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. 2021 Dec 1;1(3):e50. doi: 10.52225/narra.v1i3.50

Correlation of neutrophil-to-lymphocyte ratio and clinical outcome of acute thrombotic stroke in patients with COVID-19

Rizky F Sarengat 1,2,*, Mohammad S Islam 1,2, Mohammad S Ardhi 1,2
PMCID: PMC10914052  PMID: 38450211

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has caused millions of deaths worldwide. Acute ischemic stroke is a life-threatening risk factor for COVID-19 infection. Neutrophil-to-lymphocyte ratio (NLR) is one of the predictors of poor prognosis in acute ischemic stroke. The aim of this study was to assess the correlation between NLR values and the clinical outcome of acute thrombotic stroke patients with COVID-19 that was measured using the National Institutes of Health Stroke Scale (NIHSS). A cross- sectional hospital-based study was conducted in Dr. Soetomo General Hospital Surabaya, Indonesia. Patients with acute thrombotic stroke and COVID-19 admitted between 1 March 2020 and 31 May 2021 were recruited. The NLR values and the NIHSS scores were assessed during the admission and the correlation between NLR and NIHSS scores was calculated. This study included 21 patients with acute thrombotic stroke and COVID-19, consisting of 12 males and 9 females. The mean age was 57.6 years old. The mean NLR values was 8.33±6.7 and the NIHSS scores ranging from 1 to 33. Our data suggested a positive correlation between NLR values and NIHSS scores, r=0.45 with p=0.041. In conclusion, the NLR value is potentially to be used as a predictor of the clinical outcome in acute thrombotic stroke patients with COVID-19. However, further study is warranted to validate this finding.

Keywords: Acute thrombotic stroke, COVID-19, neutrophil-to-lymphocyte ratio, NLR, predictor

Introduction

Stroke is the second leading cause of death and the third leading cause of disability worldwide [1]. Stroke survivors are often burdened with rehabilitation costs, lost income and productivity, limitations in daily social activities, and significant residual disabilities [2]. Coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2), has caused more than 4.9 million deaths worldwide as of October 24, 2021 [3]. Acute cerebrovascular events are one of the neurological complications of COVID-19 [4]. Acute ischemic stroke is one of the non-traditional, life-threatening risk factors for COVID-19 infection. The incidence of acute ischemic stroke in COVID-19 patients ranges between 0.9-2.7% [5]. Acute ischemic stroke with COVID-19 has a poorer outcome and higher mortality than non-COVID-19 ischemic stroke [6]. The etiology of ischemic stroke is due to thrombotic or embolic events. In thrombotic etiology, blood flow to the brain is obstructed due to dysfunction within the vessels, which may be secondary to atherosclerotic disease or inflammatory conditions [7].

The neutrophil-to-lymphocyte ratio (NLR) represents a balance between the levels of neutrophils and lymphocytes in the body, as well as an indicator of systemic inflammation. NLR is an independent predictor of mortality in various diseases [8]. From previous studies, patients with severe COVID-19 showed higher NLR on admission [8,9]. NLR >4 is considered as a predictor for admission of COVID-19 patients to ICU [10]. Higher NLR values serve as an independent predictor of poorer prognosis in patients with acute ischemic stroke, heart disease, and cancer [11]. Prediction of outcome in acute stroke patients has important clinical practices. It can be clinically used to guide patient management (i.e., patients with a good prognosis could avoid high-risk treatments such as thrombolysis), improve rehabilitation and discharge plans, and provide more reliable information to patients and their families [12].

This study was conducted to determine the correlation between NLR values and clinical outcomes of acute thrombotic stroke patients with COVID-19. Clinical outcomes of acute thrombotic stroke were assessed using a simple and rapid score for stroke in emergency evaluation, the National Institutes of Health Stroke Scale (NIHSS) [13].

Methods

A cross-sectional hospital-based study was conducted in Dr. Soetomo General Hospital Surabaya, Indonesia. The clinical data were obtained from medical records of acute thrombotic stroke patients with COVID-19 that were hospitalized in the Isolation and Emergency ward between 1 March 2020 and 31 May 2021. Acute thrombotic stroke patients with COVID-19 who met the inclusion were considered eligible. The inclusion criteria comprised patients who: (a) had the first attack of acute thrombotic stroke; (b) had laboratory examinations and head computerized tomography scan (CT-scan) without contrast; (c) experienced stroke onset less than 72 hours; and (d) have been diagnosed with COVID-19 infection.

Diagnosis confirmation of COVID-19 was performed based on clinical manifestations and real-time reverse transcription-polymerase chain reaction (RT-PCR) of the nasopharyngeal swab. All acute thrombotic stroke patients with a history of malignancy, head trauma, or other sources of infection other than COVID-19 were excluded. NLR was measured from complete blood tests during the first admission to the hospital. The clinical outcome of acute thrombotic stroke, measured at admission time, was assessed using the NIHSS scale. NIHSS was assessed on eleven items measuring the level of dysfunction including the domains of language, ataxia, motor strength, sensation, and neglect. The score is an ordinal scale (range 0 to 42) [13,14]. Demographic and clinical data were also collected.

The Shapiro-Wilk was used to assess the normality of the data and Spearman rank correlation statistical test was employed to assess the correlation between NLR and NIHSS scores. A p-value lower than 0.05 was considered statistically significant. All analyses were conducted using SPSS 22 software. This study was approved by the Health Research Ethics Committee of RSUD Dr. Soetomo (No. 0400/LOE/301.4.2/III/2021).

Results

Thirty patients diagnosed with acute thrombotic stroke and COVID-19 were recruited. Out of the total patients, 21 were considered eligible to be included in the final analysis (Figure 1). The number of male and female patients included in this research was 12 (57.1%) and 9 (42.8%), respectively. The mean age of the patients was 57.62±10.05, ranged from 37 to 78 years-old. None of the patients received thrombolytic therapy. The basic demographic and clinical characteristics of the patients are provided in Table 1.

Figure 1.

Figure 1.

Flow diagram of study selection

Table 1. The characteristic of patients with thrombotic stroke and COVID-19 (n=21).

Variable Mean ± SD Min-max
Sex, n (%)
  Male 12 (57.1)
  Female 9 (42.8)
Age (years) 57.62±10.0 37-78
  Systolic blood pressure 143±25.4 96-190
  Diastolic blood pressure 85±14.9 65-123
Comorbidities
  Hypertension, n (%) 16 (76.1)
  Diabetes mellitus, n (%) 14 (66.6)
Laboratory parameters
  Dyslipidemia, n (%) 9 (42.8)
  Blood glucose (mg/dL) 208.09±98.2 90-408
  Hemoglobin (g/dL) 13.23±1.4 11.2-16.1
  C-reactive protein (mg/dL) 5.41±5.7 0.1-17.6
  Leukocyte (/µL) 10,472.86±2,856.7 4,470-17,100
Neutrophil-to-lymphocyte ratio (NLR) 8.33±6.7 0.71-23.3
NIHSS score 12.76±9.3 1-33

Our analysis found that the NLR data in this study were not normally distributed. The minimum NLR value was 0.71 and the maximum was 23.3. The median and average of NLR were 6.74±11.67 and 8.33±6.69, respectively (Table 1). The NIHSS data, however, normality distributed with the minimum and the maximum values of the NIHSS scale 1 and 33, respectively (Table 1). The correlation analysis using the Spearman rank correlation test suggested a positive moderate strength correlation between NLR values and NIHSS scores, r=0.45 with p=0.041.

Discussion

In total, 21 patients who met the inclusion criteria were included in this study in which the proportion of male participants was more frequent (57.1%). This finding confirms that of a previous study revealing that male has a higher risk of stroke compared to female, and gender is one of the unmodifiable risk factors for stroke [14]. The mean age of the patients was 57.6 years old. This is because the stroke has traditionally been considered a disease of the elderly with incidence rates doubling for each decade after the age of 55 years [15].

Higher NLR is due to an increase in the number of neutrophils and a decrease in the number of lymphocytes [8]. NLR is advantageous since it is simple to test, requires low cost, and is easily available when compared to other biomarkers [16]. Data suggest that NLR is a very useful and significant indicator in bacterial pneumonia and viral infections [17]. We found the mean NLR value (8.33) in acute thrombotic stroke patients with COVID-19 was higher compared to that in ischemic stroke patients without COVID-19 (mean value of 5.12) as reported in the previous study by Ummah et. al. [18].

Several mechanisms explain why the NLR value in acute ischemic stroke patients with COVID-19 infection is high than that in acute ischemic stroke without COVID-19 infection. Neutrophils in ischemic stroke peaked 24-72 hours after the stroke onset and decreased rapidly over time [19]. Low lymphocyte counts are caused by systemic stress after stroke, which promotes the activation of the renin-angiotensin system, resulting in cortisol release and lymphocyte apoptosis [20]. Analysis of lung autopsy samples from COVID-19 patients showed neutrophil infiltration in the pulmonary capillaries, extravasation of neutrophils into the alveolar space, and neutrophilic mucositis [17]. A prominent feature of COVID-19 is multiorgan inflammation with vessel walls containing neutrophils [17]. Systemic viral infection is usually accompanied by lymphocytosis [8]; however, in SARS-CoV-2 infection, the virus could attack lymphocytes, particularly T lymphocytes [17]. The mechanism of COVID-19 associated with the reduced number of T-cells is apoptosis since SARS-CoV-2 could induce lymphocyte apoptosis [21].

The correlation between the NLR value and the NIHSS scale was positive and moderate (r=0.45; p=0.041); hence the higher the NLR value, the greater the NIHSS scale. This is in line with previous investigations suggesting that neutrophils were involved and had an important role in brain injury by exacerbating oxidative stress, blood-brain barrier damage, and risk of reinfarction [19,22]. Blood-brain barrier damage is also associated with an increased risk of hemorrhagic transformation in acute ischemic stroke [19]. On the other hand, lymphocytes have a neuroprotective effect [20]. A previous study has also estimated that the high NLR value at admission was associated with greater complications associated with COVID-19 infection [23].

There are some limitations regarding the current investigation that should be discussed. The study was conducted in a single healthcare center leading to a small sample size that could be included in the final analysis; therefore, further studies carried out in multiple healthcare centers are important to be conducted in Indonesia. Moreover, some confounding variables that might contribute to NIHSS scales were not controlled in this study. We did not classify the COVID-19 based on the severity, which could be the source of bias in the analysis.

Conclusions

There was a positive and moderate correlation between NLR values and clinical outcome of acute ischemic stroke patients with COVID-19. However, further studies are necessary, in particular, to analyze the confounding variables affecting NIHSS and NLR values.

Acknowledgments

The authors would like to thank Dr. Soetomo General Hospital Surabaya, Indonesia for the support.

Ethics approval

Not required.

Conflict of interest

The authors declare that they have no competing interests.

Funding

This study did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Underlying data

All data underlying the results are available as part of the article.

How to cite

Sarengat RF, Islam MS, Ardhi MS. Correlation of neutrophil-to-lymphocyte ratio and clinical outcome of acute thrombotic stroke in patients with COVID-19. Narra J 2021; 1(3): e50. http://doi.org/10.52225/narra.v1i3.50.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data underlying the results are available as part of the article.


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