Background: Literature on diabetes insipidus (DI) after severe traumatic brain injury (TBI) is scarce. Some studies have reported varying frequencies of DI and have showed its association with increased mortality, suggesting it as a marker of poor outcome. This knowledge gap in the acute care consequences of DI in severe TBI patients led us to conceive this study, aimed at identifying risk factors and quantifying the effect of DI on short-term functional outcomes and mortality.
Methods: We assembled a historic cohort of adult patients with severe TBI (Glasgow Coma Scale ≤ 8) admitted to the intensive care unit (ICU) of a tertiary-care university hospital over a 6-year period. Basic demographic characteristics, clinical information, imaging findings, and laboratory results were collected. We used logistic regression models to assess potential risk factors for the development of DI, and the association of this condition with death and unfavorable functional outcomes [modified Rankin scale (mRS)] at hospital discharge.
Results: A total of 317 patients were included in the study. The frequency of DI was 14.82%, and it presented at a median of 2 days (IQR 1-3) after ICU admission. Severity according to the Abbreviated Injury Scale (AIS) score of the head, intracerebral hemorrhage, subdural hematoma, and skull base fracture was suggested as risk factors for DI. Diagnosis of DI was independently associated death (OR 4.34, CI 95% 1.92-10.11, p = 0.0005) and unfavorable outcome (modified Rankin Scale = 4-6) at discharge (OR 7.38; CI 95% 2.15-37.21, p = 0.0047).
Conclusions: Diabetes insipidus is a frequent and early complication in patients with severe TBI in the ICU and is strongly associated with increased mortality and poor short-term outcomes. We provide clinically useful risk factors that will help detect DI early to improve prognosis and therapy of patients with severe TBI.
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http://dx.doi.org/10.1007/s12028-020-00955-x | DOI Listing |
Intern Emerg Med
December 2024
Department of Respiratory Medicine and Allergology, University Hospital, Goethe University, Frankfurt, Germany.
The aim was to identify predictors for early identification of HFNC failure risk in patients with severe community-acquired (CAP) pneumonia or COVID-19. Data from adult critically ill patients admitted with CAP or COVID-19 and the need for ventilatory support were retrospectively analysed. HFNC failure was defined as the need for invasive ventilation or death before intubation.
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December 2024
Department of General Surgery, The Affiliated People's Hospital of Jiangsu University, 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China.
Impaired nutritional status is closely related to the development of sarcopenia and poor quality of life (QoL) in cancer patients. This study aimed to investigate the association of Geriatric Nutritional Risk Index (GNRI) with sarcopenia and QoL in patients with gastric cancer (GC). Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia 2019 criteria.
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December 2024
Division of Rheumatology, Department of Internal Medicine, School of Medicine, Kocaeli University Hospital, Kocaeli, Turkey.
Background: Hematological markers such as the neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) are reliable indicators of inflammation. This study aims to investigate the potential role of these markers in assessing disease activity and treatment response in biologic-naive Ankylosing Spondylitis (AS) patients following the initiation of biological agents.
Materials And Methods: We designed this study as a retrospective cohort study with data obtained from a single center.
Sci Rep
December 2024
Artificial Intelligence in Medical Sciences Research Center, Smart University of Medical Sciences, Tehran, Iran.
Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.
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December 2024
Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
The aim of this study was to evaluate how COVID-19 affected acute stroke care and outcome in patients with acute ischemic or hemorrhagic stroke. We performed a retrospective analysis on patients who were admitted with acute ischemic (AIS) or hemorrhagic (ICH) stroke from September 2020 to May 2021 with and without COVID-19. We recorded demographic and clinical data, imaging parameters, functional outcome and mortality at one year.
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