ArticleTherapeutic advances in respiratory disease
A novel nomogram for predicting postoperative pneumonia risk in patients with localized bronchiectasis.
Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors for pneumonia after radical gastrectomy for gastric cancer: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- An interpretable prognostic model for early unfavorable outcomes after bronchiectasis surgery.BMC pulmonary medicine · 2026Article
- Risk factors and prediction model for chronic bacterial infection in stable bronchiectasis in Shanghai, China.Frontiers in medicine · 2026Article
- The association of the advanced lung cancer inflammation index with postoperative complications in patients undergoing lung resection for bronchiectasis.Journal of thoracic disease · 2025Article
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9 authors.
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Abstract
backgroundPneumonia is one of the most common complications after lung resection. However, there are currently no reports of postoperative pneumonia in patients with bronchiectasis.
objectivesOur study aims to construct a new nomogram to predict the risk of postoperative pneumonia in patients with localized bronchiectasis.
designThe clinical data of patients with localized bronchiectasis from April 2012 to August 2022 were retrospectively analyzed.
methodsIndependent risk factors were identified through simple linear regression and multiple linear regression analysis, and a new nomogram was constructed based on independent risk factors. The validity of the nomogram was evaluated using the consistency index (C-index), receiver operating characteristic curve, calibration chart, and decision curve analysis chart.
resultsThe new nomogram prediction model included five independent risk factors: tuberculosis history, smoking history, platelet-lymphocyte ratio (PLR), diffusing capacity of the lung for carbon monoxide, and controlled nutritional status score. The area under the curve of the prediction model is 0.870 (95% CI: 0.750-0.892), showing good discrimination ability, and the probability threshold was set at 0.2013. In addition, the calibration curve shows that the nomogram has good calibration. In the decision curve, the nomogram model showed good clinical net benefit.
conclusionThis study is the first to construct a nomogram prediction model for postoperative pneumonia of localized bronchiectasis, which can more accurately and directly assess the risk probability of postoperative pneumonia, and provide certain help for clinicians in prevention and treatment decisions.
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