Evaluación poblacional del impacto del nivel socioeconómico en los resultados clínicos en pacientes con insuficiencia cardiaca en entornos de atención integrada / Population-based evaluation of the impact of socioeconomic status on clinical outcomes in patients with heart failure in integrated care settings

Introduction and objectives: Low socioeconomic status (SES) is associated with poor outcomes in patients with heart failure (HF). We aimed to examine the influence of SES on health outcomes after a quality of care improvement intervention for the management of HF integrating hospital and primary care resources in a health care area of 209 255 inhabitants.MethodsWe conducted a population-based pragmatic evaluation of the implementation of an integrated HF program by conducting a natural experiment using health care data. We included all individuals consecutively admitted to hospital with at least one ICD-9-CM code for HF as the primary diagnosis and discharged alive in Catalonia between January 1, 2015 and December 31, 2019. We compared outcomes between patients exposed to the new HF program and those in the remaining health care areas, globally and stratified by SES.ResultsA total of 77 554 patients were included in the study. Death occurred in 37 469 (48.3%), clinically-related hospitalization in 41 709 (53.8%) and HF readmission in 29 755 (38.4%). On multivariate analysis, low or very low SES was associated with an increased risk of all-cause death and clinically-related hospitalization (all Ps <.05). The multivariate models showed a significant reduction in the risk of all-cause death (HR, 0.812; 95%CI, 0.723-0.912), clinically-related hospitalization (HR, 0.886; 95%CI, 0.805-0.976) and HF hospitalization (HR, 0.838; 95%CI, 0.745-0.944) in patients exposed to the new HF program compared with patients exposed to the remaining health care areas and this effect was independent of SES.ConclusionsAn intensive transitional HF management program improved clinical outcomes, both overall and across SES strata. (AU)

Introducción y objetivos: El nivel socioeconómico (NSE) bajo se asocia con malos resultados en pacientes con insuficiencia cardiaca (IC). Nuestro objetivo es examinar la influencia del NSE en los resultados de salud tras una intervención de mejora de la calidad en el abordaje de la IC en un área de salud integrada de 209.255 habitantes.MétodosSe efectuó una evaluación pragmática poblacional utilizando bases de datos administrativas y sanitarias. Se incluyó a todas las personas consecutivas hospitalizadas con un código CIE-9-CM de IC como diagnóstico principal y dadas de alta vivas en Cataluña entre el 1 de enero de 2015 y el 31 de diciembre de 2019. Se compararon los resultados entre los pacientes expuestos al nuevo programa de IC y los de las demás áreas asistenciales, en general y según su NSE.ResultadosSe incluyó a 77.554 pacientes. Los eventos adversos fueron: muerte en 37.469 (48,3%), hospitalización clínicamente relacionada en 41.709 (53,8%) y reingreso por IC en 29.755 (38,4%). El NSE bajo o muy bajo se asoció con un mayor riesgo de eventos clínicos adversos (p <0,05). Se observó una reducción significativa del riesgo de muerte (HR=0,812; IC95%, 0,723-0,912), hospitalización relacionada con la clínica (HR=0,886; IC95%, 0,805-0,976) y por IC (HR=0,838; IC95%, 0,745-0,944) en los pacientes expuestos al nuevo programa frente a los de las demás áreas sanitarias y este efecto fue independiente del NSE.ConclusionesUn programa de atención transicional para la IC mejoró los resultados clínicos, tanto en general como en todos los estratos de NSE. (AU)

Soluble Transferrin Receptor as Iron Deficiency Biomarker: Impact on Exercise Capacity in Heart Failure Patients.

The soluble transferrin receptor (sTfR) is a marker of tissue iron status, which could indicate an increased iron demand at the tissue level. The impact of sTfR levels on functional capacity and quality of life (QoL) in non-anemic heart failure (HF) patients with otherwise normal systemic iron status has not been evaluated. We conducted an observational, prospective, cohort study of 1236 patients with chronic HF. We selected patients with normal hemoglobin levels and normal systemic iron status. Tissue iron deficiency (ID) was defined as levels of sTfR > 75th percentile (1.63 mg per L). The primary endpoints were the distance walked in the 6 min walking test (6MWT) and the overall summary score (OSS) of the Minnesota Living with Heart Failure Questionnaire (MLHFQ). The final study cohort consisted of 215 patients. Overall QoL was significantly worse (51 ± 27 vs. 39 ± 20, p-value = 0.006, respectively), and the 6 MWT distance was significantly worse in patients with tissue ID when compared to patients without tissue ID (206 ± 179 m vs. 314 ± 155, p-value < 0.0001, respectively). Higher sTfR levels, indicating increased iron demand, were associated with a shorter distance in the 6 MWT (standardized ß = -0.249, p < 0.001) and a higher MLHFQ OSS (standardized ß = 0.183, p-value = 0.008). In this study, we show that in patients with normal systemic iron parameters, higher levels of sTfR are strongly associated with an impaired submaximal exercise capacity and with worse QoL.

Population-based evaluation of the impact of socioeconomic status on clinical outcomes in patients with heart failure in integrated care settings.

INTRODUCTION AND OBJECTIVES: Low socioeconomic status (SES) is associated with poor outcomes in patients with heart failure (HF). We aimed to examine the influence of SES on health outcomes after a quality of care improvement intervention for the management of HF integrating hospital and primary care resources in a health care area of 209 255 inhabitants. METHODS: We conducted a population-based pragmatic evaluation of the implementation of an integrated HF program by conducting a natural experiment using health care data. We included all individuals consecutively admitted to hospital with at least one ICD-9-CM code for HF as the primary diagnosis and discharged alive in Catalonia between January 1, 2015 and December 31, 2019. We compared outcomes between patients exposed to the new HF program and those in the remaining health care areas, globally and stratified by SES. RESULTS: A total of 77 554 patients were included in the study. Death occurred in 37 469 (48.3%), clinically-related hospitalization in 41 709 (53.8%) and HF readmission in 29 755 (38.4%). On multivariate analysis, low or very low SES was associated with an increased risk of all-cause death and clinically-related hospitalization (all Ps <.05). The multivariate models showed a significant reduction in the risk of all-cause death (HR, 0.812; 95%CI, 0.723-0.912), clinically-related hospitalization (HR, 0.886; 95%CI, 0.805-0.976) and HF hospitalization (HR, 0.838; 95%CI, 0.745-0.944) in patients exposed to the new HF program compared with patients exposed to the remaining health care areas and this effect was independent of SES. CONCLUSIONS: An intensive transitional HF management program improved clinical outcomes, both overall and across SES strata.

Breaking the 30-day barrier: Long-term effectiveness of a nurse-led 7-step transitional intervention program in heart failure.

BACKGROUND AND AIMS: Heart failure (HF) programs successfully reduce 30-day readmissions. However, conflicting data exist about its sustained effects afterwards and its impact on mortality. We evaluated whether the impact of a new nurse-led coordinated transitional HF program extends to longer periods of time, including 90 and 180 days after discharge. METHODS AND RESULTS: We designed a natural experiment to undertake a pragmatical evaluation of the implementation of the program. We compared outcomes between patients discharged with HF as primary diagnosis in Period #1 (pre-program; Jan 2017-Aug 2017) and those discharged during Period #2 (HF program; Sept 2017-Jan 2019). Primary endpoint was the composite of all-cause death or all-cause hospitalization 90 and 180 days after discharge. 440 patients were enrolled: 123 in Period #1 and 317 in Period #2. Mean age was 75±9 years. There were more females in Period #2 (p = 0.025), with no other significant differences between periods. The primary endpoint was significantly reduced in the HF program group, at 90 [adjusted OR 0.31 (0.18-0.53), p <0.001] and at 180 days [adjusted OR 0.18 (CI 0.11-0.32), p <0.001]. Such a decrease was due to a reduction in cardiovascular (CV) and HF hospitalization. All-cause death was reduced when a double check discharge planning was implanted compared to usual care [0 (0%) vs. 7 (3.8%), p = 0.022]. CONCLUSION: A new nurse-led coordinated transitional bundle of interventions model reduces the composite endpoint of all-cause death and all-cause hospitalization both at 90 and 180 days after a discharge for HF, also in high-risk populations. Such a decrease is driven by a reduction of CV and HF hospitalization. Reduction of all-cause mortality was also observed when the full model including a more exhaustive discharge planning process was implemented.

Usefulness of telemedicine-based heart failure monitoring according to 'eHealth literacy' domains: Insights from the iCOR randomized controlled trial.

BACKGROUND: The potential positive effect of electronic health (eHealth)-based heart failure (HF) monitoring remains uncertain mainly in the 'low literacy' or 'computer or digital illiterate' patients. The aim of this study was to determine the effectiveness of a telemedicine (TM)-based managed care solution across literacy levels and information and communications technology (ICT) skills. METHODS: We performed a sub-analysis on the basis of two literacy domains encompassed in the definition of 'eHealth literacy' to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomized study comparing TM vs. usual care (UC) in HF-patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The event rates of primary and secondary study endpoints were calculated for each literacy domains and its combination. Cox proportional-hazards regression models were used to evaluate the effect of 'eHealth literacy' dimensions, treatment group and the interaction term 'eHealth literacy' domains by treatment group on study endpoints. RESULTS: The beneficial effect of TM compared to UC strategy was consistent across all literacy domains (p-value for interaction 0.207 and 0.117 respectively). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC in both clustered in the 'lower literacy' (p-value=0.001) and those allocated to the 'lower ICT skills' (p-value=0.001) subgroup. CONCLUSIONS: Non-invasive eHealth-based HF monitoring tools are effective compared to UC in preventing HF events in the early post-discharge period, regardless of two 'eHealth literacy' domains ('traditional and computer literacy').