Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy
2.2. Inclusion and Exclusion Criteria
2.3. Selection Process and Result Codification
2.4. Critical Reading and Level of Evidence
2.5. Statistical Analysis
3. Results
3.1. Characteristics of the Studies Included
3.2. Quality of Life Before and After a CABG
3.3. Differences in Quality of Life Scores Before and After a CABG
3.4. Meta-Analysis for Estimating the Prevalence of Pre- and Post-CABG Impact on Quality of Life
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Study | Design | Sample | TYPE OF CABG | Quality of Life Measurement Questionnaire | Follow-Up | Average (DE) Pre | Average (DE) Post | Main Results | EL/RG |
---|---|---|---|---|---|---|---|---|---|
Lie et al [22], 2010 Norway | Prospective Cohorts | 185 90% men | Elective | SF36 | Beforehand, after 6 months | MSC 47.7 (11.2) PCS 39.0 (SD 10.2) | MSC 51.3 (10.7) PCS 47.2 (SD 9.8) | Studying cardiac, non-cardiac, preoperative and early postoperative factors helps us predict the quality of life of patients after surgery. | 2b/B |
Sjöland et al. [18], 1997 Sweden | Prospective Cohorts | Pre: 1160 Post-3 months: 1059, 1 year: 1045, 2 years: 1027 83% men | Emergency and Elective | NHP | Beforehand (at angiography appointment), after 3 months, 1 year, 2 years | 20.5 | 3 months: 11.4 1 year: 11.9 2 years: 10.4 | The greatest improvement in quality of life was at 3 months, for physical capacity and patient pain. Sexual problems persisted for 2 years after the surgery. | 2b/B |
Sandau et al. [14], 2007 USA | Prospective Cohorts | 64 78.1% men | Elective | SF12 (short form of SF36) | 72 h beforehand, after 3 months | MCS 49.6 (9.6) PCS 40.0 (10.6) | MCS 53.2 (9.5) PCS 42.2 (10.3) | Participants gained an average of 2.2 points (PCS) and 3.6 points (MCS). Although these changes appear small, the clinical significance of changes in an individual’s score depends largely on the functional capacity associated with the score. | 2b/B |
Ballan and Lee [23], 2007 Australia | Quasi-experimental | 62 87.1% men | Elective | SF36 | Beforehand, after 6 weeks | MSC 53.4 (12.7) PSC 26.1 (8.0) | MSC 53.7 (10.1) PSC 33.5 (10.2) | The PCS scores improved and were statistically significant 6 weeks after surgery. No significant differences were found in MCS scores. | 1B/A |
Herlitz et al. [19], 2003 Sweden | Prospective Cohorts | 1225 (beforehand), 1358 (5 years), 976 (10 years) 98.5% men | Emergency and elective | NHP | Beforehand (during angiography), after 5 years, and 10 years | 20.8 | 12.1 (5 years) 14.5 (10 years) | Patient quality of life improved, generally, at 10 years, despite increasing age. The scores for the second and third measurements deteriorated. | 2b/B |
Oreel et al. [24], 2020 The Netherlands | Prospective Cohorts | 48 87.5% men | Elective | SF36 | Beforehand, after 6 months | MCS 46.2(-) PCS 36(-) | MCS 51.9(-) PCS 43(-) | Quality of life was lower in women, and their physical health improved more slowly than that of male patients. | 2b/B |
Herlitz et al. [20], 2005 Sweden | Prospective Cohorts | 637 75% men | (1) normal waiting list, (2) admitted patients, (3) patients with unstable angina, (4) emergency patients with unstable angiography, (5) emergency patients with acute myocardial infaction, (6) emergency patients with ventricular fibrillation | NHP | Beforehand, after 10 years | - | - | Being female, age, hypertension, obesity, renal failure, and cerebrovascular disease all play a role in the post-surgery recovery of quality of life. | 2b/B |
Neto et al. [25], 2010 Poland | Prospective Cohorts | 44 59% men | Elective | SF36 | Beforehand, after 3 and 6 months | - | - | The older population presents both cardiovascular and quality of life improvement after surgery. There are no statistically significant changes in the physical abilities of patients. | 2b/B |
Edell-Gustafsson et al [21], 1997 Sweden | Prospective cohorts (Pilot study) | 6 beforehand 5 after 100% men | Elective | NHP | Two days beforehand, 1 month after | 8.3 | 5.8 | After a month, quality of life improved, although wound pain persisted influencing sleep quality. | 2b/B |
Grady et al. [15], 2011 USA | Prospective cohorts | 136 70% men | Elective | SF36 | Beforehand, after 3, 6, 12 months. Annually | MSC 51.88 (2.24) PSC 43.33 (2.73) | MSC 54.94 (1.61) PSC 51.65 (1.93) | There was an improvement in the quality of life between 3 and 6 months. After 3 years, it remained stable. | 2b/B |
Sjöland et al. [18], 1999 Sweden | Prospective cohorts | 1160 83% men | - | NHP | Beforehand, 3 months, after 1 year, and 2 years | Men 19 Women 28 | Men 10.4-8.7 Women 13.9-13.6 | The women presented increased concomitant illnesses and a lower quality of life. The men encountered greater sexual problems prior to and 2 years after the surgery. | 2b/B |
Rumsfeld et al. [16], 2004 USA | Prospective cohorts | 1973 99% men | - | SF36 | Beforehand and after 6 months | MCS 44.3 PCS 33.0 | MSC 46.1 PCS 38.2 | Being a smoker and presenting a psychiatric pathology influences post-surgery quality of life. | 2b/B |
Mathisen et al. [26], 2007 Norway | Prospective cohorts | 108 81% men | - | SF36 (General-care subscale) | Beforehand, after 3 months, 6 months, and 1 year | 57.7 (21.1) | 67.2 (19.7) | Quality of life can both influence and be used as a health status outcome after surgery. Most of the improvements in quality of life occurred in the first 3 months. | 2b/B |
Peric et al. [28], 2006 Serbia | Prospective cohorts | 243 80% men | - | NHP | Beforehand and after 6 months | - | - | Patients with a higher degree of angina had worse quality of life both before and after the operation | 2b/B |
Peric et al. [27], 2005 Serbia | Prospective cohorts | 243 80% men | Elective | NHP | Beforehand and after 6 months | - | - | Patients with a high mortality risk according to EUROSCORE have a worse quality of life before surgery and improved perceived energy after surgery. | 2b/B |
Peric et al. [29], 2010 Serbia | Prospective cohorts | 243 80% men | Elective | NHP | Beforehand and after 6 months | - | - | Although the quality of life of both sexes improves after CABG, women have a worse quality of life both before and after surgery. | 2b/B |
Dimension | Prevalence Pre (CI-95%) | Prevalence Post (CI-95%) |
---|---|---|
Impact on working life | 17% (2–42%) | 6% (1–15%) |
Impact on work/housework | 27% (5–59%) | 11% (3–23%) |
Impact on social life | 15% (4–33%) | 4% (1–10%) |
Impact on family relationships | 9% (2–20%) | 3% (1–9%) |
Impact on sex life | 23% (2–58%) | 14% (1–40%) |
Impact on hobbies | 30% (3–70%) | 12% (2–28%) |
Impact on holidays | 22% (2–58%) | 8% (1–20%) |
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Schmidt-RioValle, J.; Abu Ejheisheh, M.; Membrive-Jiménez, M.J.; Suleiman-Martos, N.; Albendín-García, L.; Correa-Rodríguez, M.; Gómez-Urquiza, J.L. Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis. Int. J. Environ. Res. Public Health 2020, 17, 8439. https://doi.org/10.3390/ijerph17228439
Schmidt-RioValle J, Abu Ejheisheh M, Membrive-Jiménez MJ, Suleiman-Martos N, Albendín-García L, Correa-Rodríguez M, Gómez-Urquiza JL. Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 2020; 17(22):8439. https://doi.org/10.3390/ijerph17228439
Chicago/Turabian StyleSchmidt-RioValle, Jacqueline, Moath Abu Ejheisheh, María José Membrive-Jiménez, Nora Suleiman-Martos, Luis Albendín-García, María Correa-Rodríguez, and José Luis Gómez-Urquiza. 2020. "Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis" International Journal of Environmental Research and Public Health 17, no. 22: 8439. https://doi.org/10.3390/ijerph17228439
APA StyleSchmidt-RioValle, J., Abu Ejheisheh, M., Membrive-Jiménez, M. J., Suleiman-Martos, N., Albendín-García, L., Correa-Rodríguez, M., & Gómez-Urquiza, J. L. (2020). Quality of Life After Coronary Artery Bypass Surgery: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 17(22), 8439. https://doi.org/10.3390/ijerph17228439