Thoracic Bioimpedance Research Articles

#2118 Monitoring hemodynamics in dialysis: on the feasibility of semi-continuous and multifrequency thoracic bioimpedance measurements by a wearable device

Abstract Background and Aims Hemodialysis patients face a high hemodynamic variability in blood pressure and fluid status, which contributes to their cardiovascular mortality. Currently, intradialytic hemodynamic monitoring has to rely on cuff-based blood pressure measurements. During the interdialytic interval, no monitoring system is applied. An interesting alternative to monitor hemodynamics continuously can be found in the bioimpedance technique, and more specifically in bioimpedance measurements of the thoracic segment. Repeated single-point measurements of thoracic bioimpedance at single (low)-frequency are strongly related to fluid changes during hemodialysis. Extension to semi-continuous measurements may provide longitudinal details in the time pattern of the bioimpedance signal, and multifrequency measurements may add in-depth information on the distribution between intra- and extracellular fluid. This study aims to investigate the feasibility of semi-continuous multifrequency thoracic bioimpedance measurements by a wearable device in hemodialysis patients. Method Thoracic bioimpedance was recorded semi-continuously (i.e. every ten minutes) at nine frequencies (8–160 kHz) in 68 patients during two consecutive hemodialysis sessions, complemented by an interdialytic single-point measurement at home. The wearable bioimpedance device was provided by imec, The Netherlands (Fig. 1). A linear mixed model was built to integrate all measurements at frequencies 8 and 160 kHz, incorporating the different dialysis sessions up until 240 minutes after the start of dialysis as well as the home measurement that was performed. Results On average, the thoracic resistance signals increased during the first hemodialysis session, decreased during the interdialytic interval, and increased again during the second hemodialysis session, at all frequencies. The average intradialytic increase was larger at 8 kHz (∆ 32.6 Ω during session 1 and ∆ 10 Ω during session 2) compared to 160 kHz (∆ 29.5 Ω during session 1 and ∆ 5.1 Ω during session 2). By measuring semi-continuously and at multiple frequencies, a different time pattern became clear within and between frequencies. The resistance at 8 kHz followed a linear time pattern, whereas the evolution of the resistance at 160 kHz showed a significant quadratic trend in the first dialysis session (p < 0.0001). During the first interdialytic interval (from the end of the first dialysis session towards the home measurement), the decrease in resistance was more distinct at 8 kHz (∆ −2.27 Ω) compared to a small increase of 0.84 Ω in 160 kHz. This finding reveals a certain inertia in the higher frequencies, mirroring the changes in intracellular volume. Finally, the statistical model could create individual predicting profiles over time, including as well the intradialytic as the interdialytic interval (Fig. 2). Conclusion In this study, we showed that it is feasible to perform semi-continuous and multifrequency bioimpedance measurements by a wearable device during hemodialysis. Semi-continuous and multifrequency measurements provided a broader, and respectively profounder knowledge on the trend of the bioimpedance signal during fluid changes compared to single-point and single-frequency measurements. Measuring thoracic bioimpedance semi-continuously and with a multifrequency current is a major step forward in the understanding of fluid dynamics in hemodialysis patients, by which the road is paved towards remote fluid monitoring and the prevention of hemodynamic instabilities.

The Feasibility of Semi-Continuous and Multi-Frequency Thoracic Bioimpedance Measurements by a Wearable Device during Fluid Changes in Hemodialysis Patients.

Repeated single-point measurements of thoracic bioimpedance at a single (low) frequency are strongly related to fluid changes during hemodialysis. Extension to semi-continuous measurements may provide longitudinal details in the time pattern of the bioimpedance signal, and multi-frequency measurements may add in-depth information on the distribution between intra- and extracellular fluid. This study aimed to investigate the feasibility of semi-continuous multi-frequency thoracic bioimpedance measurements by a wearable device in hemodialysis patients. Therefore, thoracic bioimpedance was recorded semi-continuously (i.e., every ten minutes) at nine frequencies (8-160 kHz) in 68 patients during two consecutive hemodialysis sessions, complemented by a single-point measurement at home in-between both sessions. On average, the resistance signals increased during both hemodialysis sessions and decreased during the interdialytic interval. The increase during dialysis was larger at 8 kHz (∆ 32.6 Ω during session 1 and ∆ 10 Ω during session 2), compared to 160 kHz (∆ 29.5 Ω during session 1 and ∆ 5.1 Ω during session 2). Whereas the resistance at 8 kHz showed a linear time pattern, the evolution of the resistance at 160 kHz was significantly different (p < 0.0001). Measuring bioimpedance semi-continuously and with a multi-frequency current is a major step forward in the understanding of fluid dynamics in hemodialysis patients. This study paves the road towards remote fluid monitoring.

Comparison of whole body versus thoracic bioimpedance in relation to ultrafiltration volume and systolic blood pressure during hemodialysis.

In contrast to whole body bioimpedance, which estimates fluid status at a single point in time, thoracic bioimpedance applied by a wearable device could enable continuous measurements. However, clinical experience with thoracic bioimpedance in patients on dialysis is limited. To test the reproducibility of whole body and thoracic bioimpedance measurements and to compare their relationship with hemodynamic changes during hemodialysis, these parameters were measured pre- and end-dialysis in 54 patients during two sessions. The resistance from both bioimpedance techniques was moderately reproducible between two dialysis sessions (intraclass correlations of pre- to end-dialysis whole body and thoracic resistance between session 1 and 2 were 0.711 [0.58-0.8] and 0.723 [0.6-0.81], respectively). There was a very high to high correlation between changes in ultrafiltration volume and changes in whole body thoracic resistance. Changes in systolic blood pressure negatively correlated to both bioimpedance techniques. Although the relationship between changes in ultrafiltration volume and changes in resistance was stronger for whole body bioimpedance, the relationship with changes in blood pressure was at least comparable for thoracic measurements. These results suggest that thoracic bioimpedance, measured by a wearable device, may serve as an interesting alternative to whole body measurements for continuous hemodynamic monitoring during hemodialysis.NEW & NOTEWORTHY We examined the role of whole body and thoracic bioimpedance in hemodynamic changes during hemodialysis. Whole body and thoracic bioimpedance signals were strongly related to ultrafiltration volume and moderately, negatively, to changes in blood pressure. This work supports the further development of a wearable device measuring thoracic bioimpedance longitudinally in patients on hemodialysis. As such, it may serve as an innovative tool for continuous hemodynamic monitoring during hemodialysis in hospital or in a home-based setting.

Rightward imbalanced pulmonary perfusion predicts better exercise stroke volume in children after Fallot repair

BackgroundResidual lesions following Fallot repair are primarily pulmonary regurgitation and right ventricular outflow tract obstruction. These lesions may impact exercise tolerance, particularly because of a poor increase in left ventricular stroke volume. Pulmonary perfusion imbalance is also common, but its effect on cardiac adaptation to exercise is not known. AimTo assess the association between pulmonary perfusion asymmetry and peak indexed exercise stroke volume (pSVi) in young patients. MethodsWe retrospectively studied 82 consecutive patients with Fallot repair (mean age 15.2±3.8 years) who underwent echocardiography, four-dimensional flow magnetic resonance imaging and cardiopulmonary testing with pSVi measurement by thoracic bioimpedance. Normal pulmonary flow distribution was defined as right pulmonary artery perfusion between 43 and 61%. ResultsNormal, rightward and leftward flow distributions were found in 52 (63%), 26 (32%) and four (5%) patients, respectively. Independent predictors of pSVi were right pulmonary artery perfusion (β=0.368, 95% confidence interval [CI] 0.188 to 0.548; P=0.0003), right ventricular ejection fraction (β=0.205, 95% CI 0.026 to 0.383; P=0.049), pulmonary regurgitation fraction (β=–0.283, 95% CI –0.495 to –0.072; P=0.006) and Fallot variant with pulmonary atresia (β=–0.213, 95% CI –0.416 to –0.009; P=0.041). The pSVi prediction was similar when the categorical variable right pulmonary artery perfusion>61% was used (β=0.210, 95% CI 0.006 to 0.415; P=0.044). ConclusionIn addition to right ventricular ejection fraction, pulmonary regurgitation fraction and Fallot variant with pulmonary atresia, right pulmonary artery perfusion is a predictor of pSVi, in that rightward imbalanced pulmonary perfusion favours greater pSVi.

#3651 COMPARISON OF WHOLE-BODY VERSUS THORACIC BIOIMPEDANCE IN RELATION TO ULTRAFILTRATION VOLUME AND SYSTOLIC BLOOD PRESSURE DURING HEMODIALYSIS

Abstract Background and Aims In contrast to portable whole-body bioimpedance, which estimates fluid status at a single point in time, thoracic bioimpedance applied by a wearable device could enable continuous measurements. However, clinical experience with thoracic bioimpedance in patients in dialysis is still limited. The aim of this study is to test the reproducibility of whole-body and thoracic bioimpedance measurements and to compare their association with hemodynamic changes during hemodialysis. Method In total, 54 patients were included in this cross-sectional observational study. Whole-body resistance at 5kHz, thoracic resistance at 8kHz, systolic blood pressure and ultrafiltration volume were measured. All measurements were taken at pre- and end-dialysis during two consecutive sessions. Data were approached by mixed-modelling and Spearman correlation analysis. Results Intraclass correlation of pre- to end-dialysis changes in whole-body and thoracic resistance between the first and second session was .71 [.58 – .8] and .72 [.6 – .81] respectively (Fig. 1). The correlation between ultrafiltration volume and relative whole-body and thoracic resistance was respectively .94 [.91 ─ .96], p &amp;lt; .001 and .76 [.66 ─ .83], p &amp;lt; .001 in the first session and .95 [.93 ─ .97], p &amp;lt; .001 and .75 [.65 ─ .82], p &amp;lt; .001 in the second session (Table 1). Changes in systolic blood pressure negatively correlated to both bioimpedance techniques (whole-body resistance in the first session: -.37 [-.19 ─ -.53], p &amp;lt; .001; in the second session: -.37 [-.19 ─ -.53], p &amp;lt; .001; thoracic resistance in the first session -.45 [-.28 ─ -.59], p &amp;lt; .001; in the second session -.39 [-.22 ─ -.54], p &amp;lt; .001) (Table 1). Conclusion Bioimpedance signals from both devices were moderately reproducible between two dialysis sessions. Whereas the relation between changes in ultrafiltration volume and resistance was stronger for whole-body bioimpedance, the relation between changes in systolic blood pressure and resistance was at least comparable for thoracic measurements. Thoracic bioimpedance measurements by a wearable device may serve as an interesting alternative to whole-body measurements for continuous hemodynamic monitoring during hemodialysis.

Bioimpedance based determination of cardiac index does not show enough trueness for point of care use in patients with systolic heart failure.

Cardiac output (CO) is a key parameter in diagnostics and therapy of heart failure (HF). The thermodilution method (TD) as gold standard for CO determination is an invasive procedure with corresponding risks. As an alternative, thoracic bioimpedance (TBI) has gained popularity for CO estimation as it is non-invasive. However, systolic heart failure (HF) itself might worsen its validity. The present study validated TBI against TD.In patients with and without systolic HF (LVEF ≤ 50% or > 50% and NT-pro-BNP < 125 pg/ml, respectively) right heart catheterization including TD was performed. TBI (Task Force Monitor©, CNSystems, Graz, Austria) was conducted semi-simultaneously. 14 patients with and 17 patients without systolic HF were prospectively enrolled in this study.In all participants, TBI was obtainable. Bland-Altman analysis indicated a mean bias of 0.3L/min (limits of agreement ± 2.0L/min, percentage error or PE 43.3%) for CO and a bias of -7.3 ml (limits of agreement ± 34 ml) for cardiac stroke volume (SV). PE was markedly higher in patients with compared to patients without systolic HF (54% vs. 35% for CO).Underlying systolic HF substantially decreases the validity of TBI for estimation of CO and SV. In patients with systolic HF, TBI clearly lacks diagnostic accuracy and cannot be recommended for point-of-care decision making. Depending on the definition of an acceptable PE, TBI may be considered sufficient when systolic HF is absent.Trial registration number: DRKS00018964 (German Clinical Trial Register, retrospectively registered).

Breathing Pattern Estimation Using Wearable Bioimpedance for Assessing COPD Severity.

Breathing pattern has been shown to be different in chronic obstructive pulmonary disease (COPD) patients compared to healthy controls during rest and walking. In this study we evaluated respiratory parameters and the breathing variability of COPD patients as a function of their severity. Thoracic bioimpedance was acquired on 66 COPD patients during the performance of the six-minute walk test (6MWT), as well as 5 minutes before and after the test while the patients were seated, i.e. resting and recovery phases. The patients were classified by their level of airflow limitation into moderate and severe groups. We characterized the breathing patterns by evaluating common respiratory parameters using only wearable bioimpedance. Specifically, we computed the median and the coefficient of variation of the parameters during the three phases of the protocol, and evaluated the statistical differences between the two COPD severity groups. We observed significant differences between the COPD severity groups only during the sitting phases, whereas the behavior during the 6MWT was similar. Particularly, we observed an inverse relationship between breathing pattern variability and COPD severity, which may indicate that the most severely diseased patients had a more restricted breathing compared to the moderate patients.

Abstract 163: Lung Inflation Occurs Infrequently In Most Patients During 30:2 CPR With Bag-Valve-Mask Ventilation

Background: Few studies have measured ventilation early in cardiopulmonary resuscitation (CPR) before advanced airway placement. In 30:2 CPR, there is a pause to give two ventilations after each round of 30 chest compressions. Recently, we developed a method to identify lung inflation (ventilation) waveforms from thoracic bioimpedance defibrillator recordings measured through defibrillator pads. Early work showed that in 75% of patients receiving bag-valve-mask (BVM) ventilation, lung inflation waveforms occurred in less than half of pauses in chest compressions during 30:2 CPR. Objective: To determine the incidence of lung inflation with BVM during 30:2 CPR in a multi-center study. Methods: Our study included adult out-of-hospital cardiac arrest patients from five sites of the Resuscitation Outcomes Consortium Trial of Continuous or Interrupted Chest Compressions during CPR. Patients had 30:2 CPR with ≥ two minutes of thoracic bioimpedance signal recorded with a defibrillator (Lifepak, Physio-control, Redmond, WA or MRx, Philips, Andover, MA). Previously, we defined a ventilation waveform as having a bioimpedance amplitude ≥0.5 Ohm (corresponding to ≥ 250 ml Vt) with a duration ≥1 sec. A valid pause was 3 sec to 15 sec. An automated program analyzed the recordings. We describe groups with ventilation waveforms in &lt;50% or ≥50% of pauses. Results: We included 1,552 patients; mean age was 66 years, 67% were male, mean (±SD) duration of 30:2 CPR was 9.9 ±5.8 min from the start of chest compressions until advanced airway placement. During this period there was a total of 21,705 pauses in chest compressions, a median of 12 pauses in chest compressions, and a median of 5 ventilations; 56% of patients had ventilation waveforms in &lt;50% of pauses (Group 1, N=868), and 44% had waveforms in &gt; 50% of pauses (Group 2, N=678). The median (IQR) number of pauses in Group 1 vs. Group 2, was 12 (8, 20) vs. 12 (7, 17) and the median number of ventilations was 3 (1, 6) vs. 13 (7, 21), respectively, during 30:2 CPR. The median duration of pauses for Group 1 vs. Group 2, was 5.8s (5.0, 6.5) vs. 5.7s (5.0, 6.7). Conclusion: For most patients, this multi-center study showed that ventilation waveforms were present in less than 50% of pauses in chest compressions during 30:2 CPR with BVM ventilation.

The Effect of Walking on the Estimation of Breathing Pattern Parameters using Wearable Bioimpedance.

Wearable bioimpedance is a technique proposed to estimate breathing parameters such as respiratory rate (RR). However, its potential application lies in clinical investigation of daily-life activities like walking. This study evaluated the effect of the walking interference on the estimation of breathing parameters. 50 chronic obstructive pulmonary disease patients performed static and active measurements during thoracic bioimpedance acquisition. The static measurements included respiratory airflow for reference. The active measurements were used to estimate the walking interference from bioimpedance, and the obtained signals were added to static measurements for comparison with the reference. Afterward, we applied four different preprocessing methods to remove this walking interference and the resulting signals were used to detect the respiratory cycles and estimate breathing parameters (inspiratory time, expiratory time, duty cycle, and RR). The methods performed differently in terms of accuracy and mean average percentage error (MAPE), showing the need for specific preprocessing for active measurements. Furthermore, the MAPE values in the RR estimation were close to 3 % indicating that breathing parameters can be accurately estimated during walking. Accordingly, the present study reinforces the applicability of wearable bioimpedance for respiratory monitoring. Clinical relevance- This study exhibits the suitability of wearable bioimpedance to estimate accurate breathing param-eters during walking activities.

Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia.

Compensated shock and hypovolaemia are frequent conditions that remain clinically undetected and can quickly cause deterioration of perioperative and critically ill patients. Automated, accurate and non-invasive detection methods are needed to avoid such critical situations. In this experimental study, we aimed to create a prediction model for stroke volume index (SVI) decrease based on electrical cardiometry (EC) measurements. Transthoracic echo served as reference for SVI assessment (SVI-TTE). In 30 healthy male volunteers, central hypovolaemia was simulated using a lower body negative pressure (LBNP) chamber. A machine-learning algorithm based on variables of EC was designed. During LBNP, SVI-TTE declined consecutively, whereas the vital signs (arterial pressures and heart rate) remained within normal ranges. Compared to heart rate (AUC: 0.83 (95% CI: 0.73–0.87)) and systolic arterial pressure (AUC: 0.82 (95% CI: 0.74–0.85)), a model integrating EC variables (AUC: 0.91 (0.83–0.94)) showed a superior ability to predict a decrease in SVI-TTE ≥ 20% (p = 0.013 compared to heart rate, and p = 0.002 compared to systolic blood pressure). Simulated central hypovolaemia was related to a substantial decline in SVI-TTE but only minor changes in vital signs. A model of EC variables based on machine-learning algorithms showed high predictive power to detect a relevant decrease in SVI and may provide an automated, non-invasive method to indicate hypovolaemia and compensated shock.

Comparison of clinical symptoms and bioimpedance to pulmonary capillary wedge pressure in heart failure

IntroductionClinical symptoms of heart failure commonly include fatigue, edema, and shortness of breath. Unfortunately, clinical monitoring has proven unreliable in predicting congestion and the need for hospitalization. Biosensing wearables have been developed as a potential adjunct to clinical signs and symptoms to detect congestion before it becomes severe thus preventing a heart failure hospitalization. HypothesisClinical signs and symptoms of heart failure will correlate with thoracic bioimpedance measurements (ZOE®) and pulmonary capillary wedge pressure (PCWP). MethodsOne hundred and fifty-five subjects undergoing right heart catheterization (RHC) were prospectively enrolled. A Zo value (ohms) was obtained, jugular venous pressure (JVP) was estimated, edema graded, and shortness of breath (SOB) assessed in all subjects. RHC was performed by a scheduled cardiologist per routine. One-way ANOVA was performed to assess the relationship between variables. A Pearson correlation coefficient was used to compare the Zo value and PCWP. ResultsNeither estimated JVP (cmH2O) (p = 0.65, n = 110) nor edema scores (p = 0.12, n = 110) demonstrated a significant relationship to PCWP. The presence of subjective SOB also did not demonstrate a significant association with PCWP (p = 0.99, n = 110). There was no correlation between ZOE® and PCWP (r = −0.08, p = 0.56, n = 56). ConclusionsThese findings support the idea that traditional measures for monitoring heart failure patients are limited.

Abstract 11156: Thoracic Bioimpedance Ventilation Waveforms: Increased Amplitude with Larger Tidal Volume and Female Sex

Introduction: Effective ventilation during 30:2 CPR has been linked to improved outcomes, but definitive evidence is lacking. We developed a method to identify thoracic bioimpedance ventilation waveforms from defibrillator recordings. Hypothesis: Bioimpedance ventilation waveform amplitude is proportional to tidal volume. It is possible to identify a minimum amplitude for a valid ventilation waveform. Methods: To determine the relationship between tidal volume and bioimpedance waveform amplitude, we studied 26 healthy volunteers (12 males and 14 females). Volunteers breathed fixed positive pressure tidal volumes (250mL, 300 mL, 400 mL, 600 mL, and 800 mL) given by a Maquet SERVO-I ventilator (Getinge US Sales, Wayne, NJ, USA) through a mouthpiece while a Lifepak12 (Physio-Control, Redmond, WA) defibrillator recorded thoracic bioimpedance through electrode pads placed on the chest. We measured the impedance amplitudes of six breaths at each tidal volume and the weight and height of each volunteer. We set the minimum effective tidal volume at 250 mL. Results: For males and females, respectively, mean (±SD) was 180.1±8 cm vs. 164±3.5 cm, and mean weight was 85.6±9.6 kg vs. 58.3±8.6 kg. Median (IQR) bioimpedance amplitude for each tidal volume split by sex is shown in the Figure (Y-axis, 1 mm = 0.25 Ohm). Conclusion: Bioimpedance amplitude is proportional to tidal volume and also varies by height, weight, and sex. Sex may be a possible surrogate for height and weight. The minimum amplitude is 0.375 Ohm for a valid bioimpedance ventilation waveform.

Detection of Respiratory Phases to Estimate Breathing Pattern Parameters using Wearable Bioimpendace.

Many studies have focused on novel noninvasive techniques to monitor respiratory rate such as bioimpedance. We propose an algorithm to detect respiratory phases using wearable bioimpedance to compute time parameters like respiratory rate, inspiratory and expiratory times, and duty cycle. The proposed algorithm was compared with two other algorithms from literature designed to estimate the respiratory rate using physiological signals like bioimpedance. We acquired bioimpedance and airflow from 50 chronic obstructive pulmonary disease (COPD) patients during an inspiratory loading protocol. We compared performance of the algorithms by computing accuracy and mean average percentage error (MAPE) between the bioimpedance parameters and the reference parameters from airflow. We found similar performance for the three algorithms in terms of accuracy (>0.96) and respiratory time and rate errors (<3.42 %). However, the proposed algorithm showed lower MAPE in duty cycle (10.18 %), inspiratory time (10.65 %) and expiratory time (8.61 %). Furthermore, only the proposed algorithm kept the statistical differences in duty cycle between COPD severity levels that were observed using airflow. Accordingly, we suggest bioimpedance to monitor breathing pattern parameters in home situations.Clinical relevance- This study exhibits the suitability of wearable thoracic bioimpedance to detect respiratory phases and to compute accurate breathing pattern parameters.

Value of nitroglycerin test in the diagnosis of heart failure in emergency department patients with undifferentiated dyspnea.

BackgroundRapid diagnosis of heart failure (HF) in acutely dyspneic patients can be challenging for emergency department (ED) physicians.HypothesisCardiac output (CO) change with sublingual nitroglycerin (NTG) could be helpful in the diagnosis of HF in patients with acute undifferentiated dyspnea.Materials and MethodsA prospective study of patients >18 years admitted to the ED for acute dyspnea. Using thoracic bioimpedance, we measured CO change at baseline and after sublingual administration of 0.6 mg of NTG. HF was defined on the basis of clinical examination, pro‐brain natriuretic peptide levels, and echocardiographic findings. Diagnostic performance of delta CO was calculated by sensitivity, specificity, likelihood ratio and receiver operating characteristic (ROC) curve.ResultsThis study included 184 patients with mean age of 64 years. Baseline CO was comparable between the HF group and the non‐HF group. At its best cutoff (29%), delta CO showed good accuracy in the diagnosis of HF with a sensitivity, specificity, positive and negative likelihood ratios of 80%, 44%, 57%, and 66% respectively. Area under ROC curve was 0.701 [95% CI 0.636–0.760]. The decrease of CO with sublingual NTG was significantly higher in patients with HFpEF compared with those with HFrEF. Multivariate analysis, showed that delta CO was an independent factor associated with HF diagnosis [OR 0.19 (95% CI 0.11–0.29); p < .001].ConclusionsOur study showed that CO change with sublingual nitroglycerin is a simple tool that may be helpful for the diagnosis of HF in ED patients with undifferentiated dyspnea.

MO730THORACIC BIOIMPEDANCE AS AN INNOVATIVE TOOL TO DETECT CHANGES IN BLOOD PRESSURE DURING HEMODIALYSIS

Abstract Background and Aims Blood pressure (BP) variability is an important cardiovascular risk factor that contributes to the high burden of cardiovascular mortality in hemodialysis (HD) patients. Ultrafiltration rate (UFR) and plasma refill rate modify the extracellular volume (ECV), which is a major determinant of the systolic BP. Segmental bioimpedance of the thoracic region addresses the central volume compartment of the body. We hypothesize that changes in bioimpedance reflect changes in BP and that thoracic measurements are more accurately in detecting intradialytic BP changes compared to whole body bioimpedance. Method During two consecutive short-term interval HD sessions, thoracic bioimpedance signal was registered continuously from predialysis until the end of the session. Corresponding BP, whole body bioimpedance and ultrafiltration volume (UFV) after the start and at the end of dialysis was registered. After outlier detection, valid raw bioimpedance data [Ohm] at 8 and 160 kHz for thoracic measurements, and 5 and 200 kHz for whole body measurements, were taken into further analysis. Dialysis sessions were divided into 3 groups according to the development of the systolic BP: a drop ≥ than 20 mmHg was defined as a hypotensive session, an increase ≥ 10 mmHg was considered as a hypertensive session. Pearson correlation analysis was applied (r, p-value) to the relative data, calculated as a percentage from the start value. Results From 2 dialysis centres, a total of 46 HD patients were enrolled in the study (65.2% male, mean age 71 ± 12.6 years, mean dialysis vintage 4 ± 3.9 years), which resulted in 89 dialysis sessions to analyse. Mean systolic BP after start of dialysis was 133.2 ± 20.7 mmHg and mean UF volume was 1817.5 ± 801.5 mL. 23 sessions showed a hypotensive gradient from the start till the end of dialysis, and 13 sessions progressed with an increase of more than 10 mmHg. When the 8 kHz curve was plotted according to the 3 BP groups, a more plane increase in thoracic bioimpedance signal was observed in the group with a normal tension course (Figure 1). There was a significant relationship between UFR and changes in relative bioimpedance data, as well as thoracic (r = .49 at 8 kHz, r = .46 at 160 kHz, all ps &amp;lt; .001), as whole body bioimpedance (r = .58 at 5 kHz, r = .52 at 200 kHz, all ps &amp;lt; .001). UFV correlated with changes in systolic BP (r = -.31, p &amp;lt; .01). Both bioimpedance techniques correlated with each other (r = .38, p = .001 for low frequencies; r = .29, p &amp;lt; .01 for high frequencies). Where the relative thoracic bioimpedance signal correlated with changes in systolic BP (r = -.35 at 8kHz, -.32 at 160 kHz, all ps &amp;lt; .01) (Figure 2), whole body did not. Conclusion Thoracic bioimpedance is associated with intradialytic BP changes, whereas whole body bioimpedance is not. Thoracic bioimpedance has the potential to function as an important diagnostic and predictive tool in BP variability during HD.

Hemodynamic profiles in treatment-naive arterial hypertension and their clinical implication for treatment choice: an exploratory post hoc analysis

Noninvasive thoracic bioimpedance by the HOTMAN System estimates hemodynamic modulators and expresses them as hemodynamic profiles. Aims of this analysis were to describe hemodynamic profiles among treatment-naive hypertensive patients compared with normotensive controls and to investigate whether a hemodynamic-guided choice of therapy improves blood pressure (BP) control within 4 weeks. This exploratory post hoc analysis used data of a randomized parallel-group trial including 80 outpatients with newly diagnosed arterial hypertension (AHT), randomized to four antihypertensive first-line monotherapies, and 20 age-matched and sex-matched normotensive controls. Hemodynamic profiles were measured at baseline and after four weeks of treatment. On the basis of the hemodynamic profiles, the most appropriate pharmacological treatment was determined retrospectively and patients were categorised to have received concordant (ConTG) or discordant treatment (DisTG). In the hypertensive group, hypervolemia with vasoconstriction was the predominant hemodynamic profile in 48% of patients and hypervolemia without vasoconstriction in 45%, compared with 15 and 50%, respectively, in the control group. After 4 weeks of treatment, the mean (±SD) 24-h BP was 129.9 (±11.0)/81.5 (±8.0) mmHg in the DisTG vs. 133.9 (±12.3)/84.0 (±9.1) mmHg in the ConTG (P = 0.158/0.222). The mean 24-h BP reductions were -9.7 (±10.1)/-5.0 (±6.2) mmHg in the DisTG and -12.4 (±14.8)/-6.9(±6.9) mmHg in the ConTG (P = 0.353/0.223). After 4 weeks of treatment, the BP control rate was 53.7% (43/80) among all, 55.7% (29/52) in the DisTG and 48% (12/25) in the ConTG (P = 0.628). Our findings do not support the hypothesis that personalized treatment initiation based on hemodynamic profiles improves BP control in newly diagnosed hypertensive outpatients.

Blunted cardiac output response to exercise in adolescents born preterm.

Premature birth is associated with lasting effects, including lower exercise capacity and pulmonary function, and is acknowledged as a risk factor for cardiovascular disease. The aim was to evaluate factors affecting exercise capacity in adolescents born preterm, including the cardiovascular and pulmonary responses to exercise, activity level and strength. 21 preterm-born and 20 term-born adolescents (age 12-14years) underwent strength and maximal exercise testing with thoracic bioimpedance monitoring. Baseline variables were compared between groups and ANCOVA was used to compare heart rate, cardiac output (Q) and stroke volume (SV) during exercise between groups while adjusting for body surface area. Preterm-borns had lower maximal aerobic capacity than term-borns (2.0 ± 0.5 vs. 2.5 ± 0.5 L/min, p = 0.01) and lower maximal power (124 ± 26 vs. 153 ± 33 watts, p < 0.01), despite similar physical activity scores. Pulmonary function and muscular strength did not differ significantly. Although baseline Q and SV did not differ between groups, preterm adolescents had significantly lower cardiac index (Qi) at 50, 75 and 100% of maximal time to exhaustion, driven by SV volume index (SVi, 50% max time: 53.0 ± 9.0 vs. 61.6 ± 11.4; 75%: 51.7 ± 8.4 vs. 64.3 ± 11.1; 100%: 51.2 ± 9.3 vs. 64.3 ± 11.5ml/m2, all p < 0.01), with similar heart rates. Otherwise healthy and physically active adolescents born very preterm exhibit lower exercise capacity than term-born adolescents. Despite similar baseline cardiovascular values, preterm-born adolescents demonstrate significantly reduced Qi and SVi during incremental and maximal exercise.

High magnesium dialysate does not improve intradialytic hemodynamics or abrogate myocardial stunning.

Hemodialysis (HD) induces myocardial stunning and is associated with adverse cardiovascular outcomes. Intradialytic hypotension is a modifiable determinant of myocardial stunning. Magnesium (Mg) is reported to be valuable in maintaining intradialytic blood pressure, which potentially would protect against demand myocardial ischemia. This study aimed to compare high vs. low dialysate Mg effects on intradialytic hemodynamics and HD-induced myocardial stunning. Twenty stable prevalent HD patients entered a randomized cross-over trial of low (0.5 mmol/L) vs. high (1.0 mmol/L) dialysate Mg. Patients were studied after 2 weeks of standard HD with each Mg concentration. Serial echocardiography assessed myocardial stunning, measured by left ventricular regional wall motion abnormalities (RWMAs). Continuous intradialytic hemodynamics were measured noninvasively using thoracic bioimpedance. Median predialysis serum Mg was higher with high dialysate Mg (1.45[1.29-1.55] vs. 1.03[0.98-1.1] mmol/L, P < 0.0001). There was no significant difference in maximum intradialytic reduction in systolic BP. There was no significant difference in stroke volume, total peripheral resistance, and cardiac output. Overall ventricular global longitudinal strain (GLS) (as a sensitive marker of contractile function) was higher before dialysis in high Mg group, but there was no difference in GLS at peak stress. However, we showed a significant correlation between Mg changes and GLS changes, r = -0.47, P = 0.02. There was no difference in mean number of peak stress RWMAs per patient (4.0 ± 2.2 vs. 4.3 ± 2.9, P = 0.5). Ultrafiltration volume, a critical determinant of stunning, was not different between high and low dialysate Mg studies (1.35[0-3.3] vs. 1.5[0-2.8], P = 0.49). Manipulation of magnesium by altering dialysate magnesium concentration does not influence intradialytic hemodynamic response or HD-induced myocardial stunning in the short term. However, decreasing Mg changes appears to decrease GLS changes.

Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study

BackgroundHaemodialysis (HD) patients are burdened by frequent fluid shifts which amplify their comorbidities. Bioimpedance (bioZ) is a promising technique to monitor changes in fluid status. The aim of this study is to investigate if the thoracic bioZ signal can track fluid changes during a HD session.MethodsPrevalent patients from a single centre HD unit were monitored during one to six consecutive HD sessions using a wearable multi-frequency thoracic bioZ device. Ultrafiltration volume (UFV) was determined based on the interdialytic weight gain and target dry weight set by clinicians. The correlation between the bioZ signal and UFV was analysed on population level. Additionally regression models were built and validated per dialysis session.Results66 patients were included, resulting in a total of 133 HD sessions. Spearman correlation between the thoracic bioZ and UFV showed a significant strong correlation of 0.755 (p < 0.01) on population level. Regression analysis per session revealed a strong relation between the bioZ value and the UFV (R2 = 0.982). The fluid extraction prediction error of the leave-one-out cross validation was very small (56.2 ml [− 121.1–194.1 ml]) across all sessions at all frequencies.ConclusionsThis study demonstrated that thoracic bioZ is strongly correlated with fluid shifts during HD over a large range of UFVs. Furthermore, leave-one-out cross validation is a step towards personalized fluid monitoring during HD and could contribute to the creation of autonomous dialysis.

Combining Bioimpedance and Myographic Signals for the Assessment of COPD During Loaded Breathing.

Chronic Obstructive Pulmonary Disease (COPD) is one of the most common chronic conditions. The current assessment of COPD requires a maximal maneuver during a spirometry test to quantify airflow limitations of patients. Other less invasive measurements such as thoracic bioimpedance and myographic signals have been studied as an alternative to classical methods as they provide information about respiration. Particularly, strong correlations have been shown between thoracic bioimpedance and respiratory volume. The main objective of this study is to investigate bioimpedance and its combination with myographic parameters in COPD patients to assess the applicability in respiratory disease monitoring. We measured bioimpedance, surface electromyography and surface mechanomyography in forty-three COPD patients during an incremental inspiratory threshold loading protocol. We introduced two novel features that can be used to assess COPD condition derived from the variation of bioimpedance and the electrical and mechanical activity during each respiratory cycle. These features demonstrate significant differences between mild and severe patients, indicating a lower inspiratory contribution of the inspiratory muscles to global respiratory ventilation in the severest COPD patients. In conclusion, the combination of bioimpedance and myographic signals provides useful indices to noninvasively assess the breathing of COPD patients.