Skip to main content
Erschienen in: BMC Nephrology 1/2018

Open Access 01.12.2018 | Research article

The value of non-invasive measurement of cardiac output and total peripheral resistance to categorize significant changes of intradialytic blood pressure: a prospective study

verfasst von: Yunlin Feng, Yurong Zou, Yifei Zheng, Nathan W. Levin, Li Wang

Erschienen in: BMC Nephrology | Ausgabe 1/2018

Abstract

Background

Blood pressure (BP) is currently the main hemodynamic parameter used to assess the influence of fluid removal during hemodialysis session. Since BP is dependent on cardiac output (CO) and total peripheral resistance (TPRI), investigating these parameters may help to better understand the influence of fluid removal on patient’s hemodynamics. We used a novel non-invasive whole-body bio-impedance cardiography device, recently validated in hemodialysis patients, to examine mechanisms of intradialytic hemodynamics in a Chinese dialysis population.

Methods

Chronic hemodialysis patients in Sichuan Provincial People’s Hospital were enrolled. Demographic data and dialysis prescriptions were collected. Hemodynamic measurements were made pre-treatment, every 20 min during treatment and immediately after treatment in each random dialysis session. These included blood pressure, cardiac index (CI), total peripheral resistance (TPRI) and cardiac power index (CPI). Patients were divided into 5 hemodynamic groups as per their major hemodynamic response to fluid removal: low CPI, low TPRI, high TPRI, High CPI and those with normal hemodynamics.

Results

Twenty-seven patients were enrolled, with 12 (44.4%) males. The average age was 65 ± 12 y. The average body mass index (BMI) was 23.7 ± 3.9 kg/m2. 12 (44.4%) patients were diabetic. Three hundred twenty-four hemodynamic measurements were made. Weight, BMI, total fluid removal, pretreatment systolic BP, CI, TPRI and CI differed significantly among the 5 hemodynamic groups.11.1% of patients had low CPI, 25.9% had low TPRI, 18.5% had high CPI, 3.7% had high TPRI and 40.7% had normal hemodynamics. Hemodynamic differences among the 5 subgroups were significant.

Conclusion

This technology provides multi-dimensional insight into intradialytic hemodynamic parameters, which may be more informative than blood pressure only. Using hemodynamic parameters to describe patients’ status is more specific and accurate, and could help to work out specific and effective therapeutic actions according to underlying abnormalities.
Hinweise
Yunlin Feng and Yurong Zou contributed equally to this work.

Background

Fluid loading and removal, inherent aspects of chronic hemodialysis, are critical in patients’ care and determining outcomes. Adverse response to fluid management causes obvious symptoms, decreases quality of life, requires multiple actions of healthcare professionals and increases costs to the healthcare system. However, details of fluid management and its immediate consequence are limited by lack of information concerning intradialytic hemodynamics, largely because there are few practical methods to accurately measure the two decisive elements of blood pressure, viz. cardiac output and total peripheral resistance. Accurate measurement of cardiac output and total peripheral resistance requires the pulmonary artery catheterization determined cardiac output (CO) thermodilution technique [1], which is unrealistic in the hemodialysis clinic. Recent technological developments provide the capability to non-invasively measure hemodynamic parameters including CO during dialysis session.
These intradialytic non-invasive measurements provide opportunities to learn the full pattern of hemodynamic responses to fluid removal during hemodialysis and to intervene specifically according to deviations from normal. A novel non-invasive whole-body bio-impedance cardiography device (NICaS, NI-Medical, Israel) has been used recently to assess this in chronic hemodialysis patients [2]. The device was validated against pulmonary artery catheter thermodilution on acute heart failure patients [3, 4] and recently was also validated against Echocardiography on dialysis patients with correlation factor r = 0.92 which was maintained during fluid removal in maintenance hemodialysis treatments [5]. In addition, the device has been proven to be more accurate than its predecessor thoracic impedance cardiography [6].
In this study, we examined the mechanisms of intradialytic hemodynamics, including cardiac output, peripheral resistance and cardiac power, in a Chinese dialysis population, in order to evaluate different hemodynamic statuses in this population, and to provide evidence for possible specific preventive and interventional actions, particularly in the management of hypotensive episodes.

Methods

Subjects

Twenty-seven chronic hemodialysis patients on regular dialysis for at least 3 months in the hemodialysis center of Sichuan Provincial People’s Hospital in China were investigated. Written informed consent was obtained prior to any procedure of the study during June to September 2016. All patients received 3 maintenance hemodialysis treatment per week. The study was approved by the Institutional Review Board of the hospital and followed the ethical standards of the committee on human experimentation in our institution.

Data collection

Demographic data including gender, age, height, weight, dialysis vintage and comorbidity of diabetes was collected. Body mass index (BMI) was calculated as weight (kg) divided by height squared (m2). Hemodynamic measurements in these patients were made using the device (NICaS, NI Medical, Israel), pre-treatment, every 20 min during treatment and immediately post-treatment in one random dialysis session for each individual. Blood pressure was measured at the same time as NICaS measurements. Mean arterial pressure (MAP) was calculated as (systolic blood pressure (SBP) + 2*diastolic blood pressure (DBP))/3. Dialysis prescriptions including treatment duration and total fluid removal (TFR) were recorded. Ultrafiltration rate (UFR) was expressed as fluid removal volume per kg weight per hour.

Hemodynamic monitoring

The device utilizes the whole-body bio-impedance technology and has been fully validated to having a good correlation to pulmonary artery catheter thermodilution) [3, 4]. It is more accurate than the predecessor thoracic bio impedance technology [6] and is now US FDA approved [7]. The device measures changes in electrical resistance in the arterial system by using sensors placed on the wrist of the none-fistula hand and the contralateral ankle. These changes are converted into changes in volume of blood; stroke volume (SV) is calculated from these changes using a proprietary algorithm [3, 4]. In addition, a 1 channel electrocardiograph (ECG) is measured. Cardiac output (CO) is calculated by CO = heart rate (HR)* SV and cardiac index (CI) is calculated as dividing CO by body surface area [8]. Mean arterial pressure (MAP) is calculated from standard blood pressure. The device calculates total peripheral resistance index (TPRI = MAP/CI*80) dyn*sec/cm5*m2 [9, 10] and cardiac power index (CPI = MAP*CI/451) w/m2. A recent study indicated that SV measurements in NICaS are similar to and strongly correlated with echocardiographic SV measurements in a chronic hemodialysis population, confirming that the technology is a practical method for measuring SV during hemodialysis [5]. Levin et al. [2] used the device to assess hemodynamic respond to fluid removal during hemodialysis, concluding that intradialytic hypotension occurs as the result of reduction of CPI and/or TPRI and that this knowledge leads to specific actions in the management of intradialytic blood pressure.

Patient grouping

Each patient was studied during one random hemodialysis treatment. Treating clinicians were blinded to the measured data. For graphical representation, a graph with CI on the x-axis and MAP on the y-axis was shown in Fig. 1. Normal hemodynamic status, as depicted in the center octagon, was defined by the normal range of MAP (70–105 mmHg), CI (2.5–4.0 l/min/m2), TPRI (1600–3000 dyn*Sec/cm5*m2) and CPI (0.45–0.85 W/m2).
After normal hemodynamics were established, patients with abnormal hemodynamics were grouped as experiencing intradialytic hypotension (IDH), defined as systolic blood pressure (SBP decreased by> 20 mmHg or MAP decreased by > 10 mmHg), and non IDH. They were further divided into 4 hemodynamic groups (in addition to normal hemodynamic) as follows:
High TPRI with MAP ≥88 mmHg and CI < 3.25 l/min/m2.
High CPI with MAP≥88 mmHg and CI ≥ 3.25 l/min/m2.
Low CPI with MAP< 88 mmHg and CI < 3.25 l/min/m2.
Low TPRI with MAP < 88 mmHg and CI ≥ 3.25 l/min/m2.
The MAP and CI measurements of each patient were plotted (see Fig. 1) in 3 measurement time points: Pretreatment measurement, maximum intradialytic hemodynamic change (defined as the maximum distance of MAP and CI from the normal range) and post treatment. These 3 points enabled graphical representation of the hemodynamic changes occurring during and after dialysis treatment in each patients.

Statistical analysis

All statistical analyses were performed using MicroSoft Excel version 2010 (Microsoft, CA, USA). Quantitative data was expressed as mean ± standard deviation (SD). Qualitative data was expressed as number and percentage. Comparisons were made between/among groups by chi square test or ANOVA test. All tests were two-tailed. P < 0.05 was considered statistically significant.

Results

The study population consisted of 27 patients, with 12 (44.4%) males. The average age was 65 ± 12 years, and the average BMI was 23.7 ± 3.9 kg/m2. 12 (44.4%) patients were diabetes. There were totally 324 measurements, including 27 measurements at baseline, 270 measurements made every 20 min during treatment and 27 measurements immediately after treatment. See Table 1 for demographics, fluid removal data and pretreatment hemodynamics of the IDH and non IDH groups (using above criteria). Weight and BMI were significantly higher in the IDH group than those in the non IDH group (72 ± 9 kg and 27.2 ± 4.6 kg/m2 vs 64 ± 12 kg and 22.6 ± 3.2 kg/m2, p = 0.015 and 0.010 respectively). Patients in the non IDH group had been on dialysis longer than those in IDH groups (104 ± 56 days vs 55 ± 16 days respectively, p = 0.043). Significant changes were not found in treatment duration, total fluid removal (TFR), ultrafiltration rate (UFR) and pretreatment hemodynamics between the two groups. The percentage of diabetic patients in the non IDH group (42.9%) was not significantly different from that in the IDH group (50.0%). When patients were grouped as per the 5 hemodynamic subgroups, weight and BMI were significantly different among the groups (p < 0.001 and p = 0.030 respectively), with patients in the low CPI group had the highest weight and BMI. Patients in the low CPI group and high TPRI group had significantly higher TFR (p = 0.010). Pretreatment SBP, CI, CPI and TPRI differed significantly among groups (p = 0.02, < 0.001, < 0.001 and 0.001 respectively). See Table 2 for demographics, fluid removal data and pretreatment hemodynamics. Figure 1 provided the pretreatment (on the left) and intradialytic extreme hemodynamic changes (on the right) of all subjects. Figure 2 provided the hemodynamic trends from pretreatment to intradialytic extreme hemodynamic and then to post treatment for each of the5 hemodynamic groups.
Table 1
Demographics, fluid removal data and pretreatment hemodynamics of the IDH and non IDH groups
Parameter
All
Non IDH
IDH
IDH vs. Non IDH
Demographics (Mean ± STD) or (n, %)
P value
 No. of patients
27
21 (77.8%)
6 (22.2%)
 
 Male (n, %)
12 (44.4%)
8 (38.1%)
4 (66.7%)
0.230
 Age (y)
65 ± 12
64 ± 12
72 ± 9
0.139
 Weight (kg)
62 ± 12
59 ± 11
72 ± 12
0.015
 BMI (kg/m2)
23.7 ± 3.9
22.6 ± 3.2
27.2 ± 4.6
0.010
 Diabetes (n)
12 (44.4%)
9 (42.9%)
3 (50.0%)
0.072
 Dialysis vintage (m)
93 ± 54
104 ± 56
55 ± 16
0.043
Fluid removal data(Mean ± STD)
P value
 TFR [ml]
1867 ± 891
1700 ± 815
2450 ± 969
0.068
 Treatment duration (hh:mm)
3:29 ± 0:28
3:28 ± 0:31
3:36 ± 0:18
0.555
 UFR [ml/kg/h]
8.8 ± 3.7
8.7 ± 4.0
9.2 ± 2.3
0.750
Pretreatment Hemodynamics(Mean ± STD)
P value
 SBP [mmHg]
136 ± 22
136 ± 22
135 ± 22
0.987
 MAP [mmHg]
90 ± 13
91 ± 13
84 ± 13
0.218
 CI [l/min/m2]
3.7 ± 0.8
3.8 ± 0.8
3.2 ± 0.7
0.115
 CPI [W/m2]
0.74 ± 0.22
0.78 ± 0.21
0.61 ± 0.20
0.086
 TPRI [dyn*sec/cm*m2]
2058 ± 503
2024 ± 519
2178 ± 465
0.519
 TBW [% of body weight]
54.2 ± 8.2%
55.8 ± 8.2%
48.5 ± 6.0%
0.055
CI Cardiac index, CPI Cardiac power index, MAP Mean arterial pressure, TFR Total fluid removed, TPRI Total peripheral resistance index, SBP Systolic BP, STD Standard deviation, UFR Ultra filtration rate, TBW Total body water
Table 2
Demographics, fluid removal data and pretreatment hemodynamic data of the 5 hemodynamic groups
Para.
All
Normal
Low CPI
Low TPRI (Vasodilated)
High CPI (Hyper dynamic)
High TPRI (Vaso constricted)
P-value among groups
Demographics (Mean ± STD) or (n, %)
 N
27 (100%)
11 (40.7%)
3 (11.1%)
7 (25.9%)
5 (18.5%)
1 (3.7%)
 
 Male
12 (44.4%)
5 (45.5%)
3 (100%)
2 (28.6%)
2 (40.0%)
0 (0%)
 
 Age (y)
65 ± 12
67 ± 15
65 ± 2
68 ± 8
57 ± 11
73
0.497
 Weight (kg)
62 ± 12
61 ± 8
81 ± 2
58 ± 12
54 ± 8
87
< 0.001
 BMI (kg/m2)
23.7 ± 3.9
22.9 ± 2.6
28.3 ± 0.6
23.9 ± 5.1
20.9 ± 2.6
30.0
0.030
 Diabetes
12 (44.4%)
4 (36.4%)
1 (33.3%)
4 (57.1%)
3 (60.0%)
0
0.596
 Dialysis vintage (m)
93 ± 54
96 ± 42
43 ± 7
94 ± 53
121 ± 84
72
0.410
Fluid removal data (Mean ± STD)
 Duration (hh:mm)
3:29 ± 0:28
3:21 ± 0:41
3:48 ± 0:11
3:29 ± 0:11
3:39 ± 0:15
3:29
0.631
 TFR (ml)
1867 ± 891
1736 ± 719
3000 ± 1082
1486 ± 511
1620 ± 782
3800
0.010
 UFR (ml/kg/h)
8.8 ± 3.7
9.1 ± 4.1
9.7 ± 3.3
7.7 ± 2.9
8.4 ± 4.6
12.5
0.758
Pretreatment hemodynamic (Mean ± STD)
 SBP (mmHg)
136 ± 22
138 ± 20
132 ± 25
120 ± 13
157 ± 20
157
0.02
 MAP (mmHg)
90 ± 13
91 ± 13
82 ± 9
83 ± 10
103 ± 8
89
0.58
 CI (l/min/m2)
3.7 ± 0.8
3.5 ± 0.5
2.6 ± 0.3
4.4 ± 0.9
4.1 ± 0.4
2.2
< 0.001
 CPI (w/m2)
0.74 ± 0.22
0.70 ± 0.16
0.47 ± 0.03
0.83 ± 0.25
0.94 ± 0.11
0.44
< 0.001
 TPRI (dyn*sec/cm2*m2)
2058 ± 503
2209 ± 438
2520 ± 562
1557 ± 205
2023 ± 225
3230
0.001
 TBW (%)
54.2 ± 8.2%
55.0 ± 6.4%
49.6 ± 3.6%
52.0 ± 10.0%
58.6 ± 11.3%
49
0.569
CI Cardiac index, CPI Cardiac power index, MAP Mean arterial pressure, TFR Total fluid removed, TPRI Total peripheral resistance, SBP Systolic BP, STD Standard deviation, UFR Ultra filtration rate, TBW Total body water

Discussion

This study utilized a novel non-invasive regional impedance cardiography technology to illustrate the hemodynamic status of chronic hemodialysis patients during dialysis treatments with fluid removal. The results showed no significant pretreatment hemodynamic differences between IDH and non IDH patient groups. In addition, both IDH patients and non IDH patients returned to normal ranges of blood pressure, cardiac index, cardiac power index and total peripheral resistance post dialysis session. Patients were divided into hemodynamic groups as per highest and lowest intradialytic hemodynamic changes. The highest or lowest intradialytic hemodynamic measurement point in each treatment was selected as the point with the largest difference from the normal values of MAP and CI.
In healthy subjects, CI and TPRI can correctly adjust according to the change in each other, maintaining a BP in the normal range and therefore stable hemodynamics. However, in a chronic hemodialysis patient, often with impaired cardiac function, reduced vessel elasticity, or decreased autonomic function, ultrafiltration and decompensation to either decrease in CI or TPRI by various mechanisms may cause a significant BP drop during dialysis. Cardiac insufficiency may result predominantly from hypertensive myocardial, valvular disease or coronary artery disease [1]. Both systolic and diastolic dysfunctions are common in this population [11]. Hypovolemia following ultrafiltration and concomitant diastolic dysfunction may reduce preload, which results in reduction in cardiac power. Cardiac power reduction induces reduction in cardiac output or BP or a combination of both, depending upon the degree of vasoconstriction (increased TPRI). Possible reasons for decreased TPRI (vasodilatation) may include old age, diabetic angiopathy often associated with autonomic dysfunction, and atherosclerotic disease [12, 13]. In our study, the low TPRI group had highest percentage of diabetic patients (57.1%) which is frequently associated with autonomic dysfunction.
Reliance on blood pressure monitoring cannot differentiate specific mechanisms of intradialytic IDH and IH episodes. However, hemodynamic measurements can discriminate patients on the basis of their cardiac power and peripheral resistance and provide opportunities for intervention. When blood pressures routinely fall, specific prophylaxis become practical during the actual treatment. Patients with low CPI or low TPRI or both changes combined may all present with decreased BP; however, their underlying causes are different, requiring different interventions. Even in the situation when patients do not have IDH symptoms, hemodynamic analysis can indicate an abnormal change in cardiac function or in peripheral resistance as well as compensatory changes in other functions.
Reduction in cardiac power during dialysis can be as a result of reduction in preload, which may be due to hypovolemia as such, or complicated by diastolic dysfunction. Normally in this instance, the cardiac power reduction is compensated for by vasoconstriction. However, in the hemodialysis patient, the compensation is often insufficient to maintain stable hemodialysis, manifesting as a consequent BP decrease. With on-line hemodynamic monitoring regularly, decisions can be made to reduce ultrafiltration rate when a reduction in cardiac power is observed, before the blood pressure falls or to increase target weight to prevent hypovolemia. In addition, even baseline hemodynamic information, can promote specific actions targeting the underlying hemodynamic abnormality. For patients with impaired cardiac function, examinations to evaluate cardiac function, such as electrocardiograph and echocardiograph are valuable in choosing appropriate cardiotonic drugs. For patients with low TPRI (vasodilatation), dialysate temperature can be reduced or adrenergic agonists (e.g. Midodrine) can be prophylactically prescribed. Salt restriction to reduce interdialytic weight gain may also be helpful. For patients with high cardiac power (high BP and high CI), target weight could be gradually reduced. For patients with high TPRI (vasoconstriction), provision of non-dialyzable vasodilator drugs such as ARBs may be useful.
The study has several limitations. First, the sample size of 27 patients is small. However, the gender and age composition of IDH group did not differ from the non IDH group. Further studies with larger sample sizes may help to limit selection bias. Secondly, this study is cross- sectional designed. Future interventional studies designed to test IDH patients’ response to different treatments according to their hemodynamic categorization will provide useful information.

Conclusion

This non-invasive whole-body bio-impedance cardiography technology provides insight into hemodynamic trends during dialysis. Knowledge of cardiac output index and the calculated parameters of cardiac power index and total peripheral resistance enable a multi-dimensional hemodynamic categorization, which is likely to be more informative than the current indirect dimension provided by blood pressure only. This technology may provide useful information for clinicians to make specific decisions according to underlying abnormal findings, such as increasing target weight for patients with low CPI, increasing ultrafiltration for patients with high CPI, prescribing adrenergic agonists to patients with low TPRI (vasodilatation) and vasodilators for patients with high TPRI.

Acknowledgements

We sincerely thank Mr. Adi Livneh for his great help during the preparation of this manuscript.

Funding

Partial financial support for the performance of the research was provided by NI Medical. This support consisted solely of the lending of a NICaS device and sensors for performance of the research.
Permission to conduct the study was granted by the Ethics Research Committee of Sichuan Provincial People's Hospital (No. 201611). The research was carried out in compliance with the Helsinki Declaration. Detailed written informed consent was obtained from the patients prior to inclusion.
Written informed consent was obtained from the patient for publication of this work and any accompanying images. A copy of the written consent is available for review by the Editor of this journal.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Handt A, Farber A, Szwed J. Intradialytic measurement of cardiac output by thermodilution and impedance cardiography. Clin Nephrol. 1977;7(2):61–4.PubMed Handt A, Farber A, Szwed J. Intradialytic measurement of cardiac output by thermodilution and impedance cardiography. Clin Nephrol. 1977;7(2):61–4.PubMed
2.
Zurück zum Zitat Levin NW, de Abreu M, Borges LE, Tavares Filho HA, Sarwar R, Gupta S, Hafeez T, Lev S, Williams C. Hemodynamic response to fluid removal during hemodialysis: categorization of causes of intradialytic hypotension. Nephrol Dial Transplant. 2018. https://doi.org/10.1093/ndt/gfy048. Levin NW, de Abreu M, Borges LE, Tavares Filho HA, Sarwar R, Gupta S, Hafeez T, Lev S, Williams C. Hemodynamic response to fluid removal during hemodialysis: categorization of causes of intradialytic hypotension. Nephrol Dial Transplant. 2018. https://​doi.​org/​10.​1093/​ndt/​gfy048.
3.
Zurück zum Zitat Cotter G, Moshkovitz Y, Kaluski E, Cohen AJ, Miller H, Goor D, Vered Z. Accurate, noninvasive continuous monitoring of cardiac output by whole-body electrical bioimpedance. Chest. 2004;125:1431–40.CrossRef Cotter G, Moshkovitz Y, Kaluski E, Cohen AJ, Miller H, Goor D, Vered Z. Accurate, noninvasive continuous monitoring of cardiac output by whole-body electrical bioimpedance. Chest. 2004;125:1431–40.CrossRef
4.
Zurück zum Zitat Paredes OL, Shite J, Shinke T, Watanabe S, Otake H, Matsumoto D, Imuro Y, Ogasawara D, Sawada T, Yokoyama M. Impedance cardiography for cardiac output estimation: reliability of wrist-to-ankle electrode configuration. Circ J. 2006;70:1164–8.CrossRef Paredes OL, Shite J, Shinke T, Watanabe S, Otake H, Matsumoto D, Imuro Y, Ogasawara D, Sawada T, Yokoyama M. Impedance cardiography for cardiac output estimation: reliability of wrist-to-ankle electrode configuration. Circ J. 2006;70:1164–8.CrossRef
5.
Zurück zum Zitat Germain MJ, Joubert J, O'Grady D et al. Comparison of stroke volume measurements during hemodialysis using bioimpedance cardiography and echocardiography. Hemodial Int. 2018;22(2):201-08.CrossRef Germain MJ, Joubert J, O'Grady D et al. Comparison of stroke volume measurements during hemodialysis using bioimpedance cardiography and echocardiography. Hemodial Int. 2018;22(2):201-08.CrossRef
6.
Zurück zum Zitat Cotter G, Schachner A, Sasson L, et al. Impedance cardiography revisited. Physiol Meas. 2006;27(9):817–27.CrossRef Cotter G, Schachner A, Sasson L, et al. Impedance cardiography revisited. Physiol Meas. 2006;27(9):817–27.CrossRef
7.
Zurück zum Zitat N.I. MEDICAL, LTD. Bioimpedance cardiac analyzing measuring system. FDA 510k clearance No. K080941 June 18, 2009. N.I. MEDICAL, LTD. Bioimpedance cardiac analyzing measuring system. FDA 510k clearance No. K080941 June 18, 2009.
8.
Zurück zum Zitat Du Bois D, Du bois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916;17(6):863–71.CrossRef Du Bois D, Du bois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916;17(6):863–71.CrossRef
9.
Zurück zum Zitat Cotter G, Moshkovitz Y, Kaluski E, et al. The role of cardiac power and systemic vascular resistance in the pathophysiology and diagnosis of patients with acute congestive heart failure. Eur J Heart Fail. 2003;5(4):443–51.CrossRef Cotter G, Moshkovitz Y, Kaluski E, et al. The role of cardiac power and systemic vascular resistance in the pathophysiology and diagnosis of patients with acute congestive heart failure. Eur J Heart Fail. 2003;5(4):443–51.CrossRef
10.
Zurück zum Zitat Mary E. Lough. Hemodynamic Monitoring, Evolving Technologies and Clinical Practice ELSEVIER ISBN: 978–0–323-08512-0. Mary E. Lough. Hemodynamic Monitoring, Evolving Technologies and Clinical Practice ELSEVIER ISBN: 978–0–323-08512-0.
11.
Zurück zum Zitat Wendi Bradshaw. The importance of mean arterial pressure as a patient assessment tool: in haemodialysis and acute care. Aust Nurs J. 2012;20(2):26–29. Wendi Bradshaw. The importance of mean arterial pressure as a patient assessment tool: in haemodialysis and acute care. Aust Nurs J. 2012;20(2):26–29.
12.
Zurück zum Zitat Poulin A, Bellemare PL, Fortier C, et al. Acute effects of cinacalcet on arterial stiffness and ventricular function in hemodialysis patients: A randomized double-blinded crossover study. Medicine (Baltimore). 2017;96(21):e6912.CrossRef Poulin A, Bellemare PL, Fortier C, et al. Acute effects of cinacalcet on arterial stiffness and ventricular function in hemodialysis patients: A randomized double-blinded crossover study. Medicine (Baltimore). 2017;96(21):e6912.CrossRef
13.
Zurück zum Zitat Ghigolea AB, Gherman-Caprioara M, Moldovan AR. Arterial stiffness: hemodialysis versus hemodiafiltration. Clujul Med. 2017;90(2):166–70.CrossRef Ghigolea AB, Gherman-Caprioara M, Moldovan AR. Arterial stiffness: hemodialysis versus hemodiafiltration. Clujul Med. 2017;90(2):166–70.CrossRef
Metadaten
Titel
The value of non-invasive measurement of cardiac output and total peripheral resistance to categorize significant changes of intradialytic blood pressure: a prospective study
verfasst von
Yunlin Feng
Yurong Zou
Yifei Zheng
Nathan W. Levin
Li Wang
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Nephrology / Ausgabe 1/2018
Elektronische ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-018-1087-y

Weitere Artikel der Ausgabe 1/2018

BMC Nephrology 1/2018 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.