Can non-invasive cardiac hemodynamics and fluid content system (NICaS) parameters predict Acute Heart Failure outcomes in Caucasian and Asian patients in the emergency department?

PURPOSE

Acute heart failure (AHF) is a serious condition that requires prompt diagnosis and management. To optimize patient care, clinicians need a reliable, non-invasive method to assess hemodynamic parameters and total body congestion. Currently, no standardized technology is widely used for this purpose. However, NICaS technology, which measures hemodynamic parameters based on regional bioimpedance, has shown promise in monitoring AHF patients in a non-invasive and reliable manner. In this study, researchers aimed to evaluate the usefulness of NICaS technology in predicting patients' outcome in Caucasian and Asian AHF patients presenting to the emergency department (ED).

PATIENTS AND METHODS

The study included 40 Caucasian patients from Italy (group A) and 71 Asian patients from Indonesia and Singapore (group B) with a diagnosis of AHF in the ED. The study compared data from NICaS parameters, clinical findings, laboratory, and radiological results with short-term events.

RESULTS

In group A, NICaS data at ED arrival significantly predicted 30-day cardiovascular mortality and rehospitalization. At discharge, a value of cardiac output obtained using NICaS was a significant predictor for 30-day rehospitalization. In group B, NICaS variables, total peripheral resistance index on admission and during 48-72 ​h had prominent AUC compared to clinical congestion score and NT-proBNP in predicting mortality and rehospitalization.

CONCLUSIONS

The results indicate that NICaS technology offers a simple, non-invasive, and reliable method of assessing cardiac hemodynamics and congestion in AHF patients. These measurements may enhance diagnosis, tailor management plans, stratify risk, and predict outcomes in both Caucasian and Asian patients.

Image quality assessment of coronary artery segments using ultra-high resolution dual source photon-counting detector computed tomography

PURPOSE

The study is intended to assess the image quality of ultra-high resolution (UHR) coronary computed tomography angiography (CCTA) performed on dual source photon-counting detector CT (PCD-CT).

METHOD

Consecutive patients, who underwent clinically indicated CCTA on PCD-CT (UHR 120x 0.2 mm collimation), were included. CCTA images were reconstructed at 0.2 mm slice thickness with Bv40, Bv44, Bv48 and Bv56 kernels and quantum iterative reconstruction level 4. Contrast-to-noise (CNR) and signal-to-noise ratios (SNR) were quantified from contrast-enhanced blood and subcutaneous adipose tissue. All reconstructions were scored per coronary segment (18-segment model) for presence, image quality, motion artefacts, stack artefacts, plaque presence and composition, and stenosis degree. Image quality was scored by two independent observers.

RESULTS

Sixty patients were included (median age 62 [25th - 75th percentile: 53-67] years, 45% male, median calcium score 62 [0-217]). The mean heart rate during scanning was 71 ± 11 bpm. Median CTDIvol was 19 [16-22]mGy and median DLP 243 [198-327]mGy.cm. The SNR was 9.3 ± 2.3 and the CNR was 11.7 ± 2.6. Of the potential 1080 coronary segments (60 patients x 18 segments), 255/256 (reader1/reader2) segments could not be assessed for being absent or non-evaluable due to size. Both readers scored 85% of the segments as excellent or very good (Intraclass Correlation Coefficient: 0.88 (95% CI: 0.87-0.90). Motion artefacts were present in 45(5%) segments, stack artefacts in 60(7%) segments and metal artefacts in 9(1%) segments.

CONCLUSION

UHR dual-source PCD-CT CCTA provides excellent or very good image quality in 85% of coronary segments at relatively high heart rates at moderate radiation dose with only limited stack artefacts.