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Published in: Thrombosis Journal 1/2016

Open Access 01-12-2016 | Research

External validation of prognostic rules for early post-pulmonary embolism mortality: assessment of a claims-based and three clinical-based approaches

Authors: Erin R. Weeda, Christine G. Kohn, Gregory J. Fermann, W. Frank Peacock, Christopher Tanner, Daniel McGrath, Concetta Crivera, Jeff R. Schein, Craig I. Coleman

Published in: Thrombosis Journal | Issue 1/2016

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Abstract

Background

Studies show the In-hospital Mortality for Pulmonary embolism using Claims daTa (IMPACT) rule can accurately identify pulmonary embolism (PE) patients at low-risk of early mortality in a retrospective setting using only claims for the index admission. We sought to externally validate IMPACT, Pulmonary Embolism Severity Index (PESI), simplified PESI (sPESI) and Hestia for predicting early mortality.

Methods

We identified consecutive adults admitted for objectively-confirmed PE between 10/21/2010 and 5/12/2015. Patients undergoing thrombolysis/embolectomy within 48 h were excluded. All-cause in-hospital and 30 day mortality (using available Social Security Death Index data through January 2014) were assessed and prognostic accuracies of IMPACT, PESI, sPESI and Hestia were determined.

Results

Twenty-one (2.6 %) of the 807 PE patients died before discharge. All rules classified 26.1–38.3 % of patients as low-risk for early mortality. Fatality among low-risk patients was 0 % (sPESI and Hestia), 0.4 % (IMPACT) and 0.6 % (PESI). IMPACT’s sensitivity was 95.2 % (95 % confidence interval [CI] = 74.1–99.8 %), and the sensitivities of clinical rules ranged from 91 (PESI)-100 % (sPESI and Hestia). Specificities of all rules ranged between 26.8 and 39.1 %. Of 573 consecutive patients in the 30 day mortality analysis, 33 (5.8 %) died. All rules classified 27.9–38.0 % of patients as low-risk, and fatality occurred in 0 (Hestia)-1.4 % (PESI) of low-risk patients. IMPACT’s sensitivity was 97.0 % (95%CI = 82.5–99.8 %), while sensitivities for clinical rules ranged from 91 (PESI)-100 % (Hestia). Specificities of rules ranged between 29.6 and 39.8 %.

Conclusion

In this analysis, IMPACT identified low-risk PE patients with similar accuracy as clinical rules. While not intended for prospective clinical decision-making, IMPACT appears useful for identification of low-risk PE patient in retrospective claims-based studies.
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Literature
1.
go back to reference Kearon C, Akl EA, Ornelas J, Blaivas A, Jimenez D, Bounameaux H, Huisman M, King CS, Morris T, Sood N, Stevens SM, Vintch JRE, Wells P, Woller SC, Moores CL, Antithrombotic Therapy for VTE Disease: CHEST Guideline, CHEST (2016), doi: 10.1016/j.chest.2015.11.026. Kearon C, Akl EA, Ornelas J, Blaivas A, Jimenez D, Bounameaux H, Huisman M, King CS, Morris T, Sood N, Stevens SM, Vintch JRE, Wells P, Woller SC, Moores CL, Antithrombotic Therapy for VTE Disease: CHEST Guideline, CHEST (2016), doi: 10.​1016/​j.​chest.​2015.​11.​026.
2.
go back to reference Konstantinides SV, Torbicki A, Agnelli G, Danchin N, Fitzmaurice D, Galiè N, et al. 2014 ESC guidelines on the diagnosis and management of acute pulmonary embolism. Eur Heart J. 2014;35:3033–69.CrossRefPubMed Konstantinides SV, Torbicki A, Agnelli G, Danchin N, Fitzmaurice D, Galiè N, et al. 2014 ESC guidelines on the diagnosis and management of acute pulmonary embolism. Eur Heart J. 2014;35:3033–69.CrossRefPubMed
3.
go back to reference Zondag W, Kooiman J, Klok FA, Dekkers OM, Huisman MV. Outpatient versus inpatient treatment in patients with pulmonary embolism: a meta-analysis. Eur Respir J. 2013;42:134–44.CrossRefPubMed Zondag W, Kooiman J, Klok FA, Dekkers OM, Huisman MV. Outpatient versus inpatient treatment in patients with pulmonary embolism: a meta-analysis. Eur Respir J. 2013;42:134–44.CrossRefPubMed
4.
go back to reference Aujesky D, Roy PM, Verschuren F, Righini M, Osterwalder J, Egloff M, et al. Outpatient versus inpatient treatment for patients with acute pulmonary embolism: an international, open-label, randomised, non-inferiority trial. Lancet. 2011;378:41–8.CrossRefPubMed Aujesky D, Roy PM, Verschuren F, Righini M, Osterwalder J, Egloff M, et al. Outpatient versus inpatient treatment for patients with acute pulmonary embolism: an international, open-label, randomised, non-inferiority trial. Lancet. 2011;378:41–8.CrossRefPubMed
5.
go back to reference Kohn CG, Mearns ES, Parker MW, Hernandez AV, Coleman CI. Prognostic accuracy of clinical prediction rules for early post-pulmonary embolism all-cause mortality: A bivariate meta-analysis. Chest. 2015;147:1043–62.CrossRefPubMed Kohn CG, Mearns ES, Parker MW, Hernandez AV, Coleman CI. Prognostic accuracy of clinical prediction rules for early post-pulmonary embolism all-cause mortality: A bivariate meta-analysis. Chest. 2015;147:1043–62.CrossRefPubMed
6.
go back to reference Aujesky D, Obrosky DS, Stone RA, Auble TE, Perrier A, Cornuz J, et al. Derivation and validation of a prognostic model for pulmonary embolism. Am J Respir Crit Care Med. 2005;172:1041–6.CrossRefPubMedPubMedCentral Aujesky D, Obrosky DS, Stone RA, Auble TE, Perrier A, Cornuz J, et al. Derivation and validation of a prognostic model for pulmonary embolism. Am J Respir Crit Care Med. 2005;172:1041–6.CrossRefPubMedPubMedCentral
7.
go back to reference Jiménez D, Aujesky D, Moores L, Gómez V, Lobo JL, Uresandi F, et al. Simplification of the pulmonary embolism severity index for prognostication in patients with acute symptomatic pulmonary embolism. Arch Intern Med. 2010;170:1383–9.CrossRefPubMed Jiménez D, Aujesky D, Moores L, Gómez V, Lobo JL, Uresandi F, et al. Simplification of the pulmonary embolism severity index for prognostication in patients with acute symptomatic pulmonary embolism. Arch Intern Med. 2010;170:1383–9.CrossRefPubMed
8.
go back to reference Zondag W, den Exter PL, Crobach MJ, Dolsma A, Donker ML, Eijsvogel M, et al. Comparison of two methods for selection of out of hospital treatment in patients with acute pulmonary embolism. Thromb Haemost. 2013;109:47–52.CrossRefPubMed Zondag W, den Exter PL, Crobach MJ, Dolsma A, Donker ML, Eijsvogel M, et al. Comparison of two methods for selection of out of hospital treatment in patients with acute pulmonary embolism. Thromb Haemost. 2013;109:47–52.CrossRefPubMed
9.
go back to reference Coleman CI, Kohn CG, Bunz TJ. Derivation and validation of the In-hospital mortality for pulmonary embolism using claims daTa (IMPACT) prediction rule. Curr Med Res Opin. 2015;31:1461–8.CrossRefPubMed Coleman CI, Kohn CG, Bunz TJ. Derivation and validation of the In-hospital mortality for pulmonary embolism using claims daTa (IMPACT) prediction rule. Curr Med Res Opin. 2015;31:1461–8.CrossRefPubMed
10.
go back to reference Coleman CI, Kohn CG, Crivera C, Schein JR, Peacock WF. Validation of the multivariable in-hospital mortality for pulmonary embolism using claims daTa (IMPACT) prediction rule within an all-payer inpatient administrative claims database. BMJ Open. 2015;5:e009251.CrossRefPubMedPubMedCentral Coleman CI, Kohn CG, Crivera C, Schein JR, Peacock WF. Validation of the multivariable in-hospital mortality for pulmonary embolism using claims daTa (IMPACT) prediction rule within an all-payer inpatient administrative claims database. BMJ Open. 2015;5:e009251.CrossRefPubMedPubMedCentral
11.
go back to reference Kohn CG, Peacock WF, Fermann GJ, Bunz TJ, Crivera C, Schein JR, et al. External validation of the in-hospital mortality for pulmonary embolism using claims data (IMPACT) multivariable prediction rule. Int J Clin Pract. 2016;70:82–8.CrossRefPubMed Kohn CG, Peacock WF, Fermann GJ, Bunz TJ, Crivera C, Schein JR, et al. External validation of the in-hospital mortality for pulmonary embolism using claims data (IMPACT) multivariable prediction rule. Int J Clin Pract. 2016;70:82–8.CrossRefPubMed
12.
go back to reference Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1–73.CrossRefPubMed Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1–73.CrossRefPubMed
15.
go back to reference Wiener RS, Schwartz LM, Woloshin S. Time trends in pulmonary embolism in the United States: evidence of overdiagnosis. Arch Intern Med. 2011;171:831–7.PubMedPubMedCentral Wiener RS, Schwartz LM, Woloshin S. Time trends in pulmonary embolism in the United States: evidence of overdiagnosis. Arch Intern Med. 2011;171:831–7.PubMedPubMedCentral
Metadata
Title
External validation of prognostic rules for early post-pulmonary embolism mortality: assessment of a claims-based and three clinical-based approaches
Authors
Erin R. Weeda
Christine G. Kohn
Gregory J. Fermann
W. Frank Peacock
Christopher Tanner
Daniel McGrath
Concetta Crivera
Jeff R. Schein
Craig I. Coleman
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Thrombosis Journal / Issue 1/2016
Electronic ISSN: 1477-9560
DOI
https://doi.org/10.1186/s12959-016-0081-5

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