Objective To evaluate the accuracy of high-aensitivity C-reactive protein (hs-CRP) in the prediction of perioperative cardiovascular accidents (CVAS) in patients with diabetes mellitus. Methods Ninetyone type 2 diabetic patients undergoing elective non-cardiac surgery were divided into 3 groups according to their blood concentrations of hs-CRP: low-concentration group ＜ 1.0 mg/L ( group Ⅰ , n = 9); median-concentration group 1.0-2.9 mg/L (group Ⅱ ,n= 16) and high-concentration group 3.0-10.0 mg/L (group Ⅲ ,n =66). Risk factors for perioperative CVA were analyzed using Spearman rank correlation analysis. Various risk factors including sex, age, ASA physical status, BMI, NYHA claasification, smoking history ,preoperative ECG changes, duration,treatment and complications of diabetes mellitus, hypertension and blood lipids were correlated with perioperative CVA. The risk factors of which P values were less than 0.05 would enter the binary logistic regression analysis to stratify CVA-related risk factors. Area under the ROC curve was used to analyze the accuracy of the risk factors in prediction of perioperative CVA. Results The incidences of perioperative CVAs were 0, 31% and 35 % in Ⅰ ,Ⅱ and Ⅲ groups respectively. It was determined by Spearman rank correlation analysis that preoperative ECG,NYHA classification, age, preoperative cardiovascular color doppler ultrasound, blood hs-CRP concentration and ASA classification of physical status were important risk factors ( P ＜ 0.05 or 0.01 ). Binary logistic regression .malysis indicated that preoperative ECG, NYHA classification and age were highly related to perioperative CVA (P ＜0.05 or 0.01).The area under ROC curve of preoperative ECG, NYHA classification, age and blood hsCRP concentration was 0.855, 0.755, 0.702 and 0.605 respectively. Conclusion The accuracy of blood concentration of hs-CRP in prediction of perioperative CVA in patients with diabetes mellitus is lower than that of the preoperative ECG, NYHA classification or age.

Objective To evaluate the position of the fetal conus medullaris during pregnancy and its value in detecting tethered cord syndrome(TCS). Methods Nine hundred and seventy-four normal fetuses and 46 fetuses with TCS between 15 and 41 weeks gestation were involved in the study.Parameters D 1 (the distance between the end of the conus medullaris and the caudal edge of last vertebral body ossification center) and D2 (the distance from the end of the conus medullaris to the caudal skin namely the intersection point of the extending line of D1 and the skin) were measured in the caudal midsagittal plane of the spine. Sixty normal fetuses were chosed randomly for interobserver variability.Correlation analysis between these two parameters and gestational age(GA) were conducted and the normal reference value of these parameters were calculated in normal group. The ratios of growth parameters ( Biparietal diameter, Head circumference,Abdominal circumference,Femur length) to D1 and D2 were calculated separately to observe the difference of the ratios between two groups. All the parameters and ratios of normal fetuses were compared with that of TCS cases.Results There was no significant difference in D1 and D2 between two observers.A significant linear correlation between the parameters and GA was found in normal group,linear regression equations were D1=0.251 GA -2.265 cm (R2=0.926,P <0.01) and D2=0.267 GA -1.812 cm(R2=0.928,P <0.01),respectively.D1 and D2 were much lower in normal group than in abnormal group (all P <0.01). The ratios of the growth parameters to D1 and D2 were relatively stable and had statistically differences between two groups in different gestational age. Conclusions The methods that determination of D1 and D2 are simple and feasible,and could help to the prenatal diagnosis of TCS.

Objective: To investigate the risk factors of postoperative acute kidney injury (AKI) in patients aged between 40 and 50 years old undergoing cardiac valvular surgery and the impact on outcome. Methods: The clinical data of 286 patients aged between 40 and 50 years old undergoing cardiac valve surgery in Guangdong Provincial People′s Hospital from January 2012 to December 2016 were analyzed retrospectively. Preoperative coronary angiography was performed in all patients. All patients enrolled were divided into AKI group and non-AKI group according to the existence or not of postoperative AKI. Patients with AKI were further divided into AKI stage 1, stage 2, and stage 3 groups according to KDIGO guideline. Demographic characteristics, preoperative clinical data including serum creatinine, estimated glomerular filtration rate, hemoglobin, uric acid, urinary protein, presence or absence of chronic kidney disease, left ventricular ejection fraction, pulmonary artery pressure, New York Heart Association (NYHA) functional classification, preoperative co-morbidity (hypertension, diabetes, anemia, cerebrovascular disease, peripheral artery disease), preoperative medication(vasoactive drugs, diuretic, renin-angiotensin system inhibitor (RASI), surgical data (contrast dosage in coronary angiography, type of cardiac valve surgery) were recorded and analyzed in this retrospective study. The risk factors for postoperative AKI and its impact on clinical outcomes (mortality, hospitalization expenses and Intensive Care Unit stay duration) were evaluated. Logistic regression analysis was used to determine the risk factors for postoperative AKI and the adjusted variables with P<0.2 were selected for the multivariate logistic regression analysis to define the independent determinants for AKI. Results: AKI was defined in 106 out of 286 enrolled patients, including 96 patients with AKI stage 1, 10 patients with AKI stage 2 and no patients with AKI stage 3. The proportion of coexisting cerebrovascular diseases was higher in AKI group than in non-AKI group (9(8.49%) and 5(2.78%), χ²=4.677, P=0.031), while there was no difference among other baseline data between the two groups. Multivariate logistic regression analysis showed that preoperative complications of cerebral vascular disease was an independent risk factor of postoperative AKI (OR=3.578, 95%CI 1.139-11.242, P=0.029). Five out of 106 AKI patients died during hospitalization while there was only 1 patient died among 180 patients without AKI. Patients with AKI after cardiac valve operation experienced higher mortality than patients without AKI (χ²=5.625, P=0.028). Further analysis showed that there was no difference in hospitalization mortality between patients with AKI stage 2 and stage (χ²=0.686, P=0.408) while the hospitalization mortality in patients with AKI stage 2 was higher than those without AKI (χ²=8.113, P=0.004). The hospitalization expenses in patients with AKI were 10.38(8.59,12.54) ×10⁴ RMB, significantly higher than that in patients without AKI (9.72(8.03,11.93) ×10⁴ RMB)(P=0.043). There was no difference in hospitalization expenses between patients with AKI stage 1 and without AKI (P=0.635). The hospitalization expenses in patients with AKI stage 2 was higher than those without AKI (P=0.023). Intensive Care Unit stay duration in patients with AKI was 3(1,4) days, significantly higher than those without AKI (P=0.044). There was no difference in Intensive Care Unit stay duration in patients with AKI stage 1 and without AKI (P=0.978), while Intensive Care Unit stay duration in patients with AKI stage 2 was significantly longer than those without AKI (P=0.006). Conclusions Preoperative complications of cerebral vascular disease is an independent risk factor of postoperative AKI. Non-senile patients with AKI after cardiac valvular surgery is associated with a higher proportion of mortality, hospitalization expenses and Intensive Care Unit stay duration as compared patients without postoperative AKI.