1.Impact of DRG payment on length of stay and medical costs in COPD patients from Kashgar region
Jiale YANG ; Ningning WANG ; Aierken AIZEZIJIANG ; Lingkai LIAN ; Xinyi LYU ; Pengcheng LIU ; Wenbing YAO
China Pharmacy 2026;37(8):991-997
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.
2.Effectiveness Evaluation of Exhalation-Inhalation Exercise on Early Pulmonary Rehabilitation for Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease
Jiaojiao WANG ; Lin HAN ; Pengcheng ZHOU
Journal of Traditional Chinese Medicine 2026;67(4):432-438
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.
3.Facial and tongue features in traditional Chinese medicine for coronary artery stenosis warning and their association chain with cardiac biomarkers
Yu Wang ; Pengcheng Ding ; Zhentao Li ; Jiyu Zhang ; Liping Tu ; Jijie Xu ; Jiatuo Xu
Digital Chinese Medicine 2026;9(2):184-196
Objective:
To explore whether digital facial and tongue diagnostic technologies can support the assessment of coronary heart disease (CHD) patients for coronary artery stenosis severity, and examine potential associations between digital tongue diagnosis features and myocardial biomarkers.
Methods:
The TFDA-1 face and tongue diagnosis instrument and the TDAS analysis system were used to perform intelligent visual examination and analysis of the facial and tongue in CHD patients who attended the Department of Cardiology at Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine between October 2, 2023 and July 31, 2024. Variables were screened using principal component analysis (PCA) and multicollinearity analysis to construct four machine learning models, including random forest, LightGBM, decision tree, and naive Bayes, for the early prediction of coronary artery stenosis severity. Model performance metrics, including sensitivity, specificity, precision, F1 score, accuracy, and the area under the receiver operating characteristic (ROC) curve (AUC), were evaluated. Visual analyses were performed using the SHapley Additive exPlanations (SHAP) interpreter and decision curve analysis. For patients after percutaneous coronary intervention (PCI), a conceptual model linking cardiac biomarkers and tongue diagnosis was constructed using the partial least squares structural equation modeling (PLS-SEM), and its validity was assessed.
Results:
A total of 459 CHD patients were enrolled and assigned to a PCI group and a non-PCI group (which comprised two subgroups: mild stenosis or less group, moderate stenosis or greater group). For sublingual vein (SV) features, the PCI group had lower SV-a and SV-b than the other groups (P < 0.01 and P < 0.05, respectively). For tongue surface features, the PCI group had significantly higher tongue body (TB)-L, TB-a, and TB-b (P < 0.05, P < 0.01, and P < 0.001, respectively), as well as higher tongue coating (TC)-a and TC-b (P < 0.01 and P < 0.001, respectively). Age, SV-a, SV-b, creatine kinase-myocardial band (CK-MB), CK, TC-a, lip-L, and lip-b were incorporated in the machine learning models. The random forest model performed best, with an AUC of 0.924, an F1 score of 0.839, precision of 0.807, accuracy of 0.864, sensitivity of 0.873, and specificity of 0.839. Decision curve analysis indicated that both LightGBM and random forest had clinical utility. PLS-SEM confirmed the pathway relationships: myocardial biomarkers → TB and myocardial biomarkers → TC (coefficient = – 0.238, t = 2.239, P = 0.025, and coefficient = – 0.270, t = 2.522, P = 0.012, respectively).
Conclusion
This study developed a noninvasive early warning model for coronary artery stenosis in patients with CHD. It applied PLS-SEM to investigate the association between post-PCI cardiac biomarkers and tongue diagnosis, and validated the proposed association chain. These findings suggest that intelligent traditional Chinese medicine (TCM) visual diagnosis integrated with modern digital technology may support CHD risk assessment and comprehensive health management.
4.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
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
5.Outcomes of endoscopic balloon dilation laryngoplasty for acquired subglottic stenosis in children.
Qi LI ; Pengcheng WANG ; Yihua NI ; Letian TAN ; Zhengmin XU ; Chao CHEN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(2):124-127
Objective:To investigate the outcomes of endoscopic balloon dilation laryngoplasty (EBDL) in managing acquired subglottic stenosis in children. Methods:A retrospective analysis of clinical data from patients who underwent endoscopic balloon dilation for secondary subglottic stenosis between January 2017 and January 2024 at Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital of Fudan University, Shanghai. The study included 10 children (6 males, 4 females) aged between 13 days and 3 years at the time of their first procedure, with an average age of 7 months. Subglottic stenosis was graded according to the Myer-Cotton classification, with two cases classified as grade Ⅱ and eight cases as grade Ⅲ. All patients had a history of tracheal intubation, including seven for rescue purposes and three for operations. Eight cases were complicated by other conditions: two with atrial septal defect, patent ductus arteriosus, and patent foramen ovale; two with patent foramen ovale only; one with atrial septal defect and extreme deafness in the left ear; one with a brain tumor and hydrocephalus; one with a traumatic diaphragmatic hernia and hepatic rupture; and one case complicated by type Ⅰ laryngeal cleft. Prior to surgery, all children required respiratory support-seven needed high-flow oxygen while three required CPAP. Results:All ten cases underwent endoscopic balloon dilation under spontaneous respiration and general anesthesia, totaling fourteen dilations (an average of 1.4 dilations per person) without any complications. Post-surgery air permeability tests showed that eight cases had grade Ⅰ stenosis while two had grade Ⅱ stenosis. The follow-up period ranged from six months to six years (average duration: 46 months). Following treatment, all patients no longer required respiratory support or experienced significant mobility limitations. Conclusion:Endoscopic balloon dilation under general anesthesia is deemed safe and effective in treating secondary subglottic stenosis. Early diagnosis coupled with prompt intervention can help avoid tracheotomy procedures altogether. Standard tracheoscopy combined with breathability testing represents a crucial approach to assess normal airway diameter and effectively reduce or prevent secondary subglottic stenosis following re-intubation.
Humans
;
Laryngostenosis/surgery*
;
Male
;
Female
;
Retrospective Studies
;
Laryngoplasty/methods*
;
Child, Preschool
;
Infant
;
Dilatation/methods*
;
Laryngoscopy/methods*
;
Treatment Outcome
;
Endoscopy
6.Synthesis and evaluation of TSPO-targeting radioligand 18FF-TFQC for PET neuroimaging in epileptic rats.
Wenhui FU ; Qingyu LIN ; Zhequan FU ; Tingting YANG ; Dai SHI ; Pengcheng MA ; Hongxing SU ; Yunze WANG ; Guobing LIU ; Jing DING ; Hongcheng SHI ; Dengfeng CHENG
Acta Pharmaceutica Sinica B 2025;15(2):722-736
The translocator protein (TSPO) positron emission tomography (PET) can noninvasively detect neuroinflammation associated with epileptogenesis and epilepsy. This study explored the role of the TSPO-targeting radioligand [18F]F-TFQC, an m-trifluoromethyl ER176 analog, in the PET neuroimaging of epileptic rats. Initially, [18F]F-TFQC was synthesized with a radiochemical yield of 8%-10% (EOS), a radiochemical purity of over 99%, and a specific activity of 38.21 ± 1.73 MBq/nmol (EOS). After determining that [18F]F-TFQC exhibited good biochemical properties, [18F]F-TFQC PET neuroimaging was performed in epileptic rats at multiple time points in various stages of disease progression. PET imaging showed specific [18F]F-TFQC uptake in the right hippocampus (KA-injected site, i.e., epileptogenic zone), which was most pronounced at 1 week (T/NT 1.63 ± 0.21) and 1 month (T/NT 1.66 ± 0.20). The PET results were further validated using autoradiography and pathological analysis. Thus, [18F]F-TFQC can reflect the TSPO levels and localize the epileptogenic zone, thereby offering the potential for monitoring neuroinflammation and guiding anti-inflammatory treatment in patients with epilepsy.
7.Erratum to "Adipose ADM2 ameliorates NAFLD via promotion of ceramide catabolism" Acta Pharm Sin B 14 (2024) 4883-4898.
Pengcheng WANG ; Song-Yang ZHANG ; YongQiang DONG ; Guangyi ZENG ; Huiying LIU ; Xian WANG ; Changtao JIANG ; Yin LI
Acta Pharmaceutica Sinica B 2025;15(3):1717-1718
[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].
8.Long-chain acylcarnitine deficiency promotes hepatocarcinogenesis.
Kaifeng WANG ; Zhixian LAN ; Heqi ZHOU ; Rong FAN ; Huiyi CHEN ; Hongyan LIANG ; Qiuhong YOU ; Xieer LIANG ; Ge ZENG ; Rui DENG ; Yu LAN ; Sheng SHEN ; Peng CHEN ; Jinlin HOU ; Pengcheng BU ; Jian SUN
Acta Pharmaceutica Sinica B 2025;15(3):1383-1396
Despite therapy with potent antiviral agents, chronic hepatitis B (CHB) patients remain at high risk of hepatocellular carcinoma (HCC). While metabolites have been rediscovered as active drivers of biological processes including carcinogenesis, the specific metabolites modulating HCC risk in CHB patients are largely unknown. Here, we demonstrate that baseline plasma from CHB patients who later developed HCC during follow-up exhibits growth-promoting properties in a case-control design nested within a large-scale, prospective cohort. Metabolomics analysis reveals a reduction in long-chain acylcarnitines (LCACs) in the baseline plasma of patients with HCC development. LCACs preferentially inhibit the proliferation of HCC cells in vitro at a physiological concentration and prevent the occurrence of HCC in vivo without hepatorenal toxicity. Uptake and metabolism of circulating LCACs increase the intracellular level of acetyl coenzyme A, which upregulates histone H3 Lys14 acetylation at the promoter region of KLF6 gene and thereby activates KLF6/p21 pathway. Indeed, blocking LCAC metabolism attenuates the difference in KLF6/p21 expression induced by baseline plasma of HCC/non-HCC patients. The deficiency of circulating LCACs represents a driver of HCC in CHB patients with viral control. These insights provide a promising direction for developing therapeutic strategies to reduce HCC risk further in the antiviral era.
9.IsoVISoR: Towards 3D Mesoscale Brain Mapping of Large Mammals at Isotropic Sub-micron Resolution.
Chao-Yu YANG ; Yan SHEN ; Xiaoyang QI ; Lufeng DING ; Yanyang XIAO ; Qingyuan ZHU ; Hao WANG ; Cheng XU ; Pak-Ming LAU ; Pengcheng ZHOU ; Fang XU ; Guo-Qiang BI
Neuroscience Bulletin 2025;41(2):344-348
10.Noncoding RNA Terc-53 and hyaluronan receptor Hmmr regulate aging in mice.
Sipeng WU ; Yiqi CAI ; Lixiao ZHANG ; Xiang LI ; Xu LIU ; Guangkeng ZHOU ; Hongdi LUO ; Renjian LI ; Yujia HUO ; Zhirong ZHANG ; Siyi CHEN ; Jinliang HUANG ; Jiahao SHI ; Shanwei DING ; Zhe SUN ; Zizhuo ZHOU ; Pengcheng WANG ; Geng WANG
Protein & Cell 2025;16(1):28-48
One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals
;
Mice
;
RNA, Untranslated/metabolism*
;
Aging/genetics*
;
Mice, Transgenic
;
Telomerase/metabolism*
;
RNA/genetics*
;
Hippocampus/metabolism*
;
Humans
;
Mice, Inbred C57BL

Result Analysis
Print
Save
E-mail