The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Systemic immune-inflammation index predicts the severity of coronary stenosis in patients with coronary heart disease.
Abstract
Background: Coronary atherosclerosis is a systemic chronic inflammatory disease with variable occurrence and progression. Some laboratory parameters, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and C-reactive protein (CRP) level, are used to evaluate the degree of inflammation and the severity of coronary artery disease (CAD). The neutrophil*platelet/lymphocyte is a novel systemic immune-inflammation index (SII), and its relationship with the development and severity of CAD is unclear. Objective: To investigate the association between the SII and the severity of CAD. Methods: Three-hundred and ninety-five patients who underwent coronary angiography were enrolled; among whom, 285 patients were included in the CAD group and 110 patients were included in the non-CAD group according to the WHO guidelines. Patients with CAD were further divided according to the Gensini score into the severe coronary stenosis group and the mild coronary stenosis group. The SII was calculated using the following formula: neutrophil*platelet/lymphocyte. Results: When the cutoff value of the SII was set at 439.44, the predictive power of CAD was the highest, with a sensitivity and specificity of 64.6 and 68.2%, respectively. When the cutoff value of the SII was set at 652.83, the predictive power of severe coronary stenosis was the highest, with a sensitivity and specificity of 71.0 and 86.0%, respectively. The area under the curve of the SII in predicting severe coronary stenosis was greater than that of the NLR, PLR and CRP level. Conclusion: The SII is an independent risk factor for the occurrence and severity of CAD.
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“in many inflammatory diseases, including cancers, coronary heart disease, and coronavirus disease 2019 (COVID-19), they are considered independent predictors (24, 35–37).”
From Investigation of systemic immune-inflammation index, neutrophil/high-density lipoprotein ratio, lymphocyte/high-density lipoprotein ratio, and monocyte/high-density lipoprotein ratio as indicators of inflammation in patients with schizophrenia and bipolar disorder (2022) · cites this paper as [36]
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“It can better reflect the body’s immune and inflammatory states than any aforementioned markers in isolation.”
From Investigation of systemic immune-inflammation index, neutrophil/high-density lipoprotein ratio, lymphocyte/high-density lipoprotein ratio, and monocyte/high-density lipoprotein ratio as indicators of inflammation in patients with schizophrenia and bipolar disorder (2022) · cites this paper as [36]
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“Previous studies have found that the SII has an important role in predicting the prognosis of patients with some physical diseases, such as tumors, cerebral infarction, cardiovascular disease, and acute pancreatitis (18, 20, 21, 36).”
From Investigation of systemic immune-inflammation index, neutrophil/high-density lipoprotein ratio, lymphocyte/high-density lipoprotein ratio, and monocyte/high-density lipoprotein ratio as indicators of inflammation in patients with schizophrenia and bipolar disorder (2022) · cites this paper as [36]
Citations
Cites
Global Burden of Cardiovascular Diseases
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. S. (2001) · Circulation · doi:10.1161/hc4601.099487 · Cited by 3,014
Atherosclerosis: current pathogenesis and therapeutic options
Weber, C., & Noels, H. (2011) · Nature Medicine · doi:10.1038/nm.2538 · Cited by 2,203
A more meaningful scoring system for determining the severity of coronary heart disease
Gensini, G. G. (1983) · The American Journal of Cardiology · doi:10.1016/s0002-9149(83)80105-2 · Cited by 2,198
Guidelines for percutaneous transluminal coronary angioplasty
Ryan, T. J. (1988) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(88)90431-7 · Cited by 1,032
Cardioimmunology: the immune system in cardiac homeostasis and disease
Świrski, F. K., & Nahrendorf, M. (2018) · Nature reviews. Immunology · doi:10.1038/s41577-018-0065-8 · Cited by 905
The multifaceted contributions of leukocyte subsets to atherosclerosis: lessons from mouse models
Weber, C., Zernecke, A., & Libby, P. (2008) · Nature reviews. Immunology · doi:10.1038/nri2415 · Cited by 793
Yang, Y., Wu, C., Hsu, P., Chen, S., Huang, S., Chan, W., Lin, S., Chou, C., Chen, J., Pan, J., et al. (2020) · European Journal of Clinical Investigation · doi:10.1111/eci.13230 · Cited by 725
Neutrophils as regulators of cardiovascular inflammation
Silvestre-Roig, C., Braster, Q., Ortega‐Gómez, A., & Soehnlein, O. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-019-0326-7 · Cited by 627
Ryan, T. J., Bauman, W. B., Kennedy, J. W., Kereiakes, D. J., King, S. B., McCallister, B. D., Smith, S. C., & Ullyot, D. J. (1993) · Circulation · doi:10.1161/01.cir.88.6.2987 · Cited by 397
SULLIVAN, D. R., Marwick, T. H., & Freedman, B. (1990) · American Heart Journal · doi:10.1016/s0002-8703(05)80173-5 · Cited by 276
Cited by
Sorted by citations
Items 101–178 of 178
Sun, S., Fu, J., Yang, J., Zhao, L., Zhao, B., & Zhou, Y. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1593481 · Cited by 3
Çakır, I., & Çakır, N. (2025) · BMC Endocrine Disorders · doi:10.1186/s12902-025-02094-w · Cited by 2
Manukhina, E. B., Mallet, M. K., Цейликман, В. Э., Kondashevskaya, М. V., Буданова, О. П., Downey, H. F., & Mallet, R. T. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm44081 · Cited by 4
Assayed, A., Aburumman, S., Abunemr, I. O., Salih, A. R. F., Gruhonjic, H., Minasyan, A., Fabián, D., Ledonio, C. T., & Prashad, R. (2026) · Cardiology in Review · doi:10.1097/crd.0000000000001216 · Cited by 2
Yang, S., Qi, S., Yu, M., Lei, S., Han, W., Wu, S., Zhou, Y., & Shi, D. (2026) · Journal of Inflammation Research · doi:10.2147/jir.s582913 · Cited by 2
Lesiak, M., Urbanowicz, T. K., Olasińska‐Wiśniewska, A., Michalak, M., Grygier, M., & Filipiak, K. J. (2023) · Advances in Interventional Cardiology · doi:10.5114/aic.2023.133809 · Cited by 2
Анатольевна, Г. А., Андреевна, К. Е., Tukish, O. V., & Repin, A. N. (2025) · Russian Open Medical Journal · doi:10.15275/rusomj.2025.0107 · Cited by 2
Özdemir, Ö., Polat, G., Üçsular, F. D., Unat, D. S., Ermin, S., & Şimşek, T. (2024) · Egyptian Journal of Bronchology · doi:10.1186/s43168-024-00280-3 · Cited by 1
Li, F., Liu, S., Baheti, R., Chen, T., Zhang, B., Wang, S., Peng, A., & Wan, J. (2024) · International Journal of STD & AIDS · doi:10.1177/09564624241283983 · Cited by 1
Karadeniz, M., Aydın, C., Demirkıran, A., & Alp, Ç. (2024) · Namık Kemal Tıp Dergisi · doi:10.4274/nkmj.galenos.2024.97268 · Cited by 1
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Sarı, H., Alsancak, Y., Gürbüz, A. S., Keskin, Ö., Tatar, S., & Düzenli, M. A. (2024) · International Journal of Clinical Practice · doi:10.1155/ijcp/7356380 · Cited by 1
Hou, H., Huang, S., Huang, W., Huang, L., Zhang, Z., & Liang, L. (2025) · International Journal of General Medicine · doi:10.2147/ijgm.s501396 · Cited by 1
Peng, Z., Wang, X., & Ni, J. (2025) · PLoS ONE · doi:10.1371/journal.pone.0323052 · Cited by 1
Bo, X., Zhou, T. J., Zhang, H., Chen, S., Ning, Y., Zhao, D., Cheng, S., Liu, J., & Fan, Q. (2025) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm36261 · Cited by 1
Adili, N., Zhao, Q., Aihemaiti, G., Chu, J.-K., Zhang, J.-K., Yang, Y., & Li, X. (2025) · Journal of Health Population and Nutrition · doi:10.1186/s41043-025-01160-2 · Cited by 1
Akyel, S., & Yıldız, A. (2025) · Medicine · doi:10.1097/md.0000000000046726 · Cited by 1
Yehong, L., Liu, Y., Ke, C., Longqun, L., Wu, G., & Gangjun, Z. (2025) · Current Medical Research and Opinion · doi:10.1080/03007995.2025.2605695 · Cited by 1
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Sarıkaya, S. (2023) · Comprehensive Medicine · doi:10.14744/cm.2023.25733 · Cited by 1
Qin, S., Cao, X., Zhang, R., & Liu, H. (2023) · PubMed Central · Cited by 1
Easmin, T., Khalequzzaman, M., Ahmed, M. M., & Hasan, M. M. (2023) · Bangladesh Heart Journal · doi:10.3329/bhj.v38i2.70263 · Cited by 1
Examination of coronary artery ectasia predictors in acute coronary syndrome
Aydemir, S., Aydın, S. Ş., Altınkaya, O., Özmen, M., Özkoç, M., & Aksakal, E. (2025) · Biomarkers in Medicine · doi:10.1080/17520363.2025.2523238 · Cited by 1
Ting, K.-H., Lu, Y., Hsin, C., Lee, C., Huang, J., Yang, S., & Hsieh, M. (2023) · International Journal of Medical Sciences · doi:10.7150/ijms.86601 · Cited by 1
Ergün, G., & Doğan, Y. (2023) · Journal of Medicine and Palliative Care · doi:10.47582/jompac.1349803
Zhang, W.-J., Liu, G.-Q., Shangguan, J.-H., Zhu, X.-D., Wang, W., Guo, Q.-Q., Zhang, J., Wang, K., Liu, Z.-Y., Song, F.-H., et al. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.720597
Relationship between gamma-glutamyl transferase/albumin ratio and coronary slow flow phenomenon
Küçük, U., & Arslan, K. (2022) · Journal of Clinical Medicine of Kazakhstan · doi:10.23950/jcmk/11940
Yıldız, C., & Yüksel, Y. (2022) · Journal of Clinical Medicine of Kazakhstan · doi:10.23950/jcmk/12332
Nyshchuk-Oliinyk, N. B. (2022) · Прикарпатський вісник наукового товариства імені Шевченка ПУЛЬС · doi:10.21802/2304-7437-2021-2022-16-17(61-62)-39-48
Liu, J., Zeng, M., Zhang, Y., & Mo, D.-G. (2022) · Angiology · doi:10.1177/00033197221125024
Alidoosti, M., & Yazdani, S. (2021) · International Journal of Enteric Pathogens · doi:10.34172/ijep.2021.24
Yang, Y.-P. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.1361370
努尔艾合麦提, ·. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.1361480
Çayırlı, S., Rahman, Ö. F., Mutlu, B., & Gülaştı, S. (2023) · SDÜ Tıp Fakültesi Dergisi · doi:10.17343/sdutfd.1292723
Анатольевна, Г. А., Андреевна, К. Е., Tukish, O. V., & Репин, А. Н. (2023) · Research Square · doi:10.21203/rs.3.rs-3397585/v1
Ergün, G., & Demirelli, S. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12206440
Başer, H. Y., Akgümüş, A., & Balun, A. (2024) · Pamukkale Medical Journal · doi:10.31362/patd.1423299
Тащук, В. К., & Bota, R. A. (2024) · Zaporozhye Medical Journal · doi:10.14739/2310-1210.2024.4.305572
Secondary Prevention of Coronary Heart Disease Based on Residual Inflammatory Risk Assessment
骆, 海. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.1482351
Liuizė, A., Mongirdienė, A., & Jolanta, L. (2024) · medRxiv · doi:10.1101/2024.11.02.24316626
顾, 杨. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.14113038
Lee, C., Yang, S., Huang, J., & Chang, C. (2024) · International Journal of Medical Sciences · doi:10.7150/ijms.101733
高, 院. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.152532
Índices de inflamación en enfermedad arterial coronaria crónica estable
Salazar, J., Inciarte, D., Briceño, S., Bracho, M., Esis, C., Silva, E., & Añez, R. (2025) · Cardiovascular and Metabolic Science · doi:10.35366/119628
New Inflammatory Indexes in Diabetic Neuropathy
Tuncer, T., & Karakeci, E. S. (2025) · Fiziksel Tıp ve Rehabilitasyon Bilimleri Dergisi · doi:10.31609/jpmrs.2024-105182
李, 义. (2025) · Journal of Clinical Personalized Medicine · doi:10.12677/jcpm.2025.43313
Малинина, Н. С., & Fedorov, S. V. (2025) · Art of Medicine · doi:10.21802/artm.2025.2.34.46
Salazar, J. J., Briceño--Álvarez, S., Bracho, M., Esis, C., Silva, E., & Áñez, R. (2025) · Revista de Investigación e Innovación en Ciencias de la Salud · doi:10.46634/riics.476
李, 诗. (2025) · Advances in Clinical Medicine · doi:10.12677/acm.2025.15113227
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671536
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671551
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671554
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671539
Wang, H., Nie, H., Bu, G., Tong, X., & Bai, X. (2024) · Figshare · doi:10.6084/m9.figshare.26651559
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671548
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671542
Guo, J., Xu, R., Liu, R., Lai, W., Hu, C., He, H., Zhang, G., Li, G., Zheng, W., & Zhang, R. (2024) · Figshare · doi:10.6084/m9.figshare.26671545
Hematological indices in patients with varying degrees of coronary artery atherosclerosis
Kazakova, M., Григоренко, Е. А., Yudina, O., & Mitkovskaya, N. P. (2026) · Emergency Cardiology and Cardiovascular Risks · doi:10.51922/2616-633x.2025.9.2.2599
Birulya, A. A., MELNIKOVA, G. B., Петрова, Е. Б., Tolstaya, T. N., Russkih, I., Григоренко, Е. А., Чижик, С. А., & Mitkovskaya, N. P. (2026) · Emergency Cardiology and Cardiovascular Risks · doi:10.51922/2616-633x.2025.9.2.2560
Wu, C.-Y., Zhan, Y.-Q., Shen, Y., Yu, T.-S., & Ding, Y. (2026) · BMC Cardiovascular Disorders · doi:10.1186/s12872-026-05544-y
Ye, J., Zong, K., Liu, Y., Wang, W., Sheng, Y., Liu, J., An, D., Xu, B., & Zong, G. (2026) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-025-10738-4
Self-citationLi, Y., Qin, Z., Si, T., Wu, S., Wang, H., Yu, H., Wang, K., Yang, L., Peng, A., Kong, M., et al. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1772810 · Cited by 2
Uzun, N., Mısırlıoglu, N. F., Dümür, Ş., Durmuş, S., Ekinci, A., & Uzun, H. (2026) · Nutrients · doi:10.3390/nu18060971
İmadoğlu, O., & Sural, S. (2026) · Cukurova Anestezi ve Cerrahi Bilimler Dergisi · doi:10.36516/jocass.1833178
Sun, J., Qi, S., Yu, M., Lei, S., Han, W., Zhou, Y., & Shi, D. (2026) · Lipids in Health and Disease · doi:10.1186/s12944-026-02951-0
Shojaie, M., Rostamipour, H. A., Ghanaatpisheh, A., Ramezanipour, S., & Heidari, N. (2026) · Clinical Case Reports · doi:10.1002/ccr3.72619
Xie, Y., Li, M., Luo, F., Pi, J., & He, Q. J. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2026.1843566
Nourmohammadi, Z., Olfatifar, M., Ahmadi, M. R., Motaghi, R., Jazi, K., Masoumi, M., Khodadadi, Z. H., Ehsani, M., Khodaee, A., & Shajari, R. (2026) · Clinical Rheumatology · doi:10.1007/s10067-026-08198-5
Xu, P., Lu, K., Liu, J., Zhao, X., Hu, R., Sun, Y., Yuan, J., Gu, Y., Qian, C., & Wang, X. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02359-y
Kong, J., Zhao, J., Sun, X., Yang, C., & Tang, L. (2026) · BMC Women s Health · doi:10.1186/s12905-026-04669-8
Wojtacha, J. J., Budzianowski, J., Wojciech, M., Wawrzyniak-Gramacka, E., Morawin, B., Hiczkiewicz, J., & Zembroń-Łacny, A. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1850689
Hussain, M. M., Atta, H., Saeed, A., & Mirza, A. (2026) · Developmental medico-life-sciences · doi:10.69750/dmls.03.06.0215
Çapkan, D. Ü., & Kaplan, M. (2026) · Diagnostics · doi:10.3390/diagnostics16152417
Morikawa, S., Takahashi, N., Ohinata, R., Mishina, T., Hayakawa, H., Kumihashi, Y., Inoue, N., Takayama, Y., & Murohara, T. (2026) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2026.1732152
Surya, S., Ginanjar, E., Nasution, S. A., Widhani, A., Azizi, M. S., Yulianti, M., & Shatri, H. (2026) · Cureus · doi:10.7759/cureus.115738
Hepcidin as a Biomarker of Response to Antifibrotic Therapy in Idiopathic Pulmonary Fibrosis
Yilmaz, G., Çoban, H., Erel, F., Akış, M., Sarıoğlu, N., Colak, M., & Şenel, M. Y. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15187023
Zhai, H., Qiu, M., Na, K., Li, Y., Yan, C., Li, Y., & Han, Y. (2026) · Thrombosis and Haemostasis · doi:10.1055/a-2954-8993
Zhao, Y., Wang, P., Zhao, S., Ma, Q., Zheng, Z., Shi, Y., & Liu, J. (2026) · Reviews in Cardiovascular Medicine · doi:10.31083/rcm52837
Yang, S., Liu, J., 王, 玉., Zhao, F., Han, W., Zhou, Y., & Shi, D. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15208092
Metadata
- Authors
- Liu, Y., Ye, T., Chen, L., Jin, T., Sheng, Y., Wu, G., & Zong, G.
- Affiliations
- Wuxi Clinical College of Anhui Medical University, Wuxi 214044, China
- Corresponding author
- Liu, Yehong
- Ye, Ting
- Venue
- Coronary Artery Disease
- Published
- 2021-03-16
- Volume
- 32
- Issue
- 8
- Pages
- 715-720
- ISSN
- 0954-6928 (ISSN-L)
- OpenAlex
- W3143380783
- Cited by
- 179
- References
- 17
- Citations by year
- 2026: 26 · 2025: 46 · 2024: 52 · 2023: 35 · 2022: 18 · 2021: 2
- FWCI
- 9.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Coronary Artery Disease (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- systemic immune-inflammation index, coronary stenosis severity, coronary artery disease, systemic inflammation, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, C-reactive protein, Gensini score, risk prediction
- MeSH terms
- Aged, Coronary Disease, Female, Humans, Inflammation, Male, Middle Aged, Risk Factors, Severity of Illness Index, Coronary Stenosis
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