ABSTRACT
Objectives: Varenox is the first locally manufactured and approved biosimilar in Algeria. It is an enoxaparin sodium (ES) with established good analytical characterization and manufacturing quality control. The aim of the PROPHYVAR study was to generate real-life data in routine practices and to assess the safety and tolerability in the prophylaxis of venous thromboembolism (VTE). Method(s): This is an observational, prospective, multicenter study, conducted between April 2021 and May 2022. The primary safety outcome was the incidence of Adverse Events (AEs) related to the study drug. A sample size of 500 patients was calculated to estimate the proportion of patients with AEs. Assuming that approximately 10% will be lost to follow-up or not evaluable, 550 patients were needed to describe the impact of Varenox use. Result(s): The study was conducted in 25 different sites in Algeria, in 4 therapeutic areas: ICU, orthopedic surgery, obstetrics and nephrology;550 patients were included and received at least one injection of Varenox. The mean age was 47 years, women in majority (62.5%). The patients were overweight or obese (53%), with a history of arterial hypertension (25%), diabetes (7.5%) and renal failure (6.4%). Reasons for hospitalization were mainly fracture (15.5%), pregnancy (8.3%), COVID-19 (7%) or cancer (7%). The majority of patients were treated at prophylactic dose of 0.4ml (80%) or 0.6ml (10%). The median duration of follow-up was 24 days. A total of 38 patients experienced at least one AE (6.9%, CI95=[4.9%;9.4%]). Related AEs were reported in 10 patients (1.8%), mainly in nephrology (N=7 arterio-venous fistula). VTE events were reported in 6 patients (1.1%, CI95=[0.2%;2%]). Conclusion(s): This study suggests that Varenox is safe in the prophylaxis of VTE. To our knowledge this is the first large study describing the use of ES in current medical practice in Algeria.Copyright © 2023
ABSTRACT
From late November 2019 until today, the Coronavirus (COVID19) has been circulating worldwide on a broad scale. The World Health Organization agrees that this is the world's most serious outbreak in the last twenty years. Algeria is no exception;although the relatively early precautions taken by the Algerian government, especially the national lockdown, the spread of Coronavirus has attained all cities. This study aims at clarifying how COVID-19 has spread in Algeria so fast in a short time and perform an intelligent system to predict confirmed, deaths, recovered, and active cases. This paper presents firstly a comprehensive analytics study on the spread of the pandemic to understand the COVID19 evolution in Algeria. Secondly, a predictive model based on a Long Short Term Memory Network is proposed and studied to estimate the future number of confirmed, deaths, recovered, and Active cases. © 2022 IEEE.