Targeting CD38 with daratumumab for platelet transfusion refractoriness in aplastic anemia.

We found that 8 of 10 patients with aplastic anemia experienced resolution of platelet transfusion refractoriness following daratumumab administration. Notably, 4 responders achieved hematopoietic recovery, including 3 participants who showed improvements in multilineage blood cell counts, even with daratumumab monotherapy. This trial was registered at www.

Cost utility analysis of adult patients with severe aplastic anemia: a single-center study.

Objective: There is a need for real-world studies in China to help address evidence gaps supporting precise clinical decision-making with respect to the ideal treatment options for patients with severe aplastic anemia (SAA). Accordingly, we objectively evaluated the efficacy of cyclosporine A (CsA) + antilymphocyte globulin (ALG) versus CsA + thrombopoietin receptor agonist (TPO-RA) for such patients.

Methods: A cost-utility analysis (CUA) was conducted to compare the quality-adjusted life years (QALY) and total costs associated with the two treatment regimens.

KLRG1 re-defines a leukemic clone of CD8 effector T cells sensitive to PI3K inhibitor in T cell large granular lymphocytic leukemia.

T cell large granular lymphocytic leukemia (T-LGLL) is a clonal lymphoproliferative disorder, originated from mature effector memory CD8 T cells. It is a challenge to define the leukemic T cell clones due to the lack of definite markers. Here, we decipher the heterogeneity of CD8 T cells using cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) and T cell receptor (TCR) profiling in T-LGLL patients.

Heterogeneity in Health-Related Quality of Life of Patients with Aplastic Anemia: A Latent Profile Analysis.

Purpose: Concerns over health-related quality of life (HRQOL) in patients with aplastic anemia (AA) have been increasing worldwide. However, most researches on HRQOL in AA patients have ignored individual-level variability. Thus, our study was designed to explore practical classification of HRQOL and related variables among AA patients.

Azacitidine in combination with HAG for newly diagnosed and relapsed/refractory AML: a prospective cohort study.

While Azacitidine combined with HAG (HHT, low-dose cytarabine, G-CSF) regimen has shown promise in treating older and unfit patients with acute myeloid leukemia (AML), its efficacy in younger patients remains understudied. This study evaluates the effectiveness and safety of Azacitidine combined with the HAG regimen in a broader patient cohort, including newly diagnosed and relapsed/refractory AML patients. This single-center, prospective cohort included patients with acute myeloid leukemia admitted to our center from June 2019 to Oct 2022 for induction chemotherapy with the HAGA regimen (Azacitidine combined with HAG).

Evaluation of lifestyle behaviors, anxiety and depression in patients with hematologic disorders.

Patients with hematologic disorders may experience anxiety and depression due to their immunocompromised status and potential side effects of therapies. Healthy lifestyle behaviors might enhance the mental health. To evaluate the association of both separate and clustering pattern lifestyle behaviors with anxiety and depression in hematological patients, healthcare providers can develop future initiatives that respond to the specific needs of this population.

Association of lifestyle behaviors with health-related quality of life among patients with hematologic diseases.

Purpose: Health-related quality of life (HRQoL) is a multi-dimensional construct used to assess the impact of health status on quality of life, and it is known to be affected by lifestyle behaviors. This study focused on multiple lifestyle behaviors among patients with hematologic diseases, including physical activity, dietary intake, sleep quality, occupational exposure, alcohol consumption and smoking. The main objective was to investigate the association of both individual and clustering of health behaviors with HRQoL among the population with hematologic diseases based on a comprehensive lifestyle survey.

Acne detection and severity evaluation with interpretable convolutional neural network models.

Background: Acne vulgaris is one of the most prevalent skin conditions, which harms not only the patients' physiological conditions, but also their mental health. Early diagnosis and accurate continuous self-monitoring could help control and alleviate their discomfort.

Objective: We focus on the development and comparison of deep learning models for locating acne lesions on facial images, thus making estimations on the acne severity on faces via medical criterion.