Long-Term Outcomes of Post-Operative Atrial Fibrillation: Guilty as Charged

Comparison of Frequency of Atrial Fibrillation in Blacks Versus Whites and the Utilization of Race in a Novel Risk Score

Blacks have a lower prevalence of atrial fibrillation (AF) compared with Whites. We sought to confirm previously reported ethnic trends in AF in Blacks and Whites in a large database, and develop a prediction score for AF. Over 330 million hospital discharges between the years 2003 to 2013 from the National Inpatient Sample database were analyzed. All hospitalizations with a diagnosis of AF formed the study cohort. Traditional risk factors for the development of AF were compared between Blacks and Whites. Univariate and multiple logistic regression analyses were used to formulate a risk score to predict AF-CHADSAVES (Congestive heart failure, Hypertension, Age>65 years, Diabetes Mellitus, prior Stroke, Age>75 years, Vascular disease, White Ethnicity, and previous cardiothoracic Surgery). AF prevalence in Whites was 11.3% vs 4.6% in Blacks (p < 0.001). Blacks were younger (33.8% vs 14.4% patients <65 years, p < 0.01) and had less males (46.3% vs 49.4%, p < 0.01). Blacks had more hypertension (71.3% vs 64.1%, p < 0.01), congestive heart failure (24.8% vs 22.6%, p < 0.01), diabetes mellitus with (7.5% vs 4.7%, p < 0.01) or without complications (30.3% vs 23.1%, p < 0.01), renal failure (29.7% vs 17.1%, p < 0.01), and obesity (13.1% vs 8.7%, p < 0.01). CHADSAVES predicted AF in the study population (NIS 2003 to 2013) with an AUC of 0.82 and verified in a validation cohort (NIS 2014) with an AUC of 0.85. In conclusion, our data confirm a significant AF ethnicity paradox. Despite a higher prevalence of traditional risk factors for AF, Blacks had >2-fold lower prevalence of AF compared with Whites. CHADSAVES can be used effectively to predict AF in inpatients.

Impact of Ageing on Hepatic Malignancy Resection: Is Age Really a Risk Factor for Mortality?

BACKGROUND

With an ageing population, it is paramount for surgeons to comprehend the implications of age on surgical outcomes. This study aims to identify the effects of age on perioperative outcomes post-hepatectomy.

METHODS

Between 2001 and 2017, 357 hepatectomies were performed in our centre for malignancy. Data recorded include demographic, histopathology and perioperative outcomes. Patients were divided into three age groups (Group 1 < 65 years, Group 2 65-74 years, Group 3 ≥ 75 years).

RESULTS

With increasing age, there was a trend towards patient having: ASA ≥ 3 (from 32.1% to 60.9%, p < 0.0001), clear margins (from 80.4% to 88.3%, p = 0.2256), days of hospitalisation (from 9.5 ± 6.9 to 12 ± 8.0, p = 0.0003), days of ICU admission (from 2.3 ± 2.8 to 2.8 ± 12.9, p = 0.0790) and morbidity (from 39% to 58.5%, p = 0.0073). Cardiovascular complications and postoperative delirium increase with age. There was no significant difference in mortality across the three groups. Univariate and bivariate binary logistic regressions found no association between mortality and age. When adjusted for age, 30- and 90-day mortality was significantly associated with Clavien-Dindo ≥ 3, length of hospital and cardiac complications. Additionally, 90-day mortality was significantly associated with ASA score ≥3, mass of liver resected, length of ICU stay and hepatobiliary, pulmonary and genitourinary complications.

CONCLUSION

Increased age is associated with increased post-hepatectomy complications, prolonged hospital stay and ICU admission. However, age itself is not a contraindication for hepatectomy and is not associated with increased mortality. Good histopathology outcomes and low mortality rates are achievable with careful patient selection and appropriate perioperative management.

Postoperative atrial fibrillation as a risk factor for cardiovascular complications in non-cardiac surgery

Reducing mortality due to cardiovascular complications (CVC) after non-cardiac surgery is one of the priority tasks of modern healthcare. According to the literature data, it is the CVC that are leading cause of perioperative mortality in non-cardiac surgery. Atrial fibrillation (AF) is a common complication after surgery. It is believed that in most cases the AF is potentiated by a combination of factors. It is intraoperative triggers, such as deliberate hypotension, anemia, injury, and pain, that can directly contribute to development of arrhythmia. However, heart rate monitoring after non-cardiac surgery is performed in only a small number of patients, so in most cases, arrhythmias remain unreported. The Revised Cardiac Risk Index (RCRI) and theAmericanCollegeof Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator are the current tools for assessing perioperative cardiovascular risk. Postoperative AF is not included in any CVC risk stratification system. The presented review systematizes the data that postoperative AF is closely associated with perioperative complications and in some cases it may be the only marker of these complications.  It has been shown that AF detection is of great clinical importance in both high-risk patients and, especially, in patients with a low risk of potential complications in non-cardiac surgery.

Incidence, Management, Prevention and Outcome of Post-Operative Atrial Fibrillation in Thoracic Surgical Oncology

Atrial fibrillation (AF) is a common supraventricular arrhythmia, a recognized risk factor for ischemic stroke, as a potential driver for heart failure (HF). Cancer patients have an increased risk for AF, even not including any cancer-specific treatment, as surgery or chemotherapy. The mechanism is multifactorial, with inflammation and changes in autonomic tone as critical actors. Commonly, AF is a recurrent complication of the post-operative period in cancer surgery (especially thoracic). Recent papers confirmed a significant incidence of post-operative (non-cardiac surgery) AF (PAF), partially mitigated by the use of prophylactic (rate o rhythm control) treatments. A relevant difference, in terms of mean hospitalization time, emerges between patients developing PAF and those who do not, while long term impact remains a matter of debate, due to several potential confounding factors. Besides clinical predictors, structural (i.e., echocardiographic) and bio-humoral findings may help in risk prediction tasks. In this respect, pre-operative natriuretic peptides (NPs) concentrations are nowadays recognized as significant independent predictors of perioperative cardiovascular complications (including PAF), while elevated post-operative levels may further enhance risk stratification. The aim of the present paper is to trace the state of the art in terms of incidence, management, prevention, and outcome of PAF in the field of thoracic surgical oncology.

The more you look, the more you find: atrial fibrillation - nowhere to hide

PURPOSE OF REVIEW

We provide an updated review on the incidence of postoperative atrial fibrillation (POAF) after cardiac surgery as determined by enhanced cardiac rhythm monitoring technology and provide a rationale for why a more aggressive detection approach for POAF may be clinically useful.

RECENT FINDINGS

Most of the published literature had focused on the in-hospital incidence of POAF after cardiac surgery. However, recent studies using continuous cardiac rhythm technologies revealed that the incidence of POAF during the postdischarge, subacute (<1 month) phase could be as high as 28%. This is a clinically relevant finding since that POAF is linked with occurrence of future, 'late' atrial fibrillation, and adverse clinical outcomes even beyond 1 year after cardiac surgery. Furthermore, the role of oral anticoagulation is still not well established for cardiac surgical patients with POAF because of lack of randomized trials specifically designed for this patient population.

SUMMARY

Emerging data suggest that POAF after cardiac surgery is not a transient, self-resolving phenomenon. Rather, its occurrence is associated with future risk of atrial fibrillation and long-term adverse outcomes such as stroke and death. This highlights the potential importance of enhanced cardiac rhythm monitoring to refine prognostic stratification in this high-risk patient population.