Objective To investigate the influence of plasma infusion during orthotopic liver transplantation on the incidence of acute kidney injury (AKI) in recipients. Methods Cinical data of 473 liver transplant recipients who underwent orthotopic liver transplantation at Beijing Chaoyang Hospital Affiliated to Capital Medical University from January 2016 to December 2020 were retrospectively collected. The study included 354 recipients who received plasma infusion during the operation (plasma group) and 119 recipients who did not receive plasma infusion during the operation (control group). Preoperative conditions, donor conditions, intraoperative conditions, main outcome indicators and secondary outcome indicators of the two groups were analyzed and compared. Receiver operating characteristic curve was drawn to calculate the maximum cut-off value of intraoperative plasma infusion volume that affected the occurrence of AKI within 7 days after surgery. Logistic regression analysis was performed to analyze the correlation between intraoperative plasma infusion volume and the incidence of AKI within 7 days after surgery. Results Before propensity score matching, the incidence of AKI within 7 days after surgery and the incidence of grade Ⅲ AKI in the plasma group were higher than those in the control group (both P<0.05). After propensity score matching, 62 recipients were included in each group. There was no statistically significant difference in the incidence of AKI within 7 days after surgery between the plasma group and the control group, but the incidence of grade Ⅲ AKI within 7 days after surgery in the plasma group was higher than that in the control group (P=0.041). Logistic regression analysis showed that intraoperative plasma infusion volume >900 mL was a potential risk factor for AKI within 7 days after surgery (odds ratio=1.936, 95% confidence interval 1.193-3.142, P=0.007). There were no statistically significant differences in the incidence of 365-day postoperative fatality, reperfusion syndrome, and postoperative 30-day complications between the two groups before and after propensity score matching. In addition, the postoperative albumin, fibrinogen levels, and international normalized ratio in the plasma group were better than those in the control group before and after matching (all P<0.05). Conclusions Large amount of intraoperative plasma infusion is associated with an increased risk of grade Ⅲ AKI after orthotopic liver transplantation. Intraoperative plasma infusion volume >900 mL may increase the risk of AKI within 7 days after surgery.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

We propose a strategy to reduce unnecessary prostate biopsies in Chinese patients with total prostate-specific antigen (tPSA) >10 ng ml -1 and Prostate Imaging Reporting and Data System (PI-RADS) scores between 1 and 3. Clinical data derived from 517 patients of The First Affiliated Hospital of USTC (Hefei, China) from January 2020 to December 2023 who met the screening criteria for the study were retrospectively collected. Independent predictors were identified via univariate and multivariate logistic regression analysis. The diagnostic capacity of clinical variables was evaluated using the receiver operating characteristic (ROC) curves and area under the curve (AUC). A prostate biopsy strategy was developed via risk stratification. Of the 517 patients, 17/348 (4.9%) with PI-RADS 1-2 were diagnosed with clinically significant prostate cancer (csPCa), and 27/169 (16.0%) patients with PI-RADS 3 were diagnosed with csPCa. The appropriate prostate-specific antigen density (PSAD) cut-off values were 0.45 ng ml -2 for PI-RADS 1-2 patients and 0.3 ng ml -2 for PI-RADS 3 patients. The appropriate prostate volume (PV) cut-off values were 40 ml for PI-RADS 1-2 patients and 50 ml for PI-RADS 3 patients. The prostate biopsy strategy based on PSAD and PV developed in this study can reduce unnecessary prostate biopsies in patients with tPSA >10 ng ml -1 and PI-RADS 1-3. In the study, 66.5% (344/517) patients did not need to undergo prostate biopsy, at the expense of missing only 1.7% (6/344) patients with csPCa.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Retrospective Studies ; Prostate/diagnostic imaging* ; Unnecessary Procedures/statistics & numerical data* ; Biopsy/statistics & numerical data* ; China ; ROC Curve

OBJECTIVE: To investigate the expression of CD19/CD73 in chronic lymphocytic leukemia (CLL) and its correlation with clinical features. METHODS: The clinical data of 60 CLL patients and 40 healthy volunteers (control group) from January 2022 to November 2023 were retrospectively analyzed. The levels of CD19 and CD73 in peripheral blood of CLL patients were measured by flow cytometry. Kaplan-Meier method was used for survival analysis. RESULTS: The hemoglobin (Hb) and CD19/CD73 levels in CLL group were significantly lower than those in control group, while CD19, CD73 and β₂-MG were significantly higher (all P <0.001). According to ROC curve analysis, the AUC value of CD19/CD73 for CLL diagnosis was 0.980 (95%CI : 0.949-1.000, P <0.05), the specificity was 92.50%, and the sensitivity was 98.30%. The CD19/CD73 level of CLL patients with splenomegaly was significantly lower than those without splenomegaly (P <0.01). There was no significant correlation between CD19/CD73 and Hb in CLL patients ( r =0.056, P >0.05). CD19/CD73 was positively correlated with β₂-MG ( r =0.837, 95%CI : 0.740 2-0.899 6, P <0.01). According to the median value (12.84) of CD19/CD73, the patients were divided into high and low expression groups. Kaplan-Meier survival analysis showed that the overall survival rate and progression-free survival rate at 18^th month in the low expression group were 87.08% and 93.25%, while those in the high expression group were 96.41% and 99.90%, respectively (both P <0.05). CONCLUSION The level of CD19/CD73 is low in CLL patients, which can be used as an auxiliary index for clinical diagnosis of CLL. CD19/CD73 is closely related to splenomegaly in CLL patients. Low expression of CD19/CD73 predicts poor prognosis.
Humans ; Leukemia, Lymphocytic, Chronic, B-Cell/metabolism* ; 5'-Nucleotidase/metabolism* ; Antigens, CD19/metabolism* ; Retrospective Studies ; Male ; Female ; Prognosis ; Middle Aged ; Aged ; Adult ; GPI-Linked Proteins

[Objective] To establish a method for detecting the potency of recombinant human coagulation factor Ⅶa for injection. [Methods] By adding the sample and factor Ⅶ deficient plasma to the sample cup and activating the reaction with prothrombin time assay reagent (PT reagent), the coagulation time of the sample was determined by the change in magnetic bead swing amplitude in the sample cup. The logarithm of coagulation time was inversely proportional to the logarithm of human factor Ⅶa potency. [Results] Under the experimental conditions, the specificity of the methodology was evaluated through spiked recovery, and the recovery rates ranged from 90.0% to 110.0%. Within the range from 0.125 to 1.000 IU/mL, there was a good linear response between the potency and coagulation time of the standard and sample, with correlation coefficients r>0.99. As for the accuracy and repeatability, the recovery rates of various concentrations detected in the stock solution were 101.0%, 100.0% and 112.0%, respectively, with RSD values of 2.6%, 4.0% and 0.0%, respectively. The recovery rates of various concentrations in finished product testing were 104.0%, 94.7% and 112.0%, respectively, with RSD values of 1.9%, 2.4% and 0.0%, respectively. As for the intermediate precision, the RSD were 4.5% and 3.7%, respectively. After treated with sample diluent, the sample was tested at room temperature for 6 hours and still exhibited relatively stable biological activity. [Conclusion] This detection method is accurate, stable, easy to operate and highly automated, and is suitable for detecting the potency of recombinant human coagulation factor Ⅶa for Injection.

OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

Currently, researchers have identified several mutated genes associated with hereditary eye diseases; however, effective therapeutic options remain scarce. The emergence of clustered regularly interspaced short palindromic repeats(CRISPR)and its associated proteins(CRISPR-associated proteins, Cas)offers a promising approach for treating these diseases. CRISPR/Cas9 enables precise targeting and modification of specific genetic sequences, allowing for the correction of mutated genes, as well as knockout or replacement of pathogenic genes to achieve therapeutic effects. In ophthalmology, CRISPR/Cas9 has been applied to various hereditary eye disorders, including corneal dystrophy, congenital cataracts, glaucoma, and retinitis pigmentosa. Additionally, significant progress has been made to utilize CRISPR/Cas9 to develop disease models. Therefore, it has great potential for clinical applications. However, challenges such as delivery efficiency and off-target effects remain. This review summarizes the mechanism of CRISPR/Cas9, its applications in genetic eye diseases and disease models, as well as the existing challenges, aiming to provide new insights for treatment.

Occipital lobe epilepsy （OLE） accounts for 5%-10% of all focal epilepsy cases. Ictal clinical symptoms mainly include visual and ocular movements， with common and specific elementary visual hallucinations. Electroencephalography has certain limitations， and a well-localized unifocal rhythmic ictal discharge during seizure is infrequent on ictal EEG. Detailed preoperative evaluation， especially the evaluation of symptoms and intracranial EEG monitoring， can help to obtain good outcomes after surgical treatment.

Objective To study the spatial distribution of the incidence of pulmonary tuberculosis in Hubei Province and its influencing factors, so as to improve the theoretical basis for scientific development of tuberculosis prevention and control measures in the future. Methods The data of reported incidence of tuberculosis and related influencing factors in various counties and districts of Hubei Province in 2020 were collected. Global Moran's I index, hotspot analysis and geographically weighted regression (GWR) model analysis were used to calculate the spatial autocorrelation of the incidence of tuberculosis, and to analyze the influencing factors affecting the incidence rate of tuberculosis. Results There were obvious regional differences in the space distribution of the incidence rate of tuberculosis. Hot spot analysis showed positive spatial correlation and obvious clustering. The GWR model (AICc=784.251) in this study had higher AICc value compared to the ordinary least squares regression (OLS) model (AICc=804.2585). The GWR model showed that the increase in the proportion of the population aged 65 and above and the proportion of the ethnic minority population had a significant promoting effect on the increase of the incidence rate of tuberculosis, and there was significant spatial heterogeneity. The effect of PM_2.5 concentration on the incidence rate of pulmonary tuberculosis varied in different regions, and the degree of effect was also different. Conclusion The proportion of people aged 65 and above and the proportion of ethnic minorities may significantly influence the incidence of pulmonary tuberculosis. The effect of PM_2.5 concentration varies in different regions, so targeted measures should be formulated according to the situation in different regions.