Diabetic Ketoacidosis Admissions Research Articles

Comparison of admissions for diabetic ketoacidosis in patients with autoimmune diabetes and type 2 diabetes in the san cecilio clinic university hospital

Comparison of admissions for diabetic ketoacidosis in patients with autoimmune diabetes and type 2 diabetes in the san cecilio clinic university hospital

Accuracy of a Real-Time Continuous Glucose Monitor in Pediatric Diabetic Ketoacidosis Admissions.

Objective: Continuous glucose monitoring (CGM) devices are integral in the outpatient care of people with type 1 diabetes, although they lack inpatient labeling. Food and Drug Administration began allowing inpatient use during the coronavirus disease 2019 (COVID-19) pandemic, with some accuracy data now available, primarily from adult hospitals. Pediatric inpatient data remain limited, particularly during diabetic ketoacidosis (DKA) admissions and for patients receiving intravenous (IV) insulin. Design and Methods: This retrospective chart review compared point-of-care glucose values to personal Dexcom G6 sensor data during pediatric hospitalizations. Accuracy was assessed using mean absolute relative difference (MARD), Clarke Error Grids, and the percentage of values within 15/20/30% if glucose value >100 mg/dL and 15/20/30 mg/dL if glucose value ≤100 mg/dL. Results: Matched paired glucose values (N = 612) from 36 patients (median age 14 years, 58.3% non-Hispanic White, 47.2% male) and 42 inpatient encounters were included in this subanalysis of DKA admissions. The MARDs for DKA and non-DKA admissions (N = 503) were 11.8% and 11.7%, with 97.6% and 98.6% of pairs falling within A and B zones of the Clarke Error Grid, respectively. Severe DKA admissions (pH <7.15 and/or bicarbonate <5 mmol/L) had a MARD of 8.9% compared to 14.3% for nonsevere DKA admissions. The MARD during administration of IV insulin (N = 266) was 13.4%. Conclusions: CGM accuracy is similar between DKA and non-DKA admissions and is maintained in severe DKA and during IV insulin administration, suggesting potential usability in pediatric hospitalizations. Further study on the feasibility of implementation of CGM in the hospital is needed.

Prevalence and prognosis of fulminant type 1 diabetes mellitus in The Middle East: a comparative analysis in a 5-year nationwide cohort

PurposeTo analyze the prevalence and progression of fulminant type 1 diabetes (FT1D) in Qatar.MethodsThis retrospective study analyzed consecutive index- diabetic ketoacidosis (DKA) admissions (2015–2020) among patients with new-onset T1D (NT1D) in Qatar.ResultsOf the 242 patients, 2.5% fulfilled the FT1D diagnostic criteria. FT1D patients were younger (median-age 4-years vs.15-years in classic-T1D). Gender distribution in FT1D was equal, whereas the classic-T1D group showed a female predominance at 57.6% (n = 136). FT1D patients had a mean C-peptide of 0.11 ± 0.09 ng/ml, compared to 0.53 ± 0.45 ng/ml in classic-T1D. FT1D patients had a median length of stay (LOS) of 1 day (1-2.2) and a DKA duration of 11.25 h (11–15). The median (length of stay) LOS and DKA duration in classic-T1D patients were 2.5 days (1-3.9) and 15.4 h (11–23), respectively. The FT1D subset primarily consisted of moderate (83.3%) and severe 916.7%) DKA, whereas classic T1D had 25.4% mild, 60.6% moderate, and 14% severe DKA cases. FT1D was associated with a higher median white cell count (22.3 × 103/uL) at admission compared to classic T1D (10.6 × 103/uL). ICU admission was needed for 66.6% of FT1D patients, compared to 38.1% of classic-T1D patients. None of the patients in the FT1D group had mortality, while two died in the classic-T1D group.ConclusionThis is the first study establishing the existence of FT1D in ME, which presented distinctively from classic-T1D, exhibiting earlier age onset and higher critical care requirements. However, the clinical outcomes in patients with FT1D seem similar to classic T1D.

Change in the Frequency of Diabetic Ketoacidosis in Children with Newly Diagnosed Type 1 Diabetes in the Central Anatolia Region of Turkey over the Years Before and After the Coronavirus Disease 2019 Pandemic: A Single-Center Experience.

The number of admissions for severe diabetic ketoacidosis (DKA) in children with newly diagnosed type 1 diabetes (T1D) increased during the coronavirus disease 2019 pandemic. We aimed to investigate whether there has been a change in this situation in recent years. All children with T1D who were diagnosed in our tertiary hospital between 2019 and 2023 were included. Plasma insulin, C-peptide, hemoglobin A1c (HbA1c), and antibodies against thyroid peroxidase, thyroglobulin, insulin, islet cell, glutamic acid decarboxylase, tissue transglutaminase IgA, and endomysium IgA were measured. The frequency of moderate-severe acidosis at admission, which increased after pandemic period compared to the pre-pandemic period, returns to its previous levels over time but still shows a statistical difference compared to the pre-pandemic period (P = .012). Age, blood gas pH and HCO3 level, C-peptide, HbA1c, and length of stay of children at the time of admission were compared year by year (years 2019-2023). No statistical differences were observed (P = .509, P = .181, P = .069, P = .469, P = .346, P = .946), respectively. A significant difference was observed in venous glucose (P .001) and insulin (P = .001) according to years. Also, no significant difference was found about the degree of acidosis according to age (P = .334). Although the frequency of DKA in children with newly-diagnosed T1D increased in the first years of the pandemic, it has been decreasing over t.

Social and Metabolic Characteristics Associated With Multiple DKA Admissions at a Large County Hospital.

Diabetic ketoacidosis (DKA) is a preventable, deadly, and costly complication of type 1 diabetes mellitus (T1DM). Some individuals with T1DM have recurrent DKA admissions. We sought to characterize social factors that differ between patients with single vs multiple DKA admissions at an urban, safety-net hospital. We queried the electronic health records for T1DM patients admitted for DKA from 2019 to 2021. Admission laboratory values, demographic information, and detailed social histories were collected and analyzed statistically, including logistical regression. A total of 243 patients were admitted for DKA, 64 of whom had multiple DKA admissions. There was no significant difference between the groups in their admission laboratory values, hospital length of stay, health-care payer status, history of homelessness, current employment, living alone, independence of activities of daily living, and barriers to discharge. T1DM patients with multiple DKA admissions had greater rates of substance use disorder (33.0% vs 60.9%; P < .001), especially with cannabis (6.7% vs 25.0%; P < .001), tobacco (26.3% vs 46.3%; P = .002), and psychoactive substance use (1.1% vs 6.3%; P = .043). Regression models of substance use showed increased risk with any substance use (odds ratio [CI] 3.17 [1.78-5.73]; P < .001) and cannabis (3.70 [1.55-8.83]; P = .003). We identified substance use as a possible predictor of T1DM patients at risk for multiple DKA admissions. Our findings identify a group of T1DM patients for whom interventions may help to decrease recurrence of DKA episodes within similar community hospital populations.

Management of diabetic ketoacidosis in internal medicine: insulin protocols, electrolyte balance, and clinical outcomes

Diabetic ketoacidosis (DKA) is a critical complication of diabetes mellitus (DM), characterized by hyper-glycemia, acidosis, and ketosis. It poses a substantial risk of morbidity and mortality, especially in type 1 DM patients. DKA can be triggered by various factors, including insulin deficiency, infections, alcohol abuse, and other medical conditions. Hospital admissions for DKA are increasing, with mortality rates of up to 5-9%, often linked to severe underlying illnesses and complications such as myocardial infarction and stroke. Effective DKA management involves rehydration, correction of electrolyte imbalances, insulin administration, and addressing precipitating factors. Fluid resuscitation with isotonic saline is vital to restore hydration, and continuous intravenous insulin infusion is the preferred method to control blood glucose and suppress ketone production. Electrolyte imbalances, particularly potassium, sodium, phosphate, and magnesium, require careful monitoring and correction. Clinical outcomes in DKA management include resolving acidosis, normalizing blood glucose, and restoring electrolyte balance, all while achieving and maintaining clinical stability. Complications like cerebral edema and acute respiratory distress syndrome can significantly impact the prognosis. Long-term considerations encompass diabetes management, patient education, and follow-up care.

Clinical and Biochemical Characteristics of Pediatric Diabetic Ketoacidosis Admissions to COVID-19 Free UAE Tertiary Center during Pandemic

Background: COVID-19 pandemic led to delayed diagnosis and increase in number and severity of type 1 diabetes mellitus (T1DM) and diabetic ketoacidosis (DKA) cases in pediatric population worldwide. The indirect impact of the pandemic on pediatric DKA admissions to COVID-19-free hospitals worth to be evaluated. Objectives: Our aim was to evaluate the characteristics and severity of DKA admissions before and during the pandemic to COVID-19-free hospital. Methods: This descriptive retrospective study included 130 episodes of DKA for patients aged below 16 years admitted to Tawam Hospital, a COVID-19-free hospital, between March 2017 and Feb 2021. Data from March 2020 to Feb 2021 (pandemic) were compared to the previous 3 years, March 2017 to Feb 2020 (pre-pandemic). Data were retrieved from the electronic records and analyzed using STATA13. Results: We evaluated 130 DKA admissions (63 pandemic and 67 pre-pandemic). The majority of patients in the pandemic group were in, the age group of (6–11.9 years) (54% vs. 23.9%, p = 0.001), and higher proportion of them was diagnosed with new-onset diabetes (42.9% vs. 25.4%, p = 0.035). Overall, there was no significant difference in symptoms duration, DKA severity, or time to DKA resolution, but there was a difference in the median (IQR) HbA1C, 11% (9.4–12.95) vs. 10.15% (9.27–11.80) (p = 0.0297) in the pandemic and pre-pandemic groups, respectively. Conclusion: In our COVID-19-free hospital, the pandemic and service reallocation has led to an increased rate of DKA admissions with increased number of newly diagnosed T1DM. Clinical presentation and severity were not adversely affected.

Have interventions aimed at assisting general practitioners in facilitating earlier diagnosis of type 1 diabetes in children been successful? A systematic review protocol

BackgroundEarly diagnosis of type 1 diabetes in children is critical to prevent deterioration to diabetic ketoacidosis (DKA), a state where the body’s insulin levels are critically low resulting in the...

Abstract #1604518: A Review of Diabetic Ketoacidosis Admissions at a Multispecialty Hospital in Sharjah

Abstract #1604518: A Review of Diabetic Ketoacidosis Admissions at a Multispecialty Hospital in Sharjah

SAT122 The Barriers Of Insulin Access In A Case Of Wolfram Syndrome

Abstract Disclosure: D.H. Sacoto: None. C.A. Villavicencio: None. R. Belokovskaya: None. A.A. Franco-Akel, MD: None. Wolfram syndrome (WS) is a rare and fatal condition with a median age of death of about 39 years and affecting around 1 of 100,000 people in North America. Insulin is the mainstay of treatment in WS though, access to it may affect adherence and glycemic control which is correlated with neurodegenerative progression. We present a patient with WS whose complications exacerbated due to insulin access. A 19-year-old African American male with a history of type 1 diabetes mellitus (T1DM), presented to the ED with a 2 day-history of general malaise and emesis. Diabetic ketoacidosis (DKA) (blood glucose 802 mg/dL, pH 7.2, positive serum ketones) was diagnosed upon arrival. Right optic nerve atrophy was diagnosed at age of seven. At age of eight, patient was diagnosed with bilateral sensory-neuronal hearing loss (SNHL) which led to school withdrawal. It was then when suspicion of WS arose. Single nucleotide polymorphism microarray confirmed homozygosity from the region of linkage on chromosome 4p16.1, where the WFS1 gene lies. At the age of eighteen, patient was diagnosed with neurogenic bladder for which he requires frequent self-catheterization. Since his T1DM diagnosis, patient has faced multiple barriers accessing insulin secondary to insurance issues and lack of social support resulting in multiple hospital admissions for DKA and urinary retention episodes. WS is an autosomal recessive disorder resulting from WFS1 or WFS2 gene mutation on chromosome 4p. WS commonly presents as childhood-onset diabetes mellitus, optic atrophy, SNHL, and neurogenic bladder. Insulin is the first line treatment for optimal glycemic control in WS. Despite optimal glycemic control, WS symptoms and neurodegenerative progression may be influenced by other factors. First, treatment access for rare diseases has shown to be impacted by medical unconscious bias, in addition to systemic, linguistic, and socioeconomic challenges patients may face. Furthermore, Medicaid insurance covering rare diseases still varies widely between 15-67%, and in those insured, there is still a 61% chance of delay or denial due to pre-approval requirements. In addition, poor glycemic control has been correlated with lower socioeconomic status, lack of access to devices such as insulin pumps, migratory status, social support and environment, food security, and ethnic background. Since diabetes control in WS patients is paramount to a better quality of life, additional studies are needed to understand the full scope of barriers that can contribute to policies that facilitate better treatment access for patient and families living with WS. Presentation: Saturday, June 17, 2023

THU366 Type 1 Diabetes Complicated By Multiple Episodes Of Diabetic Ketoacidosis Secondary To Flares Of Hidradenitis Suppurativa

Abstract Disclosure: S.R. Vasavada: None. K.A. Chopra: None. L. Philipson: Grant Recipient; Self; Novo Nordisk. Background: Hidradenitis suppurativa (HS) is an inflammatory skin condition of the pilosebaceous unit characterized by subcutaneous nodules that if untreated can form purulent abscesses, fistulae, and sinus tracts. HS may result from dysregulated autoimmune response to skin flora with overexpression of inflammatory cytokines, such as IL-17A, TNF-a, IL-1B (Shah et al 2017). Although HS and type 1 diabetes both share underlying autoimmune etiologies, and autoimmune diseases have been reported in higher frequencies in HS than controls, co-incidence with type 1 diabetes is extremely rare (Straalen et al 2022). Herein, we describe a case of a patient with type 1 diabetes with recurrent admissions for diabetic ketoacidosis (DKA) secondary to HS flares. Clinical Case: 37-year-old female with medical history of type 1 diabetes, hypogammaglobulinemia, and HS presented with rectal pain and hematochezia. Previously, she had several hospitalizations due to HS flares complicated by episodes of DKA and 20+ corrective surgeries for infected HS lesions. Prior to admission, patient was treated with clindamycin lotion, spironolactone, and weekly adalimumab for HS. Patient’s initial labs showed DKA with glucose 494 mg/dL (RR 60-99 mg/dL), bicarbonate 21 mmol/L (RR 23-30 mmol/L), anion gap 16 mmol/L (RR 6-15 mmol/L), and beta hydroxybutyrate level 1.44 mmol/L (N &amp;lt;0.3 mmol/L). Hemoglobin A1c was 10.4% (RR &amp;lt;5.7%). Physical exam showed Hurley Stage 2 HS with multiple atrophic scars, boils, and double comedones on bilateral axillae. She was treated with insulin infusion and IV fluids. After anion gap closed and bicarbonate improved to 24 mmol/L (RR 23-30 mmol/L), she transitioned to regimen of insulin glargine 38 units and started mealtime insulin lispro using a ratio of 1 unit of lispro for 6 grams of carbs. Subsequent glucose values stabilized, ranging 120-200 mg/dL (RR 60-99 mg/dL) during hospitalization. She underwent colonoscopy due to concern for colonic involvement of HS, however pathology was normal. After multidisciplinary discussion with endocrinology and dermatology specialists, HS treatment with prednisone was avoided due to concern of worsening patient’s glycemic control. Patient started infliximab treatment and reported mild symptom improvement. Conclusion: This case showing a patient with multiple episodes of DKA triggered by flares of HS has demonstrated the importance of further study to improve our current understanding of the potential overlap of these two conditions to help guide future treatment decisions and improve patients’ overall quality of life. Reference: Shah A, Alhusayen R, Amini-Nik S. The critical role of macrophages in the pathogenesis of hidradenitis suppurativa. Inflamm Res. 2017;66(11):931-945. Straalen KR van, Prens EP, Gudjonsson JE (2022) Insights into hidradenitis suppurativa. J Allergy Clin Immun 149(4):1150–1161. Presentation: Thursday, June 15, 2023

THU293 Enhancement Of Best Practices In Diabetic Ketoacidosis Management Using Standardized Order-sets vs Individual Practitioner Orders

Abstract Disclosure: C. Yim: None. Q. Li: None. T.G. Arnason: None. Diabetic ketoacidosis (DKA) is a hyperglycemic emergency occurring in diabetics due to insulin deficiency. This results in urinary losses of water and electrolytes (sodium, potassium, chloride) and ultimately extracellular fluid volume depletion. Hallmark features of DKA include ketoacidosis, arterial pH &amp;lt; 7.3, bicarbonate &amp;lt;15 mmol/L and an anion gap of &amp;gt;12 mmol/L. The 2018 Diabetes Canada (DC) guidelines outline the key steps of DKA management including fluid resuscitation, resolution of ketoacidosis, correction of electrolytes and management of precipitating factors. Its detailed algorithm identifies three pillars to DKA treatment: IV fluids, serum potassium and acidosis. A 2016 DKA outcome audit at the Royal University Hospital (RUH) in Saskatoon identified that practitioners diverged considerably from (2013) Canadian Diabetes Association guidelines. Subsequently, two standardized preprinted DKA order sets were developed incorporating the 2018 DC recommendations for i) INITIAL and ii) MAINTENANCE DKA management. Their rollout overlapped with annual academic half day sessions on DKA management for postgraduate year 1 residents in internal medicine. These order-sets were initially implemented at RUH in November 2018 and subsequently adopted by some practitioners at St. Paul’s Hospital (SPH). To ensure the order-sets were promoting improved outcomes and adhering to best practices, a retrospective chart review was conducted of all adult DKA admissions at RUH and SPH from Nov. 13, 2018 to December 31, 2020. In total, 279 hospital admissions were reviewed: 99 used practitioners’ own orders, 115 used both initial and maintenance order-sets, 26 used only the initial order-set and 38 used only the maintenance order-set. Use of the INITIAL order set significantly improved compliance (p &amp;lt; 0.0001) with DC 2018 guidelines for recommended insulin dose and timing, fluid resuscitation as well as potassium, sodium and dextrose replacement. Use of the MAINTENANCE order set consistently enhanced outcomes for intravenous fluid selection, subcutaneous insulin overlap, and ensuring a closed anion gap at transition (p &amp;lt; 0.0001). Additionally, the chart review revealed that there were hospital differences for uptake of order sets and compliance to DC 2018 guidelines. There was a significant uptake of order sets at RUH versus SPH (p &amp;lt; 0.0001). RUH consistently met outcomes for appropriate insulin dosing, potassium and dextrose replacement (p &amp;lt; 0.0001). RUH also consistently overlapped IV and SC insulin and ensured a closed insulin gap. The anion gap remained consistently closed post-transition at RUH versus SPH (p = 0.035). These results suggest that utilization of a DKA order set does significantly promote adherence to key best practices outlined in the DC 2018 guidelines. Presentation: Thursday, June 15, 2023

Diabetic Ketoacidosis in Northern Jordan: Seasonal Morbidity and Characteristics of Patients.

This study aimed to characterize adult patients admitted with diabetic ketoacidosis (DKA) in northern Jordan. The study examined medical records of patients diagnosed with DKA from January 2015 to April 2018. Variables analyzed included diabetes type, precipitating illness, admission month, hospital length of stay, and biochemical markers. Out of 232 admissions with DKA, 70% were diagnosed with type 2 diabetes, and 56% were females. 12% of admissions had a new diagnosis of diabetes, of which 51% had type 2 diabetes. Sepsis (48%), Non-adherence (26%), and diabetic foot infections (18%) were the most encountered precipitating factors for DKA in T1DM. As for T2DM, sepsis (52%), acute coronary syndrome (12%), and pancreatitis (8%) were the most precipitating factors for DKA. High urea levels, high creatinine levels, low phosphorous levels, low hemoglobin levels, and high platelet counts were associated with a longer hospital stay for type 1 diabetes. For type 2 diabetes, low pH on admission, old age, and high Hb A1c within 6 months of admission were factors associated with a prolonged hospital stay. The study found a significant peak of admissions for DKA in both type 1 and type 2 patients in the winter and spring months (Pearson P-value= 0.0013). The results of the present study highlight the seasonal variation in the frequency of DKA hospitalizations. It also highlights sepsis as the most frequent precipitating factor of DKA in both type 1 and type 2 DM patients.

Epidemiology of Diabetic Ketoacidosis in the Waikato Region of New Zealand: 2000-2019.

Diabetic ketoacidosis (DKA) is not well characterised in New Zealand. This study is aimed at characterising the change in epidemiology and severity of DKA from 2000 to 2019 at a tertiary hospital in the Waikato region of New Zealand. A retrospective clinical data review of all patients admitted to Waikato District Health Board hospitals with DKA was undertaken. Characteristics and severity of DKA were assessed by type of DKA admission (diagnosed at admission, nonrecurrent, and recurrent), ethnicity, social deprivation, intensive care unit (ICU) admission, and length of hospital stay, with linear regression reporting on changes over time. There were 1254 admissions for DKA (564 individual patients), two-thirds being recurrent events. Nonrecurrent DKA patients were younger, whilst recurrent admissions for DKA were associated with T1D, female gender, greater socioeconomic deprivation, and rural living (all P values < 0.01). DKA admission increased 8-fold between 2000 and 2019, mostly due to an increased number of recurrent events, particularly in Māori and female patients (P < 0.001). ICU admissions increased over time (P < 0.001) whilst length of hospital stay trended down (P = 0.031). The rise in recurrent DKA is concerning, particularly in youth and indigenous Māori. Healthcare inequities need to be addressed, including adequate access to mental health support to ensure optimal outcomes for all patients with diabetes.

An "All-Data-on-Hand" Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study.

Although prior research has identified multiple risk factors for diabetic ketoacidosis (DKA), clinicians continue to lack clinic-ready models to predict dangerous and costly episodes of DKA. We asked whether we could apply deep learning, specifically the use of a long short-term memory (LSTM) model, to accurately predict the 180-day risk of DKA-related hospitalization for youth with type 1 diabetes (T1D). We aimed to describe the development of an LSTM model to predict the 180-day risk of DKA-related hospitalization for youth with T1D. We used 17 consecutive calendar quarters of clinical data (January 10, 2016, to March 18, 2020) for 1745 youths aged 8 to 18 years with T1D from a pediatric diabetes clinic network in the Midwestern United States. The input data included demographics, discrete clinical observations (laboratory results, vital signs, anthropometric measures, diagnosis, and procedure codes), medications, visit counts by type of encounter, number of historic DKA episodes, number of days since last DKA admission, patient-reported outcomes (answers to clinic intake questions), and data features derived from diabetes- and nondiabetes-related clinical notes via natural language processing. We trained the model using input data from quarters 1 to 7 (n=1377), validated it using input from quarters 3 to 9 in a partial out-of-sample (OOS-P; n=1505) cohort, and further validated it in a full out-of-sample (OOS-F; n=354) cohort with input from quarters 10 to 15. DKA admissions occurred at a rate of 5% per 180-days in both out-of-sample cohorts. In the OOS-P and OOS-F cohorts, the median age was 13.7 (IQR 11.3-15.8) years and 13.1 (IQR 10.7-15.5) years; median glycated hemoglobin levels at enrollment were 8.6% (IQR 7.6%-9.8%) and 8.1% (IQR 6.9%-9.5%); recall was 33% (26/80) and 50% (9/18) for the top-ranked 5% of youth with T1D; and 14.15% (213/1505) and 12.7% (45/354) had prior DKA admissions (after the T1D diagnosis), respectively. For lists rank ordered by the probability of hospitalization, precision increased from 33% to 56% to 100% for positions 1 to 80, 1 to 25, and 1 to 10 in the OOS-P cohort and from 50% to 60% to 80% for positions 1 to 18, 1 to 10, and 1 to 5 in the OOS-F cohort, respectively. The proposed LSTM model for predicting 180-day DKA-related hospitalization was valid in this sample. Future research should evaluate model validity in multiple populations and settings to account for health inequities that may be present in different segments of the population (eg, racially or socioeconomically diverse cohorts). Rank ordering youth by probability of DKA-related hospitalization will allow clinics to identify the most at-risk youth. The clinical implication of this is that clinics may then create and evaluate novel preventive interventions based on available resources.

Incidence of diabetic ketoacidosis does not differ in Ramadan compared to other months and seasons: results from a 6-year multicenter study

Background Diabetic ketoacidosis (DKA) is a life-threatening adverse complication of patients with diabetes mellitus (DM). It is postulated that fasting during Ramadan can increase the risk of DKA; however, there are contradicting data in this regard. Furthermore, studies from Western countries have suggested a seasonal variation in the incidence of DKA. This study examines the differences in the number of DKA episodes during Ramadan compared to the rest of the year in patients with type 1 DM (T1D) and type 2 DM (T2D). Besides, we aim to examine the seasonal difference in the incidence of DKA. Methods We included consecutive index-DKA admissions from 2015 to 2021 and used descriptive statistics to compare the episodes of DKA in Ramadan vs other months and seasons. Results Of 922 patients, 480 (52%) had T1D, whereas 442 (48%) had T2D. The median age (IQR) was 35 (25–45) years, with the majority being Arab (N = 502, 54.4%). There were 94 DKA admissions in six collective Ramadan months, whereas the DKA admissions ranged from 61 to 88 episodes in other months (p = .3). The highest DKA admissions were observed in Autumn (N = 236) and the lowest in Spring (N = 226) with no statistically significant difference (p = .4). There were no differences in DKA severity or new-onset diabetes rates when analyzed based on Hiji months, Roman months, or seasons. Conclusions DKA occurrence is not increased during Ramadan. We found no evidence of seasonal variations in the rates of DKA in the State of Qatar.

Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform.

The COVID-19 pandemic disrupted healthcare and may have impacted ethnic inequalities in healthcare. We aimed to describe the impact of pandemic-related disruption on ethnic differences in clinical monitoring and hospital admissions for non-COVID conditions in England. In this population-based, observational cohort study we used primary care electronic health record data with linkage to hospital episode statistics data and mortality data within OpenSAFELY, a data analytics platform created, with approval of NHS England, to address urgent COVID-19 research questions. We included adults aged 18 years and over registered with a TPP practice between March 1, 2018, and April 30, 2022. We excluded those with missing age, sex, geographic region, or Index of Multiple Deprivation. We grouped ethnicity (exposure), into five categories: White, Asian, Black, Other, and Mixed. We used interrupted time-series regression to estimate ethnic differences in clinical monitoring frequency (blood pressure and Hba1c measurements, chronic obstructive pulmonary disease and asthma annual reviews) before and after March 23, 2020. We used multivariable Cox regression to quantify ethnic differences in hospitalisations related to diabetes, cardiovascular disease, respiratory disease, and mental health before and after March 23,2020. Of 33,510,937 registered with a GP as of 1st January 2020, 19,064,019 were adults, alive and registered for at least 3 months, 3,010,751 met the exclusion criteria and 1,122,912 were missing ethnicity. This resulted in 14,930,356 adults with known ethnicity (92% of sample): 86.6% were White, 7.3% Asian, 2.6% Black, 1.4% Mixed ethnicity, and 2.2% Other ethnicities. Clinical monitoring did not return to pre-pandemic levels for any ethnic group. Ethnic differences were apparent pre-pandemic, except for diabetes monitoring, and remained unchanged, except for blood pressure monitoring in those with mental health conditions where differences narrowed during the pandemic. For those of Black ethnicity, there were seven additional admissions for diabetic ketoacidosis per month during the pandemic, and relative ethnic differences narrowed during the pandemic compared to the White ethnic group (Pre-pandemic hazard ratio (HR): 0.50, 95% confidence interval (CI) 0.41, 0.60, Pandemic HR: 0.75, 95% CI: 0.65, 0.87). There was increased admissions for heart failure during the pandemic for all ethnic groups, though highest in those of White ethnicity (heart failure risk difference: 5.4). Relatively, ethnic differences narrowed for heart failure admission in those of Asian (Pre-pandemic HR 1.56, 95% CI 1.49, 1.64, Pandemic HR 1.24, 95% CI 1.19, 1.29) and Black ethnicity (Pre-pandemic HR 1.41, 95% CI: 1.30, 1.53, Pandemic HR: 1.16, 95% CI 1.09, 1.25) compared with White ethnicity. For other outcomes the pandemic had minimal impact on ethnic differences. Our study suggests that ethnic differences in clinical monitoring and hospitalisations remained largely unchanged during the pandemic for most conditions. Key exceptions were hospitalisations for diabetic ketoacidosis and heart failure, which warrant further investigation to understand the causes. LSHTM COVID-19 Response Grant (DONAT15912).

Early Intervention by Family Physicians to Delay Type 1 Diabetes.

Type 1 diabetes (T1D) is an autoimmune disease mediated by T cells that target and destroy insulin-producing beta cells. Individuals with genetic risk of T1D will progress at variable rates through 3 stages of immune activation and development of islet autoimmunity. Measuring pancreatic islet cell autoantibodies predicts risk for progression that can take weeks to years before the onset of T1D. Screening options available to family physicians can identify persons at risk or in the early stages of T1D, such as first- and second-degree relatives or those with a family history of autoimmune disorders, to ultimately offer proven interventions that may delay or prevent the condition. Screening can reduce emergency room visits, hospitalizations, and intensive care unit admissions for diabetic ketoacidosis, which can be fatal, and can educate and prepare individuals and families for a smoother transition to insulin therapy when necessary. Recent advances in technology and understanding of the immune pathogenesis of T1D has resulted in emerging disease-modifying therapies that are changing how family physicians approach delaying and potentially preventing or reversing the disease.

1365-P: Recurrent Diabetic Ketoacidosis—Patient Characteristics and Clinical Outcomes in Qatar

Background: Recurrent diabetic ketoacidosis (DKA) is associated with poor clinical outcomes. Objective: We aimed to examine patients’ characteristics and clinical outcomes for patients hospitalized with recurrent DKA in Qatar. Methods: The hospital database was interrogated for patients admitted with DKA to government hospitals in Qatar between 2015 to 2020. Precipitating cause, clinical characteristics, laboratory data, severity of DKA, complications, need for admission to the intensive care unit, length of hospital stay, time to resolution of DKA, and mortality rates were evaluated in patients with recurrent (&amp;gt;1 admission) compared to a single admission. Results: A total of 1612 episodes of DKA, of which 434 patients (26.9%) had recurrent DKA, were evaluated. Compared to patients who had a single admission for DKA, those with recurrent DKA were younger [35.0 (24.0-53.0) vs 39.0 (28.0-54.0) years, p&amp;lt;0.001], more likely to be females (50.6% vs 37.1%, p&amp;lt;0.001), more likely to have type 1 diabetes (47.9% vs. 33.4%, p&amp;lt;0.001), a longer duration of diabetes [12.0 (5.0-19.0 vs 5.0 (0.0-13.0) years, p&amp;lt;0.001], more likely to have severe DKA (48.6% vs 38%, p&amp;lt;0.001), with a shorter time to resolution of DKA [12.5 (9.0-24.0) vs 23.0 (10.0-33.0) hours, p&amp;lt;0.001]. There was no difference in the precipitating cause of DKA, need for admission to the intensive care unit, hospital stay or inpatient mortality. On multivariable logistic regression analysis, significant predictors of occurrence of recurrent DKA were younger age (OR, 0.96; 95% CI, 0.95-0.98; p= 0.0001), female gender (OR, 0.63; 95% CI, 0.46-0.85; p= 0.003) and longer duration of diabetes (OR, 1.07; 95% CI, 1.04-1.09, p= 0.0001). Conclusion: In this cohort study, recurrent DKA was associated with younger age, female predominance and longer duration of diabetes. However, hospital course and inpatient mortality rates did not differ from those with a single admission for DKA. Disclosure M.Eledrisi: None. I.Alabdulrazzak: None. H.M.Alkabbani: None. M.K.Aboawon: None. A.A.Ali: None. M.F.Elhaj: None. A.O.E.Ahmed: None. H.Alqahwachi: None. R.A.Malik: None.

1060-P: After-Hours Nurse Line Utilization Decreased Call Burden in an Academic Pediatric Endocrinology Practice

Background: Optimal management of childhood diabetes benefits from access to a 24-hour support line. If staffed by on-call physicians, repeated interruptions to sleep can lead to physician burn out. Utilization, and outcomes of an after-hours nurse call service in a pediatric endocrinology practice have not been previously reported. Methods: Barton Schmitt guidelines, which are widely accepted as the standard for telephone triage care, were modified to include our institution specific diabetes management protocols. We analyzed demographics, reasons for call, clinical presentation to the emergency room, and clinical disposition of the callers. Results: After we instituted our after-hours nurse triage service (September 2019), the call burden to the on-call physicians decreased by 70%. Patients who called the after-hours line before coming to the emergency room were less sick (higher pH and lower glucose) and were more likely to be discharged home. We cannot infer causality from our data. Nevertheless, given that &amp;lt;10% of patients called first, encouraging earlier and more consistent utilization of the nurse line seems like a low-cost intervention that might reduce hospital admissions for diabetic ketoacidosis. After-hours service was utilized well by our patients of all races and insurance statuses. We noted that language was a barrier in utilization which is an opportunity for improvement. Disclosure A.Choudhary: None.