Prediction of 30-day morbidity after primary cytoreductive surgery for advanced stage ovarian cancer
| Autor: | C.G. Gerestein, G.S. Kooi, Marinus J.C. Eijkemans, Curt W. Burger, G Nieuwenhuyzen-de Boer |
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| Přispěvatelé: | Obstetrics & Gynecology, Public Health |
| Rok vydání: | 2010 |
| Předmět: |
Adult
Cancer Research medicine.medical_specialty Neoplasm Residual Adolescent Intraoperative Period Young Adult Age Distribution Postoperative Complications SDG 3 - Good Health and Well-being Risk Factors medicine Humans Registries Aged Neoplasm Staging Aged 80 and over Ovarian Neoplasms Performance status Proportional hazards model business.industry Maximal Debulking Age Factors Cancer Odds ratio Middle Aged Nomogram Prognosis medicine.disease Cancer registry Surgery Nomograms Treatment Outcome Oncology Female Ovarian cancer business |
| Zdroj: | European Journal of Cancer, 46(1), 102-109. Elsevier Ltd. |
| ISSN: | 0959-8049 |
| Popis: | Objective: Treatment in advanced stage epithelial ovarian cancer (EOC) is based on primary cytoreductive surgery followed by platinum-based chemotherapy Successful cytoreduction to minimal residual tumour burden is the most important determinant of prognosis. However, extensive surgical procedures to achieve maximal debulking are inevitably associated with postoperative morbidity and mortality. The objective of this study is to determine predictors of 30-day morbidity after primary cytoreductive surgery for advanced stage EOC. Methods: All patients in the South Western part of the Netherlands who underwent primary cytoreductive surgery for advanced stage EOC between January 2004 and December 2007 were identified from the Rotterdam Cancer Registry database. All peri- and postoperative complications within 30 days after surgery were registered and classified according to the definitions of the National Surgical Quality Improvement Programme (NSQIP). To investigate independent predictors of 30-day morbidity, a Cox proportional hazards model with backward stepwise elimination was utilised. The identified predictors were entered into a nomogram. Results: Two hundred and ninety-three patients entered the study protocol. optimal cytoreduction was achieved in 136 (46%) patients. 30-day morbidity was seen in 99 (34%) patients. Postoperative morbidity could be predicted by age (P = 0.007; odds ratio [OR] 1.034), WHO performance status (P = 0.046; OR 1.757), extent of surgery (P = 0.1308; OR = 2.101), and operative time (P = 0.017; OR 1.007) with an optimism corrected c-statistic of 0.68. Conclusion: 30-day morbidity could be predicted by age, WHO performance status, operative time and extent of surgery. The generated nomogram could be valuable for predicting operative risk in the individual patient. (C) 2009 Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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