Objective:To explore the diagnostic value of preoperative diffusion weighted imaging (DWI) histogram parameters in the depth of invasion of early rectal cancer.Methods:A total of 180 patients with early rectal cancer admitted to 904th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army from August 2020 to August 2024 were selected as the study objects. Patients were divided into intramucosal cancer group ( n=102) and submucosal cancer group ( n=78) according to the depth of tumor invasion. The general data of the two groups were compared. The intraclass correlation coefficient (ICC) was used to analyze the consistency of DWI histogram parameters extracted by the two radiologists, and the differences between the two groups were compared. Receiver operator characteristic (ROC) curve was used to analyze the predictive value of each parameter to the depth of tumor invasion. Multivariate logistic regression was used to analyze the independent influencing factors of invasion depth, and a predictive model was constructed. The ROC curve was drawn to analyze the predictive value of the model for tumor invasion depth, and the Hosmer-Lemeshow test was used to analyze the goodness of fit of the model. Results:There were statistically significant differences in age ( t=8.15, P<0.001), maximum tumor diameter ( χ2=29.29, P<0.001), endoscopic type ( χ2=20.96, P<0.001), histological type ( χ2=24.93, P<0.001) and differentiation degree ( χ2=73.35, P<0.001) between intramucosal cancer group and submucosal cancer group. The mean, variance, skewness, kurtosis, the 1 st, 10 th, 50 th, 90 th, and 99 th percentiles of the histogram parameters of DWI had good consistency (all ICC>0.75). There were statistically significant differences in the mean ( t=5.69, P<0.001), variance ( t=9.75, P<0.001), skewness ( t=10.88, P<0.001), kurtosis ( t=10.06, P<0.001), the 1 st percentile ( t=3.43, P<0.001), 10 th percentile ( t=3.59, P<0.001), 50 th percentile ( t=9.97, P<0.001), 90 th percentile ( t=4.63, P<0.001), and 99 th percentile ( t=2.44, P=0.016) of the DWI histogram parameters between the intramucosal cancer group and the submucosal cancer group. ROC curve analysis results showed that mean [area under the curve (AUC) =0.77], variance (AUC=0.88), skewness (AUC=0.88), kurtosis (AUC=0.78), 50 th percentile (AUC=0.86) and 90 th percentile (AUC=0.82) had certain diagnostic value for submucous cancer. Multivariate analysis showed that age ( OR=9.98, 95% CI: 1.10-90.70, P=0.041), maximum tumor diameter ( OR=7.36, 95% CI: 1.08-50.23, P=0.042), and differentiation degree ( OR=19.88, 95% CI: 1.21-327.92, P=0.037), variance ( OR=16.24, 95% CI: 2.26-116.68, P=0.006), skewness ( OR=21.13, 95% CI: 2.80-59.61, P=0.003), 1 st percentile ( OR=9.78, 95% CI: 1.17-81.76, P=0.035) were independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model based on the above indicators was logit ( P) =1.51+2.30×age+2.00×maximum tumor diameter+2.99×differentiation degree+2.79×variance+3.05×skewness+ 2.28×the 1 st percentile. ROC curve analysis showed that the predictive model had an AUC of 0.97 (95% CI: 0.95-0.99) for judging the occurrence of submucosal cancer in patients with early rectal cancer, the sensitivity was 0.95, and the specificity was 0.88. The Hosmer-Lemeshow test results showed that the goodness of fit of the model was ideal ( P=0.823) . Conclusions:Age, maximum tumor diameter, differentiation degree, variance, skewness, and the 1 st percentile are independent factors in predicting tumor invasion depth in patients with early rectal cancer. The predictive model constructed based on these factors can effectively predict the risk of submucosal cancer in patients with early rectal cancer.

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Objective:To understand the feelings and experiences of patients with dizziness caused by cerebrovascular diseases, and to provide a reference basis for the development of nursing intervention measures.Methods:Semi-structured interviews were carried out from November 2024 to February 2025 by phenomenology method. The patients with dizziness caused by cerebrovascular diseases who were hospitalized in the First Affiliated Hospital of Zhengzhou University were selected by purposive sampling method. The interview data were analyzed by the Colaizzi 7-step analysis method to summarize and extract the themes.Results:Finally, 16 patients with dizziness caused by cerebrovascular diseases were interviewed, including 6 males and 10 females, aged 43 to 73 years. The feeling and experience of patients with dizziness caused by cerebrovascular diseases could be summarized into three themes: persistent physical symptoms (physiological function imbalance, the superposition of multiple symptoms); patients had cognitive biases (symptom risk cognitive bias, symptom knowledge cognitive bias, drug effect cognitive bias); patients' self-perceived burden was obvious(physical burden, emotional burden, and economic burden).Conclusions:The patients with dizziness caused by cerebrovascular diseases show multi-dimensional characteristics, and there are many burdens and needs in physiological, psychological and social aspects. We should pay attention to the symptom experience and psychological feelings of such patients, and give targeted health education and multi-dimensional social support.

Objective    To compare the in-hospital outcomes of transapical transcatheter aortic valve replacement (TA-TAVR) for bicuspid aortic valve (BAV) patients and tricuspid aortic valve (TAV) patients. Methods    Patients (including BAV and TAV patients) who underwent TA-TAVR with the J-ValveTM in West China Hospital from July 2014 to July 2020 were included consecutively. The clinical outcomes of the patients were analyzed. Results    A total of 354 patients were included in the study, 75 in the BAV group and 279 in the TAV group. There were 229 males and 125 females with a mean age of 72.2±6.0 years. No death occurred during the procedure, and the overall technical success rate was 97.7%. The all-cause in-hospital mortality rate was 1.4%. Twenty (26.7%) patients with BAV and 46 (16.5%) patients with TAV had mild or higher perivalvular leaks immediately after the procedure. No patients with BAV required permanent pacemaker implantation postoperatively, while 13 (4.7%) TAV patients required permanent pacemaker implantation, with an overall pacemaker implantation rate of 3.7%. One (1.3%) BAV patient and 7 (2.5%) TAV patients developed acute kidney injury postoperatively. One (1.3%) BAV patient and 1 (0.4%) TAV patient developed peri-operative myocardial infarction. The average postoperative hospital stay was 7.6±3.6 d for BAV patients and 8.6±6.1 d for TAV patients. There was no statistical difference in primary or secondary in-hospital outcomes between BAV and TAV patients (P>0.05). Conclusion    Compared to TAV patients, BAV patients have similar in-hospital outcomes, with a low incidence of adverse clinical outcomes, which provides preliminary evidence for its implementation in Chinese patients with a high proportion of BAV.

Objective: To explore the status of depressive symptoms among adolescents in different pubertal stages in a district of Chongqing. Methods: A self designed questionnaire and Children s Depression Inventory were administered among 1 001 students in a district of Chongqing. Score and associated factors of depressive symptoms of adolescents through descriptive statistical analysis, Chi square test, analysis of variance and Logistic regression analysis. Results: The detection rate of depressive symptoms among adolescents in a district of Chongqing was 17.3%, and the total score of depression scale was (12.02±6.72). There were statistically significant differences in the inefficiency subscale score of boys across stages of genital, pubic hair, armpit hair and beard, and whether the first spermatorrhea has occurred( t/F =7.08，5.46，5.18，4.21，5.84， P <0.05), while significant differences were found in the anhedonia and inefficiency subscales scores among girls across different stages of breast, pubic hair and armpit hair, and whether menarche has occurred( t/F =19.43，4.92，3.98，7.35， P <0.05). Multivariate Logistic regression analysis showed that the absence of first spermatorrhea and menarche were associated with lower prevalence of depressive symptoms in boys and girls ( OR=0.60, 95%CI=0.36-0.98; OR=0.46, 95%CI =0.22-1.00), while pubic hair development was associated with higher prevalence of depressive symptoms in girls ( OR=9.58, 95%CI =1.28- 71.71 ). Conclusion The detection rate of depressive symptoms among adolescents is relatively low. Boys who have had the first spermatorrhea, and girls with advanced pubic hair development or have had menarche are more likely to suffer from depressive symptoms.

Essential fatty acids are those that could not be synthesized by the body itself but crucial for health and life. Studies have shown that ω-3 fatty acids may facilitate human physiological functions. Mammals lack ω-3 desaturase gene, and the Δ15 fatty acid desaturase (Δ15 Des) from Caenorhabditis elegans can transform the ω-6 polyunsaturated fatty acids (PUFAs) into ω-3 PUFAs. Transgenic mice expressing Δ15 Des enzyme activity was constructed by using a PiggyBac transposon (PB). Homozygous transgenic mice with stable inheritance was bred in a short time, with a positive rate of 35.1% achieved. The mice were fed with 6% ω-6 PUFAs and the changes of fatty acids in mice were detected by gas chromatography (GC). The expression level of Δ15 Des in mice was detected by quantitative PCR (qPCR) and Western blotting (WB). qPCR and GC analysis revealed that the percentage of positive mice harboring the active gene was 61.53%. Compared with traditional methods, the transformation efficiency and activity of Δ15 Des were significantly improved, and homozygotes showed higher activity than that of heterozygotes. This further verified the efficient transduction efficiency of the PiggyBac transposon system.
Animals ; Caenorhabditis elegans/genetics* ; Fatty Acid Desaturases/genetics* ; Fatty Acids ; Fatty Acids, Omega-3 ; Mice ; Mice, Transgenic

Objective: This study explored the predictive effects of psychological stress in early and middle puberty on subsequent emotional and behavioral problems. Methods: A cohort of 911 boys and girls from primary and secondary schools in Chongqing was studied. Psychological stress was measured in early and middle adolescence, and the levels of emotional and behavioral problems were determined in one year follow up. Logistic regression analysis was used to analyze the effects of psychological stress in early and middle adolescence on subsequent emotional and behavioral problems. Results: The average psychological stress score in early and middle adolescence was (27.96±24.95), and the average scores of internalized and externalized behavioral problems and overall problems one year later were (8.21±8.46)(6.21±5.87) and (37.90±24.68) respectively. When grouped by gender, these scores, as well as the detection rate of anxiety and depression, withdrawal, physical discomfort, thinking problems, internalization problems and overall problems, were higher in girls than boys (t/Z=-6.38，-5.63，-6.06，-3.74，-6.80，-5.47， χ 2=15.88，12.01，3.92，6.64，24.67，15.88， P <0.05). Logistic regression showed that the psychological stress scale score was a risk factor for internalized and externalized behavioral problems and overall problems( P <0.05). Conclusion Psychological stress levels in early and middle puberty have a positive predictive effect on emotional and behavioral problems in the following year.

Objective: To explore whether psychological stress in early and mid puberty is predictive of adolescent healthrisk behaviors. Methods: In April 2018, a total of 1 046 primary and secondary school students from grade 5 to 8 were recruited through purposive sampling. The basic information and psychological stress of the respondents were collected by questionnaire and physical examination. In addition, self reports of health risk behaviors were collected in October 2018. Logistic multiple regression analysis was used to analyze the relationship between psychological stress and health risk behaviors of adolescents. Results: The reported health risk behaviors of the surveyed adolescents ranking from high to low were unreasonable physical activity (62.05%), food preferences (24.76%), fighting (21.03%), suicidal ideation (17.02%), ideation of running away from home (9.85%), low mood (8.80%), smoking (4.21%), drinking (3.73%), gambling (3.63%) and internet addiction (3.06%). Logistic multiple regression analysis showed that the high level of psychological stress was a risk factor for fighting ( OR =1.02, 95% CI =1.01-1.03), suicidal ideation ( OR =1.02, 95% CI =1.01-1.03), low mood ( OR =1.02, 95% CI =1.01-1.03), ideation of running away from home ( OR =1.02, 95% CI =1.01-1.03), unreasonable physical activity ( OR =1.01, 95% CI =1.00-1.02), smoking ( OR =1.02, 95% CI = 1.00-1.03), internet addiction ( OR =1.02, 95% CI =1.00-1.03), food preferences ( OR =1.01, 95% CI = 1.00-1.02) and gambling ( OR =1.02, 95% CI =1.01-1.04)( P <0.05). Conclusion Unreasonable physical activity and food preferences are most common health risk behaviors among adolescents. Psychological stress during early to middle puberty is predictive of adolescent health risk behaviors.