Evidence mapPaperPMID 41676310Full record

ArticleAmerican journal of translational research2026

Correlation between preoperative nutritional status and postoperative clinical outcomes in patients undergoing artificial hip and knee replacement.

Yongjie Cai, Hong Zhang, Jianling Yang, Junfu Huang, Yong Yin

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Article in American journal of translational research, 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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5 · Who and what money

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5 authors.

Yongjie CaiDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital Chengdu 611730, Sichuan, China.
Hong ZhangDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital Chengdu 611730, Sichuan, China.
Jianling YangDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital Chengdu 611730, Sichuan, China.
Junfu HuangDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital Chengdu 611730, Sichuan, China.
Yong YinDepartment of Orthopedics, The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital Chengdu 611730, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effect of prognostic nutritional index (PNI) on the clinical outcome of patients undergoing total hip/knee arthroplasty (THA/TKA), and to construct a nomogram prediction model.

methodA retrospective analysis was performed on 504 patients who underwent THA/TKA at The Third Affiliated Hospital of Chengdu Medical College, Pidu District People's Hospital from January 2020 to January 2025. Among them, 379 patients treated between January 2020 and January 2024 were used for model construction and internal validation, and 125 patients treated from February 2024 to January 2025 were used for external validation. Univariate and multivariate Logistic regression analyses were used to identify the independent risk factors for the clinical outcomes of patients, based on which a nomogram prediction model was established.

resultA total of 71 patients (14.09%) experienced adverse clinical outcomes. Multivariate analysis showed that T2DM and disease duration ≥ 10 years were independent risk factors for poor outcomes in THA/TKA patients (all P < 0.05). Higher WOMAC scores were associated with increased risk of adverse outcomes, while higher PNI levels were associated with reduced risk (both P < 0.05). Internal validation demonstrated good discrimination and calibration of the nomogram. In external validation, the sensitivity, specificity, and accuracy of the prediction model were 96.36% (106/110), 66.67% (10/15), and 92.80% (116/125), respectively.

conclusionA low preoperative PNI level may increase the risk of poor outcomes in THA/TKA patients. The nomogram model incorporating PNI, T2DM, disease duration, and WOMAC score provides good reference for clinical assessment of postoperative risk.

Indexed as

logisticnomogramprognostic nutritional indexTotal hip/knee arthroplasty

Identifiers

PMID41676310
PMCPMC12886099

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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 Socratic graph.