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This randomized clinical equivalence trial was designed to evaluate health-related quality of life (HRQoL) after fast-track treatment for low-risk coronary artery bypass (CABG) patients.
Methods
Four hundred and ten CABG patients were randomly assigned to undergo either short-stay intensive care treatment (SSIC, 8 h of intensive care stay) or control treatment (care as usual, overnight intensive care stay). HRQoL was measured at baseline and 1 month, and one year after surgery using the multidimensional index of life quality (MILQ), the EQ-5D, the Beck Depression Inventory and the State-Trait Anxiety Inventory.
Results
At one month after surgery, no statistically significant difference in overall HRQoL was found (MILQ-score P-value = .508, overall MILQ-index P-value = .543, EQ-5D VAS P-value = .593). The scores on the MILQ-domains, physical, and social functioning were significantly higher at one month postoperatively in the SSIC group compared to the control group (P-value = .049; 95%CI: 0.01–2.50 and P-value = .014, 95% CI: 0.24–2.06, respectively). However, these differences were no longer observed at long-term follow-up.
Conclusions
According to our definition of clinical equivalence, the HRQoL of SSIC patients is similar to patients receiving care as usual. Since safety and the financial benefits of this intervention were demonstrated in a previously reported analysis, SSIC can be considered as an adequate fast-track intensive care treatment option for low-risk CABG patients.
Afkortingen
BDI
Beck depression inventory
CABG
Coronary artery bypass grafting
IC
Intensive care
MILQ
Multidimensional index of life quality
HRQoL
Health-related quality of life
SSIC
Short-stay intensive care
STAI-S
State anxiety scale
95% CI
95% confidence interval
Introduction
Rapid technological advancements changed the practice of intensive care medicine in the last few decades. These improvements facilitated the introduction of fast-track protocols for the treatment of cardiac surgical patients, which are very popular as they contribute to a more efficient utilization of the existing care facilities. Various reviews, based on randomized controlled studies, focused on the evaluation of the clinical effectiveness of different types of fast-track treatments [1‐3].
However, for the evaluation of these intensive care interventions it is essential to assess its impact on health-related quality of life [4]. These patient-reported outcomes contain valuable information for intensive care physicians, other healthcare providers, policymakers, patients, and their relatives.
Several fast-track trials incorporated HRQoL as an outcome measure in their evaluations, but only one specific domain with a short follow-up time has been assessed [5‐17]. These limited assessments are helpful in describing the domains of patient outcome in a specific area of HRQoL. However, they are not designed to evaluate either the overall health state [18] or all domains of QoL that may contain important aspects of health. For a comprehensive evaluation of HRQoL, it is important to assess both overall or generic HRQoL and disease-specific HRQoL [19]. We chose to use the EQ-5D, as a generic measure, because it is brief, simple, and easy to administer. The reliability and validity for the EQ-5D has been studied in cardiac patients [20, 21] and in critical care patients [22]. In a previous paper, we also reported generic HRQoL at 1 month after surgery as an outcome measure in the economic evaluation of the short-stay intensive care treatment [23]. The patient’s answers to the five EQ-5D items were used to calculate the utility value (a score of 0–1), based on population weights [24]. In the current study, this outcome was not reported because the aim of this previous paper was to report data from a patient’s point of view and not from a societal perspective. As a disease-specific measure, the multidimensional index of life quality (MILQ) was chosen. Although this questionnaire is not frequently used, its reliability and validity has been tested by Avis et al. [25] for cardio vascular patients. In addition, we were interested in assessing the impact of the fast-track treatment on anxiety and depression, as these psychological aspects of HRQoL may be affected after cardiac surgery [26].
As several studies [22, 27‐29] on intensive care admission have demonstrated the importance of long-term follow-up, in addition to 1-month follow-up, we assessed the impact of the fast-track treatment on HRQoL at 1 year after surgery.
The focus of this randomized clinical equivalence trial is to evaluate the impact of a fast –track protocol, i.e., early discharge -within 8-h of postsurgical coronary artery bypass patients from intensive care to medium care (MC) on disease-specific, generic, and domain-specific (anxious and depressive feelings) HRQoL up to 1 year postoperatively.
Materials and methods
Study design and hypothesis
This single blinded randomized clinical equivalence trial was designed to evaluate the HRQoL of low-risk CABG patients at 1 year postoperatively who were randomized for either short-stay intensive care (SSIC < 8 h) or overnight intensive care stay (control group patients). The choice of the study design was based on the expected therapeutic equivalence of the SSIC treatment and the care as usual. We assumed there would be fewer costs in the SSIC group but comparable clinical effectiveness and QoL outcomes in both trial arms. The clinical- and cost-effectiveness outcomes of the SSIC trial are reported elsewhere [23].
The following hypothesis was formulated to evaluate the primary outcome:
At one-year postoperatively, the disease-specific HRQoL (measured by means of MILQ) will be similar in both groups.
Two additional hypotheses were formulated to assess the secondary outcome measures:
At one year after surgery, both generic HRQoL (measured by means of EQ-5D) and domain-specific HRQoL (measured by means of Beck Depression Inventory and Spielberger State Anxiety Scale) will be similar in both groups.
At one month postoperatively, disease-specific, generic, and domain-specific HRQoL will also be similar for both groups.
Patients
All CABG patients who were admitted to the University Hospital of Maastricht in the period between February 2001 and March 2003 were considered for inclusion. High-risk CABG patients were separated from the low-risk patients by means of a risk stratification system, based on the criteria of Parsonnet score [30] and the Society of Thoracic Surgeons [31]. The exclusion criteria were defined as follows: age older than 78, ejection fraction of less than 30%, stage 3 obesity (BMI > 40 kg/m2), hemodialysis (kidney-replacing therapy), pulmonary hypertension (systolic pressure < 40 mmHg), recent cardiovascular accident (<1 month), recent myocardial infarction (<24 h), cardiogenic shock (systolic blood pressure < 80 mmHg, -central filling pressure of > 20 mmHg, -cardiac index of < 1.8 Lmin−1m−2), or the need for inotropic therapy (>5 mg/μg−1min−1/dopamine or dobutamine), ongoing infarction (a significant increase in myocardial muscle creatine kinase isoenzyme MB within 4 h before surgery), or the need for intra-aortic balloon pump. Other reasons for exclusion were, for instance, inability to give informed consent, inability to speak/read/understand the Dutch language and emergency surgery. The local ethical and research council approved the study.
Randomization and blinding
Before starting the study, a list of randomly permutated blocks (with a length of 10) were generated for either “control” (n = 300) or “SSIC” (n = 300) by a computer, and the results were entered sequentially into numbered, opaque envelopes, sealed with tape. The envelopes were opened by IC nurses immediately upon IC admission. Patients and the surgical team were blinded to the group assignments.
Treatment
Until IC admission, treatment was similar for both groups. In the IC, both groups received standard IC monitoring. In order to allow the transfer of SSIC patients from IC to MC within 8 h, the discharge criteria described in Table 1 had to be fulfilled. The flow chart (Fig. 1) shows the timelines for both groups. The SSIC patients who did not fulfill the discharge criteria within 8 h and all control group patients were treated according to usual care.
Table 1
Description of criteria for discharge from IC for both control and short-stay intensive care (SSIC) patients
Pulmonary
Patient needs to be extubated for at least 30 min before he/she can be transferred to the MCa
Breathing frequency ≥ 10 ≤ 25 times per minute
Arterial blood gas pO2 > 10 kPab and the PCO2c < 6.0 Kpa, depending on clinical glance can be deviated form this value (in consultation with ward doctor)
Cardiac
Patient has no ongoing infarction (a significant increase in enzyme “CKMB”d) or ischemic changes on the ECGe or arrhythmia with hemodynamic consequences
Fluid balance
Patient has ≤ 100 ml chest tube drainage per hour and a diuresis > 0.5 ml/kg/hour
Neurological
Patient has no signs/symptoms of neurological complications
Hemodynamic and supporting therapy
Patient does not need inotropic support or sodium nitroprusside (NTGf and dopamine (2 mcg/kg/min) are allowed)
Patient does not have an intra-aortic balloon pump
Patient with pulmonary artery catheter: the last measured cardiac index ≥ 2 L/min/m2 or mixed venous saturation (55–60%)
aMC Medium Care
bKpa Kilo Pascal
cPCO2 Partial Pressure of Carbon Dioxide
dCKMB Creatine Kinase Mb
eECG Electrocardiogram
fNTG Nitroglycerine
Fig. 1
Flow chart of patient inclusion (
for reasons see Table 3)
×
For logistical reasons, it was not possible to transfer SSIC patients who fulfilled the criteria for discharge within 8 h from the IC to the MC situated on another floor in the hospital. Consequently, the nurse/patient ratio of one nurse to one patient was maintained. However, the care provided by the nurse was adapted to the MC guidelines. In the morning after surgery, all patients were transferred to a MC ward connected to the general ward. The nurse/patient ratio in this MC was one nurse to two patients. Patients stayed there for another 24 h.
On the second postoperative day, patients were admitted to the general ward, where they stayed until discharge or transfer to the district hospital.
Procedures HRQoL measurement
After obtaining informed consent, HRQoL questionnaires were self-administered by the patients the day before surgery at the hospital, at 1-month and one-year postoperatively at home. If a patient was unable to complete the questionnaire individually, the research nurse performed an interviewed administration. The application of the four HRQoL instruments took almost 20 min and was done in a fixed order, first the EQ-5D, secondly the MILQ, followed by Spielberger State-Trait Anxiety Inventory (STAI-S) and Beck Depression Inventory (BDI). Patients who did not respond to the follow-up questionnaires received a written reminder. If the patients still did not respond, they were contacted by telephone to find out the reasons for non-response.
HRQoL questionnaires
The multidimensional index of life quality (MILQ), a HRQoL measure specially developed for cardiovascular disease, was used to measure disease-specific QoL [25]. In the first item (which is referred to as the “MILQ-score”), the respondent is asked to rate his/her general HRQoL on a seven-point scale (from 1 = worst to 7 = best possible HRQoL score). In the other 35 items, the respondent’s degree of satisfaction with various aspects of quality of life is scored on a seven-point scale (from 1 = very dissatisfied to 1 = very satisfied). These items cover the following nine domains: mental health, physical health, physical functioning, cognitive functioning, social functioning, intimacy, financial status, relationship with health professionals, and productivity. As each domain contains four items, the total domain score can range from 4 to 28 (except for the domain of productivity which contains three items, the total score range from 3 to 21). The Dutch translation of the MILQ has been used to assess the HRQoL of CABG –patients [32]. An unweighted index was calculated by adding up over all nine-domain scores, will possible scores range from 35 to 245 (which is referred to as the “overall MILQ-index”).
Furthermore, generic HRQoL was measured by the EQ-5D [33]. The EQ-5D consists of two components: an EQ-5D descriptive system and an EQ-5D Visual Analogue Scale (EQ-5D VAS). In the descriptive system, the respondent is asked to rate his or her health by checking one of three levels of severity—“no problems” (coded as 1), “some or moderate problems” (coded as 2), “severe problems or unable to perform” (coded as 3)- in each of the following 5 EQ-5D dimensions: mobility, self-care and pain/discomfort, usual activities, and anxiety/depression. For the EQ-VAS, participants draw a line from a box to the point on the thermometer-like scale corresponding to their health state (with a range from 0 “the worst imaginable health state” to 100 “the best imaginable health state”). Depression was evaluated by means of BDI [34]. The STAI-S was used to measure temporal and transient aspects of anxiety [35].
Both STAI-S (20 items) and BDI (21 items) contain items expressed as four-point scales. Both BDI and STAI have been used in studies with CABG patients [36‐38] and are considered to be validated and reliable instruments [34, 35].
One-year quality of life equivalence and power analysis
Equivalence in health-related HRQoL was defined a priori. It was expected that the disease-specific HRQoL (MILQ) would measure the most sensitive to detect differences between the groups. The overall MILQ-index varies between 1 (worst of health) and 7 (best of health). Equivalence on the overall MILQ-index at 1 year was assumed if the SSIC and the control group would not differ within a tolerance range of 5%, i.e., within 0.4 on a seven-point scale. It was assumed that the standard deviation of this difference would be 1.15 [32]. Based on this, so with a two-sided test, alpha of 0.05, a power of 90%, and an expected drop-out percentage of 10%, the number of patients needed amounted to 194 for each study group. For the EQ-5D domains and EQ-5D VAS, the power calculations determined a difference of 0.3 points on the EQ-5D domains and a difference of 8 points on the EQ-5D VAS could be detected with 90% power.
Statistical analysis
The reasons for non-response were categorized as follows: “Informative censoring” (if reason was non-random e.g., related to the health status) [39], “non-informative censoring” (if reason was random) [39], and “unclear” (if reason was unknown).
All analyses were conducted following the intention-to-treat principle. Missing values were imputed by the separate mean group scores of non-missing patients for the SSIC and the control groups. We performed the analysis with and without mean imputation, and we did not find a difference in study findings.
HRQoL scores at baseline were reported in means and standard deviations and at follow-up as mean change scores (baseline minus 1 month or 1 year minus 1 month) with a 95% confidence interval (95% CI) for both groups. The Kolmogorov–Smirnov test was used to test for normality of differences between postoperative and preoperative scores. Student t-tests were performed to examine the mean differences in HRQoL change between both treatment groups at 1 month after surgery.
Repeated measures ANCOVA using the preoperative scores as a covariate was performed to test equivalence of HRQoL scores at 1 year. Interaction effects between preoperative HRQoL and the treatment modality group on one-year differences in HRQoL were also tested for statistical significance. Next, in regression analyses with the MILQ-score, the overall MILQ-index or the EQ-5D VAS as dependent variables the relationships with other factors were tested. Selection of the potential predictors in the regression models was based on results of previous research (see appendix). Regression modeling was done with list wise deletion of missing cases using both forward selection and backward elimination techniques. Predictors statistically significant in both techniques were selected in the model, except for treatment modality group, which was always kept within the model, irrespective of its statistical significance. Final regression model results are presented in a table with unstandardized effects, P-values and variance explained (R-square) by each final model.
A P-Value of less than 0.05 was assumed to be statistically significant. All analysis was performed using SPSS-pc version 12.0.1 (SPSS, Chicago, IL).
Results
Study population
Between February 2001 and March 2003, 702 out of the 1062 available CABG patients were eligible for inclusion in the clinical part of the study (Fig. 1). They were asked to give informed consent. A total of 600 patients gave informed consent and participated in the SSIC trial. For this QoL-study, only the first 410 of the included CABG patients were needed.
The study population consisted of a group of low-risk CABG patients with a mean age of 62 years, and 80% of them were men (Table 2).
Table 2
Comparison of demographic data, previous medical and cardiac history, and operative data between control (N = 207) and short-stay intensive care (SSIC) patients (N = 201)
Study population
Na
Control
Na
SSIC
Demographic data
Age (Years)
Mean ± SDb
206
62.0 ± 13.77
201
61.8 ± 10.67
Body mass index (Kg/M2)
Mean ± SD
193
27.4 ± 3.84
185
27.8 ± 3.55
Sex (male)
n (%)
207
169 (81.6)
201
161 (80.1)
Civil state
201
198
Married
n (%)
150 (72.5)
158 (78.6)
Unmarried no partner
n (%)
40 (19.3)
31 (15.4)
Unmarried with partner
n (%)
14 (6.8)
9 (4.5)
Education
195
196
Primary school not finished
n (%)
2 (1.0)
5 (2.5)
Primary school
n (%)
53 (25.6)
40 (19.9)
Lower education
n (%)
47 (22.7)
57 (28.4)
Intermediate education
n (%)
63 (30.4)
64 (31.8)
High education
n (%)
30 (14.5)
30 (14.9)
Previous cardiac and medical history
Left ventricular ejection fraction
n (%)
193
189
> 35%
115 (55.6)
120 (59.7)
35–45%
30 (14.5)
27 (13.4)
40–50%
48 (23.2)
42 (20.9)
NYHA classification anginac
n (%)
195
191
I
8 (3.9)
5 (2.5)
II
41 (19.8)
26 (12.9)
III
82 (39.6)
96 (47.8)
IV
64 (30.9)
64 (31.8)
Hypertension
n (%)
204
88 (42.5)
201
86 (42.8)
Hypercholesterolemia
n (%)
196
124 (59.9)
194
136 (67.7)
Smoking
n (%)
199
69 (33.3)
198
73 (36.3)
Positive family anamneses
n (%)
195
126 (60.9)
191
117 (58.2)
Diabetes mellitus
n (%)
205
38 (18.4)
201
33 (16.4)
Operative data
Number of grafts
Mean ± SD
204
3.2 ± 1.3
200
3.1 ± 1.2
Cardiopulmonary bypass time (in minutes)
Mean ± SD
151
81.6 ± 35.3
153
77.4 ± 34.1
Aorta cross-clamp time (in minutes)
Mean ± SD
151
52.5 ± 25.9
154
47.8 ± 27.3
Without aorta cross-clamping
n (%)
56 (27.1)
47 (23.4)
Re-do CABG
n (%)
207
14 (6.8)
201
10 (5.0)
Hospital stay
Intensive care stay
Mean ± SD
207
29.9 ± 24.04
201
19.8 ± 27.30
Total hospital stay
Mean ± SD
207
8.7 ± 5.10
201
8.0 ± 4.41
aN number of patients with data available on the reported variable
bSD Standard Deviation
cNYHA New York Heart Association
The non-response rates were low and appear to be similar for control and SSIC groups in all three categories (informative, non-informative, and unclear) and at the three measurement times (Table 3). Four patients died (control n = 1 and SSIC n = 3) and one patient was readmitted to hospital. These events were unrelated to the IC treatment received. After ruling out mortality, 39 follow-up questionnaires (4.8% of the total) were not sent back for reasons that were unclear.
Table 3
Reasons of missing data in baseline, 1-month and 1-year questionnaire in number (percentages)
Reason
Control group N = 207
SSIC group N = 201
N
%
N
%
Baseline questionnaire
Informative censoring
Psychological problems
1
0.3
0
0.0
Non-informative censoring
Lost questionnaire
0
0.0
1
0.3
Total
1
0.3
1
0.3
1-month questionnaire
Informative censoring
Deceased
1
0.5a
0
0.0
Admitted to a hospital
1
0.5
0
0.0
Non-informative censoring
Not willing to fill in
3
1.4
2
1.0
Private or family circumstances
1
0.5
0
0.0
No telephone number/address available
2
1.0
1
0.5
Reason censoring unclear
Admitted to a nursing home
2
1.0
0
0.0
Not reported
3
1.4
7
3.5
Total
13
6.3
10
5.0
1-year questionnaire
Informative censoring
Deceased
1
0.5a
3
1.5
Non-informative censoring
Not willing to fill in
2
1.0
4
2.0
Private or family circumstances
1
0.5
0
0.0
No telephone number/address available
3
1.4
3
1.5
Reason censoring unclear
Admitted to a nursing home
1
0.5
0
0.0
Not reported
18
8.7
11
5.5
Total
26
12.6
21
10.5
asame patient
The non-responders were mainly women with no partner who had slightly longer surgery times and hospital stays compared to the responders. However, there was no difference in patient characteristics between the non-responders in the control group and the non-responders in the SSIC group (data not shown).
Baseline HRQoL outcomes appeared not to be significantly different between SSIC and control group (P-Values not shown).
Disease-specific health-related quality of life
At 1 month after surgery, the change scores (1 month postoperative minus baseline) of both the MILQ-score and overall MILQ-index were not significantly different between the two treatment groups (MILQ-score P-Value = .270; 95% CI: −0.11–0.40, overall MILQ-index P-Value = .154, 95% CI: −1.49 to −9.41) (Table 4). However, the domains’ physical and social functioning of the MILQ were significantly better in the SSIC group compared to the control group (respectively, P-Value = .049, 95%CI: 0.01–2.50 and P-Value = .014, 95% CI: 0.24–2.06) (Table 4).
Table 4
The short-term and long-term results of health-related quality of life for both the control group (N = 207) and the short-stay intensive care (SSIC) group (N = 201)
Baseline
One-month postoperative
Twelve-month postoperative
ANCOVAe
Control
SSIC
Control
SSIC
T-Test
Control
SSIC
Time P Value
Group × Time P Value
Worse–best
Mean
SDa
Mean
SD
Mean Changeb
SD
Mean changeb
SD
Mean change difference in groups
95% CIc
P Value
Mean changed
SD
Mean changed
SD
Disease-specific: MILQe
Mental health
0–28
20.4
4.29
20.6
4.21
1.09
4.62
1.10
4.30
0.01
−0.86–0.87
.985
−0.26
3.79
−0.02
3.63
<.001
.620
Physical health
0–28
17.3
5.42
17.2
4.96
2.08
5.50
2.54
5.07
0.46
−0.58–1.48
.388
1.49
4.32
1.00
4.63
<.001
.445
Physical function.f
0–28
16.3
6.63
15.5
6.03
−0.33
6.73
0.93
6.03
1.26
0.01–2.50
.049
4.25
5.52
3.69
5.57
<.001
.295
Social function.f
0–28
21.4
4.43
20.9
4.18
−1.15
4.75
0.00
4.61
1.15
0.24–2.06
.014
1.96
4.29
1.43
3.80
<.001
.070
Intimacyg
0–28
20.9
4.29
23.1
4.55
−0.19
4.45
0.66
4.35
0.85
−0.02–1.71
.054
0.27
3.78
−0.14
3.78
<.001
.527
Cognitive function.f
0–28
22.9
4.17
23.0
3.59
−0.06
3.79
−0.16
3.69
−0.10
−0.83–0.62
.775
0.06
3.24
0.22
3.20
<.001
.841
Financial status
0–28
23.6
4.27
23.4
4.17
−0.13
4.47
−0.40
3.69
−0.27
−1.07–0.53
.508
−0.52
4.03
−0.22
3.80
<.001
.558
Health profess.h
0–28
24.1
2.78
24.2
2.80
−0.74
3.70
−0.99
3.77
−0.25
−0.98–0.47
.491
−0.42
3.88
−0.14
4.26
<.001
.725
Productivity
0–21
12.9
5.08
12.2
4.82
−0.65
5.11
0.28
5.43
0.93
−0.10–1.95
.077
2.54
4.72
2.21
4.36
<.001
.579
Overall MILQ-indexi
35–245
180.2
28.8
177.8
26.9
−.10
28.1
3.86
27.3
3.96
−1.49–9.41
.154
9.50
24.99
7.98
25.19
<.001
.543
MILQ-score
1–7
4.5
1.2
4.4
1.1
0.35
1.33
0.50
1.33
0.15
−0.11–0.40
.270
0.39
1.12
0.36
1.15
<.001
.508
Generic: EQ-5D
VASj
0–100
60.4
18.22
58.04
18.88
7.00
18.99
9.99
21.76
2.99
−0.98–6.96
.140
6.45
16.19
5.20
17.23
<.001
.593
Mobilityk
3–0
1.5
.53
1.5
.51
−0.23
.56
−0.18
.59
0.05
−0.07–0.16
.433
0.08
0.48
0.00
0.55
<.001
.217
Self-carek
3–0
1.1
.31
1.1
.29
0.04
.39
0.07
.40
0.03
−0.04–0.11
.386
−0.05
0.34
−0.10
0.37
<.001
.325
Usual activitiesk
3–0
1.6
.62
1.7
.65
0.16
.79
0.06
.80
−0.10
−0.25–0.06
.248
−0.37
0.64
−0.36
0.64
<.001
.924
Pain/discomfortk
3–0
1.5
.55
1.6
.57
0.14
.70
0.11
.64
−0.03
−0.16–0.10
.669
−0.21
0.70
−0.28
0.56
<.001
.311
Anxiety/depressionk
3–0
1.5
.64
1.5
.62
−0.22
.64
−0.30
.64
−0.08
−0.21–0.04
.175
−0.46
0.53
−0.04
0.49
<.001
.569
Domain-specific: BDIl and STAI-Sm
Total BDI
21–0
8.0
5.55
8.4
5.27
−0.18
4.75
−0.52
5.46
−0.34
−0.13–0.65
.496
−0.14
5.23
−0.44
5.53
<.001
.621
Total STAI-S
80–20
44.28
11.98
45.0
12.06
−7.19
12.05
−8.58
12.81
−1.39
−3.8–1.03
.259
−0.38
10.13
0.14
8.87
<.001
.653
aSD Standard Deviation
b1 month—baseline score
cCI Confidence Interval
d1 year—1 month score
eANCOVA Analysis of Covariance
fFunction. functioning
gn = 164 control and n = 167 SSIC group
hHealth profess. Health professionals
iOverall MILQ-index Multidimensional Index of Life Quality; clinically meaningful defined as difference of 0.4 points between SSIC and control group at 1 year
jVAS Visual Analogue Scale, difference of 8 points at 1 year
kDifference in 0.3 points at 1 year
lBDI Beck Depression Inventory
mSTAI-S State Anxiety Scale
Results of the repeated measures ANCOVA analysis with the baseline QoL scores as covariates show no statistically significant differences between the SSIC group and the control group in the linear trend in the year after surgery on the MILQ-score (P-Value = .508), nor on the overall MILQ-index (P-Value = .543) (Table 4).
In the regression models, the linear trend of the MILQ-score and the linear trend of the overall MILQ-index were used as dependent variables. Controlled for potential confounding factors, the type of intensive care treatment received was again not a significant predictor of HRQoL (MILQ-score P-Value = .736, 95% CI: −.115–.162, nor for the overall MILQ-index P-Value = .934, 95% CI: −3.64–3.35) (Table 5).
Table 5
Results of linear regression analysis for prediction models of HRQoL at 1 year after surgery
B
95% CIa
P Value
Model 1: Linear trend of MILQ-scoreb
R-square = .334
Bo
2.43
2.14 to 2.72
<.001
Group
.024
−.115 to .162
.736
MILQ-score at baseline
−.435
−.50 to −.38
<.001
Model 2: Linear trend of Overall MILQ-Indexb
R-square = .208
Bo
77.29
<.001
Group
−.148
−3.64 to 3.35
.934
Depression at baseline
−.406
−.82 to .00
.050
Overall MILQ-Index at baseline
−.368
−.45 to −.29
<.001
Model 3: Linear trend of EQ-5D VASc
R-square = .357
Bo
30.33
24.2 to 36.4
<.001
Group
−.648
−.2.81 to 1.51
.556
Gender
−5.00
−7.80 to −2.20
<.001
Anxiety at baseline
.106
.01 to .20
.026
EQ-5D VAS at baseline
−.424
−.48 to −.37
<.001
aCI Confidence Interval
bMILQ Multidimensional Index of Life Quality
cVAS Visual Analogue Scale
Apart from this, the baseline scores of the corresponding QoL measures were significant predictors of linear trend of QoL. All tests for first-order interactions, and all tests on the other predictors like gender, age, and disease severity (appendix), were not statistically significant (Table 5).
Generic health-related quality of life
The change scores of the EQ-5D VAS and the five separate EQ-5D domains were not significantly different for both groups at one month after surgery (Table 4). HRQoL increased similarly in both groups in the first year after surgery on EQ-5D VAS (P-Value = .593) and on all five EQ-5D domains (Table 4).
In the regression models, the type of intensive care treatment had no statistically significant effect on the linear trend of the EQ-5D VAS (P-Value = .556, 95% CI: −2.81–1.51; Table 5). The baseline scores of the EQ-5D VAS and baseline anxiety score and gender were significant predictors of the linear trend of the EQ-5D VAS. All tests for first-order interactions, and all tests on the other predictors (appendix), were not statistically significant (Table 5).
Domain-specific health-related quality of life
The change score of the BDI and STAI-S did not differ in both groups at 1 month after surgery (P-Value = .496, 95% CI: −0.13–0.65, P-Value = .259, 95% confidence intervals: −3.8 to −1.03) (Table 4).
The results of the repeated measures ANCOVA analysis show no statistically significant differences in the linear trend at 1 year after surgery for both groups on BDI (P-Value = .621) or STAI –S (P-Value = .653) (Table 4).
Discussion
Summary of study findings
This large, randomized controlled equivalence trial is to our knowledge the first study that evaluates the impact of a short-stay intensive care treatment (a type of fast-track treatment) on disease-specific, generic, and domain-specific HRQoL in the year after surgery in low-risk CABG patients.
After controlling for baseline differences and potential confounding factors, like gender and age, the changes of disease-specific, generic, and domain-specific HRQoL in the first year after surgery appear to be similar for patients who received the short-stay IC treatment (discharge within 8 h after surgery) and for those who stayed overnight on the IC. The scores on the domains’ physical and social functioning of the MILQ were significantly higher in the SSIC group compared to the control group at 1 month after surgery. However, these differences were no longer observed at one-year follow-up.
Fast-track treatments and HRQoL
The desirability of decreasing postcardiac surgery intensive care utilization was recognized two decades ago [41], [40] with cost containment as the main driving force [41]. Examples of these fast-track treatments that make IC discharge within a few hours after surgery possible are the use of fast-track anesthesia, normothermic temperature management, and early extubation at the intensive care. Due to the heterogeneity of the interventions, differences in case-mix, various questionnaires and variable points in time used, a proper comparison between study findings difficult.
Nevertheless, our results confirm the finding of others [6, 12, 13] that fast-track treatments do not have an impact on cognitive function. Royse et al. [15] found less posttraumatic stress and depression at 6-month postoperative in the fast-track group receiving low-dose anesthetics compared to the group which received a high dose. We did not find any evidence of a difference in the number of depressive and anxious feelings in the two groups in the first postoperative year. No comparison with other studies on the factor of pain can be made as these trials only reported on pain in the first days after the IC treatment [5, 10‐14, 16, 17].
Clinical relevance of study findings
A strong point of our study is its sample size. In the current study, we were able to detect the possibility of a clinically meaningful QoL difference at 1 year (of 0.4 points on the MILQ, of 0.3 points on the EQ-5D domains, and of 8 points on the EQ-5D VAS) between the SSIC and the control group. As none of these three scales at 1 year showed a statistically significant difference between both groups, the reported differences between both groups cannot be defined as a clinically meaningful. This indicates that the short-stay intensive care intervention does not have a relevant adverse impact on HRQoL at 1 year after surgery. In another study, we investigated the validity of both the MILQ and the EQ-5D. One of the findings was that the baseline ceiling effects (a high percentage of patients with a maximum score) in all EQ-5D dimensions were substantial, but these were not found on the MILQ-score and EQ-5D VAS. For the current study, this indicates that there is a possibility that not all relevant changes in HRQoL measured by means of the EQ-5D domains were identified. However, as outcomes reported by means of the EQ-5D domains are consistent with those of the EQ-5D VAS and the MILQ, the impact of this on the study conclusions is probably negligible.
The differences at 1-month postoperative on the physical and social functioning of the MILQ were significantly different between both groups, although this difference was no longer observed at long-term follow-up. As the power calculation was based on 1 year differences in HRQoL between the two groups, it is not possible to make a proper judgment whether the reported small positive effects in the SSIC group at short term are of clinical relevance. In a previous paper, we also reported generic HRQoL at 1 month after surgery as an outcome measure in the economic evaluation of the short-stay intensive care treatment. The patient’s answers to the five EQ-5D items were used to calculate the utility value, based on population weights [24] (ranging from 0 to 1), and subsequently the Δ quality adjusted life months (Δ QALM’s) was calculated. The generic HRQoL significantly improved in the SSIC group when compared to the control group. In the current study, this outcome was not reported because the aim of this paper was to report data from a patient’s viewpoint and not from a so-called societal perspective. The observed difference measured at 1 month was very small (0.0238) and lower than the score of 0.03 which is considered clinically relevant to this study [43], [42].
If we compare our findings of the EQ-5D change scores of the EQ-5D at 12 months after surgery with those of results reported by Badia et al. in patients receiving scheduled surgery [22], the results of the domains of self-care, usual activities, pain/discomfort, and EQ-VAS are very similar, but the results of the other domains, such as mobility and anxiety/depression, are different. The mean score on mobility improved meaningfully clinical, whereas in our study population no such an improvement was observed. In contrast, patients in the SSIC study reported a decrease in the psychological dimension of the EQ-5D, whereas for patients scheduled for various types of surgery this score did not change. An explanation for these discrepancies between both studies can be related to the differences in patient characteristics. For instance, the mean age was lower in the study performed by Badia et al. compared to the mean age in our study. Furthermore, not only CABG patients but also liver transplant and other types of cardio surgical interventions were included in the Spanish study. Another explanation can be related to the differences in measuring the baseline QoL. The retrospective rating of the baseline QoL in the Spanish study can have resulted in an under- or overestimating of these scores and hence, in an under- or overestimating of the QoL change scores.
This study has the following limitations:
Ideally, preoperative administration of the HRQoL questionnaires should be done before emotional responses could confound the HRQoL measures, but this was not possible due to logistic reasons. However, as this study was comparative, this cannot have influenced the study findings much. A measurement of pain within a few days after treatment was not performed as it was practically impossible.
The generalizability of this study may be somewhat limited because the primary non-responders were older patients, and women were overrepresented compared to the responders. However, as all baseline characteristics for the responders and the non-responders of both treatment modalities were comparable, this cannot have a large impact on our study results.
Another limitation of this study is that standard hypothesis testing was used (the null hypothesis is equal means in groups). The recommended approach of Jones et al. (1996), where conclusions are drawn on the basis of an appropriate confidence interval using the prespecified criteria of equivalence derived from the sample size calculation, was not done. Finally, fatigue of the responders may have biased the study findings. Other limitations concerning the study design and patient eligibility are described elsewhere [23].
Conclusions and recommendations
This randomized controlled equivalence trial evaluated the impact of a short-stay intensive care protocol on HRQoL in low-risk CABG patients. The short-stay intensive care treatment appears to have no effect on disease-specific and generic HRQoL in the first year after surgery. As none of the observed HRQoL differences between the two groups can be defined as clinically meaningful, while the safety and financial benefits of the SSIC intervention already have been demonstrated [23], from a patient’s perspective short-stay intensive care can also be considered as a good alternative postoperative IC treatment in low-risk CABG patients.
Open Access
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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for reasons see Table 3)