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1.
JACC Clin Electrophysiol ; 10(2): 262-269, 2024 Feb.
Article in English | MEDLINE | ID: mdl-38032577

ABSTRACT

BACKGROUND: Catheter ablation is a mainstay of atrial fibrillation (AF) treatment. Acute pericarditis after ablation is 1 of the frequently observed complications. There is a significant lack of data on the incidence and predictors of postablation pericarditis. OBJECTIVES: This study examines the incidence, characteristics, and predictors of pericarditis after AF ablation. METHODS: Patients undergoing AF ablation from January 1, 2016, to March 31, 2022, at Johns Hopkins were prospectively enrolled in an AF ablation registry. A clinical diagnosis of acute pericarditis was established in accordance with 2015 European Society of Cardiology guidelines by the presence of at least 2 of the following characteristics: pleuritic chest pain, friction rub, typical electrocardiographic changes, or pericardial effusion within 3 months after the ablation procedure. RESULTS: Of 1,540 patients who underwent AF ablation, 57 patients (3.7%) developed acute pericarditis. Baseline clinical characteristics including age, sex, and body mass index were comparable between the pericarditis and nonpericarditis groups. The median time to symptom onset was 1 day. Electrocardiographic changes were observed in 34 (59.6%) patients, pericardial effusion developed in 7 (12%) patients, and the mean duration of medical treatment was 7 days (25th-75th percentile: 3-14 days). Most pericarditis cases were treated medically with disease-specific nonsteroidal anti-inflammatory drugs (100%) and colchicine (81%). Effusion with tamponade necessitating pericardiocentesis was observed in 4 (7%) patients. Radiofrequency (RF) ablation was performed in 869 (58.6%) patients in the nonpericarditis group and 39 (68.4%) patients with pericarditis; cryoballoon ablation was performed in 486 (32.8%) patients in the nonpericarditis group and 11 (19.3%) patients with pericarditis. Multivariable logistic regression analysis identified RF ablation (OR: 2.09; 95% CI: 1.07-4.08; P = 0.03) as an independent predictor of acute pericarditis after AF ablation, whereas age per unit increase was associated with a decreased risk (OR: 0.97; 95% CI: 0.95-0.995; P = 0.02). CONCLUSIONS: The incidence of acute pericarditis after catheter ablation in our study population was 3.7%. RF ablation and younger age were independent risk factors for postablation acute pericarditis.


Subject(s)
Atrial Fibrillation , Catheter Ablation , Cryosurgery , Pericardial Effusion , Pericarditis , Humans , Atrial Fibrillation/epidemiology , Atrial Fibrillation/surgery , Atrial Fibrillation/diagnosis , Pericardial Effusion/epidemiology , Pericardial Effusion/etiology , Treatment Outcome , Cryosurgery/methods , Catheter Ablation/adverse effects , Catheter Ablation/methods , Pericarditis/epidemiology , Pericarditis/etiology , Pericarditis/surgery
2.
Clin J Am Soc Nephrol ; 17(3): 350-360, 2022 03.
Article in English | MEDLINE | ID: mdl-35197258

ABSTRACT

BACKGROUND AND OBJECTIVES: Novel aptamer-based technologies can identify >7000 analytes per sample, offering a high-throughput alternative to traditional immunoassays in biomarker discovery. However, the specificity for distinct proteins has not been thoroughly studied in the context of CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We assessed the use of SOMAscan, an aptamer-based technology, for the quantification of eight immune activation biomarkers and cystatin C among 498 African American Study of Kidney Disease and Hypertension (AASK) participants using immunoassays as the gold standard. We evaluated correlations of serum proteins as measured by SOMAscan versus immunoassays with each other and with iothalamate-measured GFR. We then compared associations between proteins measurement with risks of incident kidney failure and all-cause mortality. RESULTS: Six biomarkers (IL-8, soluble TNF receptor superfamily member 1B [TNFRSF1B], cystatin C, soluble TNF receptor superfamily member 1A [TNFRSF1A], IL-6, and soluble urokinase-type plasminogen activator receptor [suPAR]) had non-negligible correlations (r=0.94, 0.93, 0.89, 0.85, 0.46, and 0.23, respectively) between SOMAscan and immunoassay measurements, and three (IL-10, IFN-γ, and TNF-α) were uncorrelated (r=0.08, 0.07, and 0.02, respectively). Of the six biomarkers with non-negligible correlations, TNFRSF1B, cystatin C, TNFRSF1A, and suPAR were negatively correlated with measured GFR and associated with higher risk of kidney failure. IL-8, TNFRSF1B, cystatin C, TNFRSF1A, and suPAR were associated with a higher risk of mortality via both methods. On average, immunoassay measurements were more strongly associated with adverse outcomes than their SOMAscan counterparts. CONCLUSIONS: SOMAscan is an efficient and relatively reliable technique for quantifying IL-8, TNFRSF1B, cystatin C, and TNFRSF1A in CKD and detecting their potential associations with clinical outcomes. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_02_23_CJN11700921.mp3.


Subject(s)
Renal Insufficiency, Chronic , Renal Insufficiency , Biomarkers , Cystatin C , Female , Glomerular Filtration Rate , Humans , Interleukin-8 , Male , Receptors, Tumor Necrosis Factor , Receptors, Urokinase Plasminogen Activator
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