1.Clinicopathological characteristics and prognostic factors analysis of biliary neuroendocrine neoplasms
Meng WANG ; Zhihao ZHAO ; Jiuxing WEI ; Xiaodong XIN ; Ruoyan ZHANG ; Guoyue LYU
Chinese Journal of Digestive Surgery 2025;24(7):890-897
Objective:To investigate the clinicopathological characteristics and prognostic factors of biliary neuroendocrine neoplasms (NENs).Methods:The retrospective cohort study was conducted. The clinicopathological data of 36 patients who underwent surgical treatment for biliary NENs at The First Hospital of Jilin University from January 2013 to December 2023 were collected. There were 22 males and 14 females, aged (59±9)years. Observation indicators: (1) clinicopatholo-gical characteristics of patients; (2) follow-up; (3) prognostic factors analysis of patients. Compari-son of measurement data with normal distribution among multiple groups was conducted using the ANOVA. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. The Cox risk regression model was used for univariate and multivariate analyses. Results:(1) Clinicopatholo-gical characteristics of patients. None of the 36 patients with biliary NENs had carcinoid syndrome. There were 11 cases with tumor located at gallbladder, 14 cases with tumor located at bile duct, and 11 cases with tumor located at ampulla of Vater. There were significant differences in weight loss and TNM stage among biliary NENs patients with different tumor location ( χ2=9.14, 6.54, P<0.05). Of the 36 patients, there were 12 cases with neuroendocrine tumors, 16 cases with neuroendocrine carcinomas, and 8 cases with mixed neuroendocrine-non-neuroendocrine neoplasms. (2) Follow-up. All 36 patients were followed up for 39(range, 10-93)months. Of the 36 patients, 19 patients experienced tumor recurrence and 16 patients experienced tumor metastasis. There were 18 patients died. The median overall survival time of 36 patients was 30 months, with the 1-, 2-, 3-year overall survival rates of 63.9%, 51.0%, and 35.7%, respectively. The 1-, 2-, 3-year recurrence-free survival rates were 47.5%, 34.1% and 21.3%, respectively. The 1-, 2-, 3-year overall survival rates of 19 patients with tumor recurrence were 55.6%, 55.6% and 27.8%, respectively. The 1-, 2-, 3-year overall survival rates of 17 patients without tumor recurrence were 71.3%, 50.4% and 42.0%, respectively. There was no significant difference in overall survival between patients with and without tumor recurrence ( χ2=0.24, P>0.05). (3) Prognostic factors analysis of patients. Results of multivariate analysis showed that pathological type as neuroendocrine carcinomas and mixed neuroendocrine-non-neuroendocrine neoplasms, non-R 0 margin were independent risk factors influencing overall survival time of patients ( hazard ratio=5.50, 5.33, 14.04, 95% confidence interval as 1.32-23.01, 1.17-24.35, 2.67-73.79, P<0.05). Conclusions:Biliary NENs lack specific clinical manifestations. Poorly differentiated neuroendocrine carcinomas are the most common pathological type. Pathological type as neuroendocrine carcinomas and mixed neuroendocrine-non-neuroendocrine neoplasms, non-R 0 margin are independent risk factors influencing prognosis of patients.
2.Clinicopathological characteristics and prognostic factors analysis of biliary neuroendocrine neoplasms
Meng WANG ; Zhihao ZHAO ; Jiuxing WEI ; Xiaodong XIN ; Ruoyan ZHANG ; Guoyue LYU
Chinese Journal of Digestive Surgery 2025;24(7):890-897
Objective:To investigate the clinicopathological characteristics and prognostic factors of biliary neuroendocrine neoplasms (NENs).Methods:The retrospective cohort study was conducted. The clinicopathological data of 36 patients who underwent surgical treatment for biliary NENs at The First Hospital of Jilin University from January 2013 to December 2023 were collected. There were 22 males and 14 females, aged (59±9)years. Observation indicators: (1) clinicopatholo-gical characteristics of patients; (2) follow-up; (3) prognostic factors analysis of patients. Compari-son of measurement data with normal distribution among multiple groups was conducted using the ANOVA. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. The Cox risk regression model was used for univariate and multivariate analyses. Results:(1) Clinicopatholo-gical characteristics of patients. None of the 36 patients with biliary NENs had carcinoid syndrome. There were 11 cases with tumor located at gallbladder, 14 cases with tumor located at bile duct, and 11 cases with tumor located at ampulla of Vater. There were significant differences in weight loss and TNM stage among biliary NENs patients with different tumor location ( χ2=9.14, 6.54, P<0.05). Of the 36 patients, there were 12 cases with neuroendocrine tumors, 16 cases with neuroendocrine carcinomas, and 8 cases with mixed neuroendocrine-non-neuroendocrine neoplasms. (2) Follow-up. All 36 patients were followed up for 39(range, 10-93)months. Of the 36 patients, 19 patients experienced tumor recurrence and 16 patients experienced tumor metastasis. There were 18 patients died. The median overall survival time of 36 patients was 30 months, with the 1-, 2-, 3-year overall survival rates of 63.9%, 51.0%, and 35.7%, respectively. The 1-, 2-, 3-year recurrence-free survival rates were 47.5%, 34.1% and 21.3%, respectively. The 1-, 2-, 3-year overall survival rates of 19 patients with tumor recurrence were 55.6%, 55.6% and 27.8%, respectively. The 1-, 2-, 3-year overall survival rates of 17 patients without tumor recurrence were 71.3%, 50.4% and 42.0%, respectively. There was no significant difference in overall survival between patients with and without tumor recurrence ( χ2=0.24, P>0.05). (3) Prognostic factors analysis of patients. Results of multivariate analysis showed that pathological type as neuroendocrine carcinomas and mixed neuroendocrine-non-neuroendocrine neoplasms, non-R 0 margin were independent risk factors influencing overall survival time of patients ( hazard ratio=5.50, 5.33, 14.04, 95% confidence interval as 1.32-23.01, 1.17-24.35, 2.67-73.79, P<0.05). Conclusions:Biliary NENs lack specific clinical manifestations. Poorly differentiated neuroendocrine carcinomas are the most common pathological type. Pathological type as neuroendocrine carcinomas and mixed neuroendocrine-non-neuroendocrine neoplasms, non-R 0 margin are independent risk factors influencing prognosis of patients.
3.Effect of smart air cell mattress on sleep quality
Yongpeng ZHU ; Yu WEI ; Xiaokang YU ; Jiuxing LIANG ; Yuxi LUO ; Hua LEI
International Journal of Biomedical Engineering 2023;46(1):18-22
Objective:To investigate the effect of smart air cell mattresses on sleep quality.Methods:Twenty healthy young people were enrolled as subjects, and each subject underwent a four-night polysomnographic monitoring experiment, including two nights each on a smart air cell mattress and a general mattress. The differences in sleep quality were compared by self-assessment of sleep quality, objective sleep indicators, and electroencephalogram (EEG) spectral analysis.Results:In the comparison between the smart air cell mattress and the general mattress, the differences in self-assessment of sleep quality and objective sleep indicators were not statistically significant (all P > 0.05), but the smart air cell mattress had a slight overall advantage. The relative power of EEG in the low-frequency band and the relative power of EEG in the high-frequency band were higher in the subjects with the smart air cell mattress. Conclusions:For the healthy young population, the smart air cell mattress can positively influence sleep quality to some extent, and the change in EEG relative power indicates an increase in sleep depth.

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