Literature DB >> 21574152

Effect of age, family history of prostate cancer, prostate enlargement and seasonality on PSA levels in a contemporary cohort of healthy Italian subjects.

Angelo Naselli1, Vincenzo Fontana, Carlo Introini, Rossana Andreatta, Paolo Puppo.   

Abstract

We assessed the joint effect of age at enrollment, age at follow-up, family history of prostate cancer, prostate enlargement and seasonality on prostate-specific antigen (PSA) estimated through log-normal mixed-effects modeling in an Italian cohort of healthy, 45- to 65-year-old subjects over a 4-year period. The median ratio was used as the measure of effect. Median and mean baseline PSA were 0.78 (interquartile range: 0.41-1.50) and 1.27 (95% CI: 1.19-1.35) ng/mL, respectively. A similar median annual increase of 5.7% (95% CI: 4.8%-6.5%) was found for age at enrollment and age at follow-up. Individuals with moderate to severe prostate enlargement had a median PSA ratio of 1.040 (95% CI: 0.919-1.176) and 1.318 (95% CI: 1.128-1.539), respectively. Median ratios of 1.200 (95% CI: 0.026-1.404) and 1.300 (95% CI: 0.915-1.845), respectively, were computed for subjects with only one or more than one prostate-cancer-affected relatives. Regarding seasonality, the highest value was shown in summertime, the lowest in wintertime, and the resulting median ratio was 1.280 (95% CI: 1.117-1.468). Irrespective of age, baseline PSA was in most cases about 1.00 ng/mL with a yearly median variation of about 5% over a 4-year period. Indeed, prostate enlargement, prostate cancer family history and seasonality showed a remarkable impact on PSA measurement. This should be considered when counseling patients with a PSA history.

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Year:  2011        PMID: 21574152     DOI: 10.5301/JBM.2011.8316

Source DB:  PubMed          Journal:  Int J Biol Markers        ISSN: 0393-6155            Impact factor:   2.659


  2 in total

1.  Relationship between prostate-specific antigen levels and ambient temperature.

Authors:  Kazuhiro Ohwaki; Fumiyasu Endo; Kazunori Hattori; Osamu Muraishi
Journal:  Int J Biometeorol       Date:  2013-05-10       Impact factor: 3.787

2.  Investigating the prostate specific antigen, body mass index and age relationship: is an age-BMI-adjusted PSA model clinically useful?

Authors:  Sean Harrison; Kate Tilling; Emma L Turner; J Athene Lane; Andrew Simpkin; Michael Davis; Jenny Donovan; Freddie C Hamdy; David E Neal; Richard M Martin
Journal:  Cancer Causes Control       Date:  2016-11-09       Impact factor: 2.506

  2 in total

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