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Risk factors for acute kidney injury following coronary artery bypass graft surgery in a Chinese population and development of a prediction model 被引量:3
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作者 Yang LI Xue-Jian HOU +5 位作者 Tao-Shuai LIU Shi-Jun XU Zhu-Hui HUANG Peng-Yun YAN Xiao-Yu XU Ran DONG 《Journal of Geriatric Cardiology》 SCIE CAS CSCD 2021年第9期711-719,共9页
BACKGROUND Acute kidney injury(AKI)after coronary artery bypass graft(CABG)surgery is associated with significant morbidity and mortality.This retrospective study aimed to establish a risk score for postoperative AKI ... BACKGROUND Acute kidney injury(AKI)after coronary artery bypass graft(CABG)surgery is associated with significant morbidity and mortality.This retrospective study aimed to establish a risk score for postoperative AKI in a Chinese population.METHODS A total of 1138 patients undergoing CABG were collected from September 2018 to May 2020 and divided into a derivation and validation cohort.AKI was defined according to the Kidney Disease Improving Global Outcomes(KDIGO)criteria.Multivariable logistic regression analysis was used to determine the independent predictors of AKI,and the predictive ability of the model was determined using a receiver operating characteristic(ROC)curve.RESULTS The incidence of cardiac surgery–associated acute kidney injury(CSA-AKI)was 24.17%,and 0.53%of AKI patients required dialysis(AKI-D).Among the derivation cohort,multivariable logistic regression showed that age≥70 years,body mass index(BMI)≥25 kg/m2,estimated glomerular filtration rate(eGFR)≤60 mL/min per 1.73 m2,ejection fraction(EF)≤45%,use of statins,red blood cell transfusion,use of adrenaline,intra-aortic balloon pump(IABP)implantation,postoperative low cardiac output syndrome(LCOS)and reoperation for bleeding were independent predictors.The predictive model was scored from 0 to32 points with three risk categories.The AKI frequencies were as follows:0-8 points(15.9%),9-17 points(36.5%)and≥18 points(90.4%).The area under of the ROC curve was 0.730(95%CI:0.691-0.768)in the derivation cohort.The predictive index had good discrimination in the validation cohort,with an area under the curve of 0.735(95%CI:0.655-0.815).The model was well calibrated according to the Hosmer-Lemeshow test(P=0.372).CONCLUSION The performance of the prediction model was valid and accurate in predicting KDIGO-AKI after CABG surgery in Chinese patients,and could improve the early prognosis and clinical interventions. 展开更多
关键词 AKI RED risk factors for acute kidney injury following coronary artery bypass graft surgery in a Chinese population and development of a prediction model
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Effect of Different Styles of Coronary Heart Disease and Its Risk Factors on Cardiac Remodeling and Dysfunction
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作者 王雪里红 郭雪微 +2 位作者 马玉山 苏双善 郭湘云 《South China Journal of Cardiology》 CAS 2006年第1期22-26,共5页
Objectives To evaluate the effect of different styles of coronary heart disease (CHD), different regions of acute myocardial infarction (AMI), its risk factors and branches of coronary stenosis on left ventricular... Objectives To evaluate the effect of different styles of coronary heart disease (CHD), different regions of acute myocardial infarction (AMI), its risk factors and branches of coronary stenosis on left ventricular remodeling and dysfunction by applying echocardiography. Methods 251 patients with CHD and 96 patients without CHD (NoCHD) were verified by selective coronary angiography. CHD patients were divided into stable angina pectoris (SAP) 26, unstable angina pectoris(UAP) 53, acute myocardial infarction (AMI) 140 and old myocardial infarction (OMI) 30 based on clinical situation, cTnT, cardiac enzyme and ECG. AMI patients were further divided into subgroups including acute anterior myocardial infarct (Aa,n = 53), acute inferior myocardial infarction (Ai, n=54) and Aa+Ai (n=33) based on ECG. Cardiac parameters: end-diastolic interventricular septum thickness(IVSd), end-diastolic left ventricular internal diameter (LVd), left ventricular mass (LM), end-diastolic left ventricular volume (EDV), end-systolic left ventricular volume (ESV) and left ventricular ejection fraction(LVEF) were measured by ACUSON 128XP/10 echocardiography. Multiples linear regression analyses were performed to test statistical associations between LVEF and the involved branches of coronary stenosis, blood pressure, lipids, glucose and etc after onset of myocardial infarction. Results EDV and ESV were increased and LVEF decreased on patients with AMI,OMI and UAP (P〈0.05-0.0001). LM was mainly increased in patients with OMI (P〈0.01) and LVd was mainly enlarged in patients with AMI. EF was significantly decreased and EDV, ESV, LM and LVd were remarkably increased in AMI patients with Aa and Aa+Ai. With the multiple linear regression analyses by SPSS software, we found that LVEF was negatively correlated to the involved branches of coronary stenosis as well as to systolic blood pressure after onset of myocardial infarction while there was no significant correlation between LVEF and other factors. LVEF was significantly decreased, and LVd and LM increased in AMI patients with antecedent hypertension, compared to patients without hypertension (P〈0.001). Conclusions Effects of different styles of CHD and different regions of AMI on left ventricular remodeling and cardiac function are different. Myocardial infarction, especially Aa and Aa+Ai, is one of the most important causes of left ventricular remodeling and cardiac dysfunction. Multiple vessel stenosis and systolic blood pressure at the onset of myocardial infarction reduce LVEF in AMI patients. Antecedent hypertension may accelerate the effect of AMI on cardiac remodeling and dysfunction. Therefore primary and secondary preventions of CHD are critical for protecting heart from remodeling and dysfunction. 展开更多
关键词 coronary heart disease Cardiac remodeling risk ventricular ejection infarction factors Echocardiography Left fraction Acute myocardial
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C-reactive protein as a risk factor for acute coronary syndrome
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作者 杨胜利 何秉贤 +3 位作者 何作云 张华 何学兰 张伟 《South China Journal of Cardiology》 CAS 2002年第1期4-9,共6页
Objective We assessed the levels of C reactive protein (CRP)in patients with acute coronary syndrome (ACS) [including unstable angina pectoris (UAP), acute myocardial infarction (AMI) and sudden cardiac death (SCD)] ... Objective We assessed the levels of C reactive protein (CRP)in patients with acute coronary syndrome (ACS) [including unstable angina pectoris (UAP), acute myocardial infarction (AMI) and sudden cardiac death (SCD)] compared with non ACS [including stable angina pectoris (SAP), old myocardial infarction (OMI) and healthy volunteers] and sought to test whether CRP are associated with clinical acute coronary syndrome. Methods Ultrasensitive immunoassay (rate nephelometry with the Beckman Array multitest immunoassay system) was used to measure CRP levels in 91 patients with ACS (20 UAP, 71 AMI including 2 SCD) and non ACS (34 SAP, 25 patients with healing phase of AMI , 41 OMI and 94 control healthy subjects). Results CRP levels were higher in ACS group (18.50±23.98 mg/L [SE 2.51, n=91]) compared with non-ACS group (3.89±7.14 mg/L [SE 0.51, n=194]) (P< 0.01). Using Logistic Regression, CRP was a potent determinant of ACS(OR=1.65). Conclusion These results suggest that CRP has a strong association with ACS, and CRP is a risk factor of ACS. 展开更多
关键词 C reactive protein Acute coronary syndrome risk factors
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Apolipoprotein AI gene polymorphisms and risk for coronary artery disease in Chinese Xinjiang Uygur and Han population
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作者 杨胜利 何秉贤 +2 位作者 洪秀芳 邹阳春 刘明军 《South China Journal of Cardiology》 CAS 2001年第2期69-75,共7页
Objective To analyze the relationship between polymorphism at the Apolipoprotein AI (Apo AI) gene and the risk for coronary artery disease. Methods A total of 107 patients (mean age 56 ±11 years) diagnosed as hav... Objective To analyze the relationship between polymorphism at the Apolipoprotein AI (Apo AI) gene and the risk for coronary artery disease. Methods A total of 107 patients (mean age 56 ±11 years) diagnosed as having stable angina pectoris (SAP) (23 cases), unstable angina pectoris (UAP) (23 cases) or myocardial infarction (MI) (61 cases) were prospectively evaluated. DNA was obtained from the 107 patients and 50 controls. In order to determine the Apo AI genotypes at two polymorphic sites (G/A at -75 bp, and C/T at+83 bp), DNA was PCR amplified and digested with MspI. Results The frequency of carriers of the rare allele at the - 75 bp site (M1-) was 0.49 in cases and 0.30 in controls (P<0. 05). The frequencies of the M1-allele among patients with SAP, UAP, MI and controls were 0. 37 (vs. controls, P > 0. 05), 0.54 (vs. controls, P < 0.05), 0.52 (vs. controls, P<0. 05) and 0. 30, respectively. The frequencies for carriers of the rare allele at the + 83bp polymorphism (M2) were observed among patients with SAP (0. 09, vs. controls, P > 0.05), UAP (0.11, vs. controls, P>0.05) or MI (0. 12, vs. controls, P>0. 05) and controls (0. 12). There was an slightly increase in the frequency of the Ml - allele in patients with SAP to UAP or MI (0. 37 vs. 0. 54 vs. 0. 52; all P>0. 05) and Ml polymorphism as a risk factor for CAD ( OR = 3. 74, P < 0. 05). In the + 83bp polymorphism there was no difference in the allelelic frequencies in cases and controls (0. 11 vs. 0. 12; P > 0. 05). There was no significantdifference in the frequency of the M2 - allele in patients with SAP to UAP or MI (0.09 vs. 0. 11 vs. 0. 12; all P>0. 05) and M2 polymorphism not as a factor for CAD (OR=0.80, P>0. 05).Plasma lipoprotein values in patients with the allele M1-and M2 - had no different levels than those homozygous for the M1+and M2+(P>0.05). Conclusion Ml polymorphism (M1 - ) may be as a risk factor for CAD and M2 polymorphism (M2 - ) not as a factor for CAD in Chinese Xinjiang Uygur and Han population. 展开更多
关键词 Apolipoprotein AI DNA polymorphisms risk factor coronary artery disease
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The Study on the Correlation Between Plasma Adiponectin Level and Coronary Heart Disease
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作者 张金国 杨娜 +4 位作者 王学忠 宋学耀 高东升 魏广和 何华 《South China Journal of Cardiology》 CAS 2005年第2期85-89,105,共6页
Objectives To investigate the relationship between plasma adiponectin level and coronary heart disease (CHD), and some established cardiovascular risk factors and to probe its probable pathogenesis which adiponectin... Objectives To investigate the relationship between plasma adiponectin level and coronary heart disease (CHD), and some established cardiovascular risk factors and to probe its probable pathogenesis which adiponectin results in CHD. Methods The levels of plasma adiponectin, fasting plasma insulin (FINS), C-reactive protein (CRP) and P-selectin were measured by ELISA, plasma ET-1 was measured by radioimmunoassay (RIA) in 75 male patients with CHD and 30 healthy male people. Body mass index (BMI), waist / hip ratio (WHR) and insulin resistance index (Homa-IR) were calculated respectively. Results (1)The plasma adiponectin levels in CHD group were lower compared with control group[(5.18±2.57)mg / L vs(8.94±2.59)mg / L, P〈 0.001 ], there was no significant difference of plasma adiponectin levels in CHD sub-groups (P 〉 0.05).(2) Based on multinominal stepwise logistic regression analysis, adiponectin was one of significant and independent risk factors for CHD. (3) Multivariate liner stepwise regression analysis showed that adiponectin had significant correlation with BMI and TG, BMI and TG were independent factors influencing on plasma adiponectin levels. (4) Pearson correlation analysis indicated plasma adiponectin levels were inversely related to FINS levels , Homa-IR, CRP, P-selectin and ET-1. Conclusions ( 1 )Plasma adiponectin levels are lower in CHD patients compared the control subjects, there are no significant difference of plasma adiponectin levels in patients with SAP, UAP and AMI. (2) Plasma adiponectin levels are relative with CHD. Hypoadiponectinemia is an independent risk factor for CHD. (3)Established cardiovascular risk factors such as BMI and TG have an obvious influence on adiponectin. (4)The probable pathogenesis by which adiponectin involves in CHD is suggested that adiponectin relates to insulin resistance, inflammatory reaction and dysfunction of vessel endothelium. 展开更多
关键词 coronary atherosclerotic heart disease Adiponectin risk factor Insulin resistance Inflammatory reaction Endothelial dysfunction
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