Time series analysis of the clinical laboratory test result on chemotherapy for gastric cancer.
OBJECTIVE
Time series analysis may be helpful to estimate hematological data on gastric cancer patients who receive S 1, but untreated raw clinical data are not suitable for this approach. Hematological monitoring data interpolated by spline were analyzed by an attractor plot, which is a form of time series analysis.


METHODS
Hematological data of three gastric cancer patients were interpolated by cubic spline. The leave-one-out cross validation method was carried out and an attractor plot was adopted to evaluate red blood count (RBC) data.


RESULTS
Well-predicted data, such as RBC, changed slightly; however, data with great deviation, such as the white blood count (WBC), were poorly predicted. The reaction of marrow function to chemotherapy was observable by spline interpolation of RBC data. Furthermore, an attractor plot clarified the tendency of the interpolated hematological monitoring data.


CONCLUSIONS
It is suggested that spline interpolation is effective as a pretreatment to analyze clinical data from a time series.
Sotoishi
Noboru
N
Department of Pharmacy, Tokyo Woman's Medical University East Medical Center, Nishiogu 2-1-10, Arakawa, Tokyo' 116-8567, Japan. sotoph@dnh.twmu.ac.jp
Katsube
Takao
T
Ogawa
Kenji
K
Yakou
Shigeru
S
Takayama
Kozo
K
D000368:Aged; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use*; D016022:Case-Control Studies; D004912:Erythrocytes / Q000473:pathology*; D006801:Humans; D008297:Male; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D013223:Statistics as Topic; D013274:Stomach Neoplasms / Q000097:blood / Q000188:drug therapy* / Q000473:pathology; D013997:Time Factors