Hypoglycemia symptoms are reduced in hospitalized patients with diabetes

Predicting hypoglycemia in elderly inpatients with type 2 diabetes: the ADOCHBIU model

Background

Hypoglycemic episodes cause varying degrees of damage in the functional system of elderly inpatients with type 2 diabetes mellitus (T2DM). The purpose of the study is to construct a nomogram prediction model for the risk of hypoglycemia in elderly inpatients with T2DM and to evaluate the predictive performance of the model.

Methods

From August 2022 to April 2023, 546 elderly inpatients with T2DM were recruited in seven tertiary-level general hospitals in Beijing and Inner Mongolia province, China. Medical history and clinical data of the inpatients were collected with a self-designed questionnaire, with follow up on the occurrence of hypoglycemia within one week. Factors related to the occurrence of hypoglycemia were screened using regularized logistic analysis(r-LR), and a nomogram prediction visual model of hypoglycemia was constructed. AUROC, Hosmer-Lemeshow, and DCA were used to analyze the prediction performance of the model.

Results

The incidence of hypoglycemia of elderly inpatients with T2DM was 41.21% (225/546). The risk prediction model included 8 predictors as follows(named ADOCHBIU): duration of diabetes (OR=2.276, 95%CI 2.097˜2.469), urinary microalbumin(OR=0.864, 95%CI 0.798˜0.935), oral hypoglycemic agents (OR=1.345, 95%CI 1.243˜1.452), cognitive impairment (OR=1.226, 95%CI 1.178˜1.276), insulin usage (OR=1.002, 95%CI 0.948˜1.060), hypertension (OR=1.113, 95%CI 1.103˜1.124), blood glucose monitoring (OR=1.909, 95%CI 1.791˜2.036), and abdominal circumference (OR=2.998, 95%CI 2.972˜3.024). The AUROC of the prediction model was 0.871, with sensitivity of 0.889 and specificity of 0.737, which indicated that the nomogram model has good discrimination. The Hosmer-Lemeshow was χ 2 = 2.147 (P=0.75), which meant that the prediction model is well calibrated. DCA curve is consistently higher than all the positive line and all the negative line, which indicated that the nomogram prediction model has good clinical utility.

Conclusions

The nomogram hypoglycemia prediction model constructed in this study had good prediction effect. It is used for early detection of high-risk individuals with hypoglycemia in elderly inpatients with T2DM, so as to take targeted measures to prevent hypoglycemia.

Trial registration

ChiCTR2200062277. Registered on 31 July 2022.

Artifactual hypoglycaemia may be common in patients with soft tissue sarcoma who received pegfilgrastim-supported chemotherapy

BACKGROUND

Recently, we identified artifactual hypoglycemia in patients with soft tissue sarcoma (STS) who received pegfilgrastim-supported chemotherapy. In the present study, we measured white blood cell count and fasting blood glucose levels after the administration of pegfilgrastim in patients with STS and showed the relationship between artifactual hypoglycemia and white blood cell count.

PATIENTS

A total of 19 patients were included in this study. The mean age of the patients was 54 years. They received chemotherapy and administration of pegfilgrastim. Pegfilgrastim was injected subcutaneously 48 h after chemotherapy. No patient had a history of diabetes mellitus.

RESULTS

Fifty-nine cycles were administered to 19 patients. One hundred and twenty-eight samples were obtained within one week after the of pegfilgrastim administration. Hypoglycemia was observed in 38 of the 13 patients. There were no symptoms of hypoglycemia in any patient. The white blood cell count in samples from patients with hypoglycemia was significantly higher than that in samples without hypoglycemia (p < 0.001). The median white blood cell count in samples with hypoglycemia was 29,415 and 3420 in samples without hypoglycemia. Age, sex, body mass index, performance status, and red blood cell count were not associated with hypoglycemia. White blood cell count was strongly negatively correlated with fasting blood glucose levels (Pearson's r: 0.786, 95% confidence interval: 0.844-0.709, p < 0.001). Of the 38 samples with hypoglycemia, 32 were measured within 2 days after pegfilgrastim administration.

CONCLUSION

If a lack of symptoms due to hypoglycemia and leukocytes is confirmed, physicians should wait and identify the normalization of the level of glucose according to the neutrophil nadir following temporal leukocytes, which prevents further invasive examination for hypoglycemia.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.