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BACKGROUND: Recently a possible link between elevated Chromogranin A (CgA) levels and poorly differentiated prostate cancer has been proposed. The aim of our study was to explore the association of CgA levels and the risk of poorly differentiated prostate cancer (PCa) in men undergoing radical retropubic prostatectomy (RRP). MATERIALS AND METHODS: From 2012 onwards, 335 consecutive men undergoing RRP for PCa at three centers in Italy were enrolled into a prospective database. Body mass index (BMI) was calculated before RRP. Blood samples were collected and tested for total prostate-specific antigen (PSA) levels and chromogranin A (CgA). We evaluated the association between serum levels of CgA and upstaging and upgrading using logistic regression analyses. RESULTS: Median age and preoperative PSA levels were 65 years (interquartile range [IQR]: 60-69) and 7.2 ng/ml (IQR: 5.3-10.4), respectively. Median BMI was 26.1 kg/m2 (IQR: 24-29) with 56 (16%) obese (BMI ≥ 30 kg/m2 ). Median CgA levels were 51 (39/71). Overall, 129/335 (38,5%) presented an upstaging, and 99/335 (30%) presented an upgrading. CgA was not a predictor of upstaging or upgrading on RP. CONCLUSIONS: In our multicenter cohort of patients, CgA is not a predictor of poorly differentiated PCa on radical prostatectomy. According to our experience, CgA should not be considered a reliable marker to predict poorly differentiated or advanced prostate cancer.
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Antígeno Prostático Específico , Neoplasias de la Próstata , Anciano , Cromogranina A , Cromograninas , Humanos , Masculino , Estadificación de Neoplasias , Prostatectomía/métodos , Neoplasias de la Próstata/patologíaRESUMEN
Recent data suggest that greater ureteral density distal to ureteral stones or increased ureteral wall thickness (UWT) can predict impacted stones. The aim of our study was to evaluate if patients with residual fragments present with greater ureteral density and larger UWT when compared to stone-free patients. From January onward, a consecutive series of patients undergoing semi rigid Ho:YAG laser ureterolithotripsy (ULT) for ureteral stones were enrolled. A non-contrast enhanced computed tomography (CT) scan was performed before the procedure to evaluate distal ureteral density (DUD) and wall ureteral thickness (UWT) at the site of ureteral stones. Patients with residual fragments were compared to stone-free patients using a matched-pair analysis (1:1 scenario). Cases were matched sequentially using the following criteria: age, gender, body mass index (BMI), stone length, hydronephrosis, location of stones, and mean Hounsfield unit (HU) of the stone. Overall, 160 patients were enrolled, mean age was 57.9 ± 14 years, mean BMI was 25.8 ± 4 kg/m2, mean length of the stone was 10.6 ± 4.9 mm, and mean UWT was 1.4 ± 1.6 mm. A total of 150/160 (94%) patients presented hydronephrosis; mean HU stone was 868 ± 327; mean DUD was 54 ± 17.8 HU. Ureteral distal density (51.7 vs 56.6; p = 0.535) and ureteral distal thickness (1.39 vs 1.54; p = 0.078) were similar in both groups of patients. In our study, the evaluation of distal ureteral density does not predict stone-free rate. Further studies should evaluate the role for preoperative computer tomography in predicting surgery outcome.
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Hidronefrosis , Láseres de Estado Sólido , Litotricia , Uréter , Cálculos Ureterales , Humanos , Adulto , Persona de Mediana Edad , Anciano , Láseres de Estado Sólido/uso terapéutico , Uréter/diagnóstico por imagen , Cálculos Ureterales/diagnóstico por imagen , Cálculos Ureterales/terapia , Índice de Masa Corporal , Resultado del TratamientoAsunto(s)
Enfermedades Cardiovasculares , Neoplasias de la Próstata , Humanos , Masculino , Enfermedades Cardiovasculares/inducido químicamente , Enfermedades Cardiovasculares/epidemiología , Factores de Riesgo , Neoplasias de la Próstata/tratamiento farmacológico , Hormona Liberadora de Gonadotropina , Factores de Riesgo de Enfermedad CardiacaRESUMEN
BACKGROUND: Drugs may have a direct causative role in triggering hematuria. The range of medications which may be responsible for hematuria is wide, but little is known on those which are most frequently involved. The aim of our study was to identify and compare drugs mostly related with hematuria. METHODS: The Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database and the EudraVigilance (EV) database were queried to identify the drugs which were associated the most with hematuria individual reports till 30 September 2021. Rivaroxaban, aspirin, warfarin sodium, clopidogrel bisulfate, dabigatran etexilate mesylate, apixaban, warfarin, cyclophosphamide, lansoprazole, enoxaparin sodium, and ibuprofen were analyzed. Analysis per gender, age and severity was performed. Disproportional analysis was performed to compare drugs. RESULTS: Overall, 15,687 reports of hematuria were recorded in the FDA database and 15 007 in the EV database. Rivaroxaban and Warfarin appear to be the most dangerous medications in terms of hematuria when compared to the other medications (PRR>1, P<0.05) while apixaban is the safest one (PRR<1, P<0.05) when compared to the other medications. In terms of severity only 162/15 007 (1.08%) were fatal. Between the drugs analyzed cyclophosphamide 7.2%, enoxaparin (3%) and dabigatran (2.5%) presented a higher number of fatal hematuria episodes when compared to the other drugs (<1%). CONCLUSIONS: Anticoagulants and antiplatelets are more frequently related to hematuria episodes however some differences exist between them. Particularly warfarin and rivaroxaban should be prescribed with caution in patients at increased risk of hematuria. Prescribers should inform those treated with these medications about the risk of hematuria and its sequelae.
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Hematuria , Rivaroxabán , Estados Unidos/epidemiología , Humanos , Hematuria/inducido químicamente , Hematuria/epidemiología , Farmacovigilancia , United States Food and Drug Administration , Warfarina , Ciclofosfamida , DabigatránRESUMEN
Chat-GPT, a natural language processing (NLP) tool created by Open-AI, can potentially be used as a quick source for obtaining information related to prostate cancer. This study aims to analyze the quality and appropriateness of Chat-GPT's responses to inquiries related to prostate cancer compared to those of the European Urology Association's (EAU) 2023 prostate cancer guidelines. Overall, 195 questions were prepared according to the recommendations gathered in the prostate cancer section of the EAU 2023 Guideline. All questions were systematically presented to Chat-GPT's August 3 Version, and two expert urologists independently assessed and assigned scores ranging from 1 to 4 to each response (1: completely correct, 2: correct but inadequate, 3: a mix of correct and misleading information, and 4: completely incorrect). Sub-analysis per chapter and per grade of recommendation were performed. Overall, 195 recommendations were evaluated. Overall, 50/195 (26%) were completely correct, 51/195 (26%) correct but inadequate, 47/195 (24%) a mix of correct and misleading and 47/195 (24%) incorrect. When looking at different chapters Open AI was particularly accurate in answering questions on follow-up and QoL. Worst performance was recorded for the diagnosis and treatment chapters with respectively 19% and 30% of the answers completely incorrect. When looking at the strength of recommendation, no differences in terms of accuracy were recorded when comparing weak and strong recommendations (p > 0,05). Chat-GPT has a poor accuracy when answering questions on the PCa EAU guidelines recommendations. Future studies should assess its performance after adequate training.
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The aim of our study is to review the current available knowledge regarding preferences and expectations of patients with overactive bladder (OAB). The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement guidelines were followed for this manuscript's preparation. Three online databases were searched: PubMed/Medline, Embase, and Scopus, while a combination of the following keywords was used: detrusor overactivity, overactive bladder, urinary incontinence, perspectives, expectations, and preferences. Overall, 1349 studies were retrieved and screened while only 10 studies appeared to be relevant for the scope of this review. Most of the studies were related to preferences about OAB medications (i.e., antimuscarinics); four of them reported patients' inclinations to alternative treatments in the case of medication therapy failure (i.e., neuromodulation, Botox). No data were found about diagnosis or other aspects of disease management (i.e., surgery, follow-up). Based on these findings, from the patient's point of view, the ideal medication should be cheap, without risk of cognitive function impairment, and able to reduce daytime urinary frequency and incontinence episodes.
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BACKGROUND: Stent encrustation is an uncommon event (13%) with a significant impact in patients' management. Aim of our study was to evaluate the available grading systems for encrusted stents. METHODS: A retrospective analysis of encrusted stents was performed in four Italian centers between 2006 and 2020. Encrusted stents were classified according to four classifications: the Forgotten Encrusted Calcificated (FECal) Score, the Kidney Ureter Bladder (KUB) Score, the Visual Grading for Ureteral Encrusted Stent Classification and the Encrustation Burden Score (EBS). Classifications were evaluated to predict complex surgery defined as: long operative time (>60 min), need of more than one surgery, and need of a percutaneous approach. The scores were compared with receiver operating characteristic (ROC) analysis as predictors of complex surgery. RESULTS: Seventy-seven patients were evaluated with a median age of 62 years (65/70). Overall FECal score >2 was present in 45/77 (58%) patients, median KUB score was 9 (6/14) and severe EBS was found in 47/77 (63%) patients. Patients were managed with cyst lithotripsy in 13/77 (17%), with ureteroscopy in 58/77 (75%) and with percutaneous nephrolithotomy (PCNL) in 6/77 (8%). Overall, 6/77 (8%) patients required a second intervention to remove the encrusted stent. All classifications predicted the need of complex surgery. On ROC analysis KUB score presented a better accuracy in predicting complex surgery compared to FECal, V-GUES and encrusted burden. CONCLUSIONS: KUB score, FECal score, V-GUES score, and encrustation burden accurately predict the need of a complex surgery. KUB showed to be superior to other classifications according to our results.