IL-6 predicts organ dysfunction and mortality in patients with multiple injuries
Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such a...
Ausführliche Beschreibung
Autor*in: |
Frink, Michael [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2009 |
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Anmerkung: |
© Frink et al; licensee BioMed Central Ltd. 2009 |
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Übergeordnetes Werk: |
Enthalten in: Scandinavian journal of trauma, resuscitation and emergency medicine - London : BioMed Central, 2008, 17(2009), 1 vom: 27. Sept. |
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Übergeordnetes Werk: |
volume:17 ; year:2009 ; number:1 ; day:27 ; month:09 |
Links: |
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DOI / URN: |
10.1186/1757-7241-17-49 |
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Katalog-ID: |
SPR029674026 |
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520 | |a Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. | ||
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650 | 4 | |a Receiver Operating Characteristic Curve Analysis |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Vaske, Bernhard |4 aut | |
700 | 1 | |a Krettek, Christian |4 aut | |
700 | 1 | |a Hildebrand, Frank |4 aut | |
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10.1186/1757-7241-17-49 doi (DE-627)SPR029674026 (SPR)1757-7241-17-49-e DE-627 ger DE-627 rakwb eng Frink, Michael verfasserin aut IL-6 predicts organ dysfunction and mortality in patients with multiple injuries 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Frink et al; licensee BioMed Central Ltd. 2009 Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 van Griensven, Martijn aut Kobbe, Philipp aut Brin, Thomas aut Zeckey, Christian aut Vaske, Bernhard aut Krettek, Christian aut Hildebrand, Frank aut Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine London : BioMed Central, 2008 17(2009), 1 vom: 27. Sept. (DE-627)582019125 (DE-600)2455990-8 1757-7241 nnns volume:17 year:2009 number:1 day:27 month:09 https://dx.doi.org/10.1186/1757-7241-17-49 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2009 1 27 09 |
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10.1186/1757-7241-17-49 doi (DE-627)SPR029674026 (SPR)1757-7241-17-49-e DE-627 ger DE-627 rakwb eng Frink, Michael verfasserin aut IL-6 predicts organ dysfunction and mortality in patients with multiple injuries 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Frink et al; licensee BioMed Central Ltd. 2009 Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 van Griensven, Martijn aut Kobbe, Philipp aut Brin, Thomas aut Zeckey, Christian aut Vaske, Bernhard aut Krettek, Christian aut Hildebrand, Frank aut Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine London : BioMed Central, 2008 17(2009), 1 vom: 27. Sept. (DE-627)582019125 (DE-600)2455990-8 1757-7241 nnns volume:17 year:2009 number:1 day:27 month:09 https://dx.doi.org/10.1186/1757-7241-17-49 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2009 1 27 09 |
allfields_unstemmed |
10.1186/1757-7241-17-49 doi (DE-627)SPR029674026 (SPR)1757-7241-17-49-e DE-627 ger DE-627 rakwb eng Frink, Michael verfasserin aut IL-6 predicts organ dysfunction and mortality in patients with multiple injuries 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Frink et al; licensee BioMed Central Ltd. 2009 Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 van Griensven, Martijn aut Kobbe, Philipp aut Brin, Thomas aut Zeckey, Christian aut Vaske, Bernhard aut Krettek, Christian aut Hildebrand, Frank aut Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine London : BioMed Central, 2008 17(2009), 1 vom: 27. Sept. (DE-627)582019125 (DE-600)2455990-8 1757-7241 nnns volume:17 year:2009 number:1 day:27 month:09 https://dx.doi.org/10.1186/1757-7241-17-49 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2009 1 27 09 |
allfieldsGer |
10.1186/1757-7241-17-49 doi (DE-627)SPR029674026 (SPR)1757-7241-17-49-e DE-627 ger DE-627 rakwb eng Frink, Michael verfasserin aut IL-6 predicts organ dysfunction and mortality in patients with multiple injuries 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Frink et al; licensee BioMed Central Ltd. 2009 Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 van Griensven, Martijn aut Kobbe, Philipp aut Brin, Thomas aut Zeckey, Christian aut Vaske, Bernhard aut Krettek, Christian aut Hildebrand, Frank aut Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine London : BioMed Central, 2008 17(2009), 1 vom: 27. Sept. (DE-627)582019125 (DE-600)2455990-8 1757-7241 nnns volume:17 year:2009 number:1 day:27 month:09 https://dx.doi.org/10.1186/1757-7241-17-49 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2009 1 27 09 |
allfieldsSound |
10.1186/1757-7241-17-49 doi (DE-627)SPR029674026 (SPR)1757-7241-17-49-e DE-627 ger DE-627 rakwb eng Frink, Michael verfasserin aut IL-6 predicts organ dysfunction and mortality in patients with multiple injuries 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Frink et al; licensee BioMed Central Ltd. 2009 Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 van Griensven, Martijn aut Kobbe, Philipp aut Brin, Thomas aut Zeckey, Christian aut Vaske, Bernhard aut Krettek, Christian aut Hildebrand, Frank aut Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine London : BioMed Central, 2008 17(2009), 1 vom: 27. Sept. (DE-627)582019125 (DE-600)2455990-8 1757-7241 nnns volume:17 year:2009 number:1 day:27 month:09 https://dx.doi.org/10.1186/1757-7241-17-49 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2009 1 27 09 |
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Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. 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Frink, Michael |
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Frink, Michael misc Organ Dysfunction misc Injury Severity Score misc Base Excess misc Multiple Organ Dysfunction Syndrome misc Receiver Operating Characteristic Curve Analysis IL-6 predicts organ dysfunction and mortality in patients with multiple injuries |
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IL-6 predicts organ dysfunction and mortality in patients with multiple injuries Organ Dysfunction (dpeaa)DE-He213 Injury Severity Score (dpeaa)DE-He213 Base Excess (dpeaa)DE-He213 Multiple Organ Dysfunction Syndrome (dpeaa)DE-He213 Receiver Operating Characteristic Curve Analysis (dpeaa)DE-He213 |
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IL-6 predicts organ dysfunction and mortality in patients with multiple injuries |
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il-6 predicts organ dysfunction and mortality in patients with multiple injuries |
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IL-6 predicts organ dysfunction and mortality in patients with multiple injuries |
abstract |
Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. © Frink et al; licensee BioMed Central Ltd. 2009 |
abstractGer |
Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. © Frink et al; licensee BioMed Central Ltd. 2009 |
abstract_unstemmed |
Background Although therapeutic concepts of patients with major trauma have improved during recent years, organ dysfunction still remains a frequent complication during clinical course in intensive care units. It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS. © Frink et al; licensee BioMed Central Ltd. 2009 |
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IL-6 predicts organ dysfunction and mortality in patients with multiple injuries |
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van Griensven, Martijn Kobbe, Philipp Brin, Thomas Zeckey, Christian Vaske, Bernhard Krettek, Christian Hildebrand, Frank |
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It has previously been shown that cytokines are upregulated under stress conditions such as trauma or sepsis. However, it is still debatable if cytokines are adequate parameters to describe the current state of trauma patients. To elucidate the relevance of cytokines, we investigated if cytokines predict development of multiple organ dysfunction syndrome (MODS) or outcome. Methods A total of 143 patients with an injury severity score ≥ 16, between 16 and 65 years, admitted to the Hannover Medical School Level 1 Trauma Center between January 1997 and December 2001 were prospectively included in this study. Marshall Score for MODS was calculated for at least 14 days and plasma levels of TNF-α, IL-1β, IL-6, IL-8 and IL-10 were measured. To determine the association between cytokine levels and development of MODS the Spearman rank correlation coefficient was calculated and logistic regression and analysis were performed. Results and Discussion Patients with MODS had increased plasma levels of IL-6, IL-8 and IL-10. IL-6 predicted development of MODS with an overall accuracy of 84.7% (specificity: 98.3%, sensitivity: 16.7%). The threshold value for development of MODS was 761.7 pg/ml and 2176.0 pg/ml for mortality during the in patient time. Conclusion We conclude that plasma IL-6 levels predict mortality and that they are a useful tool to identify patients who are at risk for development of MODS.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Organ Dysfunction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Injury Severity Score</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Base Excess</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multiple Organ Dysfunction Syndrome</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Receiver Operating Characteristic Curve Analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">van Griensven, Martijn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kobbe, Philipp</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brin, Thomas</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zeckey, Christian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vaske, Bernhard</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Krettek, Christian</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hildebrand, Frank</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Scandinavian journal of trauma, resuscitation and emergency medicine</subfield><subfield code="d">London : BioMed Central, 2008</subfield><subfield code="g">17(2009), 1 vom: 27. 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