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14. Diagnostic delay in axial spondyloarthritis: a systematic review and meta-analysis

Author

Zhao, Sizheng, Pittam, Bradley, Harrison, Nicholas L, Ahmed, Ashar E, Nursiah, Karishma, Goodson, Nicola J, and Hughes, David M

Subjects
Male, Ankylosing spondylitis, Pediatrics, medicine.medical_specialty, Delayed Diagnosis, business.industry, Arthritis, Psoriatic, MEDLINE, medicine.disease, Confidence interval, Psoriatic arthritis, Pooled variance, Rheumatology, Quality of life, Meta-analysis, Spondylarthritis, Medicine, Humans, Pharmacology (medical), Female, Spondylitis, Ankylosing, Age of onset, business
Abstract

Background Delay to diagnosis in axial SpA (axSpA) is longer than in many other rheumatic diseases. Prolonged delay is associate with poorer outcomes, including functional impairment and quality of life. Our aims were to describe global variation in delay to diagnosis, factors associated with delay, and delay compared with PsA. Methods We searched MEDLINE, PubMed, Embase and Web of Science using a predefined protocol. Diagnostic delay was defined as years between the age at symptom onset and at diagnosis. We pooled the mean delay using random effects inverse variance meta-analysis. We examined variations in pooled estimates using prespecified subgroup analyses and sources of heterogeneity using meta-regression. Results A total of 64 studies reported the mean diagnostic delay in axSpA patients. The pooled mean delay was 6.7 years (95% CI 6.2, 7.2) with high levels of heterogeneity. Delay to diagnosis did not improve over time when stratifying results by year of publication. Studies from high-income countries (defined by the World Bank) reported longer delays than those from middle-income countries. Factors consistently reported to be associated with longer delays were lower education levels, younger age at symptom onset and absence of extra-articular manifestations (EAMs). The pooled estimate for diagnostic delay from 8 PsA studies was significantly shorter, at 2.6 years (95% CI 1.6, 3.6). Conclusion For axSpA patients, delay to diagnosis remains unacceptably prolonged in many parts of the world. Patient factors (e.g. education) and disease presentation (onset age and EAMs) should inform campaigns to improve delay.

Published
2020

19. Inflammatory Bowel Disease Risk in Patients With Axial Spondyloarthritis Treated With Biologic Agents Determined Using the BSRBR-AS and a MetaAnalysis

Author

Macfarlane, Gary J., Biallas, Renke, Dean, Linda E., Jones, Gareth T., Goodson, Nicola J., and Rotariu, Ovidiu

Abstract

ObjectiveTo determine, among patients with axial spondyloarthritis (axSpA), whether the risk of inflammatory bowel disease (IBD) varies between patients treated with biologic therapies and those treated with other therapies and, specifically, whether the risk is higher in patients treated with etanercept (ETN).MethodsThe British Society for Rheumatology Biologics Register in Ankylosing Spondylitis (BSRBR-AS) was used to determine the incidence of IBD during follow-up and to calculate the incidence rate difference (IRD) per 1000 person-years (PY), between biologic treatment and other treatment groups. We then conducted a systematic review, involving observational studies and randomized controlled trials (RCTs), to perform a metaanalysis to quantify the difference in incidence of IBD between treatment groups.ResultsAccording to the BSRBR-AS, among people with axSpA, exposure to biologic therapy was associated with an increased incidence of IBD compared to those who were not exposed to biologic therapy (IRD 11.9, 95% CI 4.3-19.6). This finding was replicated across observational studies but was not seen in placebo-controlled RCTs (IRD 2.2, 95% CI −4.1 to 8.5). Data from the BSRBR-AS do not suggest that excess incidence of IBD is associated with exposure to ETN compared to other anti–tumor necrosis factor (TNF) therapies (IRD −6.5, 95% CI −21.3 to 8.5). RCTs and their extensions suggest a small—yet not statistically significant—absolute increased incidence associated with ETN of between 2.1 and 5.8 per 1000 PY compared to other anti-TNF therapies.ConclusionThere was an excess risk of IBD among persons treated with biologics in observational studies. Only evidence from RCTs suggested that ETN was associated with an increased risk compared to other anti-TNF therapies, albeit with considerable uncertainty.

Published
2023
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28. Contributors

Author

Bennell, Kim, primary, Berenbaum, Francis, additional, Chen, Lan X., additional, Dougados, Maxime, additional, Garnero, Patrick, additional, Goldring, Mary B., additional, Goodson, Nicola J., additional, Hinman, Rana S., additional, Lajeunesse, Daniel, additional, and Le Graverand, Marie-Pierre Hellio, additional

Published
2007
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33. Increased risk of hypertension associated with spondyloarthritis disease duration: results from the ASAS-COMOSPA study

Author

Derakhshan, Mohammad H., Goodson, Nicola J., Packham, Jonathan C., Sengupta, Raj, Molto, Anna, Marzo-Ortega, Helena, and Siebert, Stefan

Abstract

Objective: Spondyloarthritis (SpA) is associated with a number of cardiovascular (CV) comorbidities. We examined the association of SpA disease duration and delay in diagnosis with CV-related conditions.\ud \ud Methods: Using data from the COMOSPA study, the associations between SpA disease duration and CV-related conditions were evaluated in univariable and multivariable logistic regression models. Each model examined 1 CV-related factor as dependent and “SpA disease duration” as a predictor, adjusted for relevant confounders.\ud \ud Results: Data from 3923 subjects (median SpA disease duration 5.1 yrs, interquartile range 1.3–11.8 yrs) were available for analysis. The main CV-related conditions were hypertension (HTN; 22.4%), ischemic heart disease (2.6%), stroke (1.3%), and diabetes mellitus (5.5%). HTN was associated with SpA disease duration in both univariable and multivariable analysis, with an OR of 1.129 (95% CI 1.072–1.189; p < 0.001) for each 5-year increase in SpA disease duration. Other factors associated with HTN were age, male sex, current body mass index, ever steroid therapy, and ever synthetic disease-modifying antirheumatic drug therapy, but not nonsteroidal antiinflammatory drugs (NSAID). In subgroup analysis, the strongest association of HTN and disease duration was seen in subjects with the axial-only SpA phenotype (OR 1.202, 95% CI 1.053–1.372) but not in those with peripheral-only SpA (OR 0.902, 95% CI 0.760–1.070). The other CV conditions were not associated with SpA disease duration.\ud \ud Conclusion: Duration of SpA disease in the ASAS-COMOSPA cohort is associated with higher odds of HTN, particularly in those with axial disease, but not with other CV-related conditions. The association with HTN does not appear to be related to NSAID exposure.

Published
2019

36. association between increased body mass index and response to conventional synthetic disease-modifying anti-rheumatic drug treatment in rheumatoid arthritis: results from the METEOR database.

Author

Dey, Mrinalini, Zhao, Sizheng S, Moots, Robert J, Bergstra, Sytske Anne, Landewe, Robert B, and Goodson, Nicola J

Subjects
REPORTING of diseases, COMBINATION drug therapy, REGRESSION analysis, ANTIRHEUMATIC agents, TREATMENT effectiveness, METHOTREXATE, RISK assessment, PRE-tests & post-tests, RHEUMATOID arthritis, BODY mass index, LOGISTIC regression analysis, DISEASE remission
Abstract

Background Few data exist on the association between increased BMI and response to conventional synthetic DMARDs (csDMARDs) in RA. We aimed to explore the association between increased (overweight or obese) BMI on csDMARD prescribing, MTX dose and disease activity over 12 months. Methods Participants in an international RA database were stratified into early (<1 year post-diagnosis) and established RA. EULAR response, 28-joint DAS (DAS28) remission and treatments were recorded at baseline, 6 months and 12 months. Increased BMI was explored in early and established RA as predictors of good EULAR response, DAS28 remission, number of csDMARDs and MTX dose, using logistic and linear regression. Results Data from 1313 patients, 44.3% with early RA, were examined. In early RA, increased BMI was not significantly associated with remission. In established RA, obese patients on monotherapy were significantly less likely to achieve good EULAR response or DAS28 remission at 6 months and more likely to be treated with combination csDMARDs compared with normal BMI. In patients taking MTX, overweight and obese patients with early and established RA were exposed to higher MTX doses (mono- and combination therapy), with a mean dose of 20 mg/week, compared with 15 mg/week in those of normal BMI. Conclusion We observed that compared with patients with normal BMI, overweight and obese individuals experienced more intensive csDMARD exposures. Similar response rates were observed in early RA but increased BMI was associated with reduced response in established RA. Optimization of targeted RA treatment remains important, particularly in those with increased BMI where response in established disease may be attenuated. [ABSTRACT FROM AUTHOR]

Published
2022
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38. Comorbidity and response to TNF inhibitors in axial spondyloarthritis: longitudinal analysis of the BSRBR-AS.

Author

Zhao, Sizheng Steven, Jones, Gareth T, Macfarlane, Gary J, Hughes, David M, Moots, Robert J, and Goodson, Nicola J

Subjects
CLINICAL drug trials, DRUG efficacy, ACQUISITION of data methodology, CONFIDENCE intervals, ANKYLOSING spondylitis, ANTI-inflammatory agents, RETROSPECTIVE studies, BACKACHE, SEVERITY of illness index, COMPARATIVE studies, MEDICAL records, QUALITY of life, DESCRIPTIVE statistics, PATIENT compliance, ODDS ratio, COMORBIDITY, PROPORTIONAL hazards models, EVALUATION
Abstract

Objective Comorbidities influence disease assessment in axial spondyloarthritis (axSpA), but their association with response to TNF inhibitors (TNFi) is unclear. We examined associations between comorbidity history at TNFi initiation and: (i) change in disease indices over time; (ii) binary response definitions; and (iii) time to treatment discontinuation. Methods We studied participants starting their first TNFi from a national axSpA register. Comorbidity categories were created from 14 physician-diagnosed conditions and compared against: change in disease indices over time using linear mixed effects models; BASDAI50/2 (50% or 2-unit reduction) and BASDAI < 4 at 6 months using logistic models; and time to treatment discontinuation using Cox models. Models were adjusted for age, gender, BMI, deprivation and education. Results In total, 994 were eligible for analysis (68% male, mean age 45 years); 21% had one comorbidity and 11% had ≥2. Baseline disease severity was higher in those with comorbidities across all indices, but absolute improvement over time was comparable for BASDAI and spinal pain. Participants with ≥2 comorbidities had smaller absolute improvement in BASFI and quality of life. This group also had numerically reduced odds of achieving BASDAI50/2 [odds ratio (OR) 0.81; 95% CI: 0.45, 1.45] and BASDAI < 4 (OR 0.57; 95% CI: 0.32, 1.04). Treatment discontinuation was increased in those with two comorbidities [hazard ratio (HR) 1.32; 95% CI: 0.88, 2.00] and ≥3 comorbidities (HR 2.18; 95% CI: 1.20, 3.93) compared with none. Conclusions Participants with multiple comorbidities had poorer treatment outcomes, particularly increased treatment discontinuation and poorer improvements in function and quality of life. These results inform clinicians and educate patients about response to the first TNFi given comorbidity burden. [ABSTRACT FROM AUTHOR]

Published
2021
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39. The impact of smoking on response to TNF inhibitors in axial spondyloarthritis: methodological considerations for longitudinal observational studies

Author

Zhao, Sizheng, Yoshida, Kazuki, Jones, Gareth T, Hughes, David M, Tedeschi, Sara K, Lyu, Houchen, Moots, Robert J, Solomon, Daniel H, and Goodson, Nicola J

Subjects
Adult, Male, Smoking, Middle Aged, Severity of Illness Index, Article, United Kingdom, Treatment Outcome, Antirheumatic Agents, Spondylarthritis, Humans, Female, Tumor Necrosis Factor Inhibitors, Longitudinal Studies, Registries
Abstract

Observational data facilitate examination of treatment-effect heterogeneity, but the risk of bias is substantial. The present study was undertaken to highlight methodologic considerations through an analysis of whether smoking affects response to tumor necrosis factor inhibitors (TNFi) in axial spondyloarthritis (SpA).We used longitudinal data from the British Society for Rheumatology Biologics Register for Ankylosing Spondylitis. Participants fulfilling the Assessment of SpondyloArthritis international Society criteria for axial SpA who started their first TNFi were eligible for analysis. In comparing the impact of smoking status, weighted generalized estimating equations were used to examine changes in several continuous outcome measures, including the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and the Ankylosing Spondylitis Disease Activity Score (ASDAS). Inverse probability weights were used to account for differences in baseline covariates and excluded participants. We separately assessed response in the first 3 months to account for nonrandom dropout.For 840 participants who started on TNFi, 1,641 assessments from 627 individuals were analyzed (69% male, mean age 46 years). A total of 33% were current smokers and 30% ex-smokers. Ex-smokers and current smokers had worse disease than never smokers at baseline. Accounting for these differences, response did not differ according to smoking status. Compared to never smokers, ex-smokers (β = -0.6, 95% confidence interval [95% CI] -1.4, 0.3) and current smokers (β = -0.4, 95% CI -1.1, 0.4) had a similar response according to the BASDAI and ASDAS (ex-smokers β = -0.1, 95% CI -0.5, 0.3; current smokers β = -0.01, 95% CI -0.4, 0.4) at 3 months.TNFi response did not differ according to baseline smoking status in this UK cohort. Conflicting results from previous studies were likely due to methodologic differences. This analysis highlights potential sources of bias that should be addressed in future studies.

Published
2019

48. Association between comorbidities and disease activity in axial spondyloarthritis: results from the BSRBR-AS.

Author

Zhao, Sizheng Steven, Jones, Gareth T, Macfarlane, Gary J, Hughes, David M, Moots, Robert J, and Goodson, Nicola J

Subjects
CONFIDENCE intervals, BACKACHE, SOCIOECONOMIC factors, SEX distribution, RHEUMATOID arthritis, SYMPTOMS, MENTAL depression, BODY mass index, PEPTIC ulcer, SMOKING, COMORBIDITY, HEART failure, EDUCATIONAL attainment
Abstract

Objective Whether comorbidities influence disease activity assessment in axial SpA (axSpA) is unclear. Comorbidities inflate DAS28 in rheumatoid arthritis through the patient global score. We examined whether axSpA disease activity measures are differentially affected, and whether comorbidities inflate the AS disease activity score (ASDAS) through the patient global component. Methods We used baseline data from the British Society for Rheumatology Biologics Register for AS, including 14 physician diagnosed comorbidities. Linear models were used to compare disease activity (BASDAI, spinal pain, ASDAS) and ESR/CRP according to comorbidity count, adjusted for age, gender, BMI, smoking, socioeconomic status, and education. The same models were used to examine whether the patient global score was associated with comorbidities, additionally adjusting for other ASDAS components. Results The number of participants eligible for analysis was 2043 (67% male, mean age 49 years); 44% had at least one comorbidity. Each additional comorbidity was associated with higher BASDAI by 0.40 units (95% CI: 0.27, 0.52) and spinal pain by 0.53 (95% CI: 0.37, 0.68). Effect size for ASDAS (0.09 units; 95% CI: 0.03, 0.15) was not clinically significant. ESR and CRP were not associated with comorbidity count. Depression, heart failure and peptic ulcer were consistently associated with higher disease activity measures, but not CRP/ESR. Patient global was associated with comorbidity count, but not independently of other ASDAS components (P  = 0.75). Conclusion Comorbidities were associated with higher patient reported disease activity in axSpA. Clinicians should be mindful of the potential impact of comorbidities on patient reported outcome measures and consider additionally collecting ASDAS when comorbidities are present. [ABSTRACT FROM AUTHOR]

Published
2021
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49. Basic science232. Certolizumab pegol prevents pro-inflammatory alterations in endothelial cell function

Author

Heathfield, Sarah, Parker, Ben, Zeef, Leo, Bruce, Ian, Alexander, Yvonne, Collins, Fraser, Stone, Michael, Wang, Edward, Williams, Anwen S., Wright, Helen L., Thomas, Huw B., Moots, Robert J., Edwards, Steven W., Bullock, Craig, Chapman, Victoria, Walsh, David A., Mobasheri, Ali, Kendall, David, Kelly, Sara, Bayley, Rachel, Buckley, Chris D., Young, Stephen P., Rump-Goodrich, Lisa, Middleton, Jim, Chen, Liye, Fisher, Roman, Kollnberger, Simon, Shastri, Nilabh, Kessler, Benedikt M., Bowness, Paul, Nazeer Moideen, Abdul, Evans, Laura, Osgood, Louise, Jones, Simon A., Nowell, Mari A., Mahadik, Younis, Young, Stephen, Morgan, Matthew, Gordon, Caroline, Harper, Lorraine, Giles, Joanna L., Paul Morgan, B., Harris, Claire L., Rysnik, Oliwia J., McHugh, Kirsty, Payeli, Sravan, Marroquin, Osiris, Shaw, Jacqueline, Renner, Christoph, Nayar, Saba, Cloake, Tom, Bombardieri, Michele, Pitzalis, Costantino, Buckley, Chris, Barone, Francesca, Lane, Peter, Coles, Mark, Williams, Emma L., Edwards, Christopher J., Cooper, Cyrus, Oreffo, Richard O., Dunn, Sara, Crawford, Aileen, Wilkinson, Mark, Le Maitre, Christine, Bunning, Rowena, Daniels, Jodie, Phillips, Kate L. E., Chiverton, Neil, Le Maitre, Christine L., Shaw, Jackie, Ridley, Anna, Wong-Baeza, Isabel, Keidel, Sarah, Chan, Antoni, Gullick, Nicola J., Abozaid, Hanan S., Jayaraj, David M., Evans, Hayley G., Scott, David L., Choy, Ernest H., Taams, Leonie S., Hickling, M., Golor, G., Jullion, A., Shaw, S., Kretsos, K., Bari, Syed F., Rhys-Dillon, Brian, Amos, Nicholson, Siebert, Stefan, Bunning, Rowena D., Haddock, Gail, Cross, Alison K., Kate, I., Phillips, E., Cross, Alison, Bunning, Rowena A. D., Ceeraz, Sabrina, Spencer, Jo, Choy, Ernest, Corrigall, Valerie, Crilly, Anne, Palmer, Helen, Lockhart, John, Plevin, Robin, Ferrell, William R., McInnes, Iain, Hutchinson, David, Perry, Liz, DiCicco, Maria, Humby, Frances, Kelly, Stephen, Hands, Rebecca, McInnes, Ian, Taylor, Peter, Mehta, Puja, Mitchell, Adam, Tysoe, Carolyn, Caswell, Richard, Owens, Martina, Vincent, Tonia, Hashmi, Tahir M., Price-Forbes, Alec, Sharp, Charlotte A., Murphy, Helen, Wood, Elizabeth F., Doherty, Teresa, Sheldon, Jo, Sofat, Nidhi, Goff, Iain, Platt, Philip N., Abdulkader, Rita, Clunie, Gavin, Ismajli, Mediola, Nikiphorou, Elena, Young, Adam, Tugnet, Nicola, Dixey, Josh, Banik, Snehashish, Alcorn, Desmond, Hunter, John, Win Maw, Win, Patil, Pravin, Hayes, Fiona, Main Wong, Way, Borg, Frances A., Dasgupta, Bhaskar, Malaviya, Anshuman P., Ostor, Andrew J., Chana, Jasroop K., Ahmed, Azeem A., Edmonds, Sally, Coward, Lucy, Borg, Frances, Heaney, Jonathan, Amft, Nicole, Simpson, John, Dhillon, Veena, Ayalew, Yezenash, Khattak, Fazlihakim, Gayed, Mary, Amarasena, Roshan I., McKenna, Frank, Mc Laughlin, Maeve, Baburaj, Krishnan, Fattah, Zozik, Ng, Nora, Wilson, Jo, Colaco, Bernard, Williams, Mark R., Adizie, Tochukwu, Casey, Matthew, Lip, Stefanie, Tan, Shaun, Anderson, David, Robertson, Calum, Devanny, Ian, Field, Max, Walker, David, Robinson, Sandra, Ryan, Sarah, Hassell, Andrew, Bateman, James, Allen, Maggie, Davies, David, Crouch, Carina, Walker-Bone, Karen, Gainsborough, Nicola, Lutalo, Pamela M., Davies, Ursula M., Mckew, Jennifer R., Millar, Auleen M., Wright, Stephen A., Bell, Aubrey L., Thapper, Muryum, Roussou, Thalia, Cumming, Jo, Hull, Richard G., McKeogh, John, O'Connor, Mortimer B., Hassan, Ahmed I., Bond, Ursula, Swan, Joan, Phelan, Mark J., Coady, David, Kumar, Namita, Farrow, Luke, Bukhari, Marwan, Oldroyd, Alexander G., Greenbank, Cathi, McBeth, John, Duncan, Rosie, Brown, Deborah, Horan, Michael, Pendleton, Neil, Littlewood, Alison, Cordingley, Lis, Mulvey, Matthew, Curtis, Elizabeth M., Cole, Zoe A., Crozier, Sarah R., Georgia, Ntani, Robinson, Siân M., Godfrey, Keith M., Sayer, Avan A., Inskip, Hazel M., Harvey, Nicholas C., Davies, Rebecca, Mercer, Louise, Galloway, James, Low, Audrey, Watson, Kath, Lunt, Mark, Symmons, Deborah, Hyrich, Kimme, Chitale, Sarang, Estrach, Cristina, Goodson, Nicola J., Rankin, Elizabeth, Jiang, C. Q., Cheng, K. K., Lam, T. H., Adab, Peymané, Ling, Stephanie, Humphreys, Jennifer, Ellis, Corrinne, Bunn, Diane, Verstappen, Suzanne M., Fluess, Elisa, Macfarlane, Gary J., Bond, Christine, Jones, Gareth T., Scott, Ian C., Steer, Sophia, Lewis, Cathryn M., Cope, Andrew, Mulvey, Matthew R., Lovell, Karina, Keeley, Philip, Woby, Steve, Beasley, Marcus, Viatte, Sebastien, Plant, Darren, Fu, Bo, Solymossy, Csilla, Worthington, Jane, Barton, Anne, Williams, Frances M., Osei-Bordom, Daniel-Clement, Popham, Maria, MacGregor, Alex, Spector, Tim, Little, Jayne, Herrick, Ariane, Pushpakom, S., Ennis, H., McBurney, H., Worthington, J., Newman, W., Ibrahim, Ibrahim, Morgan, Anne, Wilson, Anthony, Isaacs, John, Sanderson, Tessa, Hewlett, Sarah, Calnan, Michael, Morris, Marianne, Raza, Karim, Kumar, Kanta, Cardy, Caroline M., Pauling, John D., Jenkins, Jessica, Brown, Sue J., McHugh, Neil, Mugford, Miranda, Davies, Charlotte, Cooper, Nicola, Brooksby, Alan, Dures, Emma, Ambler, Nick, Fletcher, Debbie, Pope, Denise, Robinson, Frances, Rooke, Royston, Gorman, Claire L., Reynolds, Piero, Hakim, Alan J., Bosworth, Ailsa, Weaver, Dan, Kiely, Patrick D., Skeoch, Sarah, Jani, Meghna, Amarasena, Roshan, Rao, Chandini, Macphie, Elizabeth, McLoughlin, Yokemei, Shah, Preeti, Else, Sara, Semenova, Olga, Thompson, Helen, Ogunbambi, Olabambo, Kallankara, Sathish, Patel, Yusuf, Baguley, Elaine, Halsey, John, Severn, Andrew, Selvan, Shilpa, Price, Elizabeth, Husain, Muhammad J., Brophy, Sinead, Phillips, Ceri J., Cooksey, Roxanne, Irvine, Elizabeth, Lendrem, Dennis, Mitchell, Sheryl, Bowman, Simon, Pease, Colin T., Emery, Paul, Andrews, Jacqueline, Sutcliffe, Nurhan, Lanyon, Peter, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Giles, Ian, Isenberg, David, Griffiths, Bridget, Foggo, Heather, Edgar, Suzanne, Vadivelu, Saravanan, Ng, Wan-Fai, Iqbal, Itrat, Heron, Louise, Pilling, Claire, Marks, Jonathan, Hull, Richard, Ledingham, Jo, Han, Chenglong, Gathany, Tim, Tandon, Neeta, Hsia, Elizabeth, Taylor, P., Strand, V., Sensky, T., Harta, N., Fleming, S., Kay, Lesley, Rutherford, Michelle, Nicholl, Karl, Eyre, Tracey, Wilson, Gillian, Johnson, Phil, Russell, M., Timoshanko, J., Duncan, G., Spandley, A., Roskell, S., West, Louise, Adshead, Rebecca, Donnelly, Simon P., Ashton, Simon, Tahir, Hasan, Patel, Dipti, Darroch, James, Boulton, John, Ellis, Benjamin, Finlay, Ron, Murray-Brown, William, Priori, R., Tappuni, T., Vartoukian, S., Seoudi, N., Picarelli, G., Fortune, F., Valesini, G., Pitzalis, C., Bombardieri, M., Ball, Elisabeth, Rooney, Madeleine, Bell, Aubrey, Mérida, Angeles Acosta, Tarelli, Edward, Axford, John, Pericleous, Charis, Pierangeli, Silvia S., Ioannou, John, Rahman, Anisur, Alavi, Azita, Hughes, Michael, Evans, Bronwen, Zaki, Awal, Hui, Michelle, Garner, Rozeena, Rees, Frances, Bavakunji, Riaz, Daniel, Priya, Varughese, Sneha, Srikanth, Asha, Andres, Mariano, Pearce, Fiona, Leung, Jansen, Lim, Ken, Oomatia, Amin, Petri, Michelle, Fang, Hong, Birnbaum, Julius, Amissah-Arthur, Maame, Stewart, Kirsty, Jennens, Hannah, Braude, Simon, Sutton, Emily J., Watson, Kath D., Yee, Chee-Seng, Jayne, David, Akil, Mohammed, Ahmad, Yasmeen, D'Cruz, David, Khamashta, Munther, Teh, Lee-Suan, Zoma, Asad, Dey, Ida D., Kenu, Ernest, Garza-Garcia, Acely, Murfitt, Lucy, Driscoll, Paul C., Pierangeli, Silvia, Ioannou, Yiannis, Reynolds, John A., Ray, David W., O'Neill, Terence, Segeda, Iuliia, Shevchuk, Sergii, Kuvikova, Inna, Brown, Nina, Venning, Michael, Dhanjal, Mandish, Mason, Justin, Nelson-Piercy, Catherine, Basu, Neil, Paudyal, Priya, Stockton, Marie, Lawton, Sally, Dent, Caroline, Kindness, Kathy, Meldrum, Gillian, John, Elizabeth, Arthur, Catherine, West, Lucy, Macfarlane, Matthew V., Reid, David M., Yates, Max, Loke, Yoon, Watts, Richard, Christidis, Dimitrios, Williams, Mark, Sivakumar, Rajappa, Misra, Ramnath, Danda, Debashish, Mahendranath, K. M., Bacon, Paul A., and Mackie, Sarah L.

Abstract

Background: Cardiovascular disease is a major comorbidity of rheumatoid arthritis (RA) and a leading cause of death. Chronic systemic inflammation involving tumour necrosis factor alpha (TNF) could contribute to endothelial activation and atherogenesis. A number of anti-TNF therapies are in current use for the treatment of RA, including certolizumab pegol (CZP), (Cimzia ®; UCB, Belgium). Anti-TNF therapy has been associated with reduced clinical cardiovascular disease risk and ameliorated vascular function in RA patients. However, the specific effects of TNF inhibitors on endothelial cell function are largely unknown. Our aim was to investigate the mechanisms underpinning CZP effects on TNF-activated human endothelial cells. Methods: Human aortic endothelial cells (HAoECs) were cultured in vitro and exposed to a) TNF alone, b) TNF plus CZP, or c) neither agent. Microarray analysis was used to examine the transcriptional profile of cells treated for 6 hrs and quantitative polymerase chain reaction (qPCR) analysed gene expression at 1, 3, 6 and 24 hrs. NF-κB localization and IκB degradation were investigated using immunocytochemistry, high content analysis and western blotting. Flow cytometry was conducted to detect microparticle release from HAoECs. Results: Transcriptional profiling revealed that while TNF alone had strong effects on endothelial gene expression, TNF and CZP in combination produced a global gene expression pattern similar to untreated control. The two most highly up-regulated genes in response to TNF treatment were adhesion molecules E-selectin and VCAM-1 (q < 0.00005). This was supported by qPCR analysis at 6 hrs (E-selectin and VCAM-1; 208.5 fold and 40.5, respectively above control) and also at 1, 3 and 24 hrs (E-selectin; 25.6, 93.5, 12.7 fold, respectively) (VCAM-1; 4.7, 47.2, 17.6 fold) (n = 3; p < 0.05). In contrast, HAoECs treated with TNF in combination with CZP exhibited control levels of E-selectin and VCAM-1 transcript (p > 0.2 compared to control; p > 0.05 compared to TNF alone). The NF-κB pathway was confirmed as a downstream target of TNF-induced HAoEC activation, via nuclear translocation of NF-κB and degradation of IκB, effects which were abolished by treatment with CZP. In addition, flow cytometry detected an increased production of endothelial microparticles in TNF-activated HAoECs, which was prevented by treatment with CZP. Conclusions: We have found at a cellular level that a clinically available TNF inhibitor, CZP reduces the expression of adhesion molecule expression, and prevents TNF-induced activation of the NF-κB pathway. Furthermore, CZP prevents the production of microparticles by activated endothelial cells. This could be central to the prevention of inflammatory environments underlying these conditions and measurement of microparticles has potential as a novel prognostic marker for future cardiovascular events in this patient group. Disclosure statement: Y.A. received a research grant from UCB. I.B. received a research grant from UCB. S.H. received a research grant from UCB. All other authors have declared no conflicts of interest

Published
2017

50. Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.

Author

Zhao, Sizheng Steven, Hong, Chuan, Cai, Tianrun, Xu, Chang, Huang, Jie, Ermann, Joerg, Goodson, Nicola J, Solomon, Daniel H, Cai, Tianxi, and Liao, Katherine P

Subjects
NATURAL language processing, NOSOLOGY, SPONDYLOARTHROPATHIES, PHENOTYPES, ELECTRONIC health records
Abstract

Objectives To develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Classification of Diseases (ICD) codes. Methods An enriched cohort of 7853 eligible patients was created from electronic health records of two large hospitals using automated searches (⩾1 ICD codes combined with simple text searches). Key disease concepts from free-text data were extracted using NLP and combined with ICD codes to develop algorithms. We created both supervised regression-based algorithms—on a training set of 127 axSpA cases and 423 non-cases—and unsupervised algorithms to identify patients with high probability of having axSpA from the enriched cohort. Their performance was compared against classifications using ICD codes only. Results NLP extracted four disease concepts of high predictive value: ankylosing spondylitis, sacroiliitis, HLA-B27 and spondylitis. The unsupervised algorithm, incorporating both the NLP concept and ICD code for AS, identified the greatest number of patients. By setting the probability threshold to attain 80% positive predictive value, it identified 1509 axSpA patients (mean age 53 years, 71% male). Sensitivity was 0.78, specificity 0.94 and area under the curve 0.93. The two supervised algorithms performed similarly but identified fewer patients. All three outperformed traditional approaches using ICD codes alone (area under the curve 0.80–0.87). Conclusion Algorithms incorporating free-text data can accurately identify axSpA patients in electronic health records. Large cohorts identified using these novel methods offer exciting opportunities for future clinical research. [ABSTRACT FROM AUTHOR]

Published
2020
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