Revised Cardiac Risk Index Score Research Articles

Comparison of preoperative NT-proBNP and simple cardiac risk scores for predicting postoperative morbidity after non-cardiac surgery with intermediate or high surgical risk

BackgroundChronic heart failure (HF) is frequent in elderly patients undergoing non-cardiac surgery. Preoperative risk stratification is vital and can be achieved using simple clinical risk scores or preoperative N-terminal prohormone of brain natriuretic peptide (NT-proBNP) measurement. This study aimed to compare the predictivity of the revised cardiac risk index (RCRI), the American University of Beirut cardiovascular risk index (AUB-HAS2), and a score proposed by Andersson et al. for postoperative 30-day morbidity to preoperative NT-proBNP.MethodsPreoperative NT-proBNP was measured in 199 consecutive patients aged ≥ 65 years undergoing elective non-cardiac surgery with intermediate or high surgical risk. The areas under the receiver operating characteristic curve (AUCROC) for the composite morbidity endpoint (CME) comprising the incidence of any rehospitalisation, acute decompensated HF, acute kidney injury, and any infection at postoperative day 30 were assessed. Multivariable logistic regression analysis derived new scores from the simple risk scores and the NT-proBNP cut-off of 450 pg/mL.ResultsAUB-HAS2, but not RCRI or Andersson score, significantly predicted the CME (AUB-HAS2: AUCROC 0.646, p < 0.001; RCRI: AUCROC 0.560, p = 0.126; Andersson: AUCROC 0.487, p = 0.760). The AUCROC was comparable between preoperative NT-proBNP (0.679, p < 0.001) and AUB-HAS2 (p = 0.334). Multivariable analyses revealed a preoperative NT-proBNP ≥ 450 pg/mL to be the strongest predictor of CME among the individual score components (p < 0.001). Adding preoperative NT-proBNP improved the predictive value of AUB-HAS2 and RCRI (modified AUB-HAS2: AUCROC 0.703, p < 0.001; modified RCRI: AUCROC 0.679, p < 0.001; both p < 0.001 vs original scores). The predictive value of the modified RCRI and AUB-HAS2 was comparable to preoperative NT-proBNP alone (p = 0.988 vs modified RCRI, p = 0.367 vs modified AUB-HAS2).ConclusionsThe predictive value of postoperative morbidity varies significantly between the available simple perioperative risk scores and can be enhanced by preoperative NT-proBNP. New scores, including preoperative NT-proBNP, should be evaluated in large multicentre cohorts.Trial registrationGerman Clinical Trials Register: DRKS00027871.

Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study

Preoperative risk assessments used in clinical practice are insufficient in their ability to identify risk for postoperative mortality. Deep-learning analysis of electrocardiography can identify hidden risk markers that can help to prognosticate postoperative mortality. We aimed to develop a prognostic model that accurately predicts postoperative mortality in patients undergoing medical procedures and who had received preoperative electrocardiographic diagnostic testing. In a derivation cohort of preoperative patients with available electrocardiograms (ECGs) from Cedars-Sinai Medical Center (Los Angeles, CA, USA) between Jan 1, 2015 and Dec 31, 2019, a deep-learning algorithm was developed to leverage waveform signals to discriminate postoperative mortality. We randomly split patients (8:1:1) into subsets for training, internal validation, and final algorithm test analyses. Model performance was assessed using area under the receiver operating characteristic curve (AUC) values in the hold-out test dataset and in two external hospital cohorts and compared with the established Revised Cardiac Risk Index (RCRI) score. The primary outcome was post-procedural mortality across three health-care systems. 45 969 patients had a complete ECG waveform image available for at least one 12-lead ECG performed within the 30 days before the procedure date (59 975 inpatient procedures and 112 794 ECGs): 36 839 patients in the training dataset, 4549 in the internal validation dataset, and 4581 in the internal test dataset. In the held-out internal test cohort, the algorithm discriminates mortality with an AUC value of 0·83 (95% CI 0·79-0·87), surpassing the discrimination of the RCRI score with an AUC of 0·67 (0·61-0·72). The algorithm similarly discriminated risk for mortality in two independent US health-care systems, with AUCs of 0·79 (0·75-0·83) and 0·75 (0·74-0·76), respectively. Patients determined to be high risk by the deep-learning model had an unadjusted odds ratio (OR) of 8·83 (5·57-13·20) for postoperative mortality compared with an unadjusted OR of 2·08 (0·77-3·50) for postoperative mortality for RCRI scores of more than 2. The deep-learning algorithm performed similarly for patients undergoing cardiac surgery (AUC 0·85 [0·77-0·92]), non-cardiac surgery (AUC 0·83 [0·79-0·88]), and catheterisation or endoscopy suite procedures (AUC 0·76 [0·72-0·81]). A deep-learning algorithm interpreting preoperative ECGs can improve discrimination of postoperative mortality. The deep-learning algorithm worked equally well for risk stratification of cardiac surgeries, non-cardiac surgeries, and catheterisation laboratory procedures, and was validated in three independent health-care systems. This algorithm can provide additional information to clinicians making the decision to perform medical procedures and stratify the risk of future complications. National Heart, Lung, and Blood Institute.

Association of Cardiac Valve Calcification and 1-year Mortality after Lower-extremity Amputation in Diabetic Patients: A Retrospective Study

Background: Cardiac valve calcification predisposes patients to a higher risk of adverse cardiovascular events. This study aimed to investigate the association between cardiac valve calcification and 1-year mortality in diabetic patients after lower-extremity amputation. Methods: This was a retrospective study conducted on the clinical data of diabetic patients who underwent lower-extremity amputation admitted to the Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China for diabetic foot ulcers needed lower extremity amputation surgery between July 2017 and March 2021. Detailed preoperative medical assessments were performed and recorded. Cardiac valve calcification was assessed using echocardiography at baseline. Oneyear follow-up assessments were conducted and included clinical visits, hospital record assessments, and telephone reviews to obtain the survival status of patients. Results: Ninety-three diabetic patients participated in the study. The 1-year follow-up mortality rate after amputation was 24.7%. Compared to the survival group, the prevalence of cardiac valve calcification and the Revised Cardiac Risk Index (RCRI) were higher in the mortality group. In the Cox regression analysis, cardiac valvular calcification (HR=3.427, 95% CI=1.125- 10.443, p =0.030) was found to be an independent predictor of all-cause mortality after amputation. In addition, the patients with both aortic valve calcification and mitral annular calcification had a higher all-cause mortality rate (50%). Receiver operator characteristic curve analysis showed a stronger predictive ability when using a combination of calcified valve number and RCRI (AUC=0.786 95%, CI=0.676-0.896, p =0.000). Conclusion: In diabetic patients after lower-extremity amputation, cardiac valve calcification was associated with all-cause mortality during 1-year follow-up. Combination of calcified valve number and RCRI score showed a stronger predictive value for mortality.

Risk of age older than 65 years for 30-day cardiac complication may be comparable to low-to-moderate risk according to revised cardiac risk index in non-cardiac surgery

Revised cardiac risk index (RCRI) is widely used for surgical patients without containing age as a risk factor. We investigated age older than 65 years with respect to low-to-moderate risk of RCRI. From January 2011 to June 2019, a total of 203,787 consecutive adult patients underwent non-cardiac surgery at our institution. After excluding high-risk patients defined as RCRI score > 2, we stratified the patients into four groups according to RCRI and age (A: age < 65 with RCRI < 2, [n = 148,288], B: age ≥ 65 with RCRI < 2, [n = 42,841], C: age < 65 with RCRI = 2, [n = 5,271], and D: age ≥ 65 with RCRI = 2, [n = 5,698]). Incidence of major cardiac complication defined as a composite of cardiac death, cardiac arrest and myocardial infarction was compared. After excluding 1,689 patients with high risk (defined as RCRI score > 2), 202,098 patients were enrolled. The incidence with 95% confidence interval of major cardiac complication for A, B, C, and D groups was 0.3% (0.2–0.3), 1.1% (1.0–1.2), 1.8% (1.6–1.8), and 3.1% (2.6–3.6), respectively. In a direct comparison between B and C groups, old patients with RCRI < 2 showed a significantly lower risk compared to younger patients with RCRI = 2 (odd ratio, 0.62; 95% confidence interval, 0.50–0.78; p < 0.001). In non-cardiac surgery, the risk of age older than 65 years was shown to be comparable with low-to-moderate risk according to RCRI.

Impact of Preoperative Echocardiograms on In-Hospital Outcomes of Patients Undergoing Surgical Hip Fracture Repair and Their Clinical Appropriateness.

Preoperative transthoracic echocardiograms (TTE) before hip fracture repairs are controversial. This study aimed to quantify the frequency of ordering TTE, the appropriateness of testing based on current guidelines, and the impact of TTE on in-hospital morbidity and mortality outcomes. This retrospective chart review of adult patients admitted with hip fracture compared the length of stay (LOS), time to surgery, in-hospital mortality, and postoperative complications between TTE and non-TTE groups. TTE patients were risk stratified using the Revised Cardiac Risk Index (RCRI) to compare TTE indication according to current guidelines. Of the 490 patients included in this study, 15% received preoperative TTE. The median LOS of the TTE and non-TTE groups was 7.0 and 5.0 d, respectively, whereas the median time to surgery was 34 and 14 h, respectively. The odds of in-hospital mortality remained significantly higher in the TTE group after adjusting for RCRI but not when adjusted for the Charlson Comorbidity Index. Significantly more patients in the TTE groups had postoperative heart failure and up triage in the intensive care unit. Furthermore, 48% of patients with an RCRI score of 0 received preoperative TTE, with cardiac history as the most typical indication. TTE changed perioperative management in 9% of patients. Patients subjected to TTE before hip fracture surgery had a longer LOS and time to surgery, with higher mortality and intensive care unit up triage rates. TTE evaluations were typically conducted for inappropriate indications, which rarely made meaningful changes to patient management.

Improving the accuracy of revised cardiac risk index with HbA1C: Hemoglobin ratio (HH ratio) - A retrospective cohort study.

The current Lee's Revised cardiac risk index (RCRI) was created in 1999. Validation studies have found RCRI to be only moderately discriminant. The "Diabetes Mellitus on insulin" component of the score does not accurately reflect the severity of the disease. A previously studied HbA1C:Hemoglobin ratio shows an improved association with outcomes than individual components alone. A retrospective cohort study was performed in diabetic patients undergoing non-cardiac surgery. Ethics approval was obtained. The study compares the predictive value of RCRI and substitution of the "DM on insulin" component with HH ratio for 30- and 90-day mortality, and postoperative acute myocardial injury (AMI) and acute kidney injury (AKI). A total of 20,099 adult patients were included in the final analysis. The incidence of 30- and 90-day mortality was at 4.2 and 6.5%, respectively. Substitution of HH ratio in RCRI resulted in 687 more patients being in the moderate to high-risk category. The substituted HH-RCRI score had better prediction for 30-day (AUC 0.66 vs. 0.69, p < 0.001) and 90-day mortality (AUC 0.67 vs. 0.70, p < 0.001), and postoperative AMI (AUC 0.69 vs. 0.71, p < 0.001) and AKI (AUC 0.57 vs. 0.62, p < 0.001). Although currently not an universal practice, substitution of "DM on insulin" with HbA1C:Hemoglobin ratio in RCRI score improves the accuracy of the RCRI risk prediction model in diabetic patients going for non-cardiac surgery.

The revised cardiac risk index is associated with morbidity and mortality independent of injury severity in elderly patients with rib fractures

BackgroundRisk factors for mortality and in-hospital morbidity among geriatric patients with traumatic rib fractures remain unclear. Such patients are often frail and demonstrate a high comorbidity burden. Moreover, outcomes anticipated by current rubrics may reflect the influence of multisystem injury or surgery, and thus not apply to isolated injuries in geriatric patients. We hypothesized that the Revised Cardiac Risk Index (RCRI) may assist in risk-stratifying geriatric patients following rib fracture. MethodsAll geriatric patients (age ≥65 years) with a conservatively managed rib fracture owing to an isolated thoracic injury (thorax AIS ≥1), in the 2013-2019 TQIP database were assessed including demographics and outcomes. The association between the RCRI and in-hospital morbidity as well as mortality was analyzed using Poisson regression models while adjusting for potential confounders. Results96,750 geriatric patients sustained rib fractures. Compared to those with RCRI 0, patients with an RCRI score of 1 had a 16% increased risk of in-hospital mortality [adjusted incidence rate ratio (adj-IRR), 95% confidence interval (CI): 1.16 (1.02-1.32), p=0.020]. An RCRI score of 2 [adj-IRR (95% CI): 1.72 (1.44-2.06), p<0.001] or ≥3 [adj-IRR (95% CI): 3.07 (2.31-4.09), p<0.001] was associated with an even greater mortality risk. Those with an increased RCRI also exhibited a higher incidence of myocardial infarction, cardiac arrest, stroke, and acute respiratory distress syndrome. ConclusionsGeriatric patients with rib fractures and an RCRI ≥1 represent a vulnerable and high-risk group. This index may inform the decision to admit for inpatient care and can also guide patient and family counseling as well as computer-based decision-support.

Abstract 10982: A Novel Index of Coronary Artery Calcium Derived From Preoperative Non-Gated Chest Computed Tomography Correlates With Traditional Estimates of Perioperative Risk

Introduction: Cardiovascular events are feared complications of non-cardiac surgery. Prior studies demonstrate associations between coronary artery calcium (CAC) from ECG-gated computed tomography (CT) imaging and perioperative major adverse cardiac events. We sought to evaluate correlations between an index of CAC severity from preoperative non-gated CT imaging and traditional estimates of perioperative risk. Methods We identified consecutive adults age ≥45 years who underwent in-hospital, major non-cardiac surgery across a large urban health system between 2016 and 2020 and had non-gated (contrast or non-contrast) chest CT imaging performed within 1 year prior to surgery. Patients with prior coronary revascularization or heart valve surgery were excluded. CAC severity in each coronary artery was assessed and graded from absent to severe using a 0-3 scale by physicians blinded to clinical data. An index of CAC was computed as the sum of the scores for each coronary artery. The Revised Cardiac Risk Index (RCRI) was determined for each patient. Correlations between the CAC index and RCRI were assessed using Spearman Correlation Coefficient (𝜌;). Results A total of 2,560 patients met inclusion criteria - mean age 68.1 ± 12.3 years, 49.8% female, 60% white (Figure 1A). The median pre-operative RCRI score was 1 [IQR 0-1, range 0-6] (Figure 1B). A majority of patients (64.3%) had non-contrast chest CT imaging. The median CAC index was 1 [IQR 0-3, range 0-9] (Figure 1C). A correlation between the CAC index and RCRI (Coefficient (𝜌;): 0.209, p&lt;0.001) was observed, with stepwise increases in the CAC index when stratified by pre-operative RCRI (Figure 1D). Conclusions A pragmatic, novel index of CAC derived from existing non-gated chest CT imaging correlates with pre-operative RCRI. As the RCRI is a validated preoperative risk stratification tool, this finding demonstrates the potential to leverage pre-existing, non-gated CT imaging to inform preoperative risk assessment.

CARDIAC RISK ASSESSMENT USING RCRI IN SURGICAL PATIENTS

Background and aims: Preanesthetic assessment is an inseparable part of every anesthesiologist practice. There are some tools and tests to anticipate the possible risks and prepare an appropriate anesthesia plan and latest guidelines encourage using them by system. The aim of this study was to investigate preanesthetic evaluation of cardiac risk possibilities based on the patient’s labo­ratory and instrumental tests available on a day of hos­pitalization and applying Revised Cardiac Risk Index. Materials and Methods: Research was conducted from June 2021 to September 2021 and data was collected from the depersonalized medical documentation of 117 patients, for whom elective surgery was planned in the Hospital of Lithuanian University of Health Sciences Kaunas Clinics (LUHS), Department of Surgery. The gathered data include sex, age, comorbidities, opera­tion type, ASA score, revised cardiac risk index (RCRI) and both laboratory and instrumental tests. These tests involve general and biochemical blood tests, coagu­lation panels, electrocardiograms (ECG) and others. Results: The study involved 117 patients: 27.4% men and 72.6% women. The analysis of available preopera­tive laboratory and instrumental tests showed that only 67 patients (57%) had their ECG on a day when opera­tion was scheduled, 64% of them had general and 62% had biochemical blood tests. The most important fin­ding in our research was that 72% of patients who were at increased cardiac risk according to RCRI (2 or more points) had ECG when they came for surgical treatment. Conclusion: Majority of the patients with a higher car­diac risk according to RCRI score present ECG for their preanesthetic evaluation. No significant associations were found between patients ASA, RCRI scores, and preope­rative tests.

Association of Intraoperative and Perioperative Transfusions with Postoperative Cardiovascular Events and Mortality After Infrainguinal Revascularization

Patients undergoing open or endovascular infrainguinal revascularization are at an elevated risk for postoperative cardiovascular complications due to high rates of comorbidities and the physiologic stress of surgery. Transfusions are known to be associated with adverse events but knowledge of specific risks associated with transfusion timing, product type, and long-term outcomes while accounting for preoperative cardiovascular risk factors is not well understood in this population. This study aimed to characterize the association of intraoperative and perioperative transfusion, anemia, and cardiovascular risk factors with cardiovascular events and mortality in patients undergoing infrainguinal revascularization. A single-center retrospective study was performed on 564 infrainguinal revascularization procedures, including both open (n=250) and endovascular (n=314) approaches (2016-2020). Comprehensive clinical data were collected including patient demographics, cardiovascular risk factors, preoperative hemoglobin, and detailed transfusion data. Multivariable logistic regression tested the association of transfusions with composite 30-day outcomes of cardiac complications (postoperative myocardial infarction [postop-MI], congestive heart failure, or dysrhythmia) and with major adverse cardiovascular events (MACE-postop-MI or death). Kaplan-Meier analysis and Cox proportional hazard modeling examined the association of transfusions, anemia, and cardiovascular risk factors with mortality up to 1year. Intraoperative transfusion was performed in 15% of cases and 13% underwent transfusion in the early postoperative period. Intraoperative transfusion was associated with higher Revised Cardiac Risk Index (RCRI), lower preoperative hemoglobin, increased blood loss, and open procedures (all P<0.05). Within each RCRI score, intraoperative transfusion was associated with 2-4-fold increased MACE at 30days. Intraoperative packed red blood cells transfusion and early postoperative packed red blood cells transfusion was associated with more than 2-fold adjusted odds of any cardiovascular complication and intraoperative transfusion was also associated with MACE (all P<0.05). Intraoperative transfusion was associated with mortality at 1year on unadjusted analysis, but after adjustment for RCRI, age, and preoperative hemoglobin, only RCRI scores of 2 and 3+ and preoperatively hemoglobin remained significant risk factors for mortality. Intraoperative and early perioperative transfusions are strongly associated with worse cardiovascular outcomes after infrainguinal revascularization. These findings may have a prognostic value for further risk stratifying patients perioperatively at a high risk for complications. However, prospective studies are needed to elucidate whether optimizing transfusion strategies mitigates these risks.

Cardiac Complications After 3-Column Osteotomy for Adult Spinal Deformity Patients With Formal Cardiac Clearance: Identifying Key Risk Factors and Threshold Cutoffs Via Recursive Partitioning Analysis.

Despite formal cardiac clearance, a subset of 3-column osteotomy (3CO) patients still experience cardiac complications (CCs). To define the incidence and risk factors for CC in 3CO patients who had formal cardiac clearance and assess the utility of the Revised Cardiac Risk Index (RCRI) and preoperative metabolic equivalent (MET) functional ability in predicting perioperative CC. Patients with adult spinal deformity (ASD) who underwent 3CO deformity correction from 2006 to 2019 were retrospectively reviewed. Multivariate and recursive partitioning analyses were performed to assess risk factors. A total of 390 patients with ASD were included. The mean age was 64.6 years, and 60.3% were female. The CC rate was 9.7%. Patients with CCs were older ( P &lt; .001), had an increased history of heart disease ( P = .001), and higher blood loss ( P = .045). RCRI score ( P = .646) or MET functional ability ( P = .493) were not associated with CC. On multivariate analysis, age ( P &lt; .001), blood loss ( P = .008), and prior spinal fusion ( P = .025) were independent risk factors for CC. Patients age older than 81 years had a significantly higher CC rate than those younger than 81 years. In patients age 81 years and younger, if blood loss was &gt;3900 mL, CC rate was significantly higher. Among patients age 81 years and younger and with &gt;3900 mL blood loss, CC rate is significantly higher in patients with ejection fraction (EF) ≤54.5%. RCRI and MET functional ability are limited risk assessment tools in ASD 3CO patients with formal cardiac clearance. Patients older than 81 years are at high risk for CC. In younger patients, cardiac EF and blood loss are significant components to risk stratify for CC.

Peri-operative Takotsubo syndrome after non-cardiac surgery: a retrospective nested case-control study.

Takotsubo syndrome (TTS) is an acute reversible cardiac dysfunction that may occur during the peri-operative period and among patients with serious illness. We aimed to evaluate the clinical characteristics, peri-operative management, and prognosis of peri-operative TTS (pTTS) and explore the factors associated with pTTS. We conducted a retrospective nested case-control study using the database of patients who underwent in-hospital non-cardiac surgeries between January 2017 and December 2020 in Peking University Third hospital. Cases were adult patients diagnosed TTS at discharge who were matched with four controls based on operative types. Multivariable conditional logistic regression was used to identified the factors associated with pTTS. The area under the curve (AUC) was used to evaluate the diagnostic efficacy. Among the 128 536 patients underwent non-cardiac surgery, 20 patients with pTTS and 80 patients without were enrolled in this study. The incidence of pTTS was about 0.016% in our centre. The median age of patients with pTTS was 52.5 (38.25, 76.25) years, although 90% of them were female. Fifty per cent (9 cases) of female patients were pre-menopausal. Caesarean section has the highest proportion of pTTS (30% of the pTTS cases) with the incidence of caesarean section-related pTTS of 0.06% in our centre. A high prevalence of non-apical ballooning pattern of regional wall motion abnormality (seven cases, 35%) and a high mortality (two cases, 10%) were observed. Left ventricular ejection fraction (LVEF) of patients with pTTS was significantly decreased (41.7±8.8%). In the acute phase, supportive treatments aiming to reduce life-threatening complications were main treatment strategies. After receiving systematic treatment, significant improvements were observed in LVEF (63.1±13.5%), with median recovery time of LVEF of 7.48days. Leucocyte count [odds ratio (OR): 4.59; 95% confidence interval (CI): 1.10-19.15], haemoglobin (HGB) (OR: 10.52; 95% CI: 1.04-106.36), and the revised cardiac risk index (RCRI) score (OR: 6.30; 95% CI: 1.05-37.88) were the factors significantly associated with pTTS. The RCRI score performed poorly in the prediction of pTTS (AUC: 0.630; 95% CI: 0.525-0.735). After adding leucocyte count and HGB into the RCRI score, the AUC was significantly improved (AUC: 0.768; 95% CI: 0.671-0.865; P=0.001). Patients with pTTS have some differences compared with common TTS, including higher proportion of pre-menopausal female, higher prevalence during caesarean section, higher prevalence of non-apical ballooning pattern of regional wall motion abnormality, and higher mortality. The RCRI score performed poorly in the evaluation of pTTS. Adding HGB and leucocyte count into the RCRI score could significantly improve its predictive performance.

Myocardial perfusion imaging failed to improve patient risk classification compared with the revised cardiac risk index for early cardiac complications after major non-cardiac surgery.

Myocardial perfusion imaging (MPI) is frequently used for cardiac risk assessment before major non-cardiac surgery, but its ability to improve patient risk classification beyond simple clinical assessment is unknown. To explore the prognostic utility of MPI above a simple clinical risk calculator, the revised cardiac risk index (RCRI). A retrospective cohort study of at-risk patients who underwent MPI before major non-cardiac surgery in a tertiary hospital was conducted. Major adverse cardiac events (MACE) was defined as any myocardial infarction, acute pulmonary oedema, ventricular arrhythmia or cardiac death within 30 days of surgery. We analysed the predictive value of MPI for MACE using multivariable logistic regression and categorical net reclassification index. MACE occurred in 47 (7.4%) cases from 635 surgical procedures in 629 patients. MPI-identified medium or large-sized reversible perfusion defects (P = 0.02; odds ratio 2.9; 95% confidence interval 1.1-7.1) and RCRI score two or more (P = 0.03; odds ratio 2.3; 95% confidence interval 1.1-4.8) were significantly associated with MACE after adjusting for age, coronary revascularisation, surgical priority, need for general anaesthesia, left ventricular ejection fraction (LVEF) and fixed perfusion defects. MPI risk factors (LVEF, reversible perfusion and fixed perfusion defects) did not improve risk classification above baseline risk factors (age, RCRI and surgical priority). MPI risk factors are weak predictors for early cardiac complications after major non-cardiac surgery and failed to improve patient risk classification beyond essential assessment using age, RCRI and surgical priority. Clinicians should consider alternative risk assessment strategies because of MPI's poor prognostic utility and its associated time and financial costs.

Preoperative Atrial Fibrillation and Cardiovascular Outcomes After Noncardiac Surgery

BackgroundThe impact of pre-existing atrial fibrillation (AF) on outcomes after noncardiac surgery is not clear. ObjectivesWe aimed to study the impact of AF on the risk of adverse outcomes after noncardiac surgery in a nationwide cohort. MethodsWe identified Medicare beneficiaries admitted for noncardiac surgery from 2015 to 2019 and divided the study cohort into 2 groups: with and without AF. Noncardiac surgery was classified into vascular, thoracic, general, genitourinary, gynecological, orthopedics and neurosurgery, breast, head and neck, and transplant. We used propensity score matching on exact age, sex, race, urgency and type of surgery, revised cardiac risk index (RCRI) and CHA2DS2-VASc score, and tight caliper on other comorbidities. The study outcomes were 30-day mortality, stroke, myocardial infarction, and heart failure. We examined the incremental utility of AF in addition to RCRI to predict adverse events after noncardiac surgery. ResultsThe study cohort included 8,635,758 patients who underwent noncardiac surgery (16.4% with AF). Patients with AF were older, more likely to be men, and had higher prevalence of comorbidities. After propensity score matching, AF was associated with higher risk of mortality (OR: 1.31; 95% CI: 1.30-1.32), heart failure (OR: 1.31; 95% CI: 1.30-1.33), and stroke (OR: 1.40; 95% CI: 1.37-1.43) and lower risk of myocardial infarction (OR: 0.81; 95% CI: 0.79-0.82). Results were consistent in subgroup analysis by sex, race, type of surgery, and all strata of RCRI and CHA2DS2-VASc score. AF improved the discriminative ability of RCRI (C-statistic 0.73 to 0.76). ConclusionPre-existing AF is independently associated with postoperative adverse outcomes after NCS.

A Nomogram for Predicting In-Hospital Major Adverse Cardio- and Cerebro-Vascular Events in Patients Undergoing Major Noncardiac Surgery: A Large-Scale Nested Case-Control Study.

PurposeFew evidence-based predictive tools are available to evaluate major adverse cardio- and cerebro-vascular events (MACCEs) before major noncardiac surgery. We sought to develop a new simple but effective tool for estimating surgical risk.Patients and MethodsUsing a nested case-control study design, we recruited 105 patients who experienced MACCEs and 481 patients without MACCEs during hospitalization from 10,507 patients undergoing major noncardiac surgery in Beijing Chaoyang hospital. Least absolute shrinkage and selection operator (LASSO) regression and likelihood ratio were applied to screen 401 potential features for logistic regression. A nomogram was constructed using the selected variables.ResultsChronic heart failure, valvular heart disease, preoperative serum creatinine >2.0 mg/dL, ASA class, neutrophil count and age were most associated with in-hospital MACCEs among all the factors. A new prediction model established based on these showed a good discriminatory ability (AUC, 0.758 [95% confidence interval (CI), 0.708–0.808] and a well-performed calibration curve (Hosmer–Lemeshow χ2 = 7.549, p = 0.479), which upheld in the 10-fold cross-validation (AUC, 0.742 [95% CI, 0.718–0.767]. This model also demonstrated an improved performance in comparison to the modified Revised Cardiac Risk Index (RCRI) score (increase in AUC by 0.119 [95% CI, 0.056–0.180]; NRI, 0.445 [95% CI, 0.237–0.653]; IDI, 0.133 [95% CI, 0.087–0.178]. The decision curve analysis showed a positive net benefit of our new model.ConclusionOur nomogram, which relies upon simple clinical characteristics and laboratory tests, is able to predict MACCEs in patients undergoing major noncardiac surgery. This prediction shows better discrimination than the standardized modified RCRI score, laying a promising foundation for further large-scale validation.

Postoperative Major Adverse Cardiac Events in Patients With Systemic Lupus Erythematosus.

ObjectivesPatients with systemic lupus erythematosus (SLE) have a high risk of cardiovascular disease that could potentially increase postoperative major adverse cardiac events (MACE). We determined the rate of MACE in patients with SLE undergoing noncardiac surgery using national claims‐based data.MethodsThis was a retrospective cohort study using Optum Clinformatics Data Mart from 2007 to 2020. We identified a cohort of patients with SLE who had undergone noncardiac surgeries using Current Procedural Terminology codes. We also identified two control cohorts without SLE, one with diabetes mellitus (DM) and one without DM. After matching cases and controls by age and sex, the odds of MACE were estimated using multivariable logistic regression models also including race and the Revised Cardiac Risk Index (RCRI) scores. We also examined use of preoperative cardiac testing.ResultsWe identified 4750 patients with SLE, 496,381 DM controls, and 1,484,986 non‐DM controls. After matching, the odds ratio (OR) for MACE in patients with SLE versus non‐DM controls was 1.51 (95% confidence interval 1.09‐2.08), which decreased after adjustment for RCRI score (OR: 0.97, 95% confidence interval 0.7‐1.36). No significant differences were observed in the incidence of MACE between patients with SLE and DM controls (0.82 vs 1.04, P = 0.16). High‐risk patients with SLE (RCRI score of ≥3) were less likely to receive preoperative cardiac testing than non‐DM controls (42.7% vs 35.1%, P < 0.05).ConclusionPatients with SLE have an increased risk of postoperative MACE, which is driven by increased RCRI scores. Concerningly, high‐risk patients received less cardiac testing 2 months before surgery than non‐DM controls.

Myocardial Perfusion Imaging Failed to Improve Patient Risk Classification Compared to the Revised Cardiac Risk Index for Early Cardiac Complications After Major Non-Cardiac Surgery

Cardiac evaluation is desirable before major non-cardiac surgery with myocardial perfusion imaging (MPI) frequently utilised for risk assessment. However, the prognostic utility of MPI above a simple clinical risk calculator, the Revised Cardiac Risk Index (RCRI), is unknown. We conducted a retrospective cohort study of patients who underwent MPI before major non-cardiac surgery, incorporating 635 surgical procedures in 629 patients over six years. Major adverse cardiac events (MACE) within 30 days of surgery, including any myocardial infarction, acute pulmonary oedema, ventricular arrhythmia, or cardiac death, occurred in 47 (7.4%) cases. We analysed predictive value of MPI for MACE using multivariable logistic regression and categorical net reclassification index. MPI-identified medium or large-sized reversible perfusion defects (p=0.02, odds ratio 2.9 [95% CI 1.1-7.1]) and RCRI score two or more (p=0.03, odds ratio 2.3 [(95% CI 1.1-4.8]) were significantly associated with MACE after adjusting for age, coronary revascularisation, surgical acuity, need for general anaesthesia, left ventricular ejection fraction (LVEF) and fixed perfusion defects. Net reclassification index comparing models with and without MPI risk factors (LVEF, reversible perfusion and fixed perfusion defects) did not significantly improve risk classification. MPI risk factors are weak predictors for early cardiac complications after major non-cardiac surgery and failed to improve patient risk classification beyond a simple risk assessment using age, RCRI and surgical priority. Clinicians should consider alternative risk assessment strategies because of MPI's poor prognostic utility and its associated time and financial costs.

Role of handgrip strength testing in pre-anaesthetic check-up: A prospective cross-sectional study.

Frailty has been known to be associated with postoperative adverse events and longer hospital length of stay (LOS). Hand grip strength (HGS) is one of the parameters of measuring frailty. The aim of the study was to correlate preoperative handgrip strength and 30-day outcome of patients undergoing major abdominal surgery. It also aimed to evaluate the role of the standard preoperative variables like metabolic equivalents, revised cardiac risk index (RCRI), serum albumin, and serum creatinine along with their association with HGS testing in determining the postoperative outcome in surgical patients. This prospective observational study included 149 American Society of Anesthesiologists class III/IV patients presenting for major abdominal surgery. A mean of three measurements of dominant HGS using Camry hand dynamometer was measured. The patients were divided into groups: weak, normal, and strong depending on grip strength. Patients were followed for 30 days and postoperative outcome in terms of ventilatory support, admission to intensive care unit, cardiac complications, in-hospital mortality, and LOS were recorded. Observational data obtained were reported as mean value and analyzed using Student's t-test or Wilcoxon/Mann-Whitney Rank test. Associations between RCRI, serum albumin, and LOS with HGS were evaluated using logistic regression. The hospital LOS was significantly longer in patients with weak HGS (15.11 ± 11.03 days versus 10 ± 5.71 days, P = 0.001). Patients with weak HGS had significantly lower mean serum albumin levels compared to normal HGS (P = 0.0001) and a statistically significant RCRI score (P = 0.013). HGS can be used as a preoperative test in predicting hospital LOS after major surgery.

Abstract 9608: Overuse of Cardiac Evaluation and Testing in Patients at Low Cardiac Risk Prior to Laparoscopic Bariatric Surgery

Introduction: Preoperative cardiac testing is common prior to bariatric surgery despite the low incidence of postoperative cardiac events. We sought to determine what proportion of patients who underwent preoperative cardiac testing and evaluation prior to laparoscopic bariatric surgery were at low cardiac risk. Methods: We reviewed preoperative cardiac testing and evaluations performed for patients undergoing laparoscopic bariatric surgery at Hershey Medical Center from January 1 st 2015 through December 31 st 2019. Cardiac risk was evaluated using the Revised Cardiac Risk Index (RCRI) and the National Surgical Quality Improvement Program Myocardial Infarction and Cardiac Arrest risk calculator (NSQIP MICA). Patients with a RCRI score ≤1, or a NSQIP MICA cardiac risk estimate less than 1%, were considered to be at low cardiac risk. Results: 1,134 patients underwent laparoscopic bariatric surgery during the study time period, of which 1,093 (96.4%) were low cardiac risk by RCRI and 1,133 (99.9%) were low cardiac risk by NSQIP MICA. 587 patients (51.8%) were referred to cardiology for preoperative evaluation. 643 patients (56.7%) underwent one or more preoperative cardiac tests (see figure for breakdown of cardiac risk for each cardiac evaluation). Out of 1,134 patients, 1 (0.1%) had myocardial infarction within 30 days of surgery. There were 0 patients with either cardiac arrest or death within 30 days of surgery. Conclusions: A large majority of patients undergoing cardiac evaluation and testing prior to laparoscopic bariatric surgery were at low cardiac risk, regardless of whether cardiac risk was assessed by the RCRI or by the NSQIP MICA. Preoperative cardiac testing and evaluation were common despite excellent cardiac outcomes. Use of tools such as the RCRI or NSQIP MICA to identify patients at low cardiac risk at the time of bariatric enrollment may help to reduce the overuse of preoperative cardiac evaluation and testing in low risk patients.

The interaction between pre-admission β-blocker therapy, the Revised Cardiac Risk Index, and mortality in geriatric hip fracture patients.

BACKGROUNDAn association between β-blocker (BB) therapy and a reduced risk of major cardiac events and mortality in patients undergoing surgery for hip fractures has previously been demonstrated. Furthermore, a relationship between an increased Revised Cardiac Risk Index (RCRI) score and a higher risk of postoperative mortality has also been detected. The purpose of the current study was to investigate the interaction between BB therapy and RCRI in relation to 30-day postoperative mortality in geriatric patients after hip fracture surgery.METHODSAll patients older than 65 years who underwent primary emergency hip fracture surgery in Sweden between January 1, 2008, and December 31, 2017, except for pathological fractures, were included in this retrospective cohort study. Patients were divided into cohorts based on their RCRI score (RCRI 1, 2, 3, and ≥4) and whether they had ongoing BB therapy at the time of admission. A Poisson regression model with robust standard errors of variance was used, while adjusting for confounders, to evaluate the association between BB therapy, RCRI, and 30-day mortality.RESULTSA total of 126,934 cases met the study inclusion criteria. β-Blocker therapy was associated with a 65% decrease in the risk of 30-day postoperative mortality in the whole study population (adjusted incidence rate ratio [95% confidence interval], 0.35 [0.32–0.38]; p < 0.001). The use of BB also resulted in a significant reduction in 30-day postoperative mortality within all RCRI cohorts. However, the most pronounced effect of BB therapy was seen in patients with an RCRI score greater than 0.CONCLUSIONβ-Blocker therapy is associated with a reduction in 30-day postoperative mortality, irrespective of RCRI score. Furthermore, patients with an elevated cardiac risk appear to have a greater benefit of BB therapy.LEVEL OF EVIDENCETherapeutic/care management, level II