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Establishment of differential model of recovery treatment for children with minor brain injury and mental disorder syndrome

  • Received: 23 March 2021 Accepted: 08 June 2021 Published: 22 June 2021
  • The paper established a differential equation model for 194 children with ADHD in outpatient clinics from September 2019 to August 2020 and compiled a children's clinical diagnostic interview scale based on the fourth edition of the American Diagnostic and Statistical Manual of Mental Disorders (DSM-Ⅳ). The CDIS standard divides it into three phenotypes: attention deficit predominant (ADHD-I), hyperactivity-impulsive predominance (ADHD-HI) and mixed (ADHD-C). The results of the study showed that the distribution of subtypes in the study cases: ADHD-I accounted for 45.9% (89 cases), ADHD-HI accounted for 7.7% (15 cases), ADHD-C accounted for 46.4% (90 cases); ADHD-C: ADHD-I is 1:1. CDIS scale total score: 194 cases of attention deficit symptoms were (7.2 ± 1.4) points, and hyperactivity-impulsive symptoms were (5.4 ± 2.2) points. The frequency of attention deficit symptoms in 194 cases was (79.5 ± 2.9) %, and the frequency of hyperactivity-impulsive symptoms was (59.8 ± 3.5) %. Therefore, it can be concluded that DSM-IV defines three phenotypes in this sample. The proportion of ADHD-HI is low, and the proportion of ADHD-I and ADHD-C is similar; age influences the phenotype distribution.

    Citation: Wei Zhang, Ai Ma, Aseel Takshe, Bishr Muhamed Muwafak. Establishment of differential model of recovery treatment for children with minor brain injury and mental disorder syndrome[J]. Mathematical Biosciences and Engineering, 2021, 18(5): 5614-5624. doi: 10.3934/mbe.2021283

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  • The paper established a differential equation model for 194 children with ADHD in outpatient clinics from September 2019 to August 2020 and compiled a children's clinical diagnostic interview scale based on the fourth edition of the American Diagnostic and Statistical Manual of Mental Disorders (DSM-Ⅳ). The CDIS standard divides it into three phenotypes: attention deficit predominant (ADHD-I), hyperactivity-impulsive predominance (ADHD-HI) and mixed (ADHD-C). The results of the study showed that the distribution of subtypes in the study cases: ADHD-I accounted for 45.9% (89 cases), ADHD-HI accounted for 7.7% (15 cases), ADHD-C accounted for 46.4% (90 cases); ADHD-C: ADHD-I is 1:1. CDIS scale total score: 194 cases of attention deficit symptoms were (7.2 ± 1.4) points, and hyperactivity-impulsive symptoms were (5.4 ± 2.2) points. The frequency of attention deficit symptoms in 194 cases was (79.5 ± 2.9) %, and the frequency of hyperactivity-impulsive symptoms was (59.8 ± 3.5) %. Therefore, it can be concluded that DSM-IV defines three phenotypes in this sample. The proportion of ADHD-HI is low, and the proportion of ADHD-I and ADHD-C is similar; age influences the phenotype distribution.



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    [1] D. L. Van Praag, M. C. Cnossen, S. Polinder, L. Wilson, A. I. Maas, Post-traumatic stress disorder after civilian traumatic brain injury: A systematic review and meta-analysis of prevalence rates, J. Neurotrauma, 36 (2019), 3220-3232. doi: 10.1089/neu.2018.5759
    [2] J. J. Barton, P. J. Ranalli, Vision therapy: ocular motor training in mild traumatic brain injury. Ann. Neurol., 88 (2020), 453-461.
    [3] R. J. Novorolsky, M. Nichols, J. S. Kim, E. V. Pavlov, J. J. Woods, J. J. Wilson, et al., The cell-permeable mitochondrial calcium uniporter inhibitor Ru265 preserves cortical neuron respiration after lethal oxygen glucose deprivation and reduces hypoxic/ischemic brain injury, J. Cereb. Blood Flow Metab., 40 (2020), 1172-1181.
    [4] D. Pavlovic, S. Pekic, M. Stojanovic, V. Popovic, Traumatic brain injury: neuropathological, neurocognitive and neurobehavioral sequelae, Pituitary, 22 (2019), 270-282.
    [5] N. Kreitzer, R. Ancona, C. McCullumsmith, B. G. Kurowski, B. Foreman, L. B. Ngwenya, et al., The effect of antidepressants on depression after traumatic brain injury: a meta-analysis. J. Head trauma Rehabil., 34 (2019), E47-E54.
    [6] A. Slowinski, R. Coetzer, C. Byrne, Pharmacotherapy effectiveness in treating depression after traumatic brain injury: a meta-analysis, J. Neuropsychiatry Clin. Neurosci., 31 (2019), 220-227. doi: 10.1176/appi.neuropsych.18070158
    [7] C. J. Nederpelt, S. J. van der Aalst, M. G. Rosenthal, P. Krijnen, M. V. Huisman, W. C. Peul, et al., Consequences of pre-injury utilization of direct oral anticoagulants in patients with traumatic brain injury: A systematic review and meta-analysis, J. Trauma Acute Care Surg., 88 (2020), 186-194.
    [8] G. W. Fuller, R. Evans, L. Preston, H. B. Woods, S. Mason, Should adults with mild head injury who are receiving direct oral anticoagulants undergo computed tomography scanning? A systematic review, Ann. Emerg. Med., 73 (2019), 66-75. doi: 10.1016/j.annemergmed.2018.07.020
    [9] S. Svensson, T. Vedin, L. Clausen, P. A. Larsson, M. Edelhamre, Application of NICE or SNC guidelines may reduce the need for computerized tomographies in patients with mild traumatic brain injury: a retrospective chart review and theoretical application of five guidelines, Scand. J. Trauma, Resusc. Emerg. Med., 27 (2019), 1-10. doi: 10.1186/s13049-018-0583-1
    [10] J. Chen, X. Qu, Z. Li, D. Zhang, L. Hou, Peak neutrophil-to-lymphocyte ratio correlates with clinical outcomes in patients with severe traumatic brain injury, Neurocrit. Care, 30 (2019), 334-339. doi: 10.1007/s12028-018-0622-9
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