P2263Prognostic impact of perceived social isolation in patients with heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Ikeda ◽  
K Iwatsu ◽  
K Matsumura ◽  
H Ashikawa ◽  
K Takabayashi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Social Isolation ◽  
Roc Curve ◽  
Negative Impact ◽  
Roc Curve Analysis ◽  
Rehospitalization Rate ◽  
Kaplan Meier ◽  
Patients With Heart Failure ◽  
Perceived Social Isolation ◽  
The Relationship

Abstract Background Perceived social isolation (SI), the subjective sense of feelings of loneliness or isolation, has a negative impact on health outcomes, particularly in older adults. Although SI may also contribute to poor prognosis in patients with HF, evidence on the relationship between SI and outcomes in patients with HF is limited. Purpose The aim of this study was to investigate the relationship between SI and hospital readmission in patients with HF. Methods This study was a single center prospective cohort study. We consecutively enrolled 203 patients (mean age 72.9±11.7) who admitted for acute HF or exacerbation of chronic HF. At hospital discharge, we assessed perceived SI by using Lubben Social Network Scale - 6 (LSNS-6). Lower scores in LSNS-6 represents greater SI. Study outcome was rehospitalization for worsening HF within 180 days after discharge. We selected the optimal cutoff point of LSNS-6 that predict a worse outcome by the receiver operating characteristic (ROC) curve analysis. We investigate the association between SI and 180-days HF rehospitalization by using Cox proportional-hazard models, controlling for potential confounding factors. Results During follow up, A total of 40events (19.7%) were observed. The optimal cut-off point of LSNS-6 score was 17 points (the area under the ROC curve: 0.62, p<0.05, sensitivity: 82.5%, specificity 42.4%). Kaplan-Meier survival curves showed that those patients with greater SI (LSNS-6≤17) presented significantly higher HF rehospitalization rate (Figure). After adjusting for several pre-existing prognostic factors, LSNS-6≤17 was independently associated with HF rehospitalization (hazard ratio2.15,95% confidence interval 1.00–4.89). Conclusion The present study shows that SI is a independent predictor of HF rehospitalization in patients with HF. Assessing SI in the clinical practice with a brief screening tool may help identify patients with heart failure at greater risk of rehospitalization.

scholarly journals Perceived Social Isolation and Outcomes in Patients With Heart Failure

2018 ◽  
Vol 7 (11) ◽  
Author(s):  
Sheila M. Manemann ◽  
Alanna M. Chamberlain ◽  
Véronique L. Roger ◽  
Joan M. Griffin ◽  
Cynthia M. Boyd ◽  
...  
Keyword(s):  
Heart Failure ◽  
Social Isolation ◽  
Patients With Heart Failure ◽  
Perceived Social Isolation

Social isolation is associated with 90-day rehospitalization due to heart failure

2018 ◽  
Vol 18 (1) ◽  
pp. 16-20 ◽  
Author(s):  
Hiroshi Saito ◽  
Nobuyuki Kagiyama ◽  
Noriko Nagano ◽  
Kozue Matsumoto ◽  
Kenji Yoshioka ◽  
...  
Keyword(s):  
Heart Failure ◽  
Social Isolation ◽  
Strong Association ◽  
Living Alone ◽  
Rehospitalization Rate ◽  
The Social ◽  
Patients With Heart Failure ◽  
Socially Isolated ◽  
Selection Operator

Background: Social isolation has been reported to be associated with decreased quality of life and the onset of organic diseases. The objective of this study was to investigate the prevalence of social isolation in patients with heart failure and whether it is associated with rehospitalization. Methods and results: The study included consecutive patients aged ⩾55 years who were hospitalized due to heart failure. Social isolation was assessed using total scores less than 12 on an abbreviated version of the Lubben Social Network Scale. The endpoint was heart failure rehospitalization within 90 days after discharge. Among 148 patients with heart failure (80±8 years old, 51% male), 73 (49%) were socially isolated. The patients with social isolation had similar comorbidities compared with those without social isolation. Heart failure rehospitalization occurred within 90 days for 25 patients and the heart failure rehospitalization rate was significantly higher in the social isolation group ( p=0.036). LASSO (least absolute shrinkage and selection operator) regression confirmed that social isolation was one of the strongest predictors of heart failure rehospitalization, showing larger effects than living alone, being unemployed, and other established risk factors. Conclusion: Half of the patients with heart failure reported social isolation, which had a strong association with heart failure rehospitalization.

scholarly journals Prognostic value of baseline versus 6-month follow infarct size in patients with reperfused STEMI

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
F Valente ◽  
J Gavara ◽  
M Calvo ◽  
P Rello ◽  
M Maymi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ventricular Arrhythmia ◽  
Infarct Size ◽  
Roc Curve ◽  
Prognostic Value ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Prognostic Information ◽  
Kaplan Meier

Abstract Background Acute infarct size is a predictor of clinical outcomes in acute ST segment elevation myocardial infarction (STEMI) patients, although its prognostic value has differed between studies. In acute STEMI, infarct size is often overestimated due to the presence of extensive myocardial oedema, a confounder that is no longer present at a 6-month follow-up study. It was our purpose to assess whether infarct size in the acute phase or at 6-months follow-up provided superior prognostic information in STEMI patients. Methods STEMI patients who underwent successful primary percutaneous revascularization were included and a cardiac magnetic resonance (CMR) was performed between 5–7 days after STEMI and at 6 months to study infarct size (as a % of myocardial mass). The primary endpoint was a composite of cardiovascular mortality, hospitalization for heart failure and ventricular arrhythmia. Results A total of 796 patients were included (mean age 58.3±11.5 years, 82.4% male, 52.3% anterior infarction). During a mean follow-up of 59 months, 59 patients (7.4%) presented with the primary end-point (cardiovascular death n=7, hospitalization for heart failure n=52, ventricular arrhythmia n=1). ROC curve analysis (figure 1) showed a non-significant difference between baseline and 6-month infarct size for the prediction of the primary endpoint (baseline AUC 0.685 95% CI 0.610–0.760, 6-month AUC 0.713 95% CI 0.643–0.782, p=0.60). Optimal cut-off values for baseline and 6-months follow-up infarct size for prediction of outcomes, respectively 22% and 17.5%, were used for Kaplan-Meier curve analysis (figure 2). Conclusion Infarct size estimated during the first week after STEMI and at 6-months follow-up showed similar predictive value and with similar cut-off values. Therefore, the prognostic information provided by infarct size can be obtained during initial STEMI admission and does not require a waiting period for infarct size stabilization. FUNDunding Acknowledgement Type of funding sources: None. ROC curve analysis Kaplan-Meier analysis

The Need to Belong and the Relationship Between Loneliness and Health

2014 ◽  
Vol 22 (4) ◽  
pp. 194-201 ◽  
Author(s):  
Freda-Marie Hartung ◽  
Britta Renner
Keyword(s):  
Individual Differences ◽  
Social Isolation ◽  
Social Situation ◽  
First Year ◽  
Health State ◽  
Need To Belong ◽  
First Year University ◽  
Perceived Social Isolation ◽  
The Impact ◽  
The Relationship

Humans are social animals; consequently, a lack of social ties affects individuals’ health negatively. However, the desire to belong differs between individuals, raising the question of whether individual differences in the need to belong moderate the impact of perceived social isolation on health. In the present study, 77 first-year university students rated their loneliness and health every 6 weeks for 18 weeks. Individual differences in the need to belong were found to moderate the relationship between loneliness and current health state. Specifically, lonely students with a high need to belong reported more days of illness than those with a low need to belong. In contrast, the strength of the need to belong had no effect on students who did not feel lonely. Thus, people who have a strong need to belong appear to suffer from loneliness and become ill more often, whereas people with a weak need to belong appear to stand loneliness better and are comparatively healthy. The study implies that social isolation does not impact all individuals identically; instead, the fit between the social situation and an individual’s need appears to be crucial for an individual’s functioning.

Acute heart failure: predicting early in-hospital outcomes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
M Santos ◽  
S Paula ◽  
I Almeida ◽  
H Santos ◽  
H Miranda ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Acute Heart Failure ◽  
Roc Curve ◽  
Real Life ◽  
Study Data ◽  
Curve Analysis ◽  
Older Age ◽  
Invasive Ventilation ◽  
Roc Curve Analysis

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Patients (P) with acute heart failure (AHF) are a heterogeneous population. Risk stratification at admission may help predict in-hospital complications and needs. The Get With The Guidelines Heart Failure score (GWTG-HF) predicts in-hospital mortality (M) of P admitted with AHF. ACTION ICU score is validated to estimate the risk of complications requiring ICU care in non-ST elevation acute coronary syndromes. Objective To validate ACTION-ICU score in AHF and to compare ACTION-ICU to GWTG-HF as predictors of in-hospital M (IHM), early M [1-month mortality (1mM)] and 1-month readmission (1mRA), using real-life data. Methods Based on a single-center retrospective study, data collected from P admitted in the Cardiology department with AHF between 2010 and 2017. P without data on previous cardiovascular history or uncompleted clinical data were excluded. Statistical analysis used chi-square, non-parametric tests, logistic regression analysis and ROC curve analysis. Results Among the 300 P admitted with AHF included, mean age was 67.4 ± 12.6 years old and 72.7% were male. Systolic blood pressure (SBP) was 131.2 ± 37.0mmHg, glomerular filtration rate (GFR) was 57.1 ± 23.5ml/min. 35.3% were admitted in Killip-Kimball class (KKC) 4. ACTION-ICU score was 10.4 ± 2.3 and GWTG-HF was 41.7 ± 9.6. Inotropes’ usage was necessary in 32.7% of the P, 11.3% of the P needed non-invasive ventilation (NIV), 8% needed invasive ventilation (IV). IHM rate was 5% and 1mM was 8%. 6.3% of the P were readmitted 1 month after discharge. Older age (p &lt; 0.001), lower SBP (p = 0,035) and need of inotropes (p &lt; 0.001) were predictors of IHM in our population. As expected, patients presenting in KKC 4 had higher IHM (OR 8.13, p &lt; 0.001). Older age (OR 1.06, p = 0.002, CI 1.02-1.10), lower SBP (OR 1.01, p = 0.05, CI 1.00-1.02) and lower left ventricle ejection fraction (LVEF) (OR 1.06, p &lt; 0.001, CI 1.03-1.09) were predictors of need of NIV. None of the variables were predictive of IV. LVEF (OR 0.924, p &lt; 0.001, CI 0.899-0.949), lower SBP (OR 0.80, p &lt; 0.001, CI 0.971-0.988), higher urea (OR 1.01, p &lt; 0.001, CI 1.005-1.018) and lower sodium (OR 0.92, p = 0.002, CI 0.873-0.971) were predictors of inotropes’ usage. Logistic regression showed that GWTG-HF predicted IHM (OR 1.12, p &lt; 0.001, CI 1.05-1.19), 1mM (OR 1.10, p = 1.10, CI 1.04-1.16) and inotropes’s usage (OR 1.06, p &lt; 0.001, CI 1.03-1.10), however it was not predictive of 1mRA, need of IV or NIV. Similarly, ACTION-ICU predicted IHM (OR 1.51, p = 0.02, CI 1.158-1.977), 1mM (OR 1.45, p = 0.002, CI 1.15-1.81) and inotropes’ usage (OR 1.22, p = 0.002, CI 1.08-1.39), but not 1mRA, the need of IV or NIV. ROC curve analysis revealed that GWTG-HF score performed better than ACTION-ICU regarding IHM (AUC 0.774, CI 0.46-0-90 vs AUC 0.731, CI 0.59-0.88) and 1mM (AUC 0.727, CI 0.60-0.85 vs AUC 0.707, CI 0.58-0.84). Conclusion In our population, both scores were able to predict IHM, 1mM and inotropes’s usage.

scholarly journals Interleukin-6 Could Be a Potential Prognostic Factor in Ambulatory Elderly Patients with Stable Heart Failure: Results from a Pilot Study

2021 ◽  
Vol 10 (3) ◽  
pp. 504
Author(s):  
Marina Povar-Echeverría ◽  
Pablo Esteban Auquilla-Clavijo ◽  
Emmanuel Andrès ◽  
Francisco Javier Martin-Sánchez ◽  
María Victoria Laguna-Calle ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Renal Failure ◽  
Interleukin 6 ◽  
Kaplan Meier ◽  
Patients With Heart Failure ◽  
Potential Prognostic Factor ◽  
Fundamental Phenomenon ◽  
Group 2

Introduction: Inflammation is a fundamental phenomenon in heart failure, but the prognostic or therapeutic role of markers such as interleukin-6 (IL-6) has not yet been clarified. The objective of this study is to describe the clinical profile of patients with elevated IL-6 and determine if they have worse clinical outcomes. Methods: A retrospective c.ohort observational study including 78 patients with heart failure followed up at the Heart Failure Outpatient Clinic of the Internal Medicine Department. IL-6 was determined in all patients, who were then assigned into two groups according to IL-6 level (normal or high). Clinical and prognostic data were collected to determine the differences in both groups. Results: The average age was 79 years, 60% female. A total of 53.8% of the patients had elevated IL-6 (group 2). Patients with elevated IL-6 presented more frequently with anemia mellitus (64.3% vs. 41.7%; p = 0.046), atrial fibrillation (83.3% vs. 61.9% p = 0.036), dyslipidemia (76.2% vs. 58.2%; p = 0.03), higher creatinine levels (1.35 mg/dL vs. 1.08 mg/dL; p = 0.024), lower glomerular filtration rate (43.6 mL/min/m2 vs. 59.9 mL/min/m2; p = 0.007), and anemia 25% vs. 52.4% p = 0.014. The factors independently associated with the increase in IL-6 were anemia 3.513 (1.163–10.607) and renal failure 0.963 (0.936–0.991), p < 0.05. Mortality was higher in the group with elevated IL-6 levels (16% vs. 2%; p = 0.044) with a log-rank p = 0.027 in the Kaplan–Meier curve. Conclusion: Patients with heart failure and elevated IL-6 most often have atrial fibrillation, diabetes mellitus, dyslipidemia, anemia, and renal failure. In addition, mortality was higher and a tendency of higher hospital admission was observed in stable HF patients with elevated IL-6.

The relationship between health literacy and self-care in patients with heart failure

2021 ◽  
pp. 1-10
Author(s):  
Katie Nesbitt ◽  
Huiyun Du ◽  
Paul Nolan ◽  
Susie Cartledge ◽  
Parichat Wonggom ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Literacy ◽  
Patient Group ◽  
Care Management ◽  
Self Care ◽  
Randomised Control Trial ◽  
Adequate Health Literacy ◽  
Patients With Heart Failure ◽  
Literacy Knowledge ◽  
The Relationship

Background/Aims Research has shown that health literacy can influence an individual's ability to practise self-care, particularly for patients with heart failure. This study aimed to assess health literacy and its relationship with heart failure knowledge and self-care practices in this patient group. Methods An observational sub-study was conducted with the data from a large randomised control trial that evaluated the relationship between patients' health literacy, general literacy, knowledge of heart failure and self-care. Results A total of 36 participants were recruited, of which 33 (89.9%) had adequate levels of health literacy. Health literacy was positively associated with heart failure knowledge. However, 67.7% of participants with adequate health literacy were found to have inadequate levels of self-care management. Conclusions Health literacy may facilitate better heart failure knowledge, but it does not necessarily lead to improved self-care management in patients with heart failure. This suggest that clinicians need to put more emphasis on translating knowledge into behavioural changes for self-care in this patient group.

Evaluation of a multimarker panel in chronic heart failure: a 10-year follow-up

2021 ◽  
Author(s):  
Susanne Bauer ◽  
Christina Strack ◽  
Ekrem Ücer ◽  
Stefan Wallner ◽  
Ute Hubauer ◽  
...  
Keyword(s):  
Heart Failure ◽  
Prognostic Role ◽  
Blood Samples ◽  
Kaplan Meier ◽  
Risk Of Mortality ◽  
Patients With Heart Failure ◽  
All Cause Mortality ◽  
Long Time

Aim: We assessed the 10-year prognostic role of 11 biomarkers with different pathophysiological backgrounds. Materials & methods/results: Blood samples from 144 patients with heart failure were analyzed. After 10 years of follow-up (median follow-up was 104 months), data regarding all-cause mortality were acquired. Regarding Kaplan–Meier analysis, all markers, except TIMP-1 and GDF-15, were significant predictors for all-cause mortality. We created a multimarker model with nt-proBNP, hsTnT and IGF-BP7 and found that patients in whom all three markers were elevated had a significantly worse long-time-prognosis than patients without elevated markers. Conclusion: In a 10-year follow-up, a combination of three biomarkers (NT-proBNP, hs-TnT, IGF-BP7) identified patients with a high risk of mortality.

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