1.Associated risk factors analysis of 232 cases of aortic dissection
Wei SONG ; Aiping WANG ; Wenju YAN ; Pu ZHANG ; Huijuan LI ; Wei FENG ; Bo DU
Clinical Medicine of China 2016;32(4):338-341
Objective To analyze the risk factors associated with morbidity and mortality of aortic dissection through the retrospective analysis.Methods Two hundred and thirty-two patients with aortic dissection(AD) who were treated in the Central Hospital of Taian were select as cases group,and were divided into A group of dissection involved ascending aorta with 91 cases and B group of dissection not involved ascending aorta with 141 cases according to type of Stanford.And 232 cases patients with chest pain in the same period of hospitalization and exclusion of aortic dissection were randomly selected as the control group.Through the history data collection,the relationship between age,sex,smoking and drinking history,history of previous illness,family history of cardiovascular disease,predisposing factors and the incidence of AD,and the difference of risk factors between A type and B type were analized.Single factor and multi factor Logistic regression analysis were performed on part of the related factors in the case group.Results Smoking history,hypertension history,coronary atherosclerotic heart disease history,Marfan syndrome and hyperuricemia of cases group were higher than of control group (x2 =6.165,11.700,9.260,14.070,35.170;P< 0.05).Marfan syndrome,coronary atherosclerotic heart disease history and hyperlipidemia history of A group were higher than of B group,hypertension history of B group was higher than A group,and the differences were significant (x2 =3.998,4.534,7.308,7.827;P<0.05).In the correction of other factors,the risk of death in patients with type A was 3.27times that of the B type(P<0.001),the risk of death in patients with a history of hypertension were 1.48 times more than that without history of hypertension(P=0.014),the risk of death in patients with hypotension shock were 2.27 times more than that without hypotension shock (P < 0.001).Conclusion History of smoking,history of hypertension,history of coronary heart disease and hyperuricemia are the risk factors of aortic dissection.A aortic dissection type,a history of hypertension,and hypotension or cardiogenic shock are the independent risk factors causing the death of patients with aortic dissection.
2.Bone morphogenetic protein 2 expression in rabbit radial defect site with different lengths
Yulin ZHAN ; Zhiquan AN ; Luyuan SUN ; Changqing ZHANG ; Bingfang ZENG ; Feng XU ; Guozhu HOU ; Wenju LI ; Xiaomeng ZHU ; Xinghua SONG
Chinese Journal of Tissue Engineering Research 2013;(30):5511-5517
BACKGROUND:It has been studied that the distribution of bone morphogenetic protein 2 is regular under bone defect situation. OBJECTIVE:To observe the expression of bone morphogenetic protein 2 in rabbit radial defect site with different lengths. METHODS:Forty-eight New Zealand rabbits were divided into two groups randomly, 0.5 cm bone defect and 3.0 cm bone defect were made by wire saw at the middle part of radius bone after anaesthesia. RESULTS AND CONCLUSION:Western blot results showed that in the 0.5 cm bone defect group, the expression of bone morphogenetic protein 2 of the tissues in the bone defect site was increased gradual y at 1, 3, 4 weeks after operation, and the expression in each defect group was increased when compared with that immediately after injury (P<0.05). In the 3.0 cm bone defect group, the expression of bone morphogenetic protein 2 of tissues in bone defect site was increased gradual y and reached to its peak at 3 weeks after the operation (P<0.05), and the peak value in the 3.0 cm bone defect group was significantly higher than that in 0.5 cm bone defect group (P<0.05). The peak value was maintained in high level. The comparison of bone cal us formation showed that the bone cal us formation of 3.0 cm bone defect group was less than that of the 0.5 cm bone defect group at 3 and 4 weeks after operation (P<0.05). The results indicate that expression of the bone morphogenetic protein 2 in 3.0 cm bone defect site is increased significantly, but the expression level cannot make the bone defect heal itself.
3.Risk factor analysis on anastomotic leakage after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and establishment of a nomogram prediction model
Wei JIANG ; Mingyuan FENG ; Xiaoyu DONG ; Shumin DONG ; Jixiang ZHENG ; Xiumin LIU ; Wenju LIU ; Jun YAN
Chinese Journal of Gastrointestinal Surgery 2019;22(8):748-754
Objective To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model. Methods This study was a retrospective case?control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3?T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short?term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C?index) whose rage was 0.5 to 1.0. Higher C?index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer?Lemeshow test yielding a non?significant statistic (P>0.05) suggested no departure from the perfect fit. Results Of 359 cases, 224 were male, 135 were female, 189 were ≥ 55 years old, 98 had a BMI > 24 kg/m2, 176 had preoperative albumin ≤ 40 g/L, 128 had distance from tumor to anus ≤ 5 cm, 257 were TNM 0?II stage, 102 were TNM III?IV stage, and 84 achieved pCR after neoadjuvant therapy. The incidence of postoperative AL was 9.5% (34/359). Univariate analysis showed that gender, preoperative albumin and distance from tumor to the anus were associated with postoperative AL (All P<0.05). Multivariate logistic regression analysis revealed that male (OR=2.480, 95% CI: 1.012?6.077, P=0.047), preoperative albumin≤40 g/L (OR=5.319, 95% CI: 2.106?13.433, P<0.001) and distance from tumor to anus≤5 cm (OR=4.339, 95% CI: 1.990?9.458, P<0.001) were significant independent risk factors for postoperative AL. According to these results, a nomogram prediction model was constructed. The male was for 55 points, the preoperative albumin≤40 g/L was for 100 points, and the distance from tumor to the anus ≤ 5 cm was for 88 points. Adding all the points of each risk factor, the corresponding probability of total score would indicated the morbidity of postoperative AL predicted by this nomogram modal. The AUC of the nomogram was 0.792 (95% CI: 0.729?0.856), and the C?index was 0.792 after internal verification. The calibration curve showed that the predictive results were well correlated with the actual results (P=0.562). Conclusions Male, preoperative albumin ≤ 40 g/L and distance from tumor to the anus≤5 cm are independent risk factors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. The nomogram prediction model is helpful to predict the probability of AL after surgery.
4.Risk factors of anastomotic leakage after robotic surgery for low and mid rectal cancer
Jingwen CHEN ; Wenju CHANG ; Zhiyuan ZHANG ; Guodong HE ; Qingyang FENG ; Dexiang ZHU ; Tuo YI ; Qi LIN ; Ye WEI ; Jianmin XU
Chinese Journal of Gastrointestinal Surgery 2020;23(4):364-369
Objective:To investigate the risk factors associated with anastomotic leakage after robotic surgery in mid-low rectal cancer.Methods:A retrospective case-control study method was conducted. Inclusion criteria: (1) 18 to 80 years old; (2) pathologically confirmed rectal cancer; (3) distance <10 cm from tumor to anal margin; (4) robotic anterior rectal resection. Patients with previous history of colorectal cancer surgery, distant metastases or other malignant tumors, undergoing emergency surgery, with severe abdominal adhesions or those receiving combined organ resection were excluded. Based on the above criteria, 636 patients undergoing robotic radical sphincter-preserving surgery for mid-low rectal cancer in Zhongshan Hospital from January 2015 to December 2018 were included in this study, including 398 males (62.6%) and 238 females (37.4%) with a mean age of (61.9±11.3) years. Sixty-eight cases (10.7%) received neoadjuvant chemoradiotherapy. Amony the 636 included patients, 123(19.3%) underwent natural orifice specimen extraction surgery (NOSES) and 15 (2.3%) underwent preventive stoma. According to the cirteria developed by the International Rectal Cancer Research Group in 2010, the anastomotic leakage was classified as grade A (no requirement of intervention), B (requirement of intervention), and C (requirement of operation). Logistic regression was used to analyze the relationship between anastomotic leakage and clinicopathological factors. Factors in univariate analysis with P<0.05 were included in the multivariate analysis. Results:Anastomotic leakage occurred in 38 cases (6.0%). The grading of anastomotic leakage was grade A in 13 cases (2.0%), grade B in 19 cases (3.0%), and grade C in 6 cases (0.9%). The 3-year disease-free survival rate of patients with anastomotic leakage and without anastomotic leakage was 83.5% and 83.6% respectively ( P=0.862); the 3-year overall survival rate of the two group was 85.1% and 87.5% respectively ( P=0.296). The results of univariate logistic regression analysis showed that male ( P=0.011), longer operation time ( P=0.042), distance ≤5 cm from tumor to anal margin ( P=0.012), more intraoperative blood loss ( P=0.048) were associated with anastomotic leakage (all P<0.05). NOSES was not associated with anastomotic leakage ( P=0.704). Multivariate analysis confirmed that male (OR=3.03, 95%CI: 1.37 to 7.14, P=0.010), operation time ≥180 minutes (OR=2.04, 95%CI: 1.03 to 3.99, P=0.040), distance ≤5 cm from tumor to anal margin (OR=2.56, 95%CI:1.28 to 5.26, P=0.008) were independent risk factors for anastomotic leakage. Conclusion:Male, short distance from tumor to anal margin, and long operation time are independent risk factors for anastomotic leakage in patients undergoing robotic mid-low rectal cancer radical surgeries. These patients need to be cautiously treated during surgery.
5.Study on work stress among the head nurses in third-grade class-A hospitals in Chengdu
Xuehua WU ; Xiaolin LI ; Wenju FENG ; Jiameng LI
Chinese Journal of Modern Nursing 2014;20(26):3386-3387
Objective To describe the status of work stress among the head nurses .Methods Totals of 388 cases in third-grade class-A hospitals in Chengdu were investigated with the Work Stress Scale .Results The average score of work stress of the head nurses was (38.70 ±7.14), and 53.35%head nurses'work stress was higher than the average level .The score of work stress varied with age , education degree , office term and work departments (F/t=3.013,4.329,4.240,2.879, respectively;P <0.05).Conclusions Work stress is a general psychological problem among the head nurses and it is important to take effective psychological intervention .
6.Risk factor analysis on anastomotic leakage after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and establishment of a nomogram prediction model
Wei JIANG ; Mingyuan FENG ; Xiaoyu DONG ; Shumin DONG ; Jixiang ZHENG ; Xiumin LIU ; Wenju LIU ; Jun YAN
Chinese Journal of Gastrointestinal Surgery 2019;22(8):748-754
Objective To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model. Methods This study was a retrospective case?control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3?T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short?term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C?index) whose rage was 0.5 to 1.0. Higher C?index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer?Lemeshow test yielding a non?significant statistic (P>0.05) suggested no departure from the perfect fit. Results Of 359 cases, 224 were male, 135 were female, 189 were ≥ 55 years old, 98 had a BMI > 24 kg/m2, 176 had preoperative albumin ≤ 40 g/L, 128 had distance from tumor to anus ≤ 5 cm, 257 were TNM 0?II stage, 102 were TNM III?IV stage, and 84 achieved pCR after neoadjuvant therapy. The incidence of postoperative AL was 9.5% (34/359). Univariate analysis showed that gender, preoperative albumin and distance from tumor to the anus were associated with postoperative AL (All P<0.05). Multivariate logistic regression analysis revealed that male (OR=2.480, 95% CI: 1.012?6.077, P=0.047), preoperative albumin≤40 g/L (OR=5.319, 95% CI: 2.106?13.433, P<0.001) and distance from tumor to anus≤5 cm (OR=4.339, 95% CI: 1.990?9.458, P<0.001) were significant independent risk factors for postoperative AL. According to these results, a nomogram prediction model was constructed. The male was for 55 points, the preoperative albumin≤40 g/L was for 100 points, and the distance from tumor to the anus ≤ 5 cm was for 88 points. Adding all the points of each risk factor, the corresponding probability of total score would indicated the morbidity of postoperative AL predicted by this nomogram modal. The AUC of the nomogram was 0.792 (95% CI: 0.729?0.856), and the C?index was 0.792 after internal verification. The calibration curve showed that the predictive results were well correlated with the actual results (P=0.562). Conclusions Male, preoperative albumin ≤ 40 g/L and distance from tumor to the anus≤5 cm are independent risk factors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. The nomogram prediction model is helpful to predict the probability of AL after surgery.
7.Risk factors of anastomotic leakage after robotic surgery for low and mid rectal cancer
Jingwen CHEN ; Wenju CHANG ; Zhiyuan ZHANG ; Guodong HE ; Qingyang FENG ; Dexiang ZHU ; Tuo YI ; Qi LIN ; Ye WEI ; Jianmin XU
Chinese Journal of Gastrointestinal Surgery 2020;23(4):364-369
Objective:To investigate the risk factors associated with anastomotic leakage after robotic surgery in mid-low rectal cancer.Methods:A retrospective case-control study method was conducted. Inclusion criteria: (1) 18 to 80 years old; (2) pathologically confirmed rectal cancer; (3) distance <10 cm from tumor to anal margin; (4) robotic anterior rectal resection. Patients with previous history of colorectal cancer surgery, distant metastases or other malignant tumors, undergoing emergency surgery, with severe abdominal adhesions or those receiving combined organ resection were excluded. Based on the above criteria, 636 patients undergoing robotic radical sphincter-preserving surgery for mid-low rectal cancer in Zhongshan Hospital from January 2015 to December 2018 were included in this study, including 398 males (62.6%) and 238 females (37.4%) with a mean age of (61.9±11.3) years. Sixty-eight cases (10.7%) received neoadjuvant chemoradiotherapy. Amony the 636 included patients, 123(19.3%) underwent natural orifice specimen extraction surgery (NOSES) and 15 (2.3%) underwent preventive stoma. According to the cirteria developed by the International Rectal Cancer Research Group in 2010, the anastomotic leakage was classified as grade A (no requirement of intervention), B (requirement of intervention), and C (requirement of operation). Logistic regression was used to analyze the relationship between anastomotic leakage and clinicopathological factors. Factors in univariate analysis with P<0.05 were included in the multivariate analysis. Results:Anastomotic leakage occurred in 38 cases (6.0%). The grading of anastomotic leakage was grade A in 13 cases (2.0%), grade B in 19 cases (3.0%), and grade C in 6 cases (0.9%). The 3-year disease-free survival rate of patients with anastomotic leakage and without anastomotic leakage was 83.5% and 83.6% respectively ( P=0.862); the 3-year overall survival rate of the two group was 85.1% and 87.5% respectively ( P=0.296). The results of univariate logistic regression analysis showed that male ( P=0.011), longer operation time ( P=0.042), distance ≤5 cm from tumor to anal margin ( P=0.012), more intraoperative blood loss ( P=0.048) were associated with anastomotic leakage (all P<0.05). NOSES was not associated with anastomotic leakage ( P=0.704). Multivariate analysis confirmed that male (OR=3.03, 95%CI: 1.37 to 7.14, P=0.010), operation time ≥180 minutes (OR=2.04, 95%CI: 1.03 to 3.99, P=0.040), distance ≤5 cm from tumor to anal margin (OR=2.56, 95%CI:1.28 to 5.26, P=0.008) were independent risk factors for anastomotic leakage. Conclusion:Male, short distance from tumor to anal margin, and long operation time are independent risk factors for anastomotic leakage in patients undergoing robotic mid-low rectal cancer radical surgeries. These patients need to be cautiously treated during surgery.
8.Overall management strategies for colorectal cancer patients during the COVID-19 outbreak
Wenju CHANG ; Qingyang FENG ; Dexiang ZHU ; Jianmin XU
Chinese Journal of Digestive Surgery 2020;19(3):251-255
The Corona Virus Disease 2019 (COVID-19) since December, 2019 has a wide range of infection due to the strong infectious characteristics. Both medical staff and patients are at increased risk of infection. It is an urgent clinical problem for specialist doctors to work with diagnosis and treatment of cancer patients during the epidemic situation. Based on the colorectal cancer diagnosis and treatment guidelines (2019 CSCO guideline), combined with their own experience, the authors propose the overall management strategies for colorectal cancer patients. This strategies cover the key diagnosis and treatment of colorectal cancer, and provide targeted clinical practice. These work will be helpful for colorectal cancer specialists to carry out the diagnosis and treatment of colorectal cancer effectively under the epidemic of COVID-19.
9. Risk factor analysis on anastomotic leakage after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and establishment of a nomogram prediction model
Wei JIANG ; Mingyuan FENG ; Xiaoyu DONG ; Shumin DONG ; Jixiang ZHENG ; Xiumin LIU ; Wenju LIU ; Jun YAN
Chinese Journal of Gastrointestinal Surgery 2019;22(8):748-754
Objective:
To investigate the risk factors of anastomotic leakage (AL) after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and construct a nomogram prediction model.
Methods:
This study was a retrospective case-control study that collected and reviewed the clinicopathological data of 359 patients who underwent laparoscopic surgery from January 2012 to January 2018, including 202 patients from the Department of General Surgery, Nanfang Hospital of Southern Medical University and 157 patients from the Department of Gastrointestinal Surgery of Fujian Provincial Cancer Hospital. Inclusion criteria: (1) age ≥ 18 years old; (2) diagnosis as rectal cancer by biopsy before treatment; (3) distance from tumor to anus within 12 cm; (4) locally advanced stage (T3-T4 or N+) diagnosed by imaging (CT, MRI, PET or ultrasound); (5) standardized neoadjuvant therapy followed by laparoscopic radical operation. Exclusion criteria: (1) previous history of colorectal cancer surgery; (2) short-term or incomplete standardized neoadjuvant therapy; (3) Miles, Hartmann, emergency surgery, palliative resection; (4) conversion to open surgery. Clinicopathological data, including age, gender, body mass index (BMI), preoperative albumin, distance from tumor to anus, operation hospital, American Society of Anesthesiologists score (ASA score), operation time, T stage, N stage, M stage, TNM stage, pathological complete response (pCR) were analyzed with univariate analysis to identify predictors for AL after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy. Then, incorporated predictors of AL, which were screened by multivariate logistic regression, were plotted by the "rms" package in R software to establish a nomogram model. According to the scale of the nomogram of each risk factor, the total score could be obtained by adding each single score, then the corresponding probability of postoperative AL could be acquired. The area under ROC curve (AUC) was used to evaluate the predictive ability of each risk factor and nomogram on model. AUC > 0.75 indicated that the model had good predictive ability. The Bootstrap method (1000 bootstrapping resamples) was applied as internal verification to show the robustness of the model. The discrimination of the nomogram was determined by calculating the average consistency index (C-index) whose rage was 0.5 to 1.0. Higher C-index indicated better consistency with actual risk. The calibration curve was used to assess the calibration of prediction model. The Hosmer-Lemeshow test yielding a non-significant statistic (