Evidence map›Paper›PMID 41709081›Full record

ArticleNursing open2026

Development of a Nomogram-Based Prediction Model for Postoperative Delirium in Patients After Total Hip Arthroplasty: A Retrospective Cohort Study.

Hongru Zhang, Genya Shi, Tomoko Majima, Lianhong Li, Tieying Shi

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Article in Nursing open, 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 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hongru ZhangThe First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0001-7434-6870
Genya ShiThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Tomoko MajimaChiba University, Chiba, Japan.
Lianhong LiThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Tieying ShiThe First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID https://orcid.org/0000-0002-8599-3587

Funding

China Scholarship Council 202408210327Dalian Medical Science Research Project Plan 2012003
6 · The paper itself

Abstract

objectivesTo analyse risk factors for postoperative delirium (POD) in patients after total hip arthroplasty and develop a visual clinical prediction model.

designA Retrospective Cohort Study.

methodsThis study included 457 patients who received total hip arthroplasty. The clinical prediction model was developed based on the results of univariate and multivariate logistic regression analyses. The performance of the model was assessed through measures of discrimination, calibration and decision curve analysis. The final model was visualised as a nomogram. This study followed the TRIPOD checklist.

resultsA nomogram was developed based on age, total protein, fall risk and catheterisation. The model demonstrated strong discriminative power, with an AUC of 0.867. There was a strong agreement between predicted and observed outcomes, as shown by calibration analysis, while DCA supported the model's favourable clinical applicability.

conclusionsThe predictive model developed in this study showed good discriminative performance and may support early clinical risk assessment of POD in patients undergoing total hip arthroplasty. RELEVANCE TO CLINICAL PRACTICE: The importance of this research lies in shedding light on the significant impact of delirium on the health outcomes of patients after total hip arthroplasty, particularly in the short term. Guide clinical workers to identify risk factors early and improve the prognosis in patients after total hip arthroplasty. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution. WHAT DOES THIS PAPER CONTRIBUTE TO THE WIDER GLOBAL CLINICAL COMMUNITY?: Age, fall risk and catheterisation were independent risk factors for POD in patients after total hip arthroplasty; total protein levels were protective against it. This study offers nursing staff a visual, non-invasive and simple nomogram for calculating the risk probability of POD in patients underwent total hip arthroplasty. This study will help nursing staff to predict POD in patients at an early stage, and give personalised intervention measures to improve the prognosis.

Indexed as

Arthroplasty, Replacement, HipDeliriumNomogramsPostoperative ComplicationsAgedFemaleHumansMaleMiddle AgedPrediction AlgorithmsRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID41709081
PMCPMC12916454

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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 OpenQuestion graph.