Predicting Renal Recovery After Dialysis-Requiring Acute Kidney Injury
Benjamin J. Lee; Chi‐yuan Hsu; Rishi Parikh; Charles E. McCulloch; Thida C. Tan; Kathleen D. Liu; Raymond K. Hsu; Leonid Pravoverov · 2019 · Kidney International Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
INTRODUCTION: After dialysis-requiring acute kidney injury (AKI-D), recovery of sufficient kidney function to discontinue dialysis is an important clinical and patient-oriented outcome. Predicting the probability of recovery in individual patients is a common dilemma. METHODS: This cohort study examined all adult members of Kaiser Permanente Northern California who experienced AKI-D between January 2009 and September 2015 and had predicted inpatient mortality of <20%. Candidate predictors included demographic characteristics, comorbidities, laboratory values, and medication use. We used logist
Abstract by Benjamin J. Lee; Chi‐yuan Hsu; Rishi Parikh; Charles E. McCulloch; Thida C. Tan; Kathleen D. Liu; Raymond K. Hsu; Leonid Pravoverov, Kidney International Reports (2019) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1016/j.ekir.2019.01.015