Subsequent mortality after hyperglycemic crisis episode in the non-elderly: a national population-based cohort study

Risk of chronic kidney disease in patients with a hyperglycemic crisis as the initial presentation of type 2 diabetes

Limited data exist on long-term renal outcomes in patients with hyperglycemic crisis (HC) as initial type 2 diabetes presentation. We evaluated the risk of chronic kidney disease (CKD) development in those with concurrent HC at diagnosis. Utilizing Taiwan's insurance claims from adults newly diagnosed with type 2 diabetes during 2006-2015, we created HC and matched non-HC cohorts. We assessed incident CKD/diabetic kidney disease (DKD) by 2018's end, calculating the hazard ratio (HR) with the Cox model. Each cohort comprised 13,242 patients. The combined CKD and DKD incidence was two-fold higher in the HC cohort than in the non-HC cohort (56.47 versus 28.49 per 1000 person-years) with an adjusted HR (aHR) of 2.00 (95% confidence interval [CI] 1.91-2.10]). Risk increased from diabetic ketoacidosis (DKA) (aHR:1.69 [95% CI 1.59-1.79]) to hyperglycemic hyperosmolar state (HHS) (aHR:2.47 [95% CI 2.33-2.63]) and further to combined DKA-HHS (aHR:2.60 [95% CI 2.29-2.95]). Subgroup analysis in individuals aged ≥ 40 years revealed a similar trend with slightly reduced incidences and HRs. Patients with HC as their initial type 2 diabetes presentation face a higher CKD risk than do those without HC. Enhanced medical attention and customized interventions are crucial to reduce this risk.

The Implication of Elevated Serum Myoglobin Level in Acute Diabetic Complications of Ketoacidosis and Hyperglycemic Hyperosmolar State: A Real-World Study

Objective

To investigate the implications of elevated myoglobin (MYO) in acute diabetic conditions of diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS).

Materials and methods

This study integrates in-patient data from Shanghai Pudong Hospital from 2019 to 2023. Laboratory data were compared between stable T2D patients (without acute diabetic complications), DKA, and HHS patients. The multilinear regression explored variables relevant to the elevated MYO in DKA and HHS. The dynamics of MYO, the survival rate, and associated risk factors in HHS were determined.

Results

Except for triglyceride, procalcitonin, low-density lipoprotein, islet cell autoimmune antibodies, N-terminal Pro-brain natriuretic peptide (NT-ProBNP), and brain natriuretic peptide (BNP), there were significant differences in age, gender distribution, duration of diabetes, type of diabetes, and other referred laboratory data (p<0.05). The age, gender, creatine kinase (CK), estimated glomerular filtration rate (eGFR), and free triiodothyronine (FT3) in DKA, whereas osmolar, uric acid (UA), and cardiac troponin I (cTNI) in the HHS, were significant determinants of elevated MYO, respectively (p<0.05). The dynamic of MYO in HHS was in line with the survival trend, where the percentage of death was 29.73%, and aging with higher procalcitonin levels was a key risk factor. Besides, the cumulative survival rates between patients with or without bone fracture or muscle injury were substantially different.

Conclusion

This real-world study demonstrated DKA and HHS potentially have unique causes for increased MYO. By utilizing the appropriate regression parameters, we could forecast the progression of increased MYO in groups of DKA and HHS, while based on risk factors of aging, severity of infection, and different MYO sources, we could predict the prognosis of HHS.

Association between blood urea nitrogen to serum albumin ratio and in-hospital mortality in critical patients with diabetic ketoacidosis: a retrospective analysis of the eICU database

Background

This study aimed to investigate the association between blood urea nitrogen to serum albumin ratio (BAR) and the risk of in-hospital mortality in patients with diabetic ketoacidosis.

Methods

A total of 3,962 diabetic ketoacidosis patients from the eICU Collaborative Research Database were included in this analysis. The primary outcome was in-hospital death.

Results

Over a median length of hospital stay of 3.1 days, 86 in-hospital deaths were identified. One unit increase in LnBAR was positively associated with the risk of in-hospital death (hazard ratio [HR], 1.82 [95% CI, 1.42-2.34]). Furthermore, a nonlinear, consistently increasing correlation between elevated BAR and in-hospital mortality was observed (P for trend =0.005 after multiple-adjusted). When BAR was categorized into quartiles, the higher risk of in-hospital death (multiple-adjusted HR, 1.99 [95% CI, (1.1-3.6)]) was found in participants in quartiles 3 to 4 (BAR≥6.28) compared with those in quartiles 1 to 2 (BAR<6.28). In the subgroup analysis, the LnBAR-hospital death association was significantly stronger in participants without kidney insufficiency (yes versus no, P-interaction=0.023).

Conclusion

There was a significant and positive association between BAR and the risk of in-hospital death in patients with diabetic ketoacidosis. Notably, the strength of this association was intensified among those without kidney insufficiency.

Understanding the Complexity of Hyperglycemic Emergencies: Exploring the Influence of the Type and Duration of Diabetes Mellitus and Its Impact on Mortality

Background Diabetes mellitus remains a pressing global health issue, characterized by chronic metabolic dysfunction and the potential for life-threatening acute hyperglycemic emergencies. These emergencies, known as diabetic ketoacidosis and hyperosmolar hyperglycemic states, trigger a series of physiological disruptions. This article delves deeply into how the type and duration of diabetes mellitus affect the occurrence of hyperglycemic emergencies and mortality rates. Methods The study was conducted at the Institute of Internal Medicine, Rajiv Gandhi General Hospital, affiliated with Madras Medical College, spanning from July 2021 to December 2021. It encompassed both individuals newly diagnosed with diabetic ketoacidosis and patients already undergoing diabetic treatment who developed diabetic ketoacidosis and hyperosmolar hyperglycemic states. Results Within the study cohort of 110 patients, 37.27% were diagnosed with Type 1 diabetes mellitus, while 62.73% were classified as Type 2 diabetes mellitus patients. Among these individuals, 23.60% were newly diagnosed with diabetes, 22.70% had been diabetic for less than one year, 47.30% had a diabetic history of two to five years, and 6.40% had been diabetic for over six years. However, upon investigating the relationship between diabetes duration and mortality rate, no statistically significant findings were observed. Conclusion Hyperglycemic emergencies represent multifaceted clinical challenges influenced by the interplay of various factors, including the type and duration of the disease. By maintaining effective management of hyperglycemia from the outset and sustaining it throughout their lives, people with diabetes can improve their physical and mental health and reduce the likelihood of developing long-term complications that may negatively impact their overall well-being.

The impact of insurance status on in-hospital mortality in patients with hyperglycaemic crisis: A propensity score matching analysis

AIM

This study was designed to determine the associations between insurance status and clinical outcomes among patients with hyperglycaemic crisis.

METHODS

Overall, 1668 patients with hyperglycaemic crisis were recruited from the Chongqing Medical University Medical Data Science Academy's big data platform. In-hospital mortality, length of stay and complications (i.e., hypoglycaemia, hypokalemia, pulmonary infection, multiple systemic organ failure, acute kidney injury and deep venous thrombosis) were assessed. Propensity score matching analysis was used to reduce the confounding bias, and univariate and multivariate logistic regression were used to estimate the effect of insurance status on mortality in patients with hyperglycaemic crisis.

RESULTS

After matching one uninsured patient to two insured patients with a calliper of 0.02, the uninsured group suffered a higher burden of in-hospital mortality than the insured group (16.9% vs. 9.8%); the insured status (odds ratio = 0.216, 95% confidence interval = 0.079-0.587) was a potential protect factor for in-hospital mortality of patients with hyperglycaemic crisis in the multivariate logistic regression analysis.

CONCLUSIONS

Insurance status is associated with the outcomes of hospitalisation for hyperglycaemic crisis; uninsured patients with hyperglycaemic crisis face a higher risk of mortality in China.

Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time

BACKGROUND

Hyperglycemic crises are associated with high morbidity and mortality. Previous studies have proposed methods to predict adverse outcomes of patients in hyperglycemic crises; however, artificial intelligence (AI) has never been used to predict adverse outcomes. We implemented an AI model integrated with the hospital information system (HIS) to clarify whether AI could predict adverse outcomes.

METHODS

We included 2,666 patients with hyperglycemic crises from emergency departments (ED) between 2009 and 2018. The patients were randomized into a 70%/30% split for AI model training and testing. Twenty-two feature variables from the electronic medical records were collected. The performance of the multilayer perceptron (MLP), logistic regression, random forest, Light Gradient Boosting Machine (LightGBM), support vector machine (SVM), and K-nearest neighbor (KNN) algorithms was compared. We selected the best algorithm to construct an AI model to predict sepsis or septic shock, intensive care unit (ICU) admission, and all-cause mortality within 1 month. The outcomes between the non-AI and AI groups were compared after implementing the HIS and predicting the hyperglycemic crisis death (PHD) score.

RESULTS

The MLP had the best performance in predicting the three adverse outcomes, compared with the random forest, logistic regression, SVM, KNN, and LightGBM models. The areas under the curves (AUCs) using the MLP model were 0.852 for sepsis or septic shock, 0.743 for ICU admission, and 0.796 for all-cause mortality. Furthermore, we integrated the AI predictive model with the HIS to assist decision making in real time. No significant differences in ICU admission or all-cause mortality were detected between the non-AI and AI groups. The AI model performed better than the PHD score for predicting all-cause mortality (AUC 0.796 vs. 0.693).

CONCLUSIONS

A real-time AI predictive model is a promising method for predicting adverse outcomes in ED patients with hyperglycemic crises. Further studies recruiting more patients are warranted.

The V-shaped curve relationship between fasting plasma glucose and human serum albumin in a large health checkup population in China

BACKGROUND

This study aimed to investigate the relationship between fasting plasma glucose (FPG) and human serum albumin (HSA) in a large health checkup population in China.

METHODS

In this cross-sectional health checkup study, we enrolled a population of 284,635 subjects from Wuhu between 2011 and 2016. All participants completed the physical examination, blood biochemical examination, and blood routine examination.

RESULTS

The prevalence of diabetes in men and women was 6.11% and 2.98%, respectively. The average level of HSA and FPG was significantly higher in men than in women (48.44 ± 3.25 vs. 47.14 ± 3.22, P < 0.0001; 5.50 ± 1.26 vs. 5.26 ± 0.94, P < 0.0001). There were significant differences in blood biochemistry and blood routine values by gender. After adjusting for confounding factors, the results showed that FPG and HSA were a V-shaped curve, and the threshold value of HSA was 40.7 mmol/L. FPG and HSA still showed a V-shaped curve after stratification by gender and age. In the male group, FPG decreased with HSA when HSA<42.3 mmol/L, and increased when HSA ≥ 42.3 mmol/L. In the female group, FPG decreased with HSA when HSA<35.7 mmol/L, and increased when HSA ≥ 35.7 mmol/L. In the age<65 group, FPG decreased with HSA when HSA<37.5 mmol/L, and increased when HSA ≥ 37.5 mmol/L. In the age ≥ 65 group, FPG decreased with HSA when HSA<43.2 mmol/L, and increased when HSA ≥ 43.2 mmol/L.

CONCLUSIONS

A V-shape relationship exists between fasting plasma glucose and human serum albumin among the Chinese health checkup population studied.

Mortality prediction in patients with hyperglycaemic crisis using explainable machine learning: a prospective, multicentre study based on tertiary hospitals

BACKGROUND

Experiencing a hyperglycaemic crisis is associated with a short- and long-term increased risk of mortality. We aimed to develop an explainable machine learning model for predicting 3-year mortality and providing individualized risk factor assessment of patients with hyperglycaemic crisis after admission.

METHODS

Based on five representative machine learning algorithms, we trained prediction models on data from patients with hyperglycaemic crisis admitted to two tertiary hospitals between 2016 and 2020. The models were internally validated by tenfold cross-validation and externally validated using previously unseen data from two other tertiary hospitals. A SHapley Additive exPlanations algorithm was used to interpret the predictions of the best performing model, and the relative importance of the features in the model was compared with the traditional statistical test results.

RESULTS

A total of 337 patients with hyperglycaemic crisis were enrolled in the study, 3-year mortality was 13.6% (46 patients). 257 patients were used to train the models, and 80 patients were used for model validation. The Light Gradient Boosting Machine model performed best across testing cohorts (area under the ROC curve 0.89 [95% CI 0.77-0.97]). Advanced age, higher blood glucose and blood urea nitrogen were the three most important predictors for increased mortality.

CONCLUSION

The developed explainable model can provide estimates of the mortality and visual contribution of the features to the prediction for an individual patient with hyperglycaemic crisis. Advanced age, metabolic disorders, and impaired renal and cardiac function were important factors that predicted non-survival.

TRIAL REGISTRATION NUMBER

ChiCTR1800015981, 2018/05/04.

All-cause mortality after hypoglycemic and hyperglycemic emergencies among U.S. adults with diabetes, 2011-2020

Estimated all-cause mortality within 30-days of hypoglycemic emergencies is 0.8 % in adults with type 1 diabetes and 1.7 % with type 2 diabetes; and within 30-days of hyperglycemic emergencies, it is 1.2 % with type 1 diabetes and 2.8 % with type 2 diabetes. These rates changed little between 2011 and 2020.

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.

Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach

OBJECTIVE

The outcome of DFUs concomitant with HCE remains unknown. This study aimed to investigate mortality rates and identify risk factors of mortality in patients with DFUs-HCE.

METHODS

27 inpatients with DFUs-HCE were retrospectively enrolled in a cohort design, they were compared to 93 inpatients with DFUs in a city designated emergency center, between January 2016 and January 2021. After a 6-year followed-up, clinical characteristic, amputation and survival rates were compared. Extreme gradient boosting was further used to explore the relative importance of HCE and other risk factors to all-cause mortality in DFUs.

RESULTS

Patients with DFUs-HCE were more likely to havedementia, acute kidney injury and septic shock, whereas DFUs were more likely to have diabetic peripheral neuropathy and ulcer recurrence (P<0.05). No significant difference was observed on the amputation rate and diabetes duration. Both Kaplan-Meier curves and adjusted Cox proportional model revealed that DFUs-HCE was associated with a higher mortality compared with DFUs (P<0.05). HCE significantly increased the risk of mortality in patients with DFUs (hazard ratio, 1.941; 95% CI 1.018-3.700; P = 0.044) and was independent from other confounding factors (age, sex, diabetes duration, Wagner grades and Charlson Comorbidity Index). The XGBoost model also revealed that HCE was one of the most important risk factors associated with all-cause mortality in patients with DFUs.

CONCLUSIONS

DFUs-HCE had significantly lower immediate survival rates (first 1-6 month) than DFUs alone. HCE is an important risk factor for death in DFUs patients.

Lifetime risk and health-care burden of diabetic ketoacidosis: A population-based study

OBJECTIVE

Diabetic ketoacidosis (DKA) is a life-threatening complication of both type 1 and type 2 diabetes. We aimed to assess population-based rates, trends and outcomes of patients with DKA.

DESIGN AND METHODS

This is a nationwide cohort study using hospital discharge claims data from 2010 to 2018 in Switzerland. Incidence rates and in-hospital outcomes of DKA were analyzed throughout lifetime for children (0-9 years), adolescents (10-19 years), and adults (20-29, 30-59, and 60-90 years). Analyses were stratified for type of diabetes mellitus and sex.

RESULTS

In total, 5,544 hospitalizations with DKA were identified, of whom 3,847 were seen in patients with type 1 diabetes and 1,697 in type 2 diabetes. Incidence rates of DKA among patients with type 1 diabetes were highest during adolescence with 17.67 (girls) and 13.87 (boys) events per 100,000 person-years (incidence rate difference [IRD]: -3.80 [95% CI, -5.59 to -2.02]) and decreased with age in both sexes thereafter. Incidence rates of DKA in patients with type 2 diabetes were low up to an age of 40 years and rose to 5.26 (females) and 6.82 (males) per 100,000 person-years in adults aged 60-90 years. Diabetic ketoacidosis was associated with relevant health-care burden independent of age, sex, or type of diabetes. The population-based incidence rate of DKA increased over time from 7.22 per 100,000 person-years in 2010 to 9.49 per 100,000 person-years in 2018.

CONCLUSIONS

In type 1 diabetes highest incidence rates of DKA hospitalizations were observed among adolescent females. In comparison, in patients with type 2 diabetes the risk for DKA steadily increased with age with higher rates in adult males. Over the 9 year study period, incidence rates of DKA were increasing irrespective of type of diabetes. DKA was associated with a high burden of disease reflected by high rates of intensive care unit admission, prolonged hospital stay and high mortality rates, especially in elderly.

Activation of neutral sphingomyelinase 2 through hyperglycemia contributes to endothelial apoptosis via vesicle-bound intercellular transfer of ceramides

Background

Pro-apoptotic and pro-inflammatory ceramides are crucially involved in atherosclerotic plaque development. Local cellular ceramide accumulation mediates endothelial apoptosis, especially in type 2 diabetes mellitus, which is a major cardiovascular risk factor. In recent years, large extracellular vesicles (lEVs) have been identified as an important means of intercellular communication and as regulators of cardiovascular health and disease. A potential role for lEVs as vehicles for ceramide transfer and inductors of diabetes-associated endothelial apoptosis has never been investigated.

Methods and Results

A mass-spectrometric analysis of human coronary artery endothelial cells (HCAECs) and their lEVs revealed C16 ceramide (d18:1–16:0) to be the most abundant ceramide in lEVs and to be significantly increased in lEVs after hyperglycemic injury to HCAECs. The increased packaging of ceramide into lEVs after hyperglycemic injury was shown to be dependent on neutral sphingomyelinase 2 (nSMase2), which was upregulated in glucose-treated HCAECs. lEVs from hyperglycemic HCAECs induced apoptosis in the recipient HCAECs compared to native lEVs from untreated HCAECs. Similarly, lEVs from hyperglycemic mice after streptozotocin injection induced higher rates of apoptosis in murine endothelial cells compared to lEVs from normoglycemic mice. To generate lEVs with high levels of C16 ceramide, ceramide was applied exogenously and shown to be effectively packaged into the lEVs, which then induced apoptosis in lEV-recipient HCAECs via activation of caspase 3. Intercellular transfer of ceramide through lEVs was confirmed by use of a fluorescently labeled ceramide analogue. Treatment of HCAECs with a pharmacological inhibitor of nSMases (GW4869) or siRNA-mediated downregulation of nSMase2 abrogated the glucose-mediated effect on apoptosis in lEV-recipient cells. In contrast, for small EVs (sEVs), hyperglycemic injury or GW4869 treatment had no effect on apoptosis induction in sEV-recipient cells.

Conclusion

lEVs mediate the induction of apoptosis in endothelial cells in response to hyperglycemic injury through intercellular transfer of ceramides.

Graphical abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s00018-021-04049-5.

Sociodemographic, Clinical, and Treatment-Related Factors Associated With Hyperglycemic Crises Among Adults With Type 1 or Type 2 Diabetes in the US From 2014 to 2020

IMPORTANCE

Hyperglycemic crises (ie, diabetic ketoacidosis [DKA] and hyperglycemic hyperosmolar state [HHS]) are life-threatening acute complications of diabetes. Efforts to prevent these events at the population level have been hindered by scarce granular data and difficulty in identifying individuals at highest risk.

OBJECTIVE

To assess sociodemographic, clinical, and treatment-related factors associated with hyperglycemic crises in adults with type 1 or type 2 diabetes in the US from 2014 to 2020.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study analyzed administrative claims and laboratory results for adults (aged ≥18 years) with type 1 or type 2 diabetes from the OptumLabs Data Warehouse from January 1, 2014, through December 31, 2020.

MAIN OUTCOMES AND MEASURES

Rates of emergency department or hospital visits with a primary diagnosis of DKA or HHS (adjusted for age, sex, race/ethnicity, and region, and for year when calculating annualized rates) were calculated separately for patients with type 1 diabetes and type 2 diabetes. The associations of sociodemographic factors (age, sex, race/ethnicity, region, and income), clinical factors (comorbidities), and treatment factors (glucose-lowering medications, hemoglobin A1c) with DKA or HHS in patients with type 1 or type 2 diabetes were assessed using negative binomial regression.

RESULTS

Among 20 156 adults with type 1 diabetes (mean [SD] age, 46.6 [16.5] years; 51.2% male; 72.6% White race/ethnicity) and 796 382 with type 2 diabetes (mean [SD] age, 65.6 [11.8] years; 50.3% female; 54.4% White race/ethnicity), adjusted rates of hyperglycemic crises were 52.69 per 1000 person-years (95% CI, 48.26-57.12 per 1000 person-years) for type 1 diabetes and 4.04 per 1000 person-years (95% CI, 3.88-4.21 per 1000 person-years) for type 2 diabetes. In both groups, factors associated with the greatest hyperglycemic crisis risk were low income (≥$200 000 vs <$40 000: type 1 diabetes incidence risk ratio [IRR], 0.61 [95% CI, 0.46-0.81]; type 2 diabetes IRR, 0.69 [95% CI, 0.56-0.86]), Black race/ethnicity (vs White race/ethnicity: type 1 diabetes IRR, 1.33 [95% CI, 1.01-1.74]; type 2 diabetes IRR, 1.18 [95% CI, 1.09-1.27]), high hemoglobin A1c level (≥10% vs 6.5%-6.9%: type 1 diabetes IRR, 7.81 [95% CI, 5.78-10.54]; type 2 diabetes IRR, 7.06 [95% CI, 6.26-7.96]), history of hyperglycemic crises (type 1 diabetes IRR, 7.88 [95% CI, 6.06-9.99]; type 2 diabetes IRR, 17.51 [95% CI, 15.07-20.34]), severe hypoglycemia (type 1 diabetes IRR, 2.77 [95% CI, 2.15-3.56]; type 2 diabetes IRR, 4.18 [95% CI, 3.58-4.87]), depression (type 1 diabetes IRR, 1.62 [95% CI, 1.37-1.92]; type 2 diabetes IRR, 1.46 [95% CI, 1.34-1.59]), neuropathy (type 1 diabetes IRR, 1.64 [95% CI, 1.39-1.93]; type 2 diabetes IRR, 1.25 [95% CI, 1.17-1.34]), and nephropathy (type 1 diabetes IRR, 1.22 [95% CI, 1.01-1.48]; type 2 diabetes IRR, 1.23 [95% CI, 1.14-1.33]). Age had a U-shaped association with hyperglycemic crisis risk in patients with type 1 diabetes (compared with patients aged 18-44 years: 45-64 years IRR, 0.72 [95% CI, 0.59-0.87]; 65-74 years IRR, 0.62 [95% CI, 0.47-0.80]; ≥75 years IRR, 0.96 [95% CI, 0.66-1.38]). In type 2 diabetes, risk of hyperglycemic crises decreased progressively with age (45-64 years IRR, 0.57 [95% CI, 0.51-0.63]; 65-74 years IRR, 0.44 [95% CI, .39-0.49]; ≥75 years IRR, 0.41 [95% CI, 0.36-0.47]). In patients with type 2 diabetes, higher risk was associated with sodium-glucose cotransporter 2 inhibitor therapy (IRR, 1.30; 95% CI, 1.14-1.49) and insulin dependency (compared with regimens with bolus insulin: regimens with basal insulin only, IRR, 0.69 [95% CI, 0.63-0.75]; and without any insulin, IRR, 0.36 [95% CI, 0.33-0.40]).

CONCLUSIONS AND RELEVANCE

In this cohort study, younger age, Black race/ethnicity, low income, and poor glycemic control were associated with an increased risk of hyperglycemic crises. The findings suggest that multidisciplinary interventions focusing on groups at high risk for hyperglycemic crises are needed to prevent these dangerous events.

Risk of Dementia in Diabetic Patients with Hyperglycemic Crisis: A Nationwide Taiwanese Population-Based Cohort Study

BACKGROUND

A hyperglycemic crisis episode (HCE) signifies poor control of diabetes and may increase the risk of dementia via microvascular and macrovascular injuries.

OBJECTIVES

We conducted this study to clarify this issue, which remains unclear.

METHODS

Using the Taiwan National Health Insurance Database, we identified 9,466 diabetic patients with HCE and the identical number of diabetic patients without HCE who were matched by age and sex for this nationwide population-based cohort study. The risk of dementia was compared between the 2 cohorts by following up until 2014. Investigation of independent predictors of dementia was also done.

RESULTS

In the overall analysis, the risk of dementia between the 2 cohorts was not different. However, stratified analyses showed that patients with HCE had a higher risk of subsequent dementia in the age subgroup of 45-54 and 55-64 years (adjusted odds ratio [AOR]: 2.4, 95% confidence interval [CI]: 1.6-3.6, and AOR: 1.2, 95% CI: 1.0-1.5, respectively). In the overall analysis, older age, female sex, ≥3 HCEs, hypertension, hyperlipidemia, depression, cerebrovascular disease, Parkinson's disease, and head injury were independent predictors.

CONCLUSIONS

HCE increased the risk of dementia in diabetic patients aged 45-64 years. Dementia was predicted by ≥3 HCEs. Prevention of recurrent HCE, control of comorbidities, and close follow-up of cognitive decline and dementia are suggested in patients with HCE.

Association of Long Noncoding RNAs Polymorphisms with the Risk of Esophagogastric Junction Adenocarcinoma: A Three-Center Study of 1063 Cases and 1677 Controls

Increasing evidence suggested that long noncoding RNAs (lncRNAs) variants may be involved in the progression of various cancers. However, the association of the lncRNAs polymorphisms with the risk for esophagogastric junction adenocarcinoma (EGJA) is still unknown. In this case-control study, we selected two cancer-related lncRNAs polymorphisms (rs944289 C > T and rs7990916 C>T), and recruited a total of 1063 EGJA patients and 1677 noncancer controls to determine whether the lncRNAs rs944289 C > T and rs7990916 C > T polymorphisms could influence EGJA susceptibility and lymph node status. And SNPscan™ genotyping assay was applied to test the genotypes of the mentioned two variants. We found no statistically significant differences in the distribution of lncRNAs rs944289 C > T and rs7990916 C > T polymorphisms between EGJA patients and healthy controls. Similar negative findings were also revealed in the correlation of those polymorphisms with different lymph node status. However, after adjustment by multiple environmental factors, including gender, age, drinking, and smoking consumption, the stratified analyses showed that the lncRNAs rs944289 C > T variant was significantly related with the risk of EGJA in <60 years populations [CT vs. CC: adjusted odds ratio (OR) = 0.75, 95% confidence interval (CI) = 0.58-0.98, p = 0.032] and ever smoking populations (CT/CC vs. TT: adjusted OR = 1.65, 95% CI = 1.11-2.46, p = 0.013). In short, this population-based study highlights that lncRNAs rs944289 C > T polymorphism may be associated with genetic susceptibility to EGJA in the <60 years and ever smoking populations.

Risk of hyperglycemic crisis episode in diabetic patients with depression: A nationwide population-based cohort study

AIMS

This study aims to investigate the risk of hyperglycemic crisis episode (HCE) in diabetic patients with depression and to examine the relationship between the duration of antidepressants use and the risk of HCE.

METHODS

In all, 26,746 diabetic patients with depression and 106,853 controls (without depression) matched by gender, age, index year, and Charlson Comorbidity Index (CCI) score were included between 1999 and 2010, then followed until the end of 2013. During the follow-up period, participants who developed HCE were identified. Cox regression analysis was used to calculate the hazard ratio (HR) with 95% confidence interval (CI) of the HCE incidence rate between the two groups studied.

RESULTS

Diabetic patients with depression had a significantly increased risk of HCE compared to unaffected controls after adjusted for gender, age, CCI score, and duration of antidepressants use (2.87 versus 2.50 per 1000 person-years, HR: 1.78, 95% CI: 1.56-2.03). Also, long-term use of antidepressants in diabetic patients with depression showed a significantly reduced risk of HCE compared to non-users after adjusting for the above-mentioned variables (HR: 0.44, 95% CI: 0.35-0.55).

CONCLUSIONS

This study shows diabetic patients with depression have an increased risk of HCE, and the use of antidepressants may reduce its risk.

Recurrent diabetic ketoacidosis and a brief history of brittle diabetes research: contemporary and past evidence in diabetic ketoacidosis research including mortality, mental health and prevention

Pharmacological, technological and educational approaches have advanced the treatment of Type 1 diabetes in the last four decades and yet diabetic ketoacidosis (DKA) continues to be a leading cause of admission in Type 1 diabetes. This article begins by reviewing the contemporary epidemiological evidence in DKA. It highlights a rise in DKA episodes in the last two decades, with DKA continuing to be the leading cause of death in young people with Type 1 diabetes, and that DKA episodes are a marker for subsequent all-cause mortality. It also summarizes the limited evidence base for DKA prevention and associations with psychopathology. To emphasize the importance of this group with high-risk Type 1 diabetes and the degree to which they have been overlooked in the past two decades, the article summarizes the research literature of recurrent DKA during 1976-1991 when it was extensively investigated as part of the phenomenon of 'brittle diabetes'. This period saw numerous basic science studies investigating the pathophysiology of recurrent DKA. Subsequently, research centres published their experiences of brittle diabetes research participants manipulating their treatment under research conditions. Unfortunately, the driver for this behaviour and whether it was indicative of other people with ketoacidosis was not pursued. In summary, we suggest there has been a stasis in the approach to recurrent DKA prevention, which is likely linked to historical cases of mass sabotage of brittle diabetes research. Further investigation is required to clarify possible psychological characteristics that increase the risk of DKA and thereby targets for DKA prevention.

Risk of hyperglycemic crisis episode in diabetic patients with bipolar disorder: A nationwide population-based cohort study

BACKGROUND

Suboptimal management of diabetes can lead to a hyperglycemic crisis episode (HCE), which could be further enhanced in the presence of bipolar disorder (BD) and the prescription of antipsychotics. This study aims to investigate the risk of HCE in diabetic patients with BD. Additionally, the duration of antipsychotic prescription on HCE risk is examined.

METHODS

Using the Taiwan National Health Insurance Research Database, 6099 diabetic patients with BD and 24,378 diabetic patients without BD matched by gender, age, index year, and Charlson Comorbidity Index score were enrolled between 1999 and 2010 and followed to the end of 2013. Participants who developed HCE during the follow-up period were identified. Cox regression analysis was used to calculate the hazard ratio (HR) with 95% confidence interval (CI) of the HCE incidence rate between two groups studied.

RESULTS

Diabetic patients with BD were associated with an increased risk of HCE compared with unaffected controls after adjusted for baseline demographics and duration of antipsychotic prescription (3.84 versus 2.71 per 1,000 person-years, HR: 1.41, 95% CI: 1.15-1.71). Also, this study revealed that male gender, more comorbidities, and a longer duration of antipsychotic prescription were potential risk factors for developing HCE.

LIMITATIONS

This study only deals with data on the duration of antipsychotic prescription, without showing the effects of different antipsychotics on HCE risk.

CONCLUSION

This study highlights the need to pay attention to the risk of HCE in diabetic patients with BD and the importance of careful prescription of antipsychotics to reduce the HCE incident.

Risk of hyperglycaemic crisis episode in diabetic patients with schizophrenia: A nationwide population-based cohort study

AIM

Under-management of diabetes can lead to a hyperglycaemic episode (HCE), which could be further strengthened in the presence of schizophrenia and the use of antipsychotics. This study aims to investigate the risk of HCE in diabetic patients with schizophrenia. Additionally, the duration of antipsychotic use on the risk of HCE is examined.

MATERIALS AND METHODS

A total of 13858 diabetic patients with schizophrenia and 55407 controls (without schizophrenia) matched by gender, age, index year, and Charlson Comorbidity Index score were included between 1999 and 2010 and followed to the end of 2013 using from the Taiwan National Health Insurance Research Database. During the follow-up period, participants who developed HCE were identified. Cox regression analysis was used to calculate the hazard ratio (HR) with 95% confidence interval (95% CI) of the HCE incidence rate between the two groups studied.

RESULTS

Diabetic patients with schizophrenia were associated with an increased risk of HCE compared with unaffected controls after adjusted for baseline demographics and duration of antipsychotic use (4.73 versus 2.43 per 1,000 person-years, HR: 2.16, 95% CI: 1.85-2.51). Also, in diabetic patients with schizophrenia, a longer duration of antipsychotic use was associated with a lower risk of HCE after adjustment for the above-mentioned variables, suggesting a protective effect of antipsychotics against HCE during prolonged use.

CONCLUSION

This study highlights the need to pay more attention to the risk of HCE in diabetic patients with schizophrenia and the importance of proper use of antipsychotics may reduce the risk of HCE.

Diagnostic Usefulness of Serum Albumin as a Predictor of Diabetic Ketoacidosis

Context:

Diabetes mellitus is one of the most prevalent diseases worldwide. One of the acute complications of diabetes mellitus is diabetic ketoacidosis. It becomes essential for the healthcare physicians to identify the individuals who are likely to be prone to the development of ketosis. Serum albumin levels may be a cost-effective and simple parameter to prognosticate the risk of ketosis.

Aims:

This study was done to find a relationship between serum albumin levels and ketonuria.

Settings and Design:

After ethical approval, this prospective case–control study was carried out in patients diagnosed as type-2 diabetes mellitus.

Subjects and Methods:

Serum albumin levels were measured by bromo cresol green method. Measurement of urine ketones was done manually using dipsticks, a semi-quantitative manual method.

Statistical Analysis Used:

Student's t-test was used to compare continuous variables and Chi-square test for categorical variables. Pearson's correlation was done to establish correlation.

Results:

In the normoalbuminemic group, 72% were ketones negative and only 28% had positive ketones in urine, while in the hypoalbuminemic group, 50.7% had negative urine ketones and 49.3% had positive ketonuria. The mean value for ketones in urine was 9.7 mg/dL in the hypoalbuminemic group, but it was only 4.3 mg/dL in the normoalbuminemic group. Pearson's correlation between serum albumin and urine ketone levels was performed and the r-value was found to be −0.305.

Conclusions:

Serum albumin levels may predict the occurrence of ketosis in diabetic patients.

Association of hyperglycemic crisis with an increased risk of end-stage renal disease: A nationwide population-based cohort study

BACKGROUND

A hyperglycemic crisis episode (HCE) is associated with poor management of diabetes, which is a risk factor for end-stage renal disease (ESRD); however, the association between an HCE and ESRD has not been clarified. We conducted a nationwide population-based cohort study with the purpose of delineating this issue.

METHODS

We identified 9208 diabetic patients with an HCE and an identical number of diabetic patients with matched age, sex, and index date without an HCE between 2000 and 2002. A comparison of the risk of ESRD between the diabetic patients with and without an HCE was achieved by a follow-up until 2014.

RESULTS

A Cox proportional hazard regression analysis showed that the diabetic patients with an HCE were at a higher risk of ESRD than those without an HCE (the adjusted hazard ratio [AHR]: 1.47; 95% confidence interval [CI]: 1.34-1.62) by adjusting for renal disease, hypertension, hyperlipidemia, coronary artery disease, hyperuricemia, anemia, chronic obstructive pulmonary disease, liver disease, malignancy, connective tissue disease, non-steroid anti-inflammatory drug use, and monthly income. The increased risk of ESRD was more prominent in the age subgroup of 15-25 years (AHR: 4.91; 95% CI: 1.92-12.56); 25-35 years (AHR: 2.42; 95% CI: 1.51-3.86); 35-45 years (AHR: 3.01; 95% CI: 2.21-4.09); and 45-55 years (AHR: 1.75; 95% CI: 1.41-2.19).

CONCLUSIONS

An HCE was associated with an increased risk of ESRD, especially in the younger diabetic patients (15-55 years). A close follow-up for the control of diabetes and for monitoring renal function is proposed.

Prevalence of and risk factors for diabetic ketosis in Chinese diabetic patients with random blood glucose levels >13.9 mmol/L: Results from the CHina study in prEvalence of diabetiC Ketosis (CHECK) study

BACKGROUND

The aim of the present study was to investigate the prevalence of diabetic ketosis (DK) and its risk factors in Chinese diabetes patients with severe hyperglycemia.

METHODS

The present multicenter cross-sectional study was performed on patients aged >16 years with diabetes mellitus (DM) and random blood glucose levels >13.9 mmol/L (>250 mg/dL). Blood ketones (β-hydroxybutyric acid) and urinary ketones (acetoacetic acid) were measured and information on patient demographic and clinical characteristics was collected.

RESULTS

Of 1235 patients enrolled in the study (93 with type 1 DM [T1DM]), 1142 with type 2 DM [T2DM]), 242 (19.6%) had DK (blood ketone levels ≥0.6 mmol/L). Proportionately, DK was more frequent and more severe in patients with T1DM than T2DM (55.9% vs 16.6%, respectively), but in absolute terms occurred in more patients with T2DM (52 vs 190). In patients with blood ketone levels ≥3 mmol/L, the cut-off point of blood glucose levels was 19.05 mmol/L. Risk factors significantly associated with higher blood ketone levels in T2DM included younger age, a shorter duration of diabetes, and not using antidiabetic medication within 12 months prior to the hyperglycemic episode.

CONCLUSIONS

The prevalence of DK is lower in patients with T2DM than T1DM, but the number of patients with DK is higher for those with T2DM because of more T2DM patients in China. Patients with T2DM who have a younger age, shorter duration of diabetes, and a lack of antidiabetic treatment will suffer from DK more often than older patients with longer T2DM duration and receiving antidiabetic treatment.

Diabetic ketosis during hyperglycemic crisis is associated with decreased all-cause mortality in patients with type 2 diabetes mellitus

Patients with type 2 diabetes mellitus have impaired ketogenesis due to high serum insulin and low growth hormone levels. Evidence exists that ketone bodies might improve kidney and cardiac function. In theory, improved ketogenesis in diabetics may have positive effects. We aimed to assess the impact of diabetic ketosis on all-cause mortality in patients with type 2 diabetes mellitus presenting with hyperglycemic crisis. We analyzed 486 patients with diabetic ketosis and 486 age and sex-matched patients with non-ketotic hyperglycemia presenting to the emergency department. Cox proportional hazard models were used to analyze the link between patient characteristics and mortality. During an observation time of 33.4 months, death of any cause occurred in 40.9 % of the non-ketotic hyperglycemia group and 30.2 % of the DK group (hazard ratio in the diabetic ketosis group, 0.63; 95 % confidence interval 0.48-0.82; P = 0.0005). Patients with diabetic ketosis had a lower incidence of symptomatic heart failure and had improved renal function. They used less furosemide and antihypertensive drugs, more metformin and lower insulin doses, all of which was independently associated with decreased mortality. Plasma glucose and glycated hemoglobin levels were similar in both groups. Patients with hyperglycemic crisis and diabetic ketosis have decreased all-cause mortality when compared to those with non-ketotic hyperglycemia. diabetic ketosis might be a compensatory mechanism rather than a complication in patients with hyperglycemic crises, but further prospective studies are warranted.

An Evaluation of Recurrent Diabetic Ketoacidosis, Fragmentation of Care, and Mortality Across Chicago, Illinois

OBJECTIVE

A portion of patients with diabetes are repeatedly hospitalized for diabetic ketoacidosis (DKA), termed recurrent DKA, which is associated with poorer clinical outcomes. This study evaluated recurrent DKA, fragmentation of care, and mortality throughout six institutions in the Chicago area.

RESEARCH DESIGN AND METHODS

A deidentified Health Insurance Portability and Accountability Act-compliant data set from six institutions (HealthLNK) was used to identify 3,615 patients with DKA (ICD-9 250.1x) from 2006 to 2012, representing 5,591 inpatient admissions for DKA. Demographic and clinical data were queried. Recurrence was defined as more than one DKA episode, and fragmentation of health care was defined as admission at more than one site.

RESULTS

Of the 3,615 patients, 780 (21.6%) had recurrent DKA. Patients with four or more DKAs (n = 211) represented 5.8% of the total DKA group but accounted for 26.3% (n = 1,470) of the encounters. Of the 780 recurrent patients, 125 (16%) were hospitalized at more than one hospital. These patients were more likely to recur (odds ratio [OR] 2.96; 95% CI 1.99, 4.39; P < 0.0001) and had an average of 1.88-times the encounters than nonfragmented patients. Although only 13.6% of patients died of any cause during the study period, odds of death increased with age (OR 1.06; 95% CI 1.05, 1.07; P < 0.001) and number of DKA encounters (OR 1.28; 95% CI 1.04, 1.58; P = 0.02) after adjustment for age, sex, insurance, race, fragmentation, and DKA visit count. This study was limited by lack of medical record-level data, including comorbidities without ICD-9 codes.

CONCLUSIONS

Recurrent DKA was common and associated with increased fragmentation of health care and increased mortality. Further research is needed on potential interventions in this unique population.

Association between hyperglycaemic crisis and long-term major adverse cardiovascular events: a nationwide population-based, propensity score-matched, cohort study

OBJECTIVE

Hyperglycaemic crisis was associated with significant intrahospital morbidity and mortality. However, the association between hyperglycaemic crisis and long-term cardiovascular outcomes remained unknown. This study aimed to investigate the association between hyperglycaemic crisis and subsequent long-term major adverse cardiovascular events (MACEs).

PARTICIPANTS AND METHODS

This population-based cohort study was conducted using data from Taiwan's National Health Insurance Research Database for the period of 1996-2012. A total of 2171 diabetic patients with hyperglycaemic crisis fit the inclusion criteria. Propensity score matching was used to match the baseline characteristics of the study cohort to construct a comparison cohort which comprised 8684 diabetic patients without hyperglycaemic crisis. The risk of long-term MACEs was compared between the two cohorts.

RESULTS

Six hundred and seventy-six MACEs occurred in the study cohort and the event rate was higher than that in the comparison cohort (31.1% vs 24.1%, p<0.001). Patients with hyperglycaemic crisis were associated with a higher risk of long-term MACEs even after adjusting for all baseline characteristics and medications (adjusted HR=1.76, 95% CI 1.62 to 1.92, p<0.001). Acute myocardial infarction had the highest adjusted HR (adjusted HR=2.19, 95% CI 1.75 to 2.75, p<0.001) in the four types of MACEs, followed by congestive heart failure (adjusted HR=1.97, 95% CI 1.70 to 2.28, p<0.001). Younger patients with hyperglycaemic crisis had a higher risk of MACEs than older patients (adjusted HR=2.69 for patients aged 20-39 years vs adjusted HR=1.58 for patients aged >65 years).

CONCLUSIONS

Hyperglycaemic crisis was significantly associated with long-term MACEs, especially in the young population. Further prospective longitudinal study should be conducted for validation.

Association between Serum Albumin Concentration and Ketosis Risk in Hospitalized Individuals with Type 2 Diabetes Mellitus

Objective. This study examined the association between serum albumin concentration and ketosis risk in hospitalized individuals with type 2 diabetes mellitus (T2DM). Methods. A retrospective cross-sectional study was conducted at a medical center in Taiwan. Inclusion criteria were endocrinology ward inpatients exceeding 21 years of age, with preexisting diagnosis of T2DM, and blood glucose above 13.9 millimoles per liter (mmol/L) at admission. Individuals without measurement of serum albumin, urine ketone, or hemoglobin A1C, or harboring active infection, myocardial infarction, cerebrovascular event, cirrhosis, malignancy, or overt proteinuria were excluded. Using serum albumin concentration below 3.0 grams per deciliter to define hypoalbuminemia, 151 hypoalbuminemic cases and 104 normoalbuminemic controls were enrolled. The presence of ketones in urine established ketosis. Results. The prevalence of ketonuria was 48% in hypoalbuminemic subjects compared to 30% in normoalbuminemic controls (odds ratio (OR): 2.15; 95% confidence interval (CI): 1.26-3.57; P = 0.004). Moreover, among the 156 subjects with serum beta-hydroxybutyrate measurement in addition to urine ketone, 33% of the hypoalbuminemic individuals had ketonemia exceeding 3 mmol/L compared to 19% of those with normoalbuminemia (OR: 2.12, 95% CI: 0.99-4.48, P = 0.051). Conclusions. Serum albumin concentration is inversely associated with ketosis risk in hospitalized individuals with T2DM.