Efficacy of cognitive-behavioral therapy combined with habit reversal training on anxiety disorders in children with Tourette's syndrome.

BACKGROUND: Cognitive-behavioral therapy (CBT) and habit reversal training (HRT) have shown application potential in addressing tic symptoms and comorbid psychiatric conditions. Despite their theoretical potential, empirical evidence on their combined efficacy remains limited. AIM: To evaluate the efficacy of CBT combined with HRT on anxiety disorders in children with Tourette's syndrome (TS). METHODS: Clinical data of children with TS admitted to our hospital from January 2022 to June 2023 were collected, and the patients were grouped into the conventional therapy (control) group and the CBT combined with HRT group. Baseline characteristics, anxiety scores, tic severity scores, treatment adherence, and parental satisfaction were assessed. Statistical analysis was performed using t-tests, chi-square tests, and correlation analysis. RESULTS: A total of 136 patients, including 65 patients in the control group and 71 patients in the CBT combined with HRT group, were included. The CBT combined with HRT group showed remarkable improvements compared with the control group. Post-intervention assessment revealed a decrease in anxiety scores from 63.52 ± 1.81 to 40.53 ± 1.64 (t = 2.022, P = 0.045), and the Yale Global Tic Severity Scale total score decreased from 22.14 ± 5.67 to 16.28 ± 4.91 (t = 2.288, P = 0.024). Treatment adherence was significantly higher in the CBT combined with HRT group (85.47 ± 7.62%) compared with the control group (82.32 ± 6.54%; t = 2.596, P = 0.010). Parental satisfaction scores were also higher in the CBT combined with HRT group (8.69 ± 1.77) compared with the control group (7.87 ± 1.92; t = 2.592, P = 0.011). CONCLUSION: This study demonstrates that CBT combined with HRT significantly reduces anxiety symptoms and tic severity in children with TS, with higher treatment adherence and parental satisfaction. These findings support the potential application of this comprehensive therapeutic approach for TS treatment.

[Alignment method for metabolite chromatographic peaks using an N-acyl glycine retention index system].

Peak alignment is a crucial data-processing step in untargeted metabolomics analysis that aims to integrate metabolite data from multiple liquid chromatography-mass spectrometry (LC-MS) batches for enhanced comparability and reliability. However, slight variations in the chromatographic separation conditions can result in retention time (RT) shifts between consecutive analyses, adversely affecting peak alignment accuracy. In this study, we present a retention index (RI)-based chromatographic peak-shift correction (CPSC) strategy to address RT shifts and align chromatographic peaks for metabolomics studies. A series of N-acyl glycine homologues (C2-C23) was synthesized as calibrants, and an LC RI system was established. This system effectively corrected RT shifts arising from variations in flow rate, gradient elution, instrument systems, and chromatographic columns. Leveraging the RI system, we successfully adjusted the RT of raw data to mitigate RT shifts and then implemented the Joint Aligner algorithm for peak alignment. We assessed the accuracy of the RI-based CPSC strategy using pooled human fecal samples as a test model. Notably, the application of the RI-based CPSC strategy to a long-term dataset spanning 157 d as an illustration revealed a significant enhancement in peak alignment accuracy from 15.5% to 80.9%, indicating its ability to substantially improve peak-alignment precision in multibatch LC-MS analyses.

[Pollution Characteristics and Source Apportionment of VOCs in Urban Areas of Liaocheng in Summer].

Based on the online monitoring data of volatile organic compounds(VOCs) and ozone(O3) in Liaocheng in June 2021, the concentration levels, compositional characteristics, daily variation characteristics, and ozone formation potential(OFP) of VOCs on polluted days and clean days were systematically analyzed. Potential source areas of VOCs were identified by the potential source contribution function(PSCF) and concentration-weighted trajectory(CWT). The sources of VOCs in Liaocheng were analyzed using the characteristic species ratio and positive matrix factorization(PMF). The results showed that the hourly mean values of VOCs concentrations on polluted days and clean days in Liaocheng in June 2021 were(115.38±59.12) µg·m-3 and(88.10±33.04) µg·m-3, respectively, and the concentration levels of VOCs in each category showed that oxygenated volatile organic compounds(OVOCs)>alkanes>halogenated hydrocarbons>aromatic hydrocarbons>alkenes>alkynes>organosulfur. VOCs species with large differences in concentrations between polluted and clean days were among the top ten species of the hourly mean VOCs concentrations. The daily trends of concentrations of total VOCs, alkanes, alkynes, aromatic hydrocarbons, halogenated hydrocarbons, and organosulfur showed that the daytime concentrations were lower than the nighttime concentrations, and the daily changes in OVOCs concentrations showed the characteristics of high in the daytime and low at nighttime. The OFP was 285.29 µg·m-3 on polluted days and 212.00 µg·m-3 on clean days, and OVOCs, alkenes, and aromatic hydrocarbons contributed significantly to ozone formation. The PSCF and CWT results found that the potential source areas of VOCs in Liaocheng were concentrated in the northern and northeastern part of Dongchangfu District and the central and southwestern part of Chiping District. The results of the characteristic species ratio indicated that the VOCs in Liaocheng might have been more from coal combustion, gasoline volatilization, and motor vehicle exhaust. The results of PMF showed that industrial emission sources(30.57%), motor vehicle exhaust and oil and gas volatilization sources(19.44%), combustion sources(17.23%), air aging and secondary generation sources(13.69%), solvent usage sources(12.75%), and natural sources(6.32%) were the main sources of VOCs in Liaocheng.