Patients with class 3 thalassemia with high-risk features for adverse events after high-dose chemotherapy with hematopoietic stem cell transplantation (HSCT) are difficult to treat, tending to either suffer serious toxicity or fail to establish stable graft function. We performed HSCT in 18 such patients age ≥7 years and hepatomegaly using a novel approach with pharmacologic immunoablation followed by a myeloablative reduced-toxicity conditioning regimen (fludarabine and i.v. busulfan [Flu-IV Bu]) and then HSCT. The median patient age was 14 years (range, 10 to 18 years). Before the Flu-IV Bu + antithymocyte globulin conditioning regimen, all patients received one to two cycles of immunosuppressive pharmacotherapy with fludarabine and dexamethasone. Thirteen patients received a related donor graft, and 5 received an unrelated donor graft. An initial prompt engraftment of donor cells with full donor chimerism was observed in all 18 patients, but 2 patients developed secondary mixed chimerism that necessitated withdrawal of immunosuppression to achieve full donor chimerism. Two patients (11%) had acute grade III–IV graft-versus-host disease, and 5 patients had limited chronic graft-versus-host disease. The only treatment-related mortality was from infection, and with a median follow-up of 42 months (range, 4 to 75), the 5-year overall survival and thalassemia-free survival were 89%. We conclude that this novel sequential immunoablative pre-transplantation conditioning program is safe and effective for patients with high-risk class 3 thalassemia exhibiting additional comorbidities.
Objective Juvenile-onset systemic lupus erythematosus (JSLE) is a complex and heterogeneous immune-mediated disease. Cellular components have crucial roles in disease phenotypes and outcomes. We aimed to determine the associations of lymphocyte subsets with clinical manifestations and long-term outcomes in JSLE patients. Methods A cohort of 60 JSLE patients provided blood samples during active disease, of whom 34 provided further samples during inactive disease. In a longitudinal study, blood samples were obtained from 49 of the JSLE patients at 0, 3, and 6 months. The healthy control (HC) group consisted of 42 age-matched children. Lymphocyte subsets were analyzed by flow cytometry. Results The percentages of CD4+ T, γδ T, and NK cells were significantly decreased in JSLE patients compared with HC, while the percentages of CD8+ T, NKT, and CD19+ B cells were significantly increased. The percentage of regulatory T cells (Tregs) was significantly lower in JSLE patients with lupus nephritis (LN) than in non-LN JSLE patients and HC. The patients were stratified into high and low groups by the median frequency of each lymphocyte subset. The γδ T cells high group and NK cells high group were significantly related to mucosal ulcer. The CD4+ T cells high group was significantly associated with arthritis, and the NKT cells high group was substantially linked with autoimmune hemolytic anemia. The CD8+ T cells low group was mainly related to vasculitis, and the Tregs low group was significantly associated with LN. The percentage of Tregs was significantly increased at 6 months of follow-up, and the LN JSLE group had a lower Treg percentage than the non-LN JSLE group. Predictors of remission on therapy were high Tregs, high absolute lymphocyte count, direct Coombs test positivity, and LN absence at enrollment. Conclusion JSLE patients exhibited altered lymphocyte subsets, which were strongly associated with clinical phenotypes and long-term outcomes.
Background. Since its initial appearance in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread globally. Wastewater surveillance has been demonstrated as capable of identifying infection clusters early. The purpose of this study was to investigate a quick and simple method to detect SARS-CoV-2 in wastewater in Thailand during the early stages of the second outbreak wave when the prevalence of the disease and the virus concentration in wastewater were low. Methods. Wastewater samples were collected from a hospital caring for patients with COVID-19 and from 35 markets, two of which were associated with recently reported COVID-19 cases. Then, samples were concentrated by membrane filtering prior to SARS-CoV-2 detection by RT-qPCR. Results. SARS-CoV-2 RNA was detected in the wastewater samples from the hospital; the Ct values for the N, ORF1ab, and S genes progressively increased as the number of patients admitted to the treatment floor decreased. Notably, the ORF1ab and S genes were still detectable in wastewater even when only one patient with COVID-19 remained at the hospital. SARS-CoV-2 RNA was detected in the wastewater samples from fresh market where COVID-19 cases were reported. Conclusions. Our findings suggest that wastewater surveillance for SARS-CoV-2 is sensitive and can detect the virus even in places with a high ambient temperature and relatively low prevalence of COVID-19.
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