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Using Extraordinary Optical Transmission to Quantify Cardiac Biomarkers in Human Serum
Published on: December 13, 2017
The Association Between Novel Biomarkers and 1-Year Readmission or Mortality After Cardiac Surgery
Jeffrey P Jacobs1, Shama S Alam2, Sherry L Owens2
1Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiovascular Surgery, Department of Surgery, Johns Hopkins All Children's Heart Institute, Johns Hopkins All Children's Hospital and Florida Hospital for Children, St. Petersburg, Tampa, and Orlando, Florida.
Insights
Novel cardiac biomarkers like galectin-3 and NT-proBNP predict long-term adverse outcomes after heart surgery. Elevated levels are linked to increased 1-year readmission or mortality risk.
Area of Science:
- Cardiology
- Biomarker Research
- Postoperative Care
Background:
- Novel cardiac biomarkers, including soluble suppression of tumorigenicity 2, galectin-3, and N-terminal prohormone of brain natriuretic peptide, may predict long-term adverse outcomes post-cardiac surgery.
- Assessing these biomarkers' association with 1-year hospital readmission or mortality is crucial for improving patient management.
Purpose of the Study:
- To evaluate the association between preoperative and postoperative cardiac biomarker levels and 1-year hospital readmission or mortality after coronary artery bypass graft surgery.
- To determine if novel biomarkers can identify patients at higher risk for adverse outcomes independent of established risk factors.
Main Methods:
- A cohort of 1,047 patients undergoing isolated coronary artery bypass graft surgery was analyzed.
- Plasma levels of galectin-3 and N-terminal prohormone of brain natriuretic peptide were measured.
- Kaplan-Meier estimates and Cox proportional hazards modeling were used to assess the association with 1-year readmission or mortality, adjusting for covariates.
Main Results:
- Above-median levels of postoperative galectin-3 (HR 1.40) and N-terminal prohormone of brain natriuretic peptide (HR 1.42) were significantly associated with 1-year readmission or mortality.
- These associations remained significant after adjusting for established risk factors.
- The median follow-up was 365 days.
Conclusions:
- Novel cardiac biomarkers are associated with 1-year readmission or mortality after cardiac surgery, independent of established risk factors.
- Measuring these biomarkers pre-discharge can enhance risk stratification and guide personalized medicine strategies.
- This may allow for better resource allocation and targeted interventions for high-risk patients.
Background:
Novel cardiac biomarkers including soluble suppression of tumorigenicity 2, galectin-3, and the N-terminal prohormone of brain natriuretic peptide may be associated with long-term adverse outcomes after cardiac surgery. We sought to measure the association between cardiac biomarker levels and 1-year hospital readmission or mortality.
Methods:
Plasma biomarkers from 1,047 patients discharged alive after isolated coronary artery bypass graft surgery from 8 medical centers were measured in a cohort from the Northern New England Cardiovascular Disease Study Group between 2004 and 2007. We evaluated the association between preoperative and postoperative biomarkers and 1-year readmission or mortality using Kaplan-Meier estimates and Cox proportional hazards modeling, adjusting for covariates used in The Society of Thoracic Surgeons 30-day readmission model.
Results:
The median follow-up time was 365 days. After adjustment for established risk factors, above-median levels of postoperative galectin-3 (median 10.35 ng/mL; hazard ratio, 1.40; 95% confidence interval, 1.08 to 1.80; p = 0.010) and N-terminal prohormone of brain natriuretic peptide (median = 15.21 ng/mL, hazard ratio, 1.42; 95% confidence interval, 1.07 to 1.87; p = 0.014) were each significantly associated with 1-year readmission or mortality.
Conclusions:
In patients undergoing cardiac surgery, novel cardiac biomarkers were associated with readmission or mortality independent of established risk factors. Measurement of these biomarkers may improve our ability to identify patients at highest risk for readmission or mortality before discharge. This will also allow resource allocation accordingly, while implementing strategies for personalized medicine based on the biomarker profile of the patient.
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