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1.
Anticancer Res ; 42(7): 3569-3573, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1924869

ABSTRACT

BACKGROUND/AIM: The COVID-19 pandemic highlighted the need to develop tools prioritizing high risk patients for urgent evaluation. Our objective was to determine whether Glasgow Prognostic Score (GPS), an inflammation-based score, can predict higher grade and stage urothelial bladder cancer in patients with gross hematuria who need urgent evaluation. PATIENTS AND METHODS: We analyzed a database of 129 consecutive patients presenting with gross hematuria. GPS was calculated using pretreatment C-reactive protein (CRP) and albumin levels. Patients with bacteriuria or other known malignancies were excluded. The relationship between GPS and final diagnosis was analyzed with multivariate logistic regression. RESULTS: A total of 101 patients were included in the study and 24 patients were identified without any pathology and 77 with a bladder tumor. Pathology demonstrated 21 with muscle invasive, 18 with high grade non-muscle invasive, and 38 with low grade superficial bladder cancer. Twenty-six of 39 (67%) patients with high grade tumors had a GPS of 1 or 2 compared to only 8 out of 62 (13%) patients with either low grade or negative findings (p<0.0001). Ten of 21 (48%) patients with muscle invasive disease had a GPS of 2 compared to 1 out of 18 (6%) with high grade non muscle invasive tumors (p=0.04). On multivariate analysis, GPS was a strong independent predictor of high grade and stage bladder cancer. CONCLUSION: GPS may serve as a highly accessible predictor of high grade, high stage, and large urothelial bladder tumors at the time of initial evaluation and can help identify patients who need urgent evaluation.


Subject(s)
COVID-19 , Carcinoma, Transitional Cell , Urinary Bladder Neoplasms , Carcinoma, Transitional Cell/pathology , Hematologic Tests , Hematuria , Humans , Pandemics , Urinary Bladder Neoplasms/pathology
3.
Urol Oncol ; 39(1): 73.e1-73.e8, 2021 01.
Article in English | MEDLINE | ID: covidwho-696635

ABSTRACT

OBJECTIVE: Image guided biopsies are an integral part of prostate cancer evaluation. The effect of delaying biopsies of suspicious prostate mpMRI lesions is uncertain and clinically relevant during the COVID-19 crisis. We evaluated the association between biopsy delay time and pathologic findings on subsequent prostate biopsy. MATERIALS AND METHODS: After obtaining IRB approval we reviewed the medical records of 214 patients who underwent image-guided transperineal fusion biopsy of the prostate biopsy between 2017 and 2019. Study outcomes included clinically significant (ISUP grade group ≥2) and any prostate cancer on biopsy. Logistic regression was used to evaluate the association between biopsy delay time and outcomes while adjusting for known predictors of cancer on biopsy. RESULTS: The study cohort included 195 men with a median age of 68. Median delay between mpMRI and biopsy was 5 months, and 90% of patients had a ≤8 months delay. A significant association was found between PI-RADS 5 lesions and no previous biopsies and shorter delay time. Delay time was not associated with clinically significant or any cancer on biopsy. A higher risk of significant cancer was associated with older age (P = 0.008), higher PSA (0.003), smaller prostate volume (<0.001), no previous biopsy (0.012) and PI-RADS 5 lesions (0.015). CONCLUSIONS: Our findings suggest that under current practice, where men with PI-RADS 5 lesions and no previous biopsies undergo earlier evaluation, a delay of up to 8 months between imaging and biopsy does not affect biopsy findings. In the current COVID-19 crisis, selectively delaying image-guided prostate biopsies is unlikely to result in a higher rate of significant cancer.


Subject(s)
COVID-19/epidemiology , Prostate/pathology , Time-to-Treatment , Aged , Humans , Image-Guided Biopsy , Logistic Models , Magnetic Resonance Imaging , Male , Middle Aged , Prostate/diagnostic imaging , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/pathology , Prostatic Neoplasms/surgery , Retrospective Studies , Risk Factors , SARS-CoV-2 , Time-to-Treatment/statistics & numerical data
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