Time dependent influence of host factors on outcome after trauma

Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trau...
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Autor*in:	Brattström, Olof [verfasserIn] Larsson, Emma [verfasserIn] Granath, Fredrik [verfasserIn] Riddez, Louis [verfasserIn] Bell, Max [verfasserIn] Oldner, Anders [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Trauma Outcome Mortality Standardized mortality ratio Co-morbidity Gender

Übergeordnetes Werk:	Enthalten in: European journal of epidemiology - [Cham] : Springer Nature Switzerland AG, 1985, 27(2012), 3 vom: 26. Jan., Seite 233-241
Übergeordnetes Werk:	volume:27 ; year:2012 ; number:3 ; day:26 ; month:01 ; pages:233-241

Links:	Volltext

DOI / URN:	10.1007/s10654-012-9651-4

Katalog-ID:	SPR012540153

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520			\|a Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome.
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700	1		\|a Bell, Max \|e verfasserin \|4 aut
700	1		\|a Oldner, Anders \|e verfasserin \|4 aut
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allfields	10.1007/s10654-012-9651-4 doi (DE-627)SPR012540153 (SPR)s10654-012-9651-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Brattström, Olof verfasserin aut Time dependent influence of host factors on outcome after trauma 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome. Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213 Larsson, Emma verfasserin aut Granath, Fredrik verfasserin aut Riddez, Louis verfasserin aut Bell, Max verfasserin aut Oldner, Anders verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 27(2012), 3 vom: 26. Jan., Seite 233-241 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:27 year:2012 number:3 day:26 month:01 pages:233-241 https://dx.doi.org/10.1007/s10654-012-9651-4 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 27 2012 3 26 01 233-241
spelling	10.1007/s10654-012-9651-4 doi (DE-627)SPR012540153 (SPR)s10654-012-9651-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Brattström, Olof verfasserin aut Time dependent influence of host factors on outcome after trauma 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome. Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213 Larsson, Emma verfasserin aut Granath, Fredrik verfasserin aut Riddez, Louis verfasserin aut Bell, Max verfasserin aut Oldner, Anders verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 27(2012), 3 vom: 26. Jan., Seite 233-241 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:27 year:2012 number:3 day:26 month:01 pages:233-241 https://dx.doi.org/10.1007/s10654-012-9651-4 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 27 2012 3 26 01 233-241
allfields_unstemmed	10.1007/s10654-012-9651-4 doi (DE-627)SPR012540153 (SPR)s10654-012-9651-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Brattström, Olof verfasserin aut Time dependent influence of host factors on outcome after trauma 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome. Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213 Larsson, Emma verfasserin aut Granath, Fredrik verfasserin aut Riddez, Louis verfasserin aut Bell, Max verfasserin aut Oldner, Anders verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 27(2012), 3 vom: 26. Jan., Seite 233-241 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:27 year:2012 number:3 day:26 month:01 pages:233-241 https://dx.doi.org/10.1007/s10654-012-9651-4 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 27 2012 3 26 01 233-241
allfieldsGer	10.1007/s10654-012-9651-4 doi (DE-627)SPR012540153 (SPR)s10654-012-9651-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Brattström, Olof verfasserin aut Time dependent influence of host factors on outcome after trauma 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome. Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213 Larsson, Emma verfasserin aut Granath, Fredrik verfasserin aut Riddez, Louis verfasserin aut Bell, Max verfasserin aut Oldner, Anders verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 27(2012), 3 vom: 26. Jan., Seite 233-241 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:27 year:2012 number:3 day:26 month:01 pages:233-241 https://dx.doi.org/10.1007/s10654-012-9651-4 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 27 2012 3 26 01 233-241
allfieldsSound	10.1007/s10654-012-9651-4 doi (DE-627)SPR012540153 (SPR)s10654-012-9651-4-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl Brattström, Olof verfasserin aut Time dependent influence of host factors on outcome after trauma 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome. Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213 Larsson, Emma verfasserin aut Granath, Fredrik verfasserin aut Riddez, Louis verfasserin aut Bell, Max verfasserin aut Oldner, Anders verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 27(2012), 3 vom: 26. Jan., Seite 233-241 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:27 year:2012 number:3 day:26 month:01 pages:233-241 https://dx.doi.org/10.1007/s10654-012-9651-4 lizenzpflichtig 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_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 27 2012 3 26 01 233-241
language	English
source	Enthalten in European journal of epidemiology 27(2012), 3 vom: 26. Jan., Seite 233-241 volume:27 year:2012 number:3 day:26 month:01 pages:233-241
sourceStr	Enthalten in European journal of epidemiology 27(2012), 3 vom: 26. Jan., Seite 233-241 volume:27 year:2012 number:3 day:26 month:01 pages:233-241
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Trauma Outcome Mortality Standardized mortality ratio Co-morbidity Gender
dewey-raw	610
isfreeaccess_bool	false
container_title	European journal of epidemiology
authorswithroles_txt_mv	Brattström, Olof @@aut@@ Larsson, Emma @@aut@@ Granath, Fredrik @@aut@@ Riddez, Louis @@aut@@ Bell, Max @@aut@@ Oldner, Anders @@aut@@
publishDateDaySort_date	2012-01-26T00:00:00Z
hierarchy_top_id	320441636
dewey-sort	3610
id	SPR012540153
language_de	englisch
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author	Brattström, Olof
spellingShingle	Brattström, Olof ddc 610 bkl 44.11 misc Trauma misc Outcome misc Mortality misc Standardized mortality ratio misc Co-morbidity misc Gender Time dependent influence of host factors on outcome after trauma
authorStr	Brattström, Olof
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topic_title	610 ASE 44.11 bkl Time dependent influence of host factors on outcome after trauma Trauma (dpeaa)DE-He213 Outcome (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Standardized mortality ratio (dpeaa)DE-He213 Co-morbidity (dpeaa)DE-He213 Gender (dpeaa)DE-He213
topic	ddc 610 bkl 44.11 misc Trauma misc Outcome misc Mortality misc Standardized mortality ratio misc Co-morbidity misc Gender
topic_unstemmed	ddc 610 bkl 44.11 misc Trauma misc Outcome misc Mortality misc Standardized mortality ratio misc Co-morbidity misc Gender
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title	Time dependent influence of host factors on outcome after trauma
ctrlnum	(DE-627)SPR012540153 (SPR)s10654-012-9651-4-e
title_full	Time dependent influence of host factors on outcome after trauma
author_sort	Brattström, Olof
journal	European journal of epidemiology
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author_browse	Brattström, Olof Larsson, Emma Granath, Fredrik Riddez, Louis Bell, Max Oldner, Anders
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author-letter	Brattström, Olof
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author2-role	verfasserin
title_sort	time dependent influence of host factors on outcome after trauma
title_auth	Time dependent influence of host factors on outcome after trauma
abstract	Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome.
abstractGer	Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome.
abstract_unstemmed	Abstract The impact of host factors, such as gender and co-morbidity, on mortality after trauma has been debated. Quantification of risk factors is dependent on methodological considerations including follow-up time, definitions and adjustment of potential confounders. Optimal follow-up time of trauma patients remains to be elucidated. We investigated the impact of gender and co-morbidity on short and long term mortality in a cohort including 4,051 patients from a level 1 trauma centre. Data from the trauma cohort were linked to validated national registries. 30 and 360-day survival were analysed with logistic and Cox regression, respectively. Long term survival was also estimated as standardardized mortality ratio, which implies a comparison with a matched general population. The influence of host factors on outcome after trauma differed over time. Male gender was an independent risk factor for mortality at 1 year but not at 30-days post-injury, even after adjustment for clinically relevant confounders. This gender difference was also apparent when comparing mortality rates with the general population. Moreover, the effect of gender seems to be restricted to elderly patients. The presence of co-morbidity became a significant risk factor beyond 30 days after trauma, suggesting that this patient group may benefit from a more thorough follow up after hospital discharge. A persistent excess mortality compared to the general population was still seen 1 year after the trauma. Our findings indicate that the effect of trauma is not limited to the early post-injury period but adversely affects the long term outcome.
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title_short	Time dependent influence of host factors on outcome after trauma
url	https://dx.doi.org/10.1007/s10654-012-9651-4
remote_bool	true
author2	Larsson, Emma Granath, Fredrik Riddez, Louis Bell, Max Oldner, Anders
author2Str	Larsson, Emma Granath, Fredrik Riddez, Louis Bell, Max Oldner, Anders
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doi_str	10.1007/s10654-012-9651-4
up_date	2024-07-03T13:37:40.918Z
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Time dependent influence of host factors on outcome after trauma

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