Background: Acute liver injury (ALI), a complication often seen in COVID-19 patients, can lead to severe liver damage, multi-organ failure, acute vascular events, and can potentially escalate to patient mortality. Given this, we initiated a meta-analysis to investigate the correlation between ALI and adverse outcomes in COVID-19 patients.
Methods: We conducted an exhaustive search of databases, including Medline, Embase, PubMed Central, ScienceDirect, Google Scholar, and the Cochrane Library, from the November 2019 until January 2022. The quality of the included studies was evaluated using the Newcastle Ottawa (NO) scale. Our meta-analysis was carried out using a random-effects model and results were presented as pooled odds ratios (ORs) with their corresponding 95% confidence intervals (CIs).
Results: Our analysis incorporated 20 studies involving a total of 13,850 participants, predominantly from China and the United States. According to the NO scale, the majority of these studies were categorized as low-quality. Patients with ALI faced approximately 7 times higher odds of severe COVID-19 symptoms (pooled OR = 7.09; 95%CI: 4.97 to 10.12) and over 5 times higher odds of mortality (pooled OR = 5.50; 95%CI: 3.37 to 8.99) when compared to those without ALI.
Conclusion: Our findings affirm that ALI is a potent predictor of adverse outcomes, including severity and mortality, among COVID-19 patients. Recognizing and promptly addressing ALI in COVID-19 patients could be pivotal in improving prognosis and tailoring individualized patient management strategies. This underscores the need for clinicians to be vigilant about liver complications in the COVID-19 patients and integrate appropriate interventions in the treatment paradigm.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560047 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2023.e20338 | DOI Listing |
BMC Oral Health
January 2025
Department of Stomatology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
Purpose: To perform risk assessment and analysis of potential infection during stomatology workflow in a hospital in the context of a major infectious disease outbreak, and to determine the key failure modes and measures to prevent and control infection.
Method: Following the Failure Modes and Effects Analysis (FMEA) method based on the stomatology workflow, the opinions of 30 domain-experts in related fields were collected through questionnaires to determine all potential failure modes in the severity (S), occurrence (O), and detectability (D) dimensions. The group score was then integrated through the median method and the risk priority number (RPN) was obtained.
BMC Health Serv Res
January 2025
ORCHID Centre for Outcomes and Experience Research in Child Health, Illness and Disability Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Background: During COVID-19 pandemic, a rapid readjustment to continued delivery of healthcare was required. Redeployment is an intentional process to mobilise human resources by reassigning a healthcare worker to a new role or new work location, to achieve sustainable delivery of patient care. We report redeployment experiences of staff from a specialist children's hospital during first and second waves of the United Kingdom COVID-19 pandemic.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Department of Health Medicine and Caring Sciences, Linkoping University, Linköping, Sweden.
Background: Evidence about rehabilitation of post COVID-19 condition is scarce. Yoga has been found beneficial in other chronic conditions and can be delivered in a digital format at home. The aim of the study was to explore the feasibility of teleyoga in persons with post COVID-19 condition by assessing adherence, safety, limited efficacy and experiences.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Institute for Health Services Research and Clinical Epidemiology, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany.
Background: The COVID-19 pandemic entailed a global health crisis, significantly affecting medical service delivery in Germany as well as elsewhere. While intensive care capacities were overloaded by COVID cases, not only elective cases but also non-COVID cases requiring urgent treatment unexpectedly decreased, potentially leading to a deterioration in health outcomes. However, these developments were only uncovered retrospectively.
View Article and Find Full Text PDFNeurol Sci
January 2025
Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Background And Aim: COVID-19 is associated with neurological complications, termed neuro-COVID, affecting patient outcomes. We aimed to evaluate the association between serum neurofilament light chain (NfL) and S100B biomarkers with the presence of neurological manifestations and functional prognosis in COVID-19 patients.
Methods: A multicenter prospective cohort study was conducted in three hospitals in the Emilia-Romagna region, Italy, from March 2020 to April 2022.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!