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.

[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 cost-effectiveness of finerenone combined with standard treatment regimen in the treatment of diabetic nephropathy （DN）. METHODS From the perspective of healthcare service providers， a Markov model was established to simulate the dynamic changes of each stage in DN patients who received finerenone combined with the standard treatment regimen or the standard treatment regimen alone based on the phase Ⅲ clinical trial study of finerenone for DN. Markov model was used to perform the cost-effectiveness of long-term effects and the costs of the two therapies with a simulation cycle of 4 months， a simulation period of 15 years and an annual discount rate of 5%. At the same time， one-way sensitivity analysis and probability sensitivity analysis were performed， and the stability of the results was validated. RESULTS Accumulative cost of the standard treatment regimen was 579 329.54 yuan， and the accumulative utility was 8.052 4 quality-adjusted life year （QALYs）； the accumulative cost of finerenone combined with the standard treatment regimen was 332 520.61 yuan， and the accumulative utility was 8.187 4 QALYs. Finerenone combined with the standard treatment regimen was more cost-effective. The results of one-way sensitivity analysis showed that dialysis status utility value， DN stage 3 utility value and DN stage 4 utility value had a great influence on the incremental cost-effectiveness ratio， but did not affect the robustness of the model. The results of probability sensitivity analysis showed that finerenone combined with the standard treatment regimen was more cost-effective with 100% probability. CONCLUSIONS For DN patients， finerenone combined with the standard treatment regimen is more cost-effective as an absolute advantage option.

AIM: To compare the effects of different nucleus chopping methods on the central corneal thickness, corneal endothelial cell(CEC)count and tear inflammatory indicators in patients with hard nucleus cataract.METHODS: Retrospective study. Totally 89 patients(89 eyes)with hard nucleus cataract who treated in our hospital were included from January 2020 to December 2022. According to different intraoperative nucleus chopping methods, the patients were divided into reverse prechop group(46 eyes)and phaco-chop group(43 eyes). The total effective rate of surgery and visual acuity recovery were compared between the two groups. Corneal related indicators(central corneal thickness, CEC count, CEC area), tear inflammatory indicators and tear film function [tear film break-up time(BUT), Chinese Dry Eye Questionnaire(CDEQ), Schirmer Ⅰ test(SⅠt)] were observed before and after surgery in both groups, and the degree of corneal edema was evaluated.RESULTS: The effective phaco time, phaco energy and cumulative complex energy parameters in the phaco-chop group were longer or higher than those in the reverse prechop group(P<0.05). The macular retinal thickness in the reverse prechop group at 7 d and 1 mo after surgery was thinner than that in the phaco-chop group, the central corneal thickness at 3 and 7 d after surgery was also thinner than that in the phaco-chop group, the CEC count at 3 mo after surgery was more than that in the phaco-chop group, the CEC loss rate was lower than that in the phaco-chop group, and the CEC area at 3 mo after surgery was smaller than that in the phaco-chop group(P<0.05). The levels of tear TNF-α and IL-6 at 7 d and 1 mo after surgery in the reverse prechop group were lower than those in the phaco-chop group(P<0.05). The BUT at 1 and 3 mo after surgery was longer in the reverse prechop group than that in the phaco-chop group(P<0.05). The CDEQ score in the reverse prechop group was lower than that in the phaco-chop group at 1 and 3 mo after surgery(P<0.05). The SⅠt at 1 and 3 mo after surgery was higher in the reverse prechop group compared with that in the phaco-chop group(P<0.05). The degree of corneal edema at 1 d after surgery was milder in the reverse prechop group than that in the phaco-chop group(P<0.05). CONCLUSION: Compared with phaco-chop, the application of reverse-chopper prechop combined with phacoemulsification can better reduce the ultrasonic energy in the treatment of hard nuclear cataract, and it is more conducive to reducing the postoperative inflammatory degree, improving the tear film function and relieving the corneal edema degree.

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.

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

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.

[This corrects the article DOI: 10.1016/j.apsb.2024.09.010.].