Aims Prior studies have not fully characterized the haemodynamic effects of the angiotensin receptor-neprilysin inhibitor (ARNI) sacubitril/valsartan in heart failure with preserved ejection fraction and pulmonary hypertension (HFpEF-PH). The aim of the Treatment of PH With Angiotensin II Receptor Blocker and Neprilysin Inhibitor in HFpEF Patients With CardioMEMS Device (ARNIMEMS-HFpEF) study is to assess pulmonary artery pressure (PAP) dynamics by means of implanted PAP monitors in patients with HFpEF-PH treated with sacubitril/valsartan. Methods and resultsThis single-arm, investigator-initiated, interventional study included 14 consecutive ambulatory symptomatic HFpEF-PH patients who underwent CardioMEMS implantation prior to enrolment [mean ejection fraction 60.4 ± 7.2%, baseline mean PAP (mPAP) 33.9 ± 7.6 mmHg]. Daily PAP values were examined during three periods: a 6 week period after CardioMEMS implantation and before sacubitril/valsartan treatment (pre-ARNI), a 6 week period with sacubitril/valsartan treatment (ARNI ON), and a 6 week period of sacubitril/valsartan withdrawal (ARNI OFF). The primary endpoint was change in mPAP with and without sacubitril/valsartan. Secondary endpoints included changes in 6 min walking distance, B-line sum in lung ultrasound, and quality of life (QoL). During the study period, 1717 mPAP measurements were recorded. Between pre-ARNI vs. ARNI ON, mPAP significantly declined by À4.99 mmHg [95% confidence interval (CI) À5.55 to À4.43]. Between ARNI ON vs. ARNI OFF, mPAP significantly increased by +2.84 mmHg [95% CI +2.26 to +3.42]. Between pre-ARNI vs. ARNI ON, we found an improvement in 6 min walking distance, B-lines, and QoL. Mean loop diuretic management did not differ between periods. Conclusions Sacubitril/valsartan significantly reduced mPAP in patients with HFpEF-PH, independent of loop diuretic management, together with improvement in functional capacity, lung congestion, and QoL. Sacubitril/valsartan may be a therapeutic alternative in HFpEF-PH.
Intertidal shellfish banks in estuarine areas are influenced by a wide variety of environmental conditions, including the physical and chemical characteristic of the water that floods the grounds. In this study we carry out a cross-comparison of the hydrographic characteristics and nutrient fertilization patterns of the waters that laps the shellfish grounds of a group of five drowned valleys collectively known as "Rías Altas", located in the western Cantabrian coast (NW Iberian Peninsula). This region is affected by coastal upwelling from June to August resulting in a water exchange between the embayments and the shelf varying between 31.5 and 220.5 m 3 s −1. The fresh water discharge followed a seasonal cycle too, with maxima in winter and minima in summer, and longterm average flow rates ranging from 5.9 m 3 s −1 to 22.2 m 3 s −1. Significant differences were observed among the five embayments with regard to temperature and salinity and also with inorganic nutrients, chlorophyll a and particulate organic matter concentrations in the continental waters. Highlights: • Continental waters dictate the different fertilisation patterns among the Rías Altas • Extension and geomorphology of the drainage basins explains continental nutrient inputs • Continental nutrient inputs control organic matter concentrations in the inner rías • Production in the inner rías is extremely P-limited
Background Alcoholic Cardiomyopathy (ACM) remains a prevalent form of toxic-induced heart damage. Whether ACM prognosis depends on the persistence of alcohol consumption is a matter of debate. Purpose We sought to determine predictors of adverse events during long-term follow-up and left ventricular ejection fraction (LVEF) changes between abstainers and non-abstainers. Methods Consecutive patients admitted to a HF clinic from 2001 to 2020 with ACM were included. The primary endpoint was the composite of all-cause death or HF hospitalization. HF hospitalization was analyzed as a secondary outcome. Changes in LVEF at 1- and 3-years follow-up according to discontinuation of alcohol consumption was also analyzed. Multivariable Cox regression analyses were performed using the competing risk strategy for the secondary endpoint. Results A total of 122 patients were included with a mean age of 57.8±10.0 years and 95.1% (n=116) of males. The mean LVEF was 27.5% ± 10.6 and 11.5% (n=14) exhibited NYHA functional class 3. A total of 92 (75.4%) patients remained abstinent during follow-up; the rest continued with at least moderate alcohol intake. After a median follow-up of 6.8 years (interquartile range: 3.2 to 11.3 years), 59 (48.4%) presented the primary endpoint (45 [36.9%] died and 34 [27.9%] experienced HF readmission). Independent predictors of the primary outcome were age (hazard ratio [HR]: 1.03; 95% confidence interval [CI]: 1.00–1.06; p=0.042), hemoglobin (HR: 0.68; 95% CI: 0.56–0.82; p<0.001) and alcohol abstinence (HR: 0.35; 95% CI: 0.20–0.61; p<0.001). Predictors of HF readmission were hemoglobin (HR: 0.65; 95% CI: 0.50–0.83; p=0.001) and alcohol abstinence (HR: 0.39; 95% CI: 0.17–0.92; p=0.032). Improvement in LVEF was higher in abstainers (27.5±10.6% from baseline to 46.7±13.1% and 49.1±14.3% at 1- and 3-years respectively) than in non-abstainers (27.8±10.3% to 40.3±14.0% and 39.2±16.3% at 1- and 3-years respectively), being these changes in LVEF significantly different between both groups (p=0.004). Conclusions Patients with ACM and who remain abstainers during follow-up exhibit better outcomes and higher LVEF improvement in comparison to non-abstainers. These findings should help to inform lifestyle modification for patients with ACM. Funding Acknowledgement Type of funding sources: None.
Background During two decades we have been screening fragility in outpatients with heart failure (HF) with a multimodality assessment using several geriatric scales, showing that frailty or fragility is frequent in HF patients, even in young patients, and we demonstrated that this identified fragility played an important prognostic role. Frailty is a medical syndrome with multiple causes and contributors that increases outpatients' vulnerability so a minimal stress can cause functional impairment, with a major risk of dependency, even death. Frailty can be reversible or attenuated by interventions. Nowadays several specific scales for fragility or frailty detection are widely available. One of them, the Vulnerable Elderly Survey 13 (VES-13) has scarcely been used in HF. Purpose To assess the prevalence of fragility in an outpatient HF Clinic at first visit using both the VES-13 scale and a multimodality assessment that includes Barthel index, OARS scale, Pfeiffer test, and abbreviated Yesavage Geriatric Depression Scale of 4 items (GDS), and compare the two approaches Methods Nurses fulfilled the scales with the patients at their first visit. An scoring ≥3 in the VES-13 scale and the presence of one of the predefined criteria in the multimodality assessment (Barthel <90; OARS score <10 in women and <6 in men; Pfeiffer Test score >3±1, depending on educational level; one positive depression response in abbreviated GDS; and age >85 years or nobody to turn to for help) were considered to have fragility for the purpose of the study. Results From March 2021 to December 2021, 136 patients were evaluated with the two fragility screening modalities (mean age 68.8±10.8 years, 64% men, 46% from ischaemic aetiology, 65.4%/27.9% in NYHA class II/III, LVEF 39.5% ± 13.4). VES-13 identified 51 (37.5%) patients with fragility, while the multimodality assessment detected 45 (33.6%) patients. Barthel index and depressive symptoms in the GDS were the most altered items (19 and 20 patients respectively) in the multimodality assessment. Concordance between VES-13 and multimodality assessment was 83.8%, but Cohen's Kappa was 0.65, not reaching the suitable level of 0.70. Conclusions VES-13 was capable of identifying a higher number of patients with fragility at first visit in the routine screening performed in an outpatient HF clinic, than the multimodality assessment used in the last decades. Follow-up of patients and further analysis will allow evaluating which of these two approaches adds more value for outcomes prediction. Funding Acknowledgement Type of funding sources: None.
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