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

The Effect of Diabetic Ketoacidosis and Hyperosmolar Hyperglycemic on the Metabolic Tumor Markers: A Real-World Retrospective Study

Objective

Serum tumor markers have been discovered to be elevated in individuals with diabetes mellitus (DM); however, their significance in diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemia (HHS) is unknown. We evaluated these indicators in the patients with DKA and HHS.

Materials and Methods

We retrospectively collected the laboratory data of 565 diabetic patients from Shanghai Pudong Hospital between Jan, 2019 and May, 2023, including 300 patients with type 2 diabetes mellitus (T2DM), 206 with DKA, and 59 with HHS. Serum tumor biomarkers and further clinical laboratory tests were compared among the three groups. Patients with conspicuous tumor evidence were excluded from the study.

Results

We found significantly higher levels of carbohydrate antigen 199 (CA199) in DKA (p<0.01), carcinoembryonic antigen (CEA), complex prostate specific antigen (CPSA) (p<0.01), prostate specific antigen (PSA) (p<0.05) in HHS, as well as the plasma lipid profile, iron, and electrolytes, in addition to decreased thyroid function, hepatic and renal function, and cardiac function (p<0.05). A Spearman correlational study revealed that osmolar levels were significantly positively correlated with myoglobin (MYO) and cardiac troponin I (cTNI), whereas serum iron concentration (r=0.520) was positively correlated with CEA levels in HHS. pH was negatively correlated with CA199 (r=-0.195), while HbA1c (r=0.22), globin (r=0.341), and total cholesterol (TC) (r=0.191) were positively correlated with elevated CA199 levels. Moreover, the multilinear regression investigation identified osmolarity as a significant determinant for CEA, as well as other parameters, and all proved to be proper predictors for CEA in HHS via ROC curve establishment.

Conclusion

Elevated CA199 levels in DKA were associated with acidosis, whereas HHS with elevated CEA levels may be related to iron homeostasis and could be predicted via the osmolar degree and other predictors.

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.

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.

Management of diabetic ketoacidosis

Diabetic ketoacidosis (DKA) is an acute life-threatening emergency in patients with diabetes, it can result in serious morbidity and mortality. Management of DKA requires reversing metabolic derangements, correcting volume depletion, electrolyte imbalances and acidosis while concurrently treating the precipitating illness. There are still controversies regarding certain aspects of DKA management. Different society guidelines have inconsistencies in their recommendations, while some aspects of treatment are not precise enough or have not been thoroughly studied. These controversies may include issues such as optimal fluid resuscitation, rate and type of Insulin therapy, potassium and bicarbonate replacement. Many institutions follow common society guidelines, however, other institutions either develop their own protocols for internal use or do not routinely use any protocols, resulting in inconsistencies in treatment and increased risk of complications and suboptimal outcomes. The objectives of this article are to review knowledge gaps and controversies in the treatment of DKA and provide our perspective on these issues. Moreover, we believe that special patient factors and comorbidities should receive more careful attention and consideration. Factors like pregnancy, renal disease, congestive heart failure, acute coronary syndrome, older age, use of sodium-glucose cotransporter-2 (SGLT2) inhibitors and site of care all impact the treatment approach and require tailored management strategies. However, guidelines often lack sufficient recommendations regarding specific conditions and comorbidities, we aim to address unique circumstances and provide an approach to managing complex patients with specific conditions and co-morbidities. We also sought to examine changes and trends in the treatment of DKA, illuminate on aspects of latest research with a perspective towards future developments and modifications.

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.

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.

Hyperglycemic Crisis Characteristics and Outcome of Care in Adult Patients without and with a History of Diabetes in Tigrai, Ethiopia: Comparative Study

OBJECTIVE

To compare hyperglycemic crisis characteristics and outcomes of care in adult patients without and with a history of diabetes in Tigrai, Ethiopia.

METHODS

A retrospective record review of diabetes patients, 196 without and 393 with a history of diabetes who had been treated in the medical wards from September 1/2017 to August 31/2018, aged 18 years and above was included. An independent-samples t-test/Mann-Whitney tests, χ²-test, and logistic regression analysis were used to analyze the data using SPSS version 25.0.

RESULTS

Patients without history of diabetes were younger [43.9±12.6 vs 48.4±14.9], more rural residents [53.1% vs 30.3%], lower proportion of type 2 diabetes [38.3% vs 53.7%], hyperosmolar hyperglycemic state [15.8% vs 31.8%], with lower mortality rate [8.7% vs 15.5%] compared to with a history of diabetes. A higher mortality reported in rural residents [13.5% vs 3.3%; without vs 21.8% vs 12.8%; with history], and lower urine ketones [1.9± 1.3 vs 2.8± 1.1; without vs 1.6± 1.2 vs 2.2± 1.0; with a history] compared to their counterparts in both patients, respectively. Rural residents [AOR (95% CI); 3.1 (1.8, 5.4)]; medical history of stroke [AOR (95% CI); 2.7 (1.3, 5.6)]; type 2 diabetes [AOR (95% CI); 2.3 (1.1, 4.7)], hyperglycemic hyperosmolar state [AOR (95% CI); 2.4 (1.1, 5.4)]; and with a history of diabetes [AOR (95% CI); 2.0 (1.04, 3.8)] were significantly associated with mortality, but polydipsia [AOR (95% CI); 0.47 (0.27, 0.81)] was preventive.

CONCLUSION

This finding suggests that rural residents, medical history of stroke, type 2 diabetes, hyperglycemic hyperosmolar state, and with a history of diabetes were independent predictors of mortality while polydipsia was preventive. Therefore, the need for more public health awareness campaigns, screening for people having known risk factors, and expansion of diabetes care services to the primary health care units is a fundamental measure.

Challenges in the diagnosis of diabetes type in pediatrics

The incidence of diabetes, both type 1 and type 2, is increasing. Health outcomes in pediatric diabetes are currently poor, with trends indicating that they are worsening. Minority racial/ethnic groups are disproportionately affected by suboptimal glucose control and have a higher risk of acute and chronic complications of diabetes. Correct clinical management starts with timely and accurate classification of diabetes, but in children this is becoming increasingly challenging due to high prevalence of obesity and shifting demographic composition. The growing obesity epidemic complicates classification by obesity's effects on diabetes. Since the prevalence and clinical characteristics of diabetes vary among racial/ethnic groups, migration between countries leads to changes in the distribution of diabetes types in a certain geographical area, challenging the clinician's ability to classify diabetes. These challenges must be addressed to correctly classify diabetes and establish an appropriate treatment strategy early in the course of disease for all. This may be the first step in improving diabetes outcomes across racial/ethnic groups. This review will discuss the pitfalls in the current diabetes classification scheme that is leading to increasing overlap between diabetes types and heterogeneity within each type. It will also present proposed alternative classification schemes and approaches to understanding diabetes type that may improve the timely and accurate classification of pediatric diabetes type.

Incidence and Outcomes of Non-ST Elevation Myocardial Infarction in Patients Hospitalized with Decompensated Diabetes

Single center studies suggested that non-ST elevation myocardial infarction (NSTEMI) in patients admitted with acute decompensated diabetes is associated with poor long-term prognosis. We hypothesize that acute decompensated diabetes is also associated with worse early morbidity and mortality in patients admitted with NSTEMI. Adult patients with a primary discharge diagnosis of diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic state (HHS) were identified in the national inpatient sample. We then assessed contemporary trends in the incidence and management patents of NSTEMI in patients admitted with DKA/HHS and compared in-hospital morbidity and mortality, resource utilization, and cost between DKA/HHS patients with and without NSTEMI. In 431,037 patients admitted with decompensated diabetes from 2003 to 2014, 13,069 (3.03%) suffered a NSTEMI during their hospitalization. Patients with NSTEMI were older and had higher prevalence of atherosclerotic and nonatherosclerotic comorbidities. After propensity score matching, NSTEMI was associated with a 60% increase in in-hospitalmortality (9.1% vs 5.5%; p < 0.001), higher incidences of stroke, acute kidney injury, blood transfusion, longer hospitalizations, and higher costs. A minority (35%) ofNSTEMI patients underwent invasive coronary assessment, and those had lower in-hospitalmortality compared with NSTEMI patients who did not undergo invasive assessment(3.3% vs 12.2%, adjusted OR 0.30, 95%CI 0.24 to 0.36, p < 0.001). About 3% of patients admitted with decompensated diabetes suffer a NSTEMI and those experience higher in-hospital morbidity and mortality, longer hospitalization, and higher cost.