Real-world data on seropositive rheumatoid arthritis, then and now: ten-year outcomes of 1151 patients diagnosed between 1997 and 2011.

OBJECTIVES: To study 10-year outcomes in patients with early seropositive rheumatoid arthritis (RA) whether the outcomes improve over time. METHODS: Data of 1754 patients with early RA, diagnosed in 1997-2011 were explored; 66% (n=1151) were seropositive and included in the analyses. Patients were divided into five groups by diagnosis year: 1997-1999, 2000-2002, 2003-2005, 2006-2008 and 2009-2011. Clinical parameters including disease activity and function were compared between the groups. RESULTS: A total of 832 (72%) patients attended the 10-year visit, while 319 did not (e.g. 196 had died and 49 moved). The median (IQR) DAS28 decreased from 2.9 (2.2, 3.7) to 2.3 (1.4, 3.0) (p<0.001) between groups 1997-1999 and 2009-2011. The proportion of patients with 2 or more swollen joints on 46 joint count decreased from 33% to 13%, respectively. Median (IQR) pain decreased from 30 (15, 52) to 25 (6, 51) (p=0.03) and fatigue from 31 (12, 52) to 15 (2, 50) (p=0.012). Median (IQR) dr.global decreased from 20 (5, 40) to 0 (0, 5) p<0.001. The proportion of patients with a HAQ-score of ≤0.5 increased from 39% to 49% (p=0.002). The proportion of patients that had used methotrexate by the 10-year visit increased from 79% to 96% (p<0.001) and the proportion of patients who had used bDMARDs increased from 11% to 28% (p=0.001), respectively. CONCLUSIONS: Several clinical outcomes were better in patients who were diagnosed more recently. More intensive use of medications over time might have contributed to these improvements.

Underweight and obesity are related to higher mortality in patients undergoing coronary angiography: The KARDIO invasive cardiology register study.

BACKGROUND: In patients with some cardiovascular disease conditions, slightly elevated body mass index (BMI) is associated with a lower mortality risk (termed "obesity paradox"). It is uncertain, however, if this obesity paradox exists in patients who have had invasive cardiology procedures. We evaluated the association between BMI and mortality in patients who underwent coronary angiography. METHODS: We utilised the KARDIO registry, which comprised data on demographics, prevalent diseases, risk factors, coronary angiographies, and interventions on 42,636 patients. BMI was categorised based on WHO cut-offs or transformed using P-splines. Hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated for all-cause mortality. RESULTS: During a median follow-up of 4.9 years, 4688 all-cause deaths occurred. BMI was nonlinearly associated with mortality risk: compared to normal weight category (18.5-25 kg/m2 ), the age-adjusted HRs (95% CIs) for all-cause mortality were 1.90 (1.49, 2.43), 0.96 (0.92, 1.01), 1.04 (0.99, 1.09), 1.08 (0.96, 1.20), and 1.45 (1.22, 1.72) for underweight (<18.5 kg/m2 ), preobesity (25 to <30 kg/m2 ), obesity class I (30 to <35 kg/m2 ), obesity class II (35 to <40 kg/m2 ), and obesity class III (>40 kg/m2 ), respectively. The corresponding multivariable adjusted HRs (95% CIs) were 2.00 (1.55, 2.58), 0.92 (0.88, 0.97) 1.01 (0.95, 1.06), 1.10 (0.98, 1.23), and 1.49 (1.26, 1,78), respectively. CONCLUSIONS: In patients undergoing coronary angiography, underweight and obesity class III are associated with increased mortality risk, and the lowest mortality was observed in the preobesity class. It appears the obesity paradox may be present in patients who undergo invasive coronary procedures.

The Effectiveness of Physical Activity-Promoting Web- and Mobile-Based Distance Weight Loss Interventions on Body Composition in Rehabilitation Settings: Systematic Review, Meta-analysis, and Meta-Regression Analysis.

BACKGROUND: Overweight and obesity are major problems worldwide, and they lead to an increased risk for several diseases. The use of technology in the treatment of obesity is promising, but in the existing literature, there is considerable uncertainty regarding its efficacy. In this review, we included web- and mobile-based weight loss interventions that were implemented remotely in rehabilitation settings. OBJECTIVE: The aim of this systematic review is to study the effectiveness of physical activity-promoting web- and mobile-based distance weight loss interventions in rehabilitation settings on body composition in comparison with control groups that did not use technology. METHODS: Studies were searched from 9 databases. The inclusion criteria were as follows: population: age 18-65 years; intervention: physical activity-promoting web- and mobile-based distance weight loss interventions; comparison: control groups without the use of technology; outcome: changes in BMI, waist circumference, or body fat percentage; study design: randomized controlled trial. The quality of the studies was assessed by 2 researchers. Meta-analysis was performed, and we also conducted a meta-regression analysis to evaluate the factors associated with the changes in body composition outcomes if statistical heterogeneity was observed. RESULTS: The meta-analysis included 30 studies. The mean quality of the studies was 7 of 13 (SD 1.9; range 3-10). A statistically significant difference was observed in BMI (mean difference [MD] 0.83, 95% CI 0.51-1.15 kg/m2; P<.001), waist circumference (MD 2.45, 95% CI 1.83-3.07 cm; P<.001), and body fat percentage (MD 1.07%, 95% CI 0.74%-1.41%; P<.001) in favor of the weight loss groups using web- or mobile-based interventions. Meta-regression analyses found an association between personal feedback and BMI (P=.04), but other factors did not play a role in explaining statistical heterogeneity. CONCLUSIONS: Web- and mobile-based distance weight loss interventions significantly reduced BMI, waist circumference, and body fat percentage. Future studies should focus on the comparability of the intervention content. Future studies are needed to better understand weight loss and identify which components are essential in achieving it. TRIAL REGISTRATION: PROSPERO CRD42016035831; https://tinyurl.com/7c93tvd4.

Effectiveness of Exergame Intervention on Walking in Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

OBJECTIVE: The objective of this review was to systematically evaluate the effectiveness of exergaming on walking in older adults. In addition, the aim was to investigate the relationship between the exergaming effect and age, baseline walking performance, exercise traits, technology used, and the risk of bias. METHODS: A literature search was carried out in the databases MEDLINE, CINAHL, CENTRAL, EMBASE, WoS, PsycInfo, and PEDro up to January 10, 2020. Studies with a randomized controlled trial design, people ≥60 years of age without neurological disorders, comparison group with other exercise or no exercise, and walking-related outcomes were included. Cochrane RoB2, meta-analysis, meta-regression, and Grading of Recommendations, Assessment, Development and Evaluation were used to estimate quality, treatment effect, covariates' effect, and the certainty of evidence, respectively. RESULTS: In the studies included (n = 66), the overall risk of bias was low (n = 2), unclear (n = 48), or high (n = 16). Compared with comparison groups, exergaming interventions were more effective for walking improvements (standardized mean difference = -0.21; 95% CI = -0.36 to -0.06; 3102 participants, 58 studies; moderate-quality evidence) and more or equally effective (standardized mean difference = -0.32; 95% CI = -0.64 to 0.00; 1028 participants, 13 studies; low-quality evidence) after nonexergaming follow-up. The strongest effect for covariates was observed with the type of comparison group, explaining 18.6% of the variance. CONCLUSION: For older adults without neurological disorders, exergame-based training improved walking, and improvements were maintained at follow-up. Greater benefits were observed when exergaming groups were compared with inactive comparison groups. To strengthen the evidence, further randomized controlled trials on the effectiveness of gamified exercise intervention are needed. IMPACT: Exergaming has an effect equivalent to other types of exercising on improving walking in older adults. Physical therapists and other rehabilitation professionals may consider exergaming as a promising form of exercise in this age group.

Effectiveness of physical activity promoting technology-based distance interventions compared to usual care. Systematic review, meta-analysis and meta-regression.

INTRODUCTION: Technology has been thought to have strong potential for promoting physical activity, but the evidence has remained unclear. The aim of this study was to examine whether a technology-based distance intervention promoting physical activity is more effective than a physical activity intervention without the use of technology. This systematic review is registered in Prospero (CRD42016035831). EVIDENCE ACQUISITION: A systematic literature search of studies published between January 2000 to December 2015 was conducted in CENTRAL, EMBASE, Ovid MEDLINE, CINAHL, PsycINFO, OT-Seeker, WOS and PEDro. Studies were selected by two independent authors applying the following PICOS criteria P) adults, I) technology-based distance intervention promoting physical activity, C) distance intervention promoting physical activity without technology, O) physical activity, S) RCT. Quality was assessed following the guidelines of Cochrane Back Review Group. Meta-analysis and meta-regression were performed using R. EVIDENCE SYNTHESIS: From 3 031 studies, 23 randomized controlled trials with a total of 4 645 participants were included in the meta-analysis. The quality of the studies was moderate (mean 6 out of the maximum 12, with range of 4-9). Technology-based interventions were 12% more effective than similar or minimal control interventions in increasing physical activity (RR: 1.12; 95% CI: 1.01 to 1.25, P=0.03). Compared to minimal control interventions, technology-based interventions were 19% more effective (RR: 1.19; 95% CI 1.05 to 1.35, P=0.0096). In the interventions targeting patients, use of technology was 25% more effective than non-use (P=0.027). No differences were observed in physical activity between the effectiveness of interactive, non-interactive and self-monitoring technologies. Study quality, intervention duration and whether the measures used were subjective or objective were not significantly related to the amount of physical activity engaged in. CONCLUSIONS: Technology-based delivery of interventions seems to be more effective than usual care in promoting physical activity, particularly in the interventions targeting patients. Future research should investigate the cost-effectiveness of the use of distance technology for this purpose. Technology benefits rehabilitation, and can be considered for use in clinical practice, may adequately replace face-to-face meetings and stimulate more intensive rehabilitation in daily life.

Effectiveness of technology-based distance interventions promoting physical activity: Systematic review, meta-analysis and meta-regression.

OBJECTIVE: To determine the effectiveness of technology-based distance interventions for promoting physical activity, using systematic review and meta-analysis. METHODS: A literature search of studies published between 2000 and 2015 was conducted in the following databases: CENTRAL, EMBASE, Ovid MEDLINE, CINAHL, PsycINFO, OTseeker, WOS and PEDro. Studies were selected according to the PICOS framework, as follows: P (population): adults; I (intervention): technology-based distance intervention for promoting physical activity; C (comparison) similar distance intervention without technology, O (outcomes) physical activity; S (study design) randomized controlled trial. Physical activity outcomes were extracted and quality was assessed by 2 independent authors. RESULTS: Eight studies were included in the meta-analysis. The mean (standard deviation; range) me thodological quality score of the studies was 6 (1.3; 4-8). Technology-based distance interventions were not more or less effective than conventional treatment whether measured as steps/day (mean difference 1,657; 95% confidence interval (95% CI) -1,861 to 5,176, p = 0.18), physical activity min/week (mean difference 0.34; 95% CI -146.3 to 146.9, p = 0.92), or as overall physical activity (response ratio 1.1; 95% CI 0.8-1.4, p = 0.65). No associations between the intervention duration or study quality and physical activity outcomes were found. Data were statistically and clinically heterogeneous. CONCLUSION: The effectiveness of technology-based distance interventions for promoting physical activity is similar to that of conventional treatment.