BACKGROUND

Determination of serum bicarbonate (HCO3 - ) using arterial blood gas analysis in patients with diabetic ketoacidosis allows for the evaluation of the severity of the condition, determines whether HCO3 - therapy is required, and tracks the progression and resolution of the disease. Serum carbon dioxide combining power (CO2CP) from venous chemistry analysis has often been used as an indicator of metabolic acidosis. This study investigated the relationship between HCO3 - and CO2CP and developed an approximation formula for serum bicarbonate concentration using its predictor variables, as this may lessen the need to repeat arterial blood gas analysis or be used in settings in which blood gas analyzers are unavailable.

METHODOLOGY

This single-center, retrospective, cross-sectional study investigated a total of 77 patients diagnosed with diabetic ketoacidosis. Assessment of the bivariate correlations between serum HCO3 - and serum CO2CP as well as other potential predictor variables was done via Pearson’s correlation coefficient. Predictor variables that were significantly correlated with serum HCO3 - were identified and an approximation formula was developed by regression analysis. Evaluation of the correlation between the approximated HCO3 - value and the actual serum HCO3 - concentration was performed using correlation coefficient and residual statistics to assess agreement.

RESULTS

Serum CO2CP had significant correlation with serum HCO3 - (r = 0.768, p < 0.05). By multiple regression analysis, the following approximation formula was therefore expressed: HCO3 - = 12.682 + (0.612 x CO2CP) – [ketones] + (0.085 x BUN) - (0.026 x SGPT) – (1.23 x Creatinine) - (0.067 x Chloride). Examination of residuals revealed a mean of zero (0), indicating no significant difference between the actual and approximated levels of serum HCO3 -

CONCLUSION

The predictor variables included in the formula collectively contribute significantly to the approximation of serum HCO3 - . The approximated serum HCO3 - values also showed significant correlation with actual serum HCO3 - concentration; thus, the formula may be utilized to derive an approximation of serum bicarbonate concentration in patients with diabetic ketoacidosis.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Attention ; Bicarbonates ; Carbon Dioxide ; Diabetic Ketoacidosis ; Ketosis ; Patients ; Carbon ; Power (psychology) ; Power, Psychological ; Serum

OBJECTIVES

In Asia, younger individuals (below age 45) are diagnosed to have type 2 diabetes with increased rates of obesity defined by lower BMI yet with greater visceral adiposity (waist circumference and waisthip ratios). The prevalence data on type 1 diabetes is not well established, considered to be low, but is seen to be increasing as well. This changing phenotype therefore, presents a clinical dilemma in terms of correctly classifying diabetes and deciding on the consequent appropriate treatment. Distinguishing type 1 from type 2 diabetes has become more difficult with type 2 diabetes dramatically increasing in young adults and children. This study aims to define the characteristics of diabetes among young adults in the Philippines to provide a basis for appropriate management amidst changes in diabetes phenotypes seen globally.

METHODS

In this cross-sectional analytic study, we characterized the demographic, metabolic, and autoimmune features of diabetes among young adult Filipinos aged 18 to 45 years old consulting at a tertiary referral center in Manila, Philippines. Baseline serum A1c, FBS, 75-g oral glucose tolerance test, insulin, serum C-peptide, insulin autoantibodies, leptin, adiponectin, lipid profile, and thyroid function tests were obtained from the participants and analyzed. The homeostasis model assessment (HOMA) was used to estimate the insulin sensitivity.

RESULTS

A total of 348 patients with diabetes were included, with females comprising two-thirds of the participants. The mean age at diagnosis of diabetes was 35.9±7.22 years. The mean BMI was 28.12 kg/m2, with median waist to hip ratio (WHR) of 0·93. Metabolic syndrome was found in 60% of participants and 67.82% were obese by body mass index. The mean A1c was 9.07±2.52%. Good glucose control (A1c less than 7.0%) was seen in 23% of participants  while nearly half (48%) had HbA1c which was >9.0%. The median levels of fasting insulin and C-peptide were 12.62 (range 1.33–90.42) mIU/L and 0.78 ng/mL (range 0–16.2), respectively. 

Included participants were diagnosed with diabetes within a year and as such, majority did not have any micro- or macrovascular complications. The most common diabetes complication was sensory neuropathy detected by monofilament testing, which was found in 28% of participants, followed by non-proliferative diabetic retinopathy in 13%. A history of previous diabetic ketoacidosis was found in 10 patients (2.87%). Glutamic acid decarboxylase (GAD) and insulin auto-antibodies were found in 3.2% and 19.3% of participants, respectively. Approximately half (51.73%) of the participants were insulin resistant by HOMA-IR.

CONCLUSION

In contrast with Caucasians and other Asians, diabetes among young Filipino adults is associated with lower BMI but with a similarly high visceral adiposity as shown by an elevated WHR. Metabolic syndrome with insulin resistance as defined by a variety of indices is predominant. Type 1 diabetes with autoantibodies occur in only a small fraction of this population. Data derived from this work can provide a framework for cluster analysis towards personalized management specific to this population.

Human ; Acids ; Adiponectin ; Adiposity ; Adult ; Aged ; Antibodies ; Asia ; Asian ; Asian Continental Ancestry Group ; Autoantibodies ; Body Mass Index ; C-peptide ; Carboxy-lyases ; Child ; Cluster Analysis ; Demography ; Diabetes Complications ; Diabetes Mellitus ; Diabetes Mellitus, Type 1 ; Diabetes Mellitus, Type 2 ; Diabetic Ketoacidosis ; Diabetic Retinopathy ; Diagnosis ; Fasting ; Female ; Glucose ; Glucose Tolerance Test ; Glutamate Decarboxylase ; Glutamic Acid ; Insulin ; Insulin Resistance ; Ketosis ; Leptin ; Lipids ; Metabolic Syndrome ; Obesity ; Patients ; Peptides ; Phenotype ; Philippines ; Population ; Prevalence ; Serum ; Therapeutics ; Thyroid Gland ; Thyroid Function Tests ; Young Adult

Introduction: Diabetic ketoacidosis (DKA) is a life-threatening complication associated with significant morbidity and healthcare burden. Despite advances in diabetes care, recurrent DKA remains common, often reflecting gaps in treatment adherence and patient education. Identifying predictors of recurrence is crucial for risk stratification and targeted intervention. Methodology: We conducted a retrospective observational study of all adult DKA admissions to a tertiary centre between 2001 and 2025. Electronic medical records were reviewed for demographic data, biochemical parameters, precipitating factors, and clinical outcomes. DKA was defined using standard biochemical criteria. Recurrent DKA was defined as ≥2 admissions during the study period. Factors associated with recurrent DKA admissions were analyzed. Patients under the age of 18 years and those with missing vital information were excluded. Results: A total of 667 DKA admissions, comprising 566 patients, were identified, of which 101 admissions (15.1%) were recurrent, involving 65 patients. Among recurrent DKA episodes, the most common precipitating factors were infection (64.4%) and insulin omission (62.4%). After multivariate analyses, patients with type 1 diabetes mellitus (T1DM) were more likely to develop recurrent DKA compared to those with type 2 diabetes mellitus (aOR 4.16; 95% confidence interval [CI] 2.58–6.70; p <0.001). Insulin omission was strongly associated with recurrent DKA (aOR 2.29; 95% CI 1.46–3.60; p <0.001). In contrast, baseline glycated hemoglobin and chronic kidney disease were not significantly associated with recurrence. Diabetic counseling during the first DKA admission did not reduce recurrent DKA. There were no significant differences in mortality (3.9% vs 6.2%, p = 0.524) or critical care admission rates (40.6% vs 38.7%, p = 0.718) between recurrent and first DKA episodes. Conclusion Recurrent DKA accounts for a substantial proportion of DKA admissions and is strongly associated with insulin omission and T1DM. Our findings suggest that recurrent DKA is driven predominantly by behavioral and adherencerelated factors, indicating the need for multidisciplinary interventions beyond standard inpatient counseling.
Diabetic Ketoacidosis ; Retrospective Studies

Introduction: The rising incidence of diabetic ketoacidosis (DKA) in type 2 diabetes mellitus (T2DM) represents a paradigm shift from its traditional recognition as a hallmark complication of type 1 diabetes mellitus (T1DM). However, contemporary data comparing clinical presentation, precipitating factors, and outcomes between these two populations remain limited. Methodology: In this retrospective observational study, all adult DKA admissions with T1DM or T2DM at a tertiary centre between 2001 and 2025 were studied. DKA was defined according to standard biochemical criteria. Electronic medical records were reviewed to extract demographic data, biochemical parameters, precipitating factors, management details, and clinical outcomes of all adult DKA admission in T1DM and T2DM. Patients aged <18 years or those with incomplete data were excluded. Results: A total of 601 DKA episodes were analyzed, comprising 130 (21.6%) in patients with T1DM and 471 (78.4%) in those with T2DM. Mean age was 26.9 ± 0.71 years for T1DM and 52.1 ± 0.7 years for T2DM. Gender distribution was balanced (male 48.3%, female 51.7%). Mean hemoglobin A1c (HbA1c) was 11.3 ± 0.3% in T1DM and 12.1 ± 0.2% in T2DM. Infection was the most common precipitating factor overall (69.0%), occurring more frequently in T2DM than in T1DM (74.7% vs. 56.2%), followed by medication non-adherence (62.4% vs. 43.8%). Significant differences were observed between groups in admission pH, bicarbonate (both p <0.001), blood ketones (p = 0.028), and HbA1c (p = 0.010), whereas anion gap (p = 0.056) and blood glucose levels (p = 0.755) did not differ significantly. Clinical outcomes were comparable with respect to intensive care unit (ICU) admission rates (40.0% in T1DM vs. 39.0% in T2DM, p = 0.779) and median resolution time (p = 0.462). However, the median length of hospital stay was significantly longer in T2DM (8.2 ± 0.32 vs. 5.4 ± 0.4 days; p <0.001). Overall mortality was 6.0%, with substantially higher mortality in T2DM compared to T1DM (7.4% vs. 0.8%, p = 0.013). Conclusion In this large regional series of adult DKA, most episodes occurred in T2DM. Despite similar ICU admission rates and time to resolution, T2DM was associated with more frequent infection-related precipitants, longer hospital stays, and higher mortality, underscoring the need for targeted preventive strategies in this population.
Adult ; Diabetes Mellitus, Type 1 ; Diabetic Ketoacidosis ; Diabetes Mellitus, Type 2

Introduction: Euglycemic diabetic ketoacidosis (EDKA) is an uncommon but potentially life-threatening complication of diabetes, characterized by significant ketoacidosis in the absence of marked hyperglycemia. The increasing use of sodiumglucose co-transporter-2 inhibitors (SGLT2i) has contributed to its rising incidence; however, data describing its clinical spectrum remain limited. Methodology: We conducted a retrospective observational study of 19 patients admitted for EDKA between 2002 and 2025. EDKA was defined as metabolic acidosis with ketosis in the presence of blood glucose <11 mmol/L. Demographic characteristics, comorbidities, biochemical parameters, triggers, and clinical outcomes were analyzed. Continuous variables were reported as mean (SD) or median (interquartile range [IQR]), and categorical variables as frequencies and percentages. Results: The cohort displayed a mean age of 52 (SD 22.2) years, with a slight female predominance (52.6%). The majority had underlying type 2 diabetes mellitus (89.5%). Other comorbidities include hypertension (63.2%) and chronic kidney disease (31.6%). Despite severe metabolic derangement, the mean blood glucose at presentation was modest at 9.3 (SD 3.38) mmol/L. Median pH was 7.1 (IQR 0.35) and bicarbonate 9.1 mmol/L, with a markedly elevated median anion gap of 25.3 mmol/L. SGLT2i exposure was identified in 47.4% of patients, predominantly empagliflozin, with most initiated within 6 months. Nevertheless, infection was still the leading precipitant (68.4%), while 31.6% were adjudicated as having SGLT2i as the primary precipitating factor, probably due to underreporting during the diagnosis. Nearly half of the patients required intensive care (47.4%). The mean time to DKA resolution was 19 (SD 10.1) hours. Overall outcomes were favorable, with 89.5% of patients discharged and a mortality rate of 10.5%. Conclusion EDKA presents with severe metabolic acidosis despite deceptively normal glucose levels, increasing the risk of delayed recognition. Early assessment of ketones and acid– base status is essential in patients with diabetes presenting with unexplained metabolic acidosis, particularly among those receiving SGLT2 inhibitors, to facilitate timely diagnosis and management.
Diabetic Ketoacidosis

Introduction: Diabetic ketoacidosis (DKA) in pregnancy is an uncommon yet life-threatening emergency, with disproportionate risks to both mother and fetus. Pregnancy-specific physiological changes predispose patients to rapid metabolic decompensation, often with atypical presentations. Despite this, local data remain limited. We describe the clinical profile, precipitating factors, and outcomes of DKA in pregnancy in a tertiary centre, with emphasis on potentially preventable triggers. Cases: Nine pregnant patients with DKA were identified from a retrospective review of all cases admitted for DKA from 2002 to 2025. Mean age was 31.67 ± 5.20 years; all were Malay. The majority had type 2 diabetes mellitus (55.6%), followed by type 1 diabetes (33.3%) and latent autoimmune diabetes in adults (11.1%). The mean period of amenorrhea was 19.67 ± 12.62 weeks. Infection was the leading precipitant (44.4%), with additional triggers including insulin omission (22.2%), hyperemesis gravidarum, preterm labor, steroid exposure, and perioperative fasting. Most diagnoses were made in the emergency department (55.6%). Biochemical parameters reflected significant severity (mean bicarbonate 7.89 ± 2.98 mmol/L; anion gap 25.00 ± 5.81), with 88.9% classified as severe DKA. Intensive Care Unit (ICU) care was required in 77.8% of cases. The majority (77.8%) were admitted to the ICU unit, with a median time to resolution of 13.00 ± 12.00 hours (interquartile range [IQR]), and the median hospital length of stay was 7.00 ± 5.00 days (IQR). Complications during treatment included hypokalemia (33.3%), acute kidney injury (22.2%), and hypoglycemia (11.1%). Rebound DKA occurred in one-third of patients. All patients were discharged clinically stable. Outcome data demonstrated pregnancy loss in three cases and one preterm birth. Conclusion DKA in pregnancy remains a severe and resource-intensive condition. This series highlights missed opportunities in prevention, with modifiable precipitants such as infection and insulin omission commonly identified. The high severity at presentation suggests delays in recognition. Early detection, optimized metabolic care, and targeted preventive strategies are crucial to improving maternal and fetal outcomes.
Female ; Pregnancy ; Diabetic Ketoacidosis

OBJECTIVES

Diabetic ketoacidosis (DKA) is the most common initial presentation in children with newly diagnosed type 1 diabetes. Severe dehydration/acidosis, shock at admission, and hyperchloremia contribute to acute kidney injury (AKI). This retrospective study was done to determine the proportion of children hospitalized for DKA who had AKI and to compare clinical parameters between children with DKA and with AKI and without AKI to identify the risk factors associated with AKI.

METHODOLOGY

A retrospective review of all DKA admissions with type 1 diabetes was done. AKI was diagnosed as per KDIGO-2012 criteria. The analysis was done using a Chi-square test to assess the association between the status of AKI and other parameters. The Independent t-test was applied for comparison with the mean score between the No AKI / AKI group for numerical variables with normal distribution. A multivariable logistic regression analysis was performed to compare clinical parameters between both groups.

RESULTS

Out of 32 children with DKA, 13 (40.63%) developed AKI. Among them, 9 had AKI at admission and 4 children developed AKI within the first 48 hours of admission. Optimum fluid management resolved AKI in 10 patients, but 3 of them required dialysis. Parameters like higher heart rate (p = 0.0390), higher respiratory rate (p = 0.0402), high leukocyte count (p = 0.0005), severe hyperglycemia (p = 0.0204), severe acidosis (p = 0.0001), hyperchloremia (p = 0.016) and shock at admission (p = 0.0001) were present in children with DKA and AKI.

CONCLUSION

In our study, a high proportion of children with DKA had AKI, which causes prolonged acidosis and hospital stay. Hence, comparing clinical parameters between both groups helps in identifying risk factors associated with AKI in persons with type 1 diabetes with DKA.

Human ; Diabetic Ketoacidosis ; Acute Kidney Injury ; Ketone Bodies ; Hyperglycemia

BACKGROUND

The recent COVID-19 pandemic has led to a rise in the incidence of obesity both in children and adults. Studies on the effect of the pandemic on Type 2 diabetes mellitus (T2DM) trends in children are limited. In this study, we aim to evaluate the frequency, clinical characteristics and demographics of newly-diagnosed paediatric T2DM cases 4 years before and after the pandemic.

METHODOLOGY

The frequency and clinical data of patients aged ≤18 years with newly-diagnosed T2DM in 4 tertiary centers in urban Malaysia from 18 March 2016 till 17 March 2020 (pre-pandemic) and 18 March 2020 till 17 March 2024 (postpandemic) was collected.

RESULTS

Seventy-five (75) patients were recorded with newly-diagnosed T2DM pre-pandemic and fifty-four (54) patients were recorded with newly-diagnosed T2DM post-pandemic. There was no significant increase in T2DM cases and diabetic ketoacidosis (DKA) during pandemic and T2DM cases fell to below pre-pandemic levels in the 3rd and 4th year postpandemic. HbA1c and serum glucose were lower post-pandemic than pre-pandemic: 10.1% vs 11.9%, p = 0.008 and 12.0 mmol/L vs 16.1 mmol/L, p = 0.038 respectively.

CONCLUSION

The incidence of T2DM and DKA did not increase during the pandemic and further declined in year 3 and 4 post-pandemic. Lower HbA1c and serum glucose in the post-pandemic group may suggest improved screening services and greater access to medical care.

Human ; Covid-19 ; Diabetic Ketoacidosis ; Diabetes Mellitus, Type 2 ; Obesity

The occurrence of hyperuricemia is frequently associated with diabetic ketoacidosis (DKA), however, crystalluria from the precipitation of calcium oxalate, uric acid, or urate crystals, is less known. Metabolic derangements during DKA, especially acidic urinary pH and hyperuricosuria are the main risk factors for uric acid crystals and stones. Here we report a case of uric acid crystalluria following the recovery phase of DKA.
Crystalluria ; Uric Acid ; Diabetic Ketoacidosis

Objectives: This study aims to determine the effect of the COVID-19 pandemic on the incidence, severity, and outcome of children diagnosed with diabetic ketoacidosis admitted in a tertiary pediatric hospital. Materials and Methods: Two groups were identified as the basis for classification: pre-pandemic (2017 to 2019) and COVID-19 pandemic (2020 to 2022). The Mann‐Whitney U test was utilized to test for the differences in continuous variables, while Pearson’s chi‐squared test was used to test for differences in categorical variables. Results: The study involved 136 participants, 63 of whom were recorded in the pre-pandemic period and 73 during the COVID-19 pandemic period. Data revealed no conclusive relationship between sex (p=0.578), age (p=0.225), or height (p=0.876) across the two time frames. However, data showed significant difference between the weight (p=0.007) and BMI (p=0.003) of children with DKA pre-pandemic and during pandemic. This implies that marked changes in weight and BMI reflect possible changes in health behaviors, healthcare access, or other variables that may have altered during the COVID-19 pandemic. Furthermore, there was no discernible difference between pre-pandemic and COVID-19 in terms of severity, incidence, or the amount of time between the onset of symptoms and consultation. Conclusion The demographic and clinical characteristics of patients with DKA across the two study periods indicate a degree of stability in patient profiles. Despite the unique circumstances of the pandemic, patient outcomes in terms of glycemic control and mortality were like those observed pre-pandemic. The significant difference in weight and BMI emphasizes how crucial it is to monitor and respond to modifications in the nutritional status and metabolic health of DKA patients during times of crisis, like the COVID-19 pandemic. Comprehending these changes can provide focused treatments aimed at promoting the best possible health outcomes for susceptible patient groups.
Diabetic Ketoacidosis ; Diabetes Mellitus ; COVID-19