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Predictive performance of cardiovascular risk scores in cancer survivors from the UK biobank

Predictive performance of cardiovascular risk scores in cancer survivors from the UK biobank
Predictive performance of cardiovascular risk scores in cancer survivors from the UK biobank
Background: cardiovascular preventive strategies are guided by risk scores with unknown validity in cancer cohorts.

Objectives: this study evaluated the predictive performance of seven established cardiovascular risk scores in cancer survivors from the UK Biobank.

Methods: the predictive performance of QRISK3, SCORE2/SCORE-OP, Framingham Risk Score, PCP-HF, CHARGE-AF, QStroke, and CHA2DS2-VASc was calculated in participants with and without a history of cancer, propensity-matched on age, sex, deprivation, health behaviours, family history, and metabolic conditions. Analyses were stratified into any cancer, breast, lung, prostate, brain/CNS, haematological, Hodgkin’s and non-Hodgkin’s lymphoma. Incident events were ascertained through health record linkage after ten years of prospective follow-up. Area under the curve (AUC), balanced accuracy, and sensitivity are reported.

Results: the analysis included 31,534 cancer survivors and 126,136 covariate-matched controls. Risk score distributions were near identical in cases and controls. Participants with any cancer had significantly higher incidence of all cardiovascular outcomes than matched controls. Performance metrics were significantly poorer for all risk scores in cancer cases than matched controls. The most notable differences were among participants with past haematological malignancies, who had significantly higher outcome rates and poorer risk score performance than their matched controls for combined heart disease, atrial fibrillation, heart failure, and stroke. Performance of risk scores for prediction of stroke in participants with brain/CNS cancer was very poor with >30% lower predictive accuracy than non-cancer controls.

Conclusion: existing cardiovascular risk scores have significantly poorer predictive accuracy in cancer survivors compared to non-cancer comparators, leading to underestimation of risk in this cohort.
McCracken, Celeste
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Condurache, Dorina-Gabriela
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Szabo, Liliana
a5da4e9d-450f-43e5-b2de-1b1cabde6a6c
Elghazaly, Hussein
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Walter, Fiona M.
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Mead, Adam J.
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Chakraverty, Ronjon
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Harvey, Nicholas C.
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Manisty, Charlotte H.
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Petersen, Steffen E.
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Neubauer, Stefan
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Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a
McCracken, Celeste
5d772e9e-3aaa-41da-a5ef-3943b1631fd9
Condurache, Dorina-Gabriela
2d514753-214d-41be-854f-3d062523e83d
Szabo, Liliana
a5da4e9d-450f-43e5-b2de-1b1cabde6a6c
Elghazaly, Hussein
49789d64-cca4-41d0-97f6-81849c49719a
Walter, Fiona M.
b7873b25-ca80-495e-9385-2f8b563e0d37
Mead, Adam J.
5b041fae-0381-4ac5-a112-6d11550f112d
Chakraverty, Ronjon
2bda7e97-8de7-47df-a065-05b14b3d2c46
Harvey, Nicholas C.
ce487fb4-d360-4aac-9d17-9466d6cba145
Manisty, Charlotte H.
7965f8f5-350d-4d57-9bdb-8a0bb5f9aa8d
Petersen, Steffen E.
04f2ce88-790d-48dc-baac-cbe0946dd928
Neubauer, Stefan
c8a34156-a4ed-4dfe-97cb-4f47627d927d
Raisi-Estabragh, Zahra
43c85c5e-4574-476b-80d6-8fb1cdb3df0a

McCracken, Celeste, Condurache, Dorina-Gabriela, Szabo, Liliana, Elghazaly, Hussein, Walter, Fiona M., Mead, Adam J., Chakraverty, Ronjon, Harvey, Nicholas C., Manisty, Charlotte H., Petersen, Steffen E., Neubauer, Stefan and Raisi-Estabragh, Zahra (2024) Predictive performance of cardiovascular risk scores in cancer survivors from the UK biobank. JACC: CardioOncology. (In Press)

Record type: Article

Abstract

Background: cardiovascular preventive strategies are guided by risk scores with unknown validity in cancer cohorts.

Objectives: this study evaluated the predictive performance of seven established cardiovascular risk scores in cancer survivors from the UK Biobank.

Methods: the predictive performance of QRISK3, SCORE2/SCORE-OP, Framingham Risk Score, PCP-HF, CHARGE-AF, QStroke, and CHA2DS2-VASc was calculated in participants with and without a history of cancer, propensity-matched on age, sex, deprivation, health behaviours, family history, and metabolic conditions. Analyses were stratified into any cancer, breast, lung, prostate, brain/CNS, haematological, Hodgkin’s and non-Hodgkin’s lymphoma. Incident events were ascertained through health record linkage after ten years of prospective follow-up. Area under the curve (AUC), balanced accuracy, and sensitivity are reported.

Results: the analysis included 31,534 cancer survivors and 126,136 covariate-matched controls. Risk score distributions were near identical in cases and controls. Participants with any cancer had significantly higher incidence of all cardiovascular outcomes than matched controls. Performance metrics were significantly poorer for all risk scores in cancer cases than matched controls. The most notable differences were among participants with past haematological malignancies, who had significantly higher outcome rates and poorer risk score performance than their matched controls for combined heart disease, atrial fibrillation, heart failure, and stroke. Performance of risk scores for prediction of stroke in participants with brain/CNS cancer was very poor with >30% lower predictive accuracy than non-cancer controls.

Conclusion: existing cardiovascular risk scores have significantly poorer predictive accuracy in cancer survivors compared to non-cancer comparators, leading to underestimation of risk in this cohort.

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Condurache-JCO032024-0214DR-2_22May - Accepted Manuscript
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Accepted/In Press date: 29 May 2024

Identifiers

Local EPrints ID: 490988
URI: http://eprints.soton.ac.uk/id/eprint/490988
PURE UUID: 5cf7bfcc-9497-405a-93e0-081afd6a45c7
ORCID for Nicholas C. Harvey: ORCID iD orcid.org/0000-0002-8194-2512

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Date deposited: 11 Jun 2024 16:32
Last modified: 12 Jul 2024 04:08

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Contributors

Author: Celeste McCracken
Author: Dorina-Gabriela Condurache
Author: Liliana Szabo
Author: Hussein Elghazaly
Author: Fiona M. Walter
Author: Adam J. Mead
Author: Ronjon Chakraverty
Author: Charlotte H. Manisty
Author: Steffen E. Petersen
Author: Stefan Neubauer
Author: Zahra Raisi-Estabragh

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