Evidence map›Paper›PMID 41199377›Full record

ArticlePopulation health metrics2025

Chronic respiratory diseases risk during the COVID-19 pandemic: an integrated modelling approach based on hospital records across 30 countries.

Cui Zhou, Jing Gao, Pia Lindberg, Chutian Zhang, Yuchen Wang, Jian Ma, Åsa M Wheelock, Lei Xu

Abstract read
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Article in Population health metrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Cui Zhou *Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Jing Gao *Vanke School of Public Health, Tsinghua University, Beijing, 100084, China. jing.gao@ki.se.
Pia LindbergDepartment of Respiratory Medicine and Allergy, and Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
Chutian ZhangVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Yuchen WangVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Jian MaVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Åsa M WheelockDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden. asa.wheelock@ki.se.
Lei XuVanke School of Public Health, Tsinghua University, Beijing, 100084, China. xu_lei@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, there are significant inequalities in risk for chronic respiratory disease patients with COVID-19 (CRD-COVID), and a comprehensive understanding of its determinants and their interactions is needed. This study quantified individual, environmental, and viral risks that impact hospital admission severity and survival outcomes in CRD-COVID patients utilizing multinational hospital records.

methodsWe analysed data on CRD-COVID from the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) dataset, covering January 2020 to July 2022 across 30 countries. The cohort included COVID-19 patients with asthma (Asthma, n = 36,365), chronic pulmonary disease (CPD, n = 36,332), and asthma-CPD overlap (ACO, n = 16,061). We matched these patients with their prehospital environmental and viral risk factors. The primary outcome was admission severity, which we assessed using generalised linear mixed models (GLMM), and GPBoost with Shapley Additive Explanations (SHAP) algorithm. The secondary outcome was 28-day mortality, evaluated using Cox regression and K-medoids clustering.

resultsThe rates of severe admissions and 28-day mortality were 33.7% and 16.4% for the asthma cohort, 30.1% and 31.6% for the CPD cohort, and 15.9% and 25.8% for the ACO cohort, respectively. Common key risk factors impacting admission severity in CRD-COVID patients include age, sex, comorbidities, humidity, precipitation, and O

conclusionThe impact of prehospital individual, environmental, and viral risk on the severity of CRD-COVID patients was heterogeneous. Older people exposed to low humidity were at greatest risk.

Indexed as

AsthmaCOVID-19AdultAgedChronic DiseaseFemaleHospitalizationHumansMaleMiddle AgedRisk FactorsSARS-CoV-2Severity of Illness IndexAsthmaChronic respiratory diseaseCOVID-19Prehospital riskRisk stratification

Identifiers

PMID41199377
PMCPMC12593867

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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.