Contemporary rates and predictors of open conversion during minimally invasive partial nephrectomy for kidney cancer
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
33401103
DOI
10.1016/j.suronc.2020.12.004
PII: S0960-7404(20)30459-X
Knihovny.cz E-zdroje
- Klíčová slova
- Hospital volume, National inpatient sample, Obesity, Open conversion, Partial nephrectomy,
- MeSH
- karcinom z renálních buněk patologie chirurgie MeSH
- konverze na otevřenou operaci statistika a číselné údaje MeSH
- laparoskopie metody MeSH
- lidé středního věku MeSH
- lidé MeSH
- miniinvazivní chirurgické výkony metody MeSH
- nádory ledvin patologie chirurgie MeSH
- následné studie MeSH
- nefrektomie metody MeSH
- obezita patofyziologie MeSH
- prognóza MeSH
- retrospektivní studie MeSH
- rizikové faktory MeSH
- robotika metody MeSH
- senioři MeSH
- specializovaná centra se zvyšujícím se počtem výkonů a tím zvyšující se kvalitou léčby statistika a číselné údaje MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
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.
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