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)

  • Yazar/lar ÖZLÜ, Tevfik
    PEHLİVANLAR KÜÇÜK, Mehtap
    KAYA, Akın
    YARAR, Esra
    KIRAKLI, Sami Cenk
    ŞENGÖREN DİKİŞ, Özlem
    KEFELİ ÇELİK, Hale
    ÖZKAN, Serdar
    BEKTAŞ AKSOY, Hayriye
    KÜÇÜK, Ahmet Oğuzhan
  • Yayın Türü Makale
  • Yayın Tarihi 2019
  • DOI Numarası 10.3906/sag-1904-96
  • Yayıncı Turkiye Klinikleri
  • Tek Biçim Adres http://hdl.handle.net/20.500.12498/2828

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. © TÜBİTAK.

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ISSN
(dc.identifier.issn)
13000144 (ISSN)
Yayıncı
(dc.publisher)
Turkiye Klinikleri
Eser Adı
(dc.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)
Özet
(dc.description.abstract)
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. © TÜBİTAK.
Yayın Tarihi
(dc.date.issued)
2019
Kayıt Giriş Tarihi
(dc.date.accessioned)
2020-08-07T12:51:48Z
Açık Erişim tarihi
(dc.date.available)
2020-08-07T12:51:48Z
Yayın Dili
(dc.language.iso)
eng
Yayın Türü
(dc.type)
Makale
Yazar/lar
(dc.contributor.author)
ÖZLÜ, Tevfik
Yazar/lar
(dc.contributor.author)
PEHLİVANLAR KÜÇÜK, Mehtap
Yazar/lar
(dc.contributor.author)
KAYA, Akın
Yazar/lar
(dc.contributor.author)
YARAR, Esra
Yazar/lar
(dc.contributor.author)
KIRAKLI, Sami Cenk
Yazar/lar
(dc.contributor.author)
ŞENGÖREN DİKİŞ, Özlem
Yazar/lar
(dc.contributor.author)
KEFELİ ÇELİK, Hale
Yazar/lar
(dc.contributor.author)
ÖZKAN, Serdar
Yazar/lar
(dc.contributor.author)
BEKTAŞ AKSOY, Hayriye
Yazar/lar
(dc.contributor.author)
KÜÇÜK, Ahmet Oğuzhan
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/2828
DOI Numarası
(dc.identifier.doi)
10.3906/sag-1904-96
Atıf Dizini
(dc.source.database)
Scopus
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