Surgical Mortality in Patients With Esophageal Cancer: Development and Validation of a Simple Risk Score

2006 ◽  
Vol 24 (26) ◽  
pp. 4277-4284 ◽  
Author(s):  
Ewout W. Steyerberg ◽  
Bridget A. Neville ◽  
Linetta B. Koppert ◽  
Valery E.P.P. Lemmens ◽  
Hugo W. Tilanus ◽  
...  

PurposeSurgery has curative potential in a proportion of patients with esophageal cancer, but is associated with considerable perioperative risks. We aimed to develop and validate a simple risk score for surgical mortality that could be applied to administrative data.Patients and MethodsWe analyzed 3,592 esophagectomy patients from four cohorts. We applied logistic regression analysis to predict mortality occurring within 30 days after esophagectomy for 1,327 esophageal cancer patients older than 65 years of age, diagnosed between 1991 and 1996 in the linked Surveillance, Epidemiology and End Results (SEER) - Medicare database. A simple score chart for preoperative risk assessment of surgical mortality was developed and validated on three other cohorts, including 714 SEER-Medicare patients diagnosed between 1997 and 1999, 349 patients from a population-based registry in the Netherlands diagnosed between 1993 and 2001, and 1,202 patients from a referral hospital in the Netherlands diagnosed between 1980 and 2002.ResultsSurgical mortality in the four cohorts was 11% (147 of 1,327), 10% (74 of 714), 7% (25 of 349), and 4% (45 of 1,202), respectively. Predictive patient characteristics included age, comorbidity (cardiac, pulmonary, renal, hepatic, and diabetes), preoperative radiotherapy or combined chemoradiotherapy, and a relatively low hospital volume. At validation, the simple score showed good agreement of predicted risks with observed mortality rates (calibration), but low discrimination (area under the receiver operating characteristic curve 0.58 to 0.66).ConclusionA simple risk score combining clinical characteristics along with hospital volume to predict surgical mortality after esophagectomy from administrative data may form a basis for risk adjustment in quality of care assessment.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Janhavi R. Raut ◽  
Ben Schöttker ◽  
Bernd Holleczek ◽  
Feng Guo ◽  
Megha Bhardwaj ◽  
...  

AbstractCirculating microRNAs (miRNAs) could improve colorectal cancer (CRC) risk prediction. Here, we derive a blood-based miRNA panel and evaluate its ability to predict CRC occurrence in a population-based cohort of adults aged 50–75 years. Forty-one miRNAs are preselected from independent studies and measured by quantitative-real-time-polymerase-chain-reaction in serum collected at baseline of 198 participants who develop CRC during 14 years of follow-up and 178 randomly selected controls. A 7-miRNA score is derived by logistic regression. Its predictive ability, quantified by the optimism-corrected area-under-the-receiver-operating-characteristic-curve (AUC) using .632+ bootstrap is 0.794. Predictive ability is compared to that of an environmental risk score (ERS) based on known risk factors and a polygenic risk score (PRS) based on 140 previously identified single-nucleotide-polymorphisms. In participants with all scores available, optimism-corrected-AUC is 0.802 for the 7-miRNA score, while AUC (95% CI) is 0.557 (0.498–0.616) for the ERS and 0.622 (0.564–0.681) for the PRS.


2014 ◽  
Vol 147 (1) ◽  
pp. 177-184 ◽  
Author(s):  
Sabine Siesling ◽  
Vivianne C. G. Tjan-Heijnen ◽  
Marnix de Roos ◽  
Yvonne Snel ◽  
Thijs van Dalen ◽  
...  

2014 ◽  
Vol 17 (7) ◽  
pp. A620
Author(s):  
S. Siesling ◽  
V. Tjan-Heijnen ◽  
M. de Roos ◽  
Y. Snel ◽  
T. van Dalen ◽  
...  

2017 ◽  
Vol 43 (2) ◽  
pp. 461-470 ◽  
Author(s):  
E. Visser ◽  
P.S.N. van Rossum ◽  
A.G. Leeftink ◽  
S. Siesling ◽  
R. van Hillegersberg ◽  
...  

2013 ◽  
Vol 31 (5) ◽  
pp. 551-557 ◽  
Author(s):  
Maryam Derogar ◽  
Omid Sadr-Azodi ◽  
Asif Johar ◽  
Pernilla Lagergren ◽  
Jesper Lagergren

Purpose The influence of hospital and surgeon volume on survival after esophageal cancer surgery deserves clarification, particularly the prognosis after the early postoperative period. The interaction between hospital and surgeon volume, and the influence of known prognostic factors need to be taken into account. Methods A nationwide Swedish population-based cohort study of 1,335 patients with esophageal cancer who underwent esophageal resection in 1987 to 2005, with follow-up for survival until February 2011, was conducted. The associations between annual hospital volume, annual surgeon volume, and cumulative surgeon volume and risk of mortality were calculated with multivariable parametric survival analysis, providing hazard ratios (HRs) with 95% CIs. HRs were mutually adjusted for the surgery volume variables and further adjusted for the prognostic factors age, sex, comorbidity, calendar period, tumor stage, tumor histology, and neoadjuvant therapy. Results There was no independent association between annual hospital volume and overall survival, and hospital volume was not associated with short-term mortality after adjustment for hospital clustering effects. A combination of higher annual and cumulative surgeon volume reduced the mortality occurring at least 3 months after surgery (P trend < .01); the HR was 0.78 (95% CI, 0.65 to 0.92) comparing surgeons with both annual and cumulative volume above the median with those below the median. These results remained when hospital and surgeon clustering were taken into account. Conclusion Because surgeon volume rather than hospital volume independently influences the prognosis after esophageal cancer surgery, centralization of this surgery to fewer surgeons seems warranted.


2019 ◽  
Vol 45 (4) ◽  
pp. 613-619 ◽  
Author(s):  
J.A.W. Hagemans ◽  
W.J. Alberda ◽  
M. Verstegen ◽  
J.H.W. de Wilt ◽  
C. Verhoef ◽  
...  

2019 ◽  
Vol 26 (12) ◽  
pp. 548-556
Author(s):  
Richard Hunger ◽  
Anne Mantke ◽  
Christian Herrmann ◽  
Alexis Leonhard Grimm ◽  
Juliane Ludwig ◽  
...  

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