ORCID Profile
0000-0003-0612-0655
Current Organisations
Western Sydney University
,
Universiti Teknologi MARA
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Publisher: Wiley
Date: 09-03-2021
DOI: 10.1111/ANAE.15458
Abstract: Peri‐operative SARS‐CoV‐2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS‐CoV‐2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre‐operative SARS‐CoV‐2 infection were compared with those without previous SARS‐CoV‐2 infection. The primary outcome measure was 30‐day postoperative mortality. Logistic regression models were used to calculate adjusted 30‐day mortality rates stratified by time from diagnosis of SARS‐CoV‐2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre‐operative SARS‐CoV‐2 diagnosis. Adjusted 30‐day mortality in patients without SARS‐CoV‐2 infection was 1.5% (95%CI 1.4–1.5). In patients with a pre‐operative SARS‐CoV‐2 diagnosis, mortality was increased in patients having surgery within 0–2 weeks, 3–4 weeks and 5–6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3–4.8), 3.9 (2.6–5.1) and 3.6 (2.0–5.2), respectively). Surgery performed ≥ 7 weeks after SARS‐CoV‐2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9–2.1)). After a ≥ 7 week delay in undertaking surgery following SARS‐CoV‐2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2–8.7) vs. 2.4% (95%CI 1.4–3.4) vs. 1.3% (95%CI 0.6–2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS‐CoV‐2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay.
Publisher: S. Karger AG
Date: 14-12-2022
DOI: 10.1159/000528656
Abstract: b i Introduction: /i /b Despite multiple studies having considered the role of dietary acid load (DAL) or the apolipoprotein B (ApoB) i EcoR1 /i rs1042031 polymorphism in diabetes, none have assessed their interplay effect on metabolic markers. Therefore, this study aimed to determine the interaction of i EcoR1 /i rs1042031 and DAL on metabolic markers among adults with type 2 diabetes mellitus (T2DM). b i Methods: /i /b 492 randomly selected in iduals with T2DM were recruited for this cross-sectional study. Dietary intake was evaluated by a validated food frequency questionnaire. DAL was assessed as net-endogenous acid production (NEAP) and potential renal acid load (PRAL). Real-time-PCR was used to genotype the i EcoR1 /i rs1042031 polymorphism. Metabolic markers were also assessed. The interaction effect of the polymorphism and DAL indexes was analyzed by analysis of covariance (ANCOVA). b i Result: /i /b The frequency of i EcoR1 /i rs1042031 genotypes was not different between dyslipidemic and normolipidemic participants ( i /i & #x3e 0.05). Among participants with dyslipidemia, those with the GG genotype and who consumed a higher level of NEAP had higher body mass index (BMI) ( i /i = 0.03) and waist circumference (WC i /i = 0.02). Moreover, triglyceride (TG) concentration ( i /i = 0.007), the LDL/HDL ratio ( i /i = 0.03), and the TG/HDL ( i /i = 0.03) ratio were significantly higher in A allele carriers with higher than the median intake of NEAP, in comparison with GG homozygotes. Finally, GA/AA carriers who had a higher intake of PRAL had a higher TG concentration ( i /i = 0.006) and TG/HDL ratio ( i /i = 0.01) compared to lower median intake in the dyslipidemia group. b i Discussion: /i /b In the dyslipidemic group, there was a higher TG concentration among in iduals with the GA/AA genotype and a higher intake of NEAP/PRAL. Also, in this group, a higher intake of NEAP may be considered as a risk factor for increased levels of BMI and WC among participants with the GG genotype.
Publisher: Oxford University Press (OUP)
Date: 24-03-2021
DOI: 10.1093/BJS/ZNAB101
Abstract: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. 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. 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. As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population.
Publisher: Informa UK Limited
Date: 20-12-2018
No related grants have been discovered for Ahmad Ramzi Yusoff.