Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery

AIMS

Perioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI.

METHODS AND RESULTS

Among prospectively recruited patients at high cardiovascular risk (age ≥65 years or ≥45 years with preexisting cardiovascular disease), PMI was defined as an absolute increase in high-sensitivity cTnT (hs-cTnT) concentration of ≥14 ng/L (the 99th percentile) above the preoperative concentration. Perioperative myocardial infarction/injury was centrally adjudicated by two independent cardiologists using serial measurements of hs-cTnT. Using logistic regression, three models were derived: Model 1 including patient- and procedure-related information, Model 2 adding routinely available laboratory values, and Model 3 further adding preoperative hs-cTnT concentration. Models were also compared vs. preoperative hs-cTnT alone. The findings were validated in two independent cohorts. Among 6944 patients, PMI occurred in 1058 patients (15.2%). The predictive accuracy as quantified by the area under the receiver operating characteristic curve was 0.73 [95% confidence interval (CI) 0.71-0.74] for Model 1, 0.75 (95% CI 0.74-0.77) for Model 2, 0.79 (95% CI 0.77-0.80) for Model 3, and 0.74 for hs-cTnT alone. Model 3 included 10 preoperative variables: age, body mass index, known coronary artery disease, metabolic equivalent >4, risk of surgery, emergency surgery, planned duration of surgery, haemoglobin, platelet count, and hs-cTnT. These findings were confirmed in both independent validation cohorts (n = 722 and n = 966).

CONCLUSION

Preoperative cTn adds incremental value above patient- and procedure-related variables as well as routine laboratory variables in the prediction of PMI.

The clinical importance of high-sensitivity cardiac troponin measurements for risk prediction in non-cardiac surgery

INTRODUCTION

The global healthcare burden associated with surgery is substantial, with many patients experiencing perioperative complications. Cardiac troponin I and T measured with high-sensitivity assays are cardiac specific biomarkers that associate closely with adverse outcomes in most patient populations. Perioperative physiological stress can induce troponin release from cardiomyocytes, a condition known as perioperative myocardial injury (PMI). PMI is associated with increased risk of poor short- and long-term outcomes, and current European guidelines recommend screening for PMI in at-risk individuals undergoing non-cardiac surgery.

AREAS COVERED

In this review we summarize current knowledge of the prognostic attributes of cardiac troponins, as well as the challenges associated with their application as biomarkers in the perioperative phase.

EXPERT OPINION

Measurement of circulating levels of cardiac troponins identify individuals at increased risk of poor postoperative outcomes. Systematic screening of at-risk individuals undergoing non-cardiac surgery will result in a large proportion of patients in need of further diagnostic workup to establish the exact nature of their PMI. The lack of concrete evidence of clinical benefit and the increased cost associated with such a strategy is concerning and underscore the need for further research.

Perioperative myocardial injury and mortality after revision surgery for orthopaedic device-related infection

AIMS

Periprosthetic joint infections (PJIs) and fracture-related infections (FRIs) are associated with a significant risk of adverse events. However, there is a paucity of data on cardiac complications following revision surgery for PJI and FRI and how they impact overall mortality. Therefore, this study aimed to investigate the risk of perioperative myocardial injury (PMI) and mortality in this patient cohort.

METHODS

We prospectively included consecutive patients at high cardiovascular risk (defined as age ≥ 45 years with pre-existing coronary, peripheral, or cerebrovascular artery disease, or any patient aged ≥ 65 years, plus a postoperative hospital stay of > 24 hours) undergoing septic or aseptic major orthopaedic surgery between July 2014 and October 2016. All patients received a systematic screening to reliably detect PMI, using serial measurements of high-sensitivity cardiac troponin T. All-cause mortality was assessed at one year. Multivariable logistic regression models were applied to compare incidence of PMI and mortality between patients undergoing septic revision surgery for PJI or FRI, and patients receiving aseptic major bone and joint surgery.

RESULTS

In total, 911 consecutive patients were included. The overall perioperative myocardial injury (PMI) rate was 15.4% (n = 140). Septic revision surgery for PJI was associated with a significantly higher PMI rate (43.8% (14/32) vs 14.5% (57/393); p = 0.001) and one-year mortality rate (18.6% (6/32) vs 7.4% (29/393); p = 0.038) compared to aseptic revision or primary arthroplasty. The association with PMI persisted in multivariable analysis with an adjusted odds ratio (aOR) of 4.7 (95% confidence interval (CI) 2.1 to 10.7; p < 0.001), but was not statistically significant for one-year mortality (aOR 1.9 (95% CI 0.7 to 5.4; p = 0.240). PMI rate (15.2% (5/33) vs 14.1% (64/453)) and one-year mortality (15.2% (5/33) vs 9.1% (41/453)) after FRI revision surgery were comparable to aseptic long-bone fracture surgery.

CONCLUSION

Patients undergoing revision surgery for PJI were at a risk of PMI and death compared to those undergoing aseptic arthroplasty surgery. Screening for PMI and treatment in specialized multidisciplinary units should be considered in major bone and joint infections. Cite this article: Bone Joint J 2022;104-B(6):696-702.

Patient- and procedure-related factors in the pathophysiology of perioperative myocardial infarction/injury

BACKGROUND

Perioperative myocardial infarction/injury (PMI) is a frequent, often missed and incompletely understood complication of noncardiac surgery. The aim of this study was to evaluate whether patient- or procedure-related factors are more strongly associated to the development of PMI in patients undergoing repeated noncardiac surgery.

METHODS

In this prospective observational study, patient- and procedure-related factors were evaluated for contribution to PMI using: 1) logistic regression modelling with PMI as primary endpoint, 2) evaluation of concordance of PMI occurrence in the first and the second noncardiac surgery (surgery 1 and 2). and 3) the correlation of the extent of cardiomyocyte injury quantified by high-sensitivity cardiac troponin T between surgery 1 and 2. The secondary endpoint was all-cause mortality associated with PMI reoccurrence in surgery 2.

RESULTS

Among 784 patients undergoing repeated noncardiac surgery (in total 1'923 surgical procedures), 116 patients (14.8%) experienced PMI during surgery 1. Among these, PMI occurred again in surgery 2 in 35/116 (30.2%) patients. However, the vast majority of patients developing PMI during surgery 2 (96/131, 73.3%) had not developed PMI during surgery 1 (phi-coefficient 0.150, p < 0.001). The correlation between the extent of cardiomyocyte injury occurring during surgery 1 and 2 was 0.153. All-cause mortality following a second PMI in surgery 2 was dependent on time since surgery (adjusted hazard ratio 5.6 within 30 days and 2.4 within 360 days).

CONCLUSIONS

In high-risk patients, procedural factors are more strongly associated with occurrence of PMI than patient factors, but patient factors are also contributors to the occurrence of PMI.

[Cardiac biomarkers in noncardiac surgery patients : Review of cardiac biomarkers for risk stratification and detection of postoperative adverse cardiac events]

BACKGROUND

Yearly, more than 200 million people worldwide undergo noncardiac surgery of whom about 5% will suffer adverse cardiac events. Therefore, risk stratification and early detection of these events is crucial.

OBJECTIVES

The goal of this review is to summarize the currently available evidence on the role of biomarkers in perioperative cardiac risk assessment. It presents current data of the established biomarkers troponin and brain natriuretic peptide (BNP), and it also reports on new biomarkers that are still under evaluation, e.g. copeptin (a marker of neurohumoral activation) and presepsin (an inflammation marker).

MATERIALS AND METHODS

Narrative review.

RESULTS AND CONCLUSION

According to currently available data, there is a strong association between preoperative troponin or BNP values and postoperative adverse cardiac events and mortality. However, to date, there is only a weak recommendation for routine measurement of these biomarkers even in high-risk patients because the evidence on outcome improvement is still very limited. The evidence on treatment options in case of increased postoperative troponin values is also scarce so that international guidelines come to different conclusions regarding postoperative measurement of toponin. Meanwhile, several new biomarkers are under evaluation.

Diastolic Dysfunction Is a Risk of Perioperative Myocardial Injury Assessed by High-Sensitivity Cardiac Troponin T in Elderly Patients Undergoing Non-Cardiac Surgery

BACKGROUND

High-sensitivity cardiac troponin T (hs-cTnT) is useful for detecting myocardial injury and is expected to become a prognostic marker in patients undergoing non-cardiac surgery. The aim of this pilot study evaluating the efficacy of β-blocker therapy in a perioperative setting (MAMACARI study) was to assess perioperative myocardial injury (PMI) in elderly patients with preserved ejection fraction (EF) undergoing non-cardiac surgery.Methods and Results:In this prospective observational cohort study of 151 consecutive patients with preserved EF and aged >60 years who underwent non-cardiac surgery, serum levels of hs-cTnT were measured before and on postoperative days 1 and 3 after surgery. PMI was defined as postoperative hs-cTnT >0.014 ng/mL and relative hs-cTnT change ≥20%. A total of 36 (23.8%) of the patients were diagnosed as having PMI. The incidence of a composite of cardiovascular events within 30 days after surgery, including myocardial infarction, stroke, worsening heart failure, atrial fibrillation and pulmonary embolism, was significantly higher in patients with PMI than in patients without PMI (odds ratio (OR) 9.25, P<0.001, 95% confidence interval (CI) 2.65-32.3). Multivariate analysis revealed that left ventricular diastolic dysfunction defined by echocardiography was independently associated with PMI (OR: 3.029, 95% CI: 1.341-6.84, P=0.008).

CONCLUSIONS

PMI is frequently observed in elderly patients undergoing non-cardiac surgery. Diastolic dysfunction is an independent predictor of PMI.