Association between Hematological Indicesand Disease Activity in Patients with Rheumatoid Arthritis Treated with Janus Kinase Inhibitors for 24 Weeks

Association of the systemic immune-inflammation index with all-cause and cardiovascular mortality in individuals with rheumatoid arthritis

The systemic immune-inflammation index (SII), a metric reflecting systemic inflammatory response and immune activation, remains underexplored concerning its correlation with mortality among rheumatoid arthritis (RA) patients. This study aimed to delineate the association between SII and both all-cause and cardiovascular mortality within the cohort of American adults diagnosed with RA, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The investigation extracted data from NHANES cycles between 1999 and 2018, identifying RA patients through questionnaire responses. The SII was computed based on complete blood counts, employing the formula: (platelets × neutrophils) / lymphocytes. The optimal SII cutoff value for significant survival outcomes was determined using maximally selected rank statistics. Multivariable Cox proportional hazards models assessed the relationship between SII levels and mortality (all-cause and cardiovascular) among RA patients, with subgroup analyses examining potential modifications by clinical confounders. Additionally, restricted cubic spline (RCS) analyses were conducted to explore the linearity of the SII-mortality association. The study encompassed 2070 American adults with RA, among whom 287 exhibited a higher SII (≥ 919.75) and 1783 a lower SII (< 919.75). Over a median follow-up duration of 108 months, 602 participants died. After adjustments for demographic, socioeconomic, and lifestyle variables, a higher SII was associated with a 1.48-fold increased risk of all-cause mortality (hazard ratio [HR] = 1.48, 95% confidence interval [CI] 1.21-1.81, P < 0.001) and a 1.51-fold increased risk of cardiovascular mortality (HR = 1.51, 95% CI 1.04-2.18, P = 0.030) compared to a lower SII. Kaplan-Meier analyses corroborated significantly reduced survival rates within the higher SII cohort for both all-cause and cardiovascular mortality (Pall-cause mortality < 0.0001 and Pcardiovascular mortality = 0.0004). RCS analyses confirmed a positive nonlinear relationship between SII and mortality rates. In conclusion, the SII offers a straightforward indicator of the equilibrium between detrimental innate inflammation and beneficial adaptive immunity. Our investigation, utilizing a comprehensive and nationally representative sample, reveals that elevated SII levels independently forecast a greater risk of mortality from all causes, as well as cardiovascular-specific mortality, in individuals suffering from RA. These insights underscore the clinical relevance of the SII as an affordable and readily accessible biomarker. Its incorporation into regular clinical practice could significantly enhance the precision of risk assessment and forecasting for patients with RA, facilitating more tailored and effective management strategies. Specifically, patients with high SII levels could be identified for more stringent cardiovascular risk management, including closer monitoring, lifestyle interventions, and aggressive pharmacological treatments to mitigate their increased risk of mortality.

Evaluation of inflammatory biomarkers and the ratio of hemoglobin-red cell distribution width in patients with rheumatoid arthritis treated with tumor necrosis factor-alpha inhibitors

BACKGROUND

The aim of this study was to examine pre-treatment and post-treatment hemogram-derived inflammatory biomarkers in patients with rheumatoid arthritis (RA) who received anti-tumor necrosis factor (TNF)-α treatment.

MATERIAL AND METHODS

The data of 1182 patients with RA were screened. Among them, 207 patients who met the eligibility criteria were included in the retrospective study. Demographic parameters, disease activity, and blood cell-derived indexes were evaluated. The neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), and hemoglobin-red cell distribution width (Hb/RDW) rates were evaluated before treatment and at the third month of treatment in patients with RA who received anti-TNF-α treatment.

RESULTS

According to the EULAR response criteria, 12.6% of the 207 patients responded to anti-TNF-α treatment as none, 21.3% as good, and 66.2% as moderate, respectively. Post-treatment NLR and PLR values were significantly lower than pre-treatment values (p < 0.001), whereas post-treatment LMR and Hb/RDW values were significantly higher than pre-treatment values (respectively, p = 0.001 and p = 0.012). The difference between pre-treatment and post-treatment values of LMR and Hb/RDW was significantly higher when compared to the moderate + good response groups than the none-response group (p = 0.002 and p = 0.014, respectively). However, in the receiver operating characteristic curve analysis, these parameters were not found to be significant in predicting treatment response.

CONCLUSION

Significant changes were detected in hemogram-derived inflammatory markers of the groups responding to anti-TNF-α treatment. They can be used as a guide during treatment follow-up. Yet, they do not predict treatment response. Key Points • RA may manifest with periods of remission and activation, and regular follow-up is essential. • There is a demand for readily available, reproducible, and cost-effective parameters to assess treatment response. • Hemogram-derived inflammatory markers differ in relation to anti-TNF-α treatment response in RA. • None of those markers demonstrate an acceptable predictive performance in distinguishing patients based on their response to TNF-α inhibitors.

The diagnostic role of the systemic inflammation index in patients with immunological diseases: a systematic review and meta-analysis

The identification of novel, easily measurable biomarkers of inflammation might enhance the diagnosis and management of immunological diseases (IDs). We conducted a systematic review and meta-analysis to investigate an emerging biomarker derived from the full blood count, the systemic inflammation index (SII), in patients with IDs and healthy controls. We searched Scopus, PubMed, and Web of Science from inception to 12 December 2023 for relevant articles and evaluated the risk of bias and the certainty of evidence using the Joanna Briggs Checklist and the Grades of Recommendation, Assessment, Development, and Evaluation Working Group system, respectively. In 16 eligible studies, patients with IDs had a significantly higher SII when compared to controls (standard mean difference, SMD = 1.08, 95% CI 0.75 to 1.41, p < 0.001; I2 = 96.2%, p < 0.001; moderate certainty of evidence). The pooled area under the curve (AUC) for diagnostic accuracy was 0.85 (95% CI 0.82-0.88). In subgroup analysis, the effect size was significant across different types of ID, barring systemic lupus erythematosus (p = 0.20). In further analyses, the SII was significantly higher in ID patients with active disease vs. those in remission (SMD = 0.81, 95% CI 0.34-1.27, p < 0.001; I2 = 93.6%, p < 0.001; moderate certainty of evidence). The pooled AUC was 0.74 (95% CI 0.70-0.78). Our study suggests that the SII can effectively discriminate between subjects with and without IDs and between ID patients with and without active disease. Prospective studies are warranted to determine whether the SII can enhance the diagnosis of IDs in routine practice. (PROSPERO registration number: CRD42023493142).

Could Blood Cell-Based Inflammatory Markers Be Used to Monitor Response to Biologic Therapy in Psoriasis?

Objectives

Despite extensive research, there is currently no specific biomarker that reliably and universally indicates treatment response in psoriasis. Multiple studies have evaluated systemic inflammation markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic immune response index (SIRI) in psoriasis patients. However, there are limited studies investigating changes in these markers with biologic therapy. The goal of this study was to investigate the impact of biologic therapy on parameters including NLR, PLR, MLR, SII, and SIRI in patients with psoriasis.

Methods

In this cohort study, we retrospectively evaluated 108 psoriasis patients who were on biological treatment, including interleukin (IL)17, IL23, and IL12/23 inhibitors, for a minimum of 12 weeks. We analyzed Psoriasis Area Severity Index (PASI) scores, complete blood count parameters, and C-reactive protein (CRP) levels both before and after 12 weeks of treatment.

Results

The NLR, PLR, MLR, SII, SIRI, and CRP values all demonstrated a significant decrease, regardless of the specific type of biologic agent (p=0.001, 0.007, 0.011, <0.001, <0.001 and <0.001, respectively). Furthermore, we observed a statistically significant but low correlation between the reduction in PASI scores and PLR, SII, and SIRI values (p=0.036, r=0.202; p=0.042, r=0.196; p=0.023, r=0.219, respectively).

Conclusion

The NLR, MLR, especially PLR, SII, and SIRI might be used as simple, convenient, and inexpensive laboratory markers to monitor the degree of inflammation and response to treatment after biologic therapy in daily practice.

Correlation of Hematological Indices and Acute-Phase Reactants in Rheumatoid Arthritis Patients on Disease-Modifying Antirheumatic Drugs: A Retrospective Cohort Analysis

Acute-phase markers are often used to evaluate the disease activity of rheumatoid arthritis (RA). Occasionally, the serum levels of acute-phase reactants remain normal in patients with obvious inflamed joints. Hematological indices derived from complete blood counts have been shown to correlate with disease activity. This provides a potential practical implementation in daily practice. Only a few studies have evaluated the relation between hematological indices and novel RA treatment (i.e., biological and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs); no research has examined the changes in hematological indices in RA treatments longitudinally. We conducted a retrospective study involving 273 RA patients with b/tsDMARD treatment and followed them for at least a year. Baseline, 3-month, and 6-month lab data were collected. The results indicated a reduction in the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and systemic immune-inflammation index (SII) post-treatment. Higher baseline PLRs and SIIs were associated with a more significant reduction in ESR at three months (η2 = 0.03/0.13, p = 0.21/0.023). NLR and SII correlated with CRP moderately at three months (r = 0.373/0.394, p < 0.001/< 0.001). A correlation comparison showed that the correlation of NLR and PLR with CRP differs during different periods (p = 0.037/0.004). Subgroup analysis revealed that the time effect on correlation is related to treatment with Janus kinase inhibitor and anti-interleukin-6 but not antitumor necrosis factors.

Relationship of Complete Blood Count Derived Biomarkers With Methotrexate Resistance

Background Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic inflammation and joint damage. Among the therapeutic agents, methotrexate remains a cornerstone of initial treatment. Complete blood count (CBC)-derived biomarkers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic immune response index (SIRI) have been extensively studied in various diseases. Still, their specific role in RA patients undergoing methotrexate treatment has not been investigated. Objective This study aimed to investigate the relationship of CBC-derived biomarkers with methotrexate resistance in newly diagnosed rheumatoid arthritis patients. Methods We performed a comprehensive analysis of 54 RA patients, divided into methotrexate-resistant (MTXR) and methotrexate-sensitive (MTXS) groups. Analysis of variance (ANOVA) was used to assess differences in hematological biomarkers between groups. Standard t-tests were used to compare specific biomarkers between the MTXR and MTXS groups. The chi-squared test was used to compare categorical variables between groups. Pearson's correlation test was also used to examine correlations between these biomarkers and Disease Activity Score 28 (DAS28) in both groups. Receiver operating characteristic (ROC) curve analysis was performed for each biomarker to determine predictive ability. Results A statistically increased PLR ratio was observed in the MTXR group compared to the MTXS group. Significant correlations between DAS28 and NLR, PLR, SII, and SIRI were observed in the MTXR group. In contrast, these correlations were absent in the MTXS group. In addition to PLR, DAS28 and ESR were significantly higher in the MTXR group than in the MTXS group. None of these biomarkers showed prognostic value for methotrexate treatment outcomes. Conclusion PLR could be used as a biomarker for resistance to methotrexate treatment in a specific RA patient population. Increased PLR and ESR, together with higher DAS28, might be associated with a more pronounced inflammatory state in MTXR patients.

[Neutrophil-lymphocyte and platelet-lymphocyte ratios for assessing disease activity in patients with rheumatoid arthritis receiving tofacitinib treatment]

OBJECTIVE

To evaluate the value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for assessing disease activity in patients with rheumatoid arthritis (RA) treated with tofacitinib.

METHODS

This retrospective study was conducted among 98 RA patients in active stage treated with tofacitinib in Third Xiangya Hospital and 100 healthy control subjects from the Health Management Center of the hospital from 2019 to 2021. We collected blood samples from all the participants for measurement of erythrocyte sedimentation rate (ESR), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6) and other blood parameters 1 month before and 6 months after tofacitinib treatment. We further evaluated PLR and NLR before and after tofacitinib treatment in the RA patients, and analyzed their correlations with RA disease activity.

RESULTS

PLR and NLR increased significantly in RA patients as compared with the healthy controls. In the RA patients, PLR and NLR were positively correlated with the levels of hs- CRP, ESR, IL- 6, Disease Activity Score of 28 joints-ESR (DAS28-ESR), anti-cyclic citrullinated peptide (CCP), and rheumatoid factor (RF) before and after tofacitinib treatment. Tofacitinib treatment for 6 months significantly decreased hs-CRP, ESR, IL-6, CCP, RF and DAS28-ESR levels in the RA patients.

CONCLUSION

NLR and PLR can be useful biomarkers for assessing disease activity in RA patients treated with tofacitinib.

Different Biomarkers of Response to Treatment with Selective Jak-1 Inhibitors in Rheumatoid Arthritis

BACKGROUND

Rheumatoid arthritis (RA) is a systemic autoimmune disease that causes progressive joint damage. The Janus kinase (JAK) inhibitors (JAK-I) represent a new therapeutic option for RA patients, blocking the intracellular JAK-STAT pathway. Today, no studies have been conducted to determine whether new biomarkers could better reflect disease activity in patients treated with JAK-I than traditional disease activity indicators. Thus, the aim of our study was to determine additional disease activity biomarkers in RA patients receiving selective JAK-1 inhibitors.

METHODS

we enrolled 57 patients with RA: 34 patients were treated with Upadacitinib (UPA) and 23 patients with Filgotinib (FIL). All patients were evaluated for clinimetry with DAS28 and Crohn's Disease Activity Index (CDAI), number of tender and swollen joints, Visual Analogic Scale (VAS), Physician Global Assessment (PhGA), and Health Assessment Questionnaire (HAQ), at baseline and at the 12th week of treatment. Lymphocyte subpopulations, complete blood count, erythrocyte sedimentation rate (ESR), C-Reactive Protein (CRP), anti-cyclic citrullinated peptide antibodies (APCA), rheumatoid factor (RF) IgM, interleukin 6 (IL-6), circulating calprotectin (cCLP), tumor necrosis factor α (TNFα), soluble urokinase Plasminogen Activator Receptor (suPAR), complement functional activity were measured at baseline and after the 12th week of treatment.

RESULTS

in both groups of patients, we documented a significant reduction in the clinimetric parameters DAS28, CDAI, number of tender joints, number of swollen joints, VAS, PhGA, and HAQ. Moreover, significant differences were reported for laboratory parameters of ESR, CRP, IL-6, suPAR, cCLP, and PLT/L ratio in both groups. However, no difference was demonstrated between the two groups for changes in renal, hepatic, and lipid parameters.

CONCLUSIONS

the suPAR and cCLP levels may lead towards a different therapeutic choice between UPA and FIL, with the expression of two different RA pathophenotypes directing FIL towards a lymphocyte-poor form and UPA towards a myeloid form of RA.

Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population

Introduction

The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide.

Objective

This study is aimed to evaluate the association and predictive value of indices of systemic inflammation with severity and non-survival of COVID-19 in Mexican patients.

Materials and Methods

A retrospective study was carried out on 807 subjects with a confirmed diagnosis of COVID-19. Clinical characteristics, acute respiratory distress syndrome (ARDS), severity according to PaO2/FiO2 ratio, invasive mechanical ventilation (IMV), and non-survival outcome were considered to assess the predictive value and the association of 11 systemic inflammatory indices derived from hematological parameters analyzed at the hospital admission of patients. The receiver operating characteristics curve was applied to determine the thresholds for 11 biomarkers, and their prognostic values were assessed via the Kaplan-Meier method.

Results

26% of the studied subjects showed COVID-19 severe (PaO2/FiO2 ratio ≤ 100), 82.4% required IMV, and 39.2% were non-survival. The indices NHL, NLR, RDW, dNLR, and SIRI displayed predictive values for severe COVID-19 and non-survival. NHL, SIRI, and NLR showed predictive value for IMV. The cut-off values for RDW (OR = 1.85, p < 0.001), NHL (OR = 1.67, p = 0.004) and NLR (OR = 1.56, p = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, p < 0.001), AISI (OR = 2.64, p < 0.001) and SIRI (OR = 2.51, p < 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, p < 0.001), NLR (OR = 2.26, p < 0.001), dNLR (OR = 1.92, p < 0.001), SIRI (OR = 1.67, p = 0.002) and SII (OR = 1.50, p = 0.010). The patients with an RDW, PLR, NLR, dNLR, MLR, SII, and NHL above the cut-off had a survival probability of COVID-19 50% lower, with an estimated mean survival time of 40 days.

Conclusion

The emergent systemic inflammation indices NHL, NLR, RDW, SII, and SIRI have a predictive power of severe COVID-19, IMV support, and low survival probability during hospitalization by COVID-19 in Mexican patients.

Diagnostic Value of Neutrophil-to-Lymphocyte, Platelet-to-Lymphocyte, and Monocyte-to-Lymphocyte Ratios for the Assessment of Rheumatoid Arthritis in Patients with Undifferentiated Inflammatory Arthritis

Background: To investigate the diagnostic performance of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) in the diagnosis of rheumatoid arthritis (RA) in subjects with undifferentiated inflammatory arthritis (UIA). Methods: This retrospective cohort study investigated 201 female patients with UIA (≥1 swollen joint) and 280 age-matched, healthy female controls. “Clinical RA” was defined based on the clinical judgment of a rheumatologist and “disease-modifying anti-rheumatic drugs (DMARDs) RA” was defined as a case of initiating DMARDs treatment within 6 months after the first visit. “Classified RA” was defined as fulfilling the 2010 classification criteria for RA. Receiver operating characteristics were used to determine the optimal cut-off value. Results: UIA patients had a significantly higher NLR, PLR, and MLR than the controls. Among the 201 UIA patients, 65 (32.3%), 63 (31.3%), and 61 (30.3%) subjects were classified as clinical RA, DMARDs RA, and classified RA, respectively. At a cut-off of 0.24, MLR showed moderate accuracy for the diagnosis of DMARDs RA (sensitivity, 65.1%; specificity, 62.3%; area under the curve [AUC], 0.701; p < 0.001). However, the diagnostic accuracies of NLR and PLR were low. Conclusions: MLR may be used as a complementary diagnostic indicator for RA diagnosis in patients with UIA.