
JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (12): 1643-1648.doi: 10.3969/j.issn.1674-8115.2021.12.014
• Clinical research • Previous Articles Next Articles
Ye-zi CHAI(
), Jun MA(
), Wen-long JIANG, Qi-ming LIU, Qi-fan LU, Zheng-yu TAO, Meng JIANG(
), Jun PU(
)
Received:2021-08-04
Online:2021-12-28
Published:2021-01-28
Contact:
Meng JIANG,Jun PU
E-mail:cyz960707@126.com;jiangmeng0919@163.com;pujun310@hotmail.com
Supported by:CLC Number:
Ye-zi CHAI, Jun MA, Wen-long JIANG, Qi-ming LIU, Qi-fan LU, Zheng-yu TAO, Meng JIANG, Jun PU. Assessment of cardiopulmonary exercise capacity in early stage of patients with breast cancer undergoing neoadjuvant chemotherapy and related factors[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(12): 1643-1648.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2021.12.014
| Indicator | Control group (n=52) | Chemotherapy group (n=52) | P value |
|---|---|---|---|
| Female/n(%) | 52 (100.0) | 52 (100.0) | 1.000 |
| Age/year | 51 (43,60) | 49 (41,58) | 0.385 |
| BMI/(kg·m-2) | 22.61±2.87 | 23.04±2.35 | 0.411 |
| Clinical feature | |||
| Hypertension/n(%) | 5 (9.6) | 8 (15.4) | 0.374 |
| Hyperlipidemia/n(%) | 4 (7.7) | 6 (11.5) | 0.506 |
| Diabetes/n(%) | ‒ | 3 (5.8) | ‒ |
| Smoking/n(%) | ‒ | ‒ | ‒ |
| Family history of cancer/n(%) | ‒ | 3 (5.8) | ‒ |
| Laboratory examination | |||
| NT-proBNP/(pg·mL-1) | 22.04 (12.93,32.34) | 23.98 (11.04, 40.56) | 0.902 |
| BNP/(pg·mL-1) | 23.00 (16.00,35.00) | 17.00 (13.00, 27.00) | 0.098 |
| ST2/(ng·mL-1) | 19.55±5.35 | 21.98±7.60 | 0.103 |
| Indicators of Echocardiography | |||
| LAD/mm | 34.27±4.14 | 33.58±4.43 | 0.387 |
| LVEDD/mm | 44.06±3.58 | 44.65±3.19 | 0.601 |
| LVESD/mm | 28.55±2.68 | 28.68±2.38 | 0.501 |
| IVST/mm | 8.24±1.35 | 8.08±1.36 | 0.388 |
| LVPWT/mm | 7.85±0.83 | 7.70±1.08 | 0.240 |
| LVEF/% | 64.61±3.39 | 64.02±3.77 | 0.734 |
Tab 1 Comparison of demographic data and clinical indicators between chemotherapy group and control group
| Indicator | Control group (n=52) | Chemotherapy group (n=52) | P value |
|---|---|---|---|
| Female/n(%) | 52 (100.0) | 52 (100.0) | 1.000 |
| Age/year | 51 (43,60) | 49 (41,58) | 0.385 |
| BMI/(kg·m-2) | 22.61±2.87 | 23.04±2.35 | 0.411 |
| Clinical feature | |||
| Hypertension/n(%) | 5 (9.6) | 8 (15.4) | 0.374 |
| Hyperlipidemia/n(%) | 4 (7.7) | 6 (11.5) | 0.506 |
| Diabetes/n(%) | ‒ | 3 (5.8) | ‒ |
| Smoking/n(%) | ‒ | ‒ | ‒ |
| Family history of cancer/n(%) | ‒ | 3 (5.8) | ‒ |
| Laboratory examination | |||
| NT-proBNP/(pg·mL-1) | 22.04 (12.93,32.34) | 23.98 (11.04, 40.56) | 0.902 |
| BNP/(pg·mL-1) | 23.00 (16.00,35.00) | 17.00 (13.00, 27.00) | 0.098 |
| ST2/(ng·mL-1) | 19.55±5.35 | 21.98±7.60 | 0.103 |
| Indicators of Echocardiography | |||
| LAD/mm | 34.27±4.14 | 33.58±4.43 | 0.387 |
| LVEDD/mm | 44.06±3.58 | 44.65±3.19 | 0.601 |
| LVESD/mm | 28.55±2.68 | 28.68±2.38 | 0.501 |
| IVST/mm | 8.24±1.35 | 8.08±1.36 | 0.388 |
| LVPWT/mm | 7.85±0.83 | 7.70±1.08 | 0.240 |
| LVEF/% | 64.61±3.39 | 64.02±3.77 | 0.734 |
| Indicator | Control group (n=52) | Chemotherapy group (n=52) | P value |
|---|---|---|---|
| Peak VO2/(mL·min-1·kg-1) | 22.80±3.13 | 18.22±3.48 | 0.000 |
| Peak MET | 6.51±0.89 | 5.20±1.00 | 0.000 |
| AT/(mL·min-1·kg-1) | 14.93±2.60 | 12.09±2.35 | 0.000 |
| VE/VCO2 slope | 27.35±3.08 | 27.13±3.28 | 0.728 |
| ΔVO2/ΔWR/(mL·min-1·W-1) | 10.16±1.37 | 9.50±1.39 | 0.017 |
| O2P/(mL·beat-1) | 8.87±1.29 | 7.67±1.45 | 0.000 |
| Resting SBP/mmHg | 118.93±17.69 | 116.08±16.27 | 0.550 |
| Resting DBP/mmHg | 68.59±10.92 | 71.76±10.16 | 0.285 |
| Peak SBP/mmHg | 158.27±24.61 | 150.95±25.22 | 0.155 |
| Peak DBP/mmHg | 72.58±14.19 | 73.27±17.04 | 0.828 |
| Resting HR/(beat·min-1) | 68.35±8.76 | 68.51±11.15 | 0.945 |
| Peak HR/(beat·min-1) | 147.79±15.33 | 143.31±17.43 | 0.167 |
Tab 2 Comparison of CPET indexes between chemotherapy group and control group
| Indicator | Control group (n=52) | Chemotherapy group (n=52) | P value |
|---|---|---|---|
| Peak VO2/(mL·min-1·kg-1) | 22.80±3.13 | 18.22±3.48 | 0.000 |
| Peak MET | 6.51±0.89 | 5.20±1.00 | 0.000 |
| AT/(mL·min-1·kg-1) | 14.93±2.60 | 12.09±2.35 | 0.000 |
| VE/VCO2 slope | 27.35±3.08 | 27.13±3.28 | 0.728 |
| ΔVO2/ΔWR/(mL·min-1·W-1) | 10.16±1.37 | 9.50±1.39 | 0.017 |
| O2P/(mL·beat-1) | 8.87±1.29 | 7.67±1.45 | 0.000 |
| Resting SBP/mmHg | 118.93±17.69 | 116.08±16.27 | 0.550 |
| Resting DBP/mmHg | 68.59±10.92 | 71.76±10.16 | 0.285 |
| Peak SBP/mmHg | 158.27±24.61 | 150.95±25.22 | 0.155 |
| Peak DBP/mmHg | 72.58±14.19 | 73.27±17.04 | 0.828 |
| Resting HR/(beat·min-1) | 68.35±8.76 | 68.51±11.15 | 0.945 |
| Peak HR/(beat·min-1) | 147.79±15.33 | 143.31±17.43 | 0.167 |
| Indicator | Normal BMI subgroup (n=39) | Overweight and obesity subgroup (n=13) | P value |
|---|---|---|---|
| Indicators of CPET | |||
| Peak VO2/(mL·min-1·kg-1) | 18.84±3.62 | 16.38±2.22 | 0.006 |
| Peak MET | 5.39±1.04 | 4.65±0.63 | 0.004 |
| AT/(mL·min-1·kg-1) | 12.44±2.51 | 11.05±1.38 | 0.017 |
| VE/VCO2 slope | 27.07±3.52 | 27.33±2.54 | 0.806 |
| ΔVO2/ΔWR/(mL·min-1·W-1) | 9.39±1.02 | 9.82±2.15 | 0.502 |
| O2P/(mL·beat-1) | 7.52±1.55 | 8.10±1.02 | 0.219 |
| Resting SBP/mmHg | 117.37±17.79 | 112.00±10.26 | 0.493 |
| Resting DBP/mmHg | 72.58±11.10 | 69.17±6.40 | 0.485 |
| Peak SBP/mmHg | 148.94±25.31 | 155.77±25.32 | 0.419 |
| Peak DBP/mmHg | 74.71±17.27 | 69.85±16.64 | 0.394 |
| Resting HR/(beat·min-1) | 67.66±10.08 | 69.64±11.18 | 0.318 |
| Peak HR/(beat·min-1) | 144.15±16.79 | 140.77±19.72 | 0.550 |
| Indicators of echocardiography | |||
| LAD/mm | 32.77±4.23 | 36.50±4.14 | 0.033 |
| IVST/mm | 7.93±1.33 | 8.63±1.41 | 0.206 |
| LVPWT/mm | 7.55±1.02 | 8.25±1.17 | 0.105 |
| LVEF/% | 63.90±3.04 | 64.38±5.56 | 0.691 |
| Laboratory examination | |||
| BNP/(pg·mL-1) | 21.44±14.38 | 23.83±12.68 | 0.607 |
| NT-pro BNP/(pg·mL-1) | 27.17±19.76 | 29.97±24.51 | 0.686 |
Tab 3 Comparison of CPET indexes between overweight and obesity subgroup and normal subgroup
| Indicator | Normal BMI subgroup (n=39) | Overweight and obesity subgroup (n=13) | P value |
|---|---|---|---|
| Indicators of CPET | |||
| Peak VO2/(mL·min-1·kg-1) | 18.84±3.62 | 16.38±2.22 | 0.006 |
| Peak MET | 5.39±1.04 | 4.65±0.63 | 0.004 |
| AT/(mL·min-1·kg-1) | 12.44±2.51 | 11.05±1.38 | 0.017 |
| VE/VCO2 slope | 27.07±3.52 | 27.33±2.54 | 0.806 |
| ΔVO2/ΔWR/(mL·min-1·W-1) | 9.39±1.02 | 9.82±2.15 | 0.502 |
| O2P/(mL·beat-1) | 7.52±1.55 | 8.10±1.02 | 0.219 |
| Resting SBP/mmHg | 117.37±17.79 | 112.00±10.26 | 0.493 |
| Resting DBP/mmHg | 72.58±11.10 | 69.17±6.40 | 0.485 |
| Peak SBP/mmHg | 148.94±25.31 | 155.77±25.32 | 0.419 |
| Peak DBP/mmHg | 74.71±17.27 | 69.85±16.64 | 0.394 |
| Resting HR/(beat·min-1) | 67.66±10.08 | 69.64±11.18 | 0.318 |
| Peak HR/(beat·min-1) | 144.15±16.79 | 140.77±19.72 | 0.550 |
| Indicators of echocardiography | |||
| LAD/mm | 32.77±4.23 | 36.50±4.14 | 0.033 |
| IVST/mm | 7.93±1.33 | 8.63±1.41 | 0.206 |
| LVPWT/mm | 7.55±1.02 | 8.25±1.17 | 0.105 |
| LVEF/% | 63.90±3.04 | 64.38±5.56 | 0.691 |
| Laboratory examination | |||
| BNP/(pg·mL-1) | 21.44±14.38 | 23.83±12.68 | 0.607 |
| NT-pro BNP/(pg·mL-1) | 27.17±19.76 | 29.97±24.51 | 0.686 |
| Indicator | Univariable | Multivariable | |||
|---|---|---|---|---|---|
| β | P value | β | P value | ||
| Age | -0.216 | 0.124 | - | - | |
| BMI | -0.480 | 0.000 | -0.528 | 0.047 | |
| Hypertension | -0.113 | 0.512 | - | - | |
| Diabetes | -0.191 | 0.263 | - | - | |
| Hyperlipidemia | -0.051 | 0.766 | - | - | |
| Resting SBP | -0.534 | 0.006 | -0.475 | 0.093 | |
| IVST | -0.411 | 0.011 | -0.185 | 0.663 | |
| LVPWT | -0.410 | 0.012 | 0.238 | 0.564 | |
Tab 4 Univariable and multivariable linear regression analysis of clinical features and peak VO2
| Indicator | Univariable | Multivariable | |||
|---|---|---|---|---|---|
| β | P value | β | P value | ||
| Age | -0.216 | 0.124 | - | - | |
| BMI | -0.480 | 0.000 | -0.528 | 0.047 | |
| Hypertension | -0.113 | 0.512 | - | - | |
| Diabetes | -0.191 | 0.263 | - | - | |
| Hyperlipidemia | -0.051 | 0.766 | - | - | |
| Resting SBP | -0.534 | 0.006 | -0.475 | 0.093 | |
| IVST | -0.411 | 0.011 | -0.185 | 0.663 | |
| LVPWT | -0.410 | 0.012 | 0.238 | 0.564 | |
| 1 | Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA: A Cancer J Clin, 2021, 71(3): 209-249. |
| 2 | Cobleigh M, Yardley DA, Brufsky AM, et al. Baseline characteristics, treatment patterns, and outcomes in patients with HER2-positive metastatic breast cancer by hormone receptor status from SystHERs[J]. Clin Cancer Res, 2020, 26(5): 1105-1113. |
| 3 | Florescu DR, Nistor DE. Therapy-induced cardiotoxicity in breast cancer patients: a well-known yet unresolved problem[J]. Discoveries (Craiova), 2019, 7(1): e89. |
| 4 | Riihimäki M, Thomsen H, Brandt A, et al. Death causes in breast cancer patients[J]. Ann Oncol, 2012, 23(3): 604-610. |
| 5 | Hall ME. Body mass index and heart failure mortality: more is less?[J]. JACC: Heart Fail, 2018, 6(3): 243-245. |
| 6 | Recalde M, Davila-Batista V, Díaz Y, et al. Body mass index and waist circumference in relation to the risk of 26 types of cancer: a prospective cohort study of 3.5 million adults in Spain[J]. BMC Med, 2021, 19(1): 10. |
| 7 | Belardinelli R, Lacalaprice F, Carle F, et al. Exercise-induced myocardial ischaemia detected by cardiopulmonary exercise testing[J]. Eur Heart J, 2003, 24(14): 1304-1313. |
| 8 | Kavanagh T, Mertens DJ, Hamm LF, et al. Prediction of long-term prognosis in 12 169 men referred for cardiac rehabilitation[J]. Circulation, 2002, 106(6): 666-671. |
| 9 | Sato T, Yoshihisa A, Kanno Y, et al. Cardiopulmonary exercise testing as prognostic indicators: comparisons among heart failure patients with reduced, mid-range and preserved ejection fraction[J]. Eur J Prev Cardiol, 2017, 24(18): 1979-1987. |
| 10 | Palau P, Domínguez E, Núñez E, et al. Peak exercise oxygen uptake predicts recurrent admissions in heart failure with preserved ejection fraction[J]. Rev Esp Cardiol (Engl Ed), 2018, 71(4): 250-256. |
| 11 | Fedele P, Orlando L, Schiavone P, et al. BMI variation increases recurrence risk in women with early-stage breast cancer[J]. Future Oncol, 2014, 10(15): 2459-2468. |
| 12 | Warren LEG, Ligibel JA, Chen YH, et al. Body mass index and locoregional recurrence in women with early-stage breast cancer[J]. Ann Surg Oncol, 2016, 23(12): 3870-3879. |
| 13 | Scholz C, Andergassen U, Hepp P, et al. Obesity as an independent risk factor for decreased survival in node-positive high-risk breast cancer[J]. Breast Cancer Res Treat, 2015, 151(3): 569-576. |
| 14 | Chan DSM, Vieira AR, Aune D, et al. Body mass index and survival in women with breast cancer-systematic literature review and meta-analysis of 82 follow-up studies[J]. Ann Oncol, 2014, 25(10): 1901-1914. |
| 15 | Griggs JJ, Mangu PB, Anderson H, et al. Appropriate chemotherapy dosing for obese adult patients with cancer: American Society of Clinical Oncology clinical practice guideline[J]. J Clin Oncol, 2012, 30(13): 1553-1561. |
| 16 | Kamimura K, Matsumoto Y, Zhou Q, et al. Myelosuppression by chemotherapy in obese patients with gynecological cancers[J]. Cancer Chemother Pharmacol, 2016, 78(3): 633-641. |
| 17 | Kushlinskii NE, Gershtein ES, Nikolaev AA, et al. Insulin-like growth factors (IGF), IGF-binding proteins (IGFBP), and vascular endothelial growth factor (VEGF) in blood serum of patients with colorectal cancer[J]. Bull Exp Biol Med, 2014, 156(5): 684-688. |
| 18 | Yu H, Mistry J, Nicar MJ, et al. Insulin-like growth factors (IGF-I, free IGF-I, and IGF-II) and insulin-like growth factor binding proteins (IGFBP-2, IGFBP-3, IGFBP-6, and ALS) in blood circulation[J]. J Clin Lab Anal, 1999, 13(4): 166-172. |
| 19 | Horwich TB, Fonarow GC, Clark AL. Obesity and the obesity paradox in heart failure[J]. Prog Cardiovasc Dis, 2018, 61(2): 151-156. |
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