The One-Stop Clinic is an Opportunity to Assess Breast Cancer Risk and Offer Advice Targeting Modifiable Risk Factors.
Association of Breast Surgery ePoster Library. Godden A. 05/13/19; 257191; P149
Ms. Amy Godden
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P149
Topic: Risk factors for breast cancer
Introduction: Breast cancer causes more deaths than any other medical condition in women aged 30-50 years. Up to one third are preventable (CRUK data), yet many women are unaware of the modifiable risk factors. We investigated breast cancer risk in the one-stop-clinic population. Methods Retrospective data collection via electronic records over 25 consecutive working days in August - September 2018. Tyrer-Cuzick risk was calculated. The population was divided into four categories by 10-year breast cancer risk; less than Population (Results311 patients had data available (16 were excluded as aged >75 so could not use Tyrer-Cuzick). Mean age was 46. 4% were at high risk (>8% at 10 years), 32% were at moderate risk (>3-8% at 10-years), , 21% were at population risk (2-3% risk at 10 years), and 43% were at low risk (ConclusionsPerforming Tyrer-Cuzick on a one stop population reveals a substantial proportion of high and moderate risk women. Family history clinics are well established in the UK but a risk prediction model encompassing other variables and modifiable risk factors is likely to identify additional women at increased risk. These women can be offered screening or prophylaxis from a younger age. Individualised risk assessment can be harnessed to motivate women to address their personal modifiable risk factor. This represents an ideal opportunity to broach topics such as weight control, activity, diet and alcohol intake which are at the heart of many public health campaigns.
Topic: Risk factors for breast cancer
Introduction: Breast cancer causes more deaths than any other medical condition in women aged 30-50 years. Up to one third are preventable (CRUK data), yet many women are unaware of the modifiable risk factors. We investigated breast cancer risk in the one-stop-clinic population. Methods Retrospective data collection via electronic records over 25 consecutive working days in August - September 2018. Tyrer-Cuzick risk was calculated. The population was divided into four categories by 10-year breast cancer risk; less than Population (Results311 patients had data available (16 were excluded as aged >75 so could not use Tyrer-Cuzick). Mean age was 46. 4% were at high risk (>8% at 10 years), 32% were at moderate risk (>3-8% at 10-years), , 21% were at population risk (2-3% risk at 10 years), and 43% were at low risk (ConclusionsPerforming Tyrer-Cuzick on a one stop population reveals a substantial proportion of high and moderate risk women. Family history clinics are well established in the UK but a risk prediction model encompassing other variables and modifiable risk factors is likely to identify additional women at increased risk. These women can be offered screening or prophylaxis from a younger age. Individualised risk assessment can be harnessed to motivate women to address their personal modifiable risk factor. This represents an ideal opportunity to broach topics such as weight control, activity, diet and alcohol intake which are at the heart of many public health campaigns.
P149
Topic: Risk factors for breast cancer
Introduction: Breast cancer causes more deaths than any other medical condition in women aged 30-50 years. Up to one third are preventable (CRUK data), yet many women are unaware of the modifiable risk factors. We investigated breast cancer risk in the one-stop-clinic population. Methods Retrospective data collection via electronic records over 25 consecutive working days in August - September 2018. Tyrer-Cuzick risk was calculated. The population was divided into four categories by 10-year breast cancer risk; less than Population (Results311 patients had data available (16 were excluded as aged >75 so could not use Tyrer-Cuzick). Mean age was 46. 4% were at high risk (>8% at 10 years), 32% were at moderate risk (>3-8% at 10-years), , 21% were at population risk (2-3% risk at 10 years), and 43% were at low risk (ConclusionsPerforming Tyrer-Cuzick on a one stop population reveals a substantial proportion of high and moderate risk women. Family history clinics are well established in the UK but a risk prediction model encompassing other variables and modifiable risk factors is likely to identify additional women at increased risk. These women can be offered screening or prophylaxis from a younger age. Individualised risk assessment can be harnessed to motivate women to address their personal modifiable risk factor. This represents an ideal opportunity to broach topics such as weight control, activity, diet and alcohol intake which are at the heart of many public health campaigns.
Topic: Risk factors for breast cancer
Introduction: Breast cancer causes more deaths than any other medical condition in women aged 30-50 years. Up to one third are preventable (CRUK data), yet many women are unaware of the modifiable risk factors. We investigated breast cancer risk in the one-stop-clinic population. Methods Retrospective data collection via electronic records over 25 consecutive working days in August - September 2018. Tyrer-Cuzick risk was calculated. The population was divided into four categories by 10-year breast cancer risk; less than Population (Results311 patients had data available (16 were excluded as aged >75 so could not use Tyrer-Cuzick). Mean age was 46. 4% were at high risk (>8% at 10 years), 32% were at moderate risk (>3-8% at 10-years), , 21% were at population risk (2-3% risk at 10 years), and 43% were at low risk (ConclusionsPerforming Tyrer-Cuzick on a one stop population reveals a substantial proportion of high and moderate risk women. Family history clinics are well established in the UK but a risk prediction model encompassing other variables and modifiable risk factors is likely to identify additional women at increased risk. These women can be offered screening or prophylaxis from a younger age. Individualised risk assessment can be harnessed to motivate women to address their personal modifiable risk factor. This represents an ideal opportunity to broach topics such as weight control, activity, diet and alcohol intake which are at the heart of many public health campaigns.
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