论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
包括电解质紊乱在内的风险评分系统预测住院患者急性肾损伤的发生率
Authors Chen X, Xu J, Li Y, Xu X, Shen B, Zou Z, Ding X, Teng J, Jiang W
Received 17 March 2021
Accepted for publication 21 April 2021
Published 27 May 2021 Volume 2021:13 Pages 383—396
DOI https://doi.org/10.2147/CLEP.S311364
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Vera Ehrenstein
Introduction: Electrolyte disorders are common among hospitalized patients with acute kidney injury (AKI) and adversely affect the outcome. This study aimed to explore the potential role of abnormal electrolyte levels on predicting AKI and severe AKI.
Methods: In this retrospective, observational study, we included all hospitalized patients in our hospital in China from October 01, 2014, to September 30, 2015. Since only a few patients had arterial blood gas analysis (ABG), all subjects involved were divided into two groups: patients with ABG and patients without ABG. Severe AKI was defined as AKI stage 2 or 3 according to KDIGO guideline.
Results: A total of 80,091 patients were enrolled retrospectively and distributed randomly into the test cohort and the validation cohort (2:1). Logistic regression was performed in the test cohort to analyze risk factors including electrolyte disorders and elucidate the association. The test data (derivation cohort) led to AUC values of 0.758 (95% CI: 0.743– 0.773; AKI with ABG), 0.751 (95% CI: 0.740– 0.763; AKI without ABG), 0.733 (95% CI: 0.700– 0.767; severe AKI with ABG), 0.853 (95% CI: 0.824– 0.882; severe AKI without ABG). Application of the scoring system in the validation cohort led to AUC values of 0.724 (95% CI: 0.703– 0.744; AKI with ABG), 0.738 (95% CI: 0.721– 0.755; AKI without ABG), 0.774 (95% CI: 0.732– 0.815; severe AKI with ABG), 0.794 (95% CI: 0.760– 0.827; severe AKI without ABG). Hosmer–Lemeshow tests revealed a good calibration.
Conclusion: The risk scoring systems involving electrolyte disorders were established and validated adequately efficient to predict AKI and severe AKI in hospitalized patients. Electrolyte imbalance needs to be carefully monitored and corrections should be made on time to avoid further adverse outcome.
Keywords: acute kidney injury, electrolyte disorders, risk score