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Salahshour F, Karimpour Reyhan S, Zendedel K, Seifouri K, Seyyedsalehi MS, Naghavi P, Abbaszadeh M, Esteghamati A, Nakhjavani M, Rabizadeh S. FIB-4 Index Can Predict Mortality in Hospitalized Patients with COVID-19 Infection, Independent of CT Severity Score. ARCHIVES OF IRANIAN MEDICINE 2025; 28:88-94. [PMID: 40062496 PMCID: PMC11892101 DOI: 10.34172/aim.33514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 12/25/2024] [Accepted: 01/01/2025] [Indexed: 05/13/2025]
Abstract
BACKGROUND The fibrosis 4 (FIB-4) index is typically used in assessing liver fibrosis, and has shown potential in predicting the outcome in various diseases. This study aims to evaluate the predictive power of the FIB-4 index for mortality in COVID-19 patients admitted to a reference hospital in Tehran, Iran. METHODS In this prospective cohort study, 387 patients with COVID-19 without diabetes, were categorized into deceased and surviving groups. We compared anthropometric and demographic data, liver function tests, CT scores, and FIB-4 indices between the groups. Multivariate logistic regression assessed the independent association of FIB-4 with mortality. RESULTS Among the 387 patients, (all non-diabetics), 58 (15%) died, with a higher mortality rate observed in patients with a FIB-4 index≥2.6 (63.4%) compared to those with FIB-4<2.6 (29.7%). Deceased patients were considerably older and more likely to be hypertensive (P values<0.001). After adjustment of confounding factors, a FIB-4 index≥2.6 was found to be independently associated with increased mortality (OR: 13.511, 95% CI: 1.356-134.580, P=0.026). CONCLUSION The FIB-4 index, calculable by routine laboratory tests, may be a valuable prognostic factor for COVID-19 mortality. This easily obtainable marker could help identify high-risk patients early, potentially allowing for more rapid intervention and treatment prioritization.
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Affiliation(s)
- Faeze Salahshour
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Karimpour Reyhan
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Zendedel
- Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Kiana Seifouri
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Monireh Sadat Seyyedsalehi
- Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy
| | - Parnian Naghavi
- Department of Information Engineering, University of Padua, Padua, Italy
| | - Mahsa Abbaszadeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Esteghamati
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Manouchehr Nakhjavani
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Soghra Rabizadeh
- Endocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Kamiya Y, Shinoda M, Ishii N, Yamamoto S, Sekine T, Morikawa M, Ota S, Toyama‐Kousaka M, Takahashi H, Takei H, Shinkai M. Comparison of liver fibrosis scores and fatty liver on computed tomography as risk factors for severity of COVID-19. JGH Open 2024; 8:e70004. [PMID: 39130093 PMCID: PMC11310555 DOI: 10.1002/jgh3.70004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 06/20/2024] [Accepted: 07/09/2024] [Indexed: 08/13/2024]
Abstract
Background and Aim Increased liver fibrosis scores (LFS), such as fibrosis-4 index (FIB-4) or non-alcoholic fatty liver disease fibrosis score (NFS), and fatty liver are known risk factors for severe coronavirus disease 2019 (COVID-19). The purpose of this study was to identify the best scores, which predict the prognosis of COVID-19. Methods Participants comprised consecutive Japanese COVID-19 patients admitted to our hospital between February 14, 2020, and April 14, 2021. Multivariate logistic regression analysis was performed to evaluate the relationships between LFS (FIB-4, NFS, aspartate aminotransferase-to-platelet ratio index [APRI], BARD score, and hepatic steatosis index [HSI]) or fatty liver on computed tomography (CT), and severity of COVID-19. Results Of the 415 patients (mean age, 59 years), 177 patients (42.7%) needed oxygen therapy, 90 patients (21.7%) worsened to severe COVID-19, and 45 patients (10.8%) died during admission. Multivariate logistic regression analysis showed that increased FIB-4 and NFS were risk factors for death, severe COVID-19, and oxygen demand; that increased BARD was a risk factor for severe COVID-19 and oxygen demand; and that increased APRI and HSI were not risk factors for any status of COVID-19. Furthermore, increased NFS or BARD and fatty liver were independent risk factors for severe COVID-19 and oxygen demand. Conclusions This study showed that FIB-4 and NFS were the best liver fibrosis scores that predicted worse prognosis for COVID-19, and that increased NFS or BARD and fatty liver evident on CT represented independent risk factors for severe COVID-19 and oxygen demand.
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Affiliation(s)
- Yuji Kamiya
- Department of Endocrinology and MetabolismTokyo Shinagawa HospitalTokyoJapan
| | - Masahiro Shinoda
- Department of Respiratory MedicineTokyo Shinagawa HospitalTokyoJapan
| | - Naoki Ishii
- Department of GastroenterologyTokyo Shinagawa HospitalTokyoJapan
| | - Saki Yamamoto
- Department of Endocrinology and MetabolismTokyo Shinagawa HospitalTokyoJapan
| | - Tetsuo Sekine
- Department of Endocrinology and MetabolismTokyo Shinagawa HospitalTokyoJapan
| | - Miwa Morikawa
- Department of Respiratory MedicineTokyo Shinagawa HospitalTokyoJapan
| | - Shinichiro Ota
- Department of Respiratory MedicineTokyo Shinagawa HospitalTokyoJapan
| | | | | | - Hiroaki Takei
- Department of Respiratory MedicineTokyo Shinagawa HospitalTokyoJapan
| | - Masaharu Shinkai
- Department of Respiratory MedicineTokyo Shinagawa HospitalTokyoJapan
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3
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Schlesinger S, Lang A, Christodoulou N, Linnerz P, Pafili K, Kuss O, Herder C, Neuenschwander M, Barbaresko J, Roden M. Risk phenotypes of diabetes and association with COVID-19 severity and death: an update of a living systematic review and meta-analysis. Diabetologia 2023; 66:1395-1412. [PMID: 37204441 PMCID: PMC10198038 DOI: 10.1007/s00125-023-05928-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 03/16/2023] [Indexed: 05/20/2023]
Abstract
AIMS/HYPOTHESIS To provide a systematic overview of the current body of evidence on high-risk phenotypes of diabetes associated with COVID-19 severity and death. METHODS This is the first update of our recently published living systematic review and meta-analysis. Observational studies investigating phenotypes in individuals with diabetes and confirmed SARS-CoV-2 infection with regard to COVID-19-related death and severity were included. The literature search was conducted from inception up to 14 February 2022 in PubMed, Epistemonikos, Web of Science and the COVID-19 Research Database and updated using PubMed alert to 1 December 2022. A random-effects meta-analysis was used to calculate summary relative risks (SRRs) with 95% CIs. The risk of bias was evaluated using the Quality in Prognosis Studies (QUIPS) tool and the certainty of evidence using the GRADE approach. RESULTS A total of 169 articles (147 new studies) based on approximately 900,000 individuals were included. We conducted 177 meta-analyses (83 on COVID-19-related death and 94 on COVID-19 severity). Certainty of evidence was strengthened for associations between male sex, older age, blood glucose level at admission, chronic insulin use, chronic metformin use (inversely) and pre-existing comorbidities (CVD, chronic kidney disease, chronic obstructive pulmonary disease) and COVID-19-related death. New evidence with moderate to high certainty emerged for the association between obesity (SRR [95% CI] 1.18 [1.04, 1.34], n=21 studies), HbA1c (53-75 mmol/mol [7-9%]: 1.18 [1.06, 1.32], n=8), chronic glucagon-like peptide-1 receptor agonist use (0.83 [0.71, 0.97], n=9), pre-existing heart failure (1.33 [1.21, 1.47], n=14), pre-existing liver disease (1.40 [1.17, 1.67], n=6), the Charlson index (per 1 unit increase: 1.33 [1.13, 1.57], n=2), high levels of C-reactive protein (per 5 mg/l increase: 1.07 [1.02, 1.12], n=10), aspartate aminotransferase level (per 5 U/l increase: 1.28 [1.06, 1.54], n=5), eGFR (per 10 ml/min per 1.73 m2 increase: 0.80 [0.71, 0.90], n=6), lactate dehydrogenase level (per 10 U/l increase: 1.03 [1.01, 1.04], n=7) and lymphocyte count (per 1×109/l increase: 0.59 [0.40, 0.86], n=6) and COVID-19-related death. Similar associations were observed between risk phenotypes of diabetes and severity of COVID-19, with some new evidence on existing COVID-19 vaccination status (0.32 [0.26, 0.38], n=3), pre-existing hypertension (1.23 [1.14, 1.33], n=49), neuropathy and cancer, and high IL-6 levels. A limitation of this study is that the included studies are observational in nature and residual or unmeasured confounding cannot be ruled out. CONCLUSIONS/INTERPRETATION Individuals with a more severe course of diabetes and pre-existing comorbidities had a poorer prognosis of COVID-19 than individuals with a milder course of the disease. REGISTRATION PROSPERO registration no. CRD42020193692. PREVIOUS VERSION This is a living systematic review and meta-analysis. The previous version can be found at https://link.springer.com/article/10.1007/s00125-021-05458-8 FUNDING: The German Diabetes Center (DDZ) is funded by the German Federal Ministry of Health and the Ministry of Culture and Science of the State North Rhine-Westphalia. This study was supported in part by a grant from the German Federal Ministry of Education and Research to the German Center for Diabetes Research (DZD).
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Affiliation(s)
- Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany.
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nikoletta Christodoulou
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Philipp Linnerz
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kalliopi Pafili
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Oliver Kuss
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
| | - Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Miele L, Dajko M, Savino MC, Capocchiano ND, Calvez V, Liguori A, Masciocchi C, Vetrone L, Mignini I, Schepis T, Marrone G, Biolato M, Cesario A, Patarnello S, Damiani A, Grieco A, Valentini V, Gasbarrini A. Fib-4 score is able to predict intra-hospital mortality in 4 different SARS-COV2 waves. Intern Emerg Med 2023; 18:1415-1427. [PMID: 37491564 PMCID: PMC10412472 DOI: 10.1007/s11739-023-03310-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 05/10/2023] [Indexed: 07/27/2023]
Abstract
Increased values of the FIB-4 index appear to be associated with poor clinical outcomes in COVID-19 patients. This study aimed to develop and validate predictive mortality models, using data upon admission of hospitalized patients in four COVID-19 waves between March 2020 and January 2022. A single-center cohort study was performed on consecutive adult patients with Covid-19 admitted at the Fondazione Policlinico Gemelli IRCCS (Rome, Italy). Artificial intelligence and big data processing were used to retrieve data. Patients and clinical characteristics of patients with available FIB-4 data derived from the Gemelli Generator Real World Data (G2 RWD) were used to develop predictive mortality models during the four waves of the COVID-19 pandemic. A logistic regression model was applied to the training and test set (75%:25%). The model's performance was assessed by receiver operating characteristic (ROC) curves. A total of 4936 patients were included. Hypertension (38.4%), cancer (12.15%) and diabetes (16.3%) were the most common comorbidities. 23.9% of patients were admitted to ICU, and 12.6% had mechanical ventilation. During the study period, 762 patients (15.4%) died. We developed a multivariable logistic regression model on patient data from all waves, which showed that the FIB-4 score > 2.53 was associated with increased mortality risk (OR = 4.53, 95% CI 2.83-7.25; p ≤ 0.001). These data may be useful in the risk stratification at the admission of hospitalized patients with COVID-19.
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Affiliation(s)
- Luca Miele
- Dipartimento di Scienze Mediche e Chirurgiche (DiSMeC), Fondazione Policlinico Gemelli IRCCS, Università Cattolica del S. Cuore, 8, Largo Gemelli, 00168 Rome, Italy
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Marianxhela Dajko
- Dipartimento di Scienze Mediche e Chirurgiche (DiSMeC), Fondazione Policlinico Gemelli IRCCS, Università Cattolica del S. Cuore, 8, Largo Gemelli, 00168 Rome, Italy
| | - Maria Chiara Savino
- Department Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Gemelli IRCCS, Rome, Italy
| | - Nicola D. Capocchiano
- Gemelli Generator Real World Data Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Valentino Calvez
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Antonio Liguori
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Carlotta Masciocchi
- Gemelli Generator Real World Data Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Lorenzo Vetrone
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Irene Mignini
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Tommaso Schepis
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Giuseppe Marrone
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Marco Biolato
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Alfredo Cesario
- Gemelli Digital Medicine and Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Stefano Patarnello
- Gemelli Generator Real World Data Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Andrea Damiani
- Gemelli Generator Real World Data Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Antonio Grieco
- Dipartimento di Scienze Mediche e Chirurgiche (DiSMeC), Fondazione Policlinico Gemelli IRCCS, Università Cattolica del S. Cuore, 8, Largo Gemelli, 00168 Rome, Italy
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Vincenzo Valentini
- Department Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Gemelli IRCCS, Rome, Italy
| | - Antonio Gasbarrini
- Dipartimento di Scienze Mediche e Chirurgiche (DiSMeC), Fondazione Policlinico Gemelli IRCCS, Università Cattolica del S. Cuore, 8, Largo Gemelli, 00168 Rome, Italy
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
| | - Gemelli against COVID Group
- Dipartimento di Scienze Mediche e Chirurgiche (DiSMeC), Fondazione Policlinico Gemelli IRCCS, Università Cattolica del S. Cuore, 8, Largo Gemelli, 00168 Rome, Italy
- Department of Medicina e Chirurgia Traslazionale, Università Cattolica Del Sacro Cuore, Rome, Italy
- Department Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Gemelli IRCCS, Rome, Italy
- Gemelli Generator Real World Data Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Gemelli Digital Medicine and Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
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5
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Jagirdhar GSK, Pattnaik H, Banga A, Qasba RK, Rama K, Reddy ST, Bucharles ACF, Kashyap R, Elmati PR, Bansal V, Bains Y, DaCosta T, Surani S. Association of Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease with COVID-19-Related Intensive Care Unit Outcomes: A Systematic Review and Meta-Analysis. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1239. [PMID: 37512051 PMCID: PMC10386363 DOI: 10.3390/medicina59071239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/13/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023]
Abstract
Background and Objective: The association of non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) with intensive care unit (ICU) admissions and the need for mechanical ventilation and disease severity in COVID-19 patients. Material and Methods: A systematic literature review was conducted on the databases: Cochrane, Embase, PubMed, ScienceDirect, and the Web of Science from January 2019 to June 2022. Studies evaluating MAFLD using laboratory methods, non-invasive imaging, or liver biopsy were included. The study protocol was registered in PROSPERO (ID CRD42022313259), and PRISMA guidelines were followed. The NIH quality assessment tool was used for quality assessment. RevMan version 5.3 software was used for pooled analysis. A sensitivity analysis was performed to assess the result's stability. Results: A total of 37,974 patients from 17 studies were assessed for the association between MAFLD and ICU admission. A total of 3396 COVID-19 patients required ICU admission: 1236 (20.41%) in the MAFLD group and 2160 (6.77%) in the non-MAFLD group. The odds ratio was 1.86 for ICU admission, p = 0.007, and a (95% CI) of [1.18-2.91]. A total of 37,166 patients from 13 studies were included in the need for invasive mechanical ventilation analysis. A total of 1676 patients required mechanical ventilation: 805 in the MAFLD group (14.20% of all MAFLD patients) and 871 patients in the non-MAFLD group (2.76% of all non-MAFLD patients). The odds ratio was 2.05, p = 0.02, and a (95% CI) of [1.12-3.74]. A total of 5286 patients from 14 studies were included in the COVID-19 disease severity analysis. Severe COVID-19 was seen in 1623 patients, with 33.17% (901/2716) of MAFLD patients and 28.09% (722/2570) of non-MAFLD patients having severe disease. The odds ratio was 1.59 for disease severity, p = 0.010, and a (95% CI) of [1.12-2.26]. Conclusions: Our meta-analysis suggests that there are significantly increased odds of ICU admissions, a need for invasive mechanical ventilation, and disease severity in MAFLD patients who acquire COVID-19.
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Affiliation(s)
| | | | - Akshat Banga
- Sawai Man Singh Medical College, Jaipur 302004, India
| | | | | | | | | | - Rahul Kashyap
- Critical Care Medicine, Department of Anesthesiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Praveen Reddy Elmati
- Interventional Pain Medicine, University of Louisville, Louisville, KY 40202, USA
| | - Vikas Bansal
- Division of Nephrology and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Yatinder Bains
- Department of Gastroenterology, Saint Michaels Medical Center, Newark, NJ 07102, USA
| | - Theodore DaCosta
- Department of Gastroenterology, Saint Michaels Medical Center, Newark, NJ 07102, USA
| | - Salim Surani
- Pulmonary, Critical Care & Pharmacy, Texas A&M University, College Station, TX 79016, USA
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6
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Guarino M, Cossiga V, Cutolo FM, Attanasio MR, Lieto R, Morisco F. COVID-19 and Fatty Liver Disorders. J Clin Med 2023; 12:4316. [PMID: 37445349 DOI: 10.3390/jcm12134316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
In late 2019, the world was shaken by the COVID-19 pandemic. Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection became one of the main causes of illness and hospitalization worldwide, especially in subjects with metabolic comorbidities such as obesity, diabetes, or liver disease. This scenario crosses with the metabolic liver disorders' "pandemic", caused by the exponential spreading of non-alcoholic fatty liver disease, which is now the most prevalent cause of chronic liver disease (CLD). The aim of this review is to analyze the key factors of the relationship between COVID-19 and the spectrum of fatty liver disorders (FLD), in terms of molecular mechanisms and clinical presentation which can predict a more severe course of the infection. In addition, this review will face the change in management of FLD during pandemics, with a central role of telemedicine, and the role of other interventions in preventing and treating severe infection in these subjects.
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Affiliation(s)
- Maria Guarino
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
| | - Valentina Cossiga
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
| | - Francesco Maria Cutolo
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
| | - Maria Rosaria Attanasio
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
| | - Raffaele Lieto
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
| | - Filomena Morisco
- Diseases of the Liver and Biliary System Unit, Department of Clinical Medicine and Surgery, University of Naples "Federico II", 80131 Naples, Italy
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7
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Jagirdhar GSK, Qasba RK, Pattnaik H, Rama K, Banga A, Reddy ST, Flumignan Bucharles AC, Kashyap R, Elmati PR, Bansal V, Bains Y, DaCosta T, Surani S. Association of non-alcoholic fatty liver and metabolic-associated fatty liver with COVID-19 outcomes: A systematic review and meta-analysis. World J Gastroenterol 2023; 29:3362-3378. [PMID: 37377589 PMCID: PMC10292144 DOI: 10.3748/wjg.v29.i21.3362] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/25/2023] [Accepted: 04/28/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) are on the rise like any other liver disease, and tend to affect 25% of the United States population. The impact of NAFLD and MAFLD on patients with coronavirus disease 2019 (COVID-19) remains unclear. AIM To identify the association of NAFLD and MAFLD with mortality, hospitalization, hospital length of stay, and supplemental oxygen utilization in COVID-19 patients. METHODS A systematic review of literature on Cochrane, Embase, PubMed, ScienceDirect, and Web of Science databases was conducted from January 2019 to July 2022. Studies that evaluated NAFLD/MAFLD using laboratory methods, noninvasive imaging, or liver biopsy were included. The study protocol was registered in PROSPERO (ID CRD42022313259) and PRISMA guidelines were followed. The National Institutes of Health quality assessment tool was used to assess the quality of the studies. Pooled analysis was conducted using software Rev Man version 5.3. The stability of the results was assessed using sensitivity analysis. RESULTS Thirty-two studies with 43388 patients were included in the meta-analysis of whom 8538 (20%) patients were observed to have NAFLD. There were 42254 patients from 28 studies included in the mortality analysis. A total of 2008 patients died from COVID-19; 837 (10.52%) in the NAFLD group and 1171 (3.41%) in the non-NAFLD group. The odds ratio (OR) was 1.38 for mortality with a 95% confidence interval (95%CI) = 0.97-1.95 and P = 0.07. A total of 5043 patients from eight studies were included in the hospital length of stay analysis. There were 1318 patients in the NAFLD group and 3725 patients in the non-NAFLD group. A qualitative synthesis showed that the mean difference in hospital length of stay was about 2 d between the NAFLD and non-NAFLD groups with a 95%CI = 0.71-3.27 and P = 0.002. For hospitalization rates, the OR was 3.25 with a 95%CI of 1.73-6.10 and P = 0.0002. For supplemental oxygen utilization, the OR was 2.04 with a 95%CI of 1.17-3.53 and P = 0.01. CONCLUSION Our meta-analysis suggests that there are increased odds of hospitalization, longer hospital length of stay, and increased use of supplemental oxygen in NAFLD/MAFLD patients.
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Affiliation(s)
| | - Rakhtan K Qasba
- Department of Medicine, Green Life Medical College and Hospital, Dhaka 1205, Bangladesh
| | - Harsha Pattnaik
- Department of Medicine, Lady Hardinge Medical College, New Delhi 110001, India
| | - Kaanthi Rama
- Department of Medicine, Gandhi Medical College, Telangana 500003, India
| | - Akshat Banga
- Department of Medicine, Sawai Man Singh Medical College, Jaipur 302004, Rajistan, India
| | - Shiva Teja Reddy
- Department of Medicine, Gandhi Medical College, Telangana 500003, India
| | | | - Rahul Kashyap
- Research, WellSpan Health, York, PA 17403, United States
| | - Praveen Reddy Elmati
- Department of Interventional Pain Medicine, University of Louisville, Louisville, KY 40292, United States
| | - Vikas Bansal
- Department of Internal Medicine, Mayo Clinic, Rochester, MN 55902, United States
| | - Yatinder Bains
- Department of Gastroenterology, Saint Michaels Medical Center, Newark, NJ 07102, United States
| | - Theodore DaCosta
- Department of Gastroenterology, Saint Michaels Medical Center, Newark, NJ 07102, United States
| | - Salim Surani
- Department of Medicine, Texas A&M University, College Station, TX 77843, United States
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8
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Vázquez-Medina MU, Cerda-Reyes E, Galeana-Pavón A, López-Luna CE, Ramírez-Portillo PM, Ibañez-Cervantes G, Torres-Vázquez J, Vargas-De-León C. Interaction of metabolic dysfunction-associated fatty liver disease and nonalcoholic fatty liver disease with advanced fibrosis in the death and intubation of patients hospitalized with coronavirus disease 2019. Hepatol Commun 2022; 6:2000-2010. [PMID: 35438253 PMCID: PMC9110946 DOI: 10.1002/hep4.1957] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/07/2022] [Accepted: 03/19/2022] [Indexed: 12/17/2022] Open
Abstract
Patients with pre-existing liver diseases are considered to have an increased risk of morbidity and mortality from any type of infection, including viruses. The aim of this work was to explore the implications of metabolic dysfunction-associated fatty liver disease (MAFLD) and nonalcoholic fatty liver disease (NAFLD) definitions in coronavirus disease 2019 (COVID-19) and to study the interaction between advanced fibrosis (AF) and each of these diseases in the death and intubation of patients hospitalized with COVID-19. We performed a retrospective study with 359 patients hospitalized with confirmed COVID-19 infection in a tertiary referral hospital who were admitted between April and June 2020. A multivariate Cox model was performed regarding the interaction of AF with MAFLD and NAFLD in the mortality and intubation of patients with COVID-19. The death rate was statistically significantly higher in the MAFLD group compared to the control group (55% vs. 38.3%, p = 0.02). No significant difference was seen in the death rate between the NAFLD and control group. The MAFLD (44.09% vs. 20%, p = 0.001) and NAFLD (40.51% vs. 20%, p = 0.01) groups had statistically significantly higher intubation rates than the control group. A statistically significant interaction between NAFLD and AF was associated with an increase in mortality (p = 0.01), while a statistically significant interaction between MAFLD and AF was associated with an increased risk of mortality (p = 0.006) and intubation (p = 0.049). In the case of patients hospitalized with COVID-19, our results indicate that the death rate was higher in the MAFLD group but not the NAFLD group compared to that in the control group. The intubation rates were higher in the NAFLD and MAFLD groups compared to rates in the control group, suggesting that both could be associated with COVID-19 severity. In addition, we found interactions between AF with MAFLD and NAFLD.
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Affiliation(s)
- Martín Uriel Vázquez-Medina
- Becario de la Dirección General de Calidad y Educación en Salud, Secretaría de SaludMexico CityMexico.,Escuela Superior de MedicinaInstituto Politécnico NacionalMexico CityMexico
| | - Eira Cerda-Reyes
- Coordinación AcadémicaHospital Central MilitarSecretaria de la Defensa NacionalMexico CityMexico
| | - Alberto Galeana-Pavón
- Becario de la Dirección General de Calidad y Educación en Salud, Secretaría de SaludMexico CityMexico.,Escuela Superior de MedicinaInstituto Politécnico NacionalMexico CityMexico
| | - Carlos Enrique López-Luna
- Becario de la Dirección General de Calidad y Educación en Salud, Secretaría de SaludMexico CityMexico.,Escuela Superior de MedicinaInstituto Politécnico NacionalMexico CityMexico
| | | | - Gabriela Ibañez-Cervantes
- Escuela Superior de MedicinaInstituto Politécnico NacionalMexico CityMexico.,División de InvestigaciónHospital Juárez de MéxicoMexico CityMexico
| | - Julián Torres-Vázquez
- Coordinación AcadémicaHospital Central MilitarSecretaria de la Defensa NacionalMexico CityMexico
| | - Cruz Vargas-De-León
- Escuela Superior de MedicinaInstituto Politécnico NacionalMexico CityMexico.,División de InvestigaciónHospital Juárez de MéxicoMexico CityMexico
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9
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Abstract
COVID-19, which is caused by SARS-CoV-2, is a major public health concern around the world. The beta coronavirus family includes SARS-CoV2, which enters cells via the ACE2 receptor. Patients in Wuhan, China, who suffered from the first sickness had no symptoms concerning the digestive system. Only 2.6% developed diarrhea, and only 2% had chronic liver illness. As the situation becomes more complicated, more people are reporting gastric issues. The disorder is characterized by diarrhea, anorexia, nausea, vomiting, abdominal discomfort and gastrointestinal bleeding, with diarrhea being the most common symptom. Several theories have been proposed for the genesis of gastrointestinal issues. Virus-induced cytopathic effects via ACE2, immune-mediated inflammatory cytokine storm, gut–lung axis function and drug-related damage are among them, not only in cases of COVID-19, but also in gastrointestinal illnesses.
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Affiliation(s)
- Carmine Finelli
- Department of Internal Medicine, ASL Napoli 3 Sud, Via di Marconi, 66, Torre del Greco, 80035 Naples, Italy
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10
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Liver Fibrosis Scores and Hospitalization, Mechanical Ventilation, Severity, and Death in Patients with COVID-19: A Systematic Review and Dose-Response Meta-Analysis. Can J Gastroenterol Hepatol 2022; 2022:7235860. [PMID: 35369116 PMCID: PMC8966744 DOI: 10.1155/2022/7235860] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/18/2022] [Indexed: 02/07/2023] Open
Abstract
Methods We identified relevant cohort studies that assessed the relationship between liver fibrosis scores (e.g., FIB-4, NAFLD fibrosis score (NFS), and aspartate aminotransferase to platelet ratio index (APRI)) and associated prognosis outcomes by searching the PubMed, EMBASE, and medRxiv databases. The potential dose-response effect was performed using a stage robust error meta-regression. Results Sixteen studies with 8,736 hospitalized patients with COVID-19 were included. One-point score in FIB-4 increase was significantly associated with increased mechanical ventilation (RR: 2.23, 95% CI: 1.37-3.65, P=0.001), severe COVID-19 (RR: 1.82, 95% CI: 1.53-2.16, P < 0.001), and death (RR: 1.47, 95% CI: 1.31-1.65, P < 0.001), rather than hospitalization (RR: 1.35, 95% CI: 0.72-2.56, P=0.35). Furthermore, there is a significant positive linear relationship between FIB-4 and severe COVID-19 (P nonlinearity=0.12) and mortality (P nonlinearity=0.18). Regarding other liver scores, one unit elevation in APRI increased the risk of death by 178% (RR: 2.78, 95% CI: 1.10-6.99, P=0.03). Higher NFS (≥-1.5) and Forns index were associated with increased risk of severe COVID-19 and COVID-19-associated death. Conclusion Our dose-response meta-analysis suggests high liver fibrosis scores are associated with worse prognosis in patients with COVID-19. For patients with COVID-19 at admission, especially for those with coexisting chronic liver diseases, assessment of liver fibrosis scores might be useful for identifying high risk of developing severe COVID-19 cases and worse outcomes.
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11
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Zhang J, Liu F, Song T, Li Z, Xia P, Tang X, Xu M, Shen Y, Ma J, Liu X, Yu P. Liver Fibrosis Scores and Clinical Outcomes in Patients With COVID-19. Front Med (Lausanne) 2022; 9:829423. [PMID: 35463006 PMCID: PMC9024307 DOI: 10.3389/fmed.2022.829423] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 03/07/2022] [Indexed: 12/21/2022] Open
Abstract
Background and Aims We investigated the association between liver fibrosis scores and clinical outcomes in patients with COVID-19. Methods We performed a post-hoc analysis among patients with COVID-19 from the trial study Outcomes Related to COVID-19 treated with Hydroxychloroquine among Inpatients with symptomatic Disease (ORCHID) trial. The relationship between aspartate aminotransferase (AST) to platelet ratio index (APRI), non-alcoholic fatty liver disease fibrosis score (NFS), Fibrosis-4 index (FIB-4), and discharge and death during the 28-days of hospitalization was investigated. Results During the 28 days after randomization, 237 (80.6%) patients were discharged while 31 (10.5%) died among the 294 patients with COVID-19. The prevalence for advanced fibrosis was estimated to be 34, 21.8, and 37.8% for FIB-4 (>2.67), APRI (>1), and NFS (>0.676), respectively. In multivariate analysis, FIB-4 >2.67 [28-days discharge: hazard ratio (HR): 0.62; 95% CI: 0.46-0.84; 28-days mortality: HR: 5.13; 95% CI: 2.18-12.07], APRI >1 (28-days discharge: HR: 0.62; 95% CI: 0.44-0.87; 28-days mortality: HR: 2.85, 95% CI: 1.35-6.03), and NFS >0.676 (28-days discharge: HR: 0.5; 95% CI: 0.35-0.69; 28-days mortality: HR: 4.17; 95% CI: 1.62-10.72) was found to significantly reduce the discharge rate and increase the risk of death. Additionally, FIB-4, APRI, and NFS were found to have good predictive ability and calibration performance for 28-day death (C-index: 0.74 for FIB-4, 0.657 for APRI, and 0.745 for NFS) and discharge (C-index: 0.649 for FIB-4, 0.605 for APRI, and 0.685 for NFS). Conclusion In hospitalized patients with COVID-19, FIB-4, APRI, and NFS may be good predictors for death and discharge within 28 days. The link between liver fibrosis and the natural history of COVID-19 should be further investigated.
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Affiliation(s)
- Jing Zhang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fuwei Liu
- Department of Cardiology, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China
| | - Tiangang Song
- The Second Clinical Medical College of Nanchang University, Nanchang, China
| | - Zhangwang Li
- The Second Clinical Medical College of Nanchang University, Nanchang, China
| | - Panpan Xia
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, China
| | - Xiaoyi Tang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Minxuan Xu
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, China
| | - Yunfeng Shen
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, China
| | - Jianyong Ma
- Department of Pharmacology and Systems Physiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Xiao Liu
- Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, China
| | - Peng Yu
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Institute for the Study of Endocrinology and Metabolism in Jiangxi Province, Nanchang, China
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12
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Demir N, Yüzbasıoglu B, Calhan T, Ozturk S. Prevalence and Prognostic Importance of High Fibrosis-4 Index in COVID-19 Patients. Int J Clin Pract 2022; 2022:1734896. [PMID: 35685537 PMCID: PMC9159137 DOI: 10.1155/2022/1734896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 02/07/2022] [Accepted: 03/29/2022] [Indexed: 11/27/2022] Open
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 (109/L)/√ALT (IU/L)). The FIB-4 index was divided into three categories according to the score categorisation: <1.3 = low risk, 1.3-2.67 = moderate risk, and >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.
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Affiliation(s)
- Nurhan Demir
- Department of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey
| | - Bilgehan Yüzbasıoglu
- Department of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey
| | - Turan Calhan
- Department of Gastroenterology, Haseki Training and Research Hospital, Istanbul, Turkey
| | - Savas Ozturk
- Department of Internal Medicine, Division of Nephrology, Istanbul School of Medicine, Istanbul University, Istanbul, Turkey
- Department of Nephrology, Haseki Training and Research Hospital, Istanbul, Turkey
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13
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Ramos-Lopez O, San-Cristobal R, Martinez-Urbistondo D, Micó V, Colmenarejo G, Villares-Fernandez P, Daimiel L, Martinez JA. Proinflammatory and Hepatic Features Related to Morbidity and Fatal Outcomes in COVID-19 Patients. J Clin Med 2021; 10:3112. [PMID: 34300279 PMCID: PMC8306049 DOI: 10.3390/jcm10143112] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/25/2021] [Accepted: 07/12/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE to screen putative associations between liver markers and proinflammatory-related features concerning infectious morbidity and fatal outcomes in COVID-19 patients. METHODS a total of 2094 COVID-19 positive patients from the COVID-DATA-SAFE-LIFES cohort (HM hospitals consortium) were classified according to median values of hepatic, inflammatory, and clinical indicators. Logistic regression models were fitted and ROC cures were generated to explain disease severity and mortality. RESULTS intensive care unit (ICU) assistance plus death outcomes were associated with liver dysfunction, hyperinflammation, respiratory insufficiency, and higher associated comorbidities. Four models including age, sex, neutrophils, D-dimer, oxygen saturation lower than 92%, C-reactive protein (CRP), Charlson Comorbidity Index (CCI), FIB-4 and interactions with CRP, neutrophils, and CCI explained ICU plus death variance in more than 28%. The predictive values of ROC curves were: FIB-4 (0.7339), AST/ALT ratio (0.7107), CRP (0.7003), CCI index (0.6778), neutrophils (0.6772), and platelets (0.5618) concerning ICU plus death outcomes. CONCLUSIONS the results of this research revealed that liver and proinflammatory features are important determinants of COVID-19 morbidity and fatal outcomes, which could improve the current understanding of the COVID-19 physiopathology as well as to facilitate the clinical management and therapy decision-making of this disease under a personalized medicine scope.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico;
| | - Rodrigo San-Cristobal
- Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain;
| | | | - Víctor Micó
- Nutritional Control of the Epigenome Group, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (V.M.); (L.D.)
| | - Gonzalo Colmenarejo
- Biostatistics and Bioinformatics Unit, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain;
| | | | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain; (V.M.); (L.D.)
| | - J. Alfredo Martinez
- Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain;
- Department of Nutrition, Food Science, Physiology and Toxicology, Centre for Nutrition Research, University of Navarra, 31009 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31009 Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
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