Preoperative Midregional Pro-Adrenomedullin and High-Sensitivity Troponin T Predict Perioperative Cardiovascular Events in Noncardiac Surgery

A Focus on the Pathophysiology of Adrenomedullin Expression: Endothelitis and Organ Damage in Severe Viral and Bacterial Infections

Adrenomedullin (ADM) is a peptide hormone produced primarily in the adrenal glands, playing a crucial role in various physiological processes. As well as improving vascular integrity and decreasing vascular permeability, ADM acts as a vasodilator, positive inotrope, diuretic, natriuretic and bronchodilator, antagonizing angiotensin II by inhibiting aldosterone secretion. ADM also has antihypertrophic, anti-apoptotic, antifibrotic, antioxidant, angiogenic and immunoregulatory effects and antimicrobial properties. ADM expression is upregulated by hypoxia, inflammation-inducing cytokines, viral or bacterial substances, strength of shear stress, and leakage of blood vessels. These pathological conditions are established during systemic inflammation that can result from infections, surgery, trauma/accidents or burns. The ability to rapidly identify infections and the prognostic, predictive power makes it a valuable tool in severe viral and bacterial infections burdened by high incidence and mortality. This review sheds light on the pathophysiological processes that in severe viral or bacterial infections cause endothelitis up to the development of organ damage, the resulting increase in ADM levels dosed through its more stable peptide mid-regional proadrenomedullin (MR-proADM), the most significant studies that attest to its diagnostic and prognostic accuracy in highlighting the severity of viral or bacterial infections and appropriate therapeutic insights.

Myocardial injury before noncardiac surgery

Non-cardiac surgical procedures present a significant circulatory stress and can potentially trigger cardiovascular events, such as myocardial infarction and heart failure. Myocardial injury before non-cardiac surgery is associated with an increased risk of mortality and major cardiovascular complications during perioperative period, as well as up to 5 years after non-cardiac surgery. While the definition of preoperative myocardial injury is not yet clear, it is generally understood as myocardial injury resulting from various causes of troponin elevation without acute coronary syndrome prior to surgery. Detecting preoperative myocardial injury through routine troponin monitoring is crucial for reducing perioperative risk, but it is also challenging. The aim of this review is to discuss the definition of preoperative myocardial injury, its pathophysiology, implications on clinical practice and decision-making for patients with elevated troponin levels before non-cardiac surgery.

Usefulness of Preoperative Determination of Serum MR-ProAdrenomedullin Levels to Predict the Need for Postoperative Organ Support in Abdominal Oncological Surgery

The need for postoperative organic support is associated with patient outcomes. Biomarkers may be useful for detecting patients at risk. MR-ProADM is a novel biomarker with an interesting profile that can be used in this context. The main objective of this study was to verify whether there was an association between the preoperative serum levels of MR-ProADM and the need for organic support after elective abdominal cancer surgery, and to determine the preoperative MR-ProADM value that predicts the need for postoperative organic support. This was a multicenter prospective observational study conducted by four tertiary hospitals in Spain between 2017 and 2018. Plasma samples were collected for the quantification of MR-ProADM from adults who underwent major abdominal surgery during 2017-2018. The primary outcome was the need for organic support in the first seven postoperative days and its association with the preoperative levels of MR-ProADM, and the secondary outcome was the preoperative levels of MR-ProADM in the study population. This study included 370 patients with a mean age of 67.4 ± 12.9 years. Seventeen percent (63 patients) required some postoperative organic support measures in the first week. The mean preoperative value of MR-ProADM in patients who required organic support was 1.16 ± 1.15 nmol/L. The AUC-ROC of the preoperative MR-ProADM values associated with the need for organic support was 0.67 (95% CI: 0.59-0.75). The preoperative MR-ProADM value, which showed the best compromise in sensitivity and specificity for predicting the need for organic support, was 0.70 nmol/L. The negative predictive value was 91%. A multivariate analysis confirmed that a preoperative level of MR-ProADM ≥ 0.70 nmol/L is an independent factor associated with risk of postoperative organic support (OR 2, 6). Elevated preoperative MR-ProADM levels are associated with the need for postoperative organic support. Therefore, MR-ProADM may be a useful biomarker for perioperative risk assessment.

Biomarkers as Prognostic Predictors and Therapeutic Guide in Critically Ill Patients: Clinical Evidence

A biomarker is a molecule that can be measured in a biological sample in an objective, systematic, and precise way, whose levels indicate whether a process is normal or pathological. Knowing the most important biomarkers and their characteristics is the key to precision medicine in intensive and perioperative care. Biomarkers can be used to diagnose, in assessment of disease severity, to stratify risk, to predict and guide clinical decisions, and to guide treatments and response to them. In this review, we will analyze what characteristics a biomarker should have and how to ensure its usefulness, and we will review the biomarkers that in our opinion can make their knowledge more useful to the reader in their clinical practice, with a future perspective. These biomarkers, in our opinion, are lactate, C-Reactive Protein, Troponins T and I, Brain Natriuretic Peptides, Procalcitonin, MR-ProAdrenomedullin and BioAdrenomedullin, Neutrophil/lymphocyte ratio and lymphopenia, Proenkephalin, NefroCheck, Neutrophil gelatinase-associated lipocalin (NGAL), Interleukin 6, Urokinase-type soluble plasminogen activator receptor (suPAR), Presepsin, Pancreatic Stone Protein (PSP), and Dipeptidyl peptidase 3 (DPP3). Finally, we propose an approach to the perioperative evaluation of high-risk patients and critically ill patients in the Intensive Care Unit (ICU) based on biomarkers.

Assessment of the Stability of Midregional Proadrenomedullin in Different Biological Matrices

Midregional proadrenomedullin (MR-proADM) has been shown to play a key role in endothelial dysfunction, with increased levels helping to prevent early stages of organ dysfunction. Recent clinical evidence has demonstrated MR-proADM to be a helpful biomarker to identify disease severity in patients with sepsis as well as pneumonia. This biomarker is helpful at triage in emergency departments to assess risk level of patients. The aim of this study is to evaluate the stability of MR-proADM in different biological matrices. The results, obtained by Bland-Altman and scatter plot analyses, demonstrate that deviation of MR-proADM concentration in serum compared to EDTA plasma unequivocally shows that serum should not be used as a sample matrix. Instead, the excellent correlation of heparin plasma vs EDTA plasma samples shows that heparin plasma can be used without reservation in clinical routine and emergency samples.

Preoperative Levels of the Soluble Urokinase-Type Plasminogen Activator Receptor as Predictor for New Episodes of Atrial Fibrillation After Vascular Surgery

INTRODUCTION

The soluble urokinase-type plasminogen activator receptor (suPAR) in uPAR soluble form is produced when the uPAR is cleaved from the cell membrane during the inflammatory process. Postoperative atrial fibrillation (AF) is the most common perioperative cardiac arrhythmia. It is speculated that elevated suPAR has a role in the development of AF. The aim of our study was to investigate the predictive role of preoperative suPAR in the occurrence of AF during the first 6 months after major vascular surgery.

METHODS

We included 119 male and 63 female patients with an average age of 67.19 ± 6.02 years, without permanent/persistent AF. Basic predictive model (BASIC) included traditional risk factors for AF: age, gender, body mass index-BMI, smoking status, presence of arterial hypertension, diabetes mellitus and dyslipidemia.

RESULTS

Over the 6-month period, 19 (10.4%) patients had one new episode of atrial fibrillation and 2 patients (1.1%) had 2 episodes of paroxysmal atrial fibrillation. Paroxysms of AF were significantly more frequent in patients who had a resection of an abdominal aneurysm than in patients with other types of major vascular surgery. BASIC had good discriminatory ability in the prediction of AF paroxysms during the first 6 months after surgery (AUC = 0.715, 95%CI 0.590-0.840). Adding suPAR to the basic model significantly improved the discriminative ability of the predictive model for AF episodes (ΔAUC = 0.238, p < 0.001). The predictive performance of the model BASIC+CRP+suPAR, measured using AUC, NRI and IDI statistics, was very similar to the model BASIC+suPAR.

CONCLUSION

AF is a common complication in surgical patients with high mortality and morbidity. suPAR could improve the ability of traditional risk factors to predict its occurrence up to 6 months after major vascular surgery.

[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.

Pre-Operative pro-adrenomedullin as a predictor of postoperative requirement of organ support in patients scheduled for major abdominal surgery. A prospective observational pilot study

BACKGROUND

Mid-Regional-Pro-Adrenomedullin (MR-Pro-ADM) is a marker of severity in a wide spectrum of pathological conditions such as sepsis, and cardiovascular dysfunction. Its usefulness as a predictor of morbidity and mortality in surgical patients has yet to be elucidated. We examined the ability of preoperative MR-Pro-ADM in predicting Postoperative Requirement of Organ Support (PROS).

METHODS

One centre, pilot, prospective observational cohort study, enrolling adult patients scheduled for major abdominal surgery. The accuracy of the MR-Pro-ADM to predict PROS was determined by area under the receiver operating characteristic curve (AUROC) analysis. An univariate analysis was performed to identify the association of PROS and the MR-Pro-ADM value with the best combination of sensitivity and specificity. A multivariate analysis was performed to identify preoperative MR-Pro-ADM as independent risk factor for PROS.

RESULTS

A total of 59 patients scheduled for major abdominal surgery were enrolled. The incidence of PROS was 13.6%. The association of MR-Pro-ADM levels with the incidence of PROS, was determined by an area under the ROC curve of 0.85 (95% CI: 0.74-0.96, p=0.002). The preoperative value of MR-Pro-ADM with the best combination of sensitivity and specificity to predict PROS was 0.87 nmol/l. Patients with preoperative serum levels of MR-Pro-ADM≥0.87 nmol/l had a significantly higher incidence of PROS (33.3% vs 4.9%, p=0.007). MR-Pro-ADM≥0.87 nmol/l was shown to be an independent risk factor for PROS (p=0.001; OR 9.758; IC 1.73-54.78) in the multivariate analysis.

CONCLUSION

The preoperative serum level of MR-Pro-ADM may be a useful biomarker of perioperative risk and to predict postoperative requirement of organic support (PROS) in adult patients scheduled for major abdominal surgery.

Cardiac Biomarkers Predicting MACE in Patients Undergoing Noncardiac Surgery: A Meta-Analysis

Objective: The present meta-analysis was aimed to systematically evaluate the effectiveness and accuracy of brain natriuretic peptide (BNP), cardiac troponin (cTn), high sensitive C reactive protein (hs-CRP) and CRP for predicting postoperative major adverse cardiovascular events (MACE) in patients undergoing noncardiac surgery.

Methods: A total of 26 relevant studies with 7,877 participants were collected from five databases, namely PubMed, Embase, China National Knowledge Infrastructure (CNKI), CQVIP and the Wanfang Database until August 10, 2018. And the Review Manager Version 5.3 and Stata/SE 12 software were used for data syntheses in the meta-analysis.

Results: Strong relationships of BNP/NT-proBNP, cTnI/cTnT and hs-CRP with MACE were detected in patients undergoing noncardiac surgery, and the five biomarkers all increased the risk of MACE. Compared to normal levels, elevated BNP/NT-proBNP could increase the MACE risk by almost 4-fold [RR:3.92, 95%CI: 3.23–4.75, P < 0.001]; elevated BNP corresponded to a 4.5-fold risk [RR:4.57, 95%CI: 3.37–6.20, P < 0.001]; elevated NT-proBNP led to a 3-fold higher risk [RR:3.48, 95%CI: 2.71–4.46, P < 0.001]. Comparing with normal levels of cTnI/cTnT, increased cTnI/cTnT was associated with nearly 5-fold more higher risk of MACE [RR:5.52, 95%CI: 4.62–6.58, P < 0.001]; elevated cTnI faced a 5-fold risk [RR:5.21, 95%CI: 3.96–6.86, P < 0.001]; elevated cTnT resulted in nearly 6-fold higher risk [RR:5.73, 95%CI: 4.55–7.22, P < 0.001]. The elevation of hs-CRP was associated with nearly 4-fold higher risk of MACE in comparison with normal concentration [RR:3.73, 95%CI: 2.63–5.30, P < 0.001].

Conclusion: According to the results of our meta-analysis, the elevations of BNP/NT-proBNP, cTnI/cTnT, and hs-CRP, pre-operation or post-operation immediately, can predict much higher risk of postoperative MACE in patients undergoing noncardiac surgery.

Potential New Approaches in Predicting Adverse Cardiac Events One Month after Major Vascular Surgery

OBJECTIVE

The aim of our study was to find the best model with sufficient power to improve the risk stratification in major vascular surgery patients during the first 30 days after this procedure. The discriminatory power of 4 biomarkers (troponin I [TnI], N-terminal prohormone of brain natriuretic peptide [NT-proBNP], creatine kinase-MB isoenzyme [CK-MB], high-sensitivity C-reactive protein [hs-CRP]) was tested as well as 2 risk assessment models and 13 different combinations of them.

SUBJECTS AND METHODS

The study included 122 patients (77% men, 23% women) with an average age of 67.03 ± 4.5 years. An aortobifemoral bypass was performed in 6.56% of the patients, a femoropopliteal bypass in 18.85%, and 49.18% received open surgical reconstruction of the carotid arteries. A total of 25.41% of the patients were given an aortobi-iliac bypass.

RESULTS

During the first 30 days, 13 patients (10.7%) had 17 cardiac complications. The most common complication was the new onset of atrial fibrillation (35.3%). During the first 10 days, 10 patients had 1 complication and 2 patients had 2 cardiac events, while 1 patient had 3 complications. By comparing combinations of scores and markers, it was shown that revised cardiac risk index (RCRI) + Vascular Portsmouth Physiological and Operative Severity Score (V-POSSUM) + hsTnI and RCRI + V-POSSUM + hsTnI + NT-proBNP with 100% sensitivity, > 80% specificity had the best discriminatory ability (AUC 0.924 and 0.933, respectively; p < 0.001 for both models) for cardiac complications during the 30 days after surgery.

CONCLUSION

Combinations of traditional preoperative risk factors and scores can enhance the assessment of major adverse cardiac events (MACE) in patients preparing for large vascular surgery. Using only one risk score in these patients seems to be underperforming in preoperative risk assessment.

A Risk Stratification Model for Cardiovascular Complications during the 3-Month Period after Major Elective Vascular Surgery

Introduction

The Revised Cardiac Risk Index (RCRI) is an extensively used simple risk stratification tool advocated by the European Society of Cardiology and European Society of Anesthesiology (ESC/ESA).

Purpose

The aim of this study was to find the best model for predicting 3-month cardiovascular complications in elective major vascular surgical patients using preoperative clinical assessment, calculation of the RCRI and Vascular Physiological and Operative Severity Score for the enumeration of mortality and morbidity (V-POSSUM) scores, and the preoperative levels of N-terminal brain natriuretic peptide (NT pro-BNP), high-sensitivity troponin I (hs TnI), and high-sensitivity C-reactive protein (hs CRP).

Materials and Methods

We included 122 participants in a prospective, single-center, observational study. The levels of NT pro-BNP, hs CRP, and hs TnI were measured 48 hours prior to surgery. During the perioperative period and 90 days after surgery the following adverse cardiac events were recorded: myocardial infarction, arrhythmias, pulmonary edema, acute decompensated heart failure, and cardiac arrest.

Results

During the first 3 months after surgery 29 participants (23.8%) had 50 cardiac complications. There was a statistically significant difference in the RCRI score between participants with and without cardiac complications. ROC analysis showed that a combination of RCRI with hs TnI has good discriminatory power (AUC 0.909, p<0,001). By adding NT pro-BNP concentrations to the RCRI+hs TnI+V-POSSSUM combination we obtained the model with the best predictive power for 3-month cardiac complications (AUC 0.963, p<0,001).

Conclusion

We need to improve preoperative risk assessment in participants scheduled for major vascular surgery by combining their clinical scores with biomarkers. Therefore, it is possible to identify patients at risk of cardiovascular complications who need adequate preoperative diagnosis and treatment.