Evidence map›Paper›PMID 40838603›Full record

ArticleEuropean journal of public health2025

Assessing the impact of chronic respiratory diseases on COVID-19 in-hospital mortality in the Italian population: a comparative study.

Silvia Fattori, Giovanna Jona Lasinio, Marco Alfò, Graziano Onder, Giada Minelli

Abstract readComparative Study
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Silvia FattoriDepartment of Statistical Sciences, La Sapienza University, Rome, Italy.ORCID 0009-0008-6118-5906
Giovanna Jona LasinioDepartment of Statistical Sciences, La Sapienza University, Rome, Italy.
Marco AlfòDepartment of Statistical Sciences, La Sapienza University, Rome, Italy.
Graziano OnderDepartment of Geriatrics and Orthopaedic Sciences, Fondazione Policlinico Agostino Gemelli IRCSS, Rome, Italy.
Giada MinelliStatistical Service, Istituto Superiore di Sanità, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has severely impacted Italy, leading to millions of cases and high mortality rates. Pre-existing chronic respiratory diseases may influence patient outcomes, and understanding their role is essential for improving healthcare strategies during such crises. This study analysed data from the Italian hospital discharge records database to explore the association between chronic respiratory diseases and in-hospital mortality due to COVID-19. Patients hospitalized in 2020 were studied, with exposure to respiratory diseases assessed based on hospitalizations between 2010 and 2019. Cox regression models were used to adjust for demographic and clinical factors, including age, gender, and comorbidity. Patients with pre-existing chronic respiratory diseases (n = 28 375, 13.9% of the total study population of 203 820) had a 71% higher risk (hazard ratio: 1.71, confidence interval: 1.54-1.90, P < .001) of in-hospital mortality compared to those without such conditions. Age, gender, the number of previous hospitalizations, and the Charlson comorbidity index were identified as key factors in mortality. Kaplan-Meier survival curves demonstrated significant differences in survival probabilities between exposed and unexposed groups across various age categories. Chronic respiratory diseases are associated with increased COVID-19 mortality, underscoring the need for targeted interventions in vulnerable populations to reduce the impact of future pandemics.

Indexed as

COVID-19Hospital MortalityRespiratory Tract DiseasesAdultAgedAged, 80 and overChronic DiseaseComorbidityFemaleHospitalizationHumansItalyMaleMiddle AgedRisk FactorsSARS-CoV-2

Identifiers

PMID40838603
PMCPMC12529261

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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.