Arabic translation and cultural adaptation of Liverpool Adverse Events Profile (LAEP) among a sample of epileptic older adults

Purpose: To validate and culturally adapt Liverpool Adverse Events Profile (LAEP) in Arabic among a sample of elderly patients with epilepsy.Methods: The face and content validity of the Arabic version of LAEP was ensured by a group of healthcare professionals. Undemented elderly patients (≥ 60 years) with seizure disorders, who are on a single antiepileptic drug (AED), were recruited from two tertiary care centers in Riyadh, Saudi Arabia. Factor analysis was performed to check the construct validity. The reliability was measured using Cronbach’s alpha method.Results: Seventy-four patients met the inclusion criteria and were interviewed. Most of the participants had generalized seizures (67.57 %), and were either illiterate or with elementary school education (62.16 %). Their mean age was 68.9 years, and 51.35 % were male. About two-thirds of the participants were on either carbamazepine or levetiracetam (66.22 %). Six factors were extracted from the Arabic version of LAEP. Cronbach’s alpha of the Arabic version of LAEP was 0.84. The mean overall LAEP score was 28.9.Conclusion: The Arabic version of LAEP demonstrates good validity and reliability. Similar studies should examine its validity and reliability among different epileptic patient populations.Keywords: Adverse drug event, Epilepsy, Older adults, Cronbach’s alpha, Liverpool Adverse Events Profile, Seizure disorders, Carbamazepine, Levetiraceta

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population