Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Nov 5:12:760214.
doi: 10.3389/fimmu.2021.760214. eCollection 2021.

Platelet-to-Lymphocyte Ratio as an Independent Factor Was Associated With the Severity of Ankylosing Spondylitis

Tuo Liang  1 , Jiarui Chen  1 , Guoyong Xu  1 , Zide Zhang  1 , Jiang Xue  1 , Haopeng Zeng  1 , Jie Jiang  1 , Tianyou Chen  1 , Zhaojie Qin  1 , Hao Li  1 , Zhen Ye  1 , Yunfeng Nie  2 , Xinli Zhan  1 , Chong Liu  1
Affiliations

Platelet-to-Lymphocyte Ratio as an Independent Factor Was Associated With the Severity of Ankylosing Spondylitis

Tuo Liang et al. Front Immunol. .

Abstract

The study was aimed to determine the association of the platelet-lymphocyte ratio (PLR) with the disease activity of ankylosing spondylitis (AS). A total of 275 patients, including 180 AS patients and 95 non-AS patients, participated in the study. We assessed a full blood count for each participant. Platelet to monocyte ratio (PMR), monocytes to lymphocyte ratio (MLR), monocyte to neutrophil ratio (MNR), platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), and platelet to neutrophil ratio (PNR) were calculated. LASSO and logistic regression analyses were performed to establish the nomogram. Receiver operating characteristic (ROC) analysis was performed to evaluate the clinical value of the nomogram. We constructed a novel nomogram, which incorporated easily accessible clinical characteristics like sex, PLR, WBC, EOS, and ESR for AS diagnosis. The AUC value of this nomogram was 0.806; also, the calibration curves indicated a satisfactory agreement between nomogram prediction and actual probabilities. Furthermore, PLR was positively correlated with the severity of AS. PLR was identified as an independent factor for the diagnosis of AS and was associated with the severity of AS.

Keywords: AS; PLR; diagnosis; nomogram; severity.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Establishment of a nomogram for AS. (A) AUCs of the five factors. (B) AUCs of the other five factors. (C) Using 1000-fold cross-validation to the optimal penalty parameter lambda. (D) LASSO coefficient profiles of the 5 characteristics. (E) Nomogram for predicting AS probability.
Figure 2
Figure 2
Validation of the nomogram. (A) AUC of the nomogram based on the 5 characteristics. (B) Calibration curves for predicting AS probability.
Figure 3
Figure 3
ESR and CRP are not associated with the severity of AS. (A) ESR between AS patients with max hip BASRI socre < 2 and ≥ 2. (B) ESR in AS patients with different max sacroiliitis grade. (C) ESR between AS patients with different VAS pain score. (D) Relationship between CRP and the severity of AS.
Figure 4
Figure 4
PLR is associated with the severity of AS. (A) PLR between AS patients with max hip BASRI socre < 2 and ≥ 2. (B) PLR in AS patients with different max sacroiliitis grade. (C) PLR between AS patients with different VAS pain score. (D) The correlation of PLR with ESR. (E) PLR between AS patients with different CRP group. * representative p value < 0.05; ** representative p value < 0.01. ns representative p value > 0.05.
Figure 5
Figure 5
MLR is not associated with the severity of AS. (A) MLR between AS patients with max hip BASRI socre < 2 and ≥ 2. (B) MLR in AS patients with different max sacroiliitis grade. (C) MLR between AS patients with different VAS pain score. (D) The correlation of MLR with ESR. (E) MLR between AS patients with different CRP group. *** representative p value < 0.001; ns representative p value > 0.05.
Figure 6
Figure 6
Establishment of a nomogram for activated AS patient prediction. (A) The nomogram for activated AS patient prediction. (B) AUC of the nomogram based on the 3 characteristics. (C) Calibration curves for predicting activated AS patient prediction.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Kanwal A, Fazal S. Construction and Analysis of Protein-Protein Interaction Network Correlated With Ankylosing Spondylitis. Gene (2018) 638:41–51. doi: 10.1016/j.gene.2017.09.049 - DOI - PubMed
    1. Fiorillo MT, Haroon N, Ciccia F, Breban M. Editorial: Ankylosing Spondylitis and Related Immune-Mediated Disorders. Front Immunol (2019) 10:1232. doi: 10.3389/fimmu.2019.01232 - DOI - PMC - PubMed
    1. Kontakioti E, Domvri K, Papakosta D, Daniilidis M. HLA and Asthma Phenotypes/Endotypes: A Review. Hum Immunol (2014) 75(8):930–9. doi: 10.1016/j.humimm.2014.06.022 - DOI - PubMed
    1. El-Gabalawy HS, Robinson DB, Daha NA, Oen KG, Smolik I, Elias B, et al. . Non-HLA Genes Modulate the Risk of Rheumatoid Arthritis Associated With HLA-DRB1 in a Susceptible North American Native Population. Genes Immun (2011) 12(7):568–74. doi: 10.1038/gene.2011.30 - DOI - PubMed
    1. Linden SVD, Valkenburg HA, Cats A. Evaluation of Diagnostic Criteria for Ankylosing Spondylitis. A Proposal for Modification of the New York Criteria. Arthritis Rheumatol (1984) 27(4):361–8. doi: 10.1002/art.1780270401 - DOI - PubMed

Publication types

Substances