摘要:目的:研究高血壓病患者過氧化物酶體增殖物激活受體(PPAR)γ2基因Pro12Ala多態性與血糖水平之間的關系。方法:納入177名原發性高血壓患者,其中空腹血糖(FBG)lt;5.6 mmol/L組65例, FBG≥5.6 mmol/L組112例,收集一般資料;分別測定空腹及餐后2小時血糖、胰島素;對PPARγ2 基因Pro12Ala多態性與各臨床變量的關系進行研究。結果:FBGlt;5.6 mmol/L組和FBG≥5.6 mmol/L組Pro和Ala等位基因頻率分別為0.333,0.034及0.602,0.031;PP和PA基因型頻率分別為0.299,0.068及0.571,0.062;無AA型純合子。以體重指數(BMI)分層后,BMIlt;25組內,FBG與PPARγ2基因型相關（P=0.029)。以基因型分組比較,PA組空腹血糖水平和胰島素抵抗指數都低于PP組(Plt;0.05)。結論:成都地區高血壓患者PPARγ2基因Pro12Ala多態性與空腹血糖水平相關,且攜帶Ala基因者空腹血糖水平較低,胰島素抵抗較輕,推測該突變可能有減輕高血壓病患者胰島素抵抗,改善糖代謝異常的作用。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:探討經尿道前列腺電切術中糖尿病患者血糖變化以及處理對策。方法:2006年7月~ 2009年1月共對80例患有前列腺增生合并糖尿病患者行TURP,同期對80例單純性前列腺增生患者進行相同手術,回顧分析其術前、術中30 min、60 min、90 min 指尖血糖變化及干預情況。結果:治療組80例患者,51例術中血糖值明顯低于術前,分別為1.8～3 mmol/L;對照組術前與術中血糖值基本一致,血糖波動于4.5～5.6 mmol/L。結論:糖尿病患者糖的儲備能力差,在行經尿道電切術中易發生低血糖綜合征,術中及時的血糖監測及干預對保證患者的安全有重要意義。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.
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.
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 investigate the association between the admission fasting blood glucose-to-albumin ratio (FAR) and in-hospital outcomes in patients with abdominal aortic aneurysm (AAA) underwent open surgical repair (OSR) or endovascular aneurysm repair (EVAR). MethodsA retrospective study was conducted on patients with AAA who underwent OSR or EVAR at Nanjing Drum Tower Hospital from January 2020 to January 2024 and met the inclusion criteria. The receiver operating characteristic (ROC) curve was used to evaluate the discriminative ability of the FAR for in-hospital mortality after AAA surgery and to determine its optimal cutoff value. Patients were then divided into a low-FAR group (FAR below the cutoff) and a high-FAR group (FAR equal to or above the cutoff) based on this value. Logistic regression analysis, Cox proportional hazards regression models, and Kaplan-Meier survival curves were employed to examine the relation between FAR and postoperative in-hospital severe complications (Clavien-Dindo grade Ⅲ or above) as well as in-hospital all-cause mortality. ResultsA total of 191 patients were included in this study. The area under the ROC curve of FAR for predicting in-hospital mortality was 0.707 [95%CI (0.637, 0.770)], with an optimal cutoff value of 2.33. There were 164 in the low-FAR group and 27 in the high-FAR group. The incidence of postoperative in-hospital severe complications and in-hospital all-cause mortality were significantly higher in the high-FAR group compared to the low-FAR group [29.63% (8/27) vs. 12.20% (20/164), χ2=4.60, P=0.032; 14.81% (4/27) vs. 2.44% (4/164), χ2=6.03, P=0.014]. An elevated FAR was identified as a risk factor for both postoperative in-hospital severe complications [OR (95%CI)=1.49 (1.27, 1.88), P=0.018] and in-hospital all-cause mortality [HR (95%CI)=1.35 (1.29, 3.06, P=0.047]. Kaplan-Meier survival analysis showed significantly worse survival in patients with a high-FAR compared to those with a low-FAR (χ2=10.44, P=0.001). ConclusionElevated AAR is a risk factor for poor in-hospital outcomes in AAA patients treated with OSR or EVAR and may serve as a valuable marker for assessing in-hospital outcomes.
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.
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.
Objective To investigate the application effect of ndividualized dietary care based on a multidisciplinary collaboration model on glycemic control, neurological recovery, dietary self-management, and satisfaction in stroke patients with abnormal blood glucose. Methods Patients with stroke and abnormal blood glucose admitted to the Department of Neurology, Shangjin Hospital, West China Hospital, Sichuan University between March and October 2024 were enrolled. Using SPSS 26.0 software, a random allocation sequence was generated to divide participants into an observation group and a control group. The control group received comprehensive nursing interventions, while the observation group received additional multidisciplinary collaboration model based individualized dietary care. Both groups were intervened until discharge. Glycemic indicators [glycated albumin (GA), fasting blood glucose (FBG), 2-hour postprandial blood glucose (2hPG)], neurological recovery, dietary adherence, and patient satisfaction were compared pre-intervention and post-intervention (at discharge). Results A total of 112 patients were included, with 56 patients in each group. At the post-intervention stage, GA, FBG and 2hPG in the observation group were lower than those in the control group (P<0.05), and the scores of the Dietary Compliance Scale for Type 2 Diabetes were higher than those in the control group (P<0.05). Except for admission (3.27±0.86 vs. 3.25±0.90, P＞0.05), the modified Rankin Scale scores of the observation group were lower than those of the control group at discharge (3.14±0.86 vs. 3.17±0.86), 30-days follow-up (2.93±0.76 vs. 3.02±0.84), and 90-days follow-up (1.05±0.80 vs.1.43±1.01) (P<0.05). The comparison results within the group showed that, there were significant differences in GA, FBG, 2hPG, modified Rankin Scale scores and Dietary Compliance Scale for Type 2 Diabetes between admission and discharge (P<0.05). The satisfaction rate of the observation group was higher than that of the control group (97.78% vs. 86.76%; χ2=3.877, P=0.049). Conclusion Multidisciplinary collaboration model based individualized dietary care improves short-term glycemic control, promotes long-term neurological recovery, enhances dietary adherence, and increases patient satisfaction in stroke patients with abnormal blood glucose, demonstrating clinical value for widespread application.
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.