Key result
The AUB-HAS2 Cardiovascular Risk Index demonstrated very good discriminatory power for predicting 30-day mortality, myocardial infarction, or stroke across age and gender subgroups, with AUCs ranging from 0.78 to 0.84.
Why the study?
The study was conducted to evaluate the effect of age and gender on the performance of the recently published AUB-HAS2 Cardiovascular Risk Index for pre-operative risk assessment.
Does the AUB-HAS2 Cardiovascular Risk Index accurately stratify 30-day perioperative cardiovascular risk across different age and gender subgroups in patients undergoing non-cardiac surgery?
Cohort (n=1,167,414)
Yes
Does the AUB-HAS2 Cardiovascular Risk Index accurately stratify 30-day perioperative cardiovascular risk across different age and gender subgroups in patients undergoing non-cardiac surgery?
The AUB-HAS2 Cardiovascular Risk Index is a valid and highly discriminative tool for predicting 30-day perioperative cardiovascular events across different age and gender subgroups in non-cardiac surgery.
Supports AUB-HAS2 across age/gender subgroups; extends validation yet requires prospective confirmation.
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.
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Chehab et al. (2022) conducted a cohort in Non-cardiac surgery (n=1,167,414). AUB-HAS2 Cardiovascular Risk Index vs. Low vs high risk scores was evaluated on All-cause mortality, myocardial infarction, or stroke at 30 days after surgery (AUC 0.78 to 0.84, p=<0.0001). The AUB-HAS2 Cardiovascular Risk Index demonstrated very good discriminatory power for predicting 30-day mortality, myocardial infarction, or stroke across age and gender subgroups, with AUCs ranging from 0.78 to 0.84.
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