Evidence map›Paper›PMID 41978615›Full record

ArticleInfection and drug resistance2026

K-Means Cluster Identification of Nutritional Phenotypes in Patients with Nontuberculous Mycobacterial Pulmonary Disease and Correlation Analysis with Runyon Classification.

Meng Hua, Tiantian Zhang, Feng Zhu, Yu Ding

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Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Meng Hua *Department of Respiratory and Critical Care Medicine, Affiliated Wuxi Fifth Hospital of Jiangnan University, Wuxi Fifth People's Hospital, Wuxi, 214000, People's Republic of China.
Tiantian Zhang *Department of Tuberculosis, Huai'an Fourth People's Hospital, Huai'an, 223002, People's Republic of China.
Feng Zhu *Department of Respiratory and Critical Care Medicine, Affiliated Wuxi Fifth Hospital of Jiangnan University, Wuxi Fifth People's Hospital, Wuxi, 214000, People's Republic of China.ORCID 0000-0002-4330-0789
Yu DingDepartment of Medical Laboratory, the Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.

Funding

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6 · The paper itself

Abstract

Background and Aims: To explore nutritional heterogeneity among patients with nontuberculous mycobacterial (NTM) pulmonary disease by identifying nutritional phenotypes using K-means clustering, and to compare nutritional and inflammatory markers, Runyon classification, and comorbidities across phenotypes. Methods: A retrospective analysis of 457 patients diagnosed with NTM pulmonary disease was conducted. Nine nutritional and inflammatory indicators were collected: body mass index (BMI), hemoglobin (HGB), lymphocyte count (LY), C-reactive protein (CRP), prealbumin (PAB), albumin (ALB), total protein (TP), triglycerides (TG), and total cholesterol (TC). The candidate clusters were initially evaluated using the elbow method and silhouette scores. In the absence of a distinct inflection point in the elbow method, the solution with the highest silhouette coefficient was regarded as the most compact candidate solution. An exploratory final clustering scheme was then determined by further incorporating bootstrap internal stability analysis and clinical interpretability. Subsequently, nutritional and inflammatory profiles, Runyon classification (Groups I and III), and comorbidity distributions were compared among phenotypes. Ordinal logistic regression analysis was employed to identify factors associated with nutritional phenotype grade. Results: Four nutritional phenotypes were identified: Healthy-Low Inflammation (24.5%), Hyperlipidemic-Well-nourished (18.8%), Lean-Moderate Inflammation (42.5%), and Severely Emaciated-High Inflammation (14.2%). Significant differences existed in nutritional and inflammatory markers (all P<0.001). The Severely Emaciated-High Inflammation type exhibited the lowest BMI, HGB, ALB, and TP levels; highest CRP level; highest proportion of Runyon Group III [mainly represented by the Conclusion: Nutritional status in patients with NTM pulmonary disease shows significant heterogeneity closely associated with inflammation, bacterial strain type, and comorbidities. The Severely Emaciated-High Inflammation type exhibited the most unfavorable nutritional-inflammatory profile, suggesting that early identification, nutritional assessment, and comprehensive intervention should be strengthened clinically for such patients.

Indexed as

inflammatory responseK-means clusteringmalnutritionnontuberculous mycobacterial pulmonary diseasenutritional phenotypeRunyon classification

Identifiers

PMID41978615
PMCPMC13070409

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