Association of albumin and cholesterol levels with incidence of hypoglycaemia in people admitted to general internal medicine units.
Diabet Med. 2018 Aug 08;:
Authors: Leibovitz E, Wainstein J, Boaz M
AIM: To study the association between serum albumin and cholesterol levels at hospital admission and incident hypoglycaemia among people admitted to internal medicine units.
METHODS: In this cross-sectional analysis, we examined the electronic medical records of people hospitalized in internal medicine departments. Data extracted included all glucose measurements as well as serum albumin and cholesterol, which were measured upon admission. A hypoglycaemia event was recorded for a given person if at least one glucose measurement of ≤ 3.9 mmol/l was recorded during the hospital stay. Regression analysis was used to determine which clinical measures predict hypoglycaemia.
RESULTS: During the acquisition period, 45 224 people (mean age 68.9 ± 17.8 years, 49.4% male, 21% diabetes mellitus) were discharged from internal medicine units. Hypoglycaemia was documented in 7.5% of these individuals (15.4% of people with diabetes vs. 5.5% of those without; P < 0.001). Logistic regression showed that both serum albumin [odds ratio (OR) 0.908, 95% confidence interval (CI) 0.896-0.919; P < 0.001) and cholesterol (OR 0.938, 95% CI 0.896-0.981; P = 0.005] were significantly associated with incident hypoglycaemia. Results remained significant even after controlling for age, sex, average glucose during hospitalization, length of hospital stay, acute infection upon admission, diabetes status, haemoglobin, white blood cell count and C-reactive levels. A combination of hypoalbuminaemia (< 35 g/l) and hypocholesterolaemia (< 3.37 mmol/l) upon admission greatly increased the risk of incident hypoglycaemia (OR 2.544, 95% CI 2.096-3.088; P < 0.001).
CONCLUSION: Hypoalbuminaemia and hypocholesterolaemia predict incident hypoglycaemia in the hospital setting among people with and without diabetes mellitus. This article is protected by copyright. All rights reserved.
PMID: 30091149 [PubMed - as supplied by publisher]