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Background:Acute kidney injury (AKI) is a common complication after on pump coronary artery bypass grafting (CABG) surgery and is associated with a poor prognosis. Postoperative AKI is associated with morbidity, mortality, and increase in length of intensive care unit (ICU) stay and increases the financial burden. Identifying individuals at risk for developing AKI in postoperative period is extremely important to optimize outcomes. The aim of the study is to evaluate the association between the intraoperative transesophageal echocardiography (TEE) derived renal resistive index (RRI) and AKI in patients undergoing on?pump CABG surgery. Methods: This prospective observational study was conducted in patients more than 18 years of age undergoing elective on pump CABG surgery between July 1, 2018, and December 31, 2019, at a tertiary care center. All preoperative, intraoperative, and postoperative parameters were recorded. TEE measurement was performed in hemodynamically stable patients before the sternum was opened. Postoperative AKI was diagnosed based on the serial measurement of serum creatinine and the monitoring of urine output. Results: A total of 115 patients were included in our study. Thirty?nine (33.91%) patients had RRI >0.7 while remaining seventy?six (66.08%) patients had RRI <0.7. AKI was diagnosed in 26% (30/115) patients. AKI rates were significantly higher in patients with RRI values exceeding 0.7 with 46.15% (18/39) compared to 15.75% (12/76) in RRI values of less than 0.7. Multivariate analysis revealed that AKI was associated with an increase in RRI and diabetes mellitus. The RRI assessed by receiver operating characteristic (ROC) curve and the area under the curve (AUC) to distinguish between non?AKI and AKI groups were 0.705 (95% CI: 0.588–0.826) for preoperative RRI. The most accurate cut?off value to distinguish non?AKI and AKI groups was a preoperative RRI of 0.68 with a sensitivity of 70% and specificity of 67%. Conclusions: An increased intraoperative RRI is an independent predictor of AKI in the postoperative period in patients undergoing CABG surgery. The cutoff value of TEE?derived RRI in the intraoperative period should be >0.68 to predict AKI in the postoperative period.
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ABSTRACT Objective: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age. The renal resistive index (RRI) is a measure of renal arterial resistance to blood flow. The aim of this study was to investigate the renal resistive index levels of patients with PCOS. Subjects and methods: A total of 216 women were included in this cross-sectional study. The study group consisted of 109 patients with PCOS, and the control group consisted of 107 healthy subjects. The RRI of all subjects was measured using renal Doppler ultrasonography. Results: The patients with PCOS had higher RRI levels in comparison to the healthy subjects (0.64 ± 0.06 vs. 0.57 ± 0.06, p < 0.001). The RRI levels of the patients with PCOS were correlated with systolic blood pressure (p = 0.004, r = 0.268) and with homeostasis model assessment of insulin resistance (HOMA-IR) (p = 0.02, r = 0.216). Conclusion: In this study, we observed higher RRI levels in patients with PCOS. High RRI levels may be an indicator of cardiovascular and/or cardiovascular-associated diseases in patients with PCOS.
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Humans , Male , Female , Adult , Polycystic Ovary Syndrome/physiopathology , Kidney/physiopathology , Blood Pressure , Insulin Resistance , Cross-Sectional Studies , Ultrasonography, Doppler, Color , Kidney/diagnostic imagingABSTRACT
To investigate the value of renal resistive index (RRI) in early predictor and discriminator of severe acute pancreatitis (SAP)-related acute kidney injury (AKI). Methods A retrospective observational study was conducted. SAP patients complicated with AKI (within 1 week of onset) and admitted to intensive care unit (ICU) of Ruijin Hospital Shanghai Jiaotong University School of Medicine from January 2016 to June 2019 were enrolled. The RRI within 24 hours admission was measured. Clinical data such as acute physiology and chronic health evaluation Ⅱ(APACHEⅡ), heart rate (HR), mean arterial pressure (MAP), central venous pressure (CVP), intra-abdominal pressure (IAP), arterial blood lactate (Lac), oxygenation index (PaO2/FiO2), base excess (BE), serum creatinine (SCr), urine output, norepinephrine (NE) and RRI were collected. Within 24 hours and 7 days after ICU admission, patients were grouped according to AKI classification criteria of Kidney Disease: Improving Global Outcomes (KDIGO), and the differences of relevant parameters were statistically analyzed. Influence factors of AKI grading were screened by Logistic regression analysis. Pearson correlation analysis was used to analyze the correlation between RRI and other parameters. The predictive value of RRI for AKI classification was analyzed by receiver operating characteristic (ROC) curve. Results A total 57 patients were included, with an average age of (54.6±13.5) years old, and APACHEⅡscore of 21.8±5.6. Within 24 hours, the number of patients suffered from stage 1-3 AKI were 19 (33.3%), 18 (31.6%) and 20 (35.1%), respectively. On day 7, the number of patients suffered from stage 0-3 AKI were 21 (36.9%), 8 (14.0%), 9 (15.8%) and 19 (33.3%), respectively. The higher APACHEⅡ score, CVP, IAP, Lac, NE dosage and RRI were found in the group with higher AKI grades, especially in the group with stage 3 AKI on day 7. RRI of patients with stage 3 AKI was significantly higher than that of patients with stage 1 and 2 AKI within 24 hours (0.74±0.04 vs. 0.65±0.05, 0.68±0.05, both P < 0.05). Similarly, RRI of patients with stage 2 and 3 AKI were significantly higher than that of patients with stage 0 and 1 AKI on day 7 (0.70±0.04, 0.74±0.04 vs. 0.65±0.05, 0.66±0.05, all P < 0.05). Multivariate Logistic regression analysis showed that RRI was an independent factor of AKI classification [odds ratio (OR) = 3.15, 95% confidence interval (95%CI) = 1.09-9.04, P < 0.05], and IAP and CVP also had significant impacts on AKI grading [OR value was 2.11 (95%CI = 1.16-4.22), 3.78 (95%CI = 1.21-12.90), both P < 0.05]. ROC curve analysis showed that the area under curve (AUC) of RRI for predicting AKI ≥2 stage was 0.87 (P < 0.05); the cut-off ﹥ 0.71, sensitivity was 71% and specificity was 83%. The correlation analysis showed that RRI was positively correlated to a certain extent with IAP and lactic acid (r1 = 0.49, r2 = 0.39, both P < 0.05). Conclusion High RRI on ICU admission was a significant predictor for development of severe AKI during the first week, and RRI can help predict the tendency of AKI in SAP.
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Objective@#To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis.@*Methods@#A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3.@*Results@#Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor.@*Conclusions@#RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis. Methods A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease:Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3. Results Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor. Conclusions RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective To explore the predicting performance of renal resistive index (RRI), semi quantitative power Doppler ultrasound (PDU) score and serum cystatin C (Cys C) for acute kidney injury (AKI) in patients with cardiac failure or sepsis. Methods A prospective, observational study was conducted. Critically ill patients with acute cardiac failure or sepsis admitted to the emergency intensive care unit (ICU) of Cangzhou Central Hospital from January 1st to December 31st in 2018 were enrolled. In addition to the demographic data, serum Cys C, RRI, and PDU score were measured within 6 hours after admission to ICU. Renal function was assessed on day 5 according to Kidney Disease:Improving Global Outcomes (KDIGO) criteria. Patients who proceeded to AKI stage 2 or 3 within 5 days from admission were defined as the AKI 2-3 group; other patients were classified into the AKI 0-1 group. The differences of each index were compared in all patients, cardiac failure patients and sepsis patients between the two groups. Multivariate binary Logistic regression was carried out to identify the independent risk predictors of AKI 2-3. Receiver operator characteristic (ROC) curves were plotted to examine the values of Cys C, RRI, PDU score, and RRI+PDU in predicting AKI 2-3. Results Thirty-seven patients with cardiac failure (11 with no AKI, 10 with AKI stage 1, 3 with AKI stage 2, and 13 with AKI stage 3) and 26 patients with sepsis (8 with no AKI, 2 with AKI stage 1, 7 with AKI stage 2, and 9 with AKI stage 3) were recruited. In all patients as well as the subgroup of cardiac failure, compared with the AKI 0-1 group, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score, sequential organ failure assessment (SOFA) score, rate of continuous renal replacement therapy (CRRT), 28-day mortality, serum creatinine (SCr), Cys C and RRI were higher in AKI 2-3 group, and urine output, PDU score were lower; in the subgroup of sepsis, rate of CRRT, SCr, and Cys C were higher in AKI 2-3 group, and urine output was lower. Multivariate Logistic regression analysis found that Cys C and PDU score were independent risk factors for AKI 2-3 in all patients [Cys C: odds ratio (OR) = 11.294, 95% confidence interval (95%CI) was 2.801-45.541, P = 0.001; PDU score: OR = 0.187, 95%CI was 0.056-0.627, P = 0.007]; RRI and PDU score were independent risk factors for AKI 2-3 in patients with cardiac failure [RRI (×10): OR = 6.172, 95%CI was 0.883-43.153, P = 0.067; PDU score: OR = 0.063, 95%CI was 0.007-0.584, P = 0.015]; Cys C was the independent risk factor for AKI 2-3 in patients with sepsis (OR = 22.830, 95%CI was 1.345-387.623, P = 0.030). It was shown by ROC curve analysis that: in the subgroup of cardiac failure, the predictive values of RRI, PDU score and Cys C were well [area under the curve (AUC) and 95%CI was 0.839 (0.673-0.942), 0.894 (0.749-0.971), 0.777 (0.610-0.897), all P < 0.01]. RRI+PDU performed best in predicting AKI (AUC = 0.956, 95%CI was 0.825-0.997, P < 0.01), and the predictive value was higher than Cys C [AUC (95%CI): 0.956 (0.825-0.997) vs. 0.777 (0.610-0.897), P = 0.034]. In the subgroup of sepsis, the predictive value of Cys C was well (AUC = 0.913, 95%CI was 0.735-0.987, P < 0.01), however, the predictive value of RRI, PDU, RRI+PDU were poor. Conclusions RRI and PDU score effectively predict AKI stage 2 or 3 in cardiac failure patients, but not in patients with sepsis. The predictive values of Cys C for AKI are similar in patients with cardiac failure or sepsis.
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Objective To explore the correlations between renal artery resistance index (RRI) and renal function in patients with thrombotic microangiopathy (TMA) so as to provide the clinical basis for predictable diagnosis and treatment in patients with acute kidney injury (AKI).Methods Patients diagnosed with thrombotic microangiopathy admitted to department of emergency of Peking Union Medical College Hospital between August 1st,2014 and March 31th,2015 were enrolled.Intrarenal arteries resistive index of right kidney was detected in all cases on admission by color Doppler flow image.The serum creatinine (SCR) and glomerular fihration rate (GFR) were measured at the same time.According to the diagnostic criteria of the guideline of Kidney Disease:Improving Global Outcomes 2012 (KDIGO-AKI 2012),patients were divided into non-AKI group and AKI group.The intergroup difference was compared and the correlation between RRI and SCR as well as between RRI and GFR were assessed.RRI,SCR and GFR were measured again at the most severe stage of kidney injury.The above index were marked as RRI*,SCR and GFRmin.At the same time,△RRI (RRI*-RRI),△SCR (SCRmax-SCR) and △GFR (GFR-GFRmin) were calculated.According to the stage classification of KDIGO-AKI 2012,36 patients diagnosed with AKI during their hospitalization were divided into KDIGO-1 group (n =10),KDIGO-2 group (n =10) or KDIGO-3 group (n =16).The intergroup difference of RRI* was compared and the correlation between △RRI and △SCR as well as between △RRI and △GFR were assessed.Results When RRI ＞ 0.7 was used as the diagnostic threshold for AKI,the sensitivity was 92.3％ and the specificity was 80.1％.RRI was positively correlated with SCR (r1 =-0.728,P＜0.01;r2=-0.709,P＜0.01) and negatively correlated with GFR (r1 =-0.728,P＜0.01;r2 =-0.709,P ＜0.01) in all patients at the time of admission and the most severe stage of kidney injury.While there was a significant difference in the RRI* among KDIGO-1,KDIGO-2 and KDIGO-3 groups (F =37.979,P =0.Q01),and there was no significant difference in △RRI (F =0.634,P =0.537).The △RRI was not correlated with △GFR or △SCR.Conclusions RRI can be used as a marker for diagnosis of AKI and the evaluation of renal function in patients with TMA,but it is not helpful to reflect the trends of renal injury especially for the critically ill patients.