Evidence map›Paper›PMID 42087084›Full record

ArticleBMC nephrology2026

Difference in risk profiles for pulmonary hypertension between non-elderly and elderly patients undergoing maintenance hemodialysis.

Zhen Ai, Qingling Jia, Suiqin Wen, Ying Zhu, DiHua Zhang, Raoping Wang, Jianhua Wu, Yuanwen Xu

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Article in BMC nephrology, 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

8 authors.

Zhen Ai *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China.
Qingling Jia *Department of Nephrology, The Ninth People's Hospital of Chongqing, Chongqing, China.
Suiqin WenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China.
Ying ZhuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China.
DiHua ZhangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China.
Raoping WangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China.
Jianhua WuDepartment of Nephrology and Rheumatology, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-sen University, 186th Zhongxing North Road, Daya Bay District, Huizhou, Guangdong, 516081, China. wujianhuasara@163.com.
Yuanwen XuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, 58th Zhongshan Road II, Guangzhou, Guangdong, 510080, China. xuyw@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary hypertension (PH) is highly prevalent and associated with increased mortality in patients undergoing maintenance hemodialysis (MHD). This study aimed to explore the disparities in the prevalence, risk factors, and prognostic impacts of PH between non-elderly and elderly MHD patients.

methodsThis study included 179 MHD patients with complete clinical records. All patients were evaluated using Doppler echocardiography, and PH was defined as a pulmonary artery systolic pressure > 35 mmHg.

resultsThe prevalence rates of PH were 24.8% in non-elderly patients and 33.8% in elderly patients. Serum N-terminal pro-brain natriuretic peptide (NT-proBNP) was a predominant risk factor for PH in hemodialysis patients. A lower ratio of uric acid to high-density lipoprotein (UHR) was associated with PH among non-elderly patients, whereas diabetes mellitus served as a specific risk factor for elderly patients. The areas under the receiver operating characteristic curves of these risk factors identified in non-elderly and elderly patients were 0.86 (bootstrap 95% confidence interval (CI) 0.78-0.93) and 0.90 (bootstrap 95% CI 0.82-0.97), respectively. During a median follow-up duration of 32.90 (4.00-61.50) months, the presence of PH notably elevated the risk of all-cause mortality and cardiovascular hospitalization in both non-elderly and elderly patients. Meanwhile, it significantly augmented the risk of all-cause hospitalization (HR: 2.24, 95% CI 1.26-3.98, P = 0.006) in the non-elderly.

conclusionsDistinct risk profiles for PH were identified between non-elderly and elderly MHD patients, offering valuable clinical data for the development of early detection and prevention strategies based on age stratification.

Indexed as

Hypertension, PulmonaryKidney Failure, ChronicRenal DialysisAgedAge FactorsEchocardiography, DopplerFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsPrevalenceRisk FactorsNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)ElderlyHemodialysisNon-elderlyPulmonary hypertensionRisk profiles

Identifiers

PMID42087084
PMCPMC13312549

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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.