Literature DB >> 33502076

Comparable COVID-19 outcomes with current use of GLP-1 receptor agonists, DPP-4 inhibitors or SGLT-2 inhibitors among patients with diabetes who tested positive for SARS-CoV-2.

Simone Bastrup Israelsen1,2, Anton Pottegård3, Håkon Sandholdt1, Sten Madsbad2,4, Reimar Wernich Thomsen5, Thomas Benfield1,2.   

Abstract

Incretin-based therapies, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and dipeptidyl peptidase-4 inhibitors (DPP-4i), have been hypothesized to exert beneficial effects on COVID-19 outcomes due to anti-inflammatory properties. In this population-based cohort study, we retrieved data from nationwide registries on all individuals diagnosed with severe acute respiratory syndrome coronavirus 2 infection up to 1 November 2020. For individuals with diabetes, we examined the impact of use of GLP-1 RAs (n = 370) and DPP-4i (n = 284) compared with sodium-glucose cotransporter-2 inhibitors (SGLT-2i) (n = 342) on risk of hospital admission and severe outcomes. Relative risks (RRs) were calculated after applying propensity score weighted methods to control for confounding. Current users of GLP-1 RAs had an adjusted RR of 0.89 (95% confidence interval 0.34-2.33), while users of DPP-4i had an adjusted RR of 2.42 (95% confidence interval 0.99-5.89) for 30-day mortality compared with SGLT-2i use. Further, use of GLP-1 RAs or DPP-4i compared with SGLT-2i was not associated with decreased risk of hospital admission. Thus, use of incretin-based therapies in individuals with diabetes and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was not associated with improved clinical outcomes.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  DPP-4 inhibitor; GLP-1 analogue; SGLT-2 inhibitor; antidiabetic drug; population study

Mesh:

Substances:

Year:  2021        PMID: 33502076      PMCID: PMC8014019          DOI: 10.1111/dom.14329

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.408


INTRODUCTION

Diabetes is associated with up to two‐fold increased risk of mortality for individuals with coronavirus disease 2019 (COVID‐19). , Recent recommendations advise discontinuation of metformin and sodium‐glucose cotransporter‐2 inhibitors (SGLT‐2i) in severe cases due to a risk of lactic acidosis or ketoacidosis and dehydration. Meanwhile, glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) and dipeptidyl peptidase‐4 inhibitors (DPP‐4i) are hypothesized to have a beneficial anti‐inflammatory effect on COVID‐19 mediated by cytokine inhibition. Sitagliptin, the first approved agent of DPP‐4i, has been associated with reduced mortality in patients with COVID‐19 and with type 2 diabetes when administered at hospital admission. However, most previous studies were restricted to hospitals and selected populations, and population‐based evidence of an impact of current use of novel glucose‐lowering drugs (GLDs) on COVID‐19 outcomes is limited.

METHODS

Data were retrieved from nationwide registries throughout Denmark on all individuals diagnosed with severe acute respiratory syndrome coronavirus 2 infection (SARS‐CoV‐2; using the reverse transcriptase‐polymerase chain reaction test) up to 1 November 2020. The current use of GLP‐1 RA, DPP‐4i or SGLT‐2i was defined as redeemed prescriptions within 90 days before testing positive for SARS‐CoV‐2. The primary outcome was death within 30 days after a positive SARS‐CoV‐2 test, while secondary outcomes included hospital admission, intensive care unit (ICU) admission and mechanical ventilation. Patients were followed from the date of positive test for SARS‐CoV‐2 until death, migration or end of follow‐up (30 days). We compared rates of outcomes in users of GLP‐1 RA or DPP‐4i with those among users of SGLT‐2i. Individuals receiving combinations of these drugs and individuals with less than 1 year of available data were excluded from the analyses. SGLT‐2is were chosen as active comparators as they are generally used for similar medical indications, that is, second‐ or third‐line GLD. Furthermore, GLP‐1 RA and SGLT‐2i users in Denmark have previously been shown to be comparable regarding age, duration of diabetes and GLD therapy, prevalence of diabetic complications and comorbidities. Both drug groups can induce a weight loss, although this is more pronounced for GLP‐1 RA. Finally, DDP‐4i users are expected to be slightly older and experience more comorbidities compared with GLP‐1 RA and SGLT‐2i users. An individual propensity score of drug exposure was computed by using logistic regression based on age, sex, markers of diabetes severity, comorbidities and use of cardiovascular medication (Table 1). Propensity scores were used to calculate stabilized inverse probability of treatment weights, which were applied to account for differences in patient characteristics between treatment groups, that is, to control for confounding.
TABLE 1

Patient characteristics before and after inverse probability of treatment weighting

GLP‐1 RASGLT‐2iSMDwGLP‐1 RAwSGLT‐2iwSMDDPP‐4iSGLT‐2iSMDwDPP‐4iwSGLT‐2i
(n = 370)(n = 246)(n = 373)(n = 243)(n = 284)(n = 274)(n = 291)(n = 266)wSMD
Age, median (IQR)59 (51‐70)59 (52‐68)0.0260 (52‐69)59 (52‐68)0.0067 (57‐76)58 (52‐68)0.5763 (53‐74)62 (53‐71)0.08
Sex (male)196 (53.0)152 (61.8)0.18209 (55.9)138 (56.8)0.02173 (60.9)165 (60.2)0.01172 (59.0)160 (60.2)0.03
Other diabetes treatment
Metformin218 (58.9)190 (77.2)0.40249 (66.8)163 (67.2)0.01215 (75.7)212 (77.4)0.04219 (75.2)208 (78.0)0.07
Insulin141 (38.1)43 (17.5)0.47113 (30.4)72 (29.5)0.0240 (14.1)77 (28.1)0.3564 (22.0)58 (21.7)0.01
Sulfonylureas11 (3.0)17 (6.9)0.1820 (5.3)11 (4.6)0.0327 (9.5)15 (5.5)0.1519 (6.6)17 (6.2)0.02
Diabetes markers
Duration, median (IQR), years a 10 (5‐15)8 (4‐13)0.1610 (5‐15)10 (5‐15)0.0210 (6‐14)10 (5‐14)0.1010 (6‐15)10 (6‐15)0.02
Microvascular complications b 112 (30.3)41 (16.7)0.3395 (25.4)59 (24.2)0.0365 (22.9)60 (21.9)0.0269 (23.6)60 (22.4)0.03
Macrovascular complications b 97 (26.2)62 (25.2)0.0298 (26.2)64 (26.4)0.0192 (32.4)76 (27.7)0.1092 (31.5)80 (29.9)0.04
Charlson's Comorbidity Index
0278 (75.1)199 (80.9)0.14288 (77.2)193 (79.3)0.05203 (71.5)220 (80.3)0.21222 (76.5)203 (76.1)0.01
1‐269 (18.6)36 (14.6)0.1160 (16.1)39 (16.1)0.0056 (19.7)41 (15.0)0.1351 (17.5)45 (17.0)0.01
≥323 (6.2)11 (4.5)0.0825 (6.6)11 (4.7)0.1125 (8.8)13 (4.7)0.1618 (6.1)18 (6.9)0.04
Diagnoses b
Myocardial infarction7 (1.9)11 (4.5)0.1512 (3.3)7 (3.1)0.0115 (5.3)11 (4.0)0.0615 (5.2)15 (5.8)0.02
Heart failure24 (6.5)11 (4.5)0.0920 (5.3)13 (5.2)0.0118 (6.3)16 (5.8)0.0214 (4.8)15 (5.6)0.04
Obesity108 (29.2)38 (15.4)0.3388 (23.5)55 (22.4)0.0335 (12.3)62 (22.6)0.2751 (17.7)47 (17.7)0.00
Medication c
Antihypertensives208 (56.2)122 (49.6)0.13194 (51.9)133 (54.8)0.06175 (61.6)145 (52.9)0.18166 (57.0)150 (56.3)0.01
Statins185 (50.0)124 (50.4)0.01186 (49.7)123 (50.5)0.02151 (53.2)149 (54.4)0.02150 (51.7)141 (52.9)0.02
Antiplatelets117 (31.6)59 (24.0)0.17102 (27.3)65 (26.6)0.0294 (33.1)79 (28.8)0.0979 (27.3)76 (28.7)0.03

Abbreviations: DPP‐4i, dipeptidyl peptidase‐4 inhibitor; GLP‐1 RA, glucagon‐like peptide‐1 receptor agonist; IQR, interquartile ranges; SGLT‐2i, sodium‐glucose cotransporter‐2 inhibitor; SMD, standardized mean differences; w, weighted.

Years since first redeemed glucose‐lowering drug prescription (registered since 2005).

Complications or diagnoses within 10 years before inclusion.

Use within 90 days before inclusion.

Patient characteristics before and after inverse probability of treatment weighting Abbreviations: DPP‐4i, dipeptidyl peptidase‐4 inhibitor; GLP‐1 RA, glucagon‐like peptide‐1 receptor agonist; IQR, interquartile ranges; SGLT‐2i, sodium‐glucose cotransporter‐2 inhibitor; SMD, standardized mean differences; w, weighted. Years since first redeemed glucose‐lowering drug prescription (registered since 2005). Complications or diagnoses within 10 years before inclusion. Use within 90 days before inclusion. Descriptive statistics are reported as median with interquartile range for continuous variables or number with percentages for categorical variables. Baseline characteristics are presented for the unweighted and weighted patient cohort for both comparisons (GLP‐1 RA vs. SGLT‐2i and DPP‐4i vs. SGLT‐2i). The differences in risk factors between treatment groups were quantified by standardized mean differences. Relative risks were calculated by log binomial regression and presented as both crude (unweighted) and adjusted (weighted) estimates with 95% confidence intervals (CI).

RESULTS

In total, 49 332 cases with SARS‐CoV‐2 infection were identified between 27 February and 1 November 2020. Of these, 1970 were current users of any GLDs, including 370 GLP‐1 RA, 284 DPP‐4i and 342 SGLT‐2i users. Patients receiving both GLP‐1 RA and SGLT‐2i (n = 96) or both DPP‐4i and SGLT‐2i (n = 68) were excluded from the analyses. Individuals with <1 year of baseline data (n = 886) due to recent migration were excluded as well. DPP‐4i use was associated with older age (median 67 compared with 59 years for GLP‐1 RA and SGLT‐2i use) and higher Charlson's Comorbidity Index (CCI) scores (CCI ≥3: 9% vs. 6% and 5% in users of GLP‐1 RA and SGLT‐2i, respectively) (Table 1). In the GLP‐1 RA and DPP‐4i versus SGLT‐2i analyses, 2.11% and 2.33% of the weights were >3, with 5‐95% percentiles at 0.47‐1.89 and 0.54‐1.91, respectively. No weights were >10 after stabilization. In weighted analyses, GLP‐1 RA users had similar 30‐day mortality to SGLT‐2i users (3.3% vs. 3.7%) that both were lower than for DPP‐4i users (8.6%) corresponding to an adjusted and weighted relative risk (RR) of 0.89 (95% CI 0.34‐2.33) for GLP‐1 RA and an adjusted and weighted RR of 2.42 (95% CI 0.99‐5.89) for DPP‐4i compared with SGLT‐2i users, respectively (Table 2). Risks of hospital admission, ICU admission and mechanical ventilation were overall similar in GLP‐1 RA and DPP‐4i users compared with SGLT‐2i users (Table 2). Risks of hospital admission and mechanical ventilation were increased across all treatment groups with adjusted RRs between 1.22 and 2.22, while adjusted RR for ICU admission was close to 1.0 for GLP‐1 RA users and 1.30 for DPP‐4i users (Table 2). However, all these estimates had low statistical precision (Table 2).
TABLE 2

Outcomes of SARS‐CoV‐2 infection in users of GLP‐1 RA and DPP‐4i compared with users of SGLT‐2i before and after inverse probability of treatment weighting

GLP‐1 RASGLT‐2iGLP‐1 RA vs. SGLT‐2iDPP‐4iSGLT‐2iDPP‐4i vs. SGLT‐2i
OutcomeEventsRisk (%)EventsRisk (%)Relative riskEventsRisk (%)EventsRisk (%)Relative risk
Crude estimates
30‐day death14/3703.8 (1.8‐5.7)9/2463.7 (1.3‐6.0)1.03 (0.45‐2.35)30/28410.6 (7.0‐14.1)7/2742.6 (0.7‐4.4)4.13 (1.85‐9.26)
ICU admission12/3703.2 (1.4‐5.1)9/2463.7 (1.3‐6.0)0.89 (0.38‐2.07)16/2825.7 (3.0‐8.4)9/2743.3 (1.2‐5.4)1.73 (0.78‐3.85)
Mechanical ventilation10/3702.7 (1.0‐4.4)7/2462.8 (0.8‐4.9)0.95 (0.37‐2.46)15/2845.3 (2.7‐7.9)6/2742.2 (0.5‐3.9)2.41 (0.95‐6.13)
Hospital admission94/36226.0 (21.4‐30.5)54/24322.2 (17.0‐27.5)1.17 (0.87‐1.57)85/27630.8 (25.3‐36.3)55/27320.1 (15.4‐24.9)1.53 (1.14‐2.05)
Adjusted estimates a
30‐day death12/3733.3 (1.4‐5.2)9/2433.7 (0.8‐6.5)0.89 (0.34‐2.33)25/2918.6 (4.9‐12.3)9/2663.6 (0.8‐6.4)2.42 (0.99‐5.89)
ICU admission10/3732.7 (1.2‐4.3)8/2433.2 (0.8‐5.5)0.87 (0.34‐2.21)12/2904.1 (2.1‐6.2)8/2663.2 (0.9‐5.5)1.30 (0.54‐3.12)
Mechanical ventilation13/3733.5 (0.3‐6.8)5/2432.1 (0.3‐3.9)1.65 (0.47‐5.76)14/2914.8 (1.9‐7.7)6/2662.2 (0.3‐4.1)2.22 (0.77‐6.46)
Hospital admission102/36727.9 (21.7‐34.1)54/24122.4 (16.0‐28.8)1.25 (0.87‐1.79)74/28526.1 (20.0‐32.2)57/26521.5 (16.0‐27.0)1.22 (0.86‐1.72)

Abbreviations: DPP‐4i, dipeptidyl peptidase‐4 inhibitor; GLP‐1 RA, glucagon‐like peptide‐1 receptor agonist; ICU, intensive care unit; SGLT‐2i, sodium‐glucose cotransporter‐2 inhibitor.

Adjusted estimates obtained in an inverse probability of treatment weighted pseudo‐population using stabilized weights. Factors included in the propensity score informing the weights were age, sex, duration of glucose‐lowering drug (GLD) treatment, concomitant use of other GLDs (metformin, insulin, sulfonylureas), diabetic complications, medical obesity, myocardial infarction, chronic heart failure, chronic obstructive pulmonary disease, Charlson's Comorbidity Index without diabetes mellitus (0, 1‐2, ≥3), and cardiovascular medications (antihypertensives, statins, antiplatelets).

Outcomes of SARS‐CoV‐2 infection in users of GLP‐1 RA and DPP‐4i compared with users of SGLT‐2i before and after inverse probability of treatment weighting Abbreviations: DPP‐4i, dipeptidyl peptidase‐4 inhibitor; GLP‐1 RA, glucagon‐like peptide‐1 receptor agonist; ICU, intensive care unit; SGLT‐2i, sodium‐glucose cotransporter‐2 inhibitor. Adjusted estimates obtained in an inverse probability of treatment weighted pseudo‐population using stabilized weights. Factors included in the propensity score informing the weights were age, sex, duration of glucose‐lowering drug (GLD) treatment, concomitant use of other GLDs (metformin, insulin, sulfonylureas), diabetic complications, medical obesity, myocardial infarction, chronic heart failure, chronic obstructive pulmonary disease, Charlson's Comorbidity Index without diabetes mellitus (0, 1‐2, ≥3), and cardiovascular medications (antihypertensives, statins, antiplatelets).

DISCUSSION

Use of GLP‐1 RA or DPP‐4i was not associated with improved outcomes compared with SGLT‐2i use in individuals infected with SARS‐CoV‐2. However, DPP‐4i users had a more than a two‐fold increased 30‐day mortality compared with SGLT‐2i users, although this result had low statistical precision. These findings do not support a preventive or attenuation effect of current use of DPP‐4i or GLP‐1 RA in patients with diabetes and SARS‐CoV‐2 infection including those admitted with COVID‐19. Indeed, they contradict the recent findings by Solerte et al. concluding that treatment with sitagliptin at hospital admission is associated with reduced mortality in COVID‐19 patients with diabetes. However, several aspects may limit the comparability of the studies. Our study differs in that less than 30% of individuals were hospitalized and in the timing of treatment, that is, individuals included in our study were users of DPP‐4i before being infected with SARS‐CoV‐2. Owing to the retrospective design of both studies, the results are not definitive and require confirmation in a randomized controlled trial. Although we adjusted for diabetes severity markers, comorbidities and cardiovascular comedications, our results could still have been influenced by residual confounding from unmeasured or unknown factors driven by more comorbidities and less obesity in DPP‐4i compared with SGLT‐2i users. Finally, the generalizability of our study results may depend on the availability of novel GLD combination therapies and high‐quality diabetes care in health care systems that may be overwhelmed by workload due to steep infection curves. Overall, our findings that incretin‐based therapies (GLP‐1 RA and DDP‐4i) in individuals with diabetes and COVID‐19 were not associated with improved outcomes are consistent with previous reports on use of GLD before a diagnosis of SARS‐CoV‐2 infection. , The CORONADO study included 1317 patients with diabetes and did not find an association between type of GLD use and mechanical ventilation or death. Dalan et al. found an increased risk of ICU admission among 27 patients with diabetes and concomitant use of DDP‐4i, within a cohort of 717 patients hospitalized with SARS‐CoV‐2 infection, but did not include data on mortality. Other studies have reported a worse prognosis of insulin‐treated versus non‐insulin‐treated patients with diabetes and COVID‐19, but it is unclear whether this reflects insulin effects per se or the presence of more advanced or poorly controlled diabetes with additional comorbidity that is associated with both insulin use and more severe COVID‐19. ,

CONCLUSION

In conclusion, neither current use of GLP‐1 RA nor DPP‐4i was associated with improved outcomes of individuals with diabetes infected with SARS‐CoV‐2 when compared with SGLT‐2i use. Use of DPP‐4i before infection with SARS‐CoV‐2 might even have a harmful effect, in contrast to the current anti‐inflammation hypotheses and the possible association of sitagliptin treatment at hospital admission with reduced mortality. However, our study results should be interpreted cautiously due to the limited sample size.

CONFLICT OF INTEREST

T.B. reports grants from Pfizer, Novo Nordisk Foundation, Simonsen Foundation, Lundbeck Foundation and Kai Hansen Foundation, grants and personal fees from GSK, Pfizer and Gilead, and personal fees from Boehringer Ingelheim and MSD, with no relation to the work reported in this paper. A.P. reports grants from Alcon, Almirall, Astellas, Astra‐Zeneca, Boehringer‐Ingelheim, Novo Nordisk, Servier and LEO Pharma, with no relation to the work reported in this paper. R.W.T. reports that the Department of Clinical Epidemiology is involved in studies with funding from various companies as research grants to and administered by Aarhus University. None of these studies have relation to the present study. S.M. reports grants and personal fees from Novo Nordisk A/S and Boehringer‐Ingelheim, and personal fees from MSD and Sanofi, with no relation to the work reported in this paper. S.B.I. and H.S. report no conflicts of interest.

PEER REVIEW

The peer review history for this article is available at https://publons.com/publon/10.1111/dom.14329.
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4.  Comparable COVID-19 outcomes with current use of GLP-1 receptor agonists, DPP-4 inhibitors or SGLT-2 inhibitors among patients with diabetes who tested positive for SARS-CoV-2.

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