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.

OBJECTIVE To analyze the chemical constituents of the active parts of Piper wallichii. METHODS The petroleum ether-extract fraction was prepared from the methanol extract of P. wallichii. Separation and purification were performed using semi-preparative high-performance liquid chromatography. The structures of the compounds were identified by nuclear magnetic resonance spectroscopy. RESULTS Nineteen compounds were isolated from the petroleum ether-extract fraction from the methanol extract of P. wallichii， identified as 3-acetoxybenzyl benzoate （1）， 2-acetoxybenzyl benzoate （2）， 2-methoxybenzyl benzoate （3）， 3-methoxybenzyl benzoate （4）， 4-hydroxy-3-methoxybenzyl benzoate （5）， 3-hydroxybenzyl benzoate（6）， benzyl benzoate （7）， ganschisandrine （8）， lancifolin A （9）， （7R，8R，3′R）-7-acetoxy-3′，4′-dimethoxy-3，4-methylenedioxy-6′-oxo- Δ1′，4′，8′-8.3′-lignan （10）， （7S，8R，3′S）-Δ8′-3′，6′-dihydro-3′-methoxy-3，4-methylenedioxy-6′-oxo-8.3′，7.O.4′-lignan （11）， （7R， 8R，3′S）-Δ8′-3′，6′-dihydro-3′-methoxy-3，4-methylenedioxy-6′-oxo-8.3′，7.O.4′-lignan （12）， isodihydrofutoquinol A （13）， licarin A （14）， licarin B （15）， 2-（2′，5′-dimethoxyphenyl）-3，4- dimethyl-5-（3″，4″-dimethoxyphenyl）- tetrahydrofuran （16）， galgravin （17）， velutin （18）， and piyunin A （19）. CONCLUSIONS Compound 1 is a new benzyl benzoate compound. Compounds 3-5， 8 and 9 are isolated from the Piper genus for the first time， while compounds 2， 6， 10-13 and 15-19 are isolated from P. wallichii for the first time.