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A Korean Predictive Model for Postoperative Nausea and Vomiting
Postoperative nausea and vomiting (PONV) is one of the most common and distressing complications after surgery. An identification of risk factors associated with PONV would make it easier to select specific patients for effective antiemetic therapy. We designed a case-controlled study to identify th...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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The Korean Academy of Medical Sciences
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2779278/ https://www.ncbi.nlm.nih.gov/pubmed/16224155 http://dx.doi.org/10.3346/jkms.2005.20.5.811 |
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author | Choi, Duck Hwan Ko, Justin Sang Ahn, Hyun Joo Kim, Jie Ae |
author_facet | Choi, Duck Hwan Ko, Justin Sang Ahn, Hyun Joo Kim, Jie Ae |
author_sort | Choi, Duck Hwan |
collection | PubMed |
description | Postoperative nausea and vomiting (PONV) is one of the most common and distressing complications after surgery. An identification of risk factors associated with PONV would make it easier to select specific patients for effective antiemetic therapy. We designed a case-controlled study to identify the risk factors for PONV in 5,272 surgical patients. At postoperative 2 and 24 hr, patients were visited and interviewed on the presence and severity of PONV. Thirty nine percent of patients experienced one or more episodes of nausea or vomiting. Five risk factors were highly predictive of PONV: 1) female, 2) history of previous PONV or motion sickness, 3) duration of anesthesia more than 1 hour, 4) non-smoking status, and 5) use of opioid in the form of patient controlled analgesia (PCA), in the order of relevance. The formula to calculate the probability of PONV using the multiple regression analysis was as follows: P (probability of PONV)=1/1+e(-Z), Z=-1.885+0.894 (gender)+0.661 (history)+0.584 (duration of anesthesia)+0.196 (smoking status) +0.186 (use of PCA-based opioid) where gender: female=1, male=0; history of previous PONV or motion sickness: yes=1, no=0; duration of anesthesia:more than 1 hr=1, less than or 1 hr=0; smoking status: no=1, yes=0; use of PCA-based opioid: yes=1, no=0. |
format | Text |
id | pubmed-2779278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | The Korean Academy of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-27792782009-11-20 A Korean Predictive Model for Postoperative Nausea and Vomiting Choi, Duck Hwan Ko, Justin Sang Ahn, Hyun Joo Kim, Jie Ae J Korean Med Sci Original Article Postoperative nausea and vomiting (PONV) is one of the most common and distressing complications after surgery. An identification of risk factors associated with PONV would make it easier to select specific patients for effective antiemetic therapy. We designed a case-controlled study to identify the risk factors for PONV in 5,272 surgical patients. At postoperative 2 and 24 hr, patients were visited and interviewed on the presence and severity of PONV. Thirty nine percent of patients experienced one or more episodes of nausea or vomiting. Five risk factors were highly predictive of PONV: 1) female, 2) history of previous PONV or motion sickness, 3) duration of anesthesia more than 1 hour, 4) non-smoking status, and 5) use of opioid in the form of patient controlled analgesia (PCA), in the order of relevance. The formula to calculate the probability of PONV using the multiple regression analysis was as follows: P (probability of PONV)=1/1+e(-Z), Z=-1.885+0.894 (gender)+0.661 (history)+0.584 (duration of anesthesia)+0.196 (smoking status) +0.186 (use of PCA-based opioid) where gender: female=1, male=0; history of previous PONV or motion sickness: yes=1, no=0; duration of anesthesia:more than 1 hr=1, less than or 1 hr=0; smoking status: no=1, yes=0; use of PCA-based opioid: yes=1, no=0. The Korean Academy of Medical Sciences 2005-10 2005-10-31 /pmc/articles/PMC2779278/ /pubmed/16224155 http://dx.doi.org/10.3346/jkms.2005.20.5.811 Text en Copyright © 2005 The Korean Academy of Medical Sciences http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Choi, Duck Hwan Ko, Justin Sang Ahn, Hyun Joo Kim, Jie Ae A Korean Predictive Model for Postoperative Nausea and Vomiting |
title | A Korean Predictive Model for Postoperative Nausea and Vomiting |
title_full | A Korean Predictive Model for Postoperative Nausea and Vomiting |
title_fullStr | A Korean Predictive Model for Postoperative Nausea and Vomiting |
title_full_unstemmed | A Korean Predictive Model for Postoperative Nausea and Vomiting |
title_short | A Korean Predictive Model for Postoperative Nausea and Vomiting |
title_sort | korean predictive model for postoperative nausea and vomiting |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2779278/ https://www.ncbi.nlm.nih.gov/pubmed/16224155 http://dx.doi.org/10.3346/jkms.2005.20.5.811 |
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