PATENT CLAIM ANALYSIS

Application Number: 16380513
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["705", "002000"]

Abstract:
Measurement of circulating ST2 and natriuretic peptide (e.g., NT-proBNP) concentrations is useful for the prognostic evaluation of subjects, in particular for the prediction of adverse clinical outcomes, e.g., mortality, transplantation, and heart failure.

Claim (Index 1):
A method for evaluating the risk of mortality for a subject within one year, the method comprising:\n determining a multimarker mortality risk score for a subject based upon:\n the age of the subject; \n the level of ST2 in the subject, in combination with one or more of a natural logarithm of a level of a brain natriuretic peptide (BNP) in the subject; a level of troponin in the subject; a New York Heart Association (NYHA) score; a history of cardiovascular disease (CAD); a natural logarithm of a systolic blood pressure; a measure of renal function or a natural logarithm of a level of hemoglobin (Hgb), age; and \n comparing the multimarker mortality risk score to a reference multimarker mortality risk score; wherein the presence of a multimarker mortality risk score that is at or above the reference multimarker mortality risk score indicates that the subject has an increased risk of mortality within one year.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 1.35484
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15385095', '11789169', '13422574', '13787975', '15410155']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0873565921682321
- 35 USC 102 Novelty (BERT): 0.5775715454758492
- Combined Prediction Score: 0.1363780874989938
- Mean Citation Score: 292.468044
- Max Citation Score: 472.3801
- Similarity Product: 408.8184972509146

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test