This document discusses using registry data from 6.2 million Danish individuals and 66 million hospital admissions to complement patient medical records by providing additional information on comorbidities. The registry data contains 119 million diagnoses that can be analyzed using statistical tests like Fisher's exact test and relative risk to better understand relationships between comorbidities and factors like gender, age, and obesity while accounting for potential confounding issues and reporting biases.

1. Complementing patient records with registry data on cormormidity Lars Juhl Jensen

2. national discharge registry

3. 6.2 million individuals

4. 66 million admissions

5. 119 million diagnoses

6. Fisher’s exact test

7. relative risk

8. directionality

9. gender

10. age

11. comorbidity matrix

13. confounding factors

14. obesity

15. smoking

16. trivial comorbidities

17. dagger and asterix

18. cause and effect

19. within same admission

20. within same chapter

21. duplets due to hierarchy

22. special codes

23. symptoms

24. injuries

25. birth

26. reporting bias

27. embedded/impacted tooth

28. neoplasms in oral cavity

29. interesting comorbidities

30. circulatory diseases

31. coagulation deficiency

33. ischemic heart disease

34. diabetes and more

36. predict future diseases