Back

MRI Findings of Myocardial Fibrosis among Patients Living With HIV: A Systematic Review and Meta-Analysis

Shoar, S.; Khademi, R.; Aponte, M. P.-; Nahata, A.; Hoffman, M. I.; Pinchover, Z.; Harding, W. C.; Aponte, G. P.-

2026-09-29 cardiovascular medicine
10.64898/2026.09.23.26363040 medRxiv
Show abstract

HIV infection significantly elevated the odds of cardiovascular diseases, including myocardial fibrosis. We aimed to determine the difference of late gadolinium enhancement (LGE), extracellular volume (ECV), T1, and T2 using cardiac magnetic resonance imaging (CMR) in patients living with HIV (PLWH) and healthy controls. The databases Scopus, Web of Science, Embase, and PubMed were searched systematically using relevant keywords. STATA version 17 was used for meta-analysis using random effect and fixed effect models for heterogeneous and non-heterogeneous analyses. An overall number of 13 studies were included in the current analysis involving 1425 PLWH and 766 healthy controls. PLWH showed significantly higher LGE (OR: 5.47, 95% CI: 1.90-15.64, p<0.001) and ECV (mean difference: 1.46, 95% CI: 0.21-2.71, p=0.02) compared to controls. However, differences in Left Ventricular Ejection Fraction (LVEF) were not significant (mean difference: -1.41, 95% CI: -2.81- -0.01, p=0.05). There were no meaningful disparities in pro B-type natriuretic peptide (BNP) values (mean difference: 8.67, 95% CI: 0.04-17.29, p=0.05) or T2 values (mean difference: 0.91 ms, 95% CI: -1.04-2.86, p=0.36), but T1 values were significantly higher in PLWH (mean difference: 13.78 ms, 95% CI: 9.16-18.40, p<0.001). In meta regression, LGE was correlated with nadir CD4 (z=-3.41, p-value<0.001). In addition, ECV was correlated with white race (Z=-3.97, p-value<0.001), Hepatitis C (Z=-2.08, p-value=0.037), and smoking (Z=2.05, p-value=0.041). HIV is related to a significantly elevated rate of myocardial fibrosis, and factors such as lower nadir CD4, white race, hepatitis C, and smoking were correlated with hepatitis C. Keywords: Myocardial fibrosis, HIV, AIDS, Cardiovascular diseases, Heart failure

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.