1.Risk factors for textbook outcomes of intrahepatic cholangiocarcinoma after hepatectomy
Ying ZHAO ; Qingsong TUO ; Bing LIAO ; Yihua LIANG ; Yanrou CHEN ; Xiaoyu YIN ; Jiaming LAI ; Lijian LIANG ; Dong CHEN
Chinese Journal of Digestive Surgery 2022;21(7):923-930
Objective:To investigate the risk factors for textbook outcomes (TO) of intra-hepatic cholangiocarcinoma (ICC) after hepatectomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 155 ICC patients who underwent hepatectomy in the First Affiliated Hospital of Sun Yat-sen University from September 2014 to August 2019 were collected. There were 90 males and 65 females, aged 60(range, 26?82)years. Observation indicators: (1) treatment situations; (2) TO situations; (3) analysis of risk factors for postoperative TO. Follow-up was conducted using outpatient examination and telephone interview to detect postoperative sur-vival of patients up to October 2020. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the independent samples t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test, Yates' calibration chi-square test or Fisher exact probability. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. The univariate analysis was conducted using the corresponding statistical methods based on data type. The Logistic regression model was used for multivariate analysis. The receiver operating characteristic (ROC) curve was used for evaluating the diagnostic value of indicators (the optimal cut-off value). Results:(1) Treatment situations. Of the 155 patients, 46 cases underwent minor hepatectomy and 109 cases underwent major hepatectomy. Twenty-one of the 155 patients underwent combined bile duct reconstruction. Ninety-five of the 155 patients underwent lymph node dissection, including 41 cases with positive lymph node by postoperative histopathological examinations. The operation time and volume of intraoperative blood loss of the 155 patients were 250.0(range, 95.0?720.0)minutes and 300.0(range, 50.0?15 000.0)mL, respectively. The optimal cut-off values of the operation time and volume of intraoperative blood loss for TO calculated by ROC curve were 247.5 minutes and 325.0 mL, respectively. Of the 155 patients, 44 cases received intraoperative blood transfusion and 10 cases received postoperative blood transfusion (5 cases with intraoperative and postoperative blood transfusion). Seventy-four of the 155 patients had postoperative complications, including 39 cases with mild complications and 35 cases with serious complications. The total duration of hospital stay of the 155 patients was 19 (range, 8?77)days. (2) TO situations. Of the 155 patients, 150 cases achieved R 0 resection, 120 cases had no major postoperative complications, 106 cases had no perioperative blood transfusion, 79 cases had no prolonged duration of hospital stay, 152 cases had no death within postoperative 30 days and 150 cases had no readmission within 30 days after discharge. Of the 155 patients, 56 cases achieved postoperative TO, while 99 patients did not achieve TO. (3) Analysis of risk factors for postoperative TO. Results of univariate analysis showed that preoperative biliary drainage, preoperative Child-Pugh grading of liver function, preoperative asymp-tomatic leukocytosis, preoperative total bilirubin, preoperative alkaline phosphatase, preoperative CA19-9, preoperative CA125, operation time, volume of intraoperative blood loss, tumor diameter, pathological T staging and pathological N staging were related factors for preoperative TO of ICC patients undergoing hepatectomy ( χ2=4.31, 4.31, 4.38, 4.80, Z=?4.15, χ2=10.74, 15.44, 16.59, 27.53, 6.53, 6.77, 9.26, P<0.05). Bile duct reconstruction was also a related factor for postoperative TO of ICC patients ( P<0.05). Results of multivariate analysis showed that preoperative biliary drainage, preoperative asymptomatic leukocytosis, preoperative CA19-9 >35 U/mL, preoperative CA125 >35 U/mL and volume of intraoperative blood loss >325.0 mL were independent risk factors for postoperative TO of ICC patients undergoing hepatectomy ( odds ratio=74.77, 11.73, 2.40,4.86, 6.42, 95% confidence intervals as 1.80?113.39, 1.19?115.54, 1.04?5.53, 1.78?13.26, 2.41?17.11, P<0.05). Conclusions:Preoperative biliary drainage, preoperative asymptomatic leukocytosis, preoperative CA19-9 >35 U/mL, preoperative CA125 >35 U/mL and volume of intraoperative blood loss >325.0 mL are independent risk factors for postoperative TO of ICC patients undergoing hepatectomy.
2.Association of mobile phone overuse with sleep disorder and unhealthy eating behaviors in college students of a medical university in Guangzhou.
Leqin FANG ; Xiaoheng XU ; Xiaomin LIN ; Yanlin CHEN ; Fuying ZHENG ; Yanrou BEI ; Lu ZHANG ; Bin ZHANG
Journal of Southern Medical University 2019;39(12):1500-1505
OBJECTIVE:
To investigate the association of mobile phone use with sleep disorder and unhealthy eating behavior among college students of a medical university in Guangzhou.
METHODS:
Mobile Phone Involvement Questionnaire (MPIQ), Pittsburgh Sleep Quality Index (PSQI) and the Three Factor Eating Questionnaire Revised 21 Item (TFEQ-R21) were used to survey 2122 undergraduates of the medical university. One-sample t test, One-way ANOVA and multiple linear regression analysis were used to analyze the data.
RESULTS:
Age, body mass index (BMI), phone use before sleep, phone use frequency, sleep quality (assessed by total PSQI score) and the dimension scores of TFEQ-R21 for uncontrolled eating, cognitive restraint, and emotional eating were all significantly correlated with the total score of MPIQ ( < 0.05). Phone use before sleep, high frequency of mobile phone use, poor sleep quality and emotional eating were associated with high MPIQ scores, while lower cognitive restraint and emotional eating tendency were correlated with lower scores of MPIQ. Bivariate analysis revealed that age (=0.088, < 0.001), BMI (=0.055, < 0.05), PSQI scores (=0.204, < 0.001), TFEQ-UE scores (=0.199, < 0.001), TFEQ-CR scores (=-0.076, < 0.001), TFEQ-EE scores (=0.170, < 0.001), phone use before sleep (=0.429, < 0.001), and phone use frequency (=0.316, < 0.001) were all significantly correlated with MPIQ scores; multiple linear regression analysis showed that model 4 incorporating the scores of TFEQ-UE, TFEQ-CR, and TFEQ-EE explained up to 21.8% of the main effect (adjusted R= 21.5%).
CONCLUSIONS
Mobile phone overuse is associated with poor sleep quality and unhealthy eating behaviors, and education and interventions for mobile phone use is essential among college students.
Cell Phone
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Feeding Behavior
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Humans
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Sleep Wake Disorders
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Students
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Universities
3.Validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire in college students.
Lianhong LIN ; Xiaoheng XU ; Leqin FANG ; Likai XIE ; Xiaomin LING ; Yanlin CHEN ; Fuying ZHENG ; Yanrou BEI ; Lu ZHANG ; Bin ZHANG
Journal of Southern Medical University 2020;40(5):746-751
OBJECTIVE:
To test the validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire (MPIQ) in college students.
METHODS:
We assessed the degree of phone dependence using the MPIQ among 2122 college students. One month later, 60 students were randomly selected for assessment with the MPIQ, and the ROC curve was generated to evaluate the true positive rate (sensitivity) and false positive rate at different cutoff values to determine the optimal cutoff score of the MPIQ.
RESULTS:
Among 98.9% of the participants who finished all the items, their MPIQ scores show a positive skew distribution and a one-factor structure. The load scores of the items ranged from 0.54 to 0.77. The Cronbach's α coefficient and the Spearman Brown split reliability were 0.84 and 0.83, respectively, the correlation coefficients between the items and total score ranged from 0.54 to 0.76, and the test-retest reliability was 0.48 ( < 0.001). At the optimal cut-off score of 32, the sensitivity and the specificity of the MPIQ were 0.634 and 0.652, respectively.
CONCLUSIONS
At the optimal cut-off score of 32, the MPIQ has good validity and reliability for assessing phone dependence among college students.
Cell Phone
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Humans
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Reproducibility of Results
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Students
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Surveys and Questionnaires