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)

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dc.authoridYıldız, Tekin/0000-0002-2916-5824
dc.authoridÖztürk, Ayperi/0000-0003-0692-4784
dc.authoridPehlivanlar Küçük, Mehtap/0000-0003-2247-4074
dc.authoridBalas, Şener/0000-0002-9154-3179
dc.authoridÖzkoçak Turan, Işıl/0000-0002-0405-0107
dc.authoridAksoy, Iskender/0000-0002-4426-3342
dc.authoridAydemir, Semih/0000-0002-1087-3070
dc.contributor.authorÖzlü, Tevfik
dc.contributor.authorPehlivanlar Küçük, Mehtap
dc.contributor.authorKaya, Akın
dc.contributor.authorYarar, Esra
dc.contributor.authorKirakli, Cenk
dc.contributor.authorŞengören Dikiş, Özlem
dc.contributor.authorKefeli Çelik, Hale
dc.date.accessioned2025-01-21T16:36:20Z
dc.date.available2025-01-21T16:36:20Z
dc.date.issued2019
dc.departmentKırıkkale Üniversitesi
dc.description.abstractBackground/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 1M PRES 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.
dc.identifier.doi10.3906/sag-1904-96
dc.identifier.endpage1673
dc.identifier.issn1300-0144
dc.identifier.issn1303-6165
dc.identifier.issue6
dc.identifier.pmid31655511
dc.identifier.startpage1662
dc.identifier.urihttps://doi.org/10.3906/sag-1904-96
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24298
dc.identifier.volume49
dc.identifier.wosWOS:000504051300010
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTubitak Scientific & Technological Research Council Turkey
dc.relation.ispartofTurkish Journal of Medical Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectCritical care; ethics; intubation; invasive mechanical ventilation; scoring systems; prediction
dc.titleCan we predict patients that will not benefit from invasive mechanical ventilation? A novel scoring system in intensive care: the IMV Mortality Prediction Score (IMPRES)
dc.typeArticle

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