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Objective:To explore the correlation between time in range (TIR) after short-term treatment and glycated hemoglobin after 3 months (HbA lc-3m) in patients with newly-diagnosed type 2 diabetes mellitus (T2DM). Methods:In this cross-sectional study, a total of 94 patients with newly-diagnosed T2DM who received treatment in the Department of Endocrinology of Inner Mongolia Autonomous Region People′s Hospital were enrolled from January 2018 to September 2022. The patients were followed-up for 3 months and had complete medical record. TIR was divided into three groups according to different target ranges of blood glucose (TIR1: TIR with blood glucose between 3.9 and 10.0 mmol/L, TIR2: TIR with blood glucose between 3.9 and 7.8 mmol/L, TIR3: TIR with fasting, premeal or bedtime blood glucose <6.1 mmol/L and 2 h postprandial blood glucose <8.0 mmol/L). The patients were divided into two groups based on whether their HbA 1c-3m level was less than 6.5%, and the baseline data and variations in TIR for distinct target glucose levels were compared between the two groups. Spearman′s correlation analysis and binary logistic regression analysis were used to analyze the relationship between baseline indicators, TIR after short-term treatment and HbA 1c-3m. Receiver operating characteristic curve (ROC) was drawn to evaluate the predictive ability of different TIR after short-term therapy for HbA 1c-3m. Results:There were statistically significant differences in TIR1 [81.0 (67.5, 94.6)% vs 71.4 (51.7, 85.7)%], TIR2 [57.7 (29.7, 70.8)% vs 40.9 (22.4, 52.3)%] and TIR3 [23.8 (10.2, 39.5)% vs 13.0 (4.8, 25.0)%] between patients with a HbA 1c-3m<6.5% and patients with a HbA 1c-3m≥6.5% (all P<0.05). Spearman correlation analysis showed that among all the patients with newly-diagnosed T2DM, TIR1, TIR2 and TIR3 were all negatively correlated with HbA 1c-3m [6.4 (6.1, 6.9)%] ( r=-0.322, -0.348, -0.303, respectively, all P<0.01). Logistic regression analysis showed that after adjusting for the confounding factors, TIR1 ( OR=1.021, 95% CI: 1.002-1.041; P=0.034), TIR2 ( OR=1.024, 95% CI: 1.006-1.043; P=0.011), TIR3 ( OR=1.037, 95% CI: 1.010-1.065; P=0.008) were all independently related to HbA 1c-3m. When HbA lc-3m<6.5% was taken as the target value, the area under the ROC curve: TIR1 was 0.639 (95% CI: 0.528-0.751), TIR2 was 0.671 (95% CI: 0.560-0.782), TIR3 was 0.659 (95% CI: 0.549-0.770), respectively. When HbA lc-3m<7.0% was taken as the target value, the area under the ROC curve: TIR1 was 0. 730 (95% CI: 0.619-0.841), TIR2 was 0.744 (95% CI: 0.642-0.846), TIR3 was 0.701 (95% CI: 0.588-0.814). There was no significant difference in the area among the three statistics ( P>0.05). Conclusions:For newly-diagnosed T2DM patients, TIR after short-term treatment is negatively correlated with HbA 1c after 3 months and has good predictive value for it.
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Objective:To investigate the association of time in range with metabolic associated fatty liver disease(MAFLD) and advanced liver fibrosis in patients with type 2 diabetes.Methods:This study was a retrospective study. A total of 494 type 2 diabetic patients were recruited in the Department of Endocrinololgy of Henan Provincial People′s Hospital from November 2019 to April 2022. Time in range(TIR) was calculated with continuous glucose monitoring data. Abdominal ultrasound scan was used to diagnose fatty liver. Liver stiffness measurement(LSM) by transient elastography was used to evaluate liver fibrosis. Pearson and multivariate linear regression analysis was used to evaluate the association between TIR and LSM. Multivariate logistic regression analysis was used to analyze the association of TIR with risk of MAFLD and advanced liver fibrosis.Results:Pearson correlation analysis showed that LSM was negatively correlated with TIR( r=-0.86, P<0.001) and was positively correlated with homeostasis model assessment for insulin resistance(HOMA-IR; r=0.48, P<0.001). After adjusting for confounding factors, multivariate linear regression analysis showed that TIR significantly negatively predicted LSM( β=-0.75, P<0.001), and HOMA-IR significantly positively predicted LSM( β=0.21, P=0.025). After adjusting for confounding factors, logistic regression analysis showed that compared with TIR Q4 patients, TIR Q1 patients had an increased risk of MAFLD( OR=1.96, 95% CI 1.07-3.62, P=0.027), advanced liver fibrosis( OR=3.82, 95% CI 1.17-12.50, P=0.027), and HOMA-IR was an independent risk factor for MAFLD( OR=1.22, 95% CI 1.04-1.43, P=0.005) and advanced liver fibrosis( OR=1.26, 95% CI 1.03-1.54, P=0.025). Conclusions:TIR and insulin resistance are independent risk factors for MAFLD and advanced liver fibrosis in patients with type 2 diabetes. TIR has a significant predictive value for MAFLD and advanced liver fibrosis.
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ABSTRACT Objectives: To evaluate the alternate use of flash glucose monitoring (FGM) with self-monitoring blood glucose (SMBG), in patients with type 1 diabetes (T1D). Materials and methods: Two weeks of open FGM (P2), both preceded (P1) and followed by 2 weeks (P3) of SMBG with a blinded FGM system. Mean absolute relative difference (MARD) was calculated by (-FGMi − SMBGi-) / SMBGi, where it was a paired data sample. Results: In total, 34 patients were evaluated. Time in range (TIR) did not change between P1 and P2. In 12 patients (35.3%), TIR increased from 40% at P1 to 52% at P2 (p = 0.002) and in 22 (64.7%), TIR decreased or did not change. FGM use resulted in decreased % time spent in hypoglycemia (<70 mg/dL) (6.5% vs. 5.0%; p = 0.005), increased % time spent in hyperglycemia (>180 mg/dL) (44.5% to 51%; p = 0.046) with no significant change in % TIR. The proportion of patients who reached sensor-estimated glycated hemoglobin (eA1c) < 7% decreased from 23.5% at P1 to 12.9% at P2, p = 0.028. For the whole sample, the MARD between the two methods was 15.5% (95% CI 14.5-16.6%). For normal glucose range, hyperglycemic levels and hypoglycemic levels MARD were 16.0% (95% CI 15.0-17.0%), 13.3% (95% CI 11.5-15.2%) and 23.4% [95% CI 20.5-26.3%)], respectively. Conclusion: FGM after usual SMBG decreased the % time spent in hypoglycemia concomitant with an undesired increase in % time spent in hyperglycemia. Lower accuracy of FGM regarding hypoglycemia levels could result in overcorrection of hypoglycemia.
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Objective:To evaluate the efficacy of Qinggan Bupi Jiangtang Decoction combined with western medicine in the treatment of adult type 2 diabetes mellitus (T2DM) with with liver hyperactivity and spleen deficiency syndrome.Methods:Prospective cohort study. A total of 103 T2DM patients with liver hyperactivity and spleen deficiency syndrome in the Department of endocrinology of Shanghai Municipal Hospital of Traditional Chinese Medicine from February 2020 to February 2021 were randomly divided into the observation group (52 cases) and the control group (51 cases) according to random number table method. Both groups were treated with conventional western medicine, the control group was treated with sitagliptin phosphate on the basis of routine treatment, and the observation group was treated with Qinggan Bupi Jiangtang Decoction on the basis of routine treatment. Both groups were treated for 12 weeks. TCM symptom scores were performed before and after treatment. The FPG, 2hPBG, HbA1c and fasting insulin (FINS) were detected by dry chemistry method and Roche electroluminescence method, and insulin resistance index (HOMA-IR) was calculated. The clinical efficacy was evaluated by dynamic blood glucose monitoring indexes TIR (percentage of time when glucose was in the range of 3.9-10.0 mmol/L), TAR (percentage of time when glucose was higher than the target range ≥ 11.1 mmol/L) and TBR (percentage of time when glucose was lower than the target range <3.9 mmol/L).Results:The total effective rate was 92.3% (48/52) in the observation group and 56.9% (29/51) in the control group ( χ2=15.32, P<0.01). The score of TCM syndrome in the observation group was significantly lower than that of the control group ( t=6.30, P<0.01). The compliance rate of HbA1c in the observation group was 46.2% (24/52) and that of the control group was 23.5% (12/51). There was significant difference between the two groups ( χ2=5.80, P=0.016). Compared with the groups before treatment, MAGE, TAR, TBR significantly decreased and TIR significantly increased in both groups after treatment ( P<0.01), but there was no significant difference between the two groups after treatment ( t values were 0.78, 1.06, 0.22 and 1.45, respectively, P>0.05). Compared with the groups before treatment, the levels of FPG, 2 hPBG and HbA1c in the two groups significantly decreased after treatment ( P<0.01), but there was no significant difference between the two groups after treatment ( t values were 1.32, 0.18,1.50, respectively, P>0.05). Compared with the groups before treatment, the levels of FINS and HOMA-IR in the two groups significantly decreased after treatment ( P<0.01), but there was no significant difference between the two groups after treatment ( t values were 1.25, 0.51, respectively, P>0.05). There were no adverse reactions in the observation group, 2 cases of mild nausea and 1 case of transient diarrhea in the control group. There was no significant difference between the two groups ( χ2=3.15, P=0.118). Conclusion:Qinggan Bupi Jiangtang Decoction combined with routine treatment can improve the blood glucose level, TIR and blood glucose standard rates of adult T2DM with liver hyperactivity and spleen deficiency syndrome, and the curative effect is equivalent to sitagliptin phosphate tablets.
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Objective:To study the correlation between the time within the target range of blood glucose and the reduction of muscle mass in middle-aged and elderly patients with type 2 diabetes (T2DM).Methods:A total of 245 middle-aged and elderly T2DM patients admitted to the Second People′s Hospital of Hefei from December 2020 to December 2021 were selected. All enrolled patients wore MeiQi blood glucose monitor to obtain time in range (TIR), time above range (TAR), time below range (TBR), mean amplitude of glycemic excursions (MAGE), coefficient of variation (CV), blood glucose standard deviation (SD), largest amplitude of glycemic excursions (LAGE), which was for assessing blood sugar fluctuation. The incidence of muscle mass reduction and sarcopenia was statistically analyzed, and the differences invarious observation indicators between the muscle mass reduction group and the non muscle mass reduction group were compared. Spearman correlation analysis was used to investigate the correlation between clinical indicators and limb skeletal muscle mass index (ASMI), and logistic regression was used to analyze the influencing factors of muscle mass reduction in middle-aged and elderly T2DM patients.Results:The prevalence of muscle mass loss in 245 T2DM patients was 25.71%(63/245), and the prevalence of sarcopenia was 13.06%(32/245). There were statistically significant differences in age, gender, body mass index (BMI), blood phosphorus, homeostatic model assessment of insulin resistance (HOMA-IR), urine albumin creatine ratio (ACR), 25 hydroxyvitamin D, diabetes nephropathy (DN) patient proportion, ASMI, grip strength, and 5 sit up test times between the muscle mass reduction group and the non muscle mass reduction group (all P<0.05). The TIR of the muscle mass reduction group was lower than that of the non muscle mass reduction group, while the TAR and mean blood glucose (MG) were higher than those of the non muscle mass reduction group, with statistically significant differences (all P<0.05). ASMI was negatively correlated with age, males, and HOMA-IR (all P<0.05), but positively correlated with BMI and 25 hydroxyvitamin D (all P<0.05). ASMI was positively correlated with SD and TIR (mean P<0.05), and negatively correlated with CV, LAGE, TAR, and MG (all P<0.05). The results of univariate regression analysis showed that age, male gender, DN, and TAR were risk factors for muscle mass reduction, while BMI, 25 hydroxyvitamin D, and TIR were protective factors for muscle mass reduction (all P<0.05). After adjusting for other related factors, TIR remained a protective factor for decreased muscle mass (all P<0.05). Conclusions:TIR is an independent protective factor for muscle mass loss in middle-aged and elderly T2DM patients, and the incidence of muscle mass loss can be reduced by increasing TIR levels in clinical practice.
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Objective @#To explore the association of time in range(TIR) and glucose management indicator ( GMI) with the risk of type 2 diabetic nephropathy (DN) ． @*Methods @#The clinical data of 215 patients with type 2 diabetes mellitus (T2DM) were collected and analyzed．According to the results of estimated glomerular filtration rate (eGFR) and urinary albumin to creatinine ratio( UACR) ，they were divided into 117 patients with T2DM and 98 patients with DN．The clinical data，biochemical indicators and continuous glucose monitoring ( CGM) indicators of the two groups were compared．Logistic regression was used to analyze the influencing factors of DN risk．The predictive value of TIR and GMI on the risk of DN was evaluated by receiver operating characteristic (ROC) curve. @*Results@#There were significant differences in age，duration of diabetes，systolic blood pressure，glycosylated hemoglobin ( HbA1c) ，fasting plasma glucose (FPG) ，2 hour postprandial plasma glucose (2hPG) ，creatinine( Cr) ，UACR, eGFR between the two groups(P＜0. 05) ．There were statistically significant differences between the two groups in the CGM indexes of GMI，mean absolute difference of mean of daily differences ( MODD) ，glucose above target range time(TAR) and TIR(P＜0. 05) ．The results of logistic regression analysis showed that TIR was a protective factor of DN．In the ROC curve analysis of TIR prediction DN，the area under the ROC curve was 0. 718 (95% CI = 0. 648 ～0. 789，P＜0. 001) ，and the Yoden index was 0. 38．At this time，the sensitivity was 66. 7% ，and the specificity was 71. 3%．In the ROC curve analysis of GMI prediction DN，the area under the ROC curve was 0. 701 (95% CI = 0. 629 ～0. 774，P＜0. 001) ，and the Yoden index was 0. 368．At this time，the sensitivity was 63. 3% ， and the specificity was 73. 5%．@*Conclusion @#Specifically，lower TIR and higher GMI increase the risk of DN.
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Objective:To investigate the relationship between time in range(TIR) of glucose and sarcopenia in elderly patients with type 2 diabetes mellitus.Methods:A total of 673 patients with type 2 diabetes aged 65 years and above who were admitted to Henan Provincial People′s Hospital from March 2018 to July 2020 were selected. All patients completed questionnaire, physical and laboratory examination. Sensor-based flash continuous glucose monitoring(CGM) systems was used to monitor glucose levels, and the TIR was computed. Dual energy X-ray was used to assess total muscle mass and appendicular skeletal muscle mass index(ASMI) was calculated, the muscle strength was assessed with testing handgrip strength, and physical function was assessed by testing gait speed. Sarcopenia was diagnosed and graded according to the 2019 Asian Working Group on Sarcopenia(AWGSOP) standard. Patients with less than 3 days of CGM were excluded and a total of 658 subjects were included in the analysis.Results:The total prevalence of sarcopenia was 28.72%. Compared with non-sarcopenia group, TIR levels in the sarcopenia and severe sarcopenia groups were significantly decreased [55.0%(36.5%, 68.0%), 49.0%(31.0%, 70.5%) vs 66.0%(44.8%, 79.0%), both P<0.01]. The level of ASMI increased in line with TIR quartiles and topped in the fourth quartile group( P<0.05). Pearson correlation analysis showed that TIR was significantly positively correlated with ASMI, gait speed, and handgrip strength in male patients( P<0.05 or P<0.001), and TIR was significantly positively associated with ASMI and gait speed in female patients( P<0.05 or P<0.01). After logistic regression adjusted for gender, age, body mass index, blood pressure, disease duration, HbA 1C, fasting blood glucose, total cholesterol, triglyceride, low density lipoprotein-choresterol, high density lipoprotein-choresterol, estimated glomerular filtration rate, protein intake, exercise intensity, smoking and alcohol consumption, an increase in TIR levels was associated with a decrease in the prevalence of severe sarcopenia( OR=0.923, 95% CI 0.878-0.970, P=0.002). The lowest quartile TIR significantly increased the risk of sarcopenia compared with the highest quartile TIR( OR=3.733, 95% CI 1.129-12.342, P=0.031). Conclusion:Decline in TIR is significantly associated with an increased risk of sarcopenia in older patients with type 2 diabetes.
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Objective:To observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR).Methods:A retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR.Results:The TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant ( t=3.501,-2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval ( CI) 0.597-0.812, P=0.001; 95% CI 0.558-0.778, P=0.006; 95% CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk ( P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37-0.04×TIR (%). Conclusions:TIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.
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Objective:To investigate the association of time in range(TIR) with the severity of coronary artery disease and acute coronary syndrome in patients with type 2 diabetes mellitus.Methods:A total of 216 patients with type 2 diabetes mellitus and coronary heart disease were recruited and undergone anthropometric and biochemical measurements, continuous glucose monitoring, and calculation of SYNTAX score. TIR was defined as the percentage of time within the glucose range of 3.9-10.0 mmol/L during 24 h. Spearman correlation analysis and multivariate linear regression analysis were used to evaluate the correlation factors of SYNTAX score. Multivariate logistic regression analysis was used to analyze the association of TIR with the severity of coronary artery disease and acute coronary syndrome. Results:Compared with patients with mild coronary artery disease, TIR in patients with moderate to severe coronary artery disease was lower[(69.4±17.3)% vs (60.8±17.8)%, t=3.0, P=0.003], and HbA 1C of patients with moderate to severe coronary artery disease was higher [(9.6±1.7)% vs (8.8±1.6)%, t=3.3, P=0.001]. SYNTAX score was negatively correlated with TIR ( r=-0.251, P<0.01) and positively correlated with HbA 1C ( r=0.249, P<0.01). Moreover, compared with HbA 1C (standardized coefficients=0.181, P=0.007), TIR (standardized coefficients=-0.192, P=0.004) had a greater influence on SYNTAX score. Multivariate linear regression analysis showed that TIR, HbA 1C, duration of diabetes and smoking were independently correlated with SYNTAX score. Multivariate logistic regression analysis revealed that compared with TIR Q1, Q3 and Q4 were independent protective factors for moderate to severe coronary artery disease (respectively, OR=0.61 and 0.59, 95% CI 0.39-0.96 and 0.38-0.94, P=0.014 and 0.009) and acute coronary syndrome (respectively, OR=0.51 and 0.39, 95% CI 0.32-0.95 and 0.26-0.75, P=0.022 and 0.008). Conclusion:TIR was significantly and independently correlated with the severity of coronary artery disease and acute coronary syndrome in type 2 diabetes mellitus after controlling confounding factors. When TIR level was decreased, the severity of coronary artery disease was aggravated, and SYNTAX score and the risk of acute coronary syndrome was increased.
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@#This case report of a 30-year-old type 2 diabetic patient illustrates the advantages of using real-time continuous glucose monitoring (rt-CGM) in a primary care setting. The patient was successfully weaned off subcutaneous insulin injections over a period of two months and achieved even better time-in-range outcomes. The patient is empowered with more insight into his metabolic condition and is currently trying new techniques such as intermittent fasting to further improve his diabetes.