Each year, one-fourth of the 200,000 individuals with spinal cord injury in the United States develop pressure ulcers. No method currently exists, however, to accurately identify which of these individuals are at increased risk for development of pressure ulcers. We studied 219 spinal cord-injured patients, seen at a Veterans Affairs Medical Center, during a 6-yr period. Our goal was to develop a pressure ulcer risk assessment scale, specifically for persons with SCI. Each risk factor had to meet four criteria: (1) statistical association with pressure ulcer development; (2) biologically plausible mechanism; (3) literature support; (4) improved prediction. Among the 219 spinal cord-injured patients evaluated, 176 (80.4 percent) had a history of one or more pressure ulcers. Fifteen risk factors met the four criteria for inclusion into the risk assessment scale. They were as follows: restricted activity level, degree of immobility, complete spinal cord injury, urinary disease, impaired cognitive function, diabetes, cigarette smoking, residence in a nursing home or hospital, hypoalbuminemia, and anemia. Compared with the more general scales available, for quantifying the risk of pressure ulcer development, preliminary results suggest that this new scale is a significant improvement for the spinal cord-disabled.

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Nutritional indices (percentage ideal body weight [IBW], serum albumin, serum transferrin, total lymphocyte count [TLC] and delayed cutaneous hypersensitivity [DH] response) were assessed in 80 consecutive patients (aged 85-100 y) within 24 h of admission to determine their predictive value for mortality. Nine patients died. Pearson correlation analysis demonstrated that death was significantly (p less than 0.05 to less than 0.01) associated with sepsis, serum albumin less than 30 g/L, TLC less than or equal to 1500 cells/mm3, and percentage IBW less than or equal to 90%. However, when serum albumin was controlled for, logit regression analyses demonstrated that the impact of other nutritional indices on death was insignificant. The effect of serum albumin remained significant (p less than 0.05 to less than 0.01) even when age and physician's diagnosis were held constant. With the logit model, serum albumin greater than or equal to 30 g/L had a sensitivity of 0.33, specificity of 0.99, and overall predictive power of 0.91. Serum albumin is thus the simplest and best single predictor of mortality and can provide early identification of elderly people at increased risk of death.

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New TRISS and ASCOT coefficients should be derived if survival for patients with blunt injuries is to be predicted accurately in independent trauma registries. Also, it may be wise to consider developing separate models for subgroups of patients, particularly if hospitals in the registry have different mixes of patient types.