PATENT CLAIM ANALYSIS

Application Number: 16377465
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-07
Patent Classification: ["436", "501000"]

Abstract:
The present invention relates to an in vitro method for the prognosis of an adverse event in asymptomatic subjects comprising the determination of the level of Procalcitonin (PCT) or a fragment thereof or a precursor or fragment thereof having at least 12 amino acid residues in a sample of a bodily fluid from said subject and the correlation of the determined level to a potential risk of sustaining an adverse event.

Claim (Index 18):
A method for determining an increased risk of an apparently healthy subject, preferably a human, for suffering from an adverse event, comprising:\n providing a sample from said subject; determining the level of procalcitonin (PCT) or of a fragment thereof in said sample; and determining whether said subject has an increased risk for suffering from an adverse event based on said PCT level, wherein said adverse event is not an event caused by an acute exogene induced adverse event and/or exogene induced trauma and wherein the following subjects are excluded from the group of apparently healthy subjects:\n neonates between 1 day to 3 days and \n patients after surgery wherein the surgery has been conducted within the last 7 days and \n post-trauma patients and persons which experienced said trauma within the last 7 days.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.5102
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15211802', '14391953', '12671823', '14223517', '14939595']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6670415739653809
- 35 USC 102 Novelty (BERT): 0.5135819272905284
- Combined Prediction Score: 0.6516956092978956
- Mean Citation Score: 244.818922
- Max Citation Score: 311.54398
- Similarity Product: 167.87579224536418

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test