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Statin use associates with a lower incidence of acute kidney injury after major elective surgery.

ABSTRACT: Statins abrogate ischemic renal injury in animal studies but whether they are renoprotective in humans is unknown. We conducted a population-based retrospective cohort study that included 213,347 older patients who underwent major elective surgery in the province of Ontario, Canada from 1995 to 2008. During the first 14 postoperative days, 1.9% (4020 patients), developed acute kidney injury and 0.5% (1173 patients), required acute dialysis. The 30-day mortality rate was 2.8% (5974 patients). Prior to surgery, 32% of patients were taking a statin. After statistical adjustment for patient and surgical characteristics, statin use associated with 16% lower odds of acute kidney injury (OR, 0.84; 95% CI, 0.79 to 0.90), 17% lower odds of acute dialysis (OR, 0.83; 95% CI, 0.72 to 0.95), and 21% lower odds of mortality (OR, 0.79; 95% CI, 0.74 to 0.85). Propensity score matching produced similar results. These data suggest that statins may protect against renal complications after major elective surgery and reduce perioperative mortality.

SUBMITTER: Molnar AO

PROVIDER: S-EPMC3083315 | biostudies-other | 2011 May

REPOSITORIES: biostudies-other

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Statin use associates with a lower incidence of acute kidney injury after major elective surgery.

Molnar Amber O AO Coca Steven G SG Devereaux Phillip J PJ Jain Arsh K AK Kitchlu Abhijat A Luo Jin J Parikh Chirag R CR Paterson J Michael JM Siddiqui Nausheen N Wald Ron R Walsh Michael M Garg Amit X AX

Journal of the American Society of Nephrology : JASN 20110414 5

Statins abrogate ischemic renal injury in animal studies but whether they are renoprotective in humans is unknown. We conducted a population-based retrospective cohort study that included 213,347 older patients who underwent major elective surgery in the province of Ontario, Canada from 1995 to 2008. During the first 14 postoperative days, 1.9% (4020 patients), developed acute kidney injury and 0.5% (1173 patients), required acute dialysis. The 30-day mortality rate was 2.8% (5974 patients). Pri ...[more]

PMID: 21493769

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Project description:Klotho and Fibroblast Growth Factor (FGF)-23 were recently postulated as candidate biomarkers and/or therapeutic targets in acute kidney injury (AKI). We examined whether urine Klotho and serum intact FGF23 levels were differentially and independently associated with major adverse kidney events (MAKE) in critically ill patients with and without AKI. Single-center, prospective, case-control study. ICU in a tertiary medical center. 54 AKI patients and 52 controls without AKI admitted to the ICU. None. AKI was defined by KDIGO criteria and included only AKI stage ≥2. Controls were matched by age, gender, and baseline eGFR. Paired serum and urine samples were obtained 24-48h after AKI diagnosis (cases) or ICU admission (controls). The primary outcome was 90-day MAKE, which was the composite of all-cause death, dependence on renal replacement therapy or a 50% or higher decrease in eGFR from baseline. Forty-four (41.5%) patients developed MAKE-90. Patients who developed MAKE-90 had more comorbidity, higher acuity of illness scores and more prevalent AKI. Levels of urine Klotho adjusted by creatinine (Cr) were lower and serum intact FGF23 levels were higher in AKI patients vs. ICU controls. In adjusted models, the highest vs. lowest tertile of urine Klotho/Cr was independently associated with an overall 95% lower risk of MAKE-90 (81% lower risk in patients with AKI). The highest vs. lowest tertile of serum intact FGF23 was associated with >300% higher risk of MAKE-90. Urine Klotho/Cr levels were significantly lower and serum intact FGF23 levels significantly higher in critically ill patients with AKI vs. matched-controls without AKI. When measured in the first 48h of ICU admission or AKI diagnosis, urine Klotho/Cr independently associated with major adverse kidney events, particularly in patients with AKI. These results show promise for testing these biomarkers -individually or in combination- as part of novel risk-prediction models of renal outcomes in the ICU.

Project description:BackgroundPostoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning model can inform strategies that mitigate harm and optimize resource use. It is hypothesized that incorporating intraoperative data would improve machine learning model accuracy, discrimination, and precision in predicting acute kidney injury among patients undergoing major vascular surgery.MethodsA single-center retrospective cohort of 1,531 adult patients who underwent nonemergency major vascular surgery, including open aortic, endovascular aortic, and lower extremity bypass procedures, was evaluated. The validated, automated MySurgeryRisk analytics platform used electronic health record data to forecast patient-level probabilistic risk scores for postoperative acute kidney injury using random forest models with preoperative data alone and perioperative data (preoperative plus intraoperative). The MySurgeryRisk predictions were compared with each other as well as with the American Society of Anesthesiologists physical status classification.ResultsMachine learning models using perioperative data had greater accuracy, discrimination, and precision than models using either preoperative data alone or the American Society of Anesthesiologists physical status classification (accuracy: 0.70 vs 0.64 vs 0.62, area under the receiver operating characteristics curve: 0.77 vs 0.68 vs 0.61, area under the precision-recall curve: 0.70 vs 0.58 vs 0.48).ConclusionIn predicting acute kidney injury after major vascular surgery, machine learning approaches that incorporate dynamic intraoperative data had greater accuracy, discrimination, and precision than models using either preoperative data alone or the American Society of Anesthesiologists physical status classification. Machine learning methods have the potential for real-time identification of high-risk patients who may benefit from personalized risk-reduction strategies.

Dataset Information

Statin use associates with a lower incidence of acute kidney injury after major elective surgery.

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Statin use associates with a lower incidence of acute kidney injury after major elective surgery.

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