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 case of left foot drop as initial symptom of granulomatosis with polyangiitis: Triggered by COVID-19 disease?

In Granulomatosis with polyangiitis (GPA), involvement of the peripheral nervous system is frequent but its occurrence as an initial presentation is unusual. This case highlights the importance of this occurrence to permit an early diagnosis. Moreover, GPA started after a coronavirus disease 2019 infection and could have been induced by this.

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.

Evaluation of medication adherence in Lebanese hypertensive patients.

Controlling hypertension is essential in cardiovascular diseases. Poor medication adherence is associated with poor disease outcomes, waste of healthcare resources, and contributes to reduced blood pressure control. This study evaluates treatment adherence to antihypertensive therapy in Lebanese hypertensive patients by estimating the proportion of adherent hypertensive patients using a validated tool and investigates what factors predict this behavior. A questionnaire-based cross-sectional study was conducted on a random sample of 210 hypertensive outpatients selected from clinics located in tertiary-care hospitals and from private cardiology clinics located in Beirut. Adherence level was measured using a validated 8-item Modified Morisky Medication Adherence Scale (MMMAS). Among 210 patients, 50.5% showed high adherence, 27.1% medium adherence, and 22.4% low adherence to medication. Mean MMMAS score was 6.59±2.0. In bivariate analyses, having controlled blood pressure (p=0.003) and taking a combination drug (p=0.023) were predictors of high adherence. Forgetfulness (p<0.01), complicated drug regimen (p=0.001), and side effects (p=0.006) were predictors of low adherence after multiple liner regression. Logistic regression results showed that calcium channel blockers (p=0.030) were associated with increased adherence levels. In conclusion, developing multidisciplinary intervention programs to address the factors identified, in addition to educational strategies targeting healthcare providers, are necessary to enhance patient adherence.

Factors affecting medication adherence in Lebanese patients with chronic diseases.

BACKGROUND: Non-adherence to prescribed medications represents an obstacle toward achieving treatment goals. This problem is more pronounced in patients with chronic illness. OBJECTIVE: To identify the extent of adherence in Lebanese outpatients with chronic diseases, and to suggest possible predictors of non-adherence in this population. The secondary objective was to assess if medication adherence affects patients' quality of life. METHODS: A questionnaire was administered face-to-face to a sample of Lebanese adults visiting the external clinics at two Tertiary Care Hospitals in Beirut. The level of adherence was assessed using the 8-item Morisky Medication Adherence Scale which was first validated. The health-related quality of life (HRQoL) of patients was measured using the EQ-5D. Linear regression and logistic regression analyses examined possible predictors of adherence. RESULTS: Out of the 148 patients included in this study, 42.6% were classified as adherent. In the univariate analyses, statistically significant predictors of high adherence included good physician-patient relationship (p=0.029) and counseling (p=0.037), a high level of HRQoL (p<0.001), and a high level of perceived health (p<0.001). Predictors of low adherence included a declining memory (p<0.001), anxiety/depression (p=0.002), little drug knowledge (p<0.001), and postponing physician appointments (p<0.001). The multivariate analyses revealed similar results. In the linear regression, the most powerful predictor of non-adherence was the disbelief that the drug is ameliorating the disease (beta=0.279), however, in logistic regression, patient who were willing to skip or double doses in case of amelioration/deterioration were found to be 7.35 times more likely to be non-adherent than those who were not (aOR=0.136, 95% CI: 0.037-0.503). CONCLUSION: The findings of this study reassure the view that patients should be regarded as active decision makers. Patient education should be regarded as a cornerstone for treatment success. Additional studies as well are needed to test the practicability and effectiveness of interventions suggested to enhance adherence.

Factors affecting medication adherence in Lebanese patients with chronic diseases / Factores que afectan a la adherencia a la medicación en pacientes libaneses con enfermedades crónicas

Background: Non-adherence to prescribed medications represents an obstacle toward achieving treatment goals. This problem is more pronounced in patients with chronic illness. Objective: To identify the extent of adherence in Lebanese outpatients with chronic diseases, and to suggest possible predictors of non-adherence in this population. The secondary objective was to assess if medication adherence affects patients' quality of life. Methods: A questionnaire was administered face-to-face to a sample of Lebanese adults visiting the external clinics at two Tertiary Care Hospitals in Beirut. The level of adherence was assessed using the 8-item Morisky Medication Adherence Scale which was first validated. The health-related quality of life (HRQoL) of patients was measured using the EQ-5D. Linear regression and logistic regression analyses examined possible predictors of adherence. Results: Out of the 148 patients included in this study, 42.6% were classified as adherent. In the univariate analyses, statistically significant predictors of high adherence included good physician-patient relationship (p=0.029) and counseling (p=0.037), a high level of HRQoL (p<0.001), and a high level of perceived health (p<0.001). Predictors of low adherence included a declining memory (p<0.001), anxiety/depression (p=0.002), little drug knowledge (p<0.001), and postponing physician appointments (p<0.001). The multivariate analyses revealed similar results. In the linear regression, the most powerful predictor of non-adherence was the disbelief that the drug is ameliorating the disease (beta=0.279), however, in logistic regression, patient who were willing to skip or double doses in case of amelioration/deterioration were found to be 7.35 times more likely to be non-adherent than those who were not (aOR=0.136, 95%CI: 0.037-0.503). Conclusion: The findings of this study reassure the view that patients should be regarded as active decision makers. Patient education should be regarded as a cornerstone for treatment success. Additional studies as well are needed to test the practicability and effectiveness of interventions suggested to enhance adherence (AU)

Antecedentes: La no adherencia a la medicación prescrita representa un obstáculo hacia la consecución de los objetivos terapéuticos. Este problema es más grave en pacientes con enfermedades crónicas. Objetivo: Identificar la proporción de adherencia en los pacientes ambulatorios libaneses con enfermedades crónicas y sugerir posibles predictores de adherencia en esta población. El objetivo secundario fue evaluar si la adherencia a la medicación afecta a la calidad de vida de los pacientes. Métodos: Se administró presencialmente un cuestionario a una muestra de adultos libaneses que visitan las consultas ambulatorias de dos hospitales terciarios de Beirut. El nivel de adherencia se midió usando la Morisky Medication Adherence Scale de 8 ítems, que fue primeramente validada. La calidad de vida relacionada con la salud (HRQoL) de los pacientes se midió usando el EQ-5D. Análisis de regresión lineal y regresión logística examinaron los posibles predictores de adherencia. Resultados: De los 148 pacientes incluidos en este estudio, el 42,6% fueron clasificados como adherentes. En el análisis univariado, entre los predictores estadísticamente significativos se incluían la buena relación paciente-médico (p=0,029) y el asesoramiento (p=0,037), un elevado nivel de HRQoL (p<0,001), y un elevado nivel de salud percibida (p<0,001). Los predictores de baja adherencia incluían el descenso de la memoria (p=0,002), bajo conocimiento de los medicamentos (p<0,001), y posponer las citas con el médico (p<0,001). El análisis multivariado reveló resultados similares. En la regresión lineal, el predictor más potente de no adherencia fue la falta de confianza en que el medicamento mejoraba la enfermedad (beta=0,279), sin embargo en la regresión logística, los pacientes que estaban dispuestos a doblar o saltarse la dosis en caso de mejora/empeoramiento aparecieron con 7,35 veces más probabilidad de ser no adherentes que los otros (ORa=0,136, 95%CI: 0,037-0,503). Conclusión: Los hallazgos de este estudio refuerzan el hecho de que los pacientes deben ser considerados como decisores activos. La educación de los pacientes debería ser considerada como un elemento clave del éxito del tratamiento. Deben realizarse estudios para probar la efectividad y práctica de las intervenciones propuestas para mejorar la adherencia (AU)