Heart Failure in Patients Undergoing Elective and Emergency Noncardiac Surgery: Still a Poorly Addressed Risk Factor

Heart failure is associated with increased risk of all-cause mortality after transvenous lead extraction: A systematic review and meta-analysis

BACKGROUND

Transvenous lead extraction (TLE) is increasingly considered in cardiac implantable electronic device management. Heart failure (HF) might be associated with mortality risks after the TLE procedure. This study aims to assess mortality risk in HF patients undergoing TLE.

METHOD

We searched MEDLINE and Embase databases from inception to June 2022 to identify articles that included patients with and without HF who underwent TLE, which reported mortality in both groups. The pooled effect size was calculated with a random-effects model and 95% CI to compare post-TLE mortality between the two groups.

RESULTS

Eleven studies were included in the analysis. Each left ventricular ejection fraction (LVEF) increased by 1% was associated with reduced mortality by 2% (HR = 0.98, 95% CI: 0.97-0.99, I 2 = 74.9%, p < .01). The presence of HF compared to those without HF was associated with higher mortality rates (OR: 3.04, 95% CI: 2.56-3.61, I 2 = 0.0%, p < .531). There was a significant increase in the mortality rates in patients with New York Heart Association (NYHA) function class III (OR: 2.29, 95% CI: 1.29-4.06, I 2 = 0.0%, p = .498) and NYHA IV (OR: 8.5, 95% CI: 2.98-24.3, I 2 = 0.0%, p = .997).

CONCLUSIONS

Our study found that post-TLE mortality decreases by 2% as LVEF increases by 1%, also mortality is higher in patients with NYHA III and IV.

Acute heart failure after non-cardiac surgery: incidence, phenotypes, determinants and outcomes

AIMS

Primary acute heart failure (AHF) is a common cause of hospitalization. AHF may also develop postoperatively (pAHF). The aim of this study was to assess the incidence, phenotypes, determinants and outcomes of pAHF following non-cardiac surgery.

METHODS AND RESULTS

A total of 9164 consecutive high-risk patients undergoing 11 262 non-cardiac inpatient surgeries were prospectively included. The incidence, phenotypes, determinants and outcome of pAHF, centrally adjudicated by independent cardiologists, were determined. The incidence of pAHF was 2.5% (95% confidence interval [CI] 2.2-2.8%); 51% of pAHF occurred in patients without known heart failure (de novo pAHF), and 49% in patients with chronic heart failure. Among patients with chronic heart failure, 10% developed pAHF, and among patients without a history of heart failure, 1.5% developed pAHF. Chronic heart failure, diabetes, urgent/emergent surgery, atrial fibrillation, cardiac troponin elevations above the 99th percentile, chronic obstructive pulmonary disease, anaemia, peripheral artery disease, coronary artery disease, and age, were independent predictors of pAHF in the logistic regression model. Patients with pAHF had significantly higher all-cause mortality (44% vs. 11%, p < 0.001) and AHF readmission (15% vs. 2%, p < 0.001) within 1 year than patients without pAHF. After Cox regression analysis, pAHF was an independent predictor of all-cause mortality (adjusted hazard ratio [aHR] 1.7 [95% CI 1.3-2.2]; p < 0.001) and AHF readmission (aHR 2.3 [95% CI 1.5-3.7]; p < 0.001). Findings were confirmed in an external validation cohort using a prospective multicentre cohort of 1250 patients (incidence of pAHF 2.4% [95% CI 1.6-3.3%]).

CONCLUSIONS

Postoperative AHF frequently developed following non-cardiac surgery, being de novo in half of cases, and associated with a very high mortality.

The Association Between Congestive Heart Failure and One-Year Mortality After Surgery in Singaporean Adults: A Secondary Retrospective Cohort Study Using Propensity-Score Matching, Propensity Adjustment, and Propensity-Based Weighting

Background

Although congestive heart failure (CHF) is considered a risk factor for postoperative mortality, reliable quantification of the relationship between CHF and postoperative mortality risk is limited. We aimed to investigate the association between CHF and 1-year mortality after surgery in a large cohort of the Singaporean population.

Methods

In this retrospective cohort study, the study population included 69,032 adult patients who underwent surgery at Singapore General Hospital between 1 January 2012 and 31 October 2016. The target independent and dependent variables were CHF and 1-year mortality after surgery, respectively. Propensity score was estimated using a non-parsimonious multivariable logistic regression model. Multivariable adjustment, propensity score matching, propensity score adjustment, and propensity score-based weighting Cox proportional-hazards regression were performed to investigate the association between CHF and 1-year mortality after surgery.

Results

The multivariate-adjusted hazard ratio (HR) in the original cohort was 1.39 (95% confidence interval (CI): 1.20–1.61, P < 0.001). In additional propensity score adjustment, the HR between CHF and 1-year mortality after surgery was 1.34 (95% CI: 1.15–1.56, P < 0.001). In the propensity score-matched cohort, the multivariate-adjusted Cox proportional hazard regression model analysis showed participants with CHF had a 54% increased risk of 1-year mortality after surgery (HR 1.54, 95% CI: 1.19–1.98, P < 0.001). The multivariate-adjusted HR of the inverse probability of treatment-weighted and standardised mortality ratio-weighted cohorts was 1.34 (95% CI: 1.10–1.62, P = 0.004) and 1.24 (95% CI: 1.17–1.32, P < 0.001), respectively.

Conclusion

CHF is an independent risk factor for 1-year mortality after surgery in patients undergoing surgery. Depending on the statistical method, patients with CHF had a 24–54% increased risk of 1-year all-cause mortality after surgery. This provides a reference for optimising clinical decision-making, improving preoperative consultation, and promoting clinical communication.