@article{fe44b37f3866434dac74623b94a98b3a,
title = "A Temporal Examination of Platelet Counts as a Predictor of Prognosis in Lung, Prostate, and Colon Cancer Patients",
abstract = "Platelets, components of hemostasis, when present in excess (>400 K/μL, thrombocytosis) have also been associated with worse outcomes in lung, ovarian, breast, renal, and colorectal cancer patients. Associations between thrombocytosis and cancer outcomes have been made mostly from single-time-point studies, often at the time of diagnosis. Using laboratory data from the Department of Veterans Affairs (VA), we examined the potential benefits of using longitudinal platelet counts in improving patient prognosis predictions. Ten features (summary statistics and engineered features) were derived to describe the platelet counts of 10,000+ VA lung, prostate, and colon cancer patients and incorporated into an age-adjusted LASSO regression analysis to determine feature importance, and predict overall or relapse-free survival, which was compared to the previously used approach of monitoring for thrombocytosis near diagnosis (Postdiag AG400 model). Temporal features describing acute platelet count increases/decreases were found to be important in cancer survival and relapse-survival that helped stratify good and bad outcomes of cancer patient groups. Predictions of overall and relapse-free survival were improved by up to 30% compared to the Postdiag AG400 model. Our study indicates the association of temporally derived platelet count features with a patients' prognosis predictions.",
author = "Sylman, {Joanna L.} and Boyce, {Hunter B.} and Annachiara Mitrugno and Tormoen, {Garth W.} and Thomas, {I. Chun} and Wagner, {Todd H.} and Lee, {Jennifer S.} and Leppert, {John T.} and McCarty, {Owen J.T.} and Parag Mallick",
note = "Funding Information: This work was funded under the Big Data-Scientist Training Enhancement Program (BD-STEP) fellowship to JLS, which is a collaboration between the VA Employee Education System, the VA Office of Academic Affiliations, the VA Office of Research and Development, and the National Cancer Institute{\textquoteright}s Center for Strategic Scientific Initiatives. This material is based upon work supported (or supported in part) by the Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development, Health Services Research and Development. Additionally, this study is funded by the National Institutes of Health (R01HL101972 to O.J.T.M.) and by the OHSU/OSU Cancer Prevention and Control Initiative. O.J.T. McCarty is an American Heart Association Established Investigator (13EIA12630000). This work is partially supported by DARPA Deep Purple Program (program manager Dr. James Gimlett) through DOI contract D17AC00006. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States Government. Publisher Copyright: {\textcopyright} 2018 The Author(s).",
year = "2018",
month = dec,
day = "1",
doi = "10.1038/s41598-018-25019-1",
language = "English (US)",
volume = "8",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}