Percentage of patients that the baseline creatinine increases more than 1.5 times within 7 postoperative days or the baseline creatinine level increases by = 0.3 mg/dL within 48 hours postoperatively.
Acute kidney injury is a serious complication following non-cardiac surgery and is associated with an increased risk of in-hospital mortality. The development of AKI is known to increase patient care demands, accounting for 20% of intensive care unit (ICU) admissions, and significantly increasing hospital cost, length of stay, and mortality. Definitions and classification schema for AKI vary across current literature; most commonly, these include the Risk/Injury/Failure/Loss/End-stage (RIFLE), Acute Kidney Injury Network (AKIN), and Kidney Disease-Improving Global Outcomes (KDIGO) criteria. This measure most closely aligns with KDIGO AKI criteria, with exceptions of: a) not considering postoperative urine output or renal replacement therapy components of the definition (data are commonly unavailable); b) not considering cases in which a ≥ 0.3 mg/dL increase in serum creatinine level occurred greater than 48 hours but less than 7 days postoperative.
Up to 48 hours postoperatively.
All anesthetic cases.
*Cases where the ‘Measure End Time’ precedes ‘Measure Start Time’ will be excluded and marked 'invalid'
1. The creatinine level does not go above 1.5x the baseline creatinine within 7 days post-op
2. The creatinine level does not increase by ≥ 0.3 mg/dL obtained within 48 hours after anesthesia end.
Only valid creatinine values (≥0.2 mg/dL and ≤25.00 mg/dL) used. Method for calculating EGFR dependent on age and availability of patient race data (see Preop EGFR (most recent)):
The AKI stage definitions can be viewed in detail here: AKI Phenotype Specification
Risk of progression to CKD is available per case in the 'Measure Case Report Tool'. Further details available here.
To evaluate provider-level risk adjustment we will calculate the observed to expected outcomes ratio (O/E). The O/E is calculated using a logistic regression model and predicts (given a set list of dependent patient and hospital level variables) the expected probability of having a kidney injury. We adjust for surgery risk score, emergent procedures, ASA, gender, age, body mass index, laboratory values, and teaching versus private hospital. Patient specific comorbidities are evaluated as well.
Creatinine Labs
Patient Characteristics
Measure Author | Institution |
Mike Mathis, MD |
University of Michigan |
Nirav Shah, MD |
University of Michigan |
Jamie Osborne, RN |
University of Michigan |
Kate Buehler, MS, RN |
University of Michigan |
Anik Sinha |
University of Michigan |
MPOG Quality Committee |
Date Reviewed | Reviewer | Institution | Summary | QC Vote |
---|---|---|---|---|
10/26/2020 |
Mike Mathis, MD Mike Aziz, MD Bishr Haydar, MD |
University of Michigan OHSU University of Michigan |
Review | No Change |
Date | Criteria | Revision |
---|---|---|
4/11/2023 | Exclusion | Case Duration < 45 minutes updated to use Surgery Duration algorithm. |
9/20/2021 | Exclusion | Replaced Electroconvulsive Therapy CPT codes with new ECT phenotype |
11/1/2019 | Exclusion | Preop Cr < 0.3 (Adult) or < 0.2 (Pediatric) |