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Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES)
BACKGROUND/AIM: The present study aimed to define the clinical and laboratory criteria for predicting patients that will not benefit from invasive mechanical ventilation (IMV) treatment and determine the prediction of mortality and prognosis of these critical ill patients. MATERIALS AND METHODS: The...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific and Technological Research Council of Turkey
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518657/ https://www.ncbi.nlm.nih.gov/pubmed/31655511 http://dx.doi.org/10.3906/sag-1904-96 |
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author | ÖZLÜ, Tevfik PEHLİVANLAR KÜÇÜK*, Mehtap KAYA, Akın YARAR, Esra KIRAKLI, Cenk ŞENGÖREN DİKİŞ, Özlem KEFELİ ÇELİK, Hale ÖZKAN, Serdar BEKTAŞ AKSOY, Hayriye KÜÇÜK, Ahmet Oğuzhan |
author_facet | ÖZLÜ, Tevfik PEHLİVANLAR KÜÇÜK*, Mehtap KAYA, Akın YARAR, Esra KIRAKLI, Cenk ŞENGÖREN DİKİŞ, Özlem KEFELİ ÇELİK, Hale ÖZKAN, Serdar BEKTAŞ AKSOY, Hayriye KÜÇÜK, Ahmet Oğuzhan |
author_sort | ÖZLÜ, Tevfik |
collection | PubMed |
description | BACKGROUND/AIM: The present study aimed to define the clinical and laboratory criteria for predicting patients that will not benefit from invasive mechanical ventilation (IMV) treatment and determine the prediction of mortality and prognosis of these critical ill patients. MATERIALS AND METHODS: The study was designed as an observational, multicenter, prospective, and cross-sectional clinical study. It was conducted by 75 researchers at 41 centers in intensive care units (ICUs) located in various geographical areas of Turkey. It included a total of 1463 ICU patients who were receiving invasive mechanical ventilation (IMV) treatment. A total of 158 parameters were examined via logistic regression analysis to identify independent risk factors for mortality; using these data, the IMV Mortality Prediction Score (IMPRES) scoring system was developed. RESULTS: The following cut-off scores were used to indicate mortality risk: <2, low risk; 2–5, moderate risk; 5.1–8, high risk; >8, very high risk. There was a 26.8% mortality rate among the 254 patients who had a total IMPRES score of lower than 2. The mortality rate was 93.3% for patients with total IMPRES scores of greater than 8 (P < 0.001). CONCLUSION: The present study included a large number of patients from various geographical areas of the country who were admitted to various types of ICUs, had diverse diagnoses and comorbidities, were intubated with various indications in either urgent or elective settings, and were followed by physicians from various specialties. Therefore, our data are more general and can be applied to a broader population. This study devised a new scoring system for decision-making for critically ill patients as to whether they need to be intubated or not and presents a rapid and accurate prediction of mortality and prognosis prior to ICU admission using simple clinical data. |
format | Online Article Text |
id | pubmed-7518657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Scientific and Technological Research Council of Turkey |
record_format | MEDLINE/PubMed |
spelling | pubmed-75186572020-09-28 Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) ÖZLÜ, Tevfik PEHLİVANLAR KÜÇÜK*, Mehtap KAYA, Akın YARAR, Esra KIRAKLI, Cenk ŞENGÖREN DİKİŞ, Özlem KEFELİ ÇELİK, Hale ÖZKAN, Serdar BEKTAŞ AKSOY, Hayriye KÜÇÜK, Ahmet Oğuzhan Turk J Med Sci Article BACKGROUND/AIM: The present study aimed to define the clinical and laboratory criteria for predicting patients that will not benefit from invasive mechanical ventilation (IMV) treatment and determine the prediction of mortality and prognosis of these critical ill patients. MATERIALS AND METHODS: The study was designed as an observational, multicenter, prospective, and cross-sectional clinical study. It was conducted by 75 researchers at 41 centers in intensive care units (ICUs) located in various geographical areas of Turkey. It included a total of 1463 ICU patients who were receiving invasive mechanical ventilation (IMV) treatment. A total of 158 parameters were examined via logistic regression analysis to identify independent risk factors for mortality; using these data, the IMV Mortality Prediction Score (IMPRES) scoring system was developed. RESULTS: The following cut-off scores were used to indicate mortality risk: <2, low risk; 2–5, moderate risk; 5.1–8, high risk; >8, very high risk. There was a 26.8% mortality rate among the 254 patients who had a total IMPRES score of lower than 2. The mortality rate was 93.3% for patients with total IMPRES scores of greater than 8 (P < 0.001). CONCLUSION: The present study included a large number of patients from various geographical areas of the country who were admitted to various types of ICUs, had diverse diagnoses and comorbidities, were intubated with various indications in either urgent or elective settings, and were followed by physicians from various specialties. Therefore, our data are more general and can be applied to a broader population. This study devised a new scoring system for decision-making for critically ill patients as to whether they need to be intubated or not and presents a rapid and accurate prediction of mortality and prognosis prior to ICU admission using simple clinical data. The Scientific and Technological Research Council of Turkey 2019-12-16 /pmc/articles/PMC7518657/ /pubmed/31655511 http://dx.doi.org/10.3906/sag-1904-96 Text en Copyright © 2019 The Author(s) This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Article ÖZLÜ, Tevfik PEHLİVANLAR KÜÇÜK*, Mehtap KAYA, Akın YARAR, Esra KIRAKLI, Cenk ŞENGÖREN DİKİŞ, Özlem KEFELİ ÇELİK, Hale ÖZKAN, Serdar BEKTAŞ AKSOY, Hayriye KÜÇÜK, Ahmet Oğuzhan Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title | Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title_full | Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title_fullStr | Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title_full_unstemmed | Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title_short | Can we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES) |
title_sort | can we predict patients that will not benefit from invasive mechanical ventilation? a novel scoring system in intensive care: the imv mortality prediction score (impres) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518657/ https://www.ncbi.nlm.nih.gov/pubmed/31655511 http://dx.doi.org/10.3906/sag-1904-96 |
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