Patient-reported outcomes predict high readmission rates among patients with cardiac diagnoses. Findings from the DenHeart study.

Int J Cardiol

Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark & Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, København N, Denmark. Electronic address:

Published: February 2020

Background: High rates of readmission after myocardial infarction and cardiac surgery have been reported, indicating a heavy burden for both patients and society. Patient-reported outcomes are predictors of adverse outcomes such as morbidity and mortality and may also be useful in preventive risk assessment as predictors of readmission.

Aim: To describe (i) the prevalence of cardiac readmissions one year after hospital discharge among cardiac patients, (ii) patient-reported outcomes at hospital discharge as predictors of readmission.

Methods: The following patient-reported outcomes were measured across cardiac diagnoses at hospital discharge from the five heart centres, cardiology and thoracic surgery units, as a part of the national, cross-sectional DenHeart Study: Short-Form 12 (SF-12), Hospital Anxiety and Depression Scale (HADS), EuroQoL (EQ-5D-5L), HeartQoL and the Edmonton Symptom Assessment Scale (ESAS). One year readmissions were obtained from national registers.

Results: A total of 34,564 cardiac patients were discharged of whom 16,712 patients completed the questionnaire. A total of 11,693 (36%) patients were readmitted for cardiac reasons at least once during the first year after index admission. The risk of readmission was predicted by anxiety (HR = 1.36 (CI:1.26-1.46)) and depression (HR = 1.42 (CI:1.31-1.55)). Higher scores reflected lower readmission risk on the physical (HR = 0.98 (CI:0.98-0.98)) health component of the SF-12.

Conclusion: A total of 36% of cardiac patients admitted to a national heart center were readmitted during the first year. Readmission was predicted by patient-reported anxiety, depression, perceived health, quality of life and symptom distress, which may be used in risk assessment in clinical practice.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijcard.2019.09.046DOI Listing

Publication Analysis

Top Keywords

patient-reported outcomes
16
hospital discharge
12
cardiac patients
12
cardiac
8
cardiac diagnoses
8
denheart study
8
risk assessment
8
anxiety depression
8
readmission predicted
8
patients
7

Similar Publications

Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.

View Article and Find Full Text PDF

Fear of cancer recurrence in long-term colorectal cancer survivors: a nationwide cross-sectional study.

J Cancer Surviv

January 2025

The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.

Purpose: Knowledge about fear of cancer recurrence (FCR) among recurrence-free long-term colorectal cancer survivors (CRCS) is limited. This national cross-sectional study aimed to (1) assess the prevalence and correlates of FCR among CRCS; (2) investigate associations between colorectal cancer-specific symptoms and FCR; and (3) identify predictors of interest in engaging in FCR treatment.

Methods: We identified 9638 living Danish CRCS, age above 18 years, diagnosed between 2014 and 2018 through the Danish Clinical Registries.

View Article and Find Full Text PDF

Revisiting Triple Therapy for HCC: Progress in Survival Outcomes in Patients with Hepatic Vein and/or IVC Tumor Thrombus.

Cardiovasc Intervent Radiol

January 2025

Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.

View Article and Find Full Text PDF

Evidence of antihypertensive drug-related problems (aDRP) is limited in Asian ambulatory care. To better detect aDRP without causing alert fatigue, we investigated whether adding more antihypertensive agents was associated with increasing aDRP risk and factors associated with physician acceptance of aDRP correction. We conducted a cross-sectional study targeting ambulatory prescriptions of Vietnamese patients with hypertension who either received standard therapy (using two or fewer medications, SdT) or standard plus add-on therapy (using more than two medications, SdT + add-on).

View Article and Find Full Text PDF

Prediction of Radiation Therapy Induced Cardiovascular Toxicity from Pretreatment CT Images in Patients with Thoracic Malignancy via an Optimal Biomarker Approach.

Acad Radiol

January 2025

Medical Image Processing Group, 602 Goddard building, 3710 Hamilton Walk, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104 (M.L., M.A., J.K.U., Y.T., C.W., N.P., S.M., D.A.T.). Electronic address:

Rationale And Objectives: Cardiovascular toxicity is a well-known complication of thoracic radiation therapy (RT), leading to increased morbidity and mortality, but existing techniques to predict cardiovascular toxicity have limitations. Predictive biomarkers of cardiovascular toxicity may help to maximize patient outcomes.

Methods: The machine learning optimal biomarker (OBM) method was employed to predict development of cardiotoxicity (based on serial echocardiographic measurements of left ventricular ejection fraction and longitudinal strain) from computed tomography (CT) images in patients with thoracic malignancy undergoing RT.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!