Mortality after esophagectomy

Risk factor analysis

Mark K. Ferguson, Terri Regina Martin, Laurie B. Reeder, Jemi Olak

Research output: Contribution to journalArticle

136 Citations (Scopus)

Abstract

Esophageal resection is associated with a high incidence of operative mortality, suggesting the need for predictors of operative risk. A retrospective analysis was performed for esophagectomy patients using univariate and multivariate analyses; relative risks (RR) were calculated. Of the 269 patients, 35 (13%) died. The optimal model for the preoperative prediction of risk of mortality was defined by age (p = 0.001; RR = 2.6) and performance status (p = 0.04; RR = 1.9). Delimiting the data pool using a calculated risk of 0.2 accurately identified outcomes in 79% of patients and predicted 41% of deaths. The optimal model for the overall prediction of risk of mortality was defined by age (p = 0.001; RR = 3.9), intraoperative blood loss (p < 0.001; RR = 1.7), pulmonary complications (p = 0.002; RR = 6.6), and the need for inotropic support (p = 0.003; RR = 10.2). The individual risk of mortality after esophagectomy can be predicted preoperatively with a model based on patient age and performance status. The findings underscore the importance of preoperative evaluation of cardiopulmonary function, meticulous operative technique, and aggressive respiratory care in the management of the esophagectomy patient.

Original languageEnglish (US)
Pages (from-to)599-604
Number of pages6
JournalWorld Journal of Surgery
Volume21
Issue number6
DOIs
StatePublished - Jul 1 1997

Fingerprint

Esophagectomy
Statistical Factor Analysis
Mortality
Multivariate Analysis

ASJC Scopus subject areas

  • Surgery

Cite this

Ferguson, M. K., Martin, T. R., Reeder, L. B., & Olak, J. (1997). Mortality after esophagectomy: Risk factor analysis. World Journal of Surgery, 21(6), 599-604. https://doi.org/10.1007/s002689900279

Mortality after esophagectomy : Risk factor analysis. / Ferguson, Mark K.; Martin, Terri Regina; Reeder, Laurie B.; Olak, Jemi.

In: World Journal of Surgery, Vol. 21, No. 6, 01.07.1997, p. 599-604.

Research output: Contribution to journalArticle

Ferguson, MK, Martin, TR, Reeder, LB & Olak, J 1997, 'Mortality after esophagectomy: Risk factor analysis', World Journal of Surgery, vol. 21, no. 6, pp. 599-604. https://doi.org/10.1007/s002689900279
Ferguson, Mark K. ; Martin, Terri Regina ; Reeder, Laurie B. ; Olak, Jemi. / Mortality after esophagectomy : Risk factor analysis. In: World Journal of Surgery. 1997 ; Vol. 21, No. 6. pp. 599-604.
@article{2589cde9dc6247e0a35e8952ac994508,
title = "Mortality after esophagectomy: Risk factor analysis",
abstract = "Esophageal resection is associated with a high incidence of operative mortality, suggesting the need for predictors of operative risk. A retrospective analysis was performed for esophagectomy patients using univariate and multivariate analyses; relative risks (RR) were calculated. Of the 269 patients, 35 (13{\%}) died. The optimal model for the preoperative prediction of risk of mortality was defined by age (p = 0.001; RR = 2.6) and performance status (p = 0.04; RR = 1.9). Delimiting the data pool using a calculated risk of 0.2 accurately identified outcomes in 79{\%} of patients and predicted 41{\%} of deaths. The optimal model for the overall prediction of risk of mortality was defined by age (p = 0.001; RR = 3.9), intraoperative blood loss (p < 0.001; RR = 1.7), pulmonary complications (p = 0.002; RR = 6.6), and the need for inotropic support (p = 0.003; RR = 10.2). The individual risk of mortality after esophagectomy can be predicted preoperatively with a model based on patient age and performance status. The findings underscore the importance of preoperative evaluation of cardiopulmonary function, meticulous operative technique, and aggressive respiratory care in the management of the esophagectomy patient.",
author = "Ferguson, {Mark K.} and Martin, {Terri Regina} and Reeder, {Laurie B.} and Jemi Olak",
year = "1997",
month = "7",
day = "1",
doi = "10.1007/s002689900279",
language = "English (US)",
volume = "21",
pages = "599--604",
journal = "World Journal of Surgery",
issn = "0364-2313",
publisher = "Springer New York",
number = "6",

}

TY - JOUR

T1 - Mortality after esophagectomy

T2 - Risk factor analysis

AU - Ferguson, Mark K.

AU - Martin, Terri Regina

AU - Reeder, Laurie B.

AU - Olak, Jemi

PY - 1997/7/1

Y1 - 1997/7/1

N2 - Esophageal resection is associated with a high incidence of operative mortality, suggesting the need for predictors of operative risk. A retrospective analysis was performed for esophagectomy patients using univariate and multivariate analyses; relative risks (RR) were calculated. Of the 269 patients, 35 (13%) died. The optimal model for the preoperative prediction of risk of mortality was defined by age (p = 0.001; RR = 2.6) and performance status (p = 0.04; RR = 1.9). Delimiting the data pool using a calculated risk of 0.2 accurately identified outcomes in 79% of patients and predicted 41% of deaths. The optimal model for the overall prediction of risk of mortality was defined by age (p = 0.001; RR = 3.9), intraoperative blood loss (p < 0.001; RR = 1.7), pulmonary complications (p = 0.002; RR = 6.6), and the need for inotropic support (p = 0.003; RR = 10.2). The individual risk of mortality after esophagectomy can be predicted preoperatively with a model based on patient age and performance status. The findings underscore the importance of preoperative evaluation of cardiopulmonary function, meticulous operative technique, and aggressive respiratory care in the management of the esophagectomy patient.

AB - Esophageal resection is associated with a high incidence of operative mortality, suggesting the need for predictors of operative risk. A retrospective analysis was performed for esophagectomy patients using univariate and multivariate analyses; relative risks (RR) were calculated. Of the 269 patients, 35 (13%) died. The optimal model for the preoperative prediction of risk of mortality was defined by age (p = 0.001; RR = 2.6) and performance status (p = 0.04; RR = 1.9). Delimiting the data pool using a calculated risk of 0.2 accurately identified outcomes in 79% of patients and predicted 41% of deaths. The optimal model for the overall prediction of risk of mortality was defined by age (p = 0.001; RR = 3.9), intraoperative blood loss (p < 0.001; RR = 1.7), pulmonary complications (p = 0.002; RR = 6.6), and the need for inotropic support (p = 0.003; RR = 10.2). The individual risk of mortality after esophagectomy can be predicted preoperatively with a model based on patient age and performance status. The findings underscore the importance of preoperative evaluation of cardiopulmonary function, meticulous operative technique, and aggressive respiratory care in the management of the esophagectomy patient.

UR - http://www.scopus.com/inward/record.url?scp=0030909266&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030909266&partnerID=8YFLogxK

U2 - 10.1007/s002689900279

DO - 10.1007/s002689900279

M3 - Article

VL - 21

SP - 599

EP - 604

JO - World Journal of Surgery

JF - World Journal of Surgery

SN - 0364-2313

IS - 6

ER -