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The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition

OBJECTIVE: To develop a simple scoring system to predict 30 day in-hospital mortality of in-patients excluding those from intensive care units based on easily obtainable demographic, disease and nutrition related patient data. METHODS: Score development with general estimation equation methodology a...

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Autores principales: Hiesmayr, Michael, Frantal, Sophie, Schindler, Karin, Themessl-Huber, Michael, Mouhieddine, Mohamed, Schuh, Christian, Pernicka, Elisabeth, Schneider, Stéphane, Singer, Pierre, Ljunqvist, Olle, Pichard, Claude, Laviano, Alessandro, Kosak, Sigrid, Bauer, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441510/
https://www.ncbi.nlm.nih.gov/pubmed/26000634
http://dx.doi.org/10.1371/journal.pone.0127316
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author Hiesmayr, Michael
Frantal, Sophie
Schindler, Karin
Themessl-Huber, Michael
Mouhieddine, Mohamed
Schuh, Christian
Pernicka, Elisabeth
Schneider, Stéphane
Singer, Pierre
Ljunqvist, Olle
Pichard, Claude
Laviano, Alessandro
Kosak, Sigrid
Bauer, Peter
author_facet Hiesmayr, Michael
Frantal, Sophie
Schindler, Karin
Themessl-Huber, Michael
Mouhieddine, Mohamed
Schuh, Christian
Pernicka, Elisabeth
Schneider, Stéphane
Singer, Pierre
Ljunqvist, Olle
Pichard, Claude
Laviano, Alessandro
Kosak, Sigrid
Bauer, Peter
author_sort Hiesmayr, Michael
collection PubMed
description OBJECTIVE: To develop a simple scoring system to predict 30 day in-hospital mortality of in-patients excluding those from intensive care units based on easily obtainable demographic, disease and nutrition related patient data. METHODS: Score development with general estimation equation methodology and model selection by P-value thresholding based on a cross-sectional sample of 52 risk indicators with 123 item classes collected with questionnaires and stored in an multilingual online database. SETTING: Worldwide prospective cross-sectional cohort with 30 day in-hospital mortality from the nutritionDay 2006-2009 and an external validation sample from 2012. RESULTS: We included 43894 patients from 2480 units in 32 countries. 1631(3.72%) patients died within 30 days in hospital. The Patient- And Nutrition-Derived Outcome Risk Assessment (PANDORA) score predicts 30-day hospital mortality based on 7 indicators with 31 item classes on a scale from 0 to 75 points. The indicators are age (0 to 17 points), nutrient intake on nutritionDay (0 to 12 points), mobility (0 to 11 points), fluid status (0 to 10 points), BMI (0 to 9 points), cancer (9 points) and main patient group (0 to 7 points). An appropriate model fit has been achieved. The area under the receiver operating characteristic curve for mortality prediction was 0.82 in the development sample and 0.79 in the external validation sample. CONCLUSIONS: The PANDORA score is a simple, robust scoring system for a general population of hospitalised patients to be used for risk stratification and benchmarking.
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spelling pubmed-44415102015-05-28 The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition Hiesmayr, Michael Frantal, Sophie Schindler, Karin Themessl-Huber, Michael Mouhieddine, Mohamed Schuh, Christian Pernicka, Elisabeth Schneider, Stéphane Singer, Pierre Ljunqvist, Olle Pichard, Claude Laviano, Alessandro Kosak, Sigrid Bauer, Peter PLoS One Research Article OBJECTIVE: To develop a simple scoring system to predict 30 day in-hospital mortality of in-patients excluding those from intensive care units based on easily obtainable demographic, disease and nutrition related patient data. METHODS: Score development with general estimation equation methodology and model selection by P-value thresholding based on a cross-sectional sample of 52 risk indicators with 123 item classes collected with questionnaires and stored in an multilingual online database. SETTING: Worldwide prospective cross-sectional cohort with 30 day in-hospital mortality from the nutritionDay 2006-2009 and an external validation sample from 2012. RESULTS: We included 43894 patients from 2480 units in 32 countries. 1631(3.72%) patients died within 30 days in hospital. The Patient- And Nutrition-Derived Outcome Risk Assessment (PANDORA) score predicts 30-day hospital mortality based on 7 indicators with 31 item classes on a scale from 0 to 75 points. The indicators are age (0 to 17 points), nutrient intake on nutritionDay (0 to 12 points), mobility (0 to 11 points), fluid status (0 to 10 points), BMI (0 to 9 points), cancer (9 points) and main patient group (0 to 7 points). An appropriate model fit has been achieved. The area under the receiver operating characteristic curve for mortality prediction was 0.82 in the development sample and 0.79 in the external validation sample. CONCLUSIONS: The PANDORA score is a simple, robust scoring system for a general population of hospitalised patients to be used for risk stratification and benchmarking. Public Library of Science 2015-05-22 /pmc/articles/PMC4441510/ /pubmed/26000634 http://dx.doi.org/10.1371/journal.pone.0127316 Text en © 2015 Hiesmayr et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hiesmayr, Michael
Frantal, Sophie
Schindler, Karin
Themessl-Huber, Michael
Mouhieddine, Mohamed
Schuh, Christian
Pernicka, Elisabeth
Schneider, Stéphane
Singer, Pierre
Ljunqvist, Olle
Pichard, Claude
Laviano, Alessandro
Kosak, Sigrid
Bauer, Peter
The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title_full The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title_fullStr The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title_full_unstemmed The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title_short The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition
title_sort patient- and nutrition-derived outcome risk assessment score (pandora): development of a simple predictive risk score for 30-day in-hospital mortality based on demographics, clinical observation, and nutrition
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441510/
https://www.ncbi.nlm.nih.gov/pubmed/26000634
http://dx.doi.org/10.1371/journal.pone.0127316
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