Literature DB >> 31871998

Data on patient-reported outcomes and the risk of readmission following a cardiac diagnosis.

Britt Borregaard1,2, Anne Vinggaard Christensen3, Ola Ekholm4, Trine Bernholdt Rasmussen5, Knud Juel4, Astrid Lauberg6, Marianne Vámosi7, Lars Thrysoee2,8, Selina Kikkenborg Berg9.   

Abstract

The data presented in this paper describe a supplementary figure and supplementary tables to the research article; Patient-reported outcomes predict high readmission rates among patients with cardiac diagnoses - Findings from the DenHeart study [1]. The data reports on findings from the DenHeart study, investigating the association between patient-reported outcomes (PROs) and the risk of readmission after a cardiac diagnosis. Data from a national survey with register-based follow-up of a cohort of 34,564 patients were analysed. PROs included the following instruments; The Short Form-12 (SF-12), the Hospital Anxiety and Depression Scale (HADS), the EuroQol 5 Dimensions 5 Levels (EQ-5D 5L), the HeartQol and the Edmonton Symptom Assessment Scale (ESAS). The included tables show the association between PROs and the risk of readmission and the figure illustrates the cumulative incidence function of readmission.
© 2019 The Author(s).

Entities:  

Keywords:  Anxiety; Cardiac readmission; Cardiology; Depression; Patient-reported outcomes; Quality of life

Year:  2019        PMID: 31871998      PMCID: PMC6909064          DOI: 10.1016/j.dib.2019.104859

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Patient-reported outcomes (PROs) are known to be associated with worse outcomes following several cardiac diseases. Thus, data in the current paper provide information on the association between PROs at discharge and the risk of readmission among patients with different cardiac diagnoses. Detailed data on the risk of readmission among patients with arrhythmia, heart failure, congenital heart disease, infectious heart disease, heart valve disease, heart transplant patients and other heart diagnoses are reported. The data can inform health care professionals on the risk of readmission among different cardiac diagnostic groups. This knowledge can inform future treatment and care, as PROs may be used as risk assessment tools in clinical practice.

Data

The data shared in this paper are based on the DenHeart study [[1], [2]]; a national survey with register-based follow-up conducted in Denmark from April 2013 to April 2014. All cardiac patients who were discharged or transferred from one of the five Danish Heart Centres were invited to complete a paper-based questionnaire at discharge. Table 1 outlines the included patient-reported outcome measures of the survey. Table 2 shows the association between patient-reported outcomes (PROs) and cardiac readmissions within one year after discharge, whereas Table 3 shows the association between PROs and acute cardiac readmissions within 30 days after discharge among all patients and patients diagnosed with ischemic heart disease and arrhythmia, respectively. The cumulative incidence functions of all-cause readmissions and acute and elective cardiac readmissions, respectively, with death as a possible competing risk are illustrated in Fig. 1.
Table 1

Included patient-reported outcome measures of the DenHeart survey.

Patient-reported outcome measures
The Short Form-12 (SF-12)A 12-item brief generic instrument measuring overall health status. Two summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS) [7].
The Hospital Anxiety and Depression Scale (HADS)A 14-item disease-specific instrument measuring symptom of anxiety and depression. Subscales: HADS-A (anxiety) and HADS-D (depression) [8].
The EuroQol 5 Dimensions 5 levels (EQ-5D 5L)A standardised measure of health status (generic). The EQ-5D 5L consists of a classification system, the EQ-5D Index Score (5 items), and a Visual Analogue Scale, the EQ-5D VAS (0-100) [9].
The HeartQolA 14-item, disease-specific questionnaire measuring health-related quality of life. Subscales: a global score and two subscales (a physical scale and an emotional scale) [10,11].
The Edmonton Symptom Assessment Scale (ESAS)A generic questionnaire measuring symptom burden, ranging from 0 to 10 [12].
Table 2

Various patient-reported outcomes and the association with cardiac readmissions within one year following hospital discharge.

All patients
Ischemic heart disease
Arrhythmia
Heart failure
Heart valve disease
Observation for heart disease
HR (Cl)aHR (CI)aHR (CI)aHR (CI)aHR (CI)aHR (CI)a
HADS-A≥8 vs.HADS-A<81.24 (1.17–1.32)1.27 (1.15–1.39)1.30 (1.16–1.46)1.14 (0.90–1.44)1.02 (0.82–1.26)1.21 (0.98–1.49)
HADS-D≥8 vs.HADS-D<81.30 (1.21–1.39)1.36 (1.22–1.52)1.41 (1.23–1.62)1.15 (0.88–1.49)0.84 (0.65–1.07)1.40 (1.10–1.79)
SF-12 PCS
Index score per 1 point0.98 (0.98–0.98)0.98 (0.98–0.98)0.98 (0.98–0.99)0.98 (0.96–0.99)1.01 (1.00–1.02)0.98 (0.97–0.99)
SF-12 MCS
Percentiles
<201.41 (1.28–1.55)1.32 (1.13–1.53)1.56 (1.30–1.87)1.32 (0.90–1.95)0.61 (0.42–0.87)1.35 (0.95–1.90)
20–391.21 (1.10–1.34)1.15 (0.98–1.35)1.32 (1.10–1.59)1.05 (0.71–1.57)0.74 (0.52–1.08)1.50 (1.07–2.10)
40–590.96 (0.87–1.06)0.94 (0.81–1.11)1.10 (0.91–1.32)0.77 (0.52–1.13)0.59 (0.41–0.84)0.84 (0.58–1.22)
60–791.01 (0.91–1.11)0.95 (0.81–1.12)1.06 (0.88–1.28)0.97 (0.67–1.41)0.79 (0.56–1.11)0.86 (0.60–1.25)
≥801 (ref)1 (ref)1 (ref)1 (ref)1 (ref)1 (ref)
EQ-5D
Index score per 0.1 point0.91 (0.89–0.93)0.87 (0.85–0.90)0.93 (0.89–0.96)0.91 (0.85–0.97)1.09 (1.02–1.17)0.91 (0.86–0.97)
HeartQoL
Global
Index score per 1 point0.72 (0.70–0.75)0.76 (0.71–0.80)0.70 (0.66–0.76)0.66 (0.57–0.77)1.20 (1.05–1.38)0.75 (0.65–0.86)
ESAS per 1 point1.01 (1.01–1.01)1.01 (1.01–1.02)1.02 (1.01–1.02)1.02 (1.01–1.02)0.99 (0.99–1.00)1.01 (1.01–1.02)

Hazard ratios with 95% confidence intervals.

HADS-A = Hospital Anxiety and Depression Scale – Anxiety, HADS-D = Hospital Anxiety and Depression Scale – Depression, HR = hazard ratio, CI = confidence interval, MCS = mental component summary, PCS = physical component summary, ESAS = Edmonton Symptom Assessment Scale.

Cox proportional hazards model with age as the time scale adjusted for sex, marital status, education, smoking behaviour, alcohol intake, body mass index and the Tu comorbidity index.

Table 3

Various patient-reported outcomes and the association with acute cardiac readmissions within 30 days following hospital discharge.

All patients
Ischemic heart disease
Arrhythmia
HR (Cl)aHR (CI)aHR (CI)a
HADS-A≥8 vs.HADS-A<81.36 (1.19–1.55)1.33 (1.07–1.65)1.70 (1.23–1.61)
HADS-D≥8 vs.HADS-D<81.57 (1.36–1.81)1.50 (1.18–1.91)1.93 (1.46–2.53)
SF-12 PCS
Index score per 1 point0.98 (0.98–0.99)0.98 (0.97–0.99)0.99 (0.98–1.00)
SF-12 MCS
Percentiles
<201.61 (1.30–2.00)1.06 (0.74–1.53)2.18 (1.43–3.32)
20–391.19 (0.95–1.49)0.90 (0.62–1.31)1.80 (1.18–2.74)
40–591.13 (0.90–1.41)0.91 (0.63–1.32)1.13 (0.72–1.77)
60–790.94 (0.74–1.19)0.70 (0.48–1.02)1.06 (0.68–1.64)
≥801 (ref)1 (ref)1 (ref)
EQ-5D
Index score per 0.1 point0.89 (0.85–0.92)0.87 (0.82–0.93)0.93 (0.87–1.00)
HeartQoL
Global
Index score per 1 point0.73 (0.68–0.80)0.86 (0.75–0.99)0.67 (0.58–0.78)
ESAS per 1 point1.02 (1.01–1.02)1.01 (1.01–1.02)1.02 (1.01–1.03)

Hazard ratios with 95% confidence intervals.

HADS-A = Hospital Anxiety and Depression Scale – Anxiety, HADS-D = Hospital Anxiety and Depression Scale – Depression, HR = hazard ratio, CI = confidence interval, MCS = mental component summary, PCS = physical component summary, ESAS = Edmonton Symptom Assessment Scale.

Cox proportional hazards model with age as the time scale adjusted for sex, marital status, education, smoking behaviour, alcohol intake, body mass index and the Tu comorbidity index.

Fig. 1

The cumulative incidence function of readmission. The Figure illustrates the cumulative incidence function of readmission with death as a possible competing risk. All-cause readmission, acute and elective cardiac readmission are illustrated.

Included patient-reported outcome measures of the DenHeart survey. Various patient-reported outcomes and the association with cardiac readmissions within one year following hospital discharge. Hazard ratios with 95% confidence intervals. HADS-A = Hospital Anxiety and Depression Scale – Anxiety, HADS-D = Hospital Anxiety and Depression Scale – Depression, HR = hazard ratio, CI = confidence interval, MCS = mental component summary, PCS = physical component summary, ESAS = Edmonton Symptom Assessment Scale. Cox proportional hazards model with age as the time scale adjusted for sex, marital status, education, smoking behaviour, alcohol intake, body mass index and the Tu comorbidity index. Various patient-reported outcomes and the association with acute cardiac readmissions within 30 days following hospital discharge. Hazard ratios with 95% confidence intervals. HADS-A = Hospital Anxiety and Depression Scale – Anxiety, HADS-D = Hospital Anxiety and Depression Scale – Depression, HR = hazard ratio, CI = confidence interval, MCS = mental component summary, PCS = physical component summary, ESAS = Edmonton Symptom Assessment Scale. Cox proportional hazards model with age as the time scale adjusted for sex, marital status, education, smoking behaviour, alcohol intake, body mass index and the Tu comorbidity index. The cumulative incidence function of readmission. The Figure illustrates the cumulative incidence function of readmission with death as a possible competing risk. All-cause readmission, acute and elective cardiac readmission are illustrated.

Experimental design, materials, and methods

Population

Adult patients were consecutively included. Exclusion criteria were; patients who were below the age of 18 years, patients without a Danish civil registration number (due to lack of possibility of register-based follow-up) and patients who did not understand Danish. The included patients were grouped based on their ICD-10 diagnosis (primary diagnosis): : I200-I259, T823D, Z951, Z955. I440-I459, I470-I499, Z950, I460, I469, R000, R001, R002, R008A, T750, T754, T821, T828. I500-I509, I420-I438, I110, I517, R570. Q00-Q99, I278A, I279, I280. I109, I300-I320, I330-I339, I389-I390, I400-I418, I328, I398, I514, T826, T827. I050-I060, I340-I372, Z952-Z954, I391, I392, I511A. D151, E780, E785, I119, I260, I270, I272, I278, I279A, I510, I513B, I518, I519, I710-I714, I716, I719, J819, J960, J969, S250, S260, S268, S269, Z958, Z959, T862-T863, Z941, Z943.

Variables

Clinical and sociodemographic data

Clinical and sociodemographic data were obtained from the following national registers: The Danish Civil Registration System [3], the Danish National Patient Register [4] and the Danish Education Register [5]. Data on comorbidities were used to calculate the Tu comorbidity index score, which includes several cardiac-related co-morbidities based on primary and secondary diagnoses [6]. Information on smoking, alcohol consumption, height and weight for calculating body mass index (BMI) were self-reported data and obtained through the survey. These data were used as potential confounders in the current analyses.

Patient-reported outcomes

The following PRO measurements were included in the survey: The Short Form-12 (SF-12): The SF-12 is a brief self-reported measure of overall health status. The scores are expressed in terms of two summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS). A higher score indicates a better health status [7]. The Hospital Anxiety and Depression Scale (HADS): The HADS is composed of 14 items (seven items to assess anxiety, HADS-A, and seven to assess depression, HADS-D). The subscales range from 0 (minimum level) to 21 (maximum level), and the cut-off score ≥ 8 suggests the presence of anxiety or depression [8]. The EuroQol 5 Dimensions 5 Levels (EQ-5D 5L): The EQ-5D 5L is a standardised measure of health status. The EQ-5D 5L consists of a classification system, the EQ-5D Index Score, and a Visual Analogue Scale, the EQ-5D VAS. Higher scores indicate a better self-perceived health [9]. The HeartQol: The HeartQol is a 14-item, disease-specific questionnaire measuring health-related quality of life in cardiac patients. The HeartQol is expressed in a global score and two subscales (a physical scale and an emotional scale). The scales range from 0 to 3, with better scores indicating a better self-rated quality of life [10,11]. The Edmonton Symptom Assessment Scale (ESAS): The ESAS assess symptoms, including pain, tiredness, nausea, depression, anxiety, drowsiness, appetite, well-being and shortness of breath. The scores of ESAS range from 0 to 10, with lower scores indicating better status [12].

Readmission and mortality

Readmissions were defined as admissions occurring more than 24 hours after the index admission and were obtained from the Danish National Patient Register [4]. Readmissions up to one year after the index admission were included. In this dataset, we included both planned (elective) and unplanned (acute) readmissions, which were pre-defined based on data from the registry. Similarly, causes of readmissions were based on the ICD-10 coding. Data on all-cause mortality were obtained from the Danish Civil Registration System [3].

Statistical analyses

To investigate the association between PROs and the risk of readmission, multivariable Cox proportional hazard models were performed with age as the underlying time scale. Results were reported as hazard ratios (HR) with 95% confidence intervals (CI). The models were adjusted for potential confounders (sex, marital status, educational level, smoking, alcohol intake, body mass index (BMI) and co-morbidity). The models were performed for the overall population and stratified by diagnostic groups, Table 2, Table 3 The proportional hazard assumption and linear effects were checked graphically, and the assumption was met for all continuous scores, except the SF-12 MCS, which therefore was divided into quintiles for this score. The HADS-subscales were included as dichotomous variables (≥8 vs < 8). To account for death as a competing risk, the incidence of readmission was evaluated using a cumulative incidence function in a Fine and Gray Proportional Hazard Model [13], Fig. 1. SAS version 9.4 was used for the analyses.

Funding

The study was funded by Rigshospitalet, Herlev-Gentofte Hospital, Odense University Hospital, Aarhus University Hospital, Aalborg University Hospital and the Novo Nordisk Foundation (grant number: 7229).

Specifications Table

SubjectHealth science
Specific subject areaCardiology and Cardiovascular Medicine
Type of dataTables, figure
How data were acquiredSurvey data (validated, licensed patient-reported outcome measures)Register-based data
Data formatAnalysed
Parameters for data collectionThe survey data included the following patient-reported outcome measures: Included the validated standardised questionnaires Short Form-12 (SF-12), the Hospital Anxiety and Depression Scale (HADS), the EuroQol 5 Dimensions 5 Levels (EQ-5D 5L), the HeartQol and the Edmonton Symptom Assessment Scale (ESAS)Clinical and socio-demographic data were register-based and obtained from the Danish National Patient Register, the Danish Civil Registration System and the Danish Education Register.
Description of data collectionA national survey, including six validated patient-reported outcome measurements and register-based follow-up data. The questionnaire was handed out at discharge from one of the five Danish Heart Centres from April 2013 to April 2014.
Data source locationStatistics Denmark, Copenhagen, Denmark
Data accessibilityThe raw data (anonymised) can become available by request to the DenHeart-publication committee (www.denheart.dk) and after approval by the Danish Data Protection Agency. Potential access to data will be provided through Statistics Denmark.
Related research articleVámosi M, Lauberg A, Borregaard B, Christensen AV, Thrysoee L, Rasmussen TB, Ekholm O, Juel K, Berg SK. Patient-reported outcomes predict high readmission rates among patients with cardiac diagnosesFindings from the DenHeart study. International Journal of Cardiology. DOI: https://doi.org/10.1016/j.ijcard.2019.09.046.
Value of the Data

Patient-reported outcomes (PROs) are known to be associated with worse outcomes following several cardiac diseases. Thus, data in the current paper provide information on the association between PROs at discharge and the risk of readmission among patients with different cardiac diagnoses.

Detailed data on the risk of readmission among patients with arrhythmia, heart failure, congenital heart disease, infectious heart disease, heart valve disease, heart transplant patients and other heart diagnoses are reported.

The data can inform health care professionals on the risk of readmission among different cardiac diagnostic groups. This knowledge can inform future treatment and care, as PROs may be used as risk assessment tools in clinical practice.

  11 in total

1.  Danish Education Registers.

Authors:  Vibeke M Jensen; Astrid W Rasmussen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

2.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

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

Authors:  Marianne Vámosi; Astrid Lauberg; Britt Borregaard; Anne Vinggaard Christensen; Lars Thrysoee; Trine Bernholdt Rasmussen; Ola Ekholm; Knud Juel; Selina Kikkenborg Berg
Journal:  Int J Cardiol       Date:  2019-10-10       Impact factor: 4.164

4.  The HeartQoL: part II. Validation of a new core health-related quality of life questionnaire for patients with ischemic heart disease.

Authors:  Neil Oldridge; Stefan Höfer; Hannah McGee; Ronan Conroy; Frank Doyle; Hugo Saner
Journal:  Eur J Prev Cardiol       Date:  2012-07-20       Impact factor: 7.804

5.  The HeartQoL: Part I. Development of a new core health-related quality of life questionnaire for patients with ischemic heart disease.

Authors:  Neil Oldridge; Stefan Höfer; Hannah McGee; Ronan Conroy; Frank Doyle; Hugo Saner
Journal:  Eur J Prev Cardiol       Date:  2012-07-20       Impact factor: 7.804

6.  The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients.

Authors:  E Bruera; N Kuehn; M J Miller; P Selmser; K Macmillan
Journal:  J Palliat Care       Date:  1991       Impact factor: 2.250

7.  The Danish Civil Registration System.

Authors:  Carsten Bøcker Pedersen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

8.  The Danish National Patient Register.

Authors:  Elsebeth Lynge; Jakob Lynge Sandegaard; Matejka Rebolj
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

9.  The hospital anxiety and depression scale.

Authors:  A S Zigmond; R P Snaith
Journal:  Acta Psychiatr Scand       Date:  1983-06       Impact factor: 6.392

10.  Patient-reported outcomes at hospital discharge from Heart Centres, a national cross-sectional survey with a register-based follow-up: the DenHeart study protocol.

Authors:  Selina Kikkenborg Berg; Jette Svanholm; Astrid Lauberg; Britt Borregaard; Margrethe Herning; Anna Mygind; Anne Vinggaard Christensen; Anne Illemann Christensen; Ola Ekholm; Knud Juel; Lars Thrysøe
Journal:  BMJ Open       Date:  2014-05-02       Impact factor: 2.692

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