Incidence and long-term outcomes of adult patients with diabetic ketoacidosis admitted to intensive care: A retrospective cohort study

Diabetic Ketoacidosis in Pediatric Emergency Medicine: Risk Factors, Myths, and Evidence-Based Management of Complications

Purpose

Diabetic ketoacidosis (DKA) is a common condition among type 1 diabetics, commonly affecting those below the age of 20.

Methods

A comprehensive literature search was conducted in databases like PubMed to identify primary studies conducted in children with DKA. Finally, 79 studies were included for qualitative synthesis.

Results

The disease is characterized by acute-onset metabolic and pathological derangements, necessitating immediate intervention. With the rising incidence, concerns have been emerging regarding the disparities in the presentation and treatment of DKA among different countries with inequitable resources. Within its management lies the common misconceptions, both among patients and primary physicians, prohibiting an optimistic approach to the disease. Pediatric children in particular need specialized treatment and care during an episode of DKA due to its long-term cognitive and neurological sequelae. Hence, efforts have been undertaken to ensure minimization of neurological damage when treating DKA. While guidelines are in place for treatment of DKA, there are considerable differences in their protocols across different regions.

Conclusion

It is imperative to analyze recent evidence and continually update treatment guidelines for DKA. Additionally, maximal efforts need to be taken to bridge the gap between different nations, allowing accessibility to equitable resources to all.

Clinical features and outcomes of patients diagnosed with diabetic ketoacidosis (DKA) who were hospitalized for conditions outside of internal medicine

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.

Understanding the factors influencing nurses in managing patients with diabetic ketoacidosis in the emergency departments of referral hospitals in Dar es Salaam, Tanzania: A descriptive qualitative study

BACKGROUND

The quality of nursing management of diabetic ketoacidosis (DKA) in emergency departments may be associated with either increased or decreased length of hospital stay. Despite that patient with DKA need intensive care unit (ICU) admission, effective initial nursing management of DKA patients at the emergency department is important. Regarding factors influencing the effective management when caring for patients with DKA, it is unknown how Tanzanian nurses perceive these issues. Therefore, this study was aimed to explore nurses' perceived factors influencing nursing management of DKA patients at emergency medical department (EMD) of two selected referral hospitals in Dar es Salaam, Tanzania.

METHODOLOGY

A descriptive qualitative study design was conducted to explore nurses' perspectives on the factors influencing nursing management of DKA patients. A total of twelve purposively selected nurses participated in in-depth interviews. The interview guide written in Kiswahili was used to collect data. All interviews were audio recorded and transcribed verbatim, and transcripts analyzed using qualitative content analysis.

FINDINGS

Two main themes emerged from the study including facilitators of DKA nursing management and barriers to DKA nursing management. Facilitators of DKA management encompassed three categories including nurses' knowledge of DKA, the availability of DKA management protocol, and nurses' skillset to enhance DKA management. On the other hand, barriers to DKA management had eight sub-categories including limited training on DKA management, lack of autonomy, decisions disagreement, delayed electrolyte results, scarcity of medical resources, shortage of nursing staffs, logistics in emergency care, and lack of specific-nursing management guideline.

CONCLUSION

This study highlights facilitators and barriers to DKA management and underscores the need for comprehensive strategies to overcome these barriers and consolidate the facilitators to improve nurses' capacity in managing patients with DKA.

The Effects of Subcutaneous Rapid-Acting Insulin Aspart in the Treatment of Mild and Moderate Diabetic Ketoacidosis in Children: A Prospective Study

Background and objectives The traditional treatment approach to diabetic ketoacidosis (DKA) involves the replacement of fluid and electrolyte deficits and a continuous intravenous infusion of regular insulin. Several clinical trials supported the administration of subcutaneous rapid-acting insulin analogs in the management of uncomplicated DKA. This study aimed to determine the effects/safety of subcutaneous rapid-acting insulin aspart injections in treating uncomplicated mild and moderate DKA in children. Methods In this prospective study in 2022, 25 children with mild/or moderate DKA were enrolled. The main outcome measure was median time (hours) for the resolution of ketoacidosis. Data recorded were as follows: clinical characteristics, severity of ketoacidosis and dehydration, blood glucose, sodium, potassium, creatinine, urine ketones, hospitalization's duration, and complications. Based on the degree of dehydration, fluid deficit was replaced by sodium chloride 0.45%. Insulin aspart 0.15 units/kg subcutaneous injections were given every 2 hours in the hospital outside ICU. Blood glucose was measured hourly and blood gases every 2 hours. Ketoacidosis was considered resolved when the patient did not have nausea/vomiting, was conscious, and could eat, and blood glucose was <250 mg/dL, pH was >7.30, and/or HCO3 was >15 mmol/L. Results Of 25 DKA patients (mean age 11.06±3.89, range 4-17 years, 60% girls), 16 cases (64%) had established type 1 diabetes. Overall, 13 (52%) cases had mild ketoacidosis (average pH=7.25), and 12 (48%) cases had moderate ketoacidosis (average pH=7.15). The mean time to resolution of ketoacidosis was 11.24 hours. All but one patient met DKA recovery criteria without complications. Mild cases compared to moderate cases of DKA had a shorter duration to resolution of DKA (p = 0.04). Mean duration of hospitalization was 2.3 days. No electrolyte disturbances, hypoglycemia events, readmission or mortality, or other adverse effects were observed. Conclusion In children with mild and moderate DKA, subcutaneous rapid-acting insulin aspart administration was an effective, safe, and convenient treatment.

Predictors of frequency of 1-year readmission in adult patients with diabetes

Diabetes mellitus (DM) is the third most common chronic condition associated with frequent hospital readmissions. Predictors of the number of readmissions within 1 year among patients with DM are less often studied compared with those of 30-day readmission. This study aims to identify predictors of number of readmissions within 1 year amongst adult patients with DM and compare different count regression models with respect to model fit. Data from 2008 to 2015 were extracted from the electronic medical records of the National University Hospital, Singapore. Inpatients aged ≥ 18 years at the time of index admission with a hospital stay > 24 h and survived until discharge were included. The zero-inflated negative binomial (ZINB) model was fitted and compared with three other count models (Poisson, zero-inflated Poisson and negative binomial) in terms of predicted probabilities, misclassification proportions and model fit. Adjusted for other variables in the model, the expected number of readmissions was 1.42 (95% confidence interval [CI] 1.07 to 1.90) for peripheral vascular disease, 1.60 (95% CI 1.34 to 1.92) for renal disease and 2.37 (95% CI 1.67 to 3.35) for Singapore residency. Number of emergency visits, number of drugs and age were other significant predictors, with length of stay fitted as a zero-inflated component. Model comparisons suggested that ZINB provides better prediction than the other three count models. The ZINB model identified five patient characteristics and two comorbidities associated with number of readmissions. It outperformed other count regression models but should be validated before clinical adoption.

Awareness and knowledge of diabetic ketoacidosis in people with type 1 diabetes: a cross-sectional, multicenter survey

INTRODUCTION

To evaluate awareness and knowledge of diabetic ketoacidosis (DKA), a common and potentially life-threatening complication in people living with type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

A survey was developed to assess individuals' current knowledge, management, and unmet needs regarding DKA. The study was conducted in six Swiss and three German endocrine outpatient clinics specialized in the treatment of diabetes.

RESULTS

A total of 333 participants completed the questionnaire (45.7% female, mean age of 47 years, average duration of T1D at 22 years). Surprisingly, 32% of individuals were not familiar with the term 'diabetic ketoacidosis'. Participants rated their own knowledge of DKA significantly lower than their physicians (p<0.0001). 46% of participants were unable to name a symptom of DKA, and 45% were unaware of its potential causes. 64% of participants did not test for ketones at all. A significant majority (67%) of individuals expressed the need for more information about DKA.

CONCLUSIONS

In patients treated in specialized centers, knowledge of DKA was found to be inadequate, with a lack of understanding regarding symptoms and causes. Healthcare professionals tended to overestimate individuals' knowledge. Future efforts should focus on addressing these knowledge gaps and incorporating protective factors into the treatment of T1D.

Clinical Outcomes of Diabetic Ketoacidosis in Type 2 Diabetes Patients with and without SGLT2 Inhibitor Treatment: A Retrospective Study

AIM

This study aimed to compare the clinical course and outcomes of DKA in T2DM patients who received treatment with SGLT2 inhibitors versus those who did not.

METHODS

A retrospective analysis was conducted on T2DM patients who were admitted to the Rambam Health Care Campus with DKA between 7/2015 and 9/2020. Demographic, clinical, and laboratory data were obtained from electronic medical records. Outpatient mortality was monitored until 12/2022.

RESULTS

Of 71 T2DM patients admitted with DKA, 16 (22.5%) were on SGLT2 inhibitor treatment upon admission. SGLT2 inhibitor users had a higher BMI and were less likely to be treated with insulin. During hospitalization, the rates of acute kidney injury, concomitant infections, and inpatient mortality among SGLT2 inhibitor users were comparable to non-users. The median follow-up period was 35.1 months for the SGLT2 inhibitor users and 36.7 months for non-users. The long-term mortality from any cause was lower among the SGLT2 inhibitor users (12.5% vs. 52.7%, p = 0.004). In Cox regression analysis, SGLT2 inhibitor use was associated with a lower risk of long-term mortality from any cause (HR = 0.19, p = 0.04).

CONCLUSION

T2DM patients with DKA who received SGLT2 inhibitors had lower long-term mortality from any cause compared to those who did not receive SGLT2 inhibitors.

Family coaggregation of type 1 diabetes mellitus, major depressive disorder, attention-deficiency hyperactivity disorder and autism spectrum disorder in affected families: a nationwide study

AIMS

This study aimed to examine the risk of T1D, major depressive disorder (MDD), attention-deficiency hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), in first-degree relatives (FDRs) of patients with T1D.

METHODS

We enrolled 24,555 FDRs of individuals with T1D and 1:4 matched controls (N = 98,220) based on age and sex using data from the Taiwan National Health Insurance Research Database between 2001 and 2011. Poisson regression analyses were performed to estimate the risks of MDD, attention-deficiency hyperactivity disorder (ADHD), and autism spectrum disorder among the FDRs. Finally, we assessed the impact of DKA in the familial coaggregation.

RESULTS

After adjusting for demographic characteristics, FDRs of individuals with T1D had higher risk of T1D (reported as relative risk with 95% confidence interval: 46.07, 33.36-63.63) and MDD (1.17, 1.04-1.32) than controls. Stratified by sex, female FDRs had increased risk of MDD (1.30, 1.13-1.51), while male FDRs had increased risk of ADHD (1.21, 1.01-1.44). Stratified by kinship, parents of individuals with T1D had increased risk of MDD (1.24, 1.06-1.44); offspring of individuals with T1D had increased risk of ADHD (1.41, 1.11-1.79). Importantly, FDRs of individuals with T1D and DKA had higher risk of MDD (1.35, 1.11-1.64) and ADHD (1.40, 1.07-1.82) than controls; however, such risks were not observed in FDRs of individuals with T1D but without DKA.

CONCLUSIONS

The individual risks of T1D, MDD, and ADHD were increased in families that included patients with T1D, and DKA might play a role in such coaggregation with MDD and ADHD. Future studies are warranted to investigate the underlying mechanisms.

Mortality after discharge from hospital following an episode of diabetic ketoacidosis

AIMS

The rate of inpatient mortality associated with diabetic ketoacidosis (DKA) has steadily decreased in recent decades. However, there remains a significantly increased outpatient death rate following an episode of survived DKA. We undertook this study to investigate the observed increase in mortality following an episode of DKA.

METHODS

We completed a retrospective cohort study to investigate rates and causes of death in people admitted to our hospital with DKA between 2013 and 2018. DKA was confirmed by pre-defined biochemical parameters and cause of death data was extracted from multiple sources. Follow-up was for two years after discharge for all participants with one-year mortality being the main time point for analysis.

RESULTS

We identified 818 admissions to hospital with DKA, affecting 284 people. Twenty people died as inpatients and a further 40 people died during the two-year follow-up. Of these 60 participants, cause of death was able to be determined for 41 (68%), with most deaths occurring due to infection or macrovascular disease. Risk factors for death within a year of hospital discharge included older age, vascular complications of diabetes, intellectual impairment and residential care living. Those who survived an episode of DKA had a one-year age-corrected mortality rate 13 times higher than the general population. This was more marked in the younger cohort with those aged 15-39 years being 49 times more likely to die in the year after surviving a DKA admission compared to their general population counterparts.

CONCLUSION

An episode of diabetic ketoacidosis is associated with a significant outpatient mortality risk with most deaths due to infectious or macrovascular causes. This study should prompt investigation of predictive scoring tools to identify those at increased mortality risk after DKA and encourage the development of targeted interventions to reduce mortality.

Clinical characteristics and outcomes of care in patients hospitalized with diabetic ketoacidosis

AIMS

To assess the clinical characteristics and outcomes of patients hospitalized with DKA.

METHODS

We examined the hospital database for patients admitted with DKA to all government hospitals in Qatar over 6 years.

RESULTS

We evaluated a total of 1330 patients [(37.3 % with type 1 diabetes (T1DM) and 62.7 % with type 2 diabetes (T2DM)] with 1613 episodes of DKA. Patients with T2DM were older than those with T1DM [48.0 (38.0-60.0), 26.0 (21.0-31.0) years] while there was no difference in DKA severity and laboratory values on admission or time to resolution of DKA. Admission to the intensive care unit was higher (38.9 % vs. 26.6 %; P < 0.001) with a longer hospital stay [5 (2.0-9.0) vs. 2 (2.0-4.0) days, P < 0.001] and markedly higher mortality (7.4 % vs. 1 %; P < 0.001) in patients with T2DM compared to T1DM. On multivariable logistic regression analysis, significant predictors of mortality were older age (odds ratio, 1.11; 95 % CI, 1.07-1.15; P = 0.0001), and admission to the intensive care unit (odds ratio, 3.61; 95 % CI, 1.69-7.72;P = 0.001).

CONCLUSION

In this national cohort of patients hospitalized with DKA, those with T2DM had a 7-fold increase in inpatient mortality associated with older age and admission to the intensive care unit.

Hospital re-admission after critical care survival: a systematic review and meta-analysis

Survivors of critical illness frequently require increased healthcare resources after hospital discharge. We undertook a systematic review and meta-analysis to assess hospital re-admission rates following critical care admission and to explore potential re-admission risk factors. We searched the MEDLINE, Embase and CINAHL databases on 05 March 2020. Our search strategy incorporated controlled vocabulary and text words for hospital re-admission and critical illness, limited to the English language. Two reviewers independently applied eligibility criteria and assessed quality using the Newcastle Ottawa Score checklist and extracted data. The primary outcome was acute hospital re-admission in the year after critical care discharge. Of the 8851 studies screened, 87 met inclusion criteria and 41 were used within the meta-analysis. The analysis incorporated data from 3,897,597 patients and 741,664 re-admission episodes. Pooled estimates for hospital re-admission after critical illness were 16.9% (95%CI: 13.3-21.2%) at 30 days; 31.0% (95%CI: 24.3-38.6%) at 90 days; 29.6% (95%CI: 24.5-35.2%) at six months; and 53.3% (95%CI: 44.4-62.0%) at 12 months. Significant heterogeneity was observed across included studies. Three risk factors were associated with excess acute care rehospitalisation one year after discharge: the presence of comorbidities; events during initial hospitalisation (e.g. the presence of delirium and duration of mechanical ventilation); and subsequent infection after hospital discharge. Hospital re-admission is common in survivors of critical illness. Careful attention to the management of pre-existing comorbidities during transitions of care may help reduce healthcare utilisation after critical care discharge. Future research should determine if targeted interventions for at-risk critical care survivors can reduce the risk of subsequent rehospitalisation.

Features and long-term outcomes of patients hospitalized for diabetic ketoacidosis

BACKGROUND

Diabetic ketoacidosis (DKA) is an acute metabolic complication characterized by hyperglycaemia, ketones in blood or urine, and acidosis.

OBJECTIVE

The aim of this study was to characterize features of patients hospitalized for DKA, to identify triggers for DKA and to evaluate the long-term effects of DKA on glycaemic control, complications of diabetes, re-hospitalizations, and mortality.

METHODS

Historical prospectively collected data of patients hospitalized to medical wards for DKA between 2011 and 2017. Data regarding comorbidities, mortality, triggers, and re-hospitalizations for DKA were also collected.

RESULTS

The cohort consisted of 160 patients (mean age 38 ± 18 years, 43% male). One fifth of the patients (34 patients, 21%) were newly diagnosed with diabetes, and DKA was their first presentation of the disease. Among the 126 patients with pre-existing diabetes, the common identified triggers for DKA were poor compliance to treatment (22%) and infectious diseases (18%). During over 7 years of follow-up, mortality rate was 9% (15 patients), and re-hospitalization for DKA rate was 31% (50 patients). Risk factors for re-hospitalization for DKA included young age (OR = 1.02, 95% CI, 1.00-1.04), pre-existing diabetes compared to DKA as the first presentation (OR = 5.4, 95% CI, 1.7-18), and poorer glycaemic control before initial hospitalization (10.5 ± 2.5% vs. 9.4 ± 2.2%; OR = 0.8, 95% CI [0.68-0.96]) and after discharge (10.3 ± 2.4% vs. 9.0 ± 1.9%; OR = 0.73, 95% CI [0.61-0.87]). Laboratory tests during the initial hospitalization, smoking, alcohol, or comorbidities did not increase the risk for re-hospitalization for DKA.

CONCLUSIONS

The risk for readmission for DKA is higher for young patients with long duration of diabetes, poor compliance of insulin treatment and poorly controlled diabetes.

Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis: an analysis of the MIMIC-III database

BACKGROUND

This study aimed to develop and validate a nomogram for predicting acute kidney injury (AKI) during the Intensive Care Unit (ICU) stay of patients with diabetic ketoacidosis (DKA).

METHODS

A total of 760 patients diagnosed with DKA from the Medical Information Mart for Intensive Care III (MIMIC-III) database were included and randomly divided into a training set (70%, n = 532) and a validation set (30%, n = 228). Clinical characteristics of the data set were utilized to establish a nomogram for the prediction of AKI during ICU stay. The least absolute shrinkage and selection operator (LASSO) regression was utilized to identified candidate predictors. Meanwhile, a multivariate logistic regression analysis was performed based on variables derived from LASSO regression, in which variables with P < 0.1 were included in the final model. Then, a nomogram was constructed applying these significant risk predictors based on a multivariate logistic regression model. The discriminatory ability of the model was determined by illustrating a receiver operating curve (ROC) and calculating the area under the curve (AUC). Moreover, the calibration plot and Hosmer-Lemeshow goodness-of-fit test (HL test) were conducted to evaluate the performance of our newly bullied nomogram. Decision curve analysis (DCA) was performed to evaluate the clinical net benefit.

RESULTS

A multivariable model that included type 2 diabetes mellitus (T2DM), microangiopathy, history of congestive heart failure (CHF), history of hypertension, diastolic blood pressure (DBP), urine output, Glasgow coma scale (GCS), and respiratory rate (RR) was represented as the nomogram. The predictive model demonstrated satisfied discrimination with an AUC of 0.747 (95% CI, 0.706-0.789) in the training dataset, and 0.712 (95% CI, 0.642-0.782) in the validation set. The nomogram showed well-calibrated according to the calibration plot and HL test (P > 0.05). DCA showed that our model was clinically useful.

CONCLUSION

The nomogram predicted model for predicting AKI in patients with DKA was constructed. This predicted model can help clinical physicians to identify the patients with high risk earlier and prevent the occurrence of AKI and intervene timely to improve prognosis.

A systematic review considering risk factors for mortality of patients discharged from hospital with a diagnosis of diabetes

AIM

To identify known risk factors for mortality for adult patients, discharged from hospital with diabetes.

METHOD

The systematic review was based on the PRISMA protocol. Studies were identified through EMBASE & MEDLINE databases. The inclusion criteria were papers that were published over the last 6 years, in English language, and focused on risk factors of mortality in adult patients with diabetes, after they were discharged from hospitals. This was followed by data extraction "with quality assessment and semi-quantitative synthesis according to PRISMA guidelines".

RESULTS

There were 35 studies identified, considering risk factors relating to mortality for patients, discharged from hospital with diabetes. These studies are distributed internationally. 48 distinct statistically significant risk factors for mortality can be identified. Risk factors can be grouped into the following categories; demographic, socioeconomic, lifestyle, patient medical, inpatient stay, medication related, laboratory results, and gylcaemic status. These risk factors can be further divided into risk factors identified in generalized populations of patients with diabetes, compared to specific sub-populations of people with diabetes.

CONCLUSION

A relatively small number of studies have considered risk factors relating to mortality for patients, discharged from hospital with a diagnosis of diabetes. Mortality is an important outcome, when considering discharge from hospital with diabetes. However, there has only been limited consideration within the research literature.

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model

BACKGROUND AND OBJECTIVE

Type 2 diabetes mellitus (T2DM) complications seriously affect the quality of life and could not be cured completely. Actions should be taken for prevention and self-management. Analysis of warning factors is beneficial for patients, on which some previous studies focused. They generally used the professional medical test factors or complete factors to predict and prevent, but it was inconvenient and impractical for patients to self-manage. With this in mind, this study built a Bayesian network (BN) model, from the perspective of diabetic patients' self-management and prevention, to predict six complications of T2DM using the selected warning factors which patients could have access from medical examination. Furthermore, the model was analyzed to explore the relationships between physiological variables and T2DM complications, as well as the complications themselves. The model aims to help patients with T2DM self-manage and prevent themselves from complications.

METHODS

The dataset was collected from a well-known data center called the National Health Clinical Center between 1st January 2009 and 31st December 2009. After preprocess and impute the data, a BN model merging expert knowledge was built with Bootstrap and Tabu search algorithm. Markov Blanket (MB) was used to select the warning factors and predict T2DM complications. Moreover, a Bayesian network without prior information (BN-wopi) model learned using 10-fold cross-validation both in structure and in parameters was added to compare with other classifiers learned using 10-fold cross-validation fairly. The warning factors were selected according the structure learned in each fold and were used to predict. Finally, the performance of two BN models using warning features were compared with Naïve Bayes model, Random Forest model, and C5.0 Decision Tree model, which used all features to predict. Besides, the validation parameters of the proposed model were also compared with those in existing studies using some other variables in clinical data or biomedical data to predict T2DM complications.

RESULTS

Experimental results indicated that the BN models using warning factors performed statistically better than their counterparts using all other variables in predicting T2DM complications. In addition, the proposed BN model were effective and significant in predicting diabetic nephropathy (DN) (AUC: 0.831), diabetic foot (DF) (AUC: 0.905), diabetic macrovascular complications (DMV) (AUC: 0.753) and diabetic ketoacidosis (DK) (AUC: 0.877) with the selected warning factors compared with other experiments.

CONCLUSIONS

The warning factors of DN, DF, DMV, and DK selected by MB in this research might be able to help predict certain T2DM complications effectively, and the proposed BN model might be used as a general tool for prevention, monitoring, and self-management.

Outcomes of diabetic ketoacidosis in a tertiary centre with restricted intensive care unit bed capacity

BACKGROUND

Diabetic ketoacidosis (DKA) is an acute metabolic condition, sometimes requiring admission to an intensive care unit (ICU).

AIMS

To investigate the outcomes of DKA patients admitted to a hospital with restricted ICU capacity.

METHODS

We included all DKA patients above age 18 who were admitted to a tertiary hospital during 2004-2017. We conducted multivariate logistic regression analysis adjusted for ICU bed availability to analyse parameters associated with ICU admission, and a composite outcome of mortality, DKA recurrence and mechanical ventilation.

RESULTS

Among 382 DKA patients in our cohort, 94 (24.6%) were admitted to the ICU. The in-hospital mortality was 4.7%. Low bicarbonate (<10 mmoL/L) and pH (<7) levels at presentation were associated with ICU admission (P < 0.001 for both). In multivariate models availability of beds in the ICU was not associated with ICU admission, mortality or DKA recurrence of any type.

CONCLUSION

In a setting of limited ICU capacity, DKA treatment does not necessarily require admission to the ICU. When the rising rates of diabetes mellitus and the associated elevated rates of DKA are taken into account, our results highlight the importance of including step-down units when devising local protocols for care of these patients.

Trends in Hyperglycemic Crisis Hospitalizations and in- and out-of-Hospital Mortality in the Last Decade Based on Korean National Health Insurance Claims Data

BACKGROUND

Hyperglycemic crisis is a metabolic emergency associated with diabetes mellitus. However, accurate epidemiologic information on cases of hyperglycemic crisis in Korea remains scarce. We evaluated trends in hyperglycemic crisis hospitalizations and in- and out-of-hospital mortality in Korea. We also predicted future trends.

METHODS

We extracted claims data with hyperglycemic crisis as the principal diagnosis from the National Health Insurance Service database in Korea from January 2004 to December 2013. We investigated the numbers of claims with hyperglycemic crisis and identified trends in hyperglycemic crisis based on those claims data. We predicted future trends by statistical estimation.

RESULTS

The total annual number of claims of hyperglycemic crisis increased from 2,674 in 2004 to 5,540 in 2013. Statistical analysis revealed an increasing trend in hyperglycemic crisis hospitalizations (P for trend <0.01). In contrast, the hospitalization rate per 1,000 diabetes cases showed a decreasing trend (P for trend <0.01) during this period. The mortality rate per 1,000 diabetes cases also showed a decreasing trend (P for trend <0.0001). However, no distinct linear trend in the case-related fatality rate at <60 days over the last decade was observed. The predicted number of annual claims of hyperglycemic crisis will increase by 2030.

CONCLUSION

The number of hyperglycemic crisis hospitalizations in Korea increased in the last decade, although the hospitalization rate per 1,000 diabetes cases and mortality rate decreased. Also, the predicted number of annual claims will increase in the future. Thus, it is necessary to establish long-term healthcare policies to prevent hyperglycemic crisis.

Mistaken Identity: Missed Diagnosis of Type 1 Diabetes in an Older Adult

Type 1 diabetes can occur at any age from infancy to elderhood. Patients with hyperglycemia onset at older ages are presumed to have type 2 diabetes, but the misdiagnosis of type 2 diabetes as type 1 diabetes in adults has serious consequences. Medical error in this domain leads to significant patient harm that could be avoided with the correct diagnostic testing. Here, we discuss the case of a 58-year-old man who presented with diabetic ketoacidosis (DKA) at age 51 but was given the diagnosis of type 2 diabetes. During two subsequent admissions for DKA, he suffered severe complications. After his third episode of DKA, antibodies and C-peptide were checked, prompting a change in diagnosis to T1DM. Following a correct diagnosis of T1DM, diabetes education and appropriate treatment, the patient remained free of DKA and had improved glucose control. Under-diagnosis of type 1 diabetes can lead to recurrence of life-threatening episodes of DKA. Anti-GAD antibody and C-peptide testing are under-utilized in the differential diagnosis of type 1 versus type 2 diabetes in adults. This case demonstrates the consequences of the mis-diagnosis of type 1 diabetes as type 2 diabetes. The correct diagnosis is necessary to prevent hospital readmissions, morbidity, mortality and medical errors.