ObjectiveTo evaluate the effectiveness of exhalation-inhalation exercise on early pulmonary rehabi-litation for patients with acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. MethodsA total of 120 participants with AECOPD were randomly divided into a treatment group and a control group， with 60 participants in each group. The control group treated with conventional western medicine， while the treatment group received exhalation-inhalation exercise training on the basis of conventional western medicine treatment， with 30 minutes per session and 5 sessions per week. The course of treatment for both groups was 12 weeks. The primary outcome was the 6-minute walking distance （6MWD）. The secondary outcomes included pulmonary function indexes including forced expiratory volume in one second/forced vital capacity （FEV1/FVC）， percentage of predicted forced expiratory volume in one second （FEV1%） and percentage of predicted forced vital capacity （FVC%）， St.George's Respiratory Questionnaire （SGRQ） score， modified Medical Research Council （mMRC） dyspnea scale score， COPD assessment test （CAT） score， hospital anxiety and depression scale-anxiety subscale ［HADS（A）］ score， and hospital anxiety and depression scale-depression subscale ［HADS（D）］ score. Meanwhile， safety of all participants was recorded and assessed. ResultsDuring the treatment， 12 participants dropped out from both the treatment group and the control group， with 48 participants in each group finally included in the analysis. The 6MWD of both groups after treatment was higher than that before treatment， and the 6MWD of the treatment group was higher than that of the control group （P＜0.05 or P＜0.01）. After treatment， the SGRQ score， mMRC score and CAT score of the treatment group were lower than those before treatment， while FEV1%， FVC% and FEV1/FVC were higher than those before treatment （P＜0.05）. Moreover， after treatment， the FEV1/FVC of the treatment group was higher than that of the control group， while the SGRQ score， mMRC score and CAT score were lower than those of the control group （P＜0.05 or P＜0.01）. There was no statistically significant difference in pulmonary function indexes， SGRQ score， mMRC score and CAT score after treatment in the control group （P＞0.05）. No statistically significant difference was observed in HADS（A） score and HADS（D） score after treatment within and between groups （P＞0.05）. The incidence of adverse reactions in the treatment group was 6.25% （3/48）， and 0 in the control group， with no statistically significant difference between groups （P＞0.05）. ConclusionExhalation-inhalation exercise for patients with AECOPD in early pulmonary rehabilitation can improve patients' exercise tole-rance， quality of life， clinical symptoms and pulmonary function， with good safety.

OBJECTIVE To analyze the impact of the diagnosis-related groups （DRG） payment reform on the length of stay and medical costs in patients with chronic obstructive pulmonary disease （COPD） in Kashgar region， aiming to provide localized empirical evidence for the optimization of regional medical insurance payment methods. METHODS Based on the inpatient settlement database of the Xinjiang Uygur Autonomous Region Healthcare Security Administration， settlement data of COPD inpatients from 17 medical institutions in Kashgar region between January 1， 2022， and December 31， 2024， were extracted. The overall changes in patients’ length of stay and costs were compared before and after the reform. Subsequently， interrupted time series analysis （ITSA） was employed to explore the impact of the DRG payment reform on these variables. RESULTS Following the reform， both the average length of stay and various cost decreased significantly compared to the pre-reform period （ P ＜0.001）. At the overall sample level， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission all demonstrated significant long-term downward trends after the reform （ P ＜0.05）. However， the decrease in average out-of-pocket costs and the increase in average consumable costs per admission were not statistically significant （ P ＞0.05）. In tertiary medical institutions， the average length of stay and all categories of costs （except average consumable costs per admission） exhibited significant long-term upward trends after the reform （ P ＜0.05）； conversely， in secondary and lower-level medical institutions， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission showed significant long-term downward trends （ P ＜0.05）. CONCLUSIONS The DRG payment reform has achieved an overall effect of reducing the length of stay and controlling costs in COPD patients from Kashgar region. However， the effects vary across different levels of medical institutions： secondary and lower-level institutions show a long-term downward trend in length of stay and costs， whereas tertiary institutions exhibit a long-term upward trend. Furthermore， patients’ out-of-pocket financial burden does not show significant improvement.

ObjectiveTo clarify the anti-inflammatory and lung-protective effects of Yantiao prescription on lipopolysaccharide （LPS）-induced acute lung injury （ALI）， and to explore the impact of Yantiao prescription on the metabolic pathways of arachidonic acid （AA） in vivo. MethodsThirty male C57BL/6J mice were randomly divided into the following groups based on body weight： normal group， model group， dexamethasone group （2 mg·kg^-1）， low-dose Yantiao prescription group （18 g·kg^-1）， and high-dose Yantiao prescription group （36 g·kg^-1）， with 6 mice in each group. The ALI mouse model was established by intraperitoneal injection of LPS. The treatment groups received oral gavage once a day for 7 consecutive days， and serum and lung tissue were collected at the end of the experiment. The content of pro-inflammatory cytokines tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6） in serum was detected by enzyme-linked immunosorbent assay （ELISA）. Hematoxylin-eosin （HE） staining was used to assess lung tissue pathology. The wet/dry weight ratio （W/D） and myeloperoxidase （MPO） activity in lung tissue were measured. The content of AA metabolites in serum and lung tissue was measured by liquid chromatography triple quadrupole-mass spectrometry （LC-MS/MS）. ResultsCompared with the conditions in the normal group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the model group was significantly increased （P<0.01）. The alveolar structure in mice was severely damaged， with markedly thickened alveolar walls and extensive inflammatory cell infiltration. The W/D ratio and MPO activity in lung tissue were significantly increased （P<0.01）. The content of AA metabolites， including prostaglandin D₂ （PGD₂）， prostaglandin E₂ （PGE₂）， 11（S）-hydroxy-eicosatetraenoic acid ［11（S）-HETE］， and 5-hydroxy-eicosatetraenoic acid （5-HETE） in serum and lung tissue was significantly increased （P<0.05）， while the content of 11，12-epoxyeicosatrienoic acid （11，12-EET） and 14，15-epoxyeicosatrienoic acid （14，15-EET） in serum was significantly decreased （P<0.01）. Compared with the results in the model group， the content of serum pro-inflammatory cytokines TNF-α， IL-1β， and IL-6 in the dexamethasone group， low-dose Yantiao prescription group， and high-dose Yantiao prescription group was significantly reduced （P<0.05）. Mild thickening of alveolar walls， scattered inflammatory cell infiltration， and relatively intact tissue structure with improved alveolar architecture were observed. The W/D ratio and MPO activity in lung tissue were significantly reduced （P<0.01）. The content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum from the dexamethasone group was significantly decreased （P<0.05）， while the content of 14，15-EET in serum significantly increased （P<0.01）， and the content of 5-HETE in lung tissue significantly decreased （P<0.01）. In the low-dose and high-dose Yantiao prescription groups， the content of AA metabolites PGD₂， PGE₂， 11（S）-HETE， and 5-HETE in serum and lung tissue was significantly decreased （P<0.05）， while the content of 11，12-EET in both serum and lung tissue was significantly increased （P<0.05）. ConclusionYantiao prescription has significant protective effects against LPS-induced ALI， which are related to its regulation of AA metabolic pathways in vivo.

[Objective] To explore the incidence and risk factors of blood transfusion undergoing total knee revision (TKR) using a nationwide database. [Methods] A retrospective data analysis was conducted based on the Nationwide Inpatient Sample (NIS), enrolling patients who underwent TKR from 2015 to 2019 with complete information. Patients under 18 years old and those using anticoagulants, antiplatelets, antithrombotic and non-steroidal were excluded. The patients were divided into two groups based on whether they received blood transfusion or not. The demographic characteristics, length of stay (LOS), total charge of hospitalization, hospital characteristics, hospital mortality, comorbidities and perioperative complications by Wilcoxon rank test for continuous data and chi-square test for categorical data. Logistic regression was performed to identify risk factors of blood transfusion undergoing TKR. [Results] The NIS database included 63 359 patients who underwent TKR. Among them, 5 271 patients received blood transfusion, with an incidence of blood transfusion of 7.8%. There was a decrease in the incidence over the years from 2015 to 2019, dropping from 10.2% to 6.5%. TKR patients requiring transfusions had experienced longer LOS, incurred higher total medical expenses, utilized Medicare more frequently, and had increased in-hospital mortality rates (all P<0.001). Independent risk factors for blood transfusion included female gender, iron-deficiency anemia, rheumatoid disease, collagen vascular disease, chronic blood loss anemia, congestive heart failure, coagulopathy, diabetes with chronic complications, lymphoma, fluid and electrolyte disorders, peripheral vascular disorders, renal failure, valvular disease and weight loss (malnutrition). In addition, risk factors for transfusion in TKR surgery included sepsis, acute myocardial infarction, deep vein thrombosis, gastrointestinal bleeding, heart failure, pneumonia, urinary tract infection, acute renal failure, postoperative delirium, wound infection, lower limb nerve injury, hemorrhage, seroma, hematoma, wound rupture and non healing. [Conclusion] Our findings highlight the importance of recognizing the risk factors of blood transfusion in TKR and establishing corresponding clinical pathways and intervention measures to reduce the occurrence of adverse events.

Objective To evaluate the accuracy of dose-length product (DLP) values in CT dose reports by comparing them with the DLP values measured using a pencil-type ionization chamber. Methods Experiments were conducted using four CT scanners with different detector row numbers from two manufacturers (A and B), along with a head phantom and a pencil-type ionization chamber. Other scanning parameters were fixed, while pairwise combinations of kV and mAs were tested. The DLP values were measured under various scanning conditions using the pencil-type ionization chamber (DLP_measured) and the corresponding DLP values in CT dose reports were recorded (DLP_reported). All data were subjected to statistical analysis. Results Differences were observed between DLP_reported and DLP_measured values. The smallest mean absolute value of ΔDLP was approximately 2.526 mGy·cm observed on the 40-row CT scanner of manufacturer A. There was a difference between the ΔDLPs of the four CT scanners. Both DLP_reported and DLP_measured exhibited a linear relationship with mAs. Conclusion The percentage errors between DLP_reported and DLP_measured values for all four CT scanners were within the national standard tolerance of 15%. DLP values in CT dose reports can serve as a reference for assessing patient radiation dose during scanning. However, for radiation dose-related research, data measured using dosimetric instruments such as pencil-type ionization chamber are recommended.

OBJECTIVE To explore the relationship between severe cardiotoxicity caused by oxaliplatin combined with capecitabine and genetic polymorphism， thereby providing references for safe clinical medication use. METHODS Clinical pharmacists conducted a correlation analysis on a case of severe cardiotoxicity in a rectal cancer patient at Qilu Hospital of Shandong University following first-time treatment with standard doses of oxaliplatin combined with capecitabine. Case reports of cardiotoxicity caused by oxaliplatin and capecitabine were retrieved from the Chinese and English databases such as CNKI and PubMed.Basic patient information， drug treatment plan， and cardiotoxic manifestations were extracted and summarized. Combined with the patient’s genetic polymorphism test results related to the metabolism and excretion of platinum-based and fluorouracil drugs， potential mechanisms and prevention strategies for cardiotoxicity induced by oxaliplatin and capecitabine were discussed. RESULTS The patient exhibited homozygous mutations in ABCB1 C3435T and G2677T/A， a heterozygous mutation in MTHFR A1298C， and a heterozygous mutation in GSTP1 A105G， indicating impaired metabolism and excretion of oxaliplatin and capecitabine. The pharmacists recommended discontinuing oxaliplatin and reducing capecitabine to 50% of the original dose for subsequent treatment. The physicians adopted this advice， and the patient experienced no further severe adverse reactions with stable disease progression. CONCLUSIONS Oxaliplatin and capecitabine may cause severe cardiotoxicity. Medical institutions with adequate resources should perform genetic polymorphism test related to drug metabolism and excretion in patients prescribed these agents. For patients with multiple gene mutations， close monitoring and appropriate dose reductions are recommended to ensure medication safety and efficacy.

Intestinal tuberculosis (ITB) is a specific infection caused by Mycobacterium tuberculosis invading the intestinal wall, encompassing two types: primary and secondary. In clinical practice, it is more commonly secondary to extrapulmonary tuberculosis, such as cavitary pulmonary tuberculosis. In recent years, the incidence of ITB has shown an increasing trend. Due to its insidious onset and the lack of obvious or specific early symptoms, early diagnosis is challenging, often leading to a prolonged disease course. Therefore, accurate early diagnosis is of great significance for the control and prevention of ITB. Currently, the primary diagnostic methods for tuberculosis include etiological examination, histopathological evaluation, molecular biological diagnosis, and imaging studies. This article summarizes recent advances in the application of these diagnostic techniques for ITB, aiming to provide valuable insights for healthcare professionals.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical