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• W4213365514 abstract "A considerable percentage of patients hospitalized for COVID-19 presented with acute kidney injury (AKI), the most common pathology of which was acute tubular injury. Of the biomarkers studied, the cell cycle arrest biomarkers tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor binding protein-7 (IGFBP-7) present in the urine after being released by tubular cells in response to injury were found to be superior in predicting AKI Kidney Disease Improving Global Outcomes (KDIGO) stages 2 and 3 acute kidney injury. Considering the significant mortality of COVID-19 patients with AKI, testing of these biomarkers in patients with COVID-19 may help detect AKI at an earlier time. The objective of this study was to determine the accuracy of urine [TIMP-2]∙[IGFBP-7] in predicting the development of acute kidney injury among adult Filipino patients with COVD-19 admitted in a COVID-19 referral center. This was a prospective observational study conducted on adult patients aged 21 years old and above with moderate, severe, or critical COVID-19 admitted at the COVID wards and intensive care unit (ICU) of a tertiary referral hospital. Urine samples for [TIMP-2]∙[IGFBP-7] levels were collected upon recruitment within 24 hours of hospital admission. Serum creatinine on admission to COVID ward or ICU was assigned as the baseline level. Serum creatinine was measured again within 48 hours after measurement of urine [TIMP-2]∙[IGFBP-7]. The outcome was acute kidney injury based on the KDIGO criteria. The study included 86 patients, 55.8% male, with a mean age of 54 years old. In terms of COVID severity, 50% were moderate, 27.9% were severe, while 22.1% were critical. Among the 86 participants in the study, 79 (91.9%) did not develop acute kidney injury. Among the 7 (8.1%) participants who developed AKI, four had stage 1, one had stage 2, and two had stage 3. There was a high percentage of mortality at 71.4% among patients who had AKI, while majority or 86.1% of patients without AKI were discharged from the hospital. The cutoff value of [TIMP-2]∙[IGFBP-7] to predict AKI was 0.59 ng/mL2/1000 and the AUC was 0.62 (95%, confidence interval 0.38-0.87). The sensitivity of this cut-off was 57.1% (95%, confidence interval 56.0-58.3) with a specificity of 74.7% (95%, confidence interval 74.4-75.0). A separate analysis was done to determine the ability of [TIMP-2]∙[IGFBP-7] to predict moderate to severe AKI. This analysis yielded an AUC of 0.78 (95%, confidence interval 0.51-1.0) with an optimal cut-off value of 0.29 for screening for AKI. View Large Image Figure ViewerDownload Hi-res image Download (PPT) Urine [TIMP-2]∙[IGFBP-7] is moderately accurate in predicting stage 2 to 3 acute kidney injury among patients hospitalized with moderate, severe or critical COVID-19, but larger studies with a larger percentage of patients developing AKI are recommended to validate these findings." @default.
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• W4213365514 date "2022-02-01" @default.
• W4213365514 modified "2023-09-27" @default.
• W4213365514 title "POS-075 ACCURACY OF URINE BIOMARKERS TISSUE INHIBITOR OF METALLOPROTEINASES-2 AND INSULIN-LIKE GROWTH FACTOR BINDING PROTEIN-7 ([TIMP-2]∙[IGFBP-7]) IN PREDICTING ACUTE KIDNEY INJURY AMONG ADULT HOSPITALIZED COVID-19 PATIENTS" @default.
• W4213365514 doi "https://doi.org/10.1016/j.ekir.2022.01.084" @default.
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