{"id":16389,"date":"2021-05-06T17:58:52","date_gmt":"2021-05-06T15:58:52","guid":{"rendered":"https:\/\/www.cirff.it\/?p=16389"},"modified":"2024-02-07T11:19:58","modified_gmt":"2024-02-07T10:19:58","slug":"complexity-and-drug-utilization-profiles-of-covid-19-patients-as-predictors-of-infection","status":"publish","type":"post","link":"https:\/\/www.cirff.it\/?p=16389&lang=en","title":{"rendered":"Complexity and drug utilization profiles of COVID-19 patients as predictors of infection"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"16389\" class=\"elementor elementor-16389\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-362a7ef7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"362a7ef7\" data-element_type=\"section\" data-settings=\"{&quot;ekit_has_onepagescroll_dot&quot;:&quot;yes&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-34e2a4d5\" data-id=\"34e2a4d5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-570d1e1b elementor-widget elementor-widget-text-editor\" data-id=\"570d1e1b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p><!-- wp:paragraph --><\/p>\n<p>The recent and unexpected outbreak of the <strong>COVID-19<\/strong> pandemic has found <strong>healthcare systems<\/strong> unprepared to deal with it, leading to their collapse.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Specifically, the more severe prognoses found in COVID-19-positive patients were mostly associated with the <strong>patient&#8217;s frailty and complexity in terms of prior or ongoing disease, number of comorbidities, and polypharmacy regimens<\/strong>. Therefore, <strong>clustering patients<\/strong> into risk profiles represents an important preventive measure to identify the most frail population and to facilitate the adoption of appropriate preventive and therapeutic measures.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>In this context, since the first pandemic wave, the Center has focused part of its research activity on SARS-CoV-2, investigating the <strong>pharmacological and clinical history of COVID-19 patients in the Campania Region<\/strong>.<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p>Within the project, the Center has:<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:list --><\/p>\n<ul>\n<li>Supported the Directorate General for Health Protection and, in particular, the Task Force, during the first pandemic wave, through: <strong>the creation of a web application for geo-referencing data<\/strong> with the possibility of viewing the chronological evolution of COVID-positive cases stratified by single municipality; evaluation of the impact of health policies implemented by the Campania Region;<\/li>\n<li>Conducted retrospective observational <strong>analysis aimed at evaluating the Drug Utilization profiles of the COVID-19<\/strong> cohort in terms of the prevalence of use, to identifying the treatment profiles of the COVID-19 cohort as a proxy for the complexity of subjects pre-infected with the virus;<\/li>\n<li>Created, developed and validated in collaboration with the HealthCare Research center and Pharmacoepidemiology \u2013 Department of Statistics at University Milano-Bicocca, <strong>a predictive algorithm that through a prognostic score (SARS CoV2 Infection Score \u2013 SIS) is able to identify the patients most at risk of contracting COVID-19 infection<\/strong>. In particular, results have been obtained showing that as the value of the score, representative of the complexity and fragility of the patient, increases, the risk of viral infection increases;<\/li>\n<li><strong>Partecipated in the <em>Alert CoV <\/em>program<\/strong> whose promoters are the National Institute of Statistics (ISTAT), Istituto Superiore di Sanit\u00e0 (ISS) and the Center for Healthcare Research &amp; Pharmacoepidemiology. The priority focus of this program is to develop an epidemiological ALERT model for the early identification of epidemic outbreaks;<\/li>\n<li><strong>Actively collaborating with the research group Epichron from the Aragon Health Search Institute (IIS Aragon) in Zaragoza (Spain)<\/strong> to compare two different European regions severely affected by the SARS-CoV-2 epidemic and detecting possible congruencies and discrepancies between the drug utilization profiles of the two COVID-19 populations.<\/li>\n<\/ul>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p><strong>Available results<\/strong>:<\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<ul>\n<li><a href=\"https:\/\/www.researchsquare.com\/article\/rs-31829\/v1\"><strong>Drug-utilisation Profiles and COVID-19: Retrospective Cohort Study in Italy.<\/strong> <em>Researchsquare<\/em><\/a>\n<\/li>\n<li><a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0237202\"><strong>Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data: A population-based cohort study from Italy.<\/strong><em> Plosone<\/em><\/a>\n<\/li>\n<li><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC7400393\/\"><strong>Baseline Chronic Comorbidity and Mortality in Laboratory-Confirmed COVID-19 Cases: Results from the PRECOVID Study in Spain.<\/strong> <em>International Journal of Environmental Research and Public Health<\/em> <\/a>\n<\/li>\n<li><a href=\"https:\/\/www.europeanreview.org\/wp\/wp-content\/uploads\/5183-5185.pdf\"><strong>Editorial \u2013 COVID-19, more than a viral pneumonia. <\/strong><em>European Review for Medical and Pharmacological Sciences<\/em> <\/a><\/li>\n<\/ul>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph {\"style\":{\"typography\":{\"fontSize\":15}}} --><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph --><\/p>\n<p><!-- \/wp:paragraph --><\/p>\n<p><!-- wp:paragraph {\"style\":{\"typography\":{\"fontSize\":15}}} --><\/p>\n<p><!-- \/wp:paragraph --><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The recent and unexpected outbreak of the COVID-19 pandemic has found healthcare systems unprepared to deal with it, leading to their collapse. Specifically, the more severe prognoses found in COVID-19-positive patients were mostly associated with the patient&#8217;s frailty and complexity in terms of prior or ongoing disease, number of comorbidities, and polypharmacy regimens. Therefore, clustering [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[72],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.9.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Complexity and drug utilization profiles of COVID-19 patients as predictors of infection - CIRFF<\/title>\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.cirff.it\/?p=16389&#038;lang=en\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Complexity and drug utilization profiles of COVID-19 patients as predictors of infection - CIRFF\" \/>\n<meta property=\"og:description\" content=\"The recent and unexpected outbreak of the COVID-19 pandemic has found healthcare systems unprepared to deal with it, leading to their collapse. Specifically, the more severe prognoses found in COVID-19-positive patients were mostly associated with the patient&#8217;s frailty and complexity in terms of prior or ongoing disease, number of comorbidities, and polypharmacy regimens. 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