Evidence map›Paper›PMID 41473161›Full record

ArticleFrontiers in medicine2025

Analysis of prognostic prediction and nursing intervention value in PD patients based on nomogram model.

Yugang Cao, Tao Fang, Jun Guo, Xun Hu, Jin Yang

Abstract read
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Article in Frontiers in medicine, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yugang CaoHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Department of Hepatobiliary Surgery, Huangshi Central Hospital, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China.
Tao FangHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Department of Hepatobiliary Surgery, Huangshi Central Hospital, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China.
Jun GuoHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Department of Hepatobiliary Surgery, Huangshi Central Hospital, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China.
Xun HuHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Department of Hepatobiliary Surgery, Huangshi Central Hospital, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China.
Jin YangHubei Key Laboratory for Kidney Disease Pathogenesis and Intervention, Department of Hepatobiliary Surgery, Huangshi Central Hospital, Hubei Polytechnic University School of Medicine, Huangshi, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the independent risk factors for technical survival in patients undergoing peritoneal dialysis (PD), construct a nomogram model for predicting 1-, 3-, and 5-year technical survival rates, and validate the clinical value of nursing interventions in improving PD patients' prognosis. Methods: A retrospective cohort study was conducted on 475 patients with end-stage renal disease (ESRD) who received PD at Huangshi Central Hospital from February 2010 to April 2025. Patients were randomly divided into a training group ( Results: Spearman correlation analysis showed that PD duration was negatively correlated with age, body mass index (BMI), fasting blood glucose, serum creatinine (Scr), peritonitis, catheter-related complications, Self-Rating Depression Scale (SDS) score, and Self-Rating Anxiety Scale (SAS) score, while positively correlated with years of education, DUV, albumin level, number of primary caregivers, and frequency of health education (all Conclusion: The constructed nomogram can accurately predict the 1-, 3-, and 5-year technical survival rates of PD patients. Enhanced health education (≥1 session/month), optimized caregiving support systems, improved psychological conditions, and narrowed urban-rural disparities in healthcare resources are effective nursing interventions to improve the technical survival outcomes of PD patients.

Indexed as

nomogramnursing interventionperitoneal dialysisprognostic predictiontechnical survival

Identifiers

PMID41473161
PMCPMC12745274

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