PMID- 35281571 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20230626 IS - 1178-6973 (Print) IS - 1178-6973 (Electronic) IS - 1178-6973 (Linking) VI - 15 DP - 2022 TI - The Potential Predictive Role of Tumour Necrosis Factor-alpha, Interleukin-1beta, and Monocyte Chemoattractant Protein-1 for COVID-19 Patients Survival. PG - 821-829 LID - 10.2147/IDR.S348392 [doi] AB - BACKGROUND: Tumour necrosis factor-alpha (TNF-alpha), interleukin-1beta (IL-1beta), and monocyte chemoattractant protein-1 (MCP-1) are early phase cytokines often encountered when the body is exposed to severe acute respiratory syndrome-associated-coronavirus-2. TNF-alpha, IL-1beta, and MCP-1 are pro-inflammatory cytokines critical in the defence response against systemic infection and injury. Therefore, TNF-alpha, IL-1beta, and MCP-1 are the most aggressive responses to viral infections in the acute phase, so they can be used to determine the survival of coronavirus disease 2019 (COVID-19) patients. PURPOSE: The study aimed to determine the levels of TNF-alpha, IL-1beta, and MCP-1 as predictors of survival for COVID-19 patients. PATIENTS AND METHODS: A prospective cohort study was conducted on confirmed COVID-19 by a reverse-transcriptase-polymerase-chain-reaction (RT-PCR) in 84 adults admitted to the hospital in Indonesia. TNF-alpha, IL-1beta, and MCP-1 level were measured from serum subjects using the enzyme-linked immunosorbent assay. RESULTS: The results from logistic regression modelling of the survival status of COVID-19 patients based on TNF-alpha, IL-1beta, and MCP-1 levels were significant (p-value=0.024). The predictors of all cytokines had P Wald <0.05, so the three cytokines could be used simultaneously to predict the survival status of COVID-19 patients. MCP-1 has the most dominant risk relative value (2.76; 95% CI; 2.53-4.68) compared to TNF-alpha and IL-1beta in predicting patient survival. CONCLUSION: TNF-alpha, IL-1beta, and MCP-1 as markers of acute systemic inflammatory cytokines can be measured at the beginning of hospitalisation of COVID-19 patients for early diagnosis of disease severity so that healthcare professionals can determine clinical guidance needs for therapeutic programs. CI - (c) 2022 Kumboyono et al. FAU - Kumboyono, Kumboyono AU - Kumboyono K AUID- ORCID: 0000-0003-2124-8673 AD - Nursing Department, Faculty of Health Sciences, University of Brawijaya, Malang, 65151, Indonesia. FAU - Chomsy, Indah Nur AU - Chomsy IN AUID- ORCID: 0000-0002-1050-3571 AD - Doctoral Program of Medical Science, Faculty of Medicine, University of Brawijaya, Malang, 65145, Indonesia. FAU - Iskandar, Agustin AU - Iskandar A AD - Department of Clinical Pathology, Faculty of Medicine, University of Brawijaya, Malang, 65145, Indonesia. FAU - Aryati, Aryati AU - Aryati A AD - Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga, Surabaya, 60131, Indonesia. FAU - Parwati, Ida AU - Parwati I AD - Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Bandung, 40161, Indonesia. FAU - Wihastuti, Titin Andri AU - Wihastuti TA AUID- ORCID: 0000-0001-6476-0541 AD - Basic Nursing Department, Faculty of Health Sciences, University of Brawijaya, Malang, 65151, Indonesia. LA - eng PT - Journal Article DEP - 20220304 PL - New Zealand TA - Infect Drug Resist JT - Infection and drug resistance JID - 101550216 EIN - Infect Drug Resist. 2023 Jun 20;16:3943-3944. PMID: 37361934 PMC - PMC8904436 OTO - NOTNLM OT - COVID-19 OT - SARS COV-2 OT - cytokine OT - survival predictors COIS- The authors report no conflicts of interest in this work. EDAT- 2022/03/15 06:00 MHDA- 2022/03/15 06:01 PMCR- 2022/03/04 CRDT- 2022/03/14 05:23 PHST- 2021/11/08 00:00 [received] PHST- 2022/02/21 00:00 [accepted] PHST- 2022/03/14 05:23 [entrez] PHST- 2022/03/15 06:00 [pubmed] PHST- 2022/03/15 06:01 [medline] PHST- 2022/03/04 00:00 [pmc-release] AID - 348392 [pii] AID - 10.2147/IDR.S348392 [doi] PST - epublish SO - Infect Drug Resist. 2022 Mar 4;15:821-829. doi: 10.2147/IDR.S348392. eCollection 2022.