Abstract
Many mathematical models have been proposed to predict death following the Coronavirus Disease 2019 (COVID-19); all started with comorbidity subsets for this still-little understood disease. Thus, we derived a novel predicted probability of death model (PDeathDx) upon all diagnostic codes documented in the Department of Veterans Affairs. We present the conceptual underpinnings and analytic approach in estimating the independent contribution of pre-existing conditions. This is the largest study to-date following patients with COVID-19 to predict mortality. Cases were identified with at least one positive nucleic acid amplification test. Starting in 1997, we use diagnoses from the first time a patient sought care until 14 days before a positive nucleic acid amplification test. We demonstrate the clear advantage of using an unrestricted set of pre-existing conditions to model COVID-19 mortality, as models using conventional comorbidity indices often assign little weight or usually do not include some of the highest risk conditions; the same is true of conditions associated with COVID-19 severity. Our findings suggest that it is risky to pick comorbidities for analysis without a systematic review of all those experienced by the cohort. Unlike conventional approaches, our comprehensive methodology provides the flexibility that has been advocated for comorbidity indices since 1993; such an approach can be readily adapted for other diseases and outcomes. With our comorbidity risk adjustment approach outperforming conventional indices for predicting COVID-19 mortality, it shows promise for predicting outcomes for other conditions of interest.
Keywords: COVID-19, risk adjustment, prognosis, big data, veterans
Introduction
The Coronavirus Disease 2019 (COVID-2019) has changed lives worldwide. In the USA, COVID-19 is estimated to have 17.2–163.4 times higher mortality rate compared to seasonal influenza; the difference in numbers is based on whether deaths due to pneumonia among those infected with influenza were included [1, 2]. In the Department of Veterans Affairs (VA), COVID-19 has been associated with 4.0-, 2.9-, and 1.3 times higher risk of death, mechanical ventilation, and admission to intensive care, respectively [3].
Several mathematical models have been proposed for predicting death from COVID-19 [4–8]. Since they are very helpful for patient management and resource allocation, their use has proliferated. One of the most important components of these models is the set of pre-existing conditions. Many diseases increase the mortality rate because they diminish the host response to infection, cause end-organ dysfunction that is further compromised by COVID-19, or severely limit life expectancy and functional status. One method for handling these conditions is to gather them under broad categories (e.g. “malignancy”) and derive a regression coefficient for each grouping [6, 7]. Another approach is to use a comorbidity scoring system such as the Charlson comorbidity index (CCI) or Elixhauser comorbidity index [4, 5, 8–13]. With this approach, the groupings are assigned weights, and the weights are added to generate a summary score. The summary score is then used as a covariate in the model. CCI and Elixhauser have been extensively validated and applied to many conditions [14]. Moreover, mathematical modeling has shown that they provide all that is necessary to handle confounding from the underlying diagnoses [15]. Having said this, their development was based on solely inpatient data [16, 17]. Also, neither method handles protective conditions. Lastly, rare diseases are not well represented. As a result, a person with a common disease of limited impact could be given a poorer prognosis than another with a rare but lethal condition.
A more sophisticated approach is to do a systematic survey of all pre-existing conditions, determine which have an impact on outcomes, and generate a predicted probability of death that represents the aggregate risk posed by those that are statistically significant. Like a propensity score, this predicted probability of death (PDeathDx) can be used as a variable in the model. Fortunately, advanced computer methods have made it possible to generate these estimates. The purpose of this study is to describe a novel approach to handling comorbidities in COVID-19 prediction models and compare the performance of PDeathDx with conventional comorbidity measures in distinguishing fatal from nonfatal cases.
Materials and methods
Cases were defined as VA patients who had at least one positive nucleic acid amplification test (NAAT) at the VA or elsewhere, identified in the VA’s COVID-19 Shared Data Resource (CSDR). We defined death within 60 days of the NAAT as the primary outcome. The outcome was retrieved from the post-index conditions file of the CSDR, which assigns a 1 to those who died and 0 otherwise. Likewise, the 2-year CCI score (Charl2Yrs), lifetime CCI score (CharlEver), 2-year Elixhauser score (Elix2Yrs), and lifetime Elixhauser score (ElixEver) were retrieved from the CSDR for each patient.
Pre-existing conditions were identified by reviewing all diagnoses entered into the electronic medical record for outpatient visits, on patient problem lists, or at the time of hospital discharge. “Pre-existing” refers to entries made at least 14 days prior to the diagnosis of COVID-19. This precaution excludes any entries that may have been made during the pre-symptomatic phases of COVID-19. International Classification of Diseases, Ninth Revision (ICD-9) codes were converted to ICD-10 using a crosswalk provided by the Centers for Medicare & Medicaid Services (CMS). A “category condition” was defined as all characters preceding the decimal point for ICD-10 codes or the ICD-9 equivalent. A patient was considered to have or not have each category condition prior to the COVID-19 diagnosis.
A computer program was used to identify all patients with a given condition who died or survived as well as all patients without the condition who died or survived. For a visual depiction of workflow, see Figure 1. The software used these cell frequencies to derive the relative risk (RR) of death associated with the condition and its confidence interval (CI). CIs were adjusted for multiple comparisons by the Bonferroni procedure [18]. A category condition was considered to have a significant effect on the outcome if there were at least 100 cases and if the lower limit for the CI was ≥1.5 or the upper limit was ≤0.80, denoting risk or protective conditions, respectively.
Another software program was used to create a diagnostic grid in which each patient was assigned a value for all significant category conditions. Since a relative risk of 1 has no effect the scale for relative risk was centered on 1, then that value was entered for the corresponding category condition, if present. Those without the condition were treated as if they had a condition with no prognostic significance and assigned a value of 0. The diagnostic grid was exported to a statistical program (StataMP 17, StataCorp LP, College Station, TX, USA). Stepwise logistic regression was used to identify those that were independently predictive of death. This procedure adjusted the contribution of each condition for the presence of the others, assigned a predicted probability of death to each patient (PDeathDx), and used PDeathDx to generate an area under a receiver operating characteristic curve (AUROC). The product of coefficient × (RR − 1) is the contribution of each condition to the logit function if present. It was therefore used to rank order the importance of the category conditions.
Differences in categorical variables were tested by chi-square analysis; differences in continuous variables were analyzed by the unpaired Student’s t-test or rank sum test. Separate logistic models were used to examine the effect of age, Charl2Yrs, CharlEver, Elix2Yrs, and ElixEver as single predictors of death; the AUROC for each was compared to the AUROC for PDeathDx.
This study followed the Transparent Reporting of a multivariate prediction model for Individual Prognosis or Diagnosis guidelines specific to development. The New Mexico VA Health Care System Institutional Review Board approved this study, granting a waiver of informed consent.
Results
As of 30 September 2021, there were 347 220 COVID-19 patients in the CSDR. Of these, 339 772 (97.9%) had at least one pre-existing condition, forming the basis of this study. The mean age at the time of diagnosis was 58.6 ± 16.7 years, 84.1% were male, 22.9% were members of a racial minority, 9.0% were Hispanic, 0.7% were on supplemental oxygen, 11.8% were current smokers, and 9.1% had been fully vaccinated at least 14 days before testing positive. Presumed to have the delta variant, 21.5% acquired their infections after 1 July 2021. Overall, 18 120 patients (5.33%) died within 60 days of their NAAT.
For the study cohort, 82 578 233 ICD-9 codes had been entered into the electronic record before the VA converted to ICD-10 codes in 2015. Of these, 81 671 483 (98.9%) were successfully converted to an ICD-10 equivalent using the CMS crosswalk. Additionally, 78 976 269 ICD-10 codes were entered at least 14 days before testing positive. After consolidation, 29 162 710 separate diagnoses were given to patients representing 41 341 ICD-10 codes. The sample size was insufficient to test each ICD-10 code for its prognostic significance. Therefore, using ICD hierarchy, individual codes were aggregated to 1890 category conditions which were assigned to the group for the first time on 19 184 437 occasions.
Of the 1890 category conditions, 425 involved ≥100 subjects and had a lower boundary for the CI ≥ 1.50 or upper boundary ≤ 0.80 (Table 1). One diagnosis [Z11 (screening for other viral diseases)] was given to 120 308 subjects and had a high RR for death; it was removed because it may have been used for COVID-19 testing before there was a suitable ICD-10 code. Preliminary regressions indicated that an additional 25 provided a perfect prediction of the outcome when present A56 (Other sexually transmitted chlamydial diseases), A60 (Anogenital herpesviral [herpes simplex] infections), A63 (Other predominantly sexually transmitted diseases, not elsewhere classified), A64 (Unspecified sexually transmitted disease), A74 (Other diseases caused by Chlamydiae), F12 (Cannabis-related disorders), F15 (Vestibular Assessment), F90 (Attention-deficit hyperactivity disorders), G43 (Migraine), J03 (Acute tonsillitis), K58 (Irritable bowel syndrome), L70 (Acne), N76 (Other inflammation of vagina and vulva), N83 (Noninflammatory disorders of ovary, fallopian tube and broad ligament), N84 (Polyp of female genital tract), N87 (Dysplasia of cervix uteri), N93 (Other abnormal uterine and vaginal bleeding), R51 (Headache), R87 (Abnormal findings in specimens from female genital organs), R92 (Abnormal and inconclusive findings on diagnostic imaging of breast), X50 (Overexertion and strenuous or repetitive movements), Z30 (Encounter for contraceptive management), Z32 (Encounter for pregnancy test and childbirth and childcare instruction), Z33 (Pregnant state), and Z60 (Problems related to social environment). Another 20 were affected by collinearity. A diagnostic grid was therefore assembled where each patient was assigned a value for each of the remaining 378 category conditions. If the diagnosis was present, (RR − 1) was assigned as its value and 0 otherwise. Stepwise logistic regression showed that 153 were statistically significant, independent predictors of death (Table 2). PDeathDx was derived for each patient; AUROC = 0.811 ± 0.002. Single variable logistic models were constructed for age at diagnosis, Charl2Yrs, CharlEver, Elix2Yrs, and ElixEver, and AUROCs determined for their predicted probabilities. PDeathDx was less powerful than age as a discriminator (AUROC = 0.812 ± 0.001; P < 0.001) but was superior to the Charl2Yr (AUROC = 0.727 ± 0.002; P < 0.001), CharlEver (AUROC = 0.753 ± 0.002; P < 0.001), Elix2Yr (AUROC = 0.694 ± 0.002; P < 0.001); and ElixEver (AUROC = 0.731 ± 0.002; P < 0.001). As can be seen from Figure 2, PDeathDx has the best performance each of the models among patients who have lower probability of death, which is relevant to the majority of patients.
Table 1:
Category condition | Most common ICD-10 code | ICD-10 category description | Number (%) of cases with category condition | Case rate | Control rate | Relative risk | 95% Confidence interval |
---|---|---|---|---|---|---|---|
G30 | G30.9 | Alzheimer’s disease | 4348 (1.2797) | 0.2672 | 0.0506 | 5.2861 | 4.7347–5.9017 |
F03 | F03.90 | Unspecified dementia | 13 895 (4.0895) | 0.2340 | 0.0456 | 5.1278 | 4.7678–5.5150 |
F02 | F02.80 | Dementia in other diseases classified elsewhere | 8684 (2.5558) | 0.2379 | 0.0485 | 4.9065 | 4.4977–5.3524 |
I10 | I10. | Essential (primary) hypertension | 208 817 (61.4580) | 0.0768 | 0.0159 | 4.8387 | 4.3920–5.3309 |
F01 | F01.50 | Vascular dementia | 6033 (1.7756) | 0.2342 | 0.0501 | 4.6786 | 4.2212–5.1856 |
Z66 | Z66. | Do not resuscitate | 6448 (1.8977) | 0.2244 | 0.0500 | 4.4864 | 4.0498–4.9700 |
R62 | R62.7 | Lack of expected normal physiological development in childhood and adults | 3414 (1.0048) | 0.2209 | 0.0516 | 4.2777 | 3.7238–4.9140 |
R54 | R54. | Age-related physical debility | 11 357 (3.3425) | 0.1983 | 0.0483 | 4.1040 | 3.7668–4.4714 |
C93 | C93.10 | Monocyte leukemia | 122 (0.0359) | 0.2131 | 0.0533 | 4.0005 | 1.9240–8.3180 |
D46 | D46.9 | Myelodysplastic syndromes | 755 (0.2222) | 0.2106 | 0.0530 | 3.9750 | 2.9513–5.3539 |
L89 | L89.90 | Pressure ulcer | 8092 (2.3816) | 0.1908 | 0.0500 | 3.8180 | 3.4499–4.2253 |
I13 | I13.0 | Hypertensive heart and chronic kidney disease | 9823 (2.8911) | 0.1844 | 0.0494 | 3.7299 | 3.3925–4.1008 |
J64 | J64. | Unspecified pneumoconiosis | 107 (0.0315) | 0.1963 | 0.0533 | 3.6833 | 1.6173–8.3882 |
C95 | C95.90 | Leukemia of unspecified cell type | 609 (0.1792) | 0.1938 | 0.0531 | 3.6505 | 2.5754–5.1743 |
R64 | R64. | Cachexia | 797 (0.2346) | 0.1932 | 0.0530 | 3.6457 | 2.6851–4.9499 |
E43 | E43. | Unspecified severe protein-calorie malnutrition | 1597 (0.4700) | 0.1904 | 0.0527 | 3.6133 | 2.9023–4.4984 |
Z74 | Z74.09 | Problems related to care provider dependency | 17 940 (5.2800) | 0.1681 | 0.0469 | 3.5822 | 3.3154–3.8704 |
D63 | D63.1 | Anemia in chronic diseases classified elsewhere | 14 823 (4.3626) | 0.1703 | 0.0480 | 3.5494 | 3.2667–3.8565 |
C24 | C24.1 | Malignant neoplasm of other and unspecified parts of biliary tract | 122 (0.0359) | 0.1885 | 0.0533 | 3.5383 | 1.6054–7.7983 |
F05 | F05. | Delirium due to known physiological condition | 3612 (1.0631) | 0.1822 | 0.0519 | 3.5070 | 3.0142–4.0803 |
Y95 | Y95. | Nosocomial condition | 355 (0.1045) | 0.1859 | 0.0532 | 3.4952 | 2.1891–5.5806 |
W06 | W06.XXXA | Fall from bed | 2167 (0.6378) | 0.1832 | 0.0525 | 3.4898 | 2.8768–4.2334 |
C78 | C78.7 | Secondary malignant neoplasm of respiratory and digestive organs | 1305 (0.3841) | 0.1839 | 0.0528 | 3.4814 | 2.7193–4.4570 |
J90 | J90. | Pleural effusion, not elsewhere classified | 5673 (1.6696) | 0.1754 | 0.0513 | 3.4218 | 3.0197–3.8774 |
J69 | J69.0 | Pneumonitis due to solids and liquids | 2896 (0.8523) | 0.1785 | 0.0523 | 3.4165 | 2.8812–4.0511 |
I50 | I50.9 | Heart failure | 36 427 (10.7210) | 0.1447 | 0.0424 | 3.4162 | 3.2021–3.6445 |
N18 | N18.9 | Chronic kidney disease | 48 428 (14.2531) | 0.1352 | 0.0397 | 3.4042 | 3.2006–3.6206 |
I75 | I75.029 | Atheroembolism | 138 (0.0406) | 0.1812 | 0.0533 | 3.4003 | 1.5879–7.2814 |
J81 | J81.0 | Pulmonary edema | 2462 (0.7246) | 0.1767 | 0.0524 | 3.3700 | 2.7995–4.0567 |
G20 | G20. | Parkinson’s disease | 5105 (1.5025) | 0.1732 | 0.0515 | 3.3623 | 2.9456–3.8379 |
N25 | N25.81 | Disorders resulting from impaired renal tubular function | 6475 (1.9057) | 0.1699 | 0.0511 | 3.3268 | 2.9515–3.7497 |
J96 | J96.01 | Respiratory failure, not elsewhere classified | 13 350 (3.9291) | 0.1624 | 0.0489 | 3.3231 | 3.0408–3.6316 |
I12 | I12.9 | Hypertensive chronic kidney disease | 26 422 (7.7764) | 0.1498 | 0.0452 | 3.3156 | 3.0895–3.5582 |
D02 | D02.20 | Carcinoma in situ of middle ear and respiratory system | 2023 (0.5954) | 0.1740 | 0.0526 | 3.3075 | 2.6919–4.0639 |
W07 | W07.XXXA | Fall from chair | 1948 (0.5733) | 0.1740 | 0.0526 | 3.3063 | 2.6807–4.0780 |
C94 | C94.6 | Other leukemias of specified cell type | 412 (0.1213) | 0.1748 | 0.0532 | 3.2860 | 2.0929–5.1592 |
N19 | N19. | Unspecified kidney failure | 7383 (2.1729) | 0.1663 | 0.0508 | 3.2729 | 2.9203–3.6680 |
L12 | L12.0 | Pemphigoid | 334 (0.0983) | 0.1737 | 0.0532 | 3.2634 | 1.9740–5.3952 |
R26 | R26.9 | Abnormalities of gait and mobility | 67 067 (19.7388) | 0.1202 | 0.0369 | 3.2578 | 3.0675–3.4598 |
Z49 | Z49.31 | Encounter for care involving renal dialysis | 1540 (0.4532) | 0.1714 | 0.0528 | 3.2472 | 2.5607–4.1178 |
I96 | I96. | Gangrene, not elsewhere classified | 2079 (0.6119) | 0.1708 | 0.0526 | 3.2459 | 2.6429–3.9864 |
H27 | H27.8 | Other specified disorders of lens | 6825 (2.0087) | 0.1642 | 0.0511 | 3.2170 | 2.8561–3.6236 |
I25 | I25.10 | Chronic ischemic heart disease | 77 259 (22.7385) | 0.1139 | 0.0355 | 3.2083 | 3.0212–3.4069 |
T66 | T66.XXXA | Radiation sickness, unspecified | 211 (0.0621) | 0.1706 | 0.0533 | 3.2036 | 1.6912–6.0686 |
C34 | C34.90 | Malignant neoplasm of bronchus and lung | 3805 (1.1199) | 0.1664 | 0.0520 | 3.1962 | 2.7354–3.7346 |
E46 | E46. | Unspecified protein–calorie malnutrition | 3568 (1.0501) | 0.1659 | 0.0521 | 3.1825 | 2.7098–3.7377 |
E44 | E44.0 | Protein–calorie malnutrition of moderate and mild degree | 3752 (1.1043) | 0.1647 | 0.0521 | 3.1623 | 2.7011–3.7022 |
C91 | C91.10 | Lymphoid leukemia | 1854 (0.5457) | 0.1661 | 0.0527 | 3.1517 | 2.5270–3.9307 |
N17 | N17.9 | Acute kidney failure | 31 785 (9.3548) | 0.1396 | 0.0444 | 3.1421 | 2.9347–3.3641 |
Z19 | Z19.2 | Hormone sensitivity malignancy status | 174 (0.0512) | 0.1667 | 0.0533 | 3.1286 | 1.5331–6.3847 |
L22 | L22. | Diaper dermatitis | 774 (0.2278) | 0.1654 | 0.0531 | 3.1159 | 2.2159–4.3814 |
G91 | G91.2 | Hydrocephalus | 917 (0.2699) | 0.1647 | 0.0530 | 3.1053 | 2.2680–4.2515 |
G92 | G92. | Toxic encephalopathy | 1085 (0.3193) | 0.1631 | 0.0530 | 3.0793 | 2.3025–4.1180 |
Y73 | Y73.2 | Gastroenterology and urology devices associated with adverse events | 735 (0.2163) | 0.1633 | 0.0531 | 3.0752 | 2.1619–4.3743 |
C79 | C79.51 | Secondary malignant neoplasm of other and unspecified sites | 2724 (0.8017) | 0.1612 | 0.0525 | 3.0721 | 2.5499–3.7014 |
Z96 | Z96.1 | Presence of other functional implants | 58 557 (17.2342) | 0.1206 | 0.0393 | 3.0656 | 2.8838–3.2588 |
E78 | E78.5 | Disorders of lipoprotein metabolism and other lipidemias | 223 873 (65.8892) | 0.0692 | 0.0226 | 3.0600 | 2.8037–3.3397 |
I73 | I73.9 | Other peripheral vascular diseases | 31 350 (9.2268) | 0.1369 | 0.0448 | 3.0545 | 2.8506–3.2730 |
R18 | R18.8 | Ascites | 2408 (0.7087) | 0.1586 | 0.0526 | 3.0172 | 2.4710–3.6840 |
C66 | C66.9 | Malignant neoplasm of ureter | 237 (0.0698) | 0.1603 | 0.0533 | 3.0107 | 1.6104–5.6286 |
Z95 | Z95.1 | Presence of cardiac and vascular implants and grafts | 34 407 (10.1265) | 0.1330 | 0.0444 | 2.9986 | 2.8020–3.2089 |
Z71 | Z71.89 | Persons encountering health services for other counseling and medical advice, not elsewhere classified | 308 757 (90.8718) | 0.0568 | 0.0190 | 2.9898 | 2.5115–3.5592 |
J91 | J91.8 | Pleural effusion in conditions classified elsewhere | 4873 (1.4342) | 0.1545 | 0.0519 | 2.9798 | 2.5795–3.4422 |
G11 | G11.1 | Hereditary ataxia | 586 (0.1725) | 0.1570 | 0.0532 | 2.9538 | 1.9729–4.4224 |
I48 | I48.91 | Atrial fibrillation and flutter | 35 951 (10.5809) | 0.1301 | 0.0442 | 2.9419 | 2.7502–3.1470 |
J15 | J15.9 | Bacterial pneumonia, not elsewhere classified | 9858 (2.9014) | 0.1482 | 0.0505 | 2.9350 | 2.6389–3.2644 |
N14 | N14.0 | Drug- and heavy-metal-induced tubulo-interstitial and tubular conditions | 405 (0.1192) | 0.1556 | 0.0532 | 2.9235 | 1.7952–4.7611 |
I67 | I67.89 | Other cerebrovascular diseases | 16 692 (4.9127) | 0.1420 | 0.0487 | 2.9125 | 2.6714–3.1754 |
H26 | H26.9 | Other cataract | 60 786 (17.8902) | 0.1156 | 0.0398 | 2.9053 | 2.7326–3.0889 |
Y71 | Y71.2 | Cardiovascular devices associated with adverse incidents | 989 (0.2911) | 0.1537 | 0.0530 | 2.8978 | 2.1144–3.9715 |
J17 | J17. | Pneumonia in diseases classified elsewhere | 2185 (0.6431) | 0.1524 | 0.0527 | 2.8925 | 2.3345–3.5838 |
J61 | J61. | Pneumoconiosis due to asbestos and other mineral fibers | 1189 (0.3499) | 0.1531 | 0.0530 | 2.8892 | 2.1653–3.8551 |
T82 | T82.818A | Complications of cardiac and vascular prosthetic devices, implants, and grafts | 6593 (1.9404) | 0.1479 | 0.0515 | 2.8738 | 2.5282–3.2668 |
I95 | I95.9 | Hypotension | 32 131 (9.4566) | 0.1301 | 0.0453 | 2.8710 | 2.6771–3.0789 |
I70 | I70.0 | Atherosclerosis | 19 489 (5.7359) | 0.1379 | 0.0482 | 2.8613 | 2.6354–3.1065 |
I27 | I27.20 | Other pulmonary heart disease | 9999 (2.9429) | 0.1445 | 0.0506 | 2.8580 | 2.5677–3.1811 |
W90 | W90.8XXA | Exposure to other nonionizing radiation | 250 (0.0736) | 0.1520 | 0.0533 | 2.8541 | 1.5219–5.3522 |
I62 | I62.00 | Other and unspecified nontraumatic intracranial hemorrhage | 1571 (0.4624) | 0.1509 | 0.0529 | 2.8530 | 2.2142–3.6762 |
N40 | N40.0 | Benign prostatic hyperplasia | 85 767 (25.2425) | 0.1036 | 0.0363 | 2.8518 | 2.6852–3.0289 |
R65 | R65.20 | Symptoms and signs specifically associated with systemic inflammation and infection | 5450 (1.6040) | 0.1468 | 0.0518 | 2.8334 | 2.4613–3.2617 |
A41 | A41.9 | Other sepsis | 12 759 (3.7552) | 0.1412 | 0.0499 | 2.8303 | 2.5681–3.1193 |
C83 | C83.30 | Nonfollicular lymphoma | 1195 (0.3517) | 0.1498 | 0.0530 | 2.8268 | 2.1123–3.7829 |
L97 | L97.509 | Nonpressure chronic ulcer of lower limb, not elsewhere classified | 13 950 (4.1057) | 0.1401 | 0.0496 | 2.8231 | 2.5701–3.1010 |
I06 | I06.0 | Rheumatic aortic valve disease | 614 (0.1807) | 0.1498 | 0.0532 | 2.8189 | 1.8796–4.2275 |
C92 | C92.10 | Myeloid leukemia | 602 (0.1772) | 0.1495 | 0.0532 | 2.8123 | 1.8667–4.2369 |
G31 | G31.84 | Other degenerative diseases of nervous system, not elsewhere classified | 21 486 (6.3237) | 0.1343 | 0.0479 | 2.8064 | 2.5905–3.0402 |
G70 | G70.00 | Myasthenia gravis and other myoneural disorders | 745 (0.2193) | 0.1490 | 0.0531 | 2.8049 | 1.9386–4.0581 |
G21 | G21.11 | Secondary parkinsonism | 2043 (0.6013) | 0.1478 | 0.0528 | 2.8019 | 2.2364–3.5103 |
D61 | D61.818 | Other aplastic anemias and other bone marrow failure syndromes | 3153 (0.9280) | 0.1468 | 0.0525 | 2.7995 | 2.3311–3.3619 |
J70 | J70.5 | Respiratory conditions due to other external agents | 438 (0.1289) | 0.1484 | 0.0532 | 2.7891 | 1.7221–4.5172 |
R57 | R57.0 | Shock, not elsewhere classified | 1089 (0.3205) | 0.1478 | 0.0530 | 2.7881 | 2.0503–3.7914 |
I63 | I63.9 | Cerebral infarction | 18 075 (5.3197) | 0.1357 | 0.0487 | 2.7853 | 2.5572–3.0338 |
C19 | C19. | Malignant neoplasm of rectosigmoid junction | 547 (0.1610) | 0.1481 | 0.0532 | 2.7847 | 1.8074–4.2903 |
H25 | H25.13 | Age-related cataract | 127 537 (37.5361) | 0.0888 | 0.0320 | 2.7742 | 2.6054–2.9539 |
W08 | W08.XXXA | Fall from other furniture | 544 (0.1601) | 0.1471 | 0.0532 | 2.7653 | 1.7896–4.2730 |
Z75 | Z75.1 | Problems related to medical facilities and other care | 10 861 (3.1966) | 0.1394 | 0.0505 | 2.7610 | 2.4854–3.0672 |
S88 | S88.119A | Traumatic amputation of lower leg | 1412 (0.4156) | 0.1459 | 0.0529 | 2.7556 | 2.0985–3.6185 |
J84 | J84.10 | Other interstitial pulmonary diseases | 7398 (2.1773) | 0.1414 | 0.0514 | 2.7524 | 2.4303–3.1172 |
N08 | N08. | Glomerular disorders in diseases classified elsewhere | 2453 (0.7220) | 0.1443 | 0.0527 | 2.7400 | 2.2233–3.3768 |
I65 | I65.29 | Occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction | 16 848 (4.9586) | 0.1344 | 0.0491 | 2.7367 | 2.5052–2.9897 |
S78 | S78.019A | Traumatic amputation of hip and thigh | 447 (0.1316) | 0.1454 | 0.0532 | 2.7329 | 1.6860–4.4299 |
J92 | J92.9 | Pleural plaque | 1007 (0.2964) | 0.1450 | 0.0531 | 2.7326 | 1.9780–3.7751 |
I69 | I69.898 | Sequelae of cerebrovascular disease | 14 535 (4.2779) | 0.1356 | 0.0497 | 2.7310 | 2.4866–2.9995 |
D64 | D64.9 | Other anemias | 62 258 (18.3235) | 0.1103 | 0.0405 | 2.7201 | 2.5576–2.8930 |
S72 | S72.009A | Fracture of femur | 3337 (0.9821) | 0.1423 | 0.0524 | 2.7140 | 2.2641–3.2535 |
C80 | C80.1 | Malignant neoplasm without specification of site | 1345 (0.3959) | 0.1435 | 0.0530 | 2.7089 | 2.0438–3.5904 |
W05 | W05.0XXA | Fall from nonmoving wheelchair, nonmotorized scooter, and motorized mobility scooter | 660 (0.1942) | 0.1439 | 0.0532 | 2.7080 | 1.8148–4.0408 |
S98 | S98.119A | Traumatic amputation of ankle and foot | 1353 (0.3982) | 0.1434 | 0.0530 | 2.7069 | 2.0437–3.5853 |
R33 | R33.9 | Retention of urine | 20 323 (5.9814) | 0.1307 | 0.0484 | 2.7009 | 2.4861–2.9343 |
C71 | C71.9 | Malignant neoplasm of brain | 557 (0.1639) | 0.1436 | 0.0532 | 2.7007 | 1.7462–4.1768 |
J47 | J47.9 | Bronchiectasis | 1749 (0.5148) | 0.1424 | 0.0529 | 2.6928 | 2.1001–3.4529 |
D53 | D53.9 | Other nutritional anemias | 4238 (1.2473) | 0.1406 | 0.0522 | 2.6927 | 2.2886–3.1682 |
J44 | J44.9 | Other chronic obstructive pulmonary disease | 63 653 (18.7340) | 0.1089 | 0.0405 | 2.6858 | 2.5255–2.8563 |
I79 | I79.8 | Disorders of arteries, arterioles, and capillaries in diseases classified elsewhere | 940 (0.2767) | 0.1426 | 0.0531 | 2.6855 | 1.9159–3.7643 |
M80 | M80.88XS | Osteoporosis with current pathological fracture | 1227 (0.3611) | 0.1418 | 0.0530 | 2.6752 | 1.9881–3.5997 |
I44 | I44.0 | Atrioventricular and left bundle-branch block | 14 983 (4.4097) | 0.1324 | 0.0497 | 2.6653 | 2.4270–2.9270 |
N26 | N26.1 | Unspecified contracted kidney | 757 (0.2228) | 0.1413 | 0.0531 | 2.6602 | 1.8232–3.8816 |
J80 | J80. | Acute respiratory distress syndrome | 1161 (0.3417) | 0.1404 | 0.0530 | 2.6474 | 1.9479–3.5981 |
C90 | C90.00 | Multiple myeloma and malignant plasma cell neoplasms | 1041 (0.3064) | 0.1402 | 0.0531 | 2.6431 | 1.9115–3.6547 |
C22 | C22.0 | Malignant neoplasm of liver and intrahepatic bile ducts | 1150 (0.3385) | 0.1400 | 0.0530 | 2.6397 | 1.9385–3.5947 |
Y82 | Y82.8 | Other and unspecified medical devices associated with adverse incidents | 1007 (0.2964) | 0.1400 | 0.0531 | 2.6383 | 1.8972–3.6688 |
I35 | I35.0 | Nonrheumatic aortic valve disorders | 12 454 (3.6654) | 0.1320 | 0.0503 | 2.6225 | 2.3688–2.9033 |
C32 | C32.9 | Malignant neoplasm of larynx | 930 (0.2737) | 0.1387 | 0.0531 | 2.6125 | 1.8504–3.6883 |
I08 | I08.0 | Multiple valve diseases | 3548 (1.0442) | 0.1370 | 0.0524 | 2.6117 | 2.1819–3.1263 |
E11 | E11.9 | Type 2 diabetes mellitus | 114 394 (33.6679) | 0.0902 | 0.0346 | 2.6085 | 2.4536–2.7731 |
I22 | I22.2 | Subsequent ST elevation (STEMI) non-ST elevation (NSTEMI) myocardial infarction | 897 (0.2640) | 0.1382 | 0.0531 | 2.6031 | 1.8311–3.7006 |
I71 | I71.4 | Aortic aneurysm and dissection | 12 513 (3.6828) | 0.1311 | 0.0504 | 2.6027 | 2.3505–2.8818 |
I21 | I21.4 | Acute myocardial infarction | 14 174 (4.1716) | 0.1297 | 0.0500 | 2.5947 | 2.3550–2.8588 |
N04 | N04.9 | Nephrotic syndrome | 1098 (0.3232) | 0.1375 | 0.0531 | 2.5920 | 1.8837–3.5666 |
J94 | J94.8 | Other pleural conditions | 726 (0.2137) | 0.1377 | 0.0531 | 2.5916 | 1.7519–3.8338 |
D04 | D04.9 | Carcinoma in situ of skin | 3845 (1.1316) | 0.1355 | 0.0524 | 2.5864 | 2.1733–3.0780 |
E87 | E87.6 | Other disorders of fluid, electrolyte, and acid–base balance | 54 353 (15.9969) | 0.1097 | 0.0426 | 2.5770 | 2.4185–2.7459 |
R60 | R60.0 | Edema, not elsewhere classified | 61 977 (18.2408) | 0.1065 | 0.0415 | 2.5673 | 2.4126–2.7320 |
T45 | T45.1X5A | Poisoning by, adverse effect of and underdosing of primarily systemic and hematological agents, not elsewhere classified | 2220 (0.6534) | 0.1351 | 0.0528 | 2.5598 | 2.0383–3.2146 |
W01 | W01.0XXA | Fall on same level from slipping, tripping and stumbling | 9034 (2.6588) | 0.1311 | 0.0512 | 2.5594 | 2.2742–2.8805 |
C85 | C85.80 | Other specified and unspecified types of non-Hodgkin’s lymphoma | 2228 (0.6557) | 0.1351 | 0.0528 | 2.5592 | 2.0386–3.2127 |
H34 | H34.219 | Retinal vascular occlusions | 7070 (2.0808) | 0.1321 | 0.0517 | 2.5575 | 2.2414–2.9181 |
J18 | J18.9 | Pneumonia, unspecified organism | 32 422 (9.5423) | 0.1187 | 0.0464 | 2.5551 | 2.3768–2.7467 |
Z45 | Z45.2 | Encounter for adjustment and management of implanted device | 11 371 (3.3467) | 0.1290 | 0.0507 | 2.5442 | 2.2854–2.8322 |
I74 | I74.3 | Arterial embolism and thrombosis | 3254 (0.9577) | 0.1337 | 0.0526 | 2.5438 | 2.1033–3.0764 |
T86 | T86.10 | Complications of transplanted organs and tissues | 1392 (0.4097) | 0.1343 | 0.0530 | 2.5349 | 1.9012–3.3798 |
E08 | E08.42 | Diabetes due to underlying condition | 20 437 (6.0149) | 0.1237 | 0.0488 | 2.5346 | 2.3283–2.7591 |
J93 | J93.83 | Pneumothorax and air leak | 1123 (0.3305) | 0.1345 | 0.0531 | 2.5341 | 1.8406–3.4889 |
A40 | A40.9 | Streptococcal sepsis | 789 (0.2322) | 0.1343 | 0.0531 | 2.5281 | 1.7269–3.7010 |
C67 | C67.9 | Malignant neoplasm of bladder | 4135 (1.2170) | 0.1323 | 0.0524 | 2.5266 | 2.1310–2.9956 |
C18 | C18.9 | Malignant neoplasm of colon | 4296 (1.2644) | 0.1318 | 0.0523 | 2.5179 | 2.1295–2.9771 |
T44 | T44.7X5A | Poisoning by, adverse effect of and underdosing of drugs primarily affecting the autonomic nervous system | 831 (0.2446) | 0.1336 | 0.0531 | 2.5139 | 1.7318–3.6493 |
R27 | R27.0 | Other lack of coordination | 5819 (1.7126) | 0.1306 | 0.0520 | 2.5125 | 2.1722–2.9061 |
Z93 | Z93.3 | Artificial opening status | 4186 (1.2320) | 0.1312 | 0.0524 | 2.5048 | 2.1131–2.9692 |
Z89 | Z89.519 | Acquired absence of limb | 5730 (1.6864) | 0.1302 | 0.0520 | 2.5031 | 2.1612–2.8992 |
Z43 | Z43.3 | Encounter for attention to artificial openings | 2992 (0.8806) | 0.1317 | 0.0526 | 2.5019 | 2.0489–3.0550 |
E10 | E10.9 | Type 1 diabetes mellitus | 20 517 (6.0385) | 0.1220 | 0.0489 | 2.4951 | 2.2911–2.7172 |
H35 | H35.31 | Other retinal disorders | 60 393 (17.7746) | 0.1051 | 0.0421 | 2.4933 | 2.3418–2.6547 |
I38 | I38. | Endocarditis, valve unspecified | 2607 (0.7673) | 0.1312 | 0.0527 | 2.4880 | 2.0084–3.0820 |
I24 | I24.8 | Other acute ischemic heart diseases | 3221 (0.9480) | 0.1307 | 0.0526 | 2.4854 | 2.0481–3.0160 |
C25 | C25.9 | Malignant neoplasm of pancreas | 636 (0.1872) | 0.1321 | 0.0532 | 2.4835 | 1.6181–3.8117 |
I77 | I77.1 | Other disorders of arteries and arterioles | 7515 (2.2118) | 0.1280 | 0.0516 | 2.4789 | 2.1759–2.8241 |
R32 | R32. | Unspecified urinary incontinence | 18 819 (5.5387) | 0.1220 | 0.0493 | 2.4746 | 2.2651–2.7034 |
I66 | I66.9 | Occlusion and stenosis of cerebral arteries, not resulting in cerebral infarction | 883 (0.2599) | 0.1314 | 0.0531 | 2.4728 | 1.7165–3.5623 |
G12 | G12.21 | Spinal muscular atrophy and related syndromes | 685 (0.2016) | 0.1314 | 0.0532 | 2.4710 | 1.6331–3.7387 |
I42 | I42.9 | Cardiomyopathy | 15 337 (4.5139) | 0.1234 | 0.0500 | 2.4677 | 2.2418–2.7164 |
I72 | I72.3 | Other aneurysm | 3524 (1.0372) | 0.1294 | 0.0525 | 2.4632 | 2.0446–2.9675 |
I05 | I05.8 | Rheumatic mitral valve diseases | 1041 (0.3064) | 0.1306 | 0.0531 | 2.4607 | 1.7558–3.4485 |
F09 | F09. | Unspecified mental disorder due to known physiological condition | 2150 (0.6328) | 0.1298 | 0.0528 | 2.4557 | 1.9380–3.1118 |
R77 | R77.0 | Other abnormalities of plasma proteins | 1284 (0.3779) | 0.1301 | 0.0530 | 2.4522 | 1.8076–3.3266 |
D62 | D62. | Acute posthemorrhagic anemia | 6406 (1.8854) | 0.1266 | 0.0519 | 2.4383 | 2.1167–2.8087 |
M86 | M86.9 | Osteomyelitis | 7523 (2.2141) | 0.1252 | 0.0517 | 2.4219 | 2.1227–2.7632 |
J43 | J43.9 | Emphysema | 9950 (2.9284) | 0.1238 | 0.0512 | 2.4182 | 2.1523–2.7169 |
I87 | I87.2 | Other disorders of veins | 23 285 (6.8531) | 0.1175 | 0.0486 | 2.4162 | 2.2250–2.6239 |
M81 | M81.0 | Osteoporosis without current pathological fracture | 10 016 (2.9479) | 0.1236 | 0.0512 | 2.4143 | 2.1494–2.7118 |
K72 | K72.90 | Hepatic failure, not elsewhere classified | 1867 (0.5495) | 0.1275 | 0.0529 | 2.4089 | 1.8641–3.1128 |
W19 | W19.XXXA | Unspecified fall | 21 689 (6.3834) | 0.1178 | 0.0489 | 2.4085 | 2.2128–2.6214 |
D38 | D38.1 | Neoplasm of uncertain behavior of middle ear and respiratory and intrathoracic organs | 1841 (0.5418) | 0.1271 | 0.0529 | 2.4015 | 1.8543–3.1101 |
T83 | T83.098A | Complications of genitourinary prosthetic devices, implants, and grafts | 3957 (1.1646) | 0.1259 | 0.0525 | 2.3983 | 2.0056–2.8679 |
I07 | I07.1 | Rheumatic tricuspid valve diseases | 3276 (0.9642) | 0.1258 | 0.0526 | 2.3898 | 1.9643–2.9075 |
M31 | M31.6 | Other necrotizing vasculopathies | 1113 (0.3276) | 0.1267 | 0.0531 | 2.3863 | 1.7117–3.3268 |
T38 | T38.0X5A | Poisoning by, adverse effect of and underdosing of hormones and their synthetic substitutes and antagonists, not elsewhere classified | 2095 (0.6166) | 0.1260 | 0.0529 | 2.3831 | 1.8674–3.0411 |
E09 | E09.65 | Drug- or chemical-induced diabetes mellitus | 893 (0.2628) | 0.1265 | 0.0531 | 2.3814 | 1.6435–3.4506 |
E63 | E63.9 | Other nutritional deficiencies | 1355 (0.3988) | 0.1255 | 0.0530 | 2.3654 | 1.7469–3.2027 |
H90 | H90.3 | Conductive and sensorineural hearing loss | 118 138 (34.7698) | 0.0855 | 0.0362 | 2.3616 | 2.2218–2.5102 |
I61 | I61.9 | Nontraumatic intracerebral hemorrhage | 1197 (0.3523) | 0.1253 | 0.0531 | 2.3610 | 1.7102–3.2595 |
G46 | G46.4 | Vascular syndromes of brain in cerebrovascular diseases | 4838 (1.4239) | 0.1234 | 0.0523 | 2.3586 | 2.0018–2.7791 |
R13 | R13.10 | Aphasia and dysphagia | 40 814 (12.0122) | 0.1080 | 0.0459 | 2.3554 | 2.1977–2.5245 |
C20 | C20. | Malignant neoplasm of rectum | 935 (0.2752) | 0.1251 | 0.0531 | 2.3552 | 1.6352–3.3920 |
E21 | E21.3 | Hyperparathyroidism and other disorders of the parathyroid gland | 4412 (1.2985) | 0.1233 | 0.0524 | 2.3526 | 1.9817–2.7930 |
K94 | K94.23 | Complications of artificial openings of the digestive system | 1165 (0.3429) | 0.1245 | 0.0531 | 2.3446 | 1.6888–3.2551 |
S37 | S37.009A | Injury of urinary and pelvic organs | 989 (0.2911) | 0.1244 | 0.0531 | 2.3412 | 1.6399–3.3423 |
S81 | S81.009A | Open wound of knee and lower leg | 8362 (2.4611) | 0.1208 | 0.0516 | 2.3395 | 2.0586–2.6588 |
D89 | D89.9 | Other disorders involving the immune mechanism, not elsewhere classified | 1590 (0.4680) | 0.1239 | 0.0530 | 2.3378 | 1.7633–3.0995 |
G45 | G45.9 | Transient cerebral ischemic attacks and related syndromes | 14 740 (4.3382) | 0.1178 | 0.0504 | 2.3365 | 2.1140–2.5823 |
Y84 | Y84.8 | Other medical procedures as the cause of abnormal reaction of the patient or of later complication, without mention of misadventure at the time of procedure | 3576 (1.0525) | 0.1228 | 0.0526 | 2.3343 | 1.9295–2.8240 |
R47 | R47.1 | Speech disturbances, not elsewhere classified | 8462 (2.4905) | 0.1204 | 0.0516 | 2.3330 | 2.0539–2.6500 |
I45 | I45.10 | Other conduction disorders | 15 283 (4.4980) | 0.1173 | 0.0503 | 2.3302 | 2.1113–2.5718 |
G81 | G81.90 | Hemiplegia and hemiparesis | 3445 (1.0139) | 0.1225 | 0.0526 | 2.3279 | 1.9171–2.8267 |
R41 | R41.2 | Other symptoms and signs involving cognitive functions and awareness | 42 168 (12.4107) | 0.1065 | 0.0458 | 2.3270 | 2.1720–2.4930 |
I11 | I11.9 | Hypertensive heart disease | 28 332 (8.3385) | 0.1117 | 0.0480 | 2.3255 | 2.1510–2.5142 |
Q84 | Q84.5 | Other congenital malformations of integument | 1698 (0.4997) | 0.1231 | 0.0530 | 2.3233 | 1.7664–3.0557 |
Q27 | Q27.9 | Other congenital malformations of peripheral vascular system | 1138 (0.3349) | 0.1230 | 0.0531 | 2.3170 | 1.6589–3.2362 |
J12 | J12.9 | Viral pneumonia, not elsewhere classified | 1835 (0.5401) | 0.1226 | 0.0530 | 2.3155 | 1.7777–3.0160 |
T36 | T36.8X5A | Poisoning by, adverse effect of, and underdosing of systemic antibiotics | 1254 (0.3691) | 0.1228 | 0.0531 | 2.3139 | 1.6824–3.1826 |
I99 | I99.8 | Other and unspecified disorders of circulatory system | 4579 (1.3477) | 0.1212 | 0.0524 | 2.3130 | 1.9511–2.7419 |
S32 | S32.009A | Fracture of lumbar spine and pelvis | 4732 (1.3927) | 0.1211 | 0.0524 | 2.3121 | 1.9555–2.7338 |
J95 | J95.811 | Intraoperative and postprocedural complications and disorders of respiratory system, not elsewhere classified | 2669 (0.7855) | 0.1218 | 0.0528 | 2.3067 | 1.8499–2.8763 |
D69 | D69.6 | Purpura and other hemorrhagic conditions | 15 284 (4.4983) | 0.1161 | 0.0504 | 2.3056 | 2.0880–2.5458 |
Z51 | Z51.89 | Encounter for aftercare and medical care | 178 296 (52.4552) | 0.0729 | 0.0317 | 2.3027 | 2.1516–2.4644 |
Z99 | Z99.89 | Dependence on enabling machines and devices, not elsewhere classified | 21 756 (6.4031) | 0.1133 | 0.0492 | 2.3027 | 2.1125–2.5100 |
N05 | N05.9 | Unspecified nephritic syndrome | 1450 (0.4268) | 0.1221 | 0.0530 | 2.3017 | 1.7091–3.0996 |
N03 | N03.9 | Chronic nephritic syndrome | 736 (0.2166) | 0.1223 | 0.0532 | 2.2994 | 1.5164–3.4866 |
R34 | R34. | Anuria and oliguria | 720 (0.2119) | 0.1222 | 0.0532 | 2.2981 | 1.5085–3.5011 |
D09 | D09.0 | Carcinoma in situ of other and unspecified sites | 3148 (0.9265) | 0.1210 | 0.0527 | 2.2967 | 1.8724–2.8172 |
C76 | C76.0 | Malignant neoplasm of other and ill-defined sites | 3221 (0.9480) | 0.1208 | 0.0527 | 2.2923 | 1.8726–2.8061 |
I37 | I37.0 | Nonrheumatic pulmonary valve disorders | 1552 (0.4568) | 0.1211 | 0.0530 | 2.2847 | 1.7112–3.0505 |
Z94 | Z94.0 | Transplanted organ and tissue status | 3033 (0.8927) | 0.1203 | 0.0527 | 2.2824 | 1.8526–2.8120 |
J16 | J16.8 | Pneumonia due to other infectious organisms, not elsewhere classified | 1240 (0.3650) | 0.1210 | 0.0531 | 2.2789 | 1.6494–3.1486 |
A04 | A04.7 | Other bacterial intestinal infections | 5175 (1.5231) | 0.1190 | 0.0523 | 2.2754 | 1.9351–2.6755 |
Z85 | Z85.828 | Personal history of malignant neoplasm | 43 622 (12.8386) | 0.1042 | 0.0458 | 2.2743 | 2.1233–2.4362 |
L60 | L60.0 | Nail disorders | 53 817 (15.8392) | 0.1007 | 0.0444 | 2.2688 | 2.1255–2.4219 |
H59 | H59.032 | Intraoperative and postprocedural complications and disorders of eye and adnexa, not elsewhere classified | 2323 (0.6837) | 0.1197 | 0.0529 | 2.2634 | 1.7830–2.8732 |
C77 | C77.0 | Secondary and unspecified malignant neoplasm of lymph nodes | 2569 (0.7561) | 0.1195 | 0.0528 | 2.2622 | 1.8024–2.8393 |
R53 | R53.1 | Malaise and fatigue | 65 148 (19.1740) | 0.0971 | 0.0430 | 2.2599 | 2.1221–2.4067 |
E86 | E86.0 | Volume depletion | 28 085 (8.2658) | 0.1091 | 0.0483 | 2.2594 | 2.0876–2.4453 |
T17 | T17.300A | Foreign body in respiratory tract | 842 (0.2478) | 0.1200 | 0.0532 | 2.2563 | 1.5221–3.3445 |
R80 | R80.3 | Proteinuria | 13 651 (4.0177) | 0.1142 | 0.0508 | 2.2489 | 2.0245–2.4983 |
Z79 | Z79.899 | Long-term (current) drug therapy | 147 374 (43.3744) | 0.0777 | 0.0346 | 2.2438 | 2.1065–2.3899 |
D47 | D47.2 | Other neoplasms of uncertain behavior of lymphoid, hematopoietic and related tissue | 5592 (1.6458) | 0.1166 | 0.0523 | 2.2306 | 1.9049–2.6119 |
N31 | N31.9 | Neuromuscular dysfunction of bladder, not elsewhere classified | 7306 (2.1503) | 0.1158 | 0.0520 | 2.2287 | 1.9386–2.5621 |
D50 | D50.9 | Iron deficiency anemia | 31 287 (9.2082) | 0.1065 | 0.0479 | 2.2208 | 2.0569–2.3978 |
S51 | S51.809A | Open wound of elbow and forearm | 3177 (0.9350) | 0.1171 | 0.0527 | 2.2207 | 1.8053–2.7317 |
R15 | R15.9 | Fecal incontinence | 3962 (1.1661) | 0.1166 | 0.0526 | 2.2176 | 1.8405–2.6720 |
I34 | I34.0 | Nonrheumatic mitral (valve) disorders | 11 109 (3.2695) | 0.1137 | 0.0513 | 2.2167 | 1.9744–2.4887 |
I89 | I89.0 | Other noninfective disorders of lymphatic vessels and lymph nodes | 5047 (1.4854) | 0.1161 | 0.0524 | 2.2165 | 1.8772–2.6172 |
H54 | H54.7 | Blindness and low vision | 25 803 (7.5942) | 0.1080 | 0.0488 | 2.2108 | 2.0363–2.4001 |
I15 | I15.8 | Secondary hypertension | 4169 (1.2270) | 0.1161 | 0.0526 | 2.2092 | 1.8411–2.6510 |
R58 | R58. | Hemorrhage, not elsewhere classified | 1357 (0.3994) | 0.1172 | 0.0531 | 2.2077 | 1.6115–3.0243 |
D01 | D01.0 | Carcinoma in situ of other and unspecified digestive organs | 2376 (0.6993) | 0.1166 | 0.0529 | 2.2045 | 1.7352–2.8007 |
R63 | R63.4 | Symptoms and signs concerning food and fluid intake | 34 666 (10.2027) | 0.1046 | 0.0475 | 2.2026 | 2.0448–2.3726 |
I36 | I36.1 | Nonrheumatic tricuspid valve disorders | 3914 (1.1519) | 0.1157 | 0.0526 | 2.2002 | 1.8226–2.6561) |
J13 | J13. | Pneumonia due to Streptococcus pneumoniae | 1115 (0.3282) | 0.1166 | 0.0531 | 2.1948 | 1.5499–3.1081 |
N28 | N28.9 | Other disorders of kidney and ureter, not elsewhere specified | 27 416 (8.0689) | 0.1067 | 0.0486 | 2.1941 | 2.0241–2.3783 |
I43 | I43. | Cardiomyopathy in diseases classified elsewhere | 1050 (0.3090) | 0.1162 | 0.0531 | 2.1867 | 1.5269–3.1315 |
D68 | D68.8 | Other coagulation defects | 5690 (1.6747) | 0.1142 | 0.0523 | 2.1845 | 1.8648–2.5591 |
E83 | E83.42 | Disorders of mineral metabolism | 22 641 (6.6636) | 0.1079 | 0.0494 | 2.1827 | 2.0014–2.3806 |
E16 | E16.2 | Other disorders of pancreatic internal secretion | 9251 (2.7227) | 0.1126 | 0.0517 | 2.1799 | 1.9207–2.4742 |
C44 | C44.91 | Merkel cell carcinoma | 21 770 (6.4072) | 0.1080 | 0.0496 | 2.1778 | 1.9940–2.3785 |
H61 | H61.23 | Other disorders of external ear | 58 221 (17.1353) | 0.0966 | 0.0444 | 2.1776 | 2.0411–2.3232 |
I51 | I51.7 | Complications and ill-defined descriptions of heart disease | 24 480 (7.2048) | 0.1066 | 0.0492 | 2.1674 | 1.9918–2.3584 |
Z46 | Z46.1 | Encounter for fitting and adjustment of other devices | 98 123 (28.8791) | 0.0863 | 0.0399 | 2.1625 | 2.0355–2.2975 |
H52 | H52.4 | Disorders of refraction and accommodation | 192 666 (56.7045) | 0.0694 | 0.0323 | 2.1442 | 2.0003–2.2985 |
D41 | D41.4 | Neoplasm of uncertain behavior of urinary organs | 3097 (0.9115) | 0.1130 | 0.0528 | 2.1412 | 1.7289–2.6517 |
E20 | E20.1 | Hypoparathyroidism | 1647 (0.4847) | 0.1135 | 0.0530 | 2.1408 | 1.6002–2.8640 |
C61 | C61. | Malignant neoplasm of prostate | 19 707 (5.8001) | 0.1069 | 0.0500 | 2.1359 | 1.9473–2.3427 |
K55 | K55.20 | Vascular disorders of intestine | 2499 (0.7355) | 0.1128 | 0.0529 | 2.1336 | 1.6821–2.7064 |
B96 | B96.81 | Other bacterial agents as the cause of diseases classified elsewhere | 20 262 (5.9634) | 0.1066 | 0.0500 | 2.1330 | 1.9466–2.3373 |
B95 | B95.61 | Streptococcus, Staphylococcus, and Enterococcus as the cause of diseases classified elsewhere | 13 437 (3.9547) | 0.1086 | 0.0511 | 2.1267 | 1.9078–2.3708 |
N32 | N32.81 | Other disorders of bladder | 19 165 (5.6405) | 0.1063 | 0.0502 | 2.1188 | 1.9291–2.3272 |
E13 | E13.9 | Other specified diabetes mellitus | 11 229 (3.3049) | 0.1089 | 0.0514 | 2.1177 | 1.8824–2.3824 |
T85 | T85.398A | Complications of other internal prosthetic devices, implants and grafts | 3710 (1.0919) | 0.1113 | 0.0527 | 2.1128 | 1.7342–2.5739 |
I85 | I85.00 | Esophageal varices | 2480 (0.7299) | 0.1117 | 0.0529 | 2.1114 | 1.6608–2.6842 |
W18 | W18.49XA | Other slipping, tripping, and stumbling and falls | 13 407 (3.9459) | 0.1077 | 0.0511 | 2.1079 | 1.8898–2.3511 |
R29 | R29.6 | Other symptoms and signs involving the nervous and musculoskeletal systems | 19 639 (5.7801) | 0.1055 | 0.0501 | 2.1035 | 1.9164–2.3089 |
H02 | H02.839 | Other disorders of eyelid | 29 211 (8.5972) | 0.1024 | 0.0487 | 2.1019 | 1.9401–2.2772 |
B35 | B35.1 | Dermatophytosis | 95 767 (28.1857) | 0.0854 | 0.0407 | 2.0963 | 1.9729–2.2274 |
G99 | G99.0 | Other disorders of nervous system in diseases classified elsewhere | 4227 (1.2441) | 0.1100 | 0.0526 | 2.0908 | 1.7351–2.5194 |
K26 | K26.9 | Duodenal ulcer | 3428 (1.0089) | 0.1103 | 0.0527 | 2.0904 | 1.7008–2.5693 |
I31 | I31.9 | Other diseases of pericardium | 3328 (0.9795) | 0.1103 | 0.0528 | 2.0899 | 1.6953–2.5764 |
H49 | H49.20 | Paralytic strabismus | 1988 (0.5851) | 0.1107 | 0.0530 | 2.0883 | 1.5957–2.7330 |
T87 | T87.89 | Complications peculiar to reattachment and amputation | 1707 (0.5024) | 0.1107 | 0.0530 | 2.0875 | 1.5620–2.7898 |
L62 | L62. | Nail disorders in diseases classified elsewhere | 1530 (0.4503) | 0.1105 | 0.0531 | 2.0813 | 1.5318–2.8279 |
N47 | N47.6 | Disorders of prepuce | 6273 (1.8462) | 0.1086 | 0.0523 | 2.0761 | 1.7776–2.4247 |
N39 | N39.0 | Other disorders of urinary system | 64 087 (18.8618) | 0.0920 | 0.0444 | 2.0733 | 1.9446–2.2105 |
T46 | T46.4X5A | Poisoning by, adverse effect of and underdosing of agents primarily affecting the cardiovascular system | 1931 (0.5683) | 0.1098 | 0.0530 | 2.0712 | 1.5746–2.7244 |
Z16 | Z16.11 | Resistance to antimicrobial drugs | 2546 (0.7493) | 0.1092 | 0.0529 | 2.0638 | 1.6235–2.6234 |
I82 | I82.409 | Other venous embolism and thrombosis | 14 028 (4.1287) | 0.1046 | 0.0511 | 2.0456 | 1.8351–2.2803 |
N12 | N12. | Tubulo-interstitial nephritis, not specified as acute or chronic | 1965 (0.5783) | 0.1084 | 0.0530 | 2.0449 | 1.5552–2.6887 |
S91 | S91.309A | Open wound of ankle, foot, and toes | 11 184 (3.2916) | 0.1054 | 0.0516 | 2.0447 | 1.8135–2.3054 |
H21 | H21.81 | Other disorders of iris and ciliary body | 5158 (1.5181) | 0.1072 | 0.0525 | 2.0422 | 1.7199–2.4248 |
H01 | H01.009 | Other inflammation of eyelid | 31 384 (9.2368) | 0.0992 | 0.0487 | 2.0391 | 1.8843–2.2066 |
I97 | I97.710 | Intraoperative and postprocedural complications and disorders of circulatory system, not elsewhere classified | 2682 (0.7894) | 0.1078 | 0.0529 | 2.0371 | 1.6095–2.5783 |
L85 | L85.3 | Other epidermal thickening | 31 066 (9.1432) | 0.0991 | 0.0487 | 2.0350 | 1.8799–2.2029 |
M15 | M15.9 | Polyosteoarthritis | 70 950 (20.8817) | 0.0892 | 0.0439 | 2.0333 | 1.9090–2.1656 |
I20 | I20.8 | Angina pectoris | 31 188 (9.1791) | 0.0990 | 0.0487 | 2.0318 | 1.8770–2.1993 |
N13 | N13.30 | Obstructive and reflux uropathy | 13 082 (3.8502) | 0.1040 | 0.0513 | 2.0264 | 1.8109–2.2676 |
L57 | L57.0 | Skin changes due to chronic exposure of nonionizing radiation | 46 813 (13.7778) | 0.0945 | 0.0467 | 2.0227 | 1.8866–2.1685 |
G60 | G60.9 | Hereditary and idiopathic neuropathy | 30 297 (8.9169) | 0.0988 | 0.0489 | 2.0219 | 1.8661–2.1907 |
M10 | M10.9 | Gout | 32 778 (9.6471) | 0.0981 | 0.0485 | 2.0210 | 1.8693–2.1849 |
M1A | M1A.9XX0 | Chronic gout | 5350 (1.5746) | 0.1060 | 0.0525 | 2.0192 | 1.7039–2.3928 |
I26 | I26.99 | Pulmonary embolism | 7323 (2.1553) | 0.1051 | 0.0522 | 2.0148 | 1.7400–2.3330 |
K56 | K56.60 | Paralytic ileus and intestinal obstruction without hernia | 8535 (2.5120) | 0.1047 | 0.0520 | 2.0141 | 1.7569–2.3090 |
G58 | G58.9 | Other mononeuropathies | 20 738 (6.1035) | 0.1011 | 0.0502 | 2.0134 | 1.8348–2.2093 |
D30 | D30.3 | Benign neoplasm of urinary organs | 1931 (0.5683) | 0.1067 | 0.0530 | 2.0119 | 1.5228–2.6581 |
K59 | K59.00 | Other functional intestinal disorders | 59 540 (17.5235) | 0.0911 | 0.0453 | 2.0108 | 1.8833–2.1469 |
R01 | R01.1 | Cardiac murmurs and other cardiac sounds | 14 466 (4.2576) | 0.1028 | 0.0511 | 2.0104 | 1.8045–2.2398 |
I47 | I47.1 | Paroxysmal tachycardia | 12 549 (3.6934) | 0.1031 | 0.0514 | 2.0053 | 1.7873–2.2500 |
L11 | L11.0 | Other acantholytic disorders | 16 439 (4.8382) | 0.1020 | 0.0509 | 2.0047 | 1.8095–2.2209 |
I49 | I49.9 | Other cardiac arrhythmias | 59 805 (17.6015) | 0.0907 | 0.0453 | 2.0015 | 1.8746–2.1370 |
M62 | M62.81 | Other disorders of muscle | 71 400 (21.0141) | 0.0882 | 0.0441 | 2.0014 | 1.8789–2.1319 |
G82 | G82.20 | Paraplegia (paraparesis) and quadriplegia (quadriparesis) | 2430 (0.7152) | 0.1058 | 0.0530 | 1.9973 | 1.5557–2.5643 |
J98 | J98.4 | Other respiratory disorders | 35 483 (10.4432) | 0.0964 | 0.0483 | 1.9959 | 1.8494–2.1540 |
C64 | C64.9 | Malignant neoplasm of kidney, except renal pelvis | 3149 (0.9268) | 0.1048 | 0.0528 | 1.9829 | 1.5896–2.4736 |
H91 | H91.90 | Other and unspecified hearing loss | 71 156 (20.9423) | 0.0876 | 0.0443 | 1.9790 | 1.8576–2.1083 |
E53 | E53.8 | Deficiency of other B group vitamins | 19 291 (5.6776) | 0.0996 | 0.0505 | 1.9712 | 1.7899–2.1710 |
R44 | R44.0 | Other symptoms and signs involving general sensations and perceptions | 4298 (1.2650) | 0.1038 | 0.0527 | 1.9697 | 1.6273–2.3841 |
R97 | R97.2 | Abnormal tumor markers | 36 803 (10.8317) | 0.0950 | 0.0483 | 1.9694 | 1.8259–2.1241 |
R91 | R91.8 | Abnormal diagnostic imaging of lung | 37 585 (11.0618) | 0.0947 | 0.0482 | 1.9658 | 1.8235–2.1193 |
H40 | H40.009 | Glaucoma | 61 759 (18.1766) | 0.0889 | 0.0454 | 1.9583 | 1.8344–2.0905 |
I16 | I16.0 | Hypertensive crisis | 5096 (1.4998) | 0.1024 | 0.0526 | 1.9481 | 1.6320–2.3254 |
Q61 | Q61.00 | Cystic kidney disease | 7172 (2.1108) | 0.1018 | 0.0523 | 1.9467 | 1.6744–2.2634 |
D49 | D49.2 | Neoplasms of unspecified behavior | 14 001 (4.1207) | 0.0998 | 0.0513 | 1.9437 | 1.7390–2.1726 |
Z76 | Z76.0 | Persons encountering health services in other circumstances | 161 461 (47.5204) | 0.0715 | 0.0369 | 1.9405 | 1.8214–2.0674 |
D07 | D07.5 | Carcinoma in situ of other and unspecified genital organs | 9818 (2.8896) | 0.1006 | 0.0519 | 1.9381 | 1.7008–2.2086 |
K74 | K74.60 | Fibrosis and cirrhosis of liver | 8439 (2.4837) | 0.1010 | 0.0521 | 1.9372 | 1.6840–2.2285 |
K83 | K83.1 | Other diseases of biliary tract | 3048 (0.8971) | 0.1024 | 0.0529 | 1.9355 | 1.5416–2.4301 |
Z86 | Z86.010 | Personal history of certain other diseases | 103 774 (30.5422) | 0.0803 | 0.0415 | 1.9350 | 1.8211–2.0561 |
N42 | N42.9 | Other and unspecified disorders of prostate | 10 264 (3.0208) | 0.1003 | 0.0519 | 1.9328 | 1.7003–2.1972 |
Y83 | Y83.1 | Surgical operation and other surgical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of procedure | 11 053 (3.2531) | 0.0999 | 0.0518 | 1.9296 | 1.7044–2.1845 |
L84 | L84. | Corns and callosities | 31 962 (9.4069) | 0.0946 | 0.0490 | 1.9284 | 1.7801–2.0891 |
R04 | R04.0 | Hemorrhage from respiratory passages | 14 831 (4.3650) | 0.0988 | 0.0513 | 1.9272 | 1.7282–2.1491 |
D72 | D72.829 | Other disorders of white blood cells | 25 660 (7.5521) | 0.0958 | 0.0499 | 1.9221 | 1.7619–2.0968 |
G93 | G93.3 | Oher disorders of brain | 39 656 (11.6714) | 0.0925 | 0.0482 | 1.9201 | 1.7824–2.0685 |
B02 | B02.9 | Zoster [herpes zoster] | 16 479 (4.8500) | 0.0976 | 0.0511 | 1.9118 | 1.7221–2.1225 |
Z92 | Z92.3 | Personal history of medical treatment | 8961 (2.6374) | 0.0994 | 0.0521 | 1.9092 | 1.6643–2.1900 |
N30 | N30.00 | Cystitis | 10 151 (2.9876) | 0.0988 | 0.0519 | 1.9027 | 1.6710–2.1666 |
R78 | R78.89 | Finding of drugs and other substances, not normally found in blood | 32 503 (9.5661) | 0.0933 | 0.0491 | 1.9012 | 1.7551–2.0595 |
R55 | R55. | Syncope and collapse | 30 812 (9.0684) | 0.0937 | 0.0493 | 1.9004 | 1.7516–2.0619 |
E03 | E03.9 | Other hypothyroidism | 35 891 (10.5633) | 0.0925 | 0.0487 | 1.9000 | 1.7588–2.0526 |
H04 | H04.123 | Disorders of lacrimal systems | 82 128 (24.1715) | 0.0830 | 0.0439 | 1.8911 | 1.7770–2.0126 |
K27 | K27.9 | Peptic ulcer, site unspecified | 7919 (2.3307) | 0.0987 | 0.0522 | 1.8901 | 1.6332–2.1874 |
Z60 | Z60.2 | Problems related to social environment | 11 811 (3.4762) | 0.0974 | 0.0517 | 1.8817 | 1.6657–2.1257 |
E27 | E27.9 | Other disorders of adrenal gland | 3916 (1.1525) | 0.0991 | 0.0528 | 1.8767 | 1.5290–2.3034 |
F06 | F06.30 | Other mental disorders due to known physiological condition | 31 408 (9.2438) | 0.0926 | 0.0493 | 1.8761 | 1.7295–2.0351 |
Z65 | Z65.9 | Problems related to other psychosocial circumstances | 127 694 (37.5823) | 0.0753 | 0.0401 | 1.8759 | 1.7653–1.9935 |
K25 | K25.9 | Gastric ulcer | 5442 (1.6017) | 0.0985 | 0.0526 | 1.8727 | 1.5718–2.2312 |
K86 | K86.1 | Other disorders of pancreas | 5781 (1.7014) | 0.0983 | 0.0526 | 1.8696 | 1.5768–2.2168 |
K68 | K68.11 | Disorders of retroperitoneum | 4165 (1.2258) | 0.0984 | 0.0528 | 1.8654 | 1.5280–2.2774 |
H18 | H18.51 | Other disorders of cornea | 11 506 (3.3864) | 0.0961 | 0.0518 | 1.8546 | 1.6380–2.0999 |
T81 | T81.89XA | Complications of procedures, not elsewhere classified | 10 309 (3.0341) | 0.0957 | 0.0520 | 1.8411 | 1.6150–2.0989 |
D51 | D51.9 | Vitamin B12 deficiency anemia | 14 069 (4.1407) | 0.0948 | 0.0515 | 1.8398 | 1.6416–2.0619 |
D29 | D29.1 | Benign neoplasm of male genital organs | 6819 (2.0069) | 0.0963 | 0.0524 | 1.8370 | 1.5670–2.1535 |
Z44 | Z44.8 | Encounter for fitting and adjustment of external prosthetic device | 5211 (1.5337) | 0.0967 | 0.0527 | 1.8369 | 1.5333–2.2005 |
M84 | M84.369S | Disorder of continuity of bone | 5832 (1.7164) | 0.0965 | 0.0526 | 1.8362 | 1.5472–2.1791 |
C43 | C43.9 | Malignant melanoma of skin | 4224 (1.2432) | 0.0968 | 0.0528 | 1.8345 | 1.5020–2.2405 |
R82 | R82.5 | Glycosuria | 14 186 (4.1752) | 0.0945 | 0.0515 | 1.8328 | 1.6357–2.0537) |
R35 | R35.0 | Polyuria | 39 834 (11.7237) | 0.0890 | 0.0486 | 1.8321 | 1.6989–1.9756 |
L82 | L82.1 | Seborrheic keratosis | 55 603 (16.3648) | 0.0859 | 0.0470 | 1.8281 | 1.7077–1.9571 |
Z91 | Z91.19 | Personal risk factors, not elsewhere classified | 64 332 (18.9339) | 0.0842 | 0.0461 | 1.8244 | 1.7083–1.9482 |
R49 | R49.0 | Voice and resonance | 12 308 (3.6224) | 0.0942 | 0.0518 | 1.8197 | 1.6114–2.0550 |
G62 | G62.9 | Other and unspecified polyneuropathies | 14 108 (4.1522) | 0.0937 | 0.0516 | 1.8167 | 1.6201–2.0371 |
H43 | H43.819 | Disorders of vitreous body | 38 102 (11.2140) | 0.0887 | 0.0489 | 1.8155 | 1.6812–1.9606 |
I83 | I83.90 | Varicose veins of lower extremity | 14 263 (4.1978) | 0.0934 | 0.0516 | 1.8107 | 1.6154–2.0297 |
S22 | S22.39XA | Fracture of rib(s), sternum, and thoracic spine | 10 436 (3.0715) | 0.0942 | 0.0520 | 1.8102 | 1.5873–2.0644 |
S31 | S31.000A | Open wound of abdomen, lower back, pelvis, and external genitals | 10 430 (3.0697) | 0.0942 | 0.0520 | 1.8093 | 1.5864–2.0635 |
Z13 | Z13.6 | Encounter for screening for other diseases and disorders | 237 211 (69.8148) | 0.0616 | 0.0341 | 1.8054 | 1.6707–1.9509 |
K57 | K57.30 | Diverticular disease of intestine | 60 553 (17.8217) | 0.0842 | 0.0466 | 1.8047 | 1.6880–1.9295 |
R06 | R06.02 | Abnormalities of breathing | 118 999 (35.0232) | 0.0750 | 0.0417 | 1.7984 | 1.6926–1.9108 |
R09 | R09.81 | Other symptoms and signs involving the circulatory and respiratory system | 40 481 (11.9142) | 0.0871 | 0.0488 | 1.7869 | 1.6567–1.9274 |
H31 | H31.009 | Other diseases of choroid | 9734 (2.8649) | 0.0931 | 0.0522 | 1.7845 | 1.5566–2.0458 |
Z23 | Z23. | Encounter for immunization | 260 232 (76.5902) | 0.0594 | 0.0336 | 1.7694 | 1.6229–1.9292 |
D12 | D12.0 | Benign neoplasm of cecum | 65 120 (19.1658) | 0.0821 | 0.0465 | 1.7646 | 1.6519–1.8850 |
K92 | K92.1 | Other diseases of digestive system | 40 170 (11.8226) | 0.0860 | 0.0489 | 1.7578 | 1.6287–1.8971 |
S01 | S01.00XA | Open wound of head | 7728 (2.2745) | 0.0921 | 0.0524 | 1.7574 | 1.5076–2.0485 |
L21 | L21.9 | Seborrheic dermatitis | 25 335 (7.4565) | 0.0885 | 0.0505 | 1.7534 | 1.6012–1.9200 |
R79 | R79.89 | Other abnormal findings of blood chemistry | 28 403 (8.3594) | 0.0879 | 0.0502 | 1.7521 | 1.6065–1.9110 |
K80 | K80.20 | Cholelithiasis | 16 844 (4.9574) | 0.0896 | 0.0514 | 1.7429 | 1.5645–1.9417 |
R31 | R31.9 | Hematuria | 42 562 (12.5266) | 0.0844 | 0.0489 | 1.7277 | 1.6025–1.8627 |
L03 | L03.90 | Cellulitis and acute lymphangitis | 70 833 (20.8472) | 0.0800 | 0.0463 | 1.7269 | 1.6183–1.8429 |
R42 | R42. | Dizziness and giddiness | 67 634 (19.9057) | 0.0800 | 0.0467 | 1.7131 | 1.6040–1.8297 |
D48 | D48.5 | Neoplasm of uncertain behavior of other and unspecified sites | 44 749 (13.1703) | 0.0834 | 0.0488 | 1.7106 | 1.5883–1.8424 |
Z98 | Z98.890 | Other postprocedural states | 92 911 (27.3451) | 0.0763 | 0.0447 | 1.7083 | 1.6057–1.8174 |
R39 | R39.15 | Other and unspecified symptoms and signs involving the genitourinary system | 29 413 (8.6567) | 0.0858 | 0.0503 | 1.7069 | 1.5654–1.8611 |
K31 | K31.89 | Other diseases of stomach and duodenum | 15 241 (4.4857) | 0.0872 | 0.0517 | 1.6854 | 1.5028–1.8900 |
M89 | M89.9 | Other disorders of bone | 17 841 (5.2509) | 0.0863 | 0.0515 | 1.6760 | 1.5056–1.8657 |
R25 | R25.2 | Abnormal involuntary movements | 28 206 (8.3014) | 0.0846 | 0.0505 | 1.6743 | 1.5323–1.8294 |
R69 | R69. | Illness, unspecified | 161 563 (47.5504) | 0.0675 | 0.0405 | 1.6691 | 1.5685–1.7761 |
Z09 | Z09. | Encounter for follow-up exam after treatment for conditions other than malignant neoplasm | 55 214 (16.2503) | 0.0803 | 0.0481 | 1.6682 | 1.5555–1.7891 |
Z48 | Z48.02 | Encounter for other postprocedural aftercare | 78 659 (23.1505) | 0.0770 | 0.0462 | 1.6660 | 1.5627–1.7760 |
M20 | M20.40 | Acquired deformities of fingers and toes | 43 692 (12.8592) | 0.0811 | 0.0492 | 1.6482 | 1.5280–1.7779 |
L98 | L98.9 | Other disorders of skin and subcutaneous tissue, not elsewhere classified | 55 257 (16.2630) | 0.0784 | 0.0485 | 1.6182 | 1.5080–1.7365 |
M19 | M19.90 | Other and unspecified osteoarthritis | 89 625 (26.3780) | 0.0737 | 0.0460 | 1.6021 | 1.5046–1.7059 |
F12 | F12.10 | Cannabis-related disorders | 24 113 (7.0968) | 0.0346 | 0.0548 | 0.6324 | 0.5463–0.7320 |
K58 | K58.9 | Irritable bowel syndrome | 17 352 (5.1070) | 0.0329 | 0.0544 | 0.6046 | 0.5071–0.7207 |
R51 | R51. | Headache | 51 370 (15.1190) | 0.0335 | 0.0569 | 0.5896 | 0.5310–0.6546 |
L70 | L70.0 | Acne | 12 335 (3.6304) | 0.0317 | 0.0541 | 0.5854 | 0.4739–0.7233 |
M22 | M22.40 | Disorder of patella | 16 168 (4.7585) | 0.0317 | 0.0544 | 0.5820 | 0.4835–0.7005 |
F15 | F15.20 | Other stimulant-related disorders | 8910 (2.6223) | 0.0300 | 0.0540 | 0.5554 | 0.4302–0.7168 |
Z56 | Z56.0 | Problems related to employment and unemployment | 34 996 (10.2998) | 0.0298 | 0.0560 | 0.5319 | 0.4661–0.6069 |
A63 | A63.0 | Other predominantly sexually transmitted diseases, not elsewhere classified | 4871 (1.4336) | 0.0279 | 0.0537 | 0.5199 | 0.3639–0.7428 |
T74 | T74.21XA | Adult and child neglect and other maltreatment, confirmed | 3385 (0.9963) | 0.0278 | 0.0536 | 0.5182 | 0.3376–0.7955 |
Z20 | Z20.828 | Contact with and (suspected) exposure to communicable diseases | 19 317 (5.6853) | 0.0279 | 0.0549 | 0.5086 | 0.4243–0.6096 |
X50 | X50.0XXA | Overexertion and strenuous or repetitive movements | 3150 (0.9271) | 0.0244 | 0.0536 | 0.4561 | 0.2838–0.7327 |
J03 | J03.90 | Acute tonsillitis | 5855 (1.7232) | 0.0243 | 0.0538 | 0.4505 | 0.3175– 0.6391 |
A60 | A60.9 | Anogenital herpesviral (herpes simplex) infection | 7165 (2.1088) | 0.0241 | 0.0540 | 0.4475 | 0.3258–0.6145 |
Z31 | Z31.5 | Encounter for procreative management | 2984 (0.8782) | 0.0221 | 0.0536 | 0.4126 | 0.2471–0.6889 |
G43 | G43.909 | Migraine | 42 103 (12.3915) | 0.0231 | 0.0576 | 0.4016 | 0.3503–0.4605 |
N95 | N95.1 | Menopausal and other perimenopausal disorders | 9036 (2.6594) | 0.0216 | 0.0542 | 0.3982 | 0.2952–0.5371 |
R92 | R92.8 | Abnormal and inconclusive findings on diagnostic imaging of breast | 3749 (1.1034) | 0.0195 | 0.0537 | 0.3626 | 0.2225–0.5907 |
N60 | N60.19 | Benign mammary dysplasia | 3693 (1.0869) | 0.0187 | 0.0537 | 0.3479 | 0.2105–0.5748 |
A64 | A64. | Unspecified sexually transmitted disease | 6612 (1.9460) | 0.0180 | 0.0540 | 0.3331 | 0.2271–0.4886 |
N85 | N85.8 | Other noninflammatory disorders of uterus, except cervix | 3702 (1.0896) | 0.0170 | 0.0537 | 0.3167 | 0.1872–0.5360 |
N46 | N46.9 | Male infertility | 2364 (0.6958) | 0.0161 | 0.0536 | 0.2999 | 0.1524–0.5904 |
N84 | N84.1 | Polyp of female genital tract | 1403 (0.4129) | 0.0157 | 0.0535 | 0.2932 | 0.1204–0.7138 |
N73 | N73.9 | Other female pelvic inflammatory disease | 1373 (0.4041) | 0.0138 | 0.0535 | 0.2587 | 0.0992–0.6745 |
L68 | L68.0 | Hypertrichosis | 1024 (0.3014) | 0.0127 | 0.0535 | 0.2375 | 0.0745–0.7569 |
N83 | N83.20 | Noninflammatory disorders of ovary, fallopian tube, and broad ligament | 5025 (1.4789) | 0.0127 | 0.0539 | 0.2361 | 0.1400–0.3984 |
N89 | N89.8 | Other noninflammatory disorders of vagina | 4793 (1.4107) | 0.0123 | 0.0539 | 0.2283 | 0.1324–0.3937 |
D25 | D25.9 | Leiomyoma of uterus | 4634 (1.3639) | 0.0123 | 0.0539 | 0.2282 | 0.1311–0.3972 |
N90 | N90.7 | Other noninflammatory disorders of vulva and perineum | 988 (0.2908) | 0.0121 | 0.0534 | 0.2272 | 0.0680–0.7594 |
F90 | F90.9 | Attention-deficit hyperactivity disorders | 11 738 (3.4547) | 0.0121 | 0.0548 | 0.2207 | 0.1552–0.3139 |
A74 | A74.9 | Other diseases caused by Chlamydiae | 1082 (0.3184) | 0.0102 | 0.0535 | 0.1901 | 0.0539–0.6713 |
N76 | N76.0 | Other inflammation of vagina and vulva | 10 023 (2.9499) | 0.0098 | 0.0547 | 0.1789 | 0.1171–0.2733 |
E28 | E28.2 | Ovarian dysfunction | 2511 (0.7390) | 0.0088 | 0.0537 | 0.1633 | 0.0669–0.3987 |
N94 | N94.6 | Pain and other conditions associated with female genital organs and menstrual cycle | 9013 (2.6527) | 0.0081 | 0.0546 | 0.1484 | 0.0908–0.2425 |
N92 | N92.0 | Excessive, frequent, and irregular menstruation | 9748 (2.8690) | 0.0081 | 0.0547 | 0.1483 | 0.0925–0.2377 |
N77 | N77.1 | Vulvovaginal ulceration and inflammation in diseases classified elsewhere | 1805 (0.5312) | 0.0078 | 0.0536 | 0.1448 | 0.0473–0.4436 |
N72 | N72. | Inflammatory disease of cervix uteri | 1687 (0.4965) | 0.0071 | 0.0536 | 0.1328 | 0.0396–0.4452 |
R87 | R87.619 | Abnormal findings in specimens from female genital organs | 6501 (1.9133) | 0.0071 | 0.0542 | 0.1305 | 0.0703–0.2422 |
N80 | N80.9 | Endometriosis | 2081 (0.6125) | 0.0067 | 0.0536 | 0.1255 | 0.0409–0.3846 |
N87 | N87.9 | Dysplasia of cervix uteri | 2020 (0.5945) | 0.0064 | 0.0536 | 0.1200 | 0.0375–0.3839 |
A56 | A56.00 | Other sexually transmitted chlamydial diseases | 1100 (0.3237) | 0.0064 | 0.0535 | 0.1190 | 0.0244–0.5801 |
N97 | N97.9 | Female infertility | 1964 (0.5780) | 0.0051 | 0.0536 | 0.0950 | 0.0252–0.3578 |
Z30 | Z30.09 | Encounter for contraceptive management | 15 303 (4.5039) | 0.0050 | 0.0556 | 0.0893 | 0.0551–0.1446 |
N91 | N91.2 | Absent, scanty, and rare menstruation | 2649 (0.7796) | 0.0042 | 0.0537 | 0.0773 | 0.0218–0.2740 |
N93 | N93.9 | Other abnormal uterine and vaginal bleeding | 5282 (1.5546) | 0.0042 | 0.0541 | 0.0770 | 0.0315–0.1884 |
Z32 | Z32.02 | Encounter for pregnancy test and childbirth and childcare instruction | 6339 (1.8657) | 0.0024 | 0.0543 | 0.0436 | 0.0147–0.1289 |
Z33 | Z33.1 | Pregnant state | 3827 (1.1263) | 0.0010 | 0.0539 | 0.0194 | 0.0024–0.1585 |
Table 2:
Category condition | Most common ICD-10 code | ICD-10 category condition description | Number (%) of cases with category condition | Coefficient | Standard error | P-value | 95% Confidence interval | Coefficient × (RR − 1)a |
---|---|---|---|---|---|---|---|---|
I10 | I10. | Essential (primary) hypertension | 208 817 (61.4580) | 0.1934 | 0.0075 | 0.0000 | 0.1787 to 0.2081 | 0.7424 |
J64 | J64. | Unspecified pneumoconiosis | 107 (0.0315) | 0.2495 | 0.1007 | 0.0130 | 0.0521 to 0.4468 | 0.6695 |
F03 | F03.90 | Unspecified dementia | 13 895 (4.0895) | 0.1619 | 0.0076 | 0.0000 | 0.1471 to 0.1768 | 0.6683 |
C93 | C93.10 | Monocytic leukemia | 122 (0.0359) | 0.2194 | 0.0815 | 0.0070 | 0.0597 to 0.3791 | 0.6583 |
C24 | C24.1 | Malignant neoplasm of other and unspecified parts of biliary tract | 122 (0.0359) | 0.2489 | 0.1006 | 0.0130 | 0.0517 to 0.4461 | 0.6318 |
C71 | C71.9 | Malignant neoplasm of brain | 557 (0.1639) | 0.3400 | 0.0786 | 0.0000 | 0.1860 to 0.4941 | 0.5782 |
C91 | C91.10 | Lymphoid leukemia | 1854 (0.5457) | 0.2492 | 0.0356 | 0.0000 | 0.1794 to 0.3189 | 0.5362 |
G70 | G70.00 | Myasthenia gravis and other myoneural disorders | 745 (0.2193) | 0.2897 | 0.0625 | 0.0000 | 0.1671 to 0.4122 | 0.5229 |
D46 | D46.9 | Myelodysplastic syndromes | 755 (0.2222) | 0.1633 | 0.0333 | 0.0000 | 0.0980 to 0.2286 | 0.4858 |
L12 | L12.0 | Pemphigoid | 334 (0.0983) | 0.1955 | 0.0703 | 0.0050 | 0.0577 to 0.3334 | 0.4425 |
C95 | C95.90 | Leukemia of unspecified cell type | 609 (0.1792) | 0.1530 | 0.0476 | 0.0010 | 0.0598 to 0.2463 | 0.4055 |
N18 | N18.9 | Chronic kidney disease (CKD) | 48 428 (14.2531) | 0.1663 | 0.0105 | 0.0000 | 0.1457 to 0.1868 | 0.3998 |
G20 | G20. | Parkinson’s disease | 5105 (1.5025) | 0.1656 | 0.0196 | 0.0000 | 0.1272 to 0.2040 | 0.3912 |
C78 | C78.7 | Secondary malignant neoplasm of respiratory and digestive organs | 1305 (0.3841) | 0.1545 | 0.0345 | 0.0000 | 0.0868 to 0.2222 | 0.3834 |
G30 | G30.9 | Alzheimer’s disease | 4348 (1.2797) | 0.0866 | 0.0107 | 0.0000 | 0.0655 to 0.1076 | 0.3712 |
J84 | J84.10 | Other interstitial pulmonary diseases | 7398 (2.1773) | 0.2074 | 0.0225 | 0.0000 | 0.1633 to 0.2516 | 0.3634 |
C85 | C85.80 | Other specified and unspecified types of non-Hodgkin lymphoma | 2228 (0.6557) | 0.2301 | 0.0451 | 0.0000 | 0.1417 to 0.3185 | 0.3588 |
R18 | R18.8 | Ascites | 2408 (0.7087) | 0.1669 | 0.0335 | 0.0000 | 0.1013 to 0.2325 | 0.3367 |
G11 | G11.1 | Hereditary ataxia | 586 (0.1725) | 0.1685 | 0.0640 | 0.0080 | 0.0431 to 0.2939 | 0.3292 |
C34 | C34.90 | Malignant neoplasm of bronchus and lung | 3805 (1.1199) | 0.1404 | 0.0272 | 0.0000 | 0.0870 to 0.1938 | 0.3083 |
Z66 | Z66. | Do not resuscitate | 6448 (1.8977) | 0.0869 | 0.0105 | 0.0000 | 0.0663 to 0.1075 | 0.3030 |
F02 | F02.80 | Dementia in other diseases classified elsewhere | 8684 (2.5558) | 0.0775 | 0.0101 | 0.0000 | 0.0578 to 0.0972 | 0.3028 |
R26 | R26.9 | Abnormalities of gait and mobility | 67 067 (19.7388) | 0.1327 | 0.0091 | 0.0000 | 0.1148 to 0.1506 | 0.2996 |
C79 | C79.51 | Secondary malignant neoplasm of other and unspecified sites | 2724 (0.8017) | 0.1445 | 0.0299 | 0.0000 | 0.0859 to 0.2031 | 0.2994 |
G12 | G12.21 | Spinal muscular atrophy and related syndromes | 685 (0.2016) | 0.2008 | 0.0842 | 0.0170 | 0.0359 to 0.3658 | 0.2954 |
C22 | C22.0 | Malignant neoplasm of liver and intrahepatic bile ducts | 1150 (0.3385) | 0.1762 | 0.0596 | 0.0030 | 0.0594 to 0.2929 | 0.2889 |
D02 | D02.20 | Carcinoma in situ middle ear and respiratory system | 2023 (0.5954) | 0.1246 | 0.0342 | 0.0000 | 0.0577 to 0.1915 | 0.2875 |
C18 | C18.9 | Malignant neoplasm of colon | 4296 (1.2644) | 0.1874 | 0.0333 | 0.0000 | 0.1221 to 0.2526 | 0.2845 |
R64 | R64. | Cachexia | 797 (0.2346) | 0.1066 | 0.0384 | 0.0060 | 0.0313 to 0.1818 | 0.2820 |
N40 | N40.0 | Benign prostatic hyperplasia | 85 767 (25.2425) | 0.1412 | 0.0103 | 0.0000 | 0.1209 to 0.1615 | 0.2615 |
C90 | C90.00 | Multiple myeloma and malignant plasma cell neoplasms | 1041 (0.3064) | 0.1577 | 0.0595 | 0.0080 | 0.0411 to 0.2743 | 0.2591 |
I25 | I25.10 | Chronic ischemic heart disease | 77 259 (22.7385) | 0.1158 | 0.0095 | 0.0000 | 0.0972 to 0.1344 | 0.2557 |
Z96 | Z96.1 | Presence of other functional implants | 58 557 (17.2342) | 0.1228 | 0.0101 | 0.0000 | 0.1031 to 0.1425 | 0.2537 |
E11 | E11.9 | Type 2 diabetes mellitus | 114 394 (33.6679) | 0.1488 | 0.0118 | 0.0000 | 0.1256 to 0.1720 | 0.2393 |
Z74 | Z74.09 | Problems related to care provider dependency | 17 940 (5.2800) | 0.0917 | 0.0102 | 0.0000 | 0.0716 to 0.1117 | 0.2368 |
L89 | L89.90 | Pressure ulcer | 8092 (2.3816) | 0.0834 | 0.0130 | 0.0000 | 0.0579 to 0.1090 | 0.2350 |
C32 | C32.9 | Malignant neoplasm of larynx | 930 (0.2737) | 0.1421 | 0.0653 | 0.0300 | 0.0140 to 0.2701 | 0.2291 |
J61 | J61. | Pneumoconiosis due to asbestos and other mineral fibers | 1189 (0.3499) | 0.1202 | 0.0467 | 0.0100 | 0.0287 to 0.2116 | 0.2271 |
R54 | R54. | Age-related physical debility | 11 357 (3.3425) | 0.0696 | 0.0096 | 0.0000 | 0.0508 to 0.0884 | 0.2160 |
J44 | J44.9 | Other chronic obstructive pulmonary disease | 63 653 (18.7340) | 0.1281 | 0.0121 | 0.0000 | 0.1043 to 0.1519 | 0.2160 |
I48 | I48.91 | Atrial fibrillation and flutter | 35 951 (10.5809) | 0.1048 | 0.0114 | 0.0000 | 0.0824 to 0.1272 | 0.2035 |
I96 | I96. | Gangrene, not elsewhere classified | 2079 (0.6119) | 0.0857 | 0.0322 | 0.0080 | 0.0225 to 0.1488 | 0.1925 |
I37 | I37.0 | Nonrheumatic pulmonary valve disorders | 1552 (0.4568) | 0.1488 | 0.0670 | 0.0260 | 0.0175 to 0.2800 | 0.1912 |
E78 | E78.5 | Disorders of lipoprotein metabolism and other dyslipidemias | 223 873 (65.8892) | 0.0921 | 0.0127 | 0.0000 | 0.0672 to 0.1170 | 0.1897 |
I71 | I71.4 | Aortic aneurysm and dissection | 12 513 (3.6828) | 0.1183 | 0.0192 | 0.0000 | 0.0808 to 0.1559 | 0.1896 |
I50 | I50.9 | Heart failure | 36 427 (10.7210) | 0.0771 | 0.0102 | 0.0000 | 0.0572 to 0.0971 | 0.1863 |
H25 | H25.13 | Age-related cataract | 127 537 (37.5361) | 0.1014 | 0.0129 | 0.0000 | 0.0762 to 0.1267 | 0.1799 |
I85 | I85.00 | Esophageal varices | 2480 (0.7299) | 0.1587 | 0.0712 | 0.0260 | 0.0192 to 0.2983 | 0.1764 |
J96 | J96.01 | Respiratory failure, not elsewhere classified | 13 350 (3.9291) | 0.0753 | 0.0135 | 0.0000 | 0.0488 to 0.1019 | 0.1749 |
N19 | N19. | Unspecified kidney failure | 7383 (2.1729) | 0.0749 | 0.0170 | 0.0000 | 0.0417 to 0.1082 | 0.1702 |
J47 | J47.9 | Bronchiectasis | 1749 (0.5148) | 0.0978 | 0.0454 | 0.0310 | 0.0089 to 0.1867 | 0.1656 |
M81 | M81.0 | Osteoporosis without current pathological fracture | 10 016 (2.9479) | 0.1163 | 0.0249 | 0.0000 | 0.0675 to 0.1652 | 0.1645 |
D04 | D04.9 | Carcinoma in situ of skin | 3845 (1.1316) | 0.1033 | 0.0345 | 0.0030 | 0.0357 to 0.1708 | 0.1639 |
H27 | H27.8 | Other disorders of lens | 6825 (2.0087) | 0.0739 | 0.0173 | 0.0000 | 0.0401 to 0.1078 | 0.1638 |
H90 | H90.3 | Conductive and sensorineural hearing loss | 118 138 (34.7698) | 0.1200 | 0.0145 | 0.0000 | 0.0915 to 0.1485 | 0.1634 |
E03 | E03.9 | Other hypothyroidism | 35 891 (10.5633) | 0.1812 | 0.0244 | 0.0000 | 0.1334 to 0.2290 | 0.1631 |
D64 | D64.9 | Other anemias | 62 258 (18.3235) | 0.0916 | 0.0122 | 0.0000 | 0.0677 to 0.1154 | 0.1576 |
B02 | B02.9 | Zoster (herpes zoster) | 16 479 (4.8500) | 0.1667 | 0.0329 | 0.0000 | 0.1022 to 0.2312 | 0.1520 |
N25 | N25.81 | Disorders resulting from impaired renal tubular function | 6475 (1.9057) | 0.0635 | 0.0191 | 0.0010 | 0.0261 to 0.1008 | 0.1478 |
I73 | I73.9 | Other peripheral vascular diseases | 31 350 (9.2268) | 0.0715 | 0.0114 | 0.0000 | 0.0492 to 0.0938 | 0.1469 |
H61 | H61.23 | Other disorders of external ear | 58 221 (17.1353) | 0.1234 | 0.0162 | 0.0000 | 0.0916 to 0.1552 | 0.1453 |
Z43 | Z43.3 | Encounter for attention to artificial openings | 2992 (0.8806) | 0.0951 | 0.0412 | 0.0210 | 0.0144 to 0.1758 | 0.1428 |
H91 | H91.90 | Other and unspecified hearing loss | 71 156 (20.9423) | 0.1438 | 0.0204 | 0.0000 | 0.1039 to 0.1838 | 0.1408 |
H26 | H26.9 | Other cataract | 60 786 (17.8902) | 0.0719 | 0.0110 | 0.0000 | 0.0504 to 0.0933 | 0.1370 |
H35 | H35.31 | Other retinal disorders | 60 393 (17.7746) | 0.0900 | 0.0132 | 0.0000 | 0.0641 to 0.1158 | 0.1344 |
C67 | C67.9 | Malignant neoplasm of bladder | 4135 (1.2170) | 0.0867 | 0.0338 | 0.0100 | 0.0203 to 0.1530 | 0.1324 |
Z95 | Z95.1 | Presence of cardiac and vascular implants and grafts | 34 407 (10.1265) | 0.0659 | 0.0121 | 0.0000 | 0.0422 to 0.0896 | 0.1317 |
R62 | R62.7 | Lack of expected normal physiological development in childhood and adults | 3414 (1.0048) | 0.0395 | 0.0150 | 0.0080 | 0.0102 to 0.0689 | 0.1295 |
J90 | J90. | Pleural effusion, not elsewhere classified | 5673 (1.6696) | 0.0519 | 0.0175 | 0.0030 | 0.0176 to 0.0862 | 0.1257 |
R63 | R63.4 | Symptoms and signs concerning food and fluid intake | 34 666 (10.2027) | 0.1042 | 0.0190 | 0.0000 | 0.0669 to 0.1415 | 0.1253 |
J43 | J43.9 | Emphysema | 9950 (2.9284) | 0.0875 | 0.0256 | 0.0010 | 0.0372 to 0.1377 | 0.1241 |
L97 | L97.509 | Nonpressure chronic ulcer of lower limb, not elsewhere classified | 13 950 (4.1057) | 0.0648 | 0.0189 | 0.0010 | 0.0278 to 0.1019 | 0.1181 |
R60 | R60.0 | Edema, not elsewhere classified | 61 977 (18.2408) | 0.0741 | 0.0128 | 0.0000 | 0.0490 to 0.0992 | 0.1161 |
C61 | C61. | Generalized hyperhidrosis | 19 707 (5.8001) | 0.0974 | 0.0262 | 0.0000 | 0.0460 to 0.1489 | 0.1106 |
H54 | H54.7 | Blindness and low vision | 25 803 (7.5942) | 0.0907 | 0.0203 | 0.0000 | 0.0510 to 0.1303 | 0.1098 |
K74 | K74.60 | Fibrosis and cirrhosis of liver | 8439 (2.4837) | 0.1148 | 0.0497 | 0.0210 | 0.0175 to 0.2122 | 0.1076 |
D63 | D63.1 | Anemia in chronic diseases classified elsewhere | 14 823 (4.3626) | 0.0421 | 0.0124 | 0.0010 | 0.0177 to 0.0665 | 0.1073 |
N47 | N47.6 | Disorders of prepuce | 6273 (1.8462) | 0.0979 | 0.0421 | 0.0200 | 0.0155 to 0.1804 | 0.1054 |
M10 | M10.9 | Gout | 32 778 (9.6471) | 0.1014 | 0.0223 | 0.0000 | 0.0576 to 0.1452 | 0.1035 |
I67 | I67.89 | Other cerebrovascular disease | 16 692 (4.9127) | 0.0534 | 0.0157 | 0.0010 | 0.0226 to 0.0842 | 0.1021 |
I70 | I70.0 | Atherosclerosis | 19 489 (5.7359) | 0.0537 | 0.0147 | 0.0000 | 0.0248 to 0.0825 | 0.1000 |
C44 | C44.91 | Other and unspecified malignant neoplasm of skin | 21 770 (6.4072) | 0.0769 | 0.0250 | 0.0020 | 0.0280 to 0.1259 | 0.0906 |
I63 | I63.9 | Cerebral infarction | 18 075 (5.3197) | 0.0507 | 0.0173 | 0.0030 | 0.0169 to 0.0845 | 0.0905 |
T82 | T82.818A | Complications of cardiac and vascular prosthetic devices, implants and grafts | 6593 (1.9404) | 0.0462 | 0.0232 | 0.0470 | 0.0006 to 0.0917 | 0.0866 |
M15 | M15.9 | Polyosteoarthritis | 70 950 (20.8817) | 0.0799 | 0.0191 | 0.0000 | 0.0424 to 0.1173 | 0.0826 |
J18 | J18.9 | Pneumonia, unspecified organism | 32 422 (9.5423) | 0.0512 | 0.0155 | 0.0010 | 0.0208 to 0.0817 | 0.0796 |
Z65 | Z65.9 | Problems related to other psychosocial circumstances | 127 694 (37.5823) | 0.0833 | 0.0209 | 0.0000 | 0.0423 to 0.1243 | 0.0730 |
I65 | I65.29 | Occlusion and stenosis of precerebral arteries, not resulting in cerebral infarction | 16 848 (4.9586) | 0.0413 | 0.0162 | 0.0110 | 0.0096 to 0.0729 | 0.0717 |
R01 | R01.1 | Cardiac murmurs and other cardiac sounds | 14 466 (4.2576) | 0.0708 | 0.0309 | 0.0220 | 0.0102 to 0.1313 | 0.0715 |
R33 | R33.9 | Retention of urine | 20 323 (5.9814) | 0.0408 | 0.0164 | 0.0130 | 0.0086 to 0.0729 | 0.0694 |
R32 | R32. | Unspecified urinary incontinence | 18 819 (5.5387) | 0.0441 | 0.0192 | 0.0220 | 0.0064 to 0.0817 | 0.0650 |
R80 | R80.3 | Proteinuria | 13 651 (4.0177) | 0.0517 | 0.0262 | 0.0490 | 0.0003 to 0.1030 | 0.0646 |
N17 | N17.9 | Acute kidney failure | 31 785 (9.3548) | 0.0282 | 0.0123 | 0.0220 | 0.0041 to 0.0523 | 0.0604 |
R97 | R97.2 | Abnormal tumor markers | 36 803 (10.8317) | 0.0617 | 0.0248 | 0.0130 | 0.0131 to 0.1103 | 0.0598 |
H02 | H02.839 | Other disorders of eyelid | 29 211 (8.5972) | 0.0526 | 0.0216 | 0.0150 | 0.0102 to 0.0950 | 0.0580 |
L57 | L57.0 | Skin changes due to chronic exposure of nonionizing radiation | 46 813 (13.7778) | 0.0494 | 0.0226 | 0.0290 | 0.0051 to 0.0937 | 0.0505 |
E87 | E87.6 | Other disorders of fluid, electrolyte, and acid–base balance | 54 353 (15.9969) | 0.0312 | 0.0138 | 0.0240 | 0.0041 to 0.0583 | 0.0492 |
R91 | R91.8 | Abnormal findings on diagnostic imaging of lung | 37 585 (11.0618) | −0.0542 | 0.0251 | 0.0310 | −0.1035 to −0.0049 | −0.0523 |
I51 | I51.7 | Complications and ill-defined descriptions of heart disease | 24 480 (7.2048) | −0.0507 | 0.0225 | 0.0240 | −0.0948 to −0.0066 | −0.0592 |
R31 | R31.9 | Hematuria | 42 562 (12.5266) | −0.0824 | 0.0309 | 0.0080 | −0.1430 to −0.0219 | −0.0600 |
R78 | R78.89 | Finding of drugs and other substances, not normally found in blood | 32 503 (9.5661) | −0.0692 | 0.0268 | 0.0100 | −0.1217 to −0.0166 | −0.0624 |
Z09 | Z09. | Encounter for follow-up exam after completed treatment for conditions other than malignant neoplasm | 55 214 (16.2503) | −0.0987 | 0.0319 | 0.0020 | −0.1612 to −0.0361 | −0.0660 |
R42 | R42. | Dizziness and giddiness | 67 634 (19.9057) | −0.0950 | 0.0282 | 0.0010 | −0.1503 to −0.0398 | −0.0677 |
R55 | R55. | Syncope and collapse | 30 812 (9.0964) | −0.0755 | 0.0277 | 0.0070 | −0.1298 to −0.0211 | −0.0680 |
M62 | M62.81 | Other disorders of muscle | 71 400 (21.0141) | −0.0695 | 0.0206 | 0.0010 | −0.1099 to −0.0291 | −0.0696 |
Z86 | Z86.010 | Personal history of certain other diseases | 103 774 (30.5422) | −0.0745 | 0.0197 | 0.0000 | −0.1132 to −0.0358 | −0.0697 |
N13 | N13.30 | Obstructive and reflux uropathy | 13 082 (3.8502) | −0.0708 | 0.0338 | 0.0360 | −0.1369 to −0.0046 | −0.0727 |
I12 | I12.9 | Hypertensive chronic kidney disease | 26 422 (7.7764) | −0.0329 | 0.0131 | 0.0120 | −0.0585 to −0.0073 | −0.0762 |
E83 | E83.42 | Disorders of mineral metabolism | 22 641 (6.6636) | −0.0670 | 0.0234 | 0.0040 | −0.1128 to −0.0212 | −0.0792 |
L03 | L03.90 | Cellulitis and acute lymphangitis | 70 833 (20.8472) | −0.1097 | 0.0282 | 0.0000 | −0.1651 to −0.0544 | −0.0797 |
L98 | L98.9 | Other disorders of skin and subcutaneous tissue, not elsewhere classified | 55 257 (16.2630) | −0.1296 | 0.0345 | 0.0000 | −0.1971 to −0.0621 | −0.0801 |
F06 | F06.30 | Other mental disorders due to physiological condition | 31 408 (9.2438) | −0.0931 | 0.0291 | 0.0010 | −0.1502 to −0.0360 | −0.0816 |
G93 | G93.3 | Other disorders of brain | 39 656 (11.6714) | −0.0957 | 0.0253 | 0.0000 | −0.1453 to −0.0461 | −0.0881 |
E86 | E86.0 | Volume depletion | 28 085 (8.2658) | −0.0714 | 0.0210 | 0.0010 | −0.1126 to −0.0302 | −0.0899 |
Z79 | Z79.899 | Long-term (current) drug therapy | 147 374 (43.3744) | −0.0736 | 0.0162 | 0.0000 | −0.1054 to −0.0419 | −0.0915 |
D50 | D50.9 | Iron deficiency anemia | 31 287 (9.2082) | −0.0753 | 0.0208 | 0.0000 | −0.1160 to −0.0345 | −0.0919 |
Z91 | Z91.19 | Personal risk factors not elsewhere classified | 64 332 (18.9339) | −0.1130 | 0.0250 | 0.0000 | −0.1620 to −0.0640 | −0.0932 |
K56 | K56.60 | Paralytic ileus and intestinal obstruction without hernia | 8535 (2.5120) | −0.0953 | 0.0406 | 0.0190 | −0.1748 to −0.0159 | −0.0966 |
M20 | M20.40 | Acquired deformities of fingers and toes | 43 692 (12.8592) | −0.1552 | 0.0345 | 0.0000 | −0.2228 to −0.0875 | −0.1006 |
I47 | I47.1 | Paroxysmal tachycardia | 12 549 (3.6934) | −0.1055 | 0.0346 | 0.0020 | −0.1732 to −0.0377 | −0.1061 |
M19 | M19.90 | Other and unspecified osteoarthritis | 89 625 (26.3780) | −0.1818 | 0.0320 | 0.0000 | −0.2445 to −0.1190 | −0.1095 |
B95 | B95.61 | Streptococcus, Staphylococcus, and Enterococcus as the cause of diseases classified elsewhere | 13 437 (3.9547) | −0.1003 | 0.0321 | 0.0020 | −0.1631 to −0.0374 | −0.1130 |
R25 | R25.2 | Abnormal involuntary movements | 28 206 (8.3014) | −0.1680 | 0.0389 | 0.0000 | −0.2443 to −0.0918 | −0.1133 |
F05 | F05. | Delirium due to known physiological condition | 3612 (1.0631) | −0.0458 | 0.0203 | 0.0240 | −0.0855 to −0.0061 | −0.1148 |
J98 | J98.4 | Other respiratory disorders | 35 483 (10.4432) | −0.1159 | 0.0247 | 0.0000 | −0.1644 to −0.0674 | −0.1154 |
S22 | S22.39XA | Fracture of rib(s), sternum and thoracic spine | 10 436 (3.0715) | −0.1438 | 0.0473 | 0.0020 | −0.2366 to −0.0511 | −0.1165 |
K31 | K31.89 | Other diseases of stomach and duodenum | 15 241 (4.4857) | −0.1706 | 0.0496 | 0.0010 | −0.2679 to −0.0734 | −0.1169 |
G46 | G46.4 | Vascular syndromes of brain in cerebrovascular diseases | 4838 (1.4239) | −0.0887 | 0.0379 | 0.0190 | −0.1631 to −0.0144 | −0.1205 |
I11 | I11.9 | Hypertensive heart disease | 28 332 (8.3385) | −0.0920 | 0.0190 | 0.0000 | −0.1291 to −0.0548 | −0.1219 |
I13 | I13.0 | Hypertensive heart and chronic kidney disease | 9823 (2.8911) | −0.0454 | 0.0133 | 0.0010 | −0.0716 to −0.0193 | −0.1239 |
Z92 | Z92.3 | Personal history of medical treatment | 8961 (2.6374) | −0.1416 | 0.0468 | 0.0030 | −0.2334 to −0.0498 | −0.1287 |
H43 | H43.819 | Disorders of vitreous body | 38 102 (11.2140) | −0.1599 | 0.0280 | 0.0000 | −0.2148 to −0.1049 | −0.1304 |
Z48 | Z48.02 | Encounter for other postprocedural aftercare | 78 659 (23.1505) | −0.1961 | 0.0303 | 0.0000 | −0.2554 to −0.1368 | −0.1306 |
G81 | G81.90 | Hemiplegia and hemiparesis | 3445 (1.0139) | −0.0999 | 0.0456 | 0.0280 | −0.1893 to −0.0105 | −0.1327 |
Y83 | Y83.1 | Surgical and medical procedures as the cause of abnormal reaction of the patient, or of later complication, without mention of misadventure at the time of procedure | 11 053 (3.2531) | −0.1500 | 0.0426 | 0.0000 | −0.2335 to −0.0666 | −0.1394 |
D62 | D62. | Acute posthemorrhagic anemia | 6406 (1.8854) | −0.1002 | 0.0306 | 0.0010 | −0.1601 to −0.0403 | −0.1441 |
I20 | I20.8 | Angina pectoris | 31 188 (9.1791) | −0.1400 | 0.0241 | 0.0000 | −0.1872 to −0.0928 | −0.1445 |
R06 | R06.02 | Abnormalities of breathing | 118 999 (35.0232) | −0.1827 | 0.0247 | 0.0000 | −0.2311 to −0.1342 | −0.1459 |
G62 | G62.9 | Other and unspecified polyneuropathies | 14 108 (4.1522) | −0.1832 | 0.0409 | 0.0000 | −0.2635 to −0.1030 | −0.1496 |
Z13 | Z13.6 | Encounter for screening for other diseases and disorders | 237 211 (69.8148) | −0.1886 | 0.0286 | 0.0000 | −0.2447 to −0.1325 | −0.1519 |
S91 | S91.309A | Open wound of ankle, foot and toes | 11 184 (3.2916) | −0.1519 | 0.0374 | 0.0000 | −0.2253 to −0.0786 | −0.1587 |
R39 | R39.15 | Other and unspecified symptoms and signs involving the genitourinary system | 29 413 (8.6567) | −0.2332 | 0.0372 | 0.0000 | −0.3061 to −0.1604 | −0.1648 |
Z98 | Z98.890 | Other postprocedural states | 92 911 (27.3451) | −0.2348 | 0.0272 | 0.0000 | −0.2881 to −0.1815 | −0.1663 |
T83 | T83.098A | Complications of genitourinary prosthetic devices, implants and grafts | 3957 (1.1646) | −0.1205 | 0.0408 | 0.0030 | −0.2004 to −0.0406 | −0.1685 |
H52 | H52.4 | Disorders of refraction and accommodation | 192 666 (56.7045) | −0.1513 | 0.0212 | 0.0000 | −0.1928 to −0.1097 | −0.1731 |
I16 | I16.0 | Hypertensive crisis | 5096 (1.4998) | −0.2349 | 0.0548 | 0.0000 | −0.3423 to −0.1275 | −0.2227 |
J16 | J16.8 | Pneumonia due to other infectious organisms, not elsewhere classified | 1240 (0.3650) | −0.1815 | 0.0750 | 0.0160 | −0.3285 to −0.0345 | −0.2321 |
Z23 | Z23. | Encounter for immunization | 260 232 (76.5902) | −0.3022 | 0.0320 | 0.0000 | −0.3649 to −0.2395 | −0.2325 |
G21 | G21.11 | Secondary parkinsonism | 2043 (0.6013) | −0.1384 | 0.0412 | 0.0010 | −0.2193 to −0.0576 | −0.2494 |
I97 | I97.710 | Intraoperative and postprocedural complications and disorders of circulatory system, not elsewhere classified | 2682 (0.7894) | −0.2555 | 0.0660 | 0.0000 | −0.3849 to −0.1260 | −0.2650 |
Z16 | Z16.11 | Resistance to antimicrobial drugs | 2546 (0.7493) | −0.2529 | 0.0682 | 0.0000 | −0.3866 to −0.1192 | −0.2690 |
T87 | T87.89 | Complications peculiar to reattachment and amputation | 1707 (0.5024) | −0.2549 | 0.0842 | 0.0020 | −0.4199 to −0.0899 | −0.2772 |
W05 | W05.0XXA | Fall from nonmoving wheelchair, nonmotorized scooter and motorized mobility scooter | 660 (0.1942) | −0.1834 | 0.0706 | 0.0090 | −0.3219 to −0.0450 | −0.3132 |
Ranked in descending order by contribution to the logit function.
Table 1 ranks the category conditions by their RR on univariate analysis. Degenerative neurologic disease and severe functional disability are represented in multiple category conditions within the 20 highest risk conditions while only one solid tumor (malignant neoplasm of other and unspecified parts of biliary tract) appears. In terms of reduced risk of death, several functional diagnoses, gynecologic disorders, and sexually transmitted diseases are present. Table 2 shows the ICD-10 codes that were independently predictive of death rank ordered by their contribution to the logit when present. Many high-risk conditions found upon univariate analysis became less so, to the point of some becoming protective, when adjusted for the effects of others. Hypertension was the most important independent risk factor for death and represented a greater threat than coronary artery disease. Degenerative neurologic diseases were prominently represented at the top of the list, while malignancies comprised the bulk of high-risk conditions.
Discussion
We present a novel method for handling pre-existing conditions in COVID-19 prediction models, currently available to VA clinicians that has several theoretical advantages over conventional comorbidity indices. (Individuals interested in the model should contact the corresponding author for more information.) Tables 1 and 2 show that this approach provides more clinical information than Charlson or Elixhauser comorbidity indices, handling rare and protective conditions. Table 3 compares the attributes of these indices with PDeathDx. Unlike conventional indices, our methodology can create a different model for every disease state and outcome, flexibilities that have been advocated in comorbidity indices since 1993 [19]. Whereas the Charlson and Elixhauser indices have static conditions in their models, PDeathDx’s methodology starts with all documented diagnostic codes, permitting flexibility of conditions to be included in the model for each disease state and outcome based on their corresponding RRs and CIs. Following this line of thought, probabilities, analogous to condition weights in the conventional comorbidity indices, will change across diseases and outcomes of interest. Furthermore, since a part of the output also includes a probability for each pattern of conditions, it can detect circumstances where disease combinations are problematic. Finally, the model can be used to return actionable information to providers. Instead of total or condition scores, this information includes the predicted probability of the outcome, the specific diagnoses contributing to the prediction, and their rank order of importance. Such information may prompt the provider to explore a mechanism of injury or an intervention to mitigate the risk.
Table 3:
Attributes | Charlson | Elixhauser | PdeathDx |
---|---|---|---|
Diagnosis specific | No | No | Yes |
Includes all relevant diagnosis | No | No | Yes |
Number of comorbidities | 19 | 30 | 153 |
Weighting | Arbitrary | None | Actual risk |
Includes protective factors | No | Yes | Yes |
Handles rare conditions | No | No | Yes |
Effect of each comorbidity adjusted for others | No | No | Yes |
Identifies all comorbid patterns and associated risks | No | No | Yes |
Setting of extracted diagnostic codes | Inpatient only | Inpatient only | Inpatient and outpatient |
PDeathDx provided powerful discrimination between COVID-19 patients who died and survived; outperforming the other comorbidity indices, it is the second most powerful predictor of those that we have examined thus far. Models using conventional comorbidity indices often assign little weight or usually do not include some of the highest risk conditions (e.g. degenerative neurological diseases); the same is true of conditions associated with COVID-19 severity (e.g. pemphigoid). Moreover, our model revealed poor prognoses were assigned to those with dementia, degenerative neurological diseases, and severe disabilities—conditions not usually associated with cardiorespiratory injury or impaired immunity. These disorders are often associated with a poor quality of life that dictates a conservative approach to treatment. If this decision is common for COVID-19 patients, then death may be more indicative of the patient’s baseline condition than severity of illness. In that event, this outcome may not be suitable for studies of interventions. Finally, multivariate analysis showed that some high-risk conditions became protective when adjusted for the effect of other components of the model. It would have been a mistake to treat the effect of these conditions as independent and additive.
We did not include age in our model for PDeathDx. First, it was intended to represent pre-existing conditions in an overarching model containing multiple domains. One domain comprised demographic characteristics including age at diagnosis. More importantly, we did not want age to displace the conditions highly correlated with age in the model. To understand the mechanisms that lead to a fatal outcome, explanatory variables should take precedence over disease markers. If age is modeled, it should be for a residual effect once causal factors have been included. Finally, age-based models do not support decision making at the point of care. For example, a physician might feel comfortable withdrawing care if the patient had Alzheimer’s disease, but not simply because the patient was old. Clinicians make recommendations based upon an assessment of the underlying conditions. It is the patient’s prerogative to decide what is appropriate based upon age and quality of life. Still, in light of a reviewer’s comment, we added age to the model. With age alone having better performance than PDeathDx, we tested its inclusion to the original model. As expected, its addition led to better performance: AUROC = 0.848; P < 0.001.
We identified two studies using clinical information (i.e. laboratory results, vital signs) with a higher AUROC, each limited to the inpatient setting and comprising a few hundred patients [20, 21]. Thus, we anticipate the next step in our approach; including demographics, laboratory values, and vital signs; would be the inpatient counterpart to this model, with a higher AUROC than found in this study. By using the current model in the outpatient setting, expeditiously identifying higher risk patients could allow time for preventive measures (e.g. conversations about potentially better management of pre-existing high-risk conditions, individualized messaging about masking or vaccination) to occur before infection or re-infection.
We included all diagnoses in the medical record because some conditions have an effect over the patient’s lifetime even if they have not been recently active. Examples include intravenous drug use or sickle cell trait. We also wanted to test our computing resources to see if they were capable of handling problems of this size. (Fortunately, our computing resources were more than sufficient.) Finally, to develop the most efficient model, it is reasonable to start with a comprehensive list of diagnoses and work backward. That strategy allows one to determine if time-limited sampling compromises the ability of PDeathDx to discriminate between survivors and nonsurvivors. Alternatively, starting with a fixed time frame for diagnoses is arbitrary and provides no information about the benefits of more remote data.
However, we still note this to be the major limitation of our approach: A person with chronic renal failure (CRF) who undergoes a transplant and regains normal renal function will still be included in the analysis of CRF. Second, PDeathDx requires programming at a high level, takes more time, and uses more computing resources. One hurdle is the systematic search for candidate diagnoses among millions of entries in the electronic record and performing screening statistical tests on thousands of root diagnoses. The other is creating a diagnostic array in which each patient is given a score for every significant diagnosis experienced by the cohort. The table must then be transferred to a statistical program capable of handling hundreds of predictors and a large number of rows. Third, the results of this analysis are dependent upon the accuracy of the documentation of pre-existing conditions, testing positive, and mortality. Documentation exists for 99% capture rate for deaths occurring internal and external to the VA [22]. Fourth, our conclusions are limited to patients with characteristics like the veteran population, which comprised older, majority male, patients. However, we note a study found similarities with the Medicare population [23].
With an AUROC = 0.811 and better performance than conventional comorbidity indices, this method shows promise. Allocating better estimates of patient risk which are informed from others’ experiences within the same healthcare system provides a complementary approach to those already in existence to support the learning health system. The approach needs to be replicated in different healthcare systems as differing care across regions and countries, unique patient characteristics in each system, and emerging variants over time may reveal different risk and protective conditions (and thus corresponding probabilities). Further studies should be done on other populations and conditions before the method should be widely applied. If validated, our method could provide a more robust alternative to comorbidity scores for handling pre-existing conditions in multivariate models.
Contributor Information
Heather M Campbell, VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center, Albuquerque, NM 87106, USA; College of Pharmacy, University of New Mexico, Albuquerque, NM 87131-0001, USA.
Allison E Murata, VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center, Albuquerque, NM 87106, USA.
Jenny T Mao, New Mexico VA Health Care System, Albuquerque, NM 87108, USA; School of Medicine, University of New Mexico, Albuquerque, NM 87106, USA.
Benjamin McMahon, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Glen H Murata, New Mexico VA Health Care System, Albuquerque, NM 87108, USA.
Data Availability
Data not publicly available.
Funding
This work was supported by the US Department of Veterans Affairs, Veterans Health Administration through the use of data, resources, and/or facilities of the New Mexico VA Health Care System, VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center, the VA COVID-19 Shared Data Resource, and the VA Informatics and Computing Infrastructure (VINCI), VA HSR RES 13-457.
Conflict of interest
Contents are expressed by the authors and do not represent the views of the Department of Veterans Affairs or the US Government.
References
- 1. Johns Hopkins Coronavirus Resource Center. Mortality Analyses. Johns Hopkins University & Medicine, 2020. https://coronavirus.jhu.edu/data/mortality (21 March 2022, date last accessed).
- 2. National Center for Health Statistics. FastStats: Influenza. Centers for Disease Control and Prevention, 2022. https://www.cdc.gov/nchs/fastats/flu.htm (1 February 2022, date last accessed).
- 3. Xie Y, Bowe B, Maddukuri G, Al-Aly Z.. Comparative evaluation of clinical manifestations and risk of death in patients admitted to hospital with COVID-19 and seasonal influenza: cohort study. BMJ 2020;371:m4677. 10.1136/bmj.m4677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. King JT, Yoon JS, Rentsch CT. et al. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: the Veterans Health Administration COVID-19 (VACO) Index. PLoS One 2020;15:e0241825. 10.1371/journal.pone.0241825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ioannou GN, Green P, Fan VS. et al. Development of COVIDVax model to estimate the risk of SARS-CoV-2-related death among 7.6 million US veterans for use in vaccination prioritization. JAMA Netw Open 2021;4:e214347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Barda N, Riesel D, Akriv A. et al. Developing a COVID-19 mortality risk prediction model when individual-level data are not available. Nat Commun 2020;11:1–9. 10.1038/s41467-020-18297-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Hippisley-Cox J, Coupland CAC, Mehta N. et al. Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study. BMJ 2021;374:n2244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Cohn BA, Cirillo PM, Murphy CC. et al. SARS-CoV-2 vaccine protection and deaths among US veterans during 2021. Science 2022;375:331–36. 10.1126/science.abm0620. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Bennett TD, Moffitt RA, Hajagos JG. et al. ; National COVID Cohort Collaborative (N3C) Consortium. Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative. JAMA Netw Open 2021;4:e2116901. 10.1001/jamanetworkopen.2021.16901. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Yao Z, Zheng X, Zheng Z. et al. Construction and validation of a machine learning-based nomogram: a tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19). Immun Inflamm Dis 2021;9:595–607. 10.1002/iid3.421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Marcos M, Belhassen-Garcia M, Sanchez-Puente A. et al. Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients. PLoS One 2021;16:e0240200. 10.1371/journal.pone.0240200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Lee DS, Ma S, Chu A. et al. ; CORONA Collaboration. Predictors of mortality among long-term care residents with SARS-CoV-2 infection. J Am Geriatr Soc 2021;69:3377–88. 10.1371/journal.pone.0241825. [DOI] [PubMed] [Google Scholar]
- 13. Douville NJ, Douville CB, Mentz G. et al. Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19. Br J Anaesth 2021;126:578–89. 10.1016/j.bja.2020.11.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Tuty Kuswardhani RA, Henrina J, Pranata R. et al. Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: a systematic review and meta-analysis. Diabetes Metab Syndr 2020;14:2103–09. 10.1016/j.dsx.2020.10.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Austin SR, Wong YN, Uzzo RG. et al. Why summary comorbidity measures such as the Charlson Comorbidity Index and Elixhauser Score work. Med Care 2015;53:e65–72. 10.1097/MLR.0b013e318297429c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Charlson ME, Pompei P, Ales KL. et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40:373–83. [DOI] [PubMed] [Google Scholar]
- 17. Elixhauser A, Steiner C, Harris DR. et al. Comorbidity measures for use with administrative data. Med Care 1998;36:8–27. [DOI] [PubMed] [Google Scholar]
- 18. Keppel G, Wickens TD.. Design and Analysis: A Researcher’s Handbook. 4th edn. Upper Saddle River, NJ: Pearson Prentice Hall, 2004, 117–19. [Google Scholar]
- 18. Romano PS, Roos LL, Jollis JG.. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol 1993;46:1075–79. Discussion 81–90. [DOI] [PubMed] [Google Scholar]
- 19. Hou W, Zhao Z, Chen A. et al. Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables. Int J Med Sci 2021;18:1739–45. 10.7150/ijms.51235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Ma X, Ng M, Xu S. et al. Development and validation of prognosis model of mortality risk in patients with COVID-19. Epidemiol Infect 2020;148:e168. 10.1017/S0950268820001727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Arnold N. CDW Date of Death Analysis and Vital Status File Comparison Update. Washington, D.C.: Department of Veterans Affairs Data Quality Program Office of Informatics and Analytics Health Insurance Governance, 2019, 1–11. [Google Scholar]
- 22. Wong ES, Wang V, Liu CF. et al. Do Veterans Health Administration enrollees generalize to other populations? Med Care Res Rev 2016;73:493–507. [DOI] [PubMed] [Google Scholar]
Associated Data
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Data Availability Statement
Data not publicly available.