Skip to main content

Advertisement

Log in

Systemic inflammatory response index as an independent risk factor for ischemic stroke in patients with rheumatoid arthritis: a retrospective study based on propensity score matching

  • Original Article
  • Published:
Clinical Rheumatology Aims and scope Submit manuscript

Abstract

Objective

To investigate the relationship between systemic inflammatory response index (SIRI) and ischemic stroke (IS) in rheumatoid arthritis (RA) patients.

Methods

Fifty-two RA patients with IS, who were admitted to Wujin Hospital Affiliated with Jiangsu University between 2015 and 2019, were selected as the study group, and 236 RA patients without IS were selected as the control group. Propensity score matching (PSM) function of SPSS 26.0 was used to carry out 1:1 propensity score matching for gender, age, blood pressure, blood glucose, blood lipid, and smoking history of patients in the two groups, and the caliper value was set as 0.02 to obtain covariate balanced samples between groups. When performing blood tests, the following are determined: rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), mean platelet volume (MPV), calculated SIRI = (neutrophil × monocyte)/lymphocyte, and completed 28-joint disease activity score (DAS28-CRP). The differences in inflammatory markers between the two groups were compared, the independent risk factors were analyzed by logistic regression, and the auxiliary diagnostic value was evaluated by the receiver operating characteristic (ROC) curve.

Results

A total of 48 pairs of patients were successfully matched. SIRI in the study group was higher than that in the control group (p < 0.05), and the mean platelet volume (MPV) was lower in the study group than in the control group (p < 0.05). SIRI, DAS28-CRP (r = 0.508, p < 0.01), ESR (r = 0.359, p < 0.05), and CRP (r = 0.473, p < 0.01) were positively correlated. Logistic regression analysis showed that SIRI was an independent IS risk factor in RA patients (odds ratio, 1.30; 95% confidence interval, approximately 1.008–1.678). The optimal threshold for SIRI-assisted diagnosis of patients with RA and IS was 1.62, the area under the ROC curve was 0.721 (p < 0.01), sensitivity was 54.17%, and specificity was 83.33%.

Conclusion

SIRI was independently associated with the occurrence of ischemic stroke in patients with RA. Thus, RA patients with elevated SIRI should be closely monitored.

Key points

RA patients with IS had fewer traditional risk factors such as hypertension and diabetes, while inflammatory indicators were significantly increased.

The SIRI have drawn attention in recent years as novel non-specific inflammatory markers. However, only a few studies have been conducted to investigate their value in RA.

This study completes the gaps in the research on the relationship between SIRI and the risk of IS occurrence in RA patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

IS:

Ischemic stroke

RA:

Rheumatoid arthritis

SIRI:

Systemic inflammatory response index

PSM:

Propensity score matching

ESR:

Erythrocyte sedimentation rate

CRP:

C-reactive protein

MPV:

Mean platelet volume

NPC:

Nasopharyngeal cancer

OR:

Odds ratio

CI:

Confidence interval

ROC:

Receiver operating characteristic

References

  1. Collaborators GBDCoD (2018) Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392(10159):1736–1788. https://doi.org/10.1016/S0140-6736(18)32203-7

    Article  Google Scholar 

  2. Mazzucco S, Diomedi M, Qureshi A, Sainati L, Padayachee ST (2017) Transcranial Doppler screening for stroke risk in children with sickle cell disease: a systematic review. Int J Stroke 12(6):580–588. https://doi.org/10.1177/1747493017706189

    Article  PubMed  Google Scholar 

  3. O’Donnell MJ, Chin SL, Rangarajan S, Xavier D, Liu L, Zhang H, Rao-Melacini P, Zhang X, Pais P, Agapay S, Lopez-Jaramillo P, Damasceno A, Langhorne P, McQueen MJ, Rosengren A, Dehghan M, Hankey GJ, Dans AL, Elsayed A, Avezum A, Mondo C, Diener HC, Ryglewicz D, Czlonkowska A, Pogosova N, Weimar C, Iqbal R, Diaz R, Yusoff K, Yusufali A, Oguz A, Wang X, Penaherrera E, Lanas F, Ogah OS, Ogunniyi A, Iversen HK, Malaga G, Rumboldt Z, Oveisgharan S, Al Hussain F, Magazi D, Nilanont Y, Ferguson J, Pare G, Yusuf S, Interstroke investigators (2016) Global and regional effects of potentially modifiable risk factors associated with acute stroke in 32 countries (INTERSTROKE): a case-control study. Lancet 388(10046):761–775. https://doi.org/10.1016/S0140-6736(16)30506-2

    Article  PubMed  Google Scholar 

  4. Hillen T, Coshall C, Tilling K, Rudd AG, McGovern R, Wolfe CD, R South London Stroke (2003) Cause of stroke recurrence is multifactorial: patterns, risk factors, and outcomes of stroke recurrence in the South London Stroke Register. Stroke 34(6):1457–1463. https://doi.org/10.1161/01.STR.0000072985.24967.7F

    Article  PubMed  Google Scholar 

  5. Burmester GR, Pope JE (2017) Novel treatment strategies in rheumatoid arthritis. Lancet 389(10086):2338–2348. https://doi.org/10.1016/S0140-6736(17)31491-5

    Article  PubMed  Google Scholar 

  6. Behrouz R (2014) The risk of ischemic stroke in major rheumatic disorders. J Neuroimmunol 277(1–2):1–5. https://doi.org/10.1016/j.jneuroim.2014.09.009

    Article  CAS  PubMed  Google Scholar 

  7. Dougados M, Soubrier M, Antunez A, Balint P, Balsa A, Buch MH, Casado G, Detert J, El-Zorkany B, Emery P, Hajjaj-Hassouni N, Harigai M, Luo SF, Kurucz R, Maciel G, Mola EM, Montecucco CM, McInnes I, Radner H, Smolen JS, Song YW, Vonkeman HE, Winthrop K, Kay J (2014) Prevalence of comorbidities in rheumatoid arthritis and evaluation of their monitoring: results of an international, cross-sectional study (COMORA). Ann Rheum Dis 73(1):62–68. https://doi.org/10.1136/annrheumdis-2013-204223

    Article  PubMed  Google Scholar 

  8. Meune C, Touze E, Trinquart L, Allanore Y (2010) High risk of clinical cardiovascular events in rheumatoid arthritis: Levels of associations of myocardial infarction and stroke through a systematic review and meta-analysis. Arch Cardiovasc Dis 103(4):253–261. https://doi.org/10.1016/j.acvd.2010.03.007

    Article  PubMed  Google Scholar 

  9. Nadareishvili Z, Michaud K, Hallenbeck JM, Wolfe F (2008) Cardiovascular, rheumatologic, and pharmacologic predictors of stroke in patients with rheumatoid arthritis: a nested, case-control study. Arthritis Rheum 59(8):1090–1096. https://doi.org/10.1002/art.23935

    Article  PubMed  PubMed Central  Google Scholar 

  10. Wiseman SJ, Ralston SH, Wardlaw JM (2016) Cerebrovascular disease in rheumatic diseases: a systematic review and meta-analysis. Stroke 47(4):943–950. https://doi.org/10.1161/STROKEAHA.115.012052

    Article  PubMed  Google Scholar 

  11. Wang Y, Zhang JH, Sheng J, Shao A (2019) Immunoreactive cells after cerebral ischemia. Front Immunol 10:2781. https://doi.org/10.3389/fimmu.2019.02781

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lin J, Chen L, Chen Q, Zhuang Z, Bao X, Qian J, Hong Y, Yan L, Lin L, Shi B, Qiu Y, Pan L, Wei L, Zheng X, Wang J, Liu F, He B, Chen F (2020) Prognostic value of preoperative systemic inflammation response index in patients with oral squamous cell carcinoma: Propensity score-based analysis. Head Neck. https://doi.org/10.1002/hed.26375

    Article  PubMed  PubMed Central  Google Scholar 

  13. Chen MQ, Wang HY, Shi WR, Sun YX (2021) Estimate of prevalent hyperuricemia by systemic inflammation response index: results from a rural Chinese population. Postgrad Med 133(2):242–249. https://doi.org/10.1080/00325481.2020.1809870

  14. Chao B, Ju X, Zhang L, Xu X, Zhao Y (2020) A novel prognostic marker systemic inflammation response index (SIRI) for Operable Cervical Cancer Patients. Front Oncol 10:766. https://doi.org/10.3389/fonc.2020.00766

    Article  PubMed  PubMed Central  Google Scholar 

  15. Li S, Lan X, Gao H, Li Z, Chen L, Wang W, Song S, Wang Y, Li C, Zhang H, Xue Y (2017) systemic inflammation response index (SIRI), cancer stem cells and survival of localised gastric adenocarcinoma after curative resection. J Cancer Res Clin Oncol 143(12):2455–2468. https://doi.org/10.1007/s00432-017-2506-3

    Article  CAS  PubMed  Google Scholar 

  16. Villeneuve E, Nam J, Emery P (2010) 2010 ACR-EULAR classification criteria for rheumatoid arthritis. Rev Bras Reumatol 50(5):481–483

    Article  PubMed  Google Scholar 

  17. Jauch EC, Saver JL, Adams HP Jr, Bruno A, Connors JJ, Demaerschalk BM, Khatri P, McMullan PW Jr, Qureshi AI, Rosenfield K, Scott PA, Summers DR, Wang DZ, Wintermark M, Yonas H, American Heart Association Stroke C, Council on Cardiovascular N, Council on Peripheral Vascular D, Council on Clinical C (2013) Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 44(3):870–947. https://doi.org/10.1161/STR.0b013e318284056a

    Article  PubMed  Google Scholar 

  18. Rutten-Jacobs LCA, Tozer DJ, Duering M, Malik R, Dichgans M, Markus HS, Traylor M (2018) Genetic Study of white matter integrity in UK Biobank (N=8448) and the overlap with stroke, depression, and dementia. Stroke 49(6):1340–1347. https://doi.org/10.1161/STROKEAHA.118.020811

    Article  PubMed  PubMed Central  Google Scholar 

  19. Mutlu U, Swanson SA, Klaver CCW, Hofman A, Koudstaal PJ, Ikram MA, Ikram MK (2018) The mediating role of the venules between smoking and ischemic stroke. Eur J Epidemiol 33(12):1219–1228. https://doi.org/10.1007/s10654-018-0436-2

    Article  PubMed  PubMed Central  Google Scholar 

  20. Banerjee C, Chimowitz MI (2017) Stroke caused by atherosclerosis of the major intracranial arteries. Circ Res 120(3):502–513. https://doi.org/10.1161/CIRCRESAHA.116.308441

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Libby P (2002) Inflammation in atherosclerosis. Nature 420(6917):868–874. https://doi.org/10.1038/nature01323

    Article  CAS  PubMed  Google Scholar 

  22. Yu X, Li Z, Ren M, Xi J, Wu J, Ji Y (2018) Superb microvascular imaging (SMI) for evaluating hand joint lesions in patients with rheumatoid arthritis in clinical remission. Rheumatol Int 38(10):1885–1890. https://doi.org/10.1007/s00296-018-4112-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Satis H, Tufan A (2019) Telescoping fingers in rheumatoid arthritis. N Engl J Med 381(24):e41. https://doi.org/10.1056/NEJMicm1905982

    Article  PubMed  Google Scholar 

  24. Carbone F, Bonaventura A, Liberale L, Paolino S, Torre F, Dallegri F, Montecucco F, Cutolo M (2020) Atherosclerosis in rheumatoid arthritis: promoters and opponents. Clin Rev Allergy Immunol 58(1):1–14. https://doi.org/10.1007/s12016-018-8714-z

    Article  CAS  PubMed  Google Scholar 

  25. Zinellu A, Paliogiannis P, Sotgiu E, Mellino S, Mangoni AA, Zinellu E, Negri S, Collu C, Pintus G, Serra A, Pistuddi AM, Carru C, Pirina P, Fois AG (2020) Blood cell count derived inflammation indexes in patients with idiopathic pulmonary fibrosis. Lung 198(5):821–827. https://doi.org/10.1007/s00408-020-00386-7

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Paliogiannis P, Ginesu GC, Tanda C, Feo CF, Fancellu A, Fois AG, Mangoni AA, Sotgia S, Carru C, Porcu A, Zinellu A (2018) Inflammatory cell indexes as preoperative predictors of hospital stay in open elective thoracic surgery. ANZ J Surg 88(6):616–620. https://doi.org/10.1111/ans.14557

    Article  PubMed  Google Scholar 

  27. Silva-Vaz P, Abrantes AM, Morgado-Nunes S, Castelo-Branco M, Gouveia A, Botelho MF, Tralhao JG (2020) Evaluation of prognostic factors of severity in acute biliary pancreatitis. Int J Mol Sci 21(12):4300. https://doi.org/10.3390/ijms21124300

    Article  CAS  PubMed Central  Google Scholar 

  28. Chen Y, Jiang W, Xi D, Chen J, Xu G, Yin W, Chen J, Gu W (2019) Development and validation of nomogram based on SIRI for predicting the clinical outcome in patients with nasopharyngeal carcinomas. J Invest Med 67(3):691–698. https://doi.org/10.1136/jim-2018-000801

    Article  Google Scholar 

  29. Chen Y, Jin M, Shao Y, Xu G (2019) Prognostic value of the systemic inflammation response index in patients with adenocarcinoma of the oesophagogastric junction: a propensity score-matched analysis. Dis Markers 2019:4659048. https://doi.org/10.1155/2019/4659048

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Perry VH, Teeling J (2013) Microglia and macrophages of the central nervous system: the contribution of microglia priming and systemic inflammation to chronic neurodegeneration. Seminars in immunopathology 35(5):601–612. https://doi.org/10.1007/s00281-013-0382-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Moreno B, Jukes JP, Vergara-Irigaray N, Errea O, Villoslada P, Perry VH, Newman TA (2011) Systemic inflammation induces axon injury during brain inflammation. Ann Neurol 70(6):932–942. https://doi.org/10.1002/ana.22550

    Article  CAS  PubMed  Google Scholar 

  32. Granot Z, Jablonska J (2015) Distinct functions of neutrophil in cancer and its regulation. Mediators Inflamm 2015:701067. https://doi.org/10.1155/2015/701067

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Hirose S, Lin Q, Ohtsuji M, Nishimura H, Verbeek JS (2019) Monocyte subsets involved in the development of systemic lupus erythematosus and rheumatoid arthritis. Int Immunol 31(11):687–696. https://doi.org/10.1093/intimm/dxz036

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Jin Z, Cai G, Zhang P, Li X, Yao S, Zhuang L, Ren M, Wang Q, Yu X (2020) The value of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as complementary diagnostic tools in the diagnosis of rheumatoid arthritis: a multicenter retrospective study. J Clin Lab Anal 35:e23569. https://doi.org/10.1002/jcla.23569

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Moore KJ, Sheedy FJ, Fisher EA (2013) Macrophages in atherosclerosis: a dynamic balance. Nat Rev Immunol 13(10):709–721. https://doi.org/10.1038/nri3520

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Ridker PM (2016) Residual inflammatory risk: addressing the obverse side of the atherosclerosis prevention coin. Eur Heart J 37(22):1720–1722. https://doi.org/10.1093/eurheartj/ehw024

    Article  PubMed  Google Scholar 

  37. Wu MY, Li CJ, Hou MF, Chu PY (2017) New insights into the role of inflammation in the pathogenesis of atherosclerosis. Int J Mol Sci 18(10):2034. https://doi.org/10.3390/ijms18102034

    Article  CAS  PubMed Central  Google Scholar 

Download references

Funding

This study was funded by the Young Talent Development Plan of Changzhou Health Commission (CZQM2020120) and Jiangsu Key Laboratory of Immunology and Metabolism (XZSYSKF2020018).

Author information

Authors and Affiliations

Authors

Contributions

Zihan Jin, Lin Zhuang, and Dongli Hao performed the experiments, analyzed the data, and wrote the manuscript. Yuanjian Song and Qiang Wang were involved in performing the experiments. Xiaolong Yu conceived the study and assumed overall responsibility for this work. All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication.

Corresponding author

Correspondence to Xiaolong Yu.

Ethics declarations

Ethical standards

The study has been conducted in compliance with the principles of the Declaration of Helsinki and with the local China laws and regulations.

Disclosures

None.

Additional information

Publisher's note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jin, Z., Hao, D., Song, Y. et al. Systemic inflammatory response index as an independent risk factor for ischemic stroke in patients with rheumatoid arthritis: a retrospective study based on propensity score matching. Clin Rheumatol 40, 3919–3927 (2021). https://doi.org/10.1007/s10067-021-05762-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10067-021-05762-z

Keywords

Navigation