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pages 519-528
Risk Stratification in Severe Sepsis: Organ Failure Scores, PIRO or Both?
1
Unit of Polyvalent Intensive Care, Hospital de St. Antonio dos Capuchos Centro Hospitalar de Lisboa Central, E.P.E., Lisbon, Portugal
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Publication type: Book Chapter
Publication date: 2010-06-26
SJR: —
CiteScore: —
Impact factor: —
ISSN: 09425381
Abstract
The use of all-cause hospital mortality as the sole or major endpoint for the evaluation of clinical trials in intensive care was challenged in the mid 1980s, in the aftermath of a very long series of negative clinical trials in patients with sepsis, severe sepsis, and septic shock [1]. This outcome measure, until then viewed as the golden standard in clinical trials in intensive care, is, beyond any doubt, a very relevant endpoint both for researchers and for clinicians. Its use has been contested because hospital policy can and does change the location of deaths (e.g., discharging patients to the ward to die) and mortality rates can, therefore, be significantly underestimated in hospitals that discharge patients very early in the course of their disease to other facilities [2].
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Moreno R. P., Metnitz P., Bauer P. Risk Stratification in Severe Sepsis: Organ Failure Scores, PIRO or Both? // Yearbook of Intensive Care and Emergency Medicine. 2010. pp. 519-528.
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Moreno R. P., Metnitz P., Bauer P. Risk Stratification in Severe Sepsis: Organ Failure Scores, PIRO or Both? // Yearbook of Intensive Care and Emergency Medicine. 2010. pp. 519-528.
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TY - GENERIC
DO - 10.1007/978-3-642-10286-8_48
UR - https://doi.org/10.1007/978-3-642-10286-8_48
TI - Risk Stratification in Severe Sepsis: Organ Failure Scores, PIRO or Both?
T2 - Yearbook of Intensive Care and Emergency Medicine
AU - Moreno, R. P.
AU - Metnitz, P.
AU - Bauer, P.
PY - 2010
DA - 2010/06/26
PB - Springer Nature
SP - 519-528
SN - 0942-5381
ER -
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@incollection{2010_Moreno,
author = {R. P. Moreno and P. Metnitz and P. Bauer},
title = {Risk Stratification in Severe Sepsis: Organ Failure Scores, PIRO or Both?},
publisher = {Springer Nature},
year = {2010},
pages = {519--528},
month = {jun}
}