ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Objective:To summarize the single-center experience of serial transverse enteroplasty (STEP) in children with intestinal failure.Methods:The clinical data of 13 children who underwent STEP surgery at our department from Jan 2016 to Dec 2022 was retrospectively analyzed.Results:Eight children were females ,5 were males. There were 10 premature infants and 3 full-term infants. The gestational age was 26 +3-39 +5 weeks, and the birth weight was 860 -3 700 g. The median age of surgery was 12 months, the median length of small intestine was 70 (50-130) cm, the diameter of preoperative intestinal dilation was about 4.5 to 7.5 cm, and the operation interval was 2.5 to 3.0 cm. Continuous transverse enteroenteroplasty resulted in an average increase of 75% (66% to 100%) in the length of the dilated intestinal segment. The total length of the small intestine increases by 16.0% (12.5%-30.0%). After the operation, 12 of the 13 children (92.3%) were removed from parenteral nutrition to achieve intestinal adaptation of the remaining bowel, and the mean time of withdrawal from parenteral nutrition was 138(20-1 011) days after the operation. Intestinal dilatation occurred in 2 patients, and gastrointestinal bleeding occurred in 4 patients, which healed after conservative treatment. Conclusions:STEP operation is suitable for children with short intestinal length and obvious expansion of intestinal tube. STEP can not only reduce the diameter of the enlarged intestine, but also extend the length of the intestine, increase the feeding tolerance, improve the clinical effect of enteral nutrition, and shorten the time for children to achieve intestinal adaptation.

OBJECTIVE: To summarize the clinical characteristics and treatment of type Ⅲ-b congenital intestinal atresia (CIA). METHODS: The clinical data of 12 type Ⅲ-b CIA treated in the Children's Hospital of Zhejiang University School of Medicine from January 2015 to December 2017 were analyzed retrospectively. RESULTS: Of the 12 patients diagnosed as type Ⅲ-b CIA in operation, treatment was refused during operation by their parents in 2 cases. For one child, only the proximal intestine was partly resected in the first operation, dilatation and dysplasia of the duodenum was diagnosed and total duodenum was resected and sutured in the second operation, as the child had postoperative intestinal obstruction. For one child, due to the long distal normal intestine, distal apple-peel like intestine was partly resected without mesenteric reformation. For the rest 8 children total duodenum resection and mesenteric reformation were performed. During the postoperative follow-up, one case was early rejected for further treatment by parents, one case died from complex congenital heart disease, 5 cases had the complication of short bowel syndrome. All 8 survival children received parenteral nutrition support after operation, 5 of whom received parenteral nutrition support for more than 42 days, and they were followed up for 1-3 years after discharge. The short-time efficacy was satisfactory. CONCLUSIONS For children with type Ⅲ-b CIA, the distal apple-peel like intestine should be preserved as much as possible, the mesenteric reformation should be performed and the proximal dilated bowel should be partly resected and sutured. Postoperative nutritional support and early intestinal rehabilitation contribute to the compensation for rest intestines.
Child ; Humans ; Intestinal Atresia ; complications ; surgery ; therapy ; Intestines ; surgery ; Parenteral Nutrition ; Retrospective Studies ; Short Bowel Syndrome ; complications ; Treatment Outcome

OBJECTIVETo evaluate the efficacy and safety of transumbilical single-site laparoscopic surgery for congenital duodenal obstruction (CDO) in neonates.

METHODSA retrospective analysis of clinical data of 15 patients with CDO undergoing transumbilical single-site laparoscopic treatment during November 2017 and January 2018 (single-site group), and 20 patients with CDO undergoing conventional three-hole laparoscopic treatment during August 2017 and October 2017 (three-hole group) was performed. All patients were from the Children's Hospital, Zhejiang University School of Medicine. The operation time, time of initial feeding, time of adequate feeding, length of hospital stay after operation and postoperative complications were compared between two groups.

RESULTSThe operations were completed in all patients. No patient converted to laparotomy, and no massive hemorrhage was observed during operation. The operation time of single-site group was (90±10) min for patients with duodenal diamond-shaped anastomosis and (81±15) min for patients with Ladd operation, while those of three-hole group were (85±9) min and (72±11) min, respectively. Postoperative initial feeding time of single-site group was (5.0±1.0) d, and that of the three-hole group was (4.8±0.8) d. The adequate feeding time was (9.0±1.2) d in the single-site group, and (9.3±0.8) d in the three-hole group. The length of hospital stay after operation was (11.2±2.5) d in the single-site group, and (11.5±2.8) d in the three-hole group. There was no significant difference in operation time, postoperative initial feeding time, adequate feeding time and length of hospital stay after operation between two groups (all >0.05).

CONCLUSIONSTransumbilical single-site laparoscopic surgery for CDO in neonates is safe and effective, and the postoperative abdominal scar is more hidden.

Objective Developing an index system to evaluate the community teaching bases of general practice, for the purpose of identifying and completing at least one demonstration teaching base for general practice in each city in 2010. Methods Initial building of the index system by means of Delphi method and experts interview, followed by selection of experts for consultation, statistical analysis on the results of letter inquiries, and rounded up by the establishment of the index system for evaluation in the end. Results The recovery rates of a two-round Delphi questionnaire response are 94.12% and 100.00%respectively. Expert's authority degrees of five indexes are all over 0.8, which suggests high expert's authority. The average coordination coefficient of two-round Delphi experts consultation is 0.262and 0.534 respectively, showing good experts coordination. In the end, the study established four first-class indexes, ten second-class indexes, 41 third-class indexes and five additional indexes. Conclusions The index system is established in view of the current development of community teaching bases. It focuses on evaluating teachers, the teaching process and base's function. The evaluation system provides reference for selecting demonstration community teaching bases of general practice.