ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

Objective To investigate the influence of preoperative blood lipid levels on postoperative recovery in patients with acute Achilles tendon rupture(AATR).Methods The clinical data of 353 AATR patients treated in Department of Orthopaedics Trauma of our hospital from Jan.2021 to Jan.2024 were retrospectively analyzed,including general clinical information and preoperative fasting blood biochemistry indices.Patients'Achilles tendon total rupture score(ATRS)and American Orthopaedic Foot and Ankle Society(AOFAS)ankle-hindfoot score were recorded 6 months postoperatively.Postoperative recovery was categorized as favorable if ATRS≥80 and poor if ATRS＜80;similarly,recovery was considered favorable if AOFAS score≥90 and poor if AOFAS score＜90.Univariate and multivariate logistic regression analyses were done to investigate the influencing factors of patients'postoperative recovery.Results When categorized by ATRS,patients in the favorable postoperative recovery group exhibited significantly lower serum levels of triglyceride(TG),total cholesterol(TC),and low-density lipoprotein(LDL)compared to the poor postoperative recovery group(all P＜0.05).Similarly,when categorized by AOFAS score,the favorable postoperative recovery group had lower serum TG and TC levels than the poor postoperative recovery group(both P＜0.05).Univariate logistic regression analysis demonstrated that in the ATRS grouping,elevated serum levels of TG,TC and LDL were significantly associated with an increased risk of poor postoperative recovery in AATR patients(all P＜0.05).Similarly,in the AOFAS score grouping,elevated serum levels of TG and TC were significantly correlated with an increased risk of poor postoperative recovery in AATR patients(both P＜0.05).Multivariate logistic regression analysis further identified that high serum LDL level was an independent predictor of poor postoperative recovery in AATR patients(P＜0.05).Conclusion High preoperative serum LDL level is associated with an increased risk of poor postoperative recovery in AATR patients.Therefore,preoperative blood lipid management in AATR patients may have positive effects on postoperative functional recovery.

Objective:To learn about the epidemic characteristics and temporal-spatial trends of human anthrax in Shaanxi Province, and to provide a theoretical basis for prevention and control of anthrax.Methods:The epidemic data of human anthrax in Shaanxi Province from 1955 to 2024 were collected for descriptive epidemiological analysis. Joinpoint regression model was used to analyze the trend of anthrax incidence rate. The trend at all times and different intervals were estimated by average annual percent change (AAPC) and annual percent change (APC), respectively. Based on the number of human anthrax cases in each county (district) of Shaanxi Province from 1980 to 2024, datasets were constructed in segments every five years for global and local spatial autocorrelation analysis.Results:From 1955 to 2024, a total of 3 900 cases of human anthrax were reported in Shaanxi Province, with 124 deaths. The average annual incidence rate was 0.18/100 000 and the fatality rate was 3.18%. The incidence rate of human anthrax generally showed a downward trend (AAPC = - 3.21, t = - 1.99, P = 0.044), with the fastest decline rate from 1977 to 1993 (APC = - 15.24, t = - 4.08, P < 0.001). A temporal and regional distribution analysis was conducted on 484 human anthrax cases in Shaanxi Province from 1980 to 2024. The peak period of incidence was from July to September, accounting for 52.27% (253/484). The cities with a relatively high number of reported cases were Weinan City (201 cases), Xianyang City (161 cases), and Xi'an City (77 cases), accounting for a total of 90.70% (439/484). A population distribution analysis was conducted on 93 human anthrax cases in Shaanxi Province from 2005 to 2024, with 73 males (78.49%) and 20 females (21.51%), resulting in a male to female ratio of 3.65 ∶ 1.00. The age range was 13 to 79 years old, with a median of 44 years old. The age group of 35 to 59 years old had a higher case of the disease, accounting for 65.59% (61/93). Farmers were the main occupation, accounting for 87.10% (81/93). The shortest time interval between onset and diagnosis of 93 human anthrax cases was 0 days, the longest was 47 days, and the median was 5 days. The results of global spatial autocorrelation analysis showed that there was spatial positive correlation in human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004, and 2020 to 2024 (global Moran's I > 0, Z > 1.96, P < 0.05). The results of local spatial autocorrelation analysis showed that the high-high aggregation area of human anthrax cases was concentrated in the Guanzhong region. Conclusions:From 1955 to 2024, the incidence rate of human anthrax in Shaanxi Province generally shows a downward trend. The peak period of incidence is from July to September, and the affected populations are mainly middle-aged male farmers. Human anthrax cases from 1980 to 1984, 1985 to 1989, 2000 to 2004 and 2020 to 2024 show spatial clustering, with high-high clustering areas concentrated in the Guanzhong region.

Objective:To establish a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products,screen critical quality markers,and provide methodological support for their intelligent quality control.Methods:Ultra-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS)was employed to quantitatively analyze 34 bioactive components(e.g.,tanshinone Ⅱ A and alvianol-ic acid B)in 20 batches of fermentation products.The key markers were screened through hierarchical cluster anal-ysis and partial least squares discriminant analysis,and an intelligent discriminant model was constructed with sup-port vector machine machine learning algorithm to digitally analyze the characteristics of quality differences between batches.Results:Thirty-four common peaks were calibrated across all batches.Combined with partial least squares analysis,six key difference markers were further screened,including terpenoids such as isotanshinone Ⅱ A and tan-shinone Ⅱ A and phenolic acids such as salvianolic acid G.The support vector machine model can achieve 100％accuracy of origin discrimination by optimizing parameters jointly with genetic algorithm and grid search.Conclusion:This study developed a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products through a three-step analytical strategy("chemical feature exploration-marker screening-model valida-tion"),providing a transferable technical pathway for the intelligent transformation of traditional Chinese medicine quality control.

Cholestatic liver disease(CLD)is a liver condition caused by disorders in bile acid secretion and metabolism due to various reasons,and it has the common pathological features of various chronic liver diseases.In recent years,the role of cholangiocyte senescence(CS)in the pathogenesis of CLD has attracted more and more attention,and CS not only participates in the development and progression of CLD,but it is also significantly associated with the course and prognosis of the disease.Targeted clearance of senescent cholangiocytes or blocking senescence-related pathways can improve CLD.This article summarizes the role of CS in CLD,related influencing factors,and the research advances in CLD,in order to provide a theoretical reference for subsequent studies on CLD.

Standardized clinical trial reporting is crucial for ensuring the scientific validity,reproducibility,and clinical translational value of reported results.The Consolidated Standards of Reporting Trials(CONSORT)statement,an internationally recognized guideline for randomized controlled trials(RCTs),has become an important reference standard for writing research papers in medicine since the 2010 version of CONSORT was published.With advancements in scientific research methodologies and the emergence of new forms of clinical trials,the CONSORT working group released an updated version in April 2025,published in journals such as The BMJ.Herein,we provide a systematic interpretation of the core revisions of CONSORT 2025,as well as a comparison with CONSORT 2010 to highlight the key differences.By providing practical,example-based recommendations,we aim to help domestic researchers apply the new guidelines efficiently,thereby improving the quality of clinical trial reports authored by domestic researchers.

A high-quality clinical trial protocol is the cornerstone for ensuring the scientific integrity and ethical compliance of a study.The Standard Protocol Items:Recommendations for Interventional Trials(SPIRIT)has become the international benchmark for developing clinical trial protocols since its release in 2013.To adapt to the developing trends of open science and patient-centered principles,the SPIRIT group completed a comprehensive update in 2025.While retaining its core structure,this updated guideline introduces a new open science module and incorporates several new elements,including patient and public involvement,trial monitoring,and data sharing,alongside substantial revisions of five pre-existing items.In this article,we critically examine the core revisions in SPIRIT 2025 and,through analysis of representative case studies,illustrate the practical application of the new reporting guideline in drafting trial protocols.Our goal is to to provide Chinese researchers with a valuable reference for understanding and implementing this new reporting guideline,thereby enhancing the quality and rigor of clinical trial protocols developed in the country.

Objective:To review the literature on improving patients′medical experience, analyze the current research status in this field, and provide references for enhancing patients′medical experience.Methods:A search was conducted for studies related to improving patients′medical experience published from January 2015 to November 2024 in eight databases, including CNKI and Web of Science. Using software CiteSpace 6.4.R1 and VOSviewer 1.6.19 to analyze publication trends, keyword clustering, existing problems in the process of improving patients′medical experience, and the measures taken.Results:6 507 articles were included, of which 4 452 were in English (68.4%) and 2 055 were in Chinese (31.6%). The annual number of publications showed a nearly linear growth trend ( R2 = 0.983 9). The clustering analysis results indicated that domestic and international research mainly focused on patient-centered diagnostic and treatment systems, behaviors, services, and environments. Existing studies revealed that there were still problems such as long waiting times for appointments and consultations (292 articles), uneven distribution of medical resources (198 articles), and poor doctor-patient communication (155 articles). To improve patients′medical experience, the following intervention measures were proposed: accelerating the medical reform process and strengthening government responsibilities (169 articles); enhancing service concepts and innovating service models (363 articles); optimizing the consultation process and simplifying medical procedures (221 articles); improving the consultation environment and optimizing the facilities in the consultation area (181 articles); and integrating technological advantages to cover the entire medical process (346 articles). Conclusions:Research on improving patients' medical experience was increasingly attracting the attention of more and more scholars. Issues such as low service efficiency, unbalanced resource allocation, and poor doctor-patient communication need to be given special attention. In the future, it is recommended to enhance the experience of patients′ medical experience by strengthening policy and institutional guarantees, accelerating the construction of information technology, improving doctor-patient communication skills and humanistic care, and enhancing the capacity of primary medical services.

AIM: To compare the control effect of spherical and toric orthokeratology on low-to-moderate myopia with astigmatism(-1.00--1.50 DC)in adolescents.METHODS: The clinical data of 119 cases(119 eyes)of low-to-moderate myopia with astigmatism(-1.00--1.50 DC)adolescents who were treated and fitted with orthokeratology in the ophthalmology department of Sichuan Provincial People's Hospital from June 2021 to January 2022 were retrospectively analyzed. They were divided into spherical group, with 65 cases(65 eyes), and toric group, with 54 cases(54 eyes)according to the type of orthokeratology. The changes of uncorrected visual acuity(UCVA), axial length and corneal astigmatism before and after wearing lenses were recorded to evaluate the therapeutic effect.RESULTS: The UCVA of both the groups significantly improved at 1 and 2 a after wearing lenses(all P<0.01); corneal astigmatism decreased, but there was no significant difference(all P>0.05); the axial length was longer than that before wearing lenses(P<0.01). There were no statistical significant differences in the UCVA and corneal astigmatism between the spherical group and the toric group(Fintergroup=0.829,Pintergroup=0.364; Fintergroup=0.997,Pintergroup=0.320); and there were no statistical significant differences in the axial length growth between the spherical group and the toric group after wearing lenses for 1 a(0.18±0.11 mm vs 0.17±0.14 mm), and 2 a(0.17±0.10 mm vs 0.16±0.10 mm; all P>0.05).CONCLUSION: Both orthokeratology lenses can improve the UCVA, reduce corneal astigmatism, and delay axial length growth of adolescents with low-to-moderate myopia with astigmatism(-1.00--1.50 DC), and there are no significant differences in the control effect of spherical design orthokeratology and the toric design orthokeratology on myopia.

Objective:To explore the risk factors for postoperative lower extremity lymphedema in patients with cervical cancer and construct a nomogram prediction model.Methods:A retrospective case-control study was conducted. Using convenience sampling method, 750 cervical cancer patients in Ziyang People's Hospital from May 2014 to May 2022 were selected. The included patients were divided into a modeling group (525 cases) and a validation group (225 cases) according to a ratio of 7∶3. In the modeling group, patients were divided into a developing group and a non-developing group according to the incidence of postoperative lower extremity lymphedema. Self-designed baseline data questionnaire was used to collect clinical data of patients. Logistic stepwise regression analysis was used to analyze the influencing factor for the incidence of postoperative lower extremity lymphedema in cervical cancer patients. R 4.0.2 software was used to construct a nomogram model for predicting the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients based on the independent risk factors. Receiver operating characteristic (ROC) curve was used to evaluate the differentiation of the nomogram prediction model. Calibration curves were drawn to evaluate the consistency of the nomogram prediction model.Results:Among 525 cervical cancer patients in the modeling group, 109 (20.76%) had postoperative lower extremity lymphedema. There were statistically significant differences in the proportions of patients with different ages, tumor stages, surgical methods, postoperative drainage time, continuous standing time, number of lymph node dissection, and with or without diabetes mellitus, postoperative chemotherapy, postoperative radiotherapy, strenuous exercise or physical labor between the developing group and the non-developing group (all P < 0.05). Multivariate logistic regression analysis showed that age ≥ 60 years old( OR = 2.548, 95% CI: 1.253-5.181), postoperative radiotherapy ( OR = 8.048, 95% CI: 3.867-16.749), postoperative drainage time ≥5 d ( OR = 2.664, 95% CI: 1.043-6.803), continuous standing time ≥ 1 h ( OR = 3.024, 95% CI: 1.252-7.305), number of lymph node dissection > 20 ( OR = 7.063, 95% CI: 1.595-31.281), comorbid diabetes mellitus ( OR = 2.617, 95% CI: 1.200-5.711), and strenuous exercise or physical labor ( OR = 3.518, 95% CI: 1.841-6.721) were all independent risk factors affecting the incidence of postoperative lower extremity lymphedema in cervical cancer patients (all P < 0.05). Based on the above risk factors, a nomogram model was established to predict the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients, and internal and external validation was performed. The results showed that the calibration curves of the modeling group and the validation group showed a good fit to the ideal curves (modeling group: χ2 = 7.87, P = 0.446; validation group: χ2 = 7.92, P = 0.441); the area under the ROC curve was 0.839 (95% CI: 0.795-0.883) and 0.834 (95% CI: 0.783-0.885), respectively, indicating that the prediction model had good predictive efficacy. Conclusions:Age, postoperative radiotherapy, postoperative drainage time, continuous standing time, number of lymph node dissection, whether combined with diabetes mellitus and strenuous exercise or physical labor may be the influencing factors for the incidence of postoperative lower extremity lymphedema in cervical cancer patients. The constructed nomogram model has high clinical value in evaluating the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients.