OBJECTIVE: To evaluate the predictive accuracy of different methodologies for selecting a basal FSH threshold level that prognosticates live birth after IVF. DESIGN: Retrospective. SETTING: Academic private practice. PATIENT(S): Eight thousand nineteen patients who had their basal FSH levels determined by the program's endocrinology laboratory. INTERVENTION(S): Thresholds between normal and elevated basal FSH levels were calculated by using six different methodologies. MAIN OUTCOME MEASURE(S): Live birth rate per initiated IVF cycle. RESULT(S): The thresholds selected by using the manufacturer's normal range or using 95% confidence intervals of a fertile population, the infertile population, or distinct age groups within the infertile population all proved unsatisfactory. The live birth rates for patients in whom there had been a previously elevated FSH level were <or=43.7%. The efficiency curves that were created for each of the five age groups were the most useful. With appropriately selected thresholds, the predictive value of an abnormal result approaches 100%. CONCLUSION(S): The methodology used to select thresholds for basal FSH levels has enormous impact on the utility of the screening test. The use of anything other than clinical outcome-based methods to select the threshold greatly decreases the utility of the test and may lead to false conclusions or inaccurate patient counseling.
OBJECTIVE: To evaluate the predictive accuracy of different methodologies for selecting a basal FSH threshold level that prognosticates live birth after IVF. DESIGN: Retrospective. SETTING: Academic private practice. PATIENT(S): Eight thousand nineteen patients who had their basal FSH levels determined by the program's endocrinology laboratory. INTERVENTION(S): Thresholds between normal and elevated basal FSH levels were calculated by using six different methodologies. MAIN OUTCOME MEASURE(S): Live birth rate per initiated IVF cycle. RESULT(S): The thresholds selected by using the manufacturer's normal range or using 95% confidence intervals of a fertile population, the infertile population, or distinct age groups within the infertile population all proved unsatisfactory. The live birth rates for patients in whom there had been a previously elevated FSH level were <or=43.7%. The efficiency curves that were created for each of the five age groups were the most useful. With appropriately selected thresholds, the predictive value of an abnormal result approaches 100%. CONCLUSION(S): The methodology used to select thresholds for basal FSH levels has enormous impact on the utility of the screening test. The use of anything other than clinical outcome-based methods to select the threshold greatly decreases the utility of the test and may lead to false conclusions or inaccurate patient counseling.
Authors: Kate Devine; Sunni L Mumford; Mae Wu; Alan H DeCherney; Micah J Hill; Anthony Propst Journal: Fertil Steril Date: 2015-06-11 Impact factor: 7.329
Authors: Lori R Bernstein; Amelia C L Mackenzie; Se-Jin Lee; Charles L Chaffin; István Merchenthaler Journal: Endocrinology Date: 2015-12-29 Impact factor: 4.736
Authors: Sunny H Jun; Bokyung Choi; Lora Shahine; Lynn M Westphal; Barry Behr; Renee A Reijo Pera; Wing H Wong; Mylene W M Yao Journal: PLoS One Date: 2008-07-02 Impact factor: 3.240