Blood Glucose Readings Research Articles

Data-driven curation process for describing the blood glucose management in the intensive care unit

Analysis of real-world glucose and insulin clinical data recorded in electronic medical records can provide insights into tailored approaches to clinical care, yet presents many analytic challenges. This work makes publicly available a dataset that contains the curated entries of blood glucose readings and administered insulin on a per-patient basis during ICU admissions in the Medical Information Mart for Intensive Care (MIMIC-III) database version 1.4. Also, the present study details the data curation process used to extract and match glucose values to insulin therapy. The curation process includes the creation of glucose-insulin pairing rules according to clinical expert-defined physiologic and pharmacologic parameters. Through this approach, it was possible to align nearly 76% of insulin events to a preceding blood glucose reading for nearly 9,600 critically ill patients. This work has the potential to reveal trends in real-world practice for the management of blood glucose. This data extraction and processing serve as a framework for future studies of glucose and insulin in the intensive care unit.

Incidence and control of steroid-induced hyperglycaemia in hospitalised patients at a tertiary care centre for lung diseases.

BackgroundThe aim of this study was to determine the incidence of steroid-induced hyperglycaemia (SIH) in patients hospitalised at the tertiary centre for lung diseases, to assess glycaemic control during hospitalisation, and to determine the factors associated with the control of SIH.MethodsA 4-month retrospective study was conducted. All patients who received systemic glucocorticoids for ≥ 2 days during hospitalisation, with ≥ 2 elevated blood glucose (BG) readings, were included in the analysis. SIH control was determined by mean BG levels, the number and proportion of elevated and pronouncedly elevated BG readings, and the number of hypoglycaemic events.Results60 of 283 patients (21.2%) developed SIH, of which 55 patients were included in further analysis. Mean fasting and daytime BG levels were 7.8 ± 2.9 mmol/l and 10.9 ± 2.2 mmol/l, respectively. 41/55 patients (74.5%) had elevated average BG levels. 45/55 patients (81.8%) had > 5 readings or > 20% of all readings exceeding hyperglycaemia threshold, and 33/55 patients (60.0%) had pronouncedly elevated BG levels on more than one occasion. 6/55 patients (10.9%) experienced more than one hypoglycaemic event or a severe hypoglycaemia. Only 9/55 patients (16.4%) achieved adequate SIH control according to all defined criteria. Pre-existing diabetes and longer duration of hospital treatment with low glucocorticoid dose were significantly associated with poorer glycaemic control (p < 0.001 and p = 0.003, respectively).ConclusionsAppropriate SIH management was demonstrated to be challenging. According to the defined criteria, adequate glycaemic control during hospitalisation was not achieved in the large majority of patients with SIH.Supplementary InformationThe online version contains supplementary material available at 10.1007/s43440-021-00234-2.

Diabetic hemiballismus in the context of euglycaemia

AbstractAn 84‐year‐old white British woman with a background history of type 2 diabetes, Alzheimer's dementia, gout and hypothyroidism presented with a four‐day history of sudden, involuntary left arm and left leg movements. She had venous blood glucose of 4.4mmol/L with normal pH on admission. She had normal inflammatory markers with no signs of acute infection. Initial computed tomography brain imaging showed a known stable meningioma with no acute haemorrhage or infarct. Of note she had an admission, six weeks prior, with falls and raised capillary blood glucose readings. On that admission, her HbA1c was noted to have increased to 146mmol/mol having been 57mmol/mol six months earlier. Her oral hypoglycaemic agents were up‐titrated. There was no documented episode of hyperosmolar hyperglycaemic state.Brain magnetic resonance imaging (MRI with contrast) showed right striatal T1 high signal typical of diabetes‐related hemiballismus. She was treated with tetrabenazine for two weeks which was stopped before discharge as there was complete resolution of involuntary arm and leg movements.Hemiballismus is a rare but well‐known complication of diabetes. It is typically seen in the setting of hyperglycaemia. Our patient presented with hemiballismus while euglycaemic in the setting of recent hyperglycaemia. Copyright © 2021 John Wiley &amp; Sons.

Evaluation of Dipeptidyl Peptidase-IV Inhibitor Use in Hospitalized Patients With Diabetes.

Glycemic control within goal blood glucose (BG) ranges is essential to minimize hospital complications for patients with type 2 diabetes mellitus (T2DM). Optimal treatment in the non-intensive care unit (ICU) setting includes a basal insulin containing regimen. Dipeptidyl peptidase-IV (DPP-IV) inhibitors have minimal hypoglycemia incidence and may be an appropriate bolus insulin replacement in the inpatient setting. To determine the effect of basal insulin plus DPP-IV inhibitor compared with basal plus bolus insulin in hospitalized patients with T2DM. This multicenter cohort study included adult patients with T2DM admitted to the non-ICU setting and prescribed either basal insulin plus DPP-IV inhibitor or basal plus bolus insulin. Propensity-score matching was performed for age, sex, Charlson Comorbidity Index, first BG reading during hospitalization, and hemoglobin A1C (A1C). The primary outcome was the difference in mean daily BG during hospitalization. Secondary outcomes included hospital length of stay (LOS), total daily dose (TDD) of insulin, hypoglycemic events, and mean daily BG in patients with an A1C >8%. A total of 105 patients were included in each group. Mean daily BG during hospitalization was lower in the basal insulin plus DPP-IV inhibitor group (199.3 ± 52.5 vs 213.6 ± 45.8 mg/dL; P = 0.04). There was a significant difference in hospital LOS (5 [interquartile range = 3-8] vs 6 [4-11] days; P = 0.02) and short-acting insulin TDD (11.6 ± 9.1 vs 20.5 ± 21.2 units; P < 0.001). No differences were observed in basal insulin TDD and hypoglycemia. There was no difference in mean daily BG in the subgroup analysis of patients with a A1C >8%. A significant difference in mean daily BG and hospital LOS was found with a basal insulin plus DPP-IV inhibitor regimen. Use of a DPP-IV inhibitor to replace bolus insulin in hospitalized patients with T2DM should be considered.

Caregiver’s Opinions on the Design of the Screens of a Future Gamified Mobile Application for Self-Management of Type 1 Diabetes in Children in Saudi Arabia

The objective of this study was to design the screens of a future gamified mobile application for self-management of type 1 diabetes in children based on the opinion of caregivers at the King Fahad Hospital Diabetes Center, Saudi Arabia. To achieve this objective, a questionnaire was designed and distributed among 100 caregivers through face-to-face communication and social media using a Google Forms link. 65% of the participants met the inclusion criteria. The main result of this study was the design of 13 screens of a gamified application for self-management of type 1 diabetes in children from Saudi Arabia. The key features of the screens were caring for a character; using a challenging friend; inclusion of points, level, and leaderboard as rewarding principles; use of reminders and notifications for doctor's appointments, insulin injection times, blood glucose readings; and tips for improving medication adherence, increasing blood glucose readings, supporting physical activities, and adopting healthy eating habits. It can be concluded that the practical implementation of the screens in a future mobile application can motivate children with type 1 diabetes to improve eating habits, physical exercise, and cognitive, emotional, and social behaviors to maintain a stable state of health. Also, the content of the designed screens can help to monitor blood glucose readings and comply with medication treatment. The designed screens are adapted to the Arab culture.

Hyperglycemia Risk Evaluation of Hydrocortisone Intermittent Boluses vs Continuous Infusion in Septic Shock: A Retrospective Study.

IntroductionHydrocortisone showed to be effective in reducing the time until reversal of shock when added to standard therapy in managing septic shock. Hyperglycemia is one of the common adverse effects associated with corticosteroid treatment. However, the difference in hyperglycemia risk with different methods of hydrocortisone administration is not clear. The objective of this study was to evaluate the risk of hyperglycemia of intermittent hydrocortisone boluses vs continuous infusion in septic shock patients.Materials and methodsThis was a retrospective observational study. Data were collected from the electronic medical records of eligible patients admitted to intensive care units. All patients admitted with septic shock who received noradrenaline and hydrocortisone were included. Only patients who exceeded 200 mg/day of hydrocortisone were excluded. The primary outcome was mean blood glucose.ResultsA total of 108 patients (with 3,021 blood glucose readings) were included in the final analysis. Seventy-six patients received hydrocortisone as intermittent boluses (70.3%), and 32 patients (29.7%) received continuous infusion. For the primary outcome, no statistically or clinically significant difference was found in the blood glucose estimated marginal mean: 8.58 mmol/L (95% confidence interval [CI]; 8.01–9.16) in the bolus group and 8.9 mmol/L (95% CI; 7.99–9.82) in the infusion group with a mean difference of 0.32 mmol/L (95% CI; −0.77 to 1.41). For secondary outcomes, no difference was found between the two groups in mortality, length of stay, reversal of shock, or hypoglycemic events.ConclusionIntermittent boluses of hydrocortisone were not associated with a higher risk of hyperglycemia than continuous infusion in septic shock patients.How to cite this articleMitwally H, Saad MO, Mahmoud S, Mohamed A. Hyperglycemia Risk Evaluation of Hydrocortisone Intermittent Boluses vs Continuous Infusion in Septic Shock: A Retrospective Study. Indian J Crit Care Med 2021;25(1):29–33.

Evaluation of optimum diabetes care on glycemic control of patients with gestational diabetes during Ramadan fasting

AimsThere is limited evidence that evaluates the impact of fasting during Ramadan in pregnant women. We explored the safety of fasting in Gestational Diabetes Mellitus (GDM) in Ramadan, while understating the glycemic variability. Methods25 patients with GDM who choose to fast, were enrolled and provided optimum care that included Ramadan focused education and FreeStyle LibreFlashContinuous Glucose Monitoring(FSL-CGM) was utilized for 2–4 weeks assessment period of non-Ramadan days plus 2–3 weeks during Ramadan and medication adjustment. ResultsThe average glucose improved significantly, while time in target and percent above target numerically improved during Ramadan compared to pre-Ramadan. There was significant increment on the number of hypoglycemic events in Ramadan. The average lowest blood glucose reading reduced significantly by 14 mg/dL with average duration of hypoglycemic events increased significantly by 38.5 min. ConclusionOur study reinforces the importance of structured education before Ramadan to deliver optimal care for the management of diabetes. Strikingly FSL-CGM demonstrated that hypoglycemia is significantly increased during Ramadan Fasting. There was effective reflection of hyperglycemic spikes, immediately post Iftar. The results corroborated with the earlier studies for higher frequency of hypoglycemia during Ramadan fasting, under similar standards of care in high-risk patients with diabetes.

Impact of COVID-19 lockdown on glycemic control in children and adolescents.

Objectives:To identify how children and adolescents with type 1 diabetes were coping with their condition during the COVID-19 lockdown, by detecting differences in blood glucose control and in lifestyle, including diet, physical activity, and mood deterioration, before and during the lockdown.Methods:This descriptive, cross-sectional study was conducted between April and June 2020 at King Abdulaziz University Hospital (KAUH), Jeddah, Saudi Arabia. Data were collected from interviews, using various forms of telecommunication.Results:The total sample size was 150 patients, 48 (28%) of whom were males and 102 (72%) females. The mean age of the patients was 12.45 years. The lockdown was associated with a significant increase in patients’ weight (p=0.001), body mass index (p=0.001), and blood glucose readings (p=0.007) compared to their values before the lockdown.Conclusion:A negative impact of the COVID-19 lockdown was found on blood glucose values and BMI, which may correlate with a lack of physical activity, increased consumption of carbohydrates and fast food, and mood deterioration.

Optimal Blood Glucose Monitoring Interval for Insulin Infusion in Critically Ill Non-Cardiothoracic Patients: A Pilot Study.

Objective:The American Diabetes Association and the Society of Critical Care Medicine recommend monitoring blood glucose (BG) every 1-2 hours in patients receiving insulin infusion to guide titration of insulin infusion to maintain serum glucose in the target range; however, this is based on weak evidence. We evaluated the compliance of hourly BG monitoring and relation of less frequent BG monitoring to glycemic status.Materials and Methods:Retrospective chart review performed on 56 consecutive adult patients who received intravenous insulin infusion for persistent hyperglycemia in the ICU at Saint Vincent Hospital, a tertiary care community hospital an urban setting in Northeast region of USA. The frequency of fingerstick blood glucose (FSBG) readings was reviewed for compliance with hourly FSBG monitoring per protocol and the impact of FSBG testing at different time intervals on the glycemic status. Depending on time interval of FSBG monitoring, the data was divided into three groups: Group A (<90 min), Group B (91-179 min) and Group C (≥180 min).Results:The mean age was 69 years (48% were males), 77% patients had preexisting type 2 diabetes mellitus (T2DM). The mean MPM II score was 41. Of the 1411 readings for BG monitoring on insulin infusion, 467 (33%) were in group A, 806 (57%) in group B and 138 (10%) in group C; hourly BG monitoring compliance was 12.6%. The overall glycemic status was similar among all groups. There were 14 (0.99%) hypoglycemic episodes observed. The rate of hypoglycemic episodes was similar in all three groups (p=0.55).Conclusion:In patients requiring insulin infusion for sustained hyperglycemia in ICU, the risk of hypoglycemic episodes was not significantly different with less frequent BG monitoring. The compliance to hourly blood glucose monitoring and ICU was variable, and hypoglycemic episodes were similar across the groups despite the variation in monitoring.Significance of the Study:The importance of glycemic control in ICU has been well established and it is a resource intensive venture. However, there are no major studies highlighting the most optimal time interval for blood glucose checks in critically ill patients on insulin infusion. With this study we hypothesize that time duration between blood glucose checks can be increased safely without any untoward effects. Our study provides evidence for effective resource management with reducing the time spent with every glucose check and directly translating into high value care.

Parenteral nutrition-associated hyperglycemia: Prevalence, predictors and management.

Hyperglycemia is among the common complications of parenteral nutrition (PN) and is often associated with increased mortality despite being treatable. Studies of parenteral nutrition causing hyperglycemia are limited and even available studies lack methodological conduct. This study aimed to evaluate the prevalence, predictors and management of PN-associated hyperglycemia (PN-AH). A retrospective study was conducted at a tertiary hospital. Patients≥18 years old who received parenteral nutrition from 2015 to 2018 were conveniently selected. The demographic data, diagnosis, clinically relevant data, blood glucose readings and management of hyperglycemia were gathered from electronic medical records. Among 300 patients included in the study, 140 (46.7%) reported the PN-AH events. Multivariate logistic regression analysis showed female sex, Malay ethnicity, underlying type 2 diabetes mellitus, liver impairment, elevated pre-PN glucose level>180mg/dL and ICU admission were independently associated with hyperglycemia (p<0.05 for all variables). Furthermore, factors such as ICU admission, underlying diabetes mellitus and hyperglycemia before starting PN, cause earlier development of PN-AH. More frequent monitoring of PN was observed in the ICU, guided by a protocol, as compared to the non-ICU setting. The prevalence of PN-AH is a significant complication to require medical attention. The predictors such as female gender, Malay ethnicity, underlying Diabetes Mellitus, liver impairment, hyperglycemia before starting PN, and ICU admission should be applied in clinical settings to improve the detection of PN-AH. A guideline outlining the risk factors, monitoring strategies and treatment plans should be developed to improve the detection and management of PN-AH.

Relationship Between Diabetes, Stress, and Self-Management to Inform Chronic Disease Product Development: Retrospective Cross-Sectional Study

BackgroundTechnology is rapidly advancing our understanding of how people with diabetes mellitus experience stress.ObjectiveThe aim of this study was to explore the relationship between stress and sequelae of diabetes mellitus within a unique data set composed of adults enrolled in a digital diabetes management program, Livongo, in order to inform intervention and product development.MethodsParticipants included 3263 adults under age 65 who were diagnosed with diabetes mellitus and had access to Livongo through their employer between June 2015 and August 2018. Data were collected at time of enrollment and 12 months thereafter, which included demographic information, glycemic control, presence of stress, diabetes distress, diabetes empowerment, behavioral health diagnosis, and utilization of behavioral health-related medication and services. Analysis of variance and chi-square tests compared variables across groups that were based on presence of stress and behavioral health diagnosis or utilization.ResultsFifty-five percent of participants (1808/3263) reported stress at the time of at least 1 blood glucose reading. Fifty-two percent of participants (940/1808) also received at least 1 behavioral health diagnosis or intervention. Compared to their peers, participants with stress reported greater diabetes distress, lower diabetes empowerment, greater insulin use, and poorer glycemic control. Participants with stress and a behavioral health diagnosis/utilization additionally had higher body mass index and duration of illness.ConclusionsStress among people with diabetes mellitus is associated with reduced emotional and physical health. Digital products that focus on the whole person by offering both diabetes mellitus self-management tools and behavioral health skills and support can help improve disease-specific and psychosocial outcomes.

Evaluation of the Efficacy and Safety of an eGlycemic Management System in a Community Hospital Setting.

Glucommander is an eGlycemic management system (eGMS) for intravenous (IV) and subcutaneous (SQ) insulin therapy in hospitalized patients. The purpose of this study was to evaluate the efficacy and safety of Glucommander compared to previously utilized nomograms in the community hospital setting. This study was a retrospective, single-center cohort study comparing measures of efficacy and safety of IV and SQ insulin therapy via eGMS versus nomogram-driven IV insulin therapy followed by provider-ordered basal-bolus SQ insulin. The primary efficacy endpoint was percent of blood glucose (BG) readings per patient in target glycemic range. Safety objectives were percent of hyperglycemic events, hypoglycemic events, and severe hypoglycemic events after achieving target blood glucose range, and mean number of each event per patient. The percentage of BG readings in range was significantly higher for eGMS patients (n = 110) than comparison cohort patients (n = 108, 84.6% vs 76.8%, P < .001). Hyperglycemic events occurred for significantly fewer patients in the eGMS cohort relative to the comparison cohort (81.8% vs 92.6%, P = .03). Overall, there was no significant difference between cohorts in rate of hypoglycemic events, but hypoglycemic events while on IV insulin occurred in a significantly higher percentage of eGMS cohort patients than comparison cohort patients (30.9% vs 15.7%, P < .01). There were no significant differences in incidence of severe hypoglycemic events. Our study found that Glucommander maintained a higher percentage of BG readings in target BG range per patient compared to previously utilized nomograms. This result was driven by an improvement in hyperglycemia, but not hypoglycemia.

Design of meal intake prediction for gestational diabetes mellitus using genetic algorithm

Gestational diabetes mellitus (GDM) is frequently described as glucose intolerance for pregnancy women. GDM patients currently practice the traditional method (record book) for recording blood glucose readings and keeping track of meal intake. This practice is not efficient and impractical for monitoring glucose level for GDM patients when we compared with mobile health monitoring technologies available today. Although, many applications have been developed for diabetes patients, but we do not found any application appropriate for GDM monitoring. In this study, we describe the design and development of mobile application for GDM monitoring using genetic algorithm that aims to predict recommended meal intake. We developed the mobile application for the GDM patients to maintain their blood glucose level through their meals. We tested the components of the mobile application and found that the prediction algorithm has successfully predicted the next meal intake according to the patient blood glucose levels. We hope this study will encourage research on development of selfmonitoring applications to improve blood glucose control for GDM.

The phytochemical and pharmacological screening of three crude extracts of Desmodium canum (strong back)

IntroductionDesmodium canum (Strong Back) is deemed a versatile traditional medicine, where it is used to treat diabetes, hypertension, asthma and erectile dysfunction.AimTo identify the various phytochemicals present within extracts of D. canum, their antioxidant capabilities and their effects on blood glucose levels, haemodynamic parameters and testosterone levels in healthy Sprague-Dawley (S-D) rats.MethodCrude extracts were obtained using hexane, ethyl acetate and methanol. These were analysed for various phytochemicals and their antioxidant potential assessed using the 2,2-diphenyl-1picrylhydrazyl (DPPH) method. The extracts were investigated for hypoglycaemic potential using the Oral Glucose Tolerance Test (OGTT), where extracts were administered intravenously (50 mg/kg BW) to fasted rats and their blood glucose readings monitored at 30 min intervals. The hypotensive effect of the extracts were also investigated where rats were administered intravenously at 50 mg/kg BW. These haemodynamic parameters were monitored using the CODA 6 machine at 5 min intervals for a total of 20 min. Additionally, the effect on testosterone level was investigated in male rats where extracts were administered daily by oral gavage. Serum testosterone levels were then determined using an ELISA kit.ResultsThe different extracts showed varying phytochemical and pharmacological properties. The methanol extract showed antioxidant capabilities, while the ethyl acetate extract showed significant hypoglycaemic and hypotensive effects when compared with the control. The hexane extract showed significant activity in increasing the testosterone when compared with the control.ConclusionD. canum extracts showed significant pharmacological activities in normal Sprague- Dawley rats.

Enabling equality of employment with insulin treated diabetes in safety‐critical occupations

Enabling equality of employment with insulin treated diabetes in safety‐critical occupations

Insulin Infusion Computer Calculator Programmed Directly Into Electronic Health Record Medication Administration Record.

Computerized insulin infusion protocols have demonstrated higher staff satisfaction, better compliance with protocols, and increased time with glucose in range compared to paper protocols. At University of California San Diego Health (UCSDH), we implemented an insulin infusion computer calculator (IICC) and transitioned it from a web-based platform directly into the electronic medication administration record (eMAR) of our primary electronic health record (EHR). This is a retrospective analysis of 6306 adult patients at UCSDH receiving intravenous (IV) insulin infusion from March 7, 2013 to May 30, 2019. We created three periods of the study-(1) the pre-eMAR integration period; (2) the eMAR integration period; and (3) the post-eMAR integration period-and looked at the percentage of readings within goal range (90-150 mg/dL for intensive care unit [ICU], 90-180 mg/dL for non-ICU) in patients with and without hyperglycemic emergencies. As our safety endpoints, we elected to look at incidence of blood glucose (BG) readings <70 mg/dL, <54 mg/dL, and <40 mg/dL. Pre-eMAR 69.8% of readings were in the 90-150 mg/dL range compared to 70.2% post-eMAR (P = .03) and 82.7% of readings were in the 90-180 mg/dL range pre-eMAR versus 82.9% (P = .09) post-eMAR in patients without hyperglycemic emergencies. Rates of hypoglycemia with BG <70 mg/dL were 0.43%, <54 mg/dL were 0.07%, and <40 mg/dL were 0.01% of readings pre- and post-eMAR. At UCSDH, our IICC has shown to be safe and effective in a wide variety of clinical situations and we were able to successfully transition it from a web-based platform directly into the eMAR of our primary EHR.

Evaluation of Dipeptidyl Peptidase-IV Inhibitor Use in the Inpatient Setting

Background: The American Diabetes Association recommends discontinuing non-insulin antihyperglycemic therapy during hospitalization and utilizing a basal insulin-containing regimen for patients with type 2 diabetes mellitus (T2DM). Limited research is available on the role of dipeptidyl peptidase-IV (DPP-IV) inhibitors in an inpatient real-world patient population. Objective: To determine the efficacy of DPP-IV inhibitor therapy in hospitalized patients with T2DM. Methods: Adult patients with T2DM and received at least one dose of DPP-IV inhibitor during hospitalization were included. The primary outcome was to determine the mean daily blood glucose (BG) readings in the overall patient population. Secondary outcomes included comparing study groups and evaluating mean daily blood glucose, hospital length of stay (LOS) and incidence of hypoglycemia. Results: One hundred and ninety-two patients were identified: 39 patients (20.3%) received DPP-IV inhibitor monotherapy, 104 (54.2%) received DPP-IV inhibitor plus oral antihyperglycemics and 49 (25.5%) received DPP-IV inhibitor plus insulin. Mean daily BG in the entire study population was 158.7 mg/dL (131-187.5). Mean daily BG was significantly different between groups (117 mg/dL [103.5-132.3] vs. 160.7 mg/dL [133-181.1] vs. 179.4 mg/dL [153.8-216.6]; (P < 0.001). Hypoglycemic events were higher in the DPP-IV inhibitor plus insulin group (2.6% vs. 3.8% vs. 16.3%; P = 0.008). There were no significant differences in hospital LOS (2 days [1-4] vs. 3 days [1-5] vs. 4 days [2-6.5]; P = 0.051). Conclusions: Inpatient DPP-IV inhibitor use was associated with mean daily BG within goal range. Administering DPP-IV inhibitors in the inpatient setting should be considered in hospitalized patients with controlled T2DM.

Type 2 Diabetes Risk in Older Adults Living in Social Housing: A Cross-Sectional Study

ObjectivesThis study aimed to describe the risk of developing diabetes and the probable prevalence of diabetes and prediabetes in residents of subsidized or social housing who were 55 years of age or older. MethodsWe conducted a cross-sectional study using data collected from an ongoing community health program in social housing buildings—the Community Paramedicine at Clinic (CP@clinic) program. Community paramedics staffing the CP@clinic program conducted lifestyle-related modifiable risk factor assessments of participating social housing residents who were 55 years of age or older. The Canadian Diabetes risk assessment (CANRISK) tool was administered to all participants, and those with moderate-to-high risk of developing diabetes were asked to return for a fasting capillary blood glucose (CBG) measurement. Data were collected from program participants who attended the sessions between December 2014 and May 2018. ResultsThere were 728 participants. Most were women (80.5%), aged 65 to 84 (68.1%), white (85.4%) and educated to the high school level or less (69.2%). At baseline, 71.3% were identified as having overweight or obesity, and 12.5% were diagnosed with diabetes. Of participants not diagnosed with diabetes (N=632), 66.6% were at high risk of developing diabetes, and 30.1% were categorized as moderate risk. The CBG assessments showed that 37.7% (N=158) of those with high risk and 22.0% (N=42) of those with moderate risk had blood glucose readings indicating impaired fasting glucose or probable diabetes. ConclusionsThis study shows that 96.7% of low-income older adults in social housing buildings had moderate-to-high risk of developing diabetes and that the probable prevalence of undiagnosed prediabetes and diabetes was 32.0%.

Patient Portal, Patient-Generated Images, and Medical Decision-Making in a Pediatric Ambulatory Setting.

Electronic health record (EHR) patient portals are a secure electronic method of communicating with health care providers. In addition to sending secure messages, images, and videos generated by families can be sent to providers securely. With the widespread use of smart phones, there has been an increase in patient-generated images (PGI) sent to providers via patient portals. There are few studies that have evaluated the role of PGI in medical decision-making. The study aimed to characterize PGI sent to providers via a patient portal, determine how often PGI-affected medical decision-making, and determine the rate of social PGI sent via patient portal. A retrospective chart review of PGI uploaded to a children's hospital's ambulatory patient portal from January 2011 to December 2017 was conducted. Data collected included patient demographics, number and type of images sent, person sending images (patient or parent/guardian), and whether an image-affected medical decision-making. Images were classified as medical related (e.g., blood glucose readings and skin rashes), nonmedical or administrative related (e.g., medical clearance or insurance forms), and social (e.g., self-portraits and camp pictures). One hundred forty-three individuals used the portal a total of 358 times, sending 507 images over the study period. Mean (standard deviation) patient age was 9.5 (5.9) years, 50% were females, 89% were White, and 64% had private insurance. About 9% of images were sent directly by patients and the rest by parents/guardians. A total of 387 (76%) images were sent for medical related reasons, 20% for nonmedical, and 4% were deemed social images. Of the 387 medical related images, 314 (81%) affected medical decision-making. PGI-affected medical decision-making in most cases. Additional studies are needed to characterize use of PGI in the pediatric population.

A Deep Neural Network Application for Improved Prediction of [Formula: see text] in Type 1 Diabetes.

[Formula: see text] is a primary marker of long-term average blood glucose, which is an essential measure of successful control in type 1 diabetes. Previous studies have shown that [Formula: see text] estimates can be obtained from 5-12 weeks of daily blood glucose measurements. However, these methods suffer from accuracy limitations when applied to incomplete data with missing periods of measurements. The aim of this article is to overcome these limitations improving the accuracy and robustness of [Formula: see text] prediction from time series of blood glucose. A novel data-driven [Formula: see text] prediction model based on deep learning and convolutional neural networks is presented. The model focuses on the extraction of behavioral patterns from sequences of self-monitored blood glucose readings on various temporal scales. Assuming that subjects who share behavioral patterns have also similar capabilities for diabetes control and resulting [Formula: see text], it becomes possible to infer the [Formula: see text] of subjects with incomplete data from multiple observations of similar behaviors. Trained and validated on a dataset, containing 1543 real world observation epochs from 759 subjects, the model has achieved the mean absolute error of 4.80 [Formula: see text]mmol/mol, median absolute error of 3.81 [Formula: see text]mmol/mol and [Formula: see text] of 0.71 ± 0.09 on average during the 10 fold cross validation. Automatic behavioral characterization via extraction of sequential features by the proposed convolutional neural network structure has significantly improved the accuracy of [Formula: see text] prediction compared to the existing methods.