Reproducibility of cytological diagnoses in evaluating liquid cervical smears and immunocytochemical co-expression of p16/Ki-67 using manual and automatic methods

Aim. To assess the reproducibility of cytological diagnoses in evaluating liquid cervical smears and immunocytochemical co-expression of p16/Ki-67 using manual and automatic methods. Materials and methods. Cytological smears prepared using the liquid cytology method on the Becton Dickinson device (SurePath technology) were studied. An immunocytochemical study was carried out using a Ventana BenchMark Ultra automatic immunostainer with a commercial CINtec kit (determination of p16/Ki-67 co-expression). In total, 100 cytological slides (50 pairs of Pap-smears and immunocytochemical slides) were studied. The diagnostic kit was reviewed by five cytologists independently, and the cytologic slides were evaluated using four categories according to the Bethesda system (2014) and according to the categories of normal/abnormal. The co-expression of p16/Ki-67 was assessed per the manufacturer's recommendations (Roche) using the manual method (light microscope) and the automatic Vision Cyto Pap ICC system. Statistical processing of the results was performed using the SPSS software package version 26.0.0.0 with the calculation of the reproducibility indices of Cohen's kappa and Fleiss' kappa. Results. When assessing the reproducibility of four categories of cytological diagnoses according to the Bethesda system (2014), Cohen's kappa was 0.0480.265. The overall Fleiss' kappa between all cytologists was 0.103. When only two categories (normal/abnormal) were used, the reproducibility ranged from 0.058 to 0.377. When assessing the co-expression of p16 and Ki-67, Cohen's kappa reproducibility was from 0.196 to 0.574, while the overall Fleiss' kappa was 0.407. When comparing the evaluation results of each of the cytologists with the neural network, Cohen's kappa reproducibility ranged from 0.103 to 0.436. Conclusion. The reproducibility of cytological diagnoses according to the Bethesda system (2014) and two categories (normal/abnormal) based on the Pap smear study was low. Such results are primarily due to a large number of abnormal smears in the study. The immunocytochemical method has diagnosis reproducibility three times higher, indicating the need to measure the co-expression of p16 and Ki-67 to increase the sensitivity and specificity of the cytological method. Similar reproducibility when comparing the manual and automatic evaluation of the "double label" suggests that the neural network algorithm can currently help in decision support rather than replace the cytologist at the diagnostic stage

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.The aim of this study was to inform vaccination prioritization by modelling the impact of vaccination on elective inpatient surgery. The study found that patients aged at least 70 years needing elective surgery should be prioritized alongside other high-risk groups during early vaccination programmes. Once vaccines are rolled out to younger populations, prioritizing surgical patients is advantageous