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PREDICTION OF ACUTE KIDNEY INJURY IN PATIENTS UNDERGOING CORONARY INTERVENTION USING CALCULATION OF SERUM OSMOLALITY
1373 JACC March 21, 2017 Volume 69, Issue 11
Interventional Cardiology PREDICTION OF ACUTE KIDNEY INJURY IN PATIENTS UNDERGOING CORONARY INTERVENTION USING CALCULATION OF SERUM OSMOLALITY Poster Contributions Poster Hall, Hall C Sunday, March 19, 2017, 9:45 a.m.-10:30 a.m. Session Title: Interventional Complexity and Complications Abstract Category: 26. Interventional Cardiology: Vascular Access and Complications Presentation Number: 1285-184 Authors: Serdar Farhan, Madhav Sharma, Shrema Parikh, Birgit Vogel, Usman Baber, Samantha Sartori, Michela Faggioni, Jaya Chandrasekhar, Sabato Sorrentino, Choudhury Hasan, Nitin Barman, Pooja Vijay, Srushti Shah, Jason Kovacic, Pedro Moreno, Gennaro Giustino, George Dangas, Roxana Mehran, Annapoorna Kini, Samin Sharma, Interventional Cardiovascular Research and Clinical Trials, Icahn School of Medicine at Mount Sinai, New York, NY, USA Background: Acute Kidney Injury (AKI) is a frequent complication after percutaneous coronary intervention (PCI) and is associated with worse outcome. Whether serum osmolality can predict development of AKI, is unknown. We investigated the relationship between serum osmolality at admission and AKI in patients referred for PCI.
Methods: We investigated 1363 patients undergoing PCI from a large single center registry. Patients were divided into quartiles according to serum osmolality at admission. Serum osmolality was calculated according the following equation {osmolality= 1.86x [Na (mmol/L)] + [Glucose (mg/dL)] + [BUN (mg/dL)/2.8] + 9}. AKI was defined according to Kidney Disease Improving Global Outcome (KDIGO).
Results: Patients with highest osmolality (4th quartile) were older, more frequently female and more often presented with diabetes, hypertension, chronic kidney disease, peripheral artery disease and cerebrovascular disease. Patients with highest osmolality developed AKI more frequently compared to the other quartiles (Figure). In an adjusted logistic regression analysis, serum osmolality independently predicted the development of AKI. (Odds Ratio 2.30, 95% confidence interval 1.29-4.10; p=0.005).
Conclusions: High serum osmolality is an independent predictor of AKI in patients undergoing PCI. Therefore serum osmolality may serve as a tool for risk stratification for predicting AKI in patients undergoing PCI.
Interventional Cardiology PREDICTION OF ACUTE KIDNEY INJURY IN PATIENTS UNDERGOING CORONARY INTERVENTION USING CALCULATION OF SERUM OSMOLALITY Poster Contributions Poster Hall, Hall C Sunday, March 19, 2017, 9:45 a.m.-10:30 a.m. Session Title: Interventional Complexity and Complications Abstract Category: 26. Interventional Cardiology: Vascular Access and Complications Presentation Number: 1285-184 Authors: Serdar Farhan, Madhav Sharma, Shrema Parikh, Birgit Vogel, Usman Baber, Samantha Sartori, Michela Faggioni, Jaya Chandrasekhar, Sabato Sorrentino, Choudhury Hasan, Nitin Barman, Pooja Vijay, Srushti Shah, Jason Kovacic, Pedro Moreno, Gennaro Giustino, George Dangas, Roxana Mehran, Annapoorna Kini, Samin Sharma, Interventional Cardiovascular Research and Clinical Trials, Icahn School of Medicine at Mount Sinai, New York, NY, USA Background: Acute Kidney Injury (AKI) is a frequent complication after percutaneous coronary intervention (PCI) and is associated with worse outcome. Whether serum osmolality can predict development of AKI, is unknown. We investigated the relationship between serum osmolality at admission and AKI in patients referred for PCI.
Methods: We investigated 1363 patients undergoing PCI from a large single center registry. Patients were divided into quartiles according to serum osmolality at admission. Serum osmolality was calculated according the following equation {osmolality= 1.86x [Na (mmol/L)] + [Glucose (mg/dL)] + [BUN (mg/dL)/2.8] + 9}. AKI was defined according to Kidney Disease Improving Global Outcome (KDIGO).
Results: Patients with highest osmolality (4th quartile) were older, more frequently female and more often presented with diabetes, hypertension, chronic kidney disease, peripheral artery disease and cerebrovascular disease. Patients with highest osmolality developed AKI more frequently compared to the other quartiles (Figure). In an adjusted logistic regression analysis, serum osmolality independently predicted the development of AKI. (Odds Ratio 2.30, 95% confidence interval 1.29-4.10; p=0.005).
Conclusions: High serum osmolality is an independent predictor of AKI in patients undergoing PCI. Therefore serum osmolality may serve as a tool for risk stratification for predicting AKI in patients undergoing PCI.