Making a Case for an Autism-Specific Multimorbidity Index: A Comparative Cohort Study / Dewy NIJHOF in Journal of Autism and Developmental Disorders, 56-11 (November 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-11 (November 2026) . - p.4429-4437 Titre : Making a Case for an Autism-Specific Multimorbidity Index: A Comparative Cohort Study Type de document : texte imprimé Auteurs : Dewy NIJHOF, Auteur ; Filip SOSENKO, Auteur ; Laura McKernan WARD, Auteur ; Deborah CAIRNS, Auteur ; Laura HUGHES, Auteur ; Ewelina RYDZEWSKA, Auteur Article en page(s) : p.4429-4437 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autistic people experience challenges in healthcare, including disparities in health outcomes and multimorbidity patterns distinct from the general population. This study investigated the efficacy of existing multimorbidity indices in predicting COVID- 19 mortality among autistic adults and proposes a bespoke index, the ASD-MI, tailored to their specific health profile. Using data from the CVD-COVID-UK/COVID-IMPACT Consortium, encompassing England’s entire population, we identified 1,027 autistic adults hospitalized for COVID- 19, among whom 62 died due to the virus. Predictors were selected using logistic regression with fivefold cross-validation, comparing AUCs amongst multimorbidity indices. Diabetes, coronary heart disease, and thyroid disorders were selected as predictors for the ASD-MI, outperforming the Quan Index, a general population-based measure, with an AUC of 0.872 versus 0.828, respectively. Notably, the ASD-MI exhibited better model fit (pseudo-R2 0.25) compared to the Quan Index (pseudo-R2 0.20). These findings underscore the need for tailored indices in predicting mortality risks among autistic individuals. However, caution is warranted in interpreting results, given the limited understanding of morbidity burden in this population. Further research is needed to refine autism-specific indices and elucidate the complex interplay between long-term conditions and mortality risk, informing targeted interventions to address health disparities in autistic adults. This study highlights the importance of developing healthcare tools tailored to the unique needs of neurodivergent populations to improve health outcomes and reduce disparities. En ligne : https://doi.org/10.1007/s10803-025-06823-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=595 [article] Making a Case for an Autism-Specific Multimorbidity Index: A Comparative Cohort Study [texte imprimé] / Dewy NIJHOF, Auteur ; Filip SOSENKO, Auteur ; Laura McKernan WARD, Auteur ; Deborah CAIRNS, Auteur ; Laura HUGHES, Auteur ; Ewelina RYDZEWSKA, Auteur . - p.4429-4437. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-11 (November 2026) . - p.4429-4437 Index. décimale : PER Périodiques Résumé : Autistic people experience challenges in healthcare, including disparities in health outcomes and multimorbidity patterns distinct from the general population. This study investigated the efficacy of existing multimorbidity indices in predicting COVID- 19 mortality among autistic adults and proposes a bespoke index, the ASD-MI, tailored to their specific health profile. Using data from the CVD-COVID-UK/COVID-IMPACT Consortium, encompassing England’s entire population, we identified 1,027 autistic adults hospitalized for COVID- 19, among whom 62 died due to the virus. Predictors were selected using logistic regression with fivefold cross-validation, comparing AUCs amongst multimorbidity indices. Diabetes, coronary heart disease, and thyroid disorders were selected as predictors for the ASD-MI, outperforming the Quan Index, a general population-based measure, with an AUC of 0.872 versus 0.828, respectively. Notably, the ASD-MI exhibited better model fit (pseudo-R2 0.25) compared to the Quan Index (pseudo-R2 0.20). These findings underscore the need for tailored indices in predicting mortality risks among autistic individuals. However, caution is warranted in interpreting results, given the limited understanding of morbidity burden in this population. Further research is needed to refine autism-specific indices and elucidate the complex interplay between long-term conditions and mortality risk, informing targeted interventions to address health disparities in autistic adults. This study highlights the importance of developing healthcare tools tailored to the unique needs of neurodivergent populations to improve health outcomes and reduce disparities. En ligne : https://doi.org/10.1007/s10803-025-06823-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=595

A Population-Based Cross-Sectional Investigation of COVID-19 Hospitalizations and Mortality Among Autistic People / Dewy NIJHOF in Journal of Autism and Developmental Disorders, 56-11 (November 2026)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 56-11 (November 2026) . - p.4451-4462 Titre : A Population-Based Cross-Sectional Investigation of COVID-19 Hospitalizations and Mortality Among Autistic People Type de document : texte imprimé Auteurs : Dewy NIJHOF, Auteur ; Filip SOSENKO, Auteur ; Daniel MACKAY, Auteur ; Michael FLEMING, Auteur ; Bhautesh D. JANI, Auteur ; Jill P. PELL, Auteur ; Chris HATTON, Auteur ; Deborah CAIRNS, Auteur ; Angela HENDERSON, Auteur ; Laura McKernan WARD, Auteur ; Ewelina RYDZEWSKA, Auteur ; Maria GARDANI, Auteur ; Elliot MILLINGTON, Auteur ; Craig MELVILLE, Auteur ; C. V. D. Covid- U. K. Covid-Impact Consortium THE, Auteur Article en page(s) : p.4451-4462 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Current evidence suggests the possibility that autistic people may be at more risk of COVID-19 infection, hospitalisation, and mortality than the general population. Previous studies, however, are either limited in scale or do not investigate potential risk factors. Research into risk factors focused on general population samples. The current study aims to investigate these risk factors in the autistic population. Using data-linkage and a whole-country population, this study modelled associations between autism and COVID-19 hospitalisation and mortality risk in adults, investigating a multitude of clinical and demographic risk factors. Autistic adults had higher rates of hospitalisation, Standardised Incident Ratio 1.6 in 2020 and 1.3 in 2021, and mortality, Standardised Mortality Ratio 1.52 in 2020 and 1.34 in 2021, due to COVID-19 than the general population. In both populations, age, complex multimorbidity and vaccination status were the most significant predictors of COVID-19 hospitalisation and mortality. Effects of psychotropic medication varied by class. Although similar factors exhibited a positive association with heightened risk of severe COVID-19 in both the autistic and general populations, with comparable effect sizes, mortality rates were elevated among the autistic population compared to the general population. Specifically, complex multimorbidity and classification of prescribed medications may emerge as particularly significant predictors of severe COVID-19 among individuals within the autistic population due to higher prevalence of complex multimorbidity in the autistic population and variability in the association between medication classes and severe COVID-19 between both populations, though further research is needed. En ligne : https://doi.org/10.1007/s10803-025-06844-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=595 [article] A Population-Based Cross-Sectional Investigation of COVID-19 Hospitalizations and Mortality Among Autistic People [texte imprimé] / Dewy NIJHOF, Auteur ; Filip SOSENKO, Auteur ; Daniel MACKAY, Auteur ; Michael FLEMING, Auteur ; Bhautesh D. JANI, Auteur ; Jill P. PELL, Auteur ; Chris HATTON, Auteur ; Deborah CAIRNS, Auteur ; Angela HENDERSON, Auteur ; Laura McKernan WARD, Auteur ; Ewelina RYDZEWSKA, Auteur ; Maria GARDANI, Auteur ; Elliot MILLINGTON, Auteur ; Craig MELVILLE, Auteur ; C. V. D. Covid- U. K. Covid-Impact Consortium THE, Auteur . - p.4451-4462. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 56-11 (November 2026) . - p.4451-4462 Index. décimale : PER Périodiques Résumé : Current evidence suggests the possibility that autistic people may be at more risk of COVID-19 infection, hospitalisation, and mortality than the general population. Previous studies, however, are either limited in scale or do not investigate potential risk factors. Research into risk factors focused on general population samples. The current study aims to investigate these risk factors in the autistic population. Using data-linkage and a whole-country population, this study modelled associations between autism and COVID-19 hospitalisation and mortality risk in adults, investigating a multitude of clinical and demographic risk factors. Autistic adults had higher rates of hospitalisation, Standardised Incident Ratio 1.6 in 2020 and 1.3 in 2021, and mortality, Standardised Mortality Ratio 1.52 in 2020 and 1.34 in 2021, due to COVID-19 than the general population. In both populations, age, complex multimorbidity and vaccination status were the most significant predictors of COVID-19 hospitalisation and mortality. Effects of psychotropic medication varied by class. Although similar factors exhibited a positive association with heightened risk of severe COVID-19 in both the autistic and general populations, with comparable effect sizes, mortality rates were elevated among the autistic population compared to the general population. Specifically, complex multimorbidity and classification of prescribed medications may emerge as particularly significant predictors of severe COVID-19 among individuals within the autistic population due to higher prevalence of complex multimorbidity in the autistic population and variability in the association between medication classes and severe COVID-19 between both populations, though further research is needed. En ligne : https://doi.org/10.1007/s10803-025-06844-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=595

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