Observational cohort study of the clinical outcomes associated with B.1.1.7/SGTF among hospitalized COVID-19 patients in Lebanon.

Background: The B.1.1.7 SARS-CoV-2 variant results in spike gene target failure (SGTF) in reverse transcription-quantitative polymerase chain reaction (RT-PCR) assays. Few studies have been published on the clinical impact of B.1.1.7/SGTF. Aims: To assess the incidence of B.1.1.7/SGTF and its associated clinical characteristics among hospitalized COVID-19 patients. Methods: This observational, single-centre, cohort study was conducted between December 2020 and February 2021 and included 387 hospitalized COVID-19 patients. The Kaplan-Meier method was used for survival analysis, and logistic regression to identify risk factors associated with B.1.1.7/SGTF. Results: By February 2021, B.1.1.7/SGTF (88%) dominated the SARS-CoV-2 PCR results in a Lebanese hospital. Of the 387 eligible COVID-19 patients confirmed by SARS-CoV-2 RT-PCR, 154 (40%) were non-SGTF and 233 (60%) were B.1.1.1.7/SGTF; this was associated with a higher mortality rate among female patients [22/51 (43%) vs 7/37 (19%); P = 0.0170]. Among patients in the B.1.1.7/SGTF group, most were aged ≥ 65 years [162/233 (70%) vs 74/154 (48%); P < 0.0001]. Independent predictors of B.1.1.7/SGTF infection were hypertension (OR = 0.415; CI: 0.242-0.711; P = 0.0010), age ≥ 65 years (OR = 0.379; CI: 0.231-0.622; P < 0.0001), smoking (OR = 1.698; CI: 1.023-2.819; P = 0.0410), and cardiovascular disease (OR = 3.812; CI: 2.215-6.389; P < 0.0001). Only non-SGTF patients experienced multi-organ failure [5/154 (4%) vs 0/233 (0%); P = 0.0096]. Conclusion: There was a clear difference between the clinical features associated with B.1.1.7/SGTF and non-SGTF lineages. Tracking viral evolution and its clinical impact is crucial for proper understanding and management of the COVID-19 pandemic.

A retrospective analysis of 902 hospitalized COVID-19 patients in Lebanon: clinical epidemiology and risk factors.

BACKGROUND: The clinical epidemiology of hospitalized COVID-19 patients has never been described before in Lebanon. Moreover, the hospital admission and PCR positivity rates have not been assessed and compared yet. OBJECTIVES: To describe the characteristics and outcomes of hospitalized patients with coronavirus induced disease 2019 (COVID-19) in Lebanon and identify risk factors for severe disease or death. STUDY DESIGN: This is a retrospective mono-center cohort study in which we used patients' files to extract and analyse data on demographic and clinical characteristics, as well as mortality. Moreover, we tracked the pandemic by recording the daily total and ICU inpatient census and the PCR positivity rate for admitted and outpatients. RESULTS: Although the total admission rate increased from September to April, the ICU census switched this trend in December to stabilize at an average of around 10 patients/day until April. The case fatality rate was 19% for the 902 hospitalized patients, of which the majority (80%) had severe COVID-19. The severity odds ratio is significantly decreased in immunosuppressed cases (OR, 0.18; CI, 0.05-0.67; p=0.011). Additionally, the odds of COVID-19 related death are significantly greater if consolidations are found in the chest computed tomography (CT) scan (OR, 12; CI, 2.63-55.08; p=0.0013). CONCLUSION: Consolidations in the lungs significantly increase the COVID-19 death risk. Risk factors identification is important to improve patients' management and vaccination strategies. In addition, hospital statistics are good indicators of a pandemic's track.

Variant analysis of the first Lebanese SARS-CoV-2 isolates.

Recently the first genome sequences for 11 SARS-CoV-2 isolates from Lebanon became available. Here, we report the detection of variants within the genome of these strains. Pairwise alignment analysis using blastx was performed between these sequences and the UniProtKB data for the SARS-CoV-2 coronavirus to identify amino acid variations. Variants analysis was performed using multiple Bioinformatics tools. We noticed for the first time 18 mutations that have never been reported before. Among those, a frame shift (8651A>) in NSP4, a stop codon 6887A > T in NSP3 and two missense mutations in spike S2 were found. In addition, we found 28 variants in ORF1ab alone. A previously reported variant, 23403A > G, in the spike protein S2 was mostly seen. Two other known mutations 25563G > T in ORF3a and 14408C > T in ORF1ab were detected respectively in 6 and 8 out of the 11 isolates. Our results may help to prognose forthcoming infections in this region.