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Title: | Mortality prediction ability of phycians in intensive care units of Turkey (MOPAP) |
Authors: | Pehlivanlar Kucuk, Mehtap Ozlu, Tevfik Kucuk, Ahmet Oguzhan Kaya, Akin Kirakli, Cenk Sengoren Dikis, Ozlem Kefeli Celik, Hale Ozkan, Serdar Bektas Aksoy, Hayriye Palabiyik, Onur Cortuk, Mustafa Ergun, Recai Kozanhan, Betul Ercen Diken, Ozlem Bacakoglu, Feza Uzun Kaya, Suheyla Aksoy, Iskender Cinemre, Hakan Zerman, Avsar Ozkocak Turan, Isil Fazlioglu, Nevin Yildirim, Fatma Gunay, Ersin Akan, Belgin Arpag, Huseyin Sezgi, Cengizhan Can, Atilla Yalcinsoy, Murat Karaoglanoglu, Selen Sehitogullari, Abidin Arslan, Sertac Aydemir, Yusuf Ozturk, Ayperi Hocanli, Iclal Salmanoglu, Musa Ekici, Aydanur Ataman, Sena Edipoglu, Ozlem Yildiz, Tekin Doganay, Zahide Dagli, Celalettin Arslan Aksu, Esra Zitouni, Burcak Egilez, Ayse Ilksen Sahiner, Yeliz Korkmaz Ekren, Pervin Inonu Koseoglu, Handan Baydin, Ahmet Nalbant, Ahmet Aydin, Davut Bindal, Ahmet Balas, Sener Esen Karamise, Sule Araz, Omer Acar, Turkan Kahraman, Hasan Demir, Melike Burnik, Cengiz Canakci, Ebru Bilgin, Cahit Yagan, Ozgur Aydemir, Semih Onem, Yalcin Gurel Durmus, Zerrin Ordu Üniversitesi 0000-0002-6923-736X 0000-0002-6993-0519 0000-0002-0850-4524 0000-0003-4756-3575 0000-0003-3876-4279 0000-0003-1589-3553 0000-0003-2247-4074 0000-0003-2213-5881 0000-0001-6013-7330 0000-0002-9603-2861 0000-0003-0692-4784 0000-0003-2001-914X 0000-0002-4897-4205 0000-0003-3407-7359 0000-0002-4426-3342 0000-0003-4881-3097 0000-0003-2479-2949 0000-0002-1087-3070 0000-0002-2916-5824 0000-0003-2093-9229 0000-0002-4390-5198 0000-0003-1920-4778 0000-0002-5377-3870 0000-0002-8983-644X |
Keywords: | Intensive care unit, mortality, prediction, mechanical ventilation MECHANICAL VENTILATION, HOSPITAL MORTALITY, PROGNOSTIC-FACTORS, OUTCOMES, PHYSICIANS, MULTICENTER, ADMISSION |
Issue Date: | 2020 |
Publisher: | TURKISH ASSOC TUBERCULOSIS & THORAX-ANKARA |
Citation: | Pehlivanlar Küçük, M., Özlü, T., Küçük, AO., Kaya, A., Kirakli, C., Sengören Dikis, ÖS., Kefeli Çelik, H., Özkan, S., Bektas Aksoy, H., Palabiyik, O., Çörtük, M., Ergün, R., Kozanhan, B., Erçen Diken, Ö., Bacakoglu, F., Uzun Kaya, S., Aksoy, I., Cinemre, H., Zerman, A., Özkoçak Turan, I., Fazlioglu, N., Yildirim, F., Günay, E., Akan, B., Arpag, H., Sezgi, C., Can, A., Yalçinsoy, M., Karaoglanoglu, S., Sehitogullari, A., Arslan, S., Aydemir, Y., Öztürk, A., Hocanli, I., Salmanoglu, M., Ekici, A., Ataman, S., Edipoglu, Ö., Yildiz, T., Doganay, Z., Dagli, C., Arslan Aksu, E., Zitouni, B., Egilez, AI., Sahiner, Y., Korkmaz Ekren, P., Inönü Köseoglu, H., Baydin, A., Nalbant, A., Aydin, D., Bindal, A., Balas, S., Esen Karamise, S., Araz, Ö., Acar, T., Kahraman, H., Demir, M., Burnik, C., Çanakçi, E., Bilgin, C., Yagan, Ö., Aydemir, S., Önem, Y., Gürel Durmus, Z. (2020). Mortality prediction ability of phycians in intensive care units of Turkey (MOPAP). Tuberk. Torak, 68(3), 205-217. https://doi.org/10.5578/tt.70135 |
Abstract: | Introduction: Intensive care physicians are increasingly involved in decision making about the prognosis of intensive care unit ICU patients. With this study; we aimed to evaluate the power of clinician foresight at prediction of mortality in patient at triage to intensive care and patient follow-up. Materials and Methods: This study was conducted in ICUs located in various geographical regions of Turkey between January 1, 2017-April 30, 2017. The clinical research was planned as observational, multicenter, cross-sectional. Results: A total of 1169 intubated patients were followed in 37 different ICU. At the beginning of the follow-up we asked the physician who will follow the patient in the ICU to give a score for the probability of survival of the patients. Scoring included a total of 6 scores from 0 to 5, with the 0 the worst probability 5 being the best. According to this distribution, only 1 (0.9%) of 113 patients who were given 0 points survived. Three (6.1%) of 49 with the best score of 5 died. Survival rates were significantly different in each score group (r: -0.488; p< 0.001). After the combined mortality estimation scores based on the clinical observations of the physicians (0 and 1 point score was combined as non-survive, 4 and 5 score was combined as survived) 320 of the 545 patients were estimated to be dead and 225 were predicted survival. Sensitivity and spesifity of scoring system to predict mortality was 91.56% (95% Cl: 87.96-94.37), 76.89% (95% CI: 70.82-82.23) respectively. Conclusion: In this study, we concluded that the physicians who follow the patients in the ICU can predict the poor prognosis at the time of admission and the high mortality rate. The physician's opinion on mortality estimation should be considered in intensive care mortality scoring in addition to other laboratory and clinical parameters. |
Description: | WoS Categories: Respiratory System Web of Science Index: Emerging Sources Citation Index (ESCI) Research Areas: Respiratory System |
URI: | http://dx.doi.org/10.5578/tt.70135 https://www.webofscience.com/wos/woscc/full-record/WOS:000590890600001 http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/5337 |
ISSN: | 0494-1373 |
Appears in Collections: | Dahili Tıp Bilimleri |
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