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        find Keyword "blood glucose" 21 results
        • Long-term dynamic characteristics of liver function in human immunodeficiency virus-infected patients with metabolic dysfunction-associated fatty liver disease

          Objective To investigate the long-term dynamic changes of liver function and glucose-lipid metabolism in human immunodeficiency virus (HIV)-infected patients with metabolic dysfunction-associated fatty liver disease (MAFLD) after antiretroviral therapy (ART). Methods HIV-infected patients who visited Public Health Clinical Center of Chengdu between October 1st, 2012 and June 30th, 2013 were recruited and divided into two groups according to whether they had MAFLD or not. All of them were treated with the first-line regimen of tenofovir + lamivudine + efavirenz for 156 weeks, and the anthropometric indices, liver function, and levels of glucose, lipids and uric acid were measured at baseline and at each follow-up time point. In addition, the long-term dynamic characteristics of liver function and glucose and lipid metabolism parameters of the two groups were compared during the 156 weeks of ART treatment. Results A total of 61 male HIV-infected patients were enrolled. The prevalence of MAFLD in them was 31.1% (19/61) at baseline and increased by 4.9 percentage points per year after ART. Before the start of follow-up (week 0), the levels of alanine aminotransferase (ALT) [(46.23±27.09) vs. (28.00±17.43) U/L, P=0.002] and γ-glutamyl transpeptidase (GGT) [(41.46±9.89) vs. (24.02±10.72) U/L, P<0.001] were higher in the MAFLD group than those in the non-MAFLD group, while the between-group differences in the levels of aspartate aminotransferase (AST) [(33.33±15.61) vs. (28.98±12.43) U/L, P=0.248] and alkaline phosphatase [(85.30±21.27) vs. (83.41±24.47) U/L, P=0.773] were not statistically significant. During the 156-week follow-up period, the 4 items of liver function gradually increased in the MAFLD group, especially from week 120 onwards, 3 of which (ALT, AST and GGT) were significantly higher than those in the non-MAFLD group (P<0.05). In addition, the levels of fasting blood glucose, triglyceride, total cholesterol, and low-density lipoprotein were also significantly higher in the MAFLD group than those in the non-MAFLD group at some time points during the 156-week follow-up period (P<0.05). Conclusions Compared with HIV-infected patients without MAFLD, HIV-infected patients with MAFLD are more likely to develop impaired liver function and disorders of glucose and lipid metabolism during long-term tenofovir + lamivudine + efavirenz regimen ART treatment. Therefore, close clinical monitoring of liver function and glucose and lipid metabolism related parameters is required for such patients.

          Release date:2023-09-28 02:17 Export PDF Favorites Scan
        • Prognostic value of fasting glucose concentration in patients with newly diagnosed lung cancer

          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.

          Release date:2019-04-22 04:14 Export PDF Favorites Scan
        • Change of Blood Glucose and Its Clinical Significance in the Patients with Acute Pancreatitis

          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.

          Release date:2016-08-28 05:11 Export PDF Favorites Scan
        • Analysis of Influence Factors of Gallstone

          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.

          Release date:2016-12-21 03:35 Export PDF Favorites Scan
        • Study on the value of blood glucose variability indexes in predicting persistent organ failure after acute pancreatitis

          ObjectiveTo explore the relationship between blood glucose variability index and persistent organ failure (POF) in acute pancreatitis (AP). MethodsWe prospectively included those patients who were diagnosed with AP with hyperglycemia and were hospitalized in the West China Center of Excellence for Pancreatitis of West China Hospital of Sichuan University from July 2019 to November 2021. The patients were given blood glucose monitoring at least 4 times a day for at least 3 consecutive days. The predictive value of blood glucose variability index for POF in patients with AP was analyzed. ResultsA total of 559 patients with AP were included, including 95 cases of POF. Comparing with those without POF, patients with AP complicated by POF had higher levels of admission glucose (11.0 mmol/L vs. 9.6 mmol/L), minimum blood glucose (6.8 mmol/L vs. 5.8 mmol/L), mean blood glucose (9.6 mmol/L vs. 8.7 mmol/L), and lower level of coefficient of variation of blood glucose (16.6 % vs. 19.0 %), P<0.05. Logistic regression analyses after adjustment for confounding factors showed that the risk of POF increased with the increase of admission glucose [OR=1.11, 95%CI (1.04, 1.19), P=0.002], minimum blood glucose [OR=1.28, 95%CI (1.10, 1.48), P=0.001] and mean blood glucose [OR=1.18, 95%CI (1.04, 1.33), P=0.010]; with the higher level of coefficient of variation of blood glucose [OR=0.95, 95%CI (0.92, 0.99), P=0.021], the risk of POF decreased. The results of area under the curve (AUC) of the receiver operator curves showed that AG [AUC=0.787, 95%CI (0.735, 0.840)] had the highest accuracy in predicting POF, with sensitivities of 60.0% and specificities of 84.7%. ConclusionHigh admission glucose, minimum blood glucose, mean blood glucose, and low coefficient of variation of blood glucose were risk factors for the development of POF in patients with hyperglycemic AP on admission.

          Release date:2024-03-23 11:23 Export PDF Favorites Scan
        • Association of the Pro12Ala Polymorphism in PPAR γ2 Gene with Blood Glucose Levels in Patients with Primary Hypertension of Chengdu

          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(Plt;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 proliferatorsactivated receptorγ2 ( PPARγ2 ) gene and blood glucose levels in patients with primary hypertension. Methods:The Pro12Ala polymorphism in PPARγ2 was determined by polymerase chain reactionrestriction fragment length polymorphism (PCRRELP) 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) (Plt;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.

          Release date:2016-09-08 10:12 Export PDF Favorites Scan
        • Study on noninvasive blood glucose detection method using the near-infrared light based on particle swarm optimization and back propagation neural network

          Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.

          Release date:2022-04-24 01:17 Export PDF Favorites Scan
        • Accuracy of continuous glucose monitoring system in emergency critically ill patients

          Objective To investigate the accuracy of continuous glucose monitoring (CGM) system in emergency critically ill patients. Methods Critically ill patients admitted to the Intensive Care Unit of Department of Emergency Medicine, West China Hospital of Sichuan University between August 2022 and February 2023 were continuously enrolled. Blood glucose monitoring was performed using CGM system, while blood glucose in the patient’s fingertips was monitored every 4 hours. The correlation and consistency of blood glucose values between CGM system and fingertip glucose detection were compared. Results A total of 52 patients were included, and 1 504 matching blood glucose pairs were formed with fingertip blood glucose values. The overall correlation coefficient was 0.874 (P<0.001), the mean absolute relative difference was 14.50%, and the highest mean absolute relative difference (31.76%) was observed in the hypoglycemic range (<3.9 mmol/L). The percentage of CGM system blood glucose within ±15%, ±20% and ±30% of fingertip blood glucose was 56.65%, 75.56% and 94.75%, respectively. The intra-group correlation coefficient between CGM system blood glucose and fingertip blood glucose was 0.85 on the consistency test, and the Bland-Altman plot showed acceptable clinical accuracy. Conclusions The overall accuracy of the application of CGM system in critically ill patients is reasonable, but the accuracy in the range of low blood glucose values is poor. Whether the auxiliary use of CGM system can improve the blood glucose management of critically ill patients and reduce medical costs needs to be further studied.

          Release date:2024-11-27 02:45 Export PDF Favorites Scan
        • The research of near-infrared blood glucose measurement using particle swarm optimization and artificial neural network

          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.

          Release date:2017-10-23 02:15 Export PDF Favorites Scan
        • Association between admission fasting blood glucose-to-albumin ratio and in-hospital outcomes after abdominal aortic aneurysm repair

          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.

          Release date:2025-11-21 09:03 Export PDF Favorites Scan
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