Quality of Life After Cardiac Operations Based on the Minimal Clinically Important Difference Concept

Demystifying the Value of Minimal Clinically Important Difference in the Cardiothoracic Surgery Context

The aim of this review is to describe the different statistical methods used in estimating the minimal clinically important difference (MCID) for the assessment of quality of life (QOL)-related and clinical improvement interventions, along with their implementation in cardiothoracic surgery. A thorough literature search was performed in three databases (PubMed/Medline, Scopus, Google Scholar) for relevant articles from 1980 to 2022. We included articles that implemented and assessed statistical methods used to estimate the concept of MCID in cardiothoracic surgery. MCID has been successfully implemented in several medical specialties. Anchor-based and distribution-based methods are the most common approaches when evaluating the MCID. Nonetheless, we found only five studies investigating the MCID in the context of cardiothoracic surgery. Four of them used anchor-based approaches, and one used both anchor-based and distribution-based methods. MCID values were very variable depending on the methods applied, as was the clinical context of the study. The variables of interest were certain QOL measuring questionnaires, used as anchors. Multiple anchors and methods were applied, leading to different estimations of MCID. Since cardiothoracic surgery is related to important perioperative morbidity, MCID might represent an important and efficient adjunct tool to interpret clinical outcomes. The need for MCID methodology implementation is even higher in patients with heart failure undergoing cardiac surgery. More studies are needed to validate different MCID methods in this context.

Pre-surgery optimization of patients' expectations to improve outcome in heart surgery: Study protocol of the randomized controlled multi-center PSY-HEART-II trial

The PSY-HEART-I trial indicated that a brief expectation-focused intervention prior to heart surgery improves disability and quality of life 6 months after coronary artery bypass graft surgery (CABG). However, to investigate the clinical utility of such an intervention, a large multi-center trial is needed to generalize the results and their implications for the health care system. The PSY-HEART-II study aims to examine whether a preoperative psychological intervention targeting patients' expectations (EXPECT) can improve outcomes 6 months after CABG (with or without heart valve replacement). EXPECT will be compared to Standard of Care (SOC) and an intervention providing emotional support without targeting expectations (SUPPORT). In a 3-arm multi-center randomized, controlled, prospective trial (RCT), N = 567 patients scheduled for CABG surgery will be randomized to either SOC alone or SOC and EXPECT or SOC and SUPPORT. Patients will be randomized with a fixed unbalanced ratio of 3:3:1 (EXPECT: SUPPORT: SOC) to compare EXPECT to SOC and EXPECT to SUPPORT. Both psychological interventions consist of 2 in-person sessions (à 50 minute), 2 phone consultations (à 20 minute) during the week prior to surgery, and 1 booster phone consultation post-surgery 6 weeks later. Assessment will occur at baseline approx. 3-10 days before surgery, preoperatively the day before surgery, 4-6 days later, and 6 months after surgery. The study's primary end point will be patients' illness-related disability 6 months after surgery. Secondary outcomes will be patients' expectations, subjective illness beliefs, quality of life, length of hospital stay and blood sample parameters (eg, inflammatory parameters such as IL-6, IL-8, CRP). This large multi-center trial has the potential to corroborate and generalize the promising results of the PSY-HEART-I trial for routine care of cardiac surgery patients, and to stimulate revisions of treatment guidelines in heart surgery.

Health-related quality of life after restrictive versus liberal RBC transfusion for cardiac surgery: Sub-study from a randomized clinical trial

BACKGROUND

Transfusion Requirements in Cardiac Surgery III (TRICS III), a multi-center randomized controlled trial, demonstrated clinical non-inferiority for restrictive versus liberal RBC transfusion for patients undergoing cardiac surgery. However, it is uncertain if transfusion strategy affects long-term health-related quality of life (HRQOL).

STUDY DESIGN AND METHODS

In this planned sub-study of Australian patients in TRICS III, we sought to determine the non-inferiority of restrictive versus liberal transfusion strategy on long-term HRQOL and to describe clinical outcomes 24 months postoperatively. The restrictive strategy involved transfusing RBCs when hemoglobin was <7.5 g/dl; the transfusion triggers in the liberal group were: <9.5 g/L intraoperatively, <9.5 g/L in intensive care, or <8.5 g/dl on the ward. HRQOL assessments were performed using the 36-item short form survey version 2 (SF-36v2). Primary outcome was non-inferiority of summary measures of SF-36v2 at 12 months, (non-inferiority margin: -0.25 effect size; restrictive minus liberal scores). Secondary outcomes included non-inferiority of HRQOL at 18 and 24 months.

RESULTS

Six hundred seventeen Australian patients received allocated randomization; HRQOL data were available for 208/311 in restrictive and 217/306 in liberal group. After multiple imputation, non-inferiority of restrictive transfusion at 12 months was not demonstrated for HRQOL, and the estimates were directionally in favor of liberal transfusion. Non-inferiority also could not be concluded at 18 and 24 months. Sensitivity analyses supported these results. There were no differences in quality-adjusted life years or composite clinical outcomes up to 24 months after surgery.

DISCUSSION

The non-inferiority of a restrictive compared to a liberal transfusion strategy was not established for long-term HRQOL in this dataset.

Predictors of health-related quality of life after cardiac surgery: a systematic review

BACKGROUND

Health-related quality of life (HRQoL) is important in determining surgical success, particularly from the patients' perspective.

AIMS

To identify predictors for HRQoL outcome after cardiac surgery in order to identify potentially modifiable factors where interventions to improve patient outcomes could be targeted.

METHODS

Electronic databases (including MEDLINE, CINAHL, Embase) were searched between January 2001 and December 2020 for studies determining predictors of HRQoL (using a recognised and validated tool) in adult patients undergoing cardiac surgery. Data extraction and quality assessments were undertaken and data was summarised using descriptive statistics and narrative synthesis, as appropriate.

RESULTS

Overall, 3924 papers were screened with 41 papers included in the review. Considerable methodological heterogeneity between studies was observed. Most were single-centre (75.6%) prospective observational studies (73.2%) conducted in patients undergoing coronary artery bypass graft (CABG) (n = 51.2%) using a version of the SF-36 (n = 63.4%). Overall, 103 independent predictors (62 pre-operative, five intra-operative and 36 post-operative) were identified, where 34 (33.0%) were reported in more than one study. Potential pre-operative modifiable predictors include alcohol use, BMI/weight, depression, pre-operative quality of life and smoking while in the post-operative period pain and strategies to reduce post-operative complications and intensive care and hospital length of stay are potential therapeutic targets.

CONCLUSION

Despite a lack of consistency across studies, several potentially modifiable predictors were identified that could be targeted in interventions to improve patient or treatment outcomes. This may contribute to delivering more person-centred care involving shared decision-making to improve patient HRQoL after cardiac surgery.

Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma

Background

Predicting reduced health-related quality of life (HRQoL) after resection of a benign or low-grade brain tumour provides the opportunity for early intervention, and targeted expenditure of scarce supportive care resources. We aimed to develop, and evaluate the performance of, machine learning (ML) algorithms to predict HRQoL outcomes in this patient group.

Methods

Using a large prospective dataset of HRQoL outcomes in patients surgically treated for low grade glioma, acoustic neuroma and meningioma, we investigated the capability of ML to predict a) HRQoL-impacting symptoms persisting between 12 and 60 months from tumour resection and b) a decline in global HRQoL by more than the minimum clinically important difference below a normative population mean within 12 and 60 months after resection. Ten-fold cross-validation was used to measure the area under the receiver operating characteristic curve (AUC), area under the precision-recall curve (PR-AUC), sensitivity, and specificity of models. Six ML algorithms were explored per outcome: Random Forest Classifier, Decision Tree Classifier, Logistic Regression, K Neighbours Classifier, Support Vector Machine, and Gradient Boosting Machine.

Results

The final cohort included 262 patients. Outcome measures for which AUC>0.9 were Appetite loss, Constipation, Nausea and vomiting, Diarrhoea, Dyspnoea and Fatigue. AUC was between 0.8 and 0.9 for global HRQoL and Financial difficulty. Pain and Insomnia achieved AUCs below 0.8. PR-AUCs were similar overall to the AUC of each respective classifier.

Conclusions

ML algorithms based on routine demographic and perioperative data show promise in their ability to predict HRQoL outcomes in patients with low grade and benign brain tumours between 12 and 60 months after surgery.

Quality of Life Is Improved 1 Year After Cardiac Surgery

BACKGROUND

Quality of life (QoL) is increasingly important in the era of patient-centered outcomes and value-based reimbursement. However most follow-up is limited to 30 days, and long-term data on QoL improvement associated with symptom relief are lacking. Therefore we sought to analyze QoL after cardiac surgery in a nonemergent, all-comers population.

METHODS

Four hundred two patients undergoing routine cardiac surgery at 2 large urban hospitals in the Dallas, Texas area were enrolled. Follow-up was complete for 364 patients. Data were collected from August 2013 to January 2017. The Kansas City Cardiomyopathy Questionnaire was administered at baseline, 1 month, and 1 year after surgery. Repeated-measures analysis was used for each domain of the questionnaire for all procedures and stratified by procedure. If time was found to be a significant factor, pairwise analysis was performed with P values adjusted using the Tukey-Kramer method.

RESULTS

There was a significant increase across all domains of Kansas City Cardiomyopathy Questionnaire scores for all procedures and for most domains when stratifying by procedure. This increase in QoL was most marked after 1 month. All domain scores increased through 1 year except symptom stability, which peaked at 1 month postsurgery and then regressed at 1 year, suggesting an overall improvement and stabilization of symptoms. The occurrence of complications did not alter this trajectory.

CONCLUSIONS

QoL and other patient-centered outcomes are improved at 1 month and continue to improve throughout the year. Knowledge of these data is important for patient selection, fully informed consent, and shared decision-making.

Impact of Preoperative Functional Status on Quality of Life after Cardiac Surgery

BACKGROUND

 With increasing importance, health-related quality of life (HRQoL) has become a crucial outcome measure of cardiac surgery. The aim of this study was to assess the dynamics of HRQoL change within 12 months after surgery and to identify predictors of deterioration in physical and mental health.

METHODS

 The cohort of this prospective study included 164 consecutive patients who underwent elective surgery. HRQoL was assessed on the basis of the Short-Form 36 questionnaire at three different times: upon admission and at 3 and 12 months after surgery. The minimal clinically important difference (MCID) was used to determine whether the surgery resulted in deterioration of HRQoL.

RESULTS

 In general, physical and mental health status improved within the first year after cardiac surgery. However, after 12 months, 7.9 and 21.2% of patients had clinically significant poorer physical (PCS) and mental component summary (MCS) scores, based on the MCID approach. The results of multivariate analysis identified preoperative health status, age < 70 years, coronary artery bypass grafting, and a previous neurological event as predictors of deterioration in postoperative HRQoL. The greatest risks for deterioration were higher preoperative PCS and MCS scores.

CONCLUSION

 Although we were able to demonstrate a general improvement in the HRQoL following cardiac surgery, in one-fifth of patients, there was no recovery of mental health status even after 1 year. As this effect is mainly determined by preoperative functional status, HRQoL should be an integral part of medical consultation, especially in younger patients with a positive perception of quality of life.