Objective Objective To analyze the potential spatial factors affecting the genetic differentiation of Oncomelania hupensis robertsoni in Yunnan Province. Methods A total of 13 administrative villages were selected from schistosomiasis-endemic areas of Yunnan Province as O. hupensis snail sampling sites. At least 200 snails were collected in each site, and the spatial variable data of each site were recorded, including longitude, latitude and altitude. Thirty active and Schistosoma japonicum uninfected O. hupensis snails were selected from each sampling site by means of the crawling method and the cercarial shedding method. Genomic DNA was extracted from O. hupensis snails. Following PCR amplification, purification of PCR amplification products and sequencing, the gene sequences of O. hupensis snail samples were spliced and edited using the DNAstar software and the NCBI database to yield the complete mitochondrial sequences of O. hupensis snails at each sampling site, and the mitochondrial genetic distance matrix of O. hupensis robertsoni was calculated at each sampling site. The geographical coordinates of each sampling site were marked using the software ArcGIS 10.2, and the straight-line geographical distance between each sampling site was calculated. The altitude difference, longitude difference and latitude difference between each sampling site were calculated using the Excel software, and the correlation between the mitochondrial genetic distance matrix of O. hupensis robertsoni and each spatial variable matrix was examined by using the Mantel test at 13 sampling sites in Yunnan Province. Results Among the 13 O. hupensis snail sampling sites in Yunnan Province, the largest mitochondrial genetic distance of O. hupensis robertsoni snail populations was seen between Anding Village, Nanjian Yi Autonomous County and Caizhuang Village, Midu County (26.244 2), and the largest geographical distance was seen between Dongyuan Village, Gucheng District and Cangling Village, Chuxiong County (272.64 km). The highest altitude difference was seen between Anding Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1 086.10 m), and the largest longitude difference was found between Qiandian Village, Eryuan County and Cangling Village, Chuxiong County (1.86°), while the largest latitude difference was measured between Leqiu Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1.81°). In addition, the mitochondrial genetic distance of O. hupensis robertsoni snail populations was positively correlated with altitude at 13 snail sampling sites in Yunnan Province (r = 0.542 8, P < 0.001), and showed no significant correlations with geographical distance (r = 0.093 4, P > 0.05), longitude (r = −0.199 5, P > 0.05) or latitude (r = 0.205 7, P > 0.05). Conclusion Altitude may be a potential spatial factor affecting the genetic differentiation of O. hupensis robertsoni in Yunnan Province.

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

OBJECTIVE: To explore the safety and efficacy of high-dose etoposide (VP-16) combined with recombinant human granulocyte colony-stimulating factor (rhG-CSF) as salvage mobilization for peripheral blood stem cells (PBSC) in newly diagnosed multiple myeloma (NDMM) patients. METHODS: From April 2021 to May 2023, eight NDMM patients who had failed to yield sufficient PBSC during initial mobilization with high-dose cyclophosphamide (CTX) combined with rhG-CSF underwent salvage mobilization with 1.2 g/m2 etoposide combined with rhG-CSF 10 μg/(kg·d). The effects and adverse reactions of initial mobilization and salvage mobilization were analyzed. RESULTS: For salvage mobilization and initial mobilization, the numbers of PBSC collections were 16 and 18, respectively. The mean value of total collected CD34⁺ cells were (11.90±5.75)×10⁶/kg and (1.67±0.75)×10⁶/kg (P =0.0010) in salvage mobilization group and initial mobilization group, respectively. The proportion of patients with a total collection of CD34⁺ cell count≥2×10⁶/kg were 100% and 37.5% (P =0.0625), and the proportion of patients with a total collection of CD34⁺ cell count≥5×10⁶/kg were 87.5% and 0% (P =0.0156) in salvage mobilization group and initial mobilization group, respectively. For five patients who underwent high-dose CTX initial mobilization but had a total CD34⁺ cell count < 2×10⁶/kg, successful collection was achieved through salvage mobilization with high-dose VP-16. Salvage mobilization with high-dose VP-16 was scheduled 2-3 weeks after failure of CTX mobilization. Adverse reactions of high-dose VP-16 mobilization did not increase compared to the initial mobilization with high-dose CTX. CONCLUSION As a salvage mobilization regimen, VP-16 1.2 g/m² combined with rhG-CSF is safe and highly effective in NDMM patients who failed to initial mobilization with high-dose CTX combined with rhG-CSF.
Humans ; Multiple Myeloma/therapy* ; Etoposide/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Cyclophosphamide/therapeutic use* ; Granulocyte Colony-Stimulating Factor ; Salvage Therapy ; Peripheral Blood Stem Cells ; Male ; Middle Aged ; Female ; Peripheral Blood Stem Cell Transplantation

Objective:To construct a decision tree model to predict the risk of breast cancer in patients with pathological nipple discharge.Methods:A total of 157 patients with pathological nipple discharge,who were diagnosed and treated at Weifang Municipal Hospital of Traditional Chinese Medicine from January 2019 to April 2024 and met the inclusion criteria,were selected.A risk prediction model for concurrent breast cancer in patients with pathological nipple discharge was developed using Logistic regression analysis.A decision tree was then constructed,and the predictive performance of the model was assessed based on the area under the receiver operating characteristic curve(AUC).Re-sults:The incidence of concurrent breast cancer among patients with pathological nipple discharge was 24.2%.Accord-ing to the results of binary Logistic regression analysis,elevated CEA and CA 153 levels in nipple discharge,as well as bloody discharge,emerged as independent risk factors for the development of breast cancer in such patients(P<0.05).Based on these findings,a decision tree model was constructed to predict the risk of concurrent breast cancer in patients with pathological nipple discharge.The validation results showed that the Logistic regression model had an AUC value of 0.800,while the decision tree model achieved an AUC value of 0.889.Conclusions:The decision tree model,built upon the identified influencing factors,exhibits strong predictive power for the risk of developing concurrent breast can-cer in patients with pathological nipple discharge,thus facilitating more precise preoperative diagnoses by clinicians for these patients.

Objective To propose a dynamic electrical impedance tomography imaging algorithm based on complementary information fusion network(CIFN)to enhance image quality of dynamic electrical impedance imaging.Methods There were three modules for initialization,multi-frame complementary information extraction and information fusion involved in the CIFN.Firstly,multi-frame dynamic conductivity distribution images were obtained by the initialization module;secondly,spatial complementary information was extracted from the images by using the multi-frame complementary information extraction module;finally,the fusion of lesion target distribution information and target re-reconstruction were realized by the information fusion module to aquire high-quality EIT images.With a 16-electrode multilayer cranial simulation model,the CIFN-based imaging method was compared with Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm in terms of imaging results of types of lesions to verify its performance.Results Compared with the Tikhonov regularization algorithm,spectral constraint algorithm and U-Net algorithm,the proposed CIFN-based algorithm exhibited the lowest mean absolute error(MAE)and the highest structural similarity(SSIM)when used to image different lesion targets,which accurately reconstructed the distribution of lesion targets and gained high imaging stability under common noise levels.Conclusion The proposed CIFN-based imaging algorithm obtains high imaging quality on a cranial simulation model and reconstruction results close to the real model distribution,which provides algorithmic support for subsequent clinical studies on electrical impedance imaging.[Chinese Medical Equipment Journal,2025,46(6):1-6]

Objective:To investigate the efficacy, safety and possible mechanisms of celecoxib as an adjunctive treatment for schizophrenia.Methods:90 schizophrenic inpatients at the second affiliated hospital of Xinxiang Medical College from April 2019 to October 2020 were recruited and randomly assigned to a placebo group or the celecoxib adjunctive treatment group using a random number table. In the placebo group, 46 patients (29 males, 17 females; aged 21-34, mean age 27.46±6.50 years) completed a 6-week follow-up. In the celecoxib group, 44 patients (32 males, 12 females; aged 21-39, mean age 30.52±8.69 years) completed a 6-week follow-up. The Positive and Negative Syndrome Scale (PANSS) was used to assess psychiatric symptoms in both groups. Changes in PANSS score at the end of the treatment were compared to evaluate the efficacy of celecoxib. Metabolic indicators such as weight, body mass index, waist circumference and plasm glucolipid, as well as cardiovascular indicators like blood pressure, electrocardiogram and routine blood tests, and adverse events were collected for the safety evaluation. Serum tumor necrosis factor-α (TNF-α), Interleukin-4 (IL-4) and interferon-γ (IFN-γ) were also tested. Pearson correlation analysis was used to explore the relationship between cytokine levels, PANSS score, PANSS reduction rate [(pre-treatment score-post-treatment score)/pre-treatment score×100%], and the safety measurements in the two groups, analyzing the role of inflammation in celecoxib adjunctive therapy.Results:The change of PANSS positive score at the end of the 6th week was significantly higher in the celecoxib adjuvant treatment group than in the placebo group (-8.00±6.12 vs -4.78±5.19, H=-0.55, P=0.009). The weight changes, body mass index, total cholesterol, and triglycerides over 6 weeks were significantly lower in the celecoxib group compared to the placebo group ( F=-7.37, -7.30, 2.56, -2.54; all P<0.05). No serious adverse events were found in celecoxib adjuvant therapy. In the placebo group, baseline TNF-α levels were positively correlated with baseline negative symptoms and PANSS reduction rate ( r=0.260 and 0.330, both P<0.05), and negatively correlated with the 6-week weight ( r=-0.311, P<0.05); baseline IL-4 levels were positively correlated with the 6-week PANSS total score and the 6-week PANSS negative score ( r=0.320 and 0.397, both P<0.05), and negatively correlated with PANSS reduction rate and 6-week blood glucose ( r=-0.316 and -0.331, both P<0.05); Six-week IFN-γ levels were negatively correlated with low-density lipoprotein levels ( r=-0.306, P<0.05). And no such correlation was found in celecoxib adjuvant group. Conclusion:Celecoxib adjunctive therapy can improve positive symptoms of schizophrenia without causing adverse reactions. Inflammatory state is related to schizophrenia symptoms, treatment efficacy and metabolic abnormalities.

Objective:To investigate the change of collagen fibers in locally recurrent esophageal squamous cell carcinoma after radical chemoradiotherapy and the discrepancy of adverse effects and survival outcomes among groups with different salvage treatments, provide references for the options of salvage therapy.Methods:Medical records of 137 patients with esophageal squamous cell carcinoma who received radical chemoradiotherapy and had local recurrence admitted to Cancer Center of Renmin Hospital of Wuhan University from January 2015 to September 2022 were retrospectively collected. The expression of collagen fibers in paraffin samples of cases with different recurrence time was determined by Masson staining, and the differences of the average optical density were calculated. According to the salvage treatment after local recurrence, all cases were divided into the salvage surgery group, second-course chemoradiotherapy group and immunochemotherapy group. The differences of survival outcomes and incidence rates of esophageal tracheal fistula, hemorrhage, pericardial effusion, radiation pneumonitis, radiation esophagitis were analyzed among the three groups. The differences of survival rates were analyzed by Kaplan-Meier method and compared by log-rank test among groups.Results:The expression of collagen fibers in recurrent esophageal squamous cell carcinoma was significantly higher than that in primary esophageal squamous cell carcinoma. Collagen fiber expression was gradually down-regulated with the prolongation of recurrence time. The expression of collagen fibers in recurrent cases after 7 years was similar to that of primary esophageal squamous cell carcinoma. The 1-, 2- and 3-year survival rates of patients in the salvage surgery group, the second-course chemoradiotherapy group and the immunochemotherapy group were 47%, 30%, 20%; 50%, 27%, 15% and 72.5%, 50%, 50%, respectively; Immunochemotherapy was more effective in salvage treatment for recurrent esophageal squamous cell carcinoma, but there was no statistical difference.Conclusions:Collagen fibers are abundant in recurrent esophageal squamous cell carcinoma after radical chemoradiotherapy. With prolongation of recurrent interval, the expression of collagen fibers is down-regulated. The survival outcomes of patients in the immunochemotherapy group, salvage surgery group and second-course chemoradiotherapy group were comparable.

Objective To construct a prediction model for postoperative healthcare-associated infection(HAI)in elderly patients with hip fracture,analyze the economic burden,provide a reference and basis for the development of clinical prevention and control programs.Methods 627 elderly patients who underwent hip fracture surgery in a hospital from January 1,2017 to May 31,2023 were selected as the study subjects.Patients were randomly divided into a modeling group and a validation group at a 7:3 ratio.A logistic regression prediction model was constructed based on data from the modeling group,the discriminant and consistency of the model were evaluated by receiver ope-rating characteristic(ROC)curve and Hosmer-Lemeshow test,and the direct economic burden of postoperative HAI in patients was analyzed with 1∶1 propensity score matching(PSM).Results The incidence of postoperative HAI in elderly patients with hip fracture surgery was 12.1％,with pulmonary infection being the most common(52.6％).Logistic regression analysis showed that male,old age,perioperative disturbance of consciousness,gradeⅣ of American Society of Anesthesiologists(ASA)classification,low albumin level,and intensive care unit(ICU)admission were all independent risk factors for postoperative HAI in patients(all P＜0.05).There was good model discrimination and consistency between the training and validation groups in predicting the risk of postoperative HAI.The direct economic burden of postoperative HAI in patients was 7 927.4 Yuan,of which the burden of wes-tern medicine was the largest(3 139.7 Yuan).HAI prolonged patients hospitalization time by 3.6 days.Conclusion Postoperative HAI increases the economic burden of patients,the nomogram model constructed in this study can effectively predict the risk of postoperative HAI in patients,which can provide a basis for the early identification,as well as the implementation of targeted preventive and diagnostic measures for high-risk patients in the clinic.