Objective To explore the correlation between hematocrit and slow coronary flow (SCF) in male patients. Methods We studied 205 patients with angiographically no more than one stenosis lt;40% in each major coronary artery who had admitted to the department of cardiology of the Beijing Anzhen Hospital Affiliated to Capital Medical University from August 2011 to August 2012. According to the level of hematocrit, 101 patients were classified into the trial group whose hematocrit was more 42.9%, while 104 patients into the control group whose hematocrit was no more than 42.9%. Clinical variables were analyzed and compared between the two groups. Results The age was younger in the trial group than the control group, whereas the levels of white blood cell count, mean platelet volume, triglyceride, low-density lipoprotein cholesterol, left anterior descending artery (LAD) and right coronary artery (RCA) TIMI frame count and the proportion of SCF in the LAD were higher in the trial group than in the control group (Plt;0.05). The results of correlation analysis showed that, LAD TIMI frame count (r=0.238, P=0.001), proportion of SCF in the LAD (r=0.206, P=0.003) and RCA TIMI frame count (r=0.209, P=0.003) were positively correlated with hematocrit. The results of multivariate analysis (using logistic regression with adjusted confounding factors such as age) showed that, LAD TIMI frame count (OR=1.031, 95%CI 1.006 to 1.056, P=0.014), proportion of SCF in the LAD (OR=1.919, 95%CI 1.038 to 3.547, P=0.038) were independently correlated with hematocrit. Conclusion The proportion of SCF in the LAD is independently correlated to hematocrit, which suggested that increased hematocrit may contribute to the pathophysiological change of SCF in male patients.
Objective To study the risk factors of hyperuricemia in patients with mild coronary artery stenosis. Methods The clinical data of 267 patients, who underwent coronary angiography, were collected and classified into the hyperuricemia group (58.5±8.0 years) and the normal control group (57.3±9.9 years). The coronary artery diameter stenosis of all the patients was lower than 50%. Results Elevated levels of body mass index (BMI), serum creatinine, triglyceride, low level of high-density lipoprotein, and history of hypertension or diabetes mellitus were significantly correlated with increased prevalence of hyperuricemia in patients with mild coronary artery stenosis. Multivariate logistic regression models found that the risk factors were diabetes mellitus (OR=1.999, 95%CI 1.087 to 3.678) , BMI (OR=1.110, 95%CI 1.009 to 1.221), hypertriglyceridemia (OR=1.237, 95%CI 1.023 to 1.496), and serum creatinine (OR=1.026, 95%CI 1.008 to 1.045). Conclusion Diabetes mellitus, BMI, hypertriglyceridemia and serum creatinine are independent risk factors of hyperuricemia in patients with mild coronary artery stenosis.
ObjectivesTo systematically review the efficacy of acupuncture for improving migraine symptoms and cerebral blood flow velocity.MethodsCBM, CNKI, VIP, WanFang Data, PubMed, EMbase and The Cochrane Library databases were electronically searched to collect randomized controlled trials (RCTs) on acupuncture for improving migraine symptoms and cerebral blood flow velocity from inception to September, 2017. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 17 RCTs involving 2 226 patients were included. The results of meta-analysis showed that, acupuncture could effectively reduce the frequency of migraine compared with placebo acupuncture (SMD=−0.97, 95%CI −1.60 to −0.34, P=0.002) and medicine group (SMD=−1.29, 95%CI −1.85 to −0.73, P<0.000 01). Acupuncture could shorten duration of headache compared with placebo acupuncture (SMD=−0.73, 95%CI −1.25 to −0.21, P=0.006) and medicine group (SMD=−0.88, 95%CI −1.32 to −0.45, P<0.000 1). Compared with placebo acupuncture, acupuncture could relieve headache intensity (SMD=−0.67, 95%CI −1.15 to −0.19, P=0.006). The acupuncture group was superior to the placebo acupuncture group (SMD=−10.99, 95%CI −16.62 to −5.36, P=0.000 1) and medicine group (SMD=−0.63, 95%CI −0.87 to −0.40, P<0.000 01) in improving the cerebral blood flow velocity.ConclusionsCurrent evidence shows that acupuncture can effectively reduce frequency of migraine, shorten duration of migraine, relieve intensity of migraine and improve cerebral blood flow velocity. Due to limited quality of the included studies, more high quality studies are required to verify above conclusion.
ObjectiveTo explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). MethodsA systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and China Biomedical Literature Database up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. ResultsA total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of specific exhaled VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than exhaled VOCs, including forced expiratory flow at 75% lung capacity (FEF75) and modified Medical Research Council dyspnea scale score (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve (AUC) ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high bias risk, and the overall applicability was unclear. ConclusionThe exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.