Page 57 - Predicting survival in patients with spinal bone metastasesL

Table 1. Population characteristics. SD: standard deviation.
Gender Male
Female
Age (mean, years ± SD)
Clinical profile Favorable Moderate Unfavorable
Location treated spinal metastases Cervical only
Cervicothoracic
Thoracic only
Thoracolumbar Lumbar only Diffuse
Number spinal metastases One
Two
Three or more
Number extraspinal bone metastases
None
One or two Three or more
Visceral metastases Present
Not present
Brain metastases Present
Not present
Karnofsky performance status Normal (100-80%) Impaired (70-10%)
Missing
Frankel classification
No deficit (E)
Minor motor or sensory deficit (D) Major motor or sensory deficit (A, B, C) Missing
542 (52) 501 (48)
64.8 ± 12.5
312 (30) 296 (28) 435 (42)
40 (4) 121 (12) 256 (24) 275 (27) 309 (30) 42 (3)
326 (31) 191 (19) 526 (50)
370 (35) 287 (28) 386 (37)
380 (36) 663 (64)
71 (7) 972 (93)
387 (37) 607 (58) 49 (5)
518 (50) 403 (39) 112 (10) 10 (1)
IV
PREDICTIVE MODEL
Characteristic
N (%)
The most prevalent primary tumors were breast cancer (n=299), lung cancer (n=255), prostate cancer (n=215), kidney cancer (n=60) and colon cancer (n=55) (table 2).
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