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Identifying the patient at risk of acute kidney injury: A predictive scoring system for the development of acute kidney injury in acute medical patients

机译：识别有急性肾损伤危险的患者：急性医学患者急性肾损伤发展的预测评分系统

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Background: Acute kidney injury (AKI) in hospitalized patients has significant implications in terms of morbidity and mortality, length of hospital stay and associated costs. To date, no interventions are proven to prevent the development of AKI but this is hampered in part by the lack of early recognition of patients at risk. We aimed to determine whether a simple system could be devised from both physiological and demographic data in order to identify individuals at increased risk from the development of inpatient AKI. Method: Our observational, population-based single-centred study took place in an 870-bed associated university hospital. All patients admitted to the acute medical admissions unit on the Worthing site of the Western Sussex Hospitals Trust during the study period were included. Results: Multivariate logistic regression analysis demonstrated that age, respiratory rate and disturbed consciousness together with a history of chronic kidney disease, diabetes mellitus, congestive cardiac failure and liver disease were associated with an increased risk of developing AKI within 7 days of admission. We derived a simple scoring system to identify acute medical patients at greater risk of developing AKI. Conclusions: The incidence of AKI complicating inpatient admissions remains high, however with the application of the derived AKI prediction score it is hoped that early recognition will translate to improved outcomes.
机译：背景：住院患者的急性肾损伤（AKI）在发病率和死亡率，住院时间和相关费用方面具有重要意义。迄今为止，尚无干预措施可阻止AKI的发生，但由于缺乏早期识别高危患者的能力，这部分受到了阻碍。我们的目的是确定是否可以从生理和人口统计数据中设计出一个简单的系统，以识别因住院AKI的发展而处于较高风险中的个体。方法：我们的观察性，基于人群的单中心研究是在一家有870张床的大学附属医院进行的。研究期间纳入了西萨塞克斯郡医院信托基金会沃辛医院急诊室的所有患者。结果：多因素logistic回归分析表明，年龄，呼吸频率和意识障碍以及慢性肾脏病，糖尿病，充血性心力衰竭和肝病的病史与入院后7天内发生AKI的风险增加有关。我们导出了一个简单的评分系统，以识别处于发展为AKI的更大风险的急性医学患者。结论：AKI使住院病人复杂化的发生率仍然很高，但是，通过使用得出的AKI预测分数，希望早期识别可以改善结局。

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