ObjectivesTo systematically review the relationship between cadmium exposure and the risk of hypertension.MethodsPubMed, EMbase, The Cochrane Library, CBM, WanFang Data, VIP and CNKI databases were searched online to collect studies of cadmium exposure and hypertension from inception to March 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed by Stata 12.0 software.ResultsA total of 9 studies were included, of which 19 841 cases were patients of hypertension, and 27 578 cases were in the control group. The results of meta-analysis showed that blood cadmium was associated with risk of hypertension (OR=1.23, 95%CI 1.17 to 1.30, P<0.001). However, no significant association was found between urinary cadmium and the risk of hypertension (OR=0.77, 95%CI 0.55 to 1.07,P=0.61). The results of subgroup analysis showed non-smokers (OR=1.19, 95%CI 1.09 to 1.31, P<0.001), males (OR=1.19, 95%CI 1.11 to 1.28,P<0.001), females (OR=1.28, 95%CI 1.18 to 1.40,P<0.001), yellow race (OR=1.26, 95%CI 1.19 to 1.34,P<0.001), and the literatures published after 2010 (OR=1.24, 95%CI 1.17 to 1.31,P<0.001) were associated with risk of hypertension in blood cadmium. The current smokers (OR=0.72, 95%CI 0.56 to 0.93,P=0.013), yellow race (OR=0.65, 95%CI 0.50 to 0.83, P=0.001), and the literatures published before 2010(OR=0.61, 95%CI 0.50 to 0.75, P<0.001) were associated with risk of hypertension in urinary cadmium.ConclusionsBlood cadmium is associated with risk of hypertension and high level of blood cadmium is a risk factor for hypertension. The levels of blood cadmium of non-smokers, males, females, yellow race are associated with risk of hypertension in blood cadmium. Urinary cadmium was not significantly associated with the risk of hypertension. The above conclusions are required to be verified by more high quality studies.
Objective To identify clinical risk factors for early major adverse cardiovascular events (MACEs) following surgical correction of supravalvar aortic stenosis (SVAS). Methods Patients who underwent SVAS surgical correction between 2002 and 2019 in Beijing and Yunnan Fuwai Cardiovascular Hospitals were included. The patients were divided into a MACEs group and a non-MACEs group based on whether MACEs concurring during postoperative hospitalization or within 30 days following surgical correction for SVAS. Their preoperative, intraoperative, and postoperative clinical data were collected for multivariate logistic regression. Results This study included 302 patients. There were 199 males and 103 females, with a median age of 63.0 (29.2, 131.2) months. The incidence of early postoperative MACEs was 7.0% (21/302). The multivariate logistic regression model identified independent risk factors for early postoperative MACEs, including ICU duration (OR=1.01, 95%CI 1.00-1.01, P=0.032), intraoperative cardiopulmonary bypass (CPB) time (OR=1.02, 95%CI 1.01-1.04, P=0.014), aortic annulus diameter (OR=0.65, 95%CI 0.43-0.97, P=0.035), aortic sinus inner diameter (OR=0.75, 95%CI 0.57-0.98, P=0.037), and diameter of the stenosis (OR=0.56, 95%CI 0.35-0.90, P=0.016). Conclusion The independent risk factors for early postoperative MACEs include ICU duration, intraoperative CPB time, aortic annulus diameter, aortic sinus inner diameter, and diameter of the stenosis. Early identification of high-risk populations for MACEs is beneficial for the development of clinical treatment strategies.
ObjectiveTo clarify the risk factors of diaphragmatic dysfunction (DD) after cardiac surgery with extracorporeal circulation. MethodsA retrospective analysis was conducted on the data of patients who underwent cardiac surgery with extracorporeal circulation in the Department of Cardiovascular Surgery of Peking University People's Hospital from January 2023 to March 2024. Patients were divided into two groups according to the results of bedside diaphragm ultrasound: a DD group and a control group. The preoperative, intraoperative, and postoperative indicators of the patients were compared and analyzed, and independent risk factors were screened using multivariate logistic regression analysis. ResultsA total of 281 patients were included, with 32 patients in the DD group, including 23 males and 9 females, with an average age of (64.0±13.5) years. There were 249 patients in the control group, including 189 males and 60 females, with an average age of (58.0±11.2) years. The body mass index of the DD group was lower than that of the control group [(18.4±1.5) kg/m2 vs. (21.9±1.8) kg/m2, P=0.004], and the prevalence of hypertension, chronic obstructive pulmonary disease, heart failure, and renal insufficiency was higher in the DD group (P<0.05). There was no statistical difference in intraoperative indicators (operation method, extracorporeal circulation time, aortic clamping time, and intraoperative nasopharyngeal temperature) between the two groups (P>0.05). In terms of postoperative aspects, the peak postoperative blood glucose in the DD group was significantly higher than that in the control group (P=0.001), and the proportion of patients requiring continuous renal replacement therapy was significantly higher than that in the control group (P=0.001). The postoperative reintubation rate, tracheotomy rate, mechanical ventilation time, and intensive care unit stay time in the DD group were higher or longer than those in the control group (P<0.05). Multivariate logistic regression analysis showed that low body mass index [OR=0.72, 95%CI (0.41, 0.88), P=0.011], preoperative dialysis [OR=2.51, 95%CI (1.89, 4.14), P=0.027], low left ventricular ejection fraction [OR=0.88, 95%CI (0.71, 0.93), P=0.046], and postoperative blood glucose [OR=3.27, 95%CI (2.58, 5.32), P=0.009] were independent risk factors for DD. ConclusionThe incidence of DD is relatively high after cardiac surgery, and low body mass index, preoperative renal insufficiency requiring dialysis, low left ventricular ejection fraction, and postoperative hyperglycemia are risk factors for DD.