Temporal disease trajectories condensed from population-wide registry data covering 6.2 million patients

Nature Communications

Volumn 5, Issue , 2014, Pages

  Jensen, Anders Boeck ^a,b   Moseley, Pope L ^b,c   Oprea, Tudor I ^a,c,d   Ellesøe, Sabrina Gade ^b   Eriksson, Robert ^a,b   Schmock, Henriette ^e   Jensen, Peter Bjødstrup ^b   Jensen, Lars Juhl ^b   Brunak, Søren ^a,b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF GOTHENBURG   (Sweden)

^e Mental Health Services CPH   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE; DISEASE INCIDENCE; DISEASE TREATMENT; EPIDEMIOLOGY; HEALTH SURVEY; OSTEOLOGY; PUBLIC HEALTH; RESPIRATORY DISEASE; RISK ASSESSMENT; TRAJECTORY;

ADULT; ANGINA PECTORIS; ARTICLE; ATHEROSCLEROSIS; CHRONIC OBSTRUCTIVE LUNG DISEASE; COHORT ANALYSIS; COMPARATIVE EFFECTIVENESS; CONTROLLED STUDY; DIABETES MELLITUS; DIABETIC ANGIOPATHY; DISEASE COURSE; DISEASE REGISTRY; EMERGENCY WARD; FEMALE; GOUT; HUMAN; ICD-10; ILLNESS TRAJECTORY; ISCHEMIC HEART DISEASE; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; METASTASIS; OBSTRUCTIVE UROPATHY; PNEUMONIA; PROSTATE HYPERTROPHY; RESPIRATORY FAILURE; RETROSPECTIVE STUDY; SEPTICEMIA; SEX DIFFERENCE; TEMPORAL ANALYSIS; CARDIOVASCULAR SYSTEM EXAMINATION; CEREBROVASCULAR DISORDERS; DENMARK; DIAGNOSTIC PROCEDURE; EPIDEMIOLOGY; MEDICAL INFORMATICS; PROCEDURES; PROSTATIC NEOPLASMS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REGISTER; STATISTICS AND NUMERICAL DATA;

DENMARK;

CEREBROVASCULAR DISORDERS; COHORT STUDIES; DENMARK; DIABETES MELLITUS; DIAGNOSTIC TECHNIQUES AND PROCEDURES; DIAGNOSTIC TECHNIQUES, CARDIOVASCULAR; DISEASE PROGRESSION; HUMANS; MALE; MEDICAL INFORMATICS; PROSTATIC NEOPLASMS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REGISTRIES; RETROSPECTIVE STUDIES;

EID: 84903473624     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms5022     Document Type: Article

References (23)

1. Camilo, O. & Goldstein, L. B. Seizures and epilepsy after ischemic stroke. Stroke 35, 1769-1775 (2004). (Pubitemid 38823662)
2. Finkelstein, J., Cha, E. & Scharf, S. M. Chronic obstructive pulmonary disease as an independent risk factor for cardiovascular morbidity. Int. J. COPD 4, 337-349 (2009).
3. Teno, J. M., Weitzen, S., Fenell, M. L. & Mor, V. Dying trajectory in the last year of life: does cancer trajectory fit other diseases? J. Palliat. Med. 4, 457-464 (2001). (Pubitemid 34027657)
4. Murtagh, F. E. M., Murphy, E. & Sheerin, N. S. Illness trajectories: an important concept in the management of kidney failure. Nephrol. Dialysis Transplant 23, 3746-3748 (2008).
5. Murtagh, F. E. M., Sheerin, N. S., Addington-Hall, J. & Higginson, I. J. Trajectories of illness in stage 5 chronic kidney disease: a longitudinal study of patient symptoms and concerns in the last year of life. Clin. J. Am. Soc. Nephrol. 6, 1580-1590 (2011).
6. Murray, S. A., Kendall, M., Boyd, K. & Sheikh, A. Illness trajectories and palliative care. BMJ 330, 1007-1011 (2005). (Pubitemid 40604286)
7. Petri, H., Maldonato, D. & Robinson, N. J. Data-driven identification of co-morbidities associated with rheumatoid arthritis in a large US health plan claims database. BMC Musculoskelet. Disord. 11, 247 (2010).
8. Blair, D. R. et al. A nondegenerate code of deleterious variants in Mendelian loci contributes to complex disease risk. Cell 155, 70-80 (2013).
9. Hidalgo, C. A., Blumm, N., Barabási, A.-L. & Christakis, N. A. A dynamic network approach for the study of human phenotypes. PLoS Comput. Biol. 5, e1000353 (2009).
10. Chen, L. L., Blumm, N., Christakis, N. A., Barabási, A.-L. & Deisboeck, T. S. Cancer metastasis networks and the prediction of progression patterns. Br. J. Cancer 101, 749-758 (2009).
11. Tanushi, H., Dalianis, H. & Nilsson, G. H. Calculating Prevalence of Comorbidity and Comorbidity Combinations with Diabetes in Hospital Care in Sweden Using a Health Care Record Database. In: Proceedings of LOUHI 2011 Third International Workshop on Health Document Text Mining and Information Analysis 59-65 (Bled, Slovenia, 2011).
12. Curkendall, S. M. et al. Cardiovascular disease in patients with chronic obstructive pulmonary disease, Saskatchewan Canada cardiovascular disease in COPD patients. Ann. Epidemiol. 16, 63-70 (2006). (Pubitemid 41783891)
13. Sidney, S. et al. COPD and incident cardiovascular disease hospitalizations and mortality: Kaiser Permanente Medical Care Program. Chest 128, 2068-2075 (2005). (Pubitemid 41507542)
14. Salisbury, A. C., Reid, K. J. & Spertus, J. A. Impact of chronic obstructive pulmonary disease on post-myocardial infarction outcomes. Am. J. Cardiol. 99, 636-641 (2007).
15. Suissa, S., Dell'Aniello, S. & Ernst, P. Long-term natural history of chronic obstructive pulmonary disease: severe exacerbations and mortality. Thorax 67, 957-963 (2012).
16. Moss, S. E., Klein, R., Klein, B. E. K. & Wong, T. Y. Retinal vascular changes and 20-year incidence of lower extremity amputations in a cohort with diabetes. Arch. Intern. Med. 163, 2505-2510 (2003). (Pubitemid 37385794)
17. Kohner, E. M. Diabetic retinopathy. Br. Med. Bull. 45, 148-173 (1989). (Pubitemid 19035000)
18. Freedman, D. S., Williamson, D. F., Gunter, E. W. & Byers, T. Relation of serum uric acid to mortality and ischemic heart disease: the NHANES I Epidemiologic Follow-up Study. Am. J. Epidemiol. 141, 637-644 (1995).
19. Kelkar, A., Kuo, A. & Frishman, W. H. Allopurinol as a cardiovascular drug. Cardiol. Rev. 19, 265-271 (2011).
20. Yang, Q. et al. Multiple genetic loci influence serum urate and their relationship with gout and cardiovascular disease risk factors. Circ. Cardiovasc. Genet. 3, 523-530 (2010).
21. Farr, B. M., Bartlett, C. L., Wadsworth, J. & Miller, D. L. Risk factors for community-acquired pneumonia diagnosed upon hospital admission. British Thoracic Society Pneumonia Study Group. Respir. Med. 94, 954-963 (2000).
22. Ingebrigtsen, T. S. et al. Characteristics of undertreatment in COPD in the general population. Chest 144, 1811-1818 (2013).
23. van Dongen, S. Graph clustering by flow simulation. PhD thesis (Univ. Utrecht, 2000).