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开发并验证一种预测髋部骨折患者院内死亡率的新工具:PRIMOF 评分。

Development and Validation of a New Tool in Predicting In-Hospital Mortality for Hip-Fractured Patients: The PRIMOF Score.

机构信息

Department of Medicine and Ageing Sciences, "G. d'Annunzio" University of Chieti-Pescara, 66100 Chieti, Italy.

Unit of Hygiene, Epidemiology and Public Health, Local Health Authority of Pescara, 65100 Pescara, Italy.

出版信息

Medicina (Kaunas). 2022 Aug 11;58(8):1082. doi: 10.3390/medicina58081082.

DOI:10.3390/medicina58081082
PMID:36013549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9412693/
Abstract

: The improved life expectancy was associated to the increased in the incidence of hip fractures among elderly people. Subjects suffering hip fractures frequently show concomitant conditions causing prolonged lengths of stay and higher in-hospital mortality. The knowledge of factors associated to in-hospital mortality or adverse events can help healthcare providers improve patients' outcomes and management. The aim of this study was to develop a score to predict in-hospital mortality among hip fractured patients. : Cases were selected from hospital admissions that occurred during the period 2006-2015 in Abruzzo region, Italy. The study population was split into two random samples in order to evaluate the accuracy of prediction models. A multivariate logistic regression was performed in order to identify factors associated to in-hospital mortality. All diagnoses significantly associated to in-hospital mortality were included in the final model. : The PRIMOF ranged between 0 and 27 and was divided into four risk categories to allow the score interpretation. An increase in odds ratio values with the increase in PRIMOF score was reported in both study groups. : This study showed that a simple score based on the patient' clinical comorbidities was able to stratify the risk of hip-fractured patients in terms of in-hospital mortality.

摘要

: 预期寿命的提高与老年人髋部骨折发病率的增加有关。髋部骨折的患者常伴有导致住院时间延长和住院死亡率升高的合并症。了解与住院死亡率或不良事件相关的因素可以帮助医疗保健提供者改善患者的预后和管理。本研究旨在制定一个评分系统,以预测髋部骨折患者的住院死亡率。

: 病例选自意大利阿布鲁佐地区 2006-2015 年期间的住院患者。为了评估预测模型的准确性,将研究人群随机分为两个样本。采用多变量逻辑回归来确定与住院死亡率相关的因素。所有与住院死亡率显著相关的诊断均被纳入最终模型。

: PRIMOF 评分范围为 0 至 27 分,分为四个风险类别,以便对评分进行解释。在两个研究组中,PRIMOF 评分的增加与比值比的增加呈正相关。

: 这项研究表明,一种基于患者临床合并症的简单评分系统能够根据住院死亡率对髋部骨折患者进行风险分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c463/9412693/394f27280152/medicina-58-01082-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c463/9412693/2dc6676adaa6/medicina-58-01082-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c463/9412693/394f27280152/medicina-58-01082-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c463/9412693/2dc6676adaa6/medicina-58-01082-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c463/9412693/394f27280152/medicina-58-01082-g002.jpg

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The Burden of Diabetes-Related Preventable Hospitalization: 11-Year Trend and Associated Factors in a Region of Southern Italy.糖尿病相关可预防住院负担:意大利南部某地区的11年趋势及相关因素
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