Santosh B Murthy1, Andrew P Levy2, Joshua Duckworth3, Eric B Schneider4, Hadar Shalom2, Daniel F Hanley3, Rafael J Tamargo5, Paul A Nyquist3. 1. Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. Electronic address: smurth13@jhmi.edu. 2. Department of Medicine, Technion Institute of Technology, Haifa, Israel. 3. Division of Neurosciences Critical Care, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 4. Center for Surgical Trials and Outcomes Research, Johns Hopkins University, Baltimore, Maryland, USA. 5. Department of Neurological Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Abstract
OBJECTIVE: To determine if the haptoglobin (Hp) phenotype, which has been shown to be a predictor of clinical outcomes in cerebrovascular disorders, particularly subarachnoid hemorrhage, was predictive of functional outcomes after spontaneous intracerebral hemorrhage (ICH). METHODS: Patients admitted with a diagnosis of ICH were prospectively included and divided into 3 groups based on their genetically determined Hp phenotype: 1-1, 2-1, and 2-2. Outcome measures included mortality and 30-day modified Rankin Scale scores. Demographics and outcomes were compared for each phenotype using multivariate linear regression analysis. RESULTS: The study included 94 patients. The distribution of Hp phenotype was Hp 1-1, 12 (13%); Hp 2-1, 46 (49%); and Hp 2-2, 36 (38%). The 3 Hp subgroups did not differ in terms of demographic variables, comorbidities, or ICH characteristics. There was a nonsignificant trend toward increased mortality in Hp 2-1 and Hp 2-2 compared with Hp 1-1, with mortality of 8% in Hp 1-1, 17% in Hp 2-1, and 25% in Hp 2-2 (P = 0.408). In the regression model adjusted for confounders, Hp 2-1 (odds ratio = 0.05, 95% confidence interval = 0.01-0.47, P < 0.001) and Hp 2-2 phenotypes (odds ratio = 0.14, 95% confidence interval = 0.02-0.86, P = 0.045) had significantly lower odds of modified Rankin Scale scores 0-2 compared with Hp 1-1. CONCLUSIONS: After ICH, individuals with the Hp-2 allele (2-1 and 2-2) had worse functional outcomes than individuals with the Hp-1 allele (Hp 1-1). There was a nonsignificant association between Hp phenotype and mortality. Larger prospective studies with better surrogates of ICH outcomes are warranted.
OBJECTIVE: To determine if the haptoglobin (Hp) phenotype, which has been shown to be a predictor of clinical outcomes in cerebrovascular disorders, particularly subarachnoid hemorrhage, was predictive of functional outcomes after spontaneous intracerebral hemorrhage (ICH). METHODS:Patients admitted with a diagnosis of ICH were prospectively included and divided into 3 groups based on their genetically determined Hp phenotype: 1-1, 2-1, and 2-2. Outcome measures included mortality and 30-day modified Rankin Scale scores. Demographics and outcomes were compared for each phenotype using multivariate linear regression analysis. RESULTS: The study included 94 patients. The distribution of Hp phenotype was Hp 1-1, 12 (13%); Hp 2-1, 46 (49%); and Hp 2-2, 36 (38%). The 3 Hp subgroups did not differ in terms of demographic variables, comorbidities, or ICH characteristics. There was a nonsignificant trend toward increased mortality in Hp 2-1 and Hp 2-2 compared with Hp 1-1, with mortality of 8% in Hp 1-1, 17% in Hp 2-1, and 25% in Hp 2-2 (P = 0.408). In the regression model adjusted for confounders, Hp 2-1 (odds ratio = 0.05, 95% confidence interval = 0.01-0.47, P < 0.001) and Hp 2-2 phenotypes (odds ratio = 0.14, 95% confidence interval = 0.02-0.86, P = 0.045) had significantly lower odds of modified Rankin Scale scores 0-2 compared with Hp 1-1. CONCLUSIONS: After ICH, individuals with the Hp-2 allele (2-1 and 2-2) had worse functional outcomes than individuals with the Hp-1 allele (Hp 1-1). There was a nonsignificant association between Hp phenotype and mortality. Larger prospective studies with better surrogates of ICH outcomes are warranted.
Authors: Isabel Charlotte Hostettler; Matthew J Morton; Gareth Ambler; Nabila Kazmi; Tom Gaunt; Duncan Wilson; Clare Shakeshaft; H R Jäger; Hannah Cohen; Tarek A Yousry; Rustam Al-Shahi Salman; Gregory Lip; Martin M Brown; Keith Muir; Henry Houlden; Diederik O Bulters; Ian Galea; David J Werring Journal: J Neurol Neurosurg Psychiatry Date: 2020-01-10 Impact factor: 10.154