INTRODUCTION: Age is one of five prognostic parameters identified based on data of the trauma registry of the German Association for Trauma Surgery (DGU). We asked ourselves if the suggested prognostic model provides the same predictive power of data from an independent hospital. Furthermore, we investigated whether age itself or age-associated comorbidity causes an unfavorable prognostic effect. METHODS: The investigation was based on data of 103 multiply injured patients (67 male, 36 female, mean age 35,4+/-SD 19,0 years, ISS 36,8+/-10,9). Data were collected prospectively following the guidelines of the trauma registry of the German Association for Trauma Surgery. Based on documented comorbidities, a risk calculation was performed using the ASA classification. Correlation between age and ASA was analyzed using Spearman's method. The prognostic value of the original model in our patient pool with or without ASA classification, possible interactions, and the discriminatory power of the model were estimated using logistic regression. RESULTS: Attributable mortality was 31,7% (95% CI 22,7-41,7%). Age, ISS, GCS and ASA were included into the final logistic model. Odds ratios of the origin model were reproducible nearly identical in our patinet pool (OR: age 1,048; ISS 1,066; GCS 0,822). In spite of the fact that we have found a strong correlation between age and ASA-Classification (rho=0,60, p<0,0001) there was no prognostic value of comorbidity. CONCLUSION: The suggested prognostic model based on multicenter data evaluation can be applied to a single center with only minimal loss of discriminatory power. In this context, age seems to have a prognostic value independent of comorbidity.
INTRODUCTION: Age is one of five prognostic parameters identified based on data of the trauma registry of the German Association for Trauma Surgery (DGU). We asked ourselves if the suggested prognostic model provides the same predictive power of data from an independent hospital. Furthermore, we investigated whether age itself or age-associated comorbidity causes an unfavorable prognostic effect. METHODS: The investigation was based on data of 103 multiply injured patients (67 male, 36 female, mean age 35,4+/-SD 19,0 years, ISS 36,8+/-10,9). Data were collected prospectively following the guidelines of the trauma registry of the German Association for Trauma Surgery. Based on documented comorbidities, a risk calculation was performed using the ASA classification. Correlation between age and ASA was analyzed using Spearman's method. The prognostic value of the original model in our patient pool with or without ASA classification, possible interactions, and the discriminatory power of the model were estimated using logistic regression. RESULTS: Attributable mortality was 31,7% (95% CI 22,7-41,7%). Age, ISS, GCS and ASA were included into the final logistic model. Odds ratios of the origin model were reproducible nearly identical in our patinet pool (OR: age 1,048; ISS 1,066; GCS 0,822). In spite of the fact that we have found a strong correlation between age and ASA-Classification (rho=0,60, p<0,0001) there was no prognostic value of comorbidity. CONCLUSION: The suggested prognostic model based on multicenter data evaluation can be applied to a single center with only minimal loss of discriminatory power. In this context, age seems to have a prognostic value independent of comorbidity.
Authors: Ida Füglistaler-Montali; Corinna Attenberger; Philipp Füglistaler; Augustinus L Jacob; Felix Amsler; Thomas Gross Journal: World J Surg Date: 2009-11 Impact factor: 3.352
Authors: Dieter Rixen; Eva Steinhausen; Stefan Sauerland; Rolf Lefering; Matthias Meier; Marc G Maegele; Bertil Bouillon; Edmund A M Neugebauer Journal: Trials Date: 2009-08-19 Impact factor: 2.279
Authors: Dieter Rixen; Eva Steinhausen; Stefan Sauerland; Rolf Lefering; Marc G Maegele; Bertil Bouillon; Guido Grass; Edmund A M Neugebauer Journal: Trials Date: 2016-01-25 Impact factor: 2.279