SynthesisJournal of the Royal Society of Medicine2024
COVID-19-related morbidity and mortality in people with multiple long-term conditions: a systematic review and meta-analysis of over 4 million people.
Synthesis in Journal of the Royal Society of Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The trial behind it
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Who cites it
6 citing papers in PubMed.
- Understanding the impact of Multiple Long-Term Conditions (MLTC) on the completion of delirium screening documentation: analysis using routinely collected clinical data.European geriatric medicine · 2026Article
- Article
- Association between the number of comorbidities and all-cause mortality during the COVID-19 pandemic: A Danish nationwide, retrospective cohort study.Journal of public health research · 2026Article
- Clinical outcomes and predictive modeling in COVID-19 patients with type 2 diabetes mellitus: a multicenter retrospective cohort study.BMC infectious diseases · 2025Article
- Comorbidities and Severe COVID-19 Outcomes: A Retrospective Analysis of Hospitalized Patients in Three Counties in Romania.Microorganisms · 2025Article
- Better health for vulnerable groups, better health for all.Journal of the Royal Society of Medicine · 2024Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo describe the direct impact of coronavirus disease 2019 (COVID-19) infection on morbidity and mortality in people with multiple long-term conditions (MLTCs).
designA systematic review and meta-analysis including observational studies.
settingStudies conducted between 1 January 2020 and 4 May 2023 across 51 countries were identified from five databases.
participantsA total of 4,084,469 patients with confirmed COVID-19 infection.
main outcome measuresPooled risk ratios (RRs) for mortality, hospitalisation, severe disease, intensive care unit (ICU) admission and mechanical ventilation were estimated with random effect meta-analysis models.
resultsA 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 (
conclusionsPublic health policies, clinical and preventative interventions should prioritise people with MLTCs to minimise direct adverse outcomes from COVID-19 disease.
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