Acute kidney injury in different time windows: a retrospective study of hospitalized elderly patients

被引:0
作者
Li, Qinglin [1 ]
Li, Guanggang [2 ]
Li, Dawei [3 ]
Chen, Yan [4 ]
Zhou, Feihu [5 ]
机构
[1] Chinese Peoples Liberat Army Gen Hosp, Natl Clin Res Ctr Kidney Dis, Dept Nephrol, Med Ctr 1,State Key Lab Kidney Dis,Beijing Key La, Beijing 100853, Peoples R China
[2] Chinese Peoples Liberat Army Gen Hosp, Dept Crit Care Med, Med Ctr 7, Beijing, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Dept Crit Care Med, Med Ctr 6, Beijing, Peoples R China
[4] Chinese Peoples Liberat Army Gen Hosp, Dept Anesthesiol, Med Ctr 1, Fuxing Rd, Beijing 100853, Peoples R China
[5] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Crit Care Med, Fuxing Rd, Beijing 100853, Peoples R China
关键词
Acute kidney injury; Diagnosis time window; Early AKI; Late AKI; Risk factor; AKI; MORTALITY; EPIDEMIOLOGY; DEFINITION;
D O I
暂无
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background To compare the differences between the Kidney Disease Improving Global Outcomes (KDIGO) criteria of the 48-hour window (early acute kidney injury [AKI], 3-5 day window [middle AKI], and 6-7 day window [late AKI]) in the diagnosis of AKI, as well as the relationship between the diagnosis time windows and 90-day mortality. Methods We conducted a retrospective cohort study. All elderly patients admitted to the Geriatric Department of the Chinese PLA General Hospital between 2007 and 2018 were evaluated for AKI during their hospital stay. Patients with AKI were divided into early, middle, and late AKI groups according to the time of diagnosis. Statistical analyses were performed using SPSS 21.0 statistical software. Continuous parametric variables are expressed as the means +/- standard deviations (SDs), and continuous nonparametric variables are presented as the medians with interquartile ranges (25th and 75th percentiles). Categorical variables are presented as numbers (n) or percentages (%). Group comparisons were conducted using one-way analysis of variance or the Kruskal-Wallis H test for continuous variables and Pearson's chi-square or Fisher's exact test for categorical variables. Logistic regression analyses and a forward stepwise selection method were used to identify risk factors associated with AKI diagnosis time windows and 90-day mortality. Results During the follow-up period, 1847 patients were enrolled. Overall, 22.4% of the patients (413/1847) developed early AKI, 7.3% (134/1847) developed middle AKI, and 10.7% (197/1847) developed late AKI. Risk factors for early AKI included age, hypoalbuminemia, low prealbumin level, and the need for mechanical ventilation; middle AKI was significantly associated with age, low prealbumin, low hemoglobin, and the need for mechanical ventilation, whereas late AKI was closely associated with age, low baseline estimated glomerular filtration rate, low prealbumin, and low hemoglobin. In the multivariable-adjusted analysis, AKI time windows (early AKI, odds ratio [OR]: 6.069; P < 0.001; middle AKI, OR: 5.000; P < 0.001) and late AKI (OR: 2.847; P < 0.001) were more strongly associated with higher 90-day mortality than non-AKI. Conclusion Clinical differences and risk factors for AKI in elderly patients depend on the definition used. A better understanding of how AKI develops during different diagnostic windows may lead to improved outcomes.
引用
收藏
页码:9 / 14
页数:6
相关论文
共 25 条
[1]   Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group [J].
Bellomo, R ;
Ronco, C ;
Kellum, JA ;
Mehta, RL ;
Palevsky, P .
CRITICAL CARE, 2004, 8 (04) :R204-R212
[2]   The severity of initial acute kidney injury at admission of geriatric patients significantly correlates with subsequent in-hospital complications [J].
Chao, Chia-Ter ;
Tsai, Hung-Bin ;
Wu, Chia-Yi ;
Lin, Yu-Feng ;
Hsu, Nin-Chieh ;
Chen, Jin-Shing ;
Hung, Kuan-Yu .
SCIENTIFIC REPORTS, 2015, 5
[3]   Global epidemiology and outcomes of acute kidney injury [J].
Hoste, Eric A. J. ;
Kellum, John A. ;
Selby, Nicholas M. ;
Zarbock, Alexander ;
Palevsky, Paul M. ;
Bagshaw, Sean M. ;
Goldstein, Stuart L. ;
Cerda, Jorge ;
Chawla, Lakhmir S. .
NATURE REVIEWS NEPHROLOGY, 2018, 14 (10) :607-625
[4]   A prospective cohort study of acute kidney injury and kidney outcomes, cardiovascular events, and death [J].
Ikizler, T. Alp ;
Parikh, Chirag R. ;
Himmelfarb, Jonathan ;
Chinchilli, Vernon M. ;
Liu, Kathleen D. ;
Coca, Steven G. ;
Garg, Amit X. ;
Hsu, Chi-yuan ;
Siew, Edward D. ;
Wurfel, Mark M. ;
Ware, Lorraine B. ;
Faulkner, Georgia Brown ;
Tan, Thida C. ;
Kaufman, James S. ;
Kimmel, Paul L. ;
Go, Alan S. .
KIDNEY INTERNATIONAL, 2021, 99 (02) :456-465
[5]  
Kidney Disease: Improving Global Outcomes Acute Kidney Injury Work Group, 2012, KIDNEY INT SUPPL, V2, P1, DOI DOI 10.1038/KISUP.2012.1
[6]   A New Equation to Estimate Glomerular Filtration Rate [J].
Levey, Andrew S. ;
Stevens, Lesley A. ;
Schmid, Christopher H. ;
Zhang, Yaping ;
Castro, Alejandro F., III ;
Feldman, Harold I. ;
Kusek, John W. ;
Eggers, Paul ;
Van Lente, Frederick ;
Greene, Tom ;
Coresh, Josef .
ANNALS OF INTERNAL MEDICINE, 2009, 150 (09) :604-612
[7]   Clinical Characteristics and Short-Term Outcomes of Acute Kidney Injury Missed Diagnosis in Older Patients with Severe COVID-19 in Intensive Care Unit [J].
Li, Q. ;
Hu, P. ;
Kang, H. ;
Zhou, Feihu .
JOURNAL OF NUTRITION HEALTH & AGING, 2021, 25 (04) :492-500
[8]   Duration of acute kidney injury predicts 90-day mortality and chronic kidney disease progression in elderly patients [J].
Li, Qinglin ;
Li, Yuru ;
Zhou, Feihu .
JOURNAL OF INTENSIVE MEDICINE, 2022, 2 (02) :110-117
[9]   Association of serum potassium level with early and late mortality in very elderly patients with acute kidney injury [J].
Li, Qinglin ;
Li, Yuru ;
Zhou, Feihu .
JOURNAL OF INTENSIVE MEDICINE, 2022, 2 (01) :50-55
[10]   Missed diagnosis of acute kidney injury in older patients with invasive mechanical ventilation: a multicenter retrospective study [J].
Li, Qinglin ;
Li, Guanggang ;
Ju, Hongyan ;
Wang, Yan ;
Li, Dawei ;
Zhou, Feihu .
AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 34 (11) :2887-2895