UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Association between major surgical admissions and the cognitive trajectory: 19 year follow-up of Whitehall II cohort study

Krause, BM; Sabia, S; Manning, HJ; Singh-Manoux, A; Sanders, RD; (2019) Association between major surgical admissions and the cognitive trajectory: 19 year follow-up of Whitehall II cohort study. BMJ , 2019 (366) , Article 14466. 10.1136/bmj.l4466. Green open access

[thumbnail of bmj.l4466.full.pdf]
Preview
Text
bmj.l4466.full.pdf - Published Version

Download (524kB) | Preview

Abstract

OBJECTIVE: To quantify the association between major surgery and the age related cognitive trajectory. // DESIGN: Prospective longitudinal cohort study. // SETTING: United Kingdom. // PARTICIPANTS: 7532 adults with as many as five cognitive assessments between 1997 and 2016 in the Whitehall II study, with linkage to hospital episode statistics. Exposures of interest included any major hospital admission, defined as requiring more than one overnight stay during follow-up. // MAIN OUTCOMES MEASURES: The primary outcome was the global cognitive score established from a battery of cognitive tests encompassing reasoning, memory, and phonemic and semantic fluency. Bayesian linear mixed effects models were used to calculate the change in the age related cognitive trajectory after hospital admission. The odds of substantial cognitive decline induced by surgery defined as more than 1.96 standard deviations from a predicted trajectory (based on the first three cognitive waves of data) was also calculated. // RESULTS: After accounting for the age related cognitive trajectory, major surgery was associated with a small additional cognitive decline, equivalent on average to less than five months of aging (95% credible interval 0.01 to 0.73 years). In comparison, admissions for medical conditions and stroke were associated with 1.4 (1.0 to 1.8) and 13 (9.6 to 16) years of aging, respectively. Substantial cognitive decline occurred in 2.5% of participants with no admissions, 5.5% of surgical admissions, and 12.7% of medical admissions. Compared with participants with no major hospital admissions, those with surgical or medical events were more likely to have substantial decline from their predicted trajectory (surgical admissions odds ratio 2.3, 95% credible interval 1.4 to 3.9; medical admissions 6.2, 3.4 to 11.0). // CONCLUSIONS: Major surgery is associated with a small, long term change in the average cognitive trajectory that is less profound than for major medical admissions. The odds of substantial cognitive decline after surgery was about doubled, though lower than for medical admissions. During informed consent, this information should be weighed against the potential health benefits of surgery.

Type: Article
Title: Association between major surgical admissions and the cognitive trajectory: 19 year follow-up of Whitehall II cohort study
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmj.l4466
Publisher version: https://doi.org/10.1136/bmj.l4466
Language: English
Additional information: This article is Open Access, published under the terms of a Creative Commons licence. Please refer back to the article to check the applicable licence (details are in the article Footnotes). Articles published under CC-BY-NC permit non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. Permission only needs to be obtained for commercial use and can be done via the RightsLink system. Articles published under the CC-BY permit unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/10080066
Downloads since deposit
83Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item