Literature DB >> 36261811

The association between macrovascular complications and intensive care admission, invasive mechanical ventilation, and mortality in people with diabetes hospitalized for coronavirus disease-2019 (COVID-19).

Gemma Llauradó1,2, Bogdan Vlacho3,4, Matthieu Wargny5,6, Yue Ruan7,8, Dídac Mauricio9,10, Josep Franch-Nadal2,3,11, Pere Domingo12, Pierre Gourdy13, Pierre-Jean Saulnier14, Samy Hadjadj5, Sarah H Wild15, Rustam Rea7,8, Bertrand Cariou5, Kamlesh Khunti16.   

Abstract

BACKGROUND: It is not clear whether pre-existing macrovascular complications (ischemic heart disease, stroke or peripheral artery disease) are associated with health outcomes in people with diabetes mellitus hospitalized for COVID-19.
METHODS: We conducted cohort studies of adults with pre-existing diabetes hospitalized for COVID-19 infection in the UK, France, and Spain during the early phase of the pandemic (between March 2020-October 2020). Logistic regression models adjusted for demographic factors and other comorbidities were used to determine associations between previous macrovascular disease and relevant clinical outcomes: mortality, intensive care unit (ICU) admission and use of invasive mechanical ventilation (IMV) during the hospitalization. Output from individual logistic regression models for each cohort was combined in a meta-analysis.
RESULTS: Complete data were available for 4,106 (60.4%) individuals. Of these, 1,652 (40.2%) had any prior macrovascular disease of whom 28.5% of patients died. Mortality was higher for people with compared to those without previous macrovascular disease (37.7% vs 22.4%). The combined crude odds ratio (OR) for previous macrovascular disease and mortality for all four cohorts was 2.12 (95% CI 1.83-2.45 with an I2 of 60%, reduced after adjustments for age, sex, type of diabetes, hypertension, microvascular disease, ethnicity, and BMI to adjusted OR 1.53 [95% CI 1.29-1.81]) for the three cohorts. Further analysis revealed that ischemic heart disease and cerebrovascular disease were the main contributors of adverse outcomes. However, proportions of people admitted to ICU (adjOR 0.48 [95% CI 0.31-0.75], I2 60%) and the use of IMV during hospitalization (adjOR 0.52 [95% CI 0.40-0.68], I2 37%) were significantly lower for people with previous macrovascular disease.
CONCLUSIONS: This large multinational study of people with diabetes mellitus hospitalized for COVID-19 demonstrates that previous macrovascular disease is associated with higher mortality and lower proportions admitted to ICU and treated with IMV during hospitalization suggesting selective admission criteria. Our findings highlight the importance correctly assess the prognosis and intensive monitoring in this high-risk group of patients and emphasize the need to design specific public health programs aimed to prevent SARS-CoV-2 infection in this subgroup.
© 2022. The Author(s).

Entities:  

Keywords:  COVID-19; Diabetes; Macrovascular disease; Mortality

Mesh:

Year:  2022        PMID: 36261811      PMCID: PMC9580453          DOI: 10.1186/s12933-022-01657-8

Source DB:  PubMed          Journal:  Cardiovasc Diabetol        ISSN: 1475-2840            Impact factor:   8.949


  26 in total

1.  Diabetes as a cause of death across different COVID-19 epidemic waves.

Authors:  Ugo Fedeli; Veronica Casotto; Elena Schievano; Enzo Bonora; Giacomo Zoppini
Journal:  Diabetes Res Clin Pract       Date:  2022-07-06       Impact factor: 8.180

Review 2.  COVID-19 in people with diabetes: understanding the reasons for worse outcomes.

Authors:  Matteo Apicella; Maria Cristina Campopiano; Michele Mantuano; Laura Mazoni; Alberto Coppelli; Stefano Del Prato
Journal:  Lancet Diabetes Endocrinol       Date:  2020-07-17       Impact factor: 32.069

3.  Estimates of the severity of coronavirus disease 2019: a model-based analysis.

Authors:  Robert Verity; Lucy C Okell; Ilaria Dorigatti; Peter Winskill; Charles Whittaker; Natsuko Imai; Gina Cuomo-Dannenburg; Hayley Thompson; Patrick G T Walker; Han Fu; Amy Dighe; Jamie T Griffin; Marc Baguelin; Sangeeta Bhatia; Adhiratha Boonyasiri; Anne Cori; Zulma Cucunubá; Rich FitzJohn; Katy Gaythorpe; Will Green; Arran Hamlet; Wes Hinsley; Daniel Laydon; Gemma Nedjati-Gilani; Steven Riley; Sabine van Elsland; Erik Volz; Haowei Wang; Yuanrong Wang; Xiaoyue Xi; Christl A Donnelly; Azra C Ghani; Neil M Ferguson
Journal:  Lancet Infect Dis       Date:  2020-03-30       Impact factor: 25.071

4.  Clinical Characteristics of COVID-19 Patients in a Regional Population With Diabetes Mellitus: The ACCREDIT Study.

Authors:  Daniel Kevin Llanera; Rebekah Wilmington; Haika Shoo; Paulo Lisboa; Ian Jarman; Stephanie Wong; Jael Nizza; Dushyant Sharma; Dhanya Kalathil; Surya Rajeev; Scott Williams; Rahul Yadav; Zubair Qureshi; Ram Prakash Narayanan; Niall Furlong; Sam Westall; Sunil Nair
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-13       Impact factor: 5.555

5.  Covid-19 pandemic, diabetes and glycemic control: Results of a retrospective cohort study of 230.000 persons with diabetes in tuscany.

Authors:  Benedetta Bellini; Besmir Nreu; Paolo Francesconi; Edoardo Mannucci
Journal:  Nutr Metab Cardiovasc Dis       Date:  2022-08-06       Impact factor: 4.666

6.  Statins and clinical outcomes in hospitalized COVID-19 patients with and without Diabetes Mellitus: a retrospective cohort study with propensity score matching.

Authors:  Prateek Lohia; Shweta Kapur; Sindhuri Benjaram; Zachary Cantor; Navid Mahabadi; Tanveer Mir; M Safwan Badr
Journal:  Cardiovasc Diabetol       Date:  2021-07-10       Impact factor: 9.951

7.  Prevalence of co-morbidities and their association with mortality in patients with COVID-19: A systematic review and meta-analysis.

Authors:  Awadhesh K Singh; Clare L Gillies; Ritu Singh; Akriti Singh; Yogini Chudasama; Briana Coles; Sam Seidu; Francesco Zaccardi; Melanie J Davies; Kamlesh Khunti
Journal:  Diabetes Obes Metab       Date:  2020-07-16       Impact factor: 6.408

8.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

9.  Factors associated with COVID-19-related death using OpenSAFELY.

Authors:  Elizabeth J Williamson; Alex J Walker; Krishnan Bhaskaran; Seb Bacon; Chris Bates; Caroline E Morton; Helen J Curtis; Amir Mehrkar; David Evans; Peter Inglesby; Jonathan Cockburn; Helen I McDonald; Brian MacKenna; Laurie Tomlinson; Ian J Douglas; Christopher T Rentsch; Rohini Mathur; Angel Y S Wong; Richard Grieve; David Harrison; Harriet Forbes; Anna Schultze; Richard Croker; John Parry; Frank Hester; Sam Harper; Rafael Perera; Stephen J W Evans; Liam Smeeth; Ben Goldacre
Journal:  Nature       Date:  2020-07-08       Impact factor: 49.962

10.  Serology-informed estimates of SARS-CoV-2 infection fatality risk in Geneva, Switzerland.

Authors:  Javier Perez-Saez; Stephen A Lauer; Laurent Kaiser; Simon Regard; Elisabeth Delaporte; Idris Guessous; Silvia Stringhini; Andrew S Azman
Journal:  Lancet Infect Dis       Date:  2020-07-14       Impact factor: 25.071

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