Factors associated with palliative care symptoms in cancer patients in Palestine

Abstract Palliative care is critical to redundancy in cancer patients seeking to improve their quality of life. Evaluation should be incorporated into clinical practice routines at all stages of cancer. The Edmonton Symptom Assessment System (ESAS) was used to rate the intensity of ten symptom evaluations designed and validated for cancer patients in various languages and cultures. Therefore, the study aims to assess the symptoms reported using ESAS scores to identify patients who would benefit from palliative care that can improve the integration of palliative care into standard cancer care at An-Najah National University Hospital (NNUH). A cross-sectional study was selected for 271 cancer patients using a convenience sampling method at NNUH. Demographic, clinical, and lifestyle characteristics are described. Furthermore, patients' moderate to severe symptoms (score > 4) were obtained using ESAS-R. The survey consisted of 271 patients, with a response rate of 95%. The average age of the patients was 47 ± 17.7 years, ranging from 18 to 84 years. The male-to-female ratio was approximately 1:1, 59.4% of the patients were outpatients, and 153 (56.5%) had hematologic malignancies. Fatigue (62.7%) and drowsiness (61.6%) were the most common moderate to severe symptoms in ESAS. Furthermore, pain (54.6%), nausea (40.2%), lack of appetite (55.0%), shortness of breath (28.5%), depression (40.6%), anxiety (47.2%) and poor well-being (56.5%) were reported. In conclusion, fatigue and drowsiness were the most reported symptoms according to the ESAS scale among cancer patients, while moderate to severe symptoms were reported in cancer patients using the ESAS. The ESAS is a functional tool for assessing cancer patients' symptoms and establishing palliative care services

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