Objective:To explore the associated factors for membranous nephropathy (MN) patients with IgM deposition, and to construct a prediction model.Methods:This study was a retrospective cohort study. Patients diagnosed with MN with IgM deposition by renal biopsy in the Fourth Hospital of Hebei Medical University from February 2017 to December 2023 were retrospectively included. Clinical and pathological data were collected. The study population was randomized into a training set and a validation set at a 7:3 ratio. The endpoint event was defined as the remission of MN, and the patients were divided into remission group and non-remission group to compare the clinical and pathological examination results. Least absolute shrinkage and selection operator regression analysis and Cox regression analysis were used to explore the associated factors of poor prognosis of MN patients with IgM deposition. Internal validation was conducted using the validation set data. The clinical efficacy of the predictive model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve and generating calibration curves. The total nomogram score for each patient was calculated based on the training set data, and the predictive performance was assessed by plotting the ROC curve. Patients were then stratified into low-risk and high-risk groups according to the optimal cut-off value derived from the ROC analysis of the total nomogram score. Kaplan-Meier survival analysis was performed to compare the remission rate between the two groups. Model performance was evaluated using the validation set.Results:A total of 200 MN patients with IgM deposition were included, and 49.0% of them achieved clinical remission. In the training set, statistically significant differences were observed in 24-hour urine protein quantification ( Z=-2.638, P=0.008), renal arteriolar wall thickening ( χ2=6.891, P=0.009), the proportion of patients receiving immunosuppressive therapy ( χ2=21.381, P<0.001), and the proportion of patients treated with corticosteroids combined with cyclophosphamide ( χ2=10.107, P=0.001). Through least absolute shrinkage and selection operator regression and Cox regression, 2 factors associated with clinical remission in MN patients with IgM deposition were simultaneously identified from 16 potential associated factors, including the use of immunosuppressants ( HR=3.823, 95% CI 2.055-7.113, P<0.001), and renal arteriolar wall thickening ( HR=0.428, 95% CI 0.221-0.831, P=0.012). Incorporating the clinical measurement of phospholipase A2 receptor (PLA2R) antibodies, a predictive model was established. The performance of the model was evaluated using the training dataset, yielding an area under the ROC curve of 0.731 (95% CI 0.648-0.814), with a sensitivity of 88.7% and a specificity of 55.1%. The optimal cut-off value was a total nomogram score of 41.7 points. The Kaplan-Meier survival analysis showed that the remission rate was significantly higher in the low-risk group than that of the high-risk group (Log-rank test, χ2=33.525, P<0.001). Model validation was performed using the validation dataset, which showed an AUC of 0.715 (95% CI 0.591-0.839), sensitivity of 70.4%, and specificity of 63.6%. Similarly, the Kaplan-Meier survival analysis demonstrated a significantly higher remission rate in the low-risk group than in the high-risk group (Log-rank test, χ2=8.467, P=0.004). Conclusion:A nomogram predictive model for remission of MN patients with IgM deposition, based on serum PLA2R antibody levels, the use of immunosuppressive therapy, and renal arteriolar wall thickening is developed. The model demonstrates a moderate clinical applicability.

[Purpose]To analyze the results of cervical cancer screening among married women of 25～64 years old in Shihezi City from 2021 to 2023,and to explore the risk factors of cervical le-sions.[Methods]The results of cervical cancer screening among married women aged 25～64 years old in Shihezi City from 2021 to 2023 were retrospectively analyzed.The detection rates of common gynecological diseases,cervical cancer and precancerous lesions and human papillo-mavirus(HPV)infection by cervical cytology,colposcopy and cervical biopsy were analyzed.[Re-sults]The HPV infection(mainly single infection)rate was 10.74％.The common gynecological diseases were vaginitis,cervicitis and uterine leiomyoma.The detection rate of cervical cancer was 19.59/105,and the detection rate of cervical precancerous lesions was 308.52/105.Rural resi-dents,HPV 16/18 infection,genital warts were the risk factors for cervical lesions.[Conclusion]Female cervical lesions are significantly correlated with HPV 16/18 infection,genital condyloma acuminatum,particularly for rural residents,and preventive care,early screening and interven-tion should be strengthened for these populations.

As the location with special public health environments,funeral parlors are of paramount importance in the prevention and control of infectious diseases as well as disinfection practices.This paper analyzes the unique hy-gienic characteristics of funeral parlors,summarizes relevant laws,regulations,standards,and literatures in funeral parlors at home and abroad,and elaborates the problems relevant to infection prevention and control in funeral par-lors from perspectives of body disposal risks,microbial contamination characteristics in funeral parlors,and the current status of staff's knowledge on infectious diseases.It aims to enhance the professional prevention and control capabilities of funeral service personnel and management personnel,ensure the health and safety of service recipients and staff,optimize service quality,provide theoretical basis and practical guidance for forming a sound infectious disease prevention and control system for funeral service institutions,and clarify research directions for the preven-tion and control of infectious diseases in funeral parlors in the future.

Biometric recognition technology has developed rapidly and highly integrated with clinical diagnostics,phenotypic genomics,genomics,and big data analytics,facilitating not only precise personal identification but also demonstrating significant potential in health maintenance,particularly for military personnel.Global research has increasingly focused on uncovering the complex associations between biometric traits and key health determinants,such as disease susceptibility,psychological states,and physiological functions,to further harness biometrics in proactive health management.This paper provided a comprehensive overview of the latest progress and emerging applications of biometric technology in healthcare and military medicine,aiming to offer a scientific reference supporting the strategic development of biometrics research,its application promotion,and population-wide health management enhancement.

Local anesthetics (LAs), such as articaine (AT), exhibit limited efficacy in inflammatory environments, which constitutes a significant limitation in their clinical application within oral medicine. In our prior research, we developed AT-17, which demonstrated effective properties in chronic inflammatory conditions and appears to function as a novel oral LA that could address this challenge. In the present study, we further elucidated the beneficial effects of AT-17 in acute inflammation, particularly in oral acute inflammation, where mitochondrial-related apoptosis played a crucial role. Our findings indicated that AT-17 effectively inhibited lipopolysaccharide (LPS)-induced nerve cell apoptosis by ameliorating mitochondrial dysfunction in vitro. This process involved the inhibition of mitochondrial reactive oxygen species (mtROS) production and the subsequent activation of the NRF2 pathway. Most notably, improvements in mitochondria-related apoptosis were key contributors to AT-17's inhibition of voltage-gated sodium channels. Additionally, AT-17 was shown to reduce mtROS production in nerve cells through the Na⁺/NCLX/ETC signaling axis. In conclusion, we have developed a novel local anesthetic that exhibits pronounced anesthetic functionality under inflammatory conditions by enhancing mitochondria-related apoptosis. This advancement holds considerable promise for future drug development and deepening our understanding of the underlying mechanisms of action.

Objective To investigate the correlation between the levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and C-reactive protein(CRP)in the serum of full-term small-for-date infants and their growth restriction.Methods Pregnant women and their newborns who underwent routine check-ups at the Department of Obstetrics of Xingtai Central Hospital were enrolled.The mothers were admitted for delivery between January 2022 and December 2023.Newborns with a gestational age between 37 weeks and 41 weeks 6 days were included.A total of 83 newborns weighing<2 500 g at birth were included in the full-term small-for-date infant group,while 72 newborns weighing≥2 500 g at birth were included in the healthy control group.The maternal and neonatal serum levels of TNF-α,IL-6,and CPR were compared between the two groups.Logistic regression analysis was performed to screen for influencing factors.Receiver operating characteristic(ROC)curves were plotted to assess the predictive value of each influencing factor,and the optimal cutoff value,sensitivity,and specificity were derived subsequently.Results Compared with the healthy group,the full-term small-for-date infant group had elevated maternal and neonate serum levels of TNF-α,IL-6,and CPR(P<0.001).Maternal body mass index(BMI)(OR=0.428;95%CI,0.238-0.768;P=0.004),TNF-α levels(OR=2.133;95%CI,1.012-4.496;P=0.046),IL-6 levels(OR=1.218;95%CI,1.121-1.322;P<0.001),and CPR levels(OR=1.733;95%CI,1.312-2.288;P<0.001)were significantly associated with the incidence of full-term small-for-date infants(P<0.05).The area under the ROC curve(AUC)for maternal BMI and maternal serum TNF-α,IL-6,and CPR levels were 0.358(0.271-0.444),0.735(0.656-0.814),0.838(0.777-0.898),and 0.743(0.666-0.820),respectively.Among the 83 cases of full-term small-for-date infants,49 cases(59.04%)achieved satisfactory weight according to infant weight evaluation standards by the age of 6 months.Only birth weight(OR=1.004;95%CI,1.312-2.288;P<0.001)was identified as a significant influencing factor for satisfactory catch-up growth in full-term small-for-date infants.There was no significant association between the levels of inflammatory cytokines at birth and satisfactory catch-up growth at 6 months of age.Conclusion Maternal BMI and maternal and neonatal serum levels of TNF-α,IL-6,and CPR are all associated with the occurrence of growth restriction in full-term small-for-date infants.Measuring maternal serum levels of TNF-α,IL-6,and CPR may have value in predicting the occurrence of full-term small-for-date infants.However,no significant correlation is identified between the neonate serum levels of TNF-α,IL-6,and CRP and their growth catch-up at 6 months of age.

Lung transplantation is currently the only recognized effective treatment for end-stage lung disease and has improved the quality of life for patients. However, lung transplantation still faces many challenges, including rejection, infection, post-transplant acute kidney injury, post-transplant diabetes mellitus, ischemia-reperfusion injury and donor shortage, etc. Chinese lung transplantation scholars made a series of important progress in the field of clinical research in 2024, focusing on the study and solution of the above problems, and providing new ideas for lung transplantation surgery. This article systematically reviews the clinical research and technological innovation in the field of lung transplantation in 2024, summarizes the achievements of clinical research in the field of lung transplantation in China in 2024, and aims to providing new directions and strategies for future research.

Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

Objective To examine the association between lymphocyte subsets and renal clinicopathological characteristics as well as prognosis in patients with IgA nephropathy(IgAN).Methods The retrospective analysis included general clinical data and pathological examination results of IgAN patients diagnosed by renal biopsy at the Fourth Hospital of Hebei Medical University from January 2018 to January 2022.Correlation tests were conducted to examine the relationship between lymphocyte subsets and other significant clinicopathological parameters.The optimal cut-off value of CD4+T determined using the Youden index,and patients were grouped accordingly.Kaplan-Meier survival curves and Cox regression analyses were employed to compare the low and high CD4+T lymphocyte groups among IgAN patients,identifying factors influencing renal function progression.The endpoint event was defined as a decrease in estimated glomerular filtration rate(eGFR)of≥30%from baseline,progression to end-stage renal disease(ESRD)[eGFR<15 mL/(min·1.73 m2)or initiation of renal replacement therapy],or all-cause mortality.Results Low CD4+T lymphocytes were significantly positively correlated with blood IgA levels and the proportion of glomerular crescents in IgAN patients(all P<0.05).This study included a total of 53 IgAN patients,divided into two groups based on CD4+T lymphocyte counts:20 patients in the low CD4+T lymphocyte group and 33 patients in the high CD4+T lymphocyte group.In the low CD4+T lymphocyte group,there was a higher proportion of males and a lower proportion of glomerular crescents(P<0.05).Kaplan-Meier survival analysis revealed that patients with low CD4+lymphocytes had a significantly lower cumulative renal survival rate(Log-Rank test χ2=4.188,P=0.041).Cox regression analysis indicated that low CD4+lymphocytes were an independent risk factor for the progression of renal function decline in IgAN patients(HR=2.614,95%CI:1.006～6.788,P=0.048).Conclusions Patients with higher levels of CD4+T lymphocytes exhibit a lower risk of adverse renal outcomes.In contrast,patients with IgA nephropathy and low CD4+T lymphocyte counts tend to have poorer renal survival rates.

Objective:To investigate the relationship between triglyceride glucose (TyG) index and major adverse cardiovascular events (maces) within 30 days after discharge in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI) and its predictive value.Methods:A single center retrospective study was conducted to select AMI patients with PCI in the chest pain center of the Fourth Hospital of Changsha from January 2023 to January 2024 by a convenience sampling method. The clinical data and follow-up information of the patients were collected. The relationship between TyG index and Maces and its predictive value were tested by correlation analysis and logistic regression model.Results:A total of 110 patients met the inclusion and exclusion criteria, including 88 males and 22 females, aged (61.46 ± 12.42) years old. Spearman correlation analysis showed that TyG index was positively correlated with maces 30 days after discharge ( r = 0.421, P<0.001). Logistic regression analysis showed that TyG index was a risk factor for maces in AMI patients 30 days after discharge ( OR = 9.033, 95% CI 2.835-8.788, P<0.001). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) was 0.854 (95% CI 0.765-0.943, P<0.001). Conclusions:TyG index has a significant positive correlation with maces within 30 days after discharge, which is an independent risk factor for maces within 30 days after discharge. Risk stratification by TyG index is more conducive to the management of clinical postoperative nursing and nursing education after discharge.