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image of Prognostic Value of PHR and FHR for Outcomes in Acute Ischemic Stroke Patients with Large Artery Occlusion Undergoing Endovascular Treatment

Abstract

Introduction

Acute ischemic stroke (AIS) is linked to dysregulated immune-inflammatory responses. The platelet-to-high-density lipoprotein cholesterol ratio (PHR) and fibrinogen-to-high-density lipoprotein cholesterol ratio (FHR) have emerged as potential systemic inflammation biomarkers. This study evaluated the association among PHR, FHR, and 6-month functional outcomes in patients with large-vessel occlusion-related AIS (AIS-LVO) treated with endovascular therapy (EVT).

Methods

This single-center retrospective study included AIS-LVO patients undergoing EVT at Beijing Chaoyang Hospital (Jan 2023-May 2024). Demographic, clinical, and preoperative laboratory data were collected, and 6-month outcomes were assessed using the modified Rankin Scale (mRS). Multivariate logistic regression and operating characteristic curves (ROC) analyses were used to evaluate the predictive value of PHR and FHR, with subgroup analyses performed across clinical strata.

Results

A total of 46.76% (123/263) of patients had unfavorable outcomes at the 6-month follow-up. Multivariate analysis revealed that higher preoperative PHR (adjusted odds ratio [aOR] = 1.015; 95% confidence interval [CI], 1.009-1.020; < 0.001) and FHR (aOR = 1.007; 95% CI, 1.004-1.010; < 0.001) were independent risk factors for poor functional outcomes at 6 months post-EVT.

Discussion

Findings align with prior links between inflammatory biomarkers and AIS prognosis, extending to EVT-treated AIS-LVO. The utility of PHR/FHR may reflect integration of the prothrombotic-anti-inflammatory pathway, with limitations, including a single-center design and a lack of dynamic inflammatory monitoring.

Conclusion

PHR (PHR AUC=0.727, 95% CI: 0.667-0.788) and FHR (AUC=0.716, 95% CI: 0.655-0.777) independently predict 6-month outcomes, with elevated levels linked to poor prognosis. These markers may reflect synergistic roles in post-stroke inflammation and thrombosis, offering potential for integration into individualized prognostic models to guide early intervention.

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2025-12-30
2026-01-26
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References

  1. Hilkens N.A. Casolla B. Leung T.W. de Leeuw F.E. Stroke. Lancet 2024 403 10446 2820 2836 10.1016/S0140‑6736(24)00642‑1 38759664
    [Google Scholar]
  2. Chen L. Wang X. Wang S. Liu W. Song Z. Liao H. The impact of gut microbiota on the occurrence, treatment, and prognosis of ischemic stroke. Neurobiol. Dis. 2025 207 106836 10.1016/j.nbd.2025.106836 39952411
    [Google Scholar]
  3. Li X. Kong X. Yang C. Global, regional, and national burden of ischemic stroke, 1990–2021: An analysis of data from the global burden of disease study 2021. EClinicalMedicine 2024 75 102758 10.1016/j.eclinm.2024.102758 39157811
    [Google Scholar]
  4. Saini V Guada L Yavagal DR Global epidemiology of stroke and access to acute ischemic stroke interventions. Neurology 2021 97(20_Supplement_2): S6 S16.(Suppl. 2) 10.1212/WNL.0000000000012781 34785599
    [Google Scholar]
  5. Malhotra K. Gornbein J. Saver J.L. Ischemic strokes due to large-vessel occlusions contribute disproportionately to stroke-related dependence and death: A review. Front. Neurol. 2017 8 651 10.3389/fneur.2017.00651 29250029
    [Google Scholar]
  6. Jiang S. Guo P. Cai L. Emergency admission plasma d‐dimer and prothrombin activity: Novel predictors for clinical outcomes after thrombectomy in acute ischemic stroke with large artery occlusion. CNS Neurosci. Ther. 2025 31 2 70267 10.1111/cns.70267 39945229
    [Google Scholar]
  7. Nam H.S. Kim Y.D. Choi J.K. Outcome in patients treated with intra-arterial thrombectomy: The OPTIMAL blood pressure control (OPTIMAL-BP) trial. Int. J. Stroke 2022 17 8 931 937 10.1177/17474930211041213 34427481
    [Google Scholar]
  8. Kim B.J. Kim J.S. Ischemic stroke subtype classification: An asian viewpoint. J. Stroke 2014 16 1 8 17 10.5853/jos.2014.16.1.8 24741560
    [Google Scholar]
  9. Lee S.J. Lee D.G. Lim D.S. Hong S. Impact of intracranial atherosclerotic stenosis on the prognosis in acute ischemic stroke patients with cardioembolic source. Eur. Neurol. 2015 73 5-6 271 277 10.1159/000381336 25895591
    [Google Scholar]
  10. Wu M.D. Atkinson T.M. Lindner J.R. Platelets and von Willebrand factor in atherogenesis. Blood 2017 129 11 1415 1419 10.1182/blood‑2016‑07‑692673 28174163
    [Google Scholar]
  11. Lordan R. Tsoupras A. Zabetakis I. Platelet activation and prothrombotic mediators at the nexus of inflammation and atherosclerosis: Potential role of antiplatelet agents. Blood Rev. 2021 45 100694 10.1016/j.blre.2020.100694 32340775
    [Google Scholar]
  12. Bandeali S. Farmer J. High-density lipoprotein and atherosclerosis: The role of antioxidant activity. Curr. Atheroscler. Rep. 2012 14 2 101 107 10.1007/s11883‑012‑0235‑2 22441969
    [Google Scholar]
  13. van der Stoep M. Korporaal S.J.A. Van Eck M. High-density lipoprotein as a modulator of platelet and coagulation responses. Cardiovasc. Res. 2014 103 3 362 371 10.1093/cvr/cvu137 24891399
    [Google Scholar]
  14. Libby P. The changing landscape of atherosclerosis. Nature 2021 592 7855 524 533 10.1038/s41586‑021‑03392‑8 33883728
    [Google Scholar]
  15. Libby P. Hansson G.K. From focal lipid storage to systemic inflammation. J. Am. Coll. Cardiol. 2019 74 12 1594 1607 10.1016/j.jacc.2019.07.061 31537270
    [Google Scholar]
  16. Zhou B-R. Pan Y. Zhai Z-M. Fibrinogen and P-selectin expression in atherosclerosis model of Sprague Dawley rat. Chin. Med. J. 2011 124 22 3768 3772 10.3760/cma.j.issn.0366‑6999.2011.22.030 22340239
    [Google Scholar]
  17. Zhu F. Wang Z. Song J. Ji Y. Correlation analysis of inflammatory markers with the short-term prognosis of acute ischaemic stroke. Sci. Rep. 2024 14 1 17772 10.1038/s41598‑024‑66279‑4 39090131
    [Google Scholar]
  18. Qian A. Zheng L. He H. Duan J. Tang S. Xing W. Predictive value of the systemic immune–inflammation index for outcomes in large artery occlusion treated with mechanical thrombectomy—a single-center study. Front. Neurol. 2025 15 1516577 10.3389/fneur.2024.1516577 39944837
    [Google Scholar]
  19. Yilu Z. Zhanglong W. Fanke H. The progression of non-culprit coronary lesion is related to higher SII, SIRI, and PIV in patients with ACS. Medicine 2024 103 52 41094 10.1097/MD.0000000000041094 39969298
    [Google Scholar]
  20. Tan Z. Parsons M. Bivard A. Optimal tissue reperfusion estimation by computed tomography perfusion post-thrombectomy in acute ischemic stroke. Stroke 2021 52 12 e760 e763 10.1161/STROKEAHA.121.034581 34670411
    [Google Scholar]
  21. Goyal M. Demchuk A.M. Menon B.K. Randomized assessment of rapid endovascular treatment of ischemic stroke. N. Engl. J. Med. 2015 372 11 1019 1030 10.1056/NEJMoa1414905 25671798
    [Google Scholar]
  22. Rabinstein A.A. Albers G.W. Brinjikji W. Koch S. Factors that may contribute to poor outcome despite good reperfusion after acute endovascular stroke therapy. Int. J. Stroke 2019 14 1 23 31 10.1177/1747493018799979 30188259
    [Google Scholar]
  23. Hundelshausen P. Lievens D. Platelets in atherosclerosis. Thromb. Haemost. 2011 106 11 827 838 10.1160/TH11‑08‑0592 22012554
    [Google Scholar]
  24. Cao Y. Zhou X. Liu H. Zhang Y. Yu X. Liu C. The NF-κB pathway: Regulation of the instability of atherosclerotic plaques activated by Fg, Fb, and FDPs. Mol. Cell. Biochem. 2013 383 1-2 29 37 10.1007/s11010‑013‑1751‑2 23839109
    [Google Scholar]
  25. Denorme F. Rustad J.L. Campbell R.A. Brothers in arms: Platelets and neutrophils in ischemic stroke. Curr. Opin. Hematol. 2021 28 5 301 307 10.1097/MOH.0000000000000665 34183536
    [Google Scholar]
  26. Kanazawa K. Miyamoto N. Hira K. Kijima C. Ueno Y. Hattori N. Baseline platelet count may predict short-term functional outcome of cerebral infarction. BMC Neurol. 2022 22 1 314 10.1186/s12883‑022‑02845‑5 36008789
    [Google Scholar]
  27. Fisher E.A. Feig J.E. Hewing B. Hazen S.L. Smith J.D. High-density lipoprotein function, dysfunction, and reverse cholesterol transport. Arterioscler. Thromb. Vasc. Biol. 2012 32 12 2813 2820 10.1161/ATVBAHA.112.300133 23152494
    [Google Scholar]
  28. Ragbir S. Farmer J.A. Dysfunctional high-density lipoprotein and atherosclerosis. Curr. Atheroscler. Rep. 2010 12 5 343 348 10.1007/s11883‑010‑0091‑x 20506005
    [Google Scholar]
  29. Jialal I. Jialal G. Adams-Huet B. The platelet to high density lipoprotein ‐cholesterol ratio is a valid biomarker of nascent metabolic syndrome. Diabetes Metab. Res. Rev. 2021 37 6 3403 10.1002/dmrr.3403 32886844
    [Google Scholar]
  30. Zhang H. Xu Y. Xu Y. The association of the platelet/high-density lipoprotein cholesterol ratio with self-reported stroke and cardiovascular mortality: A population-based observational study. Lipids Health Dis. 2024 23 1 121 10.1186/s12944‑024‑02115‑y 38659020
    [Google Scholar]
  31. Ma X. Ji X.M. Fu P. Ding Y.C. Xue Q. Huang Y. Coexistence of high fibrinogen and low high-density lipoprotein cholesterol levels predicts recurrent cerebral venous thrombosis. Chin. Med. J. 2015 128 13 1732 1737 10.4103/0366‑6999.159345 26112712
    [Google Scholar]
  32. Ten Cate H. Meade T. The Northwick Park Heart Study: Evidence from the laboratory, Journal of thrombosis and haemostasis. J. Thromb. Haemost. 2014 12 5 587 592 10.1111/jth.12545 24593861
    [Google Scholar]
  33. Kaptoge S. Di Angelantonio E. Pennells L. C-reactive protein, fibrinogen, and cardiovascular disease prediction. N. Engl. J. Med. 2012 367 14 1310 1320 10.1056/NEJMoa1107477 23034020
    [Google Scholar]
  34. Klovaite J. Nordestgaard B.G. Tybjærg-Hansen A. Benn M. Elevated fibrinogen levels are associated with risk of pulmonary embolism, but not with deep venous thrombosis. Am. J. Respir. Crit. Care Med. 2013 187 3 286 293 10.1164/rccm.201207‑1232OC 23220916
    [Google Scholar]
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