Evidence map›Paper›PMID 40445485›Full record

ArticleThe international journal of cardiovascular imaging2025

Screening for cardiac involvement in patients with sarcoidosis using AIIMS algorithm.

Devesh Kumar, Karan Madan, Priya Jagia, Chetan Patel, R Lakshmy, Ambuj Roy

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Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Devesh KumarDepartment of Cardiology, Cardiothoracic Centre, All India Institute of Medical Sciences, Room No. 20, 7th Foor, New Delhi, 110029, India.
Karan MadanDepartment of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Priya JagiaDepartment of Cardiac Radiology, All India Institute of Medical Sciences, New Delhi, India.
Chetan PatelDepartment of Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, India.
R LakshmyDepartment Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi, India.
Ambuj RoyDepartment of Cardiology, Cardiothoracic Centre, All India Institute of Medical Sciences, Room No. 20, 7th Foor, New Delhi, 110029, India. drambujroy@aiims.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac involvement worsens the prognosis of patients with sarcoidosis. Early diagnosis and treatment of cardiac involvement may improve patient outcomes. Diagnostic algorithms are a gateway to advanced imaging. Heart Rhythm Society (HRS) screening algorithm is commonly used and comprises the presence of cardiac symptoms, electrocardiography and conventional echocardiography. In this study, we aimed to test whether the addition of global longitudinal strain and biomarkers (Troponin & NT Pro-BNP) can improve the detection rate of cardiac involvement (AIIMS screening algorithm). A total of 100 patients with biopsy-proven sarcoidosis were screened for cardiac involvement. This included cardiac symptoms, NT-Pro-BNP levels, Troponin I levels, electrocardiography, and echocardiography including global longitudinal strain (GLS). Patients who were positive for any underwent cardiac MRI or radionuclide cardiac imaging to confirm the presence of cardiac sarcoidosis. Of the 100 patients screened, 23% had cardiac symptoms, 23% had ECG changes, 16% had abnormalities on conventional echocardiography, 32% of patients had abnormal GLS, 16% and 19% of patients were positive for Troponin I and NT-Pro BNP respectively. The HRS and AIIMS screening algorithms detected cardiac involvement in 24 (24%) and 32 (32%) of patients, respectively. Among these patients, 23/24 and 30/32 were confirmed to have cardiac involvement by advanced cardiac imaging. Thus, the AIIMS screening algorithm increased detection of cardiac involvement by 30%. The proposed AIIMS screening algorithm enhances the detection of cardiac involvement in patients with sarcoidosis and should be tested in a larger study.

Indexed as

AlgorithmsCardiomyopathiesEchocardiographyMagnetic Resonance Imaging, CinePeptide FragmentsSarcoidosisTroponin IAdultAgedBiomarkersBiopsyElectrocardiographyFemaleHumansMagnetic Resonance ImagingMaleBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin ICardiac sarcoidosisMagnetic resonance imagingScreening

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.