The Risk Factors Potentially Influencing Hospital Admission in People with Diabetes, Following SARS-CoV-2 Infection: A Population-Level Analysis

被引:16
作者
Heald, Adrian H. [1 ,2 ,3 ]
Jenkins, David A. [4 ,5 ]
Williams, Richard [4 ,5 ]
Sperrin, Matthew [4 ,5 ]
Fachim, Helene [1 ,2 ,3 ]
Mudaliar, Rajshekhar N. [1 ,2 ,3 ]
Syed, Akheel [1 ,2 ,3 ]
Naseem, Asma [1 ,2 ,3 ]
Gibson, J. Martin [1 ,2 ,3 ]
Davies, Kelly A. Bowden [6 ]
Peek, Niels [4 ,5 ]
Anderson, Simon G. [7 ,8 ]
Peng, Yonghong [9 ]
Ollier, William [9 ]
机构
[1] Univ Manchester, Sch Med, Manchester, Lancs, England
[2] Univ Manchester, Manchester Acad Hlth Sci Ctr, Manchester, Lancs, England
[3] Salford Royal NHS Fdn Trust, Dept Diabet & Endocrinol, Salford, Lancs, England
[4] Univ Manchester, Manchester Acad Hlth Sci Ctr, Fac Biol, Div Informat Imaging & Data Sci, Manchester, Lancs, England
[5] Univ Manchester, NIHR Greater Manchester Patient Safety Translat R, Manchester, Lancs, England
[6] Manchester Metropolitan Univ, Musculoskeletal Sci & Sports Med Res Ctr, Dept Sport & Exercise Sci, Manchester, Lancs, England
[7] Univ West Indies, Cavehill Campus, Bridgetown, Barbados
[8] Univ Manchester, Fac Biol Med & Hlth, Div Cardiovasc Sci, Manchester, Lancs, England
[9] Manchester Metropolitan Univ, Fac Sci & Engn, Manchester, Lancs, England
关键词
SARS-CoV-2; Covid-19; T1DM; T2DM; Hospital admission; COVID-19; COMORBIDITIES; OUTCOMES; DISEASE;
D O I
10.1007/s13300-022-01230-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Since early 2020 the whole world has been challenged by the SARS-CoV-2 virus and the associated global pandemic (Covid-19). People with diabetes are particularly at high risk of becoming seriously unwell after contracting this virus. Methods This population-based study included people living in the Greater Manchester conurbation who had a recorded diagnosis of type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) and subsequent Covid-19 infection. Each individual with T1DM (n = 862) or T2DM (n = 13,225) was matched with three Covid-19-infected non-diabetes controls. Results For individuals with T1DM, hospital admission rate in the first 28 days after a positive Covid-19 test was 10% vs 4.7% in age/gender-matched controls [relative risk (RR) 2.1]. For individuals with T2DM, hospital admission rate after a positive Covid-19 test was 16.3% vs 11.6% in age/gender-matched controls (RR 1.4). The average Townsend score was higher in T2DM (1.8) vs matched controls (0.4), with a higher proportion of people with T2DM observed in the top two quintiles of greatest disadvantage (p < 0.001). For Covid-19-infected individuals with T1DM, factors influencing admission likelihood included age, body mass index (BMI), hypertension, HbA1c, low HDL-cholesterol, lower estimated glomerular filtration rate (eGFR), chronic obstructive pulmonary disease (COPD) and being of African/mixed ethnicity. In Covid-19-infected individuals with T2DM, factors related to a higher admission rate included age, Townsend index, comorbidity with COPD/asthma and severe mental illness (SMI), lower eGFR. Metformin prescription lowered the likelihood. For multivariate analysis in combined individuals with T2DM/controls, factors relating to higher likelihood of admission were having T2DM/age/male gender/diagnosed COPD/diagnosed hypertension/social deprivation (higher Townsend index) and non-white ethnicity (all groups). Conclusion In a UK population we have confirmed a significantly higher likelihood of admission in people with diabetes following Covid-19 infection. A number of factors mediate that increased likelihood of hospital admission. For T2DM, the majority of factors related to increased admission rate are common to the general population but more prevalent in T2DM. There was a protective effect of metformin in people with T2DM.
引用
收藏
页码:1007 / 1021
页数:15
相关论文
共 25 条
[1]   Diabetes and COVID-19: A systematic review on the current evidences [J].
Abdi, Alireza ;
Jalilian, Milad ;
Sarbarzeh, Pegah Ahmadi ;
Vlaisavljevic, Zeljko .
DIABETES RESEARCH AND CLINICAL PRACTICE, 2020, 166
[2]   Associations of type 1 and type 2 diabetes with COVID-19-related mortality in England: a whole-population study [J].
Barron, Emma ;
Bakhai, Chirag ;
Kar, Partha ;
Weaver, Andy ;
Bradley, Dominique ;
Ismail, Hassan ;
Knighton, Peter ;
Holman, Naomi ;
Khunti, Kamlesh ;
Sattar, Naveed ;
Wareham, Nicholas J. ;
Young, Bob ;
Valabhji, Jonathan .
LANCET DIABETES & ENDOCRINOLOGY, 2020, 8 (10) :813-822
[3]   Vitamin D and COVID-19 [J].
Bilezikian, John P. ;
Bikle, Daniel ;
Hewison, Martin ;
Lazaretti-Castro, Marise ;
Formenti, Anna Maria ;
Gupta, Aakriti ;
Madhavan, Mahesh, V ;
Nair, Nandini ;
Babalyan, Varta ;
Hutchings, Nicholas ;
Napoli, Nicola ;
Accili, Domenico ;
Binkley, Neil ;
Lamdry, Donald W. ;
Giustina, Andrea .
EUROPEAN JOURNAL OF ENDOCRINOLOGY, 2020, 183 (05) :R133-R147
[4]   Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study [J].
Cariou, Bertrand ;
Hadjadj, Samy ;
Wargny, Matthieu ;
Pichelin, Matthieu ;
Al-Salameh, Abdallah ;
Allix, Ingrid ;
Amadou, Coralie ;
Arnault, Gwenaelle ;
Baudoux, Florence ;
Bauduceau, Bernard ;
Borot, Sophie ;
Bourgeon-Ghittori, Muriel ;
Bourron, Olivier ;
Boutoille, David ;
Cazenave-Roblot, France ;
Chaumeil, Claude ;
Cosson, Emmanuel ;
Coudol, Sandrine ;
Darmon, Patrice ;
Disse, Emmanuel ;
Ducet-Boiffard, Amelie ;
Gaborit, Benedicte ;
Joubert, Michael ;
Kerlan, Veronique ;
Laviolle, Bruno ;
Marchand, Lucien ;
Meyer, Laurent ;
Potier, Louis ;
Prevost, Gaetan ;
Riveline, Jean-Pierre ;
Robert, Rene ;
Saulnier, Pierre-Jean ;
Sultan, Ariane ;
Thebaut, Jean-Francois ;
Thivolet, Charles ;
Tramunt, Blandine ;
Vatier, Camille ;
Roussel, Ronan ;
Gautier, Jean-Francois ;
Gourdy, Pierre .
DIABETOLOGIA, 2020, 63 (08) :1500-1515
[5]   Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study [J].
Clift, Ash K. ;
Coupland, Carol A. C. ;
Keogh, Ruth H. ;
Diaz-Ordaz, Karla ;
Williamson, Elizabeth ;
Harrison, Ewen M. ;
Hayward, Andrew ;
Hemingway, Harry ;
Horby, Peter ;
Mehta, Nisha ;
Benger, Jonathan ;
Khunti, Kamlesh ;
Spiegelhalter, David ;
Sheikh, Aziz ;
Valabhji, Jonathan ;
Lyons, Ronan A. ;
Robson, John ;
Semple, Malcolm G. ;
Kee, Frank ;
Johnson, Peter ;
Jebb, Susan ;
Williams, Tony ;
Hippisley-Cox, Julia .
BMJ-BRITISH MEDICAL JOURNAL, 2020, 371
[6]   Measuring disadvantage: Changes in the underprivileged area, Townsend, and Carstairs scores 1981-91 [J].
Dolan, SA ;
Jarman, B ;
Bajekal, M ;
Davies, PM ;
Hart, D .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 1995, 49 :S30-S33
[7]   Type 1 Diabetes and COVID-19: Preliminary Findings From a Multicenter Surveillance Study in the US [J].
Ebekozien, Osagie A. ;
Noor, Nudrat ;
Gallagher, Mary Pat ;
Alonso, G. Todd .
DIABETES CARE, 2020, 43 (08) :E83-E85
[8]   Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study [J].
Hippisley-Cox, Julia ;
Coupland, Carol A. C. ;
Mehta, Nisha ;
Keogh, Ruth H. ;
Diaz-Ordaz, Karla ;
Khunti, Kamlesh ;
Lyons, Ronan A. ;
Kee, Frank ;
Sheikh, Aziz ;
Rahman, Shamim ;
Valabhji, Jonathan ;
Harrison, Ewen M. ;
Sellen, Peter ;
Haq, Nazmus ;
Semple, Malcolm G. ;
Johnson, Peter W. M. ;
Hayward, Andrew ;
Nguyen-Van-Tam, Jonathan S. .
BMJ-BRITISH MEDICAL JOURNAL, 2021, 374
[9]  
Horby P, 2021, NEW ENGL J MED, V384, P693, DOI [10.1056/NEJMoa2022926, 10.1056/NEJMoa2021436]
[10]   COVID-19: A review of therapeutic strategies and vaccine candidates [J].
Izda, Vladislav ;
Jeffries, Matlock A. ;
Sawalha, Amr H. .
CLINICAL IMMUNOLOGY, 2021, 222