Skip to main content
Thoracic Cancer logoLink to Thoracic Cancer
. 2015 Jan 22;6(5):584–588. doi: 10.1111/1759-7714.12226

Impact of cancer on the effectiveness of cardiac Troponin I to predict right ventricular dysfunction in acute pulmonary embolism

Karsten Keller 1,2,, Martin Geyer 1, Johannes Beule 3, Meike Coldewey 1,2, Jörn Oliver Balzer 4,5,*, Wolfgang Dippold 3,*
PMCID: PMC4567003  PMID: 26443088

Abstract

Background

Deep vein thrombosis (DVT) and pulmonary embolism (PE) are connected with a poor outcome in cancer patients. We aimed to investigate the impact of cancer on the effectiveness of cardiac Troponin I (cTnI) to predict right ventricular dysfunction (RVD) in acute PE.

Methods

We retrospectively analyzed the data of 182 patients with confirmed PE. PE patients were subdivided into two groups: (i) with concomitant active cancer disease or history of cancer, and (ii) without known cancer. Receiver operating characteristic (ROC) curves with area under the curve (AUC) was calculated for cTnI predicting RVD and related cut-off levels for both groups.

Results

Thirty-seven PE patients (20.3%) had an active cancer disease or a history of cancer. In contrast, 145 (79.7%) of the included PE patients did not have a known cancer disease or a history of cancer. In the PE group with cancer, analysis of the ROC curve showed an AUC of 0.76 for cTnI predicting RVD with an optimal cut-off value of 0.04 ng/mL; the risk of misclassification was 25.0%. In the PE group without cancer, AUC was 0.81 for cTnI predicting RVD with an optimal cut-off value of 0.015 ng/mL; the risk of misclassification was 24.9%.

Conclusions

cTnI is effective for predicting RVD in PE patients with and without cancer. However, the effectiveness of cTnI to predict RVD was higher in PE patients without cancer than in those with cancer or a history of cancer.

Keywords: Cancer, cardiac troponin, pulmonary embolism, right ventricular dysfunction, risk stratification

Introduction

Cancer is connected with an increased risk of venous thromboembolism (VTE) and of its two VTE entities, pulmonary embolism (PE) and deep vein thrombosis (DVT).1,2 Cancer patients showed a four to seven-fold higher risk of developing a venous thromboembolic event in comparison to individuals without cancer.26 In addition, VTE is the second leading cause of death in patients with cancer, behind the cancer disease itself.2 Therefore, VTE events impair the prognosis of cancer patients substantially.2,3,714

We aimed to investigate the impact of cancer on the effectiveness of cardiac Troponin I (cTnI) to predict right ventricular dysfunction (RVD) in acute PE.

Methods

Study design

A retrospective analysis of all PE patients who were treated at the internal medicine department between May 2006 and June 2011 was performed. We reviewed the medical records of 182 PE patients for anamnesis (symptoms and history), examinations (transthoracic two dimensional-echocardiography, computed tomography [CT], ventilation-perfusion [V/Q] scan, duplex ultrasound of the leg veins) and laboratory parameters.

In studies in Germany with a retrospective analysis of diagnostic standard data, no ethic statement is required.

Enrolled subjects

Patients were eligible for our analysis if they were at least 18 years old, treated in the internal medicine department of the hospital, and had a confirmed acute PE. PE patients were identified through a search on the hospital information system database for the diagnostic code of PE (ICD-10-Code I26).

PE diagnosis was confirmed if the patients had: a computed pulmonary angiogram of the chest with an identified filling defect in the pulmonary artery system; or a scintigraphic V/Q scan read as high probability for PE; or the patients showed a positive venous ultrasound or phlebography of an extremity consistent with DVT in patients with typical symptoms of PE (chest pain or dyspnoea) and positive D-dimer.

All of the radiographic images were analysed by experienced radiologists. If a PE diagnosis was not confirmed by these criteria, the patients were not included in this study.

Study groups

In this study, PE patients were subdivided into two groups:

  1. PE group with cancer: PE patients with concomitant active cancer disease or a history of cancer. Types of cancer were not differentiated.

  2. PE group without cancer: PE patients without concomitant known cancer or a history of cancer.

Laboratory examinations

Our analysis focused on cTnI level. Myocardial necrosis in acute PE was defined as an elevation of cTnI value >0.1 ng/mL.

Definition of right ventricular dysfunction

Right ventricular dysfunction was defined as a right ventricular (RV) enlargement corresponding to a quotient of the RV septal-lateral diameter divided by a left ventricular septal-lateral diameter of >0.9 in four chamber view in a CT or transthoracal echocardiography.15 Moreover, RVD was defined as RV hypokinesis and tricuspid regurgitation in echocardiography.15

Statistics

We compared the cTnI values of both groups with a Wilcoxon-Mann-Whitney-test. The receiver operating characteristic (ROC) curves with area under the curve (AUC) and Youden-Index (YI) with cut-off values were calculated to test the effectiveness of cTnI to predict a RVD in both groups. ROC curve and YI are frequently used tools to measure the effectiveness of diagnostic markers and enable the selection of an optimal cut-off value for this marker.16,17 In our study, the calculated YI cut-off value of cTnI was used to predict RVD in PE.

The commercial software BIAS (version 10.04, Epsilon-Verlag, Darmstadt; Dr. H. Ackerman, University Medical Center, Frankfurt, Germany) was used for data processing and statistical computing.

Results

A total of 182 PE patients (61.5% women) met the inclusion criteria and were included in this study. PE diagnosis was confirmed in 85.7% by CT, in 10.5% with V/Q scan, and in 3.8% by positive venous ultrasound or phlebography of an extremity consistent with DVT, in patients with typical symptoms of PE (chest pain or dyspnoea) and positive D-dimer value.

An active cancer disease or a history of cancer was reported in 37 PE patients (20.3%). In contrast, 145 (79.7%) of the included PE patients did not have a known cancer disease or a history of cancer.

The cTnI values were not significantly different between the PE patients with cancer or a history of cancer and in PE patients without a cancer diagnosis (0.15 ± 0.22 vs. 0.12 ± 0.29, P = 0.16).

In the PE group with cancer, analysis of the ROC curve showed an AUC of 0.76 for cTnI predicting RVD with an optimal cut-off value of 0.04 ng/mL. The risk of an incorrect classification was 25%, sensitivity 74%, and specificity 76% (Fig 1).

Figure 1.

Figure 1

Receiver operating characteristic curve and Youden-Index with optimal cut-off point for cardiac Troponin I predicting right ventricular dysfunction in pulmonary embolism patients with active cancer or history of cancer.

In the PE group without cancer, the AUC was higher (0.81) with an optimal cut-off value of 0.015 ng/mL and comparable risk of misclassification (25%). The sensitivity and specificity of the test was 79% and 72%, respectively (Fig 2).

Figure 2.

Figure 2

Receiver operating characteristic curve and Youden-Index with optimal cut-off point for cardiac Troponin I predicting right ventricular dysfunction in pulmonary embolism patients without known cancer or history of cancer.

Discussion

Cancer, as well as cancer related therapies, such as surgery, chemotherapy or supportive regimes, are well-known risk factors for both PE and DVT.1,3,6,7,9,10,1824 PE events are more frequent among cancer patients than in individuals without cancer.25,26 Additionally, VTE events are strongly connected with poorer outcome and shorter survival in cancer patients.2,3,79,2732

To our knowledge, there have been no previous study results available about the impact of cancer on the effectiveness of cTnI to predict RVD in acute PE.

Apart from the impact of VTE on the prognosis of cancer patients, it is well known that RVD, as well as elevated (cTn) levels in PE patients, appears to alter patient outcome significantly.24,3346 Both risk stratification markers, cTnI and RVD, are important for outcome prediction in acute PE.

Our study results reveal that cTnI is effective in predicting an RVD in PE patients with cancer, a history of cancer, and in PE patients without a cancer diagnosis. However, the effectiveness of cTnI to predict RVD was higher in PE patients without a cancer diagnosis than in those with cancer or a history of cancer. The AUC for cTnI to predict RVD was higher and the cut-off value to differentiate between PE patients with and without RVD was lower in PE patients without cancer than in PE patients with active cancer or a history of cancer.

In our study, the cTnI cut-off levels for predicting RVD in PE patients without cancer (>0.015 ng/mL), as well as in PE patients with cancer (>0.04 ng/mL), were low, below the published cut-off value reported by Henzler et al. (>0.07 ng/mL).47 Kucher et al. reported a cut-off value of 0.06 ng/mL for prediction of an adverse outcome.48 Konstantinidis et al. (0.04 ng/mL and 0.07 ng/mL), Giannitsis et al. (0.10 ng/mL), and Janata et al. (0.09 ng/mL) described higher cut-off values for prediction of in-hospital death.37,4951 In consensus with our results, Pruszczyk et al. and Ozsu et al. (each with 0.01 ng/mL) reported similar low cut-off values for prediction of in-hospital death and death in the first 30 days after a PE event.50,5254

Our study results revealed that the biomarker cTnI for prediction of RVD was effective in both groups. The AUC values in both PE patients with cancer (0.76) and without cancer (0.81) were beyond the published AUC values of Henzler et al. (0.70) and Logeart et al. (0.72).47,55 In contrast, Janata et al. reported a higher AUC (0.92) for cTnT predicting in-hospital death.51 Kucher et al. also reported a higher AUC (0.89) for cTnI predicting an adverse outcome than in our study for predicting RVD.48 Henzler et al. reported a similar sensitivity and specificity to ours.47

The main limitations of this study were the small sample size, the single center design, and the retrospective data assessment; therefore, follow-up examinations and strong outcome endpoint data after initial hospitalization are missing. Moreover, it is not known how many of the included PE patients without known active cancer or a history of cancer developed cancer after the PE event, which was not diagnosed up to their dismissal. It has been established that patients with acute VTE show an increased risk of occult malignancy.6,32,5660

Conclusions

cTnI is effective in predicting a RVD in PE patients with cancer, a history of cancer, or without a cancer diagnosis. However, the effectiveness of cTnI to predict RVD was higher in PE patients without a cancer diagnosis than in those with cancer or a history of cancer.

Disclosure

No authors report any conflict of interest.

References

  1. Stricker H. Venous thromboembolism and cancer: pathophysiology and incidence. Vasa. 2014;43:239–243. doi: 10.1024/0301-1526/a000358. [DOI] [PubMed] [Google Scholar]
  2. Gary T. Cancer related venous thromboembolism – prophylaxis and therapy. Vasa. 2014;43:245–251. doi: 10.1024/0301-1526/a000359. [DOI] [PubMed] [Google Scholar]
  3. Falanga A, Russo L. Epidemiology, risk and outcomes of venous thromboembolism in cancer. Hamostaseologie. 2012;32:115–125. doi: 10.5482/ha-1170. [DOI] [PubMed] [Google Scholar]
  4. van Es N, Bleker SM, Di Nisio M. Cancer-associated unsuspected pulmonary embolism. Thromb Res. 2014;133(Suppl 2):S172–178. doi: 10.1016/S0049-3848(14)50028-X. [DOI] [PubMed] [Google Scholar]
  5. Noble S, Pasi J. Epidemiology and pathophysiology of cancer-associated thrombosis. Br J Cancer. 2010;102(Suppl 1):S2–9. doi: 10.1038/sj.bjc.6605599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Lee AY, Levine MN. Venous thromboembolism and cancer: risks and outcomes. Circulation. 2003;107(23 Suppl. 1):I17–21. doi: 10.1161/01.CIR.0000078466.72504.AC. [DOI] [PubMed] [Google Scholar]
  7. Levitan N, Dowlati A, Remick SC, et al. Rates of initial and recurrent thromboembolic disease among patients with malignancy versus those without malignancy. Risk analysis using Medicare claims data. Medicine. 1999;78:285–291. doi: 10.1097/00005792-199909000-00001. [DOI] [PubMed] [Google Scholar]
  8. Goldhaber SZ, Visani L, De Rosa M. Acute pulmonary embolism: clinical outcomes in the International Cooperative Pulmonary Embolism Registry (ICOPER) Lancet. 1999;353:1386–1389. doi: 10.1016/s0140-6736(98)07534-5. [DOI] [PubMed] [Google Scholar]
  9. Lee A. VTE in patients with cancer–diagnosis, prevention, and treatment. Thromb Res. 2008;123(Suppl 1):S50–54. doi: 10.1016/j.thromres.2008.08.017. [DOI] [PubMed] [Google Scholar]
  10. Monreal M, Falgá C, Valdés M, et al. Fatal pulmonary embolism and fatal bleeding in cancer patients with venous thromboembolism: findings from the RIETE registry. J Thromb Haemost. 2006;4:1950–1956. doi: 10.1111/j.1538-7836.2006.02082.x. [DOI] [PubMed] [Google Scholar]
  11. Carson JL, Kelley MA, Duff A, et al. The clinical course of pulmonary embolism. N Engl J Med. 1992;326:1240–1245. doi: 10.1056/NEJM199205073261902. [DOI] [PubMed] [Google Scholar]
  12. Mandalà M, Falanga A, Roila F ESMO Guidelines Working Group. Management of venous thromboembolism (VTE) in cancer patients: ESMO Clinical Practice Guidelines. Ann Oncol. 2011;22(Suppl 6):vi85–92. doi: 10.1093/annonc/mdr392. [DOI] [PubMed] [Google Scholar]
  13. White RH. The epidemiology of venous thromboembolism. Circulation. 2003;107(23 Suppl 1):I4–8. doi: 10.1161/01.CIR.0000078468.11849.66. [DOI] [PubMed] [Google Scholar]
  14. Lee AY, Peterson EA. Treatment of cancer-associated thrombosis. Blood. 2013;122:2310–2317. doi: 10.1182/blood-2013-04-460162. [DOI] [PubMed] [Google Scholar]
  15. Jaff MR, McMurtry MS, Archer SL, et al. Management of massive and submassive pulmonary embolism, iliofemoral deep vein thrombosis, and chronic thromboembolic pulmonary hypertension: A scientific statement from the American Heart Association. Circulation. 2011;123:1788–1830. doi: 10.1161/CIR.0b013e318214914f. [DOI] [PubMed] [Google Scholar]
  16. Fluss R, Faraggi D, Reiser B. Estimation of the Youden Index and its associated cutoff point. Biom J. 2005;47:458–472. doi: 10.1002/bimj.200410135. [DOI] [PubMed] [Google Scholar]
  17. Perkins NJ, Schisterman EF. The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve. Am J Epidemiol. 2006;163:670–675. doi: 10.1093/aje/kwj063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Piovesan D, Attard C, Monagle P, Ignjatovic V. Epidemiology of venous thrombosis in children with cancer. Thromb Haemost. 2014;111:1015–1021. doi: 10.1160/TH13-10-0827. [DOI] [PubMed] [Google Scholar]
  19. Lee YG, Kim I, Lee E, et al. Risk factors and prognostic impact of venous thromboembolism in Asian patients with non-small cell lung cancer. Thromb Haemost. 2014;111:1112–1120. doi: 10.1160/TH13-11-0956. [DOI] [PubMed] [Google Scholar]
  20. Prandoni P, Lensing AW, Büller HR, et al. Deep-vein thrombosis and the incidence of subsequent symptomatic cancer. N Engl J Med. 1992;327:1128–1133. doi: 10.1056/NEJM199210153271604. [DOI] [PubMed] [Google Scholar]
  21. Heit JA, Silverstein MD, Mohr DN, Petterson TM, O’Fallon WM, Melton LJ., 3rd Risk factors for deep vein thrombosis and pulmonary embolism: a population-based case-control study. Arch Intern Med. 2000;160:809–815. doi: 10.1001/archinte.160.6.809. [DOI] [PubMed] [Google Scholar]
  22. Akl EA, Barba M, Rohilla S, et al. Anticoagulation for the long term treatment of venous thromboembolism in patients with cancer. Cochrane Database Syst Rev. 2008;(2) doi: 10.1002/14651858.CD006650.pub2. CD006650. [DOI] [PubMed] [Google Scholar]
  23. Goldhaber SZ, Morrison RB. Cardiology patient pages. Pulmonary embolism and deep vein thrombosis. Circulation. 2002;106:1436–1438. doi: 10.1161/01.cir.0000031167.64088.f6. [DOI] [PubMed] [Google Scholar]
  24. Konstantinides S, Torbicki A, Agnelli G, et al. 2014 ESC 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) endorsed by the European Respiratory Society (ERS) Eur Heart J. 2014;35:3033–3080. [Google Scholar]
  25. Svendsen E, Karwinski B. Prevalence of pulmonary embolism at necropsy in patients with cancer. J Clin Pathol. 1989;42:805–809. doi: 10.1136/jcp.42.8.805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Trujillo-Santos J, Monreal M. Management of unsuspected pulmonary embolism in cancer patients. Expert Rev Hematol. 2013;6:83–88. doi: 10.1586/ehm.12.72. [DOI] [PubMed] [Google Scholar]
  27. Goldhaber SZ, Bounameaux H. Pulmonary embolism and deep vein thrombosis. Lancet. 2012;379:1835–1846. doi: 10.1016/S0140-6736(11)61904-1. [DOI] [PubMed] [Google Scholar]
  28. Heit JA. Venous thromboembolism: disease burden, outcomes and risk factors. J Thromb Haemost. 2005;3:1611–1617. doi: 10.1111/j.1538-7836.2005.01415.x. [DOI] [PubMed] [Google Scholar]
  29. Lee KW, Bang SM, Kim S, et al. The incidence, risk factors and prognostic implications of venous thromboembolism in patients with gastric cancer. J Thromb Haemost. 2010;8:540–547. doi: 10.1111/j.1538-7836.2009.03731.x. [DOI] [PubMed] [Google Scholar]
  30. Kostadima E, Zakynthinos E. Pulmonary embolism: pathophysiology, diagnosis, treatment. Hellenic J Cardiol. 2007;48:94–107. [PubMed] [Google Scholar]
  31. Hawbaker S. Venous thromboembolism in the cancer population: pathology, risk, and prevention. J Adv Pract Oncol. 2012;3:23–33. [PMC free article] [PubMed] [Google Scholar]
  32. Zwicker JI, Furie BC, Furie B. Cancer-associated thrombosis. Crit Rev Oncol Hematol. 2007;62:126–136. doi: 10.1016/j.critrevonc.2007.01.001. [DOI] [PubMed] [Google Scholar]
  33. Kreit JW. The impact of right ventricular dysfunction on the prognosis and therapy of normotensive patients with pulmonary embolism. Chest. 2004;125:1539–1545. doi: 10.1378/chest.125.4.1539. [DOI] [PubMed] [Google Scholar]
  34. Becattini C, Vedovati MC, Agnelli G. Prognostic value of troponins in acute pulmonary embolism: a meta-analysis. Circulation. 2007;116:427–433. doi: 10.1161/CIRCULATIONAHA.106.680421. [DOI] [PubMed] [Google Scholar]
  35. Hsu JT, Chu CM, Chang ST, et al. Prognostic role of alveolar-arterial oxygen pressure difference in acute pulmonary embolism. Circ J. 2006;70:1611–1616. doi: 10.1253/circj.70.1611. [DOI] [PubMed] [Google Scholar]
  36. Goldhaber SZ. Assessing the prognosis of acute pulmonary embolism: Tricks of the trade. Chest. 2008;133:334–336. doi: 10.1378/chest.07-2464. [DOI] [PubMed] [Google Scholar]
  37. Giannitsis E, Müller-Bardorff M, Kurowski V, et al. Independent prognostic value of cardiac troponin T in patients with confirmed pulmonary embolism. Circulation. 2000;102:211–217. doi: 10.1161/01.cir.102.2.211. [DOI] [PubMed] [Google Scholar]
  38. Jiménez D, Uresandi F, Otero R, et al. Troponin-based risk stratification of patients with acute nonmassive pulmonary embolism: Systematic review and metaanalysis. Chest. 2009;136:974–982. doi: 10.1378/chest.09-0608. [DOI] [PubMed] [Google Scholar]
  39. Schellhaass A, Walther A, Konstantinides S, Böttiger BW. The diagnosis and treatment of acute pulmonary embolism. Dtsch Arztebl Int. 2010;107:589–595. doi: 10.3238/arztebl.2010.0589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Margato R, Carvalho S, Ribeiro H, Mateus P, Fontes P, Moreira JI. Cardiac troponin I levels in acute pulmonary embolism. Rev Port Cardiol. 2009;28:1213–1222. [PubMed] [Google Scholar]
  41. Torbicki A, Perrier A, Konstantinides S, 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. doi: 10.1093/eurheartj/ehn310. [DOI] [PubMed] [Google Scholar]
  42. Jiménez D, Diaz G, Molina J, et al. Troponin I and risk stratification of patients with acute nonmassive pulmonary embolism. Eur Respir J. 2008;31:847–853. doi: 10.1183/09031936.00113307. [DOI] [PubMed] [Google Scholar]
  43. Sanchez O, Trinquart L, Colombet I, 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. doi: 10.1093/eurheartj/ehn208. [DOI] [PubMed] [Google Scholar]
  44. Mikulewicz M, Lewczuk J. Importance of cardiac biomarkers in risk stratification in acute pulmonary embolism. Cardiol J. 2008;15:17–20. [PubMed] [Google Scholar]
  45. NACB Writing Group. Wu AH, Jaffe AS, et al. National Academy of Clinical Biochemistry laboratory medicine practice guidelines: Use of cardiac troponin and B-type natriuretic peptide or N-terminal proB-type natriuretic peptide for etiologies other than acute coronary syndromes and heart failure. Clin Chem. 2007;53:2086–2096. doi: 10.1373/clinchem.2007.095679. [DOI] [PubMed] [Google Scholar]
  46. Masotti L, Righini M, Vuilleumier N, et al. Prognostic stratification of acute pulmonary embolism: focus on clinical aspects, imaging, and biomarkers. Vasc Health Risk Manag. 2009;5:567–575. doi: 10.2147/vhrm.s4861. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Henzler T, Roeger S, Meyer M, et al. Pulmonary embolism: CT signs and cardiac biomarkers for predicting right ventricular dysfunction. Eur Respir J. 2012;39:919–926. doi: 10.1183/09031936.00088711. [DOI] [PubMed] [Google Scholar]
  48. Kucher N, Wallmann D, Carone A, Windecker S, Meier B, Hess OM. Incremental prognostic value of troponin I and echocardiography in patients with acute pulmonary embolism. Eur Heart J. 2003;24:1651–1656. doi: 10.1016/s0195-668x(03)00394-4. [DOI] [PubMed] [Google Scholar]
  49. Konstantinides S, Geibel A, Olschewski M, et al. Importance of cardiac troponins I and T in risk stratification of patients with acute pulmonary embolism. Circulation. 2002;106:1263–1268. doi: 10.1161/01.cir.0000028422.51668.a2. [DOI] [PubMed] [Google Scholar]
  50. Kucher N, Goldhaber SZ. Cardiac biomarkers for risk stratification of patients with acute pulmonary embolism. Circulation. 2003;108:2191–2194. doi: 10.1161/01.CIR.0000100687.99687.CE. [DOI] [PubMed] [Google Scholar]
  51. Janata K, Holzer M, Laggner AN, Müllner M. Cardiac troponin T in the severity assessment of patients with pulmonary embolism: Cohort study. BMJ. 2003;326:312–313. doi: 10.1136/bmj.326.7384.312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Pruszczyk P, Bochowicz A, Torbicki A, et al. Cardiac troponin T monitoring identifies high-risk group of normotensive patients with acute pulmonary embolism. Chest. 2003;123:1947–1952. doi: 10.1378/chest.123.6.1947. [DOI] [PubMed] [Google Scholar]
  53. Ozsu S, Abul Y, Orem A, et al. Predictive value of troponins and simplified pulmonary embolism severity index in patients with normotensive pulmonary embolism. Multidiscip Respir Med. 2013;8:34. doi: 10.1186/2049-6958-8-34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Keller K, Beule J, Schulz A, Coldewey M, Dippold W, Balzer JO. Right ventricular dysfunction in hemodynamically stable patients with acute pulmonary embolism. Thromb Res. 2014;133:555–559. doi: 10.1016/j.thromres.2014.01.010. [DOI] [PubMed] [Google Scholar]
  55. Logeart D, Lecuyer L, Thabut G, et al. Biomarker-based strategy for screening right ventricular dysfunction in patients with non-massive pulmonary embolism. Intensive Care Med. 2007;33:286–292. doi: 10.1007/s00134-006-0482-1. [DOI] [PubMed] [Google Scholar]
  56. Monreal M, Lensing AW, Prins MH, et al. Screening for occult cancer in patients with acute deep vein thrombosis or pulmonary embolism. J Thromb Haemost. 2004;2:876–881. doi: 10.1111/j.1538-7836.2004.00721.x. [DOI] [PubMed] [Google Scholar]
  57. Sorensen HT, Mellemkjaer L, Steffensen FH, Olsen JH, Nielsen GL. The risk of a diagnosis of cancer after primary deep venous thrombosis or pulmonary embolism. N Engl J Med. 1998;338:1169–1173. doi: 10.1056/NEJM199804233381701. [DOI] [PubMed] [Google Scholar]
  58. de Oliveira AL, Ribeiro A, Reis LF, Raymundo SR, de Godoy JM. Chest radiography as a method of screening for occult cancer in patients with idiopathic deep vein thrombosis. Angiology. 2012;63:378–379. doi: 10.1177/0003319711421663. [DOI] [PubMed] [Google Scholar]
  59. Bierry G, Holl N, Kellner F, et al. Venous thromboembolism and occult malignancy: simultaneous detection during pulmonary CT angiography with CT venography. AJR Am J Roentgenol. 2008;191:885–889. doi: 10.2214/AJR.07.3516. [DOI] [PubMed] [Google Scholar]
  60. Caine GJ, Stonelake PS, Lip GY, Kehoe ST. The hypercoagulable state of malignancy: pathogenesis and current debate. Neoplasia. 2002;4:465–473. doi: 10.1038/sj.neo.7900263. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Thoracic Cancer are provided here courtesy of Wiley

RESOURCES