Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Baroreflex sensitivity and outcomes following coronary surgery

  • Marco Ranucci ,

    cardioanestesia@virgilio.it

    Affiliation Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, Milan, Italy

  • Alberto Porta,

    Affiliations Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, Milan, Italy, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy

  • Vlasta Bari,

    Affiliation Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, Milan, Italy

  • Valeria Pistuddi,

    Affiliation Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, Milan, Italy

  • Maria Teresa La Rovere

    Affiliation Department of Cardiology, IRCCS Istituti Clinici Scientifici Maugeri, Istituto di Montescano, Montescano, Pavia, Italy

Correction

12 Feb 2018: Ranucci M, Porta A, Bari V, Pistuddi V, La Rovere MT (2018) Correction: Baroreflex sensitivity and outcomes following coronary surgery. PLOS ONE 13(2): e0193038. https://doi.org/10.1371/journal.pone.0193038 View correction

Abstract

Postoperative atrial fibrillation, acute kidney dysfunction and low cardiac output following coronary surgery are associated with morbidity and mortality. The purpose of this study is to determine if the preoperative autonomic control is a determinant of these postoperative complications. This is a prospective cohort study on 150 adult patients undergoing surgical coronary revascularization with cardiopulmonary bypass. The patients received an autonomic control assessment after the induction of anesthesia. Baroreflex sensitivity was computed by spectral analysis and expressed as BRSαHF and BRSαLF for measure respectively in the high and low frequency domains. Atrial fibrillation was adjudicated at any postoperative time during the hospital stay. Acute kidney dysfunction was defined as any increase of serum creatinine levels from preoperative values within the first 48 hours after surgery, and acute kidney injury was adjudicated at a 50% increase. Low cardiac ouput syndrome was defined as the need for inotropic support > 48 hours. Thirty-eight (26.4%) patients experienced postoperative atrial fibrillation; 32 (22.2%) had acute kidney dysfunction and 5 (3.5%) acute kidney injury; 14(10%) had a low cardiac output state. No indices of baroreflex sensitivity were associated with atrial fibrillation or acute kidney injury. A low value of BRSαLF was associated with acute kidney dysfunction and low cardiac output state. A BRSαLF < 3 msec/mmHg was an independent risk factor for acute kidney dysfunction (odds ratio 3.0, 95% confidence interval 1.02–8.8, P = 0.045) and of low cardiac output state (odds ratio 17.0, 95% confidence interval 2.9–99, P = 0.002). Preoperative baroreflex sensitivity is linked to postoperative complications through a number of possible mechanisms, including an autonomic nervous system-mediated vasoconstriction, a poor response to hypotension, and an increased inflammatory reaction.

Introduction

The arterial baroreflex is an important determinant of the neural regulation of the cardiovascular system. A reduction in the baroreceptor-heart rate reflex (i.e., baroreflex sensitivity, BRS), has been reported in hypertension, coronary artery disease, myocardial infarction and heart failure. [1] The majority of the studies have shown that lower BRS values are associated with higher cardiovascular disease-related mortality. [24] More specifically, it has been recently suggested that a cut-off value around 3 ms/mmHg—a threshold rather constant through different methodologies—can be viewed as a biological threshold for the functioning of the baroreflex. [2, 5]

A maladaptation of the autonomic nervous system (ANS) is involved in a number of post-surgical complications including atrial fibrillation (AF), acute kidney dysfunction (AKD), and injury (AKI), and low cardiac output syndrome (LCOS).

In cardiac surgery, new onset AF can be found in approximately 20% to 40% of the patient population depending on the type of surgery and the patient profile, [6,7] and it is accompanied by an increased risk of stroke and prolonged intensive care unit and hospital stay. [8] The ANS has been previously identified as an important determinant of AF [9]; however, studies analysing autonomic fluctuations preceding the onset of post-operative AF [10, 11] yielded conflicting results. [1215]

In addition to cardiac function, the ANS is also involved in the modulation of kidney function. [16] Depending on the definitions, AKI can be found in 2%-20% of the patient population, and is invariably associated with an increased immediate and long-term mortality. [17, 18] Similarly to AF, the aetiology of renal dysfunction associated with cardiac surgery is multifactorial including operative and post-operative factors (ischemia-reperfusion injury, inflammation and oxidative stress). However, no data exist on the potential role of the autonomic control in the pathogenesis of post-operative kidney dysfunction.

Following cardiac surgery, LCOS is observed in up to 20% of the patients. [19] The inability of the ANS to activate effective circulatory reflexes to maintain hemodynamic stability is a feature of LCOS. While it is well-recognized that cardiovascular autonomic neuropathy in diabetic patients may result in unexpected hemodynamic instability during surgery, [20] very few studies have analyzed the impact of autonomic dysfunction on post/peri-operative outcomes in a general population or in cardiac surgery patients. [21, 22]

The experimental hypothesis of the present study is that the preoperative autonomic control, defined in terms of BRS, may be an independent determinant of AF, renal function impairment, and LCOS following cardiac surgery.

Methods

Prospective cohort study performed according to the declaration of Helsinki. The study design was approved by the Local Ethics Committee (Ethics Committee San Raffaele Hospital, Milan). All the patients gave a written informed consent.

Patients

The study population was constituted by 150 adult (> 18 years) patients undergoing elective or urgent coronary artery bypass graft (CABG) surgery with cardiopulmonary bypass (CPB). Exclusion criteria were emergency surgery, known ANS pathology, non-sinus rhythm. Withdrawal criteria were mortality within the first 48 hours from surgery and technical impossibility of recording post-anesthesia induction data.

Anesthesia

According to our standard practice, the patients received a premedication with intramuscular atropine (0.5 mg) and fentanyl (100 μg) about 1 hour before reaching the operating theater. Anesthesia was induced with an intravenous bolus injection of propofol at 1.5 mg.kg-1 and infusion of remifentanil 0.2 μg.kg-1.min-1. Maintenance of anesthesia was achieved with a continuous infusion of propofol at 3 mg.kg-1.h-1 and a remifentanil infusion range from 0.05 to 0.5 μg.kg-1.min-1. Additional inhalatory agents (sevorane) could be used as requested.

Clinical data collection and definitions

Preoperative data included demographics, co-morbidities, serum creatinine value (mg/dL), cardiovascular profile, and mortality risk stratification using the European System for Cardiac Operative Risk Evaluation (EuroSCORE II). Intraoperative data included the presence of additional surgical procedures, lowest temperature on CPB, and CPB duration. Postoperative data included in-hospital mortality, need for postoperative inotropic support, mechanical ventilation time (hours), intensive care unit (ICU) and hospital stay (days). The presence of AF was adjudicated in case of any AF event recorded during the postoperative period, from the admission to the ICU to the hospital discharge, and detected by continuous ECG monitoring during the ICU stay or by daily ECG control after discharge from the ICU.

Postoperative renal dysfunction was assessed based on the peak postoperative serum creatinine level within 48 hours from surgery. The presence of AKI was adjudicated according to the Acute Kidney Injury Network criteria as AKI stage 1 (50% increase in peak postoperative serum creatinine from baseline value or an absolute increase > 0.3 mg/dL) or higher stages, within 48 hours from surgery. AKD was defined as any increase in serum creatinine value from baseline within 48 hours from surgery. LCOS was defined as the need for inotropic support for more than 48 hours after surgery.

Experimental data collection and definitions

The experimental protocol was already described in details. [23] Lead II ECG and arterial pressure, invasively derived from the radial artery, were acquired from patient’s monitor, through an A/D board (National Instruments, Austin, Tx) connected to a laptop. Data were recorded after the induction of general anesthesia.

The sampling frequency was 1000 Hz and the recording session lasted 10 minutes.

The beat-to-beat series of R-R interval (R-R) and systolic arterial pressure (SAP) were extracted during the entire recording period from ECG and arterial pressure respectively. R-R and SAP mean and variance were extracted and expressed in milliseconds (ms), mmHg, ms2 and mmHg2. Power spectral density was estimated through a parametric approach. [24] A spectral component was labeled as low frequency (LF) or high frequency (HF) if its central frequency was between 0.04 and 0.15 Hz or between 0.15 and 0.5 Hz, respectively.

BRS was evaluated through spectral approach. [25] BRS was computed as the square root of the ratio of the LF of R-R to the LF of SAP, or the HF to the HF of SAP, and indicated as BRSαLF and BRSαHF respectively, and expressed as ms/mmHg.

Statistics

Data are presented as median with interquartile range for continuous, non-normally distributed variables, and as number with percentage for dichotomous variables. Normality assumption was tested using a Kolmogorov-Smirnov test. The difference between the recorded parameters in the AF and non-AF, AKD/AKI and non-AKD/AKI, and LCOS and non-LCOS groups was investigated at an univariate analysis using parametric (Student’s t test) and non-parametric (Mann Whitney U test) tests as appropriate. Differences in dichotomous variables frequencies were tested with a Fisher’s exact test or Pearson’s chi square as appropriate. The predictive ability of the identified variables was tested with a receiver operating characteristics (ROC) analysis, producing areas under the curve (AUC). Adequate cut-off values were identified according to the best coupling of sensitivity and specificity values with the pre-requisite of a specificity of t least 90%.

A subsequent multivariable analysis (logistic regression) was applied to the BRS dichotomized according to the identified cut-off value, and to all the factors having an association with the outcome variables at a P value of 0.05 or less. For each outcome, the independent risk factors were identified and expressed as odds ratios and 95% confidence interval. For all the statistical tests, a P value < 0.05 was considered statistically significant. All the statistical analyses were performed with computerized packages (SPSS 13.0, IBM, Chicago, IL, and MedCalc, MedCalc Software, Ostend, Belgium).

Results

The general characteristics of the patients population are depicted in Tables 1 and 2. Out of the 150 patients enrolled, autonomic control parameters were computed in 144 patients who constituted the study population. In the remaining 6 patients it was not possible to extract the variability indices due to frequent arrhythmias or bad arterial pressure recording. Thirty-eight (26.4%) patients experienced at least one episode of postoperative AF, and 14 (9.7%) a LCOS, whereas 32 (22.2%) fulfilled the criteria for AKD and 7 (4.8%) those for AKI. Patients with AKD had a significantly lower hematocrit and higher EuroSCORE II; they experienced a longer mechanical ventilation time and ICU stay; patients with AKI had the same profile plus a significantly smaller weight.

thumbnail
Table 1. Patient characteristics, surgical details, and outcome in the overall patient population (N = 144) and according to the presence of AKD and AKI.

https://doi.org/10.1371/journal.pone.0175008.t001

thumbnail
Table 2. Patient characteristics, surgical details, and outcome in the overall patient population (N = 144) and according to the presence of LCOS and AF.

https://doi.org/10.1371/journal.pone.0175008.t002

Patients with LCOS had a significantly lower ejection fraction, higher serum creatinine values and EuroSCORE II, and were significantly more likely to receive an associated mitral valve repair. They had a significantly longer mechanical ventilation time, ICU stay, and hospital stay. Patients with AF were significantly older, more often females and with a lower hematocrit, and had a significantly longer ICU and hospital stay.

Table 3 reports the BRS data in patients with or without AKD, AKI, LCOS and AF. Overall, BRS in the HF domain was not significantly different in patients with or without any of the considered bad outcomes. Conversely, patients who experienced an AKD had significantly (P = 0.006) lower levels of BRS in the low frequency domain (αLF) and the same applies (P = 0.029) to patients who experienced an LCOS.

thumbnail
Table 3. BRS in the overall patient population (N = 144) and according to the presence of cardiac complications.

https://doi.org/10.1371/journal.pone.0175008.t003

The predictive properties of BRSαLF for AKD and LCOS were investigated with an ROC analysis (Fig 1). The discriminatory power was moderate for both the outcomes (AUC 0.66 and 0.70 respectively). The best cut-off value for BRSαLF as predictor of AKD was identified at 2.83 ms/mmHg and as predictor of LCOS 2.65 ms/mmHg. Therefore, the αLF was dichotomized at a level < 3.0 ms/mmHg given the correspondence with a well-validated value. [5] Twenty patients had a BRSαLF < 3.0 ms/mmHg. These patients were significantly (P = 0.002) older than those with a BRSαLF ≥ 3.0 ms/mmHg (72.4±9.5 years vs. 65.2±9.5 years). No other significant differences were noticed.

thumbnail
Fig 1. Receiver operating characteristics curve of BRSαLF as predictor of acute kidney dysfunction and low cardiac output state.

Receiver operating characteristics curve of BRSαLF (baroreflex sensitivity low frequency) as predictor of acute kidney dysfunction (panel A) and low cardiac output state (panel B). AUC: area under the curve.

https://doi.org/10.1371/journal.pone.0175008.g001

The multivariable predictive models for AKD and LCOS are reported in Table 4. After correction for the other confounders (those significantly associated with the outcomes plus age as an adjustment factor), a BRSαLF < 3.0 ms/mmHg remained an independent predictor of AKD (odds ratio 3.0, 95% confidence interval 1.02–8.8, P = 0.045) and LCOS (odds ratio 17, 95% confidence interval 2.9–99, P = 0.002).

thumbnail
Table 4. Multivariable models (logistic regression analysis) for acute kidney dysfunction and low cardiac output state.

https://doi.org/10.1371/journal.pone.0175008.t004

Discussion

The main results of our study are: (i) BRS as determined by the αHF is not associated with any of the considered outcomes, (ii) conversely, the BRSαLF is an independent predictor of AKD and LCOS, and (iii) postoperative AF is not associated with preoperative measures of BRS.

Even if negative with respect to AF, our study offers new insights into the role of baroreflex dysfunction in the development of clinical complications following cardiac surgery. Impaired baroreflex function results in increased sympathetic activity and vagal withdrawal. Several mechanisms can account for the detrimental effects of a depressed BRS (in the context of cardiac surgery). Besides the well-known electrophysiological effects of vagal and sympathetic activity, [26] baroreflex mediated increase in sympathetic activity and/or reduced vagal activity may contribute to increased end-organ damage and to the progression of the underlying disease. Experimental studies in animal models of BRS dysfunction induced by sino-aortic denervation provide clues into the functional and molecular consequences of autonomic dysregulation. In one study, in rats with a previous myocardial infarction, baroreceptor denervation was associated with a worse cardiac remodeling and increased mortality. [27] In a similar model but with intact hearts, baroreceptor denervation resulted in diastolic dysfunction associated with a reduction of the expression of the regulatory proteins involved in Ca2+ homeostasis. [28] Ackland and associates [29] analyzed molecular mechanisms linking autonomic dysfunction with poor clinical outcomes in the post-operative state in rats and found that baroreceptor denervation was associated with increased cardiac oxidative stress and impaired inotropic response through G-protein-coupled receptor kinase 2 (GRK2) upregulation. [29] The same Authors provided the clinical counterpart of this observation in a group of patients undergoing major surgery. [29] They found that the presence of parasympathetic dysfunction was associated with both a higher rate of post-operative complications and increased GRK2 expression in circulating mononuclear cells obtained preoperatively.

The exquisite sensitivity of baroreceptors to changes in arterial pressure implies that baroreflex mechanisms come into play any time a concurrent pathological event results in a transient decline in blood pressure. The sequence of events initiated by hypotension leads to a vagal withdrawal and to a generalized increase in sympathetic activity that favours a return of arterial pressure toward normal. On this background, inadequate baroreflex-mediated sympatho-excitation during a rapid rhythm [30] or an infectious disease [31] may be the leading cause of an unfavourable hemodynamic profile. Actually, in patients with post-infarction sustained ventricular tachycardia (VT), those patients presenting with syncope or signs of shock during the VT had a significantly lower BRS than patients who tolerated the arrhythmia. Only BRS, but not age or left ventricular function was related to the hemodynamic tolerability of the VT. [32] Moreover, a depressed BRS was also found as an independent predictor of mortality in post-myocardial infarction patients with preserved left ventricular function. [33]

All the above mentioned mechanisms may account for the independent association between BRS and LCOS found in our study. Of notice, BRSαLF remains independently associated with LCOS even after correction for the preoperative factor (left ventricular ejection fraction) generally considered the main predictor of LCOS.

The second finding of our study is the independent association of BRSαLF with AKD. Although the limited number of events (seven) did not allow to find associations between the BRSαLF and the more clinically relevant pattern of AKI stage 1, the finding of an independent association between BRS and minor degrees of renal dysfunction is not deprived of clinical relevance. As a matter of fact, even a minimal increase of serum creatinine levels after cardiac surgery is a determinant of increased early and long-term mortality. [34] AKD in patients with a low BRS may be a consequence of a low cardiac output state and/or of a kidney vasculature vasoconstriction and reduced renal blood flow. However, other interpretations are possible. Increasing evidence highlights the role of the vagus nerve in the regulation of immune function and inflammation through the "cholinergic anti-inflammatory pathway". [35] Among the several factors implicated in the pathogenesis of cardiac surgery-associated renal dysfunction, release of inflammatory mediators plays a significant role. A recent study demonstrated a protective effect of vagus nerve stimulation with activation of the cholinergic anti-inflammatory pathway in the ischemia reperfusion model of acute kidney injury. [36]

Our data support a recent study in high-risk surgical patients showing that baroreflex dysfunction might contribute to the development of post-operative morbidity. [22] The cut-off value for a depressed BRS in this study was set at < 6 ms/mmHg, higher than the one of the present study, and the cut-off for severely depressed BRS was set at < 3 ms/mmHg, like in our series. The differences in BRS measuring techniques (the sequence method technique in the study of Toner and associates [22], and the spectral method in ours) can account for this difference. Moreover, all our patients undergoing cardiac surgery had coronary artery disease. Although only a limited proportion had a previous myocardial infarction or heart failure, a depressed BRS has been documented also in isolated even asymptomatic coronary artery disease [37, 38].

Limitations and clinical implications

There are some limitations in our study. The patient population was at low risk and many co-morbidities were probably underestimated being consequently a possible source of undetected bias. The low rate of AKI events did not allow us for a comprehensive statistical analysis. Finally, the reader must consider that the measurements done were certainly affected by the effects of anesthesia drugs, and namely by propofol, which is known to depress BRS. [23] For future studies, it would be highly informative to obtain autonomic nervous system parameters in the conscious patient days before surgery.

Although the present study, lacking a prospective validation, should be mainly regarded as a “proof of concept” study, we can draw some clinical considerations. By anticipating the assessment of BRS at an earlier stage in the evaluation of candidates to cardiac surgery, this would allow to take advantage of a number of measures that can improve the autonomic balance. Exercise training is known to improve BRS [39] even in the elderly, [40] and experience on the effects of a pre-operative exercise-based rehabilitation program are currently ongoing. [41] While exercise training might not be practicable on an extensive basis in the cardiac surgery population, the emerging opportunity of non-invasively modulating the parasympathetic outflow to the heart by a transcutaneous device ay the auricular level deserves to be assessed in next future. [36, 42]

Supporting information

S1 File. BRS original data set.

Original data set including all variables for the overall population (N = 144).

https://doi.org/10.1371/journal.pone.0175008.s001

(SAV)

Acknowledgments

Marco Ranucci designed the study, performed the statistical analysis and wrote the manuscript; Alberto Porta designed the study and analyzed the autonomic nervous system signals; Vlasta Bari collected and analyzed the autonomic nervous system signals; Valeria Pistuddi collected the autonomic nervous system signals; Maria Teresa La Rovere critically review the data and wrote the manuscript. No additional contributors are to be acknowledged.

Author Contributions

  1. Conceptualization: MR AP VB.
  2. Data curation: VP.
  3. Formal analysis: MR MTLR.
  4. Investigation: VB VP.
  5. Methodology: AP VB.
  6. Software: AP VB VP.
  7. Supervision: AP MTLR.
  8. Validation: MR MTLR.
  9. Visualization: MR.
  10. Writing – original draft: MR MTLR.
  11. Writing – review & editing: MR MTLR.

References

  1. 1. La Rovere MT, Pinna GD, Raczak G. Baroreflex sensitivity: measurement and clinical implications. (2008) Ann Noninvasive Electrocardiol 13: 191–207. pmid:18426445
  2. 2. La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) Investigators. (1998) Lancet 351: 478–84. pmid:9482439
  3. 3. Gerritsen J, Dekker JM, TenVoorde BJ, Kostense PJ, Heine RJ, Bouter LM, et al. (2001) Impaired autonomic function is associated with increased mortality, especially in subjects with diabetes, hypertension, or a history of cardiovascular disease: the Hoorn Study. Diabetes Care 24:1793–8. pmid:11574444
  4. 4. Pinna GD, Maestri R, Capomolla S, Febo O, Robbi E, Cobelli F, et al. (2005) Applicability and clinical relevance of the transfer function method in the assessment of baroreflex sensitivity in heart failure patients. J Am Coll Cardiol 46: 1314–21. pmid:16198850
  5. 5. Gouveia S, Scotto MG, Pinna GD, Maestri R, La Rovere MT, Ferreira PJ. (2015) Spontaneous baroreceptor reflex sensitivity for risk stratification of heart failure patients: optimal cut-off and age effects. Clin Sci (Lond) 129:1163–72.
  6. 6. Zaman AG, Archbold A, Helft G, Paul EA, Gurzen NP, Mills PG. (2000) Atrial fibrillation after coronary artery bypass surgery: a model for preoperative risk stratification. Circulation 101:1403–8. pmid:10736284
  7. 7. Almassi GH, Schowalter T, Nicolosi AC, Aggarwal A, Moritz TE, Henderson WG, et al. (1997) Atrial fibrillation after cardiac surgery: a major morbid event? Ann Surg 226: 501–13. pmid:9351718
  8. 8. Villareal RP, Hariharan R, Liu BC, Kar B, Lee VV, Elayda M, et al. (2004) Postoperative atrial fibrillation and mortality after coronary artery bypass surgery. J Am Coll Cardiol 43: 742–8. pmid:14998610
  9. 9. Coumel P. (1994) Paroxymal atrial fibrillation: a disorder of autonomic tone? Eur Heart J 15 Suppl A: 9–16.
  10. 10. Hogue CW Jr, Domitrovich PP, Stein PK, Despotis GD, Re L, Schuessler RB, et al. (1998) RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery. Circulation 98:429–34. pmid:9714093
  11. 11. Dimmer C, Tavernier R, Gjorgov N, Van Nooten G, Clement DL, Jordaens L. et al. (1998) Variations of autonomic tone preceding onset of atrial fibrillation after coronary artery bypass grafting. Am J Cardiol 82:22–5. pmid:9671003
  12. 12. Jidéus L, Ericson M, Stridsberg M, Nilsson L, Blomström P, Blomström-Lundqvist C. et al. (2001) Diminished circadian variation in heart rate variability before surgery in patients developing postoperative atrial fibrillation. Scandinavian Cardiovascular Journal 35: 238–44. pmid:11759117
  13. 13. Hakala T, Vanninen E, Hedman A, Hippeläinen M. (2002) Analysis of heart rate variability does not identify the patients at risk of atrial fibrillation after coronary artery bypass grafting. Scand Cardiovasc J 36: 167–71. pmid:12079637
  14. 14. Chamchad D, Djaiani G, Jung HJ, Nakhamchik L, Carroll J, Horrow JC. (2006) Nonlinear heart rate variability analysis may predict atrial fibrillation after coronary artery bypass grafting. Anesth Anal 103:1109–12.
  15. 15. Bauernschmitt R, Malberg H, Wessel N, Brockmann G, Wildhirt SM, Kopp B, et al. (2007) Autonomic control in patients experiencing atrial fibrillation after cardiac surgery. Pacing Clin Electrophysiol 30: 77–84. pmid:17241319
  16. 16. Johns EJ, Kopp UC, DiBona GF. (2011) Neural control of renal function. Comprehensive Physiology 1: 731–67. pmid:23737201
  17. 17. Mangano CM, Diamondstone LS, Ramsay JG, Aggarwal A, Herskowitz A, Mangano DT. (1998) Renal dysfunction after myocardial revascularization: risk factors, adverse outcomes, and hospital resources utilization. Ann Intern Med 128: 194–203. pmid:9454527
  18. 18. Provenchere S, Plantefeve G, Hufnagel G, Vicaut E, De Vaumas C, Lecharny JB, et al. (2003) Renal dysfunction after cardiac surgery with normothermic cardiopulmonary bypass: incidence, risk factors, and effect on clinical outcome. Anesth Anal 96: 1258–64.
  19. 19. Mebazaa A, Pitsis AA, Rudiger A, Toller W, Longrois D, Ricksten SE, et al. (2010) Clinical review: practical recommendations on the management of perioperative heart failure in cardiac surgery. Crit Care 14:201. pmid:20497611
  20. 20. Lankhorst S, Keet SW, Bulte CS, Boer C. (2015) The impact of autonomic dysfunction on peri-operative cardiovascular complications. Anaesthesia 70:336–43. pmid:25303176
  21. 21. Deschamps A, Denault A, Rochon A, Cogan J, Pagé P, D'Antono B. (2013) Evaluation of autonomic reserves in cardiac surgery patients. J Cardiothorac Vasc Anesth 27:485–93 pmid:23036623
  22. 22. Toner A, Jenkins N, Ackland GL; POM-O Study Investigators. (2016) Baroreflex impairment and morbidity after major surgery. Br J Anaesth117:324–31. pmid:27543527
  23. 23. Porta A, Bari V, Bassani T, Marchi A, Pistuddi V, Ranucci M. (2013) Model-based causal closed-loop approach to the estimate of baroreflex sensitivity during propofol anesthesia in patients undergoing coronary artery bypass graft. J Appl Physiol (1985) 115:1032–42. pmid:23869064
  24. 24. Baselli G, Cerutti S, Civardi S, Lombardi F, Malliani A, Merri M, et al. (1987) Heart rate variability signal processing: A quantitative approach as an aid to diagnosis in cardiovascular pathologies. Int J Biomed Comput. 20:51–70. pmid:3557695
  25. 25. Pagani M, Somers V, Furlan R, Dell'Orto S, Conway J, Baselli G, et al. (1988) Changes in autonomic regulation induced by physical training in mild hypertension. Hypertension 12:600–10. pmid:3203964
  26. 26. Vaseghi M, Shivkumar K. (2008) The role of the autonomic nervous system in sudden cardiac death. Prog Cardiovasc Dis 2008; 50: 404–19 pmid:18474284
  27. 27. Mostarda C, Rodrigues B, Vane M, Moreira ED, Rosa KT, Moraes-Silva IC, et al. (2010) Autonomic impairment after myocardial infarction: role in cardiac remodelling and mortality. Clin Exp Pharmacol Physiol. 37:447–52. pmid:19878213
  28. 28. Mostarda C, Moraes-Silva IC, Moreira ED, Medeiros A, Piratello AC, Consolim-Colombo FM, et al. (2011) Baroreflex sensitivity impairment is associated with cardiac diastolic dysfunction in rats. J Card Fail 17:519–25. pmid:21624741
  29. 29. Ackland GL, Whittle J, Toner A, Machhada A, Del Arroyo AG, Sciuso A, et al. (2016) Molecular Mechanisms Linking Autonomic Dysfunction and Impaired Cardiac Contractility in Critical Illness. Crit Care Med 44:e614–24. pmid:26950003
  30. 30. Smith ML, Carlson MD, Thames MD. (1992) Reflex control of the heart and circulation: implications for cardiovascular electrophysiology. J Cardiovasc Electrophysiol 2: 441–449
  31. 31. Shen FM, Guan YF, Xie HH, Su DF. (2004) Arterial baroreflex function determines the survival time in lipopolysaccharide-induced shock in rats. Shock. 21:556–60. pmid:15167685
  32. 32. Landolina M, Mantica M, Pessano P, Manfredini R, Foresti A, Schwartz PJ, et al. (1997) Impaired baroreflex sensitivity is correlated with hemodynamic deterioration of sustained ventricular tachycardia. J Am Coll Cardiol 29:568–75. pmid:9060895
  33. 33. De Ferrari GM, Sanzo A, Bertoletti A, Specchia G, Vanoli E, Schwartz PJ. (2007) Baroreflex sensitivity predicts long-term cardiovascular mortality after myocardial infarction even in patients with preserved left ventricular function. J Am Coll Cardiol 50:2285–90. pmid:18068036
  34. 34. Liotta M, Olsson D, Sartipy U, Holzmann MJ. (2014) Minimal changes in postoperative creatinine values and early and late mortality and cardiovascular events after coronary artery bypass grafting. Am J Cardiol 113: 70–5. pmid:24176074
  35. 35. Pavlov VA, Tracey KJ. (2012) The vagus nerve and the inflammatory reflex—linking immunity and metabolism. Nat Rev Endocrinol 8:743–54. pmid:23169440
  36. 36. Inoue T, Rosin DL, Okusa MD. (2016) CAPing inflammation and acute kidney injury. Kidney Int 90:462–5 pmid:27521104
  37. 37. Katsube Y, Saro H, Naka M, Kim BH, Kinoshita N, Koretsune Y, et al. (1996) Decreased baroreflex sensitivity in patients with stable coronary artery disease is correlated with the severity of coronary narrowing. Am J Cardiol 78:1007–10. pmid:8916479
  38. 38. Simula S, Laitinen T, Vanninen E, Pajunen P, Syvänne M, Hedman A, et al. (2013) Baroreflex sensitivity in asymptomatic coronary atherosclerosis. Clin Physiol Funct Imaging 33:70–4. pmid:23216768
  39. 39. La Rovere MT, Bersano C, Gnemmi M, Specchia G, Schwartz PJ. (2002) Exercise-induced increase in baroreflex sensitivity predicts improved prognosis after myocardial infarction. Circulation 106:945–9. pmid:12186798
  40. 40. La Rovere MT, Pinna GD. (2014) Beneficial effects of physical activity on baroreflex control in the elderly. Ann Noninvasive Electrocardiol 19:303–10. pmid:24844457
  41. 41. Stammers AN, Kehler DS, Afilalo J, Avery LJ, Bagshaw SM, Grocott HP, et al. (2015) Protocol for the PREHAB study-Pre-operative Rehabilitation for reduction of Hospitalization After coronary Bypass and valvular surgery: a randomised controlled trial. BMJ Open 5:e007250. pmid:25753362
  42. 42. Clancy JA, Mary DA, Witte KK, Greenwood JP, Deuchars SA, Deuchars J. (2014) Non-invasive vagus nerve stimulation in healthy humans reduces sympathetic nerve activity. Brain Stimul 7:871–7. pmid:25164906