ObjectiveTo explore the differences in attention to the sub-dimensions of satisfaction with the quality of assistive devices among people with different self-care abilities in China, identify the key driving factors, and provide a basis for the precision design and service provision of assistive devices. MethodsBased on the 2023 national survey data, involving 14 030 people with functional impairments, self-care ability was taken as the core independent variable, eight sub-dimensions of satisfaction as dependent variables, and variables such as gender, age, educational level and residential type were controlled. Univariate analysis was performed using Chi-square test with Bonferroni correction, and a binary Logistic regression model was constructed to identify influencing factors. Meanwhile, reliability and validity tests, endogeneity tests (instrumental variable method and propensity score matching) and heterogeneity tests were conducted. ResultsAmong the eight satisfaction sub-dimensions, six presented significant inter-group differences, with Bonferroni correction (threshold = 0.00625). Following binary Logistic regression and endogeneity correction, significant inter-group heterogeneity was confirmed in dimensions such as size and shape. For the affordability dimension, the main effect of self-care ability was not statistically significant, yet prominent urban-rural heterogeneity was observed. Specifically, taking the fully independent (self-care) group as the reference, the fully dependent group attached significantly greater importance to safety (B = 0.253, P < 0.001), comfort (B = 0.153, P = 0.001) and ease of use (B = 0.316, P < 0.001); the partially dependent group showed the highest level of attention to lightweight (B = 0.094, P = 0.027) and durability (B = 0.254, P < 0.001); and the fully independent group demonstrated a relatively stronger preference for aesthetics. ConclusionStratified functional demands, driven by self-care ability, exist in the satisfaction of individuals with functional impairments with assistive devices in China. The policy formulation and product design of assistive devices should shift to a precision-oriented paradigm: prioritize the guarantee of safety, comfort and ease of use for fully dependent groups, optimize lightweight performance and durability for partially dependent groups, enhance aesthetics and social acceptance for fully independent groups, roll out price subsidy policies for urban price-sensitive groups, and strengthen the supply of core functional services for rural groups. This approach will comprehensively improve the adaptation effectiveness of assistive devices and the well-being of users.

Chronic myeloid leukemia (CML) is a malignant hematologic disorder caused by abnormal proliferation of hematopoietic stem cells. In recent years, while the application of tyrosine kinase inhibitors (TKIs) has significantly improved the prognosis of CML patients through in-depth exploration of pathogenesis of CML and advancements in targeted therapies, some patients still face challenges including drug resistance, disease relapse, and failure to achieve treatment-free remission. Imunotherapy, as a complementary or alternative strategy, holds significant potential for overcoming these limitations, and has gradually emerged as a critical research focus in CML treatment. This review aims to summarize the current research status and latest advances in immunotherapy for CML.

Objective: To develop a rapid quantification method for neutrophil extracellular traps (NETs) by quantifying neutrophils forming NETs (NETotic cells) on routine peripheral blood smears, and to evaluate the performance of an early warning model combining NETs with traditional coagulation indicators for risk of sepsis-induced coagulopathy (SIC) in septic patients. Methods: This prospective observational study was conducted in Wuxi People's Hospital Affiliated with Nanjing Medical University between May 2023 and May 2025. A total of 147 patients with sepsis (diagnosed based on Sepsis-3.0 criteria) who had not developed SIC [the international society on thrombosis and haemostasis (ISTH SIC score <4)] were enrolled. Blood samples were collected within 2 hours of admission. Neutrophil smudge cells (NETs%) were counted using an automated cell morphology analyzer. Serum levels of myeloperoxidase-DNA (MPO-DNA) complexes, circulating free DNA (cf-DNA) and sequential organ failure assessment (SOFA) scores were also determined. Based on progression to SIC (ISTH score ≥4) within 72 hours of admission, patients were categorized into a sepsis without SIC group (n=85) and a sepsis with SIC group (n=62). Risk factors were analyzed using binary logistic regression, receiver operating characteristic (ROC) curves were plotted, and the predictive value of NETs%, SOFA, and AT-Ⅲ for coagulation dysfunction was assessed. Results: The NETs% level was significantly higher in the sepsis with SIC group [8.50% (7.00, 11.50)] compared to both the healthy control group [1.00% (0.00, 2.00)] and sepsis without SIC group [4.40%(3.50, 6.50)] (P<0.01). NETs% was identified as an independent risk factor for SIC in sepsis patients. ROC analysis showed that the area under the curve (AUC) for predicting SIC was 0.90 for NETs%, 0.85 for MPO-DNA, and 0.79 for cf-DNA. The combined model of NETs% and SOFA score demonstrated the best performance, with an optimal cut-off value of 0.33, an AUC of 0.92, a sensitivity of 77%, and a specificity of 93%. Conclusion: NETs% shows promise as a novel biomarker for SIC. Peripheral blood smear morphology provides a simple, rapid, and cost-effective method for quantifying NETs%. NETs% enhances the early clinical identification of patients at high risk for SIC, and its combination with the SOFA score facilitates SIC prediction, offering a critical time window for initiating timely preventive interventions.