Articles: mechanical-ventilation.
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Critical care medicine · Jun 2024
Review Meta AnalysisFactors Affecting Mortality in Critically Ill Patients With Tuberculosis: A Systematic Review and Meta-Analysis.
Critically ill patients with tuberculosis carry high mortality. Identification of factors associated with mortality in critically ill tuberculosis patients may enable focused treatment. ⋯ Patient age, platelet count, albumin and CRP levels, the requirement and duration of invasive mechanical ventilation, Pa o2 /F io2 ratio, hospital-acquired infections, renal replacement therapy, and ICU LOS were variables associated with mortality.
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Review Meta Analysis
Low-Medium and High-Intensity Inspiratory Muscle Training in Critically Ill Patients: A Systematic Review and Meta-Analysis.
Background and objectives: Mechanical ventilation is often used in intensive care units to assist patients' breathing. This often leads to respiratory muscle weakness and diaphragmatic dysfunction, causing weaning difficulties. Inspiratory muscle training (IMT) has been found to be beneficial in increasing inspiratory muscle strength and facilitating weaning. ⋯ Additionally, no statistical difference was noticed in the duration of mechanical ventilation. The application of IMT is recommended to ICU patients in order to prevent diaphragmatic dysfunction and facilitate weaning from mechanical ventilation. Therefore, further research as well as additional RCTs regarding different protocols are needed to enhance its effectiveness.
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Intensive care medicine · May 2024
Meta AnalysisElectrical impedance tomography-guided positive end-expiratory pressure titration in ARDS: a systematic review and meta-analysis.
Assessing efficacy of electrical impedance tomography (EIT) in optimizing positive end-expiratory pressure (PEEP) for acute respiratory distress syndrome (ARDS) patients to enhance respiratory system mechanics and prevent ventilator-induced lung injury (VILI), compared to traditional methods. ⋯ EIT facilitates real-time, individualized PEEP adjustments, improving respiratory system mechanics. Integration of EIT as a guiding tool in mechanical ventilation holds potential benefits in preventing ventilator-induced lung injury. Larger-scale studies are essential to validate and optimize EIT's clinical utility in ARDS management.
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Meta Analysis
Nocturnal Pressure Controlled Ventilation Improves Sleep Efficiency in Patients Receiving Mechanical Ventilation.
Patients receiving mechanical ventilation commonly experience sleep fragmentation. The present meta-analysis compared the effects of pressure controlled ventilation (PCV) and pressure support ventilation (PSV) on sleep quality. ⋯ Compared with PSV, PCV may improve sleep quality in patients receiving nocturnal mechanical ventilation.
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Am. J. Respir. Crit. Care Med. · Mar 2024
Meta Analysis Comparative StudyGeo-Economic Influence on the Effect of Fluid Volume for Sepsis Resuscitation: A Meta-Analysis.
Rationale: Sepsis management relies on fluid resuscitation avoiding fluid overload and its related organ congestion. Objectives: To explore the influence of country income group on risk-benefit balance of fluid management strategies in sepsis. Methods: We searched e-databases for all randomized controlled trials on fluid resuscitation in patients with sepsis or septic shock up to January 2023, excluding studies on hypertonic fluids, colloids, and depletion-based interventions. ⋯ Self-reported access to mechanical ventilation also significantly influenced the effect of fluid volume on mortality, which increased with higher volumes only in settings with limited access to mechanical ventilation (OR: 1.45 [95% CI: 1.09-1.93] vs. 1.09 [95% CI: 0.93-1.28], P = 0.02 for subgroup differences). Conclusions: In sepsis trials, the effect of fluid resuscitation approach differed by setting, with higher volume of fluid resuscitation associated with increased mortality in LMICs and in settings with restricted access to mechanical ventilation. The precise reason for these differences is unclear and may be attributable in part to resource constraints, participant variation between trials, or other unmeasured factors.