{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T07:01:43Z","timestamp":1789542103968,"version":"build-2803163510"},"reference-count":55,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2015,8,20]],"date-time":"2015-08-20T00:00:00Z","timestamp":1440028800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biopharm &amp; Drug Disp"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>There is an ongoing debate on the use of a single concentration time point C2 for therapeutic drug monitoring (TDM) and exposure prediction for cyclosporine. The objective of the present work was to evaluate the relationship between the peak concentration (<jats:italic>C<\/jats:italic><jats:sub>max<\/jats:sub>) versus area under the curve (<jats:italic>AUC<\/jats:italic>) for cyclosporine. Using published data from renal transplant patients from an 8\u201312 week study with two formulations, a simple linear regression model represented by<jats:italic>AUC<\/jats:italic>\u2009\u2212\u2009<jats:italic>cyclosporine<\/jats:italic>\u00a0=\u2009<jats:italic>Cmax<\/jats:italic>\u2009\u2212\u2009<jats:italic>Cyclosporine<\/jats:italic>\u00a0\u00d7\u00a03.9965\u00a0+\u2009384.5 (<jats:italic>r<\/jats:italic>= 0.9647;<jats:italic>p<\/jats:italic>&lt; 0.001) was developed. Using the regression equation, predictions of<jats:italic>AUC<\/jats:italic>from the reported<jats:italic>C<\/jats:italic><jats:sub>max<\/jats:sub>data were performed; the fold difference between observed vs predicted<jats:italic>AUC<\/jats:italic>was computed and the root mean square error for the prediction was calculated. While all but one of the predicted<jats:italic>AUC<\/jats:italic>s were contained within a 0.5\u20132\u2010fold difference (99.1%), a greater proportion of the<jats:italic>AUC<\/jats:italic>values were predicted within a narrower range of 0.75 to 1.5\u2010fold difference (78.2%), suggesting the utility of<jats:italic>C<\/jats:italic><jats:sub>max<\/jats:sub>as the right surrogate for predicting the<jats:italic>AUC<\/jats:italic>for cyclosporine with a correlation coefficient of 0.8698 (<jats:italic>n<\/jats:italic>= 126;<jats:italic>p<\/jats:italic>&lt; 0.001) and a RMSE of 26.2%. Since the time to<jats:italic>C<\/jats:italic><jats:sub>max<\/jats:sub>generally varies from 1 to 2 h, although the results validate the use of C2, there may be an opportunity to explore the suitability of C1 or C1.5 in a prospective study for the purpose of TDM and<jats:italic>AUC<\/jats:italic>prediction of cyclosporine. Copyright \u00a9 2015 John Wiley &amp; Sons, Ltd.<\/jats:p>","DOI":"10.1002\/bdd.1967","type":"journal-article","created":{"date-parts":[[2015,7,30]],"date-time":"2015-07-30T07:08:49Z","timestamp":1438240129000},"page":"575-586","source":"Crossref","is-referenced-by-count":18,"title":["Therapeutic drug monitoring of cyclosporine and area under the curve prediction using a single time point strategy: appraisal using peak concentration data"],"prefix":"10.1002","volume":"36","author":[{"given":"Nuggehally R.","family":"Srinivas","sequence":"first","affiliation":[{"name":"Suramus Bio J.P. 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