Evaluation of the prognostic nutritional index (PNI) as a tool for assessing disease activity in rheumatoid arthritis patients.

OBJECTIVES: Rheumatoid arthritis (RA) is an autoimmune disease of unknown exact cause, characterized by chronic inflammation. The prognostic nutritional index (PNI), reflecting albumin concentration and lymphocyte count, is a newly established inflammation-based nutritional score. This study aimed to determine the relationship between PNI and disease activity in RA patients. PATIENTS AND METHODS: This cross-sectional study included 138 RA patients who met the 2010 revised criteria of the American College of Rheumatology (ACR) for RA. PNI was calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × total lymphocyte count in the peripheral blood (per mm3). The study population was divided into two groups: DAS28-ESR ≤ 3.2 (group 1 with remission and low disease activity) and DAS28-ESR > 3.2 (group 2 with moderate and high disease activity). RESULTS: A total of 138 patients with a mean age of 52.1 years were recruited. While the female gender was more prevalent in both groups, it was significantly higher in group 2 (p < 0.05). Group 2 exhibited a lower PNI compared to those in group 1 (42.17 ± 3.46 vs. 44.02 ± 2.92; p = 0.001). Multivariate logistic regression analyses revealed that PNI was an independent predictor of disease activity (OR, 0.850; 95% CI, 0.735-0.983; p = 0.029). ROC curve analysis determined that the optimal cutoff value of PNI for disease activity was 43.01, with a sensitivity of 69.1% and specificity of 57.7% (AUC, 0.66; 95% CI, 0.57-0.75, p = 0.001). CONCLUSION: This study demonstrates that the simple and readily available PNI could serve as an independent predictor of disease activity in rheumatoid arthritis patients. Key Points •The relationship between disease activity and the prognostic nutritional index, which is a nutritional indicator, in rheumatoid arthritis patients was investigated. •It has been shown that there is a connection between low PNI and high disease activity. •It has been shown that PNI can be used to evaluate disease severity with a simple calculation.

The role of smart devices and mobile application on the change in peak VO2 in patients with high cardiovascular risk: a sub-study of the LIGHT randomised clinical trial.

BACKGROUND: This investigation aims to assess the influence of a mobile application and smart devices on cardiopulmonary exercise testing (CPET) over a one-year period in individuals who have high risk for cardiovascular disease. METHODS: This is a post-hoc subgroup analysis of Lifestyle Intervention Using Mobile Technology in Patients with High Cardiovascular Risk: A Pragmatic Randomised Clinical Trial (LIGHT). In the intervention plus standard care standard standard care arms, 138 and 103 patients were recruited, respectively. The 1-year VO2 measurements were adjusted to the baseline VO2 measurements as the study's endpoint. VO2 measurements were taken for each subject during the randomisation and final CPET examinations. RESULTS: The intervention plus standard care improved VO2 measurements by 1.1 (adjusted treatment effect 1.1, 95% confidence interval (CI): 0.8, 1.4, p < 0.001) compared to standard care following 1-year follow-up. CONCLUSION: At a 1-year follow-up, the smart device and mobile application technologies increased VO2 measurements in individuals with high cardiovascular risk compared to conventional treatment alone.

The relation between average 1-year home blood pressure and the change in pro-BNP and left ventricle mass index.

BACKGROUND: The purpose of this investigation was to examine the association between average 1-year home blood pressure and the change in left ventricular mass index (LVMI) and pro-brain natriuretic peptide (BNP) levels. METHODS: This prospective study was a subgroup analysis of lifestyle intervention using mobile technology in patients with high cardiovascular risk: a pragmatic randomized clinical Trial (LIGHT). In total, 242 patients were stratified into tertiles according to their average 1-year home blood pressure. RESULTS: Patients grouped into the tertile 3 (T3) had a lower 1-year mean, SBP and DBP. The T3 group had a 2.1 times higher rate of decrease in pro-BNP and a 1.6 times higher rate of decrease in LVMI compared with T1, compared with the reference group. The area under curve (AUC) value of average 1-year home blood pressure was higher than that of mean SBP or DBP. (AUC, 0.75 vs. AUC, 0.70 vs. AUC, 0.69, respectively). Spearman rank correlation demonstrated that average 1-year home blood pressure had a correlation with Δpro-BNP and ΔLVMI. CONCLUSION: The present study showed that average 1-year home blood pressure may have a significant association with a decrease in LVMI and pro-BNP. Our study appears to be the first to evaluate the association between average 1-year home blood pressure and the change in LVMI and pro-BNP.