Effect of Corticosteroid Therapy in Patients With Cardiac Sarcoidosis on Frequency of Venous Thromboembolism
نویسندگان
چکیده
•Cardiac Sarcoidosis (CS) and its many manifestations are being increasingly recognized in the field of cardiology. Corticosteroids widely considered as mainstay treatment for CS.•Previous studies have shown association with inflammatory diseases venous thromboembolism (VTE). This study aims to assess between CS VTE along exploring potential confounding effect corticosteroid use.•We found that neither sarcoidosis nor were associated but it was rather use corticosteroids increased risk VTE.•This sheds light on side effects management highlights importance considering steroid-sparing therapies. is a multisystem condition occasional cardiac involvement (CS), which may be As data sparse therapy has not been previously examined, we aim determine CS, VTE. Patients referred our institution concern underwent positron emission tomography (PET) scan retrospectively assessed. Chi-squared multivariate regression analyses conducted diagnosis sarcoidosis, use, events. Six hundred forty nine patients split into 3 categories: 235 no (NS), 91 extra-cardiac only (ECS), 323 (isolated and/or extra sarcoid). Thirty 7 ECS, 9 NS developed PE while 44 18 DVT. On regression, ECS an independent factor (p >0.05) independently (HR 3.06, p = 0.007 PE, HR 6.21, <0.0001 DVT). logistic analysis, dose both 0.001) DVT 0.007). Optimal threshold defining prednisone-equivalent 17.5 mg. In conclusion, contrary previous studies, this current Rather, characterized by noncaseating granulomas can affect multiple organs, including heart, termed sarcoidosis.1Tan JL Fong HK Birati EY Han Y.Cardiac sarcoidosis.Am J Cardiol. 2019; 123: 513-522Abstract Full Text PDF PubMed Scopus (17) Google Scholar, 2Kiko T Yoshihisa A Kanno Y Yokokawa Abe S Miyata-Tatsumi M Misaka Oikawa Kobayashi Ishida Takeishi Y. biomarker approach sarcoidosis.Int Heart J. 2018; 59: 996-1001Crossref (25) 3Muchtar E Blauwet LA Gertz MA. 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Cardiac sarcoidosis: review contemporary challenges treatment.Am Med Sci. 355: 113-125Abstract (6) Incidence >20 fold last 25 years, likely due improved detection advancements imaging technology such magnetic resonance (PET).6Kandolin R Lehtonen Airaksinen Vihinen Miettinen H Ylitalo K Kaikkonen Tuohinen Haataja P Kerola Kokkonen Pelkonen Pietilä-Effati Utrianen Kupari M. epidemiology, characteristics, outcome over years nationwide study.Circulation. 2015; 131: 624-632Crossref (253) Diagnosis made definitively endomyocardial biopsy or according diagnostic criteria established either Japanese Circulation Society Rhythm (HRS).7Terasaki F Yoshinaga K. New guidelines Japan.Ann Nucl 3: 42-45Crossref Scholar,8Birnie DH Sauer WH Bogun JM Culver DA Duvernoy Judson MA Kron Mehta D Nielsen JC Patel AR Ohe Raatikainen Soejima HRS expert consensus statement arrhythmias Rhythm. 2014; 11: 1305-1323Abstract (654) Among complications 1 less commonly described (VTE).9Swigris JJ Olson AL Huie TJ Fernandez-Perez ER Solomon Sprunger Brown KK. Increased pulmonary embolism among US decedents from 1988 2007.Chest. 2011; 140: 1261-1266Abstract (67) 10Goljan-Geremek Geremek Puscinska Sliwinski P. Venous co-incidence coexistence?.Cent Eur Immunol. 40: 477-480Crossref (9) 11Ungprasert Crowson Matteson EL. Association VTE: population-based study, 1976 2013.Chest. 151: 425-430Abstract (26) VTE, defined deep vein thrombosis (DVT) (PE), common medical poses significant morbidity approximately 30% mortality within year after diagnosis.12Tritschler Kraaijpoel Le Gal G Wells PS thromboembolism: advances treatment.JAMA. 320: 1583-1594Crossref 13Tagalakis V Patenaude Kahn SR Suissa S. real-world population: Q-VTE cohort.Am Med. 126 (832.e13-832)Abstract (224) 14Mahan CE Borrego ME Woersching Federici Downey Tiongson Bieniarz MC Cavanaugh BJ Spyropoulos AC. annualised United States models total, hospital-acquired preventable costs utilizing long-term attack rates.Thromb Haemost. 2012; 108: 291-302Crossref (106) Traditional factors include prolonged immobilization, hypercoagulable conditions, malignancy, hospitalization, surgery, medications, age, sex.15Heit JA Spencer FA White RH. The epidemiology thromboembolism.J Thromb Thrombolysis. 2016; 41: 3-14Crossref (450) Chronic conditions major development driven activation coagulation cascade cytokines leading clot formation.16Silvarino Danza Merola Berez Mendez Espinosa Cervera R. thromboembolic disease systemic autoimmune diseases: keep mind.Autoimmun 12: 289-294Crossref (12) 17Ungprasert Srivali Spanuchart I Thongprayoon C Knight Risk rheumatoid arthritis: systematic meta-analysis.Clin Rheumatol. 33: 297-304Crossref 18Tomasson Monach PA Merkel PA. Thromboembolic vasculitis.Curr Opin 2009; 21: 41-46Crossref (69) 19Zoller B Li X Sundquist disorders: follow-up Sweden.Lancet. 379: 244-249Abstract (229) An also suggested sarcoidosis9Swigris assessing specifically. Furthermore, these investigations demonstrated did account confounder.20Johannesdottir SA Horvath-Puho Dekkers OM Cannegieter SC Jorgensen JO Ehrenstein Vandenbroucke JP Pedersen L Sorensen HT. Use case-control study.JAMA Intern 173: 743-752Crossref (244) Thus, objective investigation approved Mayo Clinic Institutional Review Board (#17-000976). All had consented allow their health records research purposes. internal electronic record used identify 649 (18 older) who Clinic, Rochester January 1, 1994 December 31, 2019 evaluation possible subsequently whole body F-flurodeoxyglucose (FDG-PET). patients’ demographic symptoms at presentation, medications relevant tests laboratory values (transthoracic echocardiography imaging) collected record. included FDG-PET most cardiac-specific FDG-PET, evaluate extracardiac involvement. Based imaging, stratified (including isolated involvement), (NS) based accepted guidelines.7Terasaki Scholar,21Crouser ED Maier Wilson KC Bonham CA Morgenthau AS Patterson Abston Bernstein RC Blankstein Chen ES Drake W Drent Gerke AK Ghobrial Govender Hamzeh James WE Kellermeyer Koth LL Poletti Raman SV Tukey MH Westney GE official American Thoracic practice guideline.Am Respir Crit Care 2020; 201: 26-51Crossref group largely consisted presenting concerns outside hospital diagnoses (and potentially receiving time evaluation) ECS. These meet control outcomes compared groups. assessed during follow up. Only least month therapy. Those sparingly them than received steroid cut off felt give accurate representation would actually scenarios. Given difficulty analyzing complex individualized tapering plans patients, instead chose maximal steroids analysis. Length through notes prescription start end dates. Patients’ reviewed subsequent initial NS. done searching International Classification Diseases (ICD) codes well correlation when (Figure 1). events clearly directly related identifiable (such device leads, central lines, surgery prior development) excluded study. date against initiation complete time-to-event analysis median up 3.1 (IQR 1.0-8.1). primary endpoint event. analyzed binary time-dependent endpoint. Comprehensive descriptive statistics (percentages, means ± standard deviation) summarize characteristics each cohort. Comparisons cohort using χ2 Fishers exact test event (DVT separately). Cox (CS, history duration, smoking status, ejection fraction, sex, BMI, race, FDG PET data) Kaplan-Meier curves examine relationships vs non-sarcoidosis status vs. non-use relative 2). 403 (62%) male. Three twenty three (50%) diagnosed per guidelines, (14%) without (36%) published sarcoidosis. Four ninety (77%) specific active inflammation seen 131 4 patients. higher mean number inflamed segments (4.24 0.35), uptake (SUV) max (6.31 4.63) lower SUV/blood pool (2.04 3.03) counterparts. any type more starting/presenting those treated <0.001) comparatively (46 mg 33mg, <0.001). listed Table 1. expected, presented frequently congestive failure (CHF, 57% 19%, <0.0001) left ventricular fraction (LVEF, 46% 59%, ECS.Table 1Baseline characteristicsCharacteristicAll (n 649)NS 235)ECS 91)CS 323)p ValueAge (years)60±12.5558±14.0061±11.7262±11.250.0001Men403 (62%)153 (65%)46 (50%)204 (63%)0.45Woman246 (38%)82 (35%)45 (50%)119 (37%)White577 (89%)212 (90%)86 (95%)279 (86%)0.07Non-White72 (11%)23 (10%)5 (5%)44 (14%)Body Mass Index (kg/m2)30±7.0429±6.8731±7.2631±6.960.0008Smoker0.013Current125 (19%)47 (20%)13 (14%)65 (20%)Former91 (14%)40 (17%)20 (22%)31 (10%)None433 (67%)148 (63%)58 (64%)227 (70%)Corticosteroid Use349 (54%)43 (18%)39 (43%)258 (80%)<0.0001Corticosteroid (mg)44±21.2037±3.5733±17.6546±20.180.0001History thromboembolism30 (5%)11 (5%)1 (1%)18 (6%)0.20Malignancy147 (23%)53 (23%)24 (26%)70 (22%)0.64Values deviation n (%).NS sarcoidosis; Open table new tab Values (%). Over 1.0-8.1), 39 (12%) (7.6%) (4%) Similarly, (3.3%) (8%) Important variables interest univariate 2. We greater odds (OR 3.44, 95% CI [1.63 7.27], 0.0003 OR 1.90, [1.07 3.38], 0.02, respectively). contrast, 2.01 [0.76 5.80], 0.16 0.41 [0.12-1.43], 0.16, develop (44/323 3/91 (3%), 4.62 (1.40 15.26), 0.002) counterparts there statistically difference (12% 8%, 1.65, (0.71 3.82), 0.16). patients.Table 2Univariate VTEVariable InterestPulmonary EmbolismDeep Vein ThrombosisOdds Ratio (CI)p ValueOdds ValueSarcoidosis3.14 (1.51-6.53)0.00071.54 (0.87-2.73)0.08CS3.44 (1.63-7.27)0.00031.90 (1.07-3.38)0.02Gender1.54 (0.84-2.82)0.151.67 (0.95-2.95)0.07Race (white non-white)1.64 (0.58-4.70)0.340.75 (0.36-1.59)0.46Corticosteroid Use4.29 (2.12-8.68)<0.00016.12 (3.00-12.73)<0.0001History Previous VTE14.48 (6.61-31.71)<0.000115.56 (7.13-33.93)<0.0001Malignancy1.45 (0.79-2.68)0.252.19 (1.28-3.77)0.004Smoker0.89 (0.49-1.61)0.700.81 (.046-1.42)0.46Active Inflammation1.85 (094-3.67)0.071.88 (1.01-3.50)0.04VTE thromboembolism; confidence interval; tomography. 3. After adjustment confounders, specifically 1.72, 0.15) 1.06, 0.88). History important 11.75, 13.22, <0.0001). However, significantly 0.007) smoking, presence segments, andSUV malignancy BMI <0.05 all) Corticosteroid incident model 3, Figure 4, respectively).Table 3Multivariate Cox-regression ThrombosisHazard ValueHazard ValueCS1.72 (0.83-3.61)0.151.06 (0.53-2.11)0.88History VTE11.75 (5.14-26.82)<0.000113.22 (5.56-31.39)<0.0001Corticosteroid Use3.06 (1.36-6.91)0.0076.21 (2.69-14.34)<0.0001Corticosteroid Duration (months)1.00 (0.98-1.01)0.911.00 (0.97-1.02)0.72Malignancy1.32 (0.65-2.65)0.442.23 (1.12-4.24)0.01Smoker0.91 (0.47-1.75)0.780.77 (0.42-1.46)0.40Ejection Fraction1.01 (0.99-1.03)0.531.03 (1.00-1.04)0.06Age (years)1.00 (0.98-1.03)0.920.99 (0.97-1.02)0.98Body (kg/m2)1.04 (0.99-1.10)0.141.06 (1.01-1.11)0.03CI thromboembolism. 4Association DVT.View Large Image ViewerDownload Hi-res image Download (PPT) model, predictor development. receiver operatory curve yielded optimal (maximizing sensitivity-[1-specificity] function) prednisone daily area under 0.71 0.69 cutoff sensitivity 78.9% specificity 56.6% 76% 56% present identified discrimination 17.5mg daily. While modeling, studies. Although randomized trials, believed first line agents immunosuppressive improve rates progression symptoms.5Yatsynovich Scholar,22Yazaki Isobe Hiroe Morimoto Hiramitsu Nakano Izumi Sekiguchi Prognostic determinants survival prednisone.Am 2001; 88: 1006-1010Abstract (464) adverse events, though pathophysiology certain.15Heit traditional diseases, obesity, hospitalizations, sedentary state, cancer, trauma, pregnancy, medications,15Heit increasingly, induce state upregulating tissue cytokines, mobilizing promoting phospholipids, suppressing fibrinolysis, causing endothelial injury.23Ramagopalan Wotton CJ Handel AE Yeates Goldacre MJ. people admitted selected immune-mediated record-linkage study.BMC Medicine. 9: 1-8Crossref (179) Recent hemolytic anemia, diabetes mellitus, thyroiditis, sclerosis, polyarteritis nodosa, arthritis, lupus erythematosus events.24Xu Lupu Esmon CT. Inflammation, innate immunity blood coagulation.Hamostaseologie. 2010; 30 (8-9): 5-6Crossref (148) development.9Swigris form require other requiring immunosuppression, rheumatologic (systemic erythematosus, polymyalgia rheumatica), malignancies, (myocarditis various etiology) gastrointestinal pathology (eosinophillic esophagitis), disease. generally initiated 40-60 day slowly tapered response improvement findings.3Muchtar Scholar,5Yatsynovich population appears chronic often required CS.3Muchtar result, extremely further delineate population. appeared development, seems congruent determined contradicts demonstrating VTE.9Swigris Importantly, second highest point estimate behind Therefore, confounder results examining population.20Johannesdottir Scholar,24Xu Scholar,25Huerta Johansson Wallander García Rodríguez short-term care setting Kingdom.Arch 2007; 167: 935-943Crossref (300) relationship fact increase (VII, VIII, XI, fibrinogen) decrease levels plasminogen activator inhibitor (a key molecules inhibit fibrinolysis) states inflammation.26van Zaane Nur Squizzato Gerdes VEA Buller Brandjes DPM. Systematic procoagulant, anti-coagulant fibrinolytic factors.J 8: 2483-2493Crossref (118) Scholar,27Brotman DJ Girod Posch Jani JT JV Gupta Lip GY Reddy Kickler TS. Effects hemostatic healthy volunteers.Thromb 2006; 118: 247-252Abstract (114) showed dose-dependent manner findings raise question regarding management. stated previously, almost all them, even brief periods time. starting doses taper 40 60 mg/day range thus raising data.3Muchtar should carefully immunosuppressant CS. emphasizes corticosteroid-sparing therapies although they certainly come own set side-effects, VTE.28Kazory Ducloux D. Acquired renal transplant recipients.Thromb 2004; 91: 646-654Crossref It raises role prophylactic anticoagulation high-risk corticosteroids, similar rivaroxaban medically ill patients.29Zannad Anker SD Byra WM Cleland JGF Fu Gheorghiade Lam CSP Mehra MR Neaton JD Nessel CC Spiro TE van Veldhuisen Greenberg B. Rivaroxaban sinus rhythm, coronary disease.N Engl 1332-1342Crossref (168) 30Choen AT Haskell Hu Hull Mebazaa Merli Schellong AC Tapson V. thromboprophylaxis acutely patients.N 368: 513-523Crossref (419) 31Spyropoulos Ageno Albers GW Elliott CG Halperin Hiatt WR Maynard GA Steg PG Weitz JI Suh Barnathan Raskob GE. hospitalization illness.N 1118-1127Crossref (127) several limitations. Firstly, retrospective evaluated single tertiary referral institution, limits external generalizability, terms demographics general populations.1Tan Second, nature cofounding interpreting results. given complexity regimens, limited dosage data. Finally, surveillance bias could play sarcoidosis/CS undergo examinations scans lead asymptomatic underlying authors’ contributions follows: Nikhil Kolluri, MD: Conceptualization, Methodology, Software, Validation, Formal Analysis, Investigation, Data Curation, Writing – Original draft, Visualization Mohamed Elwazir, MB, BCh: Andrew Rosenbaum, Editing, Supervision Fathi Maklady Omar F. Abou Ezzeddine, MD, CM, MS: Suraj Kapa, Panithaya Chareonthaitawee, Lori A. Blauwet, Robert McBane II, John Bois, No Authors industry. authors declare known competing financial interests personal influence work reported paper.
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ژورنال
عنوان ژورنال: American Journal of Cardiology
سال: 2021
ISSN: ['1879-1913', '0002-9149']
DOI: https://doi.org/10.1016/j.amjcard.2021.03.017