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Mixed venous oxygen tension is a crucial prognostic factor in pulmonary hypertension: a retrospective cohort study

BMC Pulmonary Medicine volume 22, Article number: 282 (2022) Cite this article

Abstract

Background

The prognostic value of mixed venous oxygen tension (PvO2) at pulmonary hypertension diagnosis treated with selective pulmonary vasodilators remains unclear. This study sought to investigate the association of PvO2 with long-term prognosis in pulmonary arterial hypertension (PAH) and medically treated chronic thromboembolic pulmonary hypertension (CTEPH) and to identify the distinct mechanisms influencing tissue hypoxia in patients with CTEPH or PAH.

Methods

We retrospectively analyzed data from 138 (age: 50.2 ± 16.6 years, 81.9% women) and 268 (age: 57.4 ± 13.1 years, 72.8% women) patients with PAH and CTEPH, respectively, diagnosed at our institution from 1983 to 2018. We analyzed the survival rates of patients with/without tissue hypoxia (PvO2 < 35 mmHg) and identified their prognostic factors based on the pulmonary hypertension risk stratification guidelines.

Results

Survival was significantly poorer in patients with tissue hypoxia than in those without it for PAH (P = 0.001) and CTEPH (P = 0.017) treated with selective pulmonary vasodilators. In patients with PAH, PvO2 more strongly correlated with prognosis than other hemodynamic prognostic factors regardless of selective pulmonary vasodilators usage. PvO2 was the only significant prognostic factor in patients with CTEPH treated with pulmonary hypertension medication. Patients with CTEPH experiencing tissue hypoxia exhibited significantly poorer survival than those in the intervention group (P < 0.001). PvO2 more strongly correlated with the cardiac index (CI) than the alveolar-arterial oxygen gradient (A-aDO2) in PAH; whereas in CTEPH, PvO2 was more strongly correlated with A-aDO2 than with CI.

Conclusions

PvO2 may represent a crucial prognostic factor for pulmonary hypertension. The prognostic impact of tissue hypoxia affects different aspects of PAH and CTEPH, thereby reflecting their distinct pathogenesis.

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Background

Pulmonary hypertension (PH) is a progressive disease characterized by abnormal remodeling of small pulmonary arteries, elevated pulmonary arterial pressure, and increased pulmonary vascular resistance (PVR) owing to various etiologies; it can lead to right ventricular dysfunction and death [1]. Currently, selective pulmonary vasodilators that act via three different pathways are available for treating pulmonary arterial hypertension (PAH), and clinicians recommend initial combination therapy [2, 3]. Despite the establishment of treatment algorithms and reduced mortality in PAH, the number of patients in the red zone (the high-risk group) as per the European Society of Cardiology (ESC) and European Respiratory Society (ERS) PH risk stratification is still high [4]. Conversely, patients with medically treated chronic thromboembolic pulmonary hypertension (CTEPH) not indicated for pulmonary endarterectomy (PEA) or balloon pulmonary angioplasty (BPA) have poor prognosis [5].

The high mortality of PAH warrants an accurate prognosis estimation for guiding its management. The 2015 ESC/ERS PH risk stratification guidelines proposed the right atrial pressure (RAP), cardiac index (CI), and mixed venous oxygen saturation (SvO2) as hemodynamic prognostic risk factors for PAH, and French risk stratification also defined intermediate-risk (yellow zone) or high-risk (red zone) criteria as RAP ≥ 8 mmHg and CI < 2.5 L/min/m2 [6, 7]. Sandqvist et al. reported that the ESC/ERS risk stratification for PAH also predicted survival in CTEPH [8]. Hurdmane et al. reported that age, SvO2, and World Health Organization (WHO) functional class were independent predictors of survival in 101 registered patients with PH and chronic obstructive pulmonary disease (COPD) in the ASPIRE (Assessing the Spectrum of Pulmonary Hypertension Identified at a Referral Centre) study; moreover, an SvO2 of 65% was reported as a better threshold for defining poor outcomes [9]. SvO2 improves the adequacy of tissue oxygenation, which is an essential component of normal organ function. Moreover, SvO2 and mixed venous oxygen tension (PvO2) are related to tissue oxygenation; an SvO2 of 65% corresponds to a PvO2 of 35 mmHg according to the oxygen dissociation curve in the normal state [10]. Mithoefer et al. reported that normal PvO2 values negatively correlate with age; at 70 years, PvO2 decreases to approximately the lower limit of 35 mmHg [11, 12]. Accordingly, a PvO2 < 35 mmHg is used as a key clinical threshold for tissue hypoxia in COPD and PH [10, 11, 13,14,15]. Physiologically, unlike SvO2, PvO2 reflects actual tissue hypoxia. However, the relevance of tissue hypoxia (defined by a PvO2 < 35 mmHg) in PAH and CTEPH pathogenesis has not been reported. Moreover, tissue oxygenation is reportedly superior to cardiac function for assessing the disease severity and predicting survival in PAH [16]. Kapitan et al. [17] reported that the main cause of hypoxemia in CTEPH was ventilation-perfusion mismatch, and that low PvO2, and PEA improved both; nonetheless, these issues remain controversial. Thus, in the present study, we aimed to investigate the association of PvO2 with long-term prognosis in patients with PAH and medically treated CTEPH and to determine the relevance of PvO2 relative to other prognostic factors. Furthermore, we aimed to clarify and compare the mechanisms underlying tissue hypoxia in CTEPH and PAH.

Methods

Study participants and design

This retrospective cohort study included patients diagnosed with PAH or CTEPH (naïve patients who had not received PH treatment) at the Chiba University Hospital between January 1983 and December 2018 (Additional file 2: Fig. S1). These patients were identified from the Chiba University Hospital Pulmonary Hypertension Center Registry. Hemodynamic parameters were measured during the first right heart catheterization (RHC). The patients were followed up until September 2021. Follow-up data were obtained by contacting the patients or their physicians.

Ethical approval

This study was conducted in accordance with the tenets of the amended Declaration of Helsinki. Patient identity was concealed in this study, and data were compiled according to the requirements of the Japanese Ministry of Health, Labour and Welfare, which is dedicated to privacy, information technology, and civil rights. The research protocol for this study was approved by the Research Ethics Committee of the Chiba University School of Medicine (Approval No.: 2584); we had already performed "opt-out" by notifying or disclosing information. Written informed consent was obtained from all patients who were enrolled since 2009, when the requirement became mandatory (Approval No.: 826). In the case of patients who died before 2008, written informed consent was obtained from their next of kin when we examined prognosis in the relevant study (Approval No.: 84). The study database was anonymized, and all experiments were performed in accordance with the relevant guidelines and regulations.

PAH

Patients with a mean pulmonary artery pressure (mPAP) ≥ 25 mmHg, pulmonary artery wedge pressure (PAWP) ≤ 15 mmHg, and PVR > 3 Wood units were considered to have PAH [6]. Patients suspected of complicating PH due to chronic pulmonary disease were excluded where possible by having computed tomography scans read by two respiratory experts. We diagnosed 167 patients with PAH but excluded 13 without PvO2 data breathing room air, 11 who died due to other diseases during follow-up, 4 with left to right shunt due to atrial septal defect, and 1 with anemia (hemoglobin ≤ 8 g/dL) (Additional file 2: Fig. S1A). Of the remaining 138 patients analyzed, 61 were diagnosed with idiopathic or hereditary PAH (Additional file 1: Table S1). By July 2021, 61 patients had died (35 patients treated with selective pulmonary vasodilators) and 77 had survived. The mean follow-up period was 7.0 ± 7.0 years.

CTEPH

Robust evidence supports a new definition of pre-capillary PH, referred to as CTEPH [5]. Patients with CTEPH were defined as follows: (1) mPAP ≥ 25 mmHg and PAWP ≤ 15 mmHg; (2) persistent symptoms > 3 months; and (3) chronic thrombi on lung perfusion images, enhanced computed tomography, or pulmonary angiography. We diagnosed 319 patients with CTEPH but excluded 5 with accompanying respiratory diseases, 3 without data on PvO2 breathing room air, 19 who died due to other diseases during follow-up, and 24 who died perioperatively (Additional file 2: Fig. S1B). Five patients had hyperthyroidism and six had hypothyroidism; however, they were well managed with treatment, and hence these patients were included. No severe anemia was observed. The remaining 268 patients were classified into three groups according to the treatment strategy. Patients who underwent PEA and BPA (either BPA after PEA or PEA after BPA) were classified into the PEA/BPA group. Patients treated with selective pulmonary vasodilators composed the PH medication group. Patients treated solely with anticoagulants and oxygen therapy composed the supportive group. By July 2021, 60 patients had died (20 patients with the PEA/BPA group and 25 with the PH medication group) and 208 survived. The mean follow-up period was 9.6 ± 6.9 years.

RHC

All patients were admitted and underwent RHC in the supine position with zero point of the transducer set at the intersection of the fourth intercostal space and mid-chest level. The pulmonary pressure was measured from the superior vena cava to PAWP at end-expiration in room air conditions whenever possible. The cardiac output was measured using a thermodilution method averaging at least three within 10% variation, and the CI and PVR were calculated.

Blood gas analysis

Mixed venous blood for gas analysis was obtained from the distal tip of the Swan–Ganz catheter and was freely located in the major pulmonary artery. Blood gas analysis of arterial oxygen tension (PaO2) was performed by puncture of the radial or femoral artery. All blood gas analyses were performed in room air during the RHC and measured at the time of (1) the first diagnosis of pulmonary hypertension and (2) the latest follow-up. The alveolar-arterial oxygen gradient (A-aDO2) was calculated using the following equation: A-aDO2 = 150 − PaCO2/0.8 − PaO2, where PaCO2 refers to the arterial carbon dioxide tension.

Statistical analysis

The results are expressed as mean ± standard deviation for continuous variables and as numbers and percentages for categorical variables. If the results did not show a normal distribution, a nonparametric test was performed. Comparisons between the groups were performed using the chi-squared test, Mann–Whitney U test, or analysis of variance with the Kruskal–Wallis test as appropriate. The Kaplan–Meier method was used to estimate the disease-specific and overall survival using the log-rank test for comparison. Differences between continuous variables, such as hemodynamic or oxygenation parameters, were compared using the paired t-test. Univariate and multivariate Cox proportional hazard models were used to examine the prognostic factors. Variable selection was based on the ESC/ERS risk stratification 2015 in addition to age, mPAP, PVR, A-aDO2, brain natriuretic peptide (BNP), 6-min walk distance (6MWD), percent predicted forced vital capacity, percent predicted carbon monoxide diffusing capacity (DLCO, %pred.), and WHO functional class. The predicted survival span in elderly patients is short, and mPAP decreased as patients with PAH became older [18]. A multivariate analysis was carried out with the addition of age, which was considered important as a prognostic factor, and the hemodynamic parameters, included in the 2015 ESC/ERS PH risk stratification guidelines and French risk stratification intermediate-risk (yellow zone) or high-risk (red zone) criteria. However, as ESC/ERS risk stratification for CTEPH was not widely accepted, we built another model in the PEA/BPA and PH medication groups based on significant prognostic factors in the univariate analysis. We considered a maximum of five parameters in a multivariate analysis for the number of events (range 20–35). Pearson’s correlation coefficient and multiple regression analysis were used to estimate the correlational and confounding factors for PvO2. Statistical significance was set at P < 0.05. Significant differences in the comparison of two survival curves among the three groups were determined using Bonferroni correction. All statistical analyses were performed using GraphPad Prism 8® (GraphPad Software, Inc., La Jolla, CA, USA) and JMP Pro 15 (Japanese version; SAS Institute Inc., Tokyo, Japan).

Results

Patient characteristics stratified by PvO2 of 35 mmHg and categorized by treatment

The mean age of the 138 patients with PAH was 50.2 ± 16.6 years; the majority were women (81.9%), and 44.2% were diagnosed with idiopathic (IPAH) or heritable (HPAH) PAH (Additional file 1: Table S1). Table 1 shows the characteristics of patients with PAH stratified by PvO2 of 35 mmHg at diagnosis. Patients with PvO2 < 35 mmHg showed that most parameters (WHO functional class, hemodynamics, gas exchange, and even exercise endurance) were significantly worse compared to those without. Regarding the characteristics of patients treated and not treated with selective pulmonary vasodilators, patients treated with selective pulmonary vasodilators were significantly older and had significantly lower PaO2 and higher A-aDO2 than in untreated patients; however, no significant differences were observed in the other hemodynamic characteristics (Additional file 1: Table S2). In Japan, epoprostenol and bosentan have been available since 1999 and 2005, respectively. Among the untreated group, 25 patients died before 1999, 3 had oxygen therapy only for PH associated with portal hypertension, 3 had connective tissue disease (CTD) associated PAH that required intensified treatment of CTD with immunosuppressive drugs, and 3 had side effects from selective pulmonary vasodilators that failed to treat the PAH.

Table 1 Characteristics of patients with PAH stratified by PvO2 of 35 mmHg
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The mean age of the 268 patients with CTEPH was 57.4 ± 13.1 years, and the majority were women (72.8%). Table 2 indicates the characteristics of patients with CTEPH stratified by PvO2 of 35 mmHg at diagnosis. The results were similar to those in PAH: patients with PvO2 < 35 mmHg showed that WHO functional class, hemodynamics, gas exchange, and even exercise endurance were significantly worse compared to those without in CTEPH. There was a significant difference in treatment between the two groups. Additional file 1: Table S3 summarizes the patient characteristics according to the treatment modality. The PEA/BPA group was significantly younger and had a significantly higher mPAP than the PH medication group. In the PEA/BPA group, 51 patients had residual PH and were treated with selective pulmonary vasodilators.

Table 2 Characteristics of patients with CTEPH stratified by PvO2 of 35 mmHg
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Survival analysis of the treatment groups

Patients with PAH and tissue hypoxia at diagnosis had significantly poorer survival than those without tissue hypoxia, regardless of treatment with selective pulmonary vasodilators (treated: P = 0.001, Fig. 1A; untreated: P < 0.001, Fig. 1B). These results were similar in the IPAH/HPAH group (treated: P = 0.006, Additional file 3: Fig. S2A; untreated: P = 0.011, Additional file 3: Fig. S2B). For patients with CTEPH in the PEA/BPA group, there was no significant difference in survival between those with and without tissue hypoxia (P = 0.445, Fig. 2A). However, survival was significantly poorer in patients with tissue hypoxia than in those without tissue hypoxia in the PH medication (P = 0.017, Fig. 2B) and supportive (P = 0.043) groups. In the absence of tissue hypoxia at diagnosis, there was a significant difference in survival among the three groups, with poor prognosis in the supportive group (P = 0.002); however, no significant difference was observed between the PEA/BPA and PH medication groups (P = 0.366, Fig. 2C). In the presence of tissue hypoxia at diagnosis, significant differences in survival were observed among the three groups (P < 0.001) and between the PEA/BPA and PH medication groups (P < 0.001, Fig. 2D).

Fig. 1
figure 1

Kaplan–Meier survival curves stratified by the presence of tissue hypoxia (PvO2 < 35 mmHg) in patients with PAH. A Group treated with selective pulmonary vasodilators (P = 0.001). B Untreated group (P < 0.001). PAH pulmonary arterial hypertension, PvO2 mixed venous oxygen tension

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Fig. 2
figure 2

A, B Kaplan–Meier survival curves stratified by the presence of tissue hypoxia (PvO2 < 35 mmHg) in patients with CTEPH. A PEA/BPA group (P = 0.445). B PH medication group (P = 0.017). C Comparison among the PEA/BPA, PH medication, and supportive groups in the absence of tissue hypoxia (P = 0.002). There is no significant difference in survival between the PEA/BPA and PH medication groups (P = 0.366). D Comparison among the three groups in the presence of tissue hypoxia (P < 0.001). The PEA/BPA group exhibits better survival than the PH medication group (P < 0.001). BPA balloon pulmonary angioplasty, CTEPH chronic thromboembolic pulmonary hypertension, PEA pulmonary endarterectomy, PH pulmonary hypertension, PvO2 mixed venous oxygen tension

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Prognostic factors stratified by treatment

Univariate analyses revealed that age, mPAP, CI, CI < 2.5 L/min/m2, PVR, PaO2, PvO2, PvO2 < 35 mmHg, SvO2, A-aDO2, BNP, 6MWD, DLCO, %pred., WHO functional class, and medication significantly correlated with prognosis in all PAH patients. Multivariate analyses were made by two models: using continuous variables by ESC/ERS risk stratification, medication, and age as model 1; and using categorical variables by ESC/ERS and French risk stratification in yellow and red zone, age, and medication as model 2. In model 1, age, CI, PvO2, and medication were significant prognostic factors, while in model 2, PvO2 < 35 mmHg, CI < 2.5 L/min/m2, age, and medication were significant prognostic factors (Table 3).

Table 3 Univariate and multivariate analyses of prognostic factors for patients with PAH (N = 138)
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Furthermore, additional analyses with/without treatment in PAH showed that age, CI, CI < 2.5 L/min/m2, PVR, PaO2, PvO2, PvO2 < 35 mmHg, SvO2, A-aDO2, BNP, 6MWD, and WHO functional class were significant prognostic factors in the group treated with selective pulmonary vasodilators (Table 4), and that mPAP, CI, CI < 2.5 L/min/m2, PVR, PvO2, PvO2 < 35 mmHg, SvO2, A-aDO2, DLCO, %pred., and WHO functional class were significantly correlated with prognosis in the untreated group (Table 5). As to multivariate analyses, in the group treated with selective vasodilators, PvO2, CI, and age were prognostic factors in both models 1 and 2 (Table 4). Whereas in the untreated group, PvO2 was the only significant prognostic factor in models 1 and 2 (Table 5).

Table 4 Univariate and multivariate analyses of prognostic factors for patients with PAH with pulmonary vasodilator treatment
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Table 5 Univariate and multivariate analyses of prognostic factors for patients with PAH without pulmonary vasodilator treatment
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In all patients with CTEPH, PvO2 and PEA/BPA treatment were prognostic factors, however, PvO2 < 35 mmHg was not (Table 6). Multivariate analyses showed that PEA/BPA treatment and PvO2 or PvO2 < 35 mmHg were significant prognostic factors by models 1 and 2, respectively (Table 6).

Table 6 Univariate and multivariate analyses of prognostic factors for patients with CTEPH (N = 277)
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Furthermore, we conducted additional analyses by treatment modality in CTEPH. In the PEA/BPA group, only 6MWD and DLCO, %pred. correlated with the prognosis; however, in the PH medication group, RAP, mPAP, PVR, PaO2, PvO2, PvO2 < 35 mmHg, RAP ≥ 8 mmHg, SvO2, A-aDO2, BNP, 6MWD, and WHO functional class significantly correlated with the prognosis (Tables 7, 8). In the PEA/BPA group, multivariate analyses showed that no significant prognostic factors other than age remained in any of the models (Table 7), whereas in the PH medication group, PvO2 or PvO2 < 35 mmHg were significant prognostic factor by models 1, 2 and 3, respectively (Table 8).

Table 7 Univariate and multivariate analyses of prognostic factors for patients in the CTEPH PEA/BPA group
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Table 8 Univariate and multivariate analyses of prognostic factors for patients in the CTEPH PH medication group
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Relationships between PvO2 and CI/A-aDO2

In patients with PAH, PvO2 significantly correlated with CI and A-aDO2 (CI: r = 0.642, P < 0.001; A-aDO2: r =  − 0.549, P < 0.001; Additional file 4: Fig. S3A). The standardized coefficients of CI were larger than those of A-aDO2 in the multiple regression analysis, suggesting that CI was a more important determinant of PvO2 than was A-aDO2 (CI: β = 0.522, A-aDO2: β =  − 0.435; Additional file 1: Table S4).

In patients with CTEPH, PvO2 correlated with A-aDO2 and CI (CI: r = 0.470, P < 0.001; A-aDO2: r =  − 0.678, P < 0.001; Additional file 4: Fig. S3B). Conversely, the standardized coefficients of A-aDO2 were larger than that of CI, suggesting that A-aDO2 was a more important determinant of PvO2 than CI (CI: β = 0.418, A-aDO2: β =  − 0.645; Additional file 1: Table S5).

Treatment-induced improvements in hemodynamics/oxygenation

We examined the post-treatment hemodynamic and oxygenation parameters at the most recent RHC (7.2 ± 7.2 years after PAH diagnosis and treatment with selective pulmonary vasodilators; 2.7 ± 4.0 years for the PEA/BPA group; and 4.8 ± 4.5 years for patients with CTEPH who received PH medication). Only mPAP and PVR were significantly improved in the PAH and PH medication groups comprising patients with CTEPH. However, no improvements were observed in oxygenation parameters, including PvO2 (Additional file 1: Tables S6, S7). Similar trends were observed in the IPAH/HPAH group (data not shown). In the PEA/BPA group comprising patients with CTEPH, all hemodynamic and oxygenation parameters, including PvO2, were significantly improved (Additional file 1: Table S7).

Prognostic differences by eras of diagnosis in PAH and CTEPH

Recently, survival in PAH has improved significantly as upfront combination therapy has become the mainstream treatment based on data from 2008 to 2013 [19], and riociguat for CTEPH became available after 2014. Hence, we analyzed 35 patients in the PAH treated group and 14 patients in the CTEPH PH medication group diagnosed after 2014. Survival was significantly poorer in patients with tissue hypoxia at diagnosis than in those without tissue hypoxia in PAH (P = 0.002), and PvO2 significantly correlated with the prognosis in univariate analysis (P = 0.024). No statistical significance was seen due to the small events in multivariate analysis. No deaths were recorded among patients with CTEPH, and hence we could not perform any analyses.

Discussion

This is a novel study to demonstrate that among the pulmonary hemodynamic parameters included in the 2015 ESC/ERS risk stratification criteria and French risk stratification criteria, lower PvO2 (especially PvO2 < 35 mmHg associated with tissue hypoxia) was a significant prognostic factor in patients with PAH and CTEPH.

Lower PvO2 was significantly associated with poor prognosis in patients with PAH and CTEPH independent of treatment with selective pulmonary vasodilators. However, no hemodynamic parameter (RAP, CI, and PvO2) correlated with the prognosis in the PEA/BPA group (Table 7). In patients with PAH and CTEPH, pulmonary vasodilator treatment improved the mPAP and PVR, but not PaO2 and PvO2, whereas invasive treatment with PEA and BPA improved both PaO2 and PvO2. Selective pulmonary vasodilators inhibit vasoconstriction, thereby decreasing the PVR and mPAP; concurrently, these agents cause a worsening in ventilation-perfusion matching, resulting in decreased PaO2 and maintenance of PvO2 in PH due to respiratory diseases [20]. Contrarily, in PAH hypocapnia is reported to be a risk of mortality, and may reflect the extent of the pulmonary vascular disease, cardiac dysfunction, and impairment in oxygen delivery [21]. Then pulmonary vasodilators may adjust hyperventilation due to pulmonary vascular disease, resulting in increased PaCO2. In our study, PaCO2 increased without worsening of A-aDO2 in patients with PAH and CTEPH who were treated by selective pulmonary vasodilators. Although 48% of PAH patients had worsening of A-aDO2 after treatment, the remaining patients demonstrated improved A-aDO2 with significant improvement in PVR compared to those with worsened A-aDO2 (ΔPVR − 3.3 ± 4.1 Wood units in the improved A-aDO2 group versus − 1.0 ± 4.5 Wood units in the worsened A-aDO2 group, P = 0.010) (data not shown). Thus, long-term effects of selective pulmonary vasodilators on ventilation-perfusion mismatch may not be significant in PAH. However, PvO2 remained a strong prognostic factor even in patients who received selective pulmonary vasodilators. It may be caused by a multi-factorial mechanism related to worsening of PaO2 as well as change in PVR and cardiac output. Conversely, PEA and BPA treatment was more effective in improving hemodynamics, as well as PaO2 and PvO2. These data are consistent with those reported in previous studies by Tanabe et al. [22] and Isobe et al. [23] suggesting that baseline PvO2 is unlikely to correlate with prognosis. In patients without tissue hypoxia, no significant differences in survival were observed between the PH medication and PEA/BPA groups, although patients with milder diseases were included in the PH medication group. First, as shown in Additional file 1: Table S7, all hemodynamics at diagnosis indicate improvement predominantly after treatment. The prognosis of PEA is associated with perioperative death and residual PH in the long-term postoperative period [24, 25]. In this study, although perioperative mortality was excluded, 51 patients were treated with selective pulmonary vasodilators due to residual PH, which might have influenced the results. Although 6MWD and DLCO, %pred. were associated with long-term survival in the univariate analysis, we were unable to build a good model in the multivariate analysis using these parameters and PvO2. Furthermore, the perioperative mortality was 20% in patients with PVR > 1200 dynes s cm−5; our multidisciplinary team discussed whether surgery should be avoided in cases where the PVR is > 1200 dynes s cm−5 [26]. Moreover, the surgeon’s technical ability may have influenced the results of the PEA and BPA, suggesting that the levels of these hemodynamic factors at the time of diagnosis did not indicate their prognosis.

Thus, treatment with selective pulmonary vasodilators may be an option for patients with CTEPH without tissue hypoxia. Conversely, PEA or BPA is strongly recommended for patients with tissue hypoxia if there is an indication for PEA or BPA.

In this study, the univariate and multivariate Cox proportional hazards models revealed that PvO2 more strongly correlated with prognosis than the other hemodynamic prognostic factors (RAP and CI) in patients with PAH and medically treated CTEPH diagnosed from 1983 to 2018. Recently survival in PAH has improved significantly due to upfront combination therapy becoming the mainstream treatment modality [19]. However, PvO2 is still an important prognostic factor in univariate analysis. Surprisingly, PvO2 < 35 mmHg was further validated as a prognostic factor in multivariate analyses adjusted by other parameters in the present study. This finding is consistent with that of Khirfan et al.’s study, which was based on ESC/ERS risk stratification and indicated that SvO2 was more strongly correlated with prognosis than were thermodilution CI and other parameters in patients with IPAH/HPAH [16]. Tissue oxygenation can be explained using Krogh’s tissue cylinder model [27] (described in Additional file 1: Appendix S1), which forms the theoretical basis for understanding the exchange of oxygen and other solutes between the capillaries and tissues [28]. However, blood sampling at the capillary terminals (termed as the “lethal corner”) is challenging, and tissue hypoxia can be deduced using the mixed venous blood oxygen partial pressure [29, 30]. Based on the oxygen dissociation curve (described in Additional file 1: Appendix S2 and Additional file 5: Fig. S4), SvO2 may be normal in a state of alkalosis (e.g., with diuretic use), notwithstanding the presence of tissue hypoxia. Moreover, PvO2 can be measured directly using a blood gas analysis. In contrast, SvO2 cannot be measured directly using a Swan–Ganz catheter or blood gas analysis; however, it is derived by calculation, which may induce measurement errors. In the present study, logistic regression analyses demonstrated no significant differences between PvO2 and SvO2 in prognostic ability (data not shown). Thus, PvO2 may be more suitable than SvO2 for assessing tissue hypoxia.

Survival was significantly poorer in patients with tissue hypoxia at diagnosis than in those without tissue hypoxia in both groups regardless of treatment with selective pulmonary vasodilators. Several studies have conducted survival analyses based on the presence of tissue hypoxia in PH. A prospective study by Kawakami et al. first demonstrated the relative importance of PvO2 compared with pulmonary hemodynamics for the prognosis of COPD [10]. PvO2 was significantly poorer in non-survivors than in survivors; nonetheless, no significant differences were observed in pulmonary hemodynamics, including the mean PAP and CI, between the groups [10]. Higenbottam et al. reported that SvO2, but not CI, was associated with survival in patients with PAH [31, 32]. In the present study, we clarified, for the first time, using PvO2 < 35 mmHg as a crucial threshold in patients with PH, that long-term survival was poor in patients with tissue hypoxia.

PvO2 is defined by cardiac output, oxygen consumption, hemoglobin content, and PaO2. In PAH, the decrease in PvO2 may reflect a lower cardiac output and impaired gas exchange. Multiple regression analyses revealed that CI exerted a stronger effect on PvO2 than A-aDO2 (Additional file 1: Table S4), suggesting that the cause of tissue hypoxia may be related to a lower CI. The decrease in PvO2 in CTEPH may also reflect impaired gas exchange and lower cardiac output. However, multiple regression analyses revealed that A-aDO2 exerted a greater effect on PvO2 than did CI (Additional file 1: Table S5), implying that the cause of tissue hypoxia may be associated with a mismatch in ventilation-perfusion. PAH is characterized by major homogeneous pulmonary vascular remodeling in the pulmonary arterioles (< 0.5 mm in diameter), which may appear as normal or mottled patterns on perfusion scans [33]. However, in CTEPH, the location of the thrombus is heterogeneous on pulmonary perfusion scans. Moreover, hypoperfused areas due to thrombi and hyperperfused areas without thrombi are observed, which are indicative of pulmonary vascular remodeling, similar to PAH. Consequently, a mismatch in ventilation-perfusion may be more notable in CTEPH than in PAH.

PvO2 in patients with PAH or CTEPH was not significantly improved by treatment with selective pulmonary vasodilators alone, suggesting that it remains a key prognostic factor even in the current era of multiple combination therapies. However, this finding was inconsistent with the findings of Boucly et al. [7] and Sitbon et al. [34], who suggested that vasodilator treatment improves the SvO2 in PAH. This may be explained by the follow-up timing after RHC. A subset of patients received RHC when they were not stabilized or had deteriorated. Particularly, elderly patients with PAH tended to have a smoking history with lower baseline PaO2, even without obvious changes in the pulmonary parenchyma on computed tomography. In such cases, ventilation-perfusion mismatching deteriorated with the use of selective pulmonary vasodilators. This finding is consistent with Khirfan et al.’s [35] report describing that older age and a history of smoking are associated with hypoxemia at rest in patients with IPAH/HPAH.

A limitation of the present study is its retrospective design. Furthermore, biases may have occurred in the treatment decisions between the groups with/without tissue hypoxia and among the treatment groups. Additionally, we were unable to propose a model for predicting prognosis in combination with multiple parameters. Some cases with microscopic lung damage that could not be clearly identified as interstitial pneumonia or emphysema on computed tomography were included.

Conclusions

The present study revealed PvO2 as a crucial prognostic factor in PH. The prognostic impact of tissue hypoxia affects different aspects of PAH and CTEPH, reflecting their distinct pathogeneses. Therefore, PvO2 can be considered a therapeutic target in patients with PH, warranting further investigation.

Availability of data and materials

The study database was anonymized, and the study complied with the requirements of the Japanese Ministry of Health, Labour and Welfare. The datasets generated during and/or analyzed during the current study are not publicly available [due to them containing information that could compromise research participant privacy/consent]; however, they are available from the corresponding author (AS) on reasonable request.

Abbreviations

A-aDO2 :

Alveolar-arterial oxygen gradient

BNP:

Brain natriuretic peptide

BPA:

Balloon pulmonary angioplasty

CI:

Cardiac index

COPD:

Chronic obstructive pulmonary disease

CTD:

Connective tissue disease

CTEPH:

Chronic thromboembolic pulmonary hypertension

DLCO, %pred.:

Percent predicted carbon monoxide diffusing capacity

ERS:

European Respiratory Society

ESC:

European Society of Cardiology

HPAH:

Heritable pulmonary arterial hypertension

IPAH:

Idiopathic pulmonary arterial hypertension

mPAP:

Mean pulmonary arterial pressure

PAH:

Pulmonary arterial hypertension

PaCO2 :

Arterial carbon dioxide tension

PaO2 :

Arterial oxygen tension

PEA:

Pulmonary endarterectomy

PH:

Pulmonary hypertension

PvO2 :

Mixed venous oxygen tension

PVR:

Pulmonary vascular resistance

RAP:

Right atrial pressure

RHC:

Right heart catheterization

SvO2 :

Mixed venous oxygen saturation

WHO:

World Health Organization

6MWD:

6-Min walk distance

References

  1. Barnes H, Brown Z, Burns A, Williams T. Phosphodiesterase 5 inhibitors for pulmonary hypertension. Cochrane Database Syst Rev. 2019;1:CD012621.

    PubMed  Google Scholar 

  2. Frost A, Badesch D, Gibbs JSR, Gopalan D, Khanna D, Manes A, et al. Diagnosis of pulmonary hypertension. Eur Respir J. 2019;53:1801904.

    Article  CAS  Google Scholar 

  3. Parikh V, Bhardwaj A, Nair A. Pharmacotherapy for pulmonary arterial hypertension. J Thorac Dis. 2019;11:S1767–81.

    Article  Google Scholar 

  4. Galiè N, Channick RN, Frantz RP, Grünig E, Jing ZC, Moiseeva O, et al. Risk stratification and medical therapy of pulmonary arterial hypertension. Eur Respir J. 2019;53:1801889.

    Article  Google Scholar 

  5. Kim NH, Delcroix M, Jais X, Madani MM, Matsubara H, Mayer E, et al. Chronic thromboembolic pulmonary hypertension. Eur Respir J. 2019;53:1801915.

    Article  CAS  Google Scholar 

  6. Galiè N, Humbert M, Vachiery JL, Gibbs S, Lang I, Torbicki A, et al. 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: the Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Heart J. 2016;37:67–119.

    Article  Google Scholar 

  7. Boucly A, Weatherald J, Savale L, Jaïs X, Cottin V, Prevot G, et al. Risk assessment, prognosis and guideline implementation in pulmonary arterial hypertension. Eur Respir J. 2017;50:1700889.

    Article  Google Scholar 

  8. Sandqvist A, Kylhammar D, Bartfay SE, Hesselstrand R, Hjalmarsson C, Kavianipour M, et al. Risk stratification in chronic thromboembolic pulmonary hypertension predicts survival. Scand Cardiovasc J. 2021;55:43–9.

    Article  Google Scholar 

  9. Hurdman J, Condliffe R, Elliot CA, Swift A, Rajaram S, Davies C, et al. Pulmonary hypertension in COPD: results from the Aspire registry. Eur Respir J. 2013;41:1292–301.

    Article  Google Scholar 

  10. Kawakami Y, Kishi F, Yamamoto H, Miyamoto K. Relation of oxygen delivery, mixed venous oxygenation, and pulmonary hemodynamics to prognosis in chronic obstructive pulmonary disease. N Engl J Med. 1983;308:1045–9.

    Article  CAS  Google Scholar 

  11. Mithoefer JC, Holford FD, Keighley JF. The effect of oxygen administration on mixed venous oxygenation in chronic obstructive pulmonary disease. Chest. 1974;66:122–32.

    Article  CAS  Google Scholar 

  12. Mithoefer JC, Ramirez C, Cook W. The effect of mixed venous oxygenation on arterial blood in chronic obstructive pulmonary disease: the basis for a classification. Am Rev Respir Dis. 1978;117:259–64.

    CAS  PubMed  Google Scholar 

  13. Walley KR. Use of central venous oxygen saturation to guide therapy. Am J Respir Crit Care Med. 2011;184:514–20.

    Article  Google Scholar 

  14. Radwan L, Daum S. Evaluation of mixed venous oxygenation on the basis of arterial oxygen tension in chronic lung diseases. Respiration. 1980;40:194–200.

    Article  CAS  Google Scholar 

  15. Suda R, Tanabe N, Terada J, Naito A, Kasai H, Nishimura R, et al. Pulmonary hypertension with a low cardiac index requires a higher PaO2 level to avoid tissue hypoxia. Respirology. 2020;25:97–103.

    Article  Google Scholar 

  16. Khirfan G, Almoushref A, Naal T, Abuhalimeh B, Dweik RA, Heresi GA, et al. Mixed venous oxygen saturation is a better prognosticator than cardiac index in pulmonary arterial hypertension. Chest. 2020;158:2546–55.

    Article  Google Scholar 

  17. Kapitan KS, Clausen JL, Moser KM. Gas exchange in chronic thromboembolism after pulmonary thromboendarterectomy. Chest. 1990;98:14–9.

    Article  CAS  Google Scholar 

  18. Hoeper MM, Huscher D, Ghofrani HA, Delcroix M, Distler O, Schweiger C, et al. Elderly patients diagnosed with idiopathic pulmonary arterial hypertension: results from the COMPERA registry. Int J Cardiol. 2013;168:871–80.

    Article  Google Scholar 

  19. Tamura Y, Kumamaru H, Satoh T, Miyata H, Ogawa A, Tanabe N, et al. Effectiveness and outcome of pulmonary arterial hypertension-specific therapy in Japanese patients with pulmonary arterial hypertension. Circ J. 2017;82:275–82.

    Article  Google Scholar 

  20. Ghofrani HA, Grimminger F. Soluble guanylate cyclase stimulation: an emerging option in pulmonary hypertension therapy. Eur Respir Rev. 2009;18:35–41.

    Article  CAS  Google Scholar 

  21. Hoeper MM, Pletz MW, Golpon H, Welte T. Prognostic value of blood gas analyses in patients with idiopathic pulmonary arterial hypertension. Eur Respir J. 2007;29:944–50.

    Article  CAS  Google Scholar 

  22. Tanabe N, Okada O, Nakagawa Y, Masuda M, Kato K, Nakajima N, et al. The efficacy of pulmonary thromboendarterectomy on long-term gas exchange. Eur Respir J. 1997;10:2066–72.

    Article  CAS  Google Scholar 

  23. Isobe S, Itabashi Y, Kawakami T, Kataoka M, Kohsaka S, Tsugu T, et al. Increasing mixed venous oxygen saturation is a predictor of improved renal function after balloon pulmonary angioplasty in patients with chronic thromboembolic pulmonary hypertension. Heart Vessels. 2019;34:688–97.

    Article  Google Scholar 

  24. Jenkins DP, Madani M, Mayer E, Kerr K, Kim N, Klepetko W, et al. Surgical treatment of chronic thromboembolic pulmonary hypertension. Eur Respir J. 2013;41:735–42.

    Article  CAS  Google Scholar 

  25. Ishida K, Masuda M, Tanabe N, Matsumiya G, Tatsumi K, Nakajima N. Long-term outcome after pulmonary endarterectomy for chronic thromboembolic pulmonary hypertension. J Thorac Cardiovasc Surg. 2012;144:321–6.

    Article  Google Scholar 

  26. Mayer E, Jenkins D, Lindner J, D’Armini A, Kloek J, Meyns B, et al. Surgical management and outcome of patients with chronic thromboembolic pulmonary hypertension: results from an international prospective registry. J Thorac Cardiovasc Surg. 2011;141:702–10.

    Article  Google Scholar 

  27. Krogh A. The number and distribution of capillaries in muscles with calculations of the oxygen pressure head necessary for supplying the tissue. J Physiol. 1919;52:409–15.

    Article  CAS  Google Scholar 

  28. Tenney SM. A theoretical analysis of the relationship between venous blood and mean tissue oxygen pressures. Respir Physiol. 1974;20:283–96.

    Article  CAS  Google Scholar 

  29. Plötz FB, van Lingen RA, Bos AP. Venous oxygen measurements in the inferior vena cava in neonates with respiratory failure. Crit Care. 1998;2:57–60.

    Article  Google Scholar 

  30. Miyamoto K, Kawakami Y. Pathophysiology of tissue hypoxia. Kokyu Junkan Respir Circ. 1994;42:437–44 (in Japanese).

    Google Scholar 

  31. Higenbottam T, Butt AY, McMahon A, Westerbeck R, Sharples L. Long-term intravenous prostaglandin (epoprostenol or iloprost) for treatment of severe pulmonary hypertension. Heart. 1998;80:151–5.

    Article  CAS  Google Scholar 

  32. Higenbottam TW, Spiegelhalter D, Scott JP, Fuster V, Dinh-Xuan AT, Caine N, et al. Prostacyclin (epoprostenol) and heart-lung transplantation as treatments for severe pulmonary hypertension. Br Heart J. 1993;70:366–70.

    Article  CAS  Google Scholar 

  33. Fukuda K, Date H, Doi S, Fukumoto Y, Fukushima N, Hatano M, et al. Guidelines for the treatment of pulmonary hypertension (JCS 2017/JPCPHS 2017). Circ J. 2019;83:842–945.

    Article  Google Scholar 

  34. Sitbon O, Cottin V, Canuet M, Clerson P, Gressin V, Perchenet L, et al. Initial combination therapy of macitentan and tadalafil in pulmonary arterial hypertension. Eur Respir J. 2020;56:2000673.

    Article  Google Scholar 

  35. Khirfan G, Naal T, Abuhalimeh B, Newman J, Heresi GA, Dweik RA, et al. Hypoxemia in patients with idiopathic or heritable pulmonary arterial hypertension. PLoS ONE. 2018;13:e0191869.

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by a Grant-in-Aid for Scientific Research (Japan Society for the Promotion of Science [JSPS] KAKENHI Grant 19K17626) from the Japanese Ministry of Education and Science; The Uehara Memorial Foundation, Research Fellowship for Young Investigators 2019; and Japanese Ministry of Health, Labour and Welfare research Grants specifically designated to the Respiratory Failure Research Group and Cardiovascular Diseases and the Pulmonary Hypertension Research Group from the Japan Agency for Medical Research and Development (No. 16ek0109127h0002). Editage (www.editage.com) contributed to the English-language editing of this manuscript.

Funding

Not applicable.

Author information

Authors and Affiliations

  1. Department of Respirology, Graduate School of Medicine, Chiba University, 1-8-1, Inohana, Chuo-Ku, Chiba, 260-8670, Japan

    Jun Nagata, Ayumi Sekine, Nobuhiro Tanabe, Yu Taniguchi, Seiichiro Sakao, Koichiro Tatsumi & Takuji Suzuki

  2. Department of Respirology, Chibaken Saiseikai Narashino Hospital, Narashino, 275-8580, Japan

    Jun Nagata & Nobuhiro Tanabe

  3. Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, 650-0017, Japan

    Yu Taniguchi

  4. Department of Cardiovascular Surgery, Eastern Chiba Medical Center, Togane, 283-8686, Japan

    Keiichi Ishida

  5. Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, 260-8670, Japan

    Yuki Shiko

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  1. Jun Nagata
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Contributions

JN, AS, and NT were equally involved in study conceptualization, study design, data analysis, and writing of the original draft. NT, YT, KI, YS, SS, KT, and TS critically revised the report and commented on drafts of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ayumi Sekine.

Ethics declarations

Ethics approval and consent to participate

This study was conducted in accordance with the tenets of the amended Declaration of Helsinki. Patient identity was concealed in this study, and data were compiled according to the requirements of the Japanese Ministry of Health, Labour and Welfare, which is dedicated to privacy, information technology, and civil rights. The research protocol for this study was approved by the Research Ethics Committee of the Chiba University School of Medicine (Approval No.: 2584); we had already performed "opt-out" by notifying or disclosing information. Written informed consent was obtained from all patients who were enrolled since 2009, when this requirement became mandatory (Approval No.: 826). In the case of patients who died before 2008, written informed consent was obtained from their next of kin when we examined prognosis in the relevant study (Approval No.: 84). The study database was anonymized, and all experiments were performed in accordance with the relevant guidelines and regulations.

Consent for publication

Not applicable.

Competing interests

AS has received honoraria for lectures from Jansen Pharmaceutical K.K., Nippon Shinyaku Co, Ltd., and Mochida Seiyaku Co, Ltd., as well as research grant support from Jansen Pharmaceutical K.K. and Nippon Shinyaku Co, Ltd. NT has received honoraria for lectures from Jansen Pharmaceutical K.K., Nippon Shinyaku Co, Ltd., and Bayer Yakuhin, Ltd., as well as research grant support from Pharmaceutical K.K. and Nippon Shinyaku Co, Ltd. YT has received honoraria for lectures from Jansen Pharmaceutical K.K., Daiichi Sankyo Co, Ltd., and Bayer Yakuhin, Ltd., as well as research grant support from Jansen Pharmaceutical K.K. and Nippon Shinyaku Co, Ltd. SS has received honoraria for lectures from Jansen Pharmaceutical K.K., Nippon Shinyaku Co, Ltd., and Bayer Yakuhin, Ltd. KT has received honoraria for lectures from Jansen Pharmaceutical K.K. and Nippon Shinyaku Co, Ltd. The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript. The other authors declare no conflicts of interest.

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Supplementary Information

Additional file 1.

(1) Appendix S1: Krogh’s Tissue Cylinder Model. (2) Appendix S2: Hemoglobin Oxygen Dissociation Curve. (3) Table S1. Classification of the enrolled patients with pulmonary arterial hypertension. (4) Table S2. Characteristics of patients with PAH stratified by treatment with selective pulmonary vasodilators. (5) Table S3. Characteristics of patients with CTEPH stratified by treatment modality. (6) Table S4. Coefficients for the CI and A-aDO2 affecting PvO2 in patients with PAH. (7) Table S5. Coefficients for the CI and A-aDO2 affecting PvO2 in patients with CTEPH. (8) Table S6. Hemodynamic and oxygenation parameters before and after treatment with pulmonary vasodilators in patients with PAH. (9) Table S7. Hemodynamic and oxygenation parameters before and after treatment in patients with CTEPH. (10) Figure Legends (Figure S1–S4).

Additional file 2: Figure S1.

Selection of study sample.

Additional file 3: Figure S2.

Kaplan–Meier survival curves stratified by tissue hypoxia in IPAH/HPAH.

Additional file 4: Figure S3.

Correlations of mixed venous oxygen tension with CI (left) and A-aDO2 (right).

Additional file 5: Figure S4.

Relationship between SvO2 and PvO2, and the importance of PvO2.

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Nagata, J., Sekine, A., Tanabe, N. et al. Mixed venous oxygen tension is a crucial prognostic factor in pulmonary hypertension: a retrospective cohort study. BMC Pulm Med 22, 282 (2022). https://doi.org/10.1186/s12890-022-02073-0

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Keywords

BMC Pulmonary Medicine

ISSN: 1471-2466

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