Time trends of mortality after first hip fractures
- 196 Downloads
A register-based study including 2,674 first hip fracture patients from 1987–1996 investigated if the mortality after hip fracture was associated with time trend and fracture type. Despite significantly increasing age at admission no changing time trend of mortality was observed, nor was the mortality linked to the kind of fracture suffered.
Introduction and hypothesis
A retrospective cohort study was performed to investigate if the mortality of first hip fracture patients was associated with time trend and fracture type. The hypotheses were that cumulative mortality would remain unchanged and there would be no difference in mortality between cervical and pertrochanteric patients.
Study material was obtained by record linkage of excerpts from two computerized national health registers. First hip fractures were identified indirectly by searching the files ten years before the date of admission. The period 1987–1996 saw inclusion of 2,674 patients aged 50 years and older (average follow-up 2.6 years). Statistics: Weighted regression analysis, χ 2 test, and t test.
Cumulative mortality did not change significantly (P > 0.05). Weighted average cumulative mortality was 9% (95% CI, 7.9–10.1) at 1 month, 15.5% (95% CI, 14.1–16.8) at 3 months, 26.5% (95% CI, 24.7–28.3) at 1 year, and 36.2% (95% CI, 34.1–38.3) at 2 years. Cervical and pertrochanteric first hip fracture patients did not have significantly different mortality rates (P > 0.05).
No changing time trend of mortality after first hip fracture was observed despite significantly increasing age at admission, nor was the mortality linked to the kind of fracture suffered.
KeywordsEpidemiology Excess mortality Hip fracture Mortality Registries
Grants and Acknowledgments
This study was conducted as a part of my education at the Master of Public Health Program at Aarhus University. Professor Michael Vaeth, PhD, Department of Biostatistics, University of Aarhus, was my advisor and provided statistical support. Lecturer Svend Juul, MD, Department of Epidemiology, University of Aarhus, provided technical advice on computer programming. I am grateful for their contributions.
The Viborg County Research Foundation for Social and Health Issues, The Health Administration of Viborg County, Hans and Nora Buchard’s Foundation, and The Foundation of Alfred Helsted, chief physician and DMSc, and Eli Moller, DMSc supported the study financially.
- 46.Statistics Denmark. Tabel 30. Middellevetid efter doedelighedserfaringerne (Table 30. Mean life expectancy according to the mortality experiences). Available at: http://www.statistikbanken.dk, Accessed August 28, 2006
- 48.Statistics Denmark. Population statistics. Available at: http://www.statistikbanken.dk, Accessed July 23, 2006