Synthesis and characterization of Schiff-base complexes as medical imaging precursors

Schiff-base compounds have been utilized in the medical field as antibiotics, antifungal, anti-inflammatory and antiviral agents. The presence of nitrogen, oxygen and sulphur atoms in chelating Schiff-base compounds showed great biological activities. Furthermore, their derivative metal complexes have exhibited greater effects in many reported cases. Some Schiff-base complexes have been reported as medical imaging agents. The aim of my work is to synthesis novel Schiff base ligands and their metal derivatives that have the potential to be used as medical imaging precursors. A novel macrocyclic Schiff-base ligand was developed from 3,5- diformyl-4-hydroxybenzoic acid and 2,2’-oxydianiline. Also, a novel crystal structure for a known macrocyclic Schiff-base was synthesized from 2,2’-oxydianiline and 4-tert-butyl-2,6-diformylphenol. Finally, a novel copper Schiff-base complex synthesized

Examining Saudi Physicians’ Approaches to Communicate Bad News and Bridging Generational Gaps

Breaking bad news is an intrinsic aspect of physicians’ clinical practices. This study aims to investigate how Saudi physicians manage the process of communicating bad news and explore potential differences in breaking bad news practices between young physicians (interns) and their older colleagues. From 1 March to 15 April 2023, ok an anonymous online cross-sectional survey was conducted to explore the communication practices of Saudi physicians concerning breaking bad news using the Communicating Bad News Questionnaire. The physicians were recruited through convenience and snowball sampling methods, and the survey questionnaire was distributed on various social media platforms, including Facebook, Twitter, LinkedIn, and WhatsApp. Data were analyzed using R version 4.2.1. A total of 782 physicians were included in this study. Male physicians represented 50.9% of the participants. Three-quarters (74.7%) were aged 25–30 years. The largest proportion of physicians (45.3%) were interns, followed by junior residents (22.9%), senior residents (11.0%), and specialists (6.5%). The median years of experience was 1.0, ranging from 0 to 45 years. Regarding the place of work, most physicians (86.6%) worked in hospitals, while 13.4% worked in primary healthcare centers. A total of 14.8% said they were not comfortable with discussing patients’/relatives’ issues (20.60 among interns vs. 10.50% among non-interns, χ2 = 27.50, p = 0.0001), 66.6% reported being trained to break bad news (59.60% among interns vs. 72.40% among non-interns, χ2 = 14.34, p = 0.001), 59.1% reported breaking bad news to the patient, 37.9% reported to the family, and 3.1% reported to both, with no significant difference between interns and non-interns. A substantial proportion of physicians reported feeling uncomfortable discussing sensitive issues with patients and their relatives despite having received training to deliver bad news and being willing to communicate bad news directly to patients. Notably, our analysis identified a significant disparity between intern and non-intern physicians, particularly in terms of their comfort level in addressing patient-related concerns and access to breaking bad news training

The rate of ward to intensive care transfer and its predictors among hospitalized COPD patients, a retrospective study in a local tertiary center in Saudi Arabia

Abstract Objective To investigate the prevalence of intensive care unit (ICU) admission and its predictors among hospitalized chronic obstructive pulmonary disease (COPD) patients. Methods An observational retrospective study was conducted. All patients with a confirmed diagnosis of COPD according to the GOLD guidelines between 28 and 2020 and 1 March 2023 at Al-Noor Specialist Hospital were included in this study. Patients were excluded if a preemptive diagnosis of COPD was made clinically without spirometry evidence of fixed airflow limitation. Descriptive results were presented as frequency (percentage) for categorical variables and mean (SD) for continuous variables and to estimate prevalence of ICU admission. Predictors of ICU admission among hospitalized COPD patients were determined using logistic regression analysis. A SPSS (Statistical Package for the Social Sciences) version 25 was used to perform all statistical analysis. Results A total of 705 patients with COPD were included in this study. The mean age was 65.4 (25.3) years. Around 12.4% of the hospitalized patients were admitted to the ICD. Logistic regression analysis identified that older age (OR; 1.92, (1.41–2.62)), smoking (OR; 1.60 (1.17–2.19)), and having specific comorbidities (Hypertension (OR; 1.98 (1.45–2.71)), Diabetes mellitus (OR; 1.42 (1.04–1.93)), GERD (OR; 2.81 (1.99–3.96)), Ischemic heart disease (OR; 3.22 (2.19–4.75)), Obstructive sleep apnea syndrome (OR; 2.14 (1.38–3.33)), stroke (OR; 4.51 (2.20–9.26))) were predictors of ICU admissions among patients with COPD. Conclusions Our study found that a step-up approach to inpatient COPD management requires admission to the ICU in 12.4%, for which age, smoking status, cardiovascular, and stroke were important predictors. Further clinical research is needed to provide a validated model that can be incorporated into clinical practice to monitor this patient population during their admission and identify at-risk individuals for early transfer to higher acuity settings and intensive care units

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