Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Database
Language
Document Type
Year range
1.
BJUI Compass ; 3(4): 298-303, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1739124

ABSTRACT

Objective: To assess the influence of COVID-19-imposed life changes on presentation and outcomes of patients with obstructing urinary stones complicated by infection. Patients and methods: All patients presenting with obstructing urinary stones and infection 1 year before the pandemic (March 2019 to February 2020; n = 66) and 1 year since its onset (March 2020 to February 2021; n = 45) were enrolled. Demographics, clinical presentation, laboratory panel, stone characteristics and outcomes were compared between groups. Univariate and multivariate logistic regression models were performed for analysis. Results: The COVID-19 period was characterised by younger patients, female predominance, higher temperature at presentation and more bilateral obstructing stones (p < 0.05). The admission rate to intensive care units was double that of the pre-pandemic period, whereas time between diagnosis and treatment was similar. The univariate analysis revealed higher rates of severe sepsis (odds ratio [OR] = 3, p = 0.01), systemic inflammatory response syndrome (SIRS) ≥ 2 (OR = 2.9, p = 0.01) and risk, injury, failure, loss of kidney function and end-stage kidney (RIFLE) criteria ≥ 1 (OR = 2.2, p = 0.04) in the pandemic period group. The multivariate analyses revealed the COVID-19 period as being the sole variable associated with severe sepsis (OR = 3.1, p = 0.02), SIRS ≥ 2 (OR = 3.8, p = 0.005) and RIFLE ≥ 1 (OR = 2.6, p = 0.05). Conclusions: The pandemic period was characterised by a worse clinical state at presentation of patients with obstructing urinary stones complicated by infection, probably reflecting delay in arrival to emergency services.

2.
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
SELECTION OF CITATIONS
SEARCH DETAIL