Sage Journals: Discover world-class research

Abstract

The C-reactive protein to prealbumin ratio (CPR) and fibrinogen to prealbumin ratio (FPR) in serum are two emerging biomarkers. The purpose of this study is to explore the relationship between these two markers and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Disease Activity Scores (ASDAS). A total of 163 patients with AS and 120 healthy examinees were included in this study. The t-test and Mann-Whitney U ranking test were used to analyze the differences between groups. The spearman-test was used to analyze the correlation between erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), fibrinogen (Fib), prealbumin (PAlb), CPR, FPR, and AS disease activity in the test group. We generated the receiver operating characteristic curves (ROC) of CPR and FPR and determined the discriminating ability by calculating the area under the curve (AUC). Compared with the healthy group, ESR (p < 0.001), CRP (p < 0.001), Fib (p < 0.001), CPR (p < 0.001), and FPR (p < 0.001) of AS patients were significantly increased, while PAlb was significantly reduced. CPR and FPR were more correlated to ASDAS-CRP. CPR was positively correlated with CRP, ESR, BASDAI, and ASDAS-CRP in AS patients (r = 0.959, p < 0.001, r = 0.717, p < 0.001, r = 0.704, p < 0.001, r = 0.763, p < 0.001). FPR was positively correlated with CRP, ESR BASDAI, and ASDAS-CRP in AS patients (r = 0.779, p < 0.001, r = 0709, p < 0.001, r = 0.551, p < 0.001, r = 0.763, p < 0.001). ROC showed that the AUC levels of CPR and FPR were high (AUC = 0.952 and AUC = 0.893). CPR and FPR are two promising new biological indicators for assessing disease activity in AS patients.

Keywords

ankylosing spondylitis C-reactive protein to prealbumin ratio disease activity fibrinogen to prealbumin ratio

Introduction

AS is a common chronic systemic inflammatory autoimmune disease that occurs mainly in young men. The main symptom of AS is inflammation of the sacroiliac joint and spine attachment point. This condition involves the sacroiliac joints, causing spinal rigidity and fibrosis, causing different degrees of eye, lung, muscle, and bone lesions, so the social and economic burden caused by it cannot be ignored.^1,2 It is well known that it is difficult to assess the clinical disease status of AS. Currently, there is no gold standard for disease activity in AS. The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is one of the most commonly used and widely validated tools. In recent years, the ankylosing spondylitis disease activity score (ASDAS) has been proposed by ASAS (Assessment Ankylosing Spondylitis Working Group) as a new indicator. Its scores include the evaluation of low back pain, morning stiffness duration, patients with generalized pain, swelling, and CRP or ESR.³ ASDAS has proved to be effective in the evaluation of ankylosing spondylitis disease activity and has a high degree of specificity.⁴ Analysis shows that ASDAS has better discrimination ability in the subgroup of high inflammation markers. ASDAS and BASDAI showed the same good performance in a cross-sectional study in a local Chinese cohort. ASDAS performed better even in the subgroup with elevated inflammation markers.⁵

Many recent studies have shown that various blood parameters are related to systemic disease activity, including fibrinogen to albumin ratio (FAR), neutrophil to lymphocyte ratio (NLR),⁶ platelet to lymphocyte ratio (PLR)⁷ and monocyte to lymphocyte ratio (MLR),⁸ and other indicators. Chronic inflammation throughout the body may lead to abnormal levels of prealbumin, fibrinogen, and peripheral blood immune cell counts.⁹ Systemic inflammatory response leads to nutritional damage. Previous studies have shown that albumin can be used as both a marker of inflammation and a parameter for nutritional status assessment.¹⁰ Fibrinogen plays an important role in coagulation and regulating inflammation. Some studies report that fibrinogen levels can independently predict the prognosis of certain cancers.^11,12 Based on new inflammatory markers, CPR and FPR have a significant relationship with inflammatory diseases and cancer prognosis.^13,14 However, it is unclear whether CPR and FPR are related to disease activity in AS.

Therefore, in this study, we retrospectively studied the correlation between CPR and FPR and AS disease activity and their diagnostic value. Our results indicate that CPR and FPR are positively correlated with CRP, ESR, and ASDAS, indicating that CPR and FPR may be potential indicators for monitoring disease activity in AS patients.

Materials and methods

Research object

This study is a retrospective analysis of patients with AS diagnosed and admitted to the First Affiliated Hospital of Zhengzhou University from January 2018 to December 2019. Inclusion criteria for the AS group: all patients met the diagnostic criteria of the Assessment of SpondyloArthritis International Society (ASAS) 2014.² Exclusion criteria: patients suffering from other systemic diseases (such as cardiovascular diseases, blood diseases, endocrine diseases, respiratory diseases, kidney diseases, infections, malignant tumors) and chronic autoimmune diseases using corticosteroids in the past 3 months. A total of 163 patients were selected into the control group. We randomly selected 120 healthy examinees who were examined in the First Affiliated Hospital of Zhengzhou University at the same period as the control group. This study was approved by the Ethics Committee of the First Affiliated Hospital of Zhengzhou University (No. 2019-KY-285) and is in accordance with the Declaration of Helsinki. Written informed consents were obtained from participants. The results of the study do not affect on the further management of these patients.

Research methods

We obtained the clinical characteristics of AS patients and healthy examinees from the hospital medical record system, including age, gender, CRP, ESR, PAlb, Fib, etc., and calculated BASDAI and ASDAS.¹⁵ We conducted a comparative analysis of the clinical characteristics and differences in ASDAS between the blank group and the control group. The correlation between CRP, ESR, PAlb, Fib, CPR, FPR, BASDAI, and ASDAS in the control group was analyzed, and finally, the diagnostic value of CPR and FPR to assess AS disease activity was analyzed.

Statistical methods

SPSS 22 statistical software (SPSS, Inc., Chicago, Illinois, USA) was used to evaluate the normality of the data distribution using the Kolmogorov-Smirnov test. The data that conforms to the normal distribution are represented by mean ± SD, and the data that do not conform to the normal distribution are represented by median (interquartile range). The categorical variables were expressed as percentages. Comparisons of the differences of continuous variables were performed by the Student’s t-test or Mann–Whitney U test. Categorical variables were compared with the χ²-test. Spearman’s correlation analysis was used to examine the association between variables. Graphpad Grism 8 (Graphpad, Inc., San Diego, California, USA) was used for linear regression analysis to compare the goodness of fit of CRP, ESR, PAlb, Fib, CPR, FPR, BASDAI, and ASDAS, and to determine the correlation. The ROC was generated by MedCalc 19.0 (Maryak, Belgium) and analyzed to determine the AUC, cutoff value, sensitivity, specificity, positive predictive value, and negative predictive value of these biological indicators. A value of p < 0.05 is considered a statistically significant difference.

Result

Clinical characteristics of the enrolled participants

Table 1 summarizes the clinical characteristics of 163 AS patients and 120 healthy controls. There was no significant difference in age (p = 0.683) or gender (p = 0.425) between AS patients and healthy controls. Compared with the healthy group, Fib, CRP, and ESR counts of AS patients increased significantly (p < 0.001), while PAlb counts of AS patients decreased significantly (p < 0.001). In AS patients, CPR and FPR increased significantly (p < 0.001, all patients).

Table 1.

The demographic data and clinical characteristics of the ankylosing spondylitis (AS) patients and healthy subjects.

Characteristics	AS group N = 162	Control group N = 120	p-Value
Age (years)	33.45 ± 12.71	34.06 ± 11.75	0.683
Gender (F/M)	131/31	100/20	0.425
ESR (mg/L)	28.00 (10.00–50.00)	6.55 (4.85–9.00)	<0.001
CRP (mg/L)	24.50 (6.70–47.00)	0.87 (0.39–1.74)	<0.001
Prealbumin (mg/L)	201.16 ± 62.11	260.60 ± 48.87	<0.001
Fibrinogen (g/L)	4.59 ± 3.33	2.815 ± 0.56	<0.001
CPR (%)	0.13 (0.34–0.26)	0.02 (0.01–0.04)	<0.001
FPR (%)	0.0244 ± 0.0126	0.0112 ± 0.0029	<0.001

F: female; M: male; CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; CPR: C-reactive protein to prealbumin ratio; FPR: fibrinogen to prealbumin ratio.

p < 0.05 was considered statistically significant.

Correlation of CRP, ESR, Fib, PAlb, CPR, and FPR with clinical disease activity in patients with AS

In patients with AS, ESR, CRP, Fib, CPR, and FPR are positively correlated with ASDAS-CRP and ASDAS-ESR, while PAlb is negatively correlated with ASDAS-CRP and ASDAS-ESR. The goodness of fit of CRP, ESR, Fib, PAlb, CPR, and FPR to ASDAS-CRP are r = 0.763, r = 0.689, r = 0.549, r = −0.561, r = 0.863, and r = 0.701 (Figure 1). The goodness of fit of CRP, ESR, Fib, PAlb, CPR, and FPR to ASDAS-ESR are r = 0.658, r = 0.685, r = 0.626, r = −0.571, r = 0.671, and r = 0.701 (Figure 2). The goodness of fit of CRP, ESR, Fib, PAlb, CPR, and FPR to BASDAI are r = 0.763, r = 0.689, r = 0.549, r = −0.561, r = 0.863, and r = 0.701 (Figure 3). Analysis of the correlation between CPR and FPR and AS disease activity showed that CPR was positively correlated with BASDAI (r = 0.704, p < 0.001), ASDAS-CRP (r = 0.863, p < 0.001), and ASDAS-ESR (r = 0.671, p < 0.001). Similarly, FPR was positively correlated with BASDAI (r = 0.551, p < 0.001), ASDAS-CRP (r = 0.763, p < 0.001), and ASDAS-ESR (r = 0.625, p < 0.001) (Figure 4).

Figure 1.

The correlations between CRP (a), ESR (b), Fib (c), PAlb (d), FPR (e), CPR (f) with ASDAS-CRP in ankylosing spondylitis.

Figure 2.

The correlations between CRP (a), ESR (b), Fib (c), PAlb (d), FPR (e), CPR (f) with ASDAS-ESR in ankylosing spondylitis.

Figure 3.

The correlations between CRP (a), ESR (b), Fib (c), PAlb (d), FPR (e), CPR (f) with BASDAI in ankylosing spondylitis.

Figure 4.

The correlations between CPR with BASDAI (a), ASDAS-CRP (b), and ASDASESR (c), and the correlations between FPR with BASDAI (d), ASDAS-CRP (e), and ASDASESR (f).

Diagnostic values of CPR and FPR

We generated ROC to evaluate the diagnostic value of CPR and FPR under differentiated health controls. The AUC of CPR is 0.9521, the best cut-off value of CPR is 0.14 (sensitivity = 80.77%, specificity = 88.93%, positive predictive value = 90.38%, negative predictive value = 77.17%. In addition, the AUC of FPR is 0.8927, and the best cut-off value is 0.015 (sensitivity = 77.89%, specificity = 95.31%, positive predictive value = 95.02%, negative predictive value = 76.04%. (Table 2, Figure 5).

Table 2.

The diagnostic value of inflammatory biomarkers for ankylosing spondylitis severity.

Biomarker	Cut-off value	AUC	Sen (%)	Spe (%)	PPV (%)	NPV (%)
CPR	0.142	0.9521	80.77	88.32	90.38	77.17
FPR	0.015	0.8927	77.89	95.31	95.02	76.04

AUC: area under curve; Sen: sensitivity; Spe: specificity; PPV: positive predictive value; NPV: negative predictive value; CPR: C-reactive protein to prealbumin ratio; FPR: fibrinogen to prealbumin ratio.

Figure 5.

Diagnostic efficacy of inflammatory-based biomarkers in ankylosing spondylitis compared with healthy controls.

Discussion

The disease activity status of AS is an important indicator to evaluate the severity of AS, which directly affects the formulation of its clinical drug treatment plan. Currently, CRP, ESR, and ASDAS are the most common non-specific indicators used to assess AS disease activity;^16,17 however, the above indicators are susceptible to other physiological factors such as age, gender, infection, malignant tumor or smoking status, and other factors cannot accurately reflect the true disease activity status of AS, and its effectiveness in reflecting disease activity status is often questioned.¹⁸ Therefore, it is necessary to explore new and more effective biological indicators to assess the disease activity of AS. This study evaluated the correlation of CRP, ESR, PAlb, Fib, CPR, and FPR with disease activity in AS patients (BASDAI, ASDAS-CRP, and ASDAS-ESR). The results showed that CRP, ESR, PAlb, Fib, CPR, and FPR were significantly different between AS patients and healthy individuals. The goodness of fit of CPR and FPR with BASDAI, ASDAS-CRP, and ASDAS-ESR is significantly better than CRP, ESR, PAlb, Fib; that is, the correlation between CPR and FPR and AS patients’ disease activity is stronger than traditional biological indicators (Figures 1 –3). In the comparison, we found that the goodness of fit between CPR and FPR and ASDAS-CRP is better than that of BASDAI and ASDAS-ESR (Figure 4). Therefore, CPR and FPR may be effective indicators for predicting disease activity in patients with AS.

AS is a chronic autoinflammatory disease. The long-term existence of disease-related inflammation may have a huge negative impact on the patient’s nutritional status. During AS, the patient’s autoimmune status and nutritional status have a considerable impact on the severity and prognosis of AS.¹⁹ CRP is a plasma protein of the pentosan family and is known for its rapid rise in serum during inflammation as part of the acute phase of inflammation.¹⁷ CRP is mainly produced by the liver, and it is an acute phase protein that reflects systemic inflammation. Its rapid increase in serum is related to the levels of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) and other anti-inflammatory cytokines.²⁰ During inflammation, the body reacts by producing large amounts of TNF-α, IL-6, and other cytokines, resulting in a low serum albumin concentration.²¹ Albumin is produced by the liver and can effectively reflect the nutritional status of the human body. However, because serum albumin is not sensitive to immediate nutritional changes, it has a long half-life. Additionally, many potential factors may cause hypoproteinemia. These factors include acute infection, burns, inflammatory diseases, malignant tumors, malnutrition, kidney disease, severe liver dysfunction, and trauma. In contrast, the half-life of PAlb (2–3 days) is much shorter than that of Alb (21 days), which makes PAlb as an indicator of nutritional status more accurate and timely.¹³ PAlb is closely related to the nutritional status of the body and is a good indicator of the nutritional and immune status of the body. When the body is in a state of malnutrition, its immune function is significantly reduced, thereby weakening the body’s anti-inflammatory ability. The stimulation of inflammation affects the synthesis of Alb and PAlb in the internal organs.²² Based on the above theory, a series of studies have shown that CRP and PAlb are related to the activities of various immune-related diseases. At the same time, PAlb is also an inflammation marker, which is a reverse proportional CRP.²³ The predictive value of CPR for gastric cancer and other prognoses is better than other traditional inflammation indexes.²⁴ Few studies have studied the relationship between CPR and autoimmune diseases. However, there is no more direct evidence to show the relationship between AS and malnutrition. Our results show that AS patients have a higher CP value, and the PAlb level in these patients is significantly lower than the reference value. ROC shows that CPR has a high AUC, which indicates that CPR may have great diagnostic value.

Both Fib and PAlb are produced by the liver, but studies have shown that these two have opposite expressions in the inflammatory state, so Fib is not only an important factor in the coagulation cascade but also a major acute-phase reactive protein in chronic inflammation.²⁵ When the body is in systemic inflammation, the immune system interacts with all parts of the coagulation system and triggers the production of Fib through the liver and itself, resulting in high levels of Fib expression. Because Fib and serum PAlb are negatively correlated during the systemic inflammatory response, the integration of these two inflammatory indicators (FPR) can be used as a reliable indicator of systemic inflammatory status. Fib and PAlb are two key factors of the coagulation system, nutritional status and inflammation, and the current research in the field of cancer and cardiovascular disease has become a hot spot.⁷ There are few reports on the activity of rheumatoid diseases. Many reports indicate that the plasma level of Fib can be used as a new biomarker to independently predict the prognosis of malignant tumors such as colon cancer and liver cancer.^24,26,27 Previous studies have shown that Fib can increase the expression of cytokines, such as interleukin-8 (IL-8) and intercellular adhesion fraction-1 (ICAM-1), and directly promote the development of systemic immune responses.^28,29 These findings indicate that fibrinogen has great potential value in the assessment of AS disease activity. In this study, we combined the ratio of fibrinogen and prealbumin as a new indicator of inflammation. The disease activity of AS and FPR were significantly positively correlated, and ROC showed a high AUC. These findings further support the potential value of FPR as a biomarker for monitoring AS disease activity. It is reported that the common inflammatory cytokine IL-6 can inhibit the synthesis of Alb and PAlb, leading to hypoproteinemia in patients.³⁰ Therefore, poor nutritional status and impaired patient immune monitoring directly affect the clinical outcome of the disease. These factors may be the reasons for the findings in this study.

However, our research also has some limitations. First of all, this was a retrospective study, conducted in a single-center, the sample size was relatively limited, and it cannot represent the overall situation of AS patients more effectively. Second, we did not study the correlation between CPR and FPR and TNF-α and other inflammatory factors, nor did we assess the impact of systemic drug therapy on CPR and FPR. Thirdly, we did not make statistics and analysis of the illness duration of all patients. Therefore, the correlation and diagnostic value of CPR and FPR with AS still need to be verified in multicenter and prospective cohort studies.

Conclusion

In summary, CPR and FPR are two promising biological indicators for judging the intensity of AS disease activity. Doctors can quickly judge the intensity of disease activity through these two laboratory indicators, to help doctors formulate the diagnosis and treatment plans suitable for patients. However, in the future, this field needs more in-depth research to reveal the relationship between these two indicators and the intensity of AS disease activity.

Footnotes

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Key scientific research projects in Henan Province (17A310009).

ORCID iD

Zhaohui Lou

References

Rudwaleit

Taylor

(2010) Classification criteria for psoriatic arthritis and ankylosing spondylitis/axial spondyloarthritis. Best Practice & Research Clinical Rheumatology 24(5): 589–604.

Raychaudhuri

Deodhar

(2014) The classification and diagnostic criteria of ankylosing spondylitis. Journal of Autoimmunity 48–49: 128–133.

I Fernandez

Roura

Ruiz

, et al. (2017) Clinical utility of the ASDAS index in comparison with BASDAI in patients with ankylosing spondylitis (Axis Study). Rheumatology International 37(11): 1817–1823.

Fernández-Espartero

de Miguel

, et al. (2014) Validity of the ankylosing spondylitis disease activity score (ASDAS) in patients with early spondyloarthritis from the Esperanza programme. Annals of the Rheumatic Diseases 73(7): 1350–1355.

Wong

Mok

, et al. (2014) Disease activity assessment in ankylosing spondylitis in a Chinese cohort: BASDAI or ASDAS? Clinical Rheumatology 33(8): 1127–1134.

Mercan

Bitik

Tufan

, et al. (2016) The association between neutrophil/lymphocyte ratio and disease activity in rheumatoid arthritis and ankylosing spondylitis. Journal of Clinical Laboratory Analysis 30(5): 597–601.

Huang

, et al. (2020) Diagnostic value of fibrinogen to prealbumin ratio and gamma-glutamyl transpeptidase to platelet ratio in the progression of AFP-negative hepatocellular carcinoma. Cancer Cell International 20: 77.

Huang

Deng

Zheng

, et al. (2018) Relationship between monocytes to lymphocytes ratio and axial spondyloarthritis. International Immunopharmacology 57: 43–46.

Sun

Peng

Gao

, et al. (2018) Preoperative circulating FPR and CCF score are promising biomarkers for predicting clinical outcome of stage II-III colorectal cancer patients. Cancer Management and Research 10: 2151–2161.

10.

Unal

Orhan

Eroglu

, et al. (2013) Prealbumin is a more sensitive marker than albumin to assess the nutritional status in patients undergoing radiotherapy for head and neck cancer. Contemporary Oncology (Poznan, Poland) 17(3): 276–280.

11.

You

Sun

, et al. (2019) Albumin to fibrinogen ratio and fibrinogen to pre-albumin ratio are economical, simple and promising prognostic factors for solid malignancy. Journal of Thoracic Disease 11(Suppl 15): S2036–S2038.

12.

Sun

Tan

Gao

, et al. (2019) Circulating fibrinogen to pre-albumin ratio is a promising biomarker for diagnosis of colorectal cancer. Journal of Clinical Laboratory Analysis 33(1): e22635.

13.

Feng

Wang

Jiang

, et al. (2019) C-Reactive Protein to Prealbumin Ratio (CPR): a novel inflammatory-nutritional prognostic factor for predicting Cancer-Specific Survival (CSS) and Overall Survival (OS) in patients with resectable esophageal squamous cell carcinoma. Journal of Oncology 2019: 4359103.

14.

Wang

, et al. (2019) Cumulative score based on preoperative fibrinogen and pre-albumin could predict long-term survival for patients with resectable gastric cancer. Journal of Cancer 10(25): 6244–6451.

15.

Zochling

(2011) Measures of symptoms and disease status in ankylosing spondylitis: Ankylosing Spondylitis Disease Activity Score (ASDAS), Ankylosing Spondylitis Quality of Life Scale (ASQoL), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Global Score (BAS-G), Bath Ankylosing Spondylitis Metrology Index (BASMI), Dougados Functional Index (DFI), and Health Assessment Questionnaire for the Spondylarthropathies (HAQ-S). Arthritis Care & Research 63(Suppl 11):S47–S58.

16.

Kasapoğlu Aksoy

Altan

Görükmez

, et al. (2020) The relationship between CRP gene polymorphism (rs2794521, rs3091244), ASDAS-CRP and ASDAS-ESR in ankylosing spondylitis. Modern Rheumatology 30(4): 715-720.

17.

Sundström

Ljung

Wållberg-Jonsson

(2018) Exercise habits and C-reactive protein may predict development of spinal immobility in patients with ankylosing spondylitis. Clinical Rheumatology 37(10): 2881–2885.

18.

Llop-Talaveron

Badia-Tahull

Leiva-Badosa

(2018) An inflammation-based prognostic score, the C-reactive protein/albumin ratio predicts the morbidity and mortality of patients on parenteral nutrition. Clinical Nutrition (Edinburgh, Scotland) 2018; 37(5): 1575–1583.

19.

Sieper

Poddubnyy

(2017) Axial spondyloarthritis. Lancet (London, England) 390(10089): 73–84.

20.

Gabay

Kushner

(1999) Acute-phase proteins and other systemic responses to inflammation. The New England Journal of Medicine 340(6): 448–454.

21.

Chertow

Ackert

Lew

, et al. (2000) Prealbumin is as important as albumin in the nutritional assessment of hemodialysis patients. Kidney International 58(6): 2512–2517.

22.

Yasmin

Aziz

Nazim

, et al. (1993) Prealbumin rather than albumin is a more sensitive indicator of acute liver disease. The Malaysian Journal of Pathology 15(2): 147–150.

23.

Hrnciarikova

Juraskova

Hyspler

, et al. (2007) A changed view of serum prealbumin in the elderly: prealbumin values influenced by concomitant inflammation. Biomedical Papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia 151(2): 273–276.

24.

Zheng

, et al. (2019) CRP/prealbumin, a novel inflammatory index for predicting recurrence after radical resection in gastric cancer patients: post hoc analysis of a randomized phase III trial. Gastric Cancer 22(3): 536–545.

25.

Liu

Huang

, et al. (2020) The role of fibrinogen to albumin ratio in ankylosing spondylitis: correlation with disease activity. Clinica Chimica Acta 505: 136–140.

26.

Yue

Liu

Ding

, et al. (2015) The predictive value of the prealbumin-to-fibrinogen ratio in patients with acute pancreatitis. International Journal of Clinical Practice 69(10): 1121–1128.

27.

Wen

Yang

, et al. (2015) The preoperative plasma fibrinogen level is an independent prognostic factor for overall survival of breast cancer patients who underwent surgical treatment. Breast (Edinburgh, Scotland) 24(6): 745–750.

28.

Liu

Piela-Smith

(2000) Fibrin(ogen)-induced expression of ICAM-1 and chemokines in human synovial fibroblasts. Journal of Immunology (Baltimore, Md: 1950) 165(9): 5255–5261.

29.

Flick

LaJeunesse

Talmage

, et al. (2007) Fibrin(ogen) exacerbates inflammatory joint disease through a mechanism linked to the integrin αMβ2 binding motif. The Journal of Clinical Investigation 117(11): 3224–3235.

30.

Zhang

Liu

, et al. (2019) A novel inflammation-based prognostic index for patients with esophageal squamous cell carcinoma: neutrophil lymphocyte ratio/prealbumin ratio. Medicine 98(7): e14562.

The serum C-reactive protein to prealbumin ratio and fibrinogen to prealbumin ratio are two relevant indicators for evaluating the disease activity of ankylosing spondylitis

Abstract

Keywords

Introduction

Materials and methods

Research object

Research methods

Statistical methods

Result

Clinical characteristics of the enrolled participants

Correlation of CRP, ESR, Fib, PAlb, CPR, and FPR with clinical disease activity in patients with AS

Diagnostic values of CPR and FPR

Discussion

Conclusion

Footnotes

Declaration of conflicting interests

Funding

ORCID iD

References