Title |
External validation of a claims-based and clinical approach for predicting post-pulmonary embolism outcomes among United States veterans
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Published in |
Internal and Emergency Medicine, February 2017
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DOI | 10.1007/s11739-017-1625-9 |
Pubmed ID | |
Authors |
Christine G. Kohn, Erin R. Weeda, Neela Kumar, Philip S. Wells, W. Frank Peacock, Gregory J. Fermann, Li Wang, Onur Baser, Jeff R. Schein, Concetta Crivera, Craig I. Coleman |
Abstract |
The In-hospital Mortality for PulmonAry embolism using Claims daTa (IMPACT) rule can accurately identify pulmonary embolism (PE) patients at low risk of early complications using claims data. We sought to externally validate the IMPACT and simplified Pulmonary Embolism Severity Index (sPESI) tools for predicting all-cause mortality and readmission. We used Veteran Health Administration data (10/1/2010-9/30/2015) to identify adults with ≥1 inpatient diagnosis code for acute PE, ≥12 months continuous medical and pharmacy benefits prior to the index PE, ≥90 days of post-event follow-up (unless death occurred) and ≥1 claim for an anticoagulant during the index PE stay. Prognostic accuracies of IMPACT and sPESI for 30- and 90-day all-cause mortality and 90-day readmission were estimated. Of 6,746 PE patients, 7.5 and 12.6% died at 30 and 90 days. Within 90 days, 20.1% were readmitted for any reason. Hospitalization for recurrent VTE and major bleeding occurred in 5.6 and 1.7% of patients. IMPACT classified 15.2% as low risk, while 28.4% were low risk per sPESI. Both tools displayed sensitivity >90% and negative predictive values (NPVs) >97% for 30-day mortality, but low specificity (range 16.2-30.0) and positive predictive values (PPVs) (range 8.7-9.5); with similar results observed for 90-day mortality. IMPACT's sensitivity for all-cause readmission was numerically higher than sPESI (88.2 vs. 79.0%), but both had comparable NPVs (85.1 vs. 84.2%). Similar trends were observed for VTE or major bleeding readmissions. IMPACT classified patients for post-PE outcomes with similar accuracy as sPESI. IMPACT appears useful for identifying PE patients at low risk for early mortality or readmission in claims-based studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 7% |
Unknown | 13 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 2 | 14% |
Student > Doctoral Student | 2 | 14% |
Student > Bachelor | 2 | 14% |
Student > Master | 1 | 7% |
Researcher | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 36% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 4 | 29% |
Nursing and Health Professions | 1 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Economics, Econometrics and Finance | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Other | 0 | 0% |
Unknown | 6 | 43% |