Hao Zhou

Dr. Hao Zhou

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 June 2020 in Neuroscience Bulletin
Verified
Journal Article
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HZHao Zhou
Hao Zhou
XXXiu Xu
Xiu Xu
WYWeili Yan
Weili Yan
XZXiaobing Zou
Xiaobing Zou
LWLijie Wu
Lijie Wu
LTLATENT-NHC Study Team
LATENT-NHC Study Team

1 June 2020 in Psychiatry Research
Verified
Journal Article
Closed access
YCYun Chen
Yun Chen
HZHao Zhou
Hao Zhou
YZYan Zhou
Yan Zhou
FZFang Zhou
Fang Zhou

1 September 2018 in Environmental Toxicology and Pharmacology
Verified
Journal Article
Closed access
HZHao Zhou
Hao Zhou
WZWeiqing Zhao
Weiqing Zhao
LYLiu Ye
Liu Ye
ZCZhihe Chen
Zhihe Chen
YCYuxia Cui
Yuxia Cui

25 February 2024 in Pediatric Investigation
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Journal Article
Open access
TWTianqi Wang
Tianqi Wang
YMYu Ma
Yu Ma
XDXiaonan Du
Xiaonan Du
CLChunpei Li
Chunpei Li
ZPZhongbi Peng
Zhongbi Peng
HZHao Zhou
Hao Zhou
Importance: Digital technology is now widely available for the interventions of autism, but its validity and feasibility remain to be proved.Objective: This study aimed to investigate the effectiveness of digital health interventions (DHIs) in improving core symptoms or intelligence quotient in patients with autism spectrum disorder (ASD).Methods: Three databases including PubMed, Cochrane, and Scopus, were searched on November 15, 2022. Randomized clinical trials that enrolled patients with ASD who received DHIs and a control group without DHI treatment were included. Cochrane risk of bias tool (RoB 2) was applied to assess the risk of bias.Results: A total of 33 studies, involving 1285 participants (658 [51.2%] in DHI groups and 627 [48.8%] in control groups), were analyzed to investigate the differences between DHI groups and control groups. Significantly greater improvements in the overall performance of ASD were observed in the DHI groups compared to the control groups (including active, waitlist, treatment‐as‐usual, and no treatment) with an effect size of 1.89 (Cohen's d 95% confidence interval [CI]: 1.26–2.52). Studies with treatment‐as‐usual, waitlist, and no treatment control demonstrated large effect sizes of Cohen's d 3.41 (95% CI: 0.84–5.97), Cohen's d 4.27 (95% CI: 1.95–6.59), and Cohen's d 4.52 (95% CI: 2.98–6.06) respectively. In contrast, studies with active control revealed insignificant effect sizes (Cohen's d 0.73, 95% CI: 0.12–1.33).Interpretation: This meta‐analysis found significantly greater improvements in core symptoms or intelligence quotient in ASD patients receiving DHIs compared to those in control conditions. ASD patients may benefit from the DHIs and reduce the economic burden.

14 October 2022 in Frontiers in Immunology
Verified
Journal Article
Open access
HZHao Zhou
Hao Zhou
QDQun Deng
Qun Deng
ZYZailan Yang
Zailan Yang
ZTZhaoqing Tai
Zhaoqing Tai
KLKaiyu Liu
Kaiyu Liu
YWYi Wang
Yi Wang
Background: The Clinical Assessment Scale for Autoimmune Encephalitis (CASE), a new scale used for rating the severity of autoimmune encephalitis (AE), has demonstrated good validity and reliability in adults with AE, but there is a shortage of data on its performance in children with AE. This study aimed to assess the reliability and validity of the CASE in a cohort of children with AE.Methods: Forty-seven pediatric inpatients with AE who visited Guizhou Provincial People’s Hospital between January 1, 2017, and October 31, 2021, were enrolled in the study. The CASE and mRS scores were obtained through a review of detailed medical records from the Health Information System by two pediatric neurologists. Finally, the performance of the CASE in this pediatric AE cohort was analyzed.Results: The results showed that anti-NMDA receptor encephalitis was the most common (61.70%) type of AE in children. The most common clinical manifestations were language problems (85.1%), psychiatric symptoms (80.9%), and dyskinesia/dystonia (78.7%). The CASE had good item reliability and interevaluator reliability; the Cronbach’s alpha value of the total score was 0.825, and the intraclass correlation (ICC) was 0.980. The Cronbach’s alpha value by item ranged from 0.16 to 0.406; items 1 and 9 had the lowest and highest Cronbach’s alpha values, respectively. The criterion validity between CASE and mRS total scores, as quantified by Pearson correlation, was 0.459, indicating slight to good criterion validity. The area under the curve (AUC) was 0.992 (95% confidence interval: 0.974-1.00). A cutoff value of 14 was selected to determine whether a patient needed admission to the ICU; this cutoff had a sensitivity of 100% and a specificity of 92%. The changes in EEG, MRI, and antibody titers were not related to the severity of AE. A CASE score cutoff of 9 was selected to indicate whether second-line treatment would be needed.Conclusion: The CASE has good reliability and validity in children with AE; however, some items of the CASE may not apply to this population. Thus, an in-depth study of the CASE is needed in children with AE.

22 November 2019 in BMC Pediatrics
Verified
Journal Article
Open access
PDF file
HZHao Zhou
Hao Zhou
ZCZhihe Chen
Zhihe Chen
WZWeiqing Zhao
Weiqing Zhao
YLYe Liu
Ye Liu
YCYuxia Cui
Yuxia Cui
Background: The mental health and quality of life in children with asthma have attracted widespread attention. This study focused on the evaluation of mental health conditions and their clinical characteristics in Chinese children with asthma. Methods: A total of 261 children with asthma aged 6 to 16 years old and 261 age- and gender-matched children from the general population were recruited to participate in this study from Guizhou Provincial People’s Hospital. The parents of all subjects were interviewed using the MINI Kid and were required to finish a clinical characteristics questionnaire. Logistic regression analysis was performed to evaluate risk factors. Results: The prevalence of mental health conditions in the asthma group was significantly higher than that in the control group (26.4% vs 14.6%, P < 0.001). A total of 10 mental health conditions was identified in the asthma group, the most common of which was ADHD (11.5%; 30/261), followed by oppositional defiant disorder (ODD) (10.7%; 28/261), separation anxiety disorder (6.1%; 16/261), social anxiety disorder (3.8%; 10/261), specific phobias (2.3%; 6/261), agoraphobia without panic (1.5%; 4/261), (mild) manic episodes (1.1%; 3/261), major depressive episodes (MDEs) (0.8%; 2/261), movement (tic) disorder (0.8%; 2/261), and dysthymia (0.4%; 1/261). A total of 6 neuropsychiatric conditions was detected in the control group, including ODD (5.7%; 15/261), ADHD (4.6%; 12/261), social anxiety disorder (3.1%; 8/261), seasonal anxiety disorder (SAD) (2.3%; 6/261), specific phobias (1.1%; 3/261), and agoraphobia without panic (0.4%; 1/261). The prevalence rates of ODD, ADHD, and SAD differed significantly between the two groups (P < 0.05). Multiple regression analysis revealed that severe persistent asthma (OR = 3.077, 95% CI 1.286–7.361), poor asthma control (OR = 2.005, 95% CI 1.111–3.619), and having asthma for > 3 years (OR = 2.948, 95% CI 1.580–5.502) were independent risk factors for the presence of mental health conditions in asthmatic children. Conclusions: Children with asthma have a higher rate of mental health conditions than non-asthmatic children. Standardized diagnosis and treatment may help reduce the risk of neuropsychiatric conditions.