Publications by authors named "N Longo"

Objectives: It is not known whether cancer-specific mortality (CSM) differences distinguish radical cystectomy (RC) from trimodal therapy (TMT) in octogenarians harbouring organ-confined (T2N0M0) urothelial cancer of the urinary bladder (UCUB).

Methods: Within the Surveillance, Epidemiology, and End Results database (2004-2021), CSM and other-cause mortality (OCM) rates were computed in octogenarian patients with organ-confined UCUB undergoing either TMT or RC. Smoothed cumulative incidence plots depicted 5-year CSM and OCM rates according to RC vs TMT.

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Purpose: Temporal trends in and predictors of inpatient palliative care use in patients with metastatic renal cell carcinoma (mRCC) undergoing critical care therapy are unknown.

Methods: Relying on the National Inpatient Sample (2008-2019), we identified mRCC patients undergoing critical care therapy, namely invasive mechanical ventilation, percutaneous endoscopic gastrostomy tube insertion, dialysis for acute kidney failure, total parenteral nutrition, or tracheostomy. Estimated annual percentage changes (EAPC) analyses and multivariable logistic regression models addressed inpatient palliative care use.

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Objective: This study aimed to compare adverse in-hospital outcomes in ileal conduit versus neobladder urinary diversion type after radical cystectomy (RC) in contemporary versus historical patients.

Methods: Patients were identified within the National Inpatient Sample (NIS 2000-2019). Propensity score matching (PSM; 1:2 ratio) and multivariable logistic regression models (LRMs) were used.

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Background: Perioperative complication rates and in-hospital mortality after radical nephroureterectomy (RNU) in patients with a history of heart valve replacement are unknown.

Methods: Within the National Inpatient Sample (2000-2019), we identified non-metastatic upper urinary tract carcinoma patients treated with RNU according to the presence or absence of a history of heart valve replacement. Propensity score matching (1:10 ratio) and multivariable logistic regression as well as Poisson regression models were used.

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