Prognostic role of inflammatory indices in risk classification of patients with COVID-19
Saglik Bilimlerinde Ileri Arastirmalar Dergisi / Journal of Advanced Research in Health Sciences
; 5(3):179-185, 2022.
Article
in Turkish
| CAB Abstracts | ID: covidwho-2321492
ABSTRACT
Objective:
The Covid-19 pandemic has revealed the importance of an evidence-based efficient triage system in the early identification of high risk patients and the rational use of limited medical resources for reducing mortality. The aim of this study was to evaluate the role of various inflammatory indices that can be easily calculated using readily accessible, inexpensive routine test parameters in risk stratification and prediction of prognosis in patients with Covid-19. Material andMethods:
The study was carried out retrospectively with the data of 8036 patients with Covid-19, who were grouped according to their prognosis in outpatient and inpatient follow-ups, and inpatients as survivors and death. Using the complete blood count and C-reactive protein baseline results of the patients at admission, neutrophillymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocytelymphocyte ratio (MLR), MVP-platelet ratio (MPR), platelet mass index (PMI), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and multi-inflammatory indices (MII) were calculated.Results:
Our results demonstrate that almost all of the inflammatory indices were significantly different in severe patients and in patients with high mortality risk, but not all of them had a predictive value. It has been seen that the most effective factors in determining the disease severity at the onset of Covid-19 are SIRI and age, and SII, MII-1 and MII-3 may also contribute to this prediction. Our results have also revealed that NLR is the most effective independent factor to predict mortality both at disease onset and for inpatients.Conclusion:
Inflammatory indices, especially SIRI, NLR, SII, MII-1 and MII-3 can substantially contribute to clinical decisions in the early identification of high-risk patients and predicting mortality beginning from the onset of Covid-19.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210]; human diseases; coronavirus disease 2019; viral diseases; mortality; risk factors; prognosis; inflammation; risk; retrospective studies; C-reactive protein; hospital admission; platelets; predictive value; biochemical markers; Severe acute respiratory syndrome coronavirus 2; man; Turkey; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Mediterranean Region; OECD Countries; upper-middle income countries; very high Human Development Index countries; West Asia; Asia; SARS-CoV-2; viral infections; death rate; blood platelets; thrombocytes; biomarkers
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Type of study:
Experimental Studies
/
Prognostic study
Language:
Turkish
Journal:
Journal of Advanced Research in Health Sciences
Year:
2022
Document Type:
Article
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