Matthewscummings3759

Ten percent of the patients endorsed symptoms indicative of a clinical level of depression. Medical comorbidities nor depression predicted cognitive impairment. These findings suggest that older adults candidates for HCT are at risk for cognitive impairment prior to transplant and thus cognition should be a consideration when developing treatment plans.The transplant outcomes of non-first-degree (NFD) related donors in haploidentical haematopoietic stem cell transplantation (haplo-HSCT) remain unclear. This multi-centre analysis compared NFD and first-degree (FD) related donors in haplo-HSCT using a low-dose anti-T-lymphocyte globulin/G-CSF-mobilised peripheral blood stem cell graft-based regimen. Ninety-nine patients (33 NFD; 66 FD) were included. All patients achieved myeloid and platelet engraftment. The 100-day cumulative incidence (CI) of aGVHD, 2-year CIs of relapse, cGVHD, and NRM, and 2-year probabilities of OS and GRFS were comparable between the two cohorts. In multivariate analysis, donor type (NFD vs. FD) had no impact on OS, PFS, GRFS, incidences of relapse, grade II-IV aGVHD or moderate-severe cGVHD. Older donor age was associated with a higher incidence of grade II-IV aGVHD (HR, 1.64, p = 0.03), moderate-severe cGVHD (HR, 1.92, p = 0.01) and worse GRFS (HR, 1.40, p = 0.02). A lower level of donor-recipient HLA matching was associated with a higher incidence of moderate-severe cGVHD (HR, 4.07, p = 0.02), and disease at complete remission was associated with better OS (HR, 0.21, p = 0.01) and PFS (HR, 0.3, p = 0.03). In conclusion, NFD donors may serve as feasible alternatives when FD donors are not available for haplo-HSCT.Identification of patients at risk of initial & recurrent cytomegalovirus (CMV) reactivation following allogeneic stem cell transplant (alloSCT) may help guide prophylactic strategies. T-cell receptor beta (TRB) deep sequencing was used to identify and enumerate the T-cell repertoire harbouring TRB sequences with annotated specificity to CMV (pubCMVrep), as well as the overall T-cell receptor (TCR) repertoire diversity at day +30 & day +60 post-alloSCT for 65 patients. T-cells harbouring TRB sequences with annotated specificity for CMV were identifiable in all patients. 56% of patients required CMV treatment and 23% of the cohort developed recurrent CMV. PubCMVrep size at day +30 was not associated with reactivation, however amongst patients with antecedent CMV viremia a low day +60 pubCMVrep was associated with a greater incidence of recurrent CMV (75% vs. 21%, HR 6.16, 95% CI 1.29-29.40, P = 0.0008). Moreover, patients with high pubCMVrep only developed recurrent CMV in the setting of GVHD. Low TCR diversity at day +30 was associated with a greater incidence of initial CMV reactivation (71% vs. 22%, HR 5.39, 95% CI 1.70-17.09, p = 0.0002). pubCMVrep and TCR diversity are promising biomarkers to identify patients at risk of initial & recurrent CMV who may benefit from novel prophylactic strategies.Biobanks are important infrastructures facilitating biomedical research. After a decade of rolling out such infrastructures, a shift in attention to the sustainability of biobanks could be observed in recent years. In this regard, an increase in the as yet relatively low utilisation rates of biobanks has been formulated as a goal. Higher utilisation rates can only be achieved if the perspectives of potential users of biobanks-particularly researchers not yet collaborating with biobanks-are adequately considered. AMG510 solubility dmso To better understand their perspectives, a survey was conducted at ten different research institutions in Germany hosting a centralised biobank. The survey targeted potential users of biobank services, i.e. researchers working with biosamples. It addressed the general demand for biosamples, strategies for biosample acquisition/storage and reasons for/against collaborating with biobanks. In total, 354 researchers filled out the survey. Most interestingly, only a minority of researchers (12%) acquired their biosamples via biobanks. Of the respondents not collaborating with biobanks on sample acquisition, around half were not aware of the (services of the) respective local biobank. Those who actively decided against acquiring biosamples via a biobank provided different reasons. Most commonly, respondents stated that the biosamples required were not available, the costs were too high and information about the available biosamples was not readily accessible. Biobanks can draw many lessons from the results of the survey. Particularly, external communication and outreach should be improved. Additionally, biobanks might have to reassess whether their particular collection strategies are adequately aligned with local researchers' needs.While genetic studies of epilepsies can be performed in thousands of individuals, phenotyping remains a manual, non-scalable task. A particular challenge is capturing the evolution of complex phenotypes with age. Here, we present a novel approach, applying phenotypic similarity analysis to a total of 3251 patient-years of longitudinal electronic medical record data from a previously reported cohort of 658 individuals with genetic epilepsies. After mapping clinical data to the Human Phenotype Ontology, we determined the phenotypic similarity of individuals sharing each genetic etiology within each 3-month age interval from birth up to a maximum age of 25 years. 140 of 600 (23%) of all 27 genes and 3-month age intervals with sufficient data for calculation of phenotypic similarity were significantly higher than expect by chance. 11 of 27 genetic etiologies had significant overall phenotypic similarity trajectories. These do not simply reflect strong statistical associations with single phenotypic features but appear to emerge from complex clinical constellations of features that may not be strongly associated individually. As an attempt to reconstruct the cognitive framework of syndrome recognition in clinical practice, longitudinal phenotypic similarity analysis extends the traditional phenotyping approach by utilizing data from electronic medical records at a scale that is far beyond the capabilities of manual phenotyping. Delineation of how the phenotypic homogeneity of genetic epilepsies varies with age could improve the phenotypic classification of these disorders, the accuracy of prognostic counseling, and by providing historical control data, the design and interpretation of precision clinical trials in rare diseases.