Is the body mass index a predictor of adverse outcome in prostate cancer after radical prostatectomy in a mid-European study population?

2009 ◽  
Vol 103 (7) ◽  
pp. 877-882 ◽  
Author(s):  
Jesco Pfitzenmaier ◽  
Maria Pritsch ◽  
Axel Haferkamp ◽  
Hildegard Jakobi ◽  
Frederik Fritsch ◽  
...  
2010 ◽  
Vol 40 (4) ◽  
pp. 353-359 ◽  
Author(s):  
A. Komaru ◽  
N. Kamiya ◽  
H. Suzuki ◽  
T. Endo ◽  
M. Takano ◽  
...  

2010 ◽  
Vol 29 (5) ◽  
pp. 695-701 ◽  
Author(s):  
Dieuwertje E. G. Kok ◽  
Joep G. H. van Roermund ◽  
Katja K. Aben ◽  
Moniek W. M. van de Luijtgaarden ◽  
Herbert F. M. Karthaus ◽  
...  

2005 ◽  
Vol 4 (3) ◽  
pp. 10
Author(s):  
M. Meschke ◽  
M. Graefen ◽  
J. Walz ◽  
A. Haese ◽  
K.H.F. Chun ◽  
...  

2018 ◽  
Vol 37 (5) ◽  
pp. 789-798 ◽  
Author(s):  
Michel Wissing ◽  
Simone Chevalier ◽  
Ginette McKercher ◽  
Claudie Laprise ◽  
Saro Aprikian ◽  
...  

2021 ◽  
pp. 1-8
Author(s):  
Matteo Ferro ◽  
Daniela Terracciano ◽  
Gennaro Musi ◽  
Ottavio de Cobelli ◽  
Mihai Dorin Vartolomei ◽  
...  

<b><i>Introduction:</i></b> The association between obesity and clinically significant prostate cancer (PCa) is still a matter of debate. In this study, we evaluated the effect of body mass index (BMI) on the prediction of pathological unfavorable disease (UD), positive surgical margins (PSMs), and biochemical recurrence (BCR) in patients with clinically localized (≤cT2c) International Society of Urological Pathology (ISUP) grade group 1 PCa at biopsy. <b><i>Methods:</i></b> 427 patients with ISUP grade group 1 PCa who have undergone radical prostatectomy and BMI evaluation were included. The outcome of interest was the presence of UD (defined as ISUP grade group ≥3 and pT ≥3a), PSM, and BCR. <b><i>Results:</i></b> Statistically significant differences resulted in comparing BMI with prostate-specific antigen (PSA) and serum testosterone levels (both <i>p</i> &#x3c; 0.0001). Patients with UD and PSM had higher BMI values (<i>p</i> &#x3c; 0.0001 and <i>p</i> = 0.006, respectively). BCR-free survival was significantly decreased in patients with higher BMI values (<i>p</i> &#x3c; 0.0001). BMI was an independent risk factor for BCR and PSM. Receiver-operating characteristic analysis testing PSA accuracy in different BMI groups, showed that PSA had a reduced predictive value (area under the curve [AUC] = 0.535; 95% confidence interval [CI] = 0.422–0.646), in obese men compared to overweight (AUC = 0.664; 95% CI = 0.598–0.725) and normal weight patients (AUC = 0.721; 95% CI = 0.660–0.777). <b><i>Conclusion:</i></b> Our findings show that increased BMI is a significant predictor of UD and PSM at RP in patients with preoperative low-to intermediate-risk diseases, suggesting that BMI evaluation may be useful in a clinical setting to identify patients with favorable preoperative disease characteristics harboring high-risk PCa.


2012 ◽  
Vol 187 (4S) ◽  
Author(s):  
Shintaro Narita ◽  
Koji Mitsuzuka ◽  
Takahiro Yoneyama ◽  
Sadafumi Kawamura ◽  
Yoichi Arai ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Abhishek Bose ◽  
Parag A Chevli ◽  
Zeba Hashmath ◽  
Ajay K Mishra ◽  
Gregory Berberian ◽  
...  

Introduction: Cryoballoon ablation (CBA) is recommended for patients with paroxysmal atrial fibrillation (AF) refractory to anti-arrhythmic drugs. However, only 70% of patients benefit from an initial CBA. Obesity is a known risk factor for development of AF but its role in predicting outcomes following CBA for paroxysmal AF remains unclear. Methods: We followed 103 patients (Age 60.6 ± 9.1, 29% women) with paroxysmal AF undergoing CBA for one year post procedure. Recurrence was assessed by documented atrial arrhythmias (AA) on EKG or any form of long-term cardiac rhythm monitoring. Using the body mass index (BMI) as a surrogate marker for obesity, we divided patients into five groups: normal <24.9 kg/m 2 , overweight 25-29.9 kg/m 2 , class 1 obesity 30-34.9 kg/m 2 , class 2 obesity 35-39.9 kg/m 2 and class 3 obesity ≥40 kg/m 2 . A multivariable cox proportional hazard model was used to assess if BMI predicted risk of AA recurrence. Results: Among our study population, 7 (6.7%) had normal BMI and 34 were overweight (33%) while 17 (16.5%), 14 (13.5%) and 8 patients (7.7%) were categorized as class 1, 2 and 3 obesity respectively. After a one year follow up, 19 (18.4%) participants developed recurrence of AA. Baseline demographics were similar between the two groups except for a higher incidence of hypertension in the class 3 obesity group. On a multivariable model adjusted for baseline demographics and risk factors for AF, neither obesity nor overweight predicted recurrence of AA following CBA (Table, p=0.18). Similarly, on Kaplan-Meier analysis, BMI did not effect time to first recurrence of AA (Figure, p=0.07). Conclusion: Obesity is strongly associated with the risk of development of AF. However, in our study population increasing BMI had no influence on the recurrence of AA following CBA for paroxysmal AF.


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