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Using dipstick urinalysis to predict development of acute kidney injury in patients with COVID-19.
McAdams, Meredith C; Li, Michael; Xu, Pin; Gregg, L Parker; Patel, Jiten; Willett, Duwayne L; Velasco, Ferdinand; Lehmann, Christoph U; Hedayati, S Susan.
  • McAdams MC; Division of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, MC 8516, Dallas, TX, 75390, USA.
  • Li M; University of Texas Southwestern College of Medicine, Dallas, TX, USA.
  • Xu P; Division of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, MC 8516, Dallas, TX, 75390, USA.
  • Gregg LP; Section of Nephrology, Department of Medicine, Selzman Institute for Kidney Health, Baylor College of Medicine, Houston, TX, USA.
  • Patel J; Section of Nephrology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
  • Willett DL; Development Center for Innovations in Quality, Effectiveness, and Safety, Veterans Affairs Health Services Research, Houston, TX, USA.
  • Velasco F; Division of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, 5939 Harry Hines Blvd, MC 8516, Dallas, TX, 75390, USA.
  • Lehmann CU; Parkland Hospital and Health System, Dallas, TX, USA.
  • Hedayati SS; Division of Cardiology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
BMC Nephrol ; 23(1): 50, 2022 02 01.
Article in English | MEDLINE | ID: covidwho-1666634
ABSTRACT

BACKGROUND:

Acute kidney injury (AKI) is a common complication in patients hospitalized with COVID-19 and may require renal replacement therapy (RRT). Dipstick urinalysis is frequently obtained, but data regarding the prognostic value of hematuria and proteinuria for kidney outcomes is scarce.

METHODS:

Patients with positive severe acute respiratory syndrome-coronavirus 2 (SARS-CoV2) PCR, who had a urinalysis obtained on admission to one of 20 hospitals, were included. Nested models with degree of hematuria and proteinuria were used to predict AKI and RRT during admission. Presence of Chronic Kidney Disease (CKD) and baseline serum creatinine were added to test improvement in model fit.

RESULTS:

Of 5,980 individuals, 829 (13.9%) developed an AKI during admission, and 149 (18.0%) of those with AKI received RRT. Proteinuria and hematuria degrees significantly increased with AKI severity (P < 0.001 for both). Any degree of proteinuria and hematuria was associated with an increased risk of AKI and RRT. In predictive models for AKI, presence of CKD improved the area under the curve (AUC) (95% confidence interval) to 0.73 (0.71, 0.75), P < 0.001, and adding baseline creatinine improved the AUC to 0.85 (0.83, 0.86), P < 0.001, when compared to the base model AUC using only proteinuria and hematuria, AUC = 0.64 (0.62, 0.67). In RRT models, CKD status improved the AUC to 0.78 (0.75, 0.82), P < 0.001, and baseline creatinine improved the AUC to 0.84 (0.80, 0.88), P < 0.001, compared to the base model, AUC = 0.72 (0.68, 0.76). There was no significant improvement in model discrimination when both CKD and baseline serum creatinine were included.

CONCLUSIONS:

Proteinuria and hematuria values on dipstick urinalysis can be utilized to predict AKI and RRT in hospitalized patients with COVID-19. We derived formulas using these two readily available values to help prognosticate kidney outcomes in these patients. Furthermore, the incorporation of CKD or baseline creatinine increases the accuracy of these formulas.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Proteinuria / Urinalysis / Acute Kidney Injury / COVID-19 / Hematuria Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: BMC Nephrol Journal subject: Nephrology Year: 2022 Document Type: Article Affiliation country: S12882-022-02677-Y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Proteinuria / Urinalysis / Acute Kidney Injury / COVID-19 / Hematuria Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: BMC Nephrol Journal subject: Nephrology Year: 2022 Document Type: Article Affiliation country: S12882-022-02677-Y