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Pollock AE, Risher H, Berger M, Roque DM, Rao G, Nichols EM, Mohindra P. Clinical Outcomes of Intensity Modulated Proton Therapy (IMPT) Re-Irradiation for Gynecologic Malignancies. Adv Radiat Oncol 2023; 8:101191. [DOI: 10.1016/j.adro.2023.101191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/27/2023] [Indexed: 03/04/2023] Open
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Pollock A, Risher H, Bentzen S, Roque D, Rao G, Nichols E, Mohindra P. Clinical Outcomes of Patients Treated With Intensity Modulated Proton Therapy (IMPT) Re-Irradiation for Gynecologic Malignancies. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Lambe J, Risher H, Filippatou AG, Murphy OC, Sotirchos ES, Ehrhardt H, Ogbuokiri E, Pellegrini N, Toliver B, Luciano NJ, Davis S, Fioravante N, Kwakyi O, Prince JL, Calabresi PA, Fitzgerald KC, Saidha S. Modulation of Retinal Atrophy With Rituximab in Multiple Sclerosis. Neurology 2021; 96:e2525-e2533. [PMID: 33827962 DOI: 10.1212/wnl.0000000000011933] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 02/24/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the effects of rituximab on retinal atrophy in patients with relapsing-remitting multiple sclerosis (RRMS), we performed serial optical coherence tomography (OCT) scans among a cohort of patients with RRMS on rituximab and compared rates of ganglion cell + inner plexiform layer (GCIPL) atrophy to those observed among age- and sex-matched glatiramer acetate (GA)-and natalizumab-treated patients with RRMS and healthy controls (HCs). METHODS In this observational study, patients with RRMS treated with a single disease-modifying therapy and HCs were followed with serial OCT for a median duration of 2.8 years. Participants with uncontrolled hypertension, diabetes mellitus, or glaucoma, and eyes with optic neuritis ≤6 months prior to baseline OCT, or during follow-up, were excluded. Statistical analyses were performed using linear mixed-effects regression. RESULTS During the overall follow-up period, rates of GCIPL atrophy were -0.28 ± 0.11 µm/y among rituximab-treated patients with RRMS (n = 35). This was similar to GA-treated (n = 49; -0.33 ± 0.05 µm/y; p = 0.69) and natalizumab-treated patients (n = 88; -0.17 ± 0.10 µm/y; p = 0.13) and faster than HCs (n = 78; -0.15 ± 0.03 µm/y; p = 0.006). Rituximab-treated patients exhibited 0.55 ± 0.23 µm/y faster rates of GCIPL atrophy during the first 12 months of treatment, relative to afterwards (n = 25; p = 0.02), during which period GCIPL atrophy rates were -0.14 ± 0.13 µm/y. CONCLUSIONS Retinal atrophy in RRMS is modulated by rituximab. Greater attenuation of retinal atrophy may occur after 12 months of rituximab treatment, following which time GCIPL atrophy rates are similar to those observed among natalizumab-treated patients with RRMS and HCs. Our findings raise the possibility that the neuroprotective therapeutic response with rituximab in RRMS may take up to 12 months, which should be confirmed by larger studies. CLASSIFICATION OF EVIDENCE This study provides Class IV evidence on the difference in rate of change of the GCIPL thickness in patients with RRMS comparing rituximab to other disease-modifying therapies.
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Affiliation(s)
- Jeffrey Lambe
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Hunter Risher
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Angeliki G Filippatou
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Olwen C Murphy
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Elias S Sotirchos
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Henrik Ehrhardt
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Esther Ogbuokiri
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicole Pellegrini
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Brandon Toliver
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas J Luciano
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Simidele Davis
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas Fioravante
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Ohemaa Kwakyi
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Jerry L Prince
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Peter A Calabresi
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Kathryn C Fitzgerald
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD.
| | - Shiv Saidha
- From the Department of Neurology (J.L., H.R., A.G.F., O.C.M., E.S.S., H.E., E.O., N.P., B.T., N.J.L., S.D., N.F., O.K., P.A.C., K.C.F., S.S.), Johns Hopkins University School of Medicine; and Department of Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD.
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Lambe J, Fitzgerald KC, Murphy OC, Filippatou AG, Sotirchos ES, Kalaitzidis G, Vasileiou E, Pellegrini N, Ogbuokiri E, Toliver B, Luciano NJ, Davis S, Fioravante N, Kwakyi O, Risher H, Crainiceanu CM, Prince JL, Newsome SD, Mowry EM, Saidha S, Calabresi PA. Association of Spectral-Domain OCT With Long-term Disability Worsening in Multiple Sclerosis. Neurology 2021; 96:e2058-e2069. [PMID: 33653904 DOI: 10.1212/wnl.0000000000011788] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2020] [Accepted: 01/19/2021] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To evaluate whether a retinal spectral-domain optical coherence tomography (SD-OCT) assessment at baseline is associated with long-term disability worsening in people with multiple sclerosis (PwMS), we performed SD-OCT and Expanded Disability Status Scale (EDSS) assessments among 132 PwMS at baseline and at a median of 10 years later. METHODS In this prospective, longitudinal study, participants underwent SD-OCT, EDSS, and visual acuity (VA) assessments at baseline and at follow-up. Statistical analyses were performed using generalized linear regression models, adjusted for age, sex, race, multiple sclerosis (MS) subtype, and baseline disability. We defined clinically meaningful EDSS worsening as an increase of ≥2.0 if baseline EDSS score was <6.0 or an increase of ≥1.0 if baseline EDSS score was ≥6.0. RESULTS A total of 132 PwMS (mean age 43 years; 106 patients with relapsing-remitting MS) were included in analyses. Median duration of follow-up was 10.4 years. In multivariable models excluding eyes with prior optic neuritis, relative to patients with an average baseline ganglion cell + inner plexiform layer (GCIPL) thickness ≥70 µm (the mean GCIPL thickness of all eyes at baseline), an average baseline GCIPL thickness <70 µm was associated with a 4-fold increased odds of meaningful EDSS worsening (adjusted odds ratio [OR] 3.97, 95% confidence interval [CI] 1.24-12.70; p = 0.02) and an almost 3-fold increased odds of low-contrast VA worsening (adjusted OR 2.93, 95% CI 1.40-6.13; p = 0.04). CONCLUSIONS Lower baseline GCIPL thickness on SD-OCT is independently associated with long-term disability worsening in MS. Accordingly, SD-OCT at a single time point may help guide therapeutic decision-making among individual PwMS. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that lower baseline GCIPL thickness on SD-OCT is independently associated with long-term disability worsening in MS.
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Affiliation(s)
- Jeffrey Lambe
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Kathryn C Fitzgerald
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Olwen C Murphy
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Angeliki G Filippatou
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Elias S Sotirchos
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Grigorios Kalaitzidis
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Elena Vasileiou
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicole Pellegrini
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Esther Ogbuokiri
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Brandon Toliver
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas J Luciano
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Simidele Davis
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Nicholas Fioravante
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Ohemaa Kwakyi
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Hunter Risher
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Ciprian M Crainiceanu
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Jerry L Prince
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Scott D Newsome
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Ellen M Mowry
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Shiv Saidha
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD
| | - Peter A Calabresi
- From the Department of Neurology (J.L., K.C.F., O.C.M., A.G.F., E.S.S., G.K., E.V., N.P., E.O., B.T., N.J.L., S.D., N.F., O.K., H.R., S.D.N., E.M.M., S.S., P.A.C.), Johns Hopkins University School of Medicine; and Departments of Biostatistics (C.M.C.) and Electrical and Computer Engineering (J.L.P.), Johns Hopkins University, Baltimore, MD.
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Murphy OC, Kwakyi O, Iftikhar M, Zafar S, Lambe J, Pellegrini N, Sotirchos ES, Gonzalez-Caldito N, Ogbuokiri E, Filippatou A, Risher H, Cowley N, Feldman S, Fioravante N, Frohman EM, Frohman TC, Balcer LJ, Prince JL, Channa R, Calabresi PA, Saidha S. Alterations in the retinal vasculature occur in multiple sclerosis and exhibit novel correlations with disability and visual function measures. Mult Scler 2020; 26:815-828. [PMID: 31094280 PMCID: PMC6858526 DOI: 10.1177/1352458519845116] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND The retinal vasculature may be altered in multiple sclerosis (MS), potentially acting as a biomarker of disease processes. OBJECTIVE To compare retinal vascular plexus densities in people with MS (PwMS) and healthy controls (HCs), and examine correlations with visual function and global disability. METHODS In this cross-sectional study, 111 PwMS (201 eyes) and 50 HCs (97 eyes) underwent optical coherence tomography angiography (OCTA). Macular superficial vascular plexus (SVP) and deep vascular plexus (DVP) densities were quantified, and poor quality images were excluded according to an artifact-rating protocol. RESULTS Mean SVP density was 24.1% (SD = 5.5) in MS eyes (26.0% (SD = 4.7) in non-optic neuritis (ON) eyes vs. 21.7% (SD = 5.5) in ON eyes, p < 0.001), as compared to 29.2% (SD = 3.3) in HC eyes (p < 0.001 for all MS eyes and multiple sclerosis optic neuritis (MSON) eyes vs. HC eyes, p = 0.03 for MS non-ON eyes vs. HC eyes). DVP density did not differ between groups. In PwMS, lower SVP density was associated with higher levels of disability (expanded disability status scale (EDSS): R2 = 0.26, p = 0.004; multiple sclerosis functional composite (MSFC): R2 = 0.27, p = 0.03) and lower letter acuity scores (100% contrast: R2 = 0.29; 2.5% contrast: R2 = 0.40; 1.25% contrast: R2 = 0.31; p < 0.001 for all). CONCLUSIONS Retinal SVP density measured by OCTA is reduced across MS eyes, and correlates with visual function, EDSS, and MSFC scores.
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Affiliation(s)
- Olwen C. Murphy
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Ohemaa Kwakyi
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Mustafa Iftikhar
- Wilmer Eye Institute, Johns Hopkins University School of
Medicine, Baltimore, MD, United States
| | - Sidra Zafar
- Wilmer Eye Institute, Johns Hopkins University School of
Medicine, Baltimore, MD, United States
| | - Jeffrey Lambe
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Nicole Pellegrini
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Elias S. Sotirchos
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Natalia Gonzalez-Caldito
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Esther Ogbuokiri
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Angeliki Filippatou
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Hunter Risher
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Norah Cowley
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Sydney Feldman
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Nicholas Fioravante
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Elliot M. Frohman
- Department of Neurology and Ophthalmology, University of
Texas Austin Dell Medical School, Austin, TX, United States
| | - Teresa C. Frohman
- Department of Neurology and Ophthalmology, University of
Texas Austin Dell Medical School, Austin, TX, United States
| | - Laura J. Balcer
- Department of Neurology, New York University Langone
Medical Center, New York, NY, United States
| | - Jerry L. Prince
- Department of Electrical and Computer Engineering, Johns
Hopkins University, Baltimore, MD, United States
| | - Roomasa Channa
- Wilmer Eye Institute, Johns Hopkins University School of
Medicine, Baltimore, MD, United States
- Department of Ophthalmology, Baylor College of Medicine,
Houston, TX, United States
| | - Peter A. Calabresi
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Shiv Saidha
- Division of Neuroimmunology and Neurological Infections,
Department of Neurology, Johns Hopkins Hospital, Baltimore, MD, United States
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6
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Filippatou AG, Lambe J, Sotirchos ES, Fitzgerald KC, Aston A, Murphy OC, Pellegrini N, Fioravante N, Risher H, Ogbuokiri E, Kwakyi O, Toliver B, Davis S, Luciano N, Crainiceanu C, Prince JL, Mowry EM, Calabresi PA, Saidha S. Association of body mass index with longitudinal rates of retinal atrophy in multiple sclerosis. Mult Scler 2020; 26:843-854. [PMID: 32297826 DOI: 10.1177/1352458519900942] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Studies evaluating associations between body mass index (BMI) and optical coherence tomography (OCT) measures in multiple sclerosis (MS) are lacking. OBJECTIVE To assess whether elevated BMI is associated with accelerated retinal atrophy. METHODS In this observational study, 513 MS patients were followed with serial spectral-domain OCT for a median of 4.4 years. Participants were categorized as normal weight (BMI: 18.5-24.9 kg/m2), overweight (BMI: 25-29.9 kg/m2), and obese (BMI: ⩾30 kg/m2). Participants with diabetes mellitus or uncontrolled hypertension and eyes with optic neuritis (ON) ⩽6 months prior to baseline OCT or during follow-up were excluded. Statistical analyses were performed with mixed-effects linear regression. RESULTS Obese patients (n = 146) exhibited accelerated rates of ganglion cell + inner plexiform layer (GCIPL) atrophy relative to normal weight patients (n = 214; -0.57%/year (95% confidence interval (CI): -0.65% to -0.48%) versus -0.42%/year (95% CI: -0.49% to -0.35%); p = 0.012). GCIPL atrophy rate did not differ between overweight (n = 153) and normal weight patients (-0.47%/year vs -0.42%/year; p = 0.41). Each 1 kg/m2 higher BMI was associated with accelerated GCIPL (-0.011%/year; 95% CI: -0.019% to -0.004%; p = 0.003) atrophy. Multivariable analyses accounting for age, sex, race, MS subtype, and ON history did not alter the above findings. CONCLUSIONS Elevated BMI, in the absence of overt metabolic comorbidities, may be associated with accelerated GCIPL atrophy. Obesity, a modifiable risk factor, may be associated with accelerated neurodegeneration in MS.
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Affiliation(s)
- Angeliki G Filippatou
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeffrey Lambe
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elias S Sotirchos
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathryn C Fitzgerald
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew Aston
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olwen C Murphy
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicole Pellegrini
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Fioravante
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hunter Risher
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Esther Ogbuokiri
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ohemaa Kwakyi
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brandon Toliver
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Simidele Davis
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Luciano
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Jerry L Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Ellen M Mowry
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shiv Saidha
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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7
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Sotirchos ES, Gonzalez-Caldito N, Dewey BE, Fitzgerald KC, Glaister J, Filippatou A, Ogbuokiri E, Feldman S, Kwakyi O, Risher H, Crainiceanu C, Pham DL, Van Zijl PC, Mowry EM, Reich DS, Prince JL, Calabresi PA, Saidha S. Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis. Mult Scler 2019; 26:312-321. [PMID: 30741108 DOI: 10.1177/1352458519826364] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The effects of disease-modifying therapies (DMTs) on region-specific brain atrophy in multiple sclerosis (MS) are unclear. OBJECTIVE To determine the effects of higher versus lower efficacy DMTs on rates of brain substructure atrophy in MS. METHODS A non-randomized, observational cohort of people with MS followed with annual brain magnetic resonance imaging (MRI) was evaluated retrospectively. Whole brain, subcortical gray matter (GM), cortical GM, and cerebral white matter (WM) volume fractions were obtained. DMTs were categorized as higher (DMT-H: natalizumab and rituximab) or lower (DMT-L: interferon-beta and glatiramer acetate) efficacy. Follow-up epochs were analyzed if participants had been on a DMT for ⩾6 months prior to baseline and had at least one follow-up MRI while on DMTs in the same category. RESULTS A total of 86 DMT epochs (DMT-H: n = 32; DMT-L: n = 54) from 78 participants fulfilled the study inclusion criteria. Mean follow-up was 2.4 years. Annualized rates of thalamic (-0.15% vs -0.81%; p = 0.001) and putaminal (-0.27% vs -0.73%; p = 0.001) atrophy were slower during DMT-H compared to DMT-L epochs. These results remained significant in multivariate analyses including demographics, clinical characteristics, and T2 lesion volume. CONCLUSION DMT-H treatment may be associated with slower rates of subcortical GM atrophy, especially of the thalamus and putamen. Thalamic and putaminal volumes are promising imaging biomarkers in MS.
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Affiliation(s)
- Elias S Sotirchos
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Blake E Dewey
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeffrey Glaister
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Angeliki Filippatou
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Esther Ogbuokiri
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sydney Feldman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ohemaa Kwakyi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hunter Risher
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Dzung L Pham
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.,Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Peter C Van Zijl
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Reich
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.,Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Jerry L Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shiv Saidha
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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8
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Caldito NG, Saidha S, Sotirchos ES, Dewey BE, Cowley NJ, Glaister J, Fitzgerald KC, Al-Louzi O, Nguyen J, Rothman A, Ogbuokiri E, Fioravante N, Feldman S, Kwakyi O, Risher H, Kimbrough D, Frohman TC, Frohman E, Balcer L, Crainiceanu C, Van Zijl PCM, Mowry EM, Reich DS, Oh J, Pham DL, Prince J, Calabresi PA. Brain and retinal atrophy in African-Americans versus Caucasian-Americans with multiple sclerosis: a longitudinal study. Brain 2018; 141:3115-3129. [PMID: 30312381 PMCID: PMC6202573 DOI: 10.1093/brain/awy245] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 06/03/2018] [Accepted: 08/09/2018] [Indexed: 01/09/2023] Open
Abstract
On average, African Americans with multiple sclerosis demonstrate higher inflammatory disease activity, faster disability accumulation, greater visual dysfunction, more pronounced brain tissue damage and higher lesion volume loads compared to Caucasian Americans with multiple sclerosis. Neurodegeneration is an important component of multiple sclerosis, which in part accounts for the clinical heterogeneity of the disease. Brain atrophy appears to be widespread, although it is becoming increasingly recognized that regional substructure atrophy may be of greater clinical relevance. Patient race (within the limitations of self-identified ancestry) is regarded as an important contributing factor. However, there is a paucity of studies examining differences in neurodegeneration and brain substructure volumes over time in African Americans relative to Caucasian American patients. Optical coherence tomography is a non-invasive and reliable tool for measuring structural retinal changes. Recent studies support its utility for tracking neurodegeneration and disease progression in vivo in multiple sclerosis. Relative to Caucasian Americans, African American patients have been found to have greater retinal structural injury in the inner retinal layers. Increased thickness of the inner nuclear layer and the presence of microcystoid macular pathology at baseline predict clinical and radiological inflammatory activity, although whether race plays a role in these changes has not been investigated. Similarly, assessment of outer retinal changes according to race in multiple sclerosis remains incompletely characterized. Twenty-two African Americans and 60 matched Caucasian Americans with multiple sclerosis were evaluated with brain MRI, and 116 African Americans and 116 matched Caucasian Americans with multiple sclerosis were monitored with optical coherence tomography over a mean duration of 4.5 years. Mixed-effects linear regression models were used in statistical analyses. Grey matter (-0.9%/year versus -0.5%: P =0.02), white matter (-0.7%/year versus -0.3%: P =0.04) and nuclear thalamic (-1.5%/year versus -0.7%/year: P =0.02) atrophy rates were approximately twice as fast in African Americans. African Americans also exhibited higher proportions of microcystoid macular pathology (12.1% versus 0.9%, P =0.001). Retinal nerve fibre layer (-1.1% versus -0.8%: P =0.02) and ganglion cell+ inner plexiform layer (-0.7%/year versus -0.4%/year: P =0.01) atrophy rates were faster in African versus Caucasian Americans. African Americans on average exhibited more rapid neurodegeneration than Caucasian Americans and had significantly faster brain and retinal tissue loss. These results corroborate the more rapid clinical progression reported to occur, in general, in African Americans with multiple sclerosis and support the need for future studies involving African Americans in order to identify individual differences in treatment responses in multiple sclerosis.
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Affiliation(s)
| | - Shiv Saidha
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elias S Sotirchos
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Blake E Dewey
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Norah J Cowley
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeffrey Glaister
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Omar Al-Louzi
- Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James Nguyen
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alissa Rothman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Esther Ogbuokiri
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Fioravante
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sydney Feldman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ohemaa Kwakyi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hunter Risher
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dorlan Kimbrough
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Teresa C Frohman
- Department of Neurology, University of Texas Austin Dell Medical School, Austin TX, USA
| | - Elliot Frohman
- Department of Neurology, University of Texas Austin Dell Medical School, Austin TX, USA
| | - Laura Balcer
- Department of Neurology, New York University Langone Medical Center, New York, NY, USA
| | | | - Peter C M Van Zijl
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Reich
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins University, Baltimore MD, USA
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Rockville, MD, USA
| | - Jiwon Oh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Neurology, St. Michael’s Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada
| | - Dzung L Pham
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
- Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Jerry Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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9
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Risher H. Job evaluation: mystical or statistical? Personnel 1978; 55:23-36. [PMID: 10239494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
People can't be completely objective in assessing how much any job is worth--employees, managers, and salary administrators all bring their own biases to job evaluation. And the two most widely used systems--market pricing and conventional evaluation plans--are fraught with weaknesses. Howard Risher breaks through the subjectivity barrier with a new approach that overcomes many of the problems in matching salary to position: multiple regression analysis. An analytical technique that enables managers to integrate internal and external factors in compensation decisions, regression analysis describes "what is", and not "what should be", with regard to compensation levels. (However, "if management disagrees with the values expressed, the equation can be readily modified to a 'what should be' statement"). The use of multiple regression analysis in assessing job worth is explained in down-to-earth, recognizable terms, and Risher shows salary administrators how to reduce costs, time, and headaches with this factually based evaluation system.
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