Objective: To investigate the factors influencing intraoperative blood transfusion in patients with hip fractures and to develop a machine learning (ML) model for predicting this risk. Methods: A total of 424 patients with hip fractures who underwent surgical treatment between November 2022 and March 2025 in our hospital were selected. Key feature variables of intraoperative blood transfusion risk were identified using the Boruta algorithm. Four different ML algorithms—support vector machine (SVM), linear discriminant analysis (LDA), mixed discriminant analysis (MDA), and extreme gradient boosting (XGBoost)—were used to develop predictive models for intraoperative blood transfusion risk. The predictive performance of the four ML models were evaluated using accuracy, precision, receiver operating characteristic (ROC) curves, precision-recall curves (PRC), precision-recall gain curves (PRGC), and F1 scores. Shapley additive interpretation (SHAP) was used to interpret the final model. Results: Among the 424 patients, 77(18.2%) received intraoperative blood transfusion. The Boruta algorithm identified albumin (ALB), activated partial thromboplastin time (APTT), types of anesthesia, types of fracture, and hemoglobin (Hb) as key feature variables for predicting intraoperative blood transfusion risk. In model evaluation, the SVM model outperforms the other three models across multiple metrics, including the area under the receiver operating characteristic curve (AUC), recall, recall gain, accuracy, precision, F1 score, and the area under the precision-recall curve (PRC-AUC). The SVM model, interpreted and visualized based on SHAP values, effectively predicted intraoperative blood transfusion risk in patients with hip fracture. A visual online application was developed based on the SVM model (https://pbo-nomogram.shinyapps.io/blood/). Conclusion: Preoperative low ALB and Hb levels, prolonged APTT, general anesthesia, and intertrochanteric fractures are risk factors for intraoperative blood transfusion in hip fracture patients. The risk prediction model for intraoperative blood transfusion constructed based on the SVM algorithm has optimal performance, which provides new ideas and methods for the clinical early identification of hip fracture patients with high transfusion risk and the implementation of targeted interventions.

Objective: To explore the effects of Cldn14 gene knockout on renal metabolism and stone formation in rats，so as to provide reference for research in the field of urinary calium metabolism and stone formation. Methods: Cldn14 gene knockout homozygous rats and wild-type rats of the same age were randomly divided into 4 groups：wild-type control (WC) group，wild-type ethylene glycol (WE) group，gene knockout control (KC) group and gene knockout ethylene glycol (KE) group，with 10 rats in each group.The WE and KE groups were induced with ethylene glycol + ammonium chloride to form kidney stones，while the WC and KC groups received normal saline gavage.After 4 weeks of standard maintenance feeding，the urine samples were collected to detect the venous blood.The kidneys were collected for HE，Pizzolatto's staining and transmission electron microscopy.The protein in renal tissues was extracted to detect the expressions of Claudin16 and Claudin19. Results: Crystal deposition was observed in the renal tubular lumen of the WE and the KE groups，and more crystals were detected in the KE group.The WE group had a large number of intracytoplasmic black crystalline inclusions observed in renal tubular epithelial cells under transmission electron microscope，followed by the KE and KC groups.Compared with WC and WE groups，KC and KE groups had significantly decreased serum calcium and magnesium levels but significantly increased urinary calcium level.In addition，the urinary calcium level was higher in the WE group than in the WC group and higher in the KE group than in the KC group.The KE group had lower level of Claudin16，but there was no significant difference in the level of Claudin19 among the 4 groups(P>0.05). Conclusion: Knockout of Cldn14 gene alone cannot effectively reduce urinary calcium excretion or reduce the risk of stone formation in rats，which may be related to the decrease of Claudin16 level.

Objective To explore the application effect of 3D printed individualized model in the treatment of complex ankle fractures(AF).Methods Patients with complex AF admitted to our hospital from July 2021 to October 2022 were selected and divided into the control group and the observation group using a random number table method,with 50 cases in each group.Patients in the control group were received minimally invasive reduction and internal fixation,while these in the observation group were given minimally invasive reduction and internal fixation under the guidance of 3D printed individualized model.The surgical conditions,ankle joint reduction,stress indicators[norepinephrine(NE)and angiotensin Ⅱ(AngⅡ)],ankle function and postoperative complications were compared between the two groups.Results There were 2 patients in the observation group and 3 patients in the control group were lost to follow-up 12 months after surgery.Compared with the control group,the observation group showed a decrease in the intraoperative blood loss,shortened surgical time,hospitalization time,and weight-bearing activity time,and an increase in the anatomical reduction rate(P<0.05).The observation group had lower serum levels of NE and AngⅡ 1 and 3 days after surgery(P<0.05)and higher Kofoed score and American Orthopedic Foot and Ankle Society(AOFAS)scores 1,6,and 12 months after surgery(P<0.05),as well as lower incidence of postoperative complications(P<0.05)than those in the control group.Conclusion For the treatment of complex AF,3D printed individualized model assisted the formulation of minimally invasive reduction and fixation surgical plans before surgery can shorten surgical time,reduce stress injury,decrease the risk of complications,and simultaneously increase the anatomical reduction rate and improve ankle joint function,thereby accelerating postoperative recovery of patients.

Objective:To explore the application value of the artificial intelligence (AI) morphological assisted analysis system in the pre-classification of blood cells in patients with acute myeloid leukemia, myelodysplasia-related (AML-MR).Methods:A retrospective analysis was conducted on the bone marrow and peripheral blood cell morphology of patients initially diagnosed with AML-MR at Taizhou Hospital in Zhejiang Province from September 1, 2022, to December 31, 2023. A total of 44 patients, including 25 males and 19 females, with a median age of 71 (63.5, 75.3) years. Bone marrow and peripheral blood morphology were examined using the Morphogo cell morphology assisted analysis system, with the artificial classification results serving as the gold standard. A confusion matrix was constructed to evaluate the precision, sensitivity, and specificity of the AI system in identifying various cell types in bone marrow and peripheral blood for AML-MR diagnosis. The impact of dysplastic hematopoiesis on AI pre-classification was analyzed by comparing AI and manual classification results.Results:The AI system completed the pre-classification of 44 bone marrow smears and 42 corresponding peripheral blood smears from AML-MR patients. For bone marrow smears, the precision, sensitivity, and specificity of AI in pre-classifying blast cells were 85.78%, 91.01%, and 94.58%, respectively. For peripheral blood smears, these values were 87.11%, 87.05%, and 98.29%, respectively. The precision and sensitivity of AI in pre-classifying promyelocytes were 54.26% and 46.93%, respectively, while for monocytes, they were 58.16% and 68.34%, both lower than those for blast cells. The precision and sensitivity of AI in identifying myelocytes and metamyelocytes also decreased (77.47%, 66.25% and 81.91%, 63.29%, respectively). The precision and sensitivity of AI in pre-classifying erythroblasts/proerythroblasts (67.71%, 69.89%) were lower than those for polychromatic and orthochromatic normoblasts (83.43%, 85.53% and 92.97%, 86.96%, respectively). The confusion matrix and comparative analysis of AI and manual classification indicated that the decline in AI pre-classification precision and sensitivity was due to frequent misclassification between promonocytes and monocytes, as well as between monocytes and promyelocytes. Additionally, this decline is associated with dysplasia. However, the impact of dysplasia on the AI pre-classification of mature-stage granulocytes was minimal.Conclusion:The AI system demonstrated high precision, sensitivity, and specificity in pre-classifying blast cells in bone marrow and peripheral blood smears from AML-MR patients. The AI-assisted morphological analysis system can be effectively utilized for the pre-classification of blood cells in AML-MR patients.

Objective:To explore the immunophenotypic differences between acute promyelocytic leukemia (APL) and APL-like NPM1 mutant acute myeloid leukemia (NPM1mutAML) using flow cytometry, and to investigate early diagnostic markers for differentiating APL from NPM1mutAML.Methods:A retrospective study was conducted on 72 cases of APL diagnosed at Taizhou Hospital, affiliated with Wenzhou Medical University, from February 2nd, 2018 to December 16th, 2023, including 42 male and 30 female patients with a median age of 42 (32, 57) years old. Based on morphology, 51 cases were classified as the coarse-granular type and 21 cases as the fine-granular type. Additionally, 45 cases of NPM1mutAML, comprising 20 male and 25 female patients with a median age of 58 (47, 65) years old, were included. Of these, 12 cases were classified as the coarse-granular type and 33 as the fine-granular type. Immunophenotypic analysis was performed using multiparameter flow cytometry, and all patients underwent cytogenetic analysis for chromosome karyotyping. FISH analysis was used for detecting the PML-RARα fusion gene in APL cases, and sequencing was used for identifying NPM1 mutations in NPM1mutAML patients. The antigen expression parameters (expression rate, median fluorescence intensity [MdFI], and coefficient of variation [ CV]) were analyzed using principal component analysis (PCA). The antigen expression rates were compared using the Wilcoxon rank-sum test, and the positive rates of antigens were compared using the Chi-square test. Sensitivity and specificity for diagnosis by the some antigens were evaluated using ROC curve analysis. Results:The immunophenotypic analysis revealed that the expression rates of CD123, CD64, CD13, and CD9 were significantly higher in APL compared to NPM1mutAML ( Z values of-6.72, -6.29, -5.63, -7.67, P<0.01). In the coarse-granular type, the expression rates of CD123 and CD9 in APL were also significantly higher than those in NPM1mutAML ( P<0.01). In the fine-granular type, the expression levels of CD123, CD13, CD64, and CD9 were significantly higher in APL than in NPM1mutAML ( P<0.01). ROC curve analysis showed that in the fine-granular type, the areas under the curve (AUC) for CD64, CD13, CD123, and CD9 in diagnosing APL and NPM1mutAML were 0.96, 0.89, 0.86, and 0.89, respectively ( P<0.01). In the coarse-granular type, the AUC for CD64 and CD13 were 0.49 and 0.51 ( P>0.05), while the AUC for CD123 and CD9 were 0.96 and 0.96 ( P<0.01). Principal component analysis (PCA) of antigen expression (expression rate, MdFI, CV) showed complete separation of the APL and NPM1mutAML groups. Conclusion:APL and APL-like NPM1mutAML patients exhibit distinct antigen expression profiles. Specifically, a combined detection of CD64, CD13, CD123, and CD9 can help to rapidly differentiate APL from APL-like NPM1mutAML at initial diagnosis.

The injury of the posterior Angle of the medial meniscus of the knee joint is very common in clinic, and the arthroscopic treatment of the knee joint has been the first choice. However, there are many difficulties in arthroscopic treatment, such as narrow space in the medial posterior corner of the knee joint, insufficient space to deal with the injured meniscus, varion and lateral rotation under 30° flexion, release of the medial collateral ligament of the knee joint, and expansion of the knee joint cavity spinner, all of which could expose and expand the medial space of knee joint. Therefore, it is necessary to master and balance the use to avoid collateral injury. It is also necessary to determine the cause of meniscus injury during arthroscopic treatment, such as degenerative injury, simple meniscus repair and forming can hardly solve the pain of patients. Anterior cross injury is easy to cause instability of the knee joint, which is closely related to the injury of the posterior angle of the medial meniscus of the knee joint. In order to achieve the maximum therapeutic effect, physiological repair should be performed at the same time. There are various types of medial meniscus posterior angle injury, among which the Ramp injury, root fracture and laminae meniscus injury are greatly affected by joint degeneration, narrow knee space or knee stability, and all influencing factors should be fully considered in treatment.
Humans ; Arthroscopy/methods* ; Tibial Meniscus Injuries/surgery* ; Knee Joint/surgery* ; Menisci, Tibial/surgery* ; Knee Injuries/surgery*

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

OBJECTIVE: To investigate the relationship between peripheral blood T-cell immunoglobulin mucin-3 (TIM-3) and iron overload in patients with myelodysplastic syndrome (MDS) undergoing red blood cell transfusion. METHODS: 120 MDS patients who received treatment at Wuhan Third Hospital from June 2020 to May 2022 were included and analyzed as research subjects, all of whom met the indications for red blood cell transfusion. Blood routine and biochemical indicators were tested before transfusion, and general clinical data of the patients were statistically analyzed. The iron metabolism status of the patients were evaluated. The clinical characteristics of patients with iron overload and the factors affecting iron overload were analyzed. And a correlation analysis was conducted between TIM-3 and other factors affecting iron overload. RESULTS: Among the 120 MDS patients included in this study, 82 cases (68.33%) were detected to have iron overload after red blood cell transfusion. The occurrence time of iron overload was 20-42 weeks, with an average time of 32.35±5.26 weeks, calculated from the first transfusion of red blood cells. The proportion of patients with high-risk and extremely high-risk according to the revised International Prognostic Scoring System (IPSS-R) and WHO classification-based Prognostic Scoring System (WPSS), the volume of blood transfusions, the proportion of transfusion-dependent patients, and the levels of serum hepcidin (Hepc), erythropoietin (EPO), and TIM-3 in patients with iron overload were higher than those in patients with normal iron metabolism, and the differences were statistically significant (P < 0.05). Logistic regression analysis showed that high-risk and extremely high-risk according to WPSS, blood transfusion volume, transfusion dependence, and upregulation of serum Hepc, EPO, and TIM-3 expression were factors affecting iron overload in MDS patients undergoing red blood cell transfusion (P < 0.05). Pearson correlation analysis showed that serum TIM-3 level in MDS patients were positively correlated with the other factors affecting iron overload (P < 0.05). CONCLUSION Serum TIM-3 is associated with iron overload in MDS patients undergoing red blood cell transfusion, and upregulation of serum TIM-3 expression increases the risk of iron overload after red blood cell transfusion.
Humans ; Myelodysplastic Syndromes/blood* ; Iron Overload/blood* ; Hepatitis A Virus Cellular Receptor 2/blood* ; Erythrocyte Transfusion ; Male ; Female ; Middle Aged ; Aged ; Iron

Aim To investigate the effect of long-chain non-coding RNA(lncRNA)GS1-124K5.4 targeting regulation of PRDX6 on proliferation,migration and in-vasion of lung squamous carcinoma(LUSC)cells and the underlying mechanism.Methods The expression level of lncRNA GS1-124K5.4 in lung cancer tissues and adjacent tissues of 60 patients with LUSC were de-termined by fluorescence in situ hybridization.The ex-pression level of lncRNA GS1-124K5.4 in human nor-mal lung cells and LUSC cells were determined by qRT-PCR.Two kinds of LUSC cells(NCI-H 1703,SK-MES-1)with highest expression level of lncRNA GS1-124K5.4 were selected for subsequent experi-ments.The distribution of lncRNA GS1-124K5.4 in cells was studied by fluorescence in situ hybridization and prokaryotic separation.The effect of knockdown of lncRNA GS1-124K5.4 on proliferation of NCI-H1703 and SK-MES-1 cells was studied by CCK-8 experiment and cell clone formation experiment;the effect of knockdown of lncRNA GS1-124K5.4 on migration of NCI-H1703 and SK-MES-1 cells was studied by cell scratch experiment and Transwell cell migration experi-ment;and the effect of knockdown of lncRNA GS1-124K5.4 on invasion of NCI-H1703 and SK-MES-1 cells was studied by Transwell invasion experiment.The protein to be bound by lncRNA GS1-124K5.4 was detected by RNA pull-down combined with mass spec-trometry and immune-precipitation.The effect of knockdown of lncRNA GS1-124K5.4 targeting PRDX6 on proliferation,migration and invasion of NCI-H1703 and SK-MES-1 cells was studied.Results(1)The fluorescence intensity of lncRNA GS1-124K5.4 in lung squamous cell carcinoma increased compared with that in adjacent tissues(P＜0.05),and the expression of lncRNA GS1-124K5.4 was related with lymph node metastasis and clinical stage(P＜0.05).(2)The ex-pression level of lncRNA GS1-124K5.4 in NCI-H1703,NCI-H520 and SK-MES-1 cells significantly increased(P＜0.05).(3)The result of fluorescence in situ hybridization experiment and nucleoplasm sepa-ration experiment showed that lncRNA GS1-124K5.4 was mainly distributed in cell nucleus.(4)The prolif-eration,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with knockdown of lncRNA GS1-124K5.4 significantly decreased(P＜0.05).(5)PRDX6 protein to be bound to LncRNA GS1-124K5.4 was determined by RNA pull-down combined with mass spectrometry and immunoprecipitation.(6)The prolif-eration,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with overexpression of lncRNA GS1-124K5.4 significantly increased(P＜0.05);the proliferation,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with knockdown of PRDX6 significantly decreased(P＜0.05);the proliferation,migration and invasion ability of NCI-H1703 and SK-MES-1 cells with overexpression of lncRNAGS1-124K5.4 and knockdown of PRDX6 showed no signifi-cant change(P＞0.05).Conclusions LncRNA GS1-124K5.4 is highly expressed in lung squamous cell carcinoma,and it may promote the proliferation,migration and invasion of lung squamous carcinoma cells by targeting the expression of PRDX6 protein.

Aim To explore the roles and mechanisms of long non-coding RNA(lncRNA)AC087388.1 and poly(A)binding protein cytoplasmic 1(PABPC1)in esophageal squamous cell carcinoma(ESCC).Meth-ods The expression level of AC087388.1 in ESCC tissues and cells was detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR)and fluorescence in situ hybridization experiments and its clinical relevance was analyzed.Cell counting kit-8(CCK-8),clone formation,scratch and Transwell inva-sion assays were used to detect the effects of knock-down of AC087388.1 on the cell viability,prolifera-tion,migratory,and invasion of ESCC cells respectively ability,and sub-localization in cells.RNA pull down and Western blot experiments were employed to verify the interaction between AC087388.1 and PABPC1 in ESCC cells.Salvage experiments were performed to detect the effect of AC087388.1 targeting PABPC1 on ESCC cells.Results AC087388.1 was highly ex-pressed in ESCC tissues and cells and positively corre-lated with clinical stage of ESCC patients,mainly local-ized in cytoplasm.Knockdown AC087388.1 inhibited ESCC cell viability,proliferation,migration and inva-sionability.PABPC1 was selected from the results of RNA Pull Down-MS experiments for subsequent experi-ments,and AC087388.1 was verified to bind to PAB-PC1 by RNA Pull Down and Western blot experiments.Overexpression of AC087388.1 was verified by rescue experiment to reverse the effects of knockdown of PAB-PC1 on ESCC cell viability,proliferation,migration and invasion.Conclusions High expression of AC087388.1 correlates with clinical stage and may be a risk factor for ESCC progression.AC087388.1 pro-motes the cell viability,proliferation,migration and in-vasive ability of ESCC cells by targeting PABPC1,which may be a novel biomarker for the diagnosis and treatment of ESCC.