Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss remained significantly associated with the occurrence of esophageal cancer (OR=3.038, 95%CI: 1.035-8.914). A nonlinear dose-response relationship was observed between the number of teeth lost and the incidence of esophageal cancer. When the number of teeth lost was less than 12, the risk of esophageal cancer increased with the number of teeth lost. When more than 12 teeth were lost, the risk of esophageal cancer decreased as the number of teeth lost increased. Conclusion Tooth loss is a risk factor for the occurrence of esophageal cancer in this natural village. When the number of teeth lost is less than 12, the risk of esophageal cancer increases with the number of teeth lost.

Although stage Ⅰ non-small cell lung cancer(NSCLC)is a type of malignant tumor that can be cured through surgical treatment,its 5-year recurrence rate is still as high as 10%-29%,with a 5-year survival rate of 77%-93.7%.Therefore,better treat-ment strategies are urgently needed to further improve the long-term survival rate of patients with stage I NSCLC.In recent years,ma-jor breakthroughs have been made in targeted therapy and immunotherapy for locally advanced NSCLC in the perioperative period.It was believed in the past that patients with stage I NSCLC had limited benefits from adjuvant chemotherapy,but there are still controver-sies over whether stage I patients can benefit from perioperative targeted therapy and immunotherapy.Therefore,Chongqing Precision Lung Oncology Group discusses the main issues in the treatment of stage I NSCLC in the perioperative period and provides related rec-ommendations,including the selection and optimization of indications for perioperative targeting therapy or immunotherapy,the formu-lation and optimization of regimens and strategies for single therapy or combined therapy,and the optimal time of perioperative target-ing therapy or immunotherapy,so as to provide guidance for clinical practice.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Objective To investigate the predictive value of the preoperative fasting Triglyceride-Glucose index(TyG)for contralateral new silence ischemic brain lesions(CNSIBL)following carotid artery stenting(CAS).Methods A retrospective study was conducted to analyze the clinical data of 183 patients who underwent carotid CAS.The patients were divided into a CNSIBL group(50 cases)and a non-CNSIBL group(133 cases)based on the occurrence of CNSIBL.Baseline data,laboratory tests,and imaging indicators were collected,and TyG was calculated.Using the occurrence of CNSIBL as the dependent variable,multivariate logistic regression analysis was performed with TyG as the independent variable after controlling for confounding factors,and the predictive value of TyG for CNSIBL post-CAS was evaluated using receiver operating characteristic(ROC)curves.Results(1)The number of patients with a history of diabetes mellitus,as well as systolic and diastolic blood pressure on admission in CNSIBL group were statistically significantly higher than that in non-CNSIBL group(P<0.05).(2)Triglyceride(TC)levels were higher in the CNSIBL group compared to the non-CNSIBL group(P<0.05);TyG was also higher in the CNSIBL group than in the non-CNSIBL group(P<0.05);(3)Multivariate Logistic regression analysis results showed that TyG[a OR=1.125,95%CI(1.042-1.214),P<0.001]was an independent risk factor for contralateral new silent ischemic brain lesions after carotid artery stenting;(4)The ROC curve suggested that the AUC for TyG predicting contralateral new silent ischemic brain lesions post-CAS was 0.77[95%CI(0.71-0.84),P<0.001],with a cut-off value of 1.93,sensitivity of 86.0%,and specificity of 63.9%.Conclusion TyG is an independent influencing factor for contralateral new silent ischemic brain lesions following carotid artery stenting.

Objective:To explore the health behavior of middle-aged and young stroke patients and analyze its influencing factors.Methods:From April to July 2023, convenience sampling was used to select 172 middle-aged and young stroke patients admitted to the First Affiliated Hospital of Naval Medical University as the research subject. A survey was conducted using the General Information Questionnaire, Health Behavior Scale for Stroke Patients, Health Belief Scale, and Multidimensional Scale of Perceived Social Support. Spearman correlation was used to analyze the correlation between health behavior, social support, and health beliefs among middle-aged and young stroke patients. Multiple linear regression was used to analysis the influencing factors of health behavior among middle-aged and young stroke patients. A total of 172 questionnaires were distributed, and 8 questionnaires with missing items and short response times were excluded, and 164 valid questionnaires were collected, with a valid response rate of 95.34%.Results:Among 164 middle-aged and young stroke patients, the total score of the Health Behavior Scale for Stroke Patients was 64.50 (57.00, 80.75), and the average score of the items was 2.58 (2.28, 3.23). Multiple linear regression analysis showed that factors affecting the health behavior of middle-aged and young stroke patients were whether it was the first onset, the time required to reach nearby medical institution, health belief, and social support ( P<0.05) . Conclusions:The health behavior of middle-aged and young stroke patients is above the medium level. In the process of intervening in the health behavior of middle-aged and young stroke patients, medical and nursing staff should pay attention to patients with recurrent stroke and poor access to medical services, while also improving patients' health belief and social support to promote patients' health behavior and reduce stroke recurrence.

Objective:To explore the status quo and influencing factors of self-management behavior in high-risk stroke patients, so as to provide a basis for improving their self-management behavior.Methods:From March to June 2023, convenience sampling was used to select 395 high-risk stroke patients admitted to the First Affiliated Hospital of Naval Medical University as the study subject. A survey was conducted on patients using the General Information Questionnaire, Self-management Behavior Scale for High-risk Stroke Patients, and Cerebral Apoplexy Knowledge Questionnaire. Pearson correlation was used to analyze the correlation between self-management behavior and stroke knowledge. A total of 395 questionnaires were distributed, and unqualified questionnaires (such as regular or repetitive responses, conflicting options before and after) were excluded. Finally, 387 valid questionnaires were collected, with an effective response rate of 97.97%.Results:The score of the Self-management Behavior Scale for High-risk Stroke Patients for 387 high-risk stroke patients was (137.60±25.47), with a score indicator of 62.53%, which was at a moderate level. The score of the Cerebral Apoplexy Knowledge Questionnaire was (19.26±10.19), which was at a low level. The random forest algorithm showed that the importance order of influencing factors was stroke knowledge, number of ways to obtain health information, educational level, number of risk factors, frequency of physical examinations, medical insurance, age, work situation, and gender. The Lasso regression indicated that there were four influencing factors corresponding to the minimum error. The top four factors in importance were included in multiple linear regression, and the results showed that educational level, number of risk factors, number of ways to obtain health information, and stroke knowledge were the influencing factors of self-management behavior in high-risk stroke patients ( P<0.05) . Conclusions:The self-management behavior of high-risk stroke patients was at a moderate level. Medical and nursing staff should strengthen stroke knowledge education, provide personalized education for different risk factors, and improve the self-management of the target population to reduce the incidence of stroke.

Objective:To explore the mediating effect of coping style on disease perception and pre-hospital delayed behavioral intention in patients with acute ischemic stroke.Methods:This study was a cross-sectional study. From February to July 2023, convenience sampling was used to select 205 patients with acute ischemic stroke admitted to the First Affiliated Hospital of Naval Medical University as the study subject. The survey was conducted using the General Information Questionnaire, Stroke Pre-Hospital Delay Behavior Intention, Brief Illness Perception Questionnaire, and Simplified Coping Style Questionnaire.Results:205 questionnaires were filled out, 195 valid questionnaires, and the validity rate of the questionnaire was 95.1%. The Stroke Pre-Hospital Delay Behavior Intention score of patients with acute ischemic stroke was (63.61±16.12). Pre-hospital delayed behavioral intention in patients with acute ischemic stroke was positively correlated with disease perception and negative coping ( r=0.360, 0.266; P<0.01), and negatively correlated with positive coping ( r=-0.279, P<0.01). The mediating effects of positive and negative coping on disease perception and pre-hospital delayed behavioral intention in ischemic stroke patients were 0.111 and 0.097, respectively, accounting for 26.89% and 23.49% of the total effect. Conclusions:There is a partial mediating effect of coping strategies between disease perception and pre-hospital delayed behavioral intention in ischemic stroke patients. In the process of stroke management, medical and nursing staff can reduce pre-hospital delayed behavioral intentions by improving disease cognition and coping style.

By referring to the relevant literature on the application of positive psychology in patients with cognitive impairment at home and abroad, this paper reviews the measurement tools, interrelationships and intervention status of positive psychology in patients with cognitive impairment, and explores the prospects of its application in this population. The aim is to provide a basis for nursing decision-making in patients with cognitive impairments.

The unicellular green alga Chlamydomonas reinhardtii (hereafter Chlamydomonas) possesses both plant and animal attributes, and it is an ideal model organism for studying fundamental processes such as photosynthesis, sexual reproduction, and life cycle. N⁶-methyladenosine (m⁶A) is the most prevalent mRNA modification, and it plays important roles during sexual reproduction in animals and plants. However, the pattern and function of m⁶A modification during the sexual reproduction of Chlamydomonas remain unknown. Here, we performed transcriptome and methylated RNA immunoprecipitation sequencing (MeRIP-seq) analyses on six samples from different stages during sexual reproduction of the Chlamydomonas life cycle. The results show that m⁶A modification frequently occurs at the main motif of DRAC (D = G/A/U, R = A/G) in Chlamydomonas mRNAs. Moreover, m⁶A peaks in Chlamydomonas mRNAs are mainly enriched in the 3' untranslated regions (3'UTRs) and negatively correlated with the abundance of transcripts at each stage. In particular, there is a significant negative correlation between the expression levels and the m⁶A levels of genes involved in the microtubule-associated pathway, indicating that m⁶A modification influences the sexual reproduction and the life cycle of Chlamydomonas by regulating microtubule-based movement. In summary, our findings are the first to demonstrate the distribution and the functions of m⁶A modification in Chlamydomonas mRNAs and provide new evolutionary insights into m⁶A modification in the process of sexual reproduction in other plant organisms.
Animals ; Chlamydomonas reinhardtii/metabolism* ; Reproduction/genetics* ; Life Cycle Stages/genetics* ; Transcriptome ; Plants/genetics*

Through systematic review of literature, Delphi expert consultation and expert discussion meeting, the Nursing expert consensus on application of cardiopulmonary resuscitation machine in treating patients with in- hospital cardiac arrest was formulated. Finally, 8 parts of the application specifications including evaluation before boarding, cooperation during boarding, detection and management after boarding, cooperation during weaning, quality control and training, and fault handling were formed, in order to provide guidance and reference for the application of cardiopulmonary resuscitation machine in treating patients with in-hospital cardiac arrest.