Table 6. Most important variables for transition probabilities.

Top five significant (1%) variables with the largest discriminative power across different next diagnosis endpoints as measured by the absolute size of the coefficients in the logistic regression models. The variables are presented by the coefficient sign, where a positive (negative) coefficient corresponds to an increased (decreased) probability of the outcome relative to the other possible outcomes. A colon gives coefficients related to the presence of two simultaneous diseases (Disease 1:Disease 2).

Outcome	Negative effect	Positive effect
Stroke	Female Sex	Missing Education, Dementia, Hypertension, COPD:Schizophrenia interaction
Hypertension		High cholesterol:Diabetes, Dementia:Schizophrenia Back pain:Dementia, Joint disease:Back pain, Stroke:Dementia
High Cholesterol	Dementia, Osteoporosis, Female Sex, Schizophrenia	Missing Education
Allergies		Student Occupation, Stroke:Dementia, Hypertension, Long Education High cholesterol
Joint Disease	Dementia, Schizophrenia	Hypertension, Osteoarthritis, Stroke:Dementia
Osteoporosis		Female Sex, Dementia, COPD, Depression, Cancer
Osteoarthritis	Dementia	High cholesterol, Back pain Joint disease, High cholesterol:Diabetes
Back Pain	Dementia	Osteoarthritis, Osteoporosis High cholesterol, Cancer
Cancer	Dementia, Female Sex, Schizophrenia	Dementia:Schizophrenia, Stroke:Dementia
COPD	Long Education	Stroke:Dementia, Missing Education, High cholesterol:Diabetes, Hypertension
Dementia	Schizophrenia:Depression	Schizophrenia, Missing Education, Depression, Stroke
Schizophrenia	Unemployed Occupation	Dementia, Missing Occupation, Depression, Osteoporosis
Depression		Student Occupation, Stroke, Back pain Female Sex, Osteoporosis
Diabetes	Female Sex, Osteoporosis	Hypertension, High cholesterol, Stroke:Dementia