血红蛋白、白蛋白、淋巴细胞和血小板评分作为上消化道出血患者死亡率和再出血的新预测因子。

IF 2.1 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
International Journal of General Medicine Pub Date : 2025-05-05 eCollection Date: 2025-01-01 DOI:10.2147/IJGM.S520925
Burcu Azapoğlu Kaymak, Merve Eksioglu, Tuba Cimilli Öztürk, Mehmet Köroğlu
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引用次数: 0

摘要

目的:上消化道出血(UGIB)具有显著的发病率和死亡率风险,需要有效的风险分层工具。传统的评分系统如Rockall (RS)、Glasgow-Blatchford (GBS)和AIMS65在准确预测死亡率和再出血方面存在局限性。血红蛋白、白蛋白、淋巴细胞、血小板(HALP)评分最初是为癌症预后而开发的,现已证明在各种情况下具有预后价值。本研究旨在评估入院时评估的HALP评分是否与Rockall评分一致,并可用于预测UGIB患者的再出血和30天死亡率。患者和方法:本回顾性研究纳入了2017年至2024年土耳其伊斯坦布尔一家三级医院收治的256例确诊UGIB患者。收集患者资料,包括人口统计学、生命体征、实验室参数、内窥镜检查结果和临床结果。在进入急诊科时计算HALP评分。ROC曲线分析评估HALP评分对30天死亡率、再出血的预测准确性,并将其性能与Rockall评分进行比较。结果:采用ROC分析评估HALP评分和Rockall评分对30天死亡率和再出血的预测性能,预测死亡率的AUC值分别为0.772 (95% CI: 0.715-0.822)和0.770 (95% CI: 0.714-0.820) (p = 0.9801)。对于再出血预测,Rockall评分的AUC (0.739, 95% CI: 0.681-0.792)高于HALP评分(0.688,95% CI: 0.627-0.744),但差异无统计学意义(p = 0.2969)。结论:本研究结果表明,HALP评分可用于UGIB的预后预测,具有与Rockall评分相当的敏感性和特异性。它易于使用常规实验室参数计算,为现有评分系统提供了实用的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hemoglobin, Albumin, Lymphocyte and Platelet Score as a Novel Predictor of Mortality and Rebleeding in Patients with Upper Gastrointestinal Bleeding.

Purpose: Upper gastrointestinal bleeding (UGIB) poses significant risks of morbidity and mortality, necessitating effective risk stratification tools. Traditional scoring systems such as the Rockall (RS), Glasgow-Blatchford (GBS), and AIMS65 have limitations in accurately predicting mortality and rebleeding. The Hemoglobin, Albumin, Lymphocyte, Platelet (HALP) score, initially developed for cancer prognosis, has demonstrated prognostic value in various conditions. This study aims to evaluate whether the HALP score, when assessed at admission, aligns with the Rockall score and can be used to predict rebleeding and 30- day mortality in UGIB patients.

Patients and methods: This retrospective study included 256 patients with confirmed UGIB admitted to a tertiary hospital in Istanbul, Turkey, between 2017 and 2024. Patient data, including demographics, vital signs, laboratory parameters, endoscopic findings, and clinical outcomes, were collected. The HALP score was calculated at admission to the emergency department. ROC curve analysis assessed the predictive accuracy of the HALP score for 30-day mortality, rebleeding, and its performance was compared with the Rockall score.

Results: The predictive performance of the HALP and Rockall scores for 30-day mortality and rebleeding was evaluated using ROC analysis, with AUC values of 0.772 (95% CI: 0.715-0.822) and 0.770 (95% CI: 0.714-0.820) for mortality prediction, respectively (p = 0.9801). For rebleeding prediction, the Rockall score had a higher AUC (0.739, 95% CI: 0.681-0.792) than the HALP score (0.688, 95% CI: 0.627-0.744), though the difference was not statistically significant (p = 0.2969).

Conclusion: The results of this study demonstrate that the HALP score can be used for prognosis prediction in UGIB, exhibiting comparable sensitivity and specificity to the Rockall score. Its ease of calculation using routine laboratory parameters offers a practical complement to existing scoring systems.

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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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