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3 Controversies inAntibiotic Prophylaxis inOrthopaedic Surgery
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23. Courtney MP, Melnic CM, Zimmer Z, Anari J, Lee G-C.Addition of vancomycin to cefazo­lin prophylaxis is associated with acute kidney injury after primary joint arthroplasty. Clin Orthop. 2015;473:2197–203.
24. Clegg J, Soldaini E, McLoughlin RM, Rittenhouse S, Bagnoli F, Phogat S. Staphylococcus aureus vaccine Research and Development: the past, present and future, including novel thera­peutic strategies. Front Immunol. 2021;12:705360.
25. Zastrow RK, Huang H, Galatz LM, Saunders-Hao P, Poeran J, Moucha CS.Characteristics of antibiotic prophylaxis and risk of surgical site infections in primary Total hip and knee arthro­plasty. J Arthroplast. 2020;35:2581–9. https://doi.org/10.1016/j.arth.2020.04.025.
26. Berríos-Torres SI, Umscheid CA, Bratzler DW, Leas B, Stone EC, Kelz RR, Reinke CE, Morgan S, Solomkin JS, Mazuski JE, Dellinger EP, Itani KMF, Berbari EF, Segreti J, Parvizi J, Blanchard J, Allen G, Kluytmans JAJW, Donlan R, Schecter WP, Healthcare Infection Control Practices Advisory Committee. Centers for Disease Control and Prevention guideline for the prevention of surgical site infection, 2017. JAMA Surg. 2017;152:784–91. https://doi.
org/10.1001/jamasurg.2017.0904.
https://doi.org/10.1007/s11999- 014- 4062- 3.
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Chapter 4
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Perioperative Hemodynamic Monitoring forHigh Risk Surgical Patients
RajMadhani, JingyuanBiaesch, andAustinPuchany
Introduction
The administration of anesthesia leads to physiologic perturbations, including changes to hemodynamic regulation. These changes are primarily driven by loss of sympathetic drive leading to decreased vascular tone, blood pressure, and cardiac output [13]. This results in decreased perfusion and oxygenation of vital end organs including the brain, heart, and kidneys, leading to anesthesia-related morbid­ity and mortality. Mortality rates related to or directly caused by anesthesia are cur­rently estimated to be 0.82 in 100,000 surgical in-patients [4]. This is a vast improvement since the 1940s when 100in 100,000 (1in 1000) healthy surgical patients died from anesthesia [5].
In one meta-analysis of over 3000 cases, optimizing hemodynamics reduced the number of major and minor postoperative gastrointestinal complications [6]. In another study, mean arterial pressures depressed by 30% led to an increased risk of postoperative stroke in non-cardiac and non-neurosurgical procedures [7]. Hypotension during non-cardiac surgeries has demonstrated an increased risk of postoperative myocardial infarction and acute kidney injury as well [8]. Clearly, hemodynamics guided patient management plays an essential role in achieving more positive outcomes, and in reducing poor perioperative courses. To that end, proper hemodynamic data acquisition and interpretation is required.
R. Madhani (*) · J. Biaesch · A. Puchany Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA e-mail: rxm656@jefferson.edu; maj6@upmc.edu; puchanyaj@upmc.edu
Switzerland AG 2024 J. Faintuch, S. Faintuch (eds.), Recent Strategies in High Risk Surgery,
https://doi.org/10.1007/978-3-031-56270-9_4
49© The Author(s), under exclusive license to Springer Nature
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Dening High-Risk Patients
With a wide array of hemodynamic monitoring tools available, deciding what resources to use can often become overwhelming, inefcient, and expensive. As with many aspects of medicine, a patient-specic approach can assist with these decisions; thus, it is important to consider each patient on a case-by-case basis to determine their monitoring needs. This starts with risk stratication by iden­tifying the high-risk surgical patient. This subset of patients composes approxi­mately 12% of all surgical patients but accounts for over 80% of surgical mortality [9].
Risk Index Calculators
Traditionally, high-risk surgical patients were those with a greater than 5% chance of mortality or twice the risk of mortality for a specic procedure when compared to the general population [10]. The problem with this assumption is the focus on mortality alone. As an aid to this narrow approach, a variety of risk index calculators has been created to assess for perioperative complications. Many scores for surgical use as well as for critical patients in general are available for online assessment at
mdcalc.com along with other more specic platforms such as the American College
of Surgeons—ACS-NSQIP.
American Society ofAnesthesiologists Physical Status (ASA-PS)
The classic American Society of Anesthesiologists Physical Status (ASA-PS) is a six-level classication system that establishes and communicates a patient’s pre­anesthesia medical comorbidities. While it does not explicitly calculate periopera­tive risk, it can be used in conjunction with other factors like type of surgery, age, and frailty to assess risk. Table4.1 outlines this system [11]. The simplicity of this classication system is also its weakness. It has been shown to have moderate inter­rater reliability among anesthesiologists and lower inter-rater reliability among phy­sicians of different specialties [12, 13]. When there is discordance among raters, a statistically signicant increase in 30-day and 1-year mortality of the patient has been shown [13].
Numerous studies have demonstrated its utility despite the potential for discor­dance and the ASA’s original purpose. Class I patients have a 0.1% mortality rate, while class V patients have a 93.3% mortality rate [10]. The classication system has also demonstrated its ability to predict the risk of readmission [14].
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Table 4.1
American Society of Anesthesiologists Physical Status Classication [11]
ASA-PS Level Denition
I Normal healthy patient (non smoker, non drinker) II Patient with mild systemic disease (uncomplicated pregnancy, well controlled
comorbidities)
III Patient with severe systemic disease (poorly controlled chronic diseases,
dialysis dependent renal failure)
IV Patient with severe systemic disease that is a constant threat to life (severe
cardiovascular event <3months, shock, low ejection fraction)
V Moribund patient not expected to survive without the surgery (ruptured aortic
aneurysm, major intracranial bleed, ischemic bowel)
VI Declared brain-dead
Revised Cardiac Risk Index (RCRI)
The Revised Cardiac Risk Index (RCRI) was created and validated in 1999 to assess the risk of major adverse cardiac complications in patients undergoing noncardiac surgery. These complications include myocardial infarction (MI), pulmonary edema, ventricular brillation or primary cardiac arrest, and complete heart block. This index uses six, independent factors namely, high-risk surgical procedure, his­tory of ischemic heart disease, heart failure, cerebrovascular disease, preoperative treatment with insulin, and preoperative serum creatinine greater than 2.0mg/dL [15]. Having at least two of these predictive factors leads to elevated risk. RCRI differentiates well between low and high-risk for noncardiac surgery. However, it has limited ability in vascular surgery and kidney transplant [16, 17].
American College ofSurgeons National Surgical Quality Improvement Program (ACS-NSQIP)
The American College of Surgeons National Surgical Quality Improvement Program Universal Surgical Risk Calculator (ACS-NSQIP) was started in 2013 with data acquired from 393 hospitals and over 1.4 million patients, and is continuously improved. This tool considers 21 preoperative factors that cover demographics, comorbidities, and procedures [18]. Similar to a few other scores, ACS-NSQIP fac­tors in ASA-PS which was previously discussed. Additionally, this vast calculator database factors in over 1500 unique Current Procedural Terminology codes when determining surgical risks. ACS-NSQIP uses patient-specic inputs and generates risk predictions for categories including cardiac complications such as cardiac arrest or myocardial infarction, pneumonia, surgical site infection, urinary tract infection, venous thromboembolism, renal failure, readmission, return to the operating room, death, discharge to an advanced care facility, sepsis, and predicted length of stay.
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This risk stratication tool has the advantage of being comprehensive yet stan­dardized. It considers a wide range of patient- and procedure-specic factors and relays risk stratication for a variety of complications. It is important to note that while ACS-NSQIP determines the risk of various cardiac complications, it does not specically capture the risk associated with pulmonary edema and complete heart block [19]. Thus, it cannot completely replace RCRI but can be used in conjunction with it. Furthermore, the calculator was developed from patient databases acquired from 10% of hospitals in the United States that conduct 30% of the country’s surgi­cal procedures and has not been externally validated [18]. Despite these limitations, ACS-NSQIP provides useful risk stratication data that can allow for strategic peri­operative surgical planning.
Physiological andOperative Severity Score fortheEnumeration ofMortality andMorbidity (POSSUM)
The POSSUM system utilizes both preoperative and intraoperative conditions to determine postoperative morbidity and mortality [20]. Each category is scored 1–4 with a corresponding graded value. The summative score for the preoperative and intraoperative variables is inserted into a formula and then morbidity and mortality are calculated (Table4.2).
The POSSUM score is a complex mathematical equation, yet available at
mdcalc.com. It tends to overestimate morbidity and mortality in low-risk
patients and underestimate in extreme age and in emergency surgical situations [19]. The Portsmouth-POSSUM (P-POSSUM) score is a modied equation of the original POSSUM score that appears to mitigate this overestimation [21]. Because this score cannot be calculated until the end of the procedure, its utility is limited to postoperative care. Though the score does not aid in the preopera­tive and intraoperative anticipation and preparation for hemodynamic monitor­ing, it does indicate which patients may need closer postoperative hemodynamic monitoring. It is also non- exclusive to any surgical specialty and has been vali­dated in multiple continents [19].
Table 4.2 Physiological and Operative Severity Score for the Enumeration of Mortality and Morbidity (POSSUM score) [20]
Preoperative Variables Intraoperative Variables
Age, chest X-ray, cardiac and pulmonary conditions, systolic blood pressure, pulse rate, Glasgow coma score, blood urea nitrogen, Na+, K+, hemoglobin, white blood cell count, electrocardiogram
Operative magnitude and urgency, operations within 30days, blood loss, peritoneal contamination, malignancy
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Surgical Apgar Score (SAS)
SAS calculates the 30-day postoperative risk of morbidity and mortality for general and vascular surgeries [22]. Each factor is given a graded score and the total sum is added to determine risk. It has been widely validated however appears to be less predictive in procedures where regional anesthesia is used [23]. Similar to ACS- NSQIP, SAS has been studied in combination with ASA-PS and found to augment postoperative risk prediction [24]. Analogous to POSSUM, it is calculated postoperatively and thus cannot help with preoperative preparation.
Functional Capacity Assessment
Functional capacity refers to the body’s ability to uptake oxygen for use in aerobic metabolism to partake in activities of daily living [25]. Though it is mathematically dened by the maximal oxygen uptake based on cardiac output and arteriovenous oxygen difference at maximal exertion, it is typically represented as metabolic equivalents (MET). One MET is equivalent to basal energy usage, and can be thought of as the resting metabolic state within a given context. METs for activities of daily living are quantied, available electronically, and used to assess a patient’s functional capacity [26].
Less than four METs are determined to be high-risk for perioperative complica­tions and require further preoperative cardiac evaluation, such as cardiopulmonary exercise testing [27]. Subjective assessment of functional capacity involves asking patients about their ability to complete common activities of daily living. For exam­ple, four METs are the equivalent of climbing two ights of stairs. Subjective, patient-reported METs have demonstrated low sensitivity and thus cannot reliably exclude poor functional capacity [28].
The gold standard for determining functional capacity is cardiopulmonary exercise testing (CPET) [19]. This costly and time-consuming test does not rep­resent a viable method for all patients undergoing surgery. An appropriate alter­native would be to conduct an initial screening to determine who might need CPET.The Duke Activity Status Index (DASI) represents this alternative. DASI is a self- administered standardized questionnaire that has been validated as an accurate surrogate for functional capacity assessment [29]. Each question cor­responds to a weighted value which is added together to determine functional status that positively correlates to METs. While it does not substitute for the accuracy of the CPET, it decreases the total number of patients who may need further testing.
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Biomarkers
Most postoperative MIs are “silent” as patients do not display typical ischemic symp­toms [30]. 30-day mortality rates are elevated in patients who experience a postopera­tive MI, with the majority occurring within 48h of surgery. Thus, there is a need to identify those patients who are potentially at increased risk for cardiac morbidity and mortality. Natriuretic peptides, including B-type natriuretic peptide (BNP) and N-terminal-pro BNP (NTP-BNP), and cardiac troponin are two extensively studied biomarkers for perioperative risk stratication [19, 31]. Natriuretic peptides are released in response to ventricular dysfunction stemming from cardiac wall stretch­ing. Troponins are released in response to cardiac ischemia and wall damage [3].
Both preoperative and postoperative BNP and NTP-BNP measurements have demonstrated signicant predictability for 30- and 180-day mortality and cardiac morbidity in patients undergoing noncardiac surgery [32]. Threshold values for post­operative elevated risk include a BNP greater than 245pg/mL and NTP-BNP greater than 718pg/mL.The same concept holds true for perioperative troponin measure­ments. Both elevated preoperative and postoperative troponin measurements are inde­pendent predictors of 30-day mortality [31, 33]. Finally, these biomarkers have demonstrated augmentation of RCRI’s ability to predict adverse cardiac events [34]. Current studies do not demonstrate how knowledge of these biomarkers can lead to directed therapeutics to improve outcomes [19]. One component of this solution will likely be to maintain comprehensive perioperative hemodynamic monitoring.
Standard ASA Monitors
The American Society of Anesthesiologists has created standards for basic anes­thetic monitoring to be used in all procedures that utilize general, regional, or moni­tored anesthetic care, except for laboring obstetric patients and practice of pain management. The standard requirements include monitoring oxygenation, ventila­tion, circulation, and temperature [35]. These parameters are essential to the prac­tice of anesthesiology. In higher-risk patients, a series of invasive and non-invasive devices can augment basic monitoring and should be utilized on a case-by-case basis.
Oxygenation
Monitoring oxygenation allows for adequate oxygen delivery to end organs and pre­vents anaerobic respiration with consequent end-organ damage secondary to hypox­emia. To monitor oxygenation, quantitative pulse oximetry should be used. Pulse oximeters measure blood oxygen saturation/SpO of arterial hemoglobin [36]. Light-emitting probes are placed on the ngertip, earlobe, or forehead; all are areas with high vascularity. SpO2 is generated by differential
, a surrogate for oxygen saturation
2
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absorption of red and near-infrared light as light passes through the artery overlying the light-emitting diode. This generates a percent saturation of arterial hemoglobin. When these devices were rst designed, they were generated using healthy volunteers who had their arterial oxygen saturation altered from 70% to 100%, thus SpO2 read­ings less than 70% are unlikely to be reliable. Additionally, these probes rely on ade­quate circulation through the body part the probe is analyzing. Patients with impaired peripheral circulation may have difculty getting accurate readings.
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Plethysmographic Waveform
This is another variable that can be collected with pulse oximeter and elucidates heart rate and rhythm as well as gives insight into the volume status of the patient [36, 37]. Volume status assessment by monitoring the pulse oximeter plethysmo­graphic waveform amplitude (dPOP) allows for targeted volume resuscitation in uid-responsive patients [38]. dPOP is a calculation of the variability seen in ple­thysmographs over the respiratory cycle and has been correlated with uid respon­siveness. However, it is not easily calculated from a bedside monitor. Pleth variability index (PVI), (Masimo Corp, Irvine, USA) is an accurate surrogate calculation for dPOP [38, 39]. It is a continuous, automatic calculation based on the plethysmo­graphic waveform and is used in conjunction with pulse oximetry monitoring.
Ventilation
To assess for ventilation qualitative clinical signs, such as chest excursion and auscul­tation may be benecial, but quantitative measurement is considered superior. This can be achieved through the measurement of end-tidal carbon dioxide via capnogra­phy and/or capnometry. These devices respectively provide waveforms and numerical measurements of end-tidal carbon dioxide, to evaluate the delivery of carbon dioxide back to the lungs via circulation [35, 40]. Thus, clinicians can glean information about a patient’s hemodynamic status, including cardiac output, from ventilation assessment.
Circulation
Every patient receiving anesthesia should have continuous electrocardiogram (ECG) monitoring and arterial blood pressure measurements at least every 5min [35]. Patients under general anesthesia should also have an additional mode of cir­culatory evaluation. This is most often done with plethysmographic waveform but can also be achieved with pulse palpation, cardiac auscultation, monitoring of arte­rial blood pressure tracing, or ultrasound of peripheral pulses.
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ECG monitoring conveys information regarding the heart rate and rhythm, in addition to allowing for the detection of cardiac ischemia and electrolyte derange­ments [41]. Typically, ve-electrode ECGs are used on patients in the operating room, allowing for monitoring of all limb leads and at least one precordial lead. Leads II and V5 are the most sensitive ones in detecting intraoperative myocardial ischemia and are typically displayed on the bedside monitor. Limitations to ECG analysis include improper lead placement and signal interference during electrocau­tery utilization.
Intraoperative hypotension increases the risk of postoperative morbidity and mortality. Thus, reliable and frequent blood pressure measurements are required during all surgeries. While the gold standard is arterial catheterization, cuff blood pressure measurements are more routinely used [1]. Cuffs measure blood pressure using oscillometry. This method relies on inating the cuff to supra-systolic pres­sures, slowly deating the cuff, and having a pressure transducer observe the oscil­lations produced as blood begins to ow within the artery [42]. The pressure at which maximum oscillations occur is the measured mean arterial pressure. Each cuff manufacturer has its own algorithm to calculate the systolic and diastolic pres­sures using the measured mean arterial pressure.
The cuff should be 80% of the length and 40% of the width of the extremity to be measured. Cuffs too small will result in pressure improperly elevated, and cuffs too large will result in pressure falsely low [43]. Measurements are typically done on the upper arm to record brachial artery pressures. For obese patients, nding an appropriately sized cuff may be challenging. Recently, it has been found that fore­arm cuff measurements may be more accurate than upper arm or lower leg cuff pressures in obese patients [44].
R. Madhani et al.
Temperature
Induction of anesthesia results in peripheral vasodilation and a reduction in core body temperature [45]. Patients can become hypothermic without appropriate warming and proper temperature monitoring. This can lead to complications includ­ing altered drug metabolism, prolonged recovery, and coagulopathy. Core tempera­ture can be measured from the nasopharynx, mouth, esophagus, or bladder.
Pulse Contour Analysis Devices
The pulmonary artery catheter and the Swan Ganz catheter have been employed far less in recent decades due to high risks associated with placement and maintenance [46]. According to the Society of Cardiovascular Anesthesiologists, the pulmonary artery catheter was used by 68% of respondents 75% of the time, but that it is usu­ally used with transesophageal echocardiography as an addition, and the decision is
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related to the geographical region and surgeon preference [47]. Pulmonary artery catheters have decreased in sales through the years while newer pulse contour anal­ysis devices have become more popular [48]. These are minimally invasive by sim­ply using a nger blood pressure cuff or thoracic electrical impedance. The system obtains a cardiac output value through calibration of heart rate multiplied by stroke volume. Stroke volume is obtained through the measurement of pressure, such that an estimated ow integrated over time is calculated to volume. The system provides cardiac output, stroke volume, stroke volume variation, systemic vascular resis­tance, and mean arterial pressure.
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Customized Information
The system is enabled to receive specic demographic data to tailor the algorithm for specic patients, such as providing an estimated cardiac output goal. The hemo­dynamic values can be applied to intraoperative hypotension and large volume changes. They are relatively easy to use and monitor screens display easily inter­preted trends. Well known products and manufacturers include FloTrac/Vigileo technology (Edwards LifeSciences, Irvine, CA, USA), ProAQT/PulsioFlex (Pulsion Medical Systems, Munich, Germany), LiDCOrapid system (Masimo Corp, Irvine, CA, USA), and pressure recording and analytic method MostCare Up (Vygon, Ecouen, France). ClearSight system (Edwards Lifesciences, Irvine, CA, USA) is comprised the ClearSight nger cuff and EV1000 clinical platform. These products often require an invasive arterial line, except for products similar to the ClearSight nger cuff [49].
Using indirect calculations to change pressure to volume, the data tends to con­tain errors, notably in patients with already low systemic vascular resistance. This combination would lead to even more inaccuracies in septic patients with depressed systemic vascular resistance. However better algorithms are constantly emerging, and the elimination of invasive access fosters the popularity of the pulse contour devices.
Cerebral Hemodynamics
In intracranial neurosurgical, cardiothoracic, and large intra-abdominal vascular cases, assessing cerebral autoregulation during surgery allows for not only immedi­ate information during intraoperative maneuvers, but provide short to long term benets, such as decreasing risk of stroke, postoperative delirium, and length of hospital stay [50]. These include somatosensory evoked potential (SSEP), transcra­nial Doppler ultrasonography, brain tissue oxygen monitor, intracranial pressure (ICP)—derived pressure reactivity index (PRx), brain tissue oxygen partial pressure (PbtO2), electroencephalography(EEG), and near-infrared spectroscopy (NIRS).