{"id":22818,"date":"2025-11-18T11:50:36","date_gmt":"2025-11-18T16:50:36","guid":{"rendered":"https:\/\/www.ices.on.ca\/?post_type=journal_article&#038;p=22818"},"modified":"2025-11-19T11:51:13","modified_gmt":"2025-11-19T16:51:13","slug":"machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease\/","title":{"rendered":"Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease"},"content":{"rendered":"<p><strong>Background<\/strong> \u2014 Multimorbidity is the co-occurrence of two or more chronic conditions in one person. Providing quality, patient-centered care requires understanding multimorbidity. Our objective was to identify patterns of multimorbidity that occur prior to death among people with inflammatory bowel disease (IBD).<\/p>\n<p><strong>Methods<\/strong> \u2014 Using a retrospective population-based matched cohort derived from linked health administrative data of individuals with and without IBD who died between 2010 and 2020 in Ontario, Canada, we compared multimorbidity accumulation and leveraged unsupervised machine learning to identify multimorbidity clusters.<\/p>\n<p><strong>Results<\/strong> \u2014 Here we show decedents with IBD have a greater prevalence of complex multimorbidity (42% vs 34% with 8+ conditions, standardized difference: 22%). Among those with IBD at death, IBD is commonly developed as their first condition. At death, people with IBD have high prevalences of osteo- and other arthritis (77%), hypertension (73%), mood disorders (69%), renal failure (50%) and cancer (46%). Among those with IBD, we identify 3 clusters: (\u03b1) mood disorder and\/or osteo- and other arthritis; (\u03b2) cancer and low multimorbidity; (<span id=\"MathJax-Element-3-Frame\" class=\"mjx-chtml MathJax_CHTML\" tabindex=\"0\" role=\"presentation\" data-mathml=\"&lt;math xmlns=&quot;http:\/\/www.w3.org\/1998\/Math\/MathML&quot;&gt;&lt;mi&gt;&amp;#x3B3;&lt;\/mi&gt;&lt;\/math&gt;\"><span id=\"MJXc-Node-7\" class=\"mjx-math\" aria-hidden=\"true\"><span id=\"MJXc-Node-8\" class=\"mjx-mrow\"><span id=\"MJXc-Node-9\" class=\"mjx-mi\"><span class=\"mjx-char MJXc-TeX-math-I\">\u03b3<\/span><\/span><\/span><\/span><\/span>) cardiovascular comorbidities. The clusters that we identify are stable across numerous validation techniques, including re-derivation and sex-specific clustering.<\/p>\n<p><strong>Conclusions<\/strong> \u2014 These findings can inform future research and potential multimorbidity care in populations with IBD. Consideration of these clusters also lends to the need for further research, guidelines, and care programs to manage distinct subgroups of comorbidities among those with IBD, highlighting avenues for greater personalized care.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background \u2014 Multimorbidity is the co-occurrence of two or more chronic conditions in one person. Providing quality, patient-centered care requires understanding multimorbidity. Our objective was to identify patterns of multimorbidity that occur prior to death among people with inflammatory bowel disease (IBD). Methods \u2014 Using a retrospective population-based matched cohort derived from linked health administrative [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[59,48],"migration-helper-qa-sample-set":[],"class_list":["post-22818","journal_article","type-journal_article","status-publish","hentry","topic-data-science","topic-gastroenterology"],"acf":{"citation":"Postill G, Harish V, Itanyi IU, Tang F, Buajitti E, Kuenzig ME, Rosella LC, Benchimol EI. <em>Commun Med (Lond)<\/em>. 2025; 5(1):476.","source_url":"https:\/\/doi.org\/10.1038\/s43856-025-01191-0","ices_scientist":[21974,1339,1174],"site":[6735],"research_program":[6740],"news_release":"","journal_article":"","atlas":"","research_report":"","infographic":"","video":"","downloads":null,"links":null,"sitecore_item_id":"","sitecore_item_name":"","sitecore_field_values":"","previous_url":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease<\/title>\n<meta name=\"description\" content=\"Background \u2014 Multimorbidity is the co-occurrence of two or more chronic conditions in one person. Providing quality, patient-centered care requires\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ICES | Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease\" \/>\n<meta property=\"og:description\" content=\"Background \u2014 Multimorbidity is the co-occurrence of two or more chronic conditions in one person. Providing quality, patient-centered care requires\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease\/\" \/>\n<meta property=\"og:site_name\" content=\"ICES\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/ICESOntario\/\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-19T16:51:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ices.on.ca\/wp-content\/uploads\/2024\/11\/ic-es-data-discovery-better-health-logo.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.ices.on.ca\\\/fr\\\/publications\\\/journal-articles\\\/machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease\\\/\",\"url\":\"https:\\\/\\\/www.ices.on.ca\\\/fr\\\/publications\\\/journal-articles\\\/machine-learning-identifies-clusters-of-multimorbidity-among-decedents-with-inflammatory-bowel-disease\\\/\",\"name\":\"ICES | Machine learning identifies clusters of multimorbidity among decedents with inflammatory bowel disease\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.ices.on.ca\\\/fr\\\/#website\"},\"datePublished\":\"2025-11-18T16:50:36+00:00\",\"dateModified\":\"2025-11-19T16:51:13+00:00\",\"description\":\"Background \u2014 Multimorbidity is the co-occurrence of two or more chronic conditions in one person. 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