BACKGROUND Colorectal polyps(CPs)are frequently occurring abnormal growths in the colorectum,and are a primary precursor of colorectal cancer(CRC).The triglyceride-glucose(TyG)index is a novel marker that assesses met...BACKGROUND Colorectal polyps(CPs)are frequently occurring abnormal growths in the colorectum,and are a primary precursor of colorectal cancer(CRC).The triglyceride-glucose(TyG)index is a novel marker that assesses metabolic health and insulin resistance,and has been linked to gastrointestinal cancers.AIM To investigate the potential association between the TyG index and CPs,as the relation between them has not been documented.METHODS A total of 2537 persons undergoing a routine health physical examination and colonoscopy at The First People's Hospital of Kunshan,Jiangsu Province,China,between January 2020 and December 2022 were included in this retrospective cross-sectional study.After excluding individuals who did not meet the eligibility criteria,descriptive statistics were used to compare characteristics between patients with and without CPs.Logistic regression analyses were conducted to determine the associations between the TyG index and the prevalence of CPs.The TyG index was calculated using the following formula:Ln[triglyceride(mg/dL)×glucose(mg/dL)/2].The presence and types of CPs was determined based on data from colonoscopy reports and pathology reports.RESULTS A nonlinear relation between the TyG index and the prevalence of CPs was identified,and exhibited a curvilinear pattern with a cut-off point of 2.31.A significant association was observed before the turning point,with an odds ratio(95% confidence interval)of 1.70(1.40,2.06),P<0.0001.However,the association between the TyG index and CPs was not significant after the cut-off point,with an odds ratio(95% confidence interval)of 0.57(0.27,1.23),P=0.1521.CONCLUSION Our study revealed a curvilinear association between the TyG index and CPs in Chinese individuals,suggesting its potential utility in developing colonoscopy screening strategies for preventing CRC.展开更多
Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients w...Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients with COVID-19. Methods: A retrospective analysis of COVID-19 patients treated at a tertiary hospital in Mianyang City, Sichuan Province, China, from 1 May to 31 May 2023 was performed. The patients were divided into two groups: 66 cases in the moderate group and 61 cases in the severe group. Additionally, 69 uninfected individuals from the medical examination center during the same period were selected as the control group. Spearman rank correlation was used to determine the correlation between the indices and COVID-19 severity. Multiple logistic regression analysis was performed to identify the factors affecting COVID-19 severity. ROC curves were constructed to assess the predictive value of the TyG and TyG-BMI indices for severe COVID-19. Results: There were significant differences in smoking and diabetes between the three groups (P Conclusion: Smoking, AST, ALB, TyG index, and TyG-BMI index are valuable in assessing the severity of COVID-19, with the TyG-BMI index having a higher predictive value than the TyG index.展开更多
目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年...目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年6月复旦大学附属上海市第五人民医院和新疆喀什地区第二人民医院产科孕早期建档并符合纳入标准的孕妇1532例为研究对象,根据孕妇24~28周行口服葡萄糖耐量试验(oral glucose tolerance test,OGTT)结果,将其分为GDM组(754例)及非GDM组(778例)。GDM组患者根据新生儿体重,将其分为SGA组、大于胎龄儿(large for gestational age infant,LGA)组和适于胎龄儿(appropriate for gestational age infant,AGA)组。分析GDM患者分娩SGA的独立影响因素,采用Logistic回归模型分析TyG指数与发生SGA的相关性。绘制ROC曲线以分析妊娠早期TyG指数对GDM患者分娩SGA的预测价值。结果GDM患者SGA组TyG指数显著低于LGA组、AGA组及非GDM组(P<0.05);多因素Logistic回归分析结果显示,TyG指数与GDM患者分娩SGA的发生独立相关(P<0.05);ROC曲线结果显示,妊娠早期TyG指数对GDM患者分娩SGA具有较好的预测价值(AUC=0.821,95%CI:0.763~0.879,P<0.001)。结论GDM患者妊娠早期TyG指数与分娩SGA之间存在独立相关,对于GDM患者分娩SGA具有较好的预测价值。展开更多
目的探讨冠心病(CHD)患者甘油三酯葡萄糖乘积指数(Ty G index)与肿瘤坏死因子-α(TNF-α)、白介素-6(IL-6)的关系。方法选取2007年9月—2011年8月该院收治的171例行冠状动脉造影者,采集所有患者的血压、冠脉病变积分(CAS)、血糖血脂和...目的探讨冠心病(CHD)患者甘油三酯葡萄糖乘积指数(Ty G index)与肿瘤坏死因子-α(TNF-α)、白介素-6(IL-6)的关系。方法选取2007年9月—2011年8月该院收治的171例行冠状动脉造影者,采集所有患者的血压、冠脉病变积分(CAS)、血糖血脂和炎症指标。采用ELASA法测定血清中TNF-α、IL-6水平。以标准Judkins法行冠状动脉造影术,计算机定量分析系统分析冠状动脉狭窄程度并计算CAS。结果 TNF-α、IL-6、WC、BMI、WHR、Whi R、TC、HDL-C、CAS与Ty G index呈明显相关,相关指数分别为0.543、0.385、0.167、0.178、0.157、0.184、0.201、-0.180、0.273。结论 TNF-α、IL-6、CAS与Ty G index密切相关,因此Ty G index作为CHD发生发展的良好预测指标,可用于临床指导CHD危险人群的早期干预。展开更多
Non-alcoholic fatty liver disease (NAFLD) is a common liver disease worldwide. There is no specific biomarker for the diagnosis of NAFLD. Trigly-ceride and glucose index (TyG) may predict the subsequent occurrence of ...Non-alcoholic fatty liver disease (NAFLD) is a common liver disease worldwide. There is no specific biomarker for the diagnosis of NAFLD. Trigly-ceride and glucose index (TyG) may predict the subsequent occurrence of NAFLD in later life. This cross sectional study was aimed to evaluate the effectiveness of triglyceride and glucose index (TyG) as a possible biomarker of NAFLD. The study was conducted at the Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from March 2019 to February 2020. A total of 124 subjects were taken as study population following selection criteria. Among them 62 were diagnosed patients of NAFLD and 62 were healthy subjects as control group. Fasting plasma glucose was measured by glucose oxidase method and serum triglyceride was measured by enzymatic-colorimetric method, while TyG index was calculated accordingly. The mean age was 39.5 ± 11.27 years in NAFLD patients and 37.10 ± 12.28 years in control subjects with male female ratio 1:1.7 and 1:1.8 respectively. Major portion of NAFLD patients (62.9%) were overweight (BMI ≥ 25). The mean fasting plasma glucose level was 5.73 ± 1.47 mmol/L in NAFLD patients and 5.27 ± 0.69 mmol/L in control group (p < 0.027). The mean serum triglyceride level was 237.19 ± 96.47 mg/dl in NAFLD patients and 117.32 ± 53.07 mg/dl in control group (p < 0.001). The triglyceride and glucose index (TyG) was 9.36 ± 0.47 in NAFLD group and 8.53 ± 0.42 in control group. TyG index was significantly higher in NAFLD patients in comparison to control group (p < 0.001). In ROC analysis, cut off value of TyG index was 8.85 with sensitivity 93.5% and specificity 79%. As a fast and effective method, TyG index can be used as a diagnostic tool to predict NAFLD.展开更多
BACKGROUND The birth of large-for-gestational-age(LGA)infants is associated with many shortterm adverse pregnancy outcomes.It has been observed that the proportion of LGA infants born to pregnant women with gestationa...BACKGROUND The birth of large-for-gestational-age(LGA)infants is associated with many shortterm adverse pregnancy outcomes.It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus(GDM)is significantly higher than that born to healthy pregnant women.However,traditional methods for the diagnosis of LGA have limitations.Therefore,this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants.AIM To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM,and provide strategies for the effective prevention and timely intervention of LGA.METHODS The multivariable prediction model was developed by carrying out the following steps.First,the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses,for which the P value was<0.10.Subsequently,Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations,and the optimal combination factors were se-lected by choosing lambda 1se as the criterion.The final predictors were deter-mined by multiple backward stepwise logistic regression analysis,in which only the independent variables were associated with LGA risk,with a P value<0.05.Finally,a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve,calibration curve and decision curve analyses.RESULTS After using a multistep screening method,we establish a predictive model.Several risk factors for delivering an LGA infant were identified(P<0.01),including weight gain during pregnancy,parity,triglyceride-glucose index,free tetraiodothyronine level,abdominal circumference,alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks.The nomogram’s prediction ability was supported by the area under the curve(0.703,0.709,and 0.699 for the training cohort,validation cohort,and test cohort,respectively).The calibration curves of the three cohorts displayed good agreement.The decision curve showed that the use of the 10%-60%threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit.CONCLUSION Our nomogram incorporated easily accessible risk factors,facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.展开更多
基金Supported by Suzhou Municipal Science and Technology Program of China,No.SKJY2021012.
文摘BACKGROUND Colorectal polyps(CPs)are frequently occurring abnormal growths in the colorectum,and are a primary precursor of colorectal cancer(CRC).The triglyceride-glucose(TyG)index is a novel marker that assesses metabolic health and insulin resistance,and has been linked to gastrointestinal cancers.AIM To investigate the potential association between the TyG index and CPs,as the relation between them has not been documented.METHODS A total of 2537 persons undergoing a routine health physical examination and colonoscopy at The First People's Hospital of Kunshan,Jiangsu Province,China,between January 2020 and December 2022 were included in this retrospective cross-sectional study.After excluding individuals who did not meet the eligibility criteria,descriptive statistics were used to compare characteristics between patients with and without CPs.Logistic regression analyses were conducted to determine the associations between the TyG index and the prevalence of CPs.The TyG index was calculated using the following formula:Ln[triglyceride(mg/dL)×glucose(mg/dL)/2].The presence and types of CPs was determined based on data from colonoscopy reports and pathology reports.RESULTS A nonlinear relation between the TyG index and the prevalence of CPs was identified,and exhibited a curvilinear pattern with a cut-off point of 2.31.A significant association was observed before the turning point,with an odds ratio(95% confidence interval)of 1.70(1.40,2.06),P<0.0001.However,the association between the TyG index and CPs was not significant after the cut-off point,with an odds ratio(95% confidence interval)of 0.57(0.27,1.23),P=0.1521.CONCLUSION Our study revealed a curvilinear association between the TyG index and CPs in Chinese individuals,suggesting its potential utility in developing colonoscopy screening strategies for preventing CRC.
文摘Objective: The objective of this study was to investigate the relationship between the triglyceride-glucose (TyG) index, triglyceride-glucose-BMI (TyG-BMI) index, laboratory indices, and disease severity in patients with COVID-19. Methods: A retrospective analysis of COVID-19 patients treated at a tertiary hospital in Mianyang City, Sichuan Province, China, from 1 May to 31 May 2023 was performed. The patients were divided into two groups: 66 cases in the moderate group and 61 cases in the severe group. Additionally, 69 uninfected individuals from the medical examination center during the same period were selected as the control group. Spearman rank correlation was used to determine the correlation between the indices and COVID-19 severity. Multiple logistic regression analysis was performed to identify the factors affecting COVID-19 severity. ROC curves were constructed to assess the predictive value of the TyG and TyG-BMI indices for severe COVID-19. Results: There were significant differences in smoking and diabetes between the three groups (P Conclusion: Smoking, AST, ALB, TyG index, and TyG-BMI index are valuable in assessing the severity of COVID-19, with the TyG-BMI index having a higher predictive value than the TyG index.
文摘目的探讨妊娠期糖尿病(gestational diabetes mellitus,GDM)患者妊娠早期甘油三酯葡萄糖指数(the triglyceride-gluscose index,TyG指数)与分娩小于胎龄儿(small for gestational age infant,SGA)之间的关系。方法选取2018年1月至2023年6月复旦大学附属上海市第五人民医院和新疆喀什地区第二人民医院产科孕早期建档并符合纳入标准的孕妇1532例为研究对象,根据孕妇24~28周行口服葡萄糖耐量试验(oral glucose tolerance test,OGTT)结果,将其分为GDM组(754例)及非GDM组(778例)。GDM组患者根据新生儿体重,将其分为SGA组、大于胎龄儿(large for gestational age infant,LGA)组和适于胎龄儿(appropriate for gestational age infant,AGA)组。分析GDM患者分娩SGA的独立影响因素,采用Logistic回归模型分析TyG指数与发生SGA的相关性。绘制ROC曲线以分析妊娠早期TyG指数对GDM患者分娩SGA的预测价值。结果GDM患者SGA组TyG指数显著低于LGA组、AGA组及非GDM组(P<0.05);多因素Logistic回归分析结果显示,TyG指数与GDM患者分娩SGA的发生独立相关(P<0.05);ROC曲线结果显示,妊娠早期TyG指数对GDM患者分娩SGA具有较好的预测价值(AUC=0.821,95%CI:0.763~0.879,P<0.001)。结论GDM患者妊娠早期TyG指数与分娩SGA之间存在独立相关,对于GDM患者分娩SGA具有较好的预测价值。
文摘目的探讨冠心病(CHD)患者甘油三酯葡萄糖乘积指数(Ty G index)与肿瘤坏死因子-α(TNF-α)、白介素-6(IL-6)的关系。方法选取2007年9月—2011年8月该院收治的171例行冠状动脉造影者,采集所有患者的血压、冠脉病变积分(CAS)、血糖血脂和炎症指标。采用ELASA法测定血清中TNF-α、IL-6水平。以标准Judkins法行冠状动脉造影术,计算机定量分析系统分析冠状动脉狭窄程度并计算CAS。结果 TNF-α、IL-6、WC、BMI、WHR、Whi R、TC、HDL-C、CAS与Ty G index呈明显相关,相关指数分别为0.543、0.385、0.167、0.178、0.157、0.184、0.201、-0.180、0.273。结论 TNF-α、IL-6、CAS与Ty G index密切相关,因此Ty G index作为CHD发生发展的良好预测指标,可用于临床指导CHD危险人群的早期干预。
文摘Non-alcoholic fatty liver disease (NAFLD) is a common liver disease worldwide. There is no specific biomarker for the diagnosis of NAFLD. Trigly-ceride and glucose index (TyG) may predict the subsequent occurrence of NAFLD in later life. This cross sectional study was aimed to evaluate the effectiveness of triglyceride and glucose index (TyG) as a possible biomarker of NAFLD. The study was conducted at the Department of Laboratory Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh from March 2019 to February 2020. A total of 124 subjects were taken as study population following selection criteria. Among them 62 were diagnosed patients of NAFLD and 62 were healthy subjects as control group. Fasting plasma glucose was measured by glucose oxidase method and serum triglyceride was measured by enzymatic-colorimetric method, while TyG index was calculated accordingly. The mean age was 39.5 ± 11.27 years in NAFLD patients and 37.10 ± 12.28 years in control subjects with male female ratio 1:1.7 and 1:1.8 respectively. Major portion of NAFLD patients (62.9%) were overweight (BMI ≥ 25). The mean fasting plasma glucose level was 5.73 ± 1.47 mmol/L in NAFLD patients and 5.27 ± 0.69 mmol/L in control group (p < 0.027). The mean serum triglyceride level was 237.19 ± 96.47 mg/dl in NAFLD patients and 117.32 ± 53.07 mg/dl in control group (p < 0.001). The triglyceride and glucose index (TyG) was 9.36 ± 0.47 in NAFLD group and 8.53 ± 0.42 in control group. TyG index was significantly higher in NAFLD patients in comparison to control group (p < 0.001). In ROC analysis, cut off value of TyG index was 8.85 with sensitivity 93.5% and specificity 79%. As a fast and effective method, TyG index can be used as a diagnostic tool to predict NAFLD.
基金Supported by National Natural Science Foundation of China,No.81870546Nanjing Medical Science and Technique Development Foundation,No.YKK23151Science and Technology Development Foundation Item of Nanjing Medical University,No.NMUB20210117.
文摘BACKGROUND The birth of large-for-gestational-age(LGA)infants is associated with many shortterm adverse pregnancy outcomes.It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus(GDM)is significantly higher than that born to healthy pregnant women.However,traditional methods for the diagnosis of LGA have limitations.Therefore,this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants.AIM To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM,and provide strategies for the effective prevention and timely intervention of LGA.METHODS The multivariable prediction model was developed by carrying out the following steps.First,the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses,for which the P value was<0.10.Subsequently,Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations,and the optimal combination factors were se-lected by choosing lambda 1se as the criterion.The final predictors were deter-mined by multiple backward stepwise logistic regression analysis,in which only the independent variables were associated with LGA risk,with a P value<0.05.Finally,a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve,calibration curve and decision curve analyses.RESULTS After using a multistep screening method,we establish a predictive model.Several risk factors for delivering an LGA infant were identified(P<0.01),including weight gain during pregnancy,parity,triglyceride-glucose index,free tetraiodothyronine level,abdominal circumference,alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks.The nomogram’s prediction ability was supported by the area under the curve(0.703,0.709,and 0.699 for the training cohort,validation cohort,and test cohort,respectively).The calibration curves of the three cohorts displayed good agreement.The decision curve showed that the use of the 10%-60%threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit.CONCLUSION Our nomogram incorporated easily accessible risk factors,facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.
