CD4/CD8 Ratio: An Independent Predictor of Herpes Zoster in Patients With Autoimmune Inflammatory Rheumatic Diseases.

BACKGROUND: A higher incidence of herpes zoster (HZ) was found in people with decreased cell-mediated immunity. However, the relationship between cellular immunity and HZ infection in patients with autoimmune inflammatory rheumatic diseases (AIRD) remains elusive. OBJECTIVE: To investigate the role of CD4/CD8 ratio in patients with AIRD and HZ. METHODS: This case-control study compared AIRD patients with and without HZ. We chose 70 AIRD patients with HZ as the experimental group and 140 AIRD patients without HZ as the control group. The clinical and laboratory findings were assessed in each trial participant. RESULTS: The CD4/CD8 ratio (odds ratio [OR], 0.22; 95% confidence interval [CI], 0.10-0.49) was independently associated with the occurrence of HZ after adjusting for various confounders. Nonlinear analysis has unveiled a more profound nonlinear relationship between the CD4/CD8 ratio and the occurrence of HZ in patients with AIRD. The OR of HZ increased with a decreasing CD4/CD8 ratio before the turning point of 2. The adjusted regression coefficient was 0.14 (95% CI, 0.05-0.37, p<0.0001) for CD4/CD8 ratio less than 2. CONCLUSION: The CD4/CD8 ratio was expected to be a very promising quantitative biomarker for predicting the risk of developing HZ in patients with AIRD.

Factors affecting different COVID-19 outcomes in patients with systemic lupus erythematosus during the second pandemic wave of COVID-19 in China.

OBJECTIVE: To investigate characteristics associated with different COVID-19 outcomes of people with systemic lupus erythematosus (SLE) and COVID-19 during the second pandemic wave of COVID-19 in China. METHODS: In this retrospective study, people with SLE and COVID-19 who visited the First Affiliated Hospital of Nanchang University from December 2022 and February 2023 were subjected to this study. The three possible outcomes were listed in order of ordinal severity: (1) not hospitalized, (2) hospitalized but not receiving oxygenation, and (3) hospitalized with any ventilation or oxygenation. A multivariable ordinal logistic regression model was built to examine the association between COVID-19 severity and demographic traits, medications, comorbidities, and disease activity. Furthermore, among the 301 SLE patients included in our study, only two patients experienced mortality. In order to maintain statistical rigor, we have included these two deceased patients in the outcome measure of hospitalized with any ventilation or oxygenation. RESULTS: A total of 301 patients with SLE were enrolled in this study. The multivariate ordinal logistic regression analyses indicated that high SLE disease activity (vs remission; OR 39.04, 95% CI 3.08 to 494.44, p = .005) was associated with more severe outcomes. Three doses of COVID-19 vaccination (OR 0.19, 95% CI 0.07 to 0.51, p = .001), glucocorticoids dose (1-5 mg/day 0.14, 0.03 to 0.73, p = .020, and 6-9 mg/day 0.12, 0.02 to 0.61, p = .010), and more intensive immunosuppression drugs (0.34, 0.12 to 0.97, p = .044) were associated with better outcomes. In age-adjusted and sex-adjusted models, telitacicept (6.66, 1.35 to 32.86, p = .020) and rituximab (7.81, 1.87 to 32.66, p = .005) were associated with more severe outcomes. Hydroxychloroquine (0.47, 0.25 to 0.88, p = .018) was associated with favorable outcomes. CONCLUSION: Different COVID-19 outcomes in people with SLE are mostly driven by COVID-19 vaccination, medications, and activity SLE. More importantly, three doses of COVID-19 vaccination may be associated with better outcomes.

[Early prediction of severe COVID-19 in patients with Sjögren's syndrome].

OBJECTIVE: To investigate the predictive value of blood cell ratios and inflammatory markers for adverse prognosis in patients with primary Sjögren's syndrome (PSS) combined with coronavirus disease 2019 (COVID-19). METHODS: We retrospectively collected clinical data from 80 patients with PSS and COVID-19 who visited the Rheumatology and Immunology Department of the First Affiliated Hospital of Nanchang University from December 2022 to February 2023. Inclusion criteria were (1) meeting the American College of Rheumatology (ACR) classification criteria for Sjögren's syndrome; (2) confirmed diagnosis of COVID-19 by real-time reverse transcription polymerase chain reaction or antigen testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); (3) availability of necessary clinical data; (4) age > 18 years. According to the clinical classification criteria of the "Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia (trial the 10th Revised Edition)", the patients were divided into the mild and severe groups. Disease activity in primary Sjögren' s syndrome was assessed using the European League Against Rheumatism (EULAR) Sjögren' s syndrome disease activity index (ESSDAI). Platelet-lymphocyte ratio (PLR), C-reactive protein-lymphocyte ratio (CLR), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and other laboratory data were compared between the two groups within 24-72 hours post-infection. RESULTS: The mild group consisted of 66 cases with an average age of (51. 52±13. 16) years, and the severe group consisted of 14 cases with an average age of (52.64±10.20) years. Disease activity, CRP, platelets, PLR, and CLR were significantly higher in the severe group compared with the mild group (P < 0.05). Univariate analysis using age, disease activity, CRP, platelets, PLR, and CLR as independent variables indicated that disease activity, CRP, PLR, and CLR were correlated with the severity of COVID-19 (P < 0.05). Multivariate logistic regression analysis further confirmed that PLR (OR=1.016, P < 0.05) and CLR (OR=1.504, P < 0.05) were independent risk factors for the severity of COVID-19 in the critically ill patients. Receiver operator characteristic (ROC) curve analysis showed that the area under the curve (AUC) for PLR and CLR was 0.708 (95%CI: 0.588-0.828) and 0.725 (95%CI: 0.578-0.871), respectively. The sensitivity for PLR and CLR was 0.429 and 0.803, respectively, while the highest specificity was 0.714 and 0.758, respectively. The optimal cutoff values for PLR and CLR were 166.214 and 0.870, respectively. CONCLUSION: PLR and CLR, particularly the latter, may serve as simple and effective indicators for predicting the prognosis of patients with PSS and COVID-19.