Incidence, risk factors and validation of the RABBIT score for serious infections in a cohort of 1557 patients with rheumatoid arthritis

Rheumatology ◽  
2020 ◽  
Author(s):  
Konstantinos Thomas ◽  
Argyro Lazarini ◽  
Evripidis Kaltsonoudis ◽  
Paraskevi V Voulgari ◽  
Alexandros A Drosos ◽  
...  

Abstract Objectives Predicting serious infections (SI) in patients with rheumatoid arthritis (RA) is crucial for the implementation of appropriate preventive measures. Here we aimed to identify risk factors for SI and to validate the RA Observation of Biologic Therapy (RABBIT) risk score in real-life settings. Methods A multi-centre, prospective, RA cohort study in Greece. Demographics, disease characteristics, treatments and comorbidities were documented at first evaluation and one year later. The incidence of SI was recorded and compared with the expected SI rate using the RABBIT risk score. Results A total of 1557 RA patients were included. During follow-up, 38 SI were recorded [incidence rate ratio (IRR): 2.3/100 patient-years]. Patients who developed SI had longer disease duration, higher HAQ at first evaluation and were more likely to have a history of previous SI, chronic lung disease, cardiovascular disease and chronic kidney disease. By multivariate analysis, longer disease duration (IRR: 1.05; 95% CI: 1.005, 1.1), history of previous SI (IRR: 4.15; 95% CI: 1.7, 10.1), diabetes (IRR: 2.55; 95% CI: 1.06, 6.14), chronic lung disease (IRR: 3.14; 95% CI: 1.35, 7.27) and daily prednisolone dose ≥10 mg (IRR: 4.77; 95% CI: 1.47, 15.5) were independent risk factors for SI. Using the RABBIT risk score in 1359 patients, the expected SI incidence rate was 1.71/100 patient-years, not different from the observed (1.91/100 patient-years; P = 0.97). Conclusion In this large real-life, prospective study of RA patients, the incidence of SI was 2.3/100 patient-years. Longer disease duration, history of previous SI, comorbidities and high glucocorticoid dose were independently associated with SI. The RABBIT score accurately predicted SI in our cohort.

2015 ◽  
Vol 75 (6) ◽  
pp. 1108-1113 ◽  
Author(s):  
J H Salmon ◽  
J E Gottenberg ◽  
P Ravaud ◽  
A Cantagrel ◽  
B Combe ◽  
...  

ObjectivesLittle data are available regarding the rate and predicting factors of serious infections in patients with rheumatoid arthritis (RA) treated with abatacept (ABA) in daily practice. We therefore addressed this issue using real-life data from the Orencia and Rheumatoid Arthritis (ORA) registry.MethodsORA is an independent 5-year prospective registry promoted by the French Society of Rheumatology that includes patients with RA treated with ABA. At baseline, 3 months, 6 months and every 6 months or at disease relapse, during 5 years, standardised information is prospectively collected by trained clinical nurses. A serious infection was defined as an infection occurring during treatment with ABA or during the 3 months following withdrawal of ABA without any initiation of a new biologic and requiring hospitalisation and/or intravenous antibiotics and/or resulting in death.ResultsBaseline characteristics and comorbidities: among the 976 patients included with a follow-up of at least 3 months (total follow-up of 1903 patient-years), 78 serious infections occurred in 69 patients (4.1/100 patient-years). Predicting factors of serious infections: on univariate analysis, an older age, history of previous serious or recurrent infections, diabetes and a lower number of previous anti-tumour necrosis factor were associated with a higher risk of serious infections. On multivariate analysis, only age (HR per 10-year increase 1.44, 95% CI 1.17 to 1.76, p=0.001) and history of previous serious or recurrent infections (HR 1.94, 95% CI 1.18 to 3.20, p=0.009) were significantly associated with a higher risk of serious infections.ConclusionsIn common practice, patients treated with ABA had more comorbidities than in clinical trials and serious infections were slightly more frequently observed. In the ORA registry, predictive risk factors of serious infections include age and history of serious infections.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Natalia Chu-Oi Ciang ◽  
Shirley Chiu Wai Chan ◽  
Chak Sing Lau ◽  
Eva Tsz Fung Chiu ◽  
Ho Yin Chung

Abstract Background/ objective Tuberculosis (TB) is one of the most infectious comorbidities in spondyloarthritis (SpA). Our goals were to determine the crude incidence rate of and risk factors for TB in SpA. Method Clinical data of 2984 patients with SpA from 11 rheumatology centres were reviewed. This included demographics, duration of follow-up, comorbidities including diabetes, chronic kidney disease, chronic heart disease, chronic lung disease, stroke and malignancies, date of diagnosis of tuberculosis, use of non-steroidal anti-inflammatory drugs, duration of glucocorticoid therapy for more than 6 months, conventional (cDMARD) and biological (bDMARD) disease modifying anti-rheumatic drug therapies. Crude incidence rates were reported. Cox regression models were used to determine the risk factors for TB in patients with SpA. Results Forty-three patients had TB, of which 4 (9.3%) were extra-pulmonary. The crude incidence rate of TB was 1.57 in patients with SpA, compared with 0.58 in the general population in Hong Kong. Independent risk factors identified from the multivariate Cox regression model were: alcohol use (HR 2.62; p = 0.03), previous TB (HR 13.62; p < 0.001), chronic lung disease (HR 3.39; p = 0.004), duration of glucocorticoid therapy greater than 6 months (HR 3.25; p = 0.01) and infliximab therapy (HR 5.06; p < 0.001). Age was associated with decreased risk (HR 0.93; p < 0.001). Conclusion Incidence of TB was higher in patients with SpA. Glucocorticoid therapy beyond 6 months and infliximab therapy increased the risk of TB. Rheumatologists should avoid prolonged use of glucocorticoids and consider DMARDs other than infliximab in the treatment of at-risk patients.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 322-322
Author(s):  
B. Samhouri ◽  
R. Vassallo ◽  
S. Achenbach ◽  
V. Kronzer ◽  
J. M. Davis ◽  
...  

Background:Rheumatoid arthritis (RA) is a systemic inflammatory disease of the joints and other organs, including the lungs.1 Interstitial lung disease (ILD) is a lung injury pattern associated with significant symptom burden and poor outcomes in RA.2 Better understanding of its risk factors could help with disease prevention and treatment.Objectives:Using a population-based cohort, we sought to ascertain the incidence and risk factors of RA-associated ILD (RA-ILD) in recent years.Methods:The study included adult residents of Olmsted County, Minnesota with incident RA between 1999 and 2014 based on the 1987 ACR classification criteria.3 Study subjects were followed until death, migration, or 4/30/2019. ILD was defined by the presence of bilateral interstitial fibrotic changes (excluding biapical scarring) on chest computed tomography (CT). In the absence of chest CT imaging, a physician’s diagnosis of ILD in conjunction with chest X-ray findings suggestive of ILD and a restrictive pattern on pulmonary function testing (defined as a total lung capacity less than the lower limit of normal) was considered diagnostic of ILD. Evaluated risk factors included age, sex, calendar year, smoking status, body mass index (BMI) and presence/absence of rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA). Cumulative incidence of ILD was adjusted for the competing risk of death. Cox models were used to assess the association between potential risk factors and the development of RA-ILD.Results:In Olmsted County, 645 residents were diagnosed with RA between 1999 and 2014. Seventy percent of patients were females, and 30% were males; median age at RA diagnosis was 55.3 [IQR 44.1-66.6] years, and most patients (89%) were white. Fifty-three percent of patients were never-smokers, and 64% had seropositive RA. Forty percent were obese (i.e., BMI ≥30 kg/m2); median BMI was 28.3 [IQR 24.3-33.0] kg/m2.In the cohort, ILD was identified in 73 patients. The ILD diagnosis predated RA diagnosis in 22 patients (3.4%) who were excluded from subsequent analyses. Final analyses included the remaining 623 patients with no ILD preceding, or at the time of RA diagnosis. Over a median follow-up interval of 10.2 [IQR 6.5-14.3] years, 51 patients developed ILD. Cumulative incidence of ILD, adjusted for the competing risk of death, was 4.3% at 5 years; 7.8% at 10 years; 9.4% at 15 years; and 12.3% at 20 years after RA diagnosis (Figure 1).Age, and history of smoking at RA diagnosis correlated with the incidence of ILD; adjusted hazard ratios (HRs) were 1.89 per 10-year increase in age (95% confidence interval 1.52-2.34) and 1.94 (95% confidence interval 1.10-3.42), respectively. On the other hand, sex (HR: 1.21; 95% CI: 0.68-2.17), BMI (HR: 0.99; 95% CI: 0.95-1.04), obesity (HR: 0.89; 95% CI: 0.50-1.58), and seropositivity (HR: 1.15; 95% CI: 0.65-2.03) did not demonstrate significant associations with ILD.Conclusion:This study provides a contemporary estimate of the occurrence of ILD in a well-characterized population-based cohort of patients with RA. Our findings of a lack of association between sex, obesity and seropositivity with ILD may indicate a change in established risk factors for ILD and warrant further investigation.References:[1]Shaw M, Collins BF, Ho LA, Raghu G. Rheumatoid arthritis-associated lung disease. Eur Respir Rev. 2015;24(135):1-16. doi:10.1183/09059180.00008014[2]Bongartz T, Nannini C, Medina-Velasquez YF, et al. Incidence and mortality of interstitial lung disease in rheumatoid arthritis - A population-based study. Arthritis Rheum. 2010;62(6):1583-1591. doi:10.1002/art.27405[3]Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62(9):2569-2581. doi:10.1002/art.27584Figure 1.Cumulative incidence of ILD in patients diagnosed with RA between 1999 and 2014, adjusted for the competing risk of death. Abbreviations. ILD: interstitial lung disease; RA: rheumatoid arthritis.Disclosure of Interests:Bilal Samhouri: None declared, Robert Vassallo Grant/research support from: Research grants from Pfizer, Sun Pharmaceuticals and Bristol Myers Squibb, Sara Achenbach: None declared, Vanessa Kronzer: None declared, John M Davis III Grant/research support from: Research grant from Pfizer., Elena Myasoedova: None declared, Cynthia S. Crowson: None declared


Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Malika A Swar ◽  
Marwan Bukhari

Abstract Background/Aims  Osteoporosis (OP) is an extra-articular manifestation of rheumatoid arthritis (RA) that leads to increased fracture susceptibility due to a variety of reasons including immobility and cytokine driven bone loss. Bone loss in other populations has well documented risk factors. It is unknown whether bone loss in RA predominantly affects the femoral neck or the spine. This study aimed to identify independent predictors of low bone mineral density (BMD) in patients RA at the lumbar spine and the femoral neck. Methods  This was a retrospective observational cohort study using patients with Rheumatoid arthritis attending for a regional dual X-ray absorptiometry (DEXA) scan at the Royal Lancaster Infirmary between 2004 and 2014. BMD in L1-L4 in the spine and in the femoral neck were recorded. The risk factors investigated were steroid use, family history of osteoporosis, smoking, alcohol abuse, BMI, gender, previous fragility fracture, number of FRAX(tm) risk factors and age. Univariate and Multivariate regression analysis models were fitted to explore bone loss at these sites using BMD in g/cm2 as a dependant variable. . Results  1,527 patients were included in the analysis, 1,207 (79%) were female. Mean age was 64.34 years (SD11.6). mean BMI was 27.32kg/cm2 (SD 5.570) 858 (56.2%) had some steroid exposure . 169(11.1%) had family history of osteoporosis. fragility fracture history found in 406 (26.6%). 621 (40.7%) were current or ex smokers . There was a median of 3 OP risk factors (IQR 1,3) The performance of the models is shown in table one below. Different risk factors appeared to influence the BMD at different sites and the cumulative risk factors influenced BMD in the spine. None of the traditional risk factors predicted poor bone loss well in this cohort. P129 Table 1:result of the regression modelsCharacteristicB femoral neck95% CIpB spine95%CIpAge at scan-0.004-0.005,-0.003&lt;0.01-0.0005-0.002,0.00050.292Sex-0.094-0.113,-0.075&lt;0.01-0.101-0.129,-0.072&lt;0.01BMI (mg/m2)0.0080.008,0.0101&lt;0.010.01130.019,0.013&lt;0.01Fragility fracture-0.024-0.055,0.0060.12-0.0138-0.060,0.0320.559Smoking0.007-0.022,0.0350.650.0286-0.015,0.0720.20Alcohol0.011-0.033,0.0 5560.620.0544-0.013,0.1120.11Family history of OP0.012-0.021,0.0450.470.0158-0.034,0.0650.53Number of risk factors-0.015-0.039,0.0080.21-0.039-0.075,-0.0030.03steroids0.004-0.023,0.0320.030.027-0.015,0.0690.21 Conclusion  This study has shown that predictors of low BMD in the spine and hip are different and less influential than expected in this cohort with RA . As the FRAX(tm) tool only uses the femoral neck, this might underestimate the fracture risk in this population. Further work looking at individual areas is ongoing. Disclosure  M.A. Swar: None. M. Bukhari: None.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 973-973
Author(s):  
R. Gonzalez Mazario ◽  
J. J. Fragio-Gil ◽  
P. Martinez Calabuig ◽  
E. Grau García ◽  
M. De la Rubia Navarro ◽  
...  

Background:Cardiovascular disease (CV) is the most frequent cause of death in rheumatoid arthritis (RA) patients. It is well known that RA acts as an independent cardiovascular risk factor.Objectives:To assess the CV risk in RA patients using carotid ultrasonography (US) additionally to the traditional CV risk factors.Methods:A prospective transversal case control study was performed, including adult RA patients who fulfilled ACR/EULAR 2010 criteria and healthy controls matched according to CV risk factors. Population over 75 years old, patients with established CV disease and/or chronic kidney failure (from III stage) were excluded. The US evaluator was blinded to the case/control condition and evaluated the presence of plaques and the intima-media thickness. Statistical analysis was performed with R (3.6.1 version) and included a multivariate variance analysis (MANOVA) and a negative binomial regression adjusted by confounding factors (age, sex and CV risk factors).Results:A total of 200 cases and 111 healthy controls were included in the study. Demographical, clinical and US data are exposed in table 1. Not any difference was detected in terms of CV risk factors between the cases and controls. In both groups a relationship between age, BMI and high blood pressure was detected (p<0.001).Table 1.Table 2.RA basal characteristicsDisease duration (years)16,98 (11,38)Erosions (X-Ray of hands/feet)163 (81,5%)Seropositive (RF/anti-CCP)146 (73%)Extra-articular symptoms44 (22%)Intersticial difusse lung disease10 (5%)Rheumatoid nodules14 (7%)Prednisone use103 (51,5%)Median dose of Prednisone last year (mg)2,34 (2,84)sDMARDsMethotrexate104 (52%)Leflunomide29 (14,5%)Hydroxycloroquine9 (4,5%)bDMARDs89 (44,5%) TNFi41 (20,5%) Abatacept15 (7,5%) IL6i22 (11%) RTX11 (5,5%)JAKi26 (13%) Baricitinib11 (5,5%) Tofacitinib15 (7,5%)DAS 28-ESR3,1 (2,3, 3,9)SDAI7,85 (4,04, 13,41)HAQ0,88 (0,22, 1,5)RF (U/mL)51 (15, 164,25)Anti-CCP (U/mL)173 (22, 340)Patients showed higher intima-media (both right and left) thickness compared to controls (p<0.006). Moreover it was also related to the disease duration and DAS28 score (p<0.001). A higher plaque account was noted in cases(p<0.004) and it was also related to the disease duration (p<0.001).Conclusion:RA implies a higher CV risk. Traditional CV risk factors explains only partially the global risk. These findings support that RA acts as an independent cardiovascular risk factor.Disclosure of Interests:None declared


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 954.3-954
Author(s):  
S. Okita ◽  
H. Ishikawa ◽  
A. Abe ◽  
S. Ito ◽  
A. Murasawa ◽  
...  

Background:It has been suggested that perioperative use of biological disease-modifying anti-rheumatic drugs (bDMARDs) in rheumatoid arthritis (RA) patients carries risks for the surgical-site infection and the delayed wound healing (DWH); however, the risk of DWH with perioperative use of bDMARDs has not reached a general consensus.Objectives:This retrospective study aimed to investigate the risk factors associated with DWH after orthopedic surgery in RA patients treated with bDMARDs.Methods:We reviewed medical records of 277 orthopedic procedures for 188 RA patients treated with bDMARDs between from 2014 to 2017 in Niigata Rheumatic Center. As preoperative nutritional status assessment, we evaluated body mass index (BMI), prognostic nutritional index (PNI), and CONtrolling NUTritional status (CONUT). In addition, we evaluated DAS28-CRP, DAS28-ESR, face scale for pain, global health (GH), and Health Assessment Questionnaire-Disability Index (HAQ-DI) to assess the disease activity. Univariate and multivariate logistic regression analyses were performed to evaluate the risk factor for DWH.Results:The major characteristics of the patients in 277 procedures were mean age of 63.2 years old and mean disease duration of 18.2 years. Surgical site were hand and wrist (145 procedures), foot and ankle (76), hip and knee (31), elbow and shoulder (24), and spine (1). Seventy-four patients were treated with tocilizumab, 62 with etanercept, 55 with golimumab, 49 with abatacept, 16 with infliximab, 15 with adalimumab, and 6 with certolizumab. According to nutritional assessment in PNI and CONUT, 63% (n=175) and 47% (n=130) were normal nourished patients, respectively.In 277 procedures, DWH were identified in 24 patients (8.6%). The following variables were significant in the univariate analyses: disease duration (OR 1.053; 95% CI 1.010–1.099; p=0.016), foot and ankle surgery (OR 7.091; 95% CI 2.130–23.603; p=0.001), tocilizumab (OR 0.286; 95% CI 0.093–0.881; p=0.029) (Table 1). These variables were entered into a multivariate model, and it was revealed that pre-operative use of tocilizumab (OR 0.265; 95% CI 0.074–0.953; p=0.042) and procedures in the foot and ankle (OR 6.915; 95% CI 1.914–24.976; p=0.003) were associated with an increased risk of DWH (Table 1).Conclusion:As previous study on tocilizumab described, the current retrospective study suggested that pre-operative use of tocilizumab and procedures in the foot and ankle were risk factors for DWH. Pre-operative disease activity and nutritional status were not independent risk factors for an increase in the prevalence of DWH.References:[1] Momohara S, Hashimoto J, Tsuboi H et al. Analysis of perioperative clinical features and complications after orthopaedic surgery in rheumatoid arthritis patients treated with tocilizumab in a real-world setting: Results from the multicentre tocilizumab in perioperative period (TOPP) study. Modern rheumatology. 2013, 23: 440-9.Disclosure of Interests:Shunji Okita: None declared, Hajime Ishikawa: None declared, Asami Abe: None declared, Satoshi Ito Speakers bureau: Abbvie,Eisai, Akira Murasawa: None declared, Keiichiro Nishida Grant/research support from: K. Nishida has received scholarship donation from CHUGAI PHARMACEUTICAL Co., Eisai Co., Mitsubishi Tanabe Pharma and AbbVie GK., Speakers bureau: K. Nishida has received speaking fees from CHUGAI PHARMACEUTICAL Co., Eli Lilly, Janssen Pharmaceutical K.K., Eisai Co. and AYUMI Pharmaceutical Corporation., Toshifumi Ozaki: None declared


2021 ◽  
pp. 136-139
Author(s):  
K. Anbananthan ◽  
A. Manimaran ◽  
A. Ramasamy ◽  
S. A. Natesh ◽  
AnuSree. S. C

Background: COVID-19 is a viral infectious disease caused by the SARS CoV-2 virus which causes severe respiratory distress in a certain number of patients with specic risk factors. This study compares the mortality risk factors of COVID 19 and Severe Acute Respiratory Infection (SARI) deaths and also determines the most likely causes that lead to such a poor prognosis Objectives: To evaluate the risk factors of COVID 19 and SARI causing mortality. To compare the most likely risk factors that lead to such a poor prognosis Materials And Methods: This was a Cross sectional study done on 190 patients which includes all cases of covid 19 and SARI deaths within the peak of pandemic period (August 2020). Patient datas were collected from MRD registry at Thanjavur Medical College. Results: Among the study population of 190, age distribution of the patients died due to covid-19 was minimum 26 years to maximum 89 years and mean age of 61years. Most commonly affected were in the age around 60years. Distribution of male is around 72.1%.This study showed 47.9% were covid positive and 42.1% were suspected based on CT chest nding and clinical features. Around 84.7% were diabetic and 56.3% were hypertensive. There is no signicant difference between the exposure rate of diabetes, hypertension, CKD, chronic lung disease, cerebrovascular disease, liver disease, malignancy among covid and SARI group. Among these study population 94.7% had elevated d-dimer level. Conclusion: This study showed various comorbidities, complications, and demographic variables including diabetes, hypertension, chronic kidney disease,, chronic lung disease,liver disease, Cerebrovascular disease, cancer, increased D-dimer, male gender, older age(>50), smoking, and obesity are clinical risk factors for a fatal outcome associated with COVID 19.


2018 ◽  
Vol 28 (8) ◽  
pp. 543-548 ◽  
Author(s):  
Lisa D. Gardner ◽  
Christopher A. Loffredo, PhD ◽  
Patricia Langenberg ◽  
Diane Marie St. George ◽  
Janaki Deepak ◽  
...  

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