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

BACKGROUND: Chronic 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. METHODS: Preoperative 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. RESULTS: AUB-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). CONCLUSIONS: The 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 REGISTRATION: German Clinical Trials Register: DRKS00027871.

What's New in Preoperative Cardiac Testing.

More than 300 million surgeries are performed annually worldwide. Patients are progressively aging and often have multiple comorbidities that put them at increased cardiovascular risk in the perioperative period. The United States published latest guidelines regarding preoperative cardiac evaluation and risk stratification for patients undergoing non-cardiac surgery in 2014. There are multiple risk stratification tools available that can help guide management. Furthermore, newer laboratory tests, such as preoperative NT-proBNP and high-sensitivity troponin assays, may aid in preventing and diagnosing perioperative myocardial injury.

Cardiac risk stratification and adverse outcomes in surgically managed patients with isolated traumatic spine injuries.

INTRODUCTION: As the incidence of traumatic spine injuries has been steadily increasing, especially in the elderly, the ability to categorize patients based on their underlying risk for the adverse outcomes could be of great value in clinical decision making. This study aimed to investigate the association between the Revised Cardiac Risk Index (RCRI) and adverse outcomes in patients who have undergone surgery for traumatic spine injuries. METHODS: All adult patients (18 years or older) in the 2013-2019 TQIP database with isolated spine injuries resulting from blunt force trauma, who underwent spinal surgery, were eligible for inclusion in the study. The association between the RCRI and in-hospital mortality, cardiopulmonary complications, and failure-to-rescue (FTR) was determined using Poisson regression models with robust standard errors to adjust for potential confounding. RESULTS: A total of 39,391 patients were included for further analysis. In the regression model, an RCRI ≥ 3 was associated with a threefold risk of in-hospital mortality [adjusted IRR (95% CI): 3.19 (2.30-4.43), p < 0.001] and cardiopulmonary complications [adjusted IRR (95% CI): 3.27 (2.46-4.34), p < 0.001], as well as a fourfold risk of FTR [adjusted IRR (95% CI): 4.27 (2.59-7.02), p < 0.001], compared to RCRI 0. The risk of all adverse outcomes increased stepwise along with each RCRI score. CONCLUSION: The RCRI may be a useful tool for identifying patients with traumatic spine injuries who are at an increased risk of in-hospital mortality, cardiopulmonary complications, and failure-to-rescue after surgery.

Enhancing predictive accuracy of the cardiac risk score in open abdominal aortic surgery: the role of left ventricular wall motion abnormalities.

Background: Open abdominal aortic surgery carries many potential complications, with cardiac adverse events being the most significant concern. The Vascular Study Group Cardiac Risk Index (VSG-CRI) is a commonly used tool for predicting severe cardiac complications and guiding clinical decision-making. However, despite the potential prognostic significance of left ventricular wall motion abnormalities (LVWMAs) and reduced LV ejection fraction (LVEF) for adverse outcomes, the VSG-CRI model has not accounted for them. Hence, the main objective of this study was to analyze the added value of LV wall motion on the discriminatory power of the modified VSG-CRI in predicting major postoperative cardiac complications. Methods: A prospective study was conducted involving 271 patients who underwent elective abdominal aortic surgery between 2019 and 2021. VSG-CRI scores were calculated, and preoperative transthoracic echocardiography was conducted for all patients. Subsequently, a modified version of the VSG-CRI, accounting for reduced LVEF and LVWMAs, was developed and incorporated into the dataset. The postoperative incidence of the composite endpoint of major adverse cardiac events (MACEs), including myocardial infarction, clinically relevant arrhythmias treated with medicaments or by cardioversion, or congestive heart failure, was assessed at discharge from the index hospitalization, with adjudicators blinded to events. The predictive accuracy of both the original and modified VSG-CRI was assessed using C-Statistics. Results: In total, 61 patients (22.5%) experienced MACEs. Among these patients, a significantly higher proportion had preoperative LVWMAs compared to those without (62.3% vs. 32.9%, p < 0.001). Multivariable regression analysis revealed the VSG-CRI [odds ratio (OR) 1.46, 95% confidence interval (CI) 1.21-1.77; p < 0.001] and LVWMA (OR 2.76; 95% CI 1.46-5.23; p = 0.002) as independent predictors of MACEs. Additionally, the modified VSG-CRI model demonstrated superior predictability compared to the baseline VSG-CRI model, suggesting an improved predictive performance for anticipating MACEs following abdominal aortic surgery [area under the curve (AUC) 0.74; 95% CI 0.68-0.81 vs. AUC 0.70; 95% CI 0.63-0.77; respectively]. Conclusion: The findings of this study suggest that incorporating preoperative echocardiography can enhance the predictive accuracy of the VSG-CRI for predicting MACEs after open abdominal aortic surgery. Before its implementation in clinical settings, external validation is necessary to confirm the generalizability of this newly developed predictive model across different populations.

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

Background: 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. Study design: 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). Results: 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). Conclusion: 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.

BACKGROUND: Risk 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. METHODS: All 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. RESULTS: 96,750 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. CONCLUSIONS: Geriatric 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.

Preoperative evaluation and perioperative management of patients undergoing major vascular surgery.

Patients undergoing major vascular surgery have an increased risk of perioperative major adverse cardiovascular events (MACE). Accordingly, in this population, it is of particular importance to appropriately risk stratify patients' risk for these complications and optimize risk factors prior to surgical intervention. Comorbidities that portend a higher risk of perioperative MACE include coronary artery disease, heart failure, left-sided valvular heart disease, and significant arrhythmic burden. In this review, we provide a current approach to risk stratification prior to major vascular surgery and describe the strengths and weaknesses of different cardiac risk indices; discuss the role of noninvasive and invasive cardiac testing; and review perioperative pharmacotherapies.

COVID-19 in the perioperative setting: A review of the literature and the clinical landscape.

The COVID-19 pandemic has dramatically affected societies and healthcare systems around the globe. The perioperative care continuum has also been under significant strain due to the pandemic-tasked with simultaneously addressing surgical strains and backlogs, infection prevention strategies, and emerging data regarding significantly higher perioperative risk for COVID-19 patients and survivors. Many uncertainties persist regarding the perioperative risk, assessment, and management of COVID-19 survivors-and the energy to catch up on surgical backlogs must be tempered with strategies to continue to mitigate COVID-19 related perioperative risk. Here, we review the available data for COVID-19-related perioperative risk, discuss areas of persistent uncertainty, and empower the perioperative teams to pursue evidence-based strategies for high quality, patient-centered, team-based care as we enter the third year of the COVID-19 pandemic.

Cardiac Comorbidity Risk Score: Zero-Burden Machine Learning to Improve Prediction of Postoperative Major Adverse Cardiac Events in Hip and Knee Arthroplasty.

Background In this retrospective, observational study we introduce the Cardiac Comorbidity Risk Score, predicting perioperative major adverse cardiac events (MACE) after elective hip and knee arthroplasty. MACE is a rare but important driver of mortality, and existing tools, eg, the Revised Cardiac Risk Index demonstrate only modest accuracy. We demonstrate an artificial intelligence-based approach to identify patients at high risk of MACE within 4 weeks (primary outcome) of arthroplasty, that imposes zero additional burden of cost/resources. Methods and Results Cardiac Comorbidity Risk Score calculation uses novel machine learning to estimate MACE risk from patient electronic health records, without requiring blood work or access to any demographic data beyond that of sex and age, and accounts for variable/missing/incomplete information across patient records. Validated on a deidentified cohort (age >45 years, n=445 391), performance was evaluated using the area under the receiver operator characteristics curve (AUROC), sensitivity/specificity, positive predictive value, and positive/negative likelihood ratios. In our cohort (age 63.5±10.5 years, 58.2% women, 34.2%/65.8% hip/knee procedures), 0.19% (882) experienced the primary outcome. Cardiac Comorbidity Risk Score achieved area under the receiver operator characteristics curve=80.0±0.4% (95% CI) for women and 80.1±0.5% (95% CI) for males, with 36.4% and 35.1% sensitivities, respectively, at 95% specificity, significantly outperforming Revised Cardiac Risk Index across all studied age-, sex-, risk-, and comorbidity-based subgroups. Conclusions Cardiac Comorbidity Risk Score, a novel artificial intelligence-based screening tool using known and unknown comorbidity patterns, outperforms state-of-the-art in predicting MACE within 4 weeks postarthroplasty, and can identify patients at high risk that do not demonstrate traditional risk factors.

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

AIMS: 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. METHODS: 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. RESULTS: 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 7.48 days. 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). CONCLUSIONS: 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.

Prophylactic effect of Trigonella foenum-graecum L. seed extract on inflammatory markers and histopathological changes in high-fat-fed ovariectomized rats.

Background and aim: Trigonella foenum-graecum L. seeds (TFG) are used as spices in Indian cuisine. In Indian traditional medicine, TFG is used to treat diabetes, dyslipidemia, obesity, arthritis, cancer, digestive disorders, and postmenopausal conditions. Pathophysiology of postmenopausal diseases involves low-grade systemic inflammation. The purpose of this study is to investigate the prophylactic effect of petroleum ether fraction of TFG-extract (PE-TFG) on inflammatory markers, and histopathological changes in ovariectomized rats (OVX-rats) fed with a high-fat diet (HFD). Experimental procedure: OVX female Sprague Dawley rats were used for the study. Three weeks after ovariectomy, rats were randomized in different groups and administered PE-TFG, atorvastatin, diosgenin, 17ß-estradiol for 12 weeks along with HFD. The sham-operated rats (S.OVX) were fed with a standard pellet diet. At the end of 12-weeks, rats were sacrificed, and blood samples were used to estimate lipid profile, glucose, hepatic markers, TNF-α, and leptin. Liver, kidney, and common carotid artery were isolated for testing oxidative stress markers, mRNA expression of adiponectin, PPAR-γ, and histopathological changes. Results: Administration of PE-TFG significantly decreased (P < 0.05) total cholesterol, LDL, hepatic markers, leptin, TNF-α and improved mRNA expression of adiponectin and PPAR-γ in HFD-fed OVX-rats. Further, micro and macro hepatic steatosis, inflammation, glomerular hypertrophy, degenerated tubules in kidney, increased tunica intima, and media thickness of common carotid artery and the pathological changes were not significant upon PE-TFG administration compared to S.OVX-rats. Conclusion: PE-TFG protects cellular inflammation and metabolic alternations in HFD-fed OVX-rats and thus can be explored further in postmenopausal diseases as a prophylactic agent.

The association between the Revised Cardiac Risk Index and short-term mortality after hip fracture surgery.

PURPOSE: The post-operative mortality after hip fracture surgery is high and has remained largely unchanged during the last decades. The Revised Cardiac Risk Index (RCRI) is a tool used to evaluate the 30-day risk of, among other outcomes, post-operative mortality. The aim of this study is to determine the association between the RCRI score and post-operative mortality in patients undergoing hip fracture surgery. METHODS: Data was obtained from the national hip fracture register which was cross-referenced with patients' electronic hospital records. All adults who underwent primary emergency hip fracture surgery in Orebro County, Sweden, between January 1, 2013 and December 31, 2017, were included. Patients were divided into two cohorts: low RCRI (score = 0-1) and high RCRI (score ≥ 2). A Poisson regression model was employed to investigate the association between a high RCRI score and 30- and 90-day post-operative mortality. RESULTS: A total of 2443 patients, of whom 446 (18%) had a high RCRI score, were included in the current study. When adjusting for age, sex, comorbidities and type of surgery, the incidence of 30-day mortality increased by 46% in the high RCRI cohort (adj. IRR 1.46, 95% CI, 1.10-1.94, p = 0.010). Similar results were observed for 90-day mortality (adj. IRR 1.50, 95% CI, 1.21-1.84, p < 0.001). CONCLUSION: The RCRI is applicable to patients that undergo surgery for traumatic hip fractures. A high RCRI score is associated with an increased incidence of both 30- and 90-day post-operative mortality. Future studies to evaluate these findings are needed.

The Association Between Revised Cardiac Risk Index and Postoperative Mortality Following Elective Colon Cancer Surgery: A Retrospective Nationwide Cohort Study.

INTRODUCTION: Despite improvements in the perioperative care during the last decades for oncologic colon resection, there is still a substantial risk for postoperative complications and mortality. Opportunities exist for improvement in preoperative risk stratification in this patient population. We hypothesize that the Revised Cardiac Risk Index, a user-friendly tool, could better identify patients with high postoperative mortality risks. METHODS: A retrospective analysis of operated patients between the years 2007 and 2017 was undertaken, using the prospectively recorded Swedish Colorectal Cancer Registry, which has a 99.5% national coverage for all cases of colon cancer. Patients were cross-referenced with the Swedish National Board of Health and Welfare dataset, a government registry of mortality and comorbidity data. Revised Cardiac Risk Index (RCRI) scores were calculated for each patient and stratified into four groups (RCRI 1, 2, 3, ⩾ 4). A Poisson regression model with robust standard errors of variance was employed to correlate the 90-day postoperative survival with each level of the Revised Cardiac Risk Index. RESULTS: A total of 24,198 patients met the study inclusion criteria. 90-day postoperative mortality increased from 2.4% in patients with RCRI 1 to 10.1% in patients with RCRI ⩾ 4 (p < 0.001). Adjusted 90-day postoperative mortality increased linearly with an increasing RCRI, where an RCRI of 2, 3, and ≥ 4 respectively led to a 46%, 80%, and 167% increased risk of mortality compared to RCRI 1 (p < 0.001). CONCLUSIONS: A strong association between an increasing Revised Cardiac Risk Index score and increased 90-day postoperative mortality risk was detected. The Revised Cardiac Risk Index may facilitate risk stratification of patients undergoing elective colon cancer surgery.

Mortality risk stratification in isolated severe traumatic brain injury using the revised cardiac risk index.

PURPOSE: Traumatic brain injury (TBI) continues to be a significant cause of mortality and morbidity worldwide. As cardiovascular events are among the most common extracranial causes of death after a severe TBI, the Revised Cardiac Risk Index (RCRI) could potentially aid in the risk stratification of this patient population. This investigation aimed to determine the association between the RCRI and in-hospital deaths among isolated severe TBI patients. METHODS: All adult patients registered in the TQIP database between 2013 and 2017 who suffered an isolated severe TBI, defined as a head AIS ≥ 3 with an AIS ≤ 1 in all other body regions, were included. Patients were excluded if they had a head AIS of 6. The association between different RCRI scores (0, 1, 2, 3, ≥ 4) and in-hospital mortality was analyzed using a Poisson regression model with robust standard errors while adjusting for potential confounders, with RCRI 0 as the reference. RESULTS: 259,399 patients met the study's inclusion criteria. RCRI 2 was associated with a 6% increase in mortality risk [adjusted IRR (95% CI) 1.06 (1.01-1.12), p = 0.027], RCRI 3 was associated with a 17% increased risk of mortality [adjusted IRR (95% CI) 1.17 (1.05-1.31), p = 0.004], and RCRI ≥ 4 was associated with a 46% increased risk of in-hospital mortality [adjusted IRR(95% CI) 1.46 (1.11-1.90), p = 0.006], compared to RCRI 0. CONCLUSION: An elevated RCRI ≥ 2 is significantly associated with an increased risk of in-hospital mortality among patients with an isolated severe traumatic brain injury. The simplicity and bedside applicability of the index makes it an attractive choice for risk stratification in this patient population.

Beyond the AHI-pulse wave analysis during sleep for recognition of cardiovascular risk in sleep apnea patients.

Recent evidence supports the use of pulse wave analysis during sleep for assessing functional aspects of the cardiovascular system. The current study compared the influence of pulse wave and sleep study-derived parameters on cardiovascular risk assessment. In a multi-centric study design, 358 sleep apnea patients (age 55 ± 13 years, 64% male, body mass index 30 ± 6 kg m-2 , apnea-hypopnea index 13 [5-26] events per hr) underwent a standard overnight sleep recording. A novel cardiac risk index was computed based on pulse wave signals derived from pulse oximetry, reflecting vascular stiffness, cardiac variability, vascular autonomic tone and nocturnal hypoxia. Cardiovascular risk was determined using the ESC/ESH cardiovascular risk matrix, and categorized to high/low added cardiovascular risk. Comparisons between cardiac risk index and sleep parameters were performed for cardiovascular risk prediction. Apnea-hypopnea index, oxygen desaturation index and cardiac risk index were associated with high cardiovascular risk after adjustment for confounders (p = .002, .001, < .001, respectively). In a nested reference model consisting of age, gender and body mass index, adding cardiac risk index but not apnea-hypopnea index or oxygen desaturation index significantly increased the area under the receiver operating characteristic curve (p = .012, .22 and .16, respectively). In a direct comparison of oxygen desaturation index and cardiac risk index, only the novel risk index had an independent effect on cardiovascular risk prediction (pCRI  < .001, pODI  = .71). These results emphasize the association between nocturnal pulse wave and overall cardiovascular risk determined by an established risk matrix. Thus, pulse wave analysis during sleep provides a powerful approach for cardiovascular risk assessment in addition to conventional sleep study parameters.

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.

[Clinical Utility of Revised Cardiac Risk Index to Predict Perioperative Cardiac Events in Elderly Patients with Coronary Heart Disease Undergoing Non-cardiac Surgery].

Objective To explore the predictive ability of the revised cardiac risk index(RCRI)in elderly patients with coronary heart disease(CHD)undergoing non-cardiac surgery. Methods We performed a retrospective study including a total of 2100 patients,aged≥65 with a history of CHD who underwent non-cardiac surgery form January 2013 to September 2019.The preoperative,intraoperative and postoperative clinical data were extracted from an electronic database.The RCRI and reconstructed-RCRI(R-RCRI)score of each patient were calculated.The primary end point was defined as an occurrence of perioperative MACE.Multivariate logistic regression analysis was performed to evaluate the risk factors of perioperative MACE.The area under the receiver operating characteristic(ROC)curve was used to compare the predictive value of RCRI,R-RCRI,and the new risk scoring system of the study for perioperative MACE. Results The incidence of perioperative MACE in elderly patients with CHD was 5.4%.Six independent risk factors of perioperative MACE for this population were identified:age≥80 years;female;history of heart failure;insulin-depended diabetes mellitus;preoperative ST segment abnormality;American Society of Anesthesiologists grade≥Ⅲ,and the risk index was 2,2,2,2,2 and 3 respectively.The area under ROC curve of RCRI,R-RCRI and risk scoring system in this study were 0.586,0.552 and 0.741. Conclusion The correlation between RCRI score and perioperative MACE was poor in elderly patients with CHD undergoing non-cardiac surgery,and a better cardiac risk assessment method should be established for this population.

Clinical Utility of Revised Cardiac Risk Index to Predict Perioperative Cardiac Events in Elderly Patients with Coronary Heart Disease Undergoing Non-cardiac Surgery / 中国医学科学院学报

Objective To explore the predictive ability of the revised cardiac risk index(RCRI)in elderly patients with coronary heart disease(CHD)undergoing non-cardiac surgery. Methods We performed a retrospective study including a total of 2100 patients,aged≥65 with a history of CHD who underwent non-cardiac surgery form January 2013 to September 2019.The preoperative,intraoperative and postoperative clinical data were extracted from an electronic database.The RCRI and reconstructed-RCRI(R-RCRI)score of each patient were calculated.The primary end point was defined as an occurrence of perioperative MACE.Multivariate logistic regression analysis was performed to evaluate the risk factors of perioperative MACE.The area under the receiver operating characteristic(ROC)curve was used to compare the predictive value of RCRI,R-RCRI,and the new risk scoring system of the study for perioperative MACE. Results The incidence of perioperative MACE in elderly patients with CHD was 5.4%.Six independent risk factors of perioperative MACE for this population were identified:age≥80 years;female;history of heart failure;insulin-depended diabetes mellitus;preoperative ST segment abnormality;American Society of Anesthesiologists grade≥Ⅲ,and the risk index was 2,2,2,2,2 and 3 respectively.The area under ROC curve of RCRI,R-RCRI and risk scoring system in this study were 0.586,0.552 and 0.741. Conclusion The correlation between RCRI score and perioperative MACE was poor in elderly patients with CHD undergoing non-cardiac surgery,and a better cardiac risk assessment method should be established for this population.

Effect of postoperative haemoglobin variation on major cardiopulmonary complications in high cardiac risk patients undergoing anatomical lung resections.

OBJECTIVES: Recent evidence shows that permissive anaemia strategies are safe in different surgical settings. However, effects of variations in haemoglobin (Hb) levels could have a negative impact in high-risk patients. We investigated the combined effect of postoperative Hb concentration and cardiac risk status on major cardiopulmonary complications after anatomical lung resections. METHODS: We retrospectively analysed the records, collected in a prospective clinical database, of 154 consecutive patients undergoing anatomical lung resections at our institution (February 2017-February 2019). Hb levels were displayed as preoperative concentration, nadir Hb level before onset of complications and delta Hb (ΔHb). Cardiac risk was stratified according to the Thoracic Revised Cardiac Risk Index (ThRCRI). Univariable and multivariable logistic regression analyses were used to test the associations between patients, surgical variables and cardiopulmonary complications according to the European Society of Thoracic Surgeons definitions. RESULTS: Cardiopulmonary complications occurred in 63 patients (17%). In the fully adjusted multivariable model, higher values of ΔHb were associated with increased risk of complications [odds ratio (OR) 1.07; P < 0.001], along with higher ThRCRI classes (classes A-B versus C-D: OR 0.09; P < 0.001). Interaction terms with transfusion were not statistically significant, indicating that the harmful effect of ΔHb was independent. According to receiver operating characteristic curve analysis, a ΔHb of 29 g/l was found to be the best cut-off value for predicting complications. CONCLUSIONS: In our series, ΔHb, rather than nadir Hb, was associated with an increased risk of complications, particularly in patients with higher cardiac risk. Restrictive transfusion strategies should be carefully applied in patients undergoing lung resections and balanced according to individual clinical status.

Controversial results of the Revised Cardiac Risk Index in elective open repair of abdominal aortic aneurysms: Retrospective analysis on a continuous series of 899 cases.

BACKGROUND: Low reliability of Revised Cardiac Risk Index (RCRI) in predicting major cardiac events (MACE) among Vascular Surgery patients emerged in recent literature, suggesting procedure-specific risk evaluation - particularly in major surgery. METHODS-RESULTS: Comorbidities, perioperative variables, RCRI and MACE were retrospectively analyzed in a consecutive series of 899 elective open abdominal aortic aneurysm (AAA) repairs performed at our Institution. Possible MACE predictors were studied through univariate/multivariable analysis (logistic regression, MVRE) and stepwise-backward elimination/odds ratio (MVR-SBE/OR). Patients were divided by clampsite in 2 subgroups: 1. infrarenal (690 cases); 2. pararenal (209 cases). RCRI resulted predictive for MACE in the whole dataset but its performance resulted lower for pararenal aneurysms (p = 0.11) than for infrarenal ones (p ≤ 0.00). Among RCRI covariates of the whole cohort, dilated cardiomyopathy (p ≤ 0.001), ischemic cardiopathy (p ≤ 0.01) and cerebrovascular disease (p ≤ 0.02) resulted predictive. Peripheral arteriopathy also related to MACE (p ≤ 0.03). At MVR-SBE/OR analysis, the following resulted to be MACE predictors: dilated cardiomyopathy (p ≤ 0.001), cerebrovascular disease (p ≤ 0.02), and surgical access (p = 0.04) in subgroup 1; previous myocardial infarction (p ≤ 0.01), congestive failure (p ≤ 0.03) and chronic pneumopathy (p = 0.04) in subgroup 2. CONCLUSIONS: Predictability of RCRI in elective AAA surgery is influenced by clampsite and resulted to be lower in aneurysms requiring suprarenal clamping. Variables included in the RCRI show to have different weights when patients are stratified by clampsite. Some variables not included in the RCRI model significantly affect the onset of MACE. RCRI should be revised to elaborate a specific score for AAAs including further MACE predictors, to improve risk assessment and to support proper surgical strategy.