ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

OBJECTIVE To establish a clinical comprehensive evaluation framework for direct oral anticoagulants （DOACs） in the prevention of cancer-associated venous thromboembolism （CAVTE）， providing a methodological reference for the rational prevention and treatment of CAVTE as well as for the formulation and adjustment of macro-management strategies for anticoagulant drugs. METHODS Through literature retrieval， evaluation indicators were collected and organized to establish a preliminary indicator pool. The selection of evaluation indicators was carried out through two rounds of Delphi surveys using average score of indicator importance≥3.5 and a coefficient of variation （CV） ＜0.25 as the screening criteria. Analytic hierarchy process （AHP） was employed to finalize the indicator weights. RESULTS The authority levels （C）r of the two rounds of expert consultations were 0.877 and 0.943， with CV of 0.24 and 0.18， respectively. The Kendall concordance coefficients were 0.331 and 0.535 （P＜0.05）. After expert validation， six primary indicators and forty-six secondary indicators were finalized for inclusion in the evaluation framework. The primary indicators and their weightings， ranked in descending order， were as follows：“ effectiveness” （38.86%）， “safety” （38.86%），“ cost-effectiveness” （10.67%），“ accessibility” （5.51%），“ suitability” （3.48%）， and “innovation” （2.64%）. The secondary indicators exhibited a weight range from 0.02% to 20.25%， with the top five secondary indicators being：“ incidence of intracranial hemorrhage” （20.25%）， “reduction in all-cause mortality” （15.29%）， “decrease in the incidence of pulmonary embolism” （8.82%）， “reduction in the incidence of deep vein thrombosis” （7.25%）， and “drug contraindications” （4.74%）. CONCLUSIONS This study has established an authoritative， scientific， and reliable comprehensive clinical evaluation framework for the use of DOACs in the prevention of CAVTE.

Tissue-resident memory T cells （T_RM cells） are a subset of memory T cells that reside in tissues， exhibit tissue specificity， and do not recirculate. When potential hazards threaten the liver， such as pathogen invasion （bacteria， viruses， etc.） and excessive autoimmune responses， T_RM cells are essential as the first line of immune defense， playing an important role in viral hepatitis， autoimmune liver disease， metabolic dysfunction-associated fatty liver disease， liver cirrhosis， and liver transplantation. Here， we present the immunophenotypes of T_RM cells in the liver and their surface markers and transcriptional profiles， aiming to clarify the role of T_RM cells in chronic liver diseases and explore their potential function as therapeutic targets in immunotherapy.

Sepsis-acquired weakness (SAW) is a common complication in critically ill patients, yet significant gaps remain in both mechanistic understanding and therapeutic interventions for this condition. SAW not only prolongs the duration of mechanical ventilation and hospitalization but is also closely associated with increased mortality. Even if these SAW patients survive, they often experience long-term physical dysfunction after hospital discharge, leading to diminished quality of life. Emerging evidence suggests that sustained mitochondrial dysfunction may constitute a pivotal pathophysiological basis for the development and progression of SAW, primarily encompassing five key aspects: dysregulated mitochondrial quality control (MtQC), impaired oxidative phosphorylation (OXPHOS), exacerbated oxidative stress, disrupted Ca²⁺; homeostasis, and their mediation of diverse myofiber injuries. This article systematically elucidates the central role of mitochondrial dysfunction in the pathogenesis of SAW. Furthermore, we explore potential therapeutic strategies targeting mitochondrial function, including mitigating mitochondrial oxidative stress, optimizing nutritional support, and supplementing with muscle-derived mesenchymal stem cells. These insights provide a critical theoretical framework for understanding SAW mechanisms and developing clinical interventions, with particular emphasis on the translational value of mitochondrial-targeted therapies in improving outcomes for septic patients.
Humans ; Sepsis/metabolism* ; Mitochondria/metabolism* ; Muscle Weakness/etiology* ; Oxidative Stress ; Oxidative Phosphorylation

OBJECTIVE To construct a predictive model for timely medication retrieval of outpatients， accurately identify high-risk patients with delayed medication retrieval， and provide data support for the development of differentiated registration strategies and resource optimization allocation in smart pharmacies. METHODS Based on 680 568 valid outpatient prescription records from January to March 2025 at the First Affiliated Hospital of Xi’an Jiaotong University， a dual-clustering analysis was conducted using K-means algorithm and Gaussian mixture model （GMM）. An adaptive threshold for medication retrieval time difference was determined by combining contour coefficients， and “timely medication retrieval” and “delayed medication retrieval” were divided to construct binary objective variables； six types of features were screened through a multi-method fusion strategy； the performance of 6 kinds of base learners and 4 kinds of ensemble learning models were evaluated from three dimensions： discrimination， overall performance， and calibration， and explanatory analysis of the models were conducted. RESULTS The results of the dual-clustering analysis showed that the silhouette coefficient of GMM was better than K-means （0.702 4 vs. 0.698 8）， and the final adaptive threshold was determined to be 49.82 min. Among the prescriptions included， 74.99% were for timely medication retrieval and 25.01% were for delayed medication retrieval. Among the 10 candidate models， the Stacking model performed the best， with an area under the test set curve of 0.954 4， F1 score of 0.942 4， accuracy of 0.911 5， Brier score of 0.066， and good discrimination and calibration. The explanatory analysis results of the model showed that its predictions were driven by multiple factors such as patient historical behavior， and diagnostic related characteristics. CONCLUSION This study constructed a timely medication retrieval prediction model for outpatients based on a two-stage adaptive threshold ensemble learning algorithm， which has high accuracy and stability， and can achieve dynamic judgment of patient medication retrieval behavior.

Objective: To investigate the efficacy and incidence of adverse reactions of therapeutic erythrocytapheresis in high altitude polycythemia (HAPC) population. Methods: A retrospective study was conducted on 243 HAPC patients who were either native residents or long-term workers in Xizang and underwent therapeutic erythrocytapheresis in the Chengdu Office Hospital of the People's Government of Xizang Autonomous Region from 2021 to 2023. A comparative study was carried out on the changes in blood routine, vital signs, skin color, serum iron metabolism data, and the incidence of adverse reactions before and after the procedure. Results: After erythrocytapheresis, significant decreases were observed in red blood cell (RBC) count (7.06±0.89×10 vs 6.08±0.93×10 /L, P<0.001], hemoglobin (HGB, 211.59±17.99 vs 182.76±19.83 g/L, P<0.001), hematocrit (Hct) [(65.30±6.45)% vs (55.56±8.12)%, P<0.001], serum iron (14.46±4.38 vs 11.77±3.78 μmol/L, P=0.003), total iron-binding capacity (126.62±4.47 vs 123.73±3.77 μmol/L, P=0.002), transferrin (1.88±0.41 vs 1.77±0.12 g/L, P=0.023), transferrin saturation [(11.32±3.11)% vs (9.43±2.78)%, P=0.004], serum ferritin (832.4±295.6 vs 665.3±249.2 ng/mL, P<0.001), systolic blood pressure (123.86±14.43 vs 118.51±13.68 mmHg, P<0.001) and diastolic blood pressure (81.68±9.54 vs 74.28±7.61 mmHg, P<0.001). In contrast, platelet count (Plt, 137.21±46.21 ×10 vs 147.94±50.66 ×10 /L, P<0.001) and oxygen saturation [(93.97±3.29)% vs (95.84±2.27)%, P<0.001] increased. No significant differences were found in white blood cell (WBC) count [5.35 (4.59, 6.44)×10 /L vs 5.43 (4.54, 6.53) ×10 /L, P=0.690], unsaturated iron-binding capacity (112.15±0.50 vs 111.96±0.25 μmol/L, P=0.074) and pulse rate (73.42±11.28 vs 73.19±7.18 beats/min, P=0.750). Furthermore, skin color of the face (conjunctiva, lips) and palms mitigated after therapeutic erythrocytapheresis, changing from purplish-red to red. The total incidence of adverse reactions during erythrocytapheresis was 13.98% (34/243), including citrate toxicity 12.75% (31/243), puncture site hematoma 0.82% (2/243) and blood volume imbalance 0.41% (1/243). Conclusion: Therapeutic erythrocytapheresis could rapidly decrease HCT, Hb, serum iron, transferrin and transferrin saturation levels in HAPC patients, with a low incidence of adverse reactions. Therefore, therapeutic erythrocytapheresis has broad clinical application prospects in Xizang Autonomous Region.

Objective To analyze the differences and connections between the current grading and classification methods for nuclear medicine workplaces, and to provide technical guidance for environmental impact assessments and technical reviews. Methods By comparing the objects, purposes, and computational approaches between the two methods, this article illustrates the usage of both methods through specific examples and analyzes the relationship between them. Results The two methods differed in objects, purposes, and computational approaches. The A, B, and C grading scheme was primarily used to establish the level of administrative supervision for an entire nuclear medicine workplace. In contrast, the I, II, and III classification system specifies the hardware facilities and engineering protection requirements of internal places or rooms. Conclusion These two methods are complementary and collectively provide a complete framework for the assessment of nuclear medicine workplaces.