Prognostic Value of Inflammatory Hematological Indices for In-Hospital Mortality After Stroke

<i>Background and Objectives</i>: This study aimed to assess the prognostic value of several inflammation-based hematological indices in patients with ischemic and hemorrhagic stroke and to evaluate whether their prognostic significance differs between stroke types. The analyzed indices included the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and aggregate index of systemic inflammation (AISI). <i>Materials and Methods</i>: This retrospective cohort study analyzed the medical records of stroke patients admitted to two hospitals in Shymkent, Kazakhstan. Hematological parameters were calculated from routine complete blood counts obtained on the third day of hospitalization. Nonparametric tests, univariable and multivariable logistic regression, and receiver operating characteristic (ROC) analysis were used to evaluate associations between inflammatory indices and in-hospital mortality. <i>Results</i>: A total of 199 patients who met the inclusion criteria were classified into three groups according to in-hospital outcome at discharge: (1) patients discharged alive (favorable outcome), (2) patients who died during hospitalization due to ischemic stroke (unfavorable ischemic stroke), and (3) patients who died during hospitalization due to hemorrhagic stroke (unfavorable hemorrhagic stroke). NLR, SIRI, AISI, and SII values were significantly higher in both unfavorable outcome groups compared with the favorable outcome group (<i>p</i> < 0.001, effect size r > 0.6). No statistically significant differences were observed between unfavorable ischemic and hemorrhagic stroke outcomes. In logistic regression analysis, NLR (OR = 1.65) and SIRI (OR = 2.36) showed the strongest associations with in-hospital mortality. ROC analysis demonstrated good predictive performance, with AUC values of 0.885 for NLR and 0.867 for SIRI. <i>Conclusions</i>: The inflammatory indices evaluated in this study were associated with stroke outcomes regardless of stroke subtype. Among them, SIRI and NLR showed the highest prognostic value. These indices may serve as accessible markers of disease severity but should not be considered independent clinical decision-making tools.

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Journal
Medicina
Published
2026-02-26
DOI
https://doi.org/10.3390/medicina62030441
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Prognostic Value of Inflammatory Hematological Indices for In-Hospital Mortality After Stroke

Gulnara Mustapayeva, Ainur Yessetova, Nazira A. Zharkinbekova, Aigul Turtayeva et al.
Medicina
Inflammatory Biomarkers in Disease Prognosis
article

Prognostic Value of Inflammatory Hematological Indices for In-Hospital Mortality After Stroke

Gulnara Mustapayeva, Ainur Yessetova, Nazira A. Zharkinbekova, Aigul Turtayeva, Murat Suleimenov, Dinara Tileuberdiyeva, Gaukhar Tolebayeva, Zaure Suleimenova, Gulnur Arykbayeva, Aziza Mukasheva, Altynay Yelubayeva, Sandugash Rustemova
article en

Abstract

<i>Background and Objectives</i>: This study aimed to assess the prognostic value of several inflammation-based hematological indices in patients with ischemic and hemorrhagic stroke and to evaluate whether their prognostic significance differs between stroke types. The analyzed indices included the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and aggregate index of systemic inflammation (AISI). <i>Materials and Methods</i>: This retrospective cohort study analyzed the medical records of stroke patients admitted to two hospitals in Shymkent, Kazakhstan. Hematological parameters were calculated from routine complete blood counts obtained on the third day of hospitalization. Nonparametric tests, univariable and multivariable logistic regression, and receiver operating characteristic (ROC) analysis were used to evaluate associations between inflammatory indices and in-hospital mortality. <i>Results</i>: A total of 199 patients who met the inclusion criteria were classified into three groups according to in-hospital outcome at discharge: (1) patients discharged alive (favorable outcome), (2) patients who died during hospitalization due to ischemic stroke (unfavorable ischemic stroke), and (3) patients who died during hospitalization due to hemorrhagic stroke (unfavorable hemorrhagic stroke). NLR, SIRI, AISI, and SII values were significantly higher in both unfavorable outcome groups compared with the favorable outcome group (<i>p</i> < 0.001, effect size r > 0.6). No statistically significant differences were observed between unfavorable ischemic and hemorrhagic stroke outcomes. In logistic regression analysis, NLR (OR = 1.65) and SIRI (OR = 2.36) showed the strongest associations with in-hospital mortality. ROC analysis demonstrated good predictive performance, with AUC values of 0.885 for NLR and 0.867 for SIRI. <i>Conclusions</i>: The inflammatory indices evaluated in this study were associated with stroke outcomes regardless of stroke subtype. Among them, SIRI and NLR showed the highest prognostic value. These indices may serve as accessible markers of disease severity but should not be considered independent clinical decision-making tools.

MedicinaVol. 62(3)
Ahmet Yesevi University (KZ), South Kazakhstan Medical Academy (KZ)
Good health and well-being
Openalex Percentile: Top 41%
Inflammatory Biomarkers in Disease Prognosis
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