Evidence map›Paper›PMID 31410742›Full record

ArticleAging clinical and experimental research2020

Analysis of the short-term prognosis and risk factors of elderly acute kidney injury patients in different KDIGO diagnostic windows.

Qinglin Li, Zhi Mao, Pan Hu, Hongjun Kang, Feihu Zhou

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Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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5 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Qinglin LiDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Zhi MaoDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Pan HuDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Hongjun KangDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
Feihu ZhouDepartment of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. feihuzhou301@126.com.ORCID http://orcid.org/0000-0001-6154-013X

Funding

Beijing Municipal Capital Specialized Clinical Application Research Program of Science and Technology Commission Foundation Z161100000116054National Clinical Research Center for Geriatric Diseases of China NCRCG-PLAGH-2017008Wu Jieping Medical Foundation 320.6750.18383
6 · The paper itself

Abstract

BACKGROUND AND

aimsFollow-up observation was performed on elderly acute kidney injury (AKI) patients to analyze the short-term prognosis and risk factors of AKI patients in the 48-h diagnostic window and 7-day diagnostic window of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.

methodsInpatients aged ≥ 75 years in the geriatric ward of the People's Liberation Army General Hospital, China, between January 2007 and December 2015 were selected as the research subjects. According to two diagnostic criteria in the KDIGO guidelines, patients were divided into a 48-h diagnostic window group and a 7-day diagnostic window group. The medical data of the patients were divided into the death group and the survival group for analysis based on the survival condition of the patients after 90 days of AKI. Factors that affected the 90-day survival of patients in the 48-h diagnostic window and 7-day diagnostic window groups were analyzed using multivariate Cox regression.

resultsDuring the follow-up period, a total of 652 patients were enrolled in this study. Among them, 623 cases were men, accounting for 95.6% of the patients. The median age was 87 (84-91) years. According to the KDIGO staging criteria, there were 308 (47.2%) cases in AKI stage 1, 164 (25.2%) cases in stage 2, and 180 (27.6%) cases in stage 3. Among the 652 patients, 334 (51.2%) were diagnosed with AKI based on the 48-h diagnostic criteria window, and 318 (48.8%) were diagnosed with AKI based on the baseline 7-day diagnostic criteria. The 90-day mortality of AKI patients was 42.5% in the 48-h diagnostic window and 24.2% in the 7-day diagnostic window. The multivariate Cox analysis results showed that low mean arterial pressure (HR = 0.966; P < 0.001), low serum prealbumin level (HR = 0.932; P < 0.001), infection (HR = 1.448; P = 0.047), mechanical ventilation (HR = 1.485; P = 0.038), high blood urea nitrogen (BUN) level (HR = 1.026; P < 0.001), blood magnesium level (HR = 2.560; P = 0.024), and more severe AKI stage (stage 2: HR = 3.482; P < 0.001 and stage 3: HR = 6.267; P < 0.001) were independent risk factors affecting the 90-day mortality of elderly patients in the 48-h diagnostic window, whereas low body mass index (HR = 0.851; P < 0.001), low mean arterial pressure (HR = 0.980; P = 0.036), low serum prealbumin level (HR = 0.950; P = 0.048), low serum albumin level (HR = 0.936; P = 0.015), high BUN level (HR = 1.046; P < 0.001), and more severe AKI stage (stage 2: HR = 4.249; P = 0.001 and stage 3: HR = 9.230; P < 0.001) were independent risk factors affecting the 90-day mortality of elderly patients in the 7-day diagnostic window.

conclusionsThe clinical differences of AKI and risk factors for 90-day mortality in elderly AKI individuals vary depending on the definition used. An increment of Scr ≥ 26.5 μmol/L in 48 h (48-h KDIGO window) alone predicts adverse clinical outcomes.

Indexed as

Acute Kidney InjuryAged, 80 and overBlood Urea NitrogenBody Mass IndexFemaleHumansMalePrognosisRetrospective StudiesRisk FactorsAcute kidney injuryAKI diagnosis windowShort-term mortalityVery elderly

Identifiers

PMID31410742
PMCPMC7190600

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