Observational studyScientific reports2022
Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study.
Observational study in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies.Aging clinical and experimental research · 2024Pooled it
- Cardiometabolic multimorbidity prevalence and its socio-demographic determinants among Iranian adults: insights from the nationwide STEPS 2021.Scientific reports · 2026Article
- Changes in usual source of care utilization during the COVID-19 pandemic: a comparative analysis by chronic disease status.BMC health services research · 2026Article
- Impact of Risk Factor Combinations on Severe COVID-19 Outcomes Among Outpatients.Infectious diseases and therapy · 2026Article
- 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
- Acute SARS-CoV-2 infection.Nature reviews. Disease primers · 2025Review
- Disease network analysis to reveal comorbidity patterns in hospitalized patients with COPD using large-scale administrative health data.Scientific reports · 2025Article
- Electronic Health Records: A Gateway to AI-Driven Multimorbidity Solutions-A Comprehensive Systematic Review.Journal of clinical medicine · 2025Review
- Relationship between multimorbidity, SARS-COV-2 infection and long COVID: a cross-sectional population-based French survey.BMC medicine · 2025Article
- Impact of COVID-19 pandemic on adults and children with atopic dermatitis and food allergy: Systematic review.The journal of allergy and clinical immunology. Global · 2024Article
- Change in Code Status Orders of Hospitalized Adults With COVID-19 Throughout the Pandemic: A Retrospective Cohort Study.Journal of palliative medicine · 2023Article
- Impact of comorbidities on hospitalised Syrian patients with COVID-19: a retrospective study.BMJ open · 2023Article
- Comorbidities, multimorbidity and COVID-19.Nature medicine · 2023Review
- Multimorbidity Profiles and Infection Severity in COVID-19 Population Using Network Analysis in the Andalusian Health Population Database.International journal of environmental research and public health · 2022Article
- An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Vaccine-based clinical protection against SARS-CoV-2 infection and the humoral immune response: A 1-year follow-up study of patients with multiple sclerosis receiving ocrelizumab.Frontiers in immunology · 2022Article
- Health Priorities of Multi-Morbid Ambulatory Patients in New York City During the COVID-19 Pandemic: A Qualitative Analysis.International journal of general medicine · 2022Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 3 countries.
Funding
Abstract
A major risk factor of COVID-19 severity is the patient's health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patterns, each with its particular repercussions on the clinical outcome of infected patients. Network analysis in our population revealed that not all cardiovascular patterns have the same risk of COVID-19 hospitalization or mortality and that this risk depends on the pattern of multimorbidity, besides age and sex. We evidenced that negative outcomes were strongly related to patterns in which diabetes and obesity stood out in older women and men, respectively. In younger adults, anxiety was another disease that increased the risk of severity, most notably when combined with menstrual disorders in women or atopic dermatitis in men. These results have relevant implications for organizational, preventive, and clinical actions to help meet the needs of COVID-19 patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.