Which Obesity Index Best Correlates With Prostate Volume, Prostate-specific Antigen, and Lower Urinary Tract Symptoms?
ABSTRACT To determine which measurement variable, waist circumference (WC), body mass index (BMI), or waist-to-hip ratio (WHR) is most closely related to the prostate volume (PV), prostate-specific antigen (PSA), and lower urinary tract symptoms (LUTS).
Between January 2010 and September 2011, 1632 consecutive ostensibly healthy Korean men aged 40-69 years who visited our clinic for a prostate checkup were enrolled into the study. Exclusion criteria included pyuria, history of lower urinary tract disorder influencing urination, and a high PSA level of >3.0 ng/mL. All men underwent a detailed clinical evaluation using the International Prostate Symptom Score (I-PSS) questionnaire. Anthropometric measurements were determined. Serum PSA, urinalysis, and transrectal ultrasound were also performed.
Data from 1601 men were analyzed. The mean age was 51.6 years, WC 83.7 cm, BMI 24.8 kg/m(2), PV 24.6 mL, and the mean PSA level was 1.07 ng/mL. Using multivariate analysis, PV most positively associated with WC (P < .001), while PSA level had negatively associated with BMI (P = .036) and no significant association with WC or WHR was noted. There was no significant relationship between various obesity indexes and I-PSS.
Our data showed that PV positively associated with central obesity, as represented by WC. In contrast, serum PSA negatively associated with BMI, which represented overall obesity (ie, hemodilution). Our data also suggested that obesity is not associated with lower urinary tract symptoms in Korean men.
- SourceAvailable from: Ahmed M Elshal
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- "In addition, recently the metabolic syndrome and obesity have been shown to influence both PSA levels and PV to a great extent    . Therefore , it was suggested that for an accurate estimation of PV, PSA measurements and obesity indices should be included  . TRUS-based measurements of PV have shown a strong correlation with resected tissue weight (RTW)  , as during TURP only adenomatous tissue is resected. "
ABSTRACT: To determine the use of the prostate specific antigen (PSA) level and digital rectal examination (DRE) findings to estimate the resected tissue weight (RTW) before transurethral resection of the prostate (TURP). We retrospectively analysed 983 patients who underwent TURP between December 2006 and December 2012. The primary outcome was the RTW required for clinical improvement, and was not associated with re-intervention. Age, PSA level, body mass index (BMI) and DRE findings were correlated and modelled with the RTW. The DRE result was defined as DREa (small vs. large) or DREb (small vs. moderate vs. large) according to the surgeon's report. Equations to calculate RTW were developed and tested using receiver operating characteristic (ROC) curve analyses. There were significant correlations between PSA level (r = 0.4, P < 0.001) and RTW, whilst BMI and age showed weak correlations. The median (range) RTW was 45 (7-60) vs. 15 (6-60) g for small vs. large prostates (DREa) (P < 0.001), respectively. Similarly, the median (range) RTW was 11 (6-59) vs. 26.2 (6-60) vs. 42 (7-60) g in small vs. moderate vs. large prostates (DREb) (P < 0.001), respectively. Using PSA level and DREb (model 3) there was a significantly better ability to estimate RTW than using PSA and DREa (model 2) or PSA alone (model 1) based on ROC curve analyses. The equation developed by model 3 (RTW = 1.2 + (1.13 × PSA) + (DREb × 9.5)) had a sensitivity and specificity of 82% and 71% for estimating a RTW of >30 g, and 84% and 63% for estimating a RTW of >40 g, respectively. The PSA level and DRE findings can be used to predict the RTW before TURP.11/2014; 12(4). DOI:10.1016/j.aju.2014.09.006
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ABSTRACT: BACKGROUND: Few studies examined the relationship between obesity and urinary tract infection (UTI), showing inconsistent results. This study aims to examine the association between obesity and UTI, and to assess whether this association is independent of diabetes mellitus and 25(OH)D level. METHODS: Using the computerized database of the largest healthcare provider in Israel, we identified a cohort of subjects ≥18years old with available BMI and serum 25(OH)D level measurements between January 2009 and December 2009. The cohort was followed for the first UTI diagnosis from January 2010 through June 2011. Cox proportional hazard model was used to test the relationship between obesity and UTI. RESULTS: During follow-up, 25,145/110,736 (22.7%) females, and 4032/42,703 (9.4%) males had UTI. The crude HR for UTI in those with BMI≥50 compared to BMI<25 was 2.54 (95% CI, 1.50-4.30) in males and 1.39 (1.14-1.69) in females. After adjusting for age, 25(OH)D level, and history of diabetes mellitus, the HR for UTI in those with BMI≥50 compared to BMI<25 was 2.38 (1.40-4.03) in males and 1.25 (1.03-1.52) in females. The HR for those in the lowest quartile of serum 25(OH)D compared to the highest quartile was 1.23 (1.13-1.35) in males and 0.98 (0.95-1.02) in females. The HR for subjects with diabetes was 1.23 (1.16-1.32) in males, and 1.25 (1.20-1.28) in females. CONCLUSIONS: Obesity is independently associated with UTI particularly in males. Low serum 25(OH)D levels are associated with increased risk of UTI in males.European Journal of Internal Medicine 11/2012; 24(2). DOI:10.1016/j.ejim.2012.11.006 · 2.30 Impact Factor
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ABSTRACT: To evaluate the associations between body mass index (BMI) and prostate volume (PV) and lower urinary tract symptoms in a multiethnic cohort. A cohort of men without prostate cancer seen at our institution was assembled, excluding those with previous transurethral resection of the prostate. Height and weight were measured to compute BMI, PV was measured by transrectal ultrasound, and the International Prostate Symptom Score (IPSS) questionnaire was administered. After stratified bivariate analyses, multiple linear regression and ordinal logistic regression models were used to assess the independent effect of BMI on PV and IPSS, respectively. The cohort included 1613 patients, and mean BMI was 27.1 kg/m(2). Patients with a BMI of <25.0, 25.0-29.9, and 30.0-34.9 had a median PV of 44.0 mL, 48.0 mL, and 52.0 mL, respectively. The African ethnicity subgroup generally had larger median PVs than European and Asian subgroups and had the largest differences in median PV between normal and obese men. There were no significant differences in IPSS or usage of benign prostatic hyperplasia medications between BMI categories. In multivariable analyses, higher BMI was associated with larger PV (P <.001) but not IPSS (P = .91). On the basis of our model, given a PV of 40 mL, 50 mL, and 60 mL, each 5 kg/m(2) increase in BMI was associated with a 2.19 mL, 2.74 mL, and 3.29 mL increase in PV, respectively. Body weight (P <.001) but not height (P = .13) was associated with PV. Higher BMI is associated with larger PV but not worse lower urinary tract symptoms (measured using IPSS). Usage rate of alpha blockers or 5 alpha reductase inhibitors was not significantly different between BMI categories.Urology 09/2013; 83(1). DOI:10.1016/j.urology.2013.07.039 · 2.13 Impact Factor