{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T10:45:48Z","timestamp":1756809948099},"reference-count":37,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2013,8,13]],"date-time":"2013-08-13T00:00:00Z","timestamp":1376352000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Journal of Clinical Pharma"],"published-print":{"date-parts":[[2013,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:label \/><jats:p>Electronic Medical Records (EMRs) are wealthy storehouses of patient information, to which data mining techniques can be prudently applied to reveal clinically significant patterns. Detecting patterns in drug\u2013drug interactions, leading to adverse drug reactions is a powerful application of EMR data mining. Adverse effects of drug treatments can be investigated by mining clinical laboratory tests data which are reliable indicators of abnormal physiological functions. We report here the co\u2010medication effects of pravastatin (HMG\u2010CoA reductase inhibitor) and paroxetine (selective serotonin reuptake inhibitor (SSRI) anti\u2010depressant) on significant clinical parameters, identified through a data mining analysis conducted on the Allscripts data warehouse. We found that the concomitant drug treatments of pravastatin and paroxetine increased the mean values of glucose serum from 113.2 to 132.1\u2009mg\/dL and international normalized ratio (INR) from 2.18 to 2.52, respectively. It also decreased the mean values of estimated glomerular filtration rate (eGFR) from 43 to 37\u2009mL\/min\/1.73\u2009m<jats:sup>3<\/jats:sup> and blood CO<jats:sub>2<\/jats:sub> levels from 24.8 to 23.9\u2009mEq\/L respectively. Our findings indicate that co\u2010medication of pravastatin and paroxetine might have significant impact on blood anti\u2010coagulation, kidney function, and glucose homeostasis. Our methodology can be applied to any EMR data set to reveal co\u2010medication effects of any drug pairs.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcph.151","type":"journal-article","created":{"date-parts":[[2013,7,30]],"date-time":"2013-07-30T13:28:59Z","timestamp":1375190939000},"page":"1212-1219","source":"Crossref","is-referenced-by-count":9,"title":["Co\u2010medication of pravastatin and paroxetine\u2014A categorical study"],"prefix":"10.1002","volume":"53","author":[{"given":"Li","family":"An","sequence":"first","affiliation":[{"name":"Allscripts Malvern PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priyadarshini P.","family":"Ravindran","sequence":"additional","affiliation":[{"name":"Allscripts Malvern PA USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swetha","family":"Renukunta","sequence":"additional","affiliation":[{"name":"Allscripts Malvern PA 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