Annals of CardioPulmonary Rehabilitation
The Korean Academy of Cardio-Pulmonary
Original Article

심장수술 후 입원 재활을 받은 환자에서의 예후 인자

이준희1, 장종윤1, 이승학1, 차승우1,*
Joon Hee Lee1, Jong Yoon Chang1, Seung Hak Lee1, Seungwoo Cha1,*
1울산대학교 의과대학 서울아산병원 재활의학과
1Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
*Corresponding author: Seungwoo Cha, M.D. Clinical Assistant Professor, Department of Rehabilitation Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea, Tel: +82-2-3010-3799, Fax: +82-2-3010-6964, E-mail: miracleofs@naver.com

© Copyright 2024 The Korean Space Science Society. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Sep 30, 2024; Accepted: Dec 16, 2024

Published Online: Dec 31, 2024

Abstract

Objective: Comprehensive rehabilitation and continuous management after cardiac surgery are crucial for optimal recovery. Identifying prognostic factors plays a vital role in establishing tailored strategies to enhance recovery outcomes. Therefore, this study aims to identify the factors associated with home discharge among patients who underwent inpatient rehabilitation after cardiac surgery.

Methods: This retrospective study analyzed data from patients transferred to the inpatient rehabilitation department between March 2018 and March 2023 after cardiac surgery. Clinical characteristics, including past medical history, operative factors, and laboratory tests, as well as functional assessments such as the Manual Muscle Test (MMT), Functional Ambulation Category (FAC), and Modified Barthel Index (MBI), were collected. Logistic regression analysis was performed to identify predictors of home discharge, and Cox regression analysis was performed to identify factors associated with mortality.

Results: A total of 94 patients were included. Patients discharged to home (n = 44) showed higher initial and follow-up MBI, FAC, and the sum of MMT, and shorter hospital stays. No significant differences were observed in surgery type, operative factors, or laboratory tests. Multivariate logistic regression analysis identified that initial MBI and length of hospital stay as significant predictors of home discharge. Follow-up MBI was identified as a significant factor predicting post-discharge mortality. Patients with postoperative stroke showed lower initial MBI and FAC and required longer rehabilitation sessions. Significant predictors for home discharge in this subgroup included initial MBI and a higher preoperative ejection fraction.

Conclusion: Patients undergoing cardiac surgery often experience significant functional impairment. Initial MBI at the time of transfer was identified as a key predictor of home discharge, while follow-up MBI was identified as a significant predictor of post-discharge mortality.

Keywords: Stroke; Cardiac surgical procedures; Rehabilitation; Patient discharge

Introduction

Despite an improvement in surgical techniques, patients undergoing cardiac surgery experience significant loss of health status and quality of life [1]. A study on elective coronary artery bypass graft (CABG) patients showed malnutrition and weight loss during the recovery phase, leading to loss of muscle mass and strength [2,3]. Additionally, complications such as dysphagia contribute to post-surgical disability.

Stroke after cardiac surgery is another major post-operative complication, with an overall incidence of 4.6% [4]. However, new brain infarcts are observed far more frequently than clinical apparent stroke. For instance, a study found that up to 30% of patients exhibited new infarcts on diffusion-weighted imaging after CABG [5]. These infarcts can result from embolisms originating in the heart or arteries, thrombosis due to a hypercoagulable state, and systemic hypoperfusion [6]. Analysis have identified that a history of chronic heart failure (CHF), transient ischemic attack (TIA), and bypass pump time exceeding 120 minutes as significant predictors of stroke after cardiac surgery [7]. Stroke after cardiac surgery is strongly associated with operative morbidity and mortality. A study on patients undergoing coronary and valve surgery demonstrated an in-hospital morality rate of 12.3% for patients with stroke, compared to 6.7% for those without postoperative stroke. These patients also experience longer intensive care unit and hospital stays, along with higher permanent neurologic deficits [8].

Rehabilitation plays a critical role in patients who have undergone major cardiac surgery, regardless of whether they experienced a stroke. Rehabilitation programs, which include risk identification and modification, patient education, and structured exercise aim to improve postoperative health outcomes. Numerous studies have shown that rehabilitation can enhance health outcomes, reduce mortality, and improve quality of life [9,10]. As a result, many patients are transferred to rehabilitation medicine departments to actively participate in rehabilitation, with the ultimate goal of returning to their homes and communities. Several studies have explored predictive factors influencing recovery and home discharge in patients undergoing rehabilitation. Factors such as premorbid disabilities, cognitive dysfunction prior to surgery, and functional abilities at the time of admission have been proposed as potential predictors [11,12]. As an increasing number of patients are receiving inpatient rehabilitation programs, this study aims to investigate the factors related to recovery after cardiac surgery and identify predictors of home discharge among patients referred to rehabilitation departments.

Materials and Methods

Study population

This retrospective study focused on patients who underwent cardiac surgery and subsequently required rehabilitation, spanning from March 2018 to March 2023. Out of the 1588 patients referred to the rehabilitation department for postoperative rehabilitation, 151 (9.5%) were transferred for further extensive rehabilitation. However, 43 of these cases lacked sufficient clinical information, and 13 had experienced acute infarction prior to surgery, while one had a pre-existing spinal cord injury, leaving 94 patients enrolled in our study. Reasons for transfer included deconditioning, dysphagia, and focal weakness. Patients were provided routine care alongside rehabilitation programs tailored to their specific impairments. Those diagnosed with stroke underwent neurodevelopmental treatment, while others participated in cardiac rehabilitation. In addition, patients with postoperative pulmonary compromise received pulmonary rehabilitation. After discharge, they were followed up at the outpatient clinic, and mortality data were collected by the timing of the termination of the patient’s national medical insurance coverage. The study protocol was ethically approved by the Institutional Review Board of the hospital (No. 2023-1169), with consent exemption granted due to the retrospective nature of the chart review.

Measurements

The study collected a comprehensive set of data from the enrolled patients, including demographic information, past medical history, radiological findings (including brain magnetic resonance imaging (MRI)), preoperative left ventricular ejection fraction (measured with echocardiography), and baseline laboratory test results. Analysis of the vascular territory and lesion pattern of stroke was conducted based on brain MRI findings. Additionally, information regarding the type of surgery, mean duration of surgery, and the use of cardiopulmonary bypass were meticulously collected.

Functional assessments were conducted using the Manual Muscle Test (MMT) for bilateral shoulder, elbow, wrist, hip, knee, and ankle; the Functional Ambulatory Category (FAC); and the Modified Barthel Index (MBI). These assessments were conducted twice: once after transfer to the rehabilitation department (initial assessment) and again before discharge (follow-up assessment). The FAC scale evaluates patients' ambulation ability on a 6-point scale ranging from 0 to 5, based on the level of human assistance required for walking. A score of FAC 0 indicates inability to walk, while FAC 5 indicates independent ambulation on any surface. The MBI is a tool used to assess functional ability in stroke patients, employing a 5-point system across 14 items. It has demonstrated validity and reliability in measuring patients' independence [13]. The MMT is a numerical grading scale ranging from 0 to 5, commonly used to assess muscle strength. The sum of MMT, calculated by summing the measurements of bilateral shoulder flexion, elbow flexion, wrist flexion, hip flexion, knee flexion and ankle dorsiflexion, ranges from 0 to 60. The validity of the sum of MMT has been established, and it has proven to be a useful tool for predicting mortality and clinical outcomes in critically-ill patients [14,15].

Statistical analysis

All statistical analyses were conducted using IBM SPSS version 21.0 (IBM Corp, Armonk, NY, USA). Continuous variables were compared between patient groups using independent T-tests, while categorical variables were analyzed using Pearson’s Chi-squared test. Logistic regression analysis was employed to identify prognostic factors for home discharge. Variables with a p-value of 0.1 or below from univariate analysis were entered and significant variables were selected with the forward method in the multivariable logistic analysis. Multivariate Cox regression analysis was performed for mortality and Kaplan-Meier curves were plotted based on the follow-up MBI (≥ 50 and < 50). Significant variables were determined using the backward selection method. A p-value of < 0.05 was considered statistically significant.

Results

Clinical characteristics according to discharge destination

In the study, a total of 94 patients were included. Among them, 44 were discharged to their homes, 13 were transferred to other departments in the hospital, and 37 were transferred to other hospitals. A comparative analysis between patients discharged home and those discharged elsewhere revealed notable differences. Patients who were discharged home exhibited higher initial and follow-up MBI, FAC, and the sum of MMT. Additionally, patients discharged home had shorter hospital stays compared to those discharged elsewhere (Table 1).

Table 1. Clinical Characteristics According to Discharge Destination
Home Discharge
N = 44
Others
N = 50
p-value
Age, year 69.3 ± 10.5 67.9 ± 13.1 0.563
Male, n (%) 22 (50.0%) 34 (68.0%) 0.076
Body mass index 23.2 ± 3.6 22.1 ± 3.5 0.120
Past medical history, n (%)
 Hypertension 19 (43.2%) 23 (46.0%) 0.784
 Diabetes 12 (27.3%) 16 (32.0%) 0.617
 Dyslipidemia 7 (15.9%) 7 (14.0%) 0.795
 Atrial fibrillation 23 (52.3%) 22 (44.0%) 0.423
 Previous stroke 3 (6.8%) 6 (12.0%) 0.394
 Chronic renal failure 6 (13.6%) 6 (12.0%) 0.812
Smoking, n (%) 15 (34.1%) 19 (38.8%) 0.640
Alcohol, n (%) 14 (31.8%) 20 (40.8%) 0.368
Preoperative ejection fraction (%) 58.6 ± 10.9 52.4 ± 16.0 0.035*
Surgery type, n (%) 0.199
 CABG 8 (18.2%) 9 (18.0%)
 Heart valve surgery 28 (63.6%) 32 (64.0%)
 Combined surgery 8 (18.2%) 5 (10.0%)
 Heart transplantation 0 4 (8.0%)
Operation factors
 Operation time, min 350.3 ± 205.3 376.0 ± 192.9 0.535
 Cardiopulmonary bypass use, n (%) 32 (72.7%) 42 (84.0%) 0.192
Laboratory findings
 Hemoglobin, g/dL 11.5 ± 2.1 11.5 ± 2.4 0.988
 Creatinine, mg/dL 1.46 ± 1.53 1.55 ± 1.07 0.731
 White blood cell, 103/uL 7.65 ± 3.82 8.06 ± 4.90 0.655
 C-reactive protein, mg/dL 1.64 ± 3.62 2.61 ±5.60 0.328
Seizure history, n (%) 7 (15.9%) 15 (30.0%) 0.107
Initial functional evaluation
 MBI (0-100) 44.0 ± 24.7 18.8 ± 22.5 < 0.001*
 FAC (0-5) 1.98 ± 1.17 1.06 ± 1.27 0.001*
 MMT sum (0-60) 45.6 ± 7.6 40.8 ± 9.0 0.007*
Follow-up functional evaluation
 MBI (0-100) 63.1 ± 22.6 33.9 ± 26.1 < 0.001*
 FAC (0-5) 2.86 ± 1.25 1.74 ± 1.31 < 0.001*
 MMT sum (0-60) 48.2 ± 7.1 41.7 ± 10.8 0.001*
Stroke, n (%) 23 (52.3%) 32 (64.0%) 0.250
Length of hospital stay, days 60.8 ± 32.5 102.6 ± 71.5 < 0.001*
Duration of rehabilitation, days 19.6 ± 5.9 22.5 ± 6.9 0.030*

CABG: carotid artery bypass graft, FAC: Functional Ambulatory Category, MBI: Modified Barthel Index, MMT: manual muscle test

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About 58% of patients (55 patients) had post-operative stroke. Comparison between the stroke and non-stroke groups revealed several differences: patients who had strokes had a higher incidence of seizures, lower initial MBI and FAC, and required longer rehabilitation sessions (Supplementary Table 1). Additionally, laboratory analysis indicated that hemoglobin levels were higher in patients who had strokes.

Supplementary Table 1. Clinical Characteristics According to Stroke
With stroke Without stroke
N = 55 N = 39 p-value
Age, year 66.9 ± 13.3 70.8 ± 9.4 0.122
Male, n (%) 33 (60.0 %) 23 (59.0%) 0.920
Body mass index 22.8 ± 3.8 22.4 ± 3.2 0.592
Past medical history, n (%)
 Hypertension 22 (40.0%) 20 (51.3%) 0.278
 Diabetes 15 (27.3%) 13 (33.3%) 0.527
 Dyslipidemia 6 (10.9%) 8 (20.5%) 0.198
 Atrial fibrillation 25 (45.5%) 20 (51.3%) 0.577
 Previous stroke 5 (9.1%) 4 (10.3%) 0.850
 Chronic renal failure 4 (7.3%) 8 (20.5%) 0.058
Smoking, n (%) 19 (35.2%) 15 (38.5%) 0.746
Alcohol, n (%) 20 (37.0%) 14 (35.9%) 0.910
Preoperative ejection fraction (%) 57.2 ± 12.6 52.8 ± 15.6 0.147
Surgery type, n (%) 0.739
 CABG 11 (20.0%) 6 (15.4%)
 Heart valve surgery 36 (65.5%) 24 (61.5%)
 Combined surgery 6 (10.9%) 7 (17.9%)
 Heart transplantation 2 (3.6%) 2 (5.1%)
Operation factors
 Operation time, min 357.2 ± 200.7 372.4 ± 197.2 0.715
 Cardiopulmonary bypass use, n (%) 44 (81.5%) 30 (76.9%) 0.591
Laboratory findings
 Hemoglobin, g/dL 12.1 ± 2.2 10.7 ± 2.1 0.004*
 Creatinine, mg/dL 1.27 ± 0.95 1.84 ± 1.68 0.054
 White blood cell, 103/uL 7.45 ± 3.29 8.46 ± 5.62 0.280
 C-reactive protein, mg/dL 1.45 ± 3.30 3.15 ± 6.22 0.125
Seizure, n (%) 17 (30.9%) 5 (12.8%) 0.041*
Initial functional evaluation
 MBI (0-100) 23.9 ± 26.4 40.1 ± 24.3 0.004*
 FAC (0-5) 1.22 ± 1.30 1.85 ± 1.23 0.021*
 MMT sum (0-60) 43.1 ± 9.6 43.1 ± 7.23 0.979
Follow up functional evaluation
 MBI (0-100) 43.9 ± 30.1 53.0 ± 25.3 0.123
 FAC (0-5) 2.15 ± 1.52 2.44 ± 1.19 0.322
 MMT sum (0-60) 44.6 ± 11.3 45.0 ± 7.3 0.857
Home Discharge, n (%) 23 (41.8%) 21 (53.8%) 0.250
Length of hospital stay, days 80.0 ± 68.4 87.4 ± 46.7 0.562
Duration of rehabilitation, days 22.4 ± 6.7 19.4 ± 6.1 0.028*

CABG: carotid artery bypass graft, FAC: Functional Ambulatory Category, MBI: Modified Barthel Index, MMT: manual muscle test

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In respect of 55 stroke patients, 23 were able to discharge to their homes. A comparison between stroke patients who were discharged home and those who were not revealed significant differences. Stroke patients who discharged to home had less history of previous stroke, higher pre-operative ejection fractions, as well as higher scores MBI, FAC, and the sum of MMT (Supplementary Table 2). Additionally, their length of stay in the hospital was shorter, and they received fewer rehabilitation sessions before discharge. While analyzing the vascular territory or lesion patterns, we found no significant differences. However, certain patterns such as bilateral stroke, posterior circulation stroke, and borderzone stroke were less associated with home discharge.

Supplementary Table 2. Clinical Characteristics According to Discharge Destination in Stroke Patients
Home discharge Others
N = 23 N = 32 p-value
Age, year 67.5 ± 10.2 66.5 ± 15.2 0.797
Male, n (%) 11 (47.8%) 22 (68.8%) 0.118
Body mass index 23.9 ± 4.0 21.9 ± 3.5 0.056
Past medical history, n (%)
 Hypertension 7 (30.4%) 15 (46.9%) 0.220
 Diabetes 6 (26.1%) 9 (28.1%) 0.867
 Dyslipidemia 2 (8.7%) 4 (12.5%) 0.655
 Atrial fibrillation 13 (56.5%) 12 (37.5%) 0.162
 Previous stroke 0 5 (15.6%) 0.047*
 Chronic renal failure 2 (8.7%) 2 (6.3%) 0.730
Smoking, n (%) 7 (30.4%) 12 (38.7%) 0.529
Alcohol, n (%) 7 (30.4%) 13 (41.9%) 0.387
Preoperative ejection fraction (%) 63.4 ± 5.5 52.7 ± 14.4 0.001*
Surgery type, n (%) 0.536
 CABG 4 (17.4%) 7 (21.9%)
 Heart valve surgery 17 (73.9%) 19 (59.4%)
 Combined surgery 2 (8.7%) 4 (12.5%)
 Heart transplantation 0 2 (6.3%)
Operation factors
 Operation time, min 332.7 ± 210.6 382.3 ± 193.7 0.374
 Cardiopulmonary bypass use, n (%) 17 (73.9%) 27 (87.1%) 0.217
Laboratory findings
 Hemoglobin, g/dL 12.1 ± 2.2 12.1 ± 2.3 0.961
 Creatinine, mg/dL 1.27 ± 1.29 1.27 ± 0.61 0.995
 White blood cell, 103/uL 7.51 ± 3.17 7.42 ± 3.42 0.919
 C-reactive protein, mg/dL 1.00 ± 2.42 1.77 ±3.82 0.403
Seizure, n (%) 6 (26.1%) 11 (34.4%) 0.512
Initial functional evaluation
 MBI (0-100) 42.3 ± 26.6 9.9 ± 15.5 < 0.001*
 FAC (0-5) 1.91 ± 1.34 0.75 ± 1.05 0.001*
 MMT sum (0-60) 46.7 ± 8.2 40.4 ± 9.9 0.016*
Follow up functional evaluation
 MBI (0-100) 63.6 ± 25.3 28.8 ± 24.5 < 0.001*
 FAC (0-5) 3.00 ± 1.41 1.53 ± 1.30 < 0.001*
 MMT sum (0-60) 48.9 ± 7.8 41.4 ± 12.5 0.019*
Length of hospital stay, days 57.2 ± 36.8 96.4 ± 80.8 0.035*
Duration of rehabilitation, days 19.3 ± 6.4 24.7 ± 6.0 0.002*
Lesion laterality 0.724
 Right 7 (30.4%) 7 (21.9%)
 Left 6 (26.1%) 8 (25.0%)
 Bilateral 10 (43.5%) 17 (53.1%)
Vascular territory 0.265
 Anterior circulation 10 (43.5%) 9 (28.1%)
 Posterior circulation 0 4 (12.5%)
 Multiple territory 11 (47.8%) 15 (46.9%)
 Others (unspecified, haemorrhage) 2 (8.7%) 4 (12.5%)
Lesion patterns 0.867
 Cortical 4 (17.4%) 7 (21.9%)
 Subcortical 2 (8.7%) 2 (6.3%)
 Borderzone 2 (8.7%) 5 (15.6%)
 Large territorial 6 (26.1%) 9 (28.1%)
 Others (multiple, haemorrhage) 9 (39.1%) 9 (28.1%)
Carotid stenosis, n (%) 15 (65.2%) 18 (56.3%) 0.503

CABG: carotid artery bypass graft, FAC: Functional Ambulatory Category, MBI: Modified Barthel Index, MMT: manual muscle test

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Factors related to home discharge

The logistic regression analysis revealed that both the initial MBI and the length of hospital stay were significant factors in predicting home discharge for all patients. When considering only stroke patients, the analysis showed that the initial MBI remained an independent factor in predicting home discharge, while preoperative ejection fraction showed marginal significance (Table 2).

Table 2. Multivariate Logistic Regression Analysis for Home Discharge
B (SE) Odds ratio 95% CI p-value
Patients (N = 94)
 Initial MBI 0.04 (0.01) 1.04 1.01 - 1.06 0.001*
 Length of hospital stay, days -0.02 (0.01) 0.98 0.97 - 0.99 0.007*
Patients with stroke (N = 55)
 Initial MBI 0.06 (0.02) 1.06 1.02 - 1.11 0.004*
 Preoperative ejection fraction 0.08 (0.05) 1.08 0.99 - 1.19 0.093

MBI: Modified Barthel Index

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Factors related to mortality

The median follow-up period was about one year. In the Cox regression analysis, the follow-up MBI was the only significant factor for mortality (OR 0.79, 95% CI of 0.65 – 0.96, p-value = 0.018) (Table 3). The K-M curve for survival according to the follow-up MBI (≥ 50 and < 50) was shown in Fig. 1.

Table 3. Multivariate Cox Regression Analysis for Mortality
B (SE) Odds ratio 95% CI p-value
Follow-up MBI -0.24 (0.10) 0.79 0.65 - 0.96 0.018*

MBI: Modified Barthel Index

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acpr-4-2-49-g1
Fig. 1. K-M curves for survival according to the follow-up MBI (≥ 50 and < 50). MBI: Modified Barthel Index
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Discussion

This study showed that initial functional status and length of hospital stay emerged as significant prognostic factors in determining discharge destination for patients who were referred for rehabilitation after cardiac surgery. These results highlight the importance of early functional assessment and tailored interventions to optimize patient outcomes following cardiac surgery. Evaluation in terms of mortality showed follow-up functional status as a significant prognostic factor, indicating importance of continuous evaluation.

Previous study reported that more than 60% of patients had impaired activity of daily living performance post-cardiac surgery [16]. In addition, muscle weakness and deconditioning have been reported, potentially linked to elevated levels of inflammatory cytokines such as interleukin-6 and tumor necrosis factor-α [17,18]. Furthermore, dysphagia is a prevalent issue following cardiac surgery, particularly among patients with prolonged endotracheal intubation [19]. Therefore, a comprehensive rehabilitation approach post-cardiac surgery has been advocated, demonstrating benefits in improving physiologic outcome and enhancing quality of life for patients [20,21].

The initial step in formulating an optimal rehabilitation strategy is setting appropriate rehabilitation goals. Prior research has indicated that patients lacking functional-focused goals tend to experience prolonged hospital stays [22]. Effective goal setting necessitates a comprehensive understanding of the patient's medical and functional status, as well as insight into their natural course and prognosis. In this context, previous studies have sought predictive factors associated with the functional recovery of stroke patients. Age, baseline activities of daily living, and mobility have been identified as significant predictors of functional recovery [23]. Similarly, home discharge, which plays a pivotal role in facilitating early social reintegration and decreasing total medical costs, has been associated with factors such as age, independence in activities of daily living, and social support. [11,24,25]. This study underscores the importance of the initial functional measure, particularly MBI, as the most influential indicator for home discharge. On the other hand, follow-up MBI was an important factor in predicting mortality. The results imply the importance of consistent evaluation including MBI in establishing rehabilitation goal and plan.

It is well known that stroke is a major complication of cardiac surgery. Stroke resulting from different etiologies often exhibits distinct characteristics, including varied responses to treatment [26] and functional outcomes [27]. In line with this, stroke following cardiac surgery shows distinct characteristics, showing more frequent embolic and hypoperfusion etiologies [6]. Despite these variations in etiology and stroke characteristics, our study supports previous findings indicating the initial functional status significantly influences prognosis, particularly regarding the home discharge [23]. This study also suggests that the pre-operative ejection fracture may be related to stroke patients’ home discharge. Patients who discharged to their home showed higher ejection fraction than those who could not, and the tendency was consistent within stroke patients. Previous research showed that left ventricle ejection fraction was a powerful predictor of stroke in patients after myocardial infarction [28]. Patients with worse ventricular function showed more venous and arterial embolic events in various studies as well [29,30]. Ejection fraction was also associated with clinical outcome of stroke patients [31,32]. The low ejection fraction groups had lower functional independence measure at discharge, lower functional gains and efficiency [33]. The present study also implies that stroke patients with higher pre-operative ejection fraction may show better outcome and lead to higher chance of discharge to home.

This study is subject to several limitations. Firstly, its retrospective nature and relatively small sample size may restrict the generalizability of the findings. Future research with larger patient cohorts and a prospective study design would enhance the robustness and applicability of the results. Moreover, conducting subgroup analyses based on stroke territory or vascular patterns could yield valuable insights into the specific mechanisms underlying stroke occurrence following cardiac surgery. Additionally, our study only included patients who opted for rehabilitation treatment and were subsequently transferred to rehabilitation services post-surgery. This approach may have excluded individuals with very mild neurological deficits or severe disease, potentially skewing the sample towards those more likely to benefit from rehabilitation. In addition, evaluation tools such as the 6-minute walking test or grip strength, which provide information about a patient’s fitness and cardiopulmonary performances, could have contributed further insights. Lastly, confounding factors such as socioeconomic status, physical activity, and mental health were not considered in this study.

Conclusion

The findings of this study underscore significant predictors of home discharge among patients undergoing cardiac surgery and subsequent inpatient rehabilitation. Specifically, higher initial MBI scores and shorter hospital stays were closely associated with discharge to home, while follow-up MBI scores were associated with mortality. Among patients who had a stroke, those with higher preoperative ejection fractions implied a greater likelihood of being discharged to home. Overall, these results suggest that tailored interventions and support strategies would be needed to enhance patient outcomes and facilitate successful transitions to home following cardiac surgery and rehabilitation.

Conflicts of interest

None to declare

References

1.

Sibilitz KL, Berg SK, Tang LH, Risom SS, Gluud C, Lindschou J, et al. Exercise-based cardiac rehabilitation for adults after heart valve surgery. Cochrane Database Syst Rev 2016;3:CD010876.

2.

DiMaria-Ghalili RA. Changes in nutritional status and postoperative outcomes in elderly CABG patients. Biol Res Nurs 2002;4:73-84.

3.

Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010;39:412-23.

4.

Bucerius J, Gummert JF, Borger MA, Walther T, Doll N, Onnasch JF, et al. Stroke after cardiac surgery: a risk factor analysis of 16,184 consecutive adult patients. Ann Thorac Surg 2003;75:472-8.

5.

Nah HW, Lee JW, Chung CH, Choo SJ, Kwon SU, Kim JS, et al. New brain infarcts on magnetic resonance imaging after coronary artery bypass graft surgery: lesion patterns, mechanism, and predictors. Ann Neurol 2014;76:347-55.

6.

Likosky DS, Marrin CA, Caplan LR, Baribeau YR, Morton JR, Weintraub RM, et al. Determination of etiologic mechanisms of strokes secondary to coronary artery bypass graft surgery. Stroke 2003;34:2830-4.

7.

Libman RB, Wirkowski E, Neystat M, Barr W, Gelb S, Graver M. Stroke associated with cardiac surgery: determinants, timing, and stroke subtypes. Arch Neurol 1997;54:83-7.

8.

Chen CC, Chen TH, Tu PH, Wu VC, Yang CH, Wang AY, et al. Long-term outcomes for patients with stroke after coronary and valve surgery. Ann Thorac Surg 2018;106:85-91.

9.

Lourens EC, Baker RA, Krieg BM. Quality of life following cardiac rehabilitation in cardiac surgery patients. J Cardiothorac Surg 2022;17:137.

10.

Hirano Y, Izawa K, Watanabe S, Yamada S, Oka K, Kasahara Y, et al. Physiological and health-related quality of life outcomes following cardiac rehabilitation after cardiac surgery. J Jpn Phys Ther Assoc 2005;8:21-8.

11.

Mutai H, Furukawa T, Araki K, Misawa K, Hanihara T. Factors associated with functional recovery and home discharge in stroke patients admitted to a convalescent rehabilitation ward. Geriatr Gerontol Int 2012;12:215-22.

12.

Vluggen TP, van Haastregt JC, Tan FE, Kempen GI, Schols JM, Verbunt JA. Factors associated with successful home discharge after inpatient rehabilitation in frail older stroke patients. BMC Geriatr 2020;20:25.

13.

Fricke J, Unsworth CA. Inter-rater reliability of the original and modified Barthel Index, and a comparison with the functional independence measure. Aust Occup Ther J 1997;44:22-9.

14.

Connolly BA, Jones GD, Curtis AA, Murphy PB, Douiri A, Hopkinson NS, et al. Clinical predictive value of manual muscle strength testing during critical illness: an observational cohort study. Crit Care 2013;17:R229.

15.

Hough CL, Lieu BK, Caldwell ES. Manual muscle strength testing of critically ill patients: feasibility and interobserver agreement. Crit Care 2011;15:R43.

16.

LaPier TK. Indicators of functional deficits after coronary artery bypass surgery. J Cardiopulm Rehabil Prev 2007;27:161-5.

17.

Iida Y, Yamazaki T, Kawabe T, Usui A, Yamada S. Postoperative muscle proteolysis affects systemic muscle weakness in patients undergoing cardiac surgery. Int J Cardiol 2014;172:595-7.

18.

Iida Y, Yamada S, Nishida O, Nakamura T. Body mass index is negatively correlated with respiratory muscle weakness and interleukin-6 production after coronary artery bypass grafting. J Crit Care 2010;25:172.e1-8.

19.

Barker J, Martino R, Reichardt B, Hickey EJ, Ralph-Edwards A. Incidence and impact of dysphagia in patients receiving prolonged endotracheal intubation after cardiac surgery. Can J Surg 2009;52:119-24.

20.

Hirano Y, Izawa K, Watanabe S, Yamada S, Oka K, Kasahara Y, et al. Physiological and health-related quality of life outcomes following cardiac rehabilitation after cardiac surgery. J Jpn Phys Ther Assoc 2005;8:21-8.

21.

Macchi C, Fattirolli F, Lova RM, Conti AA, Luisi ML, Intini R, et al. Early and late rehabilitation and physical training in elderly patients after cardiac surgery. Am J Phys Med Rehabil 2007;86:826-34.

22.

Ponte-Allan M, Giles GM. Goal setting and functional outcomes in rehabilitation. Am J Occup Ther 1999;53:646-9.

23.

Kongsawasdi S, Klaphajone J, Wivatvongvana P, Watcharasaksilp K. Prognostic factors of functional outcome assessed by using the modified rankin scale in subacute ischemic stroke. J Clin Med Res 2019;11:375-82.

24.

Spruit-van Eijk M, Zuidema SU, Buijck BI, Koopmans RT, Geurts AC. Determinants of rehabilitation outcome in geriatric patients admitted to skilled nursing facilities after stroke: a Dutch multi-centre cohort study. Age Ageing 2012;41:746-52.

25.

Thommessen B, Bautz-Holter E, Laake K. Predictors of outcome of rehabilitation of elderly stroke patients in a geriatric ward. Clin Rehabil 1999;13:123-8.

26.

Tiedt S, Herzberg M, Küpper C, Feil K, Kellert L, Dorn F, et al. Stroke etiology modifies the effect of endovascular treatment in acute stroke. Stroke 2020;51:1014-6.

27.

Chung CP, Yong CS, Chang FC, Sheng WY, Huang HC, Tsai JY, et al. Stroke etiology is associated with outcome in posterior circulation stroke. Ann Clin Transl Neurol 2015;2:510-7.

28.

Loh E, Sutton MSJ, Wun C-CC, Rouleau JL, Flaker GC, Gottlieb SS, et al. Ventricular dysfunction and the risk of stroke after myocardial infarction. New Engl J Med 1997;336:251-7.

29.

Kyrle P, Korninger C, Gössinger H, Glogar D, Lechner K, Niessner H, et al. Prevention of arterial and pulmonary embolism by oral anticoagulants in patients with dilated cardiomyopathy. Thromb Haemost 1985;54:521-3.

30.

Dunkman WB, Johnson GR, Carson PE, Bhat G, Farrell L, Cohn JN. Incidence of thromboembolic events in congestive heart failure. The V-HeFT VA Cooperative Studies Group. Circulation 1993;87:VI94-101.

31.

Rahmayani F, Setyopranoto I. The role of ejection fraction to clinical outcome of acute ischemic stroke patients. J Neurosci Rural Pract 2018;9:197-202.

32.

Milionis H, Faouzi M, Cordier M, D'Ambrogio-Remillard S, Eskandari A, Michel P. Characteristics and early and long-term outcome in patients with acute ischemic stroke and low ejection fraction. Int J Cardiol 2013;168:1082-7.

33.

Pullicino P, Halperin J, Thompson J. Stroke in patients with heart failure and reduced left ventricular ejection fraction. Neurology 2000;54:288-94.