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Aims: To assess the clinical features and outcomes of patients diagnosed with DKA who were hospitalized for conditions outside of internal medicine., Methods: Retrospective analysis of admissions for DKA in adult patients between 2005 and 2022 at a tertiary hospital in Israel. Patients with DKA were stratified into medical vs non-medical groups, the primary outcome was in-hospital mortality., Results: 429 patients were included in the study, 385 patients (89.7 %) were treated by an internal medicine team, while 44 patients (10.3 %) were hospitalized with surgical or obstetrical conditions. Patients in the non-internal medicine group were older (52 ± 18.9 vs 43.6 ± 20.4, p < 0.005) and had higher rates of diabetes complications such as chronic ischemic heart disease (20.5 % vs. 4.2 %, p < 0.0001) and chronic kidney disease (50 % vs. 3.4 %, p < 0.001). Glucose level on presentation was lower for non-internal medicine patients (398 ± 221 mg/dL vs 551 ± 180 mg/dL) and outcomes of mechanical ventilation and length of hospitalization were more severe (29.5 % vs. 6 %, p < 0.001 and 8.0 vs. 3.0, p < 0.001). Multivariate analysis demonstrated that composite outcome of in-hospital mortality, ICU admission and longer hospitalization was more likely in the non-internal medicine group (OR 3.99, CI 1.89-8.4, p < 0.001)., Conclusion: DKA is a universal pathology that concerns various medical fields. It is essential for every clinician to be familiar with this condition. Patients diagnosed with DKA who were hospitalized for conditions outside of internal medicine may be at high risk and may present with lower glycemic levels. Future research is needed to characterize the unique features of subgroups of patients with DKA., Competing Interests: Declaration of competing interest This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

A woman in her 30s presented with a 3-day history of nausea, vomiting and abdominal pain. She was found to be in ketoacidosis with an elevated serum glucose level of 18.2 mmol/L (328 mg/dL). Based on her initial presentation and test results, she was believed to have new onset diabetic ketoacidosis (DKA) from previously undiagnosed diabetes. Subsequently, she was found to have acidosis caused by acute or chronic alcohol consumption, even though her serum glucose was higher than would be typically expected with alcohol abuse. Alcoholic ketoacidosis usually has lower glucose levels as well as retained mental function when compared with DKA. A haemoglobin A1c, fructosamine level, betahydroxybutyrate to acetoacetate ratio, C-peptide and antibodies to pancreatic beta-cells can help rule out diabetes as the aetiology of the ketoacidosis. This patient was treated with fluids and electrolyte replacement, showed rapid improvement, received alcohol cessation resources and was discharged home., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2024. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Immune checkpoint inhibitors (ICIs) are becoming more frequently used in the treatment of many types of malignant cancers by disinhibiting T-cell activation, which promotes the destruction of cancer cells. This disinhibition can also result in autoimmune conditions, like endocrinopathies., Case: We report a case of a 78-year-old male patient with malignant mesothelioma treated with combination ICI therapy who presented with diabetic ketoacidosis (DKA) with no history of diabetes mellitus or hyperglycemia. The patient was admitted to the intensive care unit and treated with intravenous (IV) fluid repletion and IV insulin for DKA. The patient was diagnosed with new-onset type 1 diabetes mellitus (T1DM) induced by ICI therapy., Discussion: Approximately 75% of patients diagnosed with ICI-induced T1DM initially present with DKA. This, along with the rapid onset of hyperglycemia in this patient, suggests current guidelines for monitoring blood glucose are inadequate. Current guidelines recommend monitoring blood glucose at the following times: baseline, at the initiation of each cycle for 12 weeks, and then every 3-6 weeks thereafter. We propose the following schedule for monitoring blood glucose in patients receiving ICI therapy: baseline, twice weekly for the first six cycles, and then once weekly thereafter. This proposed update is supported by our patient's rapid onset of hyperglycemia and other case reports and reviews showing that most patients with this diagnosis have an initial presentation of DKA. Detecting hyperglycemia and starting treatment early is important in the prevention of acute complications from uncontrolled T1DM, like DKA., Conclusion: This case adds to the existing body of literature and provides support for more frequent monitoring of blood glucose in patients receiving ICI therapy. Blood glucose monitoring is a simple, reliable, low risk, and inexpensive laboratory test that should be used in patients receiving ICI therapy to ensure prompt diagnosis and treatment of T1DM., (© 2024 The Author(s). Cancer Reports published by Wiley Periodicals LLC.)

Diabetic ketoacidosis (DKA) is a life-threatening complication of type 1 and type 2 diabetes resulting from an absolute or relative insulin deficiency. It can occur in patients of all ages and can be the initial presentation of diabetes, especially in young children. Polyuria and polydipsia are the most common symptoms, followed by nausea, vomiting, abdominal pain, weight loss, severe fatigue, dyspnea, and preceding febrile illness. Traditionally, DKA has been diagnosed by the triad of hyperglycemia (blood glucose greater than 250 mg/dL), metabolic acidosis (pH less than 7.3, serum bicarbonate less than 18 mEq/L, anion gap greater than 10 mEq/L), and elevated serum (preferred) or urine ketones. However, hyperglycemia has been de-emphasized in recent guidelines because of the increasing incidence of euglycemic DKA. The use of sodium-glucose cotransporter-2 inhibitors modestly increases the risk of DKA and euglycemic DKA. Electrolytes, phosphate, blood urea nitrogen, creatinine, urinalysis, complete blood cell count with differential, A1C, and electrocardiography should be evaluated for all patients diagnosed with DKA to identify causes and complications of DKA. Amylase, lipase, hepatic transaminase levels, troponin, creatine kinase, blood and urine cultures, and chest radiography are additional tests to consider. Treatment involves fluid and electrolyte replacement, insulin, treatment of precipitating causes, and close monitoring to adjust therapy and identify complications. Prevention strategies include identifying diabetes before DKA develops, educating patients to manage high-risk situations, and ensuring uninterrupted access to therapies for diabetes.

Aim: One third of Australian children diagnosed with type 1 diabetes present with life-threatening diabetic ketoacidosis (DKA) at diagnosis. Screening for early-stage, presymptomatic type 1 diabetes, with ongoing follow-up, can substantially reduce this risk (<5% risk). Several screening models are being trialled internationally, without consensus on the optimal approach. This pilot study aims to assess three models for a routine, population-wide screening programme in Australia., Methods: An implementation science-guided pilot study to evaluate the feasibility, acceptability and costs of three screening models in children will be conducted between July 2022 and June 2024. These models are as follows: (1) Genetic risk-stratified screening using newborn heel prick dried bloodspots, followed by autoantibody testing from 11 months of age; (2) genetic risk-stratified screening of infant (6-12 months) saliva followed by autoantibody testing from 10 months of age; and (3) autoantibody screening using capillary dried bloodspots collected from children aged 2, 6 or 10 years. Cohorts for each model will be recruited from targeted geographic areas across Australia involving ≥2 states per cohort, with a recruitment target of up to 3000 children per cohort (total up to 9000 children). The primary outcome is screening uptake for each cohort. Secondary outcomes include programme feasibility, costs, parental anxiety, risk perception, satisfaction, well-being and quality of life, and health professional attitudes and satisfaction., Conclusions: This pilot is the first direct comparison of three screening implementation models for general population screening. Findings will provide evidence to inform a potential national screening programme for Australian children., Trial Registration: ACTRN12622000381785., (© 2024 The Author(s). Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.)

BACKGROUND Incidental findings of renal infarct secondary to thrombosis in acutely ill patients present a unique challenge in diagnosis. We present a case of idiopathic renal infarct to highlight its workup and management and encourage further investigation of renal infarctions. CASE REPORT A 68-year-old woman with a past medical history of diet-controlled diabetes, hypertension, and hyperlipidemia presented to the Emergency Department (ED) for abdominal pain. She was found to be in diabetic ketoacidosis with pyelonephritis, so she was admitted to the Intensive Care Unit (ICU) for insulin and dextrose drip. Due to her abdominal pain, she underwent computed tomography (CT) of her abdomen and pelvis with contrast. This revealed multifocal infarcts of her right kidney with noncalcified thrombus at the proximal right renal artery. Subsequent CT angiography confirmed a right renal artery thrombus. She was started on subcutaneous enoxaparin and downgraded to basic level of care. Her history was negative for prior thrombosis, hypercoagulable state, and abdominal trauma. Echocardiogram and limited hypercoagulable workup were largely unremarkable. A multidisciplinary team evaluated the patient and recommended no surgical intervention. Following downgrade from the ICU, the patient was transitioned from enoxaparin to apixaban. She was discharged with plans for anticoagulation for 6 months, aspirin daily, and repeat CT angiogram abdomen/pelvis in 1 month. CONCLUSIONS This case illustrates the difficulties in elucidating the cause of incidental renal thrombosis in an acutely ill patient. Diagnostic workup is limited in the inpatient setting, but therapeutic anticoagulation remains the standard of treatment regardless of etiology.

Immune checkpoint inhibitors (ICIs) have radically altered cancer treatment, but immune toxicities called immune-related adverse events (irAEs), particularly endocrine toxicities, such as acute-onset diabetes and thyroid dysfunction, pose challenges. Although most irAEs have mild-to-moderate severity, failure to diagnose and treat them promptly can result in life-threatening complications. This report presents the case of a 50-year-old woman who developed ICI-induced diabetes mellitus (ICI-DM) during sintilimab treatment for advanced cervical carcinoma. The patient experienced repeated episodes of diabetic ketoacidosis (DKA) and subclinical hypothyroidism. Unlike the case of patients with typical type 1 diabetes mellitus (T1DM), our patient tested negative for β cell autoantibodies and progressed rapidly. Prompt recognition and insulin treatment are crucial for helping patients overcome such crises. Eventually, sintilimab was discontinued, and chemotherapy was initiated. This case report contributes to our understanding of ICI-DM. The significance of monitoring thyroid function and blood glucose levels before initiating ICI treatment to identify irAEs early and effectively manage them are important considerations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Cai and Feng.)

Diabetic ketoacidosis (DKA) and hyperosmolar hyperglycaemic state (HHS) are both diabetic emergencies that require immediate identification and intervention. Advanced clinical practitioners (ACPs) play a crucial role in the early detection, management and co-ordination of care for patients with these conditions, although some may feel less confident in handling such complex cases. This clinical review explores the role of ACPs in managing DKA and HHS, focusing on their responsibilities in diagnosis, treatment initiation, and communication within multidisciplinary teams. It also examines the epidemiology, pathogenesis, risk factors, and causes of these conditions, alongside diagnostic criteria and management strategies. In addition, the review highlights the importance of minimising risks and preventing recurrence to ultimately enhance patient outcomes.

Objective: The aim of this study was to identify factors associated with severe diabetic ketoacidosis (DKA) at the onset of type 1 diabetes mellitus (T1DM) in adult patients., Methods: We conducted a retrospective analysis over a 10-year period including adults newly diagnosed with T1DM. Eligible participants were diagnosed with DKA at the time of T1DM diagnosis. DKA severity was categorized as mild, moderate, or severe. Data were collected on age, body mass index, family history of diabetes and autoimmune disorders, lifestyle habits, delayed diagnosis, and preceding factors., Results: A total of 305 participants (69.8% men) with T1DM were included. Overall, 63 patients were admitted with severe DKA (Group 1) and 242 with non-severe DKA (Group 2). Factors associated with severe DKA at diagnosis of T1DM were a long period between symptom onset and first hospitalization, preceding infection, tachypnea, thrombocytopenia, anemia, hepatic cytolysis, polyuria, and tachycardia., Conclusions: The present findings highlight the need for improving awareness about diabetes symptoms among physicians and the public to reduce the occurrence and severity of DKA at the onset of T1DM., Competing Interests: Declaration of conflicting interestThe authors declare that there is no conflict of interest.

Background: Diabetic ketoacidosis (DKA) is a life-threatening emergency that can result from delayed diagnosis of type 1 diabetes mellitus (T1DM). Three-quarters of Australian children with a new diagnosis of T1DM visit their general practitioner (GP) the week prior to developing DKA, with similar trends observed internationally., Objective: To summarise interventions in general practice to reduce diagnostic delay in paediatric T1DM and to evaluate their effectiveness., Methods: Six databases (Ovid, Web of Science, CINAHL, Evidence-Based Medicine Reviews, Google Scholar and EMBASE) were searched. Any English language, less than 20 years study involving interventions targeting GPs specifically in the prevention of paediatric DKA, was included. Primary outcomes were (a) the number of children presenting to the hospital in DKA following diagnostic delay after a GP visit and (b) DKA rate. The secondary outcome was changes in GPs' behaviour regarding timeliness of referrals. Two reviewers completed title, abstract and full-text review, with conflicts resolved by a third reviewer. ROBINS-I risk of bias was used for appraisal. High heterogeneity among studies rendered meta-analysis unsuitable. Structured tabulation of results was completed for analysis. The date of last search was 2 July 2023., Results: Eight studies were included (three conference abstracts and five peer-reviewed publications.) We identified six intervention types attempting to facilitate timely diagnosis of type 1 diabetes in the general practice setting: direct communication, indirect communication, education sessions, electronic clinical decision support tools, updated referral pathways and provision of glucose and/or ketone monitors. Due to the limited number of peer-reviewed studies identified by this review, we were not able to identify the extent to which these interventions were successful., Conclusion: Paucity of information regarding study methodology and high heterogeneity among study design and outcome measures limited our conclusions regarding acceptability, effectiveness and reach. Future studies should include GPs in their design and consider the sustainability of interventions in the long term., Prospero Registration Number: CRD42023412504., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objective: This study was conducted to evaluate the effects of early clinical diagnosis of type 1 diabetes by comparison of clinical parameters at diagnosis and during follow-up in patients with pediatric type 1 diabetes with early, intermediate, and late diagnosis., Research Design and Methods: In a population-based analysis, data on 14,292 pediatric patients with type 1 diabetes diagnosed between 2015 and 2019 were retrieved from the Diabetes Prospective Documentation (DPV) registry in March 2023. Patients were divided into four groups: one with diabetic ketoacidosis (DKA) at diagnosis and three with early, intermediate, or late diagnosis based on age-dependent HbA1c terciles. Laboratory-measured HbA1c values and those estimated from continuous glucose monitoring were aggregated as a combined glucose indicator (CGI). Insulin dose-adjusted CGI values <9% were defined as partial remission., Results: At diagnosis, patients had a median age of 9.8 years (IQR 6.8; 13.0). Three years later, patients with early diagnosis had lower CGI than patients with late diagnosis or DKA (mean [95% CI] 7.46% [7.40; 7.53] vs. 7.81% [7.75; 7.87] or 7.74% [7.68; 7.79], respectively; each P < 0.001). More patients experienced partial remission (12.6% [11.0; 14.4] vs. 9.1% [7.7; 10.7] or 8.6% [7.3; 10.0]; each P < 0.001), and 11.7% [10.2; 13.5] of patients with intermediate diagnosis were in partial remission., Conclusions: Early clinical diagnosis of type 1 diabetes may be beneficial for metabolic control and remission after 3 years of follow-up. Patients diagnosed early may represent a distinct group with better resources or with a different disease biology and slower β-cell destruction, which needs further evaluation., (© 2024 by the American Diabetes Association.)

Aim: To provide guidance for follow-up and monitoring of children and adolescents identified as positive to islet autoantibodies (IA) in the general population screening for type 1 diabetes (T1D) in Italy., Methods: Detection of IA helps to diagnose pre-symptomatic T1D, prevent diabetic ketoacidosis (DKA) and identify persons for new therapies to delay symptomatic diabetes. Italy recently became the first country to approve by law a general autoantibody screening program for T1D and celiac disease in all children and adolescents (age 1-17yr). A pilot study is currently underway in four Italian regions addressing feasibility issues to be used in the scale up to nationwide screening. Meanwhile, a group of experts developed guidance recommendations for follow-up and monitoring of identified IA positive persons., Results: Ten key components have been identified: establishment of a registry for children and adolescents at risk; close collaboration with the national network of family paediatricians; creation of T1D centers with expertise in follow-up and monitoring; educational measures; assurance of solid IA tests; identification of appropriate metabolic tests; feed-back feasibility and acceptability questionnaires; potential access to available therapeutic interventions; valuable outcome measures including DKA incidence; costs monitoring. Distinctive features of this program include single (in addition to multiple) IA antibody-positive persons in follow-up and the use of CGM to assess risk progression, rather than the cumbersome OGTT., Conclusion: It is expected that the proposed follow-up and monitoring program will be effective, affordable and acceptable to children and families identified in general T1D screening in Italy., (© 2024 John Wiley & Sons Ltd.)

Rationale: Acromegaly, predominantly resulting from a pituitary adenoma, is marked by excessive secretion of growth hormone (GH) and insulin-like growth factor-1 (IGF-1). However, normalization of blood glucose levels posttreatment is rarely achieved. This case study aims to highlight the diagnostic challenges posed by overlapping symptoms of acromegaly and diabetes, emphasizing the importance of precise diagnosis and effective treatment strategies for optimal patient outcomes., Patient Concerns: A 22-year-old male was hospitalized for diabetic ketoacidosis and exhibited classic signs of acromegaly, such as enlarged hands and feet, and distinct facial changes., Diagnoses: The patient's diagnosis of acromegaly, attributed to a pituitary adenoma, was confirmed through clinical observations, laboratory findings (notably raised serum GH and IGF-1 levels, and absence of GH suppression after glucose load during an OGTT), and pituitary MRI scans., Interventions: The patient underwent 2 surgical tumor resections followed by gamma knife radiosurgery (GKRS). After treatment, GH, IGF-1, and blood glucose levels normalized without further need for hypoglycemic intervention., Outcomes: Posttreatment, the patient achieved stable GH, IGF-1, and blood glucose levels. The hyperglycemia was attributed to the GH-secreting tumor, and its resolution followed the tumor's removal., Lessons: This case emphasizes the need for comprehensive assessment in patients with acromegaly to address coexisting diabetic complications. Surgical and radiotherapeutic management of acromegaly can lead to significant metabolic improvements, highlighting the importance of interdisciplinary care in managing these complex cases., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

This study examined the potential correlation between the immoderate intake of sugar-sweetened beverages (SSBs) and the subsequent rate of diabetes remission (DR). 206 individuals who met the eligibility criteria between January 2019 and June 2022 were recruited. Inquiries were conducted to gather information on the participants' beverage consumption before the onset. Subsequently, the participants were separated into the diabetes remission group (DR group) and nondiabetes remission group (NDR group) depending on whether they met the diagnostic criteria for diabetes remission. Baseline clinical elements within the two groups were juxtaposed, and factors influencing diabetes remission were identified through logistic regression analyses. The cutoff values of each critical factor were determined based on the receiver operating characteristic curve. One hundred and nine patients reported a history of SSB consumption, while the remaining 58 reported no such history. After 1 year, 40 patients achieved remission from diabetes. Compared with the NDR group, a higher SSBs ratio, body mass index (BMI), and blood creatinine (BCr) was observed in the DR group after adjusting for confounders, SSBs (odds ratio [OR] = 3.503; 95% confidence interval [CI] = 1.334-9.202; p = 0.011) and BCr (OR = 1.038; 95% CI = 1.003-1.079; p = 0.042) emerged as independent predictors of DR. The composite index of SSBs and BCr efficaciously predicted DR (area under the ROC curve [AUC] = 0.810, p < 0.001). SSBs and BCr were independent risk factors for DR. The amalgamation of these markers could more accurately predict DR.

Elevated blood ketone levels (ketosis) in inpatients with diabetes can herald diabetic ketoacidosis (DKA). However, ketosis can also occur in individuals without diabetes in certain settings. It is unclear what proportion of inpatients with ketosis are in DKA and which patients are at the highest risk of DKA. This study determined that many ketone tests are performed in individuals at low risk of DKA, and a β-hydroxybutyrate <1.0 mmol/L had a low incidence of DKA and less need for escalation in their management., (© 2024 Royal Australasian College of Physicians.)

Type 2 diabetes (T2DM) incidence and prevalence are increasing in pediatrics. All children aged > 10 years or postpubertal should be screened in primary care for T2DM if they are overweight with one risk factor or have signs of insulin resistance or associated conditions. Classifying pediatric diabetes is challenging. An accurate, timely diagnosis is critical to optimize care, as children with T2DM are at risk for more severe disease as adults. We describe a 10-year-old female referred to endocrine following abnormal laboratory results in primary care. Despite the initial presentation of diabetic ketoacidosis, the child was diagnosed with T2DM., Competing Interests: CONFLICTS OF INTEREST None to report., (Copyright © 2023 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.)

Purpose: We aimed to assess factors associated with the presence and severity of ketoacidosis (DKA) at pediatric type 1 diabetes (T1DM) diagnosis, in relation to pancreatic, associated and familial autoimmunity., Methods: Antibodies against pancreatic beta-cells, organ specific autoantibodies (thyroid, celiac, and parietal) and family history of autoimmunity were retrospectively evaluated in 116 T1DM patients aged 11.9 ± 4.6 (mean ± SD) years, with disease duration 7.62 ± 3.67 years (mean ± SD)., Results: Most patients (67.2%) presented with DKA at diagnosis. Younger children (< 2 years) had tenfold risk of DKA, compared to older children (12.1-15 years) (OR = 10.8, 95% CI: 1.0-116.9, P = 0.05). Fasting c-peptide levels were lower in the DKA group (OR = 0.26, 95% CI = 0.07-0.89, P = 0.033). The number of anti-pancreatic antibodies at disease onset did not show any significant correlations with the presence (p = 0.889) or severity of DKA (p = 0.863). All patients with multiple autoimmunity (> 2 autoimmune diseases plus T1DM) presented with DKA. Familial autoimmunity acted protectively against DKA manifestation (OR = 0.40, 95% CI = 0.16-1.0, P = 0.051)., Conclusions: Among newly diagnosed T1DM patients, 67.2% presented with DKA. Younger age, lower c-peptide and the presence of associated autoimmunity were predictive factors of the presence and severity of DKA at diagnosis. High degree of suspicion, due to family history, may prevent DKA development and severity., (© 2023. The Author(s).)

Aim: To determine whether it was feasible, safe and acceptable for ambulance clinicians to use capillary blood ketone meters for 'high-risk' diabetic ketoacidosis (DKA) recognition and fluid initiation, to inform the need for a full-powered, multi-centre trial., Methods: Adopting a stepped-wedge controlled design, participants with hyperglycaemia (capillary blood glucose >11.0 mmol/L) or diabetes and unwell were recruited. 'High-risk' DKA intervention participants (capillary blood ketones ≥3.0 mmol/L) received paramedic-led fluid therapy. Participant demographic and clinical data were collated from ambulance and hospital care records. Twenty ambulance and Emergency Department clinicians were interviewed to understand their hyperglycaemia and DKA care experiences., Results: In this study, 388 participants were recruited (Control: n = 203; Intervention: n = 185). Most presented with hyperglycaemia, and incidence of type 1 and type 2 diabetes was 18.5% and 74.3%, respectively. Ketone meter use facilitated 'high-risk' DKA identification (control: 2.5%, n = 5; intervention: 6.5%, n = 12) and was associated with improved hospital pre-alerting. Ambulance clinicians appeared to have a high index of suspicion for hospital-diagnosed DKA participants. One third (33.3%; n = 3) of Control and almost half (45.5%; n = 5) of Intervention DKA participants received pre-hospital fluid therapy. Key interview themes included clinical assessment, ambulance DKA fluid therapy, clinical handovers; decision support tool; hospital DKA management; barriers to hospital DKA care., Conclusions: Ambulance capillary blood ketone meter use was deemed feasible, safe and acceptable. Opportunities for improved clinical decision making, support and safety-netting, as well as in-hospital DKA care, were recognised. As participant recruitment was below progression threshold, it is recommended that future-related research considers alternative trial designs., Clinicaltrials: gov: NCT04940897., (© 2024 The Author(s). Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.)

Competing Interests: The authors report no conflicts of interest.

Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb + ) children and adults who are at risk of (confirmed single IAb + ) or living with (multiple IAb + ) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb + ; (2) when people who are IAb + are initially identified there is a need for confirmation using a second sample; (3) single IAb + individuals are at lower risk of progression than multiple IAb + individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care., (© 2024. American Diabetes Association and European Association for the Study of Diabetes.)

Aims: To assess the comparative cardiovascular and renal effectiveness and safety of empagliflozin vs. dapagliflozin among patients with type 2 diabetes in routine clinical practice., Methods and Results: Cohort study using data from nationwide registers in Sweden, Denmark, and Norway, from June 2014 to June 2021 included 141 065 new users of empagliflozin and 58 306 new users of dapagliflozin. Coprimary outcomes were major cardiovascular events (myocardial infarction, stroke, and cardiovascular death), heart failure (hospitalization or death because of heart failure) and serious renal events (renal replacement therapy, hospitalization for renal events, and death from renal causes). Secondary outcomes were the individual components of the primary outcomes, any cause death, and diabetic ketoacidosis. Use of empagliflozin vs. dapagliflozin was associated with similar risk of major cardiovascular events [adjusted incidence rate: 15.9 vs. 15.8 events per 1000 person-years; HR 1.02, (95% confidence interval 0.97-1.08)], heart failure [6.5 vs. 6.3 events per 1000 person-years; HR 1.05 (0.97-1.14)] and serious renal events [3.7 vs. 4.1 events per 1000 person-years; HR 0.97 (0.87-1.07)]. In secondary outcome analyses, the HRs for use of empagliflozin vs. dapagliflozin were 1.00 (0.93-1.07) for myocardial infarction, 1.03 (0.95-1.12) for stroke, 1.01 (0.92-1.13) for cardiovascular death, 1.06 (1.00-1.11) for any cause death, 0.77 (0.60-0.99) for renal replacement therapy, 1.20 (0.75-1.93) for renal death, 1.01 (0.90-1.12) for hospitalization for renal events and 1.12 (0.94-1.33) for diabetic ketoacidosis., Conclusion: Use of empagliflozin and dapagliflozin was associated with similar risk of cardiovascular and renal outcomes, mortality, and diabetic ketoacidosis., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Objective and Background: The early detection of diabetic ketoacidosis (DKA) in patients with type 2 diabetes (T2D) plays a crucial role in enhancing outcomes. We developed a nomogram prediction model for screening DKA in T2D patients. At the same time, the input variables were adjusted to reduce misdiagnosis., Methods: We obtained data on T2D patients from Mimic-IV V0.4 and Mimic-III V1.4 databases. A nomogram model was developed using the training data set, internally validated, subjected to sensitivity analysis, and further externally validated with data from T2D patients in Aviation General Hospital., Results: Based on the established model, we analyzed 1885 type 2 diabetes patients, among whom 614 with DKA. We further additionally identified risk factors for DKA based on literature reports and multivariate analysis. We identified age, glucose, chloride, calcium, and urea nitrogen as predictors in our model. The logistic regression model demonstrated an area under the curve (AUC) of 0.86 (95%CI: 0.85-0.90]. To validate the model, we collected data from 91 T2D patients, including 15 with DKA, at our hospital. The external validation of the model yielded an AUC of 0.68 (95%CI: 0.67-0.70). The calibration plot confirmed that our model was adequate for predicting patients with DKA. The decision-curve analysis revealed that our model offered net benefits for clinical use., Conclusions: Our model offers a convenient and accurate tool for predicting whether DKA is present. Excluding input variables that may potentially hinder patient compliance increases the practical application significance of our model., (© 2024. The Author(s).)

Introduction: There is little published information on type 1 diabetes (T1D) in children in Yemen. We aimed to identify the clinical characteristics, biomarkers and diabetic ketoacidosis (DKA) at diagnosis of T1D among children and adolescents in a diabetes centre in Sana'a, Yemen., Methods: A total of 485 children and adolescents aged ≤18 years diagnosed with T1D during the period 2010-2020 were included in the study. The variables investigated were demographic and clinical characteristics, biomarkers, subtypes of T1D, and the risk factors for severe DKA at diagnosis., Results: At diagnosis, children aged <10 years compared with those aged ≥10 years had higher mean plasma glucose (p<0.001) and mean HbA1c (p=0.026), and lower mean C-peptide (pmol/L) (p=0.019), and a higher frequency of DKA at diagnosis than older children (p<0.001). A majority of the study population (383, 79%) presented in DKA . Children aged <10 years presenting with DKA had significantly longer median appraisal interval (p=0.009) and median total diagnosis interval (p=0.025), and significantly lower mean C-peptide (p=0.001) as compared with their peers without DKA. The prevalence of autoantibody-negative 'idiopathic' T1D was 36 (32%) of the total number tested for autoantibody and familial T1D 61 (12.6%) of all the study population., Conclusion: In Yemen children aged <10 years with new-onset T1D frequently faced the challenge of a delay in diagnosis and treatment initiation, with severe hyperglycaemia and a higher risk of DKA at diagnosis., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Maturity-onset diabetes of the young (MODY) is the most frequent monogenetic diabetes form. It is caused by mutations in genes important for the development and function of pancreatic beta-cells, resulting in impaired insulin secretion capacity. Up to now, 14 different types have been described. The inheritance pattern is autosomal dominant, leading to a strong family history with more than three affected generations. Young age at diagnosis and lack of pancreatic autoantibodies are further characteristics of MODY. The presence of diabetic ketoacidosis (DKA) was long regarded as an exclusion criterion for MODY. However, in recent years, several case reports on MODY patients presenting with DKA have been published. The present study aimed to give an overview of the current knowledge of DKA in MODY patients, with a collection of published case studies as a prerequisite for this review., Competing Interests: The author declares that he has no conflict of interest., (Thieme. All rights reserved.)

Introduction. The COVID-19 pandemic impacted on the health care of patients with type 1 diabetes mellitus (DM1). An increase in diabetic ketoacidosis (DKA) as a form of diagnosis was reported. Objectives. To assess whether there were changes in the time from symptom onset, the causes of hospitalization due to DM1, and the proportion of severe forms, and to describe SARS-CoV-2 infection in these patients. Population and methods. Cross-sectional study in patients younger than 19 years hospitalized due to DM1 from March 2018 to August 2019 (pre-pandemic) and from March 2020 to August 2021 (pandemic). Results. The assessment included 135 hospitalizations in the pre-pandemic period and 96 during the pandemic. The time from symptom onset during the pandemic in those with debut of diabetes was shorter than in the pre-pandemic period (18.8 ± 10.2 versus 52.1 ± 12.1 days, respectively; p < 0.001). Hospitalizations due to all forms of diabetes debut and debut with DKA were more common during the pandemic than before it (59.4% versus 39.3%; odds ratio [OR]: 2.3; 95% confidence interval [CI]: 1.3-3.8; p = 0.003 and 40.6% versus 20.7%; OR: 2.6; 95% CI: 1.4-5.2; p = 0.006, respectively). Severe forms of DKA did not change between both periods (48.1% versus 59.9%; p = 0.3). Only 6 patients developed SARS-CoV-2 infection; 3 were severe. Conclusion. During the pandemic, the time from symptom onset decreased and the frequency of hospitalizations due to debut of DM1 increased. The proportion of severe forms of DKA did not change., (Sociedad Argentina de Pediatría.)

Diabetic ketoacidosis (DKA), a severe complication of type 1 diabetes (T1D), is triggered by production of large quantities of ketone bodies, requiring patients with T1D to constantly monitor their ketone levels. Here, a skin-compatible hydrogel microneedle (HMN)-continuous ketone monitoring (HMN-CKM) device is reported. The sensing mechanism relies on the catechol-quinone chemistry inherent to the dopamine (DA) molecules that are covalently linked to the polymer structure of the HMN patch. The DA serves the dual-purpose of acting as a redox mediator for measuring the byproduct of oxidation of 3-beta-hydroxybutyrate (β-HB), the primary ketone bodies; while, also facilitating the formation of a crosslinked HMN patch. A universal approach involving pre-oxidation and detection of the generated catechol compounds is introduced to correlate the sensor response to the β-HB concentrations. It is further shown that real-time tracking of a decrease in ketone levels of T1D rat model is possible using the HMN-CKM device, in conjunction with a data-driven machine learning model that considers potential time delays., (© 2024 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.)

Maturity-onset diabetes of the young (MODY) is a clinically heterogeneous group of monogenic diabetes characterized by onset at a young age and an autosomal dominant mode of inheritance. Notably, MODY accounts for 2%-5% of all diabetes cases, and its distinction from types 1 (T1DM) and 2 (T2DM) diabetes mellitus is often challenging. We report herein the cases of two girls and a boy who presented initially with diabetic ketoacidosis. In view of the strong family history of diabetes in all three of them, the diagnosis of MODY was considered and confirmed by molecular testing. The patient in Case 1 (a 10-year-old girl) had a variation in the HNF1A gene (MODY 3). The patient in Case 2 (a 13-year-old girl) had a variation in the HNF1B gene (MODY 5) and was also clinically diagnosed with HNF1B MODY due to short stature, abnormal renal function, renal cysts, unicornuate uterus, and diabetic ketoacidosis at presentation. The patient in Case 3 (a 14-year-old boy) had a variation in the KCNJ11 gene (MODY 13) and presented with diabetic ketoacidosis; after initially being treated as having T1DM, he developed progressive weight gain, acanthosis nigricans, and decreased requirement of insulin. The patients in Cases 1 and 3 were subsequently treated with oral sulfonylureas and insulin was gradually tapered and interrupted, resulting in drastic improvement in glucose control. The patient in Case 2 remained on insulin, as this is the appropriate management for MODY 5. This case series demonstrates that atypical cases of MODY with ketoacidosis do occur, underscoring the potential for this complication within the phenotypic spectrum of MODY. In patients with atypical presentations, a thorough family history taking may reveal the diagnosis of MODY., Competing Interests: Disclosure: no potential conflict of interest relevant to this article was reported.

A 35-year-old otherwise healthy gentleman from Togo, was referred as a 'walk-in' to our clinic with polyuria and polydipsia, and a glycated haemoglobin (Hba1c) of 119 mmol/mol (13.1%). The patient also noted 5kg weight loss over a short span of time. He had a significant family history of Type 2 Diabetes Mellitus (T2DM). Initial blood tests revealed a blood glucose of 22.84 mmol/L, with positive ketones (1.2 mmol/L). Urinalysis showed glycosuria (1000 mg/dL) but was negative for nitrites and white cells. Renal, liver and thyroid function tests were all within normal limits. He had mild metabolic acidosis.

Background: Prognosis of DKA has improved over time with the availability of evidence-based protocols and resources. However, in Kenya, there are limited resources for the appropriate diagnosis and management of DKA, mostly limited to tertiary-level referral facilities. This study aimed to review the clinical presentation, management, and outcomes of adult patients admitted with DKA and assess differences in these parameters before and during the COVID-19 pandemic., Methods: This was a retrospective study of DKA admissions from January 2017 to December 2021. Patient data were retrieved from the medical records department using ICD-10 codes, and individual details were abstracted on clinical presentation, management, and outcomes of DKA. Comparisons were made between pre-COVID-19 and during COVID-19 durations., Results: 150 patients admitted with DKA were included (n = 48 pre- COVID-19, n = 102 during COVID-19 (n = 23 COVID-19 positive, n = 79 COVID-19 negative)). Median age was 47 years (IQR 33.0, 59.0), median HbA1C was 12.4% [IQR 10.8, 14.6]), and most patients had severe DKA (46%). Most common DKA precipitants were infections (40.7%), newly diagnosed diabetes (33.3%) and missed medication (25.3%). There was a significant difference in pulmonary infections as a DKA precipitant, between the pre- COVID and during COVID-19 pandemic (21.6% during COVID-19 versus 6.3% pre- COVID-19; p = 0.012). Median total insulin dose used was 110.0 units [IQR 76.0, 173.0], and a 100% of patients received basal insulin. Median length of hospital stay was 4.0 days [IQR 3.0, 6.0] and time to DKA resolution was 30.0 h [IQR 24.0, 48.0]. There were 2 deaths (1.3%), none directly attributable to DKA. Severity of DKA significantly differed between pre- COVID-19, COVID-19 positive and COVID-19 negative DKA (52.2% of COVID-19 positive had moderate DKA compared to 26.6% of COVID-19 negative and 22.9% of Pre-COVID-19 (p = 0.006))., Conclusion: Even in developing regions, good outcomes can be achieved with the appropriate facilities for DKA management. Clinician and patient education is necessary to ensure early detection and prompt referral to avoid patients presenting with severe DKA. Exploratory studies are needed to assess reasons for prolonged time to DKA resolution found in this study., (© 2024. The Author(s).)

Objective: Patients with type 1 diabetes (T1DM) and type 2 diabetes (T2DM) can present with diabetic ketoacidosis (DKA) as the first manifestation. Differentiating types of newly diagnosed diabetes could provide appropriate long-term management. Therefore, we conducted this study to compare clinical characteristics and outcomes between initially diagnosed type 1 and type 2 diabetes mellitus patients presenting with DKA., Materials and Methods: A retrospective study was conducted on adult patients who presented with DKA as the first diagnosis of diabetes in our tertiary hospital between January 2005 and December 2019. Demographic data, precipitating causes, laboratory investigations, treatment, and outcomes were obtained by chart review. The primary outcome was to compare the clinical characteristics of initially diagnosed patients with T1DM and T2DM who presented with DKA., Results: A total of 100 initially diagnosed diabetic patients who presented with DKA were analyzed (85 T2DM patients and 15 T1DM patients). Patients with T1DM were younger than patients with T2DM (mean age 33 ± 16.2 vs. 51 ± 14.5 years, p value < 0.001). Patients with T2DM had a higher body mass index, family history of diabetes, precipitating factors, plasma glucose, and lower renal function than those with T1DM. There was no difference in resolution time or DKA management between T1DM and T2DM patients. The overall mortality rate of DKA was 4%., Conclusion: In this population, most adult patients who presented with DKA had T2DM. Older age, obesity, a family history of diabetes, and the presence of precipitating factors were strong predictors of T2DM. We can implement the same clinical management for DKA in both T1DM and T2DM patients. However, T2DM patients had longer hospitalization than T1DM patients. After DKA resolution for 12 months, more than half of patients with T2DM could discontinue insulin. Therefore, the accurate classification of the type of diabetes leads to appropriate treatment., (© 2024. The Author(s).)

Objective: To describe the patterns of diabetic ketoacidosis (DKA) occurrence in children newly diagnosed with type 1 diabetes (T1DM) across several Latin American pediatric diabetes centers from 2018 to 2022., Methods: A retrospective chart review included children under 18 with new-onset T1DM from 30 Latin American pediatric diabetes centers (Argentina, Chile, and Peru) between 30 December 2018 and 30 December 2022. Multiple logistic regression models examined the relationships between age, gender, medical insurance, BMI, and DKA at new-onset T1DM. As far as we know, there are no large studies in Latin American countries exploring the patterns of DKA in new-onset T1DM., Results: A total of 2,026 (983 females) children, median age 9.12 (5.8 -11.7) years with new-onset-T1DM were included. Approximately 50% had no medical insurance. Mean glucose values were 467 mg/dL, pH 7.21, bicarbonate 13 mEq/L, HbA1c 11.3%, and BMI 18. The frequency of DKA was 1,229 (60.7%), out of which only 447 (36%) were severe. There was a significant decrease in the frequency of DKA as age increased: 373 (70.2%) in children under 6, 639 (61.6%) in those between 6 and 12, 217 and (47.5%) in those over 12. Children with medical insurance (58.8%) had a significantly lower frequency of DKA than those without (62.7%). The multiple logistic regression models showed that DKA was significantly and inversely associated with age [OR, 0.72 (95% CI 0.60-0.86)], BMI [OR, 0.95 (95% CI 0.92-0.99)], and medical insurance [OR, 0.75 (95% CI 0.60-0.94)] adjusted for sex., Conclusion: Latin American children with new-onset T1DM exhibited a substantial occurrence of DKA. Younger ages and the lack of medical insurance were significantly associated with DKA in new-onset T1DM., Competing Interests: CONFLICT OF INTEREST The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest, (Copyright © 2024 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.)

Aim: This study aimed to develop and validate a nomogram to predict prolonged diabetes ketoacidosis (DKA) resolution time (DRT)., Methods: We retrospectively extracted sociodemographic, clinical, and laboratory data from the electronic medical records of 394 adult patients with DKA admitted to Tawam Hospital between January 2017 and October 2022. Logistic regression stepwise model was developed to predict DRT ≥ 24 h. Model discrimination was evaluated using C-index and calibration was determined using calibration plot and Brier score., Results: The patients' average age was 34 years; 54 % were female. Using the stepwise model, the final variables including sex, diabetes mellitus type, loss of consciousness at presentation, presence of infection at presentation, body mass index, heart rate, and venous blood gas pH at presentation were used to generate a nomogram to predict DRT ≥ 24 h. The C-index was 0.76 in the stepwise model, indicating good discrimination. Despite the calibration curve of the stepwise model showing a slight overestimation of risk at higher predicted risk levels, the Brier score for the model was 0.17, indicating both good calibration and predictive accuracy., Conclusion: An effective nomogram was established for estimating the likelihood of DRT ≥ 24 h, facilitating better resource allocation and personalized treatment strategy., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Competing Interests: Declaration of competing interest Dr. Vanneman receives $3,000 annually in patent royalties for novel cancer immunotherapy.

Background: Use of real-time continuous glucose monitoring (rtCGM) in ambulatory settings improves overall glycemic control and reduces the incidence of diabetic ketoacidosis (DKA) in adults and children/adolescents with type 1 diabetes (T1D). However, the use of rtCGM in children with DKA has not been well studied., Method: This prospective, single-arm, single-center study assessed the accuracy, reliability, and feasibility of a commercially available rtCGM device compared with point-of-care (POC) capillary and serum glucose values in pediatric patients admitted to the pediatric intensive care unit for DKA. The primary outcome was the accuracy of rtCGM glucose values compared with POC capillary and serum glucose values during standard treatment of DKA as assessed by Clarke Error Grid (CEG) analysis. Secondary outcomes were assessment of the relationship between rtCGM readings and degree of acidosis and mean length of hospital stay (LOS)., Results: Data from 35 hospitalized children (mean ± SD age, 11.9 ± 4.1 years) with DKA were included in our analysis. Five hundred twenty-four time-matched glucose values between serum glucose and rtCGM and 91 time-matched glucose values between POC capillary glucose and rtCGM were obtained. The effect of acidosis on accuracy CEG analysis showed 95.4% of the 524 matched CGM/POC pairs and 95.6% of the 91 matched CGM/serum glucose pairs in the clinically acceptable A + B zones. The average LOS was 1.32 ± 0.73 days. Serum bicarbonate level did not appear to affect the accuracy of rtCGM in the setting of DKA., Conclusions: Continuous glucose monitoring use in inpatient pediatric DKA treatment was found to be feasible and reliable., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: Patients with a delayed diagnosis of diabetes are more likely to present in diabetic ketoacidosis (DKA). The objective of this study was to assess the prevalence, risk factors, and consequences of missed pediatric diabetes diagnoses in emergency departments (EDs) potentially leading to DKA., Methods: Cases of children under 19 years old with a first-time diagnosis of diabetes mellitus presenting to EDs in DKA were drawn from the Healthcare Cost and Utilization Project database. A total of 11,716 cases were included. A delayed diagnosis of diabetes leading to DKA was defined by an ED discharge in the 14 days prior to the DKA diagnosis. The delayed diagnosis cases were analyzed using multivariate analysis to identify risk factors associated with delay, with the primary exposure being child opportunity index (COI) and secondary exposure being race/ethnicity. Rates of complications were compared across groups., Results: Delayed diagnosis of new onset diabetes leading to DKA occurred in 2.9 %. Delayed diagnosis was associated with COI, with 4.5 , 3.5, 1.9, and 1.5 % occurring by increasing COI quartile (p<0.001). Delays were also associated with younger age and non-Hispanic Black race. Patients with a delayed diagnosis were more likely to experience complications (4.4 vs. 2.2 %, p=0.01) including mechanical ventilation, as well as more frequent intensive care unit admissions and longer length of stays., Conclusions: Among children with new-onset DKA, 2.9 % had a delayed diagnosis. Delays were associated with complications. Children living in areas with lower child opportunity and non-Hispanic Black children were at higher risk of delays., (© 2024 Walter de Gruyter GmbH, Berlin/Boston.)

BACKGROUND Diabetes mellitus is a chronic disease that occurs when the pancreas does not produce enough insulin or when the body is unable to effectively use the insulin it produces. Uncontrolled diabetes mellitus is usually associated with neurological manifestations, such as hemichorea, focal epileptic seizures, peripheral neuropathy, and peripheral facial paralysis. This report describes a 59-year-old woman presenting with hyperglycemia and ketoacidosis due to newly diagnosed diabetes mellitus, as well as a temporary episode of central facial paralysis, which regressed within a few days after medical treatment and metabolic correction. CASE REPORT A 59-year-old patient with hypertension and a family history of diabetes mellitus presented with polyuro-polydipsic syndrome and signs of metabolic ketoacidosis, with an elevated anion gap, compatible with newly discovered type 1 diabetes mellitus. Six hours after admission, we noted the abrupt onset of left central facial paralysis, with no brain damage shown on magnetic resonance imaging. Initially, the diagnosis was transient ischemic attack. After a second, normal cerebral magnetic resonance image on the fourth day, and clinical improvement on the fifth day after metabolic correction by insulin therapy and rehydration, the diagnosis of a regressive central facial paralysis was retained. CONCLUSIONS Central facial paralysis in diabetic ketoacidosis is a rare neuroendocrine entity. The pathophysiological mechanisms that can explain the occurrence of central facial paralysis are not yet described and require further investigation. This report highlights the importance of diagnosis, early management of hyperglycemia and diabetic ketoacidosis, and reversibility of central facial paralysis after treatment.

Background: Children presenting to primary care with suspected type 1 diabetes should be referred immediately to secondary care to avoid life-threatening diabetic ketoacidosis. However, early recognition of children with type 1 diabetes is challenging. Children might not present with classic symptoms, or symptoms might be attributed to more common conditions. A quarter of children present with diabetic ketoacidosis, a proportion unchanged over 25 years. Our aim was to investigate whether a machine-learning algorithm could lead to earlier detection of type 1 diabetes in primary care., Methods: We developed the predictive algorithm using Welsh primary care electronic health records (EHRs) linked to the Brecon Dataset, a register of children newly diagnosed with type 1 diabetes. Children were included from their first primary care record within the study period of Jan 1, 2000, to Dec 31, 2016, until either type 1 diabetes diagnosis, they turned 15 years of age, or study end. We developed an ensemble learner (SuperLearner) using 26 potential predictors. Validation of the algorithm was done in English EHRs from the Clinical Practice Research Datalink (primary care) and Hospital Episode Statistics, focusing on the ability of the algorithm to identify children who went on to develop type 1 diabetes and the time by which diagnosis could be anticipated., Findings: The development dataset comprised 34 754 400 primary care contacts, relating to 952 402 children, and the validation dataset comprised 43 089 103 primary care contacts, relating to 1 493 328 children. Of these, 1829 (0·19%) children younger than 15 years in the development dataset, and 1516 (0·10%) in the validation dataset had a reliable date of type 1 diabetes diagnosis. If set to give an alert in 10% of contacts, an estimated 71·6% (95% CI 68·8-74·4) of the children with type 1 diabetes would receive an alert by the algorithm in the 90 days before diagnosis, with diagnosis anticipated, on average, by an estimated 9·34 days (95% CI 7·77-10·9)., Interpretation: If implemented into primary care settings, this predictive algorithm could substantially reduce the proportion of patients with new-onset type 1 diabetes presenting in diabetic ketoacidosis. Acceptability of alert thresholds should be explored in primary care., Funding: Diabetes UK., Competing Interests: Declaration of interests We declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Aims: We investigated the characteristics of infection and the utility of inflammatory markers in diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic syndrome (HHS)., Methods: A multicenter, retrospective observational study in 21 acute-care hospitals was conducted in Japan. This study included adult hospitalized patients with DKA and HHS. We analyzed the diagnostic accuracy of markers including C-reactive protein (CRP) and procalcitonin (PCT) for bacteremia. Multiple regression models were created for estimating bacteremia risk factors., Results: A total of 771 patients, including 545 patients with DKA and 226 patients with HHS, were analyzed. The mean age was 58.2 (SD, 19.3) years. Of these, 70 tested positive for blood culture. The mortality rates of those with and without bacteremia were 14 % and 3.3 % (P-value < 0.001). The area under the curve (AUC) of CRP and PCT for diagnosis of bacteremia was 0.85 (95 %CI, 0.81-0.89) and 0.76 (95 %CI, 0.60-0.92), respectively. Logistic regression models identified older age, altered level of consciousness, hypotension, and higher CRP as risk factors for bacteremia., Conclusions: The mortality rate was higher in patients with bacteremia than patients without it. CRP, rather than PCT, may be valid for diagnosing bacteremia in hyperglycemic emergencies., Trial Registration: This study is registered in the UMIN clinical trial registration system (UMIN000025393, Registered December 23, 2016)., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Diabetic ketoacidosis (DKA) is an acute metabolic, life-threatening complication of diabetes mellitus with a mortality rate that now stand at less than 1%. Although mortality is coupled with the etiology of DKA, literature on the influence of DKA etiology on patient outcome is scarce., Objectives: To study different triggers for DKA and their effect on outcomes., Methods: We conducted a retrospective study that include 385 DKA patients from 2004 to 2017. The study compared demographics, clinical presentation, and mortality rates by different precipitating factors., Results: Patients with DKA due to infections had a higher risk to develop in-hospital mortality after controlling for age and sex (odds ratio 4.40, 95% confidence interval 1.35-14.30), had a higher Charlson Comorbidity Index score, a higher risk of being mechanical ventilated (14% vs. 3%, P < 0.01), and a longer duration of hospitalization (5 days vs. 3 days, P < 0.001)., Conclusions: It is crucial to find the triggers that precipitate DKA and start the treatment as early as possible in addition to the metabolic aspect of the treatment especially when the trigger is an infectious disease.

Objectives: International Classification of Diseases (ICD) codes are commonly used to identify cases of diabetic ketoacidosis (DKA) in health services research, but they have not been validated. Our aim in this study was to assess the accuracy of ICD, 10th revision (ICD-10) diagnosis codes for DKA., Methods: We conducted a multicentre, cross-sectional study using data from 5 hospitals in Ontario, Canada. Each hospitalization event has a single most responsible diagnosis code. We identified all hospitalizations assigned diagnosis codes for DKA. A true case of DKA was defined using laboratory values (serum bicarbonate ≤18 mmol/L, arterial pH ≤7.3, anion gap ≥14 mEq/L, and presence of ketones in urine or blood). Chart review was conducted to validate DKA if laboratory values were missing or the diagnosis of DKA was unclear. Outcome measures included positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of ICD-10 codes in patients with laboratory-defined DKA., Results: We identified 316,517 hospitalizations. Among these, 312,948 did not have an ICD-10 diagnosis code for DKA and 3,569 had an ICD-10 diagnosis code for DKA. Using a combination of laboratory and chart review, we identified that the overall PPV was 67.0%, the NPV was 99.7%, specificity was 99.6%, and sensitivity was 74.9%. When we restricted our analysis to hospitalizations in which DKA was the most responsible discharge diagnosis (n=3,374 [94.5%]), the test characteristics were PPV 69.8%, NPV 99.7%, specificity 99.7%, and sensitivity 71.9%., Conclusion: ICD-10 codes can identify patients with DKA among those admitted to general internal medicine., (Copyright © 2024 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.)

Osmotic demyelination syndrome (ODS) occurs in patients with diabetes and hyponatremia. We herein report a case of ODS with chorea detected on serial magnetic resonance imaging (MRI), despite no prompt hyponatremia correction. A 74-year-old man with cirrhosis and uncontrolled type 2 diabetes developed an altered mental status and chorea during treatment for diabetic ketoacidosis (DKA). Despite no rapid sodium correction and normal initial brain MRI findings, serial MRI revealed ODS-related abnormalities. Clinicians should consider ODS in patients with DKA and a hyperosmolar hyperglycemic state displaying unconsciousness and neurological manifestations, including chorea, even without substantial changes in serum sodium levels. An MRI re-examination can help capture missing ODS complications.

Fulminant type 1 diabetes (FT1D) is a unique subtype of type 1 diabetes, characterized by acute absolute insulin deficiency, severe ketosis, and increased risk of hypoglycemia, glycemic variability and microvascular complications. Seven people with FT1D were identified from two tertiary centers in Singapore. Six were Chinese, the mean age was 35 years and all were lean (mean body mass index 20.3 kg/m 2 ). All presented with diabetes ketosis or ketoacidosis and low C-peptide. All but one had low glutamic acid decarboxylase antibodies. Nearly half had a missed/delayed diagnosis of FT1D. Three had frequent hypoglycemia, which improved after transition to continuous subcutaneous insulin infusion therapy. Individuals with FT1D experience unique diagnostic and management challenges associated with rapid absolute insulin deficiency. Greater awareness about this clinical entity is required., (© 2024 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.)

Diabetic ketoacidosis (DKA) is a life-threatening acute complication of diabetes characterized by the accumulation of ketone bodies in the blood. Breath acetone, a ketone, directly correlates with blood ketones. Therefore, monitoring breath acetone can significantly enhance the safety and efficacy of diabetes care. In this work, the design and fabrication of an InP/Pt/chitosan nanowire array-based chemiresistive acetone sensor is reported. By incorporation of chitosan as a surface-functional layer and a Pt Schottky contact for efficient charge transfer processes and photovoltaic effect, self-powered, highly selective acetone sensing is achieved. The sensor has exhibited an ultra-wide acetone detection range from sub-ppb to >100 000 ppm level at room temperature, covering those in the exhaled breath from healthy individuals (300-800 ppb) to people at high risk of DKA (>75 ppm). The nanowire sensor has also been successfully integrated into a handheld breath testing prototype, the Ketowhistle, which can successfully detect different ranges of acetone concentrations in simulated breath samples. The Ketowhistle demonstrates the immediate potential for non-invasive ketone monitoring for people living with diabetes, in particular for DKA prevention., (© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.)