ObjectiveTo systematically review the medication adherence in children with tic disorder to assist in the selection of clinical treatment options and enhance the efficacy of medications for tic disorder.MethodsDatabases including Medline (Ovid), EMbase (Ovid), The Cochrane Library, PsycINFO (EBSCOhost), CINAHL Plus (EBSCOhost), CNKI, WanFang Data and VIP were searched from inception to August 2020, and original studies on medication adherence in children with tic disorder were included. Two researchers independently screened literature, extracted data on the definition of compliance, compliance rate, and factors affecting compliance, and evaluated risk bias of included studies. Systematic review was performed to analyze the status of medication adherence in children with tic disorder.ResultsA total of 12 studies were included, involving seven randomized controlled trials, two case series studies, and three cross-sectional studies. Most studies failed to specify the definition of compliance. The results of cross-sectional studies showed that the proportion of children with good medication compliance was 29.3% to 47.1%. The first-line treatment drugs, tiapride, risperidone, aripiprazole, and clonidine, had relatively good adherence. Medication adherence was affected by drug factors, patient and family factors, and environmental factors.ConclusionsThe adherence rate of medications for tic disorder varies between studies. Few studies have analyzed the factors that affect medication adherence for tic disorder, and some influencing factors are controversial. The first-line treatment drugs, tiapride, risperidone, aripiprazole, and clonidine, have high medication adherence and are recommended for clinical use.
Objective To systematically review the risk factors of tic disorder (TD) in children. Methods Databases including PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, CBM, VIP, and WanFang Data were electronically searched to collect observational studies on children with TD from inception to June 29th 2021. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using RevMan 5.3 software. Results A total of 32 studies involving 556 560 children were included. The results of meta-analysis showed that the risk factors for TD were as follows: male (OR=2.23, 95%CI 1.08 to 4.61, P=0.03), premature delivery (OR=1.66, 95%CI 1.04 to 2.64, P=0.03), low birth weight (OR=1.27, 95%CI 1.07 to 1.50, P=0.005), history of neonatal jaundice (OR=7.46, 95%CI 1.15 to 48.42, P=0.04), other adverse factors in the perinatal period (OR=2.74, 95%CI 1.89 to 3.98, P<0.000 01), poor eating habits (OR=2.11, 95%CI 1.52 to 2.93, P<0.000 01), long-term viewing of electronic products (OR=2.22, 95%CI 1.31 to 3.75, P=0.003), history of febrile convulsions (OR=2.43, 95%CI 1.21 to 4.86, P=0.01), recurrent respiratory infection (OR=2.63, 95%CI 1.49 to 4.64, P=0.000 8), chronic tonsillitis (OR=2.01, 95%CI 1.31 to 3.09, P=0.001), rhinopathy (OR=1.77, 95%CI 1.35 to 2.31, P<0.000 1), attention deficit hyperactivity disorder (ADHD) (OR=5.32, 95%CI 3.77 to 7.51, P<0.000 01), decreased blood iron content (OR=3.68, 95%CI 1.56 to 8.67, P=0.003), family history of TD (OR=6.33, 95%CI 3.20 to 12.53, P<0.000 01), family history of mental illness (OR=2.39, 95%CI 2.03 to 2.83, P<0.000 01), maternal mental disorder during pregnancy (OR=2.49, 95%CI 1.99 to 3.11, P<0.000 01), alcohol drinking during pregnancy (OR=1.40, 95%CI 1.09 to1.79, P=0.007), smoking or passive smoking during pregnancy (OR=1.84, 95%CI 1.68 to 2.01, P<0.000 01), and corporal punishment (OR=3.57, 95%CI 1.52 to 8.34, P=0.003). Parity (second birth and above) (OR=0.41, 95%CI 0.25 to 0.68, P=0.000 6) was a protective factor for tic disorder. Conclusions Current evidence shows that the incidence of TD is related to gender, family history of mental illness, maternal life habits during pregnancy, perinatal history, chronic respiratory diseases, abnormal trace elements, and strict education methods, etc. Moreover, parity is a protective factor for the occurrence of TD. Due to the limited quantity and quality of included studies, more high-quality studies are required to verify the above conclusions.
ObjectiveTo summarize the clinical characteristics of epilepsy comorbid with tic disorders in children, and discuss its diagnosis, treatment and management. MethodsThe clinical data of 12 epileptic children comorbid with tic disorders treated in Wuhan children's Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology from December, 2018 to June, 2021 was collected retrospectively. The clinical characteristics, EEG, MRI, treatment, prognosis of epileptic children comorbid with tic disorders were analyzed and summarized. ResultsThere were 12 epileptic children comorbid with tic disorders in total, 11 males, 1 female, average (10.0±2.9) years old. The onset age of epilepsy was ranged from 0.6 to 11 years old, average (6.5±3.3) years old. The onset age of tic disorders ranged from 3.5 to 11 years old, average (7.2±2.0) years old. The epileptic seizure types included focal seisures (Focal, 8 cases), atypical absence seizures(AAS, 2 cases), myoclonic seizure (MS, 1 case), generalized tonic-clonic seisures (GTCS, 3 cases). The epileptic syndromes included benign epilepsy with centrotemporal spikes (BECT, 2 cases), Dravet syndrome (1 case), juvenile myoclonic epilepsy(JME, 1 case), temporal lobe epilepsy (TLE, 1 case).The average oral antiepileptic seizure drug was 1, including lamotrigine(LTG), valproic acid(VPA), oxcarbazepine(OXC), levetiracetam(LEV), topiramate(TPM) and Perampanel. The clinical course of tic disorders ranged from 0.5 to 3.0 years, average (1.5±0.9) years. The clinical types included provisional tic disorder (PTD, 4 cases), chronic tic disorder (CTD, 5 cases, all of which were motor tics) and Tourette syndrome (TS, 3 cases). The severity of tic disorders was mild up to the last follow-up. In addition to tic disorders, other comorbidities included attention deficit and hyperactivity disorder (ADHD, 2 cases), 1 children was mixed type, 1 children was hyperactive impulse dominated type, psychomotor development disorder(3 cases), enuresis (1 case) and emotional disorder (1 case). There were interictal epileptiform discharges in 12 children with EEG, including focal discharges(7 cases, 1 EEG showed that focal discharges originated from the right temporal region), multiple discharges (5 cases, 1 EEG showed that multiple discharges originated from the right centro-temporal region), and clinical seizures were monitored in 6 cases (3 cases of focal seizures, 2 cases of atypical absence seizures, and 1 case of myoclonic seizure). Magnetic resonance imaging (MRI) of head showed no obvious abnormalities. The follow-up time was ranged from 0.5 to 3.0 years. Up to the last follow-up (2022.01.01), 8 cases of epilepsy had been controlled and 4 cases of tic disorders were cured. The prognosis of epilepsy comorbid with tic disorders in most children was good. ConclusionsThe prognosis of epilepsy comorbid with tic disorders in most children is good, the types of epileptic seizures and epileptic syndromes are various. Prognosis of these chidren mainly depends on the control of epileptic seizures, the severity of tics and existence of other neuropsychiatric comorbidities. Therefore, drug treatment mainly focuses on controlling the epileptic seizures, and the impact of comorbidities on children can not be ignored. The clinical management needs regular follow-up, timely evaluation and corresponding interventions.
Objective To analyze the causal relationship between gut microbiota and tic disorder based on Mendelian randomization (MR). Methods A total of 196 known microbiota (9 phyla, 16 classes, 20 orders, 32 families, and 119 genera) in the human intestinal microbiota dataset downloaded from the MiBioGen database were selected as the exposure factors, and the dataset of tic disorder (finn-b-KRA_PSY_TIC) containing 172 patients and 218620 controls was downloaded from the genome-wide association study database as the outcome variable. Inverse variance weighted was used as the main analysis method, and the causal relationship between gut microbiota and tic disorder was evaluated using odds ratio (OR) and its 95% confidence interval (CI). Horizontal pleiotropy was tested by MR-Egger intercept and MR-PRESSO global test, heterogeneity was assessed by Cochran’s Q test, and sensitivity analysis was performed by leave-one-out method. Results Inverse variance weighted results showed that the Family Rhodospirillaceae [OR=0.398, 95%CI (0.191, 0.831), P=0.014], Order Rhodospirillales [OR=0.349, 95%CI (0.164, 0.743), P=0.006], and Parasutterella [OR=0.392, 95%CI (0.171, 0.898), P=0.027] had negative causal relationships with tic disorder. The Genus Lachnospira [OR=8.784, 95%CI (1.160, 66.496), P=0.035] and Candidatus Soleaferrea [OR=2.572, 95%CI (1.161, 5.695), P=0.020] had positive causal relationships with tic disorder. In addition, MR-Egger intercept and MR-PRESSO global test showed no horizontal pleiotropy, Cochran’s Q test showed no heterogeneity, and leave-one-out sensitivity analysis showed the results were stable. Conclusions A causal relationship exists between gut microbiota and tic disorder. The Family Rhodospirillaceae, Order Rhodospirillales, and Parasutterella are associated with a decreased risk of tic disorder, while the Genus Lachnospira and Candidatus Soleaverea can increase the risk of tic disorder.