Application of hyperglycemia/diabetes-derived polygenic risk scores on the risk of poor outcomes after an ischemic stroke. Issue 1 (6th January 2022)
- Record Type:
- Journal Article
- Title:
- Application of hyperglycemia/diabetes-derived polygenic risk scores on the risk of poor outcomes after an ischemic stroke. Issue 1 (6th January 2022)
- Main Title:
- Application of hyperglycemia/diabetes-derived polygenic risk scores on the risk of poor outcomes after an ischemic stroke
- Authors:
- Chen, Yu-Lun
Chi, Nai-Fang
Chiou, Hung-Yi
Hu, Chaur-Jong
Jeng, Jiann-Shing
Tang, Sung-Chun
Lin, Huey-Juan
Hsieh, Yi-Chen - Abstract:
- Abstract : Background: Unfavorable prognoses are often accompanied for hyperglycemic stroke patients. This study aimed to construct a hyperglycemia/diabetes-derived polygenic risk score (PRS) to improve the predictive performance for poor outcome risks after a stroke and to evaluate its potential clinical application. Methods: A hospital-based cohort study was conducted including 1320 first-ever acute ischemic stroke (AIS) patients and 1210 patients who completed the follow-up at 3 months. PRSs were calculated for hyperglycemia/diabetes mellitus using results from genome-wide association studies in Asians. An unfavorable functional outcome was defined as a modified Rankin Scale score of ≥3 at 3, 6, and 12 months of follow-up. The prediction of a poor prognosis was evaluated using measures of model discrimination, calibration, and net reclassification improvement (NRI). Results: The second to fourth PRS quartiles (≥Q2) were significantly associated with higher risks of unfavorable outcomes at 3 months compared with the first quartile as the reference group after adjusting for age, baseline stroke severity, hypertension, diabetes, dyslipidemia, smoking, heart disease, and ischemic stroke subtype ( p for trend <0.0001). The addition of the PRS to traditional risk predictors of poor outcomes after an AIS significantly improved the model fit (likelihood ratio test p < 0.0001) and enhanced measures of reclassification (NRI, 0.245; 95% confidence interval [CI], 0.195-0.596). TheAbstract : Background: Unfavorable prognoses are often accompanied for hyperglycemic stroke patients. This study aimed to construct a hyperglycemia/diabetes-derived polygenic risk score (PRS) to improve the predictive performance for poor outcome risks after a stroke and to evaluate its potential clinical application. Methods: A hospital-based cohort study was conducted including 1320 first-ever acute ischemic stroke (AIS) patients and 1210 patients who completed the follow-up at 3 months. PRSs were calculated for hyperglycemia/diabetes mellitus using results from genome-wide association studies in Asians. An unfavorable functional outcome was defined as a modified Rankin Scale score of ≥3 at 3, 6, and 12 months of follow-up. The prediction of a poor prognosis was evaluated using measures of model discrimination, calibration, and net reclassification improvement (NRI). Results: The second to fourth PRS quartiles (≥Q2) were significantly associated with higher risks of unfavorable outcomes at 3 months compared with the first quartile as the reference group after adjusting for age, baseline stroke severity, hypertension, diabetes, dyslipidemia, smoking, heart disease, and ischemic stroke subtype ( p for trend <0.0001). The addition of the PRS to traditional risk predictors of poor outcomes after an AIS significantly improved the model fit (likelihood ratio test p < 0.0001) and enhanced measures of reclassification (NRI, 0.245; 95% confidence interval [CI], 0.195-0.596). The corrected C-index for the PRS combining traditional risk factors at 3 months after a stroke was 0.899 (95% CI, 0.878-0.980). Among hyperglycemic AIS patients, those who did not take an antidiabetic drug and whose PRS was ≥Q2 had higher risks of an unfavorable outcome at 3 months compared with patients who took the medicine. Conclusion: The hyperglycemia/diabetes-derived PRS was associated with poor outcomes after an AIS, but further studies are needed to validate its use for clinical applications. … (more)
- Is Part Of:
- Journal of the Chinese Medical Association. Volume 85:Issue 1(2022)
- Journal:
- Journal of the Chinese Medical Association
- Issue:
- Volume 85:Issue 1(2022)
- Issue Display:
- Volume 85, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 85
- Issue:
- 1
- Issue Sort Value:
- 2022-0085-0001-0000
- Page Start:
- 81
- Page End:
- 87
- Publication Date:
- 2022-01-06
- Subjects:
- Diabetes mellitus -- Functional outcome -- Hyperglycemia -- Ischemic stroke -- Polygenic risk score
Medicine -- Periodicals
610.5 - Journal URLs:
- https://journals.lww.com/jcma/pages/default.aspx ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1097/JCMA.0000000000000666 ↗
- Languages:
- English
- ISSNs:
- 1726-4901
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4729.330050
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