Ram Sagar1, Amit Kumar2, Vivek Verma3, Arun Kumar Yadav4, Ritesh Raj5, Dimple Rawat6, Amarnath Yadav7, Achal Kumar Srivastava8, Awadh Kishor Pandit9, Subiah Vivekanandhan10, Arti Gulati11, Garima Gupta12, Kameshwar Prasad13. 1. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: mahisagar87@gmail.com. 2. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: amits52003@gmail.com. 3. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: viv_verma456@yahoo.com. 4. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: arunyadavpsm@gmail.com. 5. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: ritesh.lab@gmail.com. 6. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: rawat.dimple96@gmail.com. 7. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: amarnath.yadav551@gmail.com. 8. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: achalsrivastava@hotmail.com. 9. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: akpandit.med@gmail.com. 10. Department of Biochemistry, All India Institute of Medical Sciences, Rishikesh, India. Electronic address: svivek_aiims@yahoo.com. 11. Clinical Epidemiology Unit, All India Institute of Medical Sciences, New Delhi, India. Electronic address: gulatiarti@yahoo.co.uk. 12. Department of Biotechnology, Ministry of Science & Technology, New Delhi, India. Electronic address: garimahgupta@gmail.com. 13. Department of Neurology, Neurosciences Centre, All India Institute of Medical Sciences, Room No. 02, 6th Floor, Ansari Nagar, New Delhi, India. Electronic address: kp0704@gmail.com.
Abstract
BACKGROUND: Intracerebral hemorrhage (ICH) is associated with high mortality, morbidity, and recurrence. Studies have reported the accuracy of several blood biomarkers in predicting clinical outcomes; however, their independent contribution in prediction remains to be established. AIM: To investigate the incremental accuracy in predicting clinical outcomes in patients with ICH in a north Indian population using blood-based biomarkers. METHODS: In this study, a total of 250 ICH cases were recruited within 72 hours of onset. Baseline clinical and CT scan measurement were recorded. Homocysteine (HCY), C-reactive protein (CRP), matrix metalloproteinase-9 (MMP9), E-selectin (SELE), and P-selectin (SELP) levels were measured through ELISA. Telephonic follow-up was done by using mRS scale at three months. RESULTS: The mean age of cohort was 54.9 (SD±12.8) years with 64.8% patients being male. A total of 109 (43.6%) deaths were observed over three months follow-up. Area under the receiver operating characteristics curve-(AUROC) for 90-day mortality were 0.55 (HCY), 0.62 (CRP), 0.57 (MMP9), 0.60 (SELE) and 0.53 (SELP) and for poor outcome at 90-day (mRS: 3-6) were 0.60 (HCY), 0.62 (CRP), 0.54 (MMP9), 0.67 (SELE) and 0.54 (SELP). In multivariable model including age, ICH volume, IVH and GCS at admission, serum SELE (p=0.004) significant for poor outcome with improved AUROC (0.86) and HCY (p=0.04), CRP (p=0.003) & MMP9 (p=0.02) for mortality with least Akaike's Information Criterion-(AIC) (1060.5). CONCLUSIONS: Our findings suggest that the serum SELE is a significant predictor of poor outcome and HCY, CRP & MMP9 for Mortality in patients with ICH in the north Indian population.
BACKGROUND:Intracerebral hemorrhage (ICH) is associated with high mortality, morbidity, and recurrence. Studies have reported the accuracy of several blood biomarkers in predicting clinical outcomes; however, their independent contribution in prediction remains to be established. AIM: To investigate the incremental accuracy in predicting clinical outcomes in patients with ICH in a north Indian population using blood-based biomarkers. METHODS: In this study, a total of 250 ICH cases were recruited within 72 hours of onset. Baseline clinical and CT scan measurement were recorded. Homocysteine (HCY), C-reactive protein (CRP), matrix metalloproteinase-9 (MMP9), E-selectin (SELE), and P-selectin (SELP) levels were measured through ELISA. Telephonic follow-up was done by using mRS scale at three months. RESULTS: The mean age of cohort was 54.9 (SD±12.8) years with 64.8% patients being male. A total of 109 (43.6%) deaths were observed over three months follow-up. Area under the receiver operating characteristics curve-(AUROC) for 90-day mortality were 0.55 (HCY), 0.62 (CRP), 0.57 (MMP9), 0.60 (SELE) and 0.53 (SELP) and for poor outcome at 90-day (mRS: 3-6) were 0.60 (HCY), 0.62 (CRP), 0.54 (MMP9), 0.67 (SELE) and 0.54 (SELP). In multivariable model including age, ICH volume, IVH and GCS at admission, serum SELE (p=0.004) significant for poor outcome with improved AUROC (0.86) and HCY (p=0.04), CRP (p=0.003) & MMP9 (p=0.02) for mortality with least Akaike's Information Criterion-(AIC) (1060.5). CONCLUSIONS: Our findings suggest that the serum SELE is a significant predictor of poor outcome and HCY, CRP & MMP9 for Mortality in patients with ICH in the north Indian population.