Literature DB >> 20089493

Urine microscopy is associated with severity and worsening of acute kidney injury in hospitalized patients.

Mark A Perazella1, Steven G Coca, Isaac E Hall, Umo Iyanam, Madiha Koraishy, Chirag R Parikh.   

Abstract

BACKGROUND AND OBJECTIVES: Serum creatinine concentration at the time of nephrology consultation is not necessarily indicative of the severity of acute kidney injury (AKI). Although urine microscopy is useful to differentiate AKI, its role in predicting adverse clinical outcomes has not been well described. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The relationship between urine microscopy findings at the time of nephrology consultation for AKI and clinical outcomes was evaluated prospectively. A urinary sediment scoring system was created on the basis of the number of renal tubular epithelial cells and granular casts. The primary outcome was worsening of AKI (progressing to higher AKI Network stage, dialysis, or death) during hospitalization.
RESULTS: Of 249 patients consulted for AKI, 197 had acute tubular necrosis or prerenal AKI and were included in the analysis. At consultation, 80 (40%) had stage 1, 53 (27%) had stage 2, and 66 (33%) had stage 3 AKI. The urinary sediment combined scores were lowest in those with stage 1 and highest in stage 3 AKI. Seventy-nine patients (40%) experienced worsening of AKI from the time of consultation. The urinary scoring system was significantly associated with increased risk of worsening AKI (adjusted relative risk: 7.3; 95% confidence interval: 4.5 to 9.7 for worsening with score of > or =3 versus score of 0) and was more predictive than AKI Network stage at the time of consultation.
CONCLUSIONS: The urinary sediment score may be a useful tool to predict worsening of AKI due to either acute tubular necrosis or prerenal AKI during hospitalization.

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Year:  2010        PMID: 20089493      PMCID: PMC2827582          DOI: 10.2215/CJN.06960909

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


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