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Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are increasingly initiated as treatment for type 2 diabetes due to favourable cardiorenal characteristics. However, studies have identified an increased risk of diabetic ketoacidosis (DKA). We carried out a retrospective, case-based study at East and North Herts NHS Trust between February 2018 and December 2020. Fifteen cases of SGLT2i associated DKA were identified in people with presumed type 2 diabetes;33.3% were classed as euglycaemic DKA with a blood glucose of <11mmol/L. All cases were associated with a significant precipitating factor including diarrhoea, vomiting, reduced oral intake and sepsis. One case was related to COVID-19. Two people were subsequently found to have raised islet autoantibodies suggesting type 1 diabetes or latent autoimmune diabetes in adults. It is important that awareness of SGLT2i associated DKA is raised among users and health care practitioners, including the recognition of euglycaemic DKA. Sick day rules should be emphasised and reiterated at clinical encounters. Non-specialists in primary care, oncology and in perioperative settings should be empowered to advocate for temporary withdrawal and there should be readier access to blood ketone monitoring when required. When SGLT2i associated DKA occurs, due consideration should be given to evaluate the diabetes classification and investigate the circumstances of the event. Copyright © 2023 John Wiley & Sons.Copyright © 2023 John Wiley & Sons, Ltd.
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Objective: Semaglutide is the first glucagon-like peptide- 1 receptor agonist with oral and subcutaneous formulations. We studied patient adherence and clinical response following their prescription in a primary care setting. Method(s): We searched for patients starting semaglutide between October 2020 to November 2021 in primary care registries in Dudley, West Midlands. We tracked their collection of medications for up to six months, changes in HbA1C and weight if these data were available at 26 weeks (range 22-52 weeks), with significance tested using a t-test. Patients prescribed both formulations were excluded. Result(s): Clinical data were available in 180 of the 443 patients. Baseline HbA1c was 79.0 +/- 18.6mmol/mol (Ozempic) and 81.9 +/- 19.3mmol/mol (Rybelsus) and pre-treatment weight was 108.4 +/- 10.5 kg (Ozempic) and 104.3 +/- 26.7 kg (Rybelsus). 62.8% of patients were of non-white ethnicity and 82.8% were on >= two anti-diabetic drugs. In patients with six-month follow-up data, mean reduction in HbA1c and weight was 17.1 +/- 20.8mmol/ mol and 3.9 +/- 6.2 kg (Ozempic n = 53, p < 0.01) and 18.2 +/- 14.5mmol/mol and 5.9 +/- 4.2 kg (Rybelsus n = 5, p < 0.05). Drug continuation rates were measured in 324 patients. 3.2% and 19.0% of patients for Ozempic and Rybelsus respectively did not obtain further prescriptions after their initial script. At six months, 87.2% continued with Ozempic and 57.2% with Rybelsus. Conclusion(s): This study demonstrates similarly significant reductions in HbA1c and weight with Ozempic and Rybelsus, despite the complexity of follow-up during Covid-19 restrictions. The lower adherence to Rybelsus warrants further study.
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The Royal College of Obstetrics and Gynaecology advocated replacing OGTT with HbA1c for gestational diabetes (GDM) screening for women with risk factors during the Covid-19 pandemic. HbA1c >=48mmol/mol/random plasma glucose (RPG) >=11.1mmol/l at booking indicated diabetes, and 41-47mmol/ mol/9-11mmol/ l prediabetes or possible GDM. Testing was repeated at 26 weeks if normal previously, with HbA1c >=39mmol/mol, fasting PG >=5.6mmol/l, or RPG >=9mmol/l diagnostic for GDM. A) At her clinic booking visit at 10 weeks gestation, 36 year-old South Asian female had HbA1c 55mmol/mol/RPG 9.5mmol/l suggesting undiagnosed type 2 diabetes. Initially managed with dietary advice and home blood glucose monitoring, metformin was added when self-monitored glucose above pregnancy targets (fasting and pre-meal <5.3mmol/l or 1 h post meal <7.8mmol/l) but insulin was required later. Metformin and insulin were stopped after delivery at 38 weeks with HbA1c 50mmol/mol three months postpartum, supporting the earlier diagnosis of type 2 diabetes. B) 32 year-old White Caucasian female was screened for GDM on booking at 11 weeks as BMI 38 kg/m2. HbA1c 44mmol/mol and RPG 6.9mmol/l confirmed GDM which was managed by dietary/lifestyle changes with glucose and pregnancy targets achieved until 28 weeks when metformin added. Normal delivery at 40 weeks with HbA1c 40mmol/mol three months postpartum triggered advice on long-term dietary/lifestyle changes and annual HbA1c checks. HbA1c was useful during the pandemic but most centres reverted to OGTT for GDM screening due to a significant fall in diagnoses using HbA1c >=39mmol/mol at 26 weeks. But, HbA1c testing was advantageous at booking to diagnose type 2 diabetes earlier.
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The recent Covid-19 pandemic has created many challenges and barriers in healthcare, which includes the treatment and management of patients with type 2 diabetes (Robson & Hosseinzadeh, 2021). The purpose of this Evidence-Based Project (EBP) project is to evaluate the effectiveness of type 2 diabetes management through telehealth and answers the following PICOT question: In patients with diabetes type 2 who have difficulties with medical visit compliance (P), will the telehealth platform (I), compared to patient's previous visit HbA1c (C) improve the Hemoglobin A1c (HbA1c) diagnostic marker (O) over a 12-week period(T)? An extensive literature search of five databases was performed, citation chasing, and a hand search yielded fourteen pieces of evidence ranging from level I to VI (Melnyk & Fineout-Overholt, 2019). The pieces of evidence selected for this project support the evidence that telehealth implementation is as effective as the "usual care" or in-person visits to treat type 2 diabetes. The John Hopkins Nursing Evidence-Based Practice (JHNEBP) model was selected. Patients with a HbA1c of greater than 6.7% have been asked to schedule two six-week telehealth visits. During the live video visit, a review of medications, and diabetes self-management education (DSME) will be conducted. Participants will be provided with education to promote lifestyle modifications. The visits will be conducted through an Electronic Medical Record (EMR) system that is Health Insurance Portability and Accountability Act (HIPAA) compliant. A paired t-Test will be used with the data collected from the pre-and post-HbA1c. Improve the management of type 2 diabetes with the incorporation of telemedicine in primary care. Research supports the need to further expand the use of telehealth in primary care, to improve patient outcomes and decrease co-morbidities related to type 2 diabetes.
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Objectives: Insulin optimisation requires review of glucose monitoring;Covid-19 posed challenges to this. We evaluated DBm -a remote monitoring platform utilising a glucometer and smartphone app. Method(s): Evaluation was from January to November 2021. Inclusion criteria was insulin treated diabetes with HbA1c greater than 68mmol/mol. HbA1c, demographics, frequency of CBG uploads and interactions with clinicians were collected. Result(s): 97 patients were offered DBm. 48.5% used the app. There were no statistically significant differences in gender (p = 0.05), age (p = 0.36), type of diabetes (p = 0.13) or deprivation index (p = 0.96) between users and non-users. Patients of white ethnicity were less likely to use the platform (p = 0.01). Amongst users, 70% had a reduction of HbA1c of at least 5mmol/mol over six months, with a mean reduction of 25.6mmol/mol (p = 0.01). There was no difference in age (p = 0.64), gender (p = 0.4), and type of diabetes (p = 0.23) between responders and non-responders. There was also no difference in number of call back requests generated by patients (p = 0.32) or number of CBG uploads (p = 0.899) between responders and non-responders. Conclusion(s): Uptake of the remote monitoring solution was just under 50%, with no evidence of digital exclusion, although the finding that white ethnicity patients were less likely to use the system needs further exploration. Most users had improved glucose control, but there was no association with numbers of tests or call back requests. This study demonstrates that insulin optimisation can effectively be delivered using a remote glucose monitoring system. Future work will explore patient experience and patient satisfaction.
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Aim: Our institute provided the required monthly insulin free to patients with type 1 diabetes, where either patients or parents became unemployed and/or economically weaker during the pandemic. Method(s): All 296 patients with type 1 diabetes were given questionnaires to assess their or their family's economic status during Covid-19. 33 patients fell below poverty line and had a Priority Household Card (with 35kgs of free rice every month) and ration cards enrolled for monthly free insulin scheme. The patients were given monthly requirements of insulin based on existing regimens. Their weight, HbA1c and episodes of ketoacidosis were measured at 3-and 6-months following initiation of the scheme. Additional financial and material support were organized from NGO's and philanthropic individuals. Measurable impact of this project was ascertained through glycaemic control through HbA1C levels prior and after, overall wellbeing and prevention of acute complications like ketoacidosis. Result(s): 33 patients enrolled for the study, 9 were less than 15 years of age, 19 between 15 and 30 years and 5 above 30 years of age. HbA1c levels fell cumulative by 0.8% by 3 months and 1.2% by six months. Weight increased by 1 kg by 3 months and 1.5 kg by six months. Few episodes of ketoacidosis were reported during six months primarily due to engagement issues issue rather than availability of insulin. Conclusion(s): There was a dramatic impact on overall wellbeing of these patients with type 1 diabetes with significant improvement on glycaemic control and on emotional by reducing the financial burden of procuring monthly doses of insulin.
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Point-of-care testing (POCT) in pediatric primary care is essential for clinicians to make a timely and accurate diagnosis. The COVID-19 pandemic has highlighted the importance of timely and accurate testing strategies to correctly identify the etiology of upper and lower respiratory infections. Additionally, pediatric POCT continues to be important in rural and underserved communities where access to hospital laboratories may be less available. This chapter will focus on seven rapid tests: Group A streptococcus (GAS), influenza A & B, SARS-CoV-2 (COVID-19), human immunodeficiency virus (HIV), C-reactive protein (CRP), human chorionic gonadotropin (hCG), and hemoglobin A1c (HbA1c). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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Background: Mucormycosis is a serious life-threatening fungal infection that recently made severe sudden and devastating surge during the second wave of the COVID-19 epidemic with a mortality rate of up to 50%. Although the causality link between COVID-19 and rhino-orbito-cerebral mucormycosis (ROCM) remains unclear, many factors including poor diabetes control, high doses of steroids, viral-induced lymphopenia, and cytokine storm have been attributed to ROCM in patients with COVID-19. Orienting to risk factors and early recognition of this potentially fatal opportunistic infection is the key to optimal management and improved outcomes. In these contexts, we conducted a prospective study for 33 patients admitted to our tertiary hospital to determine the risk factors for ROCM in patients with COVID-19 and the cumulative mortality rates. Result(s): This study found a statistically significant relation between the fate of death in COVID-MUCOR patients who had presented fever, ophthalmoplegia, facial skin necrosis, and visual loss with those who received dose of steroid to control their respiratory symptoms P < 0.001. Death from COVID-MUCOR was statistically significant related to the prolonged interval from the onset of the symptoms to start of treatment and intervention. Also, it was found that there was a significant decrease in duration between COVID-19 infection and the start of mucormycosis (days) with incidence of DKA on admission. Nineteen (57.6%) of the patients had uncontrolled diabetes mellitus (hemoglobin A1C (HbA1c) of > 7.0%). Conclusion(s): Mucormycosis epidemic was precipitated by a unique confluence of risk factors: diabetes mellitus, widespread use of steroids, and perhaps SARS-CoV-2 infection itself. Restricting steroid use in patients with severe COVID-19 requiring oxygen therapy, and screening for and optimally controlling hyperglycemia, can prevent COVID-MUCOR in a large majority.Copyright © 2023, The Author(s).
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Background: The coronavirus disease 2019 (COVID-19) pandemic and its associated morbidities are a great global concern. Diabetes mellitus (DM) is associated with adverse clinical outcomes and high mortality in patients with COVID-19. Objective(s): This study examined the frequency of BM, newly diagnosed hyperglycemia, and their impacts on hospitalized patients with COVID-19. Method(s): This retrospective study examined 810 medical records of PCR-confirmed COVID-19 patients admitted to Razi Hospital, Ahvaz, Iran. The clinical presentations, severity, and impacts of COVID-19 were compared between patients with and without DM. Disease severity was determined based on the NEWS2 scoring system. Result(s): This study included 810 medical records of COVID-19 patients, of whom 326 had pre-existing DM, and 484 were non-DM. The rates of diabetes and newly diagnosed hyperglycemia were 40.2% and 11.2%, respectively. The most common underlying diseases were hypertension (35.3%), ischemic heart disease (17.9%), and chronic kidney disease (11.9%), which were higher in people with diabetes than non-diabetics. The rate of acute kidney injury was higher in patients with diabetes than in non-diabetics (30.7% vs. 19.2%;P < 0.001) and in patients with severe COVID-19 than in those whose disease was not severe (27.8% vs. 21.5%;P = 0.04). The rates of severe COVID-19 (46.3% vs. 34.7%;P = 0.093), ICU admission (40.7% vs. 27.4%;P = 0.012), and mortality (18.5% vs. 10.5%;P = 0.079) were higher in patients with newly diagnosed hyperglycemia than in euglycemic patients. Conclusion(s): This study showed that COVID-19 infection is linked with newly diagnosed hyperglycemia and pre-existing DM, both associated with severe COVID-19, more need for ICU admission, and mortality.Copyright © 2023, Author(s).
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According to domestic and foreign studies, diabetes mellitus (DM) is a significant risk factor for infection with the SARS-CoV-2 vi-rus, a severe course of the disease, and an adverse outcome. Trend analysis of epidemiological and clinical characteristics of DM patients living in the Samara region in the initial period of the spread of the new coronavirus infection can help to assess the effectiveness of medical care for DM patients in a challenging epidemiological setting and to determine the directions for its improvement. Objective. To assess the trends in the prevalence, incidence, and mortality of DM patients living in the Samara region and to iden-tify the changes in the structure of vascular complications and the status of glycemic control from 2018 to 2020. Material and methods. The study of the medical and epidemiological DM indicators was performed according to the design of a continuous retrospective observational study covering the period from 2018 to 2020;the object was the adult population of the Samara region. Results. The total number of DM patients in the Samara region in 2020 was 118,623 people (3.73% of the population), of which type 1 diabetes was detected in 5.2% (6118 people) and type 2 diabetes in 94.2% (111,700 people). The trends of the prevalence of type 1 DM were 186.3->192.4/100,000 population, type 2 DM 3132.5->3153.1/100,000 population;the dynamics of primary morbidity with type 1 diabetes mellitus 8.8->6.2/100,000 population, with type 2 DM 259.1->196.4/100,000 population;mortality with type 1 diabetes mellitus 3.2->4.2/100,000 population, with type 2 diabetes mellitus 120.7->174.5/100,000 population. The most common causes of death were cardiovascular diseases: 30.3% in type 1 DM, 39.7% in type 2 DM;there is a trend towards increasing in death <<from DM>> without indicating the immediate cause of death for both types of DM;<<from COVID-19>> 3.8% with type 1 DM and 3.7% with type 2 DM. The incidence of vascular complications in type 1 and type 2 DM was 31.4% and 11.5% for reti-nopathy, and 21.4 and 11.5% for nephropathy, respectively. Trends in the proportion of patients with HbA1c <7%: 28.1%->51.1% in type 1 DM, 15.7%->62.4% in type 2 DM;with HbA1c >=9.0%: 25.4%->12.1% in type 1 DM, 39.8%->7.1% in type 2 DM. Conclusion. The study demonstrates the importance of a comparative sequential assessment of the epidemiological characteristics of diabetes mellitus and the clinical status of patients living in the Samara region in challenging epidemiological settings to assess the prospects for optimizing follow-up.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
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HbA1c measurement is widely used for diagnosis/ management/remission of diabetes with international schemes certifying comparability. A) 75 year-old Chinese female with type 2 diabetes was admitted in April 2020 with Covid-19 and diabetic ketoacidosis. Glucose was 35mmol/l and HbA1c 150mmol/mol with previous HbA1c of 45mmol/mol on metformin and alogliptin. She was treated for ketoacidosis and once-daily Lantus introduced along with supportive management of viral illness. B) 68 year-old Afro-Caribbean with type 2 diabetes on metformin before admission, presented with new onset, jerky ballistic movements of high amplitude in right arm, 10-15 movements every 5 min. Admission glucose was >33mmol/l, ketones 1.8mmol/l and HbA1c >217mmol/ mol. Hemichorea-hemiballism, a hyperglycaemia related movement was diagnosed and insulin commenced. Glucose decreased to 8-20mmol/ l, reaching 5-15mmol/ l by time of discharge. Ballistic movements resolved when glycaemic control improved with HbA1c 169mmol/mol, 25 days after discharge. C) Several days before admission, a female with diabetes over 20 years required attention from paramedics on four occasions for hypoglycaemia. Months beforehand metformin was replaced by gliclazide due to chronic kidney disease with HbA1c 50mmol/mol, and she was transfused six weeks before admission for microcytic anaemia. Gliclazide was discontinued and her diet modified which prevented further hypoglycaemic episodes. Variant haemoglobin, beta-thalassaemia which can overestimate glycaemia;undetected by HbA1c HPLC method, invalidated HbA1c as did the blood transfusion. These cases highlight that inadequate understanding of HbA1c can lead to acute presentations of dysglycaemia. As HbA1c accuracy can be affected by multiple factors, clinical assessment and triangulation are key to the management of such patients.
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Aim: Standard diagnosis of gestational diabetes (GDM) is based on the Oral Glucose Tolerance test (OGTT). During the Covid-19 outbreak, due to Covid restrictions, criteria were modified i.e Fasting Blood Glucose >=5.3 and/ or HbA1c >= 39 for diagnosis of GDM. After the lifting of the Covid restrictions, the standard criteria were reimplemented and on analyzing the data, it was highlighted that some of the patients could have tested negative for GDM based on Covid Criteria. Method(s): We analyzed the data of 43 patients based on standard criteria (OGTT and HbA1c) after Covid restrictions, with the following results. Result(s): 11/43(28%) patients who were diagnosed on the basis of standard criteria could have been missed based on Covid criteria. Out of 11 deliveries, 2 babies with weight above 4 kg. There were no admissions to NICU. One patient had postpartum hemorrhage with 670 mL of blood loss. Conclusion(s): This was a retrospective study in which we analyzed the data of 45 pregnant females diagnosed with GDM based on testing using the Covid criteria and compared this to 43 pregnant females who were diagnosed with GDM on the basis of OGTT based on GOLD standard NICE criteria. In addition, we also examined maternal and obstetric outcomes in both groups such as the mode of delivery, the baby's birth weight, the incidence of shoulder dystocia, mean blood loss (MBL), and NICU admission. We understand that Covid GDM diagnosis was a necessity of time. In this study, we want to learn what could have been missed with that diagnostic criteria. For future pandemics, we need to revise our diagnostic criteria to avoid the risk of underdiagnosing GDM and associated complications.
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Objectives: Obesity is a global epidemic and leads to complications such as diabetes and dyslipidemia. The objective of this study was to examine the provision of diet, exercise, cholesterol and HbA1c testing in office based medical visits among normal, overweight, obese, and morbidly obese individuals in the US. Method(s): The 2018 National Ambulatory Medical Care Survey data was used to conduct the study. Main outcome was provision of diet/nutrition, exercise, weight-reduction counseling, cholesterol and HbA1c testing in normal (BMI:18-25), overweight (BMI:25-30), obese (BMI:30 - 40), and morbidly obese (BMI:40+) individuals. A logistic regression model was fit to examine main outcomes by BMI status. Survey weights are assigned to the sample visits to obtain national estimates. All models were adjusted for confounders: race, ethnicity, age, gender, MSA, and insurance status. Odds ratios are reported to describe differences in overweight, obese, and morbidly obese patients compared to normal weight patients. Result(s): The weighted study sample consisted of 496,622,621 outpatient visits primarily white (84%), male (58%), covered by private insurance (57%). Multivariate analysis reveals that overweight, obese, and morbidly obese individuals received more HbA1c tests (OR, 1.02;CI, 1.01-1.03;OR, 3.47;CI, 2.31-5.2;OR, 9.01;CI, 4.88-16.66), and lipid profile tests (OR, 1.56;CI, 1.01-2.41;OR, 1.88;CI, 1.32-2.67;OR, 2.16;CI, 1.20-3.90) compared to normal weight patients. Similar trends were observed in the provision of diet/nutrition, exercise, and weight reduction counseling services (OR, 3.31;CI, 1.49 -7.35;OR, 7.51;CI, 2.85 -19.76;OR, 18.47;CI, 7.40- 46.10). Conclusion(s): Our study findings suggest that at risk individuals receive more weight-related services, such as testing for diabetes, cholesterol, diet, exercise, and weight reduction education compared to normal weight individuals. This study forms a baseline to examine disparity in provision of such services post-Covid (2019 and beyond) era given the disruption in the scarcity of health care professionals for such basic preventive services.Copyright © 2023
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Aims: We have shown previously in 93 individuals with type 1 diabetes using the FreeStyle Libre flash glucose monitor that the week after their first Covid-19 vaccination, the percent 'time in target range 3.9-10mmol/ l' (%TTR) average went from 55.2%-> 52.4% (effect size -5.1%) with 58% of people recording a fall. 47 (50%) people with HbA1c < 56mmol/mol %TTR went from 69.3-> 63.5 (-8.3%) and 24 (25%) people using insulin+oral treatment 56.7%-> 50.7% (-10.1%). We have now repeated the exercise after the most recent Covid-19 vaccination. Method(s): FreeStyle Libre data and medical records of the same patients from the previous study were examined for the week before and week after their most recent Covid-19 vaccination. () in the results section show change in %TTR as % of the prior value to show effect size. TTR% results from 2 weeks before and after were also considered. Result(s): Median time between vaccines was 38 weeks IQR (37-40). After the latest vaccination average %TTR average went from 51.1%-> 49.8% (-2.5%) with a reduction found in 54% of patients. Impact on the 39 patients with HbA1c < 56mmol/mol -% TTR from 66.2%-> 61.8% (-6.5%) and the 20 (25%) patients using insulin+oral %TTR from 48.2%-> 47.1% (-2.2%). 65% of the patients whose %TTR fell previously, fell again after this vaccination. Fortnight average %TTR 53.5%-> 52.1% (-2.7%) whereas in the previous study across fortnight %TTR 55.4%-> 54.0% (-2.4%). Conclusion(s): The perturbation effect on blood glucose with 1st Covid-19 vaccination was seen again in the latest vaccination but reduced in magnitude, confirming that a significant group of type 1 diabetes individuals' glycaemic control is still being impacted by the Covid-19 vaccination.
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We conducted a review and evaluated the already documents reports for the relationship among diabetes and COVID-19. The review outcome shows that the COVID-19 severity seems to be greater among patients with diabetes as comorbidity. So, strict glycemic control is imperative in patients infected with COVID-19. Thus, world-wide diabetes burden and COVID-19 pandemic must be deliberated as diabetes increases the COVID-19 severity. Established on this, it is precise significant to follow specific treatment protocols and clinical management in COVID-19 patients affected with diabetes to prevent morbidity and mortality.Copyright © 2023 The Authors.
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Purpose: To evaluate the effectiveness and safety of a pharmacist-managed protocol for transitioning critically ill patients from intravenous (iv) to subcutaneous insulin compared with a provider-managed process. Method(s): This single-center, retrospective, observational study included patients admitted to the medical or surgical/trauma intensive care unit who received a continuous infusion of iv insulin from January 2019 to April 2021. Patients were excluded if they were less than 18 years of age, pregnant, incarcerated, or received iv insulin for the diagnosis of diabetic ketoacidosis, hyperglycemic hyperosmolar state, calcium channel blocker or beta blocker overdose, or hypertriglyceridemia. The primary outcome was the percentage of blood glucose (BG) concentrations within the target range of 70-150 mg/dL from 0 to 48 h following transition to subcutaneous insulin. Secondary outcomes included percentage of BG concentrations within goal range following transition at 0-12 h and 12-24 h, incidence of hypo- and hyperglycemia, and percentage of patients requiring dose adjustments after initial transition. Result(s): A total of 110 unique patients were included with 70 patients in the provider-managed group and 40 patients in the pharmacist-managed group. On average, pharmacists transitioned patients to 63% basal insulin based on their 24-h total day dose of insulin. The pharmacist-managed group achieved glycemic control in 53% of transitions at 12 h, 40% at 24 h, and 47% from 0 to 48 h, while the provider group achieved glycemic control in 25% of transitions at 12 h, 12% at 24 h, and 18% from 0 to 48 h (p < 0.001 for all time points). As for safety end points, the pharmacist-managed group demonstrated lower rates of hypoglycemia (p = 0.001), severe hypoglycemia (p = 0.332), hyperglycemia (p < 0.001), and severe hyperglycemia (p < 0.001) compared with the provider-managed group. Conclusion(s): Pharmacists can effectively and safely transition critically ill patients from iv to subcutaneous insulin utilizing a standardized protocol.Copyright © 2023 Pharmacotherapy Publications, Inc.
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Introduction: The aim was to investigate access to and the effect of intermittency scanned flash glucose monitoring (isCGM) on glycaemic control during the Covid-19 pandemic. Method(s): Data from the National Diabetes Audit from 2019 to 2021 was stratified into those who were already using isCGM on 1st April 2020 (A), those who started isCGM on or after 1st April 2020 (B), and those who did not receive isCGM (C). Logistic regression investigated the independent effects of ethnicity and deprivation on access to isCGM after adjustment for baseline covariates (age, gender, BMI, duration of diabetes, and baseline HbA1c). Ethnicity was categorized as White, Asian, Black, Mixed, and not reported. The Index of Multiple Deprivation (IMD) was divided into quintiles. Result(s): 251,620 people were identified with type 1 diabetes;88,910 (35%) had isCGM prescribed at 1st April 2020. The mean follow-up post-isCGM initiation was six months. Mean HbA1c at baseline was 67.4mmol/mol in (A), 73.6mmol/mol in (B) and 69.7mmol/mol in (C). Mean HbA1c at follow-up was 64.9mmol/mol (A) (p < 0.001), 65.5mmol/mol (p < 0.001) (B). After adjustment for age, sex, duration of diagnosis, baseline HbA1c, and BMI people with White ethnicity (OR = 1.79 p < 0.001) or in the least deprived quintile (OR = 1.54, p < 0.001) were more likely to be initiated on isCGM as compared to the black and most deprived groups. Conclusion(s): Initiating isCGM during the Covid-19 pandemic was associated with improved glycaemic control. Ethnic and socioeconomic disparities in access to isCGM were observed even during the pandemic. Ongoing work is investigating the effect of isCGM on diabetes-related hospital admissions during the pandemic.
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Background: My Diabetes My Way (MDMW) is NHS Scotland's interactive website, offering education, structured eLearning and online records access for people living with diabetes. We aimed to analyse user activity during the last 12 months. Method(s): Data were collected during the period from November 2021 to October 2022. Registration and user audit logs were analysed, observing activity across all website content and features. Result(s): An average of 62,853 pages were accessed on the public website each month. Significant activity increases were observed in December 2021 (n = 81,237). There were increased views in September 2022 (n = 76,502) and October (n = 73,039) The top five pages accessed were;Coronavirus: advice for people living with diabetes (n = 12,478), FreeStyle Libre (n = 4325), Emergency advice (n = 1576), Blood pressure-reducing your risks of complications (n = 1559) and Blood glucose monitoring and HbA1c targets (n = 1485). eLearning: During this period, 382 individuals completed one of 11 QISMET-accredited structured eLearning courses. eLearning course usage increased in relation to patient awareness activity. Social Media: There are currently 3919 Facebook and 3600 Twitter followers. Records Access: 67,655 patients had registered to access their data and 35,157 had actively accessed their records by the end of October 2022. Patient feedback remains highly positive. Conclusion(s): MDMW is a consistent and reliable resource for people with diabetes and their families to access at any time online. User statistics continue to rise, while latest development plans include the addition of new Patient Reported Outcome Measures, risk prediction features, and enhanced sharing of data with the healthcare team.
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Background: Approximately 10% of people living with type 2 diabetes in Waltham Forest (WF) who are treated with oral hypoglycaemic agents (OHA) alone and not under specialist care have an HbA1c > 75mmol/mol. No optimisation clinic exists at PCN level in WF, despite maximum capacity reached in specialist community and secondary care clinics. Aim(s): To establish a remote PCN based optimisation clinic during the Covid-19 pandemic, using motivational and patient empowerment interviewing techniques. Improvement in HbA1c, blood pressure and lipid profile underpinned the study. The 'behaviour change model' was also used to assess patient engagement. Method(s): We identified and consulted with 43 patients using an extended consultation of 25 min. Engagement and recall after 3 months were facilitated by a dedicated administrator and optimal care was ensured via monthly remote consultant input. Result(s): 38 patients were optimised with oral hypoglycaemic agents (OHA) alone and completed the pilot. 31/38 patients had an HbA1c reduction of more than 11mmol/ mol, with a significant overall median reduction across the whole cohort (pre 88mmol/mol vs 70mmol/mol, p < 0.0001). There was also a significant median reduction in triglyceride level (pre 1.56mmol/l vs 1.20mmol/l, p = 0.0247). In terms of behaviour change, all but one patient improved their behaviour towards their diabetes significantly. The approximate cost of the pilot per patient was 263 (excluding medication). Conclusion(s): A PCN based optimisation clinic using active recall is a cost effective and efficient method for significantly improving glycaemic control in people living with type 2 diabetes.
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Aim: During Covid we noticed that more women were being diagnosed with Gestational Diabetes (GDM) from 34 weeks gestation than prior to Covid. It was suspected that this was due to how GDM was diagnosed, from Oral Glucose Tolerance Test (OGTT) prior to Covid to HbA1c with Fasting or Random Blood Glucose (RBG) during Covid. Method(s): An audit of our GDM database was performed, looking at rates of late GDM diagnosis from 2018-present. Result(s): Prior to Covid the late diagnosis rate was 14-15%. In 2020 and 2021 this increased to 27.7%. This year diagnosis is only by OGTT, and the rate has dropped to 21%. There was also a significant rise in the number of women who were being diagnosed from 34 weeks gestation whom had previously been tested for GDM earlier in their pregnancy. In 2018 and 2019 52-56% of these women had previously been tested. In 2020 this increased up to 84% and fell to 74% in 2021. This year the rate has fallen to 67%. In 2018 and 2019 all women had been diagnosed using OGTT's. In 2020 61% of women had previously been tested for GDM by HbA1c and RBG, with this increasing to 84% in 2021. This year only 10% had previously been tested using HbA1 and RBG. Conclusion(s): The sharp increase in late diagnosis of GDM during the Covid seems to be related to the change in diagnostic testing and shows that OGTT is the more accurate way to diagnose GDM and not HbA1c with RBG.