• Something wrong with this record ?

Contemporary rates and predictors of open conversion during minimally invasive partial nephrectomy for kidney cancer

S. Luzzago, G. Rosiello, A. Pecoraro, M. Deuker, F. Stolzenbach, FA. Mistretta, Z. Tian, G. Musi, E. Montanari, SF. Shariat, F. Saad, A. Briganti, O. de Cobelli, PI. Karakiewicz

. 2021 ; 36 (-) : 131-137. [pub] 20201211

Language English Country Netherlands

Document type Journal Article

Persistent link   https://www.medvik.cz/link/bmc22004601

OBJECTIVES: To test contemporary rates and predictors of open conversion at minimally invasive partial nephrectomy (MIPN: laparoscopic or robotic partial nephrectomy). MATERIALS AND METHODS: Within the National Inpatient Sample database (2008-2015) we identified all MIPN patients and patients that underwent open conversion at MIPN. First, estimated annual percentage changes (EAPC) tested temporal trends of open conversion. Second, univariable and multivariable logistic regression models predicted open conversion at MIPN. All models were weighted and adjusted for clustering, as well as all available patient and hospital characteristics. RESULTS: Of 7649 MIPN patients, 287 (3.8%) underwent open conversion. The rates of open conversion decreased over time (from 12 to 2.4%; EAPC: 24.8%; p = 0.004). In multivariable logistic regression models predicting open conversion, patient obesity achieved independent predictor status (OR:1.80; p < 0.001). Moreover, compared to high volume hospitals, medium volume (OR:1.48; p = 0.02) and low volume hospitals (OR:2.11; p < 0.001) were associated with higher rates of open conversion. Last but not least, when the effect of obesity was tested according to hospital volume, the rates of open conversion ranged from 2.2 (non obese patients treated at high volume hospitals) to 9.8% (obese patients treated at low volume hospitals). CONCLUSION: Overall contemporary (2008-2015) rate of open conversion at MIPN was 3.8% and it was strongly associated with patient obesity and hospital surgical volume. In consequence, these two parameters should be taken into account during preoperative patients counselling, as well as in clinical and administrative decision making.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22004601
003      
CZ-PrNML
005      
20220127145124.0
007      
ta
008      
220113s2021 ne f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.suronc.2020.12.004 $2 doi
035    __
$a (PubMed)33401103
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a ne
100    1_
$a Luzzago, Stefano $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy. Electronic address: stefanoluzzago@gmail.com
245    10
$a Contemporary rates and predictors of open conversion during minimally invasive partial nephrectomy for kidney cancer / $c S. Luzzago, G. Rosiello, A. Pecoraro, M. Deuker, F. Stolzenbach, FA. Mistretta, Z. Tian, G. Musi, E. Montanari, SF. Shariat, F. Saad, A. Briganti, O. de Cobelli, PI. Karakiewicz
520    9_
$a OBJECTIVES: To test contemporary rates and predictors of open conversion at minimally invasive partial nephrectomy (MIPN: laparoscopic or robotic partial nephrectomy). MATERIALS AND METHODS: Within the National Inpatient Sample database (2008-2015) we identified all MIPN patients and patients that underwent open conversion at MIPN. First, estimated annual percentage changes (EAPC) tested temporal trends of open conversion. Second, univariable and multivariable logistic regression models predicted open conversion at MIPN. All models were weighted and adjusted for clustering, as well as all available patient and hospital characteristics. RESULTS: Of 7649 MIPN patients, 287 (3.8%) underwent open conversion. The rates of open conversion decreased over time (from 12 to 2.4%; EAPC: 24.8%; p = 0.004). In multivariable logistic regression models predicting open conversion, patient obesity achieved independent predictor status (OR:1.80; p < 0.001). Moreover, compared to high volume hospitals, medium volume (OR:1.48; p = 0.02) and low volume hospitals (OR:2.11; p < 0.001) were associated with higher rates of open conversion. Last but not least, when the effect of obesity was tested according to hospital volume, the rates of open conversion ranged from 2.2 (non obese patients treated at high volume hospitals) to 9.8% (obese patients treated at low volume hospitals). CONCLUSION: Overall contemporary (2008-2015) rate of open conversion at MIPN was 3.8% and it was strongly associated with patient obesity and hospital surgical volume. In consequence, these two parameters should be taken into account during preoperative patients counselling, as well as in clinical and administrative decision making.
650    _2
$a senioři $7 D000368
650    _2
$a karcinom z renálních buněk $x patologie $x chirurgie $7 D002292
650    _2
$a konverze na otevřenou operaci $x statistika a číselné údaje $7 D061887
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a následné studie $7 D005500
650    _2
$a specializovaná centra se zvyšujícím se počtem výkonů a tím zvyšující se kvalitou léčby $x statistika a číselné údaje $7 D061847
650    _2
$a lidé $7 D006801
650    _2
$a nádory ledvin $x patologie $x chirurgie $7 D007680
650    _2
$a laparoskopie $x metody $7 D010535
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a miniinvazivní chirurgické výkony $x metody $7 D019060
650    _2
$a nefrektomie $x metody $7 D009392
650    _2
$a obezita $x patofyziologie $7 D009765
650    _2
$a prognóza $7 D011379
650    _2
$a retrospektivní studie $7 D012189
650    _2
$a rizikové faktory $7 D012307
650    _2
$a robotika $x metody $7 D012371
655    _2
$a časopisecké články $7 D016428
700    1_
$a Rosiello, Giuseppe $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
700    1_
$a Pecoraro, Angela $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
700    1_
$a Deuker, Marina $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Department of Urology, University Hospital Frankfurt, Frankfurt Am Main, Germany
700    1_
$a Stolzenbach, Franziska $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Martini Klinik, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
700    1_
$a Mistretta, Francesco Alessandro $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada; Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy
700    1_
$a Tian, Zhe $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada
700    1_
$a Musi, Gennaro $u Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy
700    1_
$a Montanari, Emanuele $u Department of Urology, IRCCS Fondazione Ca' Granda-Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
700    1_
$a Shariat, Shahrokh F $u Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria; Department of Urology, Weill Cornell Medical College, New York, NY, USA; Department of Urology, University of Texas Southwestern, Dallas, TX, USA; Department of Urology, Second Faculty of Medicine, Charles University, Prag, Czech Republic; Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
700    1_
$a Saad, Fred $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada
700    1_
$a Briganti, Alberto $u Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
700    1_
$a de Cobelli, Ottavio $u Department of Urology, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
700    1_
$a Karakiewicz, Pierre I $u Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Quebec, Canada
773    0_
$w MED00004468 $t Surgical oncology $x 1879-3320 $g Roč. 36, č. - (2021), s. 131-137
856    41
$u https://pubmed.ncbi.nlm.nih.gov/33401103 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20220113 $b ABA008
991    __
$a 20220127145121 $b ABA008
999    __
$a ok $b bmc $g 1751915 $s 1155750
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2021 $b 36 $c - $d 131-137 $e 20201211 $i 1879-3320 $m Surgical oncology $n Surg Oncol $x MED00004468
LZP    __
$a Pubmed-20220113

Find record

Citation metrics

Archiving options