Perceptions of the Fatigue Experience and a Breathing Awareness Meditation-Integrated mHealth App for Fatigue and Stress in Patients with Sarcoidosis.

Objective: Sarcoidosis-associated fatigue is a debilitating consequence of sarcoidosis, a multi-system inflammatory disease, and may be related to increased stress associated with sarcoidosis. Breathing awareness meditation has potential as an intervention for managing stress and fatigue for sarcoidosis patients (SPs). This project's aim was to obtain feedback from key informants to design and tailor a patient-centered Sarcoidosis Patient Resource and Companion (SPARC) mHealth App developed for SPs to manage fatigue and stress at home using breathing awareness meditation. Methods: We used a mixed-method patient/user-centered design with triangulation to understand SPs experiences of sarcoidosis-associated fatigue and stress (n = 13), and obtain feedback on the SPARC App-prototype integrating breathing awareness meditation from these SPs and health care team members (HCTMs; n = 5). Using deductive content analysis, transcribed interviews were coded for themes and subthemes. Results: We report on findings from qualitative interviews and assessment of SPs' experiences including themes describing fatigue/stress interactions. Themes indicated that SPs find fatigue to be a profoundly difficult experience affecting multiple domains of functioning for which they perceive few effective strategies to cope. SPs and HCTMs shared feedback on the SPARC App-prototype after a test session; it was reported to be user friendly and to have potential for improving fatigue/stress, and key points for tailoring the App to SPs were shared. Conclusion: Sarcoidosis-associated fatigue poses a significant burden for SPs. The SPARC App-prototype with breathing awareness meditation was acceptable and feasible to use and was well-received by SPs and HCTMs. Future iterations of the SPARC App to test the effect of breathing awareness meditation on fatigue will need to incorporate recommendations for tailoring for SPs.

Quantitative myocardial T2 mapping adds value to Japanese circulation society diagnostic criteria for active cardiac sarcoidosis.

Noninvasive identification of active myocardial inflammation in patients with cardiac sarcoidosis plays a key role in management but remains elusive. T2 mapping is a proposed solution, but the added value of quantitative myocardial T2 mapping for active cardiac sarcoidosis is unknown. Retrospective cohort analysis of 56 sequential patients with biopsy-confirmed extracardiac sarcoidosis who underwent cardiac MRI for myocardial T2 mapping. The presence or absence of active myocardial inflammation in patients with CS was defined using a modified Japanese circulation society criteria within one month of MRI. Myocardial T2 values were obtained for the 16 standard American Heart Association left ventricular segments. The best model was selected using logistic regression. Receiver operating characteristic curves and dominance analysis were used to evaluate the diagnostic performance and variable importance. Of the 56 sarcoidosis patients included, 14 met criteria for active myocardial inflammation. Mean basal T2 value was the best performing model for the diagnosis of active myocardial inflammation in CS patients (pR2 = 0.493, AUC = 0.918, 95% CI 0.835-1). Mean basal T2 value > 50.8 ms was the most accurate threshold (accuracy = 0.911). Mean basal T2 value + JCS criteria was significantly more accurate than JCS criteria alone (AUC = 0.981 vs. 0.887, p = 0.017). Quantitative regional T2 values are independent predictors of active myocardial inflammation in CS and may add additional discriminatory capability to JCS criteria for active disease.

Design and rationale of a pilot randomized clinical trial investigating the use of a mHealth app for sarcoidosis-associated fatigue.

Fatigue is the most reported symptom in patients with sarcoidosis (SPs) and is a significant predictor of decreased quality of life that is strongly associated with stress and negative mood states. Few medications exist for treating fatigue in SPs, and outpatient physical rehabilitation programs are limited by availability and cost. Sarcoidosis in the US predominantly impacts minorities and underserved populations who are of working age and often have limited resources (e.g., financial, transportation, time off work) that may prevent them from attending in-person programs. The use of mobile health (mHealth) is emerging as a viable alternative to provide access to self-management resources to improve quality of life. The Sarcoidosis Patient Assessment and Resource Companion (SPARC) App is a sarcoidosis-specific mHealth App intended to improve fatigue and stress in SPs. It prompts SPs to conduct breathing awareness meditation (BAM) and contains educational modules aimed at improving self-efficacy. Herein we describe the design and methods of a 3-month randomized control trial comparing use of the SPARC App (10-min BAM twice daily) to standard care in 50 SPs with significant fatigue (FAS ≥22). A Fitbit® watch will provide immediate heartrate feedback after BAM sessions to objectively monitor adherence. The primary outcomes are feasibility and usability of the SPARC App (collected monthly). Secondary endpoints include preliminary efficacy at improving fatigue, stress, and quality of life. We expect the SPARC App to be a useable and feasible intervention that has potential to overcome barriers of more traditional in-person programs.

Efzofitimod for the Treatment of Pulmonary Sarcoidosis.

BACKGROUND: Pulmonary sarcoidosis is characterized by the accumulation of immune cells that form granulomas affecting the lungs. Efzofitimod (ATYR1923), a novel immunomodulator, selectively binds neuropilin 2, which is upregulated on immune cells in response to lung inflammation. RESEARCH QUESTION: What is the tolerability, safety, and effect on outcomes of efzofitimod in pulmonary sarcoidosis? STUDY DESIGN AND METHODS: In this randomized, double-blind, placebo-controlled study evaluating multiple ascending doses of efzofitimod administered intravenously every 4 weeks for 24 weeks, randomized patients (2:1) underwent a steroid taper to 5 mg/d by week 8 or < 5 mg/d after week 16. The primary end point was the incidence of adverse events (AEs); secondary end points included steroid reduction, change in lung function, and patient-reported outcomes on health-related quality-of-life scales. RESULTS: Thirty-seven patients received at least one dose of study medication. Efzofitimod was well tolerated at all doses, with no new or unexpected AEs and no dose-dependent AE incidence. Average daily steroid doses through end of study were 6.8 mg, 6.5 mg, and 5.6 mg for the 1 mg/kg, 3 mg/kg, and 5 mg/kg groups compared with 7.2 mg for placebo, resulting in a baseline-adjusted relative steroid reduction of 5%, 9%, and 22%, respectively. Clinically meaningful improvements were achieved across several patient-reported outcomes, several of which reached statistical significance in the 5 mg/kg dose arm. A dose-dependent but nonsignificant trend toward improved lung function also was observed for 3 and 5 mg/kg. INTERPRETATION: Efzofitimod was safe and well tolerated and was associated with dose-dependent improvements of several clinically relevant end points compared with placebo. The results of this study support further evaluation of efzofitimod in pulmonary sarcoidosis. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03824392; URL: www. CLINICALTRIALS: gov.

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.

BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluate a previously trained interpretable deep learning algorithm for the diagnosis and prognosis of COVID-19 pneumonia from chest X-rays obtained in the ED. METHODS: This retrospective study included 2456 (50% RT-PCR positive for COVID-19) adult patients who received both a chest X-ray and SARS-CoV-2 RT-PCR test from January 2020 to March of 2021 in the emergency department at a single U.S. INSTITUTION: A total of 2000 patients were included as an additional training cohort and 456 patients in the randomized internal holdout testing cohort for a previously trained Siemens AI-Radiology Companion deep learning convolutional neural network algorithm. Three cardiothoracic fellowship-trained radiologists systematically evaluated each chest X-ray and generated an airspace disease area-based severity score which was compared against the same score produced by artificial intelligence. The interobserver agreement, diagnostic accuracy, and predictive capability for inpatient outcomes were assessed. Principal statistical tests used in this study include both univariate and multivariate logistic regression. RESULTS: Overall ICC was 0.820 (95% CI 0.790-0.840). The diagnostic AUC for SARS-CoV-2 RT-PCR positivity was 0.890 (95% CI 0.861-0.920) for the neural network and 0.936 (95% CI 0.918-0.960) for radiologists. Airspace opacities score by AI alone predicted ICU admission (AUC = 0.870) and mortality (0.829) in all patients. Addition of age and BMI into a multivariate log model improved mortality prediction (AUC = 0.906). CONCLUSION: The deep learning algorithm provides an accurate and interpretable assessment of the disease burden in COVID-19 pneumonia on chest radiographs. The reported severity scores correlate with expert assessment and accurately predicts important clinical outcomes. The algorithm contributes additional prognostic information not currently incorporated into patient management.

Phase II Investigation of the Efficacy of Antimycobacterial Therapy in Chronic Pulmonary Sarcoidosis.

BACKGROUND: A Phase I, single-center investigation found that 8 weeks of antimycobacterial therapy improved sarcoidosis FVC. Safety and efficacy assessments have not been performed in a multicenter cohort. RESEARCH QUESTION: The objective of this study was to determine the safety and efficacy of antimycobacterial therapy on the physiological and immunologic end points of sarcoidosis. STUDY DESIGN AND METHODS: In a double-blind, placebo-controlled, multicenter investigation, patients with pulmonary sarcoidosis were randomly assigned to receive 16 weeks of concomitant levofloxacin, ethambutol, azithromycin, and rifabutin (CLEAR) or matching placebo to investigate the effect on FVC. The primary outcome was a comparison of change in percentage of predicted FVC among patients randomized to receive CLEAR or placebo in addition to their baseline immunosuppressive regimen. Secondary outcomes included 6-min walk distance (6MWD), St. George's Respiratory Questionnaire (SGRQ) score, adverse events, and decrease in mycobacterial early secreted antigenic target of 6 kDa (ESAT-6) immune responses. RESULTS: The intention-to-treat analysis revealed no significant differences in change in FVC among the 49 patients randomized to receive CLEAR (1.1% decrease) compared with the 48 randomized to receive placebo (0.02% increase) (P = .64). Physiological parameters such as the change in 6MWD were likewise similar (P = .91); change in SGRQ favored placebo (-8.0 for placebo vs -1.5 for CLEAR; P = .028). The per-protocol analysis revealed no significant change in FVC at 16 weeks between CLEAR and placebo. There was no significant change in 6MWD (36.4 m vs 6.3 m; P = .24) or SGRQ (-2.3 vs -7.0; P = .14). A decline in ESAT-6 immune responses at 16 weeks was noted among CLEAR-treated patients (P = .0003) but not patients receiving placebo (P = .24). INTERPRETATION: Despite a significant decline in ESAT-6 immune responses, a 16-week CLEAR regimen provided no physiological benefit in FVC or 6MWD among patients with sarcoidosis.

Overlap Syndromes in Sarcoidosis: Clinical Features and Outcomes.

Sarcoidosis is a multisystem inflammatory disease characterized by noncaseating granulomatous inflammation. While pulmonary sarcoidosis is most common, extrapulmonary involvement occurs in 50 to 74% of patients and can be the presenting abnormality in some patients. The diagnosis of sarcoidosis is based on a compatible clinical presentation in combination with granulomas on histology and exclusion of other causes. However, the absence of a diagnostic biomarker for sarcoidosis, in addition to the overlap of granulomatous inflammation and nonspecific clinical findings with other diseases, often results in a delayed diagnosis. Sarcoidosis overlap syndromes are typically described when sarcoidosis is diagnosed in the presence of another disease (concurrently or sequentially) with shared clinical and histologic features, or when sarcoidosis presents with clinical features typically observed in, but not diagnostic of, other diseases. Awareness of overlap syndromes is important for clinicians to avoid diagnostic errors and evaluate for concomitant diagnoses that may impact the management and outcome of sarcoidosis. This article is intended to provide an overview of these presentations and the most commonly associated diseases, with attention to their prevalence, clinical features, and reciprocal impacts on disease outcomes.

Diagnosis and Detection of Sarcoidosis. An Official American Thoracic Society Clinical Practice Guideline.

Background: The diagnosis of sarcoidosis is not standardized but is based on three major criteria: a compatible clinical presentation, finding nonnecrotizing granulomatous inflammation in one or more tissue samples, and the exclusion of alternative causes of granulomatous disease. There are no universally accepted measures to determine if each diagnostic criterion has been satisfied; therefore, the diagnosis of sarcoidosis is never fully secure.Methods: Systematic reviews and, when appropriate, meta-analyses were performed to summarize the best available evidence. The evidence was appraised using the Grading of Recommendations, Assessment, Development, and Evaluation approach and then discussed by a multidisciplinary panel. Recommendations for or against various diagnostic tests were formulated and graded after the expert panel weighed desirable and undesirable consequences, certainty of estimates, feasibility, and acceptability.Results: The clinical presentation, histopathology, and exclusion of alternative diagnoses were summarized. On the basis of the available evidence, the expert committee made 1 strong recommendation for baseline serum calcium testing, 13 conditional recommendations, and 1 best practice statement. All evidence was very low quality.Conclusions: The panel used systematic reviews of the evidence to inform clinical recommendations in favor of or against various diagnostic tests in patients with suspected or known sarcoidosis. The evidence and recommendations should be revisited as new evidence becomes available.

Therapeutic strategies for pulmonary sarcoidosis.

Introduction: The treatment of pulmonary sarcoidosis is not standardized. Treatment involves a multi-step decision process beginning with whether treatment is warranted, determining initial therapy, then assessing when therapy requires modifications or can be discontinued.Areas covered: This manuscript will address the following issues concerning the treatment of pulmonary sarcoidosis: Treatment indications, initial anti-granulomatous therapy, therapy for chronic and fibrotic disease, glucocorticoid therapy, alternative therapy to glucocorticoids, non-granulomatous therapies, and managing complications of disease. Information was obtained through a literature search of PubMed and Web of Science databases.Expert opinion: Although glucocorticoids are highly effective for pulmonary sarcoidosis, their potential to cause significant side effects often mandates consideration of alternative agents. As the most common indication for the treatment of pulmonary sarcoidosis is quality of life impairment, traditional objective tests of lung function and radiographic imagining often have a minor role in therapeutic decision-making. The development of pulmonary fibrosis from sarcoidosis often causes major morbidity and mortality and should be a major focus of concern.

Treatment of sarcoidosis: grading the evidence.

INTRODUCTION: Treatment of sarcoidosis recommendations are often based on clinical experience and expert opinion. However, there are an increasing number of studies which are providing evidence to support decisions regarding treatment. Areas covered: Several studies have identified factors associated with increased risk for organ failure or death ('danger'). There have been several studies focused on the role of treatment to improve quality of life for the patient. Sarcoidosis treatment often follows a progression, based on response. Corticosteroids remain the initial treatment of choice for most patients. Second-line therapy includes cytotoxic agents. Immunosuppressives such as methotrexate, azathioprine, leflunomide, and mycophenolate have all been reported as effective in sarcoidosis. Biologics and other agents are third-line therapy. The monoclonal antibodies directed against tumor necrosis factor have been shown to be particularly effective for advanced disease. Infliximab has been the most studied drug in this class. Newer treatments, including repository corticotropin injection and rituximab have been reported as effective in some cases. Expert commentary: In this review, we use the GRADE system to evaluate the currently available evidence and make recommendations regarding treatment.