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New desensitization strategies have made ABO-incompatible living donor liver transplant an attractive option for patients with end-stage liver disease. We aimed to report our experience with 20 consecutive patients who underwent ABO-incompatible living donor liver transplant using a simplified desensitization and immunosuppression regimen.

We retrospectively analyzed 20 ABO-incompatible living donor liver transplant cases (August 2015 to July 2019). The ABO-incompatible living donor liver transplant protocol involved rituximab administration (375 mg/m2 body surface area) at 2 to 3 weeks before transplant, subsequent plasma exchanges (target isoagglutinin titer of ≤18), basiliximab administration (20 mg on day of surgery and on postoperative day 4), and intravenous immunoglobulin administration (2 g/day from day of surgery to postoperative day 7). No graft local infusion therapy or splenectomy was performed.

The living donor liver transplant procedure involved a modified rightlobe graft(18 patients), a r rejection and other complications.

This ABO-incompatible living donor liver transplant protocol with rituximab, plasma exchange, low-dose intravenous immunoglobulin, and immunosuppression (equivalent to ABO-compatible living donor liver transplant) could be a safe and effective way to overcome antibody-mediated rejection and other complications.

COVID-19 has emerged as a global pandemic with significant impacts on health care systems. The present study was conducted to analyze the effects of the COVID-19 pandemic on nephrology and transplant services and clinical training at our center.

This observational study was conducted at the Institute of Kidney Disease and Research Centre (Ahmedabad, India). Our institute is one of the largest tertiary care centers of its kind in India with around 400 total inpatient beds for nephrology, urology, and transplant patients. In 2019, our center had annual outpatient and inpatient numbers of 132 181 and 7471, respectively, and conducted 412 renal transplant procedures. For this study, monthly data on number of outpatients, inpatients, and patients undergoing renal transplant, as well as various nonelective procedures, conducted in 2019 and 2020 were collected and analyzed. We investigated the impact of the COVID-19 pandemic on various non-COVID-19-related health care facilities and on clinical training and resetrategic scheme is needed to develop new health care models that can help manage the COVID-19 pandemic at present and any further waves arising in the future.

The objective of the present report was to analyze the opinions, attitudes, and practices of Baskent University students with regard to the impact of religion on organ donation and transplantation.

We sent a web-based, 5-point Likert scale questionnaire (1 strongly disagree; 5 strongly agree) to capture the opinions and attitudes toward organ donation and transplantation after participants attended or did not a panel discussion on these topics.

We sent 361 E-mails and received 69 responses, of which 46 students attended the panel discussion. Most of the participants who attended were part of the faculty of medicine. Participants who did not attend were composed of students from other faculties at Baskent University. Religion played less of a role with regard to opinions on organ donation in those who did not attend. Of the attendees, 54.3% strongly agreed to become organ donors, 50% believed in the important role of religion in organ donation, and 54.3% believed that media sources play important roles in shaping public opinion on organ donation. The majority felt comfortable discussing organ donation with family and friends.

Although religion has an undeniable effect on the decision-making process, our survey showed that more than half of the participants were willing to become organ donors. Education, through the joint efforts of medical and religious scholars, as well as the media, should contribute to raising awareness on organ donation, thus contributing to increased access to transplantation worldwide.

Although religion has an undeniable effect on the decision-making process, our survey showed that more than half of the participants were willing to become organ donors. Education, through the joint efforts of medical and religious scholars, as well as the media, should contribute to raising awareness on organ donation, thus contributing to increased access to transplantation worldwide.The aim of this research was to verify the effect of glyphosate low doses on leaf macronutrient levels and vegetative traits of upland rice in two growth stages. The treatments were arranged in 2 × 6 factorial scheme. The first factor consisted of applications in two growth stages of rice crop (tillering and floral differentiation) and the second factor was the low doses of glyphosate (0, 10, 20, 40, 70 and 100 g e.a. ha-1). In full bloom, the chlorophyll content was determined in a sample of 30 flag leaves. In these leaves, the contents of macronutrients were determined. At the maturity of the rice plant, the stem count was performed per m2, effective tiller and the plant height was measured. The low doses did not influence the leaf content of macronutrients. The plant height was reduced with an increase in the low doses of glyphosate, having a greater effect on the floral differentiation stage. When applied low doses of glyphosate at the floral differentiation stage, chlorophyll content increases and when applied to tillering there is a linear decrease in chlorophyll content. The number of stems increases with the application of low doses at floral differentiation.In modeling many longitudinal count clinical studies, the excess of zeros is a common problem. To take into account the extra zeros, the zero-inflated power series (ZIPS) models have been applied. These models assume a latent mixture model consisting of a count component and a degenerated zero component that has a unit point mass at zero. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes. For example, in a study about acute renal allograft rejection, the number of acute rejection episodes for a patient in current time is a function of this outcome at previous follow-up times. In this paper, we consider a transition model for accounting the dependence of current outcome on the previous outcomes in the presence of excess zeros. New variable selection methods for the ZIPS transition model using least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalties are proposed. read more An expectation-maximization (EM) algorithm using the penalized likelihood is applied for both parameters estimations and conducting variable selection. Some simulation studies are performed to investigate the performance of the proposed approach and the approach is applied to analyze a real dataset.Research on social public opinion of new media is currently an important interdisciplinary topic in the international academic community. Under the background of COVID-19, the major public health event of in China, this research took social workers as the research object who worked during the period of epidemic prevention and control. It referred to the international research on public opinion and selected 63 related hotly discussed articles and public comments on the WeChat public platform, the new Chinese Internet media. Moreover, the research conducted text mining on related public opinion with the 5 W communication model from public opinion evolution, text content, communication media, audiences, and public opinion influence, and used grounded theory building a development model of the generation of network public opinion. It also put forward the development needs of social work in the aspects of community resilience, social work practice, lack of public health social workers, and big data warning, etc., and pointed out that social work lacks its proper structural status in China's public health system and emergency management system.

Acute oncology services (AOS) provide rapid review and expedited pathways for referral to specialist care for cancer patients. Blood tests may support AOS in providing estimates of prognosis. We aimed to develop and validate a prognostic model of 30-day mortality based on routine blood markers to inform an AOS decision to actively treat or palliate patients.

Using clinical data from 752 AOS referrals, multivariable logistic regression analysis was conducted to develop a 30-day mortality prognostic model. Internal validation and then internal-external cross-validation were used to examine overfitting and generalizability of the model's predictive performance.

Urea, alkaline phosphatase, albumin and neutrophils were the strongest predictors of outcome. The model separated patients into distinct prognostic groups from the cross-validation (C Statistic 0.70; 95% CI 0.64-0.76). Admission year was included as a predictor in the model to improve the model calibration.

The developed prediction model was able to classify patients into distinct prognostic risk groups, which is clinically useful for delivering an evidence-based AOS. Collation of data from other AOS centers would allow for the development of a more generalizable prognostic model.

The developed prediction model was able to classify patients into distinct prognostic risk groups, which is clinically useful for delivering an evidence-based AOS. Collation of data from other AOS centers would allow for the development of a more generalizable prognostic model.Epidermal growth factor receptor (EGFR)-targeted cancer therapy such as anti-EGFR monoclonal antibodies and tyrosine kinase inhibitors have demonstrated clinical efficacy. However, there remains a medical need addressing limitations of these therapies, which include a narrow therapeutic window mainly due to skin and organ toxicity, and primary and secondary resistance mechanisms of the EGFR-signaling cascade (e.g., RAS-mutated colorectal cancer). Using the redirected optimized cell killing (ROCK®) antibody platform, we have developed AFM24, a novel bispecific, IgG1-scFv fusion antibody targeting CD16A on innate immune cells, and EGFR on tumor cells. We herein demonstrate binding of AFM24 to CD16A on natural killer (NK) cells and macrophages with KD values in the low nanomolar range and to various EGFR-expressing tumor cells. AFM24 was highly potent and effective for antibody-dependent cell-mediated cytotoxicity via NK cells, and also mediated antibody-dependent cellular phagocytosis via macrophages in vitro. wth factorEGFR epidermal growth factor receptor; ELISA enzyme-linked immunosorbent assay; FACS fluorescence-activated cell sorting; Fc fragment, crystallizableFv variable fragment; HNSCC head and neck squamous carcinomaIL interleukinm; Ab monoclonal antibody; MOA mechanism of action; NK natural killer; NSCLC non-small cell lung cancer; PBMC peripheral blood mononuclear cell; PBS phosphate-buffered saline; PD pharmacodynamic; ROCK redirected optimized cell killing; RSV respiratory syncytial virus; SABC specific antibody binding capacity; SD standard deviation; TAM tumor-associated macrophage; TKI tyrosine kinase inhibitor; WT wildtype.