Relation between preoperative autonomic function and blood pressure change after tourniquet deflation during total knee replacement arthroplasty.

BACKGROUND: Tourniquets are used to provide a bloodless surgical field for extremities. Hypotension due to vasodilation and bleeding after tourniquet deflation is a common event. Hemodynamic stability is modulated by the autonomic nervous system (ANS). Heart rate variability (HRV) is a sensitive method for detecting individuals who may be at risk of hemodynamic instability during general anesthesia. The purpose of this study was to investigate ANS function to predict hypotension after tourniquet deflation.
METHODS: Eighty-six patients who underwent total knee replacement arthroplasty (TKRA) were studied. HRV, systolic blood pressure variability (SBPV) and baroreflex sensitivity (BRS) were analyzed. We assigned two groups depending on the lowest systolic blood pressure (SBP) or mean BP (MBP) after tourniquet release (Group H; SBP < 80 mmHg or MBP < 60 mmHg, Group S; SBP > 80 mmHg and MBP > 60 mmHg).
RESULTS: Fifteen patients developed severe hypotension and ten patients were treated with ephedrine. Of the parameters of HRV, SBPV, and BRS, only BRS(SEQ) was significant being low in Group H. BRS and high-frequency SBPV were correlated with the degree of MBP change after tourniquet deflation.
CONCLUSIONS: Preoperative low BRS is associated with hypotension after tourniquet deflation, suggesting the importance of baroreflex regulation for intraoperative hemodynamic stability.

Introduction

The pneumatic tourniquet is an integral part of the surgical procedure of the extremities [1]. Deflation of the tourniquet causes hypotension and the release of metabolites from the ischemic limb, and cardiac arrest may occur after tourniquet deflation in an unusual event [2,3]. No study has been attempted to evaluate the degree of decrease of blood pressure and the predictive factor of hypotension, despite the incidence of hypotension after tourniquet deflation. Intraoperative hemodynamic instability is a major concern for anesthesiologists during general anesthesia. Especially, it has been suggested that in elderly patients the mortality risk increases when the duration of hypotension becomes sufficiently long [4]. Therefore, determining the independent risk factor of hypotension may be of paramount importance for anesthetists when preparing elderly patients for anesthesia.

Systemic hemodynamic regulation is controlled by the autonomic nervous system (ANS) [5,6]. Noninvasive methods of measuring the activity of ANS include the analysis of heart rate variability (HRV), systolic blood pressure variability (SBPV) and baroreflex sensitivity (BRS) [6-8]. Studies have shown the predictive value of HRV for hypotension in patients undergoing caesarean section with spinal anesthesia or after induction of general anesthesia [9,10]. Hence, preoperative determination of autonomic regulation may be provided to detect a patient's risk of significant hemodynamic instability.

This study was designed to evaluate the predictive power of HRV, SBPV and BRS for tourniquet hypotension in patients undergoing total knee replacement arthroplasty (TKRA). We hypothesized that preoperative HRV, SBPV, and BRS differ between patients depending on the severity of hypotension after tourniquet deflation during TKRA.

Materials and Methods

After approval from the Institutional Ethics Committee of our Hospital, and written informed consents were obtained, eighty six patients scheduled to undergo TKRA during general anesthesia were studied. Not all patients received oral premedication but continued their medication for their underlying disease.

Patients were allowed to acclimatize for at least 10 min in the supine position in a quiet operating room at an ambient temperature. The radial artery was cannulated with a 22-guaze catheter, and after 10 minutes, the baseline beat-to-beat electrocardiography (ECG) and arterial blood pressure (BP) signal were recorded for 5 minutes before administration of any sedatives. Induction and maintenance of anesthesia were performed in a standardized manner in all patients. Anesthesia was induced with etomidate 0.2 mg/kg as a bolus and maintained with sevoflurane inhalation. Tracheal intubation was facilitated by infusion of rocuronium bromide 0.8 mg/kg. Remifentanil was continuously infused at 0.15 µg/kg/min until the trachea was intubated and then at 0.05-0.15 µg/kg/min to maintain blood pressure at ± 20% of preoperative value. Depth of anesthesia was monitored using the Bispectral Index (BIS) (BIS XP, Aspect Medical systems, Norwood, USA) aiming at a BIS level of under 60. If the BIS value exceeded 60, sevoflurane was increased stepwise by 0.2 vol%.

HRV, SBPV and BRS analysis were performed according to a previous report [11]. Beat-by-Beat ECG and arterial BP signals (Intellivue MP70, Phillps Medizinsystems, Boebligen, Germany) were digitized and collected at 500 samples per second using an online personal computer that interfaced with an analog-to-digital converter (DI-720U, DARAQ instruments, Akron, OH). Offline analysis was performed using signal processing software (CODAS, DATAQ;DADiSP/Adv DSP, DSP Development, Cambridge, MA) and custom-written MATLAB (The MathWoks, Inc., Natick, MA) scripts.

The R-R interval (RRI) was derived from the time difference between marks placed on the peaks of the R waves and systolic BP (SBP) was derived from the maxima of beat-by-beat arterial waveforms. Time-domain analysis of HRV was calculated from the root mean squared successive difference of RRI (RMSSD) and the percentage of successive adjacent RRI greater than 50 ms (pNN50). These parameters are the most frequently used and are thought to be related to the parasympathetic control of the heart [7]. For frequency domain analysis, 5 minutes data of beat-by-beat RRI and SBP were interpolated to 5 Hz to provide equidistant samples. The fast Fourier transformed power spectrum density, based on Welch's algorithm of averaging periodograms, was calculated for the filtered signals using a sliding window with a width of 500 points and an overlap of 250 points after detrending and application of Hanning window. The resulting five periodograms were averaged to produce the estimated spectrum. This method yields a frequency resolution of 0.01 Hz. The areas under the power spectrum in the low frequency (LF) and high frequency (HF) regions (defined as 0.04-0.15 Hz and 0.15-0.4 Hz, respectively) of HRV and SBPV were integrated [7]. In addition, the LF and HF components of HRV were measured in normalized units, which represent the relative value of each power component in proportion to the total power of the LF and HF bands. The HF power of HRV was used as a valid marker of vagal tone, and LF was considered as a sympathetic and parasympathetic control of heart rate [7]. SBPV was performed in the same manner as that of the frequency domain of HRV. The LF power of SBPV was used as an index of vascular sympathetic outflow and HF power was used as an index of the mechanical effect of respiration [6,12]. BRS was estimated from spontaneous beat-by-beat fluctuations in SBP and RRI. This study engaged frequency domain transfer function analysis and the time domain sequence method for quantifying BRS [11,13,14]. Briefly, the transfer function magnitude and coherence (the squared coherence function) between SBP and RRI were estimated using the cross spectral method [13]. We calculated the magnitude between HRV and SBPV separately as an index of BRS in the LF (BRSLF) and HF (BRSHF) regions, where coherence is more than 0.5. The sequence analysis identifies sequences of 3 or more consecutive heartbeats, in which both SBP and RRI concordantly increase or decrease, with the threshold at 1 mmHg and 4 ms, respectively [14]. The linear regression was applied between SBP and RRI. The regression slope was calculated for those sequences with the squared correlation coefficients exceeding 0.85. The sequence BRS (BRSSEQ) reflects the average regression slope for all the linear regressions plotted for the accepted baroreflex sequence within the 5 minutes data. The pneumatic tourniquet was inflated to 300 mmHg around the thigh prior to incision and was released after the TKRA instrument insertion. Patients were assigned to one of two groups depending on BP change followed by defining hypotension. BP was recorded as an absolute value. After tourniquet deflation, hypotension was defined as absolute MBP < 60 mmHg or the lowest SBP < 80 mmHg (H group, S group; SBP ≥ 80 mmHg and MBP ≥ 60 mmHg). Hypotension was treated in a standardized manner with 5 mg ephedrine and fluid replacement, repeated if necessary. The drug was administrated until MBP increased to 60 mmHg or greater. The amount of medication was recorded. HRV, SBPV and BRS were analyzed depending on the patient's group.

Comparisons between groups were made using students t-test for normally distributed continuous variables and the Mann-Whitney U-test for continuous variables that were not normally distributed. Pearson's correlation analysis was used to examine the correlations between hemodynamic variables and the degree of BP change after tourniquet deflation. Chi-square or the Fisher' exact test were used to compare the incidence of hypotension in patients with underlying disease or medication. To examine the predictors of the incidence of hypotension, logistic regression using the stepwise forward elimination procedure was performed. A P value < 0.05 was considered a significant difference.

Results

Fifteen patients of the study participants experienced hypotension after tourniquet release, and ten patients were treated with ephedrine (7 ± 3.50 mg). Patient medical characteristics and preoperative medications are shown in Table 1. Intraoperative anesthetic characteristics are listed in Table 2.

Table 1

Patients Medical Characteristics and Preoperative Medications

Values are mean ± SD and numbers of patients (%). Comparisons between the two groups were conducted using student t-test, Fisher's exact test, or Chi-square test. Group S: SBP ≥ 80 mmHg, and MBP ≥ 60 mmHg, Group H: SBP < 80 mmHg, or MBP < 60 mmHg, ACEI: Angiotensin converting enzyme inhibitors.

Table 2

Intraoperative Anesthetic Management

Values are mean ± SD. Comparisons between the two groups were conducted using the student t-test. Group S: SBP ≥ 80 mmHg, and MBP ≥ 60 mmHg, Group H: SBP < 80 mmHg, or MBP < 60 mmHg, MBP: mean blood pressure. *P < 0.05 is the statistically significant difference between the two groups.

A t-test and Mann-Whitney U-test analysis of all the variables showed that the two groups significantly differed in BRSSEQ, whereas other variables were similar (Table 3). Correlation analysis revealed that the extent of MBP change after tourniquet deflation negatively correlated with BRSLF (r = 0.258, p = 0.017), BRSHF (r = 0.231, p = 0.032), and BRSSEQ (r = 0.248, p = 0.021), and positively correlated with SBPVHF (r = 0.226, p = 0.036) (Fig. 1). However, the frequency domain variables of HRV and SBPV, except SBPHF, were not related with the extent of MBP reduction after tourniquet release.

Table 3

Perioperative Cardiovascular Variables

Values are mean ± SD. Group S: SBP ≥ 80 mmHg, and MBP ≥ 60 mmHg, Group H: SBP < 80 mmHg, or MBP < 60 mmHg, RRI: R-R intervals, VLF: very low frequency power, LF: low-frequency power, HF: high-frequency power, Ln: natural logarithmic-transformed power, nuLF: normalized low-frequency unit, nuHF: normalized high-frequency unit, BRSLF: baroreflex sensitivity at low-frequency, BRSHF: baroreflex sensitivity at high-frequency, BRSSEQ: baroreflex sensitivity by sequence method. Comparisons between the two groups were conducted using student t-test. *P < 0.05 is the statistically significant difference between the two groups.

Fig. 1

Correlation between BP change after tourniquet deflation and BRS and SBPVHF. BRS is negatively correlated and SBPVHF is positively correlated with blood pressure change after tourniquet release in total knee replacement arthroplasty. BRS: baroreflex sensitivity, LF: low-frequency, HF: high-frequency, SEQ: sequence method, SBPVHF: HF band in systolic blood pressure variability.

The univariate linear regression and multiple logistic regression analysis were not performed because the incidence rate was not sufficient and the power of the performed test is below the desired power (0.8).

Discussion

In this study, we investigated the relation between preoperative autonomic function and blood pressure change after pneumatic tourniquet deflation during TKRA. Fifteen patients (17%) were assigned to the H group after tourniquet deflation. The degree of BP change after tourniquet deflation is related to SBPVHF and BRS. The severe hypotension after tourniquet release is not predicted by preoperative autonomic function as measured by HRV, SBPV and BRS.

Hypotension is a well-known complication of tourniquet deflation and is associated with decrease systemic vascular resistance due to the removal of occlusion of artery, bleeding because of unligated vessel, release of ischemic tissue metabolite and hypovolemia [2]. The recovery of hypotension after tourniquet deflation is faster in general anesthesia than regional anesthesia, because of the blockade of the sympathetic nervous system [2,15]. There is evidence that hemodynamic instability during general anesthesia is associated with adverse outcomes in patients having non-cardiac disease [4,16]. Monk et al. [16] proved three independent factors for 1-year mortality following surgical procedure, thereafter one of the predictors was intra-operative hypotension. In that study, they found a relative mortality risk increase with 3.6% for every minute of hypotension that was defined by an SBP of less than 80 mmHg [16].

Systemic hemodynamic regulation is controlled by the ANS. Analysis of HRV, SBPV, and BRS is a noninvasive, indirect measure of autonomic regulation [7,12-14]. Alternation of ANS has also been reported in various medical conditions, such as aged person, hypertension, myocardial infarction and diabetes [6,17]. Latson et al. [17] documented that some degree of ANS dysfunction was common in patients older than 39 years old, and such dysfunction is related to an increased incidence of hypotension after anesthesia induction. We considered that some degree of ANS dysfunction was frequently developed in our study population. However, we did not compare this with younger people and we did not perform provocative tests, such as Valsalva maneuver and deep breathing test [7].

HRV is based on measuring the beat-to-beat interval of the sinus rhythm and might offer more insight into the physiological mechanisms of autonomic cardiovascular control [7,8,18]. RMSSD, pNN50, and HF reflect the parasympathetic activity of heart rate modulation and the LF is influenced by the baroreceptor system that reflects the sympathetic as well as parasympathetic nervous system and the LF/HF ratio reflects a parameter of sympatho-vagal balance [7,18]. Recently, HRV has been shown to be a reliable tool to predict hypotension after the induction of general anesthesia or spinal anesthesia [9,10,19]. In this study, HRV did not differ between the two groups, and there was also no correlation between HRV and BP change after tourniquet deflation. This study reported conflicting results with the other study. We assumed that underlying medical conditions and medications may have affected HRV. Diabetes and medications, such as beta-blocker, calcium channel blocker, or angiotensin converting enzyme inhibitor, include exclusion criteria in other studies [9,10]. There was no difference between the two groups in underlying disease and medications in the present study, and these factors were neglected in both groups. However, the relationship between the duration of underlying disease and HRV cannot be discussed, because this information was not available in the present study. Our study population was older than that of other studies, and therefore the decreased HRV might not provide discrimination. Other studies are concerned with the relation of HRV and hemodynamic change at induction or after spinal anesthesia, which are considered more vital change than tourniquet deflation [9,10,19].

SBPV is equally important to HRV, but remains largely unknown in general anesthesia. SBPV elicited by sympathetic modulation of vascular tone occurs in the LF band and respiration induced mechanical effect produces the HF band [20]. SBPVHF was positively correlated with MBP change after tourniquet release in the present study. SBPVHF reflects the stroke volume change by changing intrathoracic pressure during respiration and is closely related to HF in HRV [20]. Although it is not well defined in spontaneous respiration, systolic pressure variation (SPV), the difference between maximal and minimal systolic pressure during single mechanical breath, has been known to be a cardiac preload, and it is considered as SBPVHF [20,21]. Therefore, greater SBPVHF may reflect a reduction of preload in the preoperative period and consequently induce a greater BP change after tourniquet deflation. However, we should evaluate the effectiveness of SBPVHF and SPV as preload indexes in spontaneous breathing.

BRS is a powerful negative feedback reflex that attempts to control the fluctuation of BP. The primary mechanism of BP homeostasis by BRS is through the effects on both the parasympathetic and sympathetic branches of ANS [22]. Baroreflex abnormalities have been described early in the course of diabetes and hypertension [22,23]. Several methods are available to assess the BRS, and we engaged two distinct methods for assessing BRS, the sequence method and transfer function [13,14,24]. BRSLF, BRSHF, and BRSSEQ were negatively correlated with MBP change after tourniquet deflation and BRSSEQ was significantly lower in patients who developed hypotension than in those who did not. It has been suggested that lower BRS induces greater BP change, because BRS relates to homeostasis in BP. Namely, a greater BRS means a greater ability of maintenance BP and may induce less change of BP after tourniquet deflation, though under the sevoflurane anesthesia. Sevoflurane significantly depressed BRS [25], and therefore we should assess the BRS during anesthesia and before tourniquet deflation.

There were several limitations to this study. First, preoperative cardiovascular variables are obtained in the operation room before surgery. Thus, withholding sedatives may be allowed to contribute to hypertension and tachycardia and to induce the alteration of these parameters. Second, 89.5 percent of participants were old-aged females, and therefore the present results may not extrapolate to other populations. Third, our study includes a small number of patients with underlying diseases. These diseases may be a confounding factor of the result, even though incidence of disease did not differ in this study. Further study should consider the diabetes and myocardial infarction, etc. Finally, we did not examine the relation between postoperative complication and intraoperative hypotension. Hypotension after tourniquet deflation is transient, but the extent of hypotension may be affected by postoperative delirium or cardiac event in an old aged person.

In summary, our data supports the premise that BRS and SBPVHF are correlated with blood pressure change after tourniquet release. Preoperative low BRS is associated with hypotension after tourniquet deflation, suggesting the importance of baroreflex regulation for intraoperative hemodynamic stability. Future studies will be required to ascertain how to predict hypotension of tourniquet deflation in preoperative hemodynamic variables, such as HRV, SBPV, and BRS.