Articles: mechanical-ventilation.
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Ivermectin was shown to inhibit severe acute respiratory syndrome coronavirus 2 replication in vitro, which has led to off-label use, but clinical efficacy has not been described previously. ⋯ Ivermectin treatment was associated with lower mortality during treatment of COVID-19, especially in patients with severe pulmonary involvement. Randomized controlled trials are needed to confirm these findings.
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Critical care clinics · Jan 2021
ReviewEvidence-Based Communication with Critically Ill Older Adults.
Communication is a critical component of patient-centered care. Critically ill, mechanically ventilated patients are unable to speak and this condition is frightening, frustrating, and stressful. ⋯ Older adults are at higher risk for communication impairments in the ICU because of pre-illness communication disorders and cognitive dysfunction that often accompanies or precedes critical illness. Assessing communication disorders and developing patient-centered strategies to enhance communication can lessen communication difficulty and increase patient satisfaction.
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Respiratory failure in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection appears related to cytokine release syndrome that often results in mechanical ventilation (MV). We investigated the role of tocilizumab (TCZ) on interleukin-6 (IL-6) trends and MV in patients with SARS-CoV-2. In this longitudinal observational study, 112 patients were evaluated from 1 February to 31 May 2020. ⋯ Early use of TCZ may reduce the need for MV and decrease CRP, ferritin, LDH, and D-dimer levels. The sequential use of methylprednisolone for 72 hours seems to potentiate the effect and prolong the suppression of the cytokine storm. IL-6 levels may be helpful as a prognostic tool.
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Accurate height measurement is critical for accurate dosing of medications, mechanical ventilation, and nutritional calculations. Prior research has identified inaccuracies with self-reported height, and height is notably important to measure accurately in critically ill patients. In this study, conducted in a large tertiary academic medical center, medical records rarely indicated the method of height measurement, and there were statistically significant variations in measured height across admissions.
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Frontiers in medicine · Jan 2021
Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database.
Background: Mechanically ventilated patients in the intensive care unit (ICU) have high mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology Score II (SAPS II), Oxford Acute Severity of Illness Score (OASIS), and Sequential Organ Failure Assessment (SOFA), widely used in the general ICU population. We aimed to establish prediction scores on mechanically ventilated patients with the combination of these disease severity scores and other features available on the first day of admission. ⋯ The top five predictors were age, respiratory dysfunction, SAPS II score, maximum hemoglobin, and minimum lactate. Conclusion: The current study indicates that models with the risk of factors on the first day could be successfully established for predicting mortality in ventilated patients. The XGBoost model performs best among the seven machine learning models.