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. 2022 Aug 4;7(1):bpac017. doi: 10.1093/biomethods/bpac017

A novel method for handling pre-existing conditions in multivariate prediction model development for COVID-19 death in the Department of Veterans Affairs

Heather M Campbell 1,2,, Allison E Murata 3, Jenny T Mao 4,5, Benjamin McMahon 6, Glen H Murata 7
PMCID: PMC9384686  PMID: 36168399

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.

Figure 1:

Figure 1:

Diagnosis grid overview.

Cat: category condition; Pt: patient; Dth: death; RelRisk: relative risk.

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:

ICD-10 category conditions predictive of death on univariate analysis

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:

Multivariate model for COVID-19 death based upon pre-existing conditions

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
a

Ranked in descending order by contribution to the logit function.

Figure 2:

Figure 2:

Comparison of AUROC

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:

Comparison of methods for handling comorbidities

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]

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