Improving acute kidney injury alerts in tertiary care by linking primary care data: An observational cohort using routine care data.

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2024-08-18 eCollection Date: 2024-01-01 DOI:10.1177/20552076241271767
Huibert-Jan Joosse, Wouter Tiel Groenestege, Robin Wm Vernooij, Mark Ch De Groot, Imo E Hoefer, Wouter W van Solinge, Maarten B Kok, Saskia Haitjema
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引用次数: 0

Abstract

Objective: Acute kidney injury (AKI) is easily missed and underdiagnosed in routine clinical care. Timely AKI management is important to decrease morbidity and mortality risks. We recently implemented an AKI e-alert at the University Medical Center Utrecht, comparing plasma creatinine concentrations with historical creatinine baselines, thereby identifying patients with AKI. This alert is limited to data from tertiary care, and primary care data can increase diagnostic accuracy for AKI. We assessed the added value of linking primary care data to tertiary care data, in terms of timely diagnosis or excluding AKI.

Methods: With plasma creatinine tests for 84,984 emergency department (ED) visits, we applied the Kidney Disease Improving Global Outcome guidelines in both tertiary care-only data and linked data and compared AKI cases.

Results: Using linked data, the presence of AKI could be evaluated in an additional 7886 ED visits. Sex- and age-stratified analyses identified the largest added value for women (an increase of 4095 possible diagnoses) and patients ≥60 years (an increase of 5190 possible diagnoses). We observed 398 additional visits where AKI was diagnosed, as well as 185 cases where AKI could be excluded. We observed no overall decrease in time between baseline and AKI diagnosis (28.4 days vs. 28.0 days). For cases where AKI was diagnosed in both data sets, we observed a decrease of 2.8 days after linkage, indicating a timelier diagnosis of AKI.

Conclusions: Combining primary and tertiary care data improves AKI diagnostic accuracy in routine clinical care and enables timelier AKI diagnosis.

通过连接初级医疗数据改进三级医疗机构的急性肾损伤警报:使用常规护理数据的观察性队列。
目的:在常规临床护理中,急性肾损伤(AKI)很容易被漏诊和诊断不足。及时处理急性肾损伤对降低发病率和死亡率非常重要。我们最近在乌得勒支大学医学中心实施了一项 AKI 电子警报,将血浆肌酐浓度与历史肌酐基线进行比较,从而识别出 AKI 患者。该警报仅限于三级医疗机构的数据,而初级医疗机构的数据可以提高 AKI 诊断的准确性。我们从及时诊断或排除 AKI 的角度评估了将初级医疗数据与三级医疗数据联系起来的附加价值:通过对 84984 个急诊科(ED)就诊病例的血浆肌酐检测,我们在纯三级医疗数据和链接数据中应用了肾脏病改善全球结果指南,并对 AKI 病例进行了比较:结果:利用链接数据,可对另外 7886 个急诊就诊病例进行 AKI 评估。性别和年龄分层分析发现,女性(增加了 4095 个可能诊断)和年龄≥60 岁的患者(增加了 5190 个可能诊断)的附加值最大。我们观察到诊断出 AKI 的就诊次数增加了 398 次,可以排除 AKI 的病例增加了 185 例。我们观察到,从基线到确诊 AKI 的时间总体上没有缩短(28.4 天对 28.0 天)。对于在两个数据集中都诊断出 AKI 的病例,我们观察到连接后缩短了 2.8 天,这表明 AKI 的诊断更加及时:结论:结合初级和三级医疗数据可提高常规临床护理中 AKI 诊断的准确性,并使 AKI 诊断更加及时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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