The prognostic value of biomarker levels and chest imaging in patients with COVID-19 presenting to the emergency department.

INTRODUCTION: We aimed to compare the prognostic value of a quantitative CT severity score with several laboratory parameters, particularly C-reactive protein, Procalcitonin, Neutrophil to lymphocyte ratio, D-dimer, ferritin, lactate dehydrogenase, lactate, troponin and B-type Natriuretic Peptide in predicting in-hospital mortality. METHODS: This was a retrospective chart review study of COVID-19 patients who presented to the Emergency Department of a tertiary care center between February and December 2020. All patients ≥18 years old who tested positive for the COVID-19 real-time reverse transcriptase polymerase chain reaction and underwent CT imaging at presentation were included. The primary outcome was the prognostic ability of CT severity score versus biomarkers in predicting in-hospital mortality. RESULTS: The AUCs were: D-dimer (AUC: 0.67 95% CI = 0.57-0.77), CT severity score (0.66, 95% CI = 0.55-0.77), LDH (0.66, 95% CI = 0.55-0.77), Pro-BNP (0.65, 95% CI = 0.55-0.76), NLR (0.64, 95% CI = 0.53-0.75) and troponin (0.64, 95% CI = 0.52-0.75). In the stepwise logistic regression, age (OR = 1.07 95% CI = 1.05-1.09), obesity (OR = 2.02 95% CI = 1.25-3.26), neutrophil/lymphocyte ratio (OR = 1.02 95% CI = 1.01-1.04), CRP (OR = 1.01 95% CI = 1.004-1.01), lactate dehydrogenase (OR = 1.003 95% CI = 1.001-1.004) and CT severity score (OR = 1.17 95% CI = 1.12-1.23) were significantly associated with in-hospital mortality. CONCLUSION: In summary, CT severity score outperformed several biomarkers as a prognostic tool for covid related mortality. In COVID-19 patients requiring lung imaging, such as patients requiring ICU admission, patients with abnormal vital signs and those requiring mechanical ventilation, the results suggest obtaining and calculating the CT severity score to use it as a prognostic tool. If a CT was not performed, the results suggest using LDH, CRP or NLR if already done as prognostic tools in COVID-19 as these biomarkers were also found to be prognostic in COVID-19 patients.

COVID-19 in conflict region: the arab levant response.

BACKGROUND: COVID-19 has hit the world in an unprecedented way causing serious repercussions on several aspects of our life. Multiple determinants have affected various nations' level of success in their responses towards the pandemic. The Arab Levant region in the Middle East, notoriously known for repeated wars and conflicts, has been affected, similarly to other regions, by this pandemic. The combination of war, conflict, and a pandemic brings too much of a burden for any nation to handle. METHODS: A descriptive analysis of data obtained from the health departments of various Arab Levant Countries (ALC) was performed. ALC include Lebanon, Syria, Jordan, Iraq and Palestine. The data collected involves incidence, recovery rate, case fatality rate and number of tests performed per million population, Global Health Security index, government stringency index, and political stability index. The information obtained was compared and analyzed among the ALC and compared to global figures. An extensive electronic literature search to review all relevant articles and reports published from the region was conducted. The 2019 Global Health Security (GHS) index was obtained from the "GHS index" website which was made by John Hopkins University's center for health security, the Nuclear threat Initiative (NTI) and the Economist Intelligence Unit (EIU). Government stringency index and political stability index were obtained from the University of Oxford and the website of "The Global Economy", respectively. Other world governance indicators such as government effectiveness were obtained from the World Bank website. RESULTS: In terms of incidence of COVID-19, Iraq has the highest with 9665 per one million population, Syria the lowest at 256 per million. Deaths per million population was highest in Iraq at 237, and the lowest in Syria at 12. As for number of tests per million population, Lebanon ranked first at 136,033 with Iraq fourth at 59,795. There is no data available for the tests administered in Syria and subsequently no value for tests per million population. In terms of recoveries from COVID-19 per million population, Iraq had the highest number at 7903 per million, and Syria the lowest at 68 per million. When compared as percent recovery per million, Palestine ranked first (84%) and Syria last (27%). The government response stringency index shows that Jordan had the highest index (100) early in the pandemic among the other countries. Palestine's index remained stable between 80 and 96. The other countries' indices ranged from 50 to 85, with Lebanon seeing a drop to 24 in mid-August. Even with improved stringency index, Iraq reported an increased number of deaths. CONCLUSION: In countries devastated by war and conflict, a pandemic such as COVID-19 can easily spread. The Arab Levant countries represent a breeding ground for pandemics given their unstable political and economic climate that has undoubtedly affected their healthcare systems. In the era of COVID-19, looking at healthcare systems as well as political determinants is needed to assess a country's readiness towards the pandemic. The unrest in Lebanon, the uprising in Iraq, the restrictions placed on Syria, and the economic difficulties in Palestine are all examples of determinants affecting pandemic management. Jordan, on the contrary, is a good example of a stable state, able to implement proper measures. Political stability index should be used as a predictor for pandemic management capacity, and individual measures should be tailored towards countries depending on their index.

Predictors of a short hospitalization in bone marrow transplantation patients presenting to the emergency department.

BACKGROUND: Despite the advantages of bone marrow transplantation (BMT), patients receiving this intervention visit the emergency department (ED) frequently and for various reasons. Many of those ED visits result in hospitalization, and the length of stay varies. OBJECTIVES: The objective of our study was to identify the patients who were only briefly hospitalized and were thus eligible for safe discharge from the ED. METHODS: This was a retrospective cohort study conducted on all adult patients who have completed a successful BMT and had an ED visit that resulted in hospitalization. RESULTS: Our study included 115 unique BMT with a total number of 357 ED visits. Around half of those visits resulted in a short hospitalization. We found higher odds of a short hospitalization among those who have undergone autologous BMT (95%CI [1.14-2.65]). Analysis of the discharge diagnoses showed that patients with gastroenteritis were more likely to have a shorter hospitalization in comparison to those diagnosed with others (95%CI [1.10-3.81]). Furthermore, we showed that patients who presented after a month from their procedure were more likely to have a short hospitalization (95%CI [1.04-4.87]). Another significant predictor of a short of hospitalization was the absence of Graft versus Host Disease (GvHD) (95%CI [2.53-12.28]). Additionally, patients with normal and high systolic blood pressure (95%CI [2.22-6.73] and 95%CI [2.81-13.05]; respectively), normal respiratory rate (95%CI [2.79-10.17]) and temperature (95%CI [2.91-7.44]) were more likely to have a shorter hospitalization, compared to those presenting with abnormal vitals. Likewise, we proved higher odds of a short hospitalization in patients with a quick Sepsis Related Organ Failure Assessment score of 1-2 (95%CI [1.29-5.20]). Moreover, we demonstrated higher odds of a short hospitalization in patients with a normal platelet count (95%CI [1.39-3.36]) and creatinine level (95%CI [1.30-6.18]). CONCLUSION: In our study, we have shown that BMT patients visit the ED frequently and many of those visits result in a short hospitalization. Our study showed that patients presenting with fever/chills are less likely to have a short hospitalization. We also showed a significant association between a short hospitalization and BMT patients without GvHD, with normal RR, normal T °C and a normal platelet count.

Mitigating infodemics: The relationship between news exposure and trust and belief in COVID-19 fake news and social media spreading.

INTRODUCTION: Misinformation surrounding COVID-19 poses a global public health problem that adversely affects governments' abilities to mitigate the disease and causes accidental deaths and self-harm due to false beliefs about the virus, prevention measures, vaccines and cures. We aim to examine the relationship between exposure to and trust in COVID-19 news (from Television, social media, interpersonal communication) and information sources (healthcare experts, government, clerics) and belief in COVID-19 myths and false information, as well as critical verification practices before posting on social media. METHODS: We use a cross-sectional researcher-administered phone survey of adults living in Lebanon between March 27 and April 23, 2020. RESULTS: The sample included 56.1% men and 43.9% women, 37.9% with a university degree, 63.0% older than 30, and 7% with media literacy training. Those who trust COVID-19 news from social media [95%CI:(1.05-1.52)] and interpersonal communication [95%CI:(1.25-1.82)], and those who trust information from clerics [95%CI:(1.25-1.82)] were more likely to believe in COVID-19 myths and false information. University graduates [95%CI:(0.25-0.51)] and those who trust information from government [95%CI:(0.65-0.89] were less likely to believe in myths and false information. Those who believe in COVID-19 myths and false information [95%CI:(0.25-0.70)] were less likely to engage in critical social media posting practices. Only those who underwent media literacy training [95%CI:(1.24-6.55)] were more likely to engage in critical social media posting practices. CONCLUSION: Higher education and trust in information from government contributed to decreasing belief in COVID-19 myths and false information. Trust in news from social media, interpersonal communication and clerics contributed to increasing belief in COVID-19 myths and false information, which in turn contributed to less critical social media posting practices, thereby exacerbated the infodemic. Media literacy training contributed to increasing critical social media posting practices, thereby played a role in mitigating the infodemic.

Media Exposure and Health Behavior during Pandemics: The Mediating Effect of Perceived Knowledge and Fear on Compliance with COVID-19 Prevention Measures.

Emerging research has examined the role of media coverage of diseases in influencing people's health behavior, particularly their compliance with prevention measures. This study examines whether increased media exposure to COVID-19 news and interpersonal communication about the disease positively relate to people's abidance by prevention measures, and whether perceived knowledge and fear mediate this relationship. The study focuses on Lebanon, whose government and media responses led to a successful containment of COVID-19 in its first phase, although the country was experiencing a severe economic crisis, widespread political unrest, and a massive influx of refugees. It examines both legacy media (Television) and social media, as well as interpersonal communication, through a cross-sectional researcher-administered phone survey of 1,536 adults and a nationally representative probability sample. The fieldwork was conducted between March 27 and April 23, 2020, and resulted in a 51.6% response rate. The findings support the hypotheses that increased media exposure to COVID-19 news positively relates to people's abidance by prevention measures and that perceived knowledge and fear mediate this relationship. However, the same hypotheses for interpersonal communication were not supported.

The impact of COVID-19 lockdown measures on ED visits in Lebanon.

INTRODUCTION: As the COVID-19 pandemic spread globally, emergency departments (ED) around the world began to report significant drops in volumes and changes in disease patterns. During the early COVID-19 period, Lebanon followed an aggressive containment approach to halt the spread of the disease. OBJECTIVE: This study aims to examine the impact of the different national containment measures and the early COVID-19 outbreak in Lebanon on ED visit volume and disease spectrum in a single center ED in Lebanon. METHODS: This study is a secondary analysis of ED visit administrative data, comparing ED visits during the three months period prior to the first identified COVID-19 case in Lebanon with the first 3 months post-COVID-19. A time series analysis of ED visit trends in relation to the major lockdown measures was conducted. Statistical analyses were performed using the Statistical Package for Social Sciences (SPSS, version 27) and STATA version 15 (StataCorp LLC., College Station,TX). Statistical significance was set at 0.05. RESULTS: The daily ED visit volume significantly decreased in response to the closure of educational institutions (19.96% per day, p-value = 0.04) and the declaration of public mobilization state with border closure (97.11% per day, p-value <0.0001). ED visits decreased by 47.2% post-COVID-19. The drop was highest amongst pediatric patients (66.64%). Patients who presented post-COVID-19, compared to pre-COVID-19 were older (40.39 ± 24.96 vs 33.71 ± 24.83, p-value <0.0001), had higher hospital admission rates (28.8% vs. 22.1%, p-value <0.0001), higher critical care admission rates (5.6% vs. 3.5%, p-value <0.001), and double mortality rate (0.4% vs 0.2%, p-value = 0.006). While visits for most diseases dropped, the odds of presenting to the ED post-COVID19 were higher for bacterial infections and non-communicable disease and lower for injuries and communicable diseases. CONCLUSION: ED visits dropped significantly during the COVID-19 containment period. Understanding the trends of changes in disease entities is important for ED staffing purposes during the pandemic and the varying containment efforts. While stringent lockdown measures were associated with drops in ED visits, understanding the reason behind these drops, specifically whether behavioral or related to true drops in disease prevalence, needs further exploration.