The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Age of patients undergoing surgery
Abstract
Background: Advancing age is independently associated with poor postoperative outcomes. The ageing of the general population is a major concern for healthcare providers. Trends in age were studied among patients undergoing surgery in the National Health Service in England. Methods: Time trend ecological analysis was undertaken of Hospital Episode Statistics and Office for National Statistics data for England from 1999 to 2015. The proportion of patients undergoing surgery in different age groupings, their pooled mean age, and change in age profile over time were calculated. Growth in the surgical population was estimated, with associated costs, to the year 2030 by use of linear regression modelling. Results: Some 68 205 695 surgical patient episodes (31 220 341 men, 45·8 per cent) were identified. The mean duration of hospital stay was 5·3 days. The surgical population was older than the general population of England; this gap increased over time (1999: 47·5 versus 38·3 years; 2015: 54·2 versus 39·7 years). The number of people aged 75 years or more undergoing surgery increased from 544 998 (14·9 per cent of that age group) in 1999 to 1 012 517 (22·9 per cent) in 2015. By 2030, it is estimated that one-fifth of the 75 years and older age category will undergo surgery each year (1·49 (95 per cent c.i. 1·43 to 1·55) million people), at a cost of €3·2 (3·1 to 3·5) billion. Conclusion: The population having surgery in England is ageing at a faster rate than the general population. Healthcare policies must adapt to ensure that provision of surgical treatments remains safe and sustainable.
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López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
Mortality after surgery in Europe: a 7 day cohort study
Pearse, R. M., Moreno, R. P., Bauer, P., Pelosi, P., Metnitz, P., Spies, C., Vallet, B., Vincent, J.-L., Hoeft, A., & Rhodes, A. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61148-9 · Cited by 1,355
Self-citationWriting Committee for the VISION Study Investigators, Devereaux, P. J., Biccard, B. M., Sigamani, A., Xavier, D., Chan, M. T. V., Srinathan, S. K., Walsh, M., Abraham, V., Pearse, R., et al. (2017) · JAMA · doi:10.1001/jama.2017.4360 · Cited by 912
Self-citationThe Aging Population and Its Impact on the Surgery Workforce
Etzioni, D. A., Liu, J. H., Maggard, M. A., & Ko, C. Y. (2003) · Annals of Surgery · doi:10.1097/01.sla.0000081085.98792.3d · Cited by 886
Pearse, R. M., Harrison, D. A., MacDonald, N., Gillies, M. A., Blunt, M., Ackland, G., Grocott, M. P. W., Ahern, A., Griggs, K., Scott, R., et al. (2014) · JAMA · doi:10.1001/jama.2014.5305 · Cited by 862
Self-citationHow should cost data in pragmatic randomised trials be analysed?
Thompson, S. G. (2000) · BMJ · doi:10.1136/bmj.320.7243.1197 · Cited by 772
Identification and characterisation of the high-risk surgical population in the United Kingdom
Pearse, R. M., Harrison, D. A., James, P., Watson, D., Hinds, C., Rhodes, A., Grounds, R. M., & Bennett, E. D. (2006) · Critical Care · doi:10.1186/cc4928 · Cited by 667
Self-citation(2016) · British Journal of Anaesthesia · doi:10.1093/bja/aew316 · Cited by 614
Wijeysundera, D. N., Pearse, R. M., Shulman, M. A., Abbott, T. E. F., Torres, E., Ambosta, A., Croal, B. L., Granton, J. T., Thorpe, K. E., Grocott, M. P. W., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31131-0 · Cited by 501
Self-citationCancer incidence and mortality projections in the UK until 2035.
Smittenaar, C. R., Petersen, K. A., Stewart, K., & Moitt, N. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.304 · Cited by 495
Randomized clinical trial of comprehensive geriatric assessment and optimization in vascular surgery
Partridge, J. S. L., Harari, D., Martin, F. C., Peacock, J. L., Bell, R., Mohammed, A., & Dhesi, J. K. (2017) · British Journal of Surgery · doi:10.1002/bjs.10459 · Cited by 349
Abbott, T. E. F., Pearse, R. M., Archbold, R. A., Ahmad, T., Niebrzegowska, E., Wragg, A., Rodseth, R. N., Devereaux, P. J., & Ackland, G. L. (2018) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002560 · Cited by 265
Self-citationJhanji, S., Thomas, B., Ely, A., Watson, D., Hinds, C. J., & Pearse, R. M. (2008) · Anaesthesia · doi:10.1111/j.1365-2044.2008.05560.x · Cited by 259
Self-citationAbbott, T. E. F., Fowler, A. J., Dobbs, T. D., Harrison, E. M., Gillies, M. A., & Pearse, R. M. (2017) · British Journal of Anaesthesia · doi:10.1093/bja/aex137 · Cited by 248
Self-citationThe effects of aging on the cutaneous microvasculature
Kelly, R. I., Pearse, R., Bull, R. H., Leveque, J.-L., de Rigal, J., & Mortimer, P. S. (1995) · Journal of the American Academy of Dermatology · doi:10.1016/0190-9622(95)91812-4 · Cited by 188
Self-citationAbbott, T. E. F., Ahmad, T., Phull, M., Fowler, A. J., Hewson, R., Biccard, B. M., Chew, M. S., Gillies, M., Pearse, R. M., Pearse, R. M., et al. (2017) · British Journal of Anaesthesia · doi:10.1016/j.bja.2017.08.002 · Cited by 168
Self-citationThe International Surgical Outcomes Study (ISOS) group, Kahan, B. C., Koulenti, D., Arvaniti, K., Beavis, V. S., Campbell, D., Chan, M. T. V., Moreno, R. P., & Pearse, R. M. (2017) · Intensive Care Medicine · doi:10.1007/s00134-016-4633-8 · Cited by 145
Self-citationAhmad, T. A., Bouwman, R. A., Grigoraș, I., Aldecoa, C., Hofer, C. K., Hoeft, A., Holt, P., Fleisher, L. A., Bühre, W., & Pearse, R. M. (2017) · British Journal of Anaesthesia · doi:10.1093/bja/aex185 · Cited by 85
Self-citationPartridge, J. S. L., Collingridge, G., Gordon, A. L., Martin, F. C., Harari, D., & Dhesi, J. K. (2014) · Age and Ageing · doi:10.1093/ageing/afu084 · Cited by 75
Wijeysundera, D. N., Pearse, R. M., Shulman, M. A., Abbott, T. E. F., Torres, E., Croal, B. L., Granton, J. T., Thorpe, K. E., Grocott, M. P. W., Farrington, C., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010359 · Cited by 68
Self-citationAbbott, T. E. F., Pearse, R. M., Archbold, A., Wragg, A., Kam, E., Ahmad, T. A., KHAN, A., Niebrzegowska, E., Rodseth, R. N., Devereaux, P. J., et al. (2017) · British Journal of Anaesthesia · doi:10.1093/bja/aex165 · Cited by 65
Self-citationBouras, G., Burns, E. M., Howell, A.-M., Bottle, A., Athanasiou, T., & Darzi, A. W. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145759 · Cited by 63
Abbott, T. E. F., Minto, G., Lee, A. M., et al. (2017) · British Journal of Anaesthesia · doi:10.1093/bja/aex164 · Cited by 42
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Self-citationMcIsaac, D. I., Hutton, B., Veroniki, A., Gill, M., Boland, L., Branje, K., Grudzinski, A. L., Hladkowicz, E., Shaw, J., & Gillis, C. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-068797 · Cited by 7
Metadata
- Authors
- Fowler, A. J., Abbott, T. E. F., Prowle, J., & Pearse, R. M.
- Venue
- British Journal of Surgery
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-05-22
- Volume
- 106
- Issue
- 8
- Pages
- 1012-1018
- ISSN
- 0007-1323 (ISSN-L)
- 1365-2168
- OpenAlex
- W2945161009
- Cited by
- 417
- References
- 23
- FWCI
- 22.17
- Type
- journal article
- Language
- en
- Open access
- closed
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