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J Med Syst. 2016 Jul;40(7):167. doi: 10.1007/s10916-016-0528-z. Epub 2016 May 27.

Identification of Major Adverse Kidney Events Within the Electronic Health Record.

Author information

1
Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, 1161 21st Ave S., T-2220 MCN, Nashville, TN, 37232-2650, USA. matthew.w.semler@vanderbilt.edu.
2
Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, 1161 21st Ave S., T-2220 MCN, Nashville, TN, 37232-2650, USA.
3
Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
4
Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI (VIP-AKI), Vanderbilt University Medical Center, Nashville, TN, USA.
5
Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
6
Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
7
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.

Abstract

Acute kidney injury is common among critically ill adults and is associated with increased mortality and morbidity. The Major Adverse Kidney Events by 30 days (MAKE30) composite of death, new renal replacement therapy, or persistent renal dysfunction is recommended as a patient-centered outcome for pragmatic trials involving acute kidney injury. Accurate electronic detection of the MAKE30 endpoint using data within the electronic health record (EHR) could facilitate the use of the EHR in large-scale kidney injury research. In an observational study using prospectively collected data from 200 admissions to a single medical intensive care unit, we tested the performance of electronically-extracted data in identifying the MAKE30 composite compared to the reference standard of two-physician manual chart review. The incidence of MAKE30 on manual-review was 16 %, which included 8.5 % for in-hospital mortality, 3.5 % for new renal replacement therapy, and 8.5 % for persistent renal dysfunction. There was strong agreement between the electronic and manual assessment of MAKE30 (98.5 % agreement [95 % CI 96.5-100.0 %]; kappa 0.95 [95 % CI 0.87-1.00]; P < 0.001), with only three patients misclassified by electronic assessment. Performance of the electronic MAKE30 assessment was similar among patients with and without CKD and with and without a measured serum creatinine in the 12 months prior to hospital admission. In summary, accurately identifying the MAKE30 composite outcome using EHR data collected as a part of routine care appears feasible.

KEYWORDS:

Acute kidney injury; Electronic health record; Intensive care unit; Major adverse kidney events

PMID:
27234478
PMCID:
PMC5791539
DOI:
10.1007/s10916-016-0528-z
[Indexed for MEDLINE]
Free PMC Article

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