Background:Owing to the shortage of hematopoietic stem cells from matched sibling donors (MSD) and matched unrelated donors (MUD), the number of patients undergoing haploidentical allogeneic hematopoietic stem cell transplantation (allo-HSCT) has rapidly increased. Despite a comparable overall survival (OS) and leukemia-free survival using this approach, some evidence suggests that haploidentical allo-HSCT recipients have a higher incidence of cytomegalovirus (CMV) infection, though this has not been clearly established. Methods:This study retrospectively compared the cumulative incidence of CMV DNAemia, 2-year OS, and leukemia-free survival rates in acute leukemia patients with MSD (n = 41), MUD (n = 18), and haploidentical donor allografts (n = 21). Results:The cumulative incidences of CMV DNAemia at day 180 in the MSD, MUD, and haploidentical groups were 39.0, 55.6, and 85.7%, respectively (P < 0.000). As less than 50% of patients in the MSD group were detected to have CMV DNAemia, the median time to CMV DNAemia detection in patients allografted with MSD could not be obtained. However, it was 42 and 29 days, respectively, for the MUD and haploidentical groups. Multivariate analysis revealed that haploidentical allo-HSCT (MSD vs. haploidentical: HR: 0.26; 95% CI: 0.09-0.78; P = 0.017) and age (HR: 1.03; 95% CI: 1.01-1.06; P = 0.011) increased CMV infection. Finally, MSD, MUD, and haploidentical allo-HSCT provided comparable 2-year OS rates (52.1%, 65.5%, and 65.6%; P = 0.425) and 2-year leukemia-free survival rates (67.1%, 68.3%, and 80.7%, P = 0.837). Conclusion:The CMV incidence was higher for haploidentical allo-HSCT than for MSD and MUD allo-HSCT; this could be explained by graft-versus-host disease prophylaxis by multiple immunosuppressants. K E Y W O R D Sallo-HSCT, haploidentical, cytomegalovirus, overall survival, leukemia-free survival

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Inflammation is highly prevalent among peritoneal dialysis (PD) patients. High-sensitivity C-reactive protein (hs-CRP) is the most widely used inflammatory marker in clinical medicine and is correlated with mortality in PD patients. Air pollution is associated with systemic inflammation. The aim of this cross-sectional study was to assess the role of air pollutants and other clinical variables on hs-CRP values in PD patients.We recruited a total of 175 patients who had been undergoing continuous ambulatory PD or automated PD for at least 4 months and regularly followed up. Air pollution levels were recorded by a network of 27 monitoring stations near or in the patients’ living areas throughout Taiwan. The 12-month average concentrations of particulate matter (PM) with an aerodynamic diameter of <10 and <2.5 μm (PM10 and PM2.5), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were included.In stepwise linear regression, after adjustment for related factors, white blood cell count (β: 0.27, 95% confidence interval [CI] [0.71, 2.11]) and CO level (β: 0.17, 95% CI [2.5, 21.32]) were positively associated with hs-CRP and serum albumin levels (β: −0.25, 95% CI [−13.69, −3.96]) and normalized protein nitrogen appearance (β: −0.18, 95% CI [−17.7, −2.51]) was negatively associated with hs-CRP. However, serum indoxyl sulfate and p-cresyl sulfate levels were not significantly associated with hs-CRP (P > 0.05).In PD patients, the environmental CO level was positively correlated with hs-CRP level.

Age ≥ 60 and stage III/IV are independent poor prognostic factors for PFS and OS. Early-stage ENKTL patients had good response to combined chemoradiotherapy with anthracycline-containing regimen but with a high relapse rate and short disease-free survival. Anthracycline-containing regimen in advanced stage had poor response and dismal outcome.

In patients undergoing peritoneal dialysis (PD), PD-related infection is a major cause of PD failure and hospital admission. Good air quality is required when dialysate exchange or exit site wound care is performed. To our knowledge, investigation of air pollution as a factor for PD-related infection in patients undergoing dialysis is limited. This study aimed to assess the effect of environmental particulate matter (PM) and other important risk factors on 1-year PD-related infection in patients undergoing PD.A total of 175 patients undergoing PD were recruited in this 1-year retrospective observational study. Differences in environmental PMs (PM10 and PM2.5) were analyzed with respect to the patients’ living areas. The patients undergoing PD were categorized into 2 groups according to PM2.5 exposure: high (n = 61) and low (n = 114). Demographic, hematological, nutritional, inflammatory, biochemical, and dialysis-related data were analyzed. Multivariate binary logistic and multivariate Cox regression analyses were used to analyze 1-year PD-related infection.A total of 175 patients undergoing PD (50 men and 125 women) were enrolled. Thirty-five patients had PD-related infection within 1 year. Multivariate Cox regression analysis showed that high environmental PM2.5 exposure (hazard ratio (HR): 2.0, 95% confidence interval [CI] [1.03–3.91]; P = .04) and female sex (HR: 2.77, 95% CI [1.07–7.19]; P = .03) were risk factors for 1-year PD-related infection.Patients undergoing PD with high environmental PM2.5 exposure had a higher 1-year PD-related infection rate than that in those with low exposure. Therefore, air pollution may be associated with PD-related infection in such patients.

Objectives Early mortality, defined as death within 120 days after initiated antitumor therapy, is an important issue especially for elder patients with B‐cell lymphoma. This study aimed to evaluate the clinical value of comprehensive geriatric assessment (CGA) in early mortality prediction in elderly patients with B‐cell lymphoma receiving immunochemotherapy. Methods Seventy‐six consecutive patients with newly diagnosed B‐cell lymphoma receiving immunochemotherapy from a medical center in Taiwan were prospectively enrolled. Patients were divided into fit (n = 49) and frail (n = 27) groups per pretreatment CGA for early mortality comparison. Results The early mortality rate in our patient cohort was 16% (n = 12): from 6% in patients with no CGA domain impairment to 43% in patients with ≥4 CGA domain impairment. The early mortality rate was 6% and 33% in fit and frail patients (odds ratio, 7.67; 95% CI, 1.86‐31.6; P = .005), respectively. Frailty was the significant predictor for early mortality in univariate and multivariate analysis. Conclusion In this study, the number of geriatric domain impairment is positively associated with the early mortality risk in elderly patients with B‐cell lymphoma. Therefore, CGA can help clinicians to identify the risk of early mortality in elderly patients and provide alternative treatment.

Background. Anemia and pancytopenia are not uncommon in patients with chronic kidney disease (CKD). Nevertheless, there is insufficient literature analyzing bone marrow pathology in patients with CKD or end-stage kidney disease (ESKD) receiving dialysis. Methods. This observational cohort study included 22 patients with ESKD and 23 patients with CKD that received bone marrow biopsy and aspiration at Chang Gung Memorial Hospital. Demographic, hematological, and biochemical data were collected at the time of bone marrow study for analysis. Results. Bone marrow aspiration demonstrated that patients with ESKD had a lower percentage of blasts than patients with CKD (0.52 ± 0.84 versus 1.06 ± 0.78 %, p = 0.033). Bone marrow biopsy revealed that the overall incidence of hypocellular bone marrow was 55.6%. Furthermore, patients with ESKD had higher proportion of hypocellular bone marrow than patients with CKD (72.7% versus 39.1%, p = 0.023). In a multivariate logistic regression model, it was revealed that ESKD status (odds ratio 9.43, 95% confidence interval 1.66–53.63, p = 0.011) and megakaryocyte count within bone marrow (odds ratio 0.48, 95% confidence interval 0.29–0.79, p = 0.004) were significant predictors for bone marrow hypocellularity. Conclusion. Bone marrow hypocellularity is common in patients with kidney dysfunction. Hypocellular marrow occurs more frequently in patients with ESKD than patients with CKD.

With lowering costs of sequencing and genetic profiling techniques, genetic drivers can now be detected readily in tumors but current prognostic models for Natural‐killer/T cell lymphoma (NKTCL) have yet to fully leverage on them for prognosticating patients. Here, we used next‐generation sequencing to sequence 260 NKTCL tumors, and trained a genomic prognostic model (GPM) with the genomic mutations and survival data from this retrospective cohort of patients using LASSO Cox regression. The GPM is defined by the mutational status of 13 prognostic genes and is weakly correlated with the risk‐features in International Prognostic Index (IPI), Prognostic Index for Natural‐Killer cell lymphoma (PINK), and PINK‐Epstein–Barr virus (PINK‐E). Cox‐proportional hazard multivariate regression also showed that the new GPM is independent and significant for both progression‐free survival (PFS, HR: 3.73, 95% CI 2.07–6.73; p < .001) and overall survival (OS, HR: 5.23, 95% CI 2.57–10.65; p = .001) with known risk‐features of these indices. When we assign an additional risk‐score to samples, which are mutant for the GPM, the Harrell's C‐indices of GPM‐augmented IPI, PINK, and PINK‐E improved significantly (p < .001, χ2 test) for both PFS and OS. Thus, we report on how genomic mutational information could steer toward better prognostication of NKTCL patients.