Skip to main content

Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study



Red cell distribution width (RDW) is a parameter that indsicates the heterogeneity of red blood cell size and could be a prognostic factor in some diseases. Also, intracerebral hemorrhage (ICH) is considered a vascular event with a high mortality rate. We aimed to examine the role of RDW, neutrophil to lymphocyte ratio (NLR), and neutrophil to platelet ratio (NPR) in predicting the prognosis of patients with ICH.


This is a retrospective cohort study conducted on 140 patients with ICH admitted to the neurology ward and intensive care unit (ICU) in Imam Reza Hospital, Tabriz, Iran. Demographic data, National Institutes of Health Stroke Scale (NIHSS), and complete blood count test parameters were evaluated within 24 h after hospitalization. These variables were collected and re-evaluated three months later.


The mean age of the study population was 61.14 (± 16) years and 51% were male. The mean NLR (p = 0.05), neutrophil count (p=0.04), platelet count (p = 0.05), and NIHSS (p<0.01)  had a significant difference between the deceased patients and those who partially recovered after three months. The ROC curve showed that NIHSS (area under curve (AUC): 0.902), followed by NPR (AUC: 0.682) variables had the highest AUC.


RDW could be a relevant prognostic factor and predictor in determining 3-months survival in ICH. Nevertheless, further large-scale prospective cohorts might be needed to evaluate the associations.

Peer Review reports


Red cell distribution width (RDW) is a parameter that represents the dispersion of erythrocyte volume. Coefficient of size changes of red blood cells is more accurate than the structure of red blood cells in peripheral blood smears [1, 2]. The RDW values can be determined easily using an automatic flow cytometer as part of a standard complete blood count (CBC) [3]. Previous studies have shown that abnormal RDW values are highly associated with mortality and poor prognosis [4,5,6] in various diseases such as acute coronary syndrome, cerebral ischemic disease, heart failure, and peripheral vascular disease [7,8,9]. Higher RDW values impair blood circulation and oxygen supply, so elevated RDW values are associated with more severe and unfavorable outcomes [10].

Neutrophil to lymphocyte ratio (NLR) and neutrophil to platelet ratio (NPR) are indices that can represent the activities of the inflammatory complex and inflammatory responses in the vascular bed [11]. The NLR is a valuable biomarker for evaluation of inflammatory response following intracerebral hemorrhage (ICH), and it is associated with prognosis, in which the more severe the inflammatory response, the more aggravated nerve injury is expected [12, 13].

In 2019, the total prevalent cases of ICH were 20.66 million (95% uncertainty interval (UI): 18.02–23.42), which showed a 58.0% increase since 1990. Furthermore, ICH was accounted for 68.57 million (95% UI: 63.27–73.68) disability-adjusted life-years in 2019, which increased 25.0% since 1990 [14]. It is also associated with various complications such as hydrocephalus and cerebral edema, which could be even life-threatening [15]. Therefore, early diagnosis and prediction of its prognosis could be helpful for its management in clinical settings.

The predictive value of some blood markers in patients with different types of strokes has been evaluated in the previous research [16]. However, there is a lack of correlation between different CBC parameters simultaneously with prognosis of ICH. Therefore, the aim of this study is to describe the 3-month prognostic utility of RDW, NLR, and NPR in patients with ICH.

Material and methods

Study design and subject population

The target population in the present retrospective cohort study was patients with ICH referred to Imam Reza Hospital, Tabriz, Iran, from 2014 to 2019. Using the random sampling method, a total number of 140 participants enrolled in the study. Patients over 18 years old and a definitive diagnosis of first-time cerebral hemorrhage with complete laboratory information were included in the study. Exclusion criteria were age under 18 years, history of cancer, end-stage liver disease, acute or chronic renal failure, receiving blood products in previous three months of hospitalization, ICH following trauma, and long-term duration (i.e., above 48 h) between ICH and hospitalization.

Informed consent was obtained from all patients in the study. The study was approved by the regional ethics committee (Ethics Code: IR.TBZMED.REC.1398.797). All methods were performed in accordance with the national guidelines and regulations.

Data collection

Patient information, including age, gender, underlying diseases (e.g., hypertension, diabetes, hyperlipidemia, and ischemic heart disease), CBC parameters including white blood cell count, lymphocyte and neutrophil count, hemoglobin concentration, hematocrit, erythrocyte count, mean corpuscular hemoglobin concentration (MCHC), RDW and platelet count, neurological function and severity of the stroke measured using the National Institutes of Health Stroke Scale (NIHSS) score were collected. Moreover, mortality at discharge, within 28 days, and three months later were collected. NLR was calculated by dividing absolute neutrophil count to the absolute lymphocyte count.


The primary outcome was to determine the relationship between RDW, NLR and NPR with the 3-month prognosis of participants. The secondary outcomes were to determine the RDW, NLR and NPR mean values in patients with ICH. Also, we aimed to evaluate the short-term mortality rate and the effects of using RDW, NLR and NPR simultaneously to predict ICH prognosis.

Data analysis

Collected data were analyzed by SPSS statistical analysis software version 18 (SPSS Inc., Chicago, IL, USA). First of all, the Smirnov-Kolmogorov test was used to assess the normal distribution of variables. Demographic variables were analyzed by descriptive statistical methods, and presented with percentage, frequency and mean ± standard deviation (SD). Analysis of quantitative variables was performed using independent sample T-test or Mann–Whitney U test. The p-values less than 0.05 were considered statistically significant.


Baseline characteristics

The average age of 140 patients was 61.14 years with an SD of 16 and ranged from 18 to 96 years old. There were 71 males and 69 females in our sample (Table 1). Hypertension and hyperlipidemia were the most and the least common underlying diseases among the participants, respectively (Table 2). The median (interquartile range [IQR]) of hematoma volume in alive and deceased groups were 10 (5–25) and 35 (13–60) milliliter, respectively. There were 113 supratentorial hematomas, including putamen/internal capsule (n = 47), lobar hematoma (n = 11), thalamus (n = 24), and intraventricular (n = 31). In addition, infratentorial hematomas were located in pons (n = 15), midbrain (n = 1), and cerebellum (n = 11).

Table 1 Descriptive statistics of numerical variables
Table 2 Descriptive statistics of categorical variables


In this study, the mortality of patients in a short period of 28-day hospitalization and 3 months was considered. Results of mortality study in two time periods showed that in the final result of 3 months, 11 people were added to the number of patients who died in comparison with the 28-day study period and the deceased participants increased from 33.6% to 41.4% (Fig. 1).

Fig. 1
figure 1

28-day and 3-month outcomes of the study

Predictors of 3-month prognosis of patients with ICH

To investigate the effect of the variables on the mortality of patients, the mean of the variables by patients' outcome (death or recovery) was assessed and compared with a T-test between the two groups. Higher NIHSS scores were statistically significant with death within three months (p < 0.01), while the higher neutrophil count was associated with higher survival (p = 0.04) (Table 3 and Figure S1).

Table 3 Comparison of the mean of research variables by 3-month prognosis of patients

Mortality predictors of patients with ICH

The receiver operating characteristic (ROC) curve was utilized to compare the predictions of deaths by variables, including RBC, NIHSS, NPR, NLR, and RDW at the end of the 3-month follow-up. We found that the NIHSS (area under curve (AUC): 0.902), followed by NPR (AUC: 0.682) variables had the highest AUC (Fig. 2 and Table 4).

Fig. 2
figure 2

ROC curve of research variables to predict the death of patients at the end of the 3-month period. Abbreviations: RBC: red blood cell; RDW: red cell distribution width; NIHSS: National Institutes of Health Stroke Scale; NLR: neutrophil to lymphocyte ratio; NPR: neutrophil to platelet ratio

Table 4 Level below ROC diagram for research variables


The findings of the present study showed that higher NIHSS score and lower neutrophil count are associated with death and NPR could be a mortality predictor in patients with ICH.

RDW as an available laboratory factor, which is a marker of the variation in the volume of red blood cells [3], can be used as a prognostic factor in various health conditions [17]. Moreover, it is associated with chronic inflammation and oxidative stress [5]. Thus, it is reasonable that high RDW values can be known as an integrated risk factor for sub-optimal general health conditions, which is accompanied by a reduction in correction, improvement, and systemic defense capability [5, 9]. In our study, the role of the RDW factor in the prognosis and mortality of stroke patients with ICH in a period of three months was assessed, and it was shown that the RDW value is significantly higher in deceased patients compared to alive patients with ICH. The results of the study conducted by Lorente et al. among 117 patients with spontaneous ICH showed that RDW during the first week was higher in deceased than surviving patients (p ≤ 0.001), which is in accordance with our findings [18]. Furthermore, the article by Kaya et al. conducted on 153 participants, concluded that RDW is an important hematopoiesis indicator for the occurrence of stroke in patients with heart failure, which reveals that high RDW is associated with the development of stroke and is strongly associated with cardiovascular causes [10]. A study by Moreno et al. also showed that RDW is a strong indicator for stroke [19]. Moreover, another study by Kara et al. concluded that RDW, an easily accessible and inexpensive test, is potentially an important parameter in diagnosing stroke and may predict prognosis. Also, in this study NIHSS was used to determine the severity of the stroke and it was found that the increase in stroke severity is associated with higher RDW, and RDW is a strong predictor of the stroke severity [20].

Of note, a wide range of diseases and even physiological conditions lead to changes in the level of RDW in the human body. For example, different types of anemia, inflammatory diseases, and cancers can cause changes in the size of red blood cells [21]. Thus, RDW may not be specific enough to screen for stroke in many patients. One of the most appropriate scales to assess the stroke severity is NIHSS which measures the severity of a neurological deficit. The NIHSS is a standard diagnostic tool for quickly assessing the severity of a stroke and related neurologic deficits, which is used in determining the prognosis. NIHSS had the highest association with the mortality rate in stroke patients, so this variable was significantly higher among the deceased group. Also, the area under the ROC curve for this variable shows the expressive power of predicting the death of patients by this variable [22]. In addition to RDW and NIHSS, NLR, platelets, and neutrophils were significantly effective in determining the prognosis of the intracerebral hemorrhage [23].

The NLR is calculated as dividing the number of neutrophils to the number of lymphocytes in peripheral blood and measures the inflammatory response [24]. An acute inflammatory response occurs in severe conditions such as ischemic stroke, cerebral hemorrhage, and acute coronary syndrome. Therefore, this marker can determine the prognosis and evaluation of disease outcomes in the mentioned diseases [11, 24, 25]. In this regard, our results also showed that higher RDW, NIHSS, RBC, and platelet count increases the risk of short-term and long-term mortality in patients with stroke.

Numerous studies have shown that high levels of neutrophils are sensitive markers for determining mortality [23]. Jickling et al. and Maestrini et al. showed that high neutrophil level is associated with high infarct volume and poor prognosis [26, 27]. In addition to its function in homeostasis, platelets also play a role in the inflammatory responses. In fact, platelets can facilitate neutrophil entry into the brain parenchyma, and higher neutrophil counts will lead to more severe damage [28].

We acknowledge that our study had several limitations. First, since it was a retrospective study, restrictions in data collection, participant inclusion, and lack of a control group exist. Second, it was conducted in a single hospital. Third, the variables were only measured in two time points in 28-days, and 3-months and they were not remeasured during the period of hospitalization. Fourth, the follow-up was limited to 3 months and no long-term follow-up was conducted.


The current study demonstrated that NIHSS and neutrophil count are associated with ICH mortality. According to the results of the present study, it is suggested to increase the sample size in future studies to increase the accuracy of the results, control and delete other probable variables affecting RDW in the sample, including the information about the region and volume of hemorrhage and evaluate the relationship between study variables and the prognosis of patients in different age groups.

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available due for they are personal data but are available from the corresponding author on reasonable request.


  1. Lippi G, Plebani M. Red blood cell distribution width (RDW) and human pathology. One size fits all. Clin Chem Lab Med (CCLM). 2014;52(9):1247–9.

    CAS  PubMed  Google Scholar 

  2. Şenol K, Saylam B, Kocaay F, Tez M. Red cell distribution width as a predictor of mortality in acute pancreatitis. Am J Emerg Med. 2013;31(4):687–9.

    Article  Google Scholar 

  3. Sadaka F, O’Brien J, Prakash S. Red cell distribution width and outcome in patients with septic shock. J Intensive Care Med. 2012;28(5):307–13.

    Article  Google Scholar 

  4. Feng G-H, Li H-P, Li Q-L, Fu Y, Huang R-B. Red blood cell distribution width and ischaemic stroke. Stroke Vasc Neurol. 2017;2(3):172–5.

    Article  Google Scholar 

  5. Förhécz Z, Gombos T, Borgulya G, Pozsonyi Z, Prohászka Z, Jánoskuti L. Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state. Am Heart J. 2009;158(4):659–66.

    Article  Google Scholar 

  6. Sousa R, Gonçalves C, Guerra IC, Costa E, Fernandes A, do BomSucesso M, et al. Increased red cell distribution width in Fanconi anemia: a novel marker of stress erythropoiesis. Orphanet J Rare Dis. 2016;11(1):102.

    Article  Google Scholar 

  7. Adamsson Eryd S, Borné Y, Melander O, Persson M, Smith JG, Hedblad B, et al. Red blood cell distribution width is associated with incidence of atrial fibrillation. J Intern Med. 2014;275(1):84–92.

    Article  CAS  Google Scholar 

  8. Danese E, Lippi G, Montagnana M. Red blood cell distribution width and cardiovascular diseases. J Thorac Dis. 2015;7(10):E402–11.

    PubMed  PubMed Central  Google Scholar 

  9. Gul M, Uyarel H, Ergelen M, Karacimen D, Ugur M, Turer A, et al. The relationship between red blood cell distribution width and the clinical outcomes in non-ST elevation myocardial infarction and unstable angina pectoris: A 3-year follow-up. Coron Artery Dis. 2012;23:330–6.

    Article  Google Scholar 

  10. Kaya A, Isik T, Kaya Y, Enginyurt O, Gunaydin ZY, Iscanli MD, et al. Relationship between red cell distribution width and stroke in patients with stable chronic heart failure: a propensity score matching analysis. Clin Appl Thromb Hemost. 2013;21(2):160–5.

    Article  Google Scholar 

  11. Tamhane UU, Aneja S, Montgomery D, Rogers E-K, Eagle KA, Gurm HS. Association Between Admission Neutrophil to Lymphocyte Ratio and Outcomes in Patients With Acute Coronary Syndrome. Am J Cardiol. 2008;102(6):653–7.

    Article  Google Scholar 

  12. Cai L, Zeng H, Tan X, Wu X, Qian C, Chen G. The Role of the Blood Neutrophil-to-Lymphocyte Ratio in Aneurysmal Subarachnoid Hemorrhage. Front Neurol. 2021;12:671098.

    Article  Google Scholar 

  13. Xiao L, Zheng H, Li J, Wang Q, Sun H. Neuroinflammation Mediated by NLRP3 Inflammasome After Intracerebral Hemorrhage and Potential Therapeutic Targets. Mol Neurobiol. 2020;57(12):5130–49.

    Article  CAS  Google Scholar 

  14. Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, et al. Global, regional, and national burden of stroke and its risk factors, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology. 2021;20(10):795-820.

  15. Park C, Charalambous LT, Yang Z, Adil SM, Hodges SE, Lee H-J, et al. Inpatient mortality and healthcare resource utilization of nontraumatic intracerebral hemorrhage complications in the US. J Neurosurg JNS. 2021:1–10.

  16. Ören O, Haki C, Kaya H, Yüksel M. Predictive value of admission neutrophil/lymphocyte ratio in symptomatic intracranial hemorrhage after stroke thrombolysis. Neurol Sci. 2022;43(1):435-40.

  17. Ani C, Ovbiagele B. Elevated red blood cell distribution width predicts mortality in persons with known stroke. J Neurol Sci. 2009;277(1–2):103–8.

    Article  Google Scholar 

  18. Lorente L, Martín MM, González-Rivero AF, Pérez-Cejas A, Sabatel R, Ramos L, et al. Red blood cell distribution width and mortality of spontaneous intracerebral hemorrhage patients. Clin Neurol Neurosurg. 2020;195:106066.

    Article  Google Scholar 

  19. Ramírez-Moreno JM, Gonzalez-Gomez M, Ollero-Ortiz A, Roa-Montero AM, Gómez-Baquero MJ, Constantino-Silva AB. Relation between red blood cell distribution width and ischemic stroke: a case-control study. Int J Stroke. 2013;8(6):E36-E.

    Article  Google Scholar 

  20. Kara H, Degirmenci S, Bayir A, Ak A, Akinci M, Dogru A, et al. Red cell distribution width and neurological scoring systems in acute stroke patients. Neuropsychiatr Dis Treat. 2015;11:733–9.

    Article  Google Scholar 

  21. Silva Litao MK, Kamat D. Back to basics: red blood cell distribution width: clinical use beyond hematology. Pediatr Rev. 2018;39(4):204.

    Article  Google Scholar 

  22. Gattringer T, Posekany A, Niederkorn K, Knoflach M, Poltrum B, Mutzenbach S, et al. Predicting early mortality of acute ischemic stroke. Stroke. 2019;50(2):349–56.

    Article  Google Scholar 

  23. Yang W, Liu Y. Platelet-lymphocyte ratio is a predictor of venous thromboembolism in cancer patients. Thromb Res. 2015;136(2):212–5.

    Article  CAS  Google Scholar 

  24. Ozcan Cetin EH, Cetin MS, Aras D, Topaloglu S, Temizhan A, Kisacik HL, et al. Platelet to lymphocyte ratio as a prognostic marker of in-hospital and long-term major adverse cardiovascular events in st-segment elevation myocardial infarction. Angiology. 2015;67(4):336–45.

    Article  Google Scholar 

  25. Kundi H, Balun A, Cicekcioglu H, Cetin M, Kiziltunc E, Cetin ZG, et al. The relation between platelet-to-lymphocyte ratio and pulmonary embolism severity index in acute pulmonary embolism. Heart Lung. 2015;44(4):340–3.

    Article  Google Scholar 

  26. Jickling GC, Liu D, Ander BP, Stamova B, Zhan X, Sharp FR. Targeting neutrophils in ischemic stroke: translational insights from experimental studies. J Cereb Blood Flow Metab. 2015;35(6):888–901.

    Article  CAS  Google Scholar 

  27. Maestrini I, Strbian D, Gautier S, Haapaniemi E, Moulin S, Sairanen T, et al. Abstract W P51: A Higher Neutrophil Count Before Thrombolysis Is Associated With Worse Outcome. Stroke. 2015;46(1suppl_1):AWP51-AWP.

    Google Scholar 

  28. He W, Ruan Y, Yuan C, Cheng Q, Cheng H, Zeng Y, et al. High Neutrophil-to-Platelet Ratio Is Associated With Hemorrhagic Transformation in Patients With Acute Ischemic Stroke. Front Neurol. 2019;10(1310).

Download references


We are grateful to all who participated in this study.


The authors received no financial support for the research.

Author information

Authors and Affiliations



S.S. and Y.S. conceptualized and designed the study; E.B. implemented the study and collected the data; E.B., Y.S., and S.A.N. wrote the first draft of the paper and critically revised the manuscript. All the authors reviewed and approved the final draft of the manuscript.

Corresponding author

Correspondence to Seyed Aria Nejadghaderi.

Ethics declarations

Ethics approval and consent to participate

Written informed consent was obtained from all of the participants at the beginning of the study. The study was approved by the ethics committee of Tabriz University of Medical Sciences (Ethics number: IR.TBZMED.REC.1398.797). All methods were performed in accordance with the national guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

The authors declared no potential conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Figure S1.

Evaluation of mean variables by patient's final prognosis.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shaafi, S., Bonakdari, E., Sadeghpour, Y. et al. Correlation between red blood cell distribution width, neutrophil to lymphocyte ratio, and neutrophil to platelet ratio with 3-month prognosis of patients with intracerebral hemorrhage: a retrospective study. BMC Neurol 22, 191 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: