Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • ERS Guidelines
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • ERS Guidelines
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Subscriptions

Echocardiography and pulmonary embolism severity index have independent prognostic roles in pulmonary embolism

Olivier Sanchez, Ludovic Trinquart, Benjamin Planquette, Francis Couturaud, Franck Verschuren, Vincent Caille, Nicolas Meneveau, Gérard Pacouret, Pierre-Marie Roy, Marc Righini, Arnaud Perrier, Laurent Bertoletti, Florence Parent, Christine Lorut, Guy Meyer
European Respiratory Journal 2013 42: 681-688; DOI: 10.1183/09031936.00097512
Olivier Sanchez
1Université Paris Descartes, Sorbonne Paris Cité, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Pneumologie et Soins Intensifs, INSERM U 765, Paris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: olivier.sanchez@egp.aphp.fr
Ludovic Trinquart
2Université Paris Descartes, Assistance Publique Hôpitaux de Paris, Hotel Dieu de Paris, INSERM CIE 4, Paris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin Planquette
1Université Paris Descartes, Sorbonne Paris Cité, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Pneumologie et Soins Intensifs, INSERM U 765, Paris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francis Couturaud
3Université Européenne de Bretagne, Université de Brest, EA3878, IFR148, Hôpital La Cavale Blanche, Service de Pneumologie, Brest
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Franck Verschuren
4Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Acute Medicine Dept, Accidents and Emergency Unit, Brussels, Belgium
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vincent Caille
5Hôpital Ambroise Paré, Service de Réanimation médicale, Assistance Publique Hôpitaux de Paris, Boulogne
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicolas Meneveau
6Université de Franche Comté, EA 3920, IFR 133, CHU Jean Minjoz, Service de Cardiologie, Besançon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Gérard Pacouret
7Hôpital Trousseau, Service de Cardiologie A, CHRU de Tours, Chambray-lès-Tours
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre-Marie Roy
8CHU d'Angers, Service d'accueil des urgences, Angers
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marc Righini
9Geneva University Hospital, Division of General Internal Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arnaud Perrier
9Geneva University Hospital, Division of General Internal Medicine, Geneva, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laurent Bertoletti
10CHU St-Etienne, Service de Médecine Interne et Thérapeutique, Groupe de Recherche sur la Thrombose (EA3065), St-Etienne
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Florence Parent
11Hôpital Bicêtre, service de pneumologie, Assistance Publique Hôpitaux de Paris, Le Kremlin Bicêtre
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christine Lorut
12Hôtel Dieu de Paris, service de pneumologie, Assistance Publique Hôpitaux de Paris, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Guy Meyer
1Université Paris Descartes, Sorbonne Paris Cité, Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Service de Pneumologie et Soins Intensifs, INSERM U 765, Paris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

We analysed a cohort of patients with normotensive pulmonary embolism (PE) in order to assess whether combining echocardiography and biomarkers with the pulmonary embolism severity index (PESI) improves the risk stratification in comparison to the PESI alone.

The PESI was calculated in normotensive patients with PE who also underwent echocardiography and assays of cardiac troponin I and brain natriuretic peptide. 30-day adverse outcome was defined as death, recurrent PE or shock.

529 patients were included, 25 (4.7%, 95% CI 3.2–6.9%) had at least one outcome event. The proportion of patients with adverse events increased from 2.1% in PESI class I–II to 8.4% in PESI class III–IV, and to 14.3% in PESI class V (p<0.001). In PESI class I–II, the rate of outcome events was significantly higher in patients with abnormal values of biomarkers or right ventricular dilatation. In multivariate analysis, the PESI (class III–IV versus I–II, OR 3.1, 95% CI 1.2–8.3; class V versus I–II, OR 5.5, 95% CI 1.5–25.5 and echocardiography (right ventricular/left ventricular ratio, OR (for an increase of 0.1) 1.3, 95% CI 1.1–1.5) were independent predictors of an adverse outcome.

In patients with normotensive PE, biomarkers and echocardiography provided additional prognostic information to the PESI.

Abstract

In patients with normotensive PE, biomarkers and echocardiography provided additional prognostic information to the PESI http://ow.ly/lJ8pW

Introduction

Early mortality from pulmonary embolism (PE) depends on the clinical consequences of PE and on the underlying disease [1]. Risk stratification of patients with PE may enable definition of a low-risk group that may be treated on an outpatient basis and a high-risk group that should be admitted to hospital for close medical supervision [2]. The pulmonary embolism severity index (PESI), a clinical rule based on 11 clinical variables, defines five classes of patients with PE with different mortality rates at 90 days [3]. The PESI has been validated in several large cohorts and is now available as a simplified version based on seven variables [4–6]. Right ventricular dysfunction, assessed by either echocardiography or spiral computed tomography, and high levels of biomarkers, including cardiac troponin I (cTnI) and brain natriuretic peptide (BNP), have been linked to an increased risk of death or adverse outcome in patients with PE [7–9]. Little is known about the respective roles of the clinical findings summarised in the PESI, echocardiography and biomarkers for the risk assessment of patients with PE. We analysed the results of a large prospective multicentre cohort of consecutive patients with PE in order to determine whether the combination of echocardiography and biomarkers with the PESI improves the risk stratification of patients with PE compared with the PESI alone [8]. Cardiogenic shock at admission represents one of the most important prognostic factors in patients with PE and, according to the current guidelines of the European Society of Cardiology, it is widely admitted that further risk stratification by biomarkers, echocardiography or the PESI is not needed in these patients [2]. Therefore, we focused our study on patients with normotensive PE.

Material and methods

Patients

Consecutive adult patients with symptomatic normotensive PE admitted in the 11 participating sites in France, Belgium and Switzerland were recruited for the study. Patients were eligible if their PE was objectively confirmed according to current guidelines, as previously reported [2, 8]. Patients were ineligible for the study if they had received therapeutic doses of anticoagulant treatment for >24 h or had cardiogenic shock at admission defined by at least one of the following criteria: systolic blood pressure <90 mmHg, signs of end-organ hypoperfusion or a need for catecholamine administration to maintain systolic blood pressure >90 mmHg. Because the role of thrombolytic therapy remains unclear in clinically stable patients, we excluded patients with normotensive PE who received fibrinolytic treatment. Demographic data, symptoms and risk factors for venous thromboembolism, including all variables of the PESI, were obtained at the time of admission. Patients were managed according to the usual practices of each participating site by physicians blinded to the results of cardiac biomarkers.

The study protocol strongly recommended transthoracic echocardiography within 24 h of PE diagnosis by an experienced physician unaware of the results of cardiac biomarker determinations. The end-diastolic diameters of the right and left ventricles were measured along the long axis of the parasternal view and the right ventricle/left ventricle ratio was calculated [8].

On admission, blood samples were collected in heparinised tubes for the cTnI assay and in EDTA tubes for BNP determination, tubes were centrifuged and the resulting plasma was frozen and stored at -80°C. At the end of the study, circulating levels of cTnI and BNP were determined in a central laboratory by investigators blind to the patients' baseline characteristics and clinical outcome. cTnI levels were determined with quantitative photometric immunoassays using a Dimension-RxL Max analyser (Dade-Behring, Siemens Healthcare Diagnostics, Erlangen, Germany), according to the manufacturer's instructions. The lower limit of detection of the cTnI assay was 0.04 μg·L−1. BNP levels were determined with an electrochemiluminescence immunoassay (BNP-Triage Biosite assay; Biosite Inc., San Diego, CA, USA) on a DxI analyser (Beckman Coulter Inc., Brea, CA, USA). The lower limit of detection in the BNP assay was 10 ng·L- 1.

Outcomes

30-day clinical follow-up data were obtained for all patients. Adverse clinical events were defined as all-cause death, secondary cardiogenic shock as previously defined, or objectively confirmed symptomatic recurrent venous thromboembolism. All adverse events and the cause of death (i.e. related or unrelated to PE) were adjudicated by an independent committee of two physicians unaware of the results of the initial clinical examination, echocardiography and biomarker determinations.

The study was an academic trial sponsored by the Délégation à la Recherche Clinique d'Ile de France. The funding body had no role in the design of the study, data analysis, or drafting the manuscript. The study was approved by local ethics committees (Ile de France II, Saint-Luc University Hospital and Geneva University Hospital committees for the French, Belgian and Swiss centres, respectively). All patients signed a written informed consent form.

Statistical methods

Categorical variables were summarised using numbers and percentages, and continuous variables using median (interquartile range). PESI score was categorised into low risk (PESI class I or II), intermediate risk (PESI class III or IV) and high risk (PESI class V) categories. Proportions of deaths and adverse events according to the PESI risk class were compared using Chi-squared tests; median values of markers according to PESI risk class were compared using Kruskall–Wallis tests.

Univariate analyses, based on Chi-squared tests or t-tests, were performed. Independent associations with the outcome were assessed by including variables with a significance level of p<0.20 on univariate analysis in a multivariate logistic regression model. Variables associated with the outcome at a significance level of p<0.05 in backward stepwise regression analysis were retained. For the multivariate analysis, we conducted multiple imputation analysis to ensure that the results were robust for missing data. For each variable, we further estimated the proportion of explained variation (PEV) and partial PEV. The PEV measures the proportion of variation of the outcome variable that can be attributed to the variable, relative to the total variation of the outcome variable. Partial PEV measures the decline in explained variation when removing the prognostic factor from the model containing the other four factors.

In order to determine if echocardiography and biomarkers improved the risk stratification, we first constructed box plots showing the distributions of biomarkers and echocardiography values within each PESI risk class and among patients who did, or did not, experience an adverse event. In subsequent analyses, echocardiography and biomarkers were dichotomised according to thresholds validated in previous studies. We defined a BNP concentration >100 ng·L−1 as positive BNP [10, 11], a cTnI concentration >0.1 μg·L−1 as positive cTnI [10, 12] and a right ventricle/left ventricle ratio >0.9 as a positive right ventricle/left ventricle ratio [10, 12]. We then cross-classified patients according to their PESI risk category and then according to their right ventricle/left ventricle ratio or biomarker risk category, each in turn. Within each sub-stratum, we estimated the risk of an adverse event. Finally, logistic regression analyses were conducted to determine possible links between prognostic factors (PESI risk category, BNP, cTnI and right ventricle/left ventricle end-diastolic diameter ratio) and the risk of an adverse event.

Results

Patients

A total of 592 consecutive patients were included in the study between January 2006 and May 2007. 41 patients were excluded because of cardiogenic shock at inclusion. 22 haemodynamically stable patients were excluded because they were receiving fibrinolytic treatment. None of these normotensive patients experienced a 30-day adverse event. The final study population, therefore, comprised 529 patients with normotensive PE (table 1). At inclusion, 528 patients (99%) were receiving an anticoagulant treatment. Fibrinolytic therapy was administered to eight patients (1.5%) because of secondary cardiogenic shock. A vena cava filter was inserted in 22 patients (4%).

View this table:
  • View inline
  • View popup
Table 1– Characteristics of the 529 patients with pulmonary embolism

Outcome

The 30-day prospective follow-up was complete for all patients. During follow-up, 25 patients (4.7%, 95% CI 3.2–6.9%) suffered adverse events: death in 15 cases (2.8%, 95% CI 1.7–4.6%), secondary cardiogenic shock in 15 (2.8%) and recurrent venous thromboembolism in eight patients (1.5%). One patient may have had several events qualifying for complicated outcome.

PESI

The PESI was calculated for all 529 patients; among them, 329 (62%) were at low risk (PESI class I or II), 179 patients (34%) were at intermediate risk (PESI class III or IV) and 21 patients (4%) were at high risk (PESI class V). The mortality rate and the rate of adverse outcomes, including mortality, secondary cardiogenic shock and recurrent PE, increased significantly from 0.6% and 2.1% in the low-risk category to 9.5% and 14.3% in the high-risk category, respectively (table 2).

View this table:
  • View inline
  • View popup
Table 2– Rate of adverse outcomes and value of biomarkers and echocardiography according to the pulmonary embolism severity index (PESI) classes

Biomarkers and echocardiography

Plasma concentrations of BNP and cTnI, and the right ventricle/left ventricle ratio increased significantly with the PESI (table 2).

Predictors of adverse outcome

figure 1 shows the number and proportion of patients with an adverse outcome at 30 days in the six categories defined by cross-tabulation of the PESI risk class (low, intermediate or high risk) and the right ventricular dysfunction marker category (normal or elevated biomarkers; normal or abnormal right ventricle/left ventricle ratio). All biomarkers and echocardiography results enabled patients belonging to the low-risk category (PESI class I or II), to be further stratified into two subgroups, one with a very low risk (≤1%) of an adverse outcome and one with a 6% risk of 30-day adverse outcome, with significant differences in the event rate between the subgroups with normal and abnormal biomarker and right ventricle/left ventricle ratio values (p = 0.03 for BNP; p<0.001 for cTnI and p<0.001 for right ventricle/left ventricle ratio) (fig. 1). In the intermediate risk group of patients (PESI class III–IV), elevated biomarkers and right ventricular dilatation on echocardiography were associated with higher rates of adverse outcomes, but the difference to patients having normal values was significant for cTnI only (p = 0.02 for cTnI; p = 0.42 for BNP and p = 0.9 for echocardiography) (fig. 1). In the high-risk group (PESI class V), differences in the event rates between patients with normal and abnormal biomarker values and echocardiography were less pronounced and not significant, but the patient population was small (fig. 1).

Figure 1–
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1–

Data are presented as % (n) and N, where N is the total number of patients. The figure shows the number and proportion of patients with an adverse 30-day outcome in categories defined by cross-tabulation of pulmonary embolism severity index (PESI) risk classes, and right ventricular (RV) dysfunction defined by elevated cardiac biomarker levels or RV/left ventricular (LV) ratio, according to previously validated thresholds. Complete cases are presented. a) PESI class I–II, b) PESI class III–IV and c) PESI class V. BNP: brain natriuretic peptide; RV. #: p = 0.03; ***: p<0.001; ¶: p = 0.02.

Results of univariate logistic regression analyses showed that the PESI, BNP and right ventricle/left ventricle ratio were significantly associated with the occurrence of an adverse outcome (table 3). Multivariate analysis showed that, in addition to the PESI risk class, echocardiography but not biomarkers remained independent predictors of adverse outcome at day 30 in the study population (table 4). The variables included in the model accounted for about 10% of the variation in individual 30-day outcomes; the proportions of variance explained by each right ventricular dysfunction marker (as well as partial PEV) were similar to those explained by the PESI risk class. Finally, multiple imputation analysis provided estimates consistent with the complete case analysis (table 4). The PESI was associated with a moderate prognostic sensitivity (72%) and high negative predictive value (98%) (table 5). Interestingly, the combination of PESI with right ventricle/left ventricle ratio had a higher sensitivity and negative predictive value for predicting 30-day complicated outcome (table 5).

View this table:
  • View inline
  • View popup
Table 3– Univariate analysis
View this table:
  • View inline
  • View popup
Table 4– Multivariate analysis
View this table:
  • View inline
  • View popup
Table 5– Value of pulmonary embolism severity index (PESI) alone and right ventricle/left ventricle (RV/LV) ratio alone and in combination for predicting a 30-day complicated outcome

Discussion

This study shows that in patients with normotensive PE, right ventricular dysfunction on echocardiography provides prognostic information that is independent of clinical findings summarised by the PESI. In patients considered at low-risk according to the PESI, echocardiography and biomarkers identified two subgroups with different risks of adverse events. Among patients belonging to PESI class I or II, those with normal echocardiography results and normal levels of biomarkers had a very low risk of adverse events, which was significantly lower than the rate observed in patients with an abnormal echocardiography or elevated levels of biomarkers.

Five groups of patients with different risks of death were described in the original report describing the PESI. Subsequently, class I and II patients were combined in a low-risk group and were selected as possible candidates for outpatient treatment [13] and patients in class III to V were considered as “high-risk” patients [5, 6]. In the present study, three groups were considered: one “low-risk” group corresponding to the usual low-risk group (defined as PESI class I or II), an “intermediate-risk” group defined as PESI class III or IV patients, and a “high-risk” group defined as PESI class V patients. This was done to comply with the recommendations of the European Society of Cardiology, in which three groups are considered [2]. Clustering the high-risk and intermediate groups or using the simplified PESI did not change the results (data not shown). Previous studies have compared the clinical approach based on the PESI and biomarkers or echocardiography for the risk stratification of PE with varying results. The respective values of cTnI and the original PESI for the prediction of mortality at 30 days were evaluated in a monocentric cohort of 567 patients with clinically stable PE [14]. In this study, the combination of cTnI with the clinical variables did not improve the negative predictive value of the PESI for the risk of 30-day mortality, but the other major adverse events, such as recurrent PE or cardiogenic shock, were not evaluated [14]. The prognostic value of the new high sensitivity troponin T (hsTnT) assay and of the simplified PESI was evaluated in a multicentre study including 526 normotensive patients with PE [15]. The hsTnT assay was associated with a high prognostic sensitivity and negative predictive value comparable to those of the simplified PESI. hsTnT and the simplified PESI were identified as independent predictors of 30-day complicated outcome defined by all-cause death or secondary shock or cardiopulmonary resuscitation [15]. Interestingly, the combination of elevated hsTnT with high risk simplified PESI had a sensitivity and negative predictive value of 100% [15]. By contrast, none of the patients with low-risk simplified PESI and low levels of hsTnT experienced an adverse outcome, but the authors did not report whether patients with low-risk simplified PESI and elevated hsTnT had a higher rate of adverse outcomes [15]. Recently, the simplified PESI has been compared to a risk-stratification method based on echocardiography and biomarkers proposed by recent European Society of Cardiology recommendations [12]. The combined end-point of all-cause mortality, objectively confirmed non-fatal symptomatic recurrent venous thromboembolism or non-fatal major bleeding was lower in the low-risk group identified by the simplified PESI than in the low-risk group identified by normal echocardiography findings and biomarker assays [12]. An approach combining clinical findings, echocardiography and biomarkers was not tested in this study. In another monocentric study, it was shown that right ventricular dysfunction and/or a high cTnI level increased the risk of death in patients classified as intermediate risk according to the PESI, whereas this was not observed in low-risk patients [16]. The additional role of echocardiography and biomarkers in predicting other major complications was not tested in this study.

Recently, Aujesky et al. [13] demonstrated in an open-label multicentre randomised trial that outpatient treatment is not inferior to inpatient care in terms of efficacy and safety in selected low-risk patients (PESI class I or II). In this study, neither echocardiography nor biomarkers were used for the risk stratification, but more than two-thirds of the patients included were in the very low risk PESI class I [13]. Our results suggest that among patients belonging PESI class I or II, those with elevated levels of biomarkers or abnormal echocardiography results could require hospitalisation instead of outpatient care. However, our results must be confirmed in large independent cohort studies before being used to make a therapeutic decision.

The present study has several strengths; it was multicentre, enabling greater generalisation of the results, and patients were consecutively and prospectively recruited, limiting the possibility of major biases. All outcomes were assessed by an independent central committee whose members were unaware of the initial clinical data and results of echocardiography and biomarkers. The biomarkers were measured at the end of the study and the responsible physicians were also unaware of the results of biomarker assays and these results did not influence initial treatment. Conversely, participating physicians were aware of echocardiography results and their initial treatment option, i.e. anticoagulation alone or anticoagulation and thrombolysis may have been influenced by the results of echocardiography; this is why normotensive patients who received thrombolytic treatment were excluded from the analysis. The study was also limited by the low number of events and by the small number of patients in the intermediate and high-risk categories. This may explain why the difference between the proportion of intermediate-risk patients with outcome having abnormal echocardiography results or elevated biomarkers compared to those with normal results, was not statistically significant.

In conclusion, if confirmed in independent cohort studies, the present findings suggest that cardiac biomarkers and/or echocardiography will enable patients with a PESI I–II to be further stratified into two subgroups, one with a very low level of adverse outcome that can be safely treated as outpatients and one with a slightly higher risk requiring hospitalisation. The role of biomarkers and echocardiography in patients at intermediate or high risk according to the PESI is more questionable and should be evaluated in larger cohorts.

Acknowledgments

The authors wish to thank all investigators of the PREP study in France, Belgium and Switzerland who contributed to the recruitment of the patients in the study.

Footnotes

  • Support statement: The study was funded by a grant of the Chancellerie des Universités (Legs Poix).

  • Conflict of interest: None declared.

  • Received June 20, 2012.
  • Accepted October 31, 2012.
  • ©ERS 2013

References

  1. ↵
    1. Goldhaber SZ,
    2. Visani L,
    3. De Rosa M
    . Acute pulmonary embolism: clinical outcomes in the International Cooperative Pulmonary Embolism Registry (ICOPER). Lancet 1999; 353: 1386–1389.
    OpenUrlCrossRefPubMedWeb of Science
  2. ↵
    1. Torbicki A,
    2. Perrier A,
    3. Konstantinides S,
    4. et al
    . Guidelines on the diagnosis and management of acute pulmonary embolism: the task force for the diagnosis and management of acute pulmonary embolism of the European Society of Cardiology (ESC). Eur Heart J 2008; 29: 2276–2315.
    OpenUrlFREE Full Text
  3. ↵
    1. Aujesky D,
    2. Obrosky DS,
    3. Stone RA,
    4. et al
    . Derivation and validation of a prognostic model for pulmonary embolism. Am J Respir Crit Care Med 2005; 172: 1041–1046.
    OpenUrlCrossRefPubMedWeb of Science
  4. ↵
    1. Aujesky D,
    2. Perrier A,
    3. Roy PM,
    4. et al
    . Validation of a clinical prognostic model to identify low-risk patients with pulmonary embolism. J Intern Med 2007; 261: 597–604.
    OpenUrlCrossRefPubMedWeb of Science
  5. ↵
    1. Donze J,
    2. Le Gal G,
    3. Fine MJ,
    4. et al
    . Prospective validation of the pulmonary embolism severity index. A clinical prognostic model for pulmonary embolism. Thromb Haemost 2008; 100: 943–948.
    OpenUrlPubMedWeb of Science
  6. ↵
    1. Jimenez D,
    2. Aujesky D,
    3. Moores L,
    4. et al
    . Simplification of the pulmonary embolism severity index for prognostication in patients with acute symptomatic pulmonary embolism. Arch Intern Med 2010; 170: 1383–1389.
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    1. Becattini C,
    2. Vedovati MC,
    3. Agnelli G
    . Prognostic value of troponins in acute pulmonary embolism: a meta-analysis. Circulation 2007; 116: 427–433.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Sanchez O,
    2. Trinquart L,
    3. Caille V,
    4. et al
    . Prognostic factors for pulmonary embolism: the prep study, a prospective multicenter cohort study. Am J Respir Crit Care Med 2010; 181: 168–173.
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    1. Sanchez O,
    2. Trinquart L,
    3. Colombet I,
    4. et al
    . Prognostic value of right ventricular dysfunction in patients with haemodynamically stable pulmonary embolism: a systematic review. Eur Heart J 2008; 29: 1569–1577.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Jimenez D,
    2. Lobo JL,
    3. Monreal M,
    4. et al
    . Prognostic significance of multidetector computed tomography in normotensive patients with pulmonary embolism: rationale, methodology and reproducibility for the PROTECT study. J Thromb Thrombolysis 2012; 34: 187–192.
    OpenUrlCrossRefPubMedWeb of Science
  11. ↵
    1. Klok FA,
    2. Mos IC,
    3. Huisman MV
    . Brain-type natriuretic peptide levels in the prediction of adverse outcome in patients with pulmonary embolism: a systematic review and meta-analysis. Am J Respir Crit Care Med 2008; 178: 425–430.
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    1. Lankeit M,
    2. Gómez V,
    3. Wagner C,
    4. et al
    . A strategy combining imaging and laboratory biomarkers in comparison with a simplified clinical score for risk stratification of patients with acute pulmonary embolism. Chest 2012; 141: 916–922.
    OpenUrlCrossRefPubMedWeb of Science
  13. ↵
    1. Aujesky D,
    2. Roy PM,
    3. Verschuren F,
    4. et al
    . Outpatient versus inpatient treatment for patients with acute pulmonary embolism: an international, open-label, randomised, non-inferiority trial. Lancet 2011; 378: 41–48.
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    1. Moores L,
    2. Aujesky D,
    3. Jiménez D,
    4. et al
    . Pulmonary embolism severity index and troponin testing for the selection of low-risk patients with acute symptomatic pulmonary embolism. J Thromb Haemost 2010; 8: 517–522.
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Lankeit M,
    2. Jimenez D,
    3. Kostrubiec M,
    4. et al
    . Predictive value of the high-sensitivity troponin T assay and the simplified pulmonary embolism severity index in hemodynamically stable patients with acute pulmonary embolism: a prospective validation study. Circulation 2011; 124: 2716–2724.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Vanni S,
    2. Nazerian P,
    3. Pepe G,
    4. et al
    . Comparison of two prognostic models for acute pulmonary embolism: clinical vs. right ventricular dysfunction-guided approach. J Thromb Haemost 2011; 9: 1916–1923.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top
View this article with LENS
Vol 42 Issue 3 Table of Contents
European Respiratory Journal: 42 (3)
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Echocardiography and pulmonary embolism severity index have independent prognostic roles in pulmonary embolism
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Citation Tools
Echocardiography and pulmonary embolism severity index have independent prognostic roles in pulmonary embolism
Olivier Sanchez, Ludovic Trinquart, Benjamin Planquette, Francis Couturaud, Franck Verschuren, Vincent Caille, Nicolas Meneveau, Gérard Pacouret, Pierre-Marie Roy, Marc Righini, Arnaud Perrier, Laurent Bertoletti, Florence Parent, Christine Lorut, Guy Meyer
European Respiratory Journal Sep 2013, 42 (3) 681-688; DOI: 10.1183/09031936.00097512

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Echocardiography and pulmonary embolism severity index have independent prognostic roles in pulmonary embolism
Olivier Sanchez, Ludovic Trinquart, Benjamin Planquette, Francis Couturaud, Franck Verschuren, Vincent Caille, Nicolas Meneveau, Gérard Pacouret, Pierre-Marie Roy, Marc Righini, Arnaud Perrier, Laurent Bertoletti, Florence Parent, Christine Lorut, Guy Meyer
European Respiratory Journal Sep 2013, 42 (3) 681-688; DOI: 10.1183/09031936.00097512
Reddit logo Technorati logo Twitter logo Connotea logo Facebook logo Mendeley logo
Full Text (PDF)

Jump To

  • Article
    • Abstract
    • Abstract
    • Introduction
    • Material and methods
    • Results
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Subjects

  • Pulmonary vascular disease
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

Original Article

  • Lung volumes and survival in chronic lung allograft dysfunction
  • Social consequences of sleep disordered breathing
  • Diagnosing airflow obstruction in COPD
Show more Original Article

Pulmonary Vascular Disease

  • COVID-19 and case fatality in pulmonary embolism
  • PULSAR: sotatercept for the treatment of PAH
  • Emerging phenotype of PAH patients carrying SOX17 variants
Show more Pulmonary Vascular Disease

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About the ERJ

  • Journal information
  • Editorial board
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Instructions for authors
  • Publication ethics and malpractice
  • Submit a manuscript

For readers

  • Alerts
  • Subjects
  • Podcasts
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN:  0903-1936
Online ISSN: 1399-3003

Copyright © 2023 by the European Respiratory Society