UNASSIGNED: The prediction of the individual insulin needs may facilitate the initiation of insulin therapy. Our aim was to explore the relationships between body weight, sex, and daily amounts of insulin delivered by a hybrid closed-loop system.
UNASSIGNED: We performed a retrospective data collection of all consenting adult patients with type 1 diabetes who were equipped in Europe with the Diabeloop Generation 1 (DBLG1) hybrid closed-loop insulin delivery device between March 1, 2021 and February 28, 2023.
UNASSIGNED: A total of 9036 users (59% females, age 45.6 ± 14.3 years) were included, reaching a mean follow-up of 320 ± 143 days, an overall 2 887 188 days of data. We observed a mean insulin-weight ratio of 0.617 ± 0.207 U/kg (0.665 ± 0.217 for males and 0.584 ± 0.193 for females, P < .001). Exploratory analysis of a subset of 4066 patients reaching >70% Time in Range (70-180 mg/dL) showed a mean insulin-weight ratio of 0.55 ± 0.17 U/kg (P < .001) (0.59 ± 0.18 for the 1438 males and 0.53 ± 0.16 for the 2628 females).
UNASSIGNED: This large real-world analysis provides a quantitative estimation of the daily insulin requirements in adult patients with type 1 diabetes and shows significant differences between sex. These findings have relevant implications in the practical management of insulin therapy.

UNASSIGNED: Psychological insulin resistance (PIR), which refers to the reluctance of diabetic patients to use insulin, is a frequently encountered clinical issue. Needle-free injection (NFI) offers advantages in terms of expediting insulin absorption and mitigating adverse reactions related to injection. To evaluate the effects of subcutaneous injection of insulin aspart 30 with NFI on PIR and insulin dosage in patients with type 2 diabetes mellitus (T2DM).
UNASSIGNED: Sixty-four patients with T2DM participated in this randomized, prospective, open, crossover study. Insulin aspart 30 was administered subcutaneously to each subject via QS-P NFI and Novo Pen 5 (NP) successively. The effects of NFI on PIR were analyzed. Differences in insulin dosage, glycemic variability, and injection safety were compared at similar levels of glycemic control.
UNASSIGNED: After the administration of NFI, the insulin treatment attitude scale score decreased (53.7 ± 7.3 vs. 58.9 ± 10.7, p<0.001), the insulin treatment adherence questionnaire score increased (46.3 ± 4.9 vs. 43.8 ± 7.1, p<0.001), and the insulin treatment satisfaction questionnaire score increased (66.6 ± 10.5 vs. 62.4 ± 16.5, p<0.001). At the same blood glucose level, NFI required a smaller dosage of insulin aspart 30 compared with that of NP (30.42 ± 8.70 vs. 33.66 ± 9.13 U/d, p<0.001). There were no differences in glycemic variability indices (standard deviation, mean amplitude of glycemic excursion or coefficient of variation) between the two injection methods. Compared with NP, NFI did not increase the incidence of hypoglycemia (17.2% vs. 14.1%, p=0.774), and it decreased the incidence of induration (4.7% vs. 23.4%, p=0.002) and leakage (6.3% vs. 20.3%, p=0.022) while decreasing the pain visual analog scale score (2.30 ± 1.58 vs. 3.11 ± 1.40, p<0.001).
UNASSIGNED: NFI can improve PIR in patients with T2DM and be used with a smaller dose of insulin aspart 30 while maintaining the same hypoglycemic effect.
UNASSIGNED: https://www.chictr.org.cn/, identifier ChiCTR2400083658.

BACKGROUND: Inadequate production of Insulin can lead to a complex metabolic disorder named Diabetes Mellitus that is characterized by hyperglycaemia. Diabetes is leading metabolic disease that causes major disability and increased death-rate world-wide. Diabetes can cause neuropathy, blindness, ischaemic heart disease, peripheral vascular disease, increased risk of stroke, and renal diseases. Since the management of diabetes mellitus is complex, the reliance of some patients on their caregivers has increased. In this study, a caregiver is a family member or a paid helper who is willing to provide long-term assistance to a child, an older adult, or a person with a disability.
OBJECTIVE: The knowledge of caregivers about insulin doses (administration and adjustment) is determined and to study the correlation between the demographic data (age, gender, and marital status) and the knowledge of caregivers.
METHODS: This is a cross sectional type of descriptive study. A questionnaire was built based on literature review and was reviewed and validated by 17 arbitrators and modified accordingly. A pilot study was performed on 5 people of the targeted population to assess the feasibility, duration, and clarity of the data collection tool. The questionnaire was distributed online and had some extra questions to exclude non-relevant responses.
RESULTS: A total of 819 participants filled the online questionnaire. Out of these, 83.6% were female and 16.4% were male. The good knowledge was significantly associated with caregivers who had patients diagnosed with diabetes since less than 6 months when compared with others.
CONCLUSIONS: Caregivers who reported that they do not live with the healthcare receiver had less knowledge compared with those they live, and it is statically significant association. 55% were satisfied with their level of knowledge about insulin doses management. This study indicates who lives with patient has caregiver\'s knowledge on inulin dosages administration 1.766 times from who don\'t have.

The aim of this review was to investigate existing guidelines and scientific evidence on determining insulin dosage in people with type 1 and type 2 diabetes, and in particular to check whether the prandial insulin dose should be calculated based on glycemia or the meal composition, including the carbohydrates, protein and fat content in a meal. By exploring the effect of the meal composition on postprandial glycemia we demonstrated that several factors may influence the increase in glycemia after the meal, which creates significant practical difficulties in determining the appropriate prandial insulin dose. Then we reviewed effects of the existing insulin therapy regimens on glycemic control. We demonstrated that in most existing algorithms aimed at calculating prandial insulin doses in type 1 diabetes only carbohydrates are counted, whereas in type 2 diabetes the meal content is often not taken into consideration. We conclude that prandial insulin doses in treatment of people with diabetes should take into account the pre-meal glycemia as well as the size and composition of meals. However, there are still open questions regarding the optimal way to adjust a prandial insulin dose to a meal and the possible benefits for people with type 1 and type 2 diabetes if particular parameters of the meal are taken into account while calculating the prandial insulin dose. The answers to these questions may vary depending on the type of diabetes.

The aim of this work was to assess the accuracy of automatic macronutrient and calorie counting based on voice descriptions of meals provided by people with unstable type 1 diabetes using the developed expert system (VoiceDiab) in comparison with reference counting made by a dietitian, and to evaluate the impact of insulin doses recommended by a physician on glycemic control in the study’s participants. We also compared insulin doses calculated using the algorithm implemented in the VoiceDiab system. Meal descriptions were provided by 30 hospitalized patients (mean hemoglobin A1c of 8.4%, i.e., 68 mmol/mol). In 16 subjects, the physician determined insulin boluses based on the data provided by the system, and in 14 subjects, by data provided by the dietitian. On one hand, differences introduced by patients who subjectively described their meals compared to those introduced by the system that used the average characteristics of food products, although statistically significant, were low enough not to have a significant impact on insulin doses automatically calculated by the system. On the other hand, the glycemic control of patients was comparable regardless of whether the physician was using the system-estimated or the reference content of meals to determine insulin doses.

BACKGROUND: Distal pancreatectomy (DP) is carried out for resection of lesions in the body and tail of the pancreas. DP may lead to both insulin and glucagon deficiency, which may worsen diabetes mellitus and render patients more vulnerable to severe hypoglycemia. Maintaining glycemic control can be challenging after DP, and no guidelines have been established for clinicians. The objective of this study was to investigate postoperative glycemic control and insulin dose among patients after DP.
METHODS: The medical records from 82 eligible adult patients after DP between 2013 and 2014 were reviewed retrospectively.
RESULTS: Twenty-one (25.6%) patients had pre-existing diabetes. The average length of stay was 5.8 ± 2.6 days. The average resected volume was 193 ± 313 cm3. Of 2124 blood glucose (BG) values, only 0.3% were <70 mg/dL (3.9 mmol/L); 45% were 140-180 mg/dL (7.8-10.0 mmol/L); and 14% were >180 mg/dL. Postoperatively, insulin was the most common agent prescribed for glycemic control. Among those who received insulin, 86.8% used rapid-acting correction insulin, 4.4% prandial insulin, and 8.8% long-acting insulin. On postoperative day 1 through 6 and on the day before hospital discharge, <30% of patients received insulin, and a total daily dose (TDD) of <0.10 units/kg was frequently needed for glycemic control. At discharge, 35.3% of patients with pre-existing diabetes improved; 23.2% required diabetic medications, of whom 50% took insulin. Only 2 patients without pre-existing diabetes required medications.
CONCLUSIONS: Postoperative BG levels were relatively well controlled. The majority of BG levels were in the optimal range, and the incidence of hypoglycemia or clinically significant hypoglycemia was minimal with our current regimen. Postoperative patients required small TDD of insulin for glycemic control. Our data suggested that 0.05-0.20 units/kg was an appropriate dose range for postoperative glycemic control among the vulnerable population. Our findings provide guidance for clinicians to dose insulin safely for postoperative patients with DP in a hospital setting.

To investigate the effect of initial insulin dosage on blood glucose (BG) dynamics, β-cell protection, and oxidative stress in type 1 diabetes mellitus.
Sixty newly diagnosed type 1 diabetes mellitus patients were randomly assigned to continuous subcutaneous insulin infusions of 0.6 ± 0.2 IU/kg/d (group 1), 1.0 ± 0.2 IU/kg/d (group 2), or 1.4 ± 0.2 IU/kg/d (group 3) for 3 wk. BG was monitored continuously for the first 10 d and the last 2 d of wk 2 and 3. A total of 24-hour urinary 8-iso-PGF2α was assayed on days 8, 9, and 10. The occurrence and duration of the honeymoon period were recorded. Fasting C-peptide and glycosylated hemoglobin (HbA1c) were assayed after 1, 6, and 12 months of insulin treatment.
BG decreased to the target range by the end of wk 3 (group 1), wk 2 (group 2), or wk 1 (group 3). The actual insulin dosage over the 3 wk, frequency of hypoglycemia on wk 1 and 2, and median BG at the end of wk 1 differed significantly, but not 8-iso-PGF2α and the honeymoon period in the three groups. No severe hypoglycemia event was observed in any patient, but there was significant difference in the first occurrence of hypoglycemia.
Differences in initial insulin dosage produced different BG dynamics in wk 1, equivalent BG dynamics on wk 2 and 3, but had no influence on short- and long-term BG control and honeymoon phase. The wide range of initial insulin dosage could be chosen if guided by BG monitoring.

Maintaining euglycemia for people with type 1 diabetes is highly challenging, and variations in glucose absorption rates with meal composition require meal type specific insulin delivery profiles for optimal blood glucose control. Traditional basal/bolus therapy is not fully optimized for meals of varied fat contents. Thus, regimens for low- and high-fat meals were developed to improve current insulin pump therapy. Simulations of meals with varied fat content demonstrably replicated published data. Subsequently, an insulin profile library with optimized delivery regimens under open and closed loop for various meal compositions was constructed using particle swarm optimization. Calculations showed that the optimal basal bolus insulin profiles for low-fat meals comprise a normal bolus or a short wave. The preferred delivery for high-fat meals is typically biphasic, but can extend to multiple phases depending on meal characteristics. Results also revealed that patients that are highly sensitive to insulin could benefit from biphasic deliveries. Preliminary investigations of the optimal closed-loop regimens also display bi- or multiphasic patterns for high-fat meals. The novel insulin delivery profiles present new waveforms that provide better control of postprandial glucose excursions than existing schemes. Furthermore, the proposed novel regimens are also more or similarly robust to uncertainties in meal parameter estimates, with the closed-loop schemes demonstrating superior performance and robustness.

BACKGROUND: There is no available glucose standard for whole blood. None of the various glucose controls can be used as standards (calibrators) for glucose meters or test strips. This article describes the need for a whole blood glucose standard for areas such as manufacturing or proficiency evaluations. Furthermore, it describes the performance of the standard developed by Streck. Implementation of a whole blood glucose reference standard may allow the manufacturers of products for the diabetes health care industry to reduce the level of systematic difference between true blood glucose values and those obtained by point-of-care (POC) glucose meters.
METHODS: Glucose agreement data were collected across four prominent POC glucose meters representing >97% of all meters reporting data in the 2006 College of American Pathologists survey. Glucose concentrations of whole blood were adjusted to replicate the concentrations contained in the blood glucose standard developed by Streck. Commercial glucose controls, provided by the respective strip manufacturer, remained unaltered and were tested in accordance with the manufacturer\'s recommendations.
RESULTS: Only slight variations in hematocrit, surface tension, and viscosity were measured over a period of 90 days with the Streck Blood Glucose Standard compared to fresh whole blood at time zero. Glucose measurements on whole blood and the blood glucose standard were in agreement for all four commonly used glucose meters. In contrast, there is a lack of agreement between a manufacturer\'s set of recommended aqueous-based glucose controls in measurements taken on their POC meter relative to the YSI. Finally, the blood glucose standard demonstrated stability in 35-day open- and 110-day closed-vial assessments.
CONCLUSIONS: Results of our experiments illustrate the ability of the blood glucose standard to closely mimic whole blood results. In addition, the blood glucose standard shows good open-vial and closed-vial stability at 6 degrees C.