ArticleGeriatrics & gerontology international2022
Nomogram for predicting in-hospital mortality of nonagenarians with community-acquired pneumonia.
Article in Geriatrics & gerontology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Applications of the Early Warning Score as an outcome measure: a systematic review of methodologies.BMJ health & care informatics · 2026Pooled it
- Utility of pneumonia severity assessment tools for mortality prediction in healthcare-associated pneumonia: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- A Machine Learning Model Integrating Systemic Immune-Inflammation Index for Predicting 28-Day Mortality in Geriatric Sepsis Secondary to Community-Acquired Bacterial Pneumonia.Clinical interventions in aging · 2026Article
- Clinical characteristics and risk factors of hospital mortality in elderly patients with community-acquired pneumonia.Frontiers in medicine · 2025Article
- Article
- Combining a Frailty Index Based on Laboratory Data and Pneumonia Severity Assessments to Predict In-Hospital Outcomes in Older Adults with Community-Acquired Pneumonia.The journal of nutrition, health & aging · 2023Article
- Risk factors and nomogram-based prediction of the risk of limb weakness in herpes zoster.Frontiers in neuroscience · 2023Article
- Nomogram for predicting in-hospital mortality of nonagenarians with community-acquired pneumonia.Geriatrics & gerontology international · 2022Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
aimNonagenarians with community-acquired pneumonia (CAP) have a high mortality rate; however, appropriate tools for reliable severity assessment in this population are lacking. The current study aimed to evaluate the risk factors and establish a nomogram to predict in-hospital mortality of nonagenarians with CAP.
methodsIn total, 304 patients aged ≥90 years who were admitted with CAP to Jiangsu Provincial People's Hospital and Jiangsu Provincial Hospital of Chinese Medicine between 2014 and 2020 were retrospectively analyzed. Clinical information, laboratory imaging results and pathogen detection were retrieved. Significant variables independently associated with CAP were identified by a logistic regression model, and a nomogram prediction model was constructed. The nomogram was compared with the widely used assessments: CURB-65, PSI and National Early Warning Score (NEWS) scores.
resultsUnivariate and multivariate logistic regression analyses identified gender, blood urea nitrogen, C-reactive protein-to-albumin ratio, Charlson Comorbidity Index and systemic immune inflammation index as independent factors that affect the prognosis. We created a nomogram for CAP based on these risk factors. The nomogram had a bootstrapped concordance index of 0.796 and was well-calibrated in the decision analysis curve range of 0.1-0.98. The area under the curve was 0.796 (95% CI: 0.74-0.85), significantly higher than for CURB-65, PSI and NEWS scores (P < 0.05).
conclusionsOur nomogram model can predict the outcome of hospitalized nonagenarians with CAP and guide clinicians to provide better treatment, leading to improved prognosis and reduced mortality. Geriatr Gerontol Int 2022; 22: 635-641.
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