Evidence map›Paper›PMID 41345572›Full record

ArticleBMC geriatrics2025

The analysis of postoperative wound healing, infection risk prediction, and nursing intervention strategies for elderly patients with lung cancer.

Biqi He, Shuangqin Chen, Yongpan Huang, Fen Xie, Baiqi He, Xuan Tang

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Article in BMC geriatrics, 2025. 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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6 authors.

Biqi He *Medical School, Changsha Social Work College, No.22, Xiangzhang Road, Changsha, Hunan Province, 410004, China.
Shuangqin Chen *Department of Neurology, Multi-Omics Research Center for Brain Disorders, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan Province, 421001, China.
Yongpan HuangMedical School, Changsha Social Work College, No.22, Xiangzhang Road, Changsha, Hunan Province, 410004, China.
Fen XieMedical School, Changsha Social Work College, No.22, Xiangzhang Road, Changsha, Hunan Province, 410004, China.
Baiqi HeCentral Sterile Supply Department, First People's Hospital of Chenzhou City, No.102, Luojiajing, Chenzhou, Hunan Province, 423000, China.
Xuan TangDepartment of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Heangyang, Hunan Province, 421001, China. tangxuan009@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer poses a significant public health challenge, particularly among the elderly population, with implications for postoperative outcomes following surgical intervention. However, the comprehensive analysis of factors affecting postoperative wound healing and infection risk, along with the impact of targeted nursing interventions, remains understudied in this patient population.

methodsThis retrospective case-control study involved elderly patients who underwent lung cancer surgery. Data on patient demographics, disease-related features, surgical and clinical parameters, postoperative biomarkers, complications, and nursing interventions were analyzed. Statistical analyses, including t-tests, chi-square tests, correlation analysis, logistic regression, and predictive value analyses, were performed to investigate the associations and predictive values of various factors with postoperative wound healing and infection risk.

resultsIn this retrospective case-control study, we compared the demographic characteristics of 197 patients with good wound healing to a group of 106 patients with poor wound healing, then the patients were divided into 275 patients in non-infected and 28 patients in infected groups based on postoperative infection status. Age and Charlson Comorbidity Index showed significance in postoperative wound healing. Disease-related features such as lung cancer stage, histological type, and diabetes mellitus were associated with wound healing and infection risk. Surgical duration, intraoperative blood loss, postoperative complications, and specific biomarkers correlated with wound healing. Postoperative complications, specifically pneumonia, atelectasis, wound infection, and pleural effusion, were more prevalent in the group with poor wound healing. Nursing interventions including early mobilization, nutritional support, pain management, and antibiotic prophylaxis were more common in the group with good wound healing.

conclusionAge, comorbidities (particularly Charlson Comorbidity Index of 5.57 versus 4.92), and advanced cancer stage were significant predictors of poor wound healing. Early mobilization (85.28% versus 70.75%), nutritional support, pain management, and antibiotic prophylaxis demonstrated protective effects against poor wound healing and infection in elderly lung cancer patients.

Indexed as

Lung NeoplasmsSurgical Wound InfectionWound HealingAgedAged, 80 and overCase-Control StudiesFemaleHumansMalePostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk FactorsInfection riskLung cancerNursing intervention strategiesPostoperativeWound healing

Identifiers

PMID41345572
PMCPMC12870946

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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.