Diagnostic accuracy of Bellavere's score in cardiac autonomic neuropathy among chronic kidney disease patients: a study of prevalence and dialysis impact.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL Frontiers in Medicine Pub Date : 2025-01-10 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1514214
Saket Satyasham Toshniwal, Sunil Kumar, Sourya Acharya, Abhishek Ghali, Sarang Raut, Vinit Deolikar, Harshitha Reddy, Palash Kotak, Anil Wanjari, Shilpa Bawankule
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Abstract

Background: Cardiac autonomic neuropathy (CAN) is a significant complication in chronic kidney disease (CKD), leading to increased morbidity and mortality. Early detection is essential for managing CKD patients effectively, especially those on hemodialysis. This study evaluated the prevalence CAN in CKD and diagnostic accuracy of Bellavere's Score in predicting CAN in CKD patients, including those undergoing hemodialysis.

Methods: This prospective observational study included 200 CKD patients. Cardiac autonomic neuropathy was assessed using Bellavere's Score, calculated through a series of autonomic function tests including heart rate variability and blood pressure responses. Bellavere's Score was measured pre-and post-dialysis in hemodialysis patients. The diagnostic performance of the score was evaluated using receiver operating characteristic (ROC) curves to determine sensitivity, specificity, and likelihood ratios.

Results: Among the patients, 60% were diagnosed with CAN, with 35% having early CAN and 24% severe CAN. Bellavere's Score showed high diagnostic accuracy across CKD stages, with sensitivity ranging from 75 to 89.29% and specificity from 69.09 to 96%. In CKD stage III patients, the sensitivity was 78.57% and specificity 91.4%. In stage V, sensitivity increased to 89.29%, though specificity dropped to 69.09%. For hemodialysis patients, Bellavere's Score exhibited a sensitivity of 79.78% and specificity of 79.28%. The prevalence of CAN decreased significantly from 79.8% pre-dialysis to 64% post-dialysis (p < 0.01).

Conclusion: Bellavere's Score provides a reliable and non-invasive approach for diagnosing CAN in CKD patients, with strong diagnostic performance across different disease stages and in hemodialysis. Larger studies are warranted to further validate its utility.

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慢性肾病患者心脏自主神经病变的Bellavere评分诊断准确性:患病率和透析影响的研究
背景:心脏自主神经病变(CAN)是慢性肾脏疾病(CKD)的重要并发症,导致发病率和死亡率增加。早期发现对于有效管理CKD患者至关重要,特别是那些进行血液透析的患者。本研究评估了慢性肾病患者CAN的患病率,以及贝拉弗评分(Bellavere’s Score)预测慢性肾病患者(包括接受血液透析的患者)CAN的诊断准确性。方法:本前瞻性观察研究纳入200例CKD患者。心脏自主神经病变采用Bellavere评分进行评估,该评分通过一系列自主神经功能测试计算,包括心率变异性和血压反应。测量血液透析患者透析前后的Bellavere评分。使用受试者工作特征(ROC)曲线评估评分的诊断性能,以确定敏感性、特异性和似然比。结果:60%的患者确诊为CAN,其中35%为早期CAN, 24%为重度CAN。Bellavere's Score在CKD分期中具有较高的诊断准确性,敏感性为75 - 89.29%,特异性为69.09 - 96%。在CKD III期患者中,敏感性为78.57%,特异性为91.4%。V期敏感性上升至89.29%,特异性下降至69.09%。对于血液透析患者,Bellavere’s Score的敏感性为79.78%,特异性为79.28%。结论:Bellavere评分为CKD患者诊断CAN提供了一种可靠的、无创的方法,在不同疾病阶段和血液透析中均具有较强的诊断效能。需要更大规模的研究来进一步验证其效用。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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