Retrospective Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Exp Med. Sep 20, 2024; 14(3): 95540
Published online Sep 20, 2024. doi: 10.5493/wjem.v14.i3.95540
Platelet-to-neutrophil ratio predicts hemorrhagic transformation and unfavorable outcomes in acute ischemic stroke with intravenous thrombolysis
Ausanee Chaiwisitkun, Sombat Muengtaweepongsa, Center of Excellence in Stroke, Faculty of Medicine, Thammasat University, Klonglaung 12120, Pathum Thani, Thailand
ORCID number: Sombat Muengtaweepongsa (0000-0003-3715-4428).
Author contributions: Chaiwisitkun A and Muengtaweepongsa S were responsible for the conceptualization and design of the study; Muengtaweepongsa S was responsible for the formal analysis; Chaiwisitkun A and Muengtaweepongsa S were responsible for the investigation; Chaiwisitkun A was responsible for the original draft preparation; Muengtaweepongsa S was responsible for validation, review, and editing.
Institutional review board statement: The Human Research Ethics Committee of Thammasat University (Medicine) bestowed approval for this study and granted a waiver for the requirement of informed consent, under approval number 284/2564. All methodologies employed throughout the study adhered scrupulously to pertinent guidelines and regulations.
Informed consent statement: The Human Research Ethics Committee of Thammasat University (Medicine) bestowed approval for this study and granted a waiver for the requirement of informed consent, under approval number 284/2564.
Conflict-of-interest statement: The author(s) declare no competing interests.
Data sharing statement: The datasets generated and/or analyzed during the current study are available in the Research Gate repository, DOI: 10.13140/RG.2.2.25908.73606.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sombat Muengtaweepongsa, MD, MSc, Professor, Center of Excellence in Stroke, Division of Neurology, Department of Medicine, Faculty of Medicine, Thammasat University, Rangsit Campus, No. 99/209 Paholyothin Road, Klonglaung 12120, Pathum Thani, Thailand. musombat@tu.ac.th
Received: April 12, 2024
Revised: May 22, 2024
Accepted: June 12, 2024
Published online: September 20, 2024
Processing time: 139 Days and 0.7 Hours

Abstract
BACKGROUND

Acute ischemic stroke (AIS) retains a notable stance in global disease burden, with thrombolysis via recombinant tissue plasminogen activator (rtPA) serving as a viable management approach, albeit with variable outcomes and the potential for complications like hemorrhagic transformation (HT). The platelet-to-neutrophil ratio (P/NR) has been considered for its potential prognostic value in AIS, yet its capacity to predict outcomes following rtPA administration demands further exploration.

AIM

To elucidate the prognostic utility of P/NR in predicting HT and clinical outcomes following intravenous rtPA administration in AIS patients.

METHODS

Data from 418 AIS patients treated with intravenous rtPA at Thammasat University Hospital from January 2018 to June 2021 were retrospectively analyzed. The relationship between P/NR and clinical outcomes [early neurological deterioration (E-ND), HT, delayed ND (D-ND), and 3-mo outcomes] was scrutinized.

RESULTS

Notable variables, such as age, diabetes, and stroke history, exhibited statistical disparities when comparing patients with and without E-ND, HT, D-ND, and 3-mo outcomes. P/NR prognostication revealed an optimal cutoff of 43.4 with a 60.3% sensitivity and a 52.5% specificity for 90-d outcomes. P/NR prognostic accuracy was statistically significant for 90-d outcomes [area under the curve (AUC) = 0.562], D-ND (AUC = 0.584), and HT (AUC = 0.607).

CONCLUSION

P/NR demonstrated an association with adverse 3-mo clinical outcomes, HT, and D-ND in AIS patients post-rtPA administration, indicating its potential as a predictive tool for complications and prognoses. This infers that a diminished P/NR may serve as a novel prognostic indicator, assisting clinicians in identifying AIS patients at elevated risk for unfavorable outcomes following rtPA therapy.

Key Words: Acute ischemic stroke; Platelet-to-neutrophil ratio; Prognosis; Hemorrhagic transformation; Recombinant tissue plasminogen activator; Thrombolysis; Clinical outcomes

Core Tip: The study explored the prognostic value of the platelet-to-neutrophil ratio (P/NR) in patients with acute ischemic stroke (AIS) who underwent thrombolysis with recombinant tissue plasminogen activator (rtPA). It aimed to determine if P/NR could predict hemorrhagic transformation and clinical outcomes following rtPA treatment. An optimal P/NR cutoff value was identified for predicting 90-d outcomes with moderate sensitivity and specificity. The study concluded that P/NR is associated with negative 3-mo outcomes, suggesting it could be a useful indicator for predicting risks post-rtPA treatment in AIS patients.



INTRODUCTION

Stroke has perpetually maintained a predominant position, ranking within the top three, regarding disease burden over the past two decades, as assessed through disability-adjusted life-years (DALYs)[1,2]. The gravity of cerebral infarction, witnessed during acute ischemic stroke (AIS), bears a correlation with the disease's burden[3]. Ensuring successful AIS management proves pivotal in mitigating its associated burdens[4]. Cardioembolic and atherothrombotic strokes are the subtypes of ischemic infarct associated with the highest in-hospital mortality. The short-term prognosis for patients with these types of strokes is poorer compared to other ischemic stroke subtypes[5]. Despite the absence of a mortality reduction, intravenous thrombolysis employing recombinant tissue plasminogen activator (rtPA) has been substantiated to attenuate the burden in AIS[6]. Regrettably, merely 50% of patients manifest significantly favorable outcomes post intravenous rtPA administration[7]. Stroke survivors, perpetuating suboptimal outcomes subsequent to treatment, endure the remainder of their existence with disadvantageous DALYs[8]. A salient progenitor of unfavorable outcomes resides in complications attributed to intracranial hemorrhagic transformation (HT) in association with intravenous rtPA[9]. A multitude of predictive instruments for outcomes in AIS, following treatment with intravenous rtPA, have permeated clinical practice; nevertheless, the parameters encapsulated within each tool exhibit variance[10,11].

In the AIS pathogenesis, platelet activation and aggregation emerge as critical elements. Amidst pathological circumstances, an excessive activation and aggregation of platelets can precipitate thrombosis and vascular occlusion, thereby instigating ischemic stroke or heart disease[12]. A plethora of studies have authenticated a decrement in platelet count within the circulatory system of AIS patients, whereas the platelet distribution width and mean platelet volume experience an elevation[13]. The immune response is recognized as imperative in the pathological alterations observed in AIS. Ischemic and anoxic brain tissue instigates the infiltration of peripheral blood leukocytes into the afflicted area. Neutrophils, the initial cells to be recruited into the brain following a stroke, discharge inflammatory mediators within the ischemic brain area, exacerbate brain damage[14] and foster the incidence of ischemia by inducing thrombosis via various mechanisms, such as interfacing with platelets, coagulation factors, and discharging proteases[15]. The platelet-to-neutrophil ratio (P/NR) emerges as a novel biomarker that amalgamates platelets and neutrophil counts. Contrasting with singular platelet and neutrophil counts, P/NR mirrors the severity of both thrombosis and inflammation, elucidating the liaison between the two processes. Within the realm of stroke, a recent study posited that the level of P/NR upon admission is associated with the prognosis of AIS patients[16]. Furthermore, another study advocated that P/NR surpasses other complete blood count ratios in prognosticating an adverse outcome in AIS patients[17]. Within this retrospective study, our objective was to illustrate the clinical value of P/NR in prognosticating the outcome in AIS patients who have been treated with intravenous rtPA.

MATERIALS AND METHODS
Study population

This retrospective study was conducted utilizing data procured from Thammasat University Hospital (TUH). The patient cohort comprised individuals diagnosed with AIS who underwent intravenous thrombolysis treatment, specifically utilizing intravenous rtPA, in adherence to the TUH protocol between January 2018 and June 2021. A complete blood count (CBC) was mandated before confirming the decision to administer intravenous rtPA[18].

Inclusion criteria: Patients formally diagnosed with AIS who met the criteria for and consequently received intravenous rtPA treatment within 4.5 h of stroke onset, in line with the stroke fast-track criteria established by TUH. Age range between 18 years and 85 years.

Exclusion criteria: Patients with a history of infection or surgery within the preceding 2 wk. An underlying disease condition such as malignancy, rheumatoid arthritis, or connective tissue disease. Chronic liver disease (Child-Pugh Score > B). Chronic kidney disease (serum creatinine > 2.0 mg/dL). Prior abnormalities in platelet and white blood cell counts. Ultimately, 418 patients were incorporated into the study, forming the basis for subsequent analysis and findings.

Ethical approval and methodological adherence

The Human Research Ethics Committee of Thammasat University (Medicine) bestowed approval for this study and granted a waiver for the requirement of informed consent, under approval number: 284/2564. All methodologies employed throughout the study adhered scrupulously to pertinent guidelines and regulations.

Data collection

Data procurement entailed an assessment by proficient clinicians, predicated on clinical manifestations, to verify alignment with the diagnostic criteria for acute stroke. Stroke severity upon admission was gauged using the National Institute of Health Stroke Scale (NIHSS). To exclude hemorrhagic stroke, all patients underwent emergent imaging via computerized tomography (CT) scan or magnetic resonance imaging (MRI) prior to intravenous rtPA administration. Pre-rtPA intravenous CBC was obtained. Additionally, baseline clinical attributes, inclusive of alternative laboratory examinations within 24 h of admission [e.g., fasting blood glucose and low-density lipoprotein (LDL)] and demographic data, were amassed for all patients[19].

Evaluation standard

Criteria were as follows: Hypertension was characterized by recurrent systolic blood pressure readings ≥ 140 mmHg upon admission or antecedent hypertension history. Diabetes encapsulated either a prior diagnosis or admission with diabetes mellitus, and either fasting plasma glucose ≥ 126 mg/dL or HbA1C ≥ 6.5%. Atrial fibrillation (AF) required precedent AF episodes or admission-time AF electrocardiogram recordings. Hyperlipidemia entailed hyperlipidemia history or admission with dyslipidemia, and either LDL ≥ 100 mg/dL or triglyceride ≥ 150 mg/dL[20].

Infarct volume was calculated employing 418 cases examined via CT scans or MRI, utilizing the formula 0.5 × a × b × c (where a is the maximum longitudinal diameter, b is the maximum transverse diameter perpendicular to a, and c denotes 10 mm slices with infarction), with volumes < 5 cm³ and ≥ 5 cm³ defining small and large infarct volumes, respectively[21].

Outcomes

Clinical outcomes encompassed early neurological deterioration (E-ND), HT, delayed ND (D-ND), and 3-mo poor outcomes. HT was delineated as any perceptible hemorrhage discerned on brain CT or MRI within 24 h post-thrombolysis, categorized via the Heidelberg Bleeding Classification[22]. E-ND was delineated as an augmentation of ≥ 4 points in NIHSS scores or death within 24 hours subsequent to intravenous thrombolysis. D-ND and 3-mo clinical outcomes were appraised utilizing the modified Rankin Scale (mRS), with D-ND and poor 3-mo outcomes defined as mRS scores of 3–6 at discharge (24 h to 7 d) and 3 mo post-onset, respectively.

Statistical analysis

Analytical procedures were executed utilizing the Statistical Program for Social Sciences (SPSS), version 22.0 (IBM, West Grove, PA, United States). The Mann-Whitney U-test facilitated the evaluation of disparities between two groups for variables demonstrating a nonparametric distribution, while the Chi-square test was employed to discern variations between categorical variables. Continuous and categorical variables were depicted utilizing medians with interquartile ranges (IQR) and percentages, respectively. The prognostic impact of P/NR was appraised by employing the receiver operating characteristic (ROC) curve, with a P-value < 0.05 establishing statistical significance in all comparative group analyses.

RESULTS
Demographic and clinical overview of the study population

This investigation encompassed 418 patients, comprising 169 females (40.4%) and 249 males (59.6%), with a mean age of 64.5 years (range: 53-72 years) and a mean NIHSS score upon admission of 10 (IQR: 6-16). The predominant risk factors identified were hypertension (71.5%), hyperlipidemia (66%), and diabetes (33.7%). The mean time from stroke onset to intravenous rtPA administration was 170 min (IQR: 124-218 minutes). Laboratory findings included hemoglobin at 13.3 g/dL (IQR: 12.2-14.4) and white blood cell count at 8.4 × 109/L (IQR: 6.81-10.51 × 109/L), among other parameters. Antihypertensive therapy was the most prevalent current medication at 45.6%. Patient outcomes following intravenous rtPA at various time points (24 h, 24 h to 7 d, and 3 mo post-thrombolysis) were also analyzed. Of note, 24 (5.7%) exhibited E-ND, while 75 (18%) manifested HT within the initial 24 h following intravenous rtPA. Twelve patients (2.87%) died in the hospital. Of these, eight patients' deaths were due to neurologic complications.

Correlation between P/NR and clinical outcomes

Eligible patients were stratified into groups according to the presence or absence of distinct clinical outcomes (E-ND, HT, D-ND, and 3-mo outcomes). In the E-ND assessment, statistically significant disparities were observed between groups with and without E-ND in terms of age, diabetes prevalence, current alcohol consumption, baseline blood glucose, and infarct volume, as further detailed. For instance, a statistically higher age was observed in the E-ND group (70 vs 64; P = 0.045).

Differences were also evident when comparing patients with and without HT. Variables that demonstrated statistical variance encompassed previous stroke, stroke etiology, NIHSS upon admission, and LDL, among others. For instance, individuals without a prior stroke manifested a higher proportion of HT than those with a previous stroke (13% vs 4%; P = 0.027).

Differences in clinical characteristics between the presence and absence of D-ND highlighted variables such as age, sex, and hypertension as statistically significant. For example, the D-ND group exhibited a higher mean age than the non-D-ND group (67 vs 60 years; P < 0.001).

In distinguishing between favorable and unfavorable 3-mo clinical outcomes, statistically significant variations were found in variables such as age, sex, and hypertension. Notably, patients with poor 3-mo outcomes had a mean age of 69 years, contrasted with 60 years for those with favorable outcomes (P < 0.001).

The ROC and area under the curve (AUC) analyses for P/NR in prognosticating 90-d outcomes post-ischemic stroke following intravenous thrombolysis revealed an optimal P/NR cutoff value of 43.4, with a 60.3% sensitivity and a 52.5% specificity, 32.86% (95%CI: 26.56-39.17) positive predictive value and a 77.45% (95%CI: 71.72-83.19) negative predictive value. P/NR demonstrated a statistically significant prognostic accuracy of 56.2% for 90-d outcomes (AUC = 0.562, 95%CI: 0.501-0.624, P = 0.048).

ROC curves also provided prognostic insights for P/NR in relation to D-ND and HT post-ischemic stroke following intravenous thrombolysis. Notably, the P/NR offered a 58.4% accurate prognostication for D-ND (AUC = 0.584, 95%CI: 0.504-0.664, P = 0.044), and a 60.7% accurate prognostication for HT (AUC = 0.607, 95%CI: 0.535-0.678, P = 0.004).

These findings, along with further relevant data, are articulated within Figure 1, Tables 1, 2, 3, and 4, and Supplementary Table 1.

Figure 1
Figure 1 Receiver operating characteristic curve. A: Receiver operating characteristic curve (ROC) of platelets to neutrophil ratio (P/NR) for predicting 90-d outcome in acute ischemic stroke after intravenous recombinant tissue plasminogen activator (rtPA); B: ROC of P/NR for predicting delay neurological deterioration in acute ischemic stroke after intravenous rtPA; C: ROC of P/NR for predicting hemorrhagic transformation in acute ischemic stroke after intravenous rtPA; D: ROC of P/NR for predicting early neurological deterioration in acute ischemic stroke after intravenous rtPA.
Table 1 Clinical characteristics of the study population.
Characteristics
Number
Age in yr64.5 (53-72)
Sex
    Male249 (59.6)
    Female169 (40.4)
Risk factor
    Hypertension299 (71.5)
    Dyslipidemia276 (66)
    Diabetes mellitus141 (33.7)
    Atrial fibrillation/atrial flutter102 (24.4)
    Old stroke47 (11.2)
    Current smoking 73 (17.5)
    Current alcohol drinking42 (10)
Etiology
    Other determined or undetermined177 (42.3)
    Cardioembolic102 (24.4)
    Small-artery occlusion94 (22.5)
    Large-artery atherosclerosis42 (10)
Medication before stroke onset
    Antihypertensive therapy202 (48.3)
    Antiplatelet therapy81 (18.3)
    Hypoglycemic therapy121 (27.3)
    Time for stroke onset to intravenous rtPA infusion in min170.05 (124-218.25)
    Infarct volume in mL3.27 (0.58-24.24)
Hemorrhagic transformation
    No343 (82)
    Yes75 (82)
PH129 (82)
PH227 (6.1)
HI112 (2.7)
HI27 (1.6)
Table 2 Clinical characteristics of the study population (continued).
Characteristics
Number
Baseline blood glucose in mg%110 (96-141)
Laboratory tests
Hb13.3 (12.2-14.4)
WBC as 109/L8.4 (6.81-10.51)
Platelets as 109/L227 (192-278)
Neutrophil as 109/L5.14 (3.8-7.06)
Lymphocyte as 109/L1.93 (1.36-2.7)
P/NR43.73 (32.0-59.04)
PLR115.33 (87.17-170.64)
NLR2.56 (1.61-4.52)
PWR27.07 (21.4-33.99)
LDL114.5 (89-143)
NIHSS on admission10 (6-16)
NIHSS score on discharge date (day 1-7)5 (1-10)
Outcome events
Increase NIHSS from baseline or death within 7 d after IV rt-PA
Poor outcome (≥ 4 score)24 (5.7)
Good outcome (< 4 score)394 (94.3)
mRS on admission5 (3.75-5)
Poor outcome (3-6)348 (83.3)
Good outcome (0-2)70 (16.7)
mRS on discharge date (day 1-7)3 (1-4)
Poor outcome (3-6)236 (56.5)
Good outcome (0-2)182 (43.5)
mRS at 3 mo2 (0-4)
Poor outcome (3-6)168 (40.2)
Good outcome (0-2)250 (59.8)
Table 3 Clinical characteristics of patients according to presence/absence of early neurological deterioration and hemorrhagic transformation after intravenous recombinant tissue plasminogen activator treatment.
Variables
Total, n = 418
No E-ND, n = 394
E-ND, n = 24
P value
No HT, n = 342
HT, n = 75
P value
Age in yr64.5 (53-72)64 (52-71)70 (58.75-77.25)0.045165 (53-72)64 (52-74)0.9391
Sex
    Male249 (59.6)237 (60.2)12 (50)0.3252206 (60.2)42 (56.0)0.4992
    Female169 (40.4)157 (39.8)12 (50)136 (39.8)33 (44.0)
Risk factor
    Hypertension299 (71.5)279 (71.2)20 (83.3)0.1982245 (72.1)53 (70.7)0.8082
    Dyslipidemia276 (66.0)261 (66.9)15 (62.5)0.6552223 (65.8)52 (70.3)0.4582
    Diabetes mellitus141 (33.7)126 (32.1)15 (62.5)0.0022114 (33.4)26 (34.7)0.8382
    Atrial fibrillation/ atrial flutter102 (24.4)97 (24.6)5 (20.8)0.675281 (23.7)21 (28.0)0.4312
    Old stroke47 (11.2)44 (11.3)3 (12.5)0.852244 (13.0)3 (4.0)0.0272
    Current smoking73 (17.5)70 (82.4)3 (100)0.424262 (83.8)10 (76.9)0.5462
    Current alcohol drinking42 (10.0)42 (91.3)0 (0)0.003237 (90.2)5 (83.3)0.6082
Etiology
    Other determined or undetermined177 (42.3)161 (41.2)16 (66.7)0.0052143 (42.1)34 (45.3)< 0.0012
    Cardioembolic102 (24.4)100 (25.6)2 (8.3)73 (21.5)29 (38.7)
    Small-artery occlusion94 (22.5)93 (23.8)1 (4.2)91 (26.8)3 (4.0)
    Large-artery atherosclerosis42 (10)37 (9.5)5 (20.8)33 (9.7)9 (12.0)
Medication
    Antihypertensive therapy202 (45.6)75 (19.0)6 (25.0)0.4732165 (48.2)37 (49.3)0.8642
    Antiplatelet therapy81 (18.3)191 (48.5)11 (45.8)0.801263 (18.4)18 (24.0)0.2692
    Hypoglycemic therapy121 (27.3)111 (28.2)10 (41.7)0.16296 (28.2)25 (33.3)0.3712
    Infarct volume in mL

3.27 (0.58-24.24)2.76 (0.45-20.25)34.42 (5.57-303.93)< 0.00112.67 (0.43-16.88)13.99 (1.11-73.07)0.3891
    Time for stroke onset to intravenous rtPA infusion in min170.05 (124-218.25)170 (122-217)180.5 (147.5-232.25)0.1571172 (124.85-218.25)160 (124-219)0.5161
Table 4 Clinical characteristics of patients according to presence/absence of delayed neurological deterioration and 3-mo outcome after intravenous recombinant tissue plasminogen activator treatment.
Variables
Total, n = 418
No D-ND, n = 182
D-ND, n = 236
P value
Good 3-months, n = 250
Poor 3-months, n = 168
P value
Age in yr64.5 (53-72)60 (49-67.25)67 (58-76.75)< 0.001160 (50-68)69 (61-75)< 0.0011
Sex
    Male249 (59.6)120 (65.9)129 (54.7)0.022162 (64.8)87 (51.8)0.0082
    Female169 (40.4)62 (34.1)107 (45.3)88 (35.2)81 (48.2)
Risk factor
    Hypertension299 (71.5)114 (62.6)185 (79.1)< 0.0012163 (65.2)136 (81.9)< 0.0012
    Dyslipidemia276 (66.0)113 (62.8)163 (69.7)0.1412162 (65.3)114 (68.7)0.4782
    Diabetes Mellitus141 (33.7)55 (30.4)86 (36.4)0.195273 (29.3)68 (40.5)0.0182
    Atrial fibrillation/atrial flutter102 (24.4)40 (22.0)62 (26.3)0.311253 (21.2)49 (29.2)0.0632
    Old stroke47 (11.2)16 (8.8)31 (13.2)0.16224 (9.7)23 (13.7)0.212
    Current smoking73 (17.5)38 (86.4)35 (79.5)0.395252 (85.2)21 (77.8)0.392
    Current alcohol drinking42 (10.0)20 (95.2)22 (84.6)0.24230 (88.2)12 (92.3)0.6852
Etiology
    Other determined or undetermined177 (42.3)69 (38.3)108 (46.0)0.004293 (37.5)84 (50.3)0.0022
    Cardioembolic102 (24.4)51 (28.3)51 (21.7)70 (28.2)32 (19.2)
    Small-artery occlusion94 (22.5)50 (27.8)44 (18.7)66 (26.6)28 (16.8)
    Large-artery atherosclerosis42(10)10 (5.6)32 (13.6)19 (7.7)23 (13.8)
Medication
    Antihypertensive therapy202 (45.6)81 (44.5)121 (51.3)0.172111 (44.4)91 (54.2)0.052
    Antiplatelet therapy81 (18.3)31 (17.0)50 (21.2)0.287244 (17.6)37 (22.0)0.2622
    Hypoglycemic therapy121 (27.3)53 (29.1)68 (28.9)0.967271 (28.5)50 (29.8)0.7832
    Infarct volume in mL3.27 (0.58-24.24)1.16 (0.05-7.88)7.61 (1.53-63.41)0.3611.46 (0.13-7.93)16.62 (2.51-103.09)0.0131
    Time for stroke onset to intravenous rtPA infusion in min170.05 (124-218.25)182 (0-125)167.5 (120-219.5)0.5281173.5 (125-218)166.5 (120-220)0.3061
DISCUSSION

The investigation discerned a pertinent association between the P/NR and adverse 3-mo clinical outcomes, HT, and D-ND in patients experiencing AIS post-intravenous administration of rtPA. A diminished P/NR was discernibly correlated with unfavorable outcomes, positioning P/NR as a potential novel prognostic indicator for complications and prognoses in the stated patient demographic.

Despite P/NR being a relatively nascent parameter within stroke research, preliminary studies indicate its potential predictive capabilities for outcomes in AIS. A study conducted by Jin et al[16] posited P/NR as a singularly protective predictor for 90-d outcomes in AIS, also noting that lower P/NR was concomitant with short-term adverse outcomes. In a parallel vein, Wang et al[23] associated post-rtPA P/NR with E-ND, HT, D-ND, and suboptimal 3-mo outcomes, echoing the predictive utility of lower P/NR for worse outcomes. Matsuoka et al[24] suggested P/NR could indicate a hypercoagulable state, potentially inducing ischemic stroke related to gastric cancer. While P/NR is corroborated in several studies as being associated with thrombosis, its relationship with prognoses of patients receiving intravenous rtPA has not been comprehensively explored[25].

Insights from existing research elucidate that platelet-neutrophil interactions play a pivotal role in inflammation and thrombosis, particularly during AIS[26]. The intravascular thrombosis and ensuing inflammatory response precipitate a reduction in platelets and a surge in neutrophils, cumulatively resulting in diminished P/NR levels. Accordingly, a rational deduction can be drawn that low P/NR levels are independently associated with adverse AIS outcomes.

Moreover, considering the thrombolysis combination, symptomatic intracranial hemorrhage potentially exacerbates symptoms. A plethora of studies have demonstrated that a synergy of decreased platelets and elevated neutrophils can contribute to symptomatic intracranial hemorrhage[27-29]. Gensicke et al[30] provided insights into the mechanistic link between poor outcomes and neutrophils, elucidating that the latter disrupts the blood-brain barrier by liberating matrix metalloproteinase-9 and augmenting reactive oxygen and nitrogen species[29,30]. The conglomeration of these findings substantiates the hypothesis that P/NR may serve as a viable prognostic predictor for patient outcomes.

The present study not only benefits from an ample sample size, ensuring enhanced reliability and persuasive power of results, but also distinguishes itself as one of the few concentrating on the correlation between P/NR and prognosis in AIS patients treated with intravenous rtPA. Nonetheless, the implications of the findings should be interpreted considering several limitations, including the retrospective nature of the study and potential unconsidered confounders. Furthermore, the solitary hospital data source may induce selection bias, P/NR levels were measured only at a single time point (upon admission), and no dynamic monitoring was conducted. Also, numerous pre-existing conditions and infections that influence inflammation could potentially impact the P/NR ratio.

CONCLUSION

In recapitulation, the findings elucidate that P/NR demonstrates an independent association with unfavorable 3-mo outcomes (mRS ≥ 3), HT, and D-ND. A lower P/NR level could potentially serve as a predictor for adverse outcomes, thereby offering a novel parameter that neurologists might employ for prognosticating stroke outcomes in clinical settings. Prospective studies encompassing larger sample sizes and dynamic P/NR monitoring are requisite for further exploration.

ACKNOWLEDGEMENTS

The authors wish to thank Prof. Paskorn Sritipsukho from the Center of Excellence in Applied Epidemiology, Thammasat University, for his help with biostatistical analysis.

Footnotes

Provenance and peer review: Invited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Medicine, research and experimental

Country of origin: Thailand

Peer-review report’s classification

Scientific Quality: Grade C

Novelty: Grade B

Creativity or Innovation: Grade C

Scientific Significance: Grade C

P-Reviewer: Arboix A, Spain S-Editor: Liu H L-Editor: Filipodia P-Editor: Wang WB

References
1.  Bundhamcharoen K, Odton P, Phulkerd S, Tangcharoensathien V. Burden of disease in Thailand: changes in health gap between 1999 and 2004. BMC Public Health. 2011;11:53.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 61]  [Cited by in F6Publishing: 59]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
2.  GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2021;20:795-820.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3035]  [Cited by in F6Publishing: 2517]  [Article Influence: 839.0]  [Reference Citation Analysis (0)]
3.  Yamashita T, Abe K. Pathophysiology of Neuronal Cell Death After Stroke. Stroke Revisited: Pathophysiology of Stroke. 2020;.  [PubMed]  [DOI]  [Cited in This Article: ]
4.  Herpich F, Rincon F. Management of Acute Ischemic Stroke. Crit Care Med. 2020;48:1654-1663.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 99]  [Cited by in F6Publishing: 339]  [Article Influence: 113.0]  [Reference Citation Analysis (0)]
5.  Muengtaweepongsa S, Prapa-Anantachai P, Dharmasaroja PA. Not only the Sugar, Early infarct sign, hyperDense middle cerebral artery, Age, Neurologic deficit score but also atrial fibrillation is predictive for symptomatic intracranial hemorrhage after intravenous recombinant tissue plasminogen activator. J Neurosci Rural Pract. 2017;8:49-54.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 4]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
6.  White-Bateman SR, Schumacher HC, Sacco RL, Appelbaum PS. Consent for intravenous thrombolysis in acute stroke: review and future directions. Arch Neurol. 2007;64:785-792.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 32]  [Cited by in F6Publishing: 33]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
7.  Hacke W, Donnan G, Fieschi C, Kaste M, von Kummer R, Broderick JP, Brott T, Frankel M, Grotta JC, Haley EC Jr, Kwiatkowski T, Levine SR, Lewandowski C, Lu M, Lyden P, Marler JR, Patel S, Tilley BC, Albers G, Bluhmki E, Wilhelm M, Hamilton S; ATLANTIS Trials Investigators;  ECASS Trials Investigators;  NINDS rt-PA Study Group Investigators. Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials. Lancet. 2004;363:768-774.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1808]  [Cited by in F6Publishing: 1722]  [Article Influence: 86.1]  [Reference Citation Analysis (0)]
8.  Hong KS, Saver JL. Years of disability-adjusted life gained as a result of thrombolytic therapy for acute ischemic stroke. Stroke. 2010;41:471-477.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 53]  [Cited by in F6Publishing: 53]  [Article Influence: 3.8]  [Reference Citation Analysis (0)]
9.  Lokeskrawee T, Muengtaweepongsa S, Patumanond J, Tiamkao S, Thamangraksat T, Phankhian P, Pleumpanupatand P, Sribussara P, Kitjavijit T, Supap A, Rattanaphibool W, Prisiri J. Prognostic Parameters for Symptomatic Intracranial Hemorrhage after Intravenous Thrombolysis in Acute Ischemic Stroke in an Asian Population. Curr Neurovasc Res. 2017;14:169-176.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 4]  [Article Influence: 0.6]  [Reference Citation Analysis (0)]
10.  Strbian D, Engelter S, Michel P, Meretoja A, Sekoranja L, Ahlhelm FJ, Mustanoja S, Kuzmanovic I, Sairanen T, Forss N, Cordier M, Lyrer P, Kaste M, Tatlisumak T. Symptomatic intracranial hemorrhage after stroke thrombolysis: the SEDAN score. Ann Neurol. 2012;71:634-641.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 184]  [Cited by in F6Publishing: 212]  [Article Influence: 17.7]  [Reference Citation Analysis (0)]
11.  Lokeskrawee T, Muengtaweepongsa S, Patumanond J, Tiamkao S, Thamangraksat T, Phankhian P, Pleumpanupat P, Sribussara P, Kitjavijit T, Supap A, Rattanaphibool W, Prisiri J. Prediction of Symptomatic Intracranial Hemorrhage after Intravenous Thrombolysis in Acute Ischemic Stroke: The Symptomatic Intracranial Hemorrhage Score. J Stroke Cerebrovasc Dis. 2017;26:2622-2629.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 15]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
12.  Xu XR, Zhang D, Oswald BE, Carrim N, Wang X, Hou Y, Zhang Q, Lavalle C, McKeown T, Marshall AH, Ni H. Platelets are versatile cells: New discoveries in hemostasis, thrombosis, immune responses, tumor metastasis and beyond. Crit Rev Clin Lab Sci. 2016;53:409-430.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 137]  [Cited by in F6Publishing: 190]  [Article Influence: 23.8]  [Reference Citation Analysis (0)]
13.  Chen Y, Xiao Y, Lin Z, Xiao X, He C, Bihl JC, Zhao B, Ma X, Chen Y. The Role of Circulating Platelets Microparticles and Platelet Parameters in Acute Ischemic Stroke Patients. J Stroke Cerebrovasc Dis. 2015;24:2313-2320.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 73]  [Cited by in F6Publishing: 76]  [Article Influence: 8.4]  [Reference Citation Analysis (0)]
14.  Easton AS. Neutrophils and stroke - can neutrophils mitigate disease in the central nervous system? Int Immunopharmacol. 2013;17:1218-1225.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 45]  [Cited by in F6Publishing: 47]  [Article Influence: 4.3]  [Reference Citation Analysis (0)]
15.  Perez-de-Puig I, Miró-Mur F, Ferrer-Ferrer M, Gelpi E, Pedragosa J, Justicia C, Urra X, Chamorro A, Planas AM. Neutrophil recruitment to the brain in mouse and human ischemic stroke. Acta Neuropathol. 2015;129:239-257.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 220]  [Cited by in F6Publishing: 302]  [Article Influence: 33.6]  [Reference Citation Analysis (0)]
16.  Jin P, Li X, Chen J, Zhang Z, Hu W, Chen L, Feng X, Shao B. Platelet-to-neutrophil ratio is a prognostic marker for 90-days outcome in acute ischemic stroke. J Clin Neurosci. 2019;63:110-115.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 20]  [Cited by in F6Publishing: 22]  [Article Influence: 4.4]  [Reference Citation Analysis (0)]
17.  Gao B, Pan W, Hu X, Huang H, Ren J, Yang C, Zhou X, Zeng T, Hu J, Li S, Gao Y, Zhang S, Chen G. Neutrophil-Related Ratios Predict the 90-Day Outcome in Acute Ischemic Stroke Patients After Intravenous Thrombolysis. Front Physiol. 2021;12:670323.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 2]  [Article Influence: 0.7]  [Reference Citation Analysis (0)]
18.  Muengtaweepongsa S, Dharmasaroja P, Kummark U. Outcomes of intravenous thrombolytic therapy for acute ischemic stroke with an integrated acute stroke referral network: initial experience of a community-based hospital in a developing country. J Stroke Cerebrovasc Dis. 2012;21:42-46.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 17]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
19.  Brott T, Adams HP Jr, Olinger CP, Marler JR, Barsan WG, Biller J, Spilker J, Holleran R, Eberle R, Hertzberg V. Measurements of acute cerebral infarction: a clinical examination scale. Stroke. 1989;20:864-870.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3282]  [Cited by in F6Publishing: 3609]  [Article Influence: 103.1]  [Reference Citation Analysis (0)]
20.  Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O; ESC Scientific Document Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41:111-188.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4558]  [Cited by in F6Publishing: 4573]  [Article Influence: 1143.3]  [Reference Citation Analysis (0)]
21.  Sims JR, Gharai LR, Schaefer PW, Vangel M, Rosenthal ES, Lev MH, Schwamm LH. ABC/2 for rapid clinical estimate of infarct, perfusion, and mismatch volumes. Neurology. 2009;72:2104-2110.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 290]  [Cited by in F6Publishing: 324]  [Article Influence: 21.6]  [Reference Citation Analysis (0)]
22.  von Kummer R, Broderick JP, Campbell BC, Demchuk A, Goyal M, Hill MD, Treurniet KM, Majoie CB, Marquering HA, Mazya MV, San Román L, Saver JL, Strbian D, Whiteley W, Hacke W. The Heidelberg Bleeding Classification: Classification of Bleeding Events After Ischemic Stroke and Reperfusion Therapy. Stroke. 2015;46:2981-2986.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 444]  [Cited by in F6Publishing: 462]  [Article Influence: 51.3]  [Reference Citation Analysis (0)]
23.  Wang MQ, Sun YY, Wang Y, Yan XL, Jin H, Sun X, Zhang P, Zhu HJ, Guo ZN, Yang Y. Platelet-to-neutrophil Ratio after Intravenous Thrombolysis Predicts Unfavorable Outcomes in Acute Ischemic Stroke. Curr Neurovasc Res. 2020;17:411-419.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 3]  [Cited by in F6Publishing: 8]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
24.  Matsuoka T, Yashiro M. Biomarkers of gastric cancer: Current topics and future perspective. World J Gastroenterol. 2018;24:2818-2832.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 230]  [Cited by in F6Publishing: 283]  [Article Influence: 47.2]  [Reference Citation Analysis (5)]
25.  Ren B, Duan M, Liu Z, Xu D, Liu D, Zhang J, Wang J, Geng X, Yang S, Han D, Du J. Fibrinogen, Neutrophil-to-Lymphocyte Rate and Platelet-to-Neutrophil Rate as Novel Acute Phase Indicators in Patients with Thromboangiitis Obliterans. Ann Vasc Surg. 2020;65:137-144.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1]  [Cited by in F6Publishing: 1]  [Article Influence: 0.2]  [Reference Citation Analysis (0)]
26.  García-Culebras A, Durán-Laforet V, Peña-Martínez C, Ballesteros I, Pradillo JM, Díaz-Guzmán J, Lizasoain I, Moro MA. Myeloid cells as therapeutic targets in neuroinflammation after stroke: Specific roles of neutrophils and neutrophil-platelet interactions. J Cereb Blood Flow Metab. 2018;38:2150-2164.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 68]  [Cited by in F6Publishing: 83]  [Article Influence: 13.8]  [Reference Citation Analysis (0)]
27.  Mönch S, Boeckh-Behrens T, Kreiser K, Blüm P, Hedderich D, Maegerlein C, Berndt M, Lehm M, Wunderlich S, Zimmer C, Friedrich B. Thrombocytopenia and declines in platelet counts: predictors of mortality and outcome after mechanical thrombectomy. J Neurol. 2019;266:1588-1595.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 10]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
28.  Desai SM, Mehta A, Morrison AA, Gross BA, Jankowitz BT, Jovin TG, Jadhav AP. Endovascular Thrombectomy, Platelet Count, and Intracranial Hemorrhage. World Neurosurg. 2019;127:e1039-e1043.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 11]  [Article Influence: 2.2]  [Reference Citation Analysis (0)]
29.  Maestrini I, Strbian D, Gautier S, Haapaniemi E, Moulin S, Sairanen T, Dequatre-Ponchelle N, Sibolt G, Cordonnier C, Melkas S, Leys D, Tatlisumak T, Bordet R. Higher neutrophil counts before thrombolysis for cerebral ischemia predict worse outcomes. Neurology. 2015;85:1408-1416.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 125]  [Cited by in F6Publishing: 149]  [Article Influence: 16.6]  [Reference Citation Analysis (0)]
30.  Gensicke H, Al Sultan AS, Strbian D, Hametner C, Zinkstok SM, Moulin S, Bill O, Zini A, Padjen V, Kägi G, Pezzini A, Seiffge DJ, Traenka C, Räty S, Amiri H, Zonneveld TP, Lachenmeier R, Polymeris A, Roos YB, Gumbinger C, Jovanovic DR, Curtze S, Sibolt G, Vandelli L, Ringleb PA, Leys D, Cordonnier C, Michel P, Lyrer PA, Peters N, Tatlisumak T, Nederkoorn PJ, Engelter ST; Thrombolysis in Stroke Patients (TRISP) Collaborators. Intravenous thrombolysis and platelet count. Neurology. 2018;90:e690-e697.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 27]  [Cited by in F6Publishing: 32]  [Article Influence: 5.3]  [Reference Citation Analysis (0)]