Diagnosis or Prognosis of Postsurgical Adverse Events

Patent metadata

Field	Value
Publication number	US-2022187313-A1
Application number	US-202017432049-A
Country	US
Kind code	A1
Filing date	Feb 21, 2020
Priority date	Feb 21, 2019
Publication date	Jun 16, 2022
Grant date	—

Abstract

The invention relates to a method for the diagnosis, prognosis, risk assessment and/or risk stratification of an adverse event in the health of a postsurgical patient, comprising providing at least one sample of a patient, who has undergone, is undergoing or will undergo surgery, wherein the at least one sample has been isolated from the patient presurgically, perioperative or postsurgically, determining a level of at least one biomarker selected from the group consisting of proADM, PCT and pro ET-1 or fragment(s) thereof in said at least one sample, wherein said level of the at least one biomarker or fragment(s) thereof correlates with the likelihood of said adverse event. In some embodiments the method is used for predicting or diagnosing an elevated or decreased likelihood of a postsurgical infection or blood infection. In some embodiments the method is used for predicting or diagnosing an elevated or decreased likelihood of a postsurgical adverse cardiovascular or cerebrovascular event, preferably a major adverse cardiovascular or cerebrovascular event (MACCE), major myocardial injury after non-cardiac surgery (MINS) or perioperative myocardial injury (PMI). In some embodiments the method additionally comprises therapy guidance, stratification and/or control in relation to said postsurgical adverse events, in particular an infection or an adverse cardiovascular or cerebrovascular event.

First claim

1 . Method for the diagnosis, prognosis, risk assessment and/or risk stratification of an adverse event in the health of a postsurgical patient, comprising
providing at least one sample of a patient, who has undergone, is undergoing or will undergo surgery, wherein the at least one sample has been isolated from the patient presurgically, perioperative or postsurgically, determining a level of at least one biomarker in said at least one sample, wherein said level of the at least one biomarker or fragment(s) thereof correlates with the likelihood of said adverse event, wherein the at least one biomarker is proADM or fragment(s) thereof and the adverse event is an infection.

2 . Method according to claim 1 , wherein the adverse event is a fungal, a bacterial or a viral infection.

3 . Method according to claim 1 or 2 , wherein the infection is a blood infection, a respiratory tract infection, a urinary tract infection, a skin infection or an abdominal cavity infection.

4 . Method according to any one of the preceding claims, wherein the adverse event is a blood stream infection, sepsis, severe sepsis and/or septic shock.

5 . Method according to claim 1 , wherein the adverse event is a cardiovascular or cerebrovascular event and an infection.

6 . Method according to claim 1 , wherein the adverse event is a myocardial injury after non-cardiac surgery (MINS) and an infection.

7 . Method according to claim 1 , wherein the adverse event is a major cardiovascular or cerebrovascular event (MACCE) and an infection.

8 . Method according to claim 1 , wherein the adverse event is a cardiovascular or cerebrovascular event and a blood infection.

9 . Method according to claim 1 , wherein the adverse event is a myocardial injury after non-cardiac surgery (MINS) and a blood infection.

10 . Method according to claim 1 , wherein the adverse event is a major cardiovascular or cerebrovascular event (MACCE) and a blood infection.

11 . Method according to any one of the preceding claims, wherein a first sample is isolated from the patient at a first time point and a second sample is isolated from the patient at a second time point, wherein preferably between the first and the second time point at least 6 hours, 12 hours, 24 hours, 36 hours, 48 hours or more have passed.

12 . Method according to any one of the preceding claims, a first sample is isolated from the patient at a first time point and a second sample is isolated from the patient at a second time point, wherein the likelihood of an adverse event correlates with the absolute difference, the ratio and/or the rate of change of the level of said biomarker in regards to the first and second time point.

13 . Method according to any one of the preceding claims, wherein a first sample is isolated from the patient postsurgically at a first time point and a second sample is isolated from the patient postsurgically at a second time point, wherein preferably between the first and second time point at least 12 hours, 24 hours, 36 hours, 48 hours or more have passed and an increase or a leveling in the level of proADM or fragment(s) thereof indicates an elevated likelihood of the adverse event.

14 . Method according to any one of the preceding claims, wherein determining a level of proADM or fragment(s) thereof comprises determining a level of MR-proADM or mature ADM in the sample.

15 . Method according to any one of the preceding claims, additionally comprising a therapy guidance, stratification and/or control.

16 . Method according to any one of the preceding claims, wherein the level of the at least one biomarker correlates with the likelihood of an infection that is indicative of initiation of a treatment with an anti-infective agent, preferably an antibiotic agent.

17 . Method according to any one of the preceding claims, wherein the level of the at least one biomarker correlates with the likelihood of a postsurgical adverse event that is indicative of the patient requiring frequent or increased level of monitoring and/or critical care.

18 . Method according to any one of the preceding claims, wherein determining a level of at least one biomarker comprises determining the level of proADM or fragment(s) thereof and a level of proADM or fragment(s) thereof above a threshold value indicates an elevated likelihood of an infection.

19 . Method according to any one of the preceding claims, wherein determining a level of at least one biomarker comprises determining the level of proADM or fragment(s) thereof and a level of proADM or fragment(s) thereof above a threshold value indicates an elevated likelihood of a blood infection.

20 . Method according to any one of the preceding claims, wherein determining a level of at least one biomarker comprises determining the level of proADM or fragment(s) thereof and a level of proADM or fragment(s) thereof above a threshold value indicates an elevated likelihood of an infection, preferably a blood infection, and an adverse cardiovascular or cerebrovascular event, preferably a MACCE, PMI and/or a MINS.

21 . Kit for carrying out the method according to any one of the preceding claims, wherein the kit comprises
detection reagents for determining the level of at least one biomarker, wherein the at least one biomarker is proADM or fragment(s) thereof and reference data for the likelihood of a postsurgical adverse event, in particular reference data for threshold or cut-off value(s), wherein said reference data is preferably stored on a computer readable medium and/or employed in the form of computer executable code configured for comparing the determined levels of proADM or fragment(s) thereof with the threshold or cut-off value(s), wherein the adverse event is an infection.

22 . Method for the diagnosis, prognosis, risk assessment and/or risk stratification of an adverse event in the health of a postsurgical patient, comprising
providing at least one sample of a patient, who has undergone, is undergoing or will undergo surgery, wherein the at least one sample has been isolated from the patient presurgically, perioperative or postsurgically, determining a level of at least one biomarker in said at least one sample, wherein said level of the at least one biomarker or fragment(s) thereof correlates with the likelihood of said adverse event, wherein the at least one biomarker is PCT or fragment(s) thereof and the adverse event is a cardiovascular or cerebrovascular event.

23 . Method according to claim 22 , wherein the cardiovascular event is a myocardial infarction (MI).

24 . Method according to claim 22 , wherein the cardiovascular event is a myocardial injury after non-cardiac surgery (MINS).

25 . Method according to claim 22 , wherein the cardiovascular event is a major adverse cardiovascular or cerebrovascular event (MACCE).

26 . Method according to claim 22 , wherein the adverse event is a perioperative myocardial injury (PMI)

27 . Method according to claim 22 , wherein the cerebrovascular event is a stroke and/or a transient ischemic attack.

28 . Method according to claim 22 , wherein the adverse event is a cardiovascular or cerebrovascular event and an infection.

29 . Method according to claim 22 , wherein the adverse event is a myocardial injury after non-cardiac surgery (MINS) and an infection.

30 . Method according to claim

Assignees

• Brahms Gmbh
• Linkoeping Univ Hospital

Inventors

• Chew Michelle
• Andersson Henrik
• Wilson Darius

Classifications

• G01N2800/52

  Predicting or monitoring the response to treatment, e.g. for selection of therapy based on assay results in personalised medicine; Prognosis · CPC title

• G01N2800/26

  Infectious diseases, e.g. generalised sepsis · CPC title

• G01N33/6893 Primary

  related to diseases not provided for elsewhere · CPC title