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使用风险分层工具(STTGMA)预测踝关节骨折后的住院时间和再入院情况。

Predicting Length of Stay and Readmissions After an Ankle Fracture Using a Risk Stratification Tool (STTGMA).

作者信息

Simske Natasha M, Benedick Alex, Kavanagh Michael D, Vallier Heather A

机构信息

Department of Orthopaedic Surgery, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH.

出版信息

J Orthop Trauma. 2020 Nov;34(11):e407-e413. doi: 10.1097/BOT.0000000000001788.

Abstract

OBJECTIVES

To determine the usefulness of a validated trauma triage score to stratify short-term outcomes including hospital length of stay (LOS), in-hospital complications, discharge location, and rate of readmission after an ankle fracture.

DESIGN

Retrospective cohort.

SETTING

Level 1 trauma center.

PATIENTS

Four hundred fifteen patients, age ≥55 with 431 ankle fractures.

INTERVENTION

Closed or open reduction.

MAIN OUTCOME MEASUREMENTS

Score for Trauma Triage in the Geriatric and Middle-Aged (STTGMA).

RESULTS

Of the 415 patients, 38% were male, 72% were white, and the mean age was 66 years. The mean LOS was 4.4 days, and this increased from 2.6 days in the minimal-risk group to 11.8 days in the high-risk group (P < 0.001). Similarly, 74% of minimal-risk patients were discharged home versus 13% of high-risk patients (P < 0.001). There were 19 readmissions (4.6%) within 30 days, ranging from 1.5% to 10% depending on the risk cohort (P = 0.006). Seventy-three patients (18%) experienced an in-hospital complication. On multiple linear regression, moderate- and high-risk STTGMA stratification was predictive of a longer hospital LOS, and moderate-risk STTGMA stratification was predictive of subsequent readmission after injury.

CONCLUSIONS

Calculation of the STTGMA score is helpful for stratifying patients according to hospital LOS and readmission rates, which have substantial bearing on resource utilization and cost of care. The STTGMA tool may allow for effective identification of patients to potentially ameliorate these common issues and to inform payers and policymakers regarding patients at risk for greater costs of care.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

摘要

目的

确定一种经过验证的创伤分诊评分对分层短期结局(包括住院时间(LOS)、院内并发症、出院地点和踝关节骨折后再入院率)的有用性。

设计

回顾性队列研究。

设置

一级创伤中心。

患者

415例年龄≥55岁且有431例踝关节骨折的患者。

干预

闭合或切开复位。

主要结局指标

老年和中年创伤分诊评分(STTGMA)。

结果

415例患者中,38%为男性,72%为白人,平均年龄为66岁。平均住院时间为4.4天,从最低风险组的2.6天增加到高风险组的11.8天(P<0.001)。同样,74%的最低风险患者出院回家,而高风险患者为13%(P<0.001)。30天内有19例再入院(4.6%),根据风险队列不同,范围从1.5%到10%(P = 0.006)。73例患者(18%)发生了院内并发症。在多元线性回归分析中,中度和高风险的STTGMA分层可预测更长的住院时间,中度风险的STTGMA分层可预测受伤后的后续再入院。

结论

计算STTGMA评分有助于根据住院时间和再入院率对患者进行分层,这对资源利用和护理成本有重大影响。STTGMA工具可能有助于有效识别患者,以潜在改善这些常见问题,并为支付方和政策制定者提供有关护理成本较高风险患者的信息。

证据水平

预后III级。有关证据水平的完整描述,请参阅作者指南。

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