Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.10/2257 |
Resumo: | BACKGROUND: Postoperative pneumonia is associated with increased morbidity, mortality and costs. Prediction models of pneumonia that are currently available are based on retrospectively collected data and administrative coding systems. OBJECTIVE: To identify independent variables associated with the occurrence of postoperative pneumonia. DESIGN: A prospective observational study of a multicentre cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe database). SETTING: Sixty-three hospitals in Europe. PATIENTS: Patients undergoing surgery under general and/or regional anaesthesia during a 7-day recruitment period. MAIN OUTCOME MEASURE: The primary outcome was postoperative pneumonia. DEFINITION: the need for treatment with antibiotics for a respiratory infection and at least one of the following criteria: new or changed sputum; new or changed lung opacities on a clinically indicated chest radiograph; temperature more than 38.3 °C; leucocyte count more than 12 000 μl. RESULTS: Postoperative pneumonia occurred in 120 out of 5094 patients (2.4%). Eighty-two of the 120 (68.3%) patients with pneumonia required ICU admission, compared with 399 of the 4974 (8.0%) without pneumonia (P < 0.001). We identified five variables independently associated with postoperative pneumonia: functional status [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.58 to 3.12], pre-operative SpO2 values while breathing room air (OR 0.83, 95% CI 0.78 to 0.84), intra-operative colloid administration (OR 2.97, 95% CI 1.94 to 3.99), intra-operative blood transfusion (OR 2.19, 95% CI 1.41 to 4.71) and surgical site (open upper abdominal surgery OR 3.98, 95% CI 2.19 to 7.59). The model had good discrimination (c-statistic 0.89) and calibration (Hosmer-Lemeshow P = 0.572). CONCLUSION: We identified five variables independently associated with postoperative pneumonia. The model performed well and after external validation may be used for risk stratification and management of patients at risk of postoperative pneumonia. |
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Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study.AnesthesiaPostoperative complicationsRespiratory insufficiencyPneumoniaHospital MortalityBACKGROUND: Postoperative pneumonia is associated with increased morbidity, mortality and costs. Prediction models of pneumonia that are currently available are based on retrospectively collected data and administrative coding systems. OBJECTIVE: To identify independent variables associated with the occurrence of postoperative pneumonia. DESIGN: A prospective observational study of a multicentre cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe database). SETTING: Sixty-three hospitals in Europe. PATIENTS: Patients undergoing surgery under general and/or regional anaesthesia during a 7-day recruitment period. MAIN OUTCOME MEASURE: The primary outcome was postoperative pneumonia. DEFINITION: the need for treatment with antibiotics for a respiratory infection and at least one of the following criteria: new or changed sputum; new or changed lung opacities on a clinically indicated chest radiograph; temperature more than 38.3 °C; leucocyte count more than 12 000 μl. RESULTS: Postoperative pneumonia occurred in 120 out of 5094 patients (2.4%). Eighty-two of the 120 (68.3%) patients with pneumonia required ICU admission, compared with 399 of the 4974 (8.0%) without pneumonia (P < 0.001). We identified five variables independently associated with postoperative pneumonia: functional status [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.58 to 3.12], pre-operative SpO2 values while breathing room air (OR 0.83, 95% CI 0.78 to 0.84), intra-operative colloid administration (OR 2.97, 95% CI 1.94 to 3.99), intra-operative blood transfusion (OR 2.19, 95% CI 1.41 to 4.71) and surgical site (open upper abdominal surgery OR 3.98, 95% CI 2.19 to 7.59). The model had good discrimination (c-statistic 0.89) and calibration (Hosmer-Lemeshow P = 0.572). CONCLUSION: We identified five variables independently associated with postoperative pneumonia. The model performed well and after external validation may be used for risk stratification and management of patients at risk of postoperative pneumonia.Lippincott, Williams & WilkinsRepositório do Hospital Prof. Doutor Fernando FonsecaRussotto, VSabaté, SCanet, JCarmona, C, et al.2019-05-17T08:47:49Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.10/2257engEur J Anaesthesiol. 2019 Feb;36(2):93-1041365-234610.1097/EJA.0000000000000921metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-20T15:52:56Zoai:repositorio.hff.min-saude.pt:10400.10/2257Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:53:13.232805Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
title |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
spellingShingle |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. Russotto, V Anesthesia Postoperative complications Respiratory insufficiency Pneumonia Hospital Mortality |
title_short |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
title_full |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
title_fullStr |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
title_full_unstemmed |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
title_sort |
Development of a prediction model for postoperative pneumonia: A multicentre prospective observational study. |
author |
Russotto, V |
author_facet |
Russotto, V Sabaté, S Canet, J Carmona, C, et al. |
author_role |
author |
author2 |
Sabaté, S Canet, J Carmona, C, et al. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório do Hospital Prof. Doutor Fernando Fonseca |
dc.contributor.author.fl_str_mv |
Russotto, V Sabaté, S Canet, J Carmona, C, et al. |
dc.subject.por.fl_str_mv |
Anesthesia Postoperative complications Respiratory insufficiency Pneumonia Hospital Mortality |
topic |
Anesthesia Postoperative complications Respiratory insufficiency Pneumonia Hospital Mortality |
description |
BACKGROUND: Postoperative pneumonia is associated with increased morbidity, mortality and costs. Prediction models of pneumonia that are currently available are based on retrospectively collected data and administrative coding systems. OBJECTIVE: To identify independent variables associated with the occurrence of postoperative pneumonia. DESIGN: A prospective observational study of a multicentre cohort (Prospective Evaluation of a RIsk Score for postoperative pulmonary COmPlications in Europe database). SETTING: Sixty-three hospitals in Europe. PATIENTS: Patients undergoing surgery under general and/or regional anaesthesia during a 7-day recruitment period. MAIN OUTCOME MEASURE: The primary outcome was postoperative pneumonia. DEFINITION: the need for treatment with antibiotics for a respiratory infection and at least one of the following criteria: new or changed sputum; new or changed lung opacities on a clinically indicated chest radiograph; temperature more than 38.3 °C; leucocyte count more than 12 000 μl. RESULTS: Postoperative pneumonia occurred in 120 out of 5094 patients (2.4%). Eighty-two of the 120 (68.3%) patients with pneumonia required ICU admission, compared with 399 of the 4974 (8.0%) without pneumonia (P < 0.001). We identified five variables independently associated with postoperative pneumonia: functional status [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.58 to 3.12], pre-operative SpO2 values while breathing room air (OR 0.83, 95% CI 0.78 to 0.84), intra-operative colloid administration (OR 2.97, 95% CI 1.94 to 3.99), intra-operative blood transfusion (OR 2.19, 95% CI 1.41 to 4.71) and surgical site (open upper abdominal surgery OR 3.98, 95% CI 2.19 to 7.59). The model had good discrimination (c-statistic 0.89) and calibration (Hosmer-Lemeshow P = 0.572). CONCLUSION: We identified five variables independently associated with postoperative pneumonia. The model performed well and after external validation may be used for risk stratification and management of patients at risk of postoperative pneumonia. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-17T08:47:49Z 2019-01-01T00:00:00Z 2019-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.10/2257 |
url |
http://hdl.handle.net/10400.10/2257 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Eur J Anaesthesiol. 2019 Feb;36(2):93-104 1365-2346 10.1097/EJA.0000000000000921 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
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metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Lippincott, Williams & Wilkins |
publisher.none.fl_str_mv |
Lippincott, Williams & Wilkins |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130399603949568 |