{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:53:44Z","timestamp":1760028824427},"reference-count":25,"publisher":"Georg Thieme Verlag KG","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Methods Inf Med"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Objective: To compare general and disease-based modeling for fluid resuscitation and vasopressor use in intensive care units.<\/jats:p><jats:p>Methods: Retrospective cohort study in -volving 2944 adult medical and surgical intensive care unit (ICU) patients receiving fluid resuscitation. Within this cohort there were two disease-based groups, 802 patients with a diagnosis of pneumonia, and 143 patients with a diagnosis of pancreatitis. Fluid resuscitation either progressing to subsequent vasopressor administration or not was used as the primary outcome variable to compare general and disease-based modeling.<\/jats:p><jats:p>Results: Patients with pancreatitis, pneumonia and the general group all shared three common predictive features as core variables, arterial base excess, lactic acid and platelets. Patients with pneumonia also had non-invasive systolic blood pressure and white blood cells added to the core model, and pancreatitis patients additionally had temperature. Disease-based models had significantly higher values of AUC (p &lt; 0.05) than the general group (0.82 f\u00b1 0.02 for pneumonia and 0.83 \u00b1 0.03 for pancreatitis vs. 0.79 \u00b1 0.02 for general patients).<\/jats:p><jats:p>Conclusions: Disease-based predictive mod -eling reveals a different set of predictive variables compared to general modeling and improved performance. Our findings add support to the growing body of evidence advantaging disease specific predictive modeling.<\/jats:p>","DOI":"10.3414\/me12-01-0093","type":"journal-article","created":{"date-parts":[[2013,8,28]],"date-time":"2013-08-28T09:49:32Z","timestamp":1377683372000},"page":"494-502","source":"Crossref","is-referenced-by-count":19,"title":["Disease-based Modeling to Predict Fluid Response in Intensive Care Units"],"prefix":"10.3414","volume":"52","author":[{"given":"L. A.","family":"Celi","sequence":"first","affiliation":[]},{"given":"F.","family":"Cismondi","sequence":"first","affiliation":[]},{"given":"S. M.","family":"Vieira","sequence":"first","affiliation":[]},{"given":"S. R.","family":"Reti","sequence":"first","affiliation":[]},{"given":"J. M. C.","family":"Sousa","sequence":"first","affiliation":[]},{"given":"S. N.","family":"Finkelstein","sequence":"first","affiliation":[]},{"given":"A. 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