Objective To investigate the current situation of self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes mellitus (T2DM) in Sichuan province, and to analyze the influencing factors of SMBG, so as to provide evidence for improving the level of SMBG. Methods By the convenience sampling method, 410 patients with T2DM for more than 1 year were selected from 17 hospitals and community health service centers in 7 cities across Sichuan province, and their SMBG was investigated with a questionnaire. Results Among 410 eligible patients, the average frequency of SMBG was 7.3 times per month. There were 268 patients (65.4%) performed SMBG less than 4 times per month, 94 (22.9%) performed 4-15 times per month, 29 (7.1%) performed 6-29 times per month, and 19 (4.6%) performed over 30 times per month. Just 234 patients (57.1%) monitored the HbA1c in the past 6 months. FPG, 2-hour PPG and HbA1c were negatively correlated with the frequency of SMBG. The influencing factors of SMBG were insulin treatment and education. Conlusion The SMBG status in D2TM patients is relatively poor in Sichuan province, and the compliance of SMBG is expected to be improved by enhancing diabetic education.
ObjectiveTo investigate the change of blood glucose and its clinical significance in patients with acute pancreatitis (AP). MethodsThe regularity of blood glucose change and the relation between the regularity and the prognosis were analyzed in 115 patients with AP and hyperglycemia.ResultsBlood glucose was increased with a median (M) of 8.7 mmol/L，18.45 mmol/L and 27.22 mmol/L, which gradually decreased to normal value within 3-17 days, 7-26 days and 24-46 days after treatment,respectively in patients with mild AP, type Ⅰ of severe acute pancreatitis (SAP) and type Ⅱ of SAP. There was marked statistical difference among the three groups. A smaller dose of regular insulin was used for 36 patients with mild AP; however, a larger dose of regular insulin was used for all 30 patients with SAP.ConclusionThe level of blood glucose, the dose of regular insulin and the duration of hyperglycemia increase with the severity of AP.
Objective To evaluate the accuracy of newer-generation home blood glucose meter (Accu-Check? Integra) in patients with impaired glucose regulation (IGR) and newly-diagnosed type 2 diabetes mellitus. Methods A cross-sectional study was performed on 109 cases with newly-diagnosed type 2 diabetes or IGR who were asked to take oral glucose tolerance test (OGTT), while paired samples, that were Accu-Check? Integra in capillary blood glucose (CBG) and laboratory glucose in venous plasma glucose (VPG ), were taken simultaneously. Taking VPG as the reference value, the accuracy of the home glucose meter was assessed according to the international standardization organization (ISO), including, the accuracy was studied by means of Median absolute difference (Median AD) and Median absolute relative difference (Median RAD), the consistency of CBG and VPG was studied by Clarke Error Grid analysis, the correlation of CBG and VPG was analyzed according to liner regression analysis, and the sensitivity and specificity for hyperglycemia were also calculated. Results There were 292 VPG values paired with CBG values, among which 93.49% of CBG values met ISO home glucose meter criteria, the median AD was 7.2 mg/dL, and the median RAD was 4.76%. Paired glucose measurements from the Accu-Check Integra meter and laboratory glucose measurement demonstrated that 100% of paired points in the overall subject population fell in zones A and B of the Clarke Error Grid. The CBG value was well correlated to VPG value in the overall level, and the sensitivity and specificity were 94.6% and 95.7% respectively for hyperglycemia. Conclusion The newer-generation home blood glucose meter (Accu-Check? Integra) demonstrates a high degree of accuracy, and it can precisely report the real value of blood glucose.
摘要:目的:研究高血压病患者过氧化物酶体增殖物激活受体(PPAR)γ2基因Pro12Ala多态性与血糖水平之间的关系。方法:纳入177名原发性高血压患者,其中空腹血糖(FBG)lt;5.6 mmol/L组65例, FBG≥5.6 mmol/L组112例,收集一般资料;分别测定空腹及餐后2小时血糖、胰岛素;对PPARγ2 基因Pro12Ala多态性与各临床变量的关系进行研究。结果:FBGlt;5.6 mmol/L组和FBG≥5.6 mmol/L组Pro和Ala等位基因频率分别为0.333,0.034及0.602,0.031;PP和PA基因型频率分别为0.299,0.068及0.571,0.062;无AA型纯合子。以体重指数(BMI)分层后,BMIlt;25组内,FBG与PPARγ2基因型相关（P=0.029)。以基因型分组比较,PA组空腹血糖水平和胰岛素抵抗指数都低于PP组(Plt;0.05)。结论:成都地区高血压患者PPARγ2基因Pro12Ala多态性与空腹血糖水平相关,且携带Ala基因者空腹血糖水平较低,胰岛素抵抗较轻,推测该突变可能有减轻高血压病患者胰岛素抵抗,改善糖代谢异常的作用。Abstract: Objective:To study the association between the Pro12Ala polymorphism in peroxisome proliferatorsactivated receptorγ2 ( PPARγ2 ) gene and blood glucose levels in patients with primary hypertension. Methods：The Pro12Ala polymorphism in PPARγ2 was determined by polymerase chain reactionrestriction fragment length polymorphism (PCRRELP) in 177 subjects with primary hypertension of the Han people in Chengdu of China, including 65 subjects with fasting blood glucose (FBG)lt;5.6 mmol/L and 112 subjects with FBG≥5.6 mmol/L; the clinical characteristics including height, weight, OGTT(0h and 2h) of the subjects were detected and the realationship between the Pro12Ala polymorphism and the clinical characteristics were analysed. Results: The allele frequencies in the group with FBGlt;5.6 mmol/L and FBG≥5.6 mmol/L were 0.333, 0.602 for Pro and 0.034, 0.031 for Ala. The genotype frequencies were 0.299, 0.571 for PP and 0.068, 0.062 for PA, and there was no AA. In the group with BMIlt;25, the Pro12Ala polymorphism was associated with FBG （P=0.029). the Ala allele had a negative relationship to the FPG and insulin resistance index (IRI) (Plt;0.05).Conclusion: The data showed that the Pro12Ala polymorphism was associated with FBG., and The allele Ala probably had benefits to glycometabolic disturbance in patients with primary hypertension by declining insulin resistance.
摘要:目的:探讨经尿道前列腺电切术中糖尿病患者血糖变化以及处理对策。方法:2006年7月~ 2009年1月共对80例患有前列腺增生合并糖尿病患者行TURP,同期对80例单纯性前列腺增生患者进行相同手术,回顾分析其术前、术中30 min、60 min、90 min 指尖血糖变化及干预情况。结果:治疗组80例患者,51例术中血糖值明显低于术前,分别为1.8～3 mmol/L;对照组术前与术中血糖值基本一致,血糖波动于4.5～5.6 mmol/L。结论:糖尿病患者糖的储备能力差,在行经尿道电切术中易发生低血糖综合征,术中及时的血糖监测及干预对保证患者的安全有重要意义。Abstract: Objective: To study the changes and measures against the glucose in the operation of the Diabetes by TURP. Methods:Eighty patients with prostate combining diabetes operated from July 2006 to Jan. 2009 were reviewed, and 80 prostate treated at the same period with the same operation measure were selected as control. The preoperative glucose, intraoperative glucose (30′, 60′,90′) of fingertip, and countermeasures were studied and compared between the two groups. Results:Fiftyone cases of the experimental group of intraoperative blood glucose was significantly lower than preoperative values, respectively 1.83 mmol/ L; control group preoperative and intraoperative blood glucose values were basically the same, blood glucose fluctuations in the 4.55.6 mmol/L. Conclusion: The capacity in patients with diabetes is poor, easy to hypoglycemia syndrome in the act of TURP surgery, intraoperative blood glucose monitoring and timely intervention to ensure patient safety significance.
For the near-infrared (NIR) spectral analysis of the concentration of blood glucose, the calibration accuracy can be affected because of the existing of outlier samples. In this research, a Monte-Carlo cross validation (MCCV) method is constructed for eliminating outlier samples. The human blood plasma experiment in vitro and the human body experiment in vivo were introduced to evaluate the MCCV method for its application effect in NIR spectral analysis of blood glucose. And the uninformative sample elimination method based on modified uninformative variable elimination (MUVE-USE) was employed in this study for the comparison with MCCV. The results indicated that, like the MUVE-USE method, the outlier samples elimination method based on MCCV could be used to eliminate the outlier samples which came from gross errors (such as bad sample) or system errors (such as baseline drift). In addition, the outlier samples from the random errors of uncertain causes which affect model accuracy can be eliminated simultaneously by MCCV. The elimination of multiple outlier samples is beneficial to the improvement of prediction accuracy of calibration model.
ObjectiveTo explore the influence factors of gallstone. MethodsClinical data of 511 patients who were admitted to our hospital from Apr. 2015 to Apr. 2016 were retrospectively analyzed. ResultsOf 511 patients, there were 274 patients with gallstone (gallstone group) and 237 patients without gallstone (control group). Univariate analysis results showed that, no significant difference of age, gender, and diabetes was found between gallstone group and control group (P > 0.050), but the levels of serum total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL-C), and fasting blood glucose (FBG) were significantly higher in patients of gallstone group (P < 0.050), but the level of serum high density lipoprotein (HDL-C) was significantly lower in patients of gallstone group (P=0.001). Logistic regression results showed that four factors including diabetes〔OR=4.491; 95% CI is (2.021, 9.976); P < 0.001〕, the serum TC〔OR=2.548; 95% CI is (1.944, 3.338); P < 0.001〕, HDL-C〔OR=0.115; 95% CI is (0.056, 0.237); P < 0.001〕, and FBG〔OR=1.277; 95% CI is (1.086, 1.502); P=0.003〕 entered the final regression model after controlling confounding factors. The results showed that patients who combined with diabetes, high levels of serum TC and FBG, and low level of serum HDL-C, had higher ratio of galls-tone. ConclusionDiabetes, high-level of serum TC and FBG, low-level of serum HDL-C were risk factors of gallstone.
Existing near-infrared non-invasive blood glucose detection modelings mostly detect multi-spectral signals with different wavelength, which is not conducive to the popularization of non-invasive glucose meter at home and does not consider the physiological glucose dynamics of individuals. In order to solve these problems, this study presented a non-invasive blood glucose detection model combining particle swarm optimization (PSO) and artificial neural network (ANN) by using the 1 550 nm near-infrared absorbance as the independent variable and the concentration of blood glucose as the dependent variable, named as PSO-2ANN. The PSO-2ANN model was based on two sub-modules of neural networks with certain structures and arguments, and was built up after optimizing the weight coefficients of the two networks by particle swarm optimization. The results of 10 volunteers were predicted by PSO-2ANN. It was indicated that the relative error of 9 volunteers was less than 20%; 98.28% of the predictions of blood glucose by PSO-2ANN were distributed in the regions A and B of Clarke error grid, which confirmed that PSO-2ANN could offer higher prediction accuracy and better robustness by comparison with ANN. Additionally, even the physiological glucose dynamics of individuals may be different due to the influence of environment, temper, mental state and so on, PSO-2ANN can correct this difference only by adjusting one argument. The PSO-2ANN model provided us a new prospect to overcome individual differences in blood glucose prediction.
ObjectiveTo explore the relationship between glycated hemoglobin (HbA1c) level and blood glucose fluctuations after coronary artery bypass grafting (CABG) and adverse events in non-diabetic patients, thus providing theoretical support for intensive preoperative blood glucose management in patients undergoing CABG surgery.MethodsA total of 304 patients undergoing CABG with or without valvular surgery from October 2013 to December 2017 were enrolled in this prospective, single-center, observational cohort study. We classified them into two different groups which were a low-level group and a high-level group according to the HbA1c level. There were 102 males and 37 females, aged 36–85 (61.5±9.5) years in the low-level group, and 118 males and 47 females aged 34–85 (63.1±9.4) years in the high-level group. The main results were different in hospital mortality and perioperative complications including in-hospital death, myocardial infarction, sternal incision infection, new stroke, new-onset renal failure and multiple organ failure. To assess the effects of confounding factors, multivariate logistic regression analysis was used.Results Postoperative blood glucose fluctuation was more pronounced in the high-level group than that in the low-level group before admission [0.8 (0.6, 1.2) mmol/L vs. 1.0 (0.8, 1.8) mmol/L, P<0.01]. This study also suggested that the incidence of major adverse events was significantly lower in the low-level group compared with the high-level group (P=0.001). Multivariate logistic regression analyses to correct the influence of other confounding factors showed that HbA1c (OR=2.773, P=0.002) and postoperative blood glucose fluctuations (OR=3.091, P<0.001) could still predict the occurrence of postoperative adverse events.ConclusionHbA1c on admission can effectively predict blood glucose fluctuations in 24 hours after surgery. Secondly, HbA1c on admission and postoperative blood glucose fluctuations can further predict postoperative adverse events. It is suggested that we control the patient's preoperative HbA1c at a low level, which is beneficial to control postoperative blood glucose fluctuation and postoperative adverse events.
ObjectiveTo explore the prognostic value of fasting blood glucose concentration in patients with newly diagnosed lung cancer.MethodsThe clinical data of 956 patients with lung cancer who were first diagnosed at West China Hospital of Sichuan University between January 2008 and December 2011 were retrospectively analyzed. The patients were followed up for more than 5 years. Using the fasting blood glucose concentration of 6.1 mmol/L as the cut-off value, the patients were divided into the hyperglycemia group and the control group. Kaplan-Meier method was used for survival analysis, and log-rank test was used to analyze the survival of different groups. Univariate and multivariate Cox proportional hazard models were used to evaluate the prognostic variables.ResultsThere were 166 patients in the hyperglycemia group with a 5-year overall survival rate of 23.5%, and 790 patients in the control group with a 5-year survival rate of 30.8%, and the difference between the two groups was statistically significant (P=0.008). Univariate Cox proportional hazard analysis found that blood glucose concentration, gender, age, smoking history, staging, and whether surgery were factors that affected the 5-year survival rate of patients (P<0.05); multivariate Cox proportional hazard analysis showed that blood glucose concentration [hazard ratio (HR)=1.235, 95% confidence interval (CI) (1.013, 1.504), P=0.036], age [HR=1.305, 95%CI (1.110, 1.534), P=0.001], smoking history [HR=1.210, 95%CI (1.033, 1.418), P=0.018], staging [HR=1.546, 95%CI (1.172, 2.040), P=0.002], and whether surgical treatment [HR=0.330, 95%CI (0.257, 0.424), P<0.001] were independent factors which influenced 5-year survival rate. Blood glucose concentration, age, smoking history, and staging were independent risk factors.ConclusionFasting blood glucose concentration is able to be a prognostic factor for patients with newly diagnosed lung cancer.