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Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data.

ABSTRACT: Importance:Acute kidney injury (AKI) is one of the most common complications after noncardiac surgery. Yet current postoperative AKI risk stratification models have substantial limitations, such as limited use of perioperative data. Objective:To examine whether adding preoperative and intraoperative data is associated with improved prediction of noncardiac postoperative AKI. Design, Setting, and Participants:A prognostic study using logistic regression with elastic net selection, gradient boosting machine (GBM), and random forest approaches was conducted at 4 tertiary academic hospitals in the United States. A total of 42?615 hospitalized adults with serum creatinine measurements who underwent major noncardiac surgery between January 1, 2014, and April 30, 2018, were included in the study. Serum creatinine measurements from 365 days before and 7 days after surgery were used in this study. Main Outcomes and Measures:Postoperative AKI (defined by the Kidney Disease Improving Global Outcomes within 7 days after surgery) was the primary outcome. The area under the receiver operating characteristic curve (AUC) was used to assess discrimination. Results:Among 42?615 patients who underwent noncardiac surgery, the mean (SD) age was 57.9 (15.7) years, 23?943 (56.2%) were women, 27?857 (65.4%) were white, and the most frequent surgery types were orthopedic (15?718 [36.9%]), general (8808 [20.7%]), and neurologic (6564 [15.4%]). The rate of postoperative AKI was 10.1% (n?=?4318). The progressive addition of clinical data improved model performance across all modeling approaches, with GBM providing the highest discrimination by AUC. In GBM models, the AUC increased from 0.712 (95% CI, 0.694-0.731) using prehospitalization variables to 0.804 (95% CI, 0.788-0.819) using preoperative variables (inclusive of prehospitalization variables) (P?

SUBMITTER: Lei VJ

PROVIDER: S-EPMC6902769 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data.

Lei Victor J VJ Luong ThaiBinh T Shan Eric E Chen Xinwei X Neuman Mark D MD Eneanya Nwamaka D ND Polsky Daniel E DE Volpp Kevin G KG Fleisher Lee A LA Holmes John H JH Navathe Amol S AS

JAMA network open 20191202 12

<h4>Importance</h4>Acute kidney injury (AKI) is one of the most common complications after noncardiac surgery. Yet current postoperative AKI risk stratification models have substantial limitations, such as limited use of perioperative data.<h4>Objective</h4>To examine whether adding preoperative and intraoperative data is associated with improved prediction of noncardiac postoperative AKI.<h4>Design, setting, and participants</h4>A prognostic study using logistic regression with elastic net sele ...[more]

PMID: 31808922

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Project description:OBJECTIVES:Acute kidney injury is a common complication of major surgery. However, acute kidney injury occurring within the first 48 hours after surgery (early acute kidney injury) and therefore likely related to the surgery itself is possibly different from acute kidney injury occurring after 48 hours (late acute kidney injury). The aim of this study was to describe the epidemiology and identify differences in risk factors and outcomes between early and late acute kidney injury following major surgery. DESIGN:Retrospective cohort study. SETTING:Academic Medical Center. PATIENTS:Patients admitted to ICU following noncardiac major surgery. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:We analyzed data from 3,499 patients and defined acute kidney injury according to full Kidney Disease: Improving Global Outcomes criteria and classified as early (48?hr or less) or late (> 48?hr to 7 d) based on time from surgery. Separate multivariable logistic regression models were fit to identify risk factors of early acute kidney injury compared with no acute kidney injury and risk factors of late acute kidney injury compared with no acute kidney injury. Overall 41.7% (1,459/3,499) developed early acute kidney injury versus 14.4% (504/3,499) late acute kidney injury. Most acute kidney injury occurred within 48 hours following surgery and 12 hours was the peak interval. Risk factors for early acute kidney injury included increased age, body mass index, decreased estimated glomerular filtration rate, and anemia, whereas late acute kidney injury cases were closely associated with postoperative factors, like sepsis, mechanical ventilation, positive fluid balance, blood transfusions and exposure to diuretics, vasopressors, and nonsteroidal anti-inflammatory drugs. After adjusting for age, body mass index, estimated glomerular filtration rate, comorbidities, surgery type, both early acute kidney injury (odds ratio [95% CI], 1.84 [1.50-2.27]) and late acute kidney injury (odds ratio [95% CI], 1.42 [1.09-1.85]) were associated with higher 1-year mortality compared with patients without acute kidney injury. We found similar results in a validation cohort of 10,723 patients admitted between 2008 and 2014. CONCLUSIONS:Most surgery-related acute kidney injury occurred within 48 hours of surgery. Acute kidney injury occurring within the first 48 hours was associated with underlying health, whereas acute kidney injury occurring after 48 hours was related to postoperative complications or drugs. Design of clinical and experimental interventions for acute kidney injury in this population should consider these differences.

Project description:Background and objectivesHigh BP variability may cause AKI because of inappropriate kidney perfusion. This study aimed to investigate the association between intraoperative BP variability and postoperative AKI in patients who underwent noncardiac surgery.Design, setting, participants, & measurementsWe performed a cohort study of adults undergoing noncardiac surgery in hospitals in South Korea. We studied three cohorts using the following recording windows for intraoperative BP: discovery cohort, 1-minute intervals; first validation cohort, 5-minute intervals; and second validation cohort, 2-second intervals. We calculated four variability parameters (SD, coefficient of variation, variation independent of mean, and average real variability) based on the measured mean arterial pressure values. The primary outcomes were postoperative AKI (defined by the Kidney Disease Improving Global Outcomes serum creatinine cutoffs) and critical AKI (consisting of stage 2 or higher AKI and post-AKI death or dialysis within 90 days).ResultsIn the three cohorts, 45,520, 29,704, and 7435 patients were analyzed, each with 2230 (443 critical), 1552 (444 critical), and 300 (91 critical) postoperative AKI events, respectively. In the discovery cohort, all variability parameters were significantly associated with risk of AKI, even after adjusting for intraoperative hypotension. For example, average real variability was associated with higher risks of postoperative AKI (adjusted odds ratio, 1.13 per 1 SD increment; 95% CI, 1.07 to 1.19) and critical AKI (adjusted odds ratio, 1.13 per 1 SD increment; 95% CI, 1.02 to 1.26). Associations were evident predominantly among patients who also experienced intraoperative hypotension. In the validation analysis with 5-minute-interval BP records, all four variability parameters were associated with the risk of postoperative AKI or critical AKI. In the validation cohort with 2-second-interval BP records, average real variability was the only significant variability parameter.ConclusionsHigher intraoperative BP variability is associated with higher risks of postoperative AKI after noncardiac surgery, independent of hypotension and other clinical characteristics.

Project description:BackgroundThe association between malnutrition and postoperative acute kidney injury (AKI) has not been well studied. In this study, the authors examined the association between preoperative nutritional status and postoperative AKI in older patients who underwent major abdominal surgery, as well as the predictive value of malnutrition for AKI.Materials and methodsThe authors retrospectively included patients aged 65 or older who underwent major elective abdominal surgery. The nutritional status of the patient was evaluated using three objective nutritional indices, such as the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT). AKI was determined using the KDIGO criteria. The authors performed logistic regression analysis to investigate the association between preoperative nutritional status and postoperative AKI, as well as the predictive value of nutritional scores for postoperative AKI.ResultsA total of 2775 patients were included in the study, of which 707 (25.5%), 291 (10.5%), and 517 (18.6%) had moderate to severe malnutrition according to GNRI, PNI, and CONUT calculations. After surgery, 144 (5.2%) patients developed AKI, 86.1% at stage 1, 11.1% at stage 2, and 2.8% at stage 3 as determined by KDIGO criteria. After adjustment for traditional risk factors, worse nutritional scores were associated with a higher AKI risk. In addition to traditional risk factors, these nutritional indices improved the predictive ability of AKI prediction models, as demonstrated by significant improvements in integrated discrimination and net reclassification.ConclusionsPoor preoperative nutritional status, as assessed by GNRI, PNI, and CONUT scores, was associated with an increased risk of postoperative AKI. Incorporating these scores into AKI prediction models improved their performance. These findings emphasize the need for screening surgical patients for malnutrition risk. Further research is needed to determine whether preoperative malnutrition assessment and intervention can reduce postoperative AKI incidence.

Dataset Information

Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data.

Publications

Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data.

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