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, TEVFİK; Pehlivanlar Kucuk, Mehtap; Kaya, Akin; Yarar, Esra; Kirakli, Cenk; Sengoren Dikis, Ozlem; Kefeli Celik, Hale; Ozkan, Serdar; Bektas Aksoy, Hayriye; Kucku, Ahmet; Palabiyik, Onur; Cortuk, Mustafa; Ergun, Recai; Kozanhan, Betul; Diken, Ozlem; Bacakoglu, Feza; Uzun, Suheyla; Aksoy, Iskender; Cinemre, Hakan; Zerman, Avsar; Usalan, Adnan; Turan, Isil; Ozdemir, Esra; Fazlioglu, Nevin; Yildirim, Fatma; Gunay, Ersin; Yilmaz, Nafiye; Acar, Bilgehan; Akan, Belgin; Arpag, Huseyin; Sezgi, Cengizhan; Can, Atilla; Yalcinsoy, Murat; Karaoglanoglu, Selen; Sehitogullari, Abidin; Arslan, Sertac; Aydemir, Yusuf; Ozturk, Ayperi; Hocanli, Iclal; Tutluoglu, Bulent; Capraz, Firuz; Salmanoglu, Musa; Ekici, Aydanur; Murat, Naci; Sahin, Hatice; Ataman, Sena; Edipoglu, Ozlem; Yildiz, Tekin; Doganay, Zahide; Dagli, Celalettin; Aksu, Esra; Zitouni, Burcak; Egilmez, Ayse; Sahiner, Yeliz; Ekren, PERVİN; Durmus, Zerrin; Koseoglu, Handan; Baydin, Ahmet; Nalbant, Ahmet; Aydin, Davut; Bindal, Ahmet; Balas, Sener; Karamise, Sule; Araz, Omer; Acar, Turkan; Kahraman, Hasan; Demir, Melike; Burnik, Cengiz; Canakci, Ebru; Bilgin, Cahit; Yagan, Ozgur; Aydemir, Semih; Gucyetmez, Bulent; Benli, Mine; Onem, Yalcin

doi:10.3906/sag-1904-96

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)

Atıf İçin Kopyala

ÖZLÜ T., Pehlivanlar Kucuk M., Kaya A., Yarar E., Kirakli C., Sengoren Dikis O., ...Daha Fazla

TURKISH JOURNAL OF MEDICAL SCIENCES, cilt.49, ss.1662-1673, 2019 (SCI İndekslerine Giren Dergi)

Cilt numarası: 49 Konu: 6
Basım Tarihi: 2019
Doi Numarası: 10.3906/sag-1904-96
Dergi Adı: TURKISH JOURNAL OF MEDICAL SCIENCES
Sayfa Sayıları: ss.1662-1673

Özet

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.