Background: Pain control is very important to ensure the comfort of patients and increase their quality of life.
Objectives: The purpose of this randomized controlled trial was to examine the effects of cold therapy in patients with chest tube before deep breathing and coughing exercises.
Methods: The study participants were patients with chest tubes, who were treated at a training and research hospital in Turkey between May 2, 2017, and October 24, 2019. Seventy patients participated in the study in accordance with the inclusion criteria. The intervention group, patient identification form, and visual analogue scale were used to collect data. Cold therapy was applied for the intervention group before deep breathing and coughing exercises, and not for the control group.
Results: The pain rates of the intervention group participants were lower (3.31) after the deep breathing and coughing exercises, than the rates (4.24) before the exercises (p<0.01). The pain rate (5.29) among the control group participants after the deep breathing and coughing exercises was significantly higher than those before (3.47) the exercises (p<0.01).
Conclusions: The study revealed that cold therapy before deep breathing and coughing exercises effectively relieves pain in patients with chest tubes.
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http://dx.doi.org/10.1016/j.hrtlng.2022.04.014 | DOI Listing |
PLoS One
January 2025
Duke Global Health Institute, Durham, North Carolina, United States of America.
Youth living with HIV (YLWH) face psychosocial challenges and HIV-related stigma, which impact adherence to antiretroviral therapy (ART). This study was designed to understand better the change in mental health symptoms and experiences with stigma among YLWH in Tanzania who completed the original pilot Sauti ya Vijana (SYV), a mental health and life skills group intervention. YLWH who completed SYV and demonstrated a change of ≥2 points in either direction on their Patient Health Questionnaire PHQ-9 (depression screener) from baseline to 18 months were purposively sampled.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.
View Article and Find Full Text PDFNurs Health Sci
March 2025
Department of Surgical Nursing, Faculty of Nursing, Atatürk University, Erzurum, Turkey.
The purpose of the present research is to determine the effects of pranayama and deep breathing exercises applied to patients after laparoscopic cholecystectomy on shoulder pain and sleep quality. The research was conducted at the General Surgery Clinics of the University of Health Sciences, Van Training and Research Hospital between March 2023 and June 2024. The study was carried out using a pretest-posttest control group randomized controlled experimental trial design.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biological Sciences, Faculty of Science, King AbdulAziz University, Jeddah, Saudi Arabia.
In this study, we present for the first time the landscape of the lung microbiota in patients with ventilator-associated pneumonia in Intensive Care Units in Saudi Arabia. DNA from 83 deep endotracheal aspirate lung samples was subjected to PacBio sequencing to identify pathogens in comparison with conventional diagnostic techniques. Patients on ventilation with pneumonia presented with similar lung flora to those of patients on ventilation without pneumonia.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
January 2025
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Purpose: To investigate image quality and agreement of derived cardiac function parameters in a novel joint image reconstruction and segmentation approach based on disentangled representation learning, enabling real-time cardiac cine imaging during free-breathing.
Methods: A multi-tasking neural network architecture, incorporating disentangled representation learning, was trained using simulated examinations based on data from a public repository along with MR scans specifically acquired for model development. An exploratory feasibility study evaluated the method on undersampled real-time acquisitions using an in-house developed spiral bSSFP pulse sequence in eight healthy participants and five patients with intermittent atrial fibrillation.
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