Analysis of Prognostic Factors and Treatment Modes of Patients with Recurrent Endometrial Carcinoma

Objective. Recurrence of endometrial cancer after initial treatment can be complex and difficult to treat. The current main treatment modalities for patients with recurrent endometrial cancer (REC) include chemotherapy, radiotherapy, and surgery, which vary according to the individual patient. However, REC is often associated with a poor prognosis, and it is therefore important to investigate the risk factors affecting REC prognosis and to explore appropriate treatment modalities to improve the prognosis and treatment strategies for patients with REC. Methods. Totally, 100 patients with REC admitted to our hospital from January 2013 to January 2018 were chosen to be research objects. Their pathological data were analyzed, including age, disease-free interval (DFI), recurrence site, and treatment plan after relapse (definitive local therapy (DLT) and palliative chemotherapy (PC)). According to these parameters, univariate and multivariate factors affecting the prognosis of REC patients and the curative effect of PC were analyzed, and the 3-year overall survival (OS) curve and progression-free survival (PFS) curve were drawn. Results. After 3 years of follow-up, 30 patients had a poor prognosis and 70 had a good prognosis, according to which a single multifactorial analysis was performed for different prognoses, where the results of the single-factor analysis showed significant differences between patients with different prognoses in terms of pathomorphology, pathological grading, TFI, and treatment modality after relapse. Further multifactorial analysis showed that TFI and treatment modality after recurrence were independent factors affecting poor prognosis in REC patients. The 3-year OS and 3-year PFS of REC patients were 74.00% and 70.00%, respectively. Patients whose DFI was less than 12 months or treated with PC after relapse were notably associated with lower levels of 3-year OS and 3-year PFS. In addition, radiotherapy and chemotherapy, DFI, and chemotherapy plan after primary surgery were independent risk factors that affected the PC efficacy of REC patients. Conclusion. DFI and treatment mode after relapse are independent factors affecting the prognosis of REC patients. DLT can obviously improve the prognosis of REC patients. For patients who can only choose PC, chemoradiotherapy and DFI after primary surgery are helpful to predict the chemotherapy effect, and the combination of paclitaxel and platinum drugs should be the first choice for chemotherapy.

A Multi-Factorial Review of Repowering Wind Generation Strategies

The integration of renewables into power systems is a key transformation for mitigating climate change and reducing fossil-fuel dependence. Among the different resources, wind participation has become crucial in recent decades—both onshore and offshore wind power plants. However, assuming the useful life of the wind turbines at approximately 20 years, different solutions should be discussed to overcome the turbine’s aging problem. In the coming years, some countries within the wind sector will face the decision of partially or totally repowering or dismantling their turbines. This paper reviews different repowering strategies and contributions from a multifactorial perspective. A set of categories is defined by the authors and those multifactorial parameters are then classified according to such categories: technical, economic, environmental, social, and political. From each category, the most relevant factors to be considered for repowering decision-making purposes are identified and discussed. According to the specific literature, more than 90% of the reviewed contributions are focused on onshore wind power plant repowering actions. This percentage is in line with onshore and offshore wind generation units installed in recent decades. The reviewed studies show that Germany has a major number of contributions. Regarding offshore repowering strategies, all contributions propose a multifactorial analysis, in contrast to onshore repowering strategies where only 68% of the authors carry out a multifactorial analysis. The revised repowering methodologies and the categorization of factors can also be used by the repowering market, as a useful tool in the near future.

Surgical Risk Factors for Ischemic Stroke Following Coronary Artery Bypass Grafting. A Multi-Factor Multimodel Analysis

Graphical AbstractFactors increasing post CABG incidence of ischemic stroke (red) and those which were not significant at the multi-model multifactorial analysis that analyzed all technical factors alone or in different combinations (green).

A multifactorial analysis of differential agent marking in Herodotus

Passive agents in ancient Greek exhibit a well-known alternation between dative case and prepositional phrase. It has long been recognized that grammatical aspect plays a crucial role in this alternation: dative agents preponderate among aspectually perfect predicates, prepositional phrase agents elsewhere. Although the importance of grammatical aspect is undeniable, it is not the only factor that determines the realization of passive agents. The identification of other factors has proven challenging, however, not least because previous researchers have lacked methods for assessing the relative importance of the determinants that influence the realization of agent phrases. In this paper, I use Bayesian mixed-effects logistic regression to provide a multifactorial account of differential agent marking in Herodotus, according to which the realization of passive agent phrases is conditioned by the relationship between semantic role and referential prominence (Haspelmath 2021). Dative agents are favored in clauses where semantic role and referential prominence are aligned (i.e., the agent is referentially prominent or the patient is referentially non-prominent). By contrast, prepositional phrase agents are more likely when semantic role and referential prominence are at odds (i.e., the patient is referentially prominent or the agent is referentially non-prominent).

Multifactorial SARS-CoV-2 seroprofiling dissects interdependencies with human coronaviruses and predicts neutralization activity

Definition of SARS-CoV-2 antibody responses is essential to verify protective immunity following infection and vaccination. Here, we devised a versatile serological test, named ABCORA, that is based on a multifactorial analysis of SARS-CoV-2 and circulating human coronavirus (HCoV) antibody responses. Utilizing empirical tailored cut-offs and computational approaches based on training and validation cohorts comprising pre-pandemic (N=825) and SARS-CoV-2 infected plasma donors (N=389), we defined several analysis strategies that allow a highly accurate definition of SARS-CoV-2 seroconversion and prediction of neutralization activity. Intriguingly, HCoV reactivity was significantly higher in SARS-CoV-2 negative donors. Amongst SARS-CoV-2 infected individuals, elevated SARS-CoV-2 responses were linked to higher HCoV activity suggesting that pre-existing HCoV immunity may confer protection against SARS-CoV-2 acquisition and promote development of SARS-CoV-2 specific antibody responses. Deciphering interdependencies between SARS-CoV-2 and HCoV immunity should be enforced as understanding their impact on infection may allow soliciting cross-protective activities for broader coronavirus prevention.