Literature DB >> 34866547

Which scoring system is effective in predicting mortality in patients with Crimean Congo hemorrhagic fever? A validation study.

Mehmet Bakir1, Caner Öksüz1, Faruk Karakeçili2, Nurcan Baykam3, Şener Barut4, Seyit Ali Büyüktuna1, Zülal Özkurt5, Murteza Öz1, Orçun Barkay2, Özlem Akdoğan3, Nazif Elaldi1, Murşit Hasbek6, Aynur Engin1.   

Abstract

We aimed to decide which scoring system is the best for the evaluation of the course of Crimean-Congo Hemorrhagic Fever (CCHF) by comparing scoring systems such as qSOFA (quick Sequential Organ Failure Assessment), SOFA (Sequential Organ Failure Assessment), APACHE II (Acute Physiology and Chronic Health Evaluation II) and SGS (Severity Grading System) in centers where patients with CCHF were monitored. The study was conducted with patients diagnosed with CCHF in five different centers where the disease was encountered most commonly. Patients having proven PCR and/or IgM positivity for CCHF were included in the study. The scores of the scoring systems on admission, at the 72nd hour and at the 120th hour were calculated and evaluated. The data of 388 patients were obtained from five centers and evaluated. SGS, SOFA and APACHE II were the best scoring systems in predicting mortality on admission. All scoring systems were significant in predicting mortality at the 72nd and 120th hours. On admission, there was a correlation between the qSOFA, SOFA and APACHE II scores and the SGS scores in the group of survivors. All scoring systems had a positive correlation in the same direction. The correlation coefficients were strong for qSOFA and SOFA, but poor for APACHE II. A one-unit rise in SGS increased the probability of death by 12.818 times. qSOFA did not provide significant results in predicting mortality on admission. SGS, SOFA and APACHE II performed best at admission and at the 72nd and 120th hours.

Entities:  

Keywords:  APACHE II; Crimean-Congo hemorrhagic fever; SGS; SOFA; qSOFA

Mesh:

Year:  2021        PMID: 34866547      PMCID: PMC9090416          DOI: 10.1080/20477724.2021.2012921

Source DB:  PubMed          Journal:  Pathog Glob Health        ISSN: 2047-7724            Impact factor:   3.735


  20 in total

1.  Viral load as a predictor of outcome in Crimean-Congo hemorrhagic fever.

Authors:  Mustafa Aydin Cevik; Ayşe Erbay; Hürrem Bodur; Selim Sirri Eren; Esragül Akinci; Kenan Sener; Pinar Ongürü; Ayhan Kubar
Journal:  Clin Infect Dis       Date:  2007-08-23       Impact factor: 9.079

2.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Predictive performance of quick Sepsis-related Organ Failure Assessment for mortality and ICU admission in patients with infection at the ED.

Authors:  Jun-Yu Wang; Yun-Xia Chen; Shu-Bin Guo; Xue Mei; Peng Yang
Journal:  Am J Emerg Med       Date:  2016-06-07       Impact factor: 2.469

4.  A new perspective to determine the severity of cases with Crimean-Congo hemorrhagic fever.

Authors:  Mehmet Bakir; Aynur Engin; Mustafa Gokhan Gozel; Nazif Elaldi; Saadettin Kilickap; Ziynet Cinar
Journal:  J Vector Borne Dis       Date:  2012-06       Impact factor: 1.688

5.  Analysis of risk-factors among patients with Crimean-Congo haemorrhagic fever virus infection: severity criteria revisited.

Authors:  O Ergonul; A Celikbas; N Baykam; S Eren; B Dokuzoguz
Journal:  Clin Microbiol Infect       Date:  2006-06       Impact factor: 8.067

6.  Quick SOFA Scores Predict Mortality in Adult Emergency Department Patients With and Without Suspected Infection.

Authors:  Adam J Singer; Jennifer Ng; Henry C Thode; Rory Spiegel; Scott Weingart
Journal:  Ann Emerg Med       Date:  2017-01-19       Impact factor: 5.721

7.  Severity scoring index for Crimean-Congo hemorrhagic fever and the impact of ribavirin and corticosteroids on fatality.

Authors:  Basak Dokuzoguz; Aysel Kocagül Celikbas; Şebnem Eren Gök; Nurcan Baykam; Mustafa Necati Eroglu; Önder Ergönül
Journal:  Clin Infect Dis       Date:  2013-08-14       Impact factor: 9.079

Review 8.  The SOFA score-development, utility and challenges of accurate assessment in clinical trials.

Authors:  Simon Lambden; Pierre Francois Laterre; Mitchell M Levy; Bruno Francois
Journal:  Crit Care       Date:  2019-11-27       Impact factor: 9.097

9.  Virus detection and monitoring of viral load in Crimean-Congo hemorrhagic fever virus patients.

Authors:  Roman Wölfel; Janusz T Paweska; Nadine Petersen; Antoinette A Grobbelaar; Patricia A Leman; Roger Hewson; Marie-Claude Georges-Courbot; Anna Papa; Stephan Günther; Christian Drosten
Journal:  Emerg Infect Dis       Date:  2007-07       Impact factor: 6.883

Review 10.  Crimean-Congo haemorrhagic fever.

Authors:  Onder Ergönül
Journal:  Lancet Infect Dis       Date:  2006-04       Impact factor: 25.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.