Safety of sodium-glucose cotransporter 2 inhibitors (SGLT2i) during the month of Ramadan in patients with type 2 diabetes mellitus in Pakistani population-an observational study from a tertiary care center in Karachi.

BACKGROUND AND AIMS: Primary aim was to assess the safety of SGLT2-i in patients with Type 2 Diabetes Mellitus (T2D) in a real-life scenario during Ramadan by finding the frequency and severity of hypoglycemic/hyperglycemic events, dehydration, and Diabetic ketoacidosis (DKA). Secondary aim was to assess changes in glycated hemoglobin (HbA1c), weight and creatinine levels. METHODS: This prospective, observational, controlled cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan from March 15 to June 30, 2021. Participants were over 21 years of age, on stable doses of SGLT2-I, which was started at least 2 months before Ramadan. Endpoint assessments were done 1 month before and within 6 weeks after Ramadan. RESULTS: Of 102 participants enrolled, 82 completed the study. Most (52%) were males, with mean age 52.2 ± 9.5 years and average duration of T2D 11.2 ± 6.5 years. 63% were on Empagliflozin (mean dose; 14.8 ± 7.2 mg/day) whereas 37% were on Dapagliflozin (mean dose; 8.2 ± 2.7 mg/day). Six (7.3%) documented symptoms of hypoglycemia. However, no episode of severe hypoglycemia, hyperglycemia, dehydration, DKA, hospitalization or discontinuation of SGLT2i was reported. HbA1c changes were (7.7 ± 1.2% from 7.9 ± 2.3%, p 0.34), weight (78.4 ± 12.9 kgs from 78.9 ± 13.3, p 0.23) and eGFR (87.8 ± 27.9 from 94.3 ± 37.6, p < 0.001). The reasons of study participants drop outs were: six did not keep any fasts; four discontinued study participation for personal reasons; three were out of city and missed post Ramadan follow-up, two protocol violation and five could not be contacted for post-Ramadan follow up during the third wave of COVID-19. CONCLUSION: Results showed the safety of SGLT2i agents during Ramadan in the Pakistani population recommending it as a treatment option in adults with T2D, without any additional adverse events.

Characterization of Newly Diagnosed Type 1 Diabetes in Children and Adolescents from 2017–2022 in China: A Single-center Analysis (preprint)

OBJECTIVE This study investigated the characteristics of newly diagnosed type 1 diabetes mellitus (T1DM) related to autoimmunity and the frequency of diabetic ketoacidosis (DKA) in children and adolescents from 2017–2022 in China.RESEARCH DESIGN AND METHODS Single-center regional data from the Department of Pediatric Endocrinology, Tongji Hospital, were used to compare 88 children and adolescents newly diagnosed with T1DM from 2020 to 2022 (i.e. during the COVID-19 pandemic in China) and 76 children and adolescents diagnosed with T1DM from 2017 to 2019. Auto-antibodies, including glutamic acid decarboxylase-65 and insulin auto-antibodies, were detected by enzyme-linked immunoassays. DKA was defined as a pH < 7.3 and/or a bicarbonate level < 15 mmol/L.RESULTS The median age of the 164 children and adolescents newly diagnosed with T1DM from 2017 to 2022 was 7.0 years (interquartile range [IQR]: 3.8–10.0 years; 51.83% male). The mean annual incidence of T1DM was 4.25/100,000. The estimated frequency of auto-antibody positivity was 51.22% (n = 84), and there was no difference between the 2020–2022 group and 2017–2019 group (55.68% [n = 49] vs. 46.5% [n = 35]; p = 0.219). The incidence of DKA among the entire cohort was 57.93% (n = 95). The frequency of DKA was not significantly higher in the 2020–2022 group compared with the 2017–2019 group (60.23% [n = 53] vs. 55.26% [n = 42]; p = 0.521). We found no significant difference in the frequency of DKA between patients who were negative vs. positive for auto-antibodies in the 2020–2022 group (64.10% [n = 25] vs. 57.14% [n = 28], p > 0.05). The C-peptide level and HbA1c (%) were positively correlated with onset age (R1 = 0.389, p < 0.01; R2 = 0.371, p < 0.01), and the estimated mean C-peptide level was 0.26 ng/ml (IQR: 0.2–0.4 ng/ml) in patients with DKA and 0.370 ng/ml (IQR: 0.2–0.6 ng/ml) in patients without DKA (p = 0.044).CONCLUSIONS This study showed the annual incidence of T1DM was 4.25/100,000, gradually increased over the study period, and there was no significant increase in T1DM with auto-antibody positivity in children and adolescents newly diagnosed from 2020–2022 in China compared with the previous 3 years. Furthermore, the frequencies of DKA were not significantly different between patients who were negative vs. positive for auto-antibodies.

Incidence and presentation of new-onset type 1 diabetes in children and adolescents from Germany during the COVID-19 pandemic 2020 and 2021: Current data from the DPV Registry.

AIMS: To determine whether the incidence of type 1 diabetes mellitus (T1D), autoantibody-negative diabetes, and diabetic ketoacidosis (DKA) at diabetes onset in 2020 and 2021 changed when compared to long-standing trends. METHODS: Our study is based on diabetes manifestation data of the 0.5-<18-year-old children/adolescents from the German multicenter Diabetes Prospective Follow-up Registry. Based on long-term pre-pandemic trends from 2011 to 2019, we estimated adjusted incidence rate ratios (IRR) for T1D and DKA, and prevalence rate ratios (PRR) regarding autoantibody status with 95 % confidence intervals (CI) for the years 2020 and 2021 (observed versus predicted rates), using multivariable negative binomial or beta-binomial regression, respectively. RESULTS: We analyzed data of 30,840 children and adolescents with new-onset T1D. The observed incidences were significantly higher than the predicted incidences (IRR2020 1.13 [1.08-1.19]; IRR2021 1.20 [1.15-1.26]). The prevalence of autoantibody-negative diabetes did not change (PRR2020 0.91 [0.75-1.10]; PRR2021 1.03 [0.86-1.24]). The incidence of DKA during the pandemic was higher than predicted (IRR2020 1.34 [1.23-1.46]; IRR2021 1.37 [1.26-1.49]). CONCLUSIONS: An increase in the incidences of T1D and DKA, but not of autoantibody-negative diabetes was observed during both pandemic years. Further monitoring and efforts for DKA prevention at onset are necessary.

Characteristics and burden of diabetic ketoacidosis in diabetic patients in the period of COVID-19 outbreak in Ethiopia (preprint)

Background: Diabetic ketoacidosis (DKA) is an acute life-threatening complication of diabetes mellitus. This study aimed to evaluate the clinical characteristics and the burden of DKA cases during the period of the COVID-19 outbreak in Ethiopia. Methods: An institutional-based retrospective chart review study was conducted. 178 randomly selected patients’ medical charts were included. Data were collected from medical records in the period between October 2020 to July 2022. To investigate the association between the dependent and independent variable, binary and multivariable logistic regression were done with statistically significant at P ≤0.05. Results: A total of 178 medical records were reviewed. The mean (±SD) age of the patients was 41.3 (±13.2) years and 45% of patients had type 2 diabetes. Acute diabetic complications were documented in 25.8% of patients where DKA was the commonest (16.3%). Nearly half of the DKA patients (n=13, 44.8%) were presented with poly-symptoms at the time of diagnosis. Furthermore, missing drug (31%) was the most frequent precipitating factor followed by community-acquired pneumonia (21%), and multiple factors (17%). Besides, patients in the DKA group had a higher mean length of hospital stay (3 days versus 2.6 days). Conclusion: The poly-symptoms were the common clinical features of DKA at the time of presentation. Pneumonia and a history of missing drugs were identified as leading precipitating factors of DKA. Even though the DKA complication is low in this research, diabetes health education at the community and institutional level, routine screening for diabetes at health centers, and treating the infections early are strongly recommended.

Incidence of new-onset type 1 diabetes during Covid-19 pandemic: A French nationwide population-based study.

AIM: The association between infection with SARS-CoV-2 and the development of new-onset type 1 diabetes mellitus (T1DM) is unclear. The aim of this study was to examine the impact of the Covid-19 pandemic on the hospitalization rates for new-onset T1DM and diabetic ketoacidosis at diagnosis, in metropolitan France. METHODS: This nationwide retrospective cohort study included hospital data on all patients aged 1 to 35 years old, hospitalized in France due to onset of T1DM, in 2020 and 2021 compared to 2019. RESULTS: Apart from a decrease during the lockdown in 2020, the number of hospitalizations due to new-onset T1DM was not significantly different in 2020 and 2021 than it was in 2019. In the regions most affected by Covid-19 and covering 7,995,449 inhabitants aged from 1 to 35 years old, standardized hospitalization rates were not significantly different in 2020 and in 2021 compared with 2019. The number of hospitalizations for diabetic ketoacidosis at diagnosis was not significantly different after week 14 in 2020 and in 2021 compared with 2019. CONCLUSION: In this nationwide study, the incidence of hospitalizations for new-onset T1DM and the incidence of diabetic ketoacidosis at diagnosis was not increased during the Covid-19 pandemic in 2020 and 2021. Our results support the fact that infection with SARS-CoV-2 does not promote the development of T1DM.

Incidence, Severity, and Presentation of Type 2 Diabetes in Youth During the First and Second Year of the COVID-19 Pandemic.

OBJECTIVE: To describe the evolving impact of the coronavirus disease 2019 pandemic on the incidence and presentation of new-onset pediatric type 2 diabetes. RESEARCH DESIGN AND METHODS: Retrospective medical record review of youth with new-onset type 2 diabetes comparing the prepandemic period (1 January 2017-29 February 2020) with the first (1 March 2020-31 December 2020) and second pandemic year (1 January 2021-31 December 2021). RESULTS: The annualized incidence of type 2 diabetes increased nearly threefold during the pandemic versus prior, with a 61% increase in the 2nd versus 1st year. BMI increased during the pandemic versus prior (129% of 95th percentile vs. 141%, P = 0.02). In the 1st year, patients were younger (12.9 years vs. 14.8, P < 0.001), with higher incidence of diabetic ketoacidosis and/or hyperglycemic hyperosmolar syndrome (20% vs. 3.5%, P = 0.02) versus prior. CONCLUSIONS: Providers should be aware of the escalating incidence of youth-onset type 2 diabetes to avoid delays in diagnosis and inform educational programs to combat the continued impact of the pandemic on health outcomes.

Ethnic differences in the indirect impacts of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: An observational cohort study using OpenSAFELY (preprint)

Background: 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. Methods We conducted a cohort study using OpenSAFELY (2018-2022). We grouped ethnicity (exposure), into five categories: White, South Asian, Black, Other, Mixed. We used interrupted time-series regression to estimate ethnic differences in clinical monitoring frequency (e.g., blood pressure measurements) before and after 23rd March 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 23rd March 2020. Findings Of 14,930,356 adults in 2020 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 White. There was increased admissions for heart failure during the pandemic for all ethnic groups, though highest in White ethnicity. Relatively, ethnic differences narrowed for heart failure admission in those of Asian and Black ethnicity compared to White. For other outcomes the pandemic had minimal impact on ethnic differences. Interpretation Our study suggests 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. Funding LSHTM COVID-19 Response Grant (DONAT15912).

Type 1 diabetes mellitus and SARS-CoV-2 in pediatric and adult patients - Data from the DPV network.

BACKGROUND: Data on patients with type 1 diabetes mellitus (T1DM) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are sparse. This study aimed to investigate the association between SARS-CoV-2 infection and T1DM. METHODS: Data from the Prospective Diabetes Follow-up (DPV) Registry were analyzed for diabetes patients tested for SARS-CoV-2 by polymerase chain reaction (PCR) in Germany, Austria, Switzerland, and Luxembourg during January 2020-June 2021, using Wilcoxon rank-sum and chi-square tests for continuous and dichotomous variables, adjusted for multiple testing. RESULTS: Data analysis of 1855 pediatric T1DM patients revealed no differences between asymptomatic/symptomatic infected and SARS-CoV-2 negative/positive patients regarding age, new-onset diabetes, diabetes duration, and body mass index. Glycated hemoglobin A1c (HbA1c) and diabetic ketoacidosis (DKA) rate were not elevated in SARS-CoV-2-positive vs. -negative patients. The COVID-19 manifestation index was 37.5% in individuals with known T1DM, but 57.1% in individuals with new-onset diabetes. 68.8% of positively tested patients were managed as outpatients/telemedically. Data analysis of 240 adult T1MD patients revealed no differences between positively and negatively tested patients except lower HbA1c. Of these patients, 83.3% had symptomatic infections; 35.7% of positively tested patients were hospitalized. CONCLUSIONS: Our results indicate low morbidity in SARS-CoV-2-infected pediatric T1DM patients. Most patients with known T1DM and SARS-CoV-2 infections could be managed as outpatients. However, SARS-CoV-2 infection was usually symptomatic if it coincided with new-onset diabetes. In adult patients, symptomatic SARS-CoV-2 infection and hospitalization were associated with age.

Parinaud’s syndrome caused by a cerebral infarction in a Covid positive child secondary to diabetic ketoacidosis (preprint)

Cerebral infarction is a very rare complication of diabetic ketoacidosis (DKA) which is a metabolic disorder caused by insulin deficiency. A previously healthy 6-year-old boy with a newly diagnosed Type 1 diabetes mellitus presented with a severe DKA. The patient, who tested positive for SARS-CoC-2 nasopharyngeal PCR, developed about 72 hours after admission a Parinaud’s syndrome (PS), also known as dorsal midbrain syndrome, which is described as an up-gaze saccadic paresis, a convergence-retraction nystagmus, a light-near dissociation of the pupils and occasionally a lid retraction. The brain magnetic resonance imaging revealed an ischemic infarction in the left thalamus and the thalamo-mesencephalic junction with a slight extension in the midbrain tegmentum. His symptoms improved gradually and at 3-weeks follow-up he had a full neuro-ophthalmological recovery. By describing a Parinaud syndrome as a neuro-ophthalmologic complication in diabetic ketoacidosis (DKA) crisis, which, to our best knowledge, has not been described yet, our case expands the knowledge of the neurological manifestations occurring in children during diabetic ketoacidosis and reiterates the importance to keep those patients under strict neurological monitoring for at least 72 hours, especially in severe DKA and to request early brain imaging for any child with neurological deterioration.

Impact of the COVID-19 pandemic on long-term trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes: an international multicentre study based on data from 13 national diabetes registries.

BACKGROUND: An increased prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes in children was observed in various diabetes centres worldwide during the COVID-19 pandemic. We aimed to evaluate trends in the prevalence of diabetic ketoacidosis at diagnosis of paediatric type 1 diabetes before and during the COVID-19 pandemic, and to identify potential predictors of changes in diabetic ketoacidosis prevalence during the pandemic. METHODS: For this international multicentre study, we used data from 13 national diabetes registries (Australia, Austria, Czechia, Denmark, Germany, Italy, Luxembourg, New Zealand, Norway, Slovenia, Sweden, USA [Colorado], and Wales). The study population comprised 104 290 children and adolescents aged 6 months to younger than 18 years, who were diagnosed with type 1 diabetes between Jan 1, 2006, and Dec 31, 2021. The observed diabetic ketoacidosis prevalence in 2020 and 2021 was compared to predictions based on trends over the pre-pandemic years 2006-19. Associations between changes in diabetic ketoacidosis prevalence and the severity of the COVID-19 pandemic and containment measures were examined with excess all-cause mortality in the whole population and the Stringency Index from the Oxford COVID-19 Government Response Tracker. FINDINGS: 87 228 children and adolescents were diagnosed with type 1 diabetes between 2006 and 2019, 8209 were diagnosed in 2020, and 8853 were diagnosed in 2021. From 2006 to 2019, diabetic ketoacidosis at diagnosis of type 1 diabetes was present in 23 775 (27·3%) of 87 228 individuals and the mean annual increase in the prevalence of diabetic ketoacidosis in the total cohort from 2006 to 2019 was 1·6% (95% CI 1·3 to 1·9). The adjusted observed prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes was 39·4% (95% CI 34·0 to 45·6) in 2020 and 38·9% (33·6 to 45·0) in 2021, significantly higher than the predicted prevalence of 32·5% (27·8 to 37·9) for 2020 and 33·0% (28·3 to 38·5) for 2021 (p<0·0001 for both years). The prevalence of diabetic ketoacidosis was associated with the pandemic containment measures, with an estimated risk ratio of 1·037 (95% CI 1·024 to 1·051; p<0·0001) per ten-unit increase in the Stringency Index for 2020 and 1·028 (1·009 to 1·047; p=0·0033) for 2021, but was not significantly associated with excess all-cause mortality. INTERPRETATION: During the COVID-19 pandemic, there was a marked exacerbation of the pre-existing increase in diabetic ketoacidosis prevalence at diagnosis of type 1 diabetes in children. This finding highlights the need for early and timely diagnosis of type 1 diabetes in children and adolescents. FUNDING: German Federal Ministry for Education and Research, German Robert Koch Institute, German Diabetes Association, German Diabetes Foundation, Slovenian Research Agency, Welsh Government, Central Denmark Region, and Swedish Association of Local Authorities and Regions.

Diabetic ketoacidosis and coronavirus disease 2019-associated mucormycosis: a case report.

BACKGROUND: Mucormycosis is a rare, life-threatening fungal infection that affects immunocompromised hosts. Diabetes mellitus is a common predisposing condition and most often presents with rhino-orbital-cerebral infection. Association with coronavirus disease 2019 infection was revealed following a resurgence in cases of mucormycosis during the second wave of the pandemic wherein poorly controlled diabetes mellitus was the most significant risk factor in the affected population. Rhino-orbital-cerebral mucormycosis has a high mortality rate, and cerebral involvement is a poor prognostic factor. Herein, we report a case of newly diagnosed diabetes mellitus with concurrent coronavirus disease 2019 infection complicated by diabetic ketoacidosis and rhinocerebral mucormycosis at presentation, describe the diagnostic and therapeutic challenges, and discuss the interventions that ultimately resulted in a favorable clinical response. CASE PRESENTATION: We describe the case of a previously healthy 13-year-old African American female patient with newly diagnosed diabetes mellitus and concurrent severe acute respiratory syndrome coronavirus 2 infection whose disease course was complicated by rhinocerebral mucormycosis. She presented with fever, altered mental status, and Kussmaul respirations and was diagnosed with diabetic ketoacidosis with concern for cerebral edema. Concern for infectious cerebritis arose due to recurring fevers and persistently altered mental status despite correction of her metabolic derangements. This raised concern for infectious cerebritis and prompted evaluation with serial head imaging, lumbar puncture, and initiation of broad empiric antimicrobial regimen. Head imaging revealed an evolving cerebral abscess, and fungal deoxyribonucleic acid was identified on blood metagenomics testing, which ultimately confirmed the diagnosis of rhinocerebral mucormycosis. Treatment was challenging as she required surgical debridement of the frontal lobe and aggressive antifungal therapy complicated by electrolyte derangements and electrocardiogram changes that necessitated modification of the antimicrobial regimen. Despite these challenges and high mortality rate, the patient was discharged from the hospital in stable condition to inpatient rehabilitation service for reconditioning after prolonged hospitalization. CONCLUSION: Rhinocerebral mucormycosis mortality is associated with delays in therapeutic interventions, thus a high index of suspicion and early recognition were essential for timely initiation of antifungal therapy and surgical debridement.

Incidence, characteristics, risk factors, and outcomes of diabetic ketoacidosis in COVID-19 patients without prior insulin dependence: comparison with influenza (preprint)

Whether SARS-CoV-2 infection triggers diabetic ketoacidosis (DKA) is unclear. This study characterized incidence, patient profiles, risk factors, and outcomes of in-hospital DKA in COVID-19 patients without prior insulin dependence and compared with influenza. This cohort consisted of 13,383 hospitalized COVID-19 patients (March 2020 to July 2022) and 19,165 hospitalized influenza patients (January 2018 to July 2022) in Bronx, NY. Patients with prior DKA and prior insulin use were excluded. Primary outcomes were in-hospital mortality and new-insulin use 3-month post-infection. The incidence of DKA in hospitalized COVID-19 patients was significantly higher than hospitalized influenza patients (1.4% vs. 0.8%, p < 0.05). COVID-19 patients with DKA were more likely to be intubated, receive steroid treatment, and die (mortality OR = 6.178, p < 0.05) than those without DKA. DKA patients without pre-existing diabetes were more likely to die than DKA patients with pre-existing diabetes (OR = 7.56, p < 0.05). Steroid use, pre-existing type-2 diabetes, and male sex were risk factors for DKA. Patients with DKA had a higher rate of insulin use 3 months post SARS-CoV-2 infection compared to those without DKA (8.2% vs. 1.6%, p < 0.05), suggesting SARS-CoV-2 infection could trigger new insulin dependence. Identification of risk factors for DKA and new insulin-dependency could enable careful monitoring and timely intervention.

Impact of SARS-CoV-2 infection on disease trajectory in youth with T1D: An EHR-based cohort study from the RECOVER program (preprint)

Background: Post-acute sequelae of SARS-Co-V-2 infection (PASC) is associated with worsening diabetes trajectory. It is unknown whether PASC in children with type 1 diabetes (T1D) manifests as worsening diabetes trajectory. Objective: To explore the association between SARS-CoV-2 infection (COVID-19) and T1D-related healthcare utilization (for diabetic ketoacidosis [DKA] or severe hypoglycemia [SH]) or Hemoglobin (Hb) A1c trajectory. Methods: We included children <21 years with T1D and [≥]1 HbA1c prior to cohort entry, which was defined as COVID-19 (positive diagnostic test or diagnosis code for COVID-19, multisystem inflammatory syndrome in children, or PASC) or a randomly selected negative test for those who were negative throughout the study period (Broad Cohort). A subset with [≥]1 HbA1c value from 28-275 days after cohort entry (Narrow Cohort) was included in the trajectory analysis. Propensity score-based matched cohort design followed by weighted Cox regression was used to evaluate the association of COVID-19 with healthcare utilization >28 days after cohort entry. Generalized estimating equation models were used to measure change in HbA1c in the Narrow cohort. Results: From 03/01/2020-06/22/2022, 2,404 and 1,221 youth met entry criteria for the Broad and Narrow cohorts, respectively. The hazard ratio for utilization was (HR 1.45 [95%CI,0.97,2.16]). In the Narrow Cohort, the rate of change (slope) of HbA1c increased 91-180 days after cohort entry for those with COVID-19 (0.138 vs. -0.002, p=0.172). Beyond 180 days, greater declines in HbA1c were observed in the positive cohort (-0.104 vs. 0.008 per month, p=0.024). Conclusion: While a trend towards worse outcomes following COVID-19 in T1D patients was observed, these findings were not statistically significant. Continued clinical monitoring of youth with T1D following COVID-19 is warranted.

Cohort profile: the Scottish Diabetes Research Network national diabetes cohort - a population-based cohort of people with diabetes in Scotland.

PURPOSE: The Scottish Diabetes Research Network (SDRN)-diabetes research platform was established to combine disparate electronic health record data into research-ready linked datasets for diabetes research in Scotland. The resultant cohort, 'The SDRN-National Diabetes Dataset (SDRN-NDS)', has many uses, for example, understanding healthcare burden and socioeconomic trends in disease incidence and prevalence, observational pharmacoepidemiology studies and building prediction tools to support clinical decision making. PARTICIPANTS: We estimate that >99% of those diagnosed with diabetes nationwide are captured into the research platform. Between 2006 and mid-2020, the cohort comprised 472 648 people alive with diabetes at any point in whom there were 4 million person-years of follow-up. Of the cohort, 88.1% had type 2 diabetes, 8.8% type 1 diabetes and 3.1% had other types (eg, secondary diabetes). Data are captured from all key clinical encounters for diabetes-related care, including diabetes clinic, primary care and podiatry and comprise clinical history and measurements with linkage to blood results, microbiology, prescribed and dispensed drug and devices, retinopathy screening, outpatient, day case and inpatient episodes, birth outcomes, cancer registry, renal registry and causes of death. FINDINGS TO DATE: There have been >50 publications using the SDRN-NDS. Examples of recent key findings include analysis of the incidence and relative risks for COVID-19 infection, drug safety of insulin glargine and SGLT2 inhibitors, life expectancy estimates, evaluation of the impact of flash monitors on glycaemic control and diabetic ketoacidosis and time trend analysis showing that diabetic ketoacidosis (DKA) remains a major cause of death under age 50 years. The findings have been used to guide national diabetes strategy and influence national and international guidelines. FUTURE PLANS: The comprehensive SDRN-NDS will continue to be used in future studies of diabetes epidemiology in the Scottish population. It will continue to be updated at least annually, with new data sources linked as they become available.