2024
Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms
Misra S, Kawamura Y, Singh P, Sengupta S, Nath M, Rahman Z, Kumar P, Kumar A, Aggarwal P, Srivastava A, Pandit A, Mohania D, Prasad K, Mishra N, Vibha D. Prognostic biomarkers of intracerebral hemorrhage identified using targeted proteomics and machine learning algorithms. PLOS ONE 2024, 19: e0296616. PMID: 38829877, PMCID: PMC11146689, DOI: 10.1371/journal.pone.0296616.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhagePoor outcomePrognostic biomarker of ICHBiomarker of intracerebral hemorrhageHazard ratioOdds ratioShort-term poor outcomePrognostic of patient outcomeMMP-2Multivariate Cox regression modelICH prognosisInternal validation of prediction modelsModified Rankin Scale scoreIntracerebral hemorrhage patientsRankin Scale scoreUCH-L1Confidence intervalsCox regression modelsMultivariate logistic regressionProtein biomarkersIGFBP-3Regression modelsPrognostic outcomesSerum biomarkersClinical variables
2016
A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard
Cereda CW, Christensen S, Campbell B, Mishra NK, Mlynash M, Levi C, Straka M, Wintermark M, Bammer R, Albers GW, Parsons MW, Lansberg MG. A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard. Cerebrovascular And Brain Metabolism Reviews 2016, 36: 1780-1789. PMID: 26661203, PMCID: PMC5076783, DOI: 10.1177/0271678x15610586.Peer-Reviewed Original Research