Introduction: Non-invasive mechanical ventilation (NIMV) is a successful treatment modality in hypercapnic respiratory failure. Patient compliance and mask selection are the most important factors in the success of NIMV. In our prospective randomized study, we aimed to investigate the efficacy of full-face and oronasal masks in the treatment of patients with hypercapnic respiratory failure who underwent NIMV and to investigate the mask compliance of the patients.
Materials And Methods: In this prospective randomized study, 60 patients with hypercapnic respiratory failure were divided into two groups; the full face mask group (n= 30) and the oronasal mask group (n= 30). Arterial blood gas values and respiratory rates were measured before the treatment and at the 1st, 6th, 24th, and 72nd hours of the treatment. The compliance of the patients with the treatment was evaluated with the patient compliance scale (PCS) at the 1st, 6th, and 24th hours of the treatment.
Result: Eight patients from the full-face mask group were excluded because of mask-face mismatch and claustrophobia, and two patients from the oronasal mask group due to persistent hypercapnia. In the full face mask group, improvement in pH was observed at the 1st and 24th hours of treatment (p= 0.042, p= 0.033), and PCO2 decreased at the 72nd hour of treatment (p= 0.024). There was no difference in patient compliance and respiratory rate between groups. The complaints of burning sensation and pressure in the eyes were higher in the full face mask group (p= 0.025), and pressure ulcers were more common in the oronasal mask group (p= 0.025).
Conclusions: The reduction in PCO2 and improvement in pH were greater with a full face mask. Pressure sores were less common with a full face mask. In our study, no difference was found in terms of patient compliance between groups. It should be noted that choosing a full face mask in patients with high compliance will increase the success in the treatment of hypercapnic respiratory failure.
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http://dx.doi.org/10.5578/tt.20229806 | DOI Listing |
BMC Anesthesiol
January 2025
Department of Anesthesiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkla, 90110, Thailand.
Background: A previous study showed that airway ultrasound, specifically the distance from the skin to the hyoid bone (DSHB), may be correlated with a higher risk of difficult mask ventilation (DMV). However, the study was conducted in Italy and lacks data for the Asian and Thai populations. This study aimed to predict DMV using pre-operative ultrasonography to measure the DSHB and from the skin to the thyroid isthmus (DSTI) in Thai patients undergoing elective surgery under general anesthesia.
View Article and Find Full Text PDFFront Public Health
January 2025
College of Liberal Arts, Dankook University, Cheonan-si, Chungcheongnam-do, Republic of Korea.
Introduction: Fine dust exposure has been reported to affect patients with prostate cancer, making it crucial to understand how environmental pollutants impact health. This study aimed to determine the risk of prostate cancer in South Korea associated with moderate levels of fine dust (PM) exposure.
Methods: We analyzed data from 20,430 individuals in the National Health Insurance Sharing Service database from 2010 to 2020, comparing a new prostate cancer group ( = 4,071, 19.
BMC Med
January 2025
Department of Gynaecology and Obstetrics, Women and Children's Hospital of Chongqing Medical University (Chongqing Health Center for Women and Children), Chongqing, China.
Background: Prospective trial evidence is lacking regarding the application of enhanced recovery after surgery (ERAS) in transvaginal pelvic floor reconstruction surgery among older patients. Our study aimed to investigate whether implementing the ERAS protocol could enhance post-operative recovery in this patient population.
Methods: Older patients undergoing elective transvaginal pelvic floor reconstruction surgery were randomly assigned to either the ERAS group or the conventional group.
Sensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Department of Orthodontics, Faculty of Dentistry, Ataturk University, 25030 Erzurum, Turkey.
: The aim of this prospective study was to assess the effects of rapid maxillary expansion (RME) and/or face mask (FM) treatments on the pharyngeal airway in patients with skeletal Class III malocclusion caused by maxillary deficiency. This study utilized cone beam computed tomography (CIBT) for a three-dimensional (3D) analysis of airway changes, comparing the results with those of a control group consisting of untreated skeletal Class III patients. : The study included 60 participants (34 boys, 26 girls) aged 9 to 14 years, all diagnosed with skeletal Class III malocclusion due to maxillary underdevelopment.
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