Obstructive sleep apnea (osa) biomarker panel

A method of determining whether a therapy is effective for treating OSA, comprising the steps of

• a) taking a sample from a patient before the therapy;
• b) measuring the levels of two or more biomarkers in the sample from the patient, wherein the two or more biomarkers are selected from the group of HbA1c, CRP, IL-6, uric acid, and EPO;
• c) determining a pre-treatment multimarker index for the two or more biomarkers using a predetermined algorithm;
• d) taking a sample from the patient at a time point after the therapy;
• e) measuring the levels of the two or more biomarkers that are selected from the group of HbA1c, CRP, IL-6, uric acid, and EPO;
• f) determining a post-treatment multimarker index for the two or more biomarkers using the predetermined algorithm;
• and
• g) determining the therapy is effective if the post-treatment multimarker index is lower than the pre-treatment multimarker index and the predetermined algorithm is positive logic;
• or determining the therapy is effective if the multimarker index is higher than the predetermined reference value and the predetermined algorithm is negative logic.

A method of determining whether a therapy is effective for treating OSA, comprising the steps of

• a) taking a sample from a patient at a time point during or after the therapy;
• b) measuring the levels of two or more biomarkers that are selected from the groups consisting of HbA1c, CRP, IL-6, uric acid, and EPO;
• c) determining a post-treatment multimarker index for the two or more biomarkers using a predetermined algorithm;
• and
• d) determining the therapy is effective if the post-treatment multimarker index is lower than a predetermined reference value for the multimarker index for the two or more biomarkers and the predetermined algorithm is positive logic;
• or determining the therapy is effective if the multimarker index is higher than the predetermined reference value and the predetermined algorithm is negative logic.

A non-transitory computer readable medium having computer-executable instructions which, when executed, causes a processor to:

• a) access data attributed to a sample from a patient, the data comprising measurement of two or more biomarkers selected from the group consisting of HbA1c, CRP, IL-6, uric acid, and EPO;
• and
• b) execute a predetermined algorithm to produce a multimarker index of the two or more biomarkers;
• wherein the patient is diagnosed as having OSA if the multimarker index is higher than a predetermined reference value for that multimarker index and the predetermined algorithm is positive logic;
• or the patient is diagnosed as having OSA if the multimarker index is lower than the predetermined reference value and the predetermined algorithm is negative logic;
• wherein the predetermined algorithm is a combination of biomarkers, wherein the combination is Linear Model—Linear Value, Linear Model—Log Value, Non-linear Model—Linear Value, or Non-linear Model—Log Value combination;
• and
• wherein the biomarkers are selected such that the AUC of the method of using the combination of the two or more biomarkers in diagnosing OSA is at least 0.8.

A computer implemented method for diagnosing obstructive sleep apnea in a patient comprising:

• a) measuring the levels of two or more biomarkers in a sample from a patient, the biomarkers selected from the group consisting of HbA1c, CRP, IL-6, uric acid, and EPO;
• b) determining a multimarker index for the two or more biomarkers using a predetermined algorithm with one or more computer processors;
• c) comparing the multimarker index with a predetermined reference value for the multimarker index;
• and
• d) diagnosing the patient as having OSA if the multimarker index is higher than the predetermined reference value and the predetermined algorithm is positive logic;
• or
• diagnosing the patient as having OSA if the multimarker index is lower than the predetermined reference value and the predetermined algorithm is negative logic.