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Role of Urinary Kidney Stress Biomarkers for Early Recognition of Subclinical Acute Kidney Injury in Critically Ill COVID-19 Patients

亚临床感染 急性肾损伤 医学 病危 2019年冠状病毒病(COVID-19) 重症监护医学 泌尿系统 内科学 疾病 传染病(医学专业)
作者
Gustavo Casas-Aparicio,Claudia Alvarado‐de la Barrera,David Escamilla-Illescas,Isabel León-Rodríguez,Perla M. Del Río Estrada,Natalia Calderón-Dávila,Mauricio González-Navarro,Rossana Olmedo-Ocampo,Manuel Castillejos‐López,Liliana Figueroa-Hernández,Amy Peralta-Prado,Yara Luna-Villalobos,Elvira Pitén-Isidro,Paola Fernández-Campos,Santiago Ávila‐Ríos
出处
期刊:Biomolecules [Multidisciplinary Digital Publishing Institute]
卷期号:12 (2): 275-275 被引量:29
标识
DOI:10.3390/biom12020275
摘要

A high proportion of critically ill patients with COVID-19 develop acute kidney injury (AKI) and die. The early recognition of subclinical AKI could contribute to AKI prevention. Therefore, this study was aimed at exploring the role of the urinary biomarkers NGAL and [TIMP-2] × [IGFBP7] for the early detection of AKI in this population. This prospective, longitudinal cohort study included critically ill COVID-19 patients without AKI at study entry. Urine samples were collected on admission to critical care areas for determination of NGAL and [TIMP-2] × [IGFBP7] concentrations. The demographic information, comorbidities, clinical, and laboratory data were recorded. The study outcomes were the development of AKI and mortality during hospitalization. Of the 51 individuals that were studied, 25 developed AKI during hospitalization (49%). Of those, 12 had persistent AKI (23.5%). The risk factors for AKI were male gender (HR = 7.57, 95% CI: 1.28–44.8; p = 0.026) and [TIMP-2] × [IGFBP7] ≥ 0.2 (ng/mL)2/1000 (HR = 7.23, 95% CI: 0.99–52.4; p = 0.050). Mortality during hospitalization was significantly higher in the group with AKI than in the group without AKI (p = 0.004). Persistent AKI was a risk factor for mortality (HR = 7.42, 95% CI: 1.04–53.04; p = 0.046). AKI was frequent in critically ill COVID-19 patients. The combination of [TIMP-2] × [IGFBP7] together with clinical information, were useful for the identification of subclinical AKI in critically ill COVID-19 patients. The role of additional biomarkers and their possible combinations for detection of AKI in ritically ill COVID-19 patients remains to be explored in large clinical trials.
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