Kaiser Permanente Northern California, Oakland, CA.
Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
J Clin Oncol. 2019 Oct 1;37(28):2528-2536. doi: 10.1200/JCO.19.00286. Epub 2019 Aug 1.
Cardiovascular disease (CVD) is a major source of morbidity and mortality among breast cancer survivors. Although body mass index (BMI) is associated with CVD risk, adipose tissue distribution may better identify patients with a high risk of CVD after breast cancer.
Among 2,943 patients with nonmetastatic breast cancer without prior CVD, we used International Classification of Diseases (9th and 10th revisions) codes to identify incidence of nonfatal stroke, myocardial infarction, heart failure, or CVD death. From clinically acquired computed tomography scans obtained near diagnosis, we measured visceral adiposity (centimeters squared), subcutaneous adiposity (centimeters squared), and intramuscular adiposity (fatty infiltration into muscle [Hounsfield Units, scored inversely]). We estimated hazard ratios (HRs) and 95% CIs per SD increase in adiposity accounting for competing risks and adjusting for demographics, smoking, cancer treatment, and pre-existing CVD risk factors.
Mean (SD) age was 56 (12) years. Over a median follow-up of 6 years, 328 CVD events occurred. Each SD increase in visceral or intramuscular adiposity was associated with an increase in CVD risk (HR, 1.15 [95% CI, 1.03 to 1.29] and HR, 1.21 [95% CI, 1.06 to 1.37]), respectively). Excess visceral and intramuscular adiposity occurred across all BMI categories. Among normal-weight patients, each SD greater visceral adiposity increased CVD risk by 70% (HR, 1.70 [95% CI, 1.10 to 2.62]).
Visceral and intramuscular adiposity were associated with increased CVD incidence after breast cancer diagnosis, independent of pre-existing CVD risk factors and cancer treatments. The increased CVD incidence among normal-weight patients with greater visceral adiposity would go undetected with BMI alone. Measures of adipose tissue distribution may help identify high-risk patients and tailor CVD prevention strategies.
心血管疾病(CVD)是乳腺癌幸存者发病率和死亡率的主要原因。尽管体重指数(BMI)与 CVD 风险相关,但脂肪组织分布可能更好地识别乳腺癌后 CVD 风险较高的患者。
在 2943 名无既往 CVD 的非转移性乳腺癌患者中,我们使用国际疾病分类(第 9 版和第 10 版)代码来确定非致命性中风、心肌梗死、心力衰竭或 CVD 死亡的发生率。从接近诊断时获得的临床获得的计算机断层扫描中,我们测量了内脏脂肪(平方厘米)、皮下脂肪(平方厘米)和肌肉内脂肪(肌肉内脂肪浸润[亨斯菲尔德单位,反向评分])。我们估计了每增加一个标准差的脂肪量的风险比(HR)和 95%置信区间(考虑到竞争风险,并调整了人口统计学、吸烟、癌症治疗和现有的 CVD 风险因素)。
平均(SD)年龄为 56(12)岁。在中位数为 6 年的随访期间,发生了 328 例 CVD 事件。内脏或肌肉内脂肪增加一个标准差与 CVD 风险增加相关(HR,1.15[95%CI,1.03 至 1.29]和 HR,1.21[95%CI,1.06 至 1.37])。超重和肥胖患者中都存在内脏和肌肉内脂肪过多的情况。在正常体重患者中,每增加一个标准差的内脏脂肪会使 CVD 风险增加 70%(HR,1.70[95%CI,1.10 至 2.62])。
在乳腺癌诊断后,内脏和肌肉内脂肪与 CVD 发病率的增加相关,独立于现有的 CVD 风险因素和癌症治疗。BMI 单独情况下,正常体重患者中内脏脂肪过多会导致 CVD 发病率增加,但无法检测到。脂肪组织分布的测量可能有助于识别高危患者并制定 CVD 预防策略。