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Complete blood count derived inflammation indexes predict outcome in COVID-19 patients: a study in Indonesia
Haryati Haryati1, Bagus Wicaksono1, Meitria Syahadatina2
1Department of Pulmonology and Respiratory Medicine, Faculty of Medicine Lambung Mangkurat University/Ulin Hospital, Banjarmasin, South Kalimantan, Indonesia.
Insights
Complete blood count (CBC)-derived inflammation indexes, including the neutrophil to lymphocyte × platelet ratio (NLPR), can predict COVID-19 mortality. Elevated NLPR was a dominant predictor of in-hospital death in COVID-19 patients.
Area of Science:
- Medical research
- Hematology
- Infectious diseases
Background:
- Inflammation is central to COVID-19 pathophysiology.
- Complete blood count (CBC) offers insights into inflammatory processes and patient outcomes.
- Several CBC-derived inflammation indexes exist, but their predictive value for COVID-19 mortality requires further exploration.
Purpose of the Study:
- To investigate the correlation between various CBC-derived inflammation indexes and in-hospital mortality in COVID-19 patients.
- To identify which inflammation index is the most potent predictor of mortality.
Main Methods:
- A retrospective observational study of 445 COVID-19 patients.
- Patients were categorized into survivor and non-survivor groups.
- Receiver operating characteristic (ROC) curve analysis determined cut-off values, followed by bivariate and logistic regression analyses.
Main Results:
- Elevated neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte × platelet ratio (NLPR), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and systemic immune-inflammation index (SII) were significantly associated with survival outcomes.
- The neutrophil to lymphocyte × platelet ratio (NLPR) demonstrated the strongest predictive power for in-hospital mortality (OR: 6.668, p = 0.000), with 28.1% sensitivity and 95.9% specificity.
Conclusions:
- CBC-derived inflammation indexes are significantly associated with survival outcomes in COVID-19 patients.
- The neutrophil to lymphocyte × platelet ratio (NLPR) emerged as a dominant and highly specific predictor of in-hospital mortality in COVID-19.
Introduction:
Inflammation plays a vital role in the pathophysiology of COVID-19. Complete blood count (CBC) is a routine test performed on patients. It provides information regarding the inflammatory process and can be used as a predictor of outcome. This study aimed to explore the correlation between different complete blood count (CBC)-derived inflammation indexes at hospital admission, such as neutrophil to lymphocyte ratio (NLR), derived NLR (dNLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte × platelet ratio (NLPR), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and systemic immune-inflammation index (SII), to in-hospital mortality in confirmed COVID-19 patients.
Methodology:
A retrospective observational study was performed at Ulin Referral Hospital of South Kalimantan with 445 COVID-19 patients from April to November 2020. The patients were divided into two groups, non-survivor and survivor. A receiver operating characteristic (ROC) curve was used to determine the cut-off values. Bivariate analysis was performed using the Chi Square test, the risk ratio was calculated, and logistics regression was determined.
Results:
Increase of NLR, dNLR, PLR, MLR, NLPR, MLR, AISI, SIRI, and SII from cut-off values were significantly correlated with patient survival outcome. The cut off values were 6.90, 4.10, 295, 0.42, 0.037, 1,422, 1.80, and 2,504 respectively. NLPR was dominant in predicting in-hospital mortality (OR: 6.668, p = 0.000) with a 28.1% sensitivity and 95.9% specificity.
Conclusions:
CBC-derived inflammation indexes were associated with the survival outcome of confirmed COVID-19 patients and NLPR was a dominant variable.
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