Suppr超能文献

无害性急性胰腺炎评分(HAPS)可识别非重症患者:系统评价和荟萃分析。

The harmless acute pancreatitis score (HAPS) identifies non-severe patients: A systematic review and meta-analysis.

机构信息

Chief, Unit of Clinical Epidemiology, Division of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Emeritus Professor of Surgery and Professor of Family Medicine New York Medical College, Valhalla, NY, USA.

出版信息

Pancreatology. 2021 Dec;21(8):1419-1427. doi: 10.1016/j.pan.2021.09.017. Epub 2021 Oct 2.

Abstract

INTRODUCTION

We previously described a scoring system to identify patients with harmless acute pancreatitis as defined by absence of pancreatic necrosis, no need for artificial ventilation or dialysis, and non-fatal course. This scoring system, the Harmless Acute Pancreatitis Score (HAPS), can be quickly calculated from three parameters: absence of abdominal tenderness or rebound, normal hematocrit and normal creatinine level. We aim to assess the positive predictive value (PPV) of the HAPS by performing a meta-analysis of subsequently published studies.

METHODS

We performed a literature search using Pubmed, Web of Science and Google Scholar. We used random effects models, with maximum likelihood estimates, to estimate the PPV of HAPS. We produced forest plots and used the I statistic to quantify heterogeneity.

RESULTS

Twenty reports covering 6374 patients were identified. The overall PPV based on 16 studies that closely followed the original description of the HAPS system was 97% (95%CI 95-99%) with significant heterogeneity (I = 76%; P < 0.01). For 11 studies in which HAPS was used to identify patients with mild AP, the overall PPV dropped to 83% (74-91%). For 8 studies in which HAPS was used to predict non-fatal course the overall PPV was 98% (97-100%).

CONCLUSION

The HAPS, if used as originally defined, accurately identifies patients with non-severe AP who will not require ICU care and facilitate selection of patients who can be discharged after a short stay on a general ward or can even be cared for at home. This could free hospital beds for other purposes and decrease healthcare costs.

摘要

简介

我们之前描述了一种评分系统,用于识别无胰腺坏死、无需人工通气或透析以及非致死性病程的无害性急性胰腺炎患者。该评分系统,即无害性急性胰腺炎评分(HAPS),可以通过三个参数快速计算:无腹部压痛或反跳痛、正常血细胞比容和正常肌酐水平。我们旨在通过对随后发表的研究进行荟萃分析来评估 HAPS 的阳性预测值(PPV)。

方法

我们使用 Pubmed、Web of Science 和 Google Scholar 进行文献检索。我们使用随机效应模型和最大似然估计来估计 HAPS 的 PPV。我们生成森林图,并使用 I 统计量来量化异质性。

结果

共确定了 20 项报告,涵盖了 6374 名患者。根据 16 项密切遵循 HAPS 系统原始描述的研究,总体 PPV 为 97%(95%CI 95-99%),存在显著异质性(I = 76%;P < 0.01)。对于 11 项使用 HAPS 识别轻度 AP 患者的研究,总体 PPV 降至 83%(74-91%)。对于 8 项使用 HAPS 预测非致死性病程的研究,总体 PPV 为 98%(97-100%)。

结论

如果按照最初的定义使用 HAPS,可以准确识别无需 ICU 护理的非重症 AP 患者,并有助于选择可以在普通病房短暂停留后出院的患者,甚至可以在家中护理。这可以为其他目的腾出医院床位并降低医疗保健成本。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验