Susan M. Rubin, M.D.

Susan M. Rubin, M.D.

Susan M. Rubin, M.D.

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Personal Bio

Treatment Philosophy

My treatment philosophy is to focus on the patient's treatment needs even while still exploring the cause of their symptoms.

Personal Interests

My personal interest focuses on learning more about women’s health issues as they relate to neurologic disease and the impact of hormones on neurologic disease.

Conditions & Procedures

Conditions

Auras, Cervicogenic Headaches, Cluster Headache, Complicated Migraines, Demylinating Disease, Devic Disease, Epilepsy/Seizure Disorder, General Neurology, Head Pain, Headache, Infantile Spasms, Migraine Headaches, Multiple Sclerosis (MS), Ocular Migraines, Optic Neuritis, Seizures, Transverse Myelitis, Visual Auras, Women's Health

General Information

Gender

Female

Affiliation

NorthShore Medical Group

Expertise

Multiple Sclerosis, Women's Neurological Issues, Headache Specialist

Academic Rank

Clinical Assistant Professor

Languages

English

Board Certified

Neurology

Clinical Service

Education, Training & Fellowships

Medical School

University of Illinois at Rockford, 1988

Internship

Lutheran General Hospital, 1989

Residency

Northwestern Feinberg School of Medicine, 1992

Fellowship

Northwestern Feinberg School of Medicine, 1994

Locations

A

NorthShore Medical Group

2180 Pfingsten Rd.
Suite 2000
Glenview, IL 60026
847.570.2570 847.657.5708 fax This location is wheelchair accessible.

Insurance

Commercial Plans
  • Aetna Choice POS (Open Access) and POS II (Open Access)
  • Aetna Elect Choice EPO and EPO Open Access
  • Aetna Health Network Options
  • Aetna HMO (including Open Access)
  • Aetna Managed Choice (Open Access)
  • Aetna Managed Choice POS
  • Aetna Open Access Aetna Select (Aetna HealthFund)
  • Aetna Open Access Elect Choice EPO (Aetna HealthFund)
  • Aetna Open Access Managed Choice POS (Aetna HealthFund)
  • Aetna Open Choice PPO
  • Aetna Open Choice PPO (Aetna HealthFund)
  • Aetna Premier Care Network
  • Aetna QPOS
  • Aetna Select
  • Aetna Select (Open Access)
  • Beechstreet PPO Network
  • Blue Cross Blue Shield - PPO Products
    Not Contracted Blue Cross Blue Shield Blue Choice PPO
  • Blue Cross Blue Shield Blue Advantage
    Verify PCP Participation
  • Blue Cross Blue Shield HMOI
  • Cigna HMO
  • Cigna LocalPlus
  • Cigna Open Access Plus (OAP)
  • Cigna Open Access Plus with CareLink (OAPC)
  • Cigna POS
  • Cigna PPO
  • Cofinity PPO (an Aetna Company)
  • Coventry Health Care Elect Choice EPO
  • Coventry Health Care First Health PPO
  • Galaxy Health PPO Network
  • Great West PPO/POS
  • Healthcare's Finest Network (HFN)
  • Humana - All Commercial Plans (including Choice Care)
  • Humana - NorthShore Complete Care
  • Humana/ChoiceCare Network PPO
  • Medicare
  • Multiplan and PHCS PPO Network (Including PHCS Savility)
  • NorthShore Employee Network I (EPO)
  • NorthShore Employee Network II (EPO Plus & CDHP)
  • Preferred Plan PPO
  • Three Rivers Provider PPO Network (TRPN)
  • Tricare
  • Unicare
  • United Healthcare - All Commercial Plans
    Not Contracted United Healthcare Core
    Not Contracted United Healthcare Navigate
Exchange Plans
  • Not Contracted Aetna
  • Blue Cross Blue Shield - PPO Products
    Not Contracted Blue Cross Blue Shield Blue Choice PPO
  • Blue Cross Blue Shield Blue Precision
    Verify PCP Participation
  • Not Contracted Coventry
  • Humana National
  • Land of Lincoln - All Products
  • Not Contracted United Healthcare Compass
Medicaid
  • Illinois Department of Public Aid (IDPA)
  • Illinicare ICP
  • Community Care Partners
Medicare Advantage Plans
  • Aetna Medicare (SM) Plan (HMO/Open Access HMO)
  • Aetna Medicare (SM) Plan (PPO)
  • Blue Cross Blue Shield Medicare Advantage PPO Plan
    Effective 1/1/2015
  • Cigna-HealthSpring Advantage HMO
  • Cigna-HealthSpring Premier HMO-POS
  • Cigna-HealthSpring Primary HMO
  • Humana Gold Plus HMO
  • Humana Gold Plus PFFS
  • HumanaChoice PPO
  • United Healthcare - All Medicare Plans
Medicare Medicaid Alignment Initiative (MMAI) Plans
  • Blue Cross Blue Shield Community
  • HealthSpring
  • Humana
  • Illinicare Health Plan
  • Meridian Complete

Publications

  • Older adults with limited literacy are at increased risk for likely dementia.

    The journals of gerontology. Series A, Biological sciences and medical sciences 2014 Jul

    Authors: Kaup AR,
    Abstract
    Low literacy is common among the elderly and possibly more reflective of educational attainment than years of school completed. We examined the association between literacy and risk of likely dementia in older adults.
    Participants were 2,458 black and white elders (aged 71-82) from the Health, Aging and Body Composition study, who completed the Rapid Estimate of Adult Literacy in Medicine and were followed for 8 years. Participants were free of dementia at baseline; incidence of likely dementia was defined by hospital records, prescription for dementia medication, or decline in Modified Mini-Mental State Examination score. We conducted Cox proportional hazard models to evaluate the association between literacy and incidence of likely dementia. Demographics, education, income, comorbidities, lifestyle variables, and apolipoprotein E (APOE) ε4 status were included in adjusted analyses.
    Twenty-three percent of participants had limited literacy (<9th-grade level). Limited literacy, as opposed to adequate literacy (≥9th-grade level), was associated with greater incidence of likely dementia (25.5% vs17.0%; unadjusted hazard ratio [HR] = 1.75, 95% confidence interval 1.44-2.13); this association remained significant after adjustment. There was a trend for an interaction between literacy and APOE ε4 status (p = .07); the association between limited literacy and greater incidence of likely dementia was strong among ε4 noncarriers (unadjusted HR = 1.85) but nonsignificant among ε4 carriers (unadjusted HR = 1.25).
    Limited literacy is an important risk factor for likely dementia, especially among APOE ε4-negative older adults, and may prove fruitful to target in interventions aimed at reducing dementia risk.
    PMID: 24158765 [PubMed - as supplied by publisher]
  • Predictors of maintaining cognitive function in older adults: the Health ABC study.

    Neurology 2009 Jun 9

    Authors: Yaffe K,
    Abstract
    Although several risk factors for cognitive decline have been identified, much less is known about factors that predict maintenance of cognitive function in advanced age.
    We studied 2,509 well-functioning black and white elders enrolled in a prospective study. Cognitive function was measured using the Modified Mini-Mental State Examination at baseline and years 3, 5, and 8. Random effects models were used to classify participants as cognitive maintainers (cognitive change slope > or = 0), minor decliners (slope < 0 and > 1 SD below mean), or major decliners (slope < or = 1 SD below mean). Logistic regression was used to identify domain-specific factors associated with being a maintainer vs a minor decliner.
    Over 8 years, 30% of the participants maintained cognitive function, 53% showed minor decline, and 16% had major cognitive decline. In the multivariate model, baseline variables significantly associated with being a maintainer vs a minor decliner were age (odds ratio [OR] = 0.65, 95% confidence interval [CI] 0.55-0.77 per 5 years), white race (OR = 1.72, 95% CI 1.30-2.28), high school education level or greater (OR = 2.75, 95% CI 1.78-4.26), ninth grade literacy level or greater (OR = 4.85, 95% CI 3.00-7.87), weekly moderate/vigorous exercise (OR = 1.31, 95% CI 1.06-1.62), and not smoking (OR = 1.84, 95% CI 1.14-2.97). Variables associated with major cognitive decline compared to minor cognitive decline are reported.
    Elders who maintain cognitive function have a unique profile that differentiates them from those with minor decline. Importantly, some of these factors are modifiable and thus may be implemented in prevention programs to promote successful cognitive aging. Further, factors associated with maintenance may differ from factors associated with major cognitive decline, which may impact prevention vs treatment strategies.
    PMID: 19506226 [PubMed - as supplied by publisher]
  • Posttraumatic stress disorder in migraine.

    Headache 2009 Apr

    Authors: Peterlin BL,
    Abstract
    To evaluate the relative frequency of posttraumatic stress disorder (PTSD) in episodic migraine (EM) and chronic daily headache (CDH) sufferers and the impact on headache-related disability.
    Approximately 8% of the population is estimated to have PTSD. Recent studies suggest a higher frequency of PTSD in headache disorders. The association of PTSD and headache-related disability has not been examined.
    A prospective study was conducted at 6 headache centers. PTSD was assessed using the life events checklist and PTSD checklist, civilian version (PCL-C). We compared data from EM to CDH, and migraine with PTSD to migraine without PTSD. The PHQ-9 was used to assess depression, and headache impact test (HIT-6) to assess disability.
    Of 767 participants, 593 fulfilled criteria for EM or CDH and were used in this analysis. The mean age was 42.2 years and 92% were women. The frequency of PTSD was greater in CDH than in EM (30.3% vs 22.4%, P = .043), but not after adjusting for demographics and depression (P = .87). However, participants with major depression and PTSD were more likely to have CDH than EM (24.6% vs 15.79%, P < .002). Disability was greater in migraineurs with PTSD, even after adjustments (65.2 vs 61.7, P = .002).
    The frequency of PTSD in migraineurs, whether episodic or chronic, is higher than the historically reported prevalence of PTSD in the general population. In addition, in the subset of migraineurs with depression, PTSD frequency is greater in CDH sufferers than in episodic migraineurs. Finally, the presence of PTSD is independently associated with greater headache-related disability in migraineurs.
    PMID: 19245387 [PubMed - as supplied by publisher]
  • Sleep problems and associated daytime fatigue in community-dwelling older individuals.

    The journals of gerontology. Series A, Biological sciences and medical sciences 2008 Oct

    Authors: Goldman SE,
    Abstract
    Reported fatigue has been identified as a component of frailty. The contribution of nighttime sleep quality (duration and complaints) to fatigue symptoms in community-dwelling older adults has not been evaluated.
    We studied 2264 men and women, aged 75-84 years (mean 77.5 years; standard deviation [SD] 2.9), participating in the Year 5 (2001--2002) clinic visit of the Health, Aging, and Body Composition (Health ABC) study. Fatigue was determined using a subscale of the Modified Piper Fatigue Scale (0-50; higher score indicating higher fatigue). Hours of sleep per night, trouble falling asleep, waking up during the night, and waking up too early in the morning were assessed using interviewer-administered questionnaires.
    The average fatigue score was 17.7 (SD 8.4). In multivariate models, women had a 3.8% higher fatigue score than men did. Individuals who slept < or = 6 hours/night had a 4.3% higher fatigue score than did those who slept 7 hours/night. Individuals with complaints of awakening too early in the morning had a 5.5% higher fatigue score than did those without these complaints. These associations remained significant after multivariate adjustment for multiple medical conditions.
    The association between self-reported short sleep duration (< or = 6 hours), and waking up too early and fatigue symptoms suggests that better and more effective management of sleep behaviors may help reduce fatigue in older adults.
    PMID: 18948557 [PubMed - as supplied by publisher]
  • Association between nighttime sleep and napping in older adults.

    Sleep 2008 May

    Authors: Goldman SE,
    Abstract
    Napping might indicate deficiencies in nighttime sleep, but the relationship is not well defined. We assessed the association of nighttime sleep duration and fragmentation with subsequent daytime sleep.
    Cross-sectional study.
    235 individuals (47.5% men, 29.7% black), age 80.1 (2.9) years.
    Nighttime and daytime sleep were measured with wrist actigraphy and sleep diaries for an average of 6.8 (SD 0.7) nights. Sleep parameters included total nighttime sleep (h), movement and fragmentation index (fragmentation), and total daytime sleep (h). The relationship of total nighttime sleep and fragmentation to napping (yes/no) was assessed using logistic regression. In individuals who napped, mixed random effects models were used to determine the association between the previous night sleep duration and fragmentation and nap duration, and nap duration and subsequent night sleep duration. All models were adjusted for age, race, gender, BMI, cognitive status, depression, cardiovascular disease, respiratory symptoms, diabetes, pain, fatigue, and sleep medication use. Naps were recorded in sleep diaries by 178 (75.7%) participants. The odds ratios (95% CI) for napping were higher for individuals with higher levels of nighttime fragmentation (2.1 [0.8, 5.7]), respiratory symptoms (2.4 [1.1, 5.4]), diabetes (6.1 [1.2, 30.7]), and pain (2.2 [1.0, 4.7]). Among nappers, neither sleep duration nor fragmentation the preceding night was associated with nap duration the next day.
    More sleep fragmentation was associated with higher odds of napping although not with nap duration. Further research is needed to determine the causal association between sleep fragmentation and daytime napping.
    PMID: 18517043 [PubMed - as supplied by publisher]
  • Parkinson's disease in women.

    Disease-a-month : DM 2007 Apr

    Authors:
    Abstract
    PMID: 17586327 [PubMed - as supplied by publisher]
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