Evidence map›Paper›PMID 40999408›Full record

ArticleBMC surgery2025

Analysis of risk factors and clinical application of cardiovascular complications following lower limb joint replacement surgery in elderly patients.

Huaxing Zhang, Jingjing Cao, Jingde Jia, Jia Chen

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Article in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Huaxing ZhangMedical Service Department, Hebei General Hospital, Shijiazhuang City, Hebei, 050051, China. dreamxing2017@126.com.
Jingjing CaoDepartment of Rheumatology and Immunology, Hebei General Hospital, Shijiazhuang City, Hebei, 050051, China.
Jingde JiaDepartment of Gynecology, The Fourth Hospital of Hebei Medical University, Shijiazhuang City, Hebei, 050000, China.
Jia ChenDepartment of Orthopaedics, The First Hospital of Hebei Medical University, Shijiazhuang City, Hebei, 050000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the risk factors for cardiovascular complications following lower limb joint replacement surgery in elderly patients and to develop a risk assessment tool for clinical application to validate its efficacy.

methodsA retrospective analysis was conducted on 405 elderly patients (aged ≥ 65 years) who underwent lower limb joint replacement surgery at a hospital between January 2017 and December 2022. Statistically significant variables identified through univariate analysis were incorporated into a non-conditional binary logistic regression model for further analysis. The effectiveness of the logistic regression model was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). Based on the regression model, a risk assessment tool for cardiovascular complications post-surgery was established and clinically applied from February to July 2023 to determine criteria for identifying high-risk patients based on sensitivity and specificity.

resultsAmong the 405 patients in the retrospective study, 32 (7.90%) experienced cardiovascular complications postoperatively. Logistic regression analysis indicated that age (OR 1.98, 95% CI 1.15-3.43), body mass index (BMI) (OR 2.80, 95% CI 1.28-6.16), preoperative lipoprotein (a) (OR 1.97, 95% CI 0.90-4.35), ASA classification (OR 3.57, 95% CI 1.14-11.18), and anesthesia method (OR 0.36, 95% CI 0.18-0.71) were independent risk factors for cardiovascular complications in this population (P < 0.05). The AUC was 0.773, with a 95% confidence interval of (0.684-0.861). In the clinical application of the risk assessment tool, 5 out of 83 patients (6.02%) developed cardiovascular complications post-surgery, indicating that patients with preoperative scores exceeding 6.5 and total postoperative scores exceeding 8.5 had a significantly higher risk of complications.

conclusionThis preliminary study elucidated the risk factors for cardiovascular complications following lower limb joint replacement surgery in elderly patients and established a risk assessment tool that demonstrated promising results in initial clinical application. Further validation in larger, multi-center studies is needed before widespread implementation.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeCardiovascular DiseasesPostoperative ComplicationsAgedAged, 80 and overFemaleHumansMaleRetrospective StudiesRisk AssessmentRisk FactorsCardiovascular complicationsJoint replacementRisk factors

Identifiers

PMID40999408
PMCPMC12465218

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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.