ArticleBMC infectious diseases2026
Age and comorbidity in COVID-19 mortality: a retrospective cohort study using multivariable regression and interaction analyses.
Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Comment on "Can psychological interventions affect cardiac rehabilitation patients' well-being? Preliminary results from a longitudinal study".International journal of cardiology. Cardiovascular risk and prevention · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19) has significantly increased mortality worldwide, with advanced age and comorbidity burden has been identified as a major risk factors. However, the combined effect of age and comorbidity burden on COVID-19 mortality remains unclear. This study aimed to assess the independent and interactive effects of age and comorbidity burden on in-hospital mortality from COVID-19.
methodsA retrospective cohort study was conducted among 642 laboratory-confirmed COVID-19 patients admitted to a tertiary care hospital in Belagavi, Karnataka, India, between October 2020 and September 2021. Bivariate analysis, multivariable logistic regression, and interaction analysis were performed to examine associations with mortality.
resultsPatients aged ≥ 50 years had significantly higher odds of mortality compared to those aged < 50 years (AOR = 2.01, 95% CI: 1.27-3.16, p = 0.002). Dyspnea (AOR = 2.88, 95% CI: 1.85-4.48, p < 0.001) and kidney disease (AOR = 6.56, 95% CI: 2.39-18.02, p < 0.001) were significant predictors of mortality. Blood glucose (per 10 mg/dL increase; AOR = 1.03, 95% CI: 1.01-1.05, p < 0.001) and pulse rate (per bpm increase; AOR = 1.02, 95% CI: 1.01-1.03, p < 0.001) were also significantly associated with mortality. Multimorbidity was not independently associated with mortality in the main model (AOR = 1.63, 95% CI: 0.67-4.00, p = 0.278). In the interaction model, no statistically significant interaction between age and multimorbidity was observed. However, predicted probabilities suggested a higher mortality risk among older patients with multimorbidity compared to other groups.
conclusionAdvanced age, dyspnea, kidney disease, elevated blood glucose, and pulse rate are significant predictors of COVID-19 mortality. While multimorbidity may contribute to mortality risk, no strong evidence of interaction between age and comorbidity burden was observed. These findings highlight the importance of comprehensive risk stratification using multiple clinical factors in hospitalized COVID-19 patients. CLINICAL TRIAL: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
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.