Metabolic control, adherence to the gluten-free diet and quality of life among patients with type 1 diabetes and celiac disease.

AIMS: In this cross-sectional study, we aimed to evaluate metabolic control, adherence to a gluten-free diet (GFD), and quality of life (QoL) in individuals with type 1 diabetes (T1D) and celiac disease (CD). METHODS: We targeted individuals with T1D and CD at a major tertiary hospital in Saudi Arabia. We gathered retrospective data from medical records and prospectively assessed glycemic control using HbA1c and ambulatory glucose metrics, adherence to a GFD using the Celiac Dietary Adherence Test (CDAT), and QoL using the Celiac Disease Quality of Life survey (CD-QoL). RESULTS: Forty-eight out of 1095 patients screened (4.38%) were included. Mean age and HbA1c were 21.3 (± 6.6) and 8.3% (± 0.8%). The average time in range% and above range% were 38.5 (range 24-68) and 29.6 (± 7.4). The median hypoglycemic events/month was 8, with a median duration of 80 min. The median overall CDAT and CD-QoL scores were 20.5 and 54. No significant correlations were observed between glucose management indicator (GMI), % in target, and CDAT/CD-QoL scores (all p > 0.05). CONCLUSIONS: No significant effect of GFD on QoL or glycemic control was observed. Further prospective studies are warranted to establish solid evidence of the impact of GFD on individuals with T1D and CD.

Use of Flash Glucose Monitoring and Glycemic Control in Patients with Type 2 Diabetes Mellitus Not Treated with an Intensive Insulin Regimen: 1-Year Real-Life Retrospective Cohort Study.

INTRODUCTION: Estimation of laboratory-derived glycated hemoglobin (HbA1c) cannot be individually used to monitor clinically significant trends in glucose variability. Hence, clinicians advise use of continuous glucose monitoring (CGM) devices such as the Freestyle Libre™ flash glucose monitoring system (FLASH) to optimize glycemic control by estimating glucose monitoring index (GMI) values, which convert mean glucose into an estimate of simultaneously measured laboratory HbA1c. This study aimed to investigate the sustainability of intermittently scanned continuous glucose monitoring (isCGM) in patients with type 2 diabetes mellitus (T2DM) not on intensive insulin regimen, and correlations between GMI values obtained from isCGM and laboratory-derived HbA1c values. METHODS: A retrospective review of 93 patients with T2DM not on intensive insulin regimen, using FLASH device, was conducted at a major tertiary hospital in Saudi Arabia, over 1 year of continuous device use. To determine the sustainability of isCGM, various glycemic markers such as average glucose and time in range were evaluated. Paired t test or Wilcoxon signed-rank test was used to assess differences in markers of glycemic control, and Pearson's correlation was used to determine correlations between HbA1c and GMI values. RESULTS: Descriptive analysis shows the mean HbA1c value significantly decreased following continued use of isCGM. Pre-isCGM mean HbA1c value of 8.3% improved to 8.1% (p < 0.001) and 7.9% (p < 0.001) in the first 90 and last 90 days of device use, respectively. For both 90-day time periods, correlation analysis revealed a statistically significant positive correlation and linear regression between laboratory-derived HbA1c and GMI values (first 90 days r = 0.7999, p < 0.001; last 90 days r = 0.6651, p < 0.001). CONCLUSION: Continuous use of isCGM demonstrated reductions in HbA1c levels for patients with T2DM not on an intensive insulin regimen. The GMI values showed high levels of agreement with measured HbA1c, indicating their accuracy in glucose management.

Level of Agreement and Correlation Between the Estimated Hemoglobin A1c Results Derived by Continuous or Conventional Glucose Monitoring Systems Compared with the Point-of-Care or Laboratory-Based Measurements: An Observational Study.

INTRODUCTION: Hemoglobin A1C (HbA1c) is an important marker for diabetes care management. With the increasing use of new technologies such as continuous glucose monitoring (CGM) and point-of-care testing (POCT), patients and their physicians have been able to monitor and continuously check their blood glucose levels in an efficient and timely manner. This study aimed to investigate the level of agreement between the standard laboratory test for HbA1c (Lab-HbA1c) with point-of-care testing (POCT-HbA1c) and glucose monitoring index (GMI) derived by intermittently scanned CGM (isCGM) or estimated average glucose (eAG) derived by conventional self-monitored blood glucose (SMBG) devices. METHODS: A cross-sectional study was conducted at the Diabetes Treatment Center, Prince Sultan Military Medical City, Saudi Arabia, between May and December 2020 with 81 patients with diabetes who used the isCGM system (n = 30) or conventional finger-pricking SMBG system (n = 51). At the same visit, venous and capillary blood samples were taken for routine HbA1c analysis by the standard laboratory and POCT methods, respectively. Also, for isCGM users, the GMI data for 28 days (GMI-28) and 90 days (GMI-90) were obtained, while for SMBG users, eAG data for 30 days (eAG-30) and 90 days (eAG-90) were calculated. The limits of agreement in different HbA1c measurements were evaluated using a Bland-Altman analysis. Pearson correlation and multivariate linear regression analyses were also performed. RESULTS: Based on the Bland-Altman analysis, HbA1c levels for 96.7% and 96.1% of the patients analyzed by the POCT and the standard laboratory methods were within the range of the 95% limit of agreement in both isCGM and conventional SMBG users, respectively. About 93.3% of the GMI measurements were within the 95% limit of agreement. Also, about 94.12% of the eAG-30 and 90.2% of the eAG-90 measurements were within the 95% limit of agreement. Moreover, the correlation analysis revealed a statistically significant positive correlation and linear regression among Lab-HbA1c, POCT-HbA1c, GMI, and eAG in both conventional SMBG and isCGM users (all p < 0.001). These positive results persisted significantly after adjusting for different factors (all p < 0.001). CONCLUSION: GMI derived by isCGM or eAG derived by conventional SMBG systems, as well as the POCT-HbA1c measurements, showed a high level of agreement; therefore, we recommend them as potential methods for diabetes monitoring, especially when a rapid result is needed or with patients with uncontrolled diabetes or on intensive insulin therapy.

Evaluation of Patient-Reported Satisfaction and Clinical Efficacy of Once-Weekly Semaglutide in Patients with Type 2 Diabetes: An Ambispective Study.

INTRODUCTION: The method of therapy administration and injection device characteristics have been documented to influence perceptions and preference of treatment among patients with type 2 diabetes (T2D). We aimed to assess the metabolic effectiveness and patient-reported satisfaction of once-weekly semaglutide compared to liraglutide in suboptimally controlled patients with T2D. METHODS: We conducted this single-center cohort study at diabetes center clinics at a tertiary care hospital between February 2021 and August 2021. We included suboptimally controlled patients with T2D who had been treated with liraglutide for at least 3 months at baseline, then shifted to once-weekly semaglutide and followed up for the same period. Ambulatory glucose profile (AGP) metrics [i.e., mean glucose level, glycemic variability (GV), time above range (TAR), and time in range (TIR)] for baseline and follow-up were compared. To assess the satisfaction with shifting, we used the valid Arabic version of the Diabetes Treatment Satisfaction Questionnaire status (DTSQs) and change (DTSQc) while the injection device preference was assessed using the Diabetes Injection Device Preference Questionnaire (DID-PQ). RESULTS: We included 52 patients (25 male and 27 female), with a mean age of 48 (± 6) years and a mean diabetes mellitus duration of 7.27 (± 3.79) years. We observed a significantly decreased mean HbA1c level following semaglutide treatment (7.79% at study end vs. 8.07% at baseline, p < 0.001) and body weight (84.64 ± 7.68 vs. 87.15 ± 8.011, p < 0.001). Compared to the glucometrics data at baseline, we observed a significantly improved mean average glucose, GV, TAR, and TIR (p < 0.001). Data from the DTSQs and DTSQc questionnaires showed a high level of patient-reported satisfaction after shifting to semaglutide treatment. All patients preferred/strongly preferred once-weekly semaglutide over liraglutide in most DID-PQ questionnaire domains. CONCLUSIONS: Switching from once-daily liraglutide to once-weekly semaglutide led to improvements in both clinical measures of glycemic control and patient-reported satisfaction.

Effectiveness of the freestyle libre 2 flash glucose monitoring system on diabetes-self-management practices and glycemic parameters among patients with type 1 diabetes using insulin pump.

AIMS: To determine the effectiveness of Freestyle Libre 2 (FSL2) on diabetes-self-management (DSM) practices and glycemic parameters among patients with type 1 diabetes (T1D) using insulin pump. METHODS: This prospective study was performed among 47 patients with T1D (13-21yrs) who self-tested their glucose levels by the conventional finger-prick method using blood glucose meters (BGM). Data related to glycemic profile i.e., mean time in range (TIR), mean time above range (TAR) mean time below range (TBR), mean glucose level, hemoglobin A1c (HbA1c), total daily dose of insulin (TDDI), frequency of glucose monitoring and DSM responses were collected at baseline and 12 weeks. RESULTS: The mean TIR was 59.8 ± 12.6%, TAR 32.7 ± 11.6%, TBR 7.5 ± 4.3%, mean glycemic variability, standard deviation 63.2 ± 12.5 mg/dL, and the coefficient of variation 41.3 ± 11.4% at 12 weeks. At baseline, the HbA1c level was 8.3%, and at 12 weeks, it dropped to 7.9% (p = 0.064). Baseline glucose monitoring frequency through BGM was 2.4/day; however, after the patients employed the FSL2, a higher degree of frequency of glucose monitoring was evident at 12 weeks as 8.2/day (p < 0.001). Significant improvements were observed in all the DSM subscales at 12 weeks. CONCLUSION: Using FSL2 was found to raise the patients' DSM levels and improved metabolic control.

Assessment of Patient Satisfaction with On-Site Point-of-Care Hemoglobin A1c Testing: An Observational Study.

INTRODUCTION: Poor glycemic control is a serious challenge in successful diabetes management. Given the low adherence and compliance with HbA1c testing frequency and the corresponding delay in the appropriate medication adjustment, point-of-care testing (POCT) for HbA1c provides an opportunity for better control of diabetes and higher patient satisfaction. The data with this regard are limited in Saudi Arabia. Therefore, we aimed to assess the level of patient satisfaction associated with the POCT service implementation for HbA1c and evaluate the differences between the number of requested and conducted HbA1c tests before and after POCT implementation and its effect on glycemic control in Saudi clinical practice. METHODS: We conducted a single-center ambispective descriptive cohort study in Riyadh, Saudi Arabia. This study had two phases: the retrospective phase (January 2017 to December 2017) and the prospective phase (January 2018 to December 2018). Patient satisfaction was assessed using the patient satisfaction questionnaire short form (PSQ-18) and on-site HbA1c point-of-care testing (HbA1c-POCT) satisfaction questionnaire. RESULTS: This study included 75 patients with diabetes (37% type 1, 63% type 2) with a mean age of 44.35 (± 17.97) years. The adherence to physician recommendations for HbA1c testing frequency increased from 24% to 85% (before and after POCT implementation, respectively). High levels of satisfaction across seven dimensions of PSQ-18 (77-88%) were reported towards the provided healthcare service after POCT implementation. Furthermore, a high level of agreement on the statements of the on-site HbA1c-POCT satisfaction questionnaire was also observed. Finally, the mean HbA1c level has significantly improved after POCT implementation compared to the traditional HbA1c laboratory testing before POCT implementation [8.34 ± 0.67 and 8.06 ± 0.62, respectively, p < 0.001). CONCLUSION: HbA1c testing at POCT improved adherence to recommendations for HbA1c testing frequency for better glycemic control and higher patient satisfaction. POCT reduces turnaround time, improves glycemic control, and facilitates the decision-making process. HbA1c measurement with POC devices is recommended to be implemented in diabetes treatment centers. All of the described benefits of POCT come together to make HbA1c testing the most common procedure for diabetes management at the point of care.

Frequency of Diabetic Ketoacidosis in Patients with Type 1 Diabetes Using FreeStyle Libre: A Retrospective Chart Review.

INTRODUCTION: Diabetic ketoacidosis (DKA) is an acute complication associated with poorly managed or undiagnosed diabetes. DKA is associated with significant morbidity, mortality, and healthcare costs, but can be prevented with appropriate management of diabetes. The FreeStyle Libre is flash glucose monitoring device that measures glucose levels in the interstitial subcutaneous tissue and has been shown to reduce HbA1c, time in hypoglycemia and hyperglycemia, as well as improve health-related quality of life. METHODS: A retrospective chart review of patients with type 1 diabetes mellitus (T1DM) and recurrent DKA and who initiated FreeStyle Libre (Abbott Diabetes Care, Alameda, CA, USA) was conducted. DKA frequency and severity, glycated hemoglobin (HbA1c), and frequency of blood glucose monitoring were compared between the 2-year period before FreeStyle Libre initiation and the 2-year period after FreeStyle Libre initiation. RESULTS: A total of 47 patients with T1DM with recurrent DKA were included. FreeStyle Libre was associated with a reduction in the frequency of DKA events, with a mean of 0.2 (standard deviation [SD] 0.4) events per person during the 2 years after FreeStyle Libre initiation versus 2.9 (SD 0.9) during the 2 years before FreeStyle Libre initiation. Severity of DKA events was also reduced, with fewer severe (before mean 0.3 [SD 0.5] versus after 0.0 [SD 0.0]; p < 0.001) DKA events. A reduction in HbA1c (mean 7.4% [SD 0.5] after versus 9.9% [SD 1.2] before [p < 0.001]) and an increase in frequency of blood glucose testing (mean 8.1 scans/day [SD 1.7] after versus 2.2 finger-pricks/day [SD 0.7] at before [p < 0.001]) were also observed. CONCLUSION: FreeStyle Libre is associated with a reduction in the frequency and severity of DKA events, reduction in HbA1c, and increase in frequency of blood glucose testing in patients with T1DM and recurrent DKA. The use of such a glucose monitoring tool can help to reduce the burden of morbidity, mortality, and healthcare costs associated with complications of diabetes.

Efficacy of i-Port Advance system on patients satisfaction and glycemic control among patients with type 1 diabetes in Saudi Arabia.

BACKGROUND AND AIMS: To determine the efficacy of i-Port Advance system on patients satisfaction and glycemic control among patients with type 1 diabetes (T1D). METHODS: This prospective study was performed among 73 patients with T1D (13-29 years) at Prince Sultan Military Medical City, Riyadh, Saudi Arabia. Demographic data were collected at baseline and clinical characteristics were collected at baseline and 12 weeks. Patients' responses to Morisky Medication Adherence Scale (MMAS-8) and Insulin Delivery Satisfaction Survey (IDSS) were recorded at baseline and 12 weeks after initiating the i-Port Advance system. RESULTS: At 12 weeks, significant improvement was evident in the IDSS subscales, which comprises the IDSS effective (p = 0.048), burdensome (p = 0.032), and IDSS inconvenient (p = 0.001), with the total baseline IDSS score being 2.6 ± 0.42, and at 12 weeks being 3.7 ± 0.72 (p = 0.037). The MMAS total score at baseline was 4.6 ± 1.2, and at 12 weeks, it increased to 6.4 (p = 0.028). HbA1c level was 8.4% at baseline and decreased to 7.9% (p = 0.001) at 12 weeks. The total daily dose of insulin at baseline registered 0.9 ± 0.13, which declined to 0.8 ± 0.12 (p = 0.048) at 12 weeks. Fasting blood sugar value was 197 ± 23.4 at baseline, which dropped to 182 ± 24.5 at 12 weeks (p = 0.01); and the postprandial glucose at baseline was 195 ± 21.4 and declined to 177 ± 19.2 at 12 weeks (p = 0.01). The hypoglycemic episodes revealed a noteworthy reduction after the i-Port Advance system usage. CONCLUSION: Use of i-Port Advance system was found to raise the patients' satisfaction levels and lower both the hypoglycemic episodes as well as the HbA1c levels.

Risk factors for hospital admission among COVID-19 patients with diabetes. A study from Saudi Arabia.

OBJECTIVES: To elucidate the risk factors for hospital admission among COVID-19 patients with type 2 diabetes mellitus (T2DM). METHODS: This retrospective study was conducted at the Prince Sultan Military Medical City, Riyadh, Saudi Arabia between May 2020 and July 2020. Out of 7,260 COVID-19 patients, 920 were identified as T2DM. After the exclusion process, 806 patients with T2DM were included in this analysis. Patients' data were extracted from electronic medical records. A logistic regression model was performed to estimate the risk factors of hospital admission. Results: Of the total of 806 COVID-19 patients with T2DM, 48% were admitted in the hospital, 52% were placed under home isolation. Older age between 70-79 years (OR [odd ratio] 2.56; p=0.017), ≥80 years (OR 6.48; p=0.001) were significantly more likely to be hospitalized compared to less than 40 years. Similarly, patients with higher HbA1c level of ≥9% compared to less than 7%; (OR 1.58; p=0.047); patients with comorbidities such as, hypertension (OR 1.43; p=0.048), cardiovascular disease (OR 1.56; p=0.033), cerebrovascular disease (OR 2.38; p=0.016), chronic pulmonary disease (OR 1.51; p=0.018), malignancy (OR 2.45; p=0.025), chronic kidney disease (CKD) IIIa, IIIb, IV (OR 2.37; p=0.008), CKD V (OR 5.07; p=0.007) were significantly more likely to be hospitalized. Likewise, insulin-treated (OR 1.46; p=0.03) were more likely to require hospital admission compared to non-insulin treated patients. CONCLUSION: Among COVID-19 patients with diabetes, higher age, high HbA1c level, and presence of other comorbidities were found to be significant risk factors for the hospital admission.

Clinical characteristics of hospitalized and home isolated COVID-19 patients with type 1 diabetes.

BACKGROUND AND AIMS: To elucidate the clinical features of COVID-19 patients with type 1 diabetes (T1D) under hospitalization and home isolation conditions. METHOD: This retrospective study was conducted among 32 patients with COVID-19 and T1D, who sought treatment at the Prince Sultan Military Medical City, Riyadh, Saudi Arabia between May 01, 2020 and July 30, 2020. Patients data were extracted from electronic medical records. RESULTS: Of the total of 32 COVID-19 patients with T1D, 21.9% required hospitalization, while 78.1% underwent home isolation. Among the study population, 9.4% (3/32) were reported to have hypertension, 21.9% (7/32) had chronic pulmonary disease (CPD), 18.8% (6/32) had thyroid disorders, and 18.8% (6/32) had the celiac disease. Of the 32 studied patients, 68.8% (22/32) of them were reported as normal, while 28.1% (9/32) had chronic kidney disease (CKD) II and 3.1% (1/32) had end-stage renal failure. The most common symptoms observed among the hospitalized patients were nausea and vomiting (71.4%; 5/7), followed by fever (57.1%; 4/7), cough (42.8%; 3/7), sore throat (42.8%; 3/7), abdominal pain (42.8%; 3/7) and dyspnea (42.%; 3/7). The most common reasons for hospitalization were diabetic ketoacidosis (71.4%; 5/7) followed by bacterial pneumonia (14.3%; 1/7), fever (14.3%; 1/7), sore throat (14.3%; 1/7), severe hyperglycemia (14.3%; 1/7) and COVID-19 pneumonia (14.3%; 1/7). Except the severity of COVID-19 (p = 0.0001), none of the demographic and clinical parameters indicated statistically significant differences between patients requiring hospitalization and home isolation. CONCLUSION: Majority of the COVID-19 patients with T1D recovered with conservative treatment at home. Diabetic ketoacidosis was the most common reason for hospitalization.

Evaluating the User Preference and Level of Insulin Self-Administration Adherence in Young Patients With Type 1 Diabetes: Experience With Two Insulin Pen Needle Lengths.

Background Selecting the appropriate insulin pen needle is important to reduce pain and injection-related adverse events like insulin leakage. It also helps to improve medication adherence and glycemic control in patients with type 1 diabetes mellitus (T1DM). Objective This study aimed to compare the 6-mm and 8-mm 32.5-gauge insulin pen needles in terms of glycemic control, pain score, user preference, medication adherence, and injection adverse events in patients with T1DM. Methods We conducted a prospective cohort study of 62 patients with T1DM. All patients constituted an experimental group initially and then changed the length of the needle to be part of a self-control group. The glycemic control, visual analog scale (VAS) pain score, Morisky Medication Adherence Scale (MMAS) score, needle attribute score, and injection-related adverse events were measured for all patients with both lengths of needles. Patients were assessed at the baseline visit and followed up for three months. Statistical comparisons were done by the chi-squared test, paired t-test, and paired Wilcoxon test when appropriate with a two-tailed alpha level below 0.05 indicating statistical significance. Results With the NanoPass® 32.5-gauge, 6-mm needle (Terumo Corp., Tokyo, Japan), patients had significantly lower glycated hemoglobin (HbA1c) compared to 8-mm needles (7.9% vs. 8.3%; p<0.001). The proportions of patients who reported no hypoglycemic episodes were 22/62 and 9/62, with the 6-mm and 8-mm needles, respectively. The 6-mm needles were better in terms of the following parameters compared to 8-mm needles: mean needle attribute scores (36.7 vs. 24.2; p<0.001), median VAS pain scores (20 vs. 55; p<0.001), insulin leakage (6/62 vs. 20/62; p=0.002), and the MMAS score (4.9 vs. 3.4; p<0.001). Conclusion This study provided an overview of the safety, adherence, pain score, and glycemic control relating to the 6-mm and 8-mm insulin needle lengths. Insulin injections using the NanoPass 32.5-gauge, 6-mm needle were associated with lower pain score, higher patient adherence, fewer adverse events, and better glycemic control compared to the 8-mm needle. Therefore, we recommend the use of the NanoPass 6-mm needle for patients with T1DM. Further studies are needed to confirm these findings in patients with type 2 diabetes mellitus (T2DM).

Assessing Diabetes Distress and Sleep Quality in Young Adults with Type 1 Diabetes Using FreeStyle Libre: A Prospective Cohort Study.

INTRODUCTION: The burden of diabetes, its potential complications, and related self-care activities can induce negative psychosocial effects in patients with type 1 diabetes mellitus (T1DM). This prospective cohort study investigated the psychosocial benefits associated with 3 months of FreeStyle Libre (FSL) flash glucose monitoring use in young adults with T1DM in Saudi Arabia. METHODS: Patients completed the Diabetes Distress Scale (DDS) and the Pittsburgh Sleep Quality Index (PSQI) questionnaires at baseline and 3 months. HbA1c, number of confirmed hypoglycemia episodes per month, and frequency of blood glucose testing were also collected at baseline and 3 months. RESULTS: Of 95 patients analyzed, significant reductions were observed in mean DDS (3.8 vs. 2.5; p < 0.001) and PSQI (8.7 vs. 3.9; p < 0.001) scores from baseline to 3 months. Furthermore, HbA1c and confirmed hypoglycemia episodes per month also decreased from baseline to 3 months (HbA1c 8.3 vs. 7.7% [67 vs. 61 mmol/mol], p < 0.001; hypoglycemia episodes 3.0 vs. 2.3, p < 0.001). In contrast, mean frequency of blood glucose testing per day increased from baseline to 3 months (2.5 vs. 5.2; p < 0.001). CONCLUSION: These data demonstrate improvements in diabetes distress and sleep quality as well as glycemic outcomes following 3 months' FSL use in young adults with T1DM.

Clinical and psychological characteristics of liraglutide treatment among patients with type 2 diabetes.

AIM: This study aimed to evaluate the glycemic control, quality of life (QOL), and sleep quality in type 2 diabetes mellitus (T2DM) patients who are treated with liraglutide and to investigate whether the QOL and sleep quality were correlated with the glycemic control of this population. METHODS: A cross-sectional study was carried out on T2DM patients who were treated with liraglutide. Data on body weight and glycemic control were recorded while the QOL and sleep quality were assessed using the Short-Form Health Survey (SF-36), the 5-item World Health Organization Well-Being Index (WHO-5), and the Pittsburgh Sleep Quality Index (PSQI) questionnaires. RESULTS: Eighty-four T2DM patients who initiated liraglutide with a mean age of 46.7 years were included in the study. The mean hemoglobin A1c (HbA1c) was 7.76% (standard deviation [SD] =0.62), and about 88.1% of patients had HbA1c > 7%. The PSQI score showed not too bad sleep quality (mean 4.3 ± 1.9). The mean WHO-5 score of the study population showed a "moderate" QOL (12.4 ± 3). Patients had lowest SF-36 score (mean = 52.3) in the subscale of "energy and fatigue." There was a significant positive correlation between HbA1C and the "energy and fatigue" (r = 0.232, P = 0.034) but not with the other subscales. CONCLUSION: Patients with T2DM taking liraglutide have moderate sleep difficulty and QOL score. Nonetheless, none of these outcomes was significantly correlated with glycemic control. Further well-designed studies with long-term follow-up and larger population sizes are needed to confirm our findings.

Effectiveness of the Freestyle Libre Flash Glucose Monitoring System on Diabetes Distress Among Individuals with Type 1 Diabetes: A Prospective Study.

AIM: To study and explore the intervention of the flash glucose monitoring system (FGMS) on diabetes-related distress (DRD) in children and adolescents with type 1 diabetes (T1D). METHODS: A 12-week prospective study was performed from March 2019 to July 2019 involving 187 children and adolescents (age range 13-19 years; 56.7% female) with T1D who were self-testing their glucose levels using the conventional fingerprick method. At the time of the baseline visit, FGMS sensors were fixed by a trained diabetes educator onto each patient in the study population. A trained interviewer also administered the 28-item T1-Diabetes Distress Scale (T1-DDS) questionnaire to each participant at the baseline visit and again after 12 weeks to determine the T1-DDS score. RESULTS: Comparison of the baseline (fingerprick) data with data collected at 12 weeks after the patients had switched to the FGMS revealed a significant decrease in the subdomains of the T1-DDS as follows: powerlessness (p = 0.0001); management distress (p = 0.0001); hypoglycemia distress (p = 0.0001); negative social perceptions (p = 0.0001); eating (p = 0.0001); physician distress (p = 0.0001); friend/family distress (p = 0.0001); and total T1-DDS score (p = 0.0001). Similarly, analysis of the data revealed that there was also a substantial drop from baseline to 12 weeks after initiation of the intervention in the clinical variables assessed, such as glycosylated hemoglobin; specifically, there was a considerable decrease after 12 weeks in the frequency of hypoglycemia. Interestingly, the frequency of glucose monitoring also showed an upswing among users of the FGMS. CONCLUSION: The outcomes of this study clearly demonstrate that once the patients had been switched from the fingerprick method to FGMS, the DRD and related clinical parameters showed remarkable improvement. However, further studies are necessary to determine whether the continued and consistent use of the FGMS will achieve better results.

Acceptability of the FreeStyle Libre Flash Glucose Monitoring System: The Experience of Young Patients With Type 1 Diabetes.

BACKGROUND: In the current era of modern technology, the development of smart devices such as the flash glucose monitoring (FGM) systems helps patients with diabetes to effortlessly monitor their glucose levels more frequently. In this study, we determine the user acceptability of FGM among young patients with type 1 diabetes (T1D). METHODS: A cross-sectional study was performed among 67 young patients with T1D in the age group of 13 to 19 years and who were managed on the FGM method for self-testing the glucose levels for a minimum of 6 months. The participants acceptability measures that were collected with a standard questionnaire and where they rated their experience with the system on a scale of 1 (strongly agree/painless) to 5 (strongly disagree/severe pain). In addition to the demographic and clinical parameters, a closed/structured questionnaire was administered, in order to record the prior and present skin issues, over a 6-month period. RESULTS: From the patient statements regarding sensor application, 95.5% of the study population strongly agreed that the sensor application caused less pain than the routine finger-stick. Similarly, 85% of the users strongly agreed that using the sensor was comfortable, while 94% strongly agreed that they found the small size of the FGM made it easy to wear, 47.8% strongly agreed that wearing the sensor did not attract attention, 70.1% reported no discomfort under the skin, 80.6% stated that the sensor could be scanned without anyone noticing it, 89.6% felt that the sensor did not affect their daily activities, 91% strongly agreed that the sensor was very compatible with their lifestyle, 79.1% reported ease with taking a glucose reading with the scan, 89.6% reported that taking glucose readings with this system would not disrupt their daily activities, and 76.1% participants were excited to share with other individuals their experiences with this system. A comparison of the self-monitoring of blood glucose and freestyle techniques demonstrated that 83.6% participants strongly agreed that it was less painful to get glucose readings from the freestyle sensor, and that it was a more discreet (83.6%), more comfortable (85.1%), easier (95.5%), faster (82.1%), simpler (79.1%), more private (88.1%), and less stressful (77.6%) method, with minimal hassle (74.6%). It is notable here that 86.6% of the participants reported absolutely no pain when the freestyle sensor was applied; also, the majority of the participants (91%) reported no pain symptoms when scanning the sensor. CONCLUSION: The findings of this study clearly showed that the study population had a high level of acceptability of the FGM.

Factors associated with the presence of diabetic ketoacidosis: A retrospective analysis of patients with type 1 diabetes in Saudi Arabia.

BACKGROUND AND AIMS: To Investigate the factors associated with Diabetic Ketoacidosis (DKA) among patients with type 1 diabetes (T1D). METHODS: This was a descriptive, retrospective study conducted among 1118 patients with T1D, at the Prince Sultan Military Medical City, Riyadh, Saudi Arabia. After, exclusion process, 336 patients were selected for analysis. Among these, 105 patients with T1D were hospitalized for DKA, whereas 231 patients without DKA were outpatients who visited the hospital for T1D follow-up treatment. RESULTS: Bivariate analysis between patients with DKA and those without DKA revealed significant relationships in terms of gender (p = 0.014), age (p = 0.0001), body mass index (BMI) (p = 0.017), hemoglobin A1c (HbA1c) (p = 0.0001), duration of diabetes (p = 0.001) and clinic appointments (p = 0.001). From the logistic regression analysis, it was clear that females (OR 1.88; p = 0.038) had a higher risk for DKA. As compared to the age group of ≥30 years, those in the age category of 20-29 years (OR 1.35; p = 0.001) and teenagers (OR 3.64; p = 0.001) faced a higher risk of having DKA episodes. Compared with patients having HbA1c levels <8%, those showing HbA1c levels 8-9.9% (OR 1.77; p = 0.224) and ≥10% (OR 4.06; p = 0.003) revealed higher risk for DKA. Likewise, in comparison with the patients who were compliant to clinic appointments, those who were non-compliant to clinic appointments exhibited higher than six times the risk (OR 6.38; p = 0.0001) of being more prone to experiencing the DKA episodes. CONCLUSION: Patients with higher risk for DKA comprise, those having high HbA1c levels, longer period of diabetes duration, teenagers, female gender and non-compliant to clinic appointments.

Differences of FreeStyle Libre Flash Glucose Monitoring System and Finger Pricks on Clinical Characteristics and Glucose Monitoring Satisfactions in Type 1 Diabetes Using Insulin Pump.

BACKGROUND: To evaluate the different experience of freestyle libre and finger pricks on clinical characteristics and glucose monitoring satisfaction (GMS) in patients with type 1 diabetes (T1D) using insulin pump (IP). METHODS: A prospective study was carried out on 47 (aged 17-21 years) T1D, who used conventional finger-pricking method for self-testing the glucose. The experiments were conducted between March 2018 and September 2018. For carrying out the study, the flash glucose monitoring (FGM) sensors were placed on each participant, at the baseline visit, by a trained diabetes educator. Furthermore, to determine the total number of scans conducted during the study period, the respective ambulatory glucose profiles were generated by computing the data collected from the sensors. In addition, a trained interviewer handed over the GMS questionnaire to each patient, at the baseline and at 12 weeks of the study. RESULTS: In comparison to the baseline (finger pricks), various parameters such as: HbA1c (P = .042), hypoglycemia (P = .001), mean capillary glucose (P = .004), total daily insulin dose (P = .0001), percentage of bolus insulin (P = .0001), daily bolus frequency (P = .0001), and daily carbohydrates intake (P = .0001) showed a significant improvement at 12 weeks. Similarly, substantial augmentation was noticed, in the sub domains of GMS, that is, openness (P = .0001), emotional burden (P = .0001), behavioral burden (P = .0001), and trust (P = .0001) at 12 weeks as compared to baseline. Overall, total GMS score at baseline was 1.72 ± 0.37, which increased up to 3.41 ± 0.49 (P = .0001) in the time period of 12 weeks. The HbA1c (r2 = 0.45), hypoglycemia (r2 = 0.58), and the mean number of FGM scans, exhibited a negative correlation, while GMS (r2 = 0.52) and the mean number of FGM scans, exhibited a positive correlation. CONCLUSION: The frequency of hypoglycemia, HbA1c level, capillary glucose, daily carbohydrates intake decreased, while the total daily insulin dose, daily bolus insulin and total GMS score increased with the use of FGM scanning for 12 weeks.

The Potential Impact of the FreeStyle Libre Flash Glucose Monitoring System on Mental Well-Being and Treatment Satisfaction in Patients with Type 1 Diabetes: A Prospective Study.

INTRODUCTION: This study assessed the treatment satisfaction and sense of well-being attained when patients with type 1 diabetes use the FreeStyle Libre flash glucose monitoring system (FSL; Abbott Diabetes Care, Inc., Alameda, CA, USA). METHODS: A 12-week prospective study was conducted from January 2018 to May 2018 at the Diabetes Treatment Center, Prince Sultan Military Medical City, Riyadh, Saudi Arabia. Study participants (aged 14-21 years) were treated for type 1 diabetes with an insulin pump (IP) (n = 10) or multiple dose injections (MDI) (n = 23), and used the conventional finger-pricking method for glucose self-testing. At the baseline visit, FSL sensors were placed on each participant by a trained diabetes educator. At baseline and 12 weeks, a trained interviewer administered the Arabic version of the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and the WHO-5 Well-Being Index (WHO-5) (1998 version) questionnaire. RESULTS: As compared with the baseline, positive differences were found after 12 weeks of FSL use for all of the items in the DTSQ (p < 0.001) and the WHO-5 questionnaire (p < 0.001). The overall score for the DTSQ improved from a mean (SD) of 14.4 ± 6.5 at baseline to 32.1 ± 1.8 at 12 weeks. For the WHO-5 questionnaire, the overall well-being percentage score improved from 45.1% at baseline to 93.6% at 12 weeks (p < 0.001). CONCLUSION: Use of the FSL along with IP or MDI led to higher treatment satisfaction and a greater sense of mental well-being compared with the baseline conventional finger-pricking method. FUNDING: No funding or sponsorship was received for this study. The article processing charges were funded by Abbott Diabetes Care.

Clinical Characteristics and Satisfaction of Liraglutide Treatment among Patients with Type 2 Diabetes: A Prospective Study.

BACKGROUND: Evaluation of patient-reported results, treatment satisfaction, in particular, is popularly gaining recognition as crucial to the assessment of the efficiency of new therapies. The aim of this study is to examine the clinical features and treatment satisfaction with liraglutide in insulin-dependent obese patients having uncontrolled diabetes. METHODS: A prospective study was performed for 12 weeks using 64 type 2 diabetes (T2D) patients, 30 to 70 years of age, who came in for treatment to the Diabetes Treatment Center in Prince Sultan Military Medical City, Riyadh, Saudi Arabia, from November 2017 to July 2018. All the patients enrolled in this study were given liraglutide in addition to their existing treatment. For the first week, they were subcutaneously administered 0.6 mg once per day, which was gradually raised to 1.2 mg after 1 week, and the final given dose went up to 1.8 mg per day until the study period was completed. Purposive and suitable selection of the respondents was performed at their convenience. They were interviewed adopting the Diabetes Treatment Satisfaction Questionnaire (Arabic version) at baseline and after 12 weeks. Besides, the clinical variables like hemoglobin A1c (HbA1c), fasting blood sugar (FBS), total daily insulin dose (TDD), number of injections, and hypoglycemia/weeks were also recorded at baseline and at the end of the study. RESULTS: In comparison with the baseline values, notable positive differences were identified in the domains of treatment satisfaction, namely, satisfied with current treatment (P = .0001), frequency of perceived hyperglycemia (P = .0001), frequency of perceived hypoglycemia (P = .0001), convenience of current treatment (P = .0001), understanding diabetes (P = .0001), recommend the current treatment (P = .018), and continue the present treatment (P = .0001) when the study is completed. After 12 weeks, the addition of liraglutide to the existing treatment showed significant positive changes on FBS (P = .0001), HbA1c (P = .001), TDD (P = .0001), number of injections (P = .0001), documented hypoglycemia/weeks (P = .0005), and body weight (P = .0001) in comparison with the baseline values. CONCLUSIONS: The addition of liraglutide to the existing treatment raised the level of treatment satisfaction and minimized the frequency of hypoglycemic/hyperglycemic events apart from the other clinical variables.

Skin-Related Complications Among Adolescents With Type 1 Diabetes Using Insulin Pump Therapy.

BACKGROUND: To identify the skin-related complications in adolescents with type 1 diabetes (T1D) using the insulin pump therapy (IPT). METHODS: A total of 64 T1D adolescents (between ages 13 and 19) using the insulin pump were included in this cross-sectional study. They had visited the Diabetes Clinic at Diabetes Treatment Center, Prince Sultan Military Medical City, Saudi Arabia, for treatment from January 2018 to March 2018. Data on the prior and present skin-related complications, for a 6-month interval, were gathered via a closed/structured questionnaire. Besides this, demographic information was also recorded. RESULTS: From the patients in this study (n = 64), 9.3% experienced 3 or more skin-related complications, whereas 7.8% patients registered 2 and 25% had only 1 such disorder. However, in 37 patients (51.8%), there was no evidence of skin-related complications. Significantly, the female revealed a higher level of issues (P = .036), >3 years on IPT (P = .039), negligence of infusion set rotation (P = .001), needle length of 9 mm (P = .021), and beyond 3 days for catheter replacement (P = .022). The factors age, body mass index, diabetes duration, and insulin dosage remained quite unaffected. From the regression analysis, the factors female gender, catheter replacement, and infusion set rotation showed up as the independent risk factors for the skin complications. CONCLUSIONS: The IPT users invariably experience dermatologic conditions. Through this study, female gender, length of IPT usage time, and infusion set rotations were identified as the independent risk factors responsible for the skin issues.