Using CT to Predict Heart Problems in Patients with Dilated Cardiomyopathy
Author Information
Author(s): Yashima Satomi, Takaoka Hiroyuki, Ota Joji, Matsumoto Moe, Nishikawa Yusei, Noguchi Yoshitada, Aoki Shuhei, Yoshida Kazuki, Suzuki Katsuya, Kinoshita Makiko, Sasaki Haruka, Suzuki-Eguchi Noriko, Kanaeda Tomonori, Kobayashi Yoshio
Primary Institution: Chiba University Graduate School of Medicine
Hypothesis
Can extracellular volume (ECV) measured by cardiac CT predict prognosis in patients with dilated cardiomyopathy and heart failure with reduced ejection fraction?
Conclusion
ECV by CT is helpful to predict major adverse cardiac events in cases with dilated cardiomyopathy and heart failure with reduced ejection fraction.
Supporting Evidence
- 27% of patients experienced major adverse cardiac events during the follow-up.
- Patients with MACE had a higher ECV compared to those without MACE.
- The optimal cutoff value of ECV for predicting MACE was found to be 32.3%.
- Kaplan-Meier analysis showed significantly lower survival rates for patients with ECV ≥ 32.3%.
- Univariate Cox analysis indicated ECV > 32.3% as a significant prognostic factor.
Takeaway
Doctors can use a special CT scan to see how much scar tissue is in the heart, which helps them understand how sick a patient is and what might happen next.
Methodology
The study analyzed 101 DCM patients with HFrEF who underwent cardiac CT to evaluate the impact of ECV on predicting prognosis.
Potential Biases
Selection bias may affect the results as patients were included based on echocardiography and CT findings.
Limitations
The study was retrospective and conducted at two centers, which may limit the generalizability of the findings.
Participant Demographics
The average age of participants was 57.5 years, with 73% being male.
Statistical Information
P-Value
0.0008
Confidence Interval
95% CI 1.88–33.97
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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