2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

AIM: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery. METHODS: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

A 17-year-old boy with chest pain and transient ventricular wall thickening.

We describe the case of a 17-year-old boy who developed acute myopericarditis associated with transient ventricular wall thickening. This is a unique teaching case illustrating that acute myocarditis can be associated with significant oedema, secondary to inflammation, causing marked wall thickening that is apparent on echocardiography. This oedema resolves completely with anti-inflammatory drug treatment.

Performance of the AUB-HAS2 Cardiovascular Risk Index in vascular surgery patients.

The American University of Beirut (AUB)-HAS2 risk index is a recently published tool for preoperative cardiovascular evaluation. It is based on six data elements: history of Heart disease, symptoms of Heart disease (angina or dyspnea), Age ⩾ 75 years, Anemia (hemoglobin < 12 mg/dL), emergency Surgery, and vascular Surgery. This study analyzes the performance of a modified AUB-HAS2 index (excluding the vascular surgery element) in a broad spectrum of vascular surgery procedures. The study population consisted of 90,476 vascular surgeries registered in the American College of Surgeons National Surgical Quality Improvement Program database. The performance of the AUB-HAS2 index was studied in seven groups: carotid endarterectomy (CEA), open abdominal aortic aneurysm surgical repair (OAAA), endovascular aortic aneurysm repair, supra-inguinal bypass, infra-inguinal bypass, lower extremity thrombo-endarterectomy, and lower extremity angioplasty. The outcome measure was death, myocardial infarction, or stroke at 30 days after surgery. Each patient was given an AUB-HAS2 score of 0, 1, 2, or > 2 depending on the number of data elements s/he has. The AUB-HAS2 index was able to stratify risk in the majority of patients into low (< 3%, score 0), intermediate (3-10%, score 1-2), and high (> 10%, score > 2) (p < 0.0001). The receiver operating curve had an area of 0.71 in the overall group and it ranged from 0.60 in CEA patients to 0.75 in OAAA patients. In conclusion, the AUB-HAS2 index is a simple tool that can quickly and effectively stratify the risk of patients undergoing a broad spectrum of vascular surgeries into low, intermediate, and high.

Variations in the referral patterns to pharmacologic and exercise myocardial perfusion imaging.

BACKGROUND: Myocardial perfusion imaging (MPI) is commonly utilized for the non-invasive evaluation of patients with suspected coronary artery disease (CAD). It is either performed with exercise or pharmacologic stress. The objective of this study is to compare the referral patterns and diagnostic findings in patients referred for pharmacologic vs exercise MPI. METHODS AND RESULTS: This was a prospective study of 429 consecutive patients who were referred for MPI at the American University of Beirut Medical Center (23% had pharmacologic stress with dipyridamole and 77% had exercise stress testing). Patients referred to pharmacologic stress were older, had a higher percentage of women, and a higher prevalence of diabetes and hypertension. There were more abnormal scans in the pharmacologic stress group (38% vs 20%, P < 0.001), as well as a higher prevalence of ischemia (21% vs 13%, P < 0.001) and impaired left ventricular function with an ejection fraction < 50% (19% vs 7.9%, P < 0.001). The significant predictors for referral to pharmacologic stress by multivariable logistic regression analysis were older age (OR = 2.01 (1.57-2.57), P < 0.001) and diabetes (OR = 2.04 (1.19-3.49), P = 0.009). CONCLUSION: Patients referred for pharmacologic stress MPI are at a higher risk than those referred for exercise stress MPI with more CAD risk factors, older age, and a higher prevalence of abnormal MPI findings.

Interventions for smoking cessation in patients admitted with Acute Coronary Syndrome: a review.

Tobacco smoking contributes to about six million deaths per year and is predicted to increase in the future. Several pharmacological interventions are used for smoking cessation. Trials using nicotine replacement therapy (NRT) in acute coronary syndrome (ACS) showed inconclusive results. Furthermore, three trials using bupropion in patients admitted with ACS failed to show improvement in smoking cessation compared with placebo. Interestingly, only one trial using varenicline was successful in achieving smoking abstinence in the acute setting. With regard to behavioural interventions, a meta-analysis found that telephone counselling was successful in both the acute and stable settings, with greater effect in the acute setting. The best results for smoking cessation were found in trials that used a combination of pharmacological and behavioural interventions. The objective of this report is to review the results of studies on interventions used for smoking cessation after an ACS.

Comparison of the performance of the AUB-HAS2 Cardiovascular Risk Index in emergency vs elective surgeries.

BACKGROUND: The AUB-HAS2 Cardiovascular Risk Index is a newly derived tool for preoperative cardiovascular evaluation. It is based on six data elements: history of heart disease, symptoms of angina or dyspnea, age ≥ 75 years, hemoglobin < 12 g/dl, vascular surgery, and emergency surgery. This study compares the performance of this new index among emergency and elective surgeries. METHODS AND RESULTS: The study population consisted of 1,167,414 non-cardiac surgeries registered in the American College of Surgeons National Surgical Quality Improvement Program database (153,715 were emergency and 1,013,699 were elective). Each patient was given an AUB-HAS2 score of 0, 1, 2, 3, or >3 depending on the number of data elements s/he has. The outcome measure (death, myocardial infarction, or stroke at 30 days after surgery) was higher in emergency than elective surgeries (7.0 % vs 1.4 %, p < 0.0001). The AUB-HAS2 index was able to stratify risk in both types of surgeries with a gradual increase in risk as the score increased (p < 0.0001). The discriminatory power of the AUB-HAS2 index, measured by the area under the receiver operator characteristic curves, was good and similar in the two types of surgeries (0.804 for emergency vs 0.791 for elective surgeries). CONCLUSION: The AUB-HAS2 index is a versatile tool that can effectively and equally stratify risk in both emergency and elective surgeries with a good discriminatory power.

2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines.

AIM: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery. METHODS: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed.

Effect of age and gender on pre-operative cardiovascular risk assessment.

BACKGROUND: The AUB-HAS2 Cardiovascular Risk Index is a recently published tool for pre-operative cardiovascular evaluation. It is based on six data elements: history of heart disease, symptoms of angina or dyspnea, age ≥ 75 years, hemoglobin < 12 mg/dl, vascular surgery, and emergency surgery. The objective of this study is to study the effect of age and gender on the performance of the AUB-HAS2 Index in pre-operative cardiovascular risk assessment. METHODS: The study population consisted of 1,167,414 non-cardiac surgeries registered in the ACS NSQIP database. The population was stratified by age (≥ 40 and < 40 years old) and by gender (men and women). Each patient was given an AUB-HAS2 score of 0, 1, 2, 3, or > 3 based on the number of data elements s/he has. The outcome measure was all-cause mortality, myocardial infarction (MI), or stroke at 30 days after surgery. RESULTS: The overall 30-day event rate was higher in patients ≥ 40 years compared to those < 40 years (2.5% vs 0.3%, P < 0.0001) and in men compared to women (2.7% vs 1.8%, P < 0.0001). In both age and gender subgroups, there was a gradual and significant increase in the outcome measure (death, MI, or stroke) as the AUB-HAS2 score increased: from ≤ 0.5% in those with a score of 0 to more than 15% in those with a score > 3 (P < 0.0001). The AUB-HAS2 Index was able to stratify risk in all subgroups into low, intermediate, and high (P < 0.0001). Receiver operating characteristic curves showed the AUB-HAS2 Index has very good discriminatory power in both age (area under the curve (AUC) of 0.81 and 0.78) and gender (AUCs of 0.79 and 0.84) subgroups. CONCLUSION: This study extends the validation of the newly derived AUB-HAS2 Cardiovascular Risk Index to different age and gender subgroups with very good discriminative power.

Major adverse cardiovascular events following partial nephrectomy: a procedure-specific risk index.

Introduction: Partial nephrectomy (PN) is associated with a non-negligible risk of postoperative cardiovascular morbidity and mortality. Identification of high-risk patients may enable optimization of perioperative management and consideration of alternative approaches. The authors aim to develop a procedure-specific cardiovascular risk index for PN patients and compare its performance to the widely used revised cardiac risk index (RCRI) and AUB-HAS2 cardiovascular risk index. Methods: The cohort was derived from the American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) database. The primary outcome was the incidence of major adverse cardiovascular events (MACE), defined as 30-day postoperative incidence of myocardial infarction, stroke, or mortality. A multivariate logistic regression model was constructed; performance and calibration were evaluated using an ROC analysis and the Hosmer-Lemeshow test and compared to the RCRI and the AUB-HAS2 index. Results: In a cohort of 4795 patients, MACE occurred in 52 (1.1%) patients. A univariate analysis yielded 13 eligible variables for entry into the multivariate model. The final PN-A4CH model utilized six variables: Age ⩾75 years, ASA class >2, Anemia, surgical Approach, Creatinine >1.5, and history of Heart disease. Index ROC analysis provided a C-statistic of 0.81, calibration R 2 was 0.99, and sensitivity was 85%. In comparison, the RCRI and AUB-HAS2 C-statistics were 0.59 and 0.68, respectively. Conclusion: This study proposes a novel procedure-specific cardiovascular risk index. The PN-A4CH index demonstrated good predictive ability and excellent calibration using a large national database and may enable further individualization of patient care and optimization of patient selection.

A novel radical prostatectomy specific index (PSI) for the prediction of major cardiovascular events following surgery.

PURPOSE: Prostate cancer patients tend to be older with multiple comorbidities and are thus at increased risk for postoperative cardiovascular events after radical prostatectomy (RP). Thus, proper patient selection strategies are essential to decide for or against a surgical approach. We aimed to derive a prostatectomy specific index (PSI) for patients undergoing RP and compare its performance to universally used indices. METHODS: The cohort was derived from National Surgical Quality Improvement Program database between 2005 and 2012. The primary outcome was incidence of major adverse cardiovascular events at 30 days post-surgery including: death, myocardial infarction, or stroke. A multivariable logistic regression model was constructed, performance and calibration were evaluated using a ROC analysis and the Hosmer-Lemeshow test, the PSI index was derived and compared to the RCRI and AUB-HAS2 indices. RESULTS: A total of 17,299 patients were included in our cohort, with a mean age of 62 ± 7.4 years. Seventy three patients had a cardiac event post RP. The final PSI index encompassed six variables: history of heart disease, age, anemia, American society of anesthesiology class, surgical approach, and hypertension. The PSI ROC analysis provided C-statistic = 0.72, calibration R2 = 0.99 and proper goodness of fit. In comparison, the C-statistics of RCRI and AUB-HAS2 were found to be 0.57 and 0.65, respectively (p value < 0.001). CONCLUSION: The PSI model is a procedure tailored index for prediction of major cardiovascular events post RP. It was calibrated using a large national database aiming to optimize treatment selection strategies for prostate cancer patients.

Evaluation of the appropriateness criteria for coronary computed tomography angiography in an academic medical center in a developing country: comparison of the 2006 and 2010 criteria.

BACKGROUND: The aims of this study are to analyze the risk profile and evaluate the appropriateness of patient referral to coronary CT angiography in a new MSCT laboratory in an academic medical center in a developing country. METHODS AND RESULTS: The study population consisted of 100 consecutive patients (mean age 53 ± 13 years, 83% males) who were referred to the new 64 slice MSCT laboratory at the American University of Beirut between July 2008 and July 2009. 52% of patients had chest pain and 48% were asymptomatic. By the 2006 ACCF criteria, only 8% of the referrals fitted the "Appropriate" criteria, 49% were "Inappropriate", and 43% were "Uncertain". The percentage of "Appropriate" indications increased from 8% by the 2006 criteria to 38% by the 2010 ACCF criteria. Framingham risk score (FRS) calculation showed a substantial percentage (46%) of patients to be at low risk, with 32% being at intermediate risk, and 22% at high risk. The prevalence of high calcium score (>400) (0% vs 22%, vs 27%, P < .001) and of obstructive CAD (4% vs 23% vs 40%, P < .001) increased steadily across the low, intermediate, and high FRS groups, respectively. CONCLUSIONS: There was a significant increase in the percentage of "Appropriate" indications for MSCT when comparing the 2010 to the 2006 ACCF appropriateness criteria. However, in spite of that, there was still significant deviation from the ACCF appropriateness criteria among patients referred for coronary CT angiography in this new MSCT laboratory in a developing country.

AUB-HAS2 Cardiovascular Risk Index: Performance in Surgical Subpopulations and Comparison to the Revised Cardiac Risk Index.

Background The American University of Beirut (AUB)-HAS2 Cardiovascular Risk Index is a newly derived index for preoperative cardiovascular evaluation. It is based on 6 data elements: history of heart disease; symptoms of angina or dyspnea; age ≥75 years; hemoglobin <12 mg/dL; vascular surgery; and emergency surgery. In this study we analyze the performance of this new index and compare it with that of the Revised Cardiac Risk Index in a broad spectrum of surgical subpopulations. Methods and Results The study population consisted of 1 167 278 noncardiac surgeries registered in the American College of Surgeons National Surgical Quality Improvement Program database. Each patient was given an AUB-HAS2 score of 0, 1, 2, 3, or >3, depending on the number of data elements present. The performance of the AUB-HAS2 index was studied in 9 surgical specialty groups and in 8 commonly performed site-specific surgeries. Receiver operating characteristic curves were constructed for the AUB-HAS2 and Revised Cardiac Risk Index measures, and the areas under the curve were compared. The outcome measure was death, myocardial infarction, or stroke at 30 days after surgery. The AUB-HAS2 score was able to stratify risk in all surgical subgroups (P<0.001). In the majority of surgeries, patients with an AUB-HAS2 score of 0 had an event rate of <0.5%. The performance of the AUB-HAS2 index was superior to that of the Revised Cardiac Risk Index in all surgical subgroups (P<0.001). Conclusions This study extends the validation of the AUB-HAS2 index to a broad spectrum of surgical subpopulations and demonstrates its superior discriminatory power compared with the commonly utilized Revised Cardiac Risk Index.