Background: Intensive care unit (ICU) patients experience hypoglycemia at nearly 4 times the rate seen in non-ICU counterparts. Although inpatient hypoglycemia management relies on nurse-driven protocols, protocol adherence varies between institutions and units.
Objective: To compare hypoglycemia management between ICU and non-ICU patients in an institution with high adherence to a hypoglycemia protocol.
Methods: This secondary analysis used retrospective medical record data. Cases were ICU patients aged 18 years or older with at least 1 hypoglycemic event (blood glucose level < 70 mg/dL); non-ICU controls were matched by age within 10 years, sex, and comorbidities. Time from initial hypoglycemic blood glucose level to subsequent blood glucose recheck, number of interventions, time to normoglycemia, and number of spontaneous hypoglycemic events were compared between groups.
Results: The sample included 140 ICU patients and 280 non-ICU controls. Median time to blood glucose recheck did not differ significantly between groups (19 minutes for both groups). Difference in mean number of interventions before normoglycemia was statistically but not clinically significant (ICU, 1.12; non-ICU, 1.35; P < .001). Eighty-four percent of ICU patients and 86% of non-ICU patients returned to normoglycemia within 1 hour. Median time to normoglycemia was lower in ICU patients than non-ICU patients (21.5 vs 26 minutes; P = .01). About 25% of patients in both groups experienced a spontaneous hypoglycemic event.
Conclusion: Adherence to nurse-driven hypoglycemia protocols can be equally effective in ICU and non-ICU patients. Further research is needed to determine protocol adherence barriers and patient characteristics that influence response to hypoglycemia interventions.
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http://dx.doi.org/10.4037/ajcc2024320 | DOI Listing |
Crit Care
January 2025
División de Terapia Intensiva, Hospital Juan A. Fernández, Buenos Aires, Argentina.
The advancements in cardiovascular imaging over the past two decades have been significant. The miniaturization of ultrasound devices has greatly contributed to their widespread adoption in operating rooms and intensive care units. The integration of AI-enabled tools has further transformed the field by simplifying echocardiographic evaluations and enhancing the reproducibility of hemodynamic measurements, even for less experienced operators.
View Article and Find Full Text PDFCrit Care
January 2025
HCor Research Institute, Hospital do Coração, Rua Desembargador Eliseu Guilherme 200, 8th Floor, São Paulo, SP, 04004-030, Brazil.
Background: Limited data is available to evaluate the burden of device associated healthcare infections (HAI) [central line associated bloodstream infection (CLABSI), catheter associated urinary tract infection (CAUTI), and ventilator associated pneumonia (VAP)] in low and-middle-income countries. Our aim is to investigate the population attributable mortality fraction and the absolute mortality difference of HAI in a broad population of critically ill patients from Brazil.
Methods: Multicenter cohort study from September 2019 to December 2023 with prospective individual patient data collection.
Eur J Med Res
January 2025
Department of Ultrasonography, The First Hospital of PuTian City, Nanmen West Road, Chengxiang District, Putian, People's Republic of China.
Background: In the intensive care unit (ICU), the incidence of iron-deficiency anemia (IDA) is relatively high and is associated with various adverse clinical outcomes. Therefore, it is crucial to identify simple and practical indicators to assess the mortality risk in ICU patients with IDA. This study aims to investigate the relationship between the Neutrophil Percentage-to-Albumin Ratio (NPAR) levels in patients with IDA in the ICU and their all-cause mortality at 30 and 365 days.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of General Medicine, Shaoxing Central Hospital, Shaoxing, Zhejiang, 312030, China.
This study explores the association between serum chloride concentrations and all-cause mortality among patients in the Surgical Intensive Care Unit (SICU). Employing a retrospective cohort design, the study utilized data extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, specifically focusing on individuals admitted to the surgical/trauma ICUs. This dataset encompassed demographic profiles, laboratory findings, historical medical data, vital statistics, and variables pertinent to prognosis.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Intensive Care Unit, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Background: Risk factors for bloodstream infection in patients with COVID-19 in the intensive care unit (ICU) remain unclear. The purpose of this systematic review was to study the risk factors for BSI in patients admitted to ICUs for COVID-19.
Methods: A systematic search was performed on PubMed, EMBASE, Cochrane Library, and Web of Science up to July 2024.
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