Key Points
Question
What is the association between intensification of outpatient diabetes medications at hospital discharge and clinical outcomes in older adults hospitalized for common medical conditions?
Findings
In this cohort study of 5296 propensity-matched older veterans with diabetes who were hospitalized for common medical conditions, discharge with intensified diabetes medication was associated with an increased risk of severe hypoglycemia within 30 days and was not associated with a reduction in severe hyperglycemia events or hemoglobin A1c level at 1 year.
Meaning
These findings indicate that short-term hospitalization may not be an effective time to intervene in long-term diabetes management.
Abstract
Importance
Transient elevations of blood glucose levels are common in hospitalized older adults with diabetes and may lead clinicians to discharge patients with more intensive diabetes medications than they were using before hospitalization.
Objective
To investigate outcomes associated with intensification of outpatient diabetes medications at discharge.
Design, Setting, and Participants
This retrospective cohort study assessed patients 65 years and older with diabetes not taking insulin who were hospitalized in the Veterans Health Administration Health System between January 1, 2011, and September 28, 2016, for common medical conditions. Data analysis was performed from January 1, 2020, to March 31, 2021.
Exposure
Discharge with intensified diabetes medications, defined as filling a prescription at hospital discharge for a new or higher-dose medication than was being used before hospitalization. Propensity scores were used to construct a matched cohort of patients who did and did not receive diabetes medication intensifications.
Main Outcomes and Measures
Coprimary outcomes of severe hypoglycemia and severe hyperglycemia were assessed at 30 and 365 days using competing risk regressions. Secondary outcomes included all-cause readmissions, mortality, change in hemoglobin A1c (HbA1c) level, and persistent use of intensified medications at 1 year after discharge.
Results
The propensity-matched cohort included 5296 older adults with diabetes (mean [SD] age, 73.7 [7.7] years; 5212 [98.4%] male; and 867 [16.4%] Black, 47 [0.9%] Hispanic, 4138 [78.1%] White), equally split between those who did and did not receive diabetes medication intensifications at hospital discharge. Within 30 days, patients who received medication intensifications had a higher risk of severe hypoglycemia (hazard ratio [HR], 2.17; 95% CI, 1.10-4.28), no difference in risk of severe hyperglycemia (HR, 1.00; 95% CI, 0.33-3.08), and a lower risk of death (HR, 0.55; 95% CI, 0.33-0.92). At 1 year, no differences were found in the risk of severe hypoglycemia events, severe hyperglycemia events, or death and no difference in change in HbA1c level was found among those who did vs did not receive intensifications (mean postdischarge HbA1c, 7.72% vs 7.70%; difference-in-differences, 0.02%; 95% CI, −0.12% to 0.16%). At 1 year, 48.0% (591 of 1231) of new oral diabetes medications and 38.5% (548 of 1423) of new insulin prescriptions filled at discharge were no longer being filled.
Conclusions and Relevance
In this national cohort study, among older adults hospitalized for common medical conditions, discharge with intensified diabetes medications was associated with an increased short-term risk of severe hypoglycemia events but was not associated with reduced severe hyperglycemia events or improve HbA1c control. These findings indicate that short-term hospitalization may not be an effective time to intervene in long-term diabetes management.
This cohort study of older US veterans evaluated the association between intensification of home diabetes medications at hospital discharge and postdischarge outcomes.
Introduction
Modification of older adults’ home medications during short-term hospitalization is common. Changes to home medications may be temporary in response to acute illness or may reflect planned changes to management of chronic disease.1,2,3,4,5 A particularly common scenario is adjustment of diabetes medications.5,6 During hospitalization for acute illness, older adults with diabetes may experience fluctuating blood glucose control, driven by changes in eating patterns, medication exposures, and catecholamine surges. As a result, hospitalization is a high-risk time for serious hypoglycemia and hyperglycemia events.7,8,9,10,11 Practice guidelines advise broader ranges for inpatient blood glucose levels than are recommended in the outpatient setting and recommend stopping the use of home oral agents and initiating the use of short-term insulin in many clinical scenarios.12,13,14
Safe diabetes management for older adults requires careful balancing of the short-term risks of medication-induced hypoglycemia15,16,17 with the long-term benefits of blood glucose control.18,19 Transient elevations in blood glucose during hospitalization likely have little long-term significance, yet these increases commonly precipitate intensification of home regimens, including discharging patients with new insulin or oral agents.5 For patients with uncontrolled diabetes, hospitalization could be an opportune time to address hyperglycemia and set patients on the path toward improved chronic disease control. However, the posthospitalization period is also a particularly high-risk time for adverse drug events and medication errors. Although clinical trials and guidelines have helped inform long-term diabetes treatment strategies for ambulatory older adults, this evidence does not reflect the perihospitalization period, during which time older adults have an increased susceptibility to adverse drug events20,21 and may not be generalizable to hospitalized older adult populations, who face greater frailty and more limited life expectancy than clinical trial participants.22,23
Because the clinical outcomes associated with diabetes medication intensifications made at hospital discharge are unknown, we conducted a retrospective cohort study of older adults with diabetes who were hospitalized in the national Veterans Health Administration (VHA) health system for common noncardiac conditions. We evaluated the association between intensification of home diabetes medications at hospital discharge and postdischarge outcomes, including severe hypoglycemia and hyperglycemia events, mortality, hemoglobin A1c (HbA1c) control at 1 year, and persistent use of discharge medications at 1 year after discharge.
Methods
We conducted a retrospective cohort study using national inpatient and outpatient VHA pharmacy and clinical data merged with VHA and Medicare claims data from 2009 to 2018. This research was approved by the institutional review boards of the San Francisco Veterans Affairs Medical Center and the University of California, San Francisco. A waiver of informed consent was obtained because administrative data were used and all data were deidentified. Data analysis was performed from January 1, 2020, to March 31, 2021. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
Study Population
The study population consisted of adults with diabetes 65 years and older who were admitted to a VHA hospital between January 1, 2011, and September 28, 2016, for common medical conditions and discharged to the community setting (eFigure 1 in the Supplement). Diabetes was defined by the presence of 2 outpatient diagnoses or any hospital discharge diagnosis of diabetes in the 2 years that preceded the index hospitalization using previously validated algorithms.24,25 Because diagnosis-based algorithms may capture patients with a history of diabetes or currently being evaluated for diabetes, to enhance specificity we examined only patients who were taking a diabetes medication before hospitalization or had an HbA1c level greater than 6.5% (to convert to proportion of total hemoglobin, multiply by 0.01) in the year before hospitalization.
Conditions were identified by primary discharge diagnosis code grouped by Clinical Classification Software categories and included the following: acute coronary syndrome, arrhythmia, asthma, chest pain, chronic obstructive pulmonary disease, coronary artery disease, conduction disorders, heart failure, heart valve disorders, pneumonia, sepsis, skin infection, stroke, transient ischemic attack, and urinary tract infection. These conditions were chosen because they are among the most common medical discharge diagnoses for older adults and their short-term management does not typically require intensification of outpatient diabetes medications. Patients discharged with a secondary discharge diagnosis of diabetic ketoacidosis or nonketotic hyperglycemic-hyperosmolar coma were excluded because these conditions typically necessitate an immediate change in diabetes treatment.
To ensure accurate classification of medication use, we excluded patients likely to receive medications outside the VHA, including patients who received more than 20% of their outpatient care outside the VHA, patients admitted from skilled nursing facilities, and patients who had been hospitalized in the 30 days that preceded the index hospitalization.26 Patients enrolled in hospice were excluded given differing goals of care. Because instructions to modify insulin dosing are infrequently accompanied by a new prescription, dosing changes cannot be accurately assessed using pharmacy databases; thus, we limited our study to patients not using insulin before hospitalization.
Exposure
We compared patients discharged with intensified diabetes medication regimens to those discharged without intensifications. Intensifications were defined as newly prescribed diabetes medications that were not being used before hospitalization and medications present on admission for which a discharge prescription was filled for a dose increase of more than 20%. Intensifications were ascertained based on VHA pharmacy dispensing data using previously published methods, which included medications filled within 2 days before to 2 days after discharge.26,27 We examined all medication classes in use during the study period: biguanides, sulfonylureas, thiazolidinediones, α-glucosidase inhibitors, dipeptidyl peptidase 4 inhibitors, meglitinides, glucagon-like peptide 1 (GLP-1) agonists, sodium-glucose cotransporter 2 (SGLT2) inhibitors, and insulins.
Outcomes
The 2 primary outcomes were chosen a priori to assess possible benefits and harms of diabetes medication intensification: severe hyperglycemia events and severe hypoglycemia events. Primary outcomes were examined at 30 days to assess immediate outcomes and at 365 days to assess longer term outcomes. On the basis of prior studies,15,28,29 primary outcomes were defined as a composite of emergency department (ED) visits, observation stays, and hospitalizations for severe hypoglycemia and severe hyperglycemia (eTable 1 in the Supplement). Secondary outcomes included all-cause readmissions at 30 and 365 days, mortality at 30 and 365 days, change in HbA1c at 1 year, and persistent use of diabetes medication prescriptions filled at discharge at 1 year.
Statistical Analysis
We used propensity score approaches that involved multiple steps. First, a logistic regression model was developed to estimate the propensity of receiving a medication intensification at discharge. Covariates were derived from variables examined in prior diabetes treatment trials13,30 and according to clinical expertise18 and included demographic characteristics, comorbidities,31 prehospitalization and hospital vital signs, laboratory values, health care use, and medications (eTable 2 in the Supplement). Missing data were imputed using the fully conditional specification method and 20 imputation sets. One-to-one nearest neighbor matching without replacement was performed and covariate balance between groups was assessed using standardized mean differences.32,33
Second, within propensity score–matched groups, survival analyses were conducted for hyperglycemia, hypoglycemia, mortality, and readmission outcomes using Cox proportional hazards regression models for mortality and Fine and Gray proportional subdistribution hazards models for all other outcomes to account for the competing risk of death.34 For all models, SEs accounted for clustering of patients within hospitals. To aid in interpretation of subdistribution hazard models, unadjusted event rates are presented for each group.
Third, within propensity score–matched groups, the change in HbA1c at 1 year after discharge was estimated using a difference-in-differences approach. Linear regression models were used to estimate the change in HbA1c level associated with discharge with intensified diabetes medications after subtracting the background change among patients who did not receive medication intensifications.35,36
Fourth, for the unmatched cohort, we examined persistence to diabetes medications filled at discharge during the subsequent year. We examined diabetes medication prescriptions filled at discharge, including new medication prescriptions and prescription fills of admission medications at higher, lower, or the same doses. For each diabetes medication filled at discharge, we calculated persistence as the number of days between the discharge fill and the last refill for the same or greater dose plus the days supplied by the latest refill.37 We constructed Kaplan-Meier curves and used the log-rank test to examine differences in persistence by type of fill: continuation, dose increase, dose decrease, new oral medication, or new insulin.
We conducted subgroup analyses to determine the differential impact of exposure to intensified diabetes medications by prehospitalization diabetes control. We classified patients as having controlled or elevated prehospitalization HbA1c levels using a threshold HbA1c of 7.5%, acknowledging the uncertainty surrounding exact HbA1c targets in older adults.18,22,38 We then repeated propensity score matching and analyses for each baseline HbA1c group separately.
Analyses were conducted using Stata software, version 14.1 (StataCorp LLC). For all analyses, we determined statistical significance using 95% CIs. A 2-sided P < .05 was also considered statistically significant.
Results
The unmatched cohort included 28 198 older adults with diabetes admitted to 115 VHA hospitals (mean [SD] age, 73.7 [7.7] years; 27 710 [98.3%] male; 4160 [14.8%] Black; 394 [1.4%] Hispanic, 22 600 [80.1%] White), of whom 2768 (9.8%) received diabetes medication intensifications at discharge. Most intensifications were new insulins (n = 1423) or sulfonylureas (n = 640) (eTable 2 in the Supplement). Patients discharged with medication intensifications were younger, had higher mean prehospitalization HbA1c values, higher inpatient blood glucose recordings, fewer admission medications, and longer length of stay (Table 1; eTable 3 in the Supplement).
Table 1. Selected Cohort Characteristics Before and After Propensity Score Matching.
| Characteristica,b | Before propensity score matching | After propensity score matching | ||||
|---|---|---|---|---|---|---|
| Intensified (n = 2768) | Not intensified (n = 25 430) | SMDc | Intensified (n = 2648) | Not intensified (n = 2648) | SMDc | |
| Age, mean (SD), y | 72.6 (7.3) | 73.8 (7.7) | 0.16 | 72.7 (7.3) | 72.8 (7.3) | 0.01 |
| Sex, No. (%) | ||||||
| Male | 2721 (98.3) | 24 989 (98.3) | 0.00 | 2603 (98.3) | 2609 (98.5) | 0.02 |
| Female | 47 (1.7) | 441 (1.7) | 45 (1.7) | 39 (1.5) | ||
| Race and ethnicity, No. (%) | ||||||
| Black | 456 (16.5) | 3704 (14.6) | 0.09 | 426 (16.1) | 441 (16.7) | 0.02 |
| Hispanic | 28 (1.0) | 366 (1.4) | 26 (1.0) | 21 (0.8) | ||
| White | 2155 (77.9) | 20 445 (80.4) | 2074 (78.3) | 2064 (77.9) | ||
| Otherd | 129 (4.7) | 915 (3.6) | 122 (4.6) | 122 (4.6) | ||
| Preadmission clinical characteristics, mean (SD) | ||||||
| BMI | 31.2 (6.6) | 30.8 (6.5) | 0.06 | 31.2 (6.5) | 31.0 (6.7) | 0.03 |
| SBP, mm Hg | 134.8 (17.9) | 133.0 (17.5) | 0.10 | 134.7 (17.9) | 134.7 (17.9) | 0.00 |
| Hemoglobin A1c, mean (SD), % | 8.0 (1.7) | 7.1 (1.1) | 0.68 | 7.9 (1.5) | 7.9 (1.7) | 0.02 |
| Estimated glomerular filtration rate, mL/min/1.73 m2 | 65.5 (23.8) | 67.0 (24.3) | 0.06 | 65.5 (23.7) | 65.5 (24.0) | 0.00 |
| Any hypoglycemia hospitalizations in prior year, No. (%) | 38 (1.4) | 211 (0.8) | 0.05 | 36 (1.4) | 53 (2.0) | 0.05 |
| Admission diabetes medication count, No. (%) | ||||||
| 0 | 1062 (38.4) | 6311 (24.8) | 0.31 | 974 (36.8) | 988 (37.3) | 0.04 |
| 1 | 1073 (38.8) | 13 113 (51.6) | 1046 (39.5) | 1003 (37.9) | ||
| 2 | 547 (19.8) | 5349 (21.0) | 542 (20.5) | 559 (21.1) | ||
| ≥3 | 86 (3.1) | 657 (2.6) | 86 (3.3) | 98 (3.7) | ||
| Admission diabetes medication classes, No. (%)e | ||||||
| Metformin | 1071 (38.7) | 12 462 (49.0) | 0.21 | 1056 (39.9) | 1038 (39.2) | 0.01 |
| Sulfonylureas | 1127 (40.7) | 11 758 (46.2) | 0.11 | 1108 (41.8) | 1140 (43.1) | 0.02 |
| Thiazolidinediones | 107 (3.9) | 696 (2.7) | 0.06 | 105 (4.0) | 108 (4.1) | 0.01 |
| α-Glucosidase inhibitors | 66 (2.4) | 373 (1.5) | 0.07 | 66 (2.5) | 71 (2.7) | 0.01 |
| Dipeptidyl peptidase 4 inhibitors | 45 (1.6) | 357 (1.4) | 0.02 | 44 (1.7) | 53 (2.0) | 0.03 |
| Other classes | 4 (0.1) | 50 (0.2) | 0.01 | 4 (0.2) | 2 (0.1) | 0.02 |
| Preadmission health care use | ||||||
| Hospitalizations in the year preceding index hospitalization, No. (%) | ||||||
| 0 | 1957 (70.7) | 18 077 (71.1) | 0.02 | 1885 (71.2) | 1887 (71.3) | 0.01 |
| 1 | 480 (17.3) | 4488 (17.6) | 450 (17.0) | 457 (17.3) | ||
| 2 | 186 (6.7) | 1648 (6.5) | 175 (6.6) | 169 (6.4) | ||
| ≥3 | 145 (5.2) | 1217 (4.8) | 138 (5.2) | 135 (5.1) | ||
| Admission medication count, mean (SD) | 7.9 (4.7) | 8.9 (4.9) | 0.22 | 8.0 (4.7) | 8.0 (5.0) | 0.00 |
| Index hospitalization characteristics | ||||||
| Length of stay, mean (SD), d | 6.6 (8.0) | 5.2 (5.8) | 0.20 | 6.5 (8.1) | 6.4 (8.7) | 0.01 |
| Discharge diagnoses, No. (%) | ||||||
| Arrhythmia | 18 (0.7) | 370 (1.5) | 0.18 | 18 (0.7) | 17 (0.6) | 0.08 |
| Asthma | 22 (0.8) | 124 (0.5) | 21 (0.8) | 19 (0.7) | ||
| COPD | 267 (9.6) | 2156 (8.5) | 255 (9.6) | 264 (10.0) | ||
| Chest pain | 82 (3.0) | 940 (3.7) | 80 (3.0) | 72 (2.7) | ||
| Conduction disorders | 212 (7.7) | 2737 (10.8) | 206 (7.8) | 178 (6.7) | ||
| Coronary artery disease | 356 (12.9) | 2794 (11.0) | 341 (12.9) | 356 (13.4) | ||
| Acute coronary syndrome | 172 (6.2) | 1520 (6.0) | 162 (6.1) | 175 (6.6) | ||
| Heart failure | 484 (17.5) | 3854 (15.2) | 464 (17.5) | 482 (18.2) | ||
| Heart valve disorders | 65 (2.3) | 588 (2.3) | 65 (2.5) | 62 (2.3) | ||
| Pneumonia | 275 (9.9) | 2830 (11.1) | 268 (10.1) | 255 (9.6) | ||
| Sepsis | 77 (2.8) | 797 (3.1) | 68 (2.6) | 59 (2.2) | ||
| Skin infection | 246 (8.9) | 2261 (8.9) | 231 (8.7) | 223 (8.4) | ||
| Stroke | 175 (6.3) | 1320 (5.2) | 164 (6.2) | 197 (7.4) | ||
| TIA | 37 (1.3) | 415 (1.6) | 35 (1.3) | 33 (1.2) | ||
| Urinary tract infection | 212 (7.7) | 2139 (8.4) | 205 (7.7) | 199 (7.5) | ||
| Venous thromboembolism | 68 (2.5) | 585 (2.3) | 65 (2.5) | 57 (2.2) | ||
| Hospital blood glucose, mean (SD) | ||||||
| Highest glucose, mg/dL | 310.6 (110.6) | 235.7 (85.3) | 0.76 | 304.0 (105.5) | 306.4 (109.4) | 0.02 |
| Lowest glucose, mg/dL | 107.7 (45.2) | 102.4 (32.3) | 0.13 | 108.0 (44.2) | 107.7 (43.4) | 0.01 |
| No. of hospital glucose recordings, mean (SD) | 57.4 (29.5) | 39.6 (22.8) | 0.68 | 55.8 (28.3) | 56.4 (30.0) | 0.02 |
| Laboratory values at discharge, mean (SD)f | ||||||
| Glucose, mg/dL | 181.8 (71.4) | 156.5 (57.7) | 0.39 | 180.7 (70.3) | 181.0 (68.9) | 0.00 |
| Sodium, mEq/L | 137.6 (3.2) | 138.0 (3.2) | 0.12 | 137.7 (3.2) | 137.6 (3.2) | 0.01 |
| Estimated glomerular filtration rate, mL/min/1.73 m2 | 66.9 (26.3) | 69.6 (26.9) | 0.10 | 67.0 (26.2) | 66.9 (26.9) | 0.00 |
| Comorbidities, No. (%)g | ||||||
| Heart failure | 1059 (38.3) | 9263 (36.4) | 0.04 | 1008 (38.1) | 1019 (38.5) | 0.01 |
| Chronic angina and coronary artery disease | 1457 (52.6) | 13 202 (51.9) | 0.01 | 1393 (52.6) | 1434 (54.2) | 0.03 |
| Acute stroke or TIA | 483 (17.4) | 4173 (16.4) | 0.03 | 454 (17.1) | 494 (18.7) | 0.04 |
| COPD or asthma | 1165 (42.1) | 10 892 (42.8) | 0.02 | 1117 (42.2) | 1108 (41.8) | 0.01 |
| Renal disorders (including renal failure and fluid, electrolyte, and acid-base abnormalities) | 1457 (52.6) | 12 681 (49.9) | 0.06 | 1376 (52.0) | 1344 (50.8) | 0.02 |
| Anemia | 882 (31.9) | 8352 (32.8) | 0.02 | 846 (31.9) | 839 (31.7) | 0.01 |
| Cancer | 544 (19.7) | 5972 (23.5) | 0.09 | 528 (19.9) | 505 (19.1) | 0.02 |
| Liver disease | 230 (8.3) | 2217 (8.7) | 0.01 | 218 (8.2) | 226 (8.5) | 0.01 |
| Cognitive | 299 (10.8) | 2901 (11.4) | 0.02 | 282 (10.6) | 311 (11.7) | 0.03 |
| Substance abuse | 301 (10.9) | 2526 (9.9) | 0.03 | 280 (10.6) | 281 (10.6) | 0.00 |
| Skin ulcer (including decubitus ulcer) | 346 (12.5) | 2582 (10.2) | 0.07 | 321 (12.1) | 322 (12.2) | 0.00 |
Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); COPD, chronic obstructive pulmonary disease; SBP, systolic blood pressure; SMD, standardized mean difference; TIA, transient ischemic attack.
SI conversion factors: To convert glucose to millimoles per liter, multiply by 0.0555; hemoglobin A1c to proportion of total hemoglobin, multiply by 0.01; and sodium to millimoles per liter, multiply by 1.0.
Selected covariates are presented; a full list of covariates included in the propensity score is given in eTable 2 in the Supplement.
No more than 8% of any covariate was missing. Missing data were imputed using the fully conditional specification method and 20 imputation sets. Missing data included the following: BMI (n = 2282), outpatient blood pressure (n = 1594), preadmission estimated glomerular filtration rate (n = 1560), inpatient glucose (n = 2012), discharge hemoglobin (n = 1705), discharge potassium (n = 961), discharge sodium (n = 883), discharge blood urea nitrogen (n = 1337), discharge carbon dioxide (n = 1201), discharge platelets (n = 1235), and discharge estimated glomerular filtration rate (n = 1476).
Balance between the groups was assessed before and after matching by comparing SMDs for each variable for which a difference of less than 0.10 was considered to indicate adequate balance.
Other includes unknown, Asian, North American Native, and unspecified other. This categorization is drawn from Veterans Affairs and Medicare administrative records.
All medications classified using Veterans Affairs drug class coding. Combination medications were split into component parts. Topical, inhaled, otic, and optic medications were excluded.
Laboratory data collected from day of index hospitalization discharge or during index hospitalization up to 2 days before day of discharge.
Comorbidities include both secondary discharge diagnoses from index hospitalization and preadmission diagnoses from the year that preceded the index hospitalization.
The propensity-matched cohort included 5296 older adults with diabetes (mean [SD] age, 73.7 [7.7] years; 5212 [98.4%] male; and 867 [16.4%] Black, 47 [0.9%] Hispanic, 4138 [78.1%] White). A total of 2648 patients who received diabetes medication intensifications were matched to 2648 patients with a similar propensity score who did not receive intensifications (95.7% match rate). Matched groups were well balanced on propensity score distribution and baseline characteristics (standardized mean differences for all covariates, <0.1) (Table 1; eTable 3 and eFigure 2 in the Supplement).
Primary Outcomes
In the propensity score–matched cohort, patients discharged with diabetes medication intensifications were more likely to experience a severe hypoglycemia event within 30 days of discharge than patients discharged without diabetes medication intensifications, although outcomes were rare in both groups (26/2648 [1.0%] vs 12/2648 [0.5%]; hazard ratio [HR], 2.17; 95% CI, 1.10-4.28) (Table 2). There was no difference in risk of severe hyperglycemia at 30 days (HR, 1.00; 95% CI, 0.33-3.08). No differences were found between groups in severe hyperglycemia or severe hypoglycemia at 365 days after discharge.
Table 2. Primary and Secondary Clinical Outcomes Associated With Receiving a Diabetes Medication Intensification at Hospital Discharge.
| Outcome | Patients, No. (%) | HR (95% CI) | |
|---|---|---|---|
| Intensified regimen (n = 2648) | Not intensified regimen (n = 2648) | ||
| Primary outcomes | |||
| Severe hypoglycemia | |||
| 30 d | 26 (1.0) | 12 (0.5) | 2.17 (1.10-4.28) |
| 365 d | 83 (3.1) | 76 (2.9) | 1.10 (0.83-1.45) |
| Severe hyperglycemia | |||
| 30 d | 7 (0.3) | 7 (0.3) | 1.00 (0.33-3.08) |
| 365 d | 34 (1.3) | 35 (1.3) | 0.97 (0.60-1.58) |
| Secondary outcomes | |||
| Mortality | |||
| 30 d | 35 (1.3) | 63 (2.4) | 0.55 (0.33-0.92) |
| 365 d | 417 (15.8) | 470 (17.8) | 0.88 (0.76-1.01) |
| Readmission | |||
| 30 d | 457 (17.3) | 433 (16.4) | 1.06 (0.93-1.20) |
| 365 d | 1380 (52.1) | 1335 (50.4) | 1.05 (0.98-1.13) |
Abbreviation: HR, hazard ratio.
Secondary Outcomes
Patients discharged with diabetes medication intensifications were less likely to die within 30 days of discharge than patients discharged without diabetes medication intensifications (35/2648 [1.3%] vs 63/2648 [2.4%]; HR, 0.55; 95% CI, 0.33-0.92) (Table 2). There was no difference between groups in mortality at 365 days or in all-cause readmissions at 30 or 365 days after discharge.
Changes in HbA1c
Within 1 year of discharge, the mean HbA1c level of patients receiving medication intensifications decreased from 7.91% (95% CI, 7.84%-7.98%) to 7.72% (95% CI, 7.65%-7.79%), and the mean HbA1c level of patients who did not receive intensifications decreased from 7.91% (95% CI, 7.84%-7.97%) to 7.70% (95% CI, 7.68%-7.77%) (Figure 1; eTable 4 in the Supplement). No significant difference was found in the change in HbA1c level between groups (differences-in-differences estimate, 0.02%; 95% CI, −0.12% to 0.16%).
Figure 1. Change in Hemoglobin A1c (HbA1c) Values 1 Year After Discharge With or Without Diabetes Medication Intensifications.
Analysis includes the 4215 patients in the propensity-matched cohort who met the inclusion criteria for the HbA1c analysis (outpatient HbA1c measured between 6 and 18 months after the index hospitalization discharge). Postbaseline HbA1c level was assessed before censoring as the HbA1c level recorded at the closest date to 1 year after index hospitalization discharge, within the range of 6 to 18 months after discharge. Absolute change in HbA1c calculated as postdischarge HbA1c level minus preadmission HbA1c level. Complete difference-in-differences results are given in eTable 4 in the Supplement. The horizontal lines in the center of each box indicate the median; the lower and upper bounds of each box, the 25th and 75th percentiles; the lower and upper error bars, the most extreme value between the 25th percentile minus 1.5 times the interquartile range and the most extreme value between the 75th percentile plus 1.5 times the interquartile range.
Persistent Use of Diabetes Medications
In the unmatched cohort, 18 455 patients (65.4%) filled 1 or more diabetes medication prescriptions at discharge and were included in the analyses of postdischarge persistent use of medication. After discharge, 792 of 2298 diabetes medication intensification prescriptions (34.5%) were never filled again, and 378 of 2298 (16.5%) were filled only once after discharge (Figure 2). At 1 year, 48.0% (591 of 1231) of new oral medications and 38.5% (548 of 1423) of new insulin medications were no longer being filled, compared with 23.6% (4858 of 20 550) of same-dose continuations (P < .001 for test of difference among medication fill types).
Figure 2. Persistent Use of Diabetes Medications Prescribed at Hospital Discharge by Type of Treatment.
Persistence analysis includes 18 455 patients who filled 1 or more diabetes medication prescriptions at discharge. A total of 24 085 unique medication prescriptions were included because patients could fill multiple diabetes medication prescriptions at discharge. For each unique medication prescribed at discharge, we calculated persistence as the number of days between the discharge prescription and the last refill for the same or greater dose plus the days supplied by the latest refill. If a patient died during the follow-up period, persistence was truncated at date of death. We reported persistence to 12 months after discharge by type of treatment, and to avoid undercounting because of transient nonadherence, we assessed refill history for 18 months.
Prehospitalization Baseline Hemoglobin A1c Subgroup Analyses
Propensity score matching yielded a cohort of 2672 patients with controlled preadmission HbA1c levels (≤7.5%) and a cohort of 2524 patients with elevated preadmission HbA1c levels (>7.5%), each equally split between those who received intensifications and those who did not. Covariate balance between groups in each cohort was excellent except for differences in the regional distribution of patients (eTables 5 and 6 and eFigure 3 in the Supplement).
Among matched patients with controlled baseline HbA1c levels, the mean (SD) prehospitalization HbA1c level was 6.8% (0.5%) for the intensified and not intensified groups. No differences were found in severe hypoglycemia events, severe hyperglycemia events, or secondary clinical outcomes among patients with controlled baseline HbA1c levels who were discharged with or without diabetes medication intensifications (Table 3; eTable 7 in the Supplement).
Table 3. Primary Clinical Outcomes Associated With Receiving Diabetes Medication Intensifications at Hospital Discharge in Subgroups With Controlled and Elevated Prehospitalization Hemoglobin A1c Levels.
| Primary outcome | Controlled (hemoglobin A1c ≤7.5%) | Elevated (hemoglobin A1c >7.5%) | ||||
|---|---|---|---|---|---|---|
| Patients, No. (%) | HR (95% CI) | Patients, No. (%) | HR (95% CI) | |||
| Intensified (n = 1336) | Not intensified (n = 1336) | Intensified (n = 1262) | Not intensified (n = 1262) | |||
| Severe hypoglycemia | ||||||
| 30 d | 13 (1.0) | 11 (0.8) | 1.18 (0.55-2.53) | 11 (0.9) | 8 (0.6) | 1.38 (0.51-3.76) |
| 365 d | 41 (3.1) | 39 (2.9) | 1.05 (0.67-1.64) | 39 (3.1) | 37 (2.9) | 1.06 (0.63-1.78) |
| Severe hyperglycemia | ||||||
| 30 d | 4 (0.3) | 3 (0.2) | 1.34 (0.30-6.00) | 4 (0.3) | 7 (0.6) | 0.57 (0.19-1.72) |
| 365 d | 13 (1.0) | 7 (0.5) | 1.86 (0.74-4.70) | 21 (1.7) | 27 (2.1) | 0.77 (0.44-1.37) |
Abbreviation: HR, hazard ratio.
Among matched patients with elevated baseline HbA1c levels, the mean (SD) prehospitalization HbA1c level was 9.1% (1.5%) for the intensified group and 9.1% (1.6%) for the not intensified group. No differences were found in severe hypoglycemia or hyperglycemia events among patients with elevated baseline HbA1c levels who were discharged with or without diabetes medication intensifications (Table 3). Patients who received intensifications were less likely to die within 30 days (HR, 0.46; 95% CI, 0.24-0.91) and 365 days (HR, 0.75; 95% CI, 0.62-0.89) (eTable 7 in the Supplement). Receipt of an intensification was not associated with a significant difference in change in HbA1c level for either subgroup (eTable 8 in the Supplement).
Discussion
In this cohort study of older adults with diabetes who were hospitalized for common medical conditions, intensification of diabetes medications at hospital discharge was associated with increased short-term risk of severe hypoglycemia events without reduction in risk of severe hyperglycemia events or improvement in HbA1c control at 1 year. Moreover, nearly half of discharge intensifications were not continued at 1 year. Despite the lack of association with improved diabetes control, older adults receiving diabetes medication intensifications at discharge had a lower risk of mortality at 30 days but no difference in mortality at 1 year. These results suggest intensification of older adults’ outpatient diabetes medications during unrelated hospitalizations should generally be avoided.
To our knowledge, no randomized clinical trials to date have evaluated the outcomes of intensifying diabetes medications at hospital discharge. Thus, our findings provide important data to inpatient clinicians considering discharge changes to home diabetes medications. Two prior observational studies6,39 examined outcomes of patients discharged with diabetes medication intensifications. A single-center study39 conducted from 2007 to 2009 found no overall difference in 30-day readmissions among adults receiving intensifications but did not examine hypoglycemia or hyperglycemia events and was unable to examine readmissions to other hospitals. A cohort study6 of older adults with diabetes hospitalized in Ontario, Canada, between 2004 and 2013 found that discharge with new insulin was associated with an increased risk of death and readmissions compared with using oral diabetes medications. This study differed from our analysis by including patients hospitalized for diabetes and surgical conditions as well as medical hospitalizations. This study also lacked key covariates, including vital signs and laboratory values, such as HbA1c, which may confound the association between discharge intensification and discharge outcomes.6 Our study builds on these prior studies6,39 by examining postdischarge outcomes in the VHA, a large, national, integrated health system, which allows for the inclusion of richer clinical characteristics and complete identification of postdischarge events that occur inside and outside the VHA. In addition, we examined a more recent period than prior studies6,39; thus, differences in findings may in part reflect differences in diabetes medication classes.
In a secondary analysis, we observed that older adults receiving diabetes intensifications had a substantially lower risk of death in the first 30 days of discharge. This unexpected finding was consistent in elevated but not controlled HbA1c subgroups and merits further examination in future studies. This finding contrasts with the Canadian study,6 which found that discharge with new insulin was associated with an increased risk of death, and a prior trial40 of intensive inpatient blood glucose control among critically ill patients, which found more intensive blood glucose control was associated with higher 90-day mortality. We anticipate this finding may be attributable to unmeasured cofounding because we did not observe a concomitant lower risk of readmissions or serious hyperglycemia events. Randomized clinical trials of intensive diabetes treatment have not clearly established a mortality benefit and have typically studied younger and healthier populations.30 Furthermore, time to benefit from intensive diabetes treatment is typically measured in years41; thus, it is unlikely that a large mortality benefit is the result of a short-term decision about chronic disease treatment. Instead, clinicians may be appropriately identifying certain patients at high short-term risk of death and choosing not to intensify their diabetes medication regimens based on factors not captured by our propensity score. Although we were able to include markers of comorbidity, frailty, vital signs, laboratory values, and medications in the propensity score and excluded patients discharged to hospice or skilled nursing facilities, identifying comorbidities based on diagnosis coding does not account for differences in disease severity (eg, well-controlled vs end-stage heart failure) or functional status. Some patients may have been offered hospice or skilled nursing facility care and declined these services. Of importance, because our primary survival analyses models accounted for competing risks of death, this unanticipated finding should not bias the primary outcomes.
Most older adults discharged with intensified diabetes medications in this study received new insulin or sulfonylureas, which carry a higher risk of hypoglycemia than other diabetes medication classes. Novel classes, such as SGLT2 inhibitors and GLP-1 agonists, may have different benefit-harm profiles owing to lower hypoglycemia risks and strong cardioprotective benefits; thus, our study findings, which examined a period before the widespread use of these new classes, do not extend to these classes. Dedicated studies on the real-world outcomes of initiation of use of SGLT2 inhibitors and GLP-1 agonists among hospitalized older adults are crucial before recommending their routine use in this clinical setting because the clinical trials participants in which these classes have been studied are likely to be younger and healthier than hospitalized populations and thus the safety profile and benefits of these classes may differ in the acutely ill population. As the current study and a prior study30 of antihypertensives intensifications suggest, medications intensified at hospital discharge are frequently discontinued, thus exposing patients to short-term risks without a chance for long-term benefits.
How then should inpatient clinicians manage older adults’ diabetes medications at hospital discharge? For most older adults with well-controlled or modestly elevated HbA1c levels, deferring decisions to intensify treatment to outpatient clinicians is likely the safest course because this practice avoids the tendency to treat elevated inpatient blood glucose values, which are typically transitory, with a change to long-term therapy that may result in increased risk of severe hypoglycemia. Older adults with uncontrolled diabetes warrant close follow up with their outpatient clinicians, but in most cases treatment intensifications may still be deferred because, as our study suggests, readmission for hyperglycemia is rare, occurring in less than 0.5% of cohort patients with elevated baseline HbA1c levels. Adverse drug events are typically highest in the initial weeks of treatment, and this risk is likely to be multiplied in the postdischarge period, during which older adults are typically exposed to multiple medication changes and hospital-associated disability.20,21,42 Additional research is needed to determine best management practices for older adults with diabetes whose primary reason for hospitalization requires short-term treatment with medications known to greatly increase blood glucose levels, which will be continued to the outpatient setting (eg, corticosteroids for respiratory or autoimmune disease flairs) because these patients may benefit from short-term monitored intensifications.
Limitations
Our study has several limitations. First, it took place in the VHA health care system, a national integrated system that serves a predominately male population with greater multimorbidity that may not be generalizable to the entire US. Second, because we focused on older adults who are at higher risk of adverse drug events, our findings are not generalizable to younger populations. Third, although our study was strengthened by examining both VHA and Medicare data, we were not able to identify hyperglycemia and hypoglycemia events for which patients did not seek emergency care; thus, these events are likely underestimated.43 Fourth, because of limitations of pharmacy data, we were unable to examine the impact of changes in insulin dosing and thus did not examine patients taking insulin before hospitalization. Pharmacy claims do not allow for the identification of discontinued medications; thus, medication classes started as substitutions for other classes were included in the study as intensifications. Fifth, as an observational study, there is a risk of unmeasured confounding by variables not included in the propensity score–matched analyses. Sixth, subgroup analyses were exploratory and may have been underpowered to demonstrate differential associations of diabetes medication intensification across baseline HbA1c levels.
Conclusions
Among older adults hospitalized for common medical conditions, discharge with intensified diabetes medications was not associated with reduced severe hyperglycemia events or HbA1c levels within 1 year but was associated with an increased risk of severe hypoglycemia events within 30 days. For most patients with elevated inpatient blood glucose levels, communication of concerns about patients’ diabetes control to patients and their outpatient clinicians for close follow-up may provide a safer path than intensifying diabetes medications at discharge.
eTable 1. Detailed Outcome Definitions
eTable 2. Diabetes Medication Intensifications at Hospital Discharge
eTable 3. Complete Cohort Characteristics Before and After Propensity Score Matching
eTable 4. Difference in Differences Analysis of Hemoglobin A1c Values One Year Following Discharge With or Without Diabetes Medication Intensifications
eTable 5. Baseline Characteristics Before and After Propensity Score Matching, Controlled Baseline HbA1c Subgroup
eTable 6. Baseline Characteristics Before and After Propensity Score Matching, Elevated Baseline HbA1c Subgroup
eTable 7. Secondary Clinical Outcomes Associated With Receiving Diabetes Medication Intensifications at Hospital Discharge in Subgroups With Controlled and Elevated Prehospitalization Hemoglobin A1c Subgroups
eTable 8. Difference in Differences Analysis of Hemoglobin A1c Values One Year Following Discharge With or Without Diabetes Medication Intensifications in Controlled and Elevated Baseline HbA1c Subgroups
eFigure 1. Flow Diagram of Underlying Study Population
eFigure 2. Propensity Score Distributions Before and After Matching
eFigure 3. Propensity Score Distributions Before and After Matching in Controlled and Elevated Baseline HbA1c Subgroups
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
eTable 1. Detailed Outcome Definitions
eTable 2. Diabetes Medication Intensifications at Hospital Discharge
eTable 3. Complete Cohort Characteristics Before and After Propensity Score Matching
eTable 4. Difference in Differences Analysis of Hemoglobin A1c Values One Year Following Discharge With or Without Diabetes Medication Intensifications
eTable 5. Baseline Characteristics Before and After Propensity Score Matching, Controlled Baseline HbA1c Subgroup
eTable 6. Baseline Characteristics Before and After Propensity Score Matching, Elevated Baseline HbA1c Subgroup
eTable 7. Secondary Clinical Outcomes Associated With Receiving Diabetes Medication Intensifications at Hospital Discharge in Subgroups With Controlled and Elevated Prehospitalization Hemoglobin A1c Subgroups
eTable 8. Difference in Differences Analysis of Hemoglobin A1c Values One Year Following Discharge With or Without Diabetes Medication Intensifications in Controlled and Elevated Baseline HbA1c Subgroups
eFigure 1. Flow Diagram of Underlying Study Population
eFigure 2. Propensity Score Distributions Before and After Matching
eFigure 3. Propensity Score Distributions Before and After Matching in Controlled and Elevated Baseline HbA1c Subgroups