Title |
Impact of ventilator-associated pneumonia on mortality and epidemiological features of patients with secondary peritonitis
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Published in |
Annals of Intensive Care, April 2016
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DOI | 10.1186/s13613-016-0137-5 |
Pubmed ID | |
Authors |
María Heredia-Rodríguez, María Teresa Peláez, Inmaculada Fierro, Esther Gómez-Sánchez, Estefanía Gómez-Pesquera, Mario Lorenzo, F. Javier Álvarez-González, Juan Bustamante-Munguira, José María Eiros, Jesús F. Bermejo-Martin, José I. Gómez-Herreras, Eduardo Tamayo |
Abstract |
Despite the significant impact of nosocomial infections on the morbidity and mortality of patients staying in the intensive care unit (ICU), no study over the past 20 years has focused specifically on VAP following secondary peritonitis. The objective of the present study was to determine in-hospital mortality and epidemiological features attributed to ventilator-associated pneumonia (VAP) following secondary peritonitis. Prospective observational study involved 418 consecutive patients admitted in the ICU. Univariate and multivariate analyses were performed to identify risk factors associated with mortality and development of VAP. The incidence of VAP following secondary peritonitis was 9.6 %. Risk factors associated with the development of VAP were hospital-acquired peritonitis, requiring >48 h of mechanical ventilation, and SOFA score. The onset of VAP was late in majority of patients. VAP was developed about 16.8 days after the initiation of the peritonitis. Etiological microorganisms responsible for the peritonitis were different than for VAP. The 90-day in-hospital mortality rate was 47.5 % of VAP patients. Independent factors associated with 30- to 90-day in-hospital mortality were VAP and SOFA. In light of the impact on morbidity and mortality in the ICU, more attention should be given to the concurrent features among VAP and secondary peritonitis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Postgraduate | 9 | 26% |
Student > Master | 5 | 15% |
Other | 4 | 12% |
Student > Doctoral Student | 3 | 9% |
Researcher | 3 | 9% |
Other | 5 | 15% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 15 | 44% |
Nursing and Health Professions | 7 | 21% |
Agricultural and Biological Sciences | 2 | 6% |
Unspecified | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 6% |
Unknown | 6 | 18% |