Objective:To investigate the effect of the expression levels of CXCL12 and CXCR4 of carbon dioxide (CO2) pneu-moperitoneum on nude mice xenografts from human ovarian cancer SKOV3 cells in the same pressure at different times. Methods:A total of 40 animal models of human ovarian cancer SKOV3 cell-bearing nude mice xenografts were established. The animals were ran-domly divided into four groups (n=10), namely, the simple anesthesia group, 0.5 h laparotomy group, and 0.5 and 1 h CO2 pneumoperi-toneum groups. After the aforementioned treatments in the groups, the expression levels of CXCL12 and CXCR4 mRNAs of tumor tis-sues were detected by reverse transcription-polymerase chain reaction (RT-PCR), whereas those of the CXCL12 and CXCR4 proteins were detected by Western blot. Results:The 40 animal models of human ovarian cancer SKOV3 cell-bearing nude mice were success-fully established. After the treatment, RT-PCR results reveal that the CXCL12 mRNA expression was significantly higher in the 1 h CO2 pneumoperitoneum group than that in the other three groups. However, no differences were observed in the CXCR4 mRNA expression of each group. Western blot analysis also obtained the same results. Conclusion:The expression level of CXCL12 in SKOV3 cells of the 1 h CO2 pneumoperitoneum group increased, which possibly promoted the growth of peritoneal tumors, and had a slight effect on tu-mor metastasis.

Objective To investigate the expression of integrin α6 mRNA in skin lesions of patients with condyloma acuminata. Methods Sixty outpatients with condyloma acuminate, including 30 primary cases and 30 recurrent cases were enrolled in the study;30 non-condyloma acuminate patients undergoing circumcision were used as normal controls. The expression of integrin α6 mRNA in condyloma acuminata lesions of primary and recurrent cases, as well as in skin samples of normal controls were determined by RTPCR. ANOVA was used to compare the differences among the groups, and Student-Newman-Keuls test(q test)was used for pairwise comparisons. Results Relative contents of integrin α6 mRNA(integrin α6/GAPDH)in normal controls, primary and recurrent condyloma acuminata lesions were 0.25±0.10, 0.79±0.16 and 1.07±0.29, respectively, and the difference was of statistical significance(F=127.687, P=0.001). Conclusion Integrin α6 may be associated with the pathogenesis and recurrence of condyloma acuminate, which may provide a new target for prevention and treatment of the disease.

Objective: To evaluate the therapeutic efficacy of penciclovir combined with foscarnet sodium in the treatment of herpes zoster. Methods: The clinical datas of 135 herpes zoster patients from the ward of Department of Dermatology, Tianjin Medical University General Hospital were collected. Among them 64 patients received penciclovir and foscarnet sodium, and the remaining 71 patients only received penciclovir alone.Their general information, the time for vesicle stopped emerging, rash began to scab, pain to relief obviously, the adverse reaction and if they got the postherpetic neuralgia were recorded and included into statistical analysis. Results: The general information showed no significant differences between the 2 groups(all P>0.05). The time for vesicle stopped emerging, rash began to scab, pain to relief obviously in combination group was shorter than the penciclovir group (all P<0.001). The number of patients who developed postherpetic neuralgia of combination group was fewer than that of penciclovir group(P=0.013). There was no statistical significance between the 2 groups the adverse reaction(P=0.928). Conclusions The penciclovir and foscarnet sodium combination therapy showed rapid therapeutic effects on herpes zoster patients, the incidence of postherpetic neuralgia was low, and there was no more side effects than penciclovir alone therapy. The combined therapy may be a reliable way to treat herpes zoster.

Objective:To explore the effectiveness and feasibility of the machine learning models based on radiomics in the diagnosis of pituitary prolactin macroadenoma.Methods:Totally 122 histologically proven pituitary macroadenoma patients, including 70 cases of pituitary prolactin macroadenoma (PPM) and 52 cases of non-pituitary prolactin macroadenoma (NPPM), were retrospectively recruited. The differences of age, sex, serum prolactin value, bleeding, cystic degeneration and Knosp classification were compared between PPM and NPPM. The pre-processing, delineation of the region of interest and feature extraction of the preoperative axial contrast-enhanced T 1WI image were performed in the 3Dslicer software. The optimal feature set were selected by least absolute shrinkage and selection operator. All patients were randomly divided into the training group ( n=85) and the test group ( n=37) at a ratio of 7∶3. The models were established in the training group by logistic regression and support vector machine (SVM), and then verified by the test group. ROC curves were drawn respectively, and specificity, sensitivity, accuracy and area under the ROC curve (AUC) were calculated. Results:The age [(38±12) years vs . (43±11) years], gender ratio (male/female 50 cases/20 cases vs . 14 cases/38 cases) and prolactin value [366.00 (117.75, 1 156.25)μg/L vs . 47.25 (32.68, 62.40) μg/L] of patients with PPM and NPPM were statistically different ( P<0.05). The AUC values of logistic regression and SVM in the training group were 0.936 and 0.946, and the AUC values of the test group were 0.768 and 0.774, respectively. The diagnostic accuracy of logistic regression and SVM in the training group were 88.2% and 91.8%, and the accuracy of the test group were 73.0% and 77.8%. Conclusion:The machine learning models based on the radiomics can predict the pituitary prolactin macroadenoma well with a high accuracy.

Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95％CI:1.11～9.48),high modified Fisher grade(OR:3.66,95％CI:1.08～12.35),shunt dependence(OR:15.56,95％CI:1.22～198.57),and cerebral vasospasm(OR:22.24,95％CI:3.08～160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95％CI:0.40～0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95％CI:0.935～0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95％CI:0.904～0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.