ArticleJournal of thoracic disease2025
Identification of risk factors for malnutrition in patients with severe pneumonia and development of a predictive model to guide personalized enteral nutrition care.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Risk factors for malnutrition and its impact on prognosis in patients with severe pneumonia.Frontiers in nutrition · 2026Article
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4 authors.
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Abstract
Background: Malnutrition is a frequent complication in patients with severe pneumonia, contributing to impaired immune function, delayed recovery, and increased morbidity and mortality. Early identification of patients at risk is critical for implementing timely nutritional support. However, evidence regarding the risk factors for malnutrition in severe pneumonia remains limited, and no predictive tools are currently available to guide individualized nutritional care. This study aimed to identify the independent risk factors for malnutrition in patients with severe pneumonia and to develop a predictive model that can support personalized enteral nutrition (EN) strategies. Methods: This retrospective study included 150 patients with severe pneumonia (May 2023 to Feburary 2025), who were divided into two groups based on their Mini Nutritional Assessment (MNA) scores: the normal nutrition group (MNA score ≥24, n=87) and the malnutrition group (MNA score <24, n=63). Clinical and demographic data were compared between groups. Binary logistic regression identified independent risk factors for malnutrition in severe pneumonia, which were used to construct a nomogram in R. Model performance was assessed using receiver operating characteristic (ROC) and calibration curves. Results: Gut microbiota imbalance, smoking, low per capita monthly household income (<3,000 yuan), and older age were independent risk factors for malnutrition in severe pneumonia. Higher body mass index (BMI) and serum albumin (ALB) were protective factors; given that ALB is affected by inflammation, this association should not be interpreted as a direct marker of nutritional status. The nomogram showed excellent discrimination [area under the curve (AUC) =0.974, 95% confidence interval (CI): 0.954-0.994] and good calibration (Chi-squared =3.645, P=0.056; absolute error =0.027). Conclusions: The nomogram may be a useful tool to predict malnutrition risk in patients with severe pneumonia; external validation in independent cohorts is warranted before clinical adoption.
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