A body of evidence supports the use of low tidal volumes in ventilated patients without lung pathology to slow progress to acute respiratory distress syndrome (ARDS) due to ventilator associated lung injury. We undertook a retrospective chart review and tested the hypothesis that tidal volume is a predictor of mortality in cardiothoracic (medical and surgical) critical care patients receiving invasive mechanical ventilation. Independent predictors of mortality in our study included: type of surgery, albumin, H, bilirubin, and fluid balance. In particular, it is important to note that cardiac, thoracic, and transplant surgical patients were associated with lower mortality. However, our study did not sample equally from The Berlin Definition of ARDS severity categories (mild, moderate, and severe hypoxemia). Although our study was not adequately powered to detect a difference in mortality between these groups, it will inform the development of a large prospective cohort study exploring the role of low tidal volume ventilation in cardiothoracic critically ill patients.
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http://dx.doi.org/10.2147/IJGM.S122204 | DOI Listing |
Infect Dis Ther
December 2024
Roche Diagnostics GmbH, Nonnenwald 2, 81377, Penzberg, Germany.
Introduction: The use of antibody titers against SARS-CoV-2, as a method of estimating subsequent infection following infection or vaccination, is unclear. Here, we investigate whether specific levels of antibodies, as markers of adaptive immunity, can serve to estimate the risk of symptomatic SARS-CoV-2 (re-) infection.
Methods: In this real-world study, laboratory data from individuals tested for SARS-CoV-2 antibodies under routine clinical conditions were linked through tokenization to a United States medical insurance claims database to determine the risk of symptomatic/severe SARS-CoV-2 infection outcomes.
Neurosurg Rev
December 2024
Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Chamran Blvd, Shiraz, 7194815711, Iran.
Background: Traumatic Brain Injury (TBI) is a leading cause of hospitalization and disability in young and middle-aged adults. This study aims to survey the efficacy of oral modafinil, a low-side-effect central nervous system stimulant, in the enhancement of consciousness recovery in moderate to severe TBI patients in the ICUs of a referral trauma center.
Materials And Methods: All ICU patients meeting inclusion criteria between April 2021 and April 2023 were screened.
JAMA Netw Open
December 2024
Nethersole Institute of Continuing Holistic Health Education (NICHE), Alice Ho Miu Ling Nethersole Charity Foundation, Hong Kong, China.
Importance: Domiciliary noninvasive ventilation (NIV) is a standard treatment for improving health outcomes among patients with chronic hypercapnic respiratory failure (CHRF). However, poor adherence substantially limits its therapeutic effectiveness.
Objective: To determine the effect of an information-motivation-behavioral (IMB) skills-based intervention (IMB-NIV program) on NIV adherence, patient-reported health outcomes, and health service use among patients with CHRF.
PLoS One
December 2024
The First Clinical Medical College, Southern Medical University, Guangzhou, Guangdong, China.
Objective: In this retrospective analysis, we explored the clinical characteristics and risk factors of secondary infections in patients with severe heatstroke with the aim to gain epidemiological insights and identify risk factors for secondary infections.
Method: The study included 129 patients with severe heatstroke admitted to the General Hospital of the Southern Theater Command of the PLA between January 1, 2011, and December 31, 2021. Patients were divided into an infection group (n = 24) and a non-infection group (n = 105) based on infection occurrence within 48 h of intensive care unit (ICU) admission.
PLOS Digit Health
December 2024
School of Public Health, University of São Paulo, São Paulo, Brazil.
Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.
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