Inpatients have a high rate of diabetes (12%-26%) and hyperglycemia (~38%). All patients should have their glycosylated hemoglobin (A1C) checked on admission to help differentiate between long-term and new-onset hyperglycemia. Good glycemic control throughout the hospital stay is associated with decreases in short- and long-term risk of mortality, inpatient complications, length of hospital stay, and health care costs. Insulin is first-line therapy for hyperglycemia; patients with hyperglycemia should be managed using either intravenous (IV) or subcutaneous (SC) insulin algorithms. A hypoglycemia management protocol should be in place at the hospital for safety purposes. For successful glycemic control, insulin algorithms should have dynamic scales, require frequent glucose monitoring, and be simple and easy to use. The algorithm should address transitioning patients from IV to SC insulin and a discharge plan. Insulin analogues are preferred for basal, mealtime, and correction doses instead of human insulins (regular and NPH) because analogues have a more predictable absorption and action profile and less pharmacokinetic fluctuation. Institutions can increase safe insulin use by utilizing insulin algorithms, preprinted order sets, and hypoglycemia protocols; by supporting patient and health care provider education; and by implementing needle-stick prevention techniques.
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http://dx.doi.org/10.3810/hp.2009.12.254 | DOI Listing |
Rev Invest Clin
January 2025
Department of Molecular Immunobiology, Centro de Investigación Biomédica, Torreón, Coah., Mexico.
Background: The effective use of combination antiretroviral therapy (ART) has significantly improved the life expectancy of people living with the human immunodeficiency virus (HIV). However, complications have shifted from opportunistic infections to issues such as drug toxicity and resistance, as well as an increase in premature cardiovascular diseases (CVD). These conditions are attributed to chronic immune activation and persistent inflammation caused by HIV, along with lipid abnormalities and insulin resistance.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Cardiovasc Diabetol
January 2025
Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: Insulin resistance proxy indicators are significantly associated with cardiovascular disease (CVD) and diabetes. However, the correlations between the estimated glucose disposal rate (eGDR) index and CVD and its subtypes have yet to be thoroughly researched.
Methods: 10,690 respondents with diabetes and prediabetes from the NHANES 1999-2016 were enrolled in the study.
J Cell Mol Med
January 2025
Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and varies in response to treatment, making it one of the main causes of cancer-related mortality globally. Recent data point to a significant role for metabolic reprogramming, namely dysregulated lactic acid metabolism, in the evolution of STAD and treatment resistance. This study used a series of artificial intelligence-related approaches to identify IGFBP7, a Schlafen family member, as a critical factor in determining the response to immunotherapy and lactic acid metabolism in STAD patients.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Department of Health Science and Technology, Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, Denmark; Data Science, Novo Nordisk A/S, Søborg, Denmark. Electronic address:
Background And Aim: The progressive nature of type 2 diabetes often, in time, necessitates basal insulin therapy to achieve glycemic targets. However, despite standardized titration algorithms, many people remain poorly controlled after initiating insulin therapy, leading to suboptimal glycemic control and complications. Both healthcare professionals and people with type 2 diabetes have expressed the need for novel tools to aid in this process.
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