| Preoperative assessment of mortality risk in hepatic resection by clinical variables: a multivariate analysis. | |
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MedLine Citation:
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PMID: 10226115 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Hepatic resection is a chance for cure for primary and secondary liver tumors and a variety of benign diseases. Despite advances in surgical technique and patient care, preoperative and postoperative morbidity in patients undergoing liver resection remains high. Because a high morbidity represents a risk factor contributing to a fatal outcome of the surgical procedure, our study aimed to investigate the contribution of different risk factors to a fatal outcome and if mortality can be predicted by the presence of certain risk factors. Two hundred fifty-seven patients undergoing hepatic resection (curative and palliative) were analyzed preoperatively, immediately after surgery, and 10 days after surgery for 60 potential risk factors. Survivors (n = 238) and nonsurvivors (n = 19) were compared univariately. The analysis identified 14 variables to differentiate between groups. These variables were processed by multivariate logistic regression analysis. Three models to estimate 30-day mortality were identified, tested for statistical accuracy, and assessed for their receiver-operated characteristics (ROCs). The variables in the multivariate models were as follows: preoperatively, age, number of comorbid factors, and presence of cirrhosis; immediately after surgery, age, number of comorbid factors, and percentage of resected liver; and 10 days after surgery, age, hours of ventilation, and number of adverse events. Goodness of fit was 0. 863, 0.912, and 0.966, respectively. Areas under the ROC curves were 83.6%, 85.7%, and 98.0%. The specificity (probability to identify survivors correctly) was greater than 90% for all models, although sensitivity (probability to identify nonsurvivors correctly) was greater than 90% only for 10 days after surgery. We conclude that logistic regression is appropriate to assess the importance of risk factors in the course of hepatic resection and to identify patient groups at high risk. |
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Authors:
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U Bolder; A Brune; S Schmidt; J Tacke; K W Jauch; D Löhlein |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Liver transplantation and surgery : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Volume: 5 ISSN: 1074-3022 ISO Abbreviation: Liver Transpl Surg Publication Date: 1999 May |
Date Detail:
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Created Date: 1999-06-14 Completed Date: 1999-06-14 Revised Date: 2004-11-17 |
Medline Journal Info:
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Nlm Unique ID: 9502504 Medline TA: Liver Transpl Surg Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 227-37 Citation Subset: IM |
Affiliation:
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Department of Abdominal Surgery, Dortmund Academic Hospital, Dortmund, Germany. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Female Hepatectomy / mortality* Humans Liver Diseases / mortality, surgery* Liver Neoplasms / mortality, secondary, surgery* Logistic Models Male Middle Aged Multivariate Analysis Palliative Care ROC Curve Risk Assessment Risk Factors Sensitivity and Specificity Survival Analysis |
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