Objective To develop a risk assessment scale for immune checkpoint inhibitor (ICI)-associated myocarditis based on multidisciplinary collaboration, and to evaluate its diagnostic performance. Methods Based on multidisciplinary cooperation, integrating clinical experience from oncology and cardiology, literature data, and patient conditions, a risk assessment scale for ICI-associated myocarditis was developed. A total of 101 patients with malignancies who received immunotherapy at Zhongshan Hospital, Fudan University, from October 2020 to October 2024 were included as the validation cohort. Patients were stratified into low-risk (0-1 point), medium-risk (2-4 points), and high-risk (≥5 points) groups based on their scale scores. The association between pretictive risk stratifications and actual assessment results was assessed using the Cox proportional hazards regression model. The predictive value of the scale for ICI-associated myocarditis was evaluated using receiver operating characteristic (ROC) curve. Agreement between the scale scores and actual assessment results was assessed using Cohen’s Kappa coefficient. Results Based on the scale pretictive results, 28(27.7%), 8(7.9%), 65(64.4%) patients were at low risk, medium risk, and high risk for ICI-related myocarditis, respectively; however, 46(45.5%), 8(7.9%), 47(46.5%) were at low risk, medium risk, and high risk actually. Kaplan-Meier survival analysis showed that the cumulative incidence of ICI-related myocarditis in the high-risk group was significantly higher than that in the medium- and low-risk groups (P＜0.05). In the multivariable-adjusted Cox proportional hazards model, the ICI-related myocarditis risk in high-risk group was about 4 times that in the low-risk group. ROC curve analysis demonstrated that the average area under the curve (AUC) for predicting ICI-related myocarditis was 0.81, with an accuracy of 0.74. The Cohen’s Kappa coefficient was 0.55, indicating moderate agreement. In the actual high-risk group, no patient was predicted to be at low risk; in the actual low-risk group, 16 patients were predicted to be at high risk. Conclusions This risk assessment scale for ICI-associated myocarditis shows high predictive performance. It provides oncologists with a simple yet effective multidisciplinary diagnostic reference tool, potentially enhancing early identification of ICI-associated myocarditis.

Mechanical ventilation is commonly employed for respiratory support in patients with respiratory failure. Despite the optimization of ventilator parameters and treatment methods, mechanical ventilation can still lead to both acute and chronic lung injury in patients with acute respiratory distress syndrome (ARDS) as well as in those without ARDS, a phenomenon referred to as ventilator-induced lung injury (VILI). VILI can be categorized into four types: barotrauma, volumetric injury, atelectasis injury, and biotic injury. Among these, biotic injury, characterized by inflammation, plays a significant role in the pathogenesis of VILI. Numerous studies have investigated the inflammatory mechanisms underlying VILI; however, these mechanisms remain complex and not entirely understood. At present, clinical practice lacks specific prevention and treatment strategies for VILI, aside from the implementation of protective ventilation strategies. Long non-coding RNAs (lncRNA) are a category of non-coding RNA longer than 200 nucleotides. LncRNAs regulate physiological and pathological processes such as cell proliferation, apoptosis, inflammatory response, and immune regulation, this regulation occurs through mechanisms such as modulating gene activity, inhibiting specific states, assisting in transcription initiation, affecting pre-mRNA splicing modifications, influencing translation processes, and expressing biofunctional peptides. They play an important role in the course of multiple diseases. Studies have shown that compared with control animals and cell models, lncRNAs are differentially expressed in VILI animal models and cell stretch models. Experiments have verified that certain lncRNAs play a crucial role in the pathogenesis of VILI by regulating the expression of inflammatory factors, the transformation of macrophage types, neutrophil activation, and cell apoptosis. Given the adverse effects of VILI on mechanical ventilation in critically ill patients, the important role of lncRNAs in biological regulation, and the urgent need to explore more effective strategies for the prevention and treatment of VILI, this paper summarizes the mechanisms through which lncRNA contributes to the VILI process, and discusses its possibility as a diagnostic and therapeutic target of VILI, in order to provide a reference for the clinical treatment of VILI.
RNA, Long Noncoding ; Ventilator-Induced Lung Injury ; Humans ; Respiration, Artificial/adverse effects* ; Animals ; Respiratory Distress Syndrome ; Apoptosis

Objective : To explore the mechanism of proliferation of gastric cancer cells induced byHelicobacter pylori(Hp) from the perspective of the mitochondrial unfolded protein response(UPRMT). Methods : C57BL6/J mice, human gastric cancer cells AGS and SGC-7901 cells were infected with Hp, mitochondrial proteins were extracted, and the expressions of UPRMT, including activation of transcription factor 5(ATF5), heat shock protein 60(mtHSP60), heat shock protein 70(mtHSP70) and mitochondrial protease(ClpP), were detected by Western blot. Immunohistochemistry was used to locate the expression sites of 4 proteins in mouse gastric tissue. AGS and SGC-7901 cells were infected with Hp, and cell proliferation was detected by RTCA and CCK-8. Finally, the expression of four indexes in gastric cancer tissues was analyzed by TCGA samples in the UALCAN database. Results : Hp infection could significantly promote the expression of ATF5, mtHSP60, mtHSP70 and ClpP in the mitochondria of gastric epithelial cells of C57BL6/J mice, AGS and SGC-7901 cells, and promote the proliferation of gastric cancer cells. When compared to normal gastric tissues in TCGA samples, ATF5, mtHSP60, mtHSP70, and ClpP were highly expressed in gastric cancer tissues, with statistically significant difference(allP<0.01). Conclusion Hp infection can induce UPRMTin gastric epithelial cells and gastric cancer cells, which in turn promotes cell proliferation.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

BACKGROUND:The impact of the endometrium's structure and spiral artery blood flow parameters on the pregnancy rate of artificial insemination by husband remains unclear.This study identified the independent factors and constructed a prediction model with good clinical application efficacy after calibration of other confounding factors. OBJECTIVE:To construct and validate a clinical pregnancy prediction model for artificial insemination by husband based on endometrial structure and uterine spiral artery blood flow parameters. METHODS:A retrospective analysis was conducted on 1 299 patients who underwent artificial insemination by husband treatment at Changzhou Maternal and Child Health Hospital from January 2017 to January 2021.The non-pregnancy group consisted of 1 182 patients,while the pregnancy group included 117 patients.Out of these patients,93 cases were successfully matched between the pregnancy and non-pregnancy groups using a 1∶1 propensity score matching method.Single-factor and multi-factor analyses were used to screen the endometrial structure and uterine spiral artery blood flow parameters to determine their influence on artificial insemination by husband outcomes.The optimal cutoff value was established for each independent influencing factor through receiver operating curve analysis and their risk trend affecting artificial insemination by husband pregnancy outcomes was analyzed using a restricted cubic spline.The clinical efficacy of this combined forecast model was tested by using clinical decision curve and clinical influence curve methods. RESULTS AND CONCLUSION:(1)There was no statistical significance in non-endometrial factors between the pregnancy group and the non-pregnancy group,and the data had a good balance by propensity score matching(P>0.05).(2)Single-factor analysis identified several subendometrial parameters as significant influencing factors of artificial insemination by husband pregnancy outcomes,including vascularization index,flow index,vascular flow index,resistance index,pulsatility index,maximum systolic velocity/end-diastolic velocity,thickness of average junction zone and maximum junction zone from the basal endometrium to the outer myometrium inner layer(P<0.05).(3)Multivariate logistic regression analysis revealed that thickness of average junction zone,pulsatility index,and vascular flow index were independent influencing factors of pregnancy outcomes of artificial insemination by husband,vascular flow index>thickness of average junction zone>pulsatility index.(4)Receiver operating characteristic curve analysis indicated that the area under receiver operating characteristic curve of vascular flow index was 0.704(0.629,0.779),and the optimal cutoff value was 6.26;the area under receiver operating characteristic curve of thickness of average junction zone was 0.660(0.582,0.739),and the optimal cutoff value was 6.38;the area under receiver operating characteristic curve of pulsatility index was 0.642(0.563,0.721),and the optimal cutoff value was 1.18.(5)The restricted cubic spline analysis revealed that artificial insemination by husband pregnancy outcomes were significantly positively affected when the vascular flow index was>6.24 or the thickness of average junction zone was≤6.55 mm,while a negative risk was associated with pulsatility index>1.27.(6)The clinical decision curve and clinical influence curve analyses exhibited that the combined prediction model had the maximum clinical net benefit at the threshold probability value of 0.17-0.93,and the ratio of loss to benefit was consistently less than 1 in the threshold probability range,indicating that the model had good clinical efficacy.(7)It is concluded that after adjusting for other confounding factors outside of the endometrium using propensity score matching and multifactorial logistic regression,the thickness of average junction zone,pulsatility index and vascular flow index were independent factors that influenced pregnancy outcomes of artificial insemination by husband.Through determining their optimal cutoff values and assessing their risk trends,it was confirmed that the combined prediction model had good predictive value and clinical efficacy.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.

Objective:To explore the risk factors and their interation in the incidence of monozygotic twins dur-ing in vitro fertilization-embryo transfer(IVF-ET).Methods:The cohort for this investigation comprised 4537 pa-tients who underwent IVF-ET with single embryo transfer,resulting in live births at Changzhou Maternal and Child Health Care Hospital spanning from January 2011 to December 2021.Among this cohort,76 paitients with monozygotic twins were enrolled in the monozygotic twin group.Employing a 5∶1 propensity score matching strategy,380 patients with monozygotic singletons were enrolled in monozygotic singleton group.Using single fac-tor and Lasso regression analysis to correct for the influencing factors of monozygotic twins,using multiple factor Logistic regression to screen for independent risk factors of monozygotic twins and analyze their impact weights,and then performing multiplication and addition interaction analysis on them.Results:The results of univariate analysis showed that there were statistically significant differences(P＜0.05)between the two groups of patients in terms of age,fertilization method,assisted hatching,embryo type for transfer,embryo transfer method,embryo culture duration,and HCG day estradiol(E2)level.The results of multivariate Logistic regression showed that blas-tocyst transfer(OR 2.847,95％CI 1.559-5.199),frozen-thawed embryo transfer(OR 2.640,95％CI 1.354-5.145),and HCG day E2 level(OR 1.783,95％CI 1.033-3.077)were independent risk factors for monozygotic twins(P＜0.05),demonstrating a hierarchical impact sequence of blastocyst transfer(11.60)＞frozen-thawed embryo transfer(6.54)＞HCG day E2(4.32)level.Notably,there was a significant positive additive interaction between embryo transfer type and HCG day E2 level,with an interaction index(S)of 4.690(95％CI 1.896-11.598),relative excess risk due to interaction(RERI)of 4.128(95％CI 2.236-6.019),and attributable propor-tion due to interaction(AP)of 0.661(95％CI 0.536-0.786).Conclusions:Blastocyst transfer,frozen-thawed embryo transfer,and HCG day E2 level are risk factors for monozygotic twins,and there is a significant positive additive interaction between embryo transfer type and HCG day E2 level.