Smoot Betty, Cooper Bruce A, Conley Yvette, Kober Kord, Levine Jon D, Mastick Judy, Topp Kimberly, Miaskowski Christine
School of Medicine, University of California, San Francisco, Box 0736, San Francisco, CA, 94143, USA.
Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, 1500 Owens Street, Suite 400, Box 0736, San Francisco, CA, 94143-0736, USA.
J Cancer Surviv. 2016 Aug;10(4):772-82. doi: 10.1007/s11764-015-0507-2. Epub 2015 Dec 18.
Approximately 20 % of patients develop lymphedema (LE) following breast cancer (BC) surgery. An evaluation of distinct trajectories of volume change may improve our ability to diagnose LE sooner. The purposes of this study were to identify subgroups of women with distinct trajectories of limb volume changes following BC surgery and to evaluate for phenotypic differences among these classes.
In this prospective longitudinal study, 380 women were enrolled prior to unilateral BC surgery. Upper limb bioimpedance was measured preoperatively and serially for 1 year postoperatively. Resistance ratios (RRs) were calculated. A RR of >1 indicates affected limb volume > unaffected limb volume. Latent class growth analysis (LCGA) was used to identify classes of women with distinct postoperative RR trajectories. Differences among classes were evaluated using analyses of variance and chi-square analyses.
Three distinct classes were identified as follows: RR <0.95 (37.9 %), RR ~1.00 (46.8 %), and RR >1.05 (15.3 %). Patients in the RR >1.05 class were more likely to have diabetes (p = 0.036), were more likely to have BC on their dominant side (p < 0.001), had higher RR ratios at the preoperative and 1-month assessments (p < 0.001), and were more likely to be diagnosed with LE (p < 0.001).
LCGA is a useful analytic technique to identify subgroups of women who may be at higher risk for the development of LE, based on trajectories of limb volume change after BC surgery.
Assessment of preoperative and 1-month bioimpedance RRs may allow for the earlier identification of patients who are at higher risk for the development of LE.
约20%的乳腺癌(BC)患者在手术后会发生淋巴水肿(LE)。评估体积变化的不同轨迹可能会提高我们更早诊断淋巴水肿的能力。本研究的目的是识别乳腺癌手术后上肢体积变化轨迹不同的女性亚组,并评估这些亚组之间的表型差异。
在这项前瞻性纵向研究中,380名女性在单侧乳腺癌手术前入组。术前及术后连续1年测量上肢生物阻抗。计算电阻比(RRs)。RR>1表示患侧肢体体积大于未患侧肢体体积。采用潜在类别增长分析(LCGA)来识别术后RR轨迹不同的女性类别。使用方差分析和卡方分析评估各亚组之间的差异。
确定了三个不同的类别如下:RR<0.95(37.9%),RR~1.00(46.8%),以及RR>1.05(15.3%)。RR>1.05类别的患者更有可能患糖尿病(p=0.036),更有可能在优势侧患乳腺癌(p<0.001),在术前和1个月评估时RR比值更高(p<0.001),并且更有可能被诊断为淋巴水肿(p<0.001)。
基于乳腺癌手术后肢体体积变化轨迹,潜在类别增长分析是一种有用的分析技术,可用于识别可能发生淋巴水肿风险较高的女性亚组。
术前和1个月生物阻抗RR的评估可能有助于更早识别发生淋巴水肿风险较高的患者。