| Online-Ressource |
Verfasst von: | Mayr, Roman [VerfasserIn]  |
| Gierth, Michael [VerfasserIn]  |
| Zeman, Florian [VerfasserIn]  |
| Reiffen, Marieke [VerfasserIn]  |
| Seeger, Philipp [VerfasserIn]  |
| Wezel, Felix [VerfasserIn]  |
| Pycha, Armin [VerfasserIn]  |
| Comploj, Evi [VerfasserIn]  |
| Bonatti, Matteo [VerfasserIn]  |
| Ritter, Manuel [VerfasserIn]  |
| van Rhijn, Bas W. G. [VerfasserIn]  |
| Burger, Maximilian [VerfasserIn]  |
| Bolenz, Christian [VerfasserIn]  |
| Fritsche, Hans-Martin [VerfasserIn]  |
| Martini, Thomas [VerfasserIn]  |
Titel: | Sarcopenia as a comorbidity-independent predictor of survival following radical cystectomy for bladder cancer |
Verf.angabe: | Roman Mayr, Michael Gierth, Florian Zeman, Marieke Reiffen, Philipp Seeger, Felix Wezel, Armin Pycha, Evi Comploj, Matteo Bonatti, Manuel Ritter, Bas W.G. van Rhijn, Maximilian Burger, Christian Bolenz, Hans-Martin Fritsche & Thomas Martini |
E-Jahr: | 2018 |
Jahr: | 25 February 2018 |
Umfang: | 9 S. |
Fussnoten: | Gesehen am 24.03.2020 |
Titel Quelle: | Enthalten in: Journal of cachexia, sarcopenia and muscle |
Ort Quelle: | Hoboken, NJ : Wiley, 2010 |
Jahr Quelle: | 2018 |
Band/Heft Quelle: | 9(2018), 3, Seite 505-513 |
ISSN Quelle: | 2190-6009 |
Abstract: | BACKGROUND: A multicentre study was conducted to investigate the impact of sarcopenia as an independent predictor of oncological outcome after radical cystectomy for bladder cancer. - METHODS: In total, 500 patients with available digital computed tomography scans of the abdomen obtained within 90 days before surgery were identified. The lumbar skeletal muscle index was measured using pre-operative computed tomography. Cancer-specific survival (CSS) and overall survival (OS) were estimated using Kaplan-Meier curves. Predictors of CSS and OS were analysed by univariable and multivariable Cox regression models. - RESULTS: Based on skeletal muscle index, 189 patients (37.8%) were classified as sarcopenic. Patients with sarcopenia were older compared with their counterparts (P = 0.002), but both groups were comparable regarding to gender, comorbidity, tumor, node, metastasis (TNM) stage, and type of urinary diversion (all P > 0.05). In total, 234 (46.8%) patients died, and of these, 145 (29.0%) died because of urothelial carcinoma of the bladder. Sarcopenic patients had significantly worse 5 year OS (38.3% vs. 50.5%; P = 0.002) and 5 year CSS (49.5% vs. 62.3%; P = 0.016) rates compared with patients without sarcopenia. Moreover, sarcopenia was associated independently with both increased all-cause mortality (hazard ratio, 1.43; 95% confidence interval 1.09-1.87; P = 0.01) and increased cancer-specific mortality (hazard ratio, 1.42; 95% confidence interval, 1.00-2.02; P = 0.048). Our results are limited by the lack of prospective frailty assessment. - CONCLUSIONS: Sarcopenia has been shown to be an independent predictor for OS and CSS in a large multicentre study with patients undergoing radical cystectomy for bladder cancer. |
DOI: | doi:10.1002/jcsm.12279 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1002/jcsm.12279 |
| DOI: https://doi.org/10.1002/jcsm.12279 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Aged |
| Aged, 80 and over |
| Biomarkers |
| Bladder cancer |
| Body Composition |
| Comorbidity |
| Cystectomy |
| Female |
| Frailty |
| Humans |
| Kaplan-Meier Estimate |
| Male |
| Muscle, Skeletal |
| Postoperative Period |
| Prognosis |
| Proportional Hazards Models |
| Sarcopenia |
| Skeletal muscle mass |
| Tomography, X-Ray Computed |
| Urinary bladder neoplasm |
| Urinary Bladder Neoplasms |
K10plus-PPN: | 1693175800 |
Verknüpfungen: | → Zeitschrift |
Sarcopenia as a comorbidity-independent predictor of survival following radical cystectomy for bladder cancer / Mayr, Roman [VerfasserIn]; 25 February 2018 (Online-Ressource)