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In addition to its contractile function, the heart is also considered an endocrine organ capable of producing two natriuretic peptide hormones, atrial natriuretic peptide (ANP) and brain natriuretic peptide (BNP). Both hormones cause increased renal excretion of water and solute in response to plasma volume overload and hyperosmolality. A variety of pathophysiologic stressors are also known to stimulate BNP release, with myocardial ischemia and cardiomyocyte stretch being principal among these.
BNP was first isolated from porcine brain in 1988. It is a misnomer because it originates in far greater quantities from the ventricular myocardium compared with the brain. BNP is synthesized as a prehormone, proBNP, which, upon release into the circulation, is cleaved into the biologically active BNP and an inactive N-terminal fragment called NT-proBNP. Plasma concentration of NT-proBNP is higher than that of BNP. Even though they are derived from the same precursor protein, they are subject to different metabolic pathways whereby BNP is degraded faster.
Plasma BNP/NT-proBNP is useful in the clinical evaluation and risk stratification of patients with stable coronary artery disease (CAD), acute coronary syndrome, and congestive heart failure (CHF). Its diagnostic and prognostic value in this regard has been evident since the early 1990s. , It can also be used as a biomarker for perioperative risk stratification in patients with risk factors for cardiac morbidity and mortality. Preoperative NT-proBNP has been shown to be strongly associated with vascular death and myocardial injury after noncardiac surgery (MINS). MINS is a common cardiovascular complication after surgery and is associated with perioperative death. It is defined as myocardial injury that may result in myocardial necrosis, is caused by myocardial ischemia, and has prognostic relevance. It is independently associated with a 30-day mortality rate of at least 3.0%
MINS, by definition, includes myocardial infarction (MI) and ischemic myocardial injury occurring within 30 days of surgery. It was developed as a concept in 2014 by the Vascular Events in Noncardiac Surgery Patients Cohort Evaluation (VISION) group of investigators who recognized that patients may experience perioperative myocardial injury that does not satisfy the diagnostic criteria for MI. The diagnostic criteria for perioperative MI are no different from those for MI that occurs outside the surgical setting (as defined by the joint task force of European Society of Cardiology [ESC], American College of Cardiology [ACC] Foundation, American Heart Association [AHA], and World Heart Association), i.e., an elevation in cardiac troponin in combination with one of the following: ischemic symptoms, ischemic electrocardiographic changes, imaging evidence of new loss of viable myocardium, or angiographic evidence of intracoronary thrombus. Large epidemiologic studies have established troponin thresholds, based on iterative processes, for diagnosis of MINS using multivariable analyses to establish association with 30-day mortality ( Table 9.1 ). Although the etiology has not been elucidated to any degree, supply-demand mismatch is thought to significantly exceed thrombus formation as the underlying cause in a preponderance of cases. It is noteworthy, however, that most cases of MINS are thought to occur in patients with underlying atheroma.
Non-high-sensitivity Troponin T | ≥30 ng/L |
High-sensitivity Troponin T | 20–65 ng/L with an absolute change of at least 5 ng/L between pre- and postoperative values ≥ 65 ng/L without requirement for absolute change between pre- and postoperative values |
Troponin I | No optimal threshold has been established for diagnosis of MINS. An elevation above the 99th percentile upper reference limit for each specific troponin I assay has been suggested as being reasonable to use until criteria are established. |
a There is no evidence to suggest that troponin T is superior to troponin I. 11 MINS , Myocardial injury after noncardiac surgery.
Accurate cardiovascular risk assessment allows for stratification for further preoperative optimization, intraoperative monitoring and anesthesia technique, and postoperative disposition. The algorithmic approach taken by the ACC/AHA for perioperative cardiac assessment for CAD is useful for obtaining a perspective on screening options and for deciding on the degree of invasiveness required ( Fig. 9.1 ). This stepwise strategy has two critical junctures, the first being classification into low versus elevated risk groups. A number of risk assessment tools can be used for this. The Revised Cardiac Risk Index (RCRI) and the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) Surgical Risk Calculator are two of the most frequently used. The RCRI, originally described in 1999, includes six factors, assigned one point each: history of ischemic heart disease, CHF, cerebrovascular disease, preoperative insulin use for diabetes, serum creatinine > 2.0 mg/dL (177 μmol/L), and high-risk surgery ( Table 9.2 ). The RCRI score has been externally validated and its predictive value found to be significant in all types of elective noncardiac surgery except for abdominal aortic aneurysm repair. RCRI score and corresponding pooled risk estimates from external validation studies that used systematically monitored perioperative troponin measurements can be seen in Table 9.3 . The ACS NSQIP is a web-based universal risk calculator that is predictive for 18 disparate complications, including MI and cardiac arrest ( Table 9.4 ). A separate risk calculator, the ACS Myocardial Infarction and Cardiac Arrest Calculator (MICA), looks specifically at perioperative cardiac events. There is no evidence demonstrating superiority of ACS NSQIP or MICA over RCRI. Critics of ACS NSQIP and MICA maintain that cardiac risk may be underestimated because patients in contributing studies did not undergo perioperative troponin testing, nor have the NSQIP surgical risk calculators undergone validation in a study that monitored troponin measurements after noncardiac surgery. A further criticism of the NSQIP calculators relates to the definition of MI in the studies used to derive the NSQIP risk indices, which only included patients with ST-segment elevation MI (STEMI) or a large symptomatic increase in troponin (more than three times the normal level). It is quite likely that many postoperative infarcts are of the non-STEMI (NSTEMI) variety and silent. Advocates for both NSQIP risk calculators point to the large patient numbers and multicenter methodology used in their development: over 200,000 patients from more than 250 hospitals for ACS MICA and over 1.4 million patients from 393 hospitals for ACS NSQIP. The RCRI, conversely, was developed from a prospective single-center cohort of 4315 patients.
Variable | Points |
---|---|
History of ischemic heart disease a | 1 |
History of congestive heart failure b | 1 |
History of cerebrovascular disease c | 1 |
Use of insulin therapy for diabetes | 1 |
Preoperative serum creatinine > 177 μ mol/ (> 2.0 mg/dL) | 1 |
High-risk surgery d | 1 |
a History of myocardial infarction, positive exercise test, current complaint of ischemic chest pain or nitrate use, electrocardiogram with pathologic Q waves; patients with previous revascularization procedure meet criteria if they have such findings after coronary artery bypass or percutaneous coronary intervention (PCI).
b History of heart failure, pulmonary edema, or paroxysmal nocturnal dyspnea; an S3 gallop or bilateral rales on physical examination; chest radiograph showing pulmonary vascular resistance.
c Previous stroke or transient ischemic attack (TIA).
d Intraperitoneal, intrathoracic, or suprainguinal vascular surgery. (From Duceppe E, Parlow J, MacDonald P, et al. Canadian Cardiovascular Society guidelines on perioperative cardiac risk assessment and management for patients who undergo noncardiac surgery. Can J Cardiol. 2017;33[1]:17–32.)
Total RCRI Points | Risk Estimate (%) | 95% CI for the Risk Estimate |
---|---|---|
0 | 3.9 | 2.8%–5.4% |
1 | 6.0 | 4.9%–7.4% |
2 | 10.1 | 8.1%–12.6% |
≥ 3 | 15.0 | 11.1%–20.0% |
Variable | Possible Answers |
---|---|
Surgical procedure | Procedure defined by CPT code |
Age group | <65 / 65–74 / 75–84 / >85 years |
Sex | Male / Female |
Functional status | Independent/ Partially dependent / Totally |
Emergency case | Yes / No |
ASA class | I-V |
Steroid use for chronic condition | Yes / No |
Ascites within 30 days of surgery | Yes / No |
Systemic sepsis within 48 h prior to surgery | None / SIRS /Sepsis / Septic shock |
Ventilator dependent | Yes / No |
Disseminated cancer | Yes / No |
Diabetes | No / Oral / Insulin |
Hypertension requiring medication | Yes / No |
Congestive heart failure in 30 days prior | Yes / No |
Dyspnea | No / With moderate exertion / With rest |
Current smoker within 1 year | Yes / No |
History of severe COPD | Yes / No |
Dialysis | Yes / No |
Acute renal failure | Yes / No |
BMI calculation |
The second critical juncture in the ACC/AHA algorithm involves determination of functional capacity. Patients with poor or unknown functional capacity will require further evaluation (e.g., myocardial perfusion imaging or dobutamine stress echocardiography) if surgery is not urgent and the patient is a willing and appropriate candidate for revascularization. The metabolic equivalent (MET) score is frequently used to assess functional capacity. An alternative method for evaluation of functional capacity is the Duke Activity Status Index (DASI), a self-assessment tool consisting of 12 questions related to activities of daily living ( Table 9.5 ). A recent large multicenter, international, prospective cohort study demonstrated the superiority of DASI, compared with the MET score, for prediction of death or MI within 30 days of major elective noncardiac surgery.
Item | Activity | Yes |
---|---|---|
1 | Can you take care of yourself (eating, dressing, bathing, or using the toilet)? | 2.75 |
2 | Can you walk indoors, such as around the house? | 1.75 |
3 | Can you walk a block or two on level ground? | 2.75 |
4 | Can you climb a flight of stairs or walk uphill? | 5.50 |
5 | Can you run a short distance? | 8.00 |
6 | Can you do light work around the house like dusting or washing dishes? | 2.70 |
7 | Can you do moderate work around the house like vacuuming, sweeping floors, or carrying in groceries? | 3.50 |
8 | Can you do heavy work around the house like scrubbing floors or lifting and moving heavy furniture? | 8.00 |
9 | Can you do yard work like raking leaves, weeding, or pushing a power mower? | 4.50 |
10 | Can you have sexual relations? | 5.25 |
11 | Can you participate in moderate recreational activities like golf, bowling, dancing, doubles tennis, or throwing a baseball or football? | 6.00 |
12 | Can you participate in strenuous sports like swimming, singles tennis, football, basketball, or skiing? | 7.50 |
BNP/NT-proBNP has been posited as a surrogate measure of functional capacity. Several studies and meta-analyses demonstrate that preoperative BNP/NT-proBNP concentration improves perioperative cardiac risk prediction in patients undergoing noncardiac surgery. There is no indication that one biomarker is superior for perioperative cardiac risk stratification. The following sections are mostly concerned with the elective surgical patient where measurement of preoperative BNP/NT-proBNP can be done in a timely fashion and the results analyzed in a way that may be impactful.
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