Volume 45 Issue 1
Jan.  2024
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Xiongwu YU, Yunli ZHOU, Zhiyong DING, Chaohong WANG, Zeyi XIE, Hongna LU, Hua JIN. Effect Evaluation of Multidisciplinary Collaborative Diagnosis and Treatment Model for Children with Brain Injury[J]. Journal of Kunming Medical University, 2024, 45(1): 156-162. doi: 10.12259/j.issn.2095-610X.S20240126
Citation: Xiongwu YU, Yunli ZHOU, Zhiyong DING, Chaohong WANG, Zeyi XIE, Hongna LU, Hua JIN. Effect Evaluation of Multidisciplinary Collaborative Diagnosis and Treatment Model for Children with Brain Injury[J]. Journal of Kunming Medical University, 2024, 45(1): 156-162. doi: 10.12259/j.issn.2095-610X.S20240126

Effect Evaluation of Multidisciplinary Collaborative Diagnosis and Treatment Model for Children with Brain Injury

doi: 10.12259/j.issn.2095-610X.S20240126
  • Received Date: 2023-11-01
    Available Online: 2024-01-06
  • Publish Date: 2024-01-25
  •   Objective  To summarize the experience of multi-disciplinary team(MDT) in the pediatric department of Qujing Maternal and Child Health Hospital, and to evaluate the effectiveness of MDT on neonatal brain injury.   Methods  The clinical data of children with brain injury and treated in the pediatrics department of Qujing Maternal and Child Health Hospital from November 2019 to April 2023 were collected. The children with brain injury and treated from October 2019 to June 2020 were regarded as the non-MDT group, and the children with brain injury and treated from July 2020 to April 2023 were regarded as the MDT group for comparative analysis. Chi-square test /t-test was used to compare and analyze the clinical data of the two groups.   Results  Among the 890 cases of pediatric brain injury, there were 519 males and 371 females. The median and quartiles of the age distribution for the two groups were as follows: MDT group 2.00 (0.82, 5.00) years and non-MDT group 1.00 (1.00, 4.00) years. Craniocerebral injury was the main type of brain injury in both groups, in addition, among children with craniocerebral injury and intracranial hemorrhage, the cure rate of MDT group was higher than that of non-MDT group, and the difference was statistically significant (P < 0.05). Among the 405 children in MDT group, 154(38.0%) underwent the surgery, while among the 485 children in non-MDT group, 121(24.9%) underwent the surgery. The difference was statistically significant (P < 0.05). 23.2% of children in MDT group were in critical condition during the hospitalization, which was significantly lower than that in non-MDT group (30.5%), and the difference was statistically significant (P < 0.05). The unhealed rate of MDT group(2.0%) was also significantly lower than that of non-MDT group (5.6%), the cure rate of MDT group (40.5%) was significantly higher than that of non-MDT group (34.4%), and there was a statistically significant difference (P < 0.05). The expense of treatment, medicine and sanitary materials in MDT group were lower than those in non-MDT group, and the differences were statistically significant (P < 0.05). The multivariate Logistic regression model analysis of the cure rate of children with brain injury showed that the MDT model could effectively improve the cure rate of children with brain injury (RR = 1.513, 95%CI = 1.134-2.020). The results of multiple linear regression model analysis showed that there was no statistical difference in the effect of MDT on the actual hospitalization days of children (P > 0.05).   Conclusion  Using MDT model to diagnose and treat children with brain injury is helpful to improve the cure rate, reduce the risk of children’ s disease aggravation, and achieve the significant therapeutic effects in children with brain injury. MDT model is worth popularizing and applying in children with brain injury.
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