Objective: Alteration in thyroid hormones are seen in critically ill patients admitted to intensive care units. Our objective was to study the thyroid hormone profile, prolactin and, glycosylated hemoglobin (HbA1c) at admission and analyze their correlation with mortality.
Materials And Methods: In this single centre, prospective, observational study, 100 consecutive patients (52M; 48F) admitted to medical ICU irrespective of diagnosis were included. Patients with previous thyroid disorders and drugs affecting thyroid function were excluded. All participants underwent complete physical examination and a single fasting blood sample obtained at admission was analyzed for total triiodothyronine (T3), total thyroxine (T4), thyroid stimulating hormone (TSH), HbA1c, and prolactin. The patients were divided into two groups: Group 1 - survivors (discharged from the hospital) and Group 2 - nonsurvivors (patients succumbed to their illness inside the hospital). The data were analyzed by appropriate statistical methods and a P-value of <0.05 was considered significant.
Results: The mean age of the participants was 58.7 ± 16.9 years and the mean duration of ICU stay was 3.3 ± 3.1 days. A total of 64 patients survived, whereas remaining 36 succumbed to their illness. The baseline demographic profile was comparable between survivors and nonsurvivors. Nonsurvivors had low T3 when compared with survivors (49.1 ± 32.7 vs. 66.2 ± 30.1, P = 0.0044). There was no significant difference observed between survivors and nonsurvivors with respect to T4, TSH, HbA1c, and prolactin.
Conclusion: Our study showed that low T3 is an important marker of mortality in critically ill patients. Admission HbA1c, prolactin, T4, and TSH did not vary between survivors and nonsurvivors.
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http://dx.doi.org/10.4103/2230-8210.109715 | DOI Listing |
BMJ Open
January 2025
Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Introduction: The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy-most notably Procalcitonin (PCT) and C-reactive protein (CRP)-show promise in safely reducing patient antibiotic exposure. While CRP is less studied, it offers advantages such as lower cost and broader availability compared with PCT.
View Article and Find Full Text PDFBMJ
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Medicine; and Department of Physical Medicine and Rehabilitation. Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Approximately half of critically ill adults experience intensive care unit acquired weakness (ICUAW). Patients who develop ICUAW may have negative outcomes, including longer duration of mechanical ventilation, greater length of stay, and worse mobility, physical functioning, quality of life, and mortality. Early physical rehabilitation interventions have potential for improving ICUAW; however, randomized trials show inconsistent findings on the efficacy of these interventions.
View Article and Find Full Text PDFDiabetes Res Clin Pract
January 2025
Department of Cardiovascular Medicine, The 2(nd) Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, China; Molecular Medicine of Jiangxi Key Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, 330006, China. Electronic address:
Objective: High glycemic variability (GV) often indicates a poor prognosis. Our aim is to investigate the relationship between GV and short and long-term mortality in critically ill heart failure (HF) patients.
Methods: We extracted data from the Medical Information Mart for Intensive Care IV database.
J Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
View Article and Find Full Text PDFVet Immunol Immunopathol
January 2025
Department of Infectious Disease, College of Veterinary Medicine, Seoul National University, Seoul, Korea; Research Institute for Veterinary Science and BK21, Seoul National University, Seoul, Korea. Electronic address:
Background: Bordetella bronchiseptica is a primary pathogen in canine infectious respiratory disease (CIRD), or kennel cough, capable of independently causing respiratory illness and contributing significantly to co-infections with other viral and bacterial agents. Despite its critical role in disease transmission and persistence, the epidemiology of B. bronchiseptica in CIRD remains poorly understood.
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