TY - JOUR
T1 - The relationship between prostate volume and prostate-specific antigen variability
T2 - Data from the Baltimore Longitudinal Study of Aging and the Johns Hopkins Active Surveillance Program
AU - Nichols, John H.
AU - Loeb, Stacy
AU - Metter, E. Jeffrey
AU - Ferrucci, Luigi
AU - Carter, H. Ballentine
PY - 2012/5
Y1 - 2012/5
N2 - OBJECTIVE: • To clarify the relationship between serial prostate-specific antigen (PSA) variability and prostate volume in both cancer-free participants from the Baltimore Longitudinal Study of Aging (BLSA) and patients with low-risk prostate cancer from the Johns Hopkins Active Surveillance Program (AS). MATERIALS AND METHODS: • In all, 287 men from the BLSA and 131 patients from the AS were included in the analysis, all with at least two PSA measurements and concurrent prostate volume measurements. • PSA variability was calculated in ng/mL per year, and a linear mixed-effects model was used to determine the relative effects of prostate volume, baseline PSA and age on PSA change over time. RESULTS: • In a model with prostate volume, age and baseline PSA, there was no significant relationship between prostate volume and PSA variability (BLSA, P = 0.57; AS, P = 0.49). • Only baseline PSA showed a significant relationship to PSA yearly variability (PSAYV) (P < 0.001). Specifically, a one unit higher baseline PSA (ng/mL) corresponded on average to 0.09 and 0.06 ng/mL per year higher PSAYV in the BLSA and AS populations, respectively. CONCLUSIONS: • The results of the present study suggest that the primary driver of PSA variability is the baseline PSA level, rather than prostate volume. • Clinicians might consider the baseline PSA level to help predict the expected variability in serial PSA measurements.
AB - OBJECTIVE: • To clarify the relationship between serial prostate-specific antigen (PSA) variability and prostate volume in both cancer-free participants from the Baltimore Longitudinal Study of Aging (BLSA) and patients with low-risk prostate cancer from the Johns Hopkins Active Surveillance Program (AS). MATERIALS AND METHODS: • In all, 287 men from the BLSA and 131 patients from the AS were included in the analysis, all with at least two PSA measurements and concurrent prostate volume measurements. • PSA variability was calculated in ng/mL per year, and a linear mixed-effects model was used to determine the relative effects of prostate volume, baseline PSA and age on PSA change over time. RESULTS: • In a model with prostate volume, age and baseline PSA, there was no significant relationship between prostate volume and PSA variability (BLSA, P = 0.57; AS, P = 0.49). • Only baseline PSA showed a significant relationship to PSA yearly variability (PSAYV) (P < 0.001). Specifically, a one unit higher baseline PSA (ng/mL) corresponded on average to 0.09 and 0.06 ng/mL per year higher PSAYV in the BLSA and AS populations, respectively. CONCLUSIONS: • The results of the present study suggest that the primary driver of PSA variability is the baseline PSA level, rather than prostate volume. • Clinicians might consider the baseline PSA level to help predict the expected variability in serial PSA measurements.
KW - PSA
KW - PSA variability
KW - Prostate volume
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UR - http://www.scopus.com/inward/citedby.url?scp=84859830101&partnerID=8YFLogxK
U2 - 10.1111/j.1464-410X.2011.10663.x
DO - 10.1111/j.1464-410X.2011.10663.x
M3 - Article
C2 - 22093443
AN - SCOPUS:84859830101
SN - 1464-4096
VL - 109
SP - 1304
EP - 1308
JO - BJU International
JF - BJU International
IS - 9
ER -