Background: Due to the coronavirus disease 2019 (COVID-19) pandemic, millions of lives were lost globally, including in Indonesia. Some patients with COVID-19 may experience severe symptoms of hypoxia, while some may be critically ill and admitted to the intensive care unit (ICU) for survival.
Purpose: This study aimed to understand the lived experiences of COVID-19 ICU survivors who were in a critical condition.
Methods: This phenomenological study used semistructured interviews with nine participants who were COVID-19 ICU survivors. Data analysis was performed using the Colaizzi approach.
Results: The phenomenon of the lived experiences of COVID-19 ICU survivors was presented in seven subthemes and four main themes: struggling in a state of helplessness, fostering a positive spirit from within, amplifying the support from nurses and doctors, and strengthening the connection with family and the Almighty. These themes indicated the essential aspects of psychosocial support needed to boost strength and energy and elevate the body's immune system, which is crucial to champion life through critical conditions.
Conclusion: The new insight resulting from the study is shown in the four main themes, which play a significant role in elevating the healing process and enabling patients to survive critical conditions. Therefore, this study recommends the importance of psychosocial support for patients with critical conditions, which involves family and their significant others, and facilitating the connection between the patient and God.
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http://dx.doi.org/10.2147/JMDH.S380389 | DOI Listing |
Metabolites
November 2024
Department of Intensive Care Medicine, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo City 113-8510, Japan.
A dysregulated metabolism has been studied as a key aspect of the COVID-19 pathophysiology, but its longitudinal progression in severe cases remains unclear. In this study, we aimed to investigate metabolic dysregulation over time in patients with severe COVID-19 requiring mechanical ventilation (MV). In this single-center, prospective, observational study, we obtained 236 serum samples from 118 adult patients on MV in an ICU.
View Article and Find Full Text PDFDiseases
December 2024
Fondazione Policlinico Universitario A. Gemelli, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), 00168 Rome, Italy.
Coronavirus Disease 2019 (COVID-19), triggered by SARS-CoV-2, has represented a global pandemic associated with an elevated rate of mortality, mainly among older individuals. The extensive pulmonary involvement by the viral infection might have precipitated pre-existing chronic conditions in this vulnerable population, including heart failure (HF). The aim of this retrospective, observational study was to assess the impact of COVID-19 in patients with a prior diagnosis of HF referred to the Emergency Department of the Agostino Gemelli University Hospital between March 2020 and January 2023.
View Article and Find Full Text PDFDiseases
November 2024
Discipline of Parasitology, Department of Infectious Diseases, "Victor Babes" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Background: Elderly patients, particularly those over 75 years old, have been disproportionately affected by COVID-19, exhibiting higher rates of severe outcomes, such as ICU admissions and mortality. This study aimed to evaluate and compare the effectiveness of various clinical scoring systems-qSOFA, PRIEST, PAINT, and ISARIC4C-in predicting ICU admission, the need for mechanical ventilation, and mortality among elderly COVID-19 patients.
Methods: In this retrospective cohort study conducted at two tertiary care hospitals, 131 elderly patients (aged ≥ 75) and 226 younger controls (aged < 65) with confirmed COVID-19 were included.
Environ Health
December 2024
Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, Berlin, 13353, Germany.
Background: Ambient air pollution is a known risk factor for several chronic health conditions, including pulmonary dysfunction. In recent years, studies have shown a positive association between exposure to air pollutants and the incidence, morbidity, and mortality of a COVID-19 infection, however the time period for which air pollution exposure is most relevant for the COVID-19 outcome is still not defined. The aim of this study was to analyze the difference in association when varying the time period of air pollution exposure considered on COVID-19 infection within the same cohort during the first wave of the pandemic in 2020.
View Article and Find Full Text PDFPLOS 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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