ObjectiveTo systematically evaluate effect of metformin on prognosis of colorectal cancer patients with type 2 diabetes mellitus (T2DM).MethodsThe PubMed, Embase, Web of Science, Cochrane Library, CNKI, VIP, Wangfang, etc. databases for cohort studies over the past 10 years were systematically searched. The relationship between the metformin and the prognosis in the colorectal cancer patients with T2DM was assessed with RevMan 5.3 software.ResultsA total of 12 articles with 13 694 patients were included in this study, of which 9 069 patients treated by the metformin (metformin group) and 4 625 patients treated by the other antidiabetic agent (control group). The results of meta-analysis showed that the metformin group had higher over survival [HR=0.74, 95%CI (0.66, 0.82), P<0.000 01] and cancer-specific survival [HR=0.77, 95%CI (0.69, 0.86), P<0.000 01] as compared with the control group. The sensitivity analysis of the heterogeneity showed that the research results did not be changed when the study which might cause heterogeneity was excluded. ConclusionMetformin treatment could improve prognosis of colorectal cancer patients with T2DM and improve overall survival and cancer-specific survival.
Patients with type 2 diabetes mellitus often face significant treatment burden, which substantially impacts their quality of life and health outcomes. Reducing treatment burden represents a critical component for improving patient prognosis and enhancing treatment adherence. Based on the cumulative complexity model, this article systematically examines the conceptual connotation and multidimensional characteristics of treatment burden in type 2 diabetes mellitus patients, explores the theoretical extension and application value of cumulative complexity model in the type 2 diabetes mellitus field, elucidates its specific applications and recent advances in treatment burden research, evaluates the limitations of existing assessment tools while proposing a multidimensional assessment framework, and ultimately develops cumulative complexity model based intervention strategies. The findings provide theoretical references for optimizing patient-centered diabetes management approaches and offer novel perspectives for treatment burden intervention.
摘要:目的: 观察格列美脲对2型糖尿病患者心血管的保护作用并探讨其可能的机制。 方法 :112例T2DM患者随机分为格列美脲组(格列美脲+二甲双胍)和对照组(格列本脲+二甲双胍),观察治疗前后两者空腹及餐后两小时血糖(FBG,2hPBG)、糖化血红蛋白(HbA1c)、空腹胰岛素(FINS)、HOMA模型胰岛素抵抗指数(HOMAIR)、甘油三脂(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDLC)、低密度脂蛋白胆固醇(LDLC)、同型半胱氨酸(HCY)、血浆脂联素的变化。 结果 :两组患者的TC、LDLC、TG、FBG、2hPBG都较治疗前降低,连续服用6个月以上格列美脲的T2DM患者其血浆HCY、HOMAIR、血糖水平明显下降,血浆脂联素水平明显升高,与对照组相比差异有统计学意义(〖WTBX〗P lt;005)。 结论 :格列美脲能降低多项心血管危险因子水平,对血脂、HCY和动脉粥样硬化都有良性调节作用,其作用基础可能与改善胰岛素抵抗,增加血浆脂联素相关。Abstract: Objective: To observe the protective effects and to explore mechanisms of glimepiride on cardiovascular system of Type 2 Diabetes Mellitus. Methods : 112 patients with type 2 diabetes mellitus were randomly divided into treatment group (glimepiride combined with metformin) and control group (glibenclamide combined with metformin). The fasting blood glucose (FBG), 2hPBG, hemoglobin A1c (HbA1c), FINS, HOMAIR, blood lipid (TC, TG, LDLC and HDLC), HCY (homocysteine) and adiponectin were detected before and after treatment. Results : In all cases, the level of TC、LDLC、TG、FBG、2hPBG were decreased after treated with glimepiride or glibenclamide combined with metformin for 6 monthes. Moreover, the level of HCY, HOMAIR and blood glucose were decreased and the level of adiponectin was increased significantly than that of in control group (Plt;005). Conclusion : Glimepiride showed the effective on decreasing the risk factor of cardiovascular system disease with regulation of blood lipid, HCY, and improve the atherosclerosis. The effective of glimepiride on cardiovascular system was relation to improved the insulin resistance and increase the adiponectin.
Objective To assess the improvement of different resistance training regimens on blood lipid metabolism and insulin resistance in patients with type 2 diabetes mellitus (T2DM). Methods PubMed, ProQuest, Embase, Web of Science, China National Knowledge Infrastructure, Wanfang, and VIP databases were searched to collect randomized controlled trials of resistance training intervention to improve blood lipids and insulin resistance in patients with T2DM. The search time range was from the establishment of the databases to May 2023. Two reviewers assessed the risk of bias of the included studies using the Physiotherapy Evidence Database scale, and performed a network meta-analysis of the extracted data using Stata 16.0 software. Results In the end, 24 articles were included, and a total of 983 participants were enrolled. The result of network meta-analysis showed that high-frequency and moderate-intensity resistance exercise significantly improved the levels of insulin resistance [standardized mean difference=−1.71, 95% confidence interval (CI) (−2.75, −0.67)], triglycerides [weighted mean difference (WMD)=−0.27 mmol/L, 95%CI (−0.51, −0.04) mmol/L], and total cholesterol [WMD=−0.16 mmol/L, 95%CI (−0.20, −0.12) mmol/L], but had no significant effect on improving the level of high-density lipoprotein [WMD=0.05 mmol/L, 95%CI (−0.02, 0.11) mmol/L] or low-density lipoprotein [WMD=−0.20 mmol/L, 95%CI (−0.42, 0.03) mmol/L]. The results of cumulative probability ranking showed that high-frequency and moderate-intensity resistance exercise was the best in improving insulin resistance, triglycerides, high-density lipoprotein and low-density lipoprotein levels. Conclusion Based on current evidence, high-frequency and moderate-intensity resistance exercise may be the best resistance exercise regimen to improve insulin resistance and lipid metabolism in patients with T2DM.
Objective To investigate the clinical characteristics and pathogen distribution of community-acquired pneumonia (CAP) combined with type 2 diabetes mellitus (T2DM), based on bronchoalveolar lavage fluid (BALF) metagenomic next-generation sequencing (mNGS) test. Methods In this cross-sectional study, CAP patients with BALF mNGS test were screened from April 2023 to April 2024. The patients were divided into a single CAP group (CAP group) and a CAP combine with T2DM group (CAP+T2DM group). The data of demographics, underlying diseases, complications, and laboratory tests including blood routine, inflammatory parameters, liver and renal functions, random blood glucose (RGB), hemoglobin A1C (HbA1c), and BALF mNGS tests were collected and compared between the two groups. Results Ultimately, 86 patients were included, with 45 in the CAP group and 41 in the CAP+T2DM group. Compared with the CAP group, the CAP+T2DM group had higher platelet count [(272.44±128.57)×109/L vs. (215.00±100.06)×109/L], erythrocyte sedimentation rate [(75.63±35.19) vs. (59.69±34.47) mm/h], RGB [10.8 (9.1, 13.5) vs. 6.5 (5.8, 7.8) mmol/L], HbA1c [8.2% (7.3%, 8.5%) vs. 5.7% (5.5%, 6.1%)], and fungi infection rate (65.9% vs. 40.0%), and the differences were statistically significant between the two groups (P<0.05). Conclusion CAP patients with T2DM have increased levels of platelet and erythrocyte sedimentation rate, and are at higher risk for fungi infection, which potentially leads to worse outcome.
Objective To investigate effect of metabolic surgery on type 2 diabetes mellitus (T2DM) patients with body mass index (BMI) 27.5–32.5 kg/m2. Methods The clinical data of 43 T2DM patients with BMI 27.5–32.5 kg/m2 underwent metabolic surgery from October 2014 to October 2016 in the Third Xiangya Hospital of Central South University were analyzed retrospectively. The related indexes such as BMI, blood glucose level, blood lipid level were analyzed before and after metabolic surgery. Results All the patients underwent metabolic surgery successfully. Among them, 35 cases underwent laparoscopic gastric bypass surgery while 8 cases underwent laparoscopic sleeve gastrectomy without related complications after operation. Compared with preoperative indexes, the BMI, fasting blood glucose, HbA1c, triglyceride, and total cholesterol on the postoperative different time were all significantly decreased (P<0.05) except for the HbA1c on the postoperative 1-week, the high density lipoprotein level on the postoperative 12-month was significantly increased (P<0.05). The OGTT 30, 60, and 120 min blood glucose levels on the postoperative 1-week and 3-month, and 60 and 120 min blood glucose levels on the postoperative 6-month and 12-month were all significantly decreased (P<0.05). The OGTT-IRT 60 min insulin level on the postoperative 3-month and the 30 min insulin levels on the postoperative 6- and 12-month were all significantly increased (P<0.05). The levels of OGTT-CRT 30 and 60 min C peptide on the postoperative 6-month and the level of 30 min C peptide on the postoperative 12-month were all significantly increased (P<0.05). Conclusions Metabolic surgery is effective in treatment of T2DM patients with BMI 27.5–32.5 kg/m2, and levels of blood glucose and blood lipids can be improved significantly. Synthesis and release of insulin by islet cells can be ameliorated.
ObjectiveTo investigate the effect of the remnant stomach after gastric bypass (GB) surgery on the weight loss and glucose metabolism in rats with obese and type 2 diabetes mellitus (T2DM).MethodsHigh fat feeding for one month combined with intraperitoneal injection of low-dose streptozotocin was used to induce obese rats with T2DM. Twenty-four rats with obese and type T2DM successfully established were randomly divided into resectional gastric bypass (R-GB) group, GB surgery (GB group), and sham operation (SO) group, eight rats in each group. The weight loss and anti-diabetic effect of the R-GB and GB were compared. Body weight, food intake, and fasting blood glucose (FBG) were measured at week 1 before operation and week 1–8 after the operation. Oral glucose tolerance test (OGTT) and insulin tolerance test (ITT) were performed using tail venous blood at week 1 before operation and on week 8 after operation (at 0, 30, 60, 90, and 120 min). The levels of serum glucagon like peptide-1 (GLP-1), gastrin, insulin, and glucagon at week 1 before operation and at week 8 after operation were detected, meanwhile the homeostasis model assessment insulin resistance (HOMA-IR) index was calculated.Results① The body weight and food intake of the rats in the R-GB group and GB group were lower than those in the SO group after operation (P<0.05) and which were lower than before operation (P<0.05), but the differences were not significant between the R-GB group and GB group after operation (P>0.05). ② The levels of FBG in the R-GB group only at week 1–4 after operation were lower than those before operation (P<0.05), while which in the GB group at week 1–8 after operation were lower than those before operation and were lower than in the SO group (P<0.05), but which in the R-GB group only at week 2–4 after operation were lower than in the SO group and which were higher than that in the GB group from 3 to 8 weeks after operation (P<0.05). ③ The area under receiver operating characteristic curves (AUCs) of blood glucoses of OGTT and ITT and HOMA-IR index at week 8 after operation were lower than those before operation (P<0.05) in the GB group and which were lower than those the other two groups (P<0.05). ④ The AUC of gastrin level at week 8 after operation was lower than that before operation in the R-GB group and which lower than that in the other two groups (P<0.05). The AUC values of insulin and glucagon levels at week 8 after operation were lower than those before operation in the GB group and which lower than those in the other two groups (P<0.05). The AUC of GLP-1 level at week 8 after operation was higher than that before operation in the GB group and which higher than that in the other two groups (P<0.05).ConclusionsGB could remarkably improve glucose metabolism and weight loss in obese rat with T2DM. Gastric remnant gastrectomy following GB has a remarkable anti-diabetic effect, but it doesn’t effect on weight loss.
Objective To explore the relationship between the triglyceride glucose-body mass index (TyG-BMI) and hypertension, type 2 diabetes, as well as their comorbidity, aiming to provide a scientific basis for the early identification and precise prevention of these three diseases. Methods This research collected data from subjects in the China Health and Retirement Longitudinal Study (CHARLS) database. According to the quartiles of TyG-BMI, the included subjects were divided into Q1 group, Q2 group, Q3 group, and Q4 group. Logistic regression was used to analyze the association between the TyG-BMI and the three diseases separately. Further, a restricted cubic spline model was employed to investigate the potential non-linear dose-response relationship between the TyG-BMI index and the three diseases. Subgroup analysis was conducted using interaction tests to investigate whether there was an interaction between TyG-BMI and subgroup factors such as age and gender. Results A total of 4 847 participants were included. There were 1 212 cases in Q1 group, 1 212 cases in Q2 group, 1 211 cases in Q3 group, and 1 212 cases in Q4 group. The logistic regression results indicate that, after adjusting for all confounding factors, participants in the Q4 group had a higher risk of developing type 2 diabetes, hypertension, and comorbidity of hypertension and type 2 diabetes in Model 3 (P<0.05). The results from the restricted cubic spline model demonstrated a linear relationship between the TyG-BMI index and the risk of type 2 diabetes (P for non-linearity >0.05), while a non-linear relationship was observed with hypertension (P for non-linearity <0.05) and the comorbidity of hypertension and type 2 diabetes (P for non-linearity <0.05). Subgroup analysis using interaction tests showed that compared to the Q1 group, factors such as age, gender, smoking, alcohol consumption, and dyslipidemia in the Q2, Q3, and Q4 groups did not significantly alter the relationship between TyG-BMI and type 2 diabetes, hypertension, and their comorbidity. Overall, there was no significant interaction between TyG-BMI and factors like age, gender, smoking, alcohol consumption, and dyslipidemia (P for interaction >0.05). Conclusions In middle-aged and elderly populations, the higher the TyG-BMI, the greater the risk of hypertension, type 2 diabetes, and their comorbidity. The TyG-BMI could be considered an important indicator for the early identification of hypertension, type 2 diabetes, and their comorbidities.
Objective To construct, validate and evaluate a nomogram prediction model based on triglyceride-glucose index for predicting the risk of type 2 diabetes mellitus (T2DM) in patients with obstructive sleep apnea (OSA). Methods A total of 414 patients diagnosed with OSA who were hospitalized in the Second Affiliated Hospital of Kunming Medical University from July 2013 to July 2023 were retrospectively analyzed. They were randomly divided into training set (n=289) and validation set (n=125) at a ratio of 7:3 using R software. In the training set, univariate logistic regression, best subsets regression (BSR) and multivariate Logistic regression were used to determine the independent predictors of OSA combined with T2DM and construct a nomogram. The area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow goodness of fit test, decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the discrimination, calibration and clinical applicability of the nomogram prediction model. Finally, the internal validation of the nomogram prediction model was carried out on the validation set. Results In the training set, the results of univariate logistic regression, BSR and multivariate logistic regression analysis showed that hypertension (OR=2.413, 95%CI 1.276-4.563, P=0.007), apnea hypopnea index (OR=1.034, 95%CI 1.014-1.053, P=0.001), triglyceride-glucose index( OR=12.065, 95%CI 5.735-25.379, P<0.001), triglyceride/high density lipoprotein cholesterol (OR=0.736, 95%CI 0.634-0.855, P<0.001) were independent predictors of T2DM in OSA patients. A nomogram prediction model was constructed based on the above four predictors. In the training set and validation set, the AUC, sensitivity, and specificity of the nomogram prediction model for predicting the risk of T2DM in OSA patients were 0.820 (95%CI 0.771-0.869), 75.7%, 75.9% and 0.778 (95%CI 0.696-0.861), 74.5%, 73.0%, respectively, indicating that the nomogram had good discrimination. The calibration curve showed that the nomogram had a good calibration for predicting T2DM in OSA patients. DCA and CIC also showed that the nomogram prediction model had certain clinical utility. Conclusions A simple, fast and effective nomogram prediction model with good discrimination, calibration and clinical applicability was successfully constructed, validated and evaluated. It can be used to predict the risk of T2DM in OSA patients and help clinicians to identify patients with high risk of T2DM in OSA patients.
ObjectiveTo explore the risk factors affecting occurrence of arteriosclerosis obliterans (ASO) for patients with type 2 diabetes mellitus (T2DM) and to develop a nomogram predictive model using these risk factors. MethodsA case-control study was conducted. The patients with T2DM accompanied with ASO and those with T2DM alone, admitted to the First Affiliated Hospital of Xinjiang Medical University from January 2017 to December 2022, were retrospectively collected according to the inclusion and exclusion criteria. The basic characteristics, blood, thyroid hormones, and other relevant indicators of the paitents in two groups were compared. The multivariate logistic regression analysis was used to identify the risk factors for the occurrence of ASO in the patients with T2DM, and then a nomogram predictive model was developed. ResultsThere were 119 patients with T2DM alone and 114 patients with T2DM accompanied with lower extremity ASO in this study. The significant differences were observed between the two groups in terms of smoking history, white blood cell count, neutrophil count, lymphocyte count, platelet count, systemic immune-inflammation index, systemic inflammatory response index (SIRI), high-density lipoprotein cholesterol, apolipoprotein A1 (ApoA1), apolipoprotein α (Apoα), serum cystatin C, free-triiodothyronine (FT3), total triiodothyronine, FT3/total triiodothyronine ratio, fibrinogen (Fib), fibrinogen degradation products, and plasma D-dimer (P<0.05). Further the results of the multivariate logistic regression analysis revealed that the history of smoking, increased Fib level and SIRI value increased the probabilities of ASO occurrence in the patients with T2DM [OR (95%CI)=2.921 (1.023, 4.227), P=0.003; OR (95%CI)=2.641 (1.810, 4.327), P<0.001; OR (95%CI)=1.020 (1.004, 1.044), P=0.018], whereas higher levels of ApoA1 and FT3 were associated with reduced probabilities of ASO occurrence in the patients with T2DM [OR (95%CI)=0.231 (0.054, 0.782), P=0.021; OR (95%CI)=0.503 (0.352, 0.809), P=0.002]. The nomogram predictive model based on these factors demonstrated a good discrimination for predicting the ASO occurrence in the T2DM patients [area under the receiver operating characteristic curve (95%CI)=0.788 (0.730, 0.846)]. The predicted curve closely matched the ideal curve (Hosmer-Lemeshow goodness-of-fit test, χ2=5.952, P=0.653). The clinical decision analysis curve showed that the clinical net benefit of intervention based on the nomogram model was higher within a threshold probability range of 0.18 to 0.80 compared to no intervention or universal intervention. ConclusionsThe analysis results indicate that T2DM patients with a smoking history, elevated Fib level and SIRI value, as well as decreased ApoA1 and FT3 levels should be closely monitored for ASO risk. The nomogram predictive model based on these features has a good discriminatory power for ASO occurrence in T2DM patients, though its value warrants further investigation.