- Doctoral Program of Medical Science, Faculty of Medicine, Surabaya, East Java, Indonesia
- Department of Neurosurgery, Faculty of Medicine, Universitas Airlangga / Dr. Soetomo General Academic Hospital, Surabaya, East Java, Indonesia
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Airlangga, Surabaya, East Java, Indonesia
Correspondence Address:
Asra Al Fauzi, Department of Neurosurgery, Faculty of Medicine, Universitas Airlangga / Dr. Soetomo General Academic Hospital, Surabaya, East Java, Indonesia.
DOI:10.25259/SNI_745_2024
Copyright: © 2024 Surgical Neurology International This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.How to cite this article: Khamim Thohari1, Asra Al Fauzi2, Djoko Agus Purwanto3. Neutrophil-lymphocyte ratio: A simple and accurate biomarker for the prognosis of patients with intracerebral bleeding, a study of 115 cases. 27-Dec-2024;15:475
How to cite this URL: Khamim Thohari1, Asra Al Fauzi2, Djoko Agus Purwanto3. Neutrophil-lymphocyte ratio: A simple and accurate biomarker for the prognosis of patients with intracerebral bleeding, a study of 115 cases. 27-Dec-2024;15:475. Available from: https://surgicalneurologyint.com/surgicalint-articles/13306/
Abstract
Background: Stroke is high in both mortality and disability; this makes stroke the world’s second leading cause of death and the number one cause of long-term impairment. Surprisingly, intracerebral hemorrhage (ICH), the second largest type of stroke, is deadlier than ischemic strokes , with a high mortality rate and lack of effective treatment for ICH. This case report aims to identify and collect the various factors that increase the mortality rate of patients with ICH.
Methods: A retrospective review was done on 115 patients who experienced ICH at neurosurgical unit care between 2021 and 2024. Data were collected from medical record post admission reports. The study concentrated on factors such as the initial Glasgow coma scale (GCS) score, the volume of intracerebral bleeding, the ratio of neutrophils to lymphocytes, leukocyte count, and the administration of neuroprotective medications. We first ran univariate tests. Next, to evaluate the relationship between each component and patient mortality, we performed bivariate analyses with Spearman’s correlation test. To determine the predictor factor from all the various variables that have been evaluated, we use multivariate analysis with logistic regression.
Results: Univariate analysis results show that ICH often occurs at the age of 41–50 years in males. Meanwhile, most of the patients who died were men aged 51–60 years. The results of the bivariate analysis showed that each predictor had a significant relationship with mortality. GCS has a negative relationship with mortality (−0.633 with P P
Conclusion: This study showed that GCS, ICH volume, leukocyte count, and NLR are predictors of mortality in ICH patients. At present, no ICH therapy can reduce complications and improve the physical and mental condition of ICH patients. Therefore, further research is needed to find an effective therapy for ICH.
Keywords: Glasgow coma scale (GCS), Leukocyte, Hematome, Neutrophil-to-lymphocyte ratio (NLR), Neuroprotektan
INTRODUCTION
Stroke is a clinical syndrome of focal or global neurological deficit that lasts more than 24 hours or causes death as a result of disorders or diseases of the cerebral blood vessels.[
Stroke is a major health issue that leads to both mortality and disability. It is the second most common cause of death in the world and the leading reason patients with stroke experience long-term physical and mental challenges. ICH, the second most common type of stroke, has a higher mortality rate than ischemic strokes, causing twice the number of fatalities.[
The incidence of ICH in the Asian population is much higher than on any other continent. In addition, the incidence of ICH increases with age, with a marked difference in the age of 85 and over. Men have a higher risk of developing ICH than women, and the basal ganglia area is the most common location for ICH.[
Several factors increase the risk of mortality in ICH patients, including older age, larger blood clots (hematomas exceeding 30 cc), and bleeding within the fluid surrounding the brain (intraventricular hemorrhage [IVH]).[
With a high mortality rate and lack of effective treatment for ICH, this case report aims to identify and collect the various factors that increase the mortality rate of patients with ICH. By analyzing this specific case, healthcare professionals can gain valuable insights and become more vigilant in monitoring ICH patients.
METHODS
This study was to identify and collect the various factors influencing the mortality of patients with ICH who were treated at RSUD M. Soewandhie between 2021 and 2023; a retrospective review was conducted. A total of 115 patients had their medical records examined. The study concentrated on factors such as the initial GCS score in the emergency department, volume of intracerebral bleeding, the ratio of neutrophils to lymphocytes (N/L), leukocyte count, and the administration of neuroprotective medications. Next, we looked at the relationship between each variable with mortality rates and determined the predictor factor.
This study employed Statistical Package for the Social Sciences Statistics 25 for statistical analysis. To get the lowest, maximum, and average values for each variable, we first ran univariate tests. Next, to evaluate the relationship between each component and patient mortality, we performed bivariate analyses with Spearman’s correlation test. To determine the predictor factor from all the various variables that have been evaluated, we use multivariate analysis with logistic regression.
RESULTS
Univariate analysis
A study of the influence of factors on mortality was conducted on patients with hemorrhagic stroke who received treatment at M. Soewandhi Hospital, totaling 115 from 2021 to 2023. The patient profile can be seen in
Patients who died in the study sample were mostly between 41 and 50 years old (16 patients, 61.6%) and over 60 years old (16 patients, 61.6%). The majority of these patients were male (32 patients, 61.5%). The most common therapy profiles for deceased patients were citicoline and mecobalamin (33 patients, 63.5%).
On the other hand, the most common age group for surviving patients was 51–60 years old (33 patients, 52.4%). The most common gender among surviving patients was female (35 patients, 55.6%). The most common therapy profile for surviving patients was also citicoline and mecobalamin (48 patients, 76.7%).
The mean GCS score for patients who have passed away is 6.69, which is lower than the mean GCS score for patients who are still alive (12.51). The mean leukocyte count for patients who had passed away was noticeably greater than that of patients who were still alive (16927.50 vs. 11459.21). The same was observed for NLR and ICH volume. The mean NLR for deceased patients was 13.49, which is higher than the mean NLR for living patients of 6.70. Finally, the mean ICH volume for deceased patients was 35.01, which is higher than the mean ICH volume for living patients, 13.36. Details of the clinical data profile of the patients can be seen in
Bivariate analysis
Bivariate analysis was conducted on each factor in relation to the mortality that occurred. The analysis was performed using Spearman’s rank correlation analysis because the mortality data are nominal in scale. The results of the bivariate analysis are presented in the
Analysis of the relationship between 4 predictor factors and mortality, as shown in
In the meantime, there is a strong positive correlation between mortality and the other three parameters. The NLR factor, with a coefficient of r 0.418, showed a moderate positive relationship, and the leukocyte and ICH volume factors, with coefficients of r 0.527 and 0.671, showed strong positive relationships. The results of the relationship between the four factors showed that the higher the leukocyte, NLR, and ICH volume values, the higher the probability of patient death.
Multivariate analysis
The results of the previous bivariate analysis concluded that all predictor factors have a significant relationship with mortality. Therefore, all predictor factors will be used in the multivariate analysis to determine the predictors of mortality. The results of the multivariate analysis on mortality in patients with hemorrhagic stroke with a sample of 115 can be presented as follows:
Multivariate analysis with logistic regression demonstrates that all predictor factors had a significant impact (P < 0.05) on mortality patients with hemorrhagic stroke[
The predictor factor GCS captured a b coefficient value with a negative direction, indicating that the GCS factor has a negative effect on the mortality of hemorrhagic stroke patients. It means the lower the GCS score, the higher the mortality rate. The odds ratio (OR) value for the GCS factor is 0.737, this showed that the lower the patient’s GCS score, the 1.361 times more likely the patient is to die compared to when the patient’s GCS score is higher.
Predictor factors of leukocyte count get a positive coefficient b, indicating that leukocyte count has a significant positive effect on the mortality of hemorrhagic stroke patients. This means that the higher the patient’s leukocyte count, the higher the mortality rate. The OR value for the leukocyte count factor was 1.000240, which reveals that for every increase in the patient’s leukocyte count, the risk of death is 1.000240 times higher than for a decrease in the patient’s leukocyte count.
The predictor factors of NLR were obtained with a positive b coefficient value, indicating that the NLR factor has a significant positive effect on the mortality of hemorrhagic stroke patients. This means that the higher the NLR value of the patient, the higher the mortality rate. The OR value for the NLR factor was 1.122, indicating that for every increase in the NLR value of the patient, the patient’s risk of death is 1.122 times higher compared to when the NLR.
Predictors of ICH volume were found to have a positive b coefficient, indicating that ICH volume has a significant positive effect on mortality in patients with hemorrhagic stroke. This means that the higher the ICH volume, the higher the mortality rate. The OR for ICH volume was 1.032, indicating that for every unit increase in ICH volume, the risk of death is 1.031 times higher.
DISCUSSION
The study revealed that the highest incidence of ICH occurred in the 51–60 age group with 47 patients; 14 of 47 patients are deceased. Male is the most common gender affected by ICH. The results of this study are in line with other studies that have shown the incidence of postictal seizure (PIS) increases significantly faster in the 18–44 and 45–64 age groups.[
The highest mortality rate occurs in the 41–50 age group and patients over 60 years old. Males have a higher mortality rate when ICH happens. These results are also supported by other studies that show that death from ICH often occurs at older ages (over 67 years old).[
The Hemphill ICH score has proven to be a reliable indicator of spontaneous ICH (SICH) prognosis despite the development of several other measures for predicting functional outcomes and mortality following ICH. The functional status score (FUNC) also accounts for the presence of preICH cognitive impairment, whereas the Essen ICH score is based solely on clinical factors (age, degree of consciousness, and severity of neurological impairments). This means that the Essen ICH score has the advantage of not requiring the measurement of ICH volume.[
The GCS score can give a picture of a patient’s clinical condition on arrival at the emergency room (ER) and can be a factor in determining the prognosis of ICH patients. This study found that the lower the GCS score, the higher the risk of death. The OR for the GCS factor was 0.737, suggesting the risk of death is 1/0.735 = 1.361 times higher for patients with a lower GCS score compared to those with a higher GCS score. This is consistent with other studies that showed ICH patients who die have a lower GCS score on arrival at the ER.[
Hematoma volume is a crucial factor in all ICH prognostic scores and has been shown to be the best independent predictor of clinical outcome after SICH.[
Leukocyte count was also demonstrated to be correlated with death rates in this investigation. The mortality rate increases with leukocyte count. The leukocyte count OR was 1.000240, meaning that the chance of dying increased by 1.000240 times with each rise in leukocyte count. This is probably due to the fact that increased leukocyte counts have been linked to the development of hematomas and early neurological decline.[
NLR is the amount of neutrophils divided by the total number of lymphocytes in peripheral blood.[
Recently, NLR has been used as an assessment to evaluate patient mortality rates, and numerous clinical models of brain disorders have confirmed the NLR’s prognostic power for clinical outcomes.[
This association between NLR and mortality can be explained by understanding NLR; after ICH occurs, the NLR is thought to reflect the equilibrium between the immune system and the systemic inflammatory response.[
This study has shown that the most common neuroprotective therapy used in hemorrhagic stroke is the combination of citicoline and mecobalamin. The co-administration of citicoline and mecobalamin showed the highest number of survivors and deaths, indicating that no effective therapy for ICH has been found among all the neuroprotectants administered. Other studies also highlight that no effective drugs have been developed for clinical use due to the complexity of ICH pathology.[
CONCLUSION
ICH is a subtype of stroke with a high mortality rate. This study showed that GCS, ICH volume, leukocyte count, and NLR are predictors of mortality in ICH patients. At present, no neuroprotector therapy for ICH can reduce complications and improve the physical and mental condition of ICH patients. Therefore, further research is needed to find an effective therapy for ICH.
Ethical Approval
The Institutional Review Board approval is not required.
Declaration of patient consent
Patient’s consent was not required as there are no patients in this study.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Disclaimer
The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the Journal or its management. The information contained in this article should not be considered to be medical advice; patients should consult their own physicians for advice as to their specific medical needs.
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