scholarly journals Predictors of Longterm Changes in Body Mass Index in Rheumatoid Arthritis

2015 ◽  
Vol 42 (6) ◽  
pp. 920-927 ◽  
Author(s):  
Joshua F. Baker ◽  
Grant W. Cannon ◽  
Said Ibrahim ◽  
Candace Haroldsen ◽  
Liron Caplan ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Weight Loss ◽  
Body Mass ◽  
Inflammatory Markers ◽  
Smoking Status ◽  
Active Smoking ◽  
Factors Associated ◽  
Marginal Regression ◽  
Over Time

Objective.Low body mass index (BMI) is a risk factor for poor longterm outcomes in rheumatoid arthritis (RA). The purpose of this study was to identify factors associated with longterm changes in BMI.Methods.Subjects with RA from the Veterans Affairs (VA) Rheumatoid Arthritis (VARA) Registry (n = 1474) were studied. Information on inflammatory markers, presence of erosions, and smoking status were extracted from the VARA database. BMI was extracted from VA electronic medical records within 14 days of each visit date. VA pharmacy records were queried to identify prescriptions for specific RA therapies within 1 month of the visit date. We used robust generalized estimating equations marginal regression models to calculate independent associations between clinical variables and BMI over time. Similar models determined predictors of change in weight and risk of weight loss over the subsequent study observation period.Results.Increasing age, active smoking, and the presence of erosions at baseline were associated with lower BMI. Weight decreased over time among older adults. Factors associated with greater reductions in BMI over time and a greater risk of weight loss were higher inflammatory markers, smoking, older age, higher BMI, and less subsequent improvement in inflammation. Methotrexate use was associated with a lower risk of weight loss. The use of prednisone or anti-tumor necrosis factor therapies was not associated with change in BMI or the risk of weight loss independent of other factors.Conclusion.Greater age, greater inflammatory activity, and active smoking are associated with greater weight loss in RA over time.

AB0222 Body Mass Index, Smoking Status and Response To Rituximab in Rheumatoid Arthritis: A Real Life Study

2016 ◽  
Vol 75 (Suppl 2) ◽  
pp. 974.1-974
Author(s):  
M.C. Gerardi ◽  
A. Batticciotto ◽  
M. Antivalle ◽  
S. Bongiovanni ◽  
R. Talotta ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Body Mass ◽  
Smoking Status ◽  
Real Life ◽  
Life Study ◽  
Real Life Study

scholarly journals Body Mass Index, Weight Loss, and Cause-Specific Mortality in Rheumatoid Arthritis

2017 ◽  
Vol 70 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Bryant R. England ◽  
Joshua F. Baker ◽  
Harlan Sayles ◽  
Kaleb Michaud ◽  
Liron Caplan ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Weight Loss ◽  
Body Mass ◽  
Specific Mortality ◽  
Index Weight

scholarly journals Frequency of sarcopenia and factors associated with lean mass in women with rheumatoid arthritis

2020 ◽  
Vol 92 (5) ◽  
pp. 15-21
Author(s):  
N. V. Toroptsova ◽  
O. V. Dobrovolskaya ◽  
O. A. Nikitinskaya ◽  
N. V. Demin ◽  
A. Yu. Feklistov
Keyword(s):  
Rheumatoid Arthritis ◽  
Bone Mineral Density ◽  
Body Mass Index ◽  
Muscle Strength ◽  
Body Mass ◽  
Bone Mineral ◽  
Lean Mass ◽  
Functional Disability ◽  
Mineral Density ◽  
Factors Associated

Aim. To evaluate the frequency of sarcopenia (SP) according to EWGSOP2 criteria and factors associated with low lean mass in women with rheumatoid arthritis (RA). Materials and methods. 79 women (aged 4075 years) with RA were enrolled in the study. We analyzed clinical data: age, body mass index (BMI), disease duration, methotrexate use, glucocorticoid use, anthropometric measurements, C-reactive protein level, disease activity score in 28 joints-erythrocyte sedimentation rate, bone mineral density (BMD) of the lumbar spine, femur neck, total hip and body composition by Dual energy X-ray absorptiometry. Also, muscle strength and functional tests were performed. We analyzed the correlation between disease parameters and low lean mass with the Spearman method. Results. 73 (92%) patients had low muscle strength, 20 (25%) patients had low muscle strength and low lean mass, among them 9 (11%) also had functional disability. There was no correlation between the age of patients and the presence of SP, while the duration of RA in women with SP was significantly greater (p=0.006). There were significant correlations between lean mass and body mass index, glucocorticoids used, methotrexate doses, creatinine and urea acid serum concentration, bone mineral density and falls number. Conclusion. According EWGSOP2 confirmed sarcopenia was found in 25% RA patients, among them 11% women had severe sarcopenia. Lean mass correlated with the factors related to the disease itself and some general clinical parameters, which requires further study.

scholarly journals Second-Hand Smoke and Its Synergistic Effect with A Body-Mass Index of >24.9 kg/m2 Increase the Risk of Gout Arthritis in Indonesia

2021 ◽  
Vol 18 (8) ◽  
pp. 4324
Author(s):  
Maria Dyah Kurniasari ◽  
Ferry Fredy Karwur ◽  
Rosiana Eva Rayanti ◽  
Edi Dharmana ◽  
Yohanes Andy Rias ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Synergistic Effect ◽  
Body Mass ◽  
Smoking Status ◽  
Community Health Services ◽  
Second Hand Smoke ◽  
Dependent Manner ◽  
Active Smoking ◽  
One Year ◽  
Second Hand Smoking

To analyze the association between smoking status (active smoking and exposure to Second-Hand Smoking (SHS)) and the synergistic effect of smoking status and BMI with gout risk, a community-based case-control design was undertaken among 385 participants, including 304 healthy controls and 81 gout patients from seven community health services. Adjusted Odd Ratios (AORs) and 95% Confidence Interval (CIs) of gout for active smoking and SHS were 3.26 (95% CI = 1.07~9.90) and 4.67 (95% CI = 2.18~10.00) compared to non-smokers. Time-dependent manner of active smoking and SHS significantly increased gout risk with AORs and 95% CIs of 5.95 (1.41~25.03) and 10.12 (3.51~29.14). Dose-dependency of active smokers and SHS showed AORs and 95% CIs of 5.15 (1.28~20.63) and 4.37 (1.33~14.28). Smoking 20 cigarettes (one pack) per day for one year is equivalent to one pack-year. Active smoking >20 pack-year and SHS > 26.5 pack-year increased gout risk with AORs and 95% CIs of 7.18 (1.53~33.67) and 9.95 (3.64~27.22). Participants who smoked (active smoking and SHS) and with Body Mass Index (BMI) of > 24.9 kg/m2 synergistically increased gout risk, with an AOR of 9.65 and 95% CI of 3.25~28.65, compared to BMI ≤ 24.9 kg/m2 and non-smoker. Smoking status (active smoking and SHS) and the synergistic effect of smoking status and BMI increased gout risk in Indonesia.

scholarly journals AB0074 NO DIFFERENCE BETWEEN THE SEROLOGIES OF DENTAL GERMS AND THE PHENOTYPES OF SPONDYLOARTHRITIS WITHIN THE DESIR COHORT

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1067.2-1067
Author(s):  
T. Neel ◽  
A. Tournadre ◽  
M. Paul ◽  
M. Norman ◽  
S. Paul ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Ankylosing Spondylitis ◽  
Periodontal Disease ◽  
Body Mass ◽  
Reactive Arthritis ◽  
Smoking Status ◽  
Chronic Inflammatory Bowel Disease ◽  
Control Group ◽  
Axial Spondylarthritis

Background:Porphyromonas gingivalis (PG) and Prevotella Intermedia (PI) are two oral pathogens involved in the pathophysiology of chronic periodontopathies. Several studies have determined a role of these periodontal pathologies in the pathophysiology of rheumatoid arthritis (1) while the link with spondyloarthritis is not clearly established with currently contradictory studies (2,3,4).Objectives:The purpose of this work is to investigate a link between spondylarthritis and the presence of chronic periodontopathy evaluated by PG and IP serologies.Methods:The positivity and quantity of anti-PG and anti-PI antibodies were determined by ELISA method in patients from the DESIR cohort with one of the spondyloarthritis phenotypes compared to patients with common low back pain (n=50) (population control). Patients with spondyloarthritis were classified according to the following phenotypes (diagnosis chosen at 3 years in the DESIR cohort): axial spondylarthritis (n=126), psoriatic rheumatism (n=101), spondyloarthritis associated with chronic inflammatory bowel disease (n=36), undifferentiated spondylitis (n=241), reactive arthritis (n=2), SAPHO (acronym for Synovite, Acne, Pustulose, Hyperostosis and Osteitis. Correlations between patients’ serological status, and smoking status, body mass index and age were sought.Results:According to the general characteristics, the control group was significantly older than the axial spondylarthritis (p<0.001), and the psoriatic rheumatism group had a higher body mass index than the control population (p<0.05). The positivity and concentration of anti-PG and anti-PI antibodies were similar between different groups of spondyloarthritis compared to the control group. However, the subgroups “reactive arthritis” and “SAPHO” could not be analyzed due to insufficient staffing. Smoking status and body mass index were not related to antibody concentrations, however there was a statistical correlation between anti-PG antibody concentrations and age. After adjusting on age, there was no difference between the axial spondylarthritis and control groups.Conclusion:Our results therefore suggest the absence of a link between periodontal germs involved in chronic periodontopathies and spondyloarthritis, provided that the two phenotypes involving germs in their pathophysiology could not be analyzed. Our results from a population of beginner spondylitis are therefore not in favour of the involvement of oral flora in the pathophysiology of spondyloarthritis, as is the case in rheumatoid arthritis (1). The associations found previously could therefore be favoured by a systemic inflammatory phenomenon. In conclusion, our study suggests no link between chronic periodontopathy and the occurrence of spondyloarthritis. However, the effect of chronic periodontopathy on the evolution of spondylarthritis remains to be explored.References:[1]Detert J, Pischon N, Burmester GR, Buttgereit F. The association between rheumatoid arthritis and periodontal disease. Arthritis Res Ther. 2010;12(5):218.[2]Ratz T, Dean LE, Atzeni F, Reeks C, Macfarlane GJ, Macfarlane TV. A possible link between ankylosing spondylitis and periodontitis: a systematic review and meta-analysis. Rheumatology. 2015;54(3):500-10.[3]Pischon N, Pischon T, Gülmez E, Kröger J, Purucker P, Kleber B-M, et al. Periodontal disease in patients with ankylosing spondylitis. Ann Rheum Dis. janv 2010;69(01):34-8.[4]Sezer U, Erciyas K, Pehlivan Y, Üstün K, Tarakçioğlu M, Şenyurt SZ, et al. Serum cytokine levels and periodontal parameters in ankylosing spondylitis: Ankylosing spondylitis and periodontal diseases. J Periodontal Res. juin 2012;47(3):396-401.Disclosure of Interests:None declared

Predictors of nonroutine discharge among patients undergoing surgery for grade I spondylolisthesis: insights from the Quality Outcomes Database

2020 ◽  
Vol 32 (4) ◽  
pp. 523-532 ◽  
Author(s):  
Praveen V. Mummaneni ◽  
Mohamad Bydon ◽  
John Knightly ◽  
Mohammed Ali Alvi ◽  
Anshit Goyal ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Acute Care ◽  
Body Mass ◽  
Care Facility ◽  
Older Age ◽  
Quality Outcomes ◽  
Acute Care Facility ◽  
Factors Associated ◽  
Patient Reported ◽  
The Impact

OBJECTIVEDischarge to an inpatient rehabilitation facility or another acute-care facility not only constitutes a postoperative challenge for patients and their care team but also contributes significantly to healthcare costs. In this era of changing dynamics of healthcare payment models in which cost overruns are being increasingly shifted to surgeons and hospitals, it is important to better understand outcomes such as discharge disposition. In the current article, the authors sought to develop a predictive model for factors associated with nonroutine discharge after surgery for grade I spondylolisthesis.METHODSThe authors queried the Quality Outcomes Database for patients with grade I lumbar degenerative spondylolisthesis who underwent a surgical intervention between July 2014 and June 2016. Only those patients enrolled in a multisite study investigating the impact of fusion on clinical and patient-reported outcomes among patients with grade I spondylolisthesis were evaluated. Nonroutine discharge was defined as those who were discharged to a postacute or nonacute-care setting in the same hospital or transferred to another acute-care facility.RESULTSOf the 608 patients eligible for inclusion, 9.4% (n = 57) had a nonroutine discharge (8.7%, n = 53 discharged to inpatient postacute or nonacute care in the same hospital and 0.7%, n = 4 transferred to another acute-care facility). Compared to patients who were discharged to home, patients who had a nonroutine discharge were more likely to have diabetes (26.3%, n = 15 vs 15.7%, n = 86, p = 0.039); impaired ambulation (26.3%, n = 15 vs 10.2%, n = 56, p < 0.001); higher Oswestry Disability Index at baseline (51 [IQR 42–62.12] vs 46 [IQR 34.4–58], p = 0.014); lower EuroQol-5D scores (0.437 [IQR 0.308–0.708] vs 0.597 [IQR 0.358–0.708], p = 0.010); higher American Society of Anesthesiologists score (3 or 4: 63.2%, n = 36 vs 36.7%, n = 201, p = 0.002); and longer length of stay (4 days [IQR 3–5] vs 2 days [IQR 1–3], p < 0.001); and were more likely to suffer a complication (14%, n = 8 vs 5.6%, n = 31, p = 0.014). On multivariable logistic regression, factors found to be independently associated with higher odds of nonroutine discharge included older age (interquartile OR 9.14, 95% CI 3.79–22.1, p < 0.001), higher body mass index (interquartile OR 2.04, 95% CI 1.31–3.25, p < 0.001), presence of depression (OR 4.28, 95% CI 1.96–9.35, p < 0.001), fusion surgery compared with decompression alone (OR 1.3, 95% CI 1.1–1.6, p < 0.001), and any complication (OR 3.9, 95% CI 1.4–10.9, p < 0.001).CONCLUSIONSIn this multisite study of a defined cohort of patients undergoing surgery for grade I spondylolisthesis, factors associated with higher odds of nonroutine discharge included older age, higher body mass index, presence of depression, and occurrence of any complication.

Body Mass Index Impact on Disease Activity, Clinical and Sonographic Remission Rates in Patients with Rheumatoid Arthritis

2019 ◽  
Vol 15 (3) ◽  
pp. 215-223
Author(s):  
Tanya Sapundzhieva ◽  
Rositsa Karalilova ◽  
Anastas Batalov
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Mass Index ◽  
Disease Activity ◽  
Body Mass ◽  
Normal Weight ◽  
Clinical Disease ◽  
Clinical Disease Activity ◽  
Das 28 ◽  
Remission Rates ◽  
Activity Indices

Aim: To investigate the impact of body mass index (BMI) on clinical disease activity indices and clinical and sonographic remission rates in patients with rheumatoid arthritis (RA). Patients and Methods: Sixty-three patients with RA were categorized according to BMI score into three groups: normal (BMI<25), overweight (BMI 25-30) and obese (BMI≥30). Thirty-three of them were treated with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs), and 30 with biologic DMARDs (bDMARDs). Patients underwent clinical and laboratory assessment and musculoskeletal ultrasound examination (MSUS) at baseline and at 6 months after initiation of therapy. We evaluated the rate of clinical and sonographic remission (defined as Power Doppler score (PD) = 0) and its correlation with BMI score. Results: In the csDMARDs group, 60% of the normal weight patients reached DAS28 remission; 33.3% of the overweight; and 0% of the obese patients. In the bDMARDs group, the percentage of remission was as follows: 60% in the normal weight subgroup, 33.3% in the overweight; and 15.8% in the obese. Within the csDMARDs treatment group, two significant correlations were found: BMI score–DAS 28 at 6th month, rs = .372, p = .033; BMI score–DAS 28 categories, rs = .447, p = .014. Within the bDMARDs group, three significant correlations were identified: BMI score–PDUS at sixth month, rs = .506, p =.004; BMI score–DAS 28, rs = .511, p = .004; BMI score–DAS 28 categories, rs = .592, p = .001. Sonographic remission rates at 6 months were significantly higher in the normal BMI category in both treatment groups. Conclusion: BMI influences the treatment response, clinical disease activity indices and the rates of clinical and sonographic remission in patients with RA. Obesity and overweight are associated with lower remission rates regardless of the type of treatment.

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