Mechanisms of severe acute respiratory syndrome coronavirus-2 induced liver damage and alteration of some liver biomarkers: A review.

The most serious problem for people suffering from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is liver damage. The liver is a frequently affected organ due to the metabolizing and detoxifying functions of several endogenous and exogenous molecules. In COVID-19-affected individuals, even moderate loss of hepatic function could dramatically affect the therapeutic efficacy of antiviral drugs metabolized in the liver. The clear mechanism of hepatocellular damage from SARS-CoV-2 infection is not fully understood. The main objective of this review is to identify potential mechanisms of SARS-2 induced liver damage, treatment outcomes in SARS-CoV-2-infected patients, and future direction. Electronic databases including Web of Science, Google Scholar, MEDLINE, Scopus, and Cochrane library were used to systematically search without limitation of publication date and status. Observational, retrospective cohort, prospective case-control, cohort studies, cross-sectional studies, or clinical trials were included. Liver damage in coronavirus patients is characterized by histopathological changes and abnormal elevation of some liver function tests. These abnormalities include elevation of Alanine aminotransferase, Aspartate aminotransferase, Gamma-glutamyl transferase, Alkaline phosphatase, and Serum bilirubin levels. Histopathological changes of the liver might consist of complete or partial thrombosis of the portal and sinusoidal vessels, portal tract fibrosis, and focally markedly enlarged and fibrotic hepatocytes. Understanding the fundamental molecular and immunological processes of COVID-19-related liver injury is essential for the selection of appropriate drugs and the logical development of successful treatment.

Geographical variation and factors associated with unsafe child stool disposal in Ethiopia: A spatial and multilevel analysis.

BACKGROUND: Unsafe disposal of children's stool makes children susceptible to fecal-oral diseases and children remain vulnerable till the stools of all children are disposed of safely. There is a paucity of data on spatial distribution and factors associated with unsafe child stool disposal in Ethiopia. Previous estimates, however, do not include information regarding individual and community-level factors associated with unsafe child stool disposal. Hence, the current study aimed (i) to explore the spatial distribution and (ii) to identify factors associated with unsafe child stool disposal in Ethiopia. METHODS: A secondary data analysis was conducted using the recent 2016 Ethiopian demographic and health survey data. A total of 4145 children aged 0-23 months with their mother were included in this analysis. The Getis-Ord spatial statistical tool was used to identify high and low hotspots areas of unsafe child stool disposal. The Bernoulli model was applied using Kilduff SaTScan version 9.6 software to identify significant spatial clusters. A multilevel multivariable logistic regression model was fitted to identify factors associated with unsafe child stool disposal. RESULTS: Unsafe child stool disposal was spatially clustered in Ethiopia (Moran's Index = 0.211, p-value< 0.0001), and significant spatial SaTScan clusters of areas with a high rate of unsafe child stool disposal were detected. The most likely primary SaTScan cluster was detected in Tigray, Amhara, Afar (north), and Benishangul-Gumuz (north) regions (LLR: 41.62, p<0.0001). Unsafe child stool disposal is more prevalent among households that had unimproved toilet facility (AOR = 1.54, 95%CI: 1.17-2.02) and those with high community poorer level (AOR: 1.74, 95%CI: 1.23-2.46). Higher prevalence of unsafe child stool disposal was also found in households with poor wealth quintiles. Children belong to agrarian regions (AOR: 0.62, 95%CI 0.42-0.91), children 6-11 months of age (AOR: 0.65, 95%CI: 0.52-0.83), 12-17 months of age (AOR: 0.68, 95%CI: 0.54-0.86), and 18-23 months of age (AOR: 0.58, 95%CI: 0.45-0.75) had lower odds of unsafe child stool disposal. CONCLUSIONS: Unsafe child stool disposal was spatially clustered. Higher odds of unsafe child stool disposal were found in households with high community poverty level, poor, unimproved toilet facility, and with the youngest children. Hence, the health authorities could tailor effective child stool management programs to mitigate the inequalities identified in this study. It is also better to consider child stool management intervention in existing sanitation activities considering the identified factors.