ObjectivesTo systematically review the efficacy and safety of Orlistat for obese patients with cardiovascular risk including hyperlipidemia, hypertension, diabetes and prediabetes.MethodsSinomed, CNKI, WanFang Data, PubMed, EMbase, The Cochrane Library and ClinicalTrails.gov databases were electronically searched to collect randomized controlled trials (RCTs) of Orlistat for obese patients with cardiovascular risk such as hyperlipemia, diabetes, prediabetes and hypertension from inception to Jan 7th, 2017. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then, meta-analysis was performed using Stata 14.0 software.ResultsA total of 28 RCTs were included. The results of meta-analysis showed that, compared with placebo, Orlistat could significantly reduce the weight (MD=–2.85, 95%CI –3.47 to –2.24, P=0.000), waist (MD=–2.45, 95%CI –3.07 to –1.83, P=0.000) and BMI (MD=–1.29, 95%CI –2.08 to –0.49, P=0.002) of patients. Orlistat could also control the blood pressure, blood glucose and other cardiovascular risk factors well. Compared with the blank control, Orlistat could improve the waist and parts of cardiovascular risk factors (P<0.05). The incidence of adverse events of Orlistat was slightly higher than that of placebo, but most could be self-healing.ConclusionsCurrent evidence shows that compared with placebo and blank control, Orlistat is effective for improving both weight loss and some cardiovascular risk factors. Due to limited quality and quantity of the included studies, more high quality studies are needed to verify above conclusion.
ObjectivesTo systematically review the risk factors associated with prediabetes, and to provide reference for prevention and treatment of diabetes mellitus and health education.MethodsPubMed, EMbase, SinoMed, CNKI, WanFang Data and VIP databases were electronically searched to collect case-control studies on the risk factors associated with prediabetes from inception to February 20th, 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 13 studies involving 49 168 patients were included. The results of meta-analysis showed that: drinking (OR=1.31, 95%CI 1.04 to 1.65, P=0.02), hypertension (OR=1.75, 95%CI 1.11 to 2.76, P=0.02), abdominal obesity (OR=1.26, 95%CI 1.12 to 1.42, P=0.000 1), and waist to hip ratio (OR=1.77, 95%CI 1.27 to 2.45, P=0.000 6) might be the risk factors for prediabetes. However, dyslipidemia, smoking, physical activity, family history of diabetes, body mass index and waist circumference might not be risk factors for prediabetes.ConclusionsCurrent evidence shows that drinking, hypertension, abdominal obesity and waist-hip ratio may be the influencing factors of pre-diabetes, while other related risk factors are required to be further studied. Due to limited quality and quantity of the included studies, more high quality studies are required to verify above conclusions.
ObjectiveTo explore the association between prediabetes and poor outcome in patients with acute ischemic stroke (AIS).MethodsThe patients with first-ever AIS who were hospitalized in the Department of Neurology, the First Affiliated Hospital of Henan University of Science and Technology from September to December 2018 were retrospectively enrolled. According to the different levels of hemoglobin A1c, the patients were divided into prediabetes group, diabetes mellitus (DM) group and non-DM group. The outcome of the patients 3 months after the discharge was assessed by the modified Rankin Scale and dichotomized as good and poor outcomes. ResultsA total of 188 patients were included, and 160 were eventually included. Among them, 66 cases were in the non-DM group, 39 were in the prediabetes group, and 55 were in the DM group; 68 patients were in the poor prognosis group and 92 were in the good prognosis group. There was no statistically significant difference among the non-DM group, prediabetes group, and DM group (P>0.05) except for hyperlipidemia (χ2=7.781, P=0.020), triglyceride (TG) (F=8.220, P<0.001) and admission blood glucose (F=44.356, P<0.001). There was no statistically significant difference between the good prognosis group and the poor prognosis group (P>0.05) except for hyperlipidemia (χ2=4.847, P=0.028), admission blood glucose (t=−2.940, P=0.004), TG (t=−2.766, P=0.006), and NIHSS (Z=−6.038, P<0.001). Prediabetic [odds ratio (OR)=4.053, 95% confidence interval (CI) (1.491, 11.019)] and diabetic [OR=5.986, 95%CI (2.330, 15.379)] patients had a worse prognosis 3 months after the discharge.ConclusionIn adults with first-ever AIS, prediabetes and diabetes were associated with poor prognosis in patients with AIS after 3 months.
ObjectiveTo explore the association between prediabetes and early vascular cognitive impairment (VCI) in patients with acute cerebral infarction. MethodsNon-diabetes mellitus patients with first-ever acute cerebral infarction hospitalized in the Department of Neurology, the First Affiliated Hospital of Henan University of Science and Technology between January and April 2019 were retrospectively enrolled. The enrolled patients were divided into prediabetes group and normal blood glucose group according to the level of glycosylated hemoglobin, and the patients were divided into normal cognitive function group and cognitive impairment group according to the Montreal Cognitive Assessment score. The general information and clinical related data of the included patients were compared. Results A total of 129 patients were enrolled. Among them, 46 cases were in the prediabetes group and 83 cases were in the normal blood glucose group. There were 82 cases in the normal cognitive function group and 47 cases in the cognitive impairment group. Multivariate logistic regression analysis showed that compared with the normal blood glucose group, the prediabetes group was associated with early VCI in patients with acute cerebral infarction [odds ratio (OR)=4.172, 95% confidence interval (CI) (1.786, 9.754), P=0.001]; the higher the NationalInstitutes of Health Stroke Scale score at the first admission was, the higher the risk of early VCI was [OR=1.379, 95%CI (1.183, 1.650), P<0.001]. Conclusion In patients with first-ever acute cerebral infarction, prediabetes is associated with early VCI.