Adjunctive therapy with lipid-lowering agents in COVID-19: a systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Many commonly used drugs were evaluated as repurposed treatment options since the emergence of the COVID-19 pandemic. The benefit of lipid-lowering agents has been controversial in this regard. In this systematic review, we assessed the effect of these medications as adjunctive therapy in COVID-19 by the inclusion of randomized controlled trials (RCTs). METHODS: We searched four international databases including PubMed, the Web of Science, Scopus, and Embase for RCTs in April 2023. The primary outcome was mortality, while other efficacy indices were considered secondary outcomes. In order to estimate the pooled effect size of the outcomes, considering the odds ratio (OR) or standardized mean difference (SMD) and 95% confidence interval (CI), random-effect meta-analyses was conducted. RESULTS: Ten studies involving 2,167 COVID-19 patients using statins, omega-3 fatty acids, fenofibrate, PCSK9 inhibitors, and nicotinamide as intervention compared to control or placebo, were included. No significant difference was found in terms of mortality (OR 0.96, 95% CI 0.58 to 1.59, p-value = 0.86, I2 = 20.4%) or length of hospital stay (SMD -0.10, 95% CI -0.78 to 0.59, p-value = 0.78, I2 = 92.4%) by adding a statin to the standard of care. The trend was similar for fenofibrate and nicotinamide. PCSK9 inhibition, however, led to decreased mortality and an overall better prognosis. Omega-3 supplementation showed contradicting results in two trials, suggesting the need for further evaluation. CONCLUSION: Although some observational studies found improved outcomes in patients using lipid-lowering agents, our study found no benefit in adding statins, fenofibrate, or nicotinamide to COVID-19 treatment. On the other hand, PCSK9 inhibitors can be a good candidate for further assessment. Finally, there are major limitations in the use of omega-3 supplements in treating COVID-19 and more trials are warranted to evaluate this efficacy.

Impact of COVID-19 on poisoning-related mortality in Iran: An interrupted time series study.

BACKGROUND: The COVID-19 pandemic had many negative effects worldwide. These effects involved mental health status issues such as suicide, depression, and the pattern of death associated with drug/poisonings. One of the major concerns of the healthcare community during the pandemic was mortality from poisonings. This study aimed to investigate the trends of mortality from different types of poisonings before and after COVID-19. METHODS: The patients who died from six different categories of drugs or poisons were identified by forensic analysis of body fluids/tissues in Tehran, Iran. The pandemic was separated into the pre-COVID-19 period (April 2018 to January 2020), and the COVID pandemic (February 2020-April 2022). Demographic characteristics were collected from each victim, and comparisons of death trends before and after the pandemic were conducted using the interrupted time series analysis. The absolute number of deaths and proportion of deaths from each type of drug/poisoning were used for the analyses. RESULTS: A total of 6,316 deaths from drugs/poisoning were identified between April 2018-Mar 2022). During this period, 2,485 deaths occurred pre-COVID, and 3,831 were during the COVID-19 era. There were no statistical differences in terms of demographic characteristics before and after the pandemic, except for job status. There was a sharp increase in proportion of methanol death among all poisonings after the start of the pandemic (16.5%, p-value = 0.025), while there was a decreasing trend during the pandemic (-0.915 deaths monthly, p-value = 0.027). The trends for opioids, stimulants, and drug-related deaths changed from decreasing to increasing. No change was seen in the trends for ethanol and volatile substance deaths. This pattern was mirrored in the proportion of each type of poisoning relative to the total number. CONCLUSION: Changes in poisoning-related mortality patterns showed dramatic changes after the start of the pandemic, especially deaths from methanol. Other poisonings such as opioids, stimulants, and drugs should also be addressed as there was an increasing trend during the COVID-19 period, compared to the pre-COVID data.

Galectins can serve as biomarkers in COVID-19: A comprehensive systematic review and meta-analysis.

Background: Galectins are an eleven-member class of lectins in humans that function as immune response mediators and aberrancies in their expression are commonly associated with immunological diseases. Several studies have focused on galectins as they may represent an important biomarker and a therapeutic target in the fight against COVID-19. This systematic review and meta-analysis examined the usefulness of clinical assessment of circulating galectin levels in patients with COVID-19. Methods: International databases including PubMed, Scopus, Web of Science, and Embase were systematically used as data sources for our analyses. The random-effect model was implemented to calculate the standardized mean difference (SMD) and a 95% confidence interval (CI). Results: A total of 18 studies, comprising 2,765 individuals, were identified and used in our analyses. We found that Gal-3 is the most widely investigated galectin in COVID-19. Three studies reported significantly higher Gal-1 levels in COVID-19 patients. Meta-analysis revealed that patients with COVID-19 had statistically higher levels of Gal-3 compared with healthy controls (SMD 0.53, 95% CI 0.10 to 0.96, P=0.02). However, there was no significant difference between severe and non-severe cases (SMD 0.45, 95% CI -0.17 to 1.07, P=0.15). While one study supports lower levels of Gal-8 in COVID-19, Gal-9 was measured to be higher in patients and more severe cases. Conclusion: Our study supports Gal-3 as a valuable non-invasive biomarker for the diagnosis and/or prognosis of COVID-19. Moreover, based on the evidence provided here, more studies are needed to confirm a similar diagnostic and prognostic role for Gal-1, -8, and -9.

Systematic Review of Endocan as a Potential Biomarker of COVID-19.

Since the start of the coronavirus disease 2019 (COVID-19) pandemic, several biomarkers have been proposed to assess the diagnosis and prognosis of this disease. The present systematic review evaluated endocan (a marker of endothelial cell damage) as a potential diagnostic and prognostic biomarker for COVID-19. PubMed, Scopus, Web of Science, and Embase were searched for studies comparing circulating endocan levels between COVID-19 cases and controls, and/or different severities/complications of COVID-19. Eight studies (686 individuals) were included, from which four reported significantly higher levels of endocan in COVID-19 cases compared with healthy controls. More severe disease was also associated with higher endocan levels in some of the studies. Studies reported higher endocan levels in patients who died from COVID-19, were admitted to an intensive care unit, and had COVID-19-related complications. Endocan also acted as a diagnostic and prognostic biomarker with different cut-offs. In conclusion, endocan could be a novel diagnostic and prognostic biomarker for COVID-19. Further studies with larger sample sizes are warranted to evaluate this role of endocan.

Risk of COVID-19 infection and the associated hospitalization, ICU admission and mortality in opioid use disorder: a systematic review and meta-analysis.

BACKGROUND: Opioid use disorder (OUD) as a common drug use disorder can affect public health issues, including the COVID-19 pandemic, in which patients with OUD may have higher risk of infection and severe disease. This systematic review and meta-analysis was conducted to investigate the risk of COVID-19 and the associated hospitalization, intensive care unit (ICU) admission, and mortality in patients with OUD. MATERIALS AND METHODS: A comprehensive systematic search was performed on PubMed, Scopus, Embase, and Web of Science to find studies which compared the infection rate and outcomes of COVID-19 in OUD patients in comparison with the normal population. A random effects meta-analysis model was developed to estimate odd ratios (OR) and 95% confidence interval (CI) between the outcomes of COVID-19 and OUD. RESULTS: Out of 2647 articles identified through the systematic search, eight were included in the systematic review and five in the meta-analysis. Among 73,345,758 participants with a mean age of 57.90 ± 13.4 years, 45.67% were male. The findings suggested no significant statistical relationship between COVID-19 infection and OUD (OR (95% CI): 1.18 (0.47-2.96), p-value: 0.73). Additionally, patients with OUD had higher rate of hospitalization (OR (95% CI) 5.98 (5.02-7.13), p-value<0.01), ICU admission (OR (95% CI): 3.47 (2.24-5.39), p-value<0.01), and mortality by COVID-19) OR (95% CI): 1.52(1.27-1.82), pvalue< 0.01). CONCLUSION: The present findings suggested that OUD is a major risk factor for mortality and the need for hospitalization and ICU admission in patients with COVID-19. It is recommended that policymakers and healthcare providers adopt targeted methods to prevent and manage clinical outcomes and decrease the burden of COVID-19, especially in specific populations such as OUD patients.

Individual and working experiences of healthcare workers infected with COVID-19: A qualitative study.

INTRODUCTION: The major burden of the COVID-19 pandemic has been mainly on healthcare workers (HCWs) and as a result many of them have been afflicted with the disease thus far. PURPOSE: The present study was an effort to investigate Tehran University of Medical Sciences HCWs' experiences of COVID-19 during the pandemic in Tehran, Iran. METHODS: This study is essentially a conventional qualitative content analysis. Twenty-six HCWs (including 7 physicians, 16 nurses, and 3 physiotherapists) were purposefully selected to participate in the study. The data were collected from April 2020 to January 2021 through semi-structured face-to-face interviews. The interviews were transcribed and then analyzed based on the Graneheim and Lundman method using MAXQDA 12. RESULTS: Based on the qualitative content analysis which resulted in 364 initial codes, three themes and eight subthemes were extracted. The extracted themes were "support," "control," and "improvement." CONCLUSIONS: HCWs are in close contact with COVID-19 patients as part of their professional careers and the provision of quality patient care in times of crises is unattainable unless HCWs enjoy support and their own health is maintained. Making institutional, national, and international preparations for their protection is an obligation.