High Central Venous Pressure and Right Ventricle Size are Related to Increased Stroke Volume to Negative Fluid Balance in Critically Ill Patients

DOI: https://doi.org/10.21203/rs.3.rs-149119/v1

Abstract

Background

This study aimed to determine whether a negative fluid balance can increase stroke volume (SV) and the relationship between changes in hemodynamics variables.

Methods

This prospective study included patients with high central venous pressure (CVP)  (≥8 mmHg) treated in the Critical Medicine Department of Peking Union Medical College Hospital. Patients were classified into two groups based on their right to left ventricle diastolic dimension (RVD/LVD) ratio using a cutoff value of 0.6. The hemodynamic and echo parameters of the two groups were recorded at baseline and after negative fluid balance.

Results

This study included 71 patients: 35 in Group 1 (RVD/LVD≥ 0.6) and 36 in Group 2 (RVD/LVD <0.6). Of all patients, 56.3% showed increased SV after negative fluid balance. Cox logistic regression analysis suggested that a high CVP and RVD/LVD ratio were significant independent risk factors for SV increase after negative fluid balance in critically patients without underlying cardiac disease. The AUC of CVP was 0.894. A CVP> 10.5 mmHg provided a sensitivity of 87.5% and a specificity of 77.4%. The AUC of CVP combined with the RVD/LVD ratio was 0.926 ,which provided a sensitivity of 92.6% and a specificity of 80.4%.

Conclusion

High CVP and RVD/LVD ratio were identified as independent risk factors for RV volume overload in critically patients without underlying cardiac disease. A reduced intravascular volume may increase SV for these patients. 

Background

In the management of hemodynamic instability, optimal adjustment of cardiac preload is essential for improving stroke volume (SV) and tissue perfusion. Fluid management in critical patients is crucial for prognosis, as both inadequate fluid or fluid overload can lead to negative outcomes[2]. In particular, fluid overload and high CVP are associated with poor outcomes[3]. Traditionally, fluid responsiveness is defined as the ability of the left ventricle (LV) to increase SV by 10–15% in response to fluid infusion [4]. However, we found that negative fluid balance can also increase SV under certain conditions in clinical practice. This is because the left and right ventricles (RV) are interdependent and interactive; thus, a change in volume and pressure load or a change in myocardial stiffness and contractility on one side may affect the ventricle on the other side[5]. Several studies have reported that fluid overload can increase RV size[6]. RV size is known to modify the response to fluid challenge, such that higher RV dilatation is associated with a lower likelihood of fluid responsiveness. If RV size further increases and the right to left ventricular end-diastolic dimensions (RVD/LVD) ratio is ≥ 0.6, the ventricular septum and pericardium may lead to a significant decrease in LV end-diastolic area and SV.

According to the understanding of fluid responsiveness, assessing the filling state of the RV is key to judging the volume status. However, evaluation of the filling state remains a challenge. Dynamic monitoring of right end-diastolic pressure and assessment of RV size via echocardiography are currently used as indices of RV filling state[710]. However, it is unknown whether a negative fluid balance can increase SV in patients with high CVP. Furthermore, the relationship between hemodynamic parameters and therapy outcomes are unclear. In the present study, we use our clinical database to address these questions.

Methods

Study design and patient enrollment

The primary aim of this study was to evaluate the relationship between hemodynamic parameters and VTI changes after negative fluid management in patients with high CVP. The study was designed as a prospective observational cohort study. All patients with abnormally high CVP (i.e., outside the normal range of 0–7 mmHg) treated at the Critical Medicine Department of Peking Union Medical College Hospital from May 2017 to October 2017 were included in the study sample. This study was approved by the ethics committee of Peking Union Medical College Hospital (S-617) and written informed consent was provided by the next of kin of all participants.

Inclusion and exclusion criteria

The inclusion criteria were (i) CVP ≥ 8 mmHg and (ii) age > 18 years. The exclusion criteria were (i) non-curative goals of therapy, (ii) a history of cardiac disease, and (iii) pulmonary hypertension or precaval malformations. Patients were divided into two groups according to RVD/LVD ratio: Group 1 comprised patients exhibiting RV dilatation (RVD/LVD ratio ≥ 0.6) and Group 2 comprised patients without RV dilatation (RV/LV ratio < 0.6).

Study protocol

All patients were treated as follows:

(1) All enrolled patients underwent the routine procedures of the Critical Care Department of Peking Union Medical College Hospital. Arterial and venous lines were inserted. Time 0(T0)was recorded at ICU admission, and T1 was recorded after a negative fluid balance of 500 mL within 30–60 minutes. Central venous and arterial blood gases analysis were performed at T0 and T1.

(2) Critical ultrasound was also performed at T0 and T1 by competent attending physicians or fellows using an ultrasound system equipped with an array probe(X-Porte,Sonosite, Bothell༌WA༌USA). At least five standard views (acoustic windows) were obtained and recorded for each scan: parasternal long axis, parasternal short axis, apical four-chamber, subcostal, and inferior vena cava (IVC). The following parameters were analyzed༈Figure 1༉: RVD/LVD ratio, tricuspid annular plane systolic excursion (TAPSE), diameter of the inferior vena cava (DIVC), left ventricular eject fraction (LVEF), and left ventricular stroke volume (LVSV). LVSV was calculated by combining the averaged left ventricular outflow tract velocity time integral (LVOT VTI) by pulsed wave Doppler for the whole respiratory cycle with 2D measurement of the related diameter[11]. RV size was also evaluated at end-expiration by the RVD/LVD ratio. RVD and LVD were measured in the apical 4-CH view by identifying the maximal distance between the ventricular endocardium and the interventricular septum perpendicular to the long axis at the beginning of the QRS complex[12]. All results were confirmed by two competent attending physicians.

(3) The method of negative fluid balance (application of diuretic drugs or continuous renal replacement therapy) was determined by the physician. No changes were made to mechanical ventilation, the set of vasoactive drugs, or the sedation level (Δ Richmond Agitation-Sedation Scale score < 1 point). Furthermore, no changes were made to the thoracic/abdominal pressure that may cause changes in CVP. In the case of patient hypoxia, the inhaled oxygen concentration was adjusted to ensure SP02 > 95%, Pa02 > 60 mmHg.

Data collection

Clinical data were extracted from the ICU computerized database and medical records, including patients’ socio-demographic data, biometric parameters, comorbidities, respiratory support mode, and Acute Physiology and Chronic Health Evaluation II scores. Hemodynamic parameters (heart rate, mean arterial blood pressure, and CVP) and echo parameters (such as DIVC, RVD/LVD ratio, LVEF, LVOT VTI, and TAPSE) were recorded at T0 and T1. Central venous oxygen saturation (ScVO2), central venous-arterial carbon dioxide difference (GAP), and serum lactate levels (lac) were also recorded at the same time. The primary outcome of the study was to clarify VTI change after negative fluid management in patients with high CVP. The secondary outcome was to evaluate the relationship between hemodynamic parameters and VTI change after negative fluid management.

Statistical analysis

Statistical analysis was performed using SPSS software version 20.0 for Windows (IBM, Armonk, NY). Results for continuous variables with a normal distribution (e.g., age, Acute Physiology and Chronic Health Evaluation II score) are reported as the mean ± standard deviation. Student’s t-test was used to compare means between two groups. Results for continuous variables that were not normally distributed are reported as the median (25th and 75th percentiles) and compared using nonparametric tests. The paired sample t-test was used for comparisons between groups before and after treatment. Cox regression models were used to measure the relative risk (RR) and 95% CI for each factor to discover how SV can increase after negative fluid balance. The correlation between RV and ∆VTI/T0VTI variables was analyzed using Pearson correlation analysis. Receiver operating characteristic (ROC) curves were used to determine the ability of the indices to predict LVOT VTI increase > 10% after negative fluid balance. The areas under the ROC curves (AUCs) were compared using DeLong’s test. The AUC, sensitivity, and specificity are expressed as values with 95% confidence intervals (CIs). A P value < 0.05 was considered to be statistically significant.

Results

Demographic and clinical characteristics of patients

During the study period, a total of 154 patients were admitted with CVP ≥ 8 mmHg. Of these, 65 did not meet the study criteria. In addition, nine patients were excluded due to poor TT image quality or incomplete image acquisition; six patients were excluded due to inconsistent judgments of the ultrasound results by the two physicians; and three patients were excluded due to new tachyarrhythmia during the trial. Thus, the final sample for analysis comprised 71 patients (33 males, 38 females)(Figure 2).

Of the final sample, 35 patients (49.3%) were in Group 1 (RVD/LVD ratio ≥ 0.6) and 36 patients (50.7%) were in Group 2 (RVD/LVD ratio༜0.6). Overall, 40 (56.3%) patients showed increased VTI after negative fluid balance. The demographical and clinical characteristics of all patients are shown in Table 1. In terms of hemodynamic parameters, patients in Group 1 had a higher CVP and GAP and lower ScV02 relative to Group 2 (all p < 0.05). No group differences were observed for HR, MAP, or lactate levels. Regarding the echo parameters, the RVD/LVD ratio, DIVC, ∆VTI,and ∆VTI /T0VTI were higher, while T0 VTI was lower, in Group 1 patients (all p < 0.05). There were no group differences in LVEF or TAPSE. Furthermore, there were no significant differences in demographic characteristics between the two groups.

Table 1

The demographic and clinical Characteristics of the Patients Included in This Study

Variable

All patients (N = 71)

Group 1(N = 35)

Group 2(N = 36)

P value

Gender(male/female)

71(33/38)

35(16/19)

36(17/19)

0.321

Age(year)

49 ± 16

47 ± 14

50 ± 15

0.334

APACHE II score(mean ± SD)

18 ± 8

19 ± 7

16 ± 6

0.478

Comorbidities(%)

       

Coronary artery disease

13

5

8

0.312

Hypertension

28

16

12

0.254

Diabetes mellitus

24

15

9

0.092

Choric renal failure

12

8

4

0.112

Choric liver failure

4

2

2

0.531

Stroke

8

3

5

0.546

Cancer

6

2

4

0.254

Hemodynamic parameters

       

Central venous pressure CVP(mmHg)

11.42 ± 2.27

12.74 ± 2.02

10.14 ± 1.70

< 0.001

Mean arterial blood pressure MAP(mmHg)

75.70 ± 8.724

75.23 ± 8.74

76.17 ± 7.81

0.635

Heart rate HR(bpm)

94.06 ± 15.86

96.43 ± 17.55

91.75 ± 153.88

0.216

GAP (mmHg)

5.42 ± 1.98

6.65 ± 1.66

4.23 ± 1.48

< 0.001

ScVO2%

68.44 ± 7.71

64.28 ± 6.10

72.49 ± 6.97

< 0.001

Arterial blood lactate level lac(mmol/l)

3.23 ± 0.79

3.41 ± 0.80

3.04 ± 0.74

0.050

Echo parameters

       

LVOT VTI

18.38 ± 2.72

16.75 ± 1.58

19.95 ± 2.67

< 0.001

Left ventricular eject fraction EF %

62.08 ± 5.04

61.51 ± 5.14

62.64 ± 4.94

0.351

DIVC (cm)

1.93 ± 0.28

2.11 ± 0.25

1.77 ± 0.20

< 0.001

TAPSE (cm)

2.16 ± 0.26

2.15 ± 0.28

2.18 ± 0.25

0.551

∆VTI

1.15 ± 1.45

1.97 ± 1.01

0.35 ± 1.38

< 0.001

∆VTI/T0VTI(%)

7.06 ± 8.09

11.89 ± 5.74

2.36 ± 7.28

< 0.001

∆VTI/T0VTI > 10%

40/71(56.3)

27/31

9/36(25)

< 0.001

RVD/LVD ratio

0.59 ± 0.10

0.67 ± 0.06

0.51 ± 0.05

< 0.001

RASS Score

-2.33 ± 1.16

-2.31 ± 1.22

-2.43 ± 1.17

0.674

Ventilation modes%

       

Non-invasive ventilation

13(18.3)

5(14.3)

6(16.7)

0.256

Invasive ventilation

58(81.7)

30(86.4)

30(83.3)

0.354

Pa02/Fi02(mmHg)

240.62 ± 46.19

213.37 ± 43.52

267.11 ± 31.01

< 0.001

T1 to T0 Time (minute)

50 ± 14

46 ± 14

53 ± 16

0.275

APACHE II Acute Physiology and Chronic Health Evaluation II scores, GAP Central venous-arterial carbon dioxide difference,ScV02 Central venous oxygen saturation༌DIVC Diameter of the inferior vena cava༌TPASE Tricuspid annular plane systolic excursion༌∆VTI Aortic velocity time integral(T1-T0)༌RVD/LVD ratio Right to left ventricular end-diastolic dimensions ratio༌RASS Score Richmond Agitation-Sedation Scale score.

Comparison of hemodynamic parameters at T0 and T1 between groups

As shown in Fig. 3, CVP, DIVC, and RVD/LVD ratio decreased significantly in both groups after negative fluid management (p < 0.05). None of the patients in our study experienced cardiac and/or tissue perfusion insufficiency. Cardiac output related parameters (LVOT VTI, GAP, ScV02) improved in Group 1 (p < 0.05), and the lactate level decreased in Group 2 ( p < 0.05). In addition, the P/F ratio increased significantly in both groups (p < 0.05).

Correlation between RV parameters and ∆VTI/T0VTI

Figure 4 presents the individual parameter values for RV and ∆VTI/T0VTI among all patients. CVP, RVD/LVD ratio, and DIVC were significantly correlated with ∆VTI/T0VTI (r = 0.64 (p < 0.05), 0.64(p < 0.053), and 0.59 (p < 0.05), respectively). By contrast, no relationship was observed between TAPSE and ∆VTI/T0VTI.

Risk factors for a LVOT VTI increase > 10% at T1

Cox regression analysis was used to examine possible risk factors for the outcomes of negative fluid management. Each of the hemodynamics variables was taken into account. The results revealed that CVP and RVD/LVD ratio were the most significant predictors (p < 0.05). The RRs of CVP and RVD/LVD ratio were 2.425 (95% CI, 1.458–4.003) and 8.588 (95% CI, 1.947–37.887), respectively. (Table 2)

Table 2

Multifactor Cox Logistic Regression Analysis for Possible Risk Factors

Variables

B

SE

Wald’s coefficient

OR

95% CI for OR

p value

         

Lower Upper

 

CVP

0.886

0.260

11.648

2.425

1.458 4.033

0.001

RVD/LVD ratio

2.150

0.757

8.064

8.588

1.947 37.887

0.005

CVP central venous pressure,RVD/LVD ratio

Effect of risk parameters for predicting a LVOT VTI increase > 10% at T1

The AUC of CVP for predicting a LVOT VTI increase > 10% at T1 was 0.883 (95% CI 0.804–0.902) The best diagnostic threshold was 10.5 mmHg, which provided a sensitivity of 87.5% and a specificity of 77.4%. (Fig. 5)

The regression equation for all of the risk parameters is:

Logit (P) =-10.474 + CVP *0.886 + RVD/LVD ratio *2.854 (≥ 0.6 = 1,<0.6 = 0).

The AUC of CVP combined with RVD/LVD ratio for predicting a LVOT VTI increase > 10% at T1 was 0.926 (95% CI 0.866–0.96). The best diagnostic threshold was 0.3689, which provided a sensitivity of 92.5% and a specificity of 80.6%. (Fig. 5)

Discussion

In the steady state, venous return is equal to cardiac output [13]; thus, right ventricular function is essential for venous return[14, 15]. The challenge of fluid management is to find the ideal preload to avoid the negative effect of ventricular interdependence on LV function and cardiac output. The right half of the heart behaves very differently from the left. Tyberg et al. [11] measured pericardial pressure and right atrial pressure in patients with acute excessive fluid loading before cardiopulmonary bypass. They found that these two types of pressure increased at the same rate, while the right atrial transmural pressure was unchanged. Previous studies have reported no relationship between right transmural pressure and right ventricular end-diastolic volume and stroke volume[16-18]. The healthy human RV fills at or below its unstressed volume, such that RV end-diastolic volume changes occur without any changes in RV diastolic wall stretch. Presumably, conformational changes in RV shape rather than stretch allow such volume changes to occur without measurable changes in the transmural right atrial pressure. With increased volume loading of the RV, right ventricular end-diastolic pressure and SV both increased. The relation of SV to venous return has a plateau: once this plateau is reached, any further increases in filling pressure will not augment cardiac output[19]. As a result, when RV reaches the flat part of the pressure-volume curve, the left heart no longer determines cardiac output. If the RV further increases in size and the right ventricular end-diastolic pressure rapidly increases, this can cause leftward ventricular septal (VS) shift. VS shift can result in decreased SV, leading to a phenomenon colloquially termed “falling off the Starling curve”[14]14141414[14][14][14].

The present study is a prospective study about the relationship between hemodynamic parameters during negative fluid management. The intervention was performed in a short period of time (39±17 minutes), while other factors affecting CVP were unchanged. Notably, 56.3% of our patients showed increased VTI after negative fluid balance, which is not exactly the same as the comment cognition. As the Starling curve does not have descending branches, it cannot explain the increase in SV after reducing the intravascular volume. Thus, we assume that patients experienced RV volume overload. A negative fluid balance can reduce RV volume, resulting in a rightward VS shift, an increase in left ventricular end-diastolic volume, and an increase in CO. However, it remains unclear if determining RV volume overload is key to therapy. In terms of the hemodynamic and echo parameters in our cohort, CVP, GAP, ScVO2, RV/LV diastolic area ratio, LVOT VTI, and DIVC differed significantly between the two groups. A high RVD/LVD ratio and CVP value were identified as risk factors for RV volume overload. Due to its geometrical complexity, assessment of RV volume is a very difficult task. Although quantitative validation is lacking, the correlation of RV linear dimensions with RV end-diastolic volumes appears to worsen with increased preload[20-22]. RVD/LVD ratio has been shown to be an indicator of RV size, and can thus provide reliable information about RV shape and size. A ratio ≥0.6, regardless of whether RV is within the normal reference limits, may relate to certain conditions such as RV volume overload[20]. In our study, we found that a R/V ratio ≥0.6 was a risk factor for VTI increase after negative fluid balance. Our results are similar to those of previous studies[23]. However, our measurement method is more clinically operable and repeatable. Wiesenack et al. measured RV volume in patients with mechanical ventilation to help guide fluid resuscitation. However, in patients with pulmonary embolism and chronic pulmonary hypertension, only RVEDA/LVEDA>1 indicates RV volume overload[24, 25]. When R/V ratio is applied clinically, it should be considered in combination with the patient’s underlying disease and ventricular septal morphology.

We also identified high CVP as a significant risk factor for RV volume overload. The gold standard for evaluating RV filling pressure is invasive monitoring using a centrally placed venous catheter[26]. CVP can be used as a surrogate of intravascular volume, and is often applied at the bedside to guide fluid administration in critically ill patients. Since the filling pressure and SV of the RV do not have a linear relationship, it has recently been acknowledged that CVP is ineffective for evaluating a patient’s fluid responsiveness[27-29]. While the absolute value of CVP alone cannot predict fluid responsiveness, it is necessary to understand that CVP is a marker of pressure and a regulating factor of venous return. Thus, an increase in CVP can be used as a clinical safety mechanism to avoid fluid overload and high RV filling pressure. We consider CVP to be a safety-related indicator rather than a cardiac preload indicator in clinical settings [30]. In the present study, we found that a high CVP may reflect that the RV volume load has exceeded the normal range; failure to appreciate this limit may result in a VS rightward shift and reduced SV. It has been proposed that, once CVP has exceeded 10–14 mm Hg in non-intubated patients with acute RV myocardial infarction, further volume loading is detrimental. A mean CVP > 14 mmHg is almost always associated with a reduced RVSWI[31, 32]. Garcia-Montilla et al. [33] reported that the optimal RV filling pressure in patients with acute respiratory distress syndrome (ARDS) is 13±2 mm Hg. Furthermore, they demonstrated that once CVP reaches 15 mmHg, further increments in filling pressure did not increase RVSPG; rather, due to overstretching of myocardial fibers, RVSPG decreased. These values may be considered the optimal RV filling pressure in patients with acute RV infarction or ARDS. Our results suggest that CVP > 10.5 mmHg can predict whether VTI increases after a negative fluid balance in patients without underlying cardiac disease with high sensitivity but low specificity. When we combined the two risk factors, the predictive ability improved.

Notably, none of our patients experienced CO and tissue perfusion insufficiency after negative fluid management. However, the oxygenation index improved in both groups—especially Group 1. It is well known that fluid overload may lead to pulmonary edema and failure of weaning from mechanical ventilation. A milestone study by Wiederman et al.[34] showed that a conservative fluid management protocol aimed to lower CVP resulted in a major reduction in net fluid balance, improving lung function and shortening the duration of mechanical ventilation. Clinicians should be alert to high CVP as it may indicate increased RV tension and leftward VS, potentially leading to increased left ventricular filling pressure and pulmonary edema. Accurate fluid therapy for patients with high CVP will not lead to hypoperfusion, but will be beneficial for other organs.

Lastly, this study is subject to several limitations. Firstly, our study included a convenience sample of participants from a single institution, and may have thus systematically excluded some participant groups. As a pragmatic study, this population had similar characteristics to previous clinical audits using the same inclusion criteria. Nevertheless, additional clinical research is needed to confirm our findings. Secondly, although we excluded patients with any pre-existing heart disease based on clinical records or echocardiography, some patients might have developed subclinical heart disease after their last echocardiography. Thirdly, the determination of RV volume load may be imperfect. In our experience, estimation of RV/LV size ratio is fairly accurate, even when assessed by trainees relative to an experienced clinicians.

Conclusion

Traditionally, RV function is thought to be of minimal relevance to overall cardiovascular homeostasis. Patients with normal cardiac function require precise fluid management to prevent a decrease in CO resulting from inappropriate RV filling. In the present study, we identified a high CVP value and RVD/LVD ratio as risk factors for RV volume overload. Further studies of whether precise fluid management can improve patients’ 28-day mortality, shorten ICU stay, or shorten the duration of mechanical ventilation are required.

Declarations

- Ethical Approval and Consent to participate

Ethics approval and consent to participate: This study was approved by the ethics

committee of the Peking Union Medical College Hospital (S-617), and written informed consent was provided by the next of kin of all subjects .

- Consent for publication

Not applicable.

- Availability of supporting data

Not applicable.

- Competing interests

The authors declare that they have no conflicts of interest.

- Funding

Not applicable.

- Authors' contributions

X. Wang and D. Liu conceived and designed the study. H. Zhao and X. Ding were performed the ultrasound test. H. Zhao wrote the draft manuscript. D. Liu gave final approval of the version to be published. All of the authors read and approved the final manuscript.

- Acknowledgements

Not applicable.

- Authors' information

All the authors are come from the Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China

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