Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

OBJECTIVES: To evaluate preterm white matter injury (PWMI) in neonatal rats using multimodal magnetic resonance imaging (MRI) combined with histological assessments and to explore its underlying mechanisms. METHODS: Healthy 3-day-old Sprague-Dawley neonatal rats were randomly divided into a sham operation group and a PWMI group (n=12 in each group). A PWMI model was established in neonatal rats through hypoxia-ischemia. Laser speckle imaging was used to observe changes in cerebral oxygen saturation and blood flow at different time points post-modeling. Multimodal MRI was employed to assess the condition of white matter injury, while hematoxylin-eosin staining was utilized to observe morphological changes in the striatal area on the injured side. Immunofluorescence staining was performed to detect the proliferation and differentiation of oligodendrocyte precursor cells. RESULTS: At 0, 6, 12, 24, and 72 hours post-modeling, the relative blood flow and relative oxygen saturation on the injured side in the PWMI group were significantly lower than those in the sham operation group (P<0.05). At 24 hours post-modeling, T2-weighted imaging showed high signals in the white matter of the injured side in the PWMI group, with relative apparent diffusion coefficient values and Lorenz differential values being lower than those in the sham operation group (P<0.001); additionally, the arrangement of nerve cells in the PWMI group was disordered, and the number of EdU⁺PDGFR-α⁺ cells was higher than that in the sham operation group (P<0.001). At 28 days post-modeling, the relative fractional anisotropy values, the number of EdU⁺Olig2⁺ cells, and the fluorescence intensity of myelin basic protein and neurofilament protein 200 in the white matter region of the PWMI group were all lower than those in the sham operation group (P<0.001). CONCLUSIONS Multimodal MRI can evaluate early and long-term changes in PWMI in neonatal rat models in vivo, providing both imaging and pathological evidence for the diagnosis and treatment of PWMI in neonates. Hypoxia-ischemia inhibits the proliferation and differentiation of oligodendrocyte precursor cells in neonatal rats, leading to PWMI.
Animals ; Rats, Sprague-Dawley ; Magnetic Resonance Imaging/methods* ; Rats ; White Matter/injuries* ; Animals, Newborn ; Female ; Multimodal Imaging ; Male ; Hypoxia-Ischemia, Brain/pathology*

Objective:This study aimed to evaluate the prognostic factors of clinical and histopathological parameters,including age,gender,tumor stage,tumor grade,tumor differentiation,lymph node metastasis(LNM),tumor frequency,and tumor count,in patients undergoing radical cystectomy(RC)combined with Mainz Pouch Ⅱ bladder reconstruction.Methods:A total of 237 bladder cancer patients(198 male and 39 female)who underwent RC combined with Mainz Pouch Ⅱ bladder reconstruction without chemotherapy or radiotherapy,from January 2004 to January 2023,were included in this study.Kaplan-Meier and Cox regression analyses were performed to assess the impact of age,tumor grade,tumor stage,tumor differentiation,LNM,tumor frequency,and tumor count on 5-year overall survival(OS)and 5-year cancer-specific survival(CSS).Results:The mean age at diagnosis was 59.8 years,with 198 male and 39 female patients.The mean follow-up duration was 47.8 months.In univariate analysis,patients younger than 65 years had significantly higher 5-year OS and 5-year CSS compared to those aged≥65 years.Patients with urothelial carcinoma showed better 5-year OS than those with non-urothelial carcinoma.Additionally,tumor stage,tumor grade,and LNM were negatively associated with 5-year OS and 5-year CSS.On multivariate analysis,only tumor grade and LNM remained statistically significant(P<0.05).Conclusions:Tumor grade and LNM were identified as independent prognostic risk factors for 5-year OS and 5-year CSS following RC combined with Mainz PouchⅡ bladder reconstruction.Moreover,the application of RC combined with Mainz Pouch Ⅱ bladder reconstruction should consider the patient's preferences and physical condition.

Objective:To investigate the correlation between carotid-femoral pulse wave velocity(cfPWV)and carotid artery structural,hemodynamic,and cardiac functional parameters.Methods:A total of 420 healthy volunteers who underwent neck ultrasound,cardiac ultrasound,and cfPWV examination at Kailuan General Hospital from June 2022 to February 2023 were selected,and they were divided into two groups based on the atherosclerosis threshold value of cfPWV>10 m/s,which included high cfPWV group(140 cases,cfPWV>10 m/s)and low cfPWV group(280 cases,cfPWV≤10 m/s).The demographic data(age,sex)of 420 persons were collected,and the common carotid artery diameter(CCAD),common carotid artery intima-media thickness(CIMT),plaque status,peak systolic velocity(PSV),end-diastolic velocity(EDV)and mean flow velocity(MFV)were compared between two groups.Then,the differences of interventricular septal thickness(IVST)of heart,left ventricular posterior wall thickness(LVPWT),the ratio of blood flow velocity at early stage to that at advanced stage in mitral valve(E/A)and stroke volume(SV)were analyzed.Multivariate logistic regression was adopted to analyze the independent influence factors of cfPWV enhancement.Results:The average age of high cfPWV group was(61.31±9.66)years old,which was significantly higher than(51.06±10.47)years old of low cfPWV group,and the difference of that was significant(t=-9.56,P<0.01).In the parameters of common carotid artery,63 persons(45.0%)occurred plaque in 140 persons of high cfPWV group,which was significantly lower than 50 persons(17.86%)in 280 persons of low cfPWV group,and the difference of that between two groups was significant(x2=34.97,P<0.05).The differences of CCAD,CIMT,PSV,EDV and MV of common carotid artery at right side of persons between two groups were significant(t=-2.16,-5.40,4.52,5.59,5.04,P<0.05),respectively.The parameters of heart showed that the LVPWT thickness increased(9.35±1.13)mm,and the ratio of E/A<1 increased 77.86%in high cfPWV group,which were significantly related to the increase of cfPWV(r=0.27,0.38,P<0.01).Multivariate logistic regression analysis indicated that age(OR=1.05,95%CI:1.02-1.08),CCAD(OR=1.63,95%CI:1.22-2.16),plaque presence(OR=1.84,95%CI:1.07-3.17),LVPWT(OR=1.35,95%CI:1.05-1.72),and the ratio of E/A<1(OR=2.37,95%CI:1.32-4.26)were independent predictors of cfPWV enhancement.Conclusion:The enhancement of cfPWV is closely related to high age,the reconstruction of common carotid artery(widening of inside diameter,and plaque formation),left ventricular hypertrophy,and diastolic abnormality,which indicates it is possible that atherosclerosis process accompanies by the change of interaction mechanism of blood vessels-heart.

Objective:To construct a failure mode and effects analysis(FMEA)evaluation model for medical devices to manage devices,so as to enhance management efficiency for medical devices.Methods:The FMEA was adopted to construct FMEA evaluation model for medical devices,so as to conduct comprehensive lifecycle management for medical devices.The process of management for equipment was optimized,and the operational risk of medical devices was reduced through failure mode(FM)analysis and the construction of management system for equipment.A total of 47 medical devices in clinical use of The First People's Hospital of Neijiang from January to December 2023 were included.In them,23 devices received conventional management mode during January and June 2023,and 24 devices received FMEA evaluation model(model management mode)during July and December 2023.For each group,2,000 patients'medical records were selected.The control effectiveness of infectious indicators,effect of cleaning and disinfection,and quality scores of infectious control for medical devices were compared between different management modes.A self-designed questionnaire was adopted to investigate the recognition scores of engineers who used and managed devices,operators,physicians,and department administrators for two kinds of management modes.Results:In 2,000 patients'medical records,who adopted model management mode,the infection rate of patients,and infection rate of aseptic surgical incision were respectively 0.15%and 0.05%,both were significantly lower than those in the conventional management mode(x2=5.420,8.358,P<0.05).The cleaning rate,and disinfection qualification rate of 24 medical devices,which adopted model management mode,were respectively 83.33%and 87.50%,all of which were significantly higher than these of conventional management mode(x2=8.080,6.741,P<0.05).The scores of standardized operation,rational use,disinfection and cleaning,and emergency intervention for medical devices in adopting model management mode were significantly higher than those in adopting conventional management mode(t=14.435,16.014,13.049,12.537,P<0.05).The recognition scores of engineers who used and managed devices,operators,physicians,and department administrators for adopting model management mode were significantly higher than those for adopting conventional management mode,and the differences were significant(t=12.219,12.147,17.437,13.420,P<0.05).Conclusion:The FMEA evaluation model for medical devices can real-time monitor the entire management process for medical devices,and reduce clinical infections,and ensure normal operation of devices,and improve clinically operational quality of them,and increase satisfaction of staffs in clinical departments.

Objective To investigate the clinical characteristics and prognostic risk factors in elderly patients with acute myeloid leukemia(AML).Methods A retrospective analysis was conducted on the clinical data of 101 elderly AML patients admitted to Affiliated Hospital of Jiaxing University from January 2022 to December 2024.All patients were treated with azacitidine+venetoclax regimen.The clinical characteristics of patients and the risk factors related to prognosis were explored.Results The median follow-up was 14 months.Among the 101 patients,74 achieved complete remission or complete remission with incomplete hematological recovery.The median overall survival(OS)of patients with aged ≥70 years,white blood cell count＞50 × 109/L,TP53 mutation,complex chromosomes,and high-risk European leukemia net(ELN)risk stratification was significantly shortened(P＜0.05).Multivariate analysis showed that age(HR=0.125,95％CI:0.023-0.662,P=0.015),white blood cell count(HR=0.145,95％CI:0.032-0.662,P=0.013),and ELN risk stratification(HR=100.397,95％CI:14.395-700.207,P＜0.001)were all independent influencing factors for OS in elderly AML patients.Conclusion Age,white blood cell count and ELN risk stratification are all independent influencing factors affecting OS in elderly AML patients.

Purpose: Adjuvant chemotherapy (AC) is recommended for muscle-invasive or lymph node-positive upper urinary tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). However, disease recurrences are frequently observed in pT1 disease, and AC may increase the risk of overtreatment in pT2 UTUC patients. This study aimed to validate a risk-adapted scoring model for selecting UTUC patients with ≤pT2 disease who would benefit from AC. Materials and Methods: We retrospectively analyzed 443 ≤pT2 UTUC patients who underwent RNU. A risk-adapted scoring model was applied, categorizing patients into low- or high-risk groups. Recurrence-free survival (RFS) and cancer-specific survival (CSS) were analyzed according to risk group. Results: Overall, 355 patients (80.1%) and 88 patients (19.9%) were categorized into the low- and high-risk groups, respectively, with the latter having higher pathological stages, concurrent carcinoma in situ, and synchronous bladder tumors. Disease recurrence occurred in 45 patients (10.2%), among whom 19 (5.4%) and 26 (29.5%) belonged to the low- and high-risk groups, respectively (p<0.001). High-risk patients had significantly shorter RFS (64.3% vs. 93.6% at 60 months; hazard ratio [HR] 13.66; p<0.001) and worse CSS (80.7% vs. 91.5% at 60 months; HR 4.25; p=0.002). Multivariate analysis confirmed that pT2 stage and the high-risk group were independent predictors of recurrence and cancer-specific death (p<0.001). Decision curve analysis for RFS showed larger net benefits with our model than with the T stage model. Conclusions The risk-adapted scoring model effectively predicts recurrence and identifies optimal candidates for AC post RNU in non-metastatic UTUC.

OBJECTIVE: To identify early potential risk factors for hospital-acquired pneumonia (HAP) in patients with mild traumatic brain injury (mTBI), construct a risk prediction model, and evaluate its predictive efficacy. METHODS: A case-control study was conducted using clinical data from mTBI patients admitted to the neurosurgery department of Changzhou Second People's Hospital from September 2021 to September 2023. The patients were divided into two groups based on whether they developed HAP. Clinical data within 48 hours of admission were statistically analyzed to identify factors influencing HAP occurrence through univariate analysis. Least absolute shrinkage and selection operator (LASSO) regression analysis was employed for feature selection to identify the most influential variables. The dataset was divided into training and validation sets in a 7:3 ratio. A multivariate Logistic regression analysis was then performed using the training set to construct the prediction model, exploring the risk factors for HAP in mTBI patients and conducting internal validation in the validation set. Receiver operator characteristic curve (ROC curve), decision curve analysis (DCA), and calibration curve were utilized to assess the sensitivity, specificity, decision value, and predictive accuracy of the prediction model. RESULTS: A total of 677 mTBI patients were included, with 257 in the HAP group and 420 in the non-HAP group. The significant differences were found between the two groups in terms of age, maximum body temperature (MaxT), maximum heart rate (MaxHR), maximum systolic blood pressure (MaxSBP), minimum systolic blood pressure (MinSBP), maximum respiratory rate (MaxRR), cause of injury, and laboratory indicators [C-reactive protein (CRP), procalcitonin (PCT), neutrophil count (NEUT), erythrocyte sedimentation rate (ESR), fibrinogen (FBG), fibrinogen equivalent units (FEU), prothrombin time (PT), activated partial thromboplastin time (APTT), total cholesterol (TC), lactate dehydrogenase (LDH), prealbumin (PAB), albumin (Alb), blood urea nitrogen (BUN), serum creatinine (SCr), hematocrit (HCT), hemoglobin (Hb), platelet count (PLT), glucose (Glu), K⁺, Na⁺], suggesting they could be potential risk factors for HAP in mTBI patients. After LASSO regression analysis, the key risk factors were enrolled in the multivariate Logistic regression analysis. The results revealed that the cause of injury being a traffic accident [odds ratio (OR) = 2.199, 95% confidence interval (95%CI) was 1.124-4.398, P = 0.023], NEUT (OR = 1.330, 95%CI was 1.214-1.469, P < 0.001), ESR (OR = 1.053, 95%CI was 1.019-1.090, P = 0.003), FBG (OR = 0.272, 95%CI was 0.158-0.445, P < 0.001), PT (OR = 0.253, 95%CI was 0.144-0.422, P < 0.001), APTT (OR = 0.689, 95%CI was 0.578-0.811, P < 0.001), Alb (OR = 0.734, 95%CI was 0.654-0.815, P < 0.001), BUN (OR = 0.720, 95%CI was 0.547-0.934, P = 0.016), and Na⁺ (OR = 0.756, 95%CI was 0.670-0.843, P < 0.001) could serve as main risk factors for constructing the prediction model. Calibration curves demonstrated good calibration of the prediction model in both training and validation sets with no evident over fitting. ROC curve analysis showed that the area under the ROC curve (AUC) of the prediction model in the training set was 0.943 (95%CI was 0.921-0.965, P < 0.001), with a sensitivity of 83.6% and a specificity of 91.5%. In the validation set, the AUC was 0.917 (95%CI was 0.878-0.957, P < 0.001), with a sensitivity of 90.1% and a specificity of 85.0%. DCA indicated that the prediction model had a high net benefit, suggesting practical clinical applicability. CONCLUSIONS The cause of injury being a traffic accident, NEUT, ESR, FBG, PT, APTT, Alb, BUN, and Na⁺ are identified as major risk factors influencing the occurrence of HAP in mTBI patients. The prediction model constructed using these parameters effectively assesses the likelihood of HAP in mTBI patients.
Humans ; Risk Factors ; Case-Control Studies ; Logistic Models ; Healthcare-Associated Pneumonia/epidemiology* ; Brain Injuries, Traumatic/complications* ; Male ; Female ; ROC Curve ; Pneumonia/etiology* ; Middle Aged ; Adult

Objective To summarize the best evidence related to the postoperative drainage-tube flushing in patients after receiving percutaneous transhepatic biliary drainage(PTBD),and to establish a systematic technological process for PTBD drainage-tube flushing,so as to provide evidence-based support for clinical nursing care.Methods A computerized retrieval of academic papers concerning the evidence related to the postoperative drainage-tube flushing in patients after receiving PTBD,including the guidelines,evidence summary,systematic evaluation,expert consensus,and original research,from the databases of Cochrane Library,Web of Science,PubMed,Embase,UpToDate,BMJ Best Practice,CNKI,Wanfang,etc.was conducted.The retrieval time period was from the establishment of the database to March 2024.Results A total of 8 articles were included in this study.Finally,18 best evidences were summarized based on the following 6 aspects:personnel qualification,timing of flushing,selection of flushing solution,flushing methods,precautions during flushing,and health guidance.Conclusion This study systematically retrieves the domestic and foreign evidence about the postoperative drainage-tube flushing in patients after receiving PTBD,scientifically evaluate the evidence,and summarize the best evidence,based on which a systematic technological process for PTBD drainage-tube flushing is established,providing a reference for the development of standardized draining tube flushing procedure in the future.

Objective:To determine the prevalence, risk factors, and longitudinal associations of loneliness during mid- to late pregnancy with anxiety and depressive symptoms in late pregnancy.Methods:In this prospective cohort study, 1 107 pregnant women at 24-28 weeks' gestation were enrolled between June 2021 and December 2022. Psychological status was assessed during mid-pregnancy (24-28 weeks) and late pregnancy (≥32 weeks) using standardized electronic questionnaires, including the Revised University of California Los Angeles Loneliness Scale (UCLA) Loneliness Scale-Short Form (Cronbach's α=0.82), Patient Health Questionnaire-9 ( α=0.86), and Generalized Anxiety Disorder-7 ( α=0.88). Multivariate logistic regression identified independent risk factors for loneliness. Cross-lagged path models analyzed the longitudinal predictions between loneliness and anxiety/depressive symptoms. Results:The prevalence of loneliness decreased significantly from 10.8% (120/1 107) in mid-pregnancy to 4.8% (37/777) in late pregnancy ( χ2=21.81, P<0.001). Multivariate analysis identified independent risk factors for loneliness: age <30 years ( OR=1.70, 95% CI: 1.15-2.50), annual household income <50 000 CNY ( OR=2.53, 95% CI: 1.28-5.02), unemployment during pregnancy ( OR=1.57, 95% CI: 1.03-2.39), history of alcohol consumption ( OR=1.63, 95% CI: 1.03-2.56), and the presence of mid-pregnancy depressive ( OR=2.76, 95% CI: 1.51-5.04) and anxiety symptoms ( OR=1.65, 95% CI: 1.01-2.71) (all P<0.05). Cross-lagged path models indicated bidirectional associations between loneliness and both anxiety ( β=0.32, P<0.01) and depressive symptoms ( β=0.28, P<0.01). However, the predictive effect of loneliness on subsequent depressive and anxiety symptoms ( β=0.28-0.32) was substantially stronger than the reverse prediction (mid-pregnancy anxiety on late-pregnancy loneliness: β=0.12; mid-pregnancy depression on late-pregnancy loneliness: β=0.11). Loneliness demonstrated high temporal stability (autoregressive effects β=0.29-0.32). Conclusion:Loneliness in mid-pregnancy exhibits a symmetric bidirectional association with anxiety and depressive symptoms in late pregnancy, suggesting it may be a core driver in the development of these emotional symptoms. Younger maternal age (<30 years), low household income (<50 000 CNY/year), unemployment during pregnancy, and a history of alcohol consumption were associated with a higher risk of loneliness and should be prioritized for psychological screening and intervention.