新加坡自闭症儿童认知结果的诊断模式和预测因素。

IF 2 Q1 MEDICINE, GENERAL & INTERNAL
Chui Mae Wong, Hwan Cui Koh, Pratibha Agarwal, Lourdes Mary Daniel
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引用次数: 0

摘要

本研究旨在研究新加坡自闭症儿童的诊断模式、认知和适应功能以及学校安置结果,并评估认知结果的早期预测因素。方法:回顾性分析某发展儿科专科门诊2008-2011年出生、转介自闭症门诊或被诊断为自闭症的患儿的病历资料。数据项目包括人口统计数据、诊断方法、心理评估结果、早期干预出勤率和学校安置结果。结果:共2124例患儿,其中男性82.6%;66.4%的华人、13.4%的马来人、9.8%的印度人和10.5%的其他出生年份的儿童被诊断为自闭症。首次临床诊断为自闭症的平均(SD)年龄为3.56(1.14)岁,81.0%的儿童接受了一致的首次临床诊断。共有1811例(85.2%)接受了自闭症诊断观察量表(ADOS)的正式诊断评估,平均(SD)年龄为4.16(1.11)岁。1326例认知和适应性评估结果中,轻度认知障碍占16.6%,中重度认知障碍占19.8%。在1483名获得学校安置结果的学生中,45.9%进入主流学校,21.8%进入提供国家课程的特殊课程学校,32.3%进入需要定制课程的特殊课程学校。Logistic回归显示,预测智力障碍的因素包括较高的ADOS评分(Comm+SI总分的aOR 95% CI为1.13 [1.08-1.19],SBRI总分的aOR 95% CI为1.53[1.33-1.75]),较高的社会沟通支持水平(基于DSM-5标准)(二级aOR [95% CI] 2.14[1.10-4.16],三级aOR[5.77-38.64]),以及少数民族(马来人aOR [95% CI] 2.82[1.52-5.20],印度人aOR [95% CI] 5.19[2.36-11.44],其他种族aOR [95% CI] 4.54[1.91-10.79])。结论:这些发现可以指导世界各地的决策者和从业者战略性地分配诊断、干预和教育资源,最大限度地提高自闭症儿童在不同环境下的发展结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic patterns and predictors of cognitive outcomes in autistic children in Singapore.

Introduction: This study aimed to examine patterns of diagnosis, cognitive and adaptive functioning, and school placement outcomes in autistic children in Singapore, and to assess earlier predictive factors of cognitive outcomes.

Method: Retrospective data were extracted from medical records of a specialist developmental paediatrics service for children born in 2008-2011 and referred to the autism clinic or were given a diagnosis of autism. Data items included demographic data, diagnostic methods, psychological assessment results, early intervention attendance and school placement outcomes.

Results: A total of 2124 children (82.6% male; 66.4% Chinese, 13.4% Malay, 9.8% Indian and 10.5% Others) were diagnosed with autism from the 4 birth-year cohorts. The mean (SD) age of the first clinical diagnosis of autism was 3.56 (1.14) years, with 81.0% of children receiving a concordant initial clinical diagnosis. A total of 1811 (85.2%) had a formal diagnostic assessment using the Autism Diagnostic Observation Schedule (ADOS) at a mean (SD) age of 4.16 (1.11) years. Of 1326 with cognitive and adaptive assessment results, 16.6% had mild and 19.8% had moderate-severe cognitive impairment. Of 1483 with school placement outcomes, 45.9% went to mainstream schools, 21.8% entered SPED schools offering the national curriculum and 32.3% required customised curriculum SPED schools. Logistic regression showed that factors predicting intellectual impairment included higher ADOS scores (aOR 95% CI 1.13 [1.08-1.19] for Comm+SI total and 1.53 [1.33-1.75] for SBRI total), higher social communication level of support (based on the DSM-5 criteria) (aOR [95% CI] 2.14 [1.10-4.16] for level 2 and 14.94 [5.77-38.64] for level 3), and minority race (aOR [95% CI] 2.82 [1.52-5.20] for Malay, 5.19 [2.36-11.44] for Indian, and 4.54 [1.91-10.79] for Others).

Conclusion: These findings could guide policymakers and practitioners worldwide to strategically allocate diagnostic, intervention and educational resources, maximising developmental outcomes for autistic children across diverse settings.

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