Quantitative fluid overload in severe aortic stenosis refines cardiac damage and associates with worse outcomes

Aims: Cardiac decompensation in aortic stenosis (AS) involves extra-valvular cardiac damage and progressive fluid overload (FO). FO can be objectively quantified using bioimpedance spectroscopy. We aimed to assess the prognostic value of FO beyond established damage markers to guide risk stratification. Methods and results: Consecutive patients with severe AS scheduled for transcatheter aortic valve implantation (TAVI) underwent prospective risk assessment with bioimpedance spectroscopy (BIS) and echocardiography. FO by BIS was defined as ≥1.0 L (0.0 L = euvolaemia). The extent of cardiac damage was assessed by echocardiography according to an established staging classification. Right-sided cardiac damage (rCD) was defined as pulmonary vasculature/tricuspid/right ventricular damage. Hospitalization for heart failure (HHF) and/or death served as primary endpoint. In total, 880 patients (81 ± 7 years, 47% female) undergoing TAVI were included and 360 (41%) had FO. Clinical examination in patients with FO was unremarkable for congestion signs in >50%. A quarter had FO but no rCD (FO+/rCD−). FO+/rCD+ had the highest damage markers, including N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. After 2.4 ± 1.0 years of follow-up, 236 patients (27%) had reached the primary endpoint (29 HHF, 194 deaths, 13 both). Quantitatively, every 1.0 L increase in bioimpedance was associated with a 13% increase in event hazard (adjusted hazard ratio 1.13, 95% confidence interval 1.06–1.22, p < 0.001). FO provided incremental prognostic value to traditional risk markers (NT-proBNP, EuroSCORE II, damage on echocardiography). Stratification according to FO and rCD yielded worse outcomes for FO+/rCD+ and FO+/rCD−, but not FO−/rCD+, compared to FO−/rCD−. Conclusion: Quantitative FO in patients with severe AS improves risk prediction of worse post-interventional outcomes compared to traditional risk assessment

Perceptions of Practitioners on Telehealth and App Use for Smoking Cessation and COPD Care—An Exploratory Study

Background and objectives: With the digitalization of modern healthcare delivery, digital media adoption in clinical practice is increasing. Also, healthcare professionals are more and more confronted with patients using smartphone-based health applications (apps). This exploratory study aimed at surveying perceptions on such apps in the context of lung health among a cross section of Austrian practitioners involved in pulmonary care. Materials and Methods: The online questionnaire in German assessed socio-demographic characteristics, telehealth readiness as well as opinions on smoke-free and COPD (chronic obstructive pulmonary disease) apps. We used descriptive statistics to report the finding. Results: We received valid responses from 55 participants (mean age 52.3 years, 69.1% males). Telehealth readiness was medium, indicating existence of certain barriers adversely impacting telehealth use. As for apps targeting smoking cessation and COPD, respondents indicated high relevance for visualization aspects for patients and control/overview features for the treating doctors. Only 40% of participants indicated that they would recommend a COPD app to an older patient. Conclusions: In smoking cessation therapy, doctors commonly adhere to the &ldquo;5 A&rsquo;s&rdquo;: Ask, Advise, Assess, Assist, and Arrange. We suggest adding &ldquo;App&rdquo; as sixth A, assuming that in patient follow-up most of the other A&rsquo;s could also be supported or even replaced by app features in the challenging task to tackle smoking-associated non-communicable diseases

Comparison of Hepatic Tissue Characterization between T1-Mapping and Non-Contrast Computed Tomography

Background: Non-contrast computed tomography (CT) is frequently used to assess non-alcoholic/metabolic fatty liver disease (NAFLD/MAFLD), which is associated with cardiovascular risk. Although liver biopsy is considered the gold standard for diagnosis, standardized scores and non-contrast computed tomography (CT) are used instead. On standard cardiac T1-maps on cardiovascular imaging (CMR) exams for myocardial tissue characterization hepatic tissue is also visible. We hypothesized that there is a significant correlation between hepatic tissue T1-times on CMR and Hounsfield units (HU) on non-contrast CT. Methods: We retrospectively identified patients undergoing a non-contrast CT including the abdomen, a CMR including T1-mapping, and laboratory assessment within 30 days. Patients with storage diseases were excluded. Results: We identified 271 patients (62 ± 15 y/o, 49% female) undergoing non-contrast CT and CMR T1-mapping within 30 days. Mean hepatic HU values were 54 ± 11 on CT and native T1-times were 598 ± 102 ms on CMR and there was a weak, but significant, correlation between these parameters (r = −0.136, p = 0.025). On age and sex adjusted regression analysis, lower liver HU values indicated a dismal cardiometabolic risk profile, including higher HbA1C (p = 0.005) and higher body mass index (p p = 0.045) and higher NT-proBNP values (N-Terminal Brain Natriuretic Peptide) (p = 0.004). Conclusions: Hepatic T1-times are easy to assess on standard T1-maps on CMR but only weakly correlated with hepatic HU values on CT and clinical NAFLD/MAFLD scores. Liver T1-times, however, are linked to impaired systolic function and higher natriuretic peptide levels. The prognostic value and clinical usefulness of hepatic T1-times in CMR cohorts warrants further research