Hypoglycemia, Malnutrition and Body Composition

A prediction model for assessing hypoglycemia risk in critically ill patients with sepsis

BACKGROUND

Few studies have reported the risk factors or developed a risk predictive model of hypoglycemia patients with sepsis.

OBJECTIVE

To develop a predictive model to assess the hypoglycemia risk in critically ill patients with sepsis.

METHODS

For this retrospective study, we collected the data from the Medical Information Mart for Intensive Care III and IV (MIMIC-III and MIMIC-IV). All eligible patients from the MIMIC-III were randomly divided into the training set for development of predictive model and testing set for internal validation of the predictive model at a ratio of 8:2. Patients from the MIMIC-IV database were used as the external validation set. The primary endpoint was the occurrence of hypoglycemia. Univariate and multivariate logistic model was used to screen predictors. Adopted receiver operating characteristics (ROC) and calibration curves to estimate the performance of the nomogram.

RESULTS

The median follow-up time was 5.13 (2.61-9.79) days. Diabetes, dyslipidemia, mean arterial pressure, anion gap, hematocrit, albumin, sequential organ failure assessment, vasopressors, mechanical ventilation and insulin were identified as the predictors for hypoglycemia risk in critically ill patients with sepsis. We constructed a nomogram for predicting hypoglycemia risk in critically ill patients with sepsis based on these predictors. An online individualized predictive tool: https://ghongyang.shinyapps.io/DynNomapp/. The established nomogram had a good predictive ability by ROC and calibration curves in the training set, testing set and external validation cohort.

CONCLUSION

A predictive model of hypoglycemia risk was constructed, with a good ability in predicting the risk of hypoglycemia in critically ill patients with sepsis.

Sugar Swing After Surgery: Hyperinsulinemic Hypoglycemia With Possible Nesidioblastosis After Roux-en-Y Gastric Bypass Surgery

Bariatric surgery is a procedure performed to achieve weight loss and manage obesity. However, it can result in various complications including post-surgical hypoglycemia. Nesidioblastosis is a rare hypoglycemic syndrome marked by diffuse hyperplasia of pancreatic β cells with distinct histologic features. Recent case reports have indicated an association of nesidioblastosis with certain bariatric procedures, often specifically linked to Roux-en-Y gastric bypass (RYGB) surgery. In this case report, we describe a 78-year-old male with a complex medical history who presented with altered mental status and severe hypoglycemia (13 mg/dL), despite having no history of diabetes or use of hypoglycemic medications. The patient's clinical condition improved after receiving a 50% intravenous dextrose injection and subsequently placed on a 10% dextrose infusion. Adrenal insufficiency was ruled out with normal cortisol level, and tests for β-hydroxybutyrate, dehydroepiandrosterone (DHEA) sulfate, and hypoglycemia panels were all negative. However, further investigations were significant for elevated serum insulin, C-peptide, and proinsulin levels. The patient then underwent an abdominal computed tomography (CT) scan, which revealed a grossly normal liver, spleen, pancreas, and adrenal glands, along with evidence of prior gastric bypass surgery. Further evaluation confirmed a history of Roux-en-Y gastric bypass surgery, which was performed to address morbid obesity and obstructive sleep apnea. Following the procedure, the patient began experiencing hypoglycemic episodes. Subsequently, the patient was diagnosed with hyperinsulinemic hypoglycemia with possible nesidioblastosis. This diagnosis was made based on severe recurrent postprandial hypoglycemia, accompanied by elevated endogenous insulin production, and a pancreas that appeared grossly normal on imaging. The patient was treated with acarbose to prevent carbohydrate-driven blood sugar and insulin spikes, octreotide to inhibit insulin secretion, and dietary guidance to avoid high glycemic index foods. This case emphasizes the potential link between bariatric surgeries and metabolic disturbances, underscoring the importance of identifying uncommon hypoglycemic syndromes.

Low Blood Glucose Index Associated with Cardiovascular Events in Diabetic Hemodialysis Patients

INTRODUCTION

Blood glucose monitoring was vitally important in diabetic kidney disease (DKD) patients for preventing complications and improving survival rates. The associations between glycemic variability and blood biochemical indicators were underestimated in patients with DKD undergoing hemodialysis. Therefore, we primarily aimed to investigate the glycemic variability and 1-year risk of cardiovascular disease events in diabetic hemodialysis patients. And we secondarily aimed to explore the association between glycemic variability and blood biochemical indicators.

METHODS

In total, 27 patients were included in the final analysis. Continuous glucose monitoring (CGM) was used to evaluate glucose variability for 14 days. Patients were divided into two groups by the cutoff level of time in range (TIR; >70% or ≤70%). The three-point major adverse cardiovascular event (3P MACE) was recorded within 1 year.

RESULTS

After 1 year of follow-up, 4 patients in the high-TIR group and 3 patients in the low-TIR group had 3p MACE. Higher low blood glucose index (LBGI) level in diabetic hemodialysis patients increased the risk of 3p MACE outcomes (HR = 2.37, p = 0.018). And the level of albumin was positively associated with LBGI (β = 0.51, p = 0.036). The plasma levels of albumin, glycosylated hemoglobin, and hemoglobin were positively associated with other CGM parameters.

CONCLUSION

LBGI during 14 days was positively associated with the risk of cardiovascular events in diabetic hemodialysis patients.

Clinical outcomes of immune checkpoint inhibitor diabetes mellitus at a comprehensive cancer center

Introduction: Immune checkpoint inhibitor-associated diabetes mellitus (ICI-DM) is a rare adverse event. In this study, we characterize clinical outcomes of patients with ICI-DM and evaluate survival impact of this complication on melanoma patients. Research design & methods: We conducted a retrospective review of 76 patients diagnosed with ICI-DM from April 2014 to December 2020. Results: 68% of patients presented in diabetic ketoacidosis, 16% had readmissions for hyperglycemia, and hypoglycemia occurred in 70% of patients after diagnosis. Development of ICI-DM did not impact overall survival or progression-free survival in melanoma patients. Conclusion: Development of ICI-DM is associated with long-term insulin dependence and pancreatic atrophy; the use of diabetes technology in this patient population can help improve glycemic control.

Association between estimated GFR and incident hypoglycaemia during hospitalization

BACKGROUND

Kidney function is a significant factor associated with increased incidence of hypoglycaemia, especially among patients with diabetes mellitus (DM). We here quantified the association between elevated creatinine and incident hypoglycaemia among patients admitted to internal medicine departments, with and without DM.

METHODS

This is a retrospective cohort analysis study. Included were all patients discharged from internal medicine units between 2010 and 2013. Patients were excluded if creatinine levels rose or dropped more than 0.3 mg/dL during hospitalization. The CKD-EPI equation was used to calculate glomerular filtration rate (eGFR). Logistic regression analysis (backward LR method) was used to study the association between eGFR and hypoglycaemia incidence.

RESULTS

Included were 39 316 patients (mean age 68.0 ± 18.0 years, 49.3% males, 25.9% with DM, eGFR 69.5 ± 24.9 mL/min/1.73 m² ). Among study participants, 6.5% had at least one hypoglycaemic event. Logistic regression modelling showed that eGFR was inversely associated with incident hypoglycaemia (OR 0.988, 95% CI 0.986-0.990, p < .001). Results were similar for patients with and without DM. Estimated GFR was negatively correlated with admission CRP levels for patients with (r = -.143, p < .001) and without DM (r = -.166, p < .001). Estimated GFR was also positively correlated with admission serum albumin levels for both patients with (r = .304, p < .001) and without DM (r = .354, p < .001).

CONCLUSION

Among non-critically-ill patients hospitalized in internal medicine departments, reduced eGFR is associated with increased risk of hypoglycaemia. Glucose monitoring for all inpatients with CKD is suggested, regardless of DM status.

Malnutrition is independently associated with an increased risk of major cardiovascular events in adult patients with congenital heart disease

BACKGROUND AND AIMS

Malnutrition is found frequently during chronic diseases, and its prevalence and relation to disease outcome in adult patients with congenital heart disease (CHD) remains unknown.

METHODS AND RESULTS

A cohort of 393 consecutive stable congenital heart disease (CHD) patients was followed up in a single dedicated clinical unit. Demographic, clinical and laboratory parameters, along with a nutritional risk index (NRI), were studied, as well as major acute cardiovascular events (MACE), defined as arterial thrombotic events, heart failure requiring hospitalization or cardiovascular and non-cardiovascular mortality. The median age of the patients was 23 years (17-35) and 225 (57%) were males. Median plasma albumin concentration was 4.5 (4.2-4.7) g/dL, the body mass index was 23 (21-27) kg/m², the NRI was 112 (106-118), and 33 (8%) patients showed malnutrition (NIR<100). A worse NYHA functional class (II and III), total cholesterol and serum glucose levels were significant risk factors associated with malnutrition (NRI<100) in CHD patients. During a median follow-up of 8 (5-10) years, 39 (10%) CHD patients suffered a MACE. Multivariable Cox regression analysis showed that older patients (years) [HR 1.06 (1.04-1.09), p < 0.001], CHD patients with great anatomical complexity [HR 4.24 (2.17-8.27), p < 0.001] and those with a lower NRI [HR 0.95 (0.93-0.98), p = 0.001] had a significant worse MACE-free survival, being the NRI a better predictor of MACE than albumin concentration.

CONCLUSIONS

A low NRI is independently associated with a significant increased risk of MACE in CHD patients.