BACKGROUND: Postoperative acute kidney injury (AKI) is a cause of morbidity and mortality. Its diagnosis requires better markers than variations in diuresis or postoperative serum creatinine. OBJECTIVES: The aim of this study was to evaluate the accuracy of Doppler renal resistive index for early detection of AKI after hip or knee arthroplasty. DESIGN: A prospective observational study. SETTING: A single-centre study in a university hospital. PATIENTS: Fifty men and women older than 65 years, requiring hip or knee replacement with at least two perioperative AKI risk factors, including diabetes, arteritis, chronic heart or renal dysfunction, and prescription of angiotensin-converting enzyme (ACE) inhibitors. Exclusion criteria were poor abdominal echogenicity, arrhythmia, respiratory failure or agitation. INTERVENTION: Renal resistive index was measured preoperatively and in the postanaesthesia care unit. RESULTS: Sixteen patients presented with AKI in the postoperative period. Resistive index was increased in this group in both the preoperative [0.72 (0.69 to 0.73) vs. 0.66 (0.58 to 0.71); P = 0.01] and postoperative periods [0.75 (0.71 to 0.75) vs. 0.67 (0.62 to 0.72); P = 0.0001]. Resistive index evaluated by ROC curves and AUC to detect AKI was 0.862 [95% confidence interval (95% CI) 0.735 to 0.943]. The most accurate cut-off value was a postoperative resistive index of 0.705 (sensitivity = 94%, specificity = 71%, LR+ = 3.19 and LR- = 0.09). The grey area between 0.705 and 0.73, corresponding to the inconclusive zone, included 26% (13/50) of all the patients. CONCLUSION: Postoperative resistive index appears to be effective for early detection of AKI after major orthopaedic surgery. Resistive index can be measured in the postoperative care unit in patients at risk of AKI. TRIAL REGISTRATION NUMBER: 29-0512.
BACKGROUND: Postoperative acute kidney injury (AKI) is a cause of morbidity and mortality. Its diagnosis requires better markers than variations in diuresis or postoperative serum creatinine. OBJECTIVES: The aim of this study was to evaluate the accuracy of Doppler renal resistive index for early detection of AKI after hip or knee arthroplasty. DESIGN: A prospective observational study. SETTING: A single-centre study in a university hospital. PATIENTS: Fifty men and women older than 65 years, requiring hip or knee replacement with at least two perioperative AKI risk factors, including diabetes, arteritis, chronic heart or renal dysfunction, and prescription of angiotensin-converting enzyme (ACE) inhibitors. Exclusion criteria were poor abdominal echogenicity, arrhythmia, respiratory failure or agitation. INTERVENTION: Renal resistive index was measured preoperatively and in the postanaesthesia care unit. RESULTS: Sixteen patients presented with AKI in the postoperative period. Resistive index was increased in this group in both the preoperative [0.72 (0.69 to 0.73) vs. 0.66 (0.58 to 0.71); P = 0.01] and postoperative periods [0.75 (0.71 to 0.75) vs. 0.67 (0.62 to 0.72); P = 0.0001]. Resistive index evaluated by ROC curves and AUC to detect AKI was 0.862 [95% confidence interval (95% CI) 0.735 to 0.943]. The most accurate cut-off value was a postoperative resistive index of 0.705 (sensitivity = 94%, specificity = 71%, LR+ = 3.19 and LR- = 0.09). The grey area between 0.705 and 0.73, corresponding to the inconclusive zone, included 26% (13/50) of all the patients. CONCLUSION: Postoperative resistive index appears to be effective for early detection of AKI after major orthopaedic surgery. Resistive index can be measured in the postoperative care unit in patients at risk of AKI. TRIAL REGISTRATION NUMBER: 29-0512.
Authors: Benjamin Y Andrew; Elias Y Andrew; Anne D Cherry; Jennifer N Hauck; Alina Nicoara; Carl F Pieper; Mark Stafford-Smith Journal: J Cardiothorac Vasc Anesth Date: 2018-04-04 Impact factor: 2.628
Authors: Benjamin Y Andrew; Anne D Cherry; Jennifer N Hauck; Alina Nicoara; Cory D Maxwell; Ryan M Konoske; Annemarie Thompson; Lakshmi D Kartha; Madhav Swaminathan; Mark Stafford-Smith Journal: Ann Thorac Surg Date: 2018-02-07 Impact factor: 4.330
Authors: Anne D Cherry; Jennifer N Hauck; Benjamin Y Andrew; Yi-Ju Li; Jamie R Privratsky; Lakshmi D Kartha; Alina Nicoara; Annemarie Thompson; Joseph P Mathew; Mark Stafford-Smith Journal: J Clin Anesth Date: 2019-11-04 Impact factor: 9.452
Authors: Jelle L G Haitsma Mulier; Sander Rozemeijer; Jantine G Röttgering; Angelique M E Spoelstra-de Man; Paul W G Elbers; Pieter Roel Tuinman; Monique C de Waard; Heleen M Oudemans-van Straaten Journal: PLoS One Date: 2018-06-11 Impact factor: 3.240