Exploring the Initial Encounter with Continuous Glucose Monitoring among Individuals with Type 2 Diabetes: A Two-Week Trip.

Purpose: This study aimed to explore the inaugural experience of using a continuous glucose monitoring (CGM) system in patients with type 2 diabetes. Patients and Methods: This study employed a qualitative design. Thirty-one patients with type 2 diabetes were recruited from a national university hospital and underwent CGM for two weeks. Individual interviews with 28 participants were conducted between August 1 and October 17, 2022, after the CGM. Thematic analysis was used to examine the data. Results: The results revealed transformative shifts in aspects of participants' lives due to CGM use, including alterations in dietary management and interpersonal relationships. During the two-week journey with CGM, participants were able to visually observe exercise effects and other benefits, leading to the discovery of a new utility for this innovative medical device. However, unavoidable drawbacks such as high cost, inaccurate results, and skin irritation have been identified, prompting suggestions for improvement. Conclusion: This study determined that CGM is both feasible and valuable for facilitating lifestyle adjustments to manage diabetes. Nevertheless, the challenge of discomfort associated with CGM use should be addressed in the future. To ensure effective utilization and overcome potential obstacles, it is recommended that a comprehensive and user-friendly CGM education manual be created, with the scope of CGM insurance coverage extended to include this research in the future.

Analytical performance of publicly dispensed glucometers in primary health care in a southern Brazilian city.

Aims: This study aimed to assess the use of glucometers by patients and the analytical performance of glucometers provided by the primary care services. Methods: The analytical performance of 48 glucometers Accu-Chek® Active, was assessed through quintuplicate analyses of one Roche and one PNCQ (National Quality Control Program) control sample at different concentrations; 31 were also evaluated by a single proficiency testing sample. The evaluation metrics included imprecision, bias, and total error and were measured according to quality specifications based on biological variation (QSBV). Glucometer users answered a questionnaire regarding their experience. Results: Among the 48 glucometers evaluated with internal control samples, 17 met precision criteria at both control levels according to QSBV, while 24 met the criteria at only one control level. Of the 31 glucometers further evaluated through proficiency test, 11 met accuracy criteria according to QSBV, and only one device showed an unacceptable result. Out of these 31, only 15 demonstrated a total error within the acceptable maximum limits based on QSBV. Conclusions: Overall, our findings showed that patients had a good understanding of glucometer usage and suggested that some glucometers should be replaced, as they sometimes failed to meet even the manufacturer's acceptable variation limits, and/or did not meet QSBV.

Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.

BACKGROUND: Amidst the escalating prevalence of glucose-related chronic diseases, the advancements, potential uses, and growing accessibility of continuous glucose monitors (CGM) have piqued the interest of healthcare providers, consumers, and health behaviour researchers. Yet, there is a paucity of literature characterising the use of CGM in behavioural intervention research. This scoping review aims to describe targeted populations, health behaviours, health-related outcomes, and CGM protocols in randomised controlled trials (RCTs) that employed CGM to support health behaviour change. METHODS: We searched Ovid MEDLINE, Elsevier Embase, Cochrane Central Register of Controlled Trials, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global from inception to January 2024 for RCTs of behavioural interventions conducted in adults that incorporated CGM-based biological feedback. Citation searching was also performed. The review protocol was registered ( https://doi.org/10.17605/OSF.IO/SJREA ). FINDINGS: Collectively, 5389 citations were obtained from databases and citation searching, 3995 articles were screened, and 31 were deemed eligible and included in the review. Most studies (n = 20/31, 65%) included adults with type 2 diabetes and reported HbA1c as an outcome (n = 29/31, 94%). CGM was most commonly used in interventions to target changes in diet (n = 27/31, 87%) and/or physical activity (n = 16/31, 52%). 42% (n = 13/31) of studies provided prospective CGM-based guidance on diet or activity, while 61% (n = 19/31) included retrospective CGM-based guidance. CGM data was typically unblinded (n = 24/31, 77%) and CGM-based biological feedback was most often provided through the CGM and two-way communication (n = 12/31, 39%). Communication typically occurred in-person (n = 13/31, 42%) once per CGM wear (n = 13/31; 42%). CONCLUSIONS: This scoping review reveals a predominant focus on diabetes in CGM-based interventions, pointing out a research gap in its wider application for behaviour change. Future research should expand the evidence base to support the use of CGM as a behaviour change tool and establish best practices for its implementation. TRIAL REGISTRATION: doi.org/10.17605/OSF.IO/SJREA.

Comparison of laser and traditional lancing devices for capillary blood sampling in patients with diabetes mellitus and high bleeding risk.

PURPOSE: Despite the importance of self-monitoring blood glucose (SMBG) for management of diabetes mellitus (DM), frequent blood sampling is discouraged by bleeding risk due to dual-antiplatelet agent therapy (DAPT) or thrombocytopenia. METHODS: We compared the bleeding time (BT) of sampling by using a laser-lancing-device (LMT-1000) and a conventional lancet in patients with DM and thrombocytopenia or patients undergoing DAPT. BT was measured using the Duke method, and pain and satisfaction scores were assessed using numeric rating scale (NRS) and visual analog scale (VAS). The consistency in the values of glucose and glycated-hemoglobin (HbA1c) sampled using the LMT-1000 or lancet were compared. RESULTS: The BT of sampling with the LMT-1000 was shorter than that with the lancet in patients with thrombocytopenia (60s vs. 85s, P = 0.024). The NRS was lower and the VAS was higher in laser-applied-sampling than lancet-applied sampling in the DAPT-user group (NRS: 1 vs. 2, P = 0.010; VAS: 7 vs. 6, P = 0.003), whereas the group with thrombocytopenia only showed improvement in the VAS score (8 vs. 7, P = 0.049). Glucose and HbA1c sampled by the LMT-1000 and lancet were significantly correlated in both the DAPT-user and the thrombocytopenia groups. CONCLUSION: The LMT-1000 can promote SMBG by shortening BT in subject with thrombocytopenia and by increasing satisfaction score, as well as by showing reliable glucose and HbA1c value.

Cost-Effectiveness of a Home Telemonitoring System for Asian Adults with Type 2 Diabetes Mellitus.

Background: Telemonitoring programs have been found to be effective in improving diabetic control by promoting patients' self-management of diabetes through medication adherence, dietary modifications, and exercise. Nonetheless, few studies have assessed the cost-effectiveness of telemonitoring for the self-management of diabetes based on real-world data. Methods: A randomized controlled trial entitled Optimizing care of Patients via Telehealth In Monitoring and Augmenting their control of Diabetes Mellitus was conducted among adults with Type 2 Diabetes Mellitus in Singapore. Individuals in the intervention group (n = 159) underwent a telemonitoring program comprising of remote patient monitoring, education, individualized health coaching, and teleconsultations, whereas individuals in the control group (n = 160) received regular care. Economic evaluation was conducted from health care system and societal perspectives in 2020 in Singapore dollars, using health outcomes and costs documented at baseline and at 6 month follow-up. One-way sensitivity analyses and bootstrapping to generate scatter plot on cost-effectiveness planes were done. Results: The adjusted reduction in HbA1c scores was greater in the intervention group by -0.41 (95% confidence interval [CI], -0.65 to -0.17), while the change in utility scores was higher in the intervention group by 0.011 (95% CI, -0.016 to 0.0378). From a health care perspective, the incremental cost-effectiveness ratio (ICER) of the telemonitoring program per unit improvement in HbA1c, per additional case of well-controlled diabetes, and per unit improvement in quality adjusted life years was SGD 580.44, SGD 9100.15, and SGD 21,476.36, respectively. From a societal perspective, the ICERs were SGD 817.20, SGD 12,812.02, and SGD 30,236.36, respectively. Conclusions: The Optimizing care of Patients via Telehealth In Monitoring and Augmenting their control of Diabetes Mellitus telemonitoring program was effective and potentially cost-effective for the management and control of diabetes among patients in primary care.

Budget impact analysis of continuous glucose monitoring in individuals with type 2 diabetes on insulin treatment in England.

INTRODUCTION: In 2022, updated guidance from NICE expanded the options for self-monitoring of blood glucose for patients with type 2 diabetes (T2DM), to include continuous glucose monitoring (CGM). In this budget impact analysis, the cost impact of CGM was compared with traditional self-monitoring of blood glucose (SMBG) in adults with T2DM over 1 year from the commissioner perspective in England. RESEARCH DESIGN AND METHODS: The NICE-eligible T2DM cohort was split into 4 subgroups to enable nuanced costing by insulin administration frequency: basal human insulin, premixed insulin, basal-bolus insulin and bolus insulin. The model's cost components comprised mild and severe hypoglycaemia (SH), diabetic ketoacidosis (DKA), consumables and healthcare resource utilisation in primary and secondary care. RESULTS: The introduction of CGM is estimated to be cost additive by approximately £4.6 million in the basecase, driven by increased spending on the CGM device. Overall, healthcare activity was reduced by approximately 20,000 attendances, due to fewer SH and DKA episodes in the CGM arm. General Practitioner (GP) practice-based activity is expected to drop after the first year as patients requiring CGM training is reduced. The budget impact could be neutralised if the CGM sensor was discounted by 13.2% (£29.76 to £25.83). CONCLUSIONS: CGM may result in increased spending in the NICE-eligible T2DM cohort but is expected to reduce demand on secondary care services and GP time. These findings may be of interest to local decision-makers who wish to resolve the COVID-19 backlog with transformational investment in primary care to reduce secondary care activity.

Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study.

BACKGROUND: Self-monitoring of glucose is important to the successful management of diabetes; however, existing monitoring methods require a degree of invasive measurement which can be unpleasant for users. This study investigates the accuracy of a noninvasive glucose monitoring system that analyses spectral variations in microwave signals. METHODS: An open-label, pilot design study was conducted with four cohorts (N = 5/cohort). In each session, a dial-resonating sensor (DRS) attached to the wrist automatically collected data every 60 seconds, with a novel artificial intelligence (AI) model converting signal resonance output to a glucose prediction. Plasma glucose was measured in venous blood samples every 5 minutes for Cohorts 1 to 3 and every 10 minutes for Cohort 4. Accuracy was evaluated by calculating the mean absolute relative difference (MARD) between the DRS and plasma glucose values. RESULTS: Accurate plasma glucose predictions were obtained across all four cohorts using a random sampling procedure applied to the full four-cohort data set, with an average MARD of 10.3%. A statistical analysis demonstrates the quality of these predictions, with a surveillance error grid (SEG) plot indicating no data pairs falling into the high-risk zones. CONCLUSIONS: These findings show that MARD values approaching accuracies comparable to current commercial alternatives can be obtained from a multiparticipant pilot study with the application of AI. Microwave biosensors and AI models show promise for improving the accuracy and convenience of glucose monitoring systems for people with diabetes.

Correlation between centre size, metabolic variation and mean HbA1c in major paediatric diabetes centres.

AIM: To exploit a relatively homogeneous national health care context and a national diabetes database to address the questions: Is there an optimal clinic/centre size in determining outcomes?; and Can improvement in median centre outcomes be driven by reducing variability in outcome? METHODS: Using the Australasian Diabetes Database Network, data from seven tertiary hospital paediatric diabetes clinics for patients with type one diabetes from Australia were recorded from 6-month uploads: September 2017, March 2018, September 2018 and March 2019. Data from 25 244 patient visits included demographic variables, HbA1C, number of patient visits and insulin regimens. RESULTS: There was no association between centre size and median HbA1C. On the other hand, there was a significant association between or median absolute deviation of HbA1C outcomes and the median HbA1C result between centres. On average every two thirds of a median absolute deviation increase in clinic HbA1C was associated with a 1.0% (10.9 mmol/mol) increase in median clinic HbA1C. CONCLUSIONS: Our data have shown that it is likely difficult for centres to have a low median HbA1C if there is high variance of HbA1C's within centres or within centre treatment groups. This appears to be true regardless of centre size. These findings need to be carefully considered by teams who wish to lower their clinic median HbA1C.

A low-glucose eating pattern is associated with improvements in glycemic variability among women at risk for postmenopausal breast cancer: an exploratory analysis.

Background: High glycemic variability (GV) is a biomarker of cancer risk, even in the absence of diabetes. The emerging concept of chrononutrition suggests that modifying meal timing can favorably impact metabolic risk factors linked to diet-related chronic disease, including breast cancer. Here, we examined the potential of eating when glucose levels are near personalized fasting thresholds (low-glucose eating, LGE), a novel form of timed-eating, to reduce GV in women without diabetes, who are at risk for postmenopausal breast cancer. Methods: In this exploratory analysis of our 16-week weight loss randomized controlled trial, we included 17 non-Hispanic, white, postmenopausal women (average age = 60.7 ± 5.8 years, BMI = 34.5 ± 6.1 kg/m2, HbA1c = 5.7 ± 0.3%). Participants were those who, as part of the parent study, provided 3-7 days of blinded, continuous glucose monitoring data and image-assisted, timestamped food records at weeks 0 and 16. Pearson's correlation and multivariate regression were used to assess associations between LGE and GV, controlling for concurrent weight changes. Results: Increases in LGE were associated with multiple unfavorable measures of GV including reductions in CGM glucose mean, CONGA, LI, J-Index, HBGI, ADDR, and time spent in a severe GV pattern (r = -0.81 to -0.49; ps < 0.044) and with increases in favorable measures of GV including M-value and LBGI (r = 0.59, 0.62; ps < 0.013). These associations remained significant after adjusting for weight changes. Conclusion: Low-glucose eating is associated with improvements in glycemic variability, independent of concurrent weight reductions, suggesting it may be beneficial for GV-related disease prevention. Further research in a larger, more diverse sample with poor metabolic health is warranted.Clinical trial registration: ClinicalTrials.gov, NCT03546972.

Tailored Meal-Type Food Provision for Diabetes Patients Can Improve Routine Blood Glucose Management in Patients with Type 2 Diabetes: A Crossover Study.

This study aimed to determine whether patients with type 2 diabetes can benefit from a meal plan designed based on diabetes management guidelines to improve blood glucose levels. Participants were divided into intervention and control groups. The intervention group consumed a diabetic diet for 2 weeks, while the control group consumed their normal diet. After 2 weeks, the groups switched their dietary regimens. The participants' demographic and clinical characteristics were evaluated, including factors such as blood pressure, blood lipid levels, weight and waist circumference, blood glucose levels (self-monitored and continuously monitored), nutritional status, and blood-based markers of nutrient intake. The dietary intervention group improved waist circumference, body fat percentage, low-density lipoprotein cholesterol, triglyceride levels, and glucose. The energy composition ratio of carbohydrates and proteins changed favorably, and sugar intake decreased. In addition, the proportion of continuous glucose monitoring readings within the range of 180-250 mg/dL was relatively lower in the intervention group than that of the control group. Meals designed based on diabetes management guidelines can improve clinical factors, including stable blood glucose levels in daily life, significantly decrease the carbohydrate energy ratio, and increase the protein energy ratio. This study can help determine the role of dietary interventions in diabetes management and outcomes.

Optimal Coefficient of Variance Threshold to Minimize Hypoglycemia Risk in Individuals with Well-Controlled Type 1 Diabetes Mellitus.

BACKGRUOUND: This study investigated the optimal coefficient of variance (%CV) for preventing hypoglycemia based on real-time continuous glucose monitoring (rt-CGM) data in people with type 1 diabetes mellitus (T1DM) already achieving their mean glucose (MG) target. METHODS: Data from 172 subjects who underwent rt-CGM for at least 90 days and for whom 439 90-day glycemic profiles were available were analyzed. Receiver operator characteristic analysis was conducted to determine the cut-off value of %CV to achieve time below range (%TBR)<54 mg/dL <1 and =0. RESULTS: Overall mean glycosylated hemoglobin was 6.8% and median %TBR<54 mg/dL was 0.2%. MG was significantly higher and %CV significantly lower in profiles achieving %TBR<54 mg/dL <1 compared to %TBR<54 mg/dL ≥1 (all P<0.001). The cut-off value of %CV for achieving %TBR<54 mg/dL <1 was 37.5%, 37.3%, and 31.0%, in the whole population, MG >135 mg/dL, and ≤135 mg/dL, respectively. The cut-off value for %TBR<54 mg/dL=0% was 29.2% in MG ≤135 mg/dL. In profiles with MG ≤135 mg/dL, 94.2% of profiles with a %CV <31 achieved the target of %TBR<54 mg/dL <1, and 97.3% with a %CV <29.2 achieved the target of %TBR<54 mg/ dL=0%. When MG was >135 mg/dL, 99.4% of profiles with a %CV <37.3 achieved %TBR<54 mg/dL <1. CONCLUSION: In well-controlled T1DM with MG ≤135 mg/dL, we suggest a %CV <31% to achieve the %TBR<54 mg/dL <1 target. Furthermore, we suggest a %CV <29.2% to achieve the target of %TBR<54 mg/dL =0 for people at high risk of hypoglycemia.

Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study.

BACKGRUOUND: This study evaluated the effects of a mobile diabetes management program called "iCareD" (College of Medicine, The Catholic University of Korea) which was integrated into the hospital's electronic medical records system to minimize the workload of the healthcare team in the real clinical practice setting. METHODS: In this retrospective observational study, we recruited 308 patients. We categorized these patients based on their compliance regarding their use of the iCareD program at home; compliance was determined through self-monitored blood glucose inputs and message subscription rates. We analyzed changes in the ABC (hemoglobin A1c, blood pressure, and low-density lipoprotein cholesterol) levels from the baseline to 12 months thereafter, based on the patients' iCareD usage patterns. RESULTS: The patients comprised 92 (30%) non-users, 170 (55%) poor-compliance users, and 46 (15%) good-compliance users; the ABC target achievement rate showed prominent changes in good-compliance groups from baseline to 12 months (10.9% vs. 23.9%, P<0.05), whereas no significant changes were observed for poor-compliance users and non-users (13.5% vs. 18.8%, P=0.106; 20.7% vs. 14.1%, P=0.201; respectively). CONCLUSION: Implementing the iCareD can improve the ABC levels of patients with diabetes with minimal efforts of the healthcare team in real clinical settings. However, the improvement of patients' compliance concerning the use of the system without the vigorous intervention of the healthcare team needs to be solved in the future.

Determinants of diabetes self-care activities in patients with type 2 diabetes based on self-determination theory.

AIMS: In type 2 diabetes control, self-management is an effective way to minimize the risk of developing complications and improve the quality of life. Self-determination theory (SDT) proposed a promising explanatory framework to predict self-regulated behavior which was particularly relevant for self-management. This study aimed to investigate whether SDT constructs can affect the self-management and controlling glycated hemoglobin A1c (HbA1c) levels in type 2 diabetic patients or not. METHODS: This cross-sectional study was conducted from August to December 2022 at two diabetes clinics in Zahedan. The study included 300 patients with type 2 diabetes. Data collection was done using a researcher-administrated questionnaire that included demographic data, diabetes self-care activities, and self-determination constructs including autonomous support, autonomous motivation, and perceived competence. RESULTS: The mean of the overall score of self-care activities was 34.62 ± 11.86 out of a maximum of 70. Patients in the fourth quarter (wealthiest) of the socioeconomic status had the highest mean self-care score (P = 0.003). There was a significant relationship between diet score with perceived competence (P = 0.009). Perceived competence (P<0.001) and controlled self-regulation (P<0.001) were the predictors of exercise score in diabetes patients. Independent self-regulation (P<0.001, r = 0.21) and overall self-regulation (P = 0.001, r = 0.19) were significantly related to blood-glucose testing score. There was a significant relationship between foot care score with perceived competence (P = 0.048, r = 0.11) and autonomous support (P = 0.013, r = 0.14). Multiple regression showed that exercise was the predictor of HbA1c (P = 0.014). CONCLUSION: Exercise is crucial for achieving good individualized glycemic control and reducing the risk of diabetes complications. The findings provided valuable insights into the determinants of self-care activities in patients with type 2 diabetes and underscore the need for interventions that address socioeconomic disparities, enhance perceived competence, and provide autonomy support to improve diabetes self-care.

Effects of different frequency of blood glucose monitoring on glucose control in overweight/obese young and middle aged people with prediabetes / 中国实用护理杂志

Objective:To explore the effectiveness of blood glucose monitoring at different frequencies on the control of blood glucose in overweight/obese prediabetes population on the basis of health education, and to provide a basis for blood glucose monitoring and management in prediabetes population.Methods:A randomized controlled study was used. 90 prediabetes patients from the Physical Examination Center/Endocrine Clinic/Endocrine Ward of the First Affiliated Hospital of China Medical University from January to March 2021 were selected by continuous sampling method, and were randomly divided into the group A, B and C by lottery method, with 30 patients in each group, and the study period was 12 months. Group A, B and C received unified health education guidance at enrollment, 6-month follow-up, and 12-month follow-up. Group A underwent blood glucose monitoring every 6 months, group B underwent blood glucose monitoring every 3 months, group C underwent blood glucose monitoring every month. Recorded and compared the levels of glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), 2-hour post-load blood glucose (2 hPG), and body mass index (BMI) of three groups at the time points of enrollment, 6-month follow-up, and 12-month follow-up.Results:There were 15 males and 15 females in the group A, 14 males and 16 females in the group B, 12 males and 18 females in the group C. The ages in the group A, B and C were (48.37 ± 10.80), (49.20 ± 9.25) and (44.77 ± 12.28) years old respectively. At the time point of 12-month follow-up, the HbA1c in the group A, B and C were (6.01 ± 0.36)%, (5.82 ± 0.35)% and (5.64 ± 0.27)%, the difference was significant ( F=9.72, P<0.05); the FPG in the group A, B and C were (5.64 ± 0.88), (5.05 ± 0.53) and (4.98 ± 0.48)mmol/L, the difference was significant ( F=9.23, P<0.05); the 2 hPG in the group A, B and C were (9.38 ± 1.23), (8.23 ± 0.72) and (7.71 ± 0.86) mmol/L, the difference was significant ( F=23.89, P<0.05); the BMI in the group A, B and C were (28.52 ± 4.24), (27.02 ± 2.67) and (25.56 ± 1.34) kg/m 2, the difference was significant ( F=7.37, P<0.05). Conclusions:On the basis of health education, compared with the routine blood glucose monitoring once every six months, blood glucose monitoring once every three months and once every month can improve the blood glucose control and BMI level of overweight/obese young and middle-aged people with prediabetes, and provide a basis for seeking an effective and economic blood glucose monitoring mode in clinical practice.

Correlation between time in range and glycated hemoglobin in patients with newly-diagnosed type 2 diabetes mellitus / 中华健康管理学杂志

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.

Patient-Centered Medicine and Self-Care of Patients with Type 2 Diabetes: A Cross-Sectional Study.

INTRODUCTION: Even though the prevalence rate of diabetes in Portugal is one of the highest in Europe, no studies on the association between patient centered medicine, diabetes self-care, and glycemic control have been published. Assuming that patient centered medicine increases adherence to treatment through the improvement of the doctor-patient relationship, the aim of this study was to assess the influence of patient-centered medicine on the self-care of patients with type 2 diabetes patients' (T2DM) in two Family Health Units in Central Portugal, according to gender and age. MATERIAL AND METHODS: A cross-sectional study was conducted in two Family Health Units in Central Portugal between the 25th November 2021 and the 15th January 2022. Patients with type 2 diabetes were invited to fill in the Patient-Centered Medicine questionnaire, for patients (PCM-p) (where higher values represent worse results) and the Summary of Diabetes Self-Care Activities Measure (SDSCAM), (where higher values represent better results), while healthcare professionals filled in the epidemiologic variables on pre-defined days. RESULTS: A sample of 298 patients with type 2 diabetes was studied. Linear regressions for the association between SDSCAM scale factors and PCM-p showed significant associations for general diet (ß = -0.07, p < 0.001), specific diet (ß = -0.10, p < 0.001), exercise (ß = -0.03, p = 0.008), foot care (ß = -0.11, p < 0.001) and medication adherence in general (ß = -0.06, p = 0.001). Multiple linear regression including the association between glycated hemoglobin (HbA1c) and the SDSCAM scale dimensions showed that specific diet was associated with lower HbA1c levels (ß = -0.01, p = 0.007) and blood sugar testing (ß = 0.01, p < 0.001) and that a higher score in PCMp was associated with higher HbA1c levels (ß = 0.06, p < 0.001). Male patients (ß = -6.93, p = 0.007) and older patients (ß = -0.42, p = 0.001) were associated with lower scores in the specific diet. The male gender was associated with higher scores in exercise (ß = 7.62, p = 0.029), lower scores in foot care (ß = -6.06, p = 0.029) and lower scores in medication adherence to injectable medicines/6.2 (ß = -0.73, p = 0.018). Age was associated with a lower score in medication (ß = -0.03, p = 0.045) and a higher PCMp total score (ß = 0.07, p = 0.030). CONCLUSION: Patient-centered medicine in type 2 diabetics is associated with better self-care behaviors in patients with type 2 diabetes. Gender and age differences were observed in self-care behaviors and age differences were observed in Patient Centered Medicine.

Error traps in the perioperative management of children with type 1 diabetes.

Patients with type 1 diabetes mellitus (T1D) require insulin administration at all times to maintain euglycemia and metabolic stability. Insulin administration in the perioperative period is complicated by fasting requirements and perioperative stressors that can change the patient's insulin needs. In addition, many anesthesia providers are not familiar with insulin dosing strategies and technology, such as insulin pumps and continuous glucose monitors (CGMs), that are commonly used by patients with T1D. Errors in perioperative insulin administration can lead to hypoglycemia, hyperglycemia, and diabetic ketoacidosis. This article reviews common errors of associated with the perioperative management of patients with T1D, including failure to assess and coordinate patient care preoperatively; failure to understand diabetes management and technology; failure to monitor blood glucose and recognize dysglycemia; and failure to appropriately administer basal insulin.

Correlación entre tiempo en rango y hemoglobina glicosilada en personas con diabetes mellitus: revisión sistemática / Correlation between time on target and glycated hemoglobin in people with diabetes mellitus: systematic review / Correlação entre tempo no alvo e hemoglobina glicada de pessoas com diabetes mellitus: revisão sistemática

Objetivo: analizar la correlación entre el tiempo en rango y la hemoglobina glicosilada de personas que viven con diabetes mellitus y realizan la monitorización continua de la glucemia o el automonitoreo de la glucemia capilar Método: revisión sistemática de etiología y riesgo basada en las directrices del JBI e informada según los Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abarcando seis bases de datos y la literatura gris. La muestra incluyó 16 estudios y la calidad metodológica fue evaluada utilizando las herramientas del JBI. Protocolo registrado en Open Science Framework, disponible en https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tiempo en rango (70-180 mg/dl) mostró una correlación negativa con la hemoglobina glicosilada, mientras que el tiempo por encima del rango (>180 mg/dl) mostró una correlación positiva. Los coeficientes de correlación variaron entre -0,310 y -0,869 para el tiempo en rango, y entre 0,66 y 0,934 para el tiempo por encima del rango. Un estudio se realizó en una población que hacía el automonitoreo. Conclusión: hay una correlación estadísticamente significativa entre el tiempo en rango y el tiempo por encima del rango con la hemoglobina glicosilada. Cuanto mayor sea la proporción en el rango glucémico adecuado, más cerca o por debajo del 7% estará la hemoglobina glicosilada. Se necesitan más estudios que evalúen esta métrica con datos del automonitoreo de la glucemia.

Objective: to analyze the correlation between time on target and glycated hemoglobin in people living with diabetes mellitus and carrying out continuous blood glucose monitoring or self-monitoring of capillary blood glucose. Method: systematic review of etiology and risk based on JBI guidelines and reported according to Preferred Reporting Items for Systematic Reviews and Meta- Analyses, covering six databases and grey literature. The sample included 16 studies and methodological quality was assessed using JBI tools. Protocol registered in the Open Science Framework, available at https://doi.org/10.17605/OSF.IO/NKMZB. Results: time on target (70-180 mg/dl) showed a negative correlation with glycated hemoglobin, while time above target (>180 mg/dl) showed a positive correlation. Correlation coefficients ranged between -0.310 and -0.869 for time on target, and between 0.66 and 0.934 for time above target. A study was carried out on a population that performed self-monitoring. Conclusion: there is a statistically significant correlation between time on target and time above target with glycated hemoglobin. The higher the proportion in the adequate glycemic range, the closer to or less than 7% the glycated hemoglobin will be. More studies are needed to evaluate this metric with data from self-monitoring of blood glucose.

Objetivo: analisar a correlação entre o tempo no alvo e a hemoglobina glicada de pessoas que vivem com diabetes mellitus e realizam a monitorização contínua da glicemia ou a automonitorização da glicemia capilar. Método: revisão sistemática de etiologia e de risco pautada nas diretrizes do JBI e reportada conforme Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abrangendo seis bases de dados e a literatura cinzenta. A amostra incluiu 16 estudos e a qualidade metodológica foi avaliada utilizando as ferramentas do JBI. Registrado protocolo no Open Science Framework, disponível em https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tempo no alvo (70-180 mg/dl) apresentou correlação negativa com a hemoglobina glicada, enquanto o tempo acima do alvo (>180 mg/dl) mostrou correlação positiva. Os coeficientes de correlação variaram entre -0,310 e -0,869 para o tempo no alvo, e entre 0,66 e 0,934 para o tempo acima do alvo. Um estudo foi efetuado com população que realizava a automonitorização. Conclusão: há correlação estatisticamente significativa entre o tempo no alvo e o tempo acima do alvo com a hemoglobina glicada. Quanto maior a proporção na faixa glicêmica adequada, mais próxima ou inferior a 7% estará a hemoglobina glicada. São necessários mais estudos que avaliem essa métrica com dados da automonitorização da glicemia.

Knowledge, Attitude and Practice of Patients with Gestational Diabetes Mellitus Regarding Gestational Diabetes Mellitus: A Cross-Sectional Study.

Introduction: Self-monitoring of blood glucose levels and changes in diet and lifestyle play important roles in the management of gestational diabetes mellitus (GDM). Methods: This cross-sectional study enrolled patients with GDM at Hangzhou Women's Hospital, China, between September 1, 2022, and October 26, 2022. A questionnaire was designed that included the following dimensions: demographic/clinical information, knowledge, attitude and practice. Correlations between knowledge, attitude and practice scores were evaluated using Spearman correlation analysis. Factors associated with practice score ≥14/16 were identified using multivariate logistic regression. Results: The analysis included 499 women with GDM and a mean age of 31.22±3.89 years. The average knowledge, attitude and practice score were 11.55±3.04, 34.23±4.06 and 10.7±2.87 points, respectively. Knowledge score was positively correlated with attitude score (r=0.318, P<0.001) and practice score (r=0.351, P<0.001); attitude and practice scores were also positively correlated (r=0.209, P<0.001). Multivariate analysis identified higher knowledge score (odds ratio [OR], 1.138; 95% confidence interval [95% CI], 1.042-1.244; P=0.004) and higher attitude score (OR, 1.137; 95% CI, 1.060-1.219; P<0.001) as independently associated with good practice (ie, practice score ≥14 points). Conclusion: The results provide important insights into the knowledge, attitudes and practices of women with GDM in China regarding GDM and its management. These findings may facilitate the development and implementation of education and training programs to improve the self-management of GDM by women in China.

Monitorización flash en pacientes con diabetes mellitus tipo 1: adherencia, complicaciones y parámetros clínicos / Flash monitoring in patients with type 1 diabetes mellitus: treatment adherence, complications and clinical parameters

Objetivos: describir el perfil sociodemográfico y clínico de las personas con diabetes mellitus tipo 1 (DM1), así como el uso del dispositivo de monitorización flash Freestyle Libre (FL) en quienes se lo habían costeado por cuenta propia, y analizar las diferencias (parámetros analíticos, complicaciones de la enfermedad y adherencia al tratamiento) frente a pacientes con DM1 que utilizaban los controles glucémicos tradicionales mediante punción capilar.Método: estudio descriptivo transversal en 206 pacientes con DM1 de un área de salud en la región de Castilla-La Mancha. Variables de estudio: tener dispositivo FL por cuenta propia, variables sociodemográficas y clínicas (incluyendo parámetros analíticos) y el cuestionario validado Self Care Inventory Revised (SCI-R). Se realizaron análisis univariante y bivariante, así como un análisis multivariante de regresión logística (variable dependiente: tener el dispositivo FL por cuenta propia).Resultados: el análisis multivariante mostró que no tener el dispositivo FL era más probable en quienes tenían estudios primarios/sin estudios (OR 4,86 (IC95%: 1,03-22,88); Referencia (Ref): estudios secundarios/universitarios), dislipemia (OR 3,18 (IC95% 1,39-7,26); Ref: no dislipemia), 6 o más hipoglucemias/semana (OR 3,21 (IC95%: 1,44-7,16); Ref: menos de 6) y 4 o más punciones/día (OR: 17,56 (IC95%: 6,09-50,64); Ref: menos de 4). Tanto le media de glucosa basal como la HBA1c eran más bajas (p< 0,001) en quienes tenían el dispositivo, así como mejores puntuaciones en el SCI-R (p< 0,001).Conclusión: el uso de los dispositivos de control glucémico permite un mejor manejo de las complicaciones de la DM1: menor número de hiper e hipoglucemias, punciones y mejor adherencia al tratamiento.(AU)

Objectives: to describe the sociodemographic and clinical profile of persons with Type 1 Diabetes Mellitus (T1D), as well as the use of the FreeStyle Libre (FL) flash monitoring device in those who had paid for it out of their own pocket, and to analyse the differences (lab test parameters, disease complications and treatment adherence) vs. T1D patients using traditional glycemic monitoring through finger prick.Method: a descriptive cross-sectional study in 206 patients with T1D from a health area in the Castilla-La Mancha region. Study variables: to have a FL device purchased out of pocket, sociodemographic and clinical variables (including lab test parameters) and the validated Self Care Inventory Revised (SCI-R) questionnaire. Univariate and bivariate analyses were conducted, as well as multivariate logistical regression analysis (dependent variable: to have purchased the FL out of pocket).Results: the multivariate analysis showed that not having the FL device was more likely among those with primary education / no education (OR 4.86 (CI95%: 1.03-22.88); Reference (Ref): secondary / university education, dyslipidemias (OR 3.18 (CI95% 1.39-7.26); Ref: no dyslipidemia, 6 or more hypoglycaemias/ week (OR 3.21 (CI95%: 1.44-7.16); Ref: less than 4, or more finger pricks/day (OR: 17.56 (CI95%: 6.09-50.64); Ref: less than 4. Both the mean baseline glucose and the HBA1c were lower (p< 0.001) among those who had the device, who also had better scores in the SCI-R questionnaire (p< 0.001).Conclusion: the use of the glycemic control devices allows better management of TDI complications: a lower number of hyper and hypoglycaemias and finger pricks, and better treatment adherence.(AU)