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find Keyword "糖尿病前期" 9 results
  • 糖尿病前期人群护理干预对血糖的影响

    目的:探讨护理干预对糖尿病前期人群血糖水平的影响作用。方法: 糖尿病前期患者30例,分析护理干预前与干预后的空腹血糖和餐后2 h血糖值的变化。 结果:护理干预前与干预后血糖值的变化比较有统计学意义(P<0.05)。 结论:护理干预能有效降低糖尿病前期人群的血糖水平。

    Release date:2016-08-26 02:21 Export PDF Favorites Scan
  • The Influence of Paroxetine on Blood Sugar and Endocrine of Pre-diabetes Patients Associated with Anxiety and Depression

    ObjectiveTo explore the association between paroxetine (Seroxat) and level of blood sugar and endocrine hormones in pre-diabetes patients with anxiety and depression. MethodsFifty-four pre-diabetes patients with anxiety and depression diagnosed from January 2010 to December 2012 were recruited. The self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were used to assess depression and anxiety. All the patients were treated by paroxetine. The glucose tolerance test (OGTT), ACTH and cortisol were tested in patients at baseline and within 24 weeks. ResultsAfter 24 weeks' treatment, the level of anxiety and depression as well as the OGTT 0.5 h (0.5 h PG), OGTT 1 h (1 h PG), OGTT 2 h (2 h PG), glycated hemoglobin (HbA1c), adrenocorticotropic hormone (ACTH) and cortisol were significantly decreased (P<0.05 or P<0.01). The glycated HbA1c had a positive correlation with adrenocorticotropic hormone (ACTH) and cortisol (F). Before and after treatment, the reduced rate of ACTH and reduced rate of cortisol respectively exhibited a positive correlation with the reduced rate of HbA1c, reduced rate of SAS and reduced rate of SDS. ConclusionAnti-anxiety depression treatment can lower blood sugar level in pre-diabetes patients with anxiety and depression significantly, which may be related to the activity of HPA axis.

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  • An Investigation of Cardiovascular Risk Factors in Pre-diabetes Patients in Rural Areas of Chengdu City

    ObjectiveTo investigate the prevalence of impaired glucose regulation (IGR) and IGR combined with cardiovascular risk factors in rural areas of Chengdu City. MethodsFrom February to October 2010, we randomly sampled 1 016 patients in a rural community 100 kilometers away from the city center as the study subjects. The investigation was carried out by using questionnaire survey, physical examination and laboratory tests. The standard 75 g oral glucose tolerance test was used. ResultsA total of 1 016 subjects were investigated, among whom there were 431 males and 585 females with an average age of 56 years old. Of these subjects, 333 were diagnosed to have IGR with a rate of 32.77% (333/1 016). The age-adjusted standardized prevalence of pre-diabetes in rural areas in Chengdu was 32.52% (336/1 016), and the male and female prevalence were respectively 30.63% (132/431) and 34.36% (201/585) without significant difference (χ2=1.569,P=0.210). Impaired glucose tolerance (IGT) was the most common type of glycometabolism abnormality. Women had a significantly higher prevalence of IGT than men. In IGR population, major cardiovascular risk factors were overweight and obesity (40.8%), high low density lipoprotein cholesterol (38.4%), high triglyceride (30.3%), hypertension (23.7%), smoking (24.3%), and drinking alcohol (23.7%). The stratified analysis showed that the prevalence of overweight, obesity and low high density lipoprotein cholesterol in female was significantly higher than that in males, while the prevalence of smoking and drinking alcohol was significantly higher in males. ConclusionIn rural areas, the prevalence of pre-diabetes is high and complicated with multiple cardiovascular risk factors.

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  • 尿酸干预治疗对高尿酸血症合并糖尿病前期患者肾脏损害的影响

    目的探讨尿酸干预治疗对高尿酸血症合并糖尿病前期患者肾脏损害的影响。 方法选择2008年2月-2011年8月在院诊治的男性无症状高尿酸血症合并糖尿病前期患者50例,给予低嘌呤饮食联合降尿酸药物干预治疗;随访1年,比较治疗前后尿微尿白蛋白(MAU)、血清胱抑素C(CysC)、尿酸和空腹血糖(FPG)。 结果治疗前后尿酸分别为(509.40±36.00)、(340.00±39.00)μmol/L,FPG分别为(6.78±0.21)、(5.75±0.65)mmol/L,MAU分别为(45.60±18.30)、(26.30±10.50)mg/L,CysC分别为(1.36±0.15)、(0.89±0.33)mg/L,治疗后各指标均较治疗前降低,差异有统计学意义(P<0.05)。 结论血尿酸干预治疗可降低高尿酸血症合并糖尿病前期患者的肾脏损害,并可降低其FPG水平。

    Release date:2016-10-02 04:54 Export PDF Favorites Scan
  • Efficacy and safety of Orlistat for obese patients with cardiovascular risk: a meta-analysis

    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.

    Release date:2018-06-04 08:52 Export PDF Favorites Scan
  • Risk factors associated with prediabetes in Chinese: a meta-analysis

    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.

    Release date:2019-02-19 03:57 Export PDF Favorites Scan
  • Association between prediabetes and poor outcome of acute ischemic stroke

    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.

    Release date:2020-07-26 03:07 Export PDF Favorites Scan
  • Efficacy of resistance training on individuals with different glucose metabolism status: a meta-analysis

    ObjectiveTo systematically review the intervention efficacy of resistance exercise on prediabetes and type 2 diabetes. MethodsPubMed, The Cochrane Library, EMbase, Web of Science, EBSCO, VIP, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials (RCTs) of resistance exercise applied to pre-diabetic and type 2 diabetic population from 2010 to April, 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed using Revman 5.1 and Stata 12.0 software. ResultsA total of 26 RCTs involving 2 078 patients were included. The results of meta-analysis showed that resistance exercise could improve fasting blood glucose (MD=−0.57, 95%CI −0.69 to −0.45, P<0.000 01), glycosylated hemoglobin (MD=−0.28, 95%CI −0.33 to −0.22, P<0.000 01), high density lipoprotein (MD=0.06, 95%CI 0.01 to 0.11, P=0.01), low density lipoprotein (MD=−0.35, 95%CI −0.47 to −0.24 , P<0.000 01), total cholesterol (MD=−0.25, 95%CI −0.39 to −0.12, P=0.000 3), steady-state model-insulin resistance index (MD=−0.74, 95%CI −0.80 to −0.68, P<0.000 01), and body mass index (MD=−0.54, 95%CI −1.03 to −0.05, P=0.03) compared with control group. ConclusionsResistance exercise can improve the blood glucose, blood lipid, and insulin resistance levels of individuals with abnormal glucose and lipid metabolism. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify above conclusions.

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  • Association between prediabetes and early vascular cognitive impairment after acute cerebral infarction

    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.

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