To establish a predictive model of the degree of disability in adults with spinal cord injury from Medellin (Colombia) based on the use of the WHO-DAS II. Methods: The degree of disability (by areas and global) was correlated with sociodemographic and clinical variables and related to access to rehabilitation services and a multiple linear regression model was constructed for global disability. Forty-nine people with spinal cord injury of various etiology, neurological level and completeness participated, over 18 years of age with more than six months of evolution. The user manual of the Spanish version of the WHODASII and the application standards of the ASIA Deficiency Scale were used. Results: No socio-demographic variable showed a significant relationship with global disability. Of the clinical variables, a significant relationship was evidenced with all except etiology, partial preservation zone and the degree of ASIA functional compromise. The complications that were significantly associated with global disability were painful shoulder, intestinal problems, autonomic dysreflexia, depression, psychological stress, spasticity, muscle contractures, heterotopic ossification, pressure ulcers, chronic pain, and urinary infections, with the subgroup presenting greater global disability than suffered the complication. None of the variables associated with rehabilitation services showed a significant association with global disability. Regarding rehabilitation services, the only ones that showed a significant difference between the group that received them and the group that did not, in relation to global disability, were respiratory therapy and social support, with the subgroup that had access to the former having less overall disability and the one who did not have access to the second. Conclusion: Finally, the predictive model of global disability in adults with spinal cord injury residing in Medellin with more than six months of evolution, was constituted with the variables age of occurrence (years), time of evolution of the injury (months), index motor (ASIA) and number of clinical complications in the last year.