Key result
Preoperative socio-demographic factors (age, gender, marriage, employment) influenced health-related quality of life after CABG, explaining 7% of the variance.
Why the study?
To achieve a beneficial impact on long-term outcome after CABG by identifying patients at risk of impaired postoperative health-related quality of life, particularly evaluating socio-demographic variables.
Do preoperative socio-demographic factors predict health-related quality of life after coronary artery bypass surgery better than medical variables?
Cohort (n=3,237)
No
Do preoperative socio-demographic factors predict health-related quality of life after coronary artery bypass surgery better than medical variables?
Preoperative socio-demographic characteristics such as age, gender, marriage, and employment are more predictive of health-related quality of life 6 months after CABG than multiple medical variables.
Answers are grounded in this paper and cite their sources.
Socio-demographics modestly outperform medical variables in predicting post-CABG HRQoL; hypothesis-generating, should not yet change practice.
OBJECTIVES: To achieve a beneficial impact on long-term outcome after coronary artery bypass grafting (CABG), the goal of the present study was the early identification of patients at risk of impaired postoperative health-related quality of life (HRQoL), particularly evaluating the significance of socio-demographic variables. METHODS: In this prospective, single-centre cohort study of patients having an isolated CABG (January 2004-December 2014), preoperative socio-demographic (preSOC) and preoperative medical variables as well as 6-month follow-up data including the Nottingham Health Profile were analysed in 3,237 patients. RESULTS: All preSOC (gender, age, marriage and employment) and follow-up (chest pain, dyspnoea) variables proved to have significant influence on HRQoL (P < 0.001), male patients below 60 years being particularly impaired. The effects of marriage and employment on HRQoL are modulated by age and gender. The significance of the predictors of reduced HRQoL differs between the 6 Nottingham Health Profile domains. Multivariable regression analyses revealed explained proportions of variance amounting to 7% for preSOC and 4% for preoperative medical variables. CONCLUSIONS: The identification of patients at risk of impaired postoperative HRQoL is decisive for providing additional support. This study reveals that the assessment of 4 preoperative socio-demographic characteristics (age, gender, marriage, employment) is more predictive of HRQoL after CABG than are multiple medical variables.
No takes yet. Share an insight, caveat, or question.
Assmann et al. (2023) conducted a cohort in Coronary artery bypass grafting (CABG) (n=3,237). Preoperative socio-demographic factors vs. Preoperative medical variables was evaluated on Health-related quality of life (HRQoL) (p=<0.001). Preoperative socio-demographic factors (age, gender, marriage, employment) influenced health-related quality of life after CABG, explaining 7% of the variance.
Synapse has enriched 10 related papers. Consider them for comparative context: