title: Using an algorithmic approach to secondary amenorrhea: Avoiding diagnostic error.
abstract: Secondary amenorrhea in women of reproductive age may be an indication of an undiagnosed, chronic condition and appropriate treatment is dependent upon accurate diagnosis of the underlying etiology. A thorough clinical assessment and a few common laboratory tests can easily identify the most frequent causes of secondary amenorrhea. However, once these have been ruled out, the more uncommon pathophysiologies can be difficult to diagnose due to similarities in presentation and appropriate laboratory testing and interpretation become critical. In these cases, misdiagnosis is unfortunately common and often the result of poor laboratory utilization in the form of a failure to employ indicated tests, the use of obsolete tests, or erroneous interpretation in the face of interfering factors or co-morbidities. Consequently, the algorithmic approach to laboratory evaluation in the context of secondary amenorrhea described in this review can minimize the risk of diagnostic error as well was decrease test volume, cost, and time to diagnosis.
authors.affiliation: Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, United States. tkrober@emory.edu
authors.forename: Tiffany K
authors.initials: TK
authors.lastname: Roberts-Wilson
authors.forename: Jessica B
authors.initials: JB
authors.lastname: Spencer
authors.forename: Corinne R
authors.initials: CR
authors.lastname: Fantz
mesh_terms: D000465:Algorithms; D000568:Amenorrhea / Q000175:diagnosis*; D003951:Diagnostic Errors; D005260:Female; D006801:Humans; D011247:Pregnancy