Diabetic ketoacidosis (DKA) is a life-threatening metabolic decompensation occurring with any diabetes subtype, often precipitated by infection. During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, reports emerged suggesting that coronavirus disease 2019 (COVID-19) is associated with a higher frequency of DKA with atypical presentations (1,2) and led some to hypothesize a direct effect of SARS-CoV-2 on the pancreas itself (3).
We addressed the observational bias of such reports by comparing DKA cases and characteristics in adults during the outbreak to matched 4-month periods (1 February–31 May) from 2017 to 2019 at a large London National Health Service (NHS) Trust.
Analyzing 175 biochemically confirmed DKA cases, the 3-year average for patients admitted over the 4-month period was 44 (exact Poisson CI 32–59) vs. 43 (31–58) during the outbreak. Although adult medical admissions reduced by 33% (3-year average for the same time period 26,831 vs. 19,267), the proportion of individuals presenting with DKA during the outbreak was 0.22% of all admissions compared with a 3-year average of 0.16% (P = 0.16).
Among those presenting with DKA, the proportion with a diagnosis of type 2 diabetes during the SARS-CoV-2 outbreak was higher compared with the preceding 3 years (37% vs. 17%, P = 0.01) (Table 1), and proportion with type 1 diabetes reduced from 68% prepandemic to 44%. Adults with type 2 diabetes had a significantly higher proportion of positivity for SARS-CoV-2 than those with other types of diabetes—89% vs. 27%, respectively (P = 0.009).
Proportion of patients presenting with DKA during the COVID-19 outbreak and in comparison with the 4-month period from 1 February to 31 May between 2017 and 2019. Subanalysis by subtype of diabetes and SARS-CoV-2 status along with treatment and mortality data. P values derived using a Fisher exact test.
. | Total, 2017–2019 . | During outbreak . | P (before vs. during outbreak) . | Tested for SARS-CoV-2 . | SARS-CoV-2–positive . | SARS-Cov-2–negative . | P (positive vs. negative) . |
---|---|---|---|---|---|---|---|
Total DKA cases (biochemically confirmed) | 133 | 43 | 24 (56) | 12 (50) | 12 (50) | ||
Subtypes of diabetes | |||||||
Known type 1 diabetes | 89 (68) | 19 (44) | 0.019** | 9 (47) | 1 (11) | 8 (89) | 0.002** |
Known type 2 diabetes | 22 (17) | 16 (37) | 9 (56) | 8 (89) | 1 (11) | ||
Known other type | 4 (3) | 2 (5) | 2 (100) | 1 (50) | 1 (50) | ||
New presentation | 15 (12) | 6 (14)# | 4 (67) | 2 (50) | 2 (50) | ||
All non–type 2 diabetes | 108 (83) | 27 (63) | 0.01* | 15 (56) | 4 (27) | 11 (73) | 0.009* |
All known diabetes | 115 (88) | 37(86) | 0.79$ | 20 (54) | 10 (50) | 10 (5) | 1.0$ |
Treatment of type 2 diabetes at admission | |||||||
Insulin treated | 11 (58) | 6 (38) | 0.32 | — | — | — | — |
SGLT2 inhibitor | 3 (14) | 1 (6) | 0.62 | — | — | — | — |
Mortality | |||||||
Overall | 3/130 (2.3) | 5/43 (12) | 0.023 | 4/5 (80) | 4/4 (100) | 0 | — |
Type 2 diabetes | 2/22 (9) | 5/16 (31) | 0.12 | 4/5 (80) | 4/4 (100) | 0 | — |
. | Total, 2017–2019 . | During outbreak . | P (before vs. during outbreak) . | Tested for SARS-CoV-2 . | SARS-CoV-2–positive . | SARS-Cov-2–negative . | P (positive vs. negative) . |
---|---|---|---|---|---|---|---|
Total DKA cases (biochemically confirmed) | 133 | 43 | 24 (56) | 12 (50) | 12 (50) | ||
Subtypes of diabetes | |||||||
Known type 1 diabetes | 89 (68) | 19 (44) | 0.019** | 9 (47) | 1 (11) | 8 (89) | 0.002** |
Known type 2 diabetes | 22 (17) | 16 (37) | 9 (56) | 8 (89) | 1 (11) | ||
Known other type | 4 (3) | 2 (5) | 2 (100) | 1 (50) | 1 (50) | ||
New presentation | 15 (12) | 6 (14)# | 4 (67) | 2 (50) | 2 (50) | ||
All non–type 2 diabetes | 108 (83) | 27 (63) | 0.01* | 15 (56) | 4 (27) | 11 (73) | 0.009* |
All known diabetes | 115 (88) | 37(86) | 0.79$ | 20 (54) | 10 (50) | 10 (5) | 1.0$ |
Treatment of type 2 diabetes at admission | |||||||
Insulin treated | 11 (58) | 6 (38) | 0.32 | — | — | — | — |
SGLT2 inhibitor | 3 (14) | 1 (6) | 0.62 | — | — | — | — |
Mortality | |||||||
Overall | 3/130 (2.3) | 5/43 (12) | 0.023 | 4/5 (80) | 4/4 (100) | 0 | — |
Type 2 diabetes | 2/22 (9) | 5/16 (31) | 0.12 | 4/5 (80) | 4/4 (100) | 0 | — |
Data are n or n (%). SGLT2, sodium–glucose cotransporter 2.
P value for comparison of the distribution of different subtypes of diabetes.
Statistical comparison of all non–type 2 diabetes vs. type 2 diabetes.
Statistical comparison of DKA cases in all individuals with known diabetes versus DKA cases in those with new diabetes presentation.
Of the six newly diagnosed individuals, reviewed retrospectively, three had type 1 diabetes (positive pancreatic autoantibodies), one had type 2 diabetes, one had pancreatic type 3c diabetes, and the final developed insulin-deficient diabetes after immune checkpoint inhibitor use, with negative autoantibodies. The checkpoint inhibitor patient and one patient with type 1 diabetes were positive to SARS-CoV-2.
Adults (n = 43) presenting during the outbreak were older than those (n = 132) in preceding years (median age 53 vs. 44 years, P = 0.03) and fewer were insulin treated (89% vs. 60%, P < 0.0001).
Comparing n = 89 adults in DKA with type 1 diabetes prepandemic to n = 19 during the outbreak, we observed no significant differences in demographic characteristics or biochemical characteristics of DKA (pH, ketone, or bicarbonate level) and noted markedly elevated HbA1c (11.1% [98 mmol/mol] prepandemic vs. 12.9% [118 mmol/mol], P = 0.1) across both time frames.
Adults (n = 22) with type 2 diabetes in DKA during the outbreak were of similar age to those prepandemic (69 vs. 63 years, P = 0.5), and no demographic or biochemical differences were observed including use of sodium–glucose cotransporter 2 inhibitors (Table 1).
People with type 2 diabetes in DKA who had COVID-19 (n = 8) were more likely to be of non-White ethnicity (100% vs. 35%, P = 0.015) than patients prepandemic (n = 22) and equally likely to not be insulin treated (50% vs. 50%). In total, 5 of 43 (12%) individuals (all with type 2 diabetes and 4 of 5 with COVID-19) died during their admission with DKA compared with 3 of 130 (2.3%) prepandemic (P = 0.023) (Table 1). Those who died had significant comorbidities or multiorgan failure at admission and were not deemed appropriate for intensive care or ventilatory support.
In this systematic analysis of DKA presentations during the COVID-19 pandemic compared with previous years, no significant changes in absolute numbers of DKA cases were observed, but adults with type 2 diabetes disproportionately contributed to cases. The presentations of DKA in people with type 2 diabetes were significantly associated with SARS-CoV-2 infection, while the proportion of people presenting in DKA with known type 1 diabetes reduced and they were less likely to test positive.
We hypothesize that the characteristics of those overrepresented in the DKA cohort during the pandemic reflect the characteristics of those most at risk for the severe manifestations of COVID-19 (4): older individuals with suboptimal glycemic control and a propensity toward people from non-White ethnic groups among those with COVID-19. A study of n = 35 hyperglycemic emergencies (2) in SARS-CoV-2–positive patients supports our observation of excess type 2 diabetes presentations.
The “stress response” associated with COVID-19 may account for the higher proportion of DKA in those with type 2 diabetes; relative insulin deficiency from rising glucagon and cortisol contributes to DKA development, particularly in those not insulin treated. Excess DKA was noted in a previous influenza epidemic when ∼70% of the typical DKA cases/year occurred in an 8-week period (5), suggesting DKA in at-risk individuals may be an expected feature of any severe viral infection.
We observed no differences in the biochemical characteristics or severity of DKA; however, despite this, a higher death rate was observed, specifically in those with COVID-19. With larger numbers, biochemical differences may emerge, but the higher frequency of type 2 diabetes may account for observations of “atypical presentations” as practitioners may be more accustomed to managing DKA in people with type 1 diabetes.
We acknowledge national testing strategies employed early in the outbreak may have missed some cases of COVID-19. Until 26 April, specific criteria had to be met (fever, cough, breathlessness) to be tested, but beyond that date all admissions were tested.
In conclusion, the SARS-CoV-2 outbreak was associated with similar numbers of DKA cases in adults compared with previous years. However, a higher proportion of cases occurred in older individuals with type 2 diabetes who were less likely to be insulin treated, and these presentations were specifically associated with positivity for SARS-CoV-2 in non-White ethnic groups. Further work is needed to determine whether this finding represents a specific SARS-CoV-2 effect on the β-cell or if these cases reflect the effects of widespread infection on risk of DKA in susceptible individuals.
This article is part of a special article collection available at https://care.diabetesjournals.org/collection/diabetes-and-COVID19.
Article Information
Acknowledgments. The authors thank members of the medical team who contributed to data collection of the DKA cases during the outbreak: Dr. Julia Kenkre, Dr. Chioma Otti, Dr. Parizad Avari, and Dr. Neil Hill (Imperial College Healthcare NHS Trust). They also thank Tayyab Dar, data analyst, for support in extracting relevant data.
Funding. S.M. is supported by a Future Leaders Mentorship Award from the European Foundation for the Study of Diabetes. V.S. is supported by a Harry Keen Fellowship from Diabetes UK.
This manuscript presents independent research undertaken without funding but supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Imperial College Healthcare NHS Trust. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health.
Duality of Interest. No potential conflicts of interest relevant to this article were reported.
Author Contributions. S.M., T.T., D.G., V.B., and J.V. contributed to study design and methodology. S.M. and J.H. performed the literature search. S.M., B.K., J.H., K.M., M.R., V.S., and G.T. collected data. S.M., B.K., and J.H. performed data curation. S.M., B.K., T.T., D.G., V.B., and J.V. performed the formal analysis. All authors helped draft, edit, and review the submitted manuscript. S.M. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.