Cardiovascular Medicine

Association Between Device-Detected Obstructive Sleep Apnea and Atrial Arrhythmia Burden in Patients Monitored by HeartLogic-Enabled Cardiac Devices: A Retrospective Cohort Study

1. Dylan Rajaratnam
2. Justin Tan
3. Kathryn Wales
4. Andrew Hopkins
5. Joseph Assad
6. Hany Dimitri

Reviewed by PREreview

Ferritin and transferrin predict common carotid intima-media thickness in females: a machine-learning informed individual participant data meta-analysis

1. Anand Ruban Agarvas
2. Richard Sparla
3. Janice L Atkins
4. Claudia Altamura
5. Todd Anderson
6. Ebru Asicioglu
7. Judit Bassols
8. Abel López-Bermejo
9. Hana Marie Dvořáková
10. José Manuel Fernández-Real
11. Christoph Hochmayr
12. Michael Knoflach
13. Jovana Kusic Milicevic
14. Silvia Lai
15. José María Moreno-Navarrete
16. Dariusz Pawlak
17. Krystyna Pawlak
18. Petr Syrovatka
19. Dorota Formanowicz
20. Pavel Kraml
21. Jose M Valdivielso
22. Luca Valenti
23. Martina U. Muckenthaler

Reviewed by PREreview

Atherosclerosis, Intracranial Aneurysms, and Intermediate Biomarkers: Real-World Observational and Mendelian Randomization Research

1. Wei Liu
2. Zhaoxu Zheng
3. Chenglong Liu
4. Yuanren Zhai
5. Shuang Wang
6. Liangran Huang
7. Rong Wang
8. Yan Zhang
9. Peicong Ge
10. Dong Zhang

• Curated by eLife

  eLife Assessment

  This is valuable work with theoretical implications for possible mediation by MMP12 in the link between atherosclerosis and intracranial aneurysms, using Mendelian Randomization for causal inference. Additional analysis would be required to verify the claims, which currently have incomplete support in terms of the strength of evidence. Given that most of the identified causal associations do not hold after correcting for multiple tests, the conclusions should be carefully reviewed in order to be fully supported by the results.

Reviewed by eLife

Identification of EPHB4 variants in dilated cardiomyopathy patients

1. Guillermo Luxán
2. Marion Muhly-Reinholz
3. Simone F. Glaser
4. Johannes Trebing
5. Christoph Reich
6. Jan Haas
7. Farbod Sedaghat-Hamedani
8. Benjamin Meder
9. Stefanie Dimmeler

Reviewed by Review Commons

Predicting ventricular tachycardia circuits in patients with arrhythmogenic right ventricular cardiomyopathy using genotype-specific heart digital twins

1. Yingnan Zhang
2. Kelly Zhang
3. Adityo Prakosa
4. Cynthia James
5. Stefan L Zimmerman
6. Richard Carrick
7. Eric Sung
8. Alessio Gasperetti
9. Crystal Tichnell
10. Brittney Murray
11. Hugh Calkins
12. Natalia A Trayanova

• Curated by eLife

  eLife assessment

  This important study brings together a clear application of the digital twin approach to make predictions using patient specific models with different genotypes. The data are compelling and go beyond the current state-of-the-art to support proof-of-principle evidence. Given the low subject numbers, further studies will be required going forward to support the veracity of the data and its translational utility.

Reviewed by eLife

Early Diagnosis and Clinical Significance of Acute Cardiac Injury - Under the Iceberg: A Retrospective Cohort Study of 619 Non-critically Ill Hospitalized COVID-19 Pneumonia Patients

1. Yang Xie
2. Sichun Chen
3. Xueli Wang
4. Baige Li
5. Tianlu Zhang
6. Xingwei He
7. Ningling Sun
8. Luyan Wang
9. Hesong Zeng
10. Yin Shen

Reviewed by ScreenIT