dc.contributor.author | Ozturk, Savas | |
dc.contributor.author | Demir, Nurhan | |
dc.contributor.author | Yuzbasioglu, Bilgehan | |
dc.contributor.author | Calhan, Turan | |
dc.date.accessioned | 2022-07-04T13:07:48Z | |
dc.date.available | 2022-07-04T13:07:48Z | |
dc.identifier.citation | Demir N., Yuzbasioglu B., Calhan T., Ozturk S., "Prevalence and Prognostic Importance of High Fibrosis-4 Index in COVID-19 Patients", INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, cilt.2022, 2022 | |
dc.identifier.issn | 1368-5031 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_3b9e2939-ac77-4a25-9e7c-43de1657d9db | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/182368 | |
dc.identifier.uri | https://doi.org/10.1155/2022/1734896 | |
dc.identifier.uri | https://avesis.istanbul.edu.tr/api/publication/3b9e2939-ac77-4a25-9e7c-43de1657d9db/file | |
dc.description.abstract | Introduction. The fibrosis 4 (FIB-4) index was developed to predict advanced fibrosis in patients with liver disease. We aimed to evaluate the association of FIB-4 with risk factors for progression to critical illness in middle-aged patients hospitalized for coronavirus disease 2019 (COVID-19). Method. We included patients aged 35-65 years who were hospitalized following a positive RT-PCR SARS-Cov-2 test in a tertiary hospital. All data were obtained from the medical records of the patients during the first admission to the hospital. The FIB-4 index was calculated according to the equation (age (years) x AST (IU/L)/platelet count (10(9)/L)/root ALT (IU/L)). The FIB-4 index was divided into three categories according to the score categorisation: 2.67 = high risk. Results. A total of 619 confirmed COVID-19 patients (mean age = 52 yrs.) were included in this study; 37 (6.0%) were admitted to the intensive care unit (ICU), of which 44% were intubated and eight (1.3%) patients died during follow-up. The results of patients with high FIB-4 scores were compared with those with low FIB-4 scores. In patients with high FIB-4 scores, male gender, and advanced age, decreased neutrophil, lymphocyte, thrombocyte, and albumin counts, elevated AST, LDH, CK, ferritin, CRP, and D-dimer, and low GFR were the high-risk factors for critical illness. Additionally, the number of patients referred to ICU with high FIB-4 who died had higher scores than from those with low scores. Conclusion. The FIB-4 index derived from baseline data obtained during hospitalisation can be used as a simple, inexpensive, and straightforward indicator to predict ICU requirement and/or death in middle-aged hospitalized COVID-19 patients. | |
dc.language.iso | eng | |
dc.subject | Family Practice | |
dc.subject | Pharmacology (medical) | |
dc.subject | Fundamentals and Skills | |
dc.subject | General Health Professions | |
dc.subject | Pathophysiology | |
dc.subject | Pharmacy | |
dc.subject | Assessment and Diagnosis | |
dc.subject | Medicine (miscellaneous) | |
dc.subject | General Medicine | |
dc.subject | Drug Guides | |
dc.subject | Life Sciences | |
dc.subject | Health Sciences | |
dc.subject | Internal Medicine | |
dc.subject | TIP, GENEL & İÇECEK | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | FARMAKOLOJİ VE ECZACILIK | |
dc.subject | Farmakoloji ve Toksikoloji | |
dc.subject | Yaşam Bilimleri (LIFE) | |
dc.subject | Tıp | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Temel Tıp Bilimleri | |
dc.subject | Eczacılık | |
dc.subject | Temel Eczacılık Bilimleri | |
dc.subject | Yaşam Bilimleri | |
dc.subject | Temel Bilimler | |
dc.subject | Pharmacology | |
dc.subject | General Pharmacology, Toxicology and Pharmaceutics | |
dc.subject | Pharmacology, Toxicology and Pharmaceutics (miscellaneous) | |
dc.title | Prevalence and Prognostic Importance of High Fibrosis-4 Index in COVID-19 Patients | |
dc.type | Makale | |
dc.relation.journal | INTERNATIONAL JOURNAL OF CLINICAL PRACTICE | |
dc.contributor.department | Haseki Training & Res Hosp , , | |
dc.identifier.volume | 2022 | |
dc.contributor.firstauthorID | 3423729 | |