Nelsonpetty9085
Coronavirus disease 2019 (COVID-19) is currently under a global pandemic trend. The efficiency of containment measures and epidemic tendency of typical countries should be assessed. In this study, the efficiency of prevention and control measures in China, Italy, Iran, South Korea, and Japan was assessed, and the COVID-19 epidemic tendency among these countries was compared. Results showed that the effective reproduction number(Re) in Wuhan, China increased almost exponentially, reaching a maximum of 3.98 before a lockdown and rapidly decreased to below 1 due to containment and mitigation strategies of the Chinese government. The Re in Italy declined at a slower pace than that in China after the implementation of prevention and control measures. The Re in Iran showed a certain decline after the establishment of a national epidemic control command, and an evident stationary phase occurred because the best window period for the prevention and control of the epidemic was missed. The epidemic in Japan and South Korea reoccurred several times with the Re fluctuating greatly. The epidemic has hardly rebounded in China due to the implementation of prevention and control strategies and the effective enforcement of policies. selleck chemical Other countries suffering from the epidemic could learn from the Chinese experience in containing COVID-19.Background Based on favorable outcomes reported by experienced centers, perihilar cholangiocarcinoma (Ph-CCA) has become an accepted indication for liver transplantation (LT). What is less clear is if the reported outcomes have been reproduced nationwide in the US. Objective The aim of this study was to evaluate post-transplant outcomes in patients with Ph-CCA and to determine prognostic factors. Methods Patients who underwent LT with Model for End-stage Liver Disease exception scores for Ph-CCA between 2010 and 2017 were evaluated. Transplant centers were classified into well- and less-experienced groups Group 1 [well-experienced (≥ 6 LTs), 7 centers]; Group 2 [less-experienced ( less then 6 LTs), 23 centers]. Post-transplant mortality due to all-cause and recurrence of Ph-CCA were set as endpoints. Results Post-transplant outcomes were significantly better in Group 1 than in Group 2, with 1-, 3-, and 5-year patient survival rates of 91.8%, 56.9%, and 45.8%, versus 65.6%, 48.8%, and 26.0%, respectively. Group 2 showed a significantly higher risk of 1-, 3-, and 5-year all-cause mortality and 1-year mortality associated with Ph-CCA recurrence. Center experience was an independent risk factor for post-transplant mortality. In intention-to-treat analysis, a positive prognostic effect of LT was significant and LT decreased the mortality risk by 86% in the well-experienced group [hazard ratio (HR) 0.14, p less then 0.001], whereas this effect was not observed in the less-experienced group (HR 1.35, p = 0.47). Conclusions Risk of recurrence of malignancy and mortality was significantly higher in the less-experienced center group. Center effects on post-transplant outcomes in patients with Ph-CCA should be recognized, and the introduction of center approval for LT for Ph-CCA may be justified to achieve comparable outcomes between centers.Introduction Patients with intrahepatic cholangiocarcinoma (ICC) generally have a poor prognosis, yet there can be heterogeneity in the patterns of presentation and associated outcomes. We sought to identify clusters of ICC patients based on preoperative characteristics that may have distinct outcomes based on differing patterns of presentation. Methods Patients undergoing curative-intent resection of ICC between 2000 and 2017 were identified using a multi-institutional database. A cluster analysis was performed based on preoperative variables to identify distinct patterns of presentation. A classification tree was built to prospectively assign patients into cluster assignments. Results Among 826 patients with ICC, three distinct presentation patterns were noted. Specifically, Cluster 1 (common ICC, 58.9%) consisted of individuals who had a small-size ICC (median 4.6 cm) and median carbohydrate antigen (CA) 19-9 and neutrophil-to-lymphocyte ratio (NLR) levels of 40.3 UI/mL and 2.6, respectively; Cluster 2 (prperative selection and risk stratification of patients with ICC.Background Retrospective studies have reported that breast cancer patients who perceived more personal responsibility for the surgery decision were more likely to undergo aggressive surgery. We examined this in a prospective study. Methods 100 newly diagnosed breast cancer patients identified their decision- making role using the Patient Preference Scale. Chart review captured the initial surgery received. Patient decision role preference, role perception, role concordance, and provider role perception were compared with type of surgery to assess differences between mastectomy and lumpectomy groups and unilateral versus bilateral mastectomy. We compared type of surgery and patient role concordance. Satisfaction with Decision immediately after the visit, Decision Regret and FACT-B quality of life at 2 weeks and 6 months were assessed and compared with type of surgery. Results Patient decision role preference (p = 0.49) and perception (p = 0.16) were not associated with type of surgery. Provider perception of patient role was associated with type of surgery, with providers perceiving more passive patient roles in the mastectomy group (p = 0.026). Patient role preference varied significantly by stage of disease (= 0.024), with stage 0 (64%, N = 6) and stage III (60%, N = 6) patients preferring active roles and stage I (60%, N = 25) and stage II (52%, N = 16) patients preferring a collaborative role. Conclusions Patient role preference and perception were not associated with type of surgery, while provider perception of patient role was. Patient role preference varied by stage of disease. Further study is warranted to better understand how disease factors and provider interactions affect decision role preferences and perceptions and surgical choice. Trial registration The study was registered with clinicaltrials.gov (NCT03350854). https//clinicaltrials.gov/ct2/show/NCT03350854.