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1.
Lancet Diabetes Endocrinol ; 9(10): 671-680, 2021 10.
Article in English | MEDLINE | ID: covidwho-1531932

ABSTRACT

BACKGROUND: Diabetic ketoacidosis (DKA) has been reported to be increasing in frequency during the COVID-19 pandemic. We aimed to examine the rates of DKA hospital admissions and the patient demographics associated with DKA during the pandemic compared with in prepandemic years. METHODS: Using a comprehensive, multiethnic, national dataset, the Secondary Uses Service repository, we extracted all emergency hospital admissions in England coded with DKA from March 1 to June 30, 2020 (first wave of the pandemic), July 1 to Oct 31, 2020 (post-first wave), and Nov 1, 2020, to Feb 28, 2021 (second wave), and compared these with DKA admissions in the equivalent periods in 2017-20. We also examined baseline characteristics, mortality, and trends in patients who were admitted with DKA. FINDINGS: There were 8553 admissions coded with DKA during the first wave, 8729 during the post-first wave, and 10 235 during the second wave. Compared with preceding years, DKA admissions were 6% (95% CI 4-9; p<0·0001) higher in the first wave of the pandemic (from n=8048), 6% (3-8; p<0·0001) higher in the post-first wave (from n=8260), and 7% (4-9; p<0·0001) higher in the second wave (from n=9610). In the first wave, DKA admissions reduced by 19% (95% CI 16-21) in those with pre-existing type 1 diabetes (from n=4965 to n=4041), increased by 41% (35-47) in those with pre-existing type 2 diabetes (from n=2010 to n=2831), and increased by 57% (48-66) in those with newly diagnosed diabetes (from n=1072 to n=1681). Compared with prepandemic, type 2 diabetes DKA admissions were similarly common in older individuals and men but were higher in those of non-White ethnicities during the first wave. The increase in newly diagnosed DKA admissions occurred across all age groups and these were significantly increased in men and people of non-White ethnicities. In the post-first wave, DKA admissions did not return to the baseline level of previous years; DKA admissions were 14% (11-17) lower in patients with type 1 diabetes (from n=5208 prepandemic to n=4491), 30% (24-36) higher in patients with type 2 diabetes (from n=2011 to n=2613), and 56% (47-66) higher in patients with newly diagnosed diabetes (from n=1041 to n=1625). During the second wave, DKA admissions were 25% (22-27) lower in patients with type 1 diabetes (from n=5769 prepandemic to n=4337), 50% (44-56) higher in patients with type 2 diabetes (from n=2608 to n=3912), and 61% (52-70) higher in patients with newly diagnosed diabetes (from n=1234 to n=1986). INTERPRETATION: Our results provide evidence for differences in the numbers and characteristics of people presenting with DKA during the COVID-19 pandemic compared with in the preceding 3 years. Greater awareness of risk factors for DKA in type 2 diabetes and vigilance for newly diagnosed diabetes presenting with DKA during the COVID-19 pandemic might help mitigate the increased impact of DKA. FUNDING: None.


Subject(s)
COVID-19/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Diabetic Ketoacidosis/epidemiology , Emergency Service, Hospital/trends , Patient Admission/trends , Population Surveillance , Adolescent , Adult , Aged , COVID-19/prevention & control , Databases, Factual/trends , Diabetes Mellitus, Type 2/therapy , Diabetic Ketoacidosis/therapy , England/epidemiology , Female , Humans , Male , Middle Aged , Population Surveillance/methods , Time Factors , Young Adult
2.
Lancet Diabetes Endocrinol ; 9(5): 293-303, 2021 05.
Article in English | MEDLINE | ID: covidwho-1531930

ABSTRACT

BACKGROUND: In patients with type 2 diabetes, hyperglycaemia is an independent risk factor for COVID-19-related mortality. Associations between pre-infection prescription for glucose-lowering drugs and COVID-19-related mortality in people with type 2 diabetes have been postulated but only investigated in small studies and limited to a few agents. We investigated whether there are associations between prescription of different classes of glucose-lowering drugs and risk of COVID-19-related mortality in people with type 2 diabetes. METHODS: This was a nationwide observational cohort study done with data from the National Diabetes Audit for people with type 2 diabetes and registered with a general practice in England since 2003. Cox regression was used to estimate the hazard ratio (HR) of COVID-19-related mortality in people prescribed each class of glucose-lowering drug, with covariate adjustment with a propensity score to address confounding by demographic, socioeconomic, and clinical factors. FINDINGS: Among the 2 851 465 people with type 2 diabetes included in our analyses, 13 479 (0·5%) COVID-19-related deaths occurred during the study period (Feb 16 to Aug 31, 2020), corresponding to a rate of 8·9 per 1000 person-years (95% CI 8·7-9·0). The adjusted HR associated with recorded versus no recorded prescription was 0·77 (95% CI 0·73-0·81) for metformin and 1·42 (1·35-1·49) for insulin. Adjusted HRs for prescription of other individual classes of glucose-lowering treatment were as follows: 0·75 (0·48-1·17) for meglitinides, 0·82 (0·74-0·91) for SGLT2 inhibitors, 0·94 (0·82-1·07) for thiazolidinediones, 0·94 (0·89-0·99) for sulfonylureas, 0·94 (0·83-1·07) for GLP-1 receptor agonists, 1·07 (1·01-1·13) for DPP-4 inhibitors, and 1·26 (0·76-2·09) for α-glucosidase inhibitors. INTERPRETATION: Our results provide evidence of associations between prescription of some glucose-lowering drugs and COVID-19-related mortality, although the differences in risk are small and these findings are likely to be due to confounding by indication, in view of the use of different drug classes at different stages of type 2 diabetes disease progression. In the context of the COVID-19 pandemic, there is no clear indication to change prescribing of glucose-lowering drugs in people with type 2 diabetes. FUNDING: None.


Subject(s)
COVID-19/mortality , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/drug therapy , Hypoglycemic Agents/adverse effects , Aged , COVID-19/complications , Cohort Studies , England , Female , Humans , Male , Middle Aged , Proportional Hazards Models
4.
BMJ ; 373: n1094, 2021 Apr 27.
Article in English | MEDLINE | ID: covidwho-1206026
5.
EClinicalMedicine ; 35: 100859, 2021 May.
Article in English | MEDLINE | ID: covidwho-1202394

ABSTRACT

Background: A key first step in optimising COVID-19 patient outcomes during future case-surges is to learn from the experience within individual hospitals during the early stages of the pandemic. The aim of this study was to investigate the extent of variation in COVID-19 outcomes between National Health Service (NHS) hospital trusts and regions in England using data from March-July 2020. Methods: This was a retrospective observational study using the Hospital Episode Statistics administrative dataset. Patients aged ≥ 18 years who had a diagnosis of COVID-19 during a hospital stay in England that was completed between March 1st and July 31st, 2020 were included. In-hospital mortality was the primary outcome of interest. In secondary analysis, critical care admission, length of stay and mortality within 30 days of discharge were also investigated. Multilevel logistic regression was used to adjust for covariates. Findings: There were 86,356 patients with a confirmed diagnosis of COVID-19 included in the study, of whom 22,944 (26.6%) died in hospital with COVID-19 as the primary cause of death. After adjusting for covariates, the extent of the variation in-hospital mortality rates between hospital trusts and regions was relatively modest. Trusts with the largest baseline number of beds and a greater proportion of patients admitted to critical care had the lowest in-hospital mortality rates. Interpretation: There is little evidence of clustering of deaths within hospital trusts. There may be opportunities to learn from the experience of individual trusts to help prepare hospitals for future case-surges.

6.
BMJ ; 373: n989, 2021 04 21.
Article in English | MEDLINE | ID: covidwho-1197254
7.
BMJ ; 372: n424, 2021 Feb 17.
Article in English | MEDLINE | ID: covidwho-1088221
8.
BMJ ; 372: n128, 2021 01 19.
Article in English | MEDLINE | ID: covidwho-1039872
9.
BMJ ; 371: m4304, 2020 Nov 10.
Article in English | MEDLINE | ID: covidwho-962819
10.
BMJ ; 371: m4598, 2020 Nov 26.
Article in English | MEDLINE | ID: covidwho-944928
12.
BMJ ; 371: m3931, 2020 10 13.
Article in English | MEDLINE | ID: covidwho-860661
13.
Preprint | SSRN | ID: ppcovidwho-1413

ABSTRACT

Background: Although diabetes has been associated with COVID-19 mortality, its scale and relationships with modifiable risk factors including hyperglycaemia and

14.
Preprint | SSRN | ID: ppcovidwho-1406

ABSTRACT

Background: Although diabetes has been associated with COVID-19 mortality, the absolute and relative risks for Type 1 and Type 2 diabetes are unknown.brbrMe

15.
Lancet Diabetes Endocrinol ; 8(10): 823-833, 2020 10.
Article in English | MEDLINE | ID: covidwho-712031

ABSTRACT

BACKGROUND: Diabetes has been associated with increased COVID-19-related mortality, but the association between modifiable risk factors, including hyperglycaemia and obesity, and COVID-19-related mortality among people with diabetes is unclear. We assessed associations between risk factors and COVID-19-related mortality in people with type 1 and type 2 diabetes. METHODS: We did a population-based cohort study of people with diagnosed diabetes who were registered with a general practice in England. National population data on people with type 1 and type 2 diabetes collated by the National Diabetes Audit were linked to mortality records collated by the Office for National Statistics from Jan 2, 2017, to May 11, 2020. We identified the weekly number of deaths in people with type 1 and type 2 diabetes during the first 19 weeks of 2020 and calculated the percentage change from the mean number of deaths for the corresponding weeks in 2017, 2018, and 2019. The associations between risk factors (including sex, age, ethnicity, socioeconomic deprivation, HbA1c, renal impairment [from estimated glomerular filtration rate (eGFR)], BMI, tobacco smoking status, and cardiovascular comorbidities) and COVID-19-related mortality (defined as International Classification of Diseases, version 10, code U07.1 or U07.2 as a primary or secondary cause of death) between Feb 16 and May 11, 2020, were investigated by use of Cox proportional hazards models. FINDINGS: Weekly death registrations in the first 19 weeks of 2020 exceeded the corresponding 3-year weekly averages for 2017-19 by 672 (50·9%) in people with type 1 diabetes and 16 071 (64·3%) in people with type 2 diabetes. Between Feb 16 and May 11, 2020, among 264 390 people with type 1 diabetes and 2 874 020 people with type 2 diabetes, 1604 people with type 1 diabetes and 36 291 people with type 2 diabetes died from all causes. Of these total deaths, 464 in people with type 1 diabetes and 10 525 in people with type 2 diabetes were defined as COVID-19 related, of which 289 (62·3%) and 5833 (55·4%), respectively, occurred in people with a history of cardiovascular disease or with renal impairment (eGFR <60 mL/min per 1·73 m2). Male sex, older age, renal impairment, non-white ethnicity, socioeconomic deprivation, and previous stroke and heart failure were associated with increased COVID-19-related mortality in both type 1 and type 2 diabetes. Compared with people with an HbA1c of 48-53 mmol/mol (6·5-7·0%), people with an HbA1c of 86 mmol/mol (10·0%) or higher had increased COVID-19-related mortality (hazard ratio [HR] 2·23 [95% CI 1·50-3·30, p<0·0001] in type 1 diabetes and 1·61 [1·47-1·77, p<0·0001] in type 2 diabetes). In addition, in people with type 2 diabetes, COVID-19-related mortality was significantly higher in those with an HbA1c of 59 mmol/mol (7·6%) or higher than in those with an HbA1c of 48-53 mmol/mol (HR 1·22 [95% CI 1·15-1·30, p<0·0001] for 59-74 mmol/mol [7·6-8·9%] and 1·36 [1·24-1·50, p<0·0001] for 75-85 mmol/mol [9·0-9·9%]). The association between BMI and COVID-19-related mortality was U-shaped: in type 1 diabetes, compared with a BMI of 25·0-29·9 kg/m2, a BMI of less than 20·0 kg/m2 had an HR of 2·45 (95% CI 1·60-3·75, p<0·0001) and a BMI of 40·0 kg/m2 or higher had an HR of 2·33 (1·53-3·56, p<0·0001); the corresponding HRs for type 2 diabetes were 2·33 (2·11-2·56, p<0·0001) and 1·60 (1·47-1·75, p<0·0001). INTERPRETATION: Deaths in people with type 1 and type 2 diabetes rose sharply during the initial COVID-19 pandemic in England. Increased COVID-19-related mortality was associated not only with cardiovascular and renal complications of diabetes but, independently, also with glycaemic control and BMI. FUNDING: None.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Diabetes Mellitus, Type 1/mortality , Diabetes Mellitus, Type 2/mortality , Pneumonia, Viral/mortality , Population Surveillance , Adult , Aged , Aged, 80 and over , COVID-19 , Cohort Studies , Coronavirus Infections/diagnosis , Databases, Factual/trends , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 2/diagnosis , Female , Humans , Male , Middle Aged , Mortality/trends , National Health Programs/trends , Pandemics , Pneumonia, Viral/diagnosis , Population Surveillance/methods , Risk Factors , SARS-CoV-2 , Young Adult
16.
Lancet Diabetes Endocrinol ; 8(10): 813-822, 2020 10.
Article in English | MEDLINE | ID: covidwho-712030

ABSTRACT

BACKGROUND: Although diabetes has been associated with COVID-19-related mortality, the absolute and relative risks for type 1 and type 2 diabetes are unknown. We assessed the independent effects of diabetes status, by type, on in-hospital death in England in patients with COVID-19 during the period from March 1 to May 11, 2020. METHODS: We did a whole-population study assessing risks of in-hospital death with COVID-19 between March 1 and May 11, 2020. We included all individuals registered with a general practice in England who were alive on Feb 16, 2020. We used multivariable logistic regression to examine the effect of diabetes status, by type, on in-hospital death with COVID-19, adjusting for demographic factors and cardiovascular comorbidities. Because of the absence of data on total numbers of people infected with COVID-19 during the observation period, we calculated mortality rates for the population as a whole, rather than the population who were infected. FINDINGS: Of the 61 414 470 individuals who were alive and registered with a general practice on Feb 16, 2020, 263 830 (0·4%) had a recorded diagnosis of type 1 diabetes, 2 864 670 (4·7%) had a diagnosis of type 2 diabetes, 41 750 (0·1%) had other types of diabetes, and 58 244 220 (94·8%) had no diabetes. 23 698 in-hospital COVID-19-related deaths occurred during the study period. A third occurred in people with diabetes: 7434 (31·4%) in people with type 2 diabetes, 364 (1·5%) in those with type 1 diabetes, and 69 (0·3%) in people with other types of diabetes. Unadjusted mortality rates per 100 000 people over the 72-day period were 27 (95% CI 27-28) for those without diabetes, 138 (124-153) for those with type 1 diabetes, and 260 (254-265) for those with type 2 diabetes. Adjusted for age, sex, deprivation, ethnicity, and geographical region, compared with people without diabetes, the odds ratios (ORs) for in-hospital COVID-19-related death were 3·51 (95% CI 3·16-3·90) in people with type 1 diabetes and 2·03 (1·97-2·09) in people with type 2 diabetes. These effects were attenuated to ORs of 2·86 (2·58-3·18) for type 1 diabetes and 1·80 (1·75-1·86) for type 2 diabetes when also adjusted for previous hospital admissions with coronary heart disease, cerebrovascular disease, or heart failure. INTERPRETATION: The results of this nationwide analysis in England show that type 1 and type 2 diabetes were both independently associated with a significant increased odds of in-hospital death with COVID-19. FUNDING: None.


Subject(s)
Betacoronavirus , Coronavirus Infections/mortality , Diabetes Mellitus, Type 1/mortality , Diabetes Mellitus, Type 2/mortality , Hospital Mortality/trends , Pneumonia, Viral/mortality , Population Surveillance , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19 , Child , Child, Preschool , Comorbidity , Coronavirus Infections/diagnosis , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 2/diagnosis , England/epidemiology , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Mortality/trends , Pandemics , Pneumonia, Viral/diagnosis , Population Surveillance/methods , SARS-CoV-2 , Young Adult
17.
BMJ ; 370: m3034, 2020 08 06.
Article in English | MEDLINE | ID: covidwho-705755
18.
Eur J Endocrinol ; 183(2): G67-G77, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-665892

ABSTRACT

The COVID-19 pandemic is a major international emergency leading to unprecedented medical, economic and societal challenges. Countries around the globe are facing challenges with diabetes care and are similarly adapting care delivery, with local cultural nuances. People with diabetes suffer disproportionately from acute COVID-19 with higher rates of serious complications and death. In-patient services need specialist support to appropriately manage glycaemia in people with known and undiagnosed diabetes presenting with COVID-19. Due to the restrictions imposed by the pandemic, people with diabetes may suffer longer-term harm caused by inadequate clinical support and less frequent monitoring of their condition and diabetes-related complications. Outpatient management need to be reorganised to maintain remote advice and support services, focusing on proactive care for the highest risk, and using telehealth and digital services for consultations, self-management and remote monitoring, where appropriate. Stratification of patients for face-to-face or remote follow-up should be based on a balanced risk assessment. Public health and national organisations have generally responded rapidly with guidance on care management, but the pandemic has created a tension around prioritisation of communicable vs non-communicable disease. Resulting challenges in clinical decision-making are compounded by a reduced clinical workforce. For many years, increasing diabetes mellitus incidence has been mirrored by rising preventable morbidity and mortality due to complications, yet innovation in service delivery has been slow. While the current focus is on limiting the terrible harm caused by the pandemic, it is possible that a positive lasting legacy of COVID-19 might include accelerated innovation in chronic disease management.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Diabetes Mellitus/epidemiology , Diabetes Mellitus/therapy , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , Therapies, Investigational/trends , COVID-19 , Coronavirus Infections/diagnosis , Diabetes Mellitus/diagnosis , Endocrinology/methods , Endocrinology/trends , Humans , Pandemics , Pneumonia, Viral/diagnosis , SARS-CoV-2 , Telemedicine/methods , Telemedicine/trends , Therapies, Investigational/methods , United Kingdom/epidemiology
19.
BMJ ; 369: m2583, 2020 06 30.
Article in English | MEDLINE | ID: covidwho-631588
20.
BMJ ; 369: m2154, 2020 06 02.
Article in English | MEDLINE | ID: covidwho-459453
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