Edited by: Hans Ulrich Häring, Tübingen University Hospital, Germany
Reviewed by: Abdurezak Ahmed Abdela, Addis Ababa University, Ethiopia; Mohd Ashraf Ganie, Sher-I-Kashmir Institute of Medical Sciences, India
*Correspondence: Anath Shalev,
This article was submitted to Clinical Diabetes, a section of the journal Frontiers in Endocrinology
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Coronavirus disease-2019 (COVID-19) is a growing pandemic with an increasing death toll that has been linked to various comorbidities as well as racial disparity. However, the specific characteristics of these at-risk populations are still not known and approaches to lower mortality are lacking.
We conducted a retrospective electronic health record data analysis of 25,326 subjects tested for COVID-19 between 2/25/20 and 6/22/20 at the University of Alabama at Birmingham Hospital, a tertiary health care center in the racially diverse Southern U.S. The primary outcome was mortality in COVID-19-positive subjects and the association with subject characteristics and comorbidities was analyzed using simple and multiple linear logistic regression.
The odds ratio of contracting COVID-19 was disproportionately high in Blacks/African-Americans (OR 2.6; 95% CI 2.19–3.10; p<0.0001) and in subjects with obesity (OR 1.93; 95% CI 1.64–2.28; p<0.0001), hypertension (OR 2.46; 95% CI 2.07–2.93; p<0.0001), and diabetes (OR 2.11; 95% CI 1.78–2.48; p<0.0001). Diabetes was also associated with a dramatic increase in mortality (OR 3.62; 95% CI 2.11–6.2; p<0.0001) and emerged as an independent risk factor in this diverse population even after correcting for age, race, sex, obesity, and hypertension. Interestingly, we found that metformin treatment prior to diagnosis of COVID-19 was independently associated with a significant reduction in mortality in subjects with diabetes and COVID-19 (OR 0.33; 95% CI 0.13–0.84; p=0.0210).
Thus, these results suggest that while diabetes is an independent risk factor for COVID-19-related mortality, this risk is dramatically reduced in subjects taking metformin prior to diagnosis of COVID-19, raising the possibility that metformin may provide a protective approach in this high risk population.
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Coronavirus disease-2019 (COVID-19) caused by the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) is a growing global pandemic that has devastated Asia, Europe, and now the United States. Its increasing death toll has been linked to higher age and a number of comorbidities including hypertension, obesity, and diabetes (
However, currently still very little is known about patient characteristics in the U.S., particularly in more diverse communities with a large proportion of Blacks/African-Americans such as in the South. This information is especially relevant as African-Americans have been disproportionally affected by this pandemic across the nation (
We conducted a retrospective analysis of de-identified electronic health record data (EHR). The sampling method consisted of including subjects consecutively tested for COVID-19 between February 25, 2020 and June 22, 2020 at UAB (Institutional Review Board protocol E160105006). To make the results as generalizable as possible and minimize any selection bias, completed testing within that time frame was also the only inclusion criteria and lack of outcome data in terms of survival was the only exclusion criteria. Subjects were categorized as confirmed COVID-19 positive or negative based on RT-PCR results from SARS-CoV-2 viral nucleic acid testing in respiratory specimens. The primary outcome was mortality and the effects of patient characteristics and comorbidities as documented in the EHR data (including 12 months before COVID-19 diagnosis) were analyzed. EHR data definitions for obesity included a body mass index (BMI) of ≥30 kg/m2 and for hypertension a systolic blood pressure of ≥140 mmHg and/or a diastolic blood pressure of ≥90 mmHg. HbA1C was analyzed as a continuous variable. In terms of treatment, we focused on metformin and insulin as they were the two most common used drugs for diabetes and reliable electronic health record data were available. The number of subjects on other antidiabetic medications such as sodium-glucose cotransporter 2 (SGLT2) inhibitors or dipeptidyl peptidase IV (DPPIV) inhibitors was too small to allow for meaningful statistical analysis. This may have been due to the much higher costs of these newer medications and our cohort that included underserved communities.
Patient characteristics and comorbidities were summarized as mean and standard deviation (SD) for continuous variables and frequency and proportion for categorical variables. In analysis, age was categorized into three groups: <50, 50–70, and >70 years old. The association with COVID-19 diagnosis was explored utilizing a simple linear logistic regression for each of the potential risk factors and the raw odds ratio (OR) and the 95% confidence interval (95% CI) were calculated for the strength of association. The associations with COVID-19 mortality for the potential risk factors were explored with both simple linear logistic regression for raw ORs and multiple linear logistic regression for adjusted ORs. Potential interactions were evaluated and removed from the multiple logistic regression model if not significant. The sample size of this study was determined by the available and eligible cases from EHR between February 25, 2020 and June 22, 2020 at UAB, including 24,722 COVID-19 negative and 604 COVID-19 positive subjects. This large sample size achieved >80% power to detect even a very small effect (e.g., OR=1.25) in the association of potential risk factors and contracting COVID-19. Among COVID-19 positive subjects 67 were identified as deceased during the study period and this sample size achieved >80% power to detect a medium effect size (e.g., OR=2.4 or smaller depending on the distribution of risk factors) for the association of subject characteristics and mortality. The power analyses were conducted with a two-sided test in a logistic regression under the significance level of 0.05, using PASS 14 Power Analysis and Sample Size Software (NCSS, LLC. Kaysville, Utah). The statistical analyses were conducted using SAS 9.4 (Cary, NC).
The characteristics of the 24,722 subjects who tested negative for COVID-19 and 604 subjects who had a confirmed positive COVID-19 test are listed in
Subject characteristics and COVID-19 diagnosis.
Subject characteristics | Covid-19 | Comparison | OR (95%CI) | P-value | |
---|---|---|---|---|---|
Negative(n = 24,722) | Positive(n = 604) | ||||
Age Group | |||||
<50 years | 10626 (43.0%) | 239 (39.6%) | |||
50–70 years | 9862 (39.9%) | 245 (40.6%) | 50–70 vs <50 | 1.10 (0.92, 1.32) | 0.2798 |
>70 years | 4234 (17.1%) | 120 (19.9%) | >70 vs 50–70 | 1.14 (0.91, 1.42) | 0.2432 |
Race | |||||
African-American (AA) | 7498 (30.3%) | 311 (51.5%) | AA vs White | 2.61 (2.19, 3.10) | <0.0001 |
White | 13821 (55.9%) | 220 (36.4%) | |||
Other | 3403 (13.8%) | 73 (12.1%) | |||
Sex | |||||
Male | 10671 (43.2%) | 272 (45.0%) | M vs F | 1.06 (0.90, 1.25) | 0.4629 |
Female | 13841 (56.0%) | 332 (55.0%) | |||
Unidentified | 210 (0.8%) | ||||
Obesity | |||||
Yes | 11167 (45.2%) | 371 (61.4%) | Y vs N | 1.93 (1.64, 2.28) | <0.0001 |
No | 13555 (54.8%) | 233 (38.6%) | |||
Hypertension | |||||
Yes | 11891 (48.1%) | 420 (69.5%) | Y vs N | 2.46 (2.07, 2.93) | <0.0001 |
No | 12831 (51.9%) | 184 (30.5%) | |||
Diabetes | |||||
Yes | 5865 (23.7%) | 239 (39.6%) | Y vs N | 2.11 (1.78, 2.48) | <0.0001 |
No | 18857 (76.3%) | 365 (60.4%) |
Overall mortality in COVID-19 positive individuals was 11%, but varied a lot depending on a number of subject characteristics. Ninety three percent of deaths occurred in subjects over the age of 50 and male sex as well as hypertension were associated with a significantly elevated risk of death as assessed by bivariate logistic regression analysis (
Characteristics and mortality of COVID-19 positive subjects.
Subject characteristics | Mortality | Comparison | OR (95%CI) | P-value | |
---|---|---|---|---|---|
Alive (n = 537) | Deceased (n = 67) | ||||
<50 years | 234 (43.6%) | 5 (7.5%) | |||
50–70 years | 216 (40.2%) | 29 (43.3%) | 50–70 vs <50 | 6.28 (2.39, 16.5) | 0.0002 |
>70 years | 87 (16.2%) | 33 (49.2%) | >70 vs 50–70 | 2.83 (1.62, 4.93) | 0.0003 |
African-American (AA) | 277 (51.6%) | 34 (50.8%) | AA vs White | 0.84 (0.49, 1.43) | 0.5262 |
White | 192 (35.7%) | 28 (41.8%) | |||
Other | 68 (12.7%) | 5 (7.5%) | |||
Male | 231 (43.0%) | 41 (61.2%) | M vs F | 1.52 (1.19, 1.72) | 0.0055 |
Female | 306 (57.0%) | 26 (38.8%) | |||
Yes | 328 (61.1%) | 43 (64.2%) | Y vs N | 1.14 (0.67, 1.94) | 0.6234 |
No | 209 (38.9%) | 24 (35.8%) | |||
Yes | 361 (67.2%) | 59 (88.1%) | Y vs N | 3.60 (1.68, 7.69) | 0.001 |
No | 176 (32.8%) | 8 (11.9%) | |||
Yes | 194 (36.1%) | 45 (67.2%) | Y vs N | 3.62 (2.11, 6.20) | <0.0001 |
No | 343 (63.9%) | 22 (32.8%) |
We also conducted multiple logistic regression analysis with age, race, sex, obese status, hypertension status, and diabetes status as covariates and the adjusted odds ratios and 95% CIs are illustrated in
Forest plot showing adjusted mortality risk in subjects with coronavirus 2019 (COVID-19). Multiple logistic regression analysis with age, race, sex, obese status, hypertension status, and diabetes status as covariates was performed. The regression yielded a significant model (p<0.0001) with AUC of 0.79 (95% CI 0.74–0.85) and the adjusted odds ratios (OR), 95% confidence intervals (LCL-UCL) and corresponding P-values are shown.
Based on the identification of diabetes as an independent risk factor for mortality in COVID-19 positive subjects, we explored potential additional risk factors within this diabetic subgroup. Notably, higher age and male sex continued to be associated with increased mortality in the context of diabetes, while no significant difference between type 1 (T1D) and type 2 diabetes (T2D) was observed (
Characteristics and mortality of COVID-19 positive subjects with diabetes.
Subject characteristics | Mortality | Comparison | OR (95%CI) | P-value | |
---|---|---|---|---|---|
Alive (n = 194) | Deceased (n = 45) | ||||
<50 years | 50 (25.8%) | 2 (4.4%) | |||
50–70 years | 104 (53.6%) | 20 (44.4%) | 50–70 vs <50 | 4.81 (1.08, 21.4) | 0.0392 |
>70 years | 40 (20.6%) | 23 (51.1%) | >70 vs 50–70 | 2.99 (1.48, 6.03) | 0.0022 |
African-American (AA) | 127 (65.5%) | 28 (62.2%) | AA vs White | 0.82 (0.40, 1.68) | 0.5855 |
White | 52 (26.8%) | 14 (31.1%) | |||
Other | 15 (7.7%) | 3 (6.7%) | |||
Male | 91 (46.9%) | 30 (66.7%) | M vs F | 2.26 (1.15, 4.47) | 0.0187 |
Female | 103 (53.1%) | 15 (33.3%) | |||
Yes | 144 (74.2%) | 34 (75.6%) | Y vs N | 1.07 (0.51, 2.28) | 0.8539 |
No | 50 (25.8%) | 11 (24.4%) | |||
Yes | 176 (90.7%) | 43 (95.6%) | Y vs N | 2.20 (0.49, 9.84) | 0.3027 |
No | 18 (9.3%) | 2 (4.4%) | |||
Type 1 (T1D) | 16 (8.2%) | 3 (6.7%) | T1D vs T2D | 0.79 (0.22, 2.85) | 0.7245 |
Type 2 (T2D) | 178 (91.8%) | 42 (93.3%) | |||
Yes | 72 (40.5%) | 15 (35.7%) | Y vs N | 0.82 (0.41, 1.64) | 0.5728 |
No | 106 (59.5%) | 27 (64.3%) | |||
Yes | 68 (38.2%) | 8 (19.1%) | Y vs N | 0.38 (0.17, 0.87) | 0.0221 |
No | 110 (61.8%) | 34 (81.0%) |
Moreover, we again performed multiple logistic regression analysis with metformin use, insulin use, age, race, sex, obese status, and hypertension status as covariates and the adjusted odds ratios and 95% CIs are shown in
Forest plot showing adjusted mortality risk in subjects with coronavirus 2019 (COVID-19) and T2D. Multiple logistic regression analysis with metformin use, insulin use, age, race, sex, obese status, and hypertension status as covariates was performed and yielded a significant model (p=0.0001) with AUC of 0.77 (0.69, 0.85). The adjusted odds ratios (OR), 95% confidence intervals (LCL-UCL), and corresponding P-values are shown.
BMI, BG, and HbA1C of subjects with COVID-19 and T2D treated with/without metformin.
Alive | Deceased | P-value | ||||
---|---|---|---|---|---|---|
Mean | Mean | t-test | ||||
Metformin use - Yes | 35.2 | 30.9 | 0.2406 | |||
Metformin use - No | 33.6 | 32.4 | 0.6039 | |||
Metformin use - Yes | 8.0 | 7.3 | 0.4627 | |||
Metformin use - No | 7.0 | 6.6 | 0.4428 | |||
Metformin use - Yes | 181.4 | 207.3 | 0.5166 | |||
Metformin use - No | 148.6 | 156.2 | 0.5799 | |||
Metformin use - Yes | 156.6 | 173.7 | 0.4713 | |||
Metformin use - No | 143.0 | 147.8 | 0.6466 |
Still, since metformin is known and used for its weight neutral or even weight lowering properties, while improving glycemic control in T2D (
In summary, the findings of this study in a racially diverse population demonstrate that diabetes is an independent risk factor associated with increased mortality in individuals with COVID-19, whereas metformin treatment is associated with dramatically reduced mortality in subjects with T2D even after correcting for multiple covariates.
Most strikingly, we found that metformin use prior to the diagnosis of COVID-19 was associated with a ~3-fold decrease in mortality and significantly lower unadjusted and adjusted odds ratios in subjects with diabetes. Of note, this effect remained even after correcting for age, sex, race, obesity, and hypertension or chronic kidney disease and heart failure. Interestingly and in alignment with this finding, an early report from Wuhan, China also suggested that metformin was associated with decreased mortality in hospitalized COVID-19 patients with diabetes in (
At this point, the mechanisms by which metformin might improve prognosis in the context of COVID-19 are not known. Our findings suggest that they go beyond any expected improvement in glycemic control or obesity as blood glucose, HbA1C, or BMI were not lower in COVID-19 survivors on metformin. Interestingly, metformin has previously been shown to also have anti-inflammatory (
While diabetes has been recognized universally as one of the major comorbidities adversely affecting COVID-19 outcome, the factors responsible for this phenomenon are not well understood. Of note, we found that the increased mortality risk of subjects with diabetes persisted even after correcting for covariates such as age, race, obesity, and hypertension, suggesting that while these factors might contribute to a worse outcome, they cannot fully account for it. In the CORONADO study higher glucose levels at admission were associated with a trend toward increased mortality (
Higher age and male sex were the other independent risk factors associated with increased mortality that we found consistently across subjects with and without diabetes. In fact, the mortality rate in males was more than two-fold higher than in females, which is in line with previous studies (
In our cohort being African-American appeared to be primarily a risk factor for contracting COVID-19 rather than for mortality. These findings are supported by a recent study using an integrated-delivery health system cohort with similar demographics (~30% Blacks/African-American), which found that Black race was not associated with higher in-hospital mortality than White race. This suggests that any racial disparity observed may be more likely due to exposure risk and external, socioeconomic factors than to biological differences. The fact that other geographic areas (mostly with a smaller proportion of African-Americans), did see a difference in mortality (
Limitations of the study include the size that did not allow for any separate analyses of additional subgroups such as T1D or subjects on other anti-diabetic drugs besides metformin. On the other hand, the diverse community comprising a large proportion of African-American men and women represents a unique feature of our study. Also, the fact that in our study metformin-users did not have lower blood glucose levels than non-users, suggested that better metabolic control was unlikely to be responsible for the improved outcome observed in these subjects.
Taken together, our study reaffirmed the role of the major comorbidities associated with COVID-19 in a more diverse population with a higher proportion of African-Americans, demonstrated the prominence of diabetes as an independent risk factor associated with higher mortality and revealed that metformin use prior to a diagnosis of COVID-19 was associated with a consistent and robust decrease in mortality in subjects with diabetes. Future studies will have to explore how metformin might confer these protective effects, provide a careful risk benefit assessment and determine whether the indications for metformin treatment should be broadened in the face of the ongoing COVID-19 pandemic.
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.
The studies involving human participants were reviewed and approved by UAB Institutional Review Board. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
AC and TG were responsible for data acquisition and analysis. PL performed all the statistical analyses. MM and FO helped with the approach and interpretation. AS conceived the study and wrote the manuscript. All authors contributed to the article and approved the submitted version.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AS is supported by National Institutes of Health grants R01DK078752 and U01DK120379 and the UAB Center for Clinical and Translational Science (CCTS) by UL1TR001417.
This manuscript has been released as a pre-print at medRxiv