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Prediction of ovarian function in premenopausal breast cancer patients with amenorrhoea after chemotherapy: a simple clinical score.

Li XS, Lv Q, Du ZG, Chen J - Springerplus (2016)

Bottom Line: The ovarian function score (OFS) (P < 0.001; HR 48.00; CI 10.174-226.452) was obtained through a comprehensive analysis of these three variables, and it could more effectively predict ovarian function.According to receiver operating characteristic curve analysis, the OFS had the highest values compared with the other three variables (sensitivity, 94.6 %; specificity, 79.3 %).Ovarian function likely still exists if the OFS is ≤1.

View Article: PubMed Central - PubMed

Affiliation: Department of Thyroid and Breast Surgery, West China Hospital of Sichuan University, Guo xue Lane 37, Chengdu, China.

ABSTRACT
We evaluated a non-invasive method for predicting the ovarian function of premenopausal breast cancer patients with amenorrhoea after chemotherapy. A total of 34 patients had ovarian function, whereas 56 had no ovarian function. Logistic regression analysis indicated that age (P = 0.034; hazards ratio [HR], 0.29; confidence interval [CI], 0.091-0.910), follicle-stimulating hormone (P = 0.032; HR 0.97; CI 0.944-0.997) and oestradiol (P = 0.047; HR 1.01; CI 1.000-1.015) were independent influencing factors that determine ovarian function. The ovarian function score (OFS) (P < 0.001; HR 48.00; CI 10.174-226.452) was obtained through a comprehensive analysis of these three variables, and it could more effectively predict ovarian function. According to receiver operating characteristic curve analysis, the OFS had the highest values compared with the other three variables (sensitivity, 94.6 %; specificity, 79.3 %). The OFS is simple and easy to use; thus, it is expected to become a new method for determining drug-induced amenorrhoea in women with breast cancer. Ovarian function likely still exists if the OFS is ≤1.

No MeSH data available.


Related in: MedlinePlus

The ROC curve compare between estradiol, Follicle-Stimulating hormone, age, and ovarian function score
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Fig1: The ROC curve compare between estradiol, Follicle-Stimulating hormone, age, and ovarian function score

Mentions: After including the aforementioned variables, age (P = 0.034; hazards ratio [HR], 0.29; confidence interval [CI] 0.091–0.910), FSH (P = 0.032; HR 0.97; CI 0.944–0.997) and E2 (P = 0.047; HR 1.01; CI 1.000–1.015) were independent influencing factors that could determine ovarian function (Table 2). The risk of ovarian failure increased when the patient’s age was ≥40 years, the FSH level increased, and the E2 level decreased. ROC analysis showed that FSH ≤ 23.8 IU/L and E2 > 13.5 pg/mL are the maximum efficiency cut-off levels for a functional ovary. The ovarian function score (OFS) was created, with points assigned to different variables: age, ≥40 years = 1, <40 years = 0; FSH, >23.8 IU/L = 1, ≤23.8 IU/L = 0; E2, >13.5 pg/mL = 1, ≤13.5 pg/mL = 0; OFS = age + FSH-E2. Logistic regression analysis indicated that this new variable was associated with ovarian function (P < 0.001; HR 48.00; CI 10.174–226.452), and the ROC curve was generated. The OFS had the largest AUC (0.924) compared with the AUCs of the other four variables and was more discriminating than age (P < 0.001) and FSH level (P = 0.001). ROC analysis indicated that OFS ≤ 1 is the maximum efficiency score for predicting ovarian function (sensitivity, 94.59 %; specificity, 79.25 %) (Table 3; Fig. 1). Table 4 shows the status of age, FSH level, and E2 level when the ovaries were functional.Table 2


Prediction of ovarian function in premenopausal breast cancer patients with amenorrhoea after chemotherapy: a simple clinical score.

Li XS, Lv Q, Du ZG, Chen J - Springerplus (2016)

The ROC curve compare between estradiol, Follicle-Stimulating hormone, age, and ovarian function score
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4940309&req=5

Fig1: The ROC curve compare between estradiol, Follicle-Stimulating hormone, age, and ovarian function score
Mentions: After including the aforementioned variables, age (P = 0.034; hazards ratio [HR], 0.29; confidence interval [CI] 0.091–0.910), FSH (P = 0.032; HR 0.97; CI 0.944–0.997) and E2 (P = 0.047; HR 1.01; CI 1.000–1.015) were independent influencing factors that could determine ovarian function (Table 2). The risk of ovarian failure increased when the patient’s age was ≥40 years, the FSH level increased, and the E2 level decreased. ROC analysis showed that FSH ≤ 23.8 IU/L and E2 > 13.5 pg/mL are the maximum efficiency cut-off levels for a functional ovary. The ovarian function score (OFS) was created, with points assigned to different variables: age, ≥40 years = 1, <40 years = 0; FSH, >23.8 IU/L = 1, ≤23.8 IU/L = 0; E2, >13.5 pg/mL = 1, ≤13.5 pg/mL = 0; OFS = age + FSH-E2. Logistic regression analysis indicated that this new variable was associated with ovarian function (P < 0.001; HR 48.00; CI 10.174–226.452), and the ROC curve was generated. The OFS had the largest AUC (0.924) compared with the AUCs of the other four variables and was more discriminating than age (P < 0.001) and FSH level (P = 0.001). ROC analysis indicated that OFS ≤ 1 is the maximum efficiency score for predicting ovarian function (sensitivity, 94.59 %; specificity, 79.25 %) (Table 3; Fig. 1). Table 4 shows the status of age, FSH level, and E2 level when the ovaries were functional.Table 2

Bottom Line: The ovarian function score (OFS) (P < 0.001; HR 48.00; CI 10.174-226.452) was obtained through a comprehensive analysis of these three variables, and it could more effectively predict ovarian function.According to receiver operating characteristic curve analysis, the OFS had the highest values compared with the other three variables (sensitivity, 94.6 %; specificity, 79.3 %).Ovarian function likely still exists if the OFS is ≤1.

View Article: PubMed Central - PubMed

Affiliation: Department of Thyroid and Breast Surgery, West China Hospital of Sichuan University, Guo xue Lane 37, Chengdu, China.

ABSTRACT
We evaluated a non-invasive method for predicting the ovarian function of premenopausal breast cancer patients with amenorrhoea after chemotherapy. A total of 34 patients had ovarian function, whereas 56 had no ovarian function. Logistic regression analysis indicated that age (P = 0.034; hazards ratio [HR], 0.29; confidence interval [CI], 0.091-0.910), follicle-stimulating hormone (P = 0.032; HR 0.97; CI 0.944-0.997) and oestradiol (P = 0.047; HR 1.01; CI 1.000-1.015) were independent influencing factors that determine ovarian function. The ovarian function score (OFS) (P < 0.001; HR 48.00; CI 10.174-226.452) was obtained through a comprehensive analysis of these three variables, and it could more effectively predict ovarian function. According to receiver operating characteristic curve analysis, the OFS had the highest values compared with the other three variables (sensitivity, 94.6 %; specificity, 79.3 %). The OFS is simple and easy to use; thus, it is expected to become a new method for determining drug-induced amenorrhoea in women with breast cancer. Ovarian function likely still exists if the OFS is ≤1.

No MeSH data available.


Related in: MedlinePlus