Cartin-Ceba Rodrigo, Kashiouris Markos, Plataki Maria, Kor Daryl J, Gajic Ognjen, Casey Edward T
Division of Pulmonary and Critical Care Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
Crit Care Res Pract. 2012;2012:691013. doi: 10.1155/2012/691013. Epub 2012 Nov 26.
Background. Acute kidney injury (AKI) is a frequent complication of critically ill patients. The impact of different risk factors associated with this entity in the ICU setting is unknown. Objectives. The purpose of this research was to assess the risk factors associated with the development of AKI in critically ill patients by meta-analyses of observational studies. Data Extraction. Two reviewers independently and in duplicate used a standardized form to collect data from published reports. Authors were contacted for missing data. The Newcastle-Ottawa scale assessed study quality. Data Synthesis. Data from 31 diverse studies that enrolled 504,535 critically ill individuals from a wide variety of ICUs were included. Separate random-effects meta-analyses demonstrated a significantly increased risk of AKI with older age, diabetes, hypertension, higher baseline creatinine, heart failure, sepsis/systemic inflammatory response syndrome, use of nephrotoxic drugs, higher severity of disease scores, use of vasopressors/inotropes, high risk surgery, emergency surgery, use of intra-aortic balloon pump, and longer time in cardiopulmonary bypass pump. Conclusion. The best available evidence suggests an association of AKI with 13 different risk factors in subjects admitted to the ICU. Predictive models for identification of high risk individuals for developing AKI in all types of ICU are required.
背景。急性肾损伤(AKI)是危重症患者常见的并发症。在重症监护病房(ICU)环境中,与该病症相关的不同风险因素的影响尚不清楚。目的。本研究旨在通过对观察性研究的荟萃分析,评估危重症患者发生AKI的相关风险因素。数据提取。两名审阅者独立且重复地使用标准化表格从已发表的报告中收集数据。对于缺失数据,与作者进行了联系。采用纽卡斯尔-渥太华量表评估研究质量。数据综合。纳入了31项不同研究的数据,这些研究纳入了来自各种ICU的504,535名危重症患者。单独的随机效应荟萃分析表明,年龄较大、患有糖尿病、高血压、基线肌酐水平较高、心力衰竭、脓毒症/全身炎症反应综合征、使用肾毒性药物、疾病严重程度评分较高、使用血管加压药/正性肌力药、高风险手术、急诊手术、使用主动脉内球囊泵以及体外循环泵使用时间较长会显著增加发生AKI的风险。结论。现有最佳证据表明,在入住ICU的患者中,AKI与13种不同的风险因素相关。需要建立预测模型,以识别各类ICU中发生AKI的高危个体。