Lymphopenia in early arthritis: Impact on diagnosis and 3-year outcomes (ESPOIR cohort)

Determination of etiology in patients admitted due to isolated leukopenia

Patients with isolated leukopenia pose difficulties in diagnosis because there is no related guideline in the literature. In this study, our aim was to evaluate the clinical and laboratory associations of isolated, nonspecific (not related to neutropenia) leukopenia. In this retrospective data review study, patients who were admitted to Hacettepe University Hematology Outpatient Clinic between 2014 and 2019 due to leukopenia were evaluated. The patients with anemia (other than iron deficiency) or thrombocytopenia were excluded. Clinical and laboratory data and the final diagnoses (if present) of the remaining cases and especially of those without neutropenia (the most difficult group to diagnose) were evaluated. One hundred sixty-nine patients were included in the study. One hundred forty-four (85.2%) patients were female and 25 (14.8%) were male. One hundred ten of them had 1500/µL or higher neutrophil count. In these nonneutropenic cases, the etiological factors contributing to leukopenia were as follows: iron deficiency anemia (21.8%), other autoimmune/autoinflammatory diseases (17.3%), autoimmune thyroid disease (21.8%), autoimmune laboratory tests (2.7%), drugs (12.7%), infection (5.5%), hematopoietic disorder (2.7%), hypersplenism (2.7%), radiotherapy sequel (1.8%), and B12 deficiency (1.8%). No etiology was recognized in 44 patients. On the other hand, the etiological factors in patients with neutrophil count <1500/µL were as follows; iron deficiency anemia (10.2%), other autoimmune/autoinflammatory diseases (17%), autoimmune thyroid disease (5.1%), autoimmune laboratory tests (8.5%), drugs (8.5%), infection (6.8%), hematopoietic disorder (11.9%), hypersplenism (1.7%), radiotherapy sequel (1.7%), and B12 deficiency (1.7%). No etiology was recognized in 25 patients. Physicians ordered bone marrow examination more frequently in patients with neutropenia. If isolated antinuclear antibody positivity was also considered in favor of autoimmunity, 91/169 (53.8%) cases had an autoimmune diagnosis or laboratory finding. In the present study, the most frequent reasons of isolated leukopenia in nonneutropenic patients are found as iron deficiency anemia, other autoimmune/autoinflammatory diseases, and autoimmune thyroid disease. In neutropenic patients, the most frequent reasons of isolated leukopenia are found as iron deficiency anemia, autoimmune/autoinflammatory diseases, and hematopoietic disorders. Therefore, autoimmunity is detected as an important factor leading to isolated leukopenia.

The association between lymphopenia and serious infection risk in rheumatoid arthritis

OBJECTIVES

To investigate the relationship between occurrence of serious infection (SI) and lymphocyte counts in patients with RA using data from a single centre.

METHODS

We used routinely captured data from a single tertiary rheumatology centre to explore the relationship between lymphopenia and SI risk. Adult RA patients were included over a 5-year follow-up period. Admissions due to confirmed SI were considered. SI rate with 95% confidence intervals was calculated. The association between SI with baseline lymphocyte counts, time-averaged lymphocyte counts throughout all follow-up, and a nadir lymphocyte count was assessed using Cox proportional hazards regression. The relationship between lymphopenia over time and SI was analysed using a mixed-effect model of lymphocyte counts prior to SI.

RESULTS

This analysis included 1095 patients with 205 SIs during 2016 person-years of follow-up. The SI rate was 4.61/100 patient-years (95% CI: 3.76, 5.65). Compared with patients with nadir lymphocyte counts >1.5 × 109 cells/l, nadir lymphopenia <1 × 109 cells/l was significantly associated with higher SI risk (HR 3.28; 95% CI: 1.59, 6.76), increasing to HR 8.08 (95% CI: 3.74, 17.44) in patients with lymphopenia <0.5 × 109 cells/l. Lymphocyte counts were observed to be reduced in the 30-day period prior to SI.

CONCLUSION

Lymphocyte counts below <1.0 × 109 cells/l were associated with higher SI risk in RA patients; the strongest association between lymphopenia and SI was observed when lymphocyte counts were below <0.5 × 109 cells/l. Lymphopenia may be used as a measure to stratify patients at risk of SI.

Zytopenien

Hematological alterations can often be observed during rheumatic diseases. The effects can be clinically severe, ranging from anemia of different grades of severity, through increased risk of hemorrhage due to thrombocytopenia up to severe infections as a result of high-grade leukocytopenia. The clinical sequelae for patients are predominantly determined by the extent of cytopenia. The underlying disease itself can initially be considered as the cause. Examples are anemia as a result of chronic inflammation, antibody-mediated thrombocytopenia as in systemic lupus erythematosus (SLE) or granulocytopenia within the framework of Felty's syndrome. Immunosuppressive treatment also often leads to alterations in the blood constituents. Although some substances, such as cyclophosphamide can suppress all three cell types, there are also selective effects, such as isolated thrombocytopenia under treatment with tocilizumab and JAK inhibitors. The differential diagnostic clarification of cytopenia can be difficult and necessitates a systematic work-up of the course of the disease and the subsequent treatment. The reviews of anemia, leukocytopenia and thrombocytopenia presented here summarize the most important components of the differentiation of hematological alterations in patients with rheumatic diseases.

The association between the lymphocyte-monocyte ratio and disease activity in rheumatoid arthritis

The lymphocyte-monocyte ratio (LMR) is a systemic inflammatory marker for prediction of disease development, progress, and survival. Recently, a genome-wide association study identified genetic variations in ITGA4 and HLA-DRB1 that affect the LMR levels and were widely believed to be susceptibility genes for autoimmune diseases, including rheumatoid arthritis (RA). However, the role of LMR in RA patients remains unclear. The LMR level and other laboratory data of 66 RA patients, 163 osteoarthritis (OA) patients, and 131 healthy controls (HC) were compared using binary logistic regression. The correlations between LMR and disease activity and other inflammatory markers were measured using the Spearman rank test. ROC curve analyses assessed the diagnostic accuracy of LMR in RA. The LMR and lymphocyte count were significantly lower in RA patients, whereas the monocyte count was significantly higher relative to the HC group/OA patients (p < 0.01). A decreased LMR has been associated with increased disease activity (p = 0.012). In addition, the DAS28 and traditional inflammatory markers, including ESR, CRP, RDW, PLR, and NLR, and immune-related factors, such as C4, IgA, and IgM, were inversely correlated with LMR, while hemoglobin and albumin were positively correlated with LMR. The ROC curve showed that the area under the curve of LMR was 0.705 (95%CI = 0.630-0.781). The corresponding specificity and sensitivity were 82.82 and 45.45%, respectively. The present study shows that the LMR is an important inflammatory marker which could be used to identify disease activity in RA patients and to distinguish RA from OA patients.