Health profiles of adults with autism spectrum disorder: Differences between women and men / Leann S. DAWALT in Autism Research, 14-9 (September 2021)  

Public ISBD [article]  inAutism Research > 14-9 (September 2021) . - p.1896-1904 Titre : Health profiles of adults with autism spectrum disorder: Differences between women and men Type de document : Texte imprimé et/ou numérique Auteurs : Leann S. DAWALT, Auteur ; Julie LOUNDS TAYLOR, Auteur ; A. MOVAGHAR, Auteur ; J. HONG, Auteur ; B. KIM, Auteur ; M. H. BRILLIANT, Auteur ; M. R. MAILICK, Auteur Article en page(s) : p.1896-1904 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/complications/epidemiology  Autistic Disorder  Electronic Health Records  Female  Humans  Male  Sleep Wake Disorders  adults  electronic health records  health  health care utilization  sex differences Index. décimale : PER Périodiques Résumé : The purpose of the present study was to investigate the hypothesis that women with autism have poorer health compared with men with autism, and compared with women without autism. Utilizing electronic health records drawn from a single health care system serving over 2 million individuals, 2119 adults with diagnosed autism spectrum disorders were compared with age- and sex-matched controls. When considering health care utilization, we found evidence of multiplicative risk for conditions within some domains (i.e., nutrition conditions, neurologic disease, psychiatric conditions, and sleep disorders) such that women with autism spectrum disorder (ASD) experienced double jeopardy-meaning they had greater rates of health care utilization within a domain than what would separately be expected by virtue of being a woman and having ASD. For other domains (i.e., endocrine disorders, gastrointestinal disorders), the risk was additive such that being a female and having ASD were both associated with higher health care utilization, but there were no significant interaction effects. It was only with respect to one domain (cardiovascular) that rates of health care utilization were reflective of neither ASD diagnosis nor sex. Overall, our findings suggest that women with ASD are a vulnerable subgroup with high levels of health care utilization. LAY SUMMARY: This study asked whether women with autism have poorer health compared with men with autism, and compared with women without autism. To answer this question, we used data from electronic health records. We found that women with autism spectrum disorder (ASD) were at the greatest risk for health problems such as nutrition conditions, neurologic disease, psychiatric conditions, and sleep disorders. More research on health of women with ASD is needed. En ligne : http://dx.doi.org/10.1002/aur.2563 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Health profiles of adults with autism spectrum disorder: Differences between women and men [Texte imprimé et/ou numérique] / Leann S. DAWALT, Auteur ; Julie LOUNDS TAYLOR, Auteur ; A. MOVAGHAR, Auteur ; J. HONG, Auteur ; B. KIM, Auteur ; M. H. BRILLIANT, Auteur ; M. R. MAILICK, Auteur . - p.1896-1904. Langues : Anglais (eng) in Autism Research > 14-9 (September 2021) . - p.1896-1904 Mots-clés : Adult  Autism Spectrum Disorder/complications/epidemiology  Autistic Disorder  Electronic Health Records  Female  Humans  Male  Sleep Wake Disorders  adults  electronic health records  health  health care utilization  sex differences Index. décimale : PER Périodiques Résumé : The purpose of the present study was to investigate the hypothesis that women with autism have poorer health compared with men with autism, and compared with women without autism. Utilizing electronic health records drawn from a single health care system serving over 2 million individuals, 2119 adults with diagnosed autism spectrum disorders were compared with age- and sex-matched controls. When considering health care utilization, we found evidence of multiplicative risk for conditions within some domains (i.e., nutrition conditions, neurologic disease, psychiatric conditions, and sleep disorders) such that women with autism spectrum disorder (ASD) experienced double jeopardy-meaning they had greater rates of health care utilization within a domain than what would separately be expected by virtue of being a woman and having ASD. For other domains (i.e., endocrine disorders, gastrointestinal disorders), the risk was additive such that being a female and having ASD were both associated with higher health care utilization, but there were no significant interaction effects. It was only with respect to one domain (cardiovascular) that rates of health care utilization were reflective of neither ASD diagnosis nor sex. Overall, our findings suggest that women with ASD are a vulnerable subgroup with high levels of health care utilization. LAY SUMMARY: This study asked whether women with autism have poorer health compared with men with autism, and compared with women without autism. To answer this question, we used data from electronic health records. We found that women with autism spectrum disorder (ASD) were at the greatest risk for health problems such as nutrition conditions, neurologic disease, psychiatric conditions, and sleep disorders. More research on health of women with ASD is needed. En ligne : http://dx.doi.org/10.1002/aur.2563 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder / Lauren BISHOP-FITZPATRICK in Autism Research, 11-8 (August 2018)  

Public ISBD [article]  inAutism Research > 11-8 (August 2018) . - p.1120-1128 Titre : Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Lauren BISHOP-FITZPATRICK, Auteur ; A. MOVAGHAR, Auteur ; J. S. GREENBERG, Auteur ; D. PAGE, Auteur ; Leann S. DAWALT, Auteur ; M. H. BRILLIANT, Auteur ; M. R. MAILICK, Auteur Article en page(s) : p.1120-1128 Langues : Anglais (eng) Mots-clés : aging  health  machine learning  mortality  older adult Index. décimale : PER Périodiques Résumé : Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a machine learning algorithm to characterize diagnostic patterns in decedents with ASD and matched decedent community controls. Participants were 91 decedents with ASD and 6,186 sex and birth year matched decedent community controls who had died since 1979, the majority of whom were middle aged or older adults at the time of their death. We analyzed all ICD-9 codes, V-codes, and E-codes available in the electronic health record and Elixhauser comorbidity categories associated with those codes. Diagnostic patterns distinguished decedents with ASD from decedent community controls with 75% sensitivity and 94% specificity solely based on their lifetime ICD-9 codes, V-codes, and E-codes. Decedents with ASD had higher rates of most conditions, including cardiovascular disease, motor problems, ear problems, urinary problems, digestive problems, side effects from long-term medication use, and nonspecific lab tests and encounters. In contrast, decedents with ASD had lower rates of cancer. Findings suggest distinctive lifetime diagnostic patterns among decedents with ASD and highlight the need for more research on health outcomes across the lifespan as the population of individuals with ASD ages. As a large wave of individuals with ASD diagnosed in the 1990s enters adulthood and middle age, knowledge about lifetime health problems will become increasingly important for care and prevention efforts. Autism Res 2018, 11: 1120-1128. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study looked at patterns of lifetime health problems to find differences between people with autism who had died and community controls who had died. People with autism had higher rates of most health problems, including cardiovascular, urinary, respiratory, digestive, and motor problems, in their electronic health records. They also had lower rates of cancer. More research is needed to understand these potential health risks as a large number of individuals with autism enter adulthood and middle age. En ligne : http://dx.doi.org/10.1002/aur.1960 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder [Texte imprimé et/ou numérique] / Lauren BISHOP-FITZPATRICK, Auteur ; A. MOVAGHAR, Auteur ; J. S. GREENBERG, Auteur ; D. PAGE, Auteur ; Leann S. DAWALT, Auteur ; M. H. BRILLIANT, Auteur ; M. R. MAILICK, Auteur . - p.1120-1128. Langues : Anglais (eng) in Autism Research > 11-8 (August 2018) . - p.1120-1128 Mots-clés : aging  health  machine learning  mortality  older adult Index. décimale : PER Périodiques Résumé : Very little is known about the health problems experienced by individuals with autism spectrum disorder (ASD) throughout their life course. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a machine learning algorithm to characterize diagnostic patterns in decedents with ASD and matched decedent community controls. Participants were 91 decedents with ASD and 6,186 sex and birth year matched decedent community controls who had died since 1979, the majority of whom were middle aged or older adults at the time of their death. We analyzed all ICD-9 codes, V-codes, and E-codes available in the electronic health record and Elixhauser comorbidity categories associated with those codes. Diagnostic patterns distinguished decedents with ASD from decedent community controls with 75% sensitivity and 94% specificity solely based on their lifetime ICD-9 codes, V-codes, and E-codes. Decedents with ASD had higher rates of most conditions, including cardiovascular disease, motor problems, ear problems, urinary problems, digestive problems, side effects from long-term medication use, and nonspecific lab tests and encounters. In contrast, decedents with ASD had lower rates of cancer. Findings suggest distinctive lifetime diagnostic patterns among decedents with ASD and highlight the need for more research on health outcomes across the lifespan as the population of individuals with ASD ages. As a large wave of individuals with ASD diagnosed in the 1990s enters adulthood and middle age, knowledge about lifetime health problems will become increasingly important for care and prevention efforts. Autism Res 2018, 11: 1120-1128. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: This study looked at patterns of lifetime health problems to find differences between people with autism who had died and community controls who had died. People with autism had higher rates of most health problems, including cardiovascular, urinary, respiratory, digestive, and motor problems, in their electronic health records. They also had lower rates of cancer. More research is needed to understand these potential health risks as a large number of individuals with autism enter adulthood and middle age. En ligne : http://dx.doi.org/10.1002/aur.1960 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

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