High-Resolution Mapping of Healthcare Pathways in Autism

Autistic children and adolescents experience substantial psychiatric and somatic comorbidity, but whether this excess morbidity follows structured diagnostic patterns or temporal trajectories remains unclear. We conducted a nationwide register-based study of 101,521 autistic individuals in Sweden and 958,093 age- and sex-matched peers, followed from birth through early life until a median age of 19.8 years. Across 12.86 million diagnostic codes from 9.49 million inpatient and specialist outpatient healthcare encounters, autistic individuals had increased risk of 165 of 187 examined conditions. Excess morbidity was not diffusely distributed across the phenome, but clustered into seven distinct, system-dominant domains. Temporal trajectory analyses further showed that autism-enriched diagnostic sequences were concentrated within respiratory, congenital, and mental–injury/poisoning-related domains. These findings indicate that morbidity in autistic young people is both clinically structured and temporally organized, providing a population-level framework for understanding the concentrated domains that drive excess healthcare burden.

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Publication Details

Journal
medRxiv
Published
2026-10-30
DOI
https://doi.org/10.64898/2026.10.30.26366679
Primary Topic
Autism Spectrum Disorder Research
Type
preprint

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preprint

High-Resolution Mapping of Healthcare Pathways in Autism

Diana Schendel, Can Hou, Yiwei Pu, Jakob Grove et al.
4 links
medRxiv
Autism Spectrum Disorder Research
preprint

High-Resolution Mapping of Healthcare Pathways in Autism

Diana Schendel, Can Hou, Yiwei Pu, Jakob Grove, Tai Ren, Viktor H. Ahlqvist, Zhenzhen Xie, Fei Ran Li, Fang Fang, Like Huang, Brian K. Lee
preprint en

Abstract

Autistic children and adolescents experience substantial psychiatric and somatic comorbidity, but whether this excess morbidity follows structured diagnostic patterns or temporal trajectories remains unclear. We conducted a nationwide register-based study of 101,521 autistic individuals in Sweden and 958,093 age- and sex-matched peers, followed from birth through early life until a median age of 19.8 years. Across 12.86 million diagnostic codes from 9.49 million inpatient and specialist outpatient healthcare encounters, autistic individuals had increased risk of 165 of 187 examined conditions. Excess morbidity was not diffusely distributed across the phenome, but clustered into seven distinct, system-dominant domains. Temporal trajectory analyses further showed that autism-enriched diagnostic sequences were concentrated within respiratory, congenital, and mental–injury/poisoning-related domains. These findings indicate that morbidity in autistic young people is both clinically structured and temporally organized, providing a population-level framework for understanding the concentrated domains that drive excess healthcare burden.

medRxiv
Shanghai Jiao Tong University (CN), Aarhus University (DK), Sichuan University (CN), XinHua Hospital (CN), Karolinska Institutet (SE), Drexel University (US)
Innovative Research Team of High-level Local University in Shanghai, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, NordForsk
Good health and well-being
Autism Spectrum Disorder Research
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