COVID-19-related morbidity and mortality in people with multiple long-term conditions: a systematic review and meta-analysis of over 4 million people.

Epidemiology infectious diseases public health

Journal

Journal of the Royal Society of Medicine
ISSN: 1758-1095
Titre abrégé: J R Soc Med
Pays: England
ID NLM: 7802879

Informations de publication

Date de publication:
16 Oct 2024
Historique:
medline: 17 10 2024
pubmed: 17 10 2024
entrez: 16 10 2024
Statut: aheadofprint

Résumé

To describe the direct impact of coronavirus disease 2019 (COVID-19) infection on morbidity and mortality in people with multiple long-term conditions (MLTCs). A systematic review and meta-analysis including observational studies. Studies conducted between 1 January 2020 and 4 May 2023 across 51 countries were identified from five databases. A total of 4,084,469 patients with confirmed COVID-19 infection. Pooled risk ratios (RRs) for mortality, hospitalisation, severe disease, intensive care unit (ICU) admission and mechanical ventilation were estimated with random effect meta-analysis models. A total of 38,356 studies were identified and 111 included. In most (74%) of the studies, MLTCs referred to having two or more long-term conditions. Others described MLTCs by high weighted indices: the Charlson Comorbidity Index in 11% and the Clinical Frailty Score in 7%. Using the National Institutes of Health quality assessment tool for observational studies, the risk of bias was judged as low and moderate in 86 and 25 studies, respectively. Having MLTCs was associated with increased mortality (RR: 2.61 [95% CI: 2.27 to 3.0]); hospitalisation (2.4 [1.92 to 2.99]); severe disease (2.61 [1.92 to 3.54]); ICU admission (1.22 [1.07 to 1.39]) and mechanical ventilation (1.83 [1.18 to 2.84]) compared with those with no MLTCs. Pooled RRs for adverse outcomes were higher in children and young people compared with all age groups. In meta-regression analyses, men were more likely to need ICU admission ( Public health policies, clinical and preventative interventions should prioritise people with MLTCs to minimise direct adverse outcomes from COVID-19 disease.

Identifiants

pubmed: 39413816
doi: 10.1177/01410768241261507
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1410768241261507

Auteurs

Shukrat O Salisu-Olatunji (SO)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Diabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.

Yogini V Chudasama (YV)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Navjot Kaur (N)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Zara Kayani (Z)

Diabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.

Babatunde A Odugbemi (BA)

Department of Community Health and Primary Health Care, Lagos State University College of Medicine (LASUCOM), Lagos, Nigeria.
Department of Community Health and Primary Health Care, Lagos State University Teaching Hospital (LASUTH), Ikeja, Lagos, Nigeria.

Olasope Esther Bolodeoku (OE)

Department of Community Health and Primary Health Care, Lagos State University Teaching Hospital (LASUTH), Ikeja, Lagos, Nigeria.

Shirley Akua Konnor (SA)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Elpida Vounzoulaki (E)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Atanu Bhattacharjee (A)

Population Health and Genomics, Medical School, University of Dundee, Scotland, DD1 9SY, UK.

Radia Fahami (R)

Diabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.

Jonathan Valabhji (J)

NHS England and Improvement, Skipton House, London, SW1A 0AA, UK.
Division of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK.

Amitava Banerjee (A)

Institute of Health Informatics, University College London, London, WC1E 6BT, UK.

Francesco Zaccardi (F)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Clare L Gillies (CL)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.

Kamlesh Khunti (K)

Leicester Real World Evidence Unit, Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester LE5 4PW, UK.
Diabetes Research Centre, Leicester General Hospital, Department of Population Health Sciences, University of Leicester, Leicester, LE1 7RH, UK.

Classifications MeSH