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236 results for “cardiac output”

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ClinicalTrials.gov20/100

Noninvasive Cardiac Output Measurements in Patients With Pulmonary Hypertension Undergoing Right Heart Catheterization With Acute Vasodilator Testing

ClinicalTrials.gov study NCT01275690. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Impedance During Cardiac Catheterization to Build a Non-Invasive Cardiac Output Algorithm

ClinicalTrials.gov study NCT06171698. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Evaluation of NICOM (Bioreactance) for the Non-invasive Determination of Cardiac Output

ClinicalTrials.gov study NCT02331329. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Evaluation of the esCCO Non-invasive Cardiac Output Measurement Device in Pregnancy

ClinicalTrials.gov study NCT02255448. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Can Perfusion Index and Cerebral Oxygen Saturation Trends Predict Low Cardiac Output in Pediatric Cardiovascular Surgeries

ClinicalTrials.gov study NCT06759506. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Cardiac Output and Other Hemodynamic Changes With Prone Position in Cervical Myelopathy Patients Undergoing Surgery

ClinicalTrials.gov study NCT03027817. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Cardiac Output Monitoring to Predict Pre-Eclampsia and Restricted Growth (COMPaRE)

ClinicalTrials.gov study NCT05123677. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Study on Cardiac Output Evaluation Based on Wearable Monitoring Data

ClinicalTrials.gov study NCT06938893. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Real-time Continuous Cardiac Output Measurements

ClinicalTrials.gov study NCT04774978. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Modifications of Heart Murmurs and Cardiac Output During Fever

ClinicalTrials.gov study NCT04306991. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Comparison of NICOM and Innocor for Non-Invasive Determination of Cardiac Output

ClinicalTrials.gov study NCT02331342. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Necklace-Shaped Sensor for Non-Invasive Monitoring of Stroke Volume and Cardiac Output

ClinicalTrials.gov study NCT02719301. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Quantitation of Cardiac Output Change by Impedance Cardiography in Subjects Undergoing Exercise Gated Stress/Rest Tc-99m CZT-SPECT MPI

ClinicalTrials.gov study NCT02863939. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo12/100

Dataset related to the article "Rest and exercise oxygen uptake and cardiac output changes 6 months after successful transcatheter mitral valve repair"

<p><strong>Aims:&nbsp;</strong>Changes in peak exercise oxygen uptake (VO<sub>2</sub>&nbsp;) and cardiac output (CO) 6 months after successful percutaneous edge-to-edge mitral valve repair (pMVR) in severe primary (PMR) and functional mitral regurgitation (FMR) patients are unknown. The aim of the study was to assess the efficacy of pMVR at rest by echocardiography, VO<sub>2</sub>&nbsp;and CO (inert gas rebreathing) measurement and during cardiopulmonary exercise test with CO measurement.</p> <p><strong>Methods and results:&nbsp;</strong>We evaluated 145 and 115 patients at rest and 98 and 66 during exercise before and after pMVR, respectively. After successful pMVR, significant reductions in MR and NYHA class were observed in FMR and PMR patients. Cardiac ultrasound showed reverse remodelling (left ventricular end-diastolic volume from 158 &plusmn; 63 mL to 147 &plusmn; 64, P &lt; 0.001; ejection fraction from 51 &plusmn; 15 to 48 &plusmn; 14, P &lt; 0.001; pulmonary artery systolic pressure (PASP) from 43 &plusmn; 13 to 38 &plusmn; 8 mmHg, P &lt; 0.001) in the entire population. These changes were significant in PMR (n = 62) and a trend in FMR (n = 53), except for PASP, which decreased in both groups. At rest, CO and stroke volume (SV) increased in FMR with a concomitant reduction in arteriovenous O<sub>2</sub>&nbsp;content difference [&Delta;C(a-v)O<sub>2</sub>&nbsp;]. Peak exercise, CO and SV increased significantly in both groups (CO from 5.5 &plusmn; 1.4 L/min to 6.3 &plusmn; 1.5 and from 6.2 &plusmn; 2.4 to 6.7 &plusmn; 2.0, SV from 57 &plusmn; 19 mL to 66 &plusmn; 20 and from 62 &plusmn; 20 to 69 &plusmn; 20, in FMR and PMR, respectively), whereas peak VO<sub>2</sub>&nbsp;was unchanged and &Delta;C(a-v)O<sub>2</sub>&nbsp;decreased.</p> <p><strong>Conclusions:&nbsp;</strong>These data confirm pMVR-induced clinical improvement and reverse ventricular remodelling at a 6-month analysis and show, in spite of an increase in CO, an unchanged exercise performance, which is achieved through a &#39;more physiological&#39; blood flow distribution and O<sub>2</sub>&nbsp;extraction behaviour. Direct rest and exercise CO should be measured to assess pMVR efficacy.</p> <p><strong>Keywords:&nbsp;</strong>Cardiac output; Exercise; Oxygen uptake; Percutaneous edge-to-edge mitral valve repair; Transcatheter mitral valve repair.</p>

restrictedJan 2022View details →
zenodo8/100

Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Ranucci M, Porta A. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. Physiol Meas. 2019 Apr 26;40(4):044001. doi: 10.1088/1361-6579/ab12f0. PMID: 30909175.

<p>Data set from the article Bari V, Vaini E, Pistuddi V, et al. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting.&nbsp;<em>Physiol Meas</em>. 2019;40(4):044001. Published 2019 Apr 26. doi:10.1088/1361-6579/ab12f0</p> <p>This is the abstract:</p> <p><strong>Background:&nbsp;</strong>Low cardiac output syndrome (LCOS) is a myocardial dysfunction leading to systemic hypoperfusion, favored by particular conditions of the autonomic nervous system. LCOS is one of the adverse events that might occur after cardiac surgery.</p> <p><strong>Objective:&nbsp;</strong>The aim is to test the hypothesis that short-term multiscale complexity (MSC) analysis of heart period (HP) and systolic arterial pressure (SAP) variability series in the frequency bands typical of cardiovascular control could be fruitfully exploited in identifying subjects at risk of developing LCOS after coronary artery bypass graft (CABG).</p> <p><strong>Approach:&nbsp;</strong>HP and SAP beat-to-beat series were derived from electrocardiogram (ECG) and invasive arterial pressure (AP) signal acquired in 128 patients scheduled for CABG before (PRE) and after (POST) the induction of general anesthesia with propofol and remifentanil. Subjects were labeled as LCOS (n = 14) and noLCOS (n = 114) according to the LCOS development. MSC markers were calculated as the complement to 1 of the modulus of the average position of the poles dropping in the low-frequency (LF, 0.04-0.15 Hz) and high-frequency (HF, 0.15-0.5 Hz) bands as derived from the autoregressive model of HP and SAP series. Traditional time and frequency domain indexes were also calculated.</p> <p><strong>Main results:&nbsp;</strong>Traditional parameters were able to assess the depression of the cardiovascular regulation induced by general anesthesia, but showed weak performances in differentiating LCOS and noLCOS groups. Conversely, HP complexity in LF band and SAP complexity in HF band assessed during POST remained associated with LCOS even after entering a multivariate logistic regression model adjusted for clinical and demographic factors.</p> <p><strong>Significance:&nbsp;</strong>The MSC approach can be fruitfully applied to improve risk stratification for LCOS after CABG likely because MSC markers describe the dysfunction of the sympathetic control and the impairment of the mechanical properties of the heart in the LCOS group.</p>

restrictedMay 2020View details →
zenodo8/100

Cardiac output changes during exercise in heart failure patients: focus on mid-exercise.

<p>This dataset contains the raw data of the paper &quot;Cardiac output changes during exercise in heart failure patients: focus on mid-exercise.&quot;</p> <p><strong>Aims:&nbsp;</strong>Peak exercise oxygen uptake (VO<sub>2</sub>&nbsp;) and cardiac output (CO) are strong prognostic indexes in heart failure (HF) but unrelated to real-life physical activity, which is associated to submaximal effort.</p> <p><strong>Methods and results:&nbsp;</strong>We analysed maximal cardiopulmonary exercise test with rest, mid-exercise, and peak exercise non-invasive CO measurements (inert gas rebreathing) of 231 HF patients and 265 healthy volunteers. HF patients were grouped according to exercise capacity (peak VO<sub>2</sub>&nbsp;&lt; 50% and &ge;50% pred, Groups 1 and 2). To account for observed differences, data regarding VO<sub>2</sub>&nbsp;, CO, stroke volume (SV), and artero-venous O<sub>2</sub>&nbsp;content difference [&Delta;C(a-v)O<sub>2</sub>&nbsp;] were adjusted by age, gender, and body mass index. A multiple regression analysis was performed to predict peak VO<sub>2</sub>&nbsp;from mid-exercise cardiopulmonary exercise test and CO parameters among HF patients. Rest VO<sub>2</sub>&nbsp;was lower in HF compared with healthy subjects; meanwhile, Group 1 patients had the lowest CO and highest &Delta;C(a-v)O<sub>2</sub>&nbsp;. At mid-exercise, Group 1 patients achieved a lower VO<sub>2</sub>&nbsp;, CO, and SV [0.69 (interquartile range 0.57-0.80) L/min; 5.59 (4.83-6.67) L/min; 62 (51-73) mL] than Group 2 [0.94 (0.83-1.1) L/min; 7.6 (6.56-9.01) L/min; 77 (66-92) mL] and healthy subjects [1.15 (0.93-1.30) L/min; 9.33 (8.07-10.81) L/min; 87 (77-102) mL]. Rest to mid-exercise SV increase was lower in Group 1 than Group 2 (P = 0.001) and healthy subjects (P &lt; 0.001). At mid-exercise, &Delta;C(a-v)O<sub>2</sub>&nbsp;was higher in Group 2 [13.6 (11.8-15.4) mL/100 mL] vs. healthy patients [11.6 (10.4-13.2) mL/100 mL] (P = 0.002) but not different from Group 1 [13.6 (12.0-14.9) mL/100 mL]. At peak exercise, Group 1 patients achieved a lower VO<sub>2</sub>&nbsp;, CO, and SV than Group 2 and healthy subjects. &Delta;C(a-v)O<sub>2</sub>&nbsp;was the highest in Group 2. At multivariate analysis, a model comprising mid-exercise VO<sub>2</sub>&nbsp;, carbon dioxide production (VCO<sub>2</sub>&nbsp;), CO, haemoglobin, and weight predicted peak VO<sub>2</sub>&nbsp;, P &lt; 0.001. Mid-exercise VO<sub>2</sub>&nbsp;and CO, haemoglobin, and weight added statistically significantly to the prediction, P &lt; 0.050.</p> <p><strong>Conclusions:&nbsp;</strong>Mid-exercise VO<sub>2</sub>&nbsp;and CO portend peak exercise values and identify severe HF patients. Their evaluation could be clinically useful.</p>

restrictedDec 2020View details →

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International Brain Laboratory public data

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Last verified 2026-04-29Open record