Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality
Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Rodríguez-Núñez, Olga [verfasserIn] Agüero, Daiana L. [verfasserIn] Morata, Laura [verfasserIn] Puerta-Alcalde, Pedro [verfasserIn] Cardozo, Celia [verfasserIn] Rico, Verónica [verfasserIn] Pitart, Cristina [verfasserIn] Marco, Francesc [verfasserIn] Balibrea, José M. [verfasserIn] Garcia-Vidal, Carolina [verfasserIn] del Río, Ana [verfasserIn] Soriano, Alex [verfasserIn] Martínez-Martínez, José A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Infection - München : Urban & Vogel, 1973, 49(2021), 4 vom: 16. März, Seite 693-702 |
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| Übergeordnetes Werk: |
volume:49 ; year:2021 ; number:4 ; day:16 ; month:03 ; pages:693-702 |
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| DOI / URN: |
10.1007/s15010-021-01592-y |
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| Katalog-ID: |
SPR044680716 |
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| 245 | 1 | 0 | |a Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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| 500 | |a © Springer-Verlag GmbH Germany, part of Springer Nature 2021 | ||
| 520 | |a Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. | ||
| 650 | 4 | |a Risk factors |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Antibiotic resistance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mortality |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Intra-abdominal infections |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Agüero, Daiana L. |e verfasserin |4 aut | |
| 700 | 1 | |a Morata, Laura |e verfasserin |4 aut | |
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| 700 | 1 | |a Cardozo, Celia |e verfasserin |4 aut | |
| 700 | 1 | |a Rico, Verónica |e verfasserin |4 aut | |
| 700 | 1 | |a Pitart, Cristina |e verfasserin |4 aut | |
| 700 | 1 | |a Marco, Francesc |e verfasserin |4 aut | |
| 700 | 1 | |a Balibrea, José M. |e verfasserin |4 aut | |
| 700 | 1 | |a Garcia-Vidal, Carolina |e verfasserin |4 aut | |
| 700 | 1 | |a del Río, Ana |e verfasserin |4 aut | |
| 700 | 1 | |a Soriano, Alex |e verfasserin |4 aut | |
| 700 | 1 | |a Martínez-Martínez, José A. |e verfasserin |4 aut | |
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10.1007/s15010-021-01592-y doi (DE-627)SPR044680716 (SPR)s15010-021-01592-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.75 bkl Rodríguez-Núñez, Olga verfasserin aut Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 Agüero, Daiana L. verfasserin aut Morata, Laura verfasserin aut Puerta-Alcalde, Pedro verfasserin aut Cardozo, Celia verfasserin aut Rico, Verónica verfasserin aut Pitart, Cristina verfasserin aut Marco, Francesc verfasserin aut Balibrea, José M. verfasserin aut Garcia-Vidal, Carolina verfasserin aut del Río, Ana verfasserin aut Soriano, Alex verfasserin aut Martínez-Martínez, José A. verfasserin aut Enthalten in Infection München : Urban & Vogel, 1973 49(2021), 4 vom: 16. März, Seite 693-702 (DE-627)31236945X (DE-600)2006315-5 1439-0973 nnns volume:49 year:2021 number:4 day:16 month:03 pages:693-702 https://dx.doi.org/10.1007/s15010-021-01592-y 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.75 ASE AR 49 2021 4 16 03 693-702 |
| spelling |
10.1007/s15010-021-01592-y doi (DE-627)SPR044680716 (SPR)s15010-021-01592-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.75 bkl Rodríguez-Núñez, Olga verfasserin aut Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 Agüero, Daiana L. verfasserin aut Morata, Laura verfasserin aut Puerta-Alcalde, Pedro verfasserin aut Cardozo, Celia verfasserin aut Rico, Verónica verfasserin aut Pitart, Cristina verfasserin aut Marco, Francesc verfasserin aut Balibrea, José M. verfasserin aut Garcia-Vidal, Carolina verfasserin aut del Río, Ana verfasserin aut Soriano, Alex verfasserin aut Martínez-Martínez, José A. verfasserin aut Enthalten in Infection München : Urban & Vogel, 1973 49(2021), 4 vom: 16. März, Seite 693-702 (DE-627)31236945X (DE-600)2006315-5 1439-0973 nnns volume:49 year:2021 number:4 day:16 month:03 pages:693-702 https://dx.doi.org/10.1007/s15010-021-01592-y 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.75 ASE AR 49 2021 4 16 03 693-702 |
| allfields_unstemmed |
10.1007/s15010-021-01592-y doi (DE-627)SPR044680716 (SPR)s15010-021-01592-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.75 bkl Rodríguez-Núñez, Olga verfasserin aut Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 Agüero, Daiana L. verfasserin aut Morata, Laura verfasserin aut Puerta-Alcalde, Pedro verfasserin aut Cardozo, Celia verfasserin aut Rico, Verónica verfasserin aut Pitart, Cristina verfasserin aut Marco, Francesc verfasserin aut Balibrea, José M. verfasserin aut Garcia-Vidal, Carolina verfasserin aut del Río, Ana verfasserin aut Soriano, Alex verfasserin aut Martínez-Martínez, José A. verfasserin aut Enthalten in Infection München : Urban & Vogel, 1973 49(2021), 4 vom: 16. März, Seite 693-702 (DE-627)31236945X (DE-600)2006315-5 1439-0973 nnns volume:49 year:2021 number:4 day:16 month:03 pages:693-702 https://dx.doi.org/10.1007/s15010-021-01592-y 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.75 ASE AR 49 2021 4 16 03 693-702 |
| allfieldsGer |
10.1007/s15010-021-01592-y doi (DE-627)SPR044680716 (SPR)s15010-021-01592-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.75 bkl Rodríguez-Núñez, Olga verfasserin aut Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 Agüero, Daiana L. verfasserin aut Morata, Laura verfasserin aut Puerta-Alcalde, Pedro verfasserin aut Cardozo, Celia verfasserin aut Rico, Verónica verfasserin aut Pitart, Cristina verfasserin aut Marco, Francesc verfasserin aut Balibrea, José M. verfasserin aut Garcia-Vidal, Carolina verfasserin aut del Río, Ana verfasserin aut Soriano, Alex verfasserin aut Martínez-Martínez, José A. verfasserin aut Enthalten in Infection München : Urban & Vogel, 1973 49(2021), 4 vom: 16. März, Seite 693-702 (DE-627)31236945X (DE-600)2006315-5 1439-0973 nnns volume:49 year:2021 number:4 day:16 month:03 pages:693-702 https://dx.doi.org/10.1007/s15010-021-01592-y 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.75 ASE AR 49 2021 4 16 03 693-702 |
| allfieldsSound |
10.1007/s15010-021-01592-y doi (DE-627)SPR044680716 (SPR)s15010-021-01592-y-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.75 bkl Rodríguez-Núñez, Olga verfasserin aut Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 Agüero, Daiana L. verfasserin aut Morata, Laura verfasserin aut Puerta-Alcalde, Pedro verfasserin aut Cardozo, Celia verfasserin aut Rico, Verónica verfasserin aut Pitart, Cristina verfasserin aut Marco, Francesc verfasserin aut Balibrea, José M. verfasserin aut Garcia-Vidal, Carolina verfasserin aut del Río, Ana verfasserin aut Soriano, Alex verfasserin aut Martínez-Martínez, José A. verfasserin aut Enthalten in Infection München : Urban & Vogel, 1973 49(2021), 4 vom: 16. März, Seite 693-702 (DE-627)31236945X (DE-600)2006315-5 1439-0973 nnns volume:49 year:2021 number:4 day:16 month:03 pages:693-702 https://dx.doi.org/10.1007/s15010-021-01592-y 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.75 ASE AR 49 2021 4 16 03 693-702 |
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Enthalten in Infection 49(2021), 4 vom: 16. März, Seite 693-702 volume:49 year:2021 number:4 day:16 month:03 pages:693-702 |
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We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. 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| author |
Rodríguez-Núñez, Olga |
| spellingShingle |
Rodríguez-Núñez, Olga ddc 610 bkl 44.75 misc Risk factors misc Antibiotic resistance misc Mortality misc Intra-abdominal infections Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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1439-0973 |
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610 ASE 44.75 bkl Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality Risk factors (dpeaa)DE-He213 Antibiotic resistance (dpeaa)DE-He213 Mortality (dpeaa)DE-He213 Intra-abdominal infections (dpeaa)DE-He213 |
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ddc 610 bkl 44.75 misc Risk factors misc Antibiotic resistance misc Mortality misc Intra-abdominal infections |
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ddc 610 bkl 44.75 misc Risk factors misc Antibiotic resistance misc Mortality misc Intra-abdominal infections |
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Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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(DE-627)SPR044680716 (SPR)s15010-021-01592-y-e |
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Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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Rodríguez-Núñez, Olga |
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Rodríguez-Núñez, Olga Agüero, Daiana L. Morata, Laura Puerta-Alcalde, Pedro Cardozo, Celia Rico, Verónica Pitart, Cristina Marco, Francesc Balibrea, José M. Garcia-Vidal, Carolina del Río, Ana Soriano, Alex Martínez-Martínez, José A. |
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antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
| abstract |
Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstractGer |
Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
| abstract_unstemmed |
Background Knowledge of resistance patterns is essential to choose empirical treatment. We aimed to determine the risk factors for antibiotic-resistant microorganisms (ARM) in intraabdominal infections (IAI) and their impact on mortality. Methods Retrospective cohort study of patients with bacteremia from IAI origin in a single hospital between January 2006 and July 2017. Results A total of 1485 episodes were recorded, including 381 (25.6%) due to ARM. Independent predictors of ARM were cirrhosis (OR 2; [95% CI 1.15–3.48]), immunosuppression (OR 1.49; 1.12–1.97), prior ceftazidime exposure (OR 3.7; 1.14–11.9), number of prior antibiotics (OR 2.33; 1.61–3.35 for 1 antibiotic), biliary manipulation (OR 1.53; 1.02–2.96), hospital-acquisition (OR 2.77; 1.89–4) and shock (OR 1.48; 1.07–2). Mortality rate of the whole cohort was 11.1%. Age (OR 1.03; 1.01–1.04), cirrhosis (OR 2.32; 1.07–4.38), urinary catheter (OR 1.99; 1.17–3.38), ultimately (OR 2.28; 1.47–3.51) or rapidly (OR 13.3; 7.12–24.9) fatal underlying disease, nosocomial infection (OR 2.76; 1.6–4.75), peritonitis (OR 1.95, 1.1–3.45), absence of fever (OR 2.17; 1.25–3.77), shock (OR 5.96; 3.89–9.13), and an ARM in non-biliary infections (OR 2.14; 1.19–3.83) were independent predictors of 30-day mortality. Source control (OR 0.24; 0.13–0.44) and 2015–2017 period (OR 0.29; 0.14–0.6) were protective. Conclusion Biliary manipulation and septic shock are predictors of ARM. The presence of an ARM from a non-biliary focus is a poor-prognosis indicator. Source control continues to be of paramount importance. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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Antibiotic-resistant microorganisms in patients with bloodstream infection of intraabdominal origin: risk factors and impact on mortality |
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https://dx.doi.org/10.1007/s15010-021-01592-y |
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Agüero, Daiana L. Morata, Laura Puerta-Alcalde, Pedro Cardozo, Celia Rico, Verónica Pitart, Cristina Marco, Francesc Balibrea, José M. Garcia-Vidal, Carolina del Río, Ana Soriano, Alex Martínez-Martínez, José A. |
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Agüero, Daiana L. Morata, Laura Puerta-Alcalde, Pedro Cardozo, Celia Rico, Verónica Pitart, Cristina Marco, Francesc Balibrea, José M. Garcia-Vidal, Carolina del Río, Ana Soriano, Alex Martínez-Martínez, José A. |
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10.1007/s15010-021-01592-y |
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2024-07-04T01:51:52.641Z |
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| score |
7.400939 |