The Cox Regression Analysis Of The Metastatic Spinal Tumors Prognosis Factor

Objective: Discusses the metastatic spinal tumors patient prognosis factor, the estimate life, the instruction clinical treatment. Methods: In January, 2004 ~ in June, 2006 admits to my hospital and has made follow-up visit the material 99 cases different malignant tumor to have case of illness which the spinal column metastatic, Carries on Tomita and the Tokuhashi grading each patient, and the above two grading and the sex, the age, the KPS grading, the primary tumor nature, the internal organs shift situation, the bone shift situation and so on other clinical targets takes the prognosis factor, carries on the single factor and the multi-factor Cox regression analysis, the screening prognosis factor. Results: The single factor analysis result showed Tomita grades(P=0.008), Tokuhashi grades(P=0.027), primary tumor nature(P=0.000)as well as KPS grades(P=0.005) influence lifetime, the difference has statistics significance. After the multi-factors Cox regression analysis result indicated only has KPS grades(P=0.012),primary tumor natur(eP=0.000) affects the patient prognosis. Conclusion: KPS grades, primary tumor nature may do after the metastatic spinal tumors patient's prognosis factor, after and the passable regression model had appraised prognosis, finally instructs the clinical treatment.