Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

Objective This study aims to investigate and analyze the distribution of MN blood type among ethnic minorities in China. Methods Through a systematic retrieval of the 981 literature related to MN blood group distribution, 120 literature, meeting the criteria of this study, with complete data were selected. The literature covers 49 ethnic minorities. SPSS 26 statistical software was used to analyze the data. Results The results showed that among the 49 ethnic minorities in China, the phenotype distribution of MN blood type was MN>MM>NN, with proportions of 42.54%, 41.86%, and 15.06% respectively. The gene frequency for MN blood type exhibited a trend of m>n, with a gene frequency of m being 0.6313 and n being 0.3687. Cluster analysis divided the Chinese ethnic minorities into three groups based on the gene frequency for m, showing the characteristics of Group I>Group II>Group III. Conclusion The MN blood type characteristics in Chinese ethnic minorities show a higher frequency of the M gene compared to the N gene. The frequency of the M gene is higher in southern ethnic minorities than in northern ones. There are significant differences between southwestern ethnic minorities and the Han nationality, but no differences with long-term mixed/settled Han populations.
Humans ; China/ethnology* ; Minority Groups ; Ethnicity/genetics* ; Gene Frequency ; Asian People/genetics* ; Blood Group Antigens/genetics*

Objective To analyze the distribution of platelet antibodies in hospitalized patients and explore the clinical significance of platelet antibody detection. Methods A total of 95 987 hospitalized patient cases from a tertiary hospital in Xi'an from April 1, 2021 to December 31, 2023 were collected. Platelet antibodies were detected by solid-phase agglutination method. Statistical analysis was performed on variables including gender, age, blood type, department, history of blood transfusion, pregnancy history, and disease type. Results Among 95 987 hospitalized patients, the positive rate of platelet antibody detection reached 4.35%. The positive rate of platelet antibodies in female hospitalized patients (5.29%) was higher than that in male patients (3.31%), and the difference was statistically significant (x²=224.124). The positive rate of platelet antibodies in those with pregnancy history (7.92%) was higher than that in those without pregnancy history (4.19%), and the difference was significant (x²=292.773). Similarly, the positive rate of platelet antibodies in those with transfusion history (7.79%) was higher than that in those without transfusion history (3.97%), and the difference was significant (x²=300.209). There was a significant correlation between the positive rate of platelet antibodies and the number of pregnancies (x²=91.061). Conclusion The positive rate of platelet antibodies in 95 987 inpatient cases was 4.35%. The positive rate of platelet antibodies had a close relationship with a history of blood transfusions and pregnancies, and it increased with the number of pregnancies. For patients with multiple transfusion histories and pregnancy histories, screening for platelet antibodies holds significant diagnostic value.
Humans ; Female ; Male ; Adult ; Middle Aged ; Blood Platelets/immunology* ; Inpatients ; Aged ; Pregnancy ; Young Adult ; Adolescent ; Aged, 80 and over ; Autoantibodies/blood*

Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

Objective:To explore the risk factors of coal workers' pneumoconiosis, reveal the molecular mechanism of pyroptosis in peripheral blood of coal workers' pneumoconiosis patients, and provide new strategies and potential diagnostic biomarkers for the treatment of the disease.Methods:From January 1, 2020 to December 31, 2022, workers with suspected occupational diseases who were diagnosed with coal workers' pneumoconiosis in the Third People's Hospital of Xinjiang Uygur Autonomous Region were included in the study, including 77 patients with coal workers' pneumoconiosis stage Ⅰ, 10 patients with stage Ⅱ, 6 patients with stage Ⅲ, and 49 workers with dust-free lung disease as the control group. General information of the subjects was collected, blood samples were collected for routine blood and blood biochemical results, and plasma levels of interleukin (IL) -1β and IL-18 were measured. Combined with the results of clinical examination, multi-factor ordered logistic regression analysis was carried out to evaluate the influencing factors of coal workers' pneumoconiosis. At the same time, the expression of pyroptosis related proteins in blood cells was detected to reveal the molecular mechanism of coal workers' pneumoconiosis.Results:All 142 subjects were male, with an average age of (51.65±6.31) years old and an average working age of (15.94±9.38) years. There were significant differences in smoking age ( F=4.95, P=0.003) and lunch break distribution ( H=8.84, P=0.031) among all groups. The hemoglobin content of stage Ⅰ patients was higher than that of stage Ⅱ patients, and the neutrophil percentage of stage Ⅲ patients was higher than that of the other 3 groups ( P<0.05). The levels of total bilirubin and indirect bilirubin in stage Ⅰ patients were higher than those in control group, while the erythrocyte sedimentation rate in stage Ⅱ patients was higher than that in the other 3 groups ( P<0.05). The levels of IL-18 and IL-1β in stage Ⅲ of coal workers' pneumoconiosis were higher than those in the other 3 groups ( P<0.05). Multiple logistic regression analysis showed that smoking age ( OR=1.03, 95% CI: 1.00-1.06) and IL-1β level ( OR=4.61, 95% CI: 1.59-13.32) were independent risk factors for coal workers' pneumoconiosis ( P<0.05). Compared with the control group, the expression levels of nucleotide-binding of oligomeric domain-like receptor protein 3 (NLRP3), Caspase-1, GSDMD, Caspase-4 and other proteins in stage Ⅲ of coal workers' pneumoconiosis were significantly increased ( P<0.05) . Conclusion:Smoking age is a risk factor for coal workers' pneumoconiosis, IL-1β may be a potential biomarker for the diagnosis of coal workers' pneumoconiosis, and pyroptosis may play a role in the development of peripheral inflammation of coal workers' pneumoconiosis.

Objective:To explore the risk factors of coal workers' pneumoconiosis, reveal the molecular mechanism of pyroptosis in peripheral blood of coal workers' pneumoconiosis patients, and provide new strategies and potential diagnostic biomarkers for the treatment of the disease.Methods:From January 1, 2020 to December 31, 2022, workers with suspected occupational diseases who were diagnosed with coal workers' pneumoconiosis in the Third People's Hospital of Xinjiang Uygur Autonomous Region were included in the study, including 77 patients with coal workers' pneumoconiosis stage Ⅰ, 10 patients with stage Ⅱ, 6 patients with stage Ⅲ, and 49 workers with dust-free lung disease as the control group. General information of the subjects was collected, blood samples were collected for routine blood and blood biochemical results, and plasma levels of interleukin (IL) -1β and IL-18 were measured. Combined with the results of clinical examination, multi-factor ordered logistic regression analysis was carried out to evaluate the influencing factors of coal workers' pneumoconiosis. At the same time, the expression of pyroptosis related proteins in blood cells was detected to reveal the molecular mechanism of coal workers' pneumoconiosis.Results:All 142 subjects were male, with an average age of (51.65±6.31) years old and an average working age of (15.94±9.38) years. There were significant differences in smoking age ( F=4.95, P=0.003) and lunch break distribution ( H=8.84, P=0.031) among all groups. The hemoglobin content of stage Ⅰ patients was higher than that of stage Ⅱ patients, and the neutrophil percentage of stage Ⅲ patients was higher than that of the other 3 groups ( P<0.05). The levels of total bilirubin and indirect bilirubin in stage Ⅰ patients were higher than those in control group, while the erythrocyte sedimentation rate in stage Ⅱ patients was higher than that in the other 3 groups ( P<0.05). The levels of IL-18 and IL-1β in stage Ⅲ of coal workers' pneumoconiosis were higher than those in the other 3 groups ( P<0.05). Multiple logistic regression analysis showed that smoking age ( OR=1.03, 95% CI: 1.00-1.06) and IL-1β level ( OR=4.61, 95% CI: 1.59-13.32) were independent risk factors for coal workers' pneumoconiosis ( P<0.05). Compared with the control group, the expression levels of nucleotide-binding of oligomeric domain-like receptor protein 3 (NLRP3), Caspase-1, GSDMD, Caspase-4 and other proteins in stage Ⅲ of coal workers' pneumoconiosis were significantly increased ( P<0.05) . Conclusion:Smoking age is a risk factor for coal workers' pneumoconiosis, IL-1β may be a potential biomarker for the diagnosis of coal workers' pneumoconiosis, and pyroptosis may play a role in the development of peripheral inflammation of coal workers' pneumoconiosis.

The family readiness for discharge of premature infants in the Neonatal Intensive Care Unit (NICU) is an important index to evaluate the safe discharge of premature infants, and a good family discharge readiness is the basic guarantee for the smooth recovery and healthy growth of premature infants. This article summarizes the concept, influencing factors, and intervention strategies of family discharge readiness for premature infants in NICU, in order to provide reference for the formulation and improvement of discharge readiness measures for premature infants in NICU.

OBJECTIVE: To provide an overview of the incidence of knee donor -site morbidity after autologous osteochondral mosaicplasty. METHODS: A comprehensive search was conducted in PubMed, EMbase, Wanfang Medical Network, and CNKI databases from January 2010 to April 20, 2021. Relevant literature was selected based on predefined inclusion and exclusion criteria, and data were evaluated and extracted. The correlation between the number and size of transplanted osteochondral columns and donor-site morbidity was analyzed. RESULTS: A total of 13 literatures were included, comprising a total of 661 patients. Statistical analysis revealed an incidence of knee donor-site morbidity at 8.6% (57/661), with knee pain being the most common complaint, accounting for 4.2%(28/661). There was no significant correlation between the number of osteochondral columns and postoperative donor-site incidence (P=0.424, N=10), nor between the diameter size of osteochondral columns and postoperative donor-site incidence(P=0.699, N=7). CONCLUSION Autologous osteochondral mosaicplasty is associated with a considerable incidence of knee donor-site morbidity, with knee pain being the most frequent complaint. There is no apparent correlation between donor-site incidence and the number and size of transplanted osteochondral columns. Donors should be informed about the potential risks.
Humans ; Incidence ; Cartilage/transplantation* ; Knee ; Knee Joint/surgery* ; Pain ; Cartilage, Articular ; Transplantation, Autologous ; Bone Transplantation