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. Author manuscript; available in PMC: 2023 Aug 28.
Published in final edited form as: Breast Cancer Res Treat. 2022 Apr 16;193(3):669–675. doi: 10.1007/s10549-022-06586-4

Table 1.

Characteristics of breast cancer cases and matched controls, overall and by incident heart failure with preserved ejection fraction (HFpEF, LVEF≥45%) and heart failure with reduced ejection fraction (HFrEF, LVEF<45%)

Cases (n=14,804) Controls (n=74,034)a P-valuec
Total n=14,804 HFpEF n=182 HFrEF n=90 P-valueb Total n=74,034 HFpEF n=732 HFrEF n=258 P-valueb
mean sd mean sd mean sd mean sd mean sd mean sd
Age at diagnosis (years) 61.1 12.8 70.2 9.8 65.7 10.5 <0.01 61.1 12.8 73.3 10.1 71.5 9.8 0.01 NA
Body Mass Index (kg/m 2 ) 28.5 6.5 32.1 7.6 29.5 6.7 0.01 28.3 6.5 30.1 7.4 29.2 7.0 0.08 <0.01
Median neighborhood household income (% census tract) 80,498 34,081 77,227 34,169 74,358 35,370 0.52 79,605 34,052 74,506 32,112 75,114 29,987 0.79 <0.01
Neighborhood education level (% census tract)
 High school or less 32% 18% 34% 18% 38% 20% 0.08 33% 18% 35% 18% 36% 17% 0.33 <0.01
 Some college or associate degree 31% 10% 31% 11% 30% 11% 0.66 31% 10% 31% 10% 31% 10% 0.81 0.96
 College degree 23% 11% 23% 12% 20% 12% 0.15 23% 11% 22% 11% 21% 11% 0.59 <0.01
 Graduate degree 14% 12% 13% 11% 12% 10% 0.31 13% 11% 13% 11% 12% 11% 0.20 <0.01
n % n % n % P-valueb n % n % n % P-valueb P-valuec
Race and/or ethnicity 0.18 0.79 NA
 White 9,601 65% 127 70% 51 57% 48,026 65% 516 70% 188 73%
 Black 1,105 7% 17 9% 17 19% 5,528 7% 73 10% 21 8%
 Asian 2,147 15% 13 7% 10 11% 10,722 15% 68 9% 19 7%
 Hispanic 1,769 12% 22 12% 11 12% 8,844 12% 66 9% 27 10%
 Native Hawaiian and/or Pacific Islander 65 0% 1 1% 0 0% 324 0% 1 0% 0 0%
 American Indian and/or Alaska Native 117 1% 2 1% 1 1% 590 1% 8 1% 3 1%
Smoking status at baseline 0.37 0.01 <0.01
 Never smoker 8,128 55% 84 46% 37 41% 39,961 54% 335 46% 102 40%
 Current smoker 1,320 9% 21 12% 6 7% 6,804 9% 79 11% 49 19%
 Former smoker 4,223 29% 63 35% 39 43% 16,243 22% 212 29% 71 28%
 Unknown 1,133 8% 14 8% 8 9% 11,026 15% 106 14% 36 14%
Post-menopausal 11,087 75% 173 95% 78 87% 0.03 56,010 76% 709 97% 250 97% 1.00 0.05
History of diabetes before breast cancer d 1,977 13% 58 32% 25 28% 0.58 9,536 13% 269 37% 80 31% 0.11 0.12
History of dyslipidemia before breast cancer e 6,434 43% 127 70% 46 51% <0.01 30,670 41% 518 71% 174 67% 0.36 0.42
History of hypertension before breast cancer f 6,240 42% 149 82% 59 66% <0.01 30,937 42% 593 81% 190 74% 0.02 <0.01
History of chronic kidney disease before breast cancer 2,378 21% 84 50% 24 33% 0.02 11,610 21% 348 51% 117 52% 0.91 0.71
Prevalent CVD at baseline
 Arrhythmia 143 1% 4 2% 2 2% 1.00 697 1% 29 4% 8 3% 0.66 0.81
 Cardiac arrest 2 0% 0 0% 0 0% NC 8 0% 0 0% 0 0% NC 1.00
 Cardiomyopathy 0 0% 0 0% 0 0% NC 10 0% 1 0% 1 0% 1.00 0.32
 Heart failure 0 0% 0 0% 0 0% NC 0 0% 0 0% 0 0% NC NC
 Carotid disease 0 0% 0 0% 0 0% NC 0 0% 0 0% 0 0% NC NC
 Ischemic heart disease 83 1% 5 3% 2 2% 1.00 516 1% 26 4% 9 3% 1.00 0.07
 Myocarditis pericarditis 4 0% 0 0% 0 0% NC 7 0% 0 0% 0 0% NC 0.18
 Stroke 107 1% 4 2% 0 0% 0.38 552 1% 21 3% 5 2% 0.56 0.81
 Transient Ischemic Attack (TIA) 5 0% 0 0% 0 0% NC 63 0% 4 1% 0 0% 0.54 0.06
 Valvular disease 11 0% 0 0% 0 0% NC 69 0% 2 0% 2 1% 0.60 0.58
 Venous thromboembolic disease 28 0% 0 0% 0 0% NC 163 0% 2 0% 0 0% 0.97 0.52
Received chemotherapy (case only) 6,229 42% 51 28% 50 56% <0.01 NA NA NA NA NA NA NA NA
 Anthracycline 4,112 28% 35 19% 43 48% <0.01 NA NA NA NA NA NA NA NA
 Trastuzumab or pertuzumab 1,521 10% 11 6% 11 12% 0.13 NA NA NA NA NA NA NA NA
Received left-sided radiation therapy (case only) 4,813 33% 62 34% 31 34% 1.00 NA NA NA NA NA NA NA NA
Received endocrine therapy (case only) 7,874 53% 104 57% 42 47% 0.13 NA NA NA NA NA NA NA NA

NA = not applicable, NC = not calculable

a

Breast cancer cases matched 1:5 to non-breast cancer controls on birth year and race/ethnicity.

b

Chi-square or Fisher exact test for categorical variables, one-way ANOVA for continuous variables across two HF groups within case/control group

c

Chi-square or Fisher exact test for categorical variables, one-way ANOVA for continuous variables across case/control groups

d

Diabetes status was determined by the KPNC diabetes registry which uses a combination of inpatient and outpatient diagnosis codes, pharmacy, and blood test results to identify diabetic patients.

e

Dyslipidemia was determined by a combination of diagnosis codes, pharmacy records, and blood lipid test.

f

Hypertension was determined by a combination of diagnosis codes, blood pressure values, and number of clinical encounters.