Racial and Ethnic Disparities in Parkinson Disease: A Call to Action

Disparities in the treatment of movement disorders using deep brain stimulation

OBJECTIVE

Deep brain stimulation (DBS) is a well-established treatment for Parkinson's disease (PD) and essential tremor (ET). Although the prevalence of PD and ET can vary by sex and race, little is known about the accessibility of neurosurgical treatments for these conditions. In this nationwide study, the authors aimed to characterize trends in the use of DBS for the treatment of PD and ET and to identify disparities in the neurosurgical treatment of these diseases based on ethnic, racial, sex, insurance, income, hospital, and geographic factors.

METHODS

Using the dates January 1, 2012, to December 31, 2019, the authors queried the National Inpatient Sample database for all discharges with an ICD-9 or ICD-10 diagnosis of PD or ET. Among these discharges, the DBS rates were reported for each subgroup of race, ethnicity, and sex. To develop national estimates, all analyses were weighted.

RESULTS

Among 2,517,639 discharges with PD, 29,820 (1.2%) received DBS, and among 652,935 discharges with ET, 11,885 (1.8%) received DBS. Amid the PD cases, Black patients (n = 405 [0.2%], OR 0.16, 95% CI 0.12-0.20) were less likely than White patients (n = 23,975 [1.2%]) to receive DBS treatment, as were Hispanic patients (n = 1965 [1.1%], OR 0.76, 95% CI 0.65-0.88), whereas Asian/Pacific Islander patients (n = 855 [1.5%]) did not statistically differ from White patients. Amid the ET cases, Black (n = 230 [0.8%], OR 0.39, 95% CI 0.27-0.56), Hispanic (n = 215 [1.0%], OR 0.39, 95% CI 0.28-0.55), and Asian/Pacific Islander (n = 55 [1.0%], OR 0.51, 95% CI 0.28-0.93) patients were less likely than White patients (n = 10,440 [1.9%]) to receive DBS. Females were less likely than males to receive DBS for PD (OR 0.69, p < 0.0001) or ET (OR 0.70, p < 0.0001).

CONCLUSIONS

The authors describe significant racial and sex-based differences in the utilization of DBS for the treatment of PD and ET. Further research is required to ascertain the causes of these disparities, as well as any differences in access to specialty neurosurgical care and referral for neuromodulation approaches.

Genetic and phenotypic characterization of Parkinson's disease at the clinic-wide level

Observational studies in Parkinson's disease (PD) deeply characterize relatively small numbers of participants. The Molecular Integration in Neurological Diagnosis Initiative seeks to characterize molecular and clinical features of every PD patient at the University of Pennsylvania (UPenn). The objectives of this study are to determine the feasibility of genetic characterization in PD and assess clinical features by sex and GBA1/LRRK2 status on a clinic-wide scale. All PD patients with clinical visits at the UPenn PD Center between 9/2018 and 12/2022 were eligible. Blood or saliva were collected, and a clinical questionnaire administered. Genotyping at 14 GBA1 and 8 LRRK2 variants was performed. PD symptoms were compared by sex and gene groups. 2063 patients were approached and 1,689 (82%) were enrolled, with 374 (18%) declining to participate. 608 (36%) females were enrolled, 159 (9%) carried a GBA1 variant, and 44 (3%) carried a LRRK2 variant. Compared with males, females across gene groups more frequently reported dystonia (53% vs 46%, p = 0.01) and anxiety (64% vs 55%, p < 0.01), but less frequently reported cognitive impairment (10% vs 49%, p < 0.01) and vivid dreaming (53% vs 60%, p = 0.01). GBA1 variant carriers more frequently reported anxiety (67% vs 57%, p = 0.04) and depression (62% vs 46%, p < 0.01) than non-carriers; LRRK2 variant carriers did not differ from non-carriers. We report feasibility for near-clinic-wide enrollment and characterization of individuals with PD during clinical visits at a high-volume academic center. Clinical symptoms differ by sex and GBA1, but not LRRK2, status.

Online cognitive testing in Parkinson's disease: advantages and challenges

Parkinson's disease (PD) is primarily characterized by motor symptoms. Yet, many people with PD experience cognitive decline, which is often unnoticed by clinicians, although it may have a significant impact on quality of life. For over half a century, traditional in-person PD cognitive assessment lacked accessibility, scalability, and specificity due to its inherent limitations. In this review, we propose that novel methods of online cognitive assessment could potentially address these limitations. We first outline the challenges of traditional in-person cognitive testing in PD. We then summarize the existing literature on online cognitive testing in PD. Finally, we explore the advantages, but also the limitations, of three major processes involved in online PD cognitive testing: recruitment and sampling methods, measurement and participation, and disease monitoring and management. Taking the limitations into account, we aim to highlight the potential of online cognitive testing as a more accessible and efficient approach to cognitive testing in PD.

Racial and Ethnic Disparities in Neurological Care in the United States

The burden of neurological disease is increasing globally. In the United States, this burden is disproportionally greater for Black and Latino communities who have limited access to neurological care. Health services researchers have attempted to identify racial and ethnic disparities in neurological care and possible solutions. This article reviews the most current literature on racial and ethnic disparities in commonly encountered neurological conditions, including Stroke, Alzheimer's Disease, Multiple Sclerosis, Epilepsy, Parkinson's Disease, and Migraine. Disparities exist in disease incidence, diagnosis, access to care, treatment, outcomes, and representation in epidemiologic studies and clinical trials. Many of the disparities observed in neurological care in the United States are a consequence of longstanding racist and discriminatory policies and legislation that increase risk factors for the development of neurological disease or lead to disparities in accessing quality neurological care. Therefore, additional efforts on the legislative, community health, and healthcare system levels are necessary to prevent the onset of neurological disease and achieve equity in neurological care.

Racial disparities in hospitalization characteristics among Native Hawaiians, Pacific Islanders and Asian American subgroups with Parkinson's disease

BACKGROUND

Differences among Native Hawaiians/Pacific Islanders (NHPI) and Asian American (AA) subgroups have not been adequately studied in Parkinson's disease (PD).

OBJECTIVE

To determine differences in demographics, comorbidities, and healthcare utilization among NHPI, AA subgroups, and White hospitalized PD patients.

METHODS

We conducted a retrospective cross-sectional analysis of Hawai'is statewide registry (2016-2020). Patients with PD were identified using ICD10 code G20 and categorized as White, Japanese, Filipino, Chinese, NHPI, or Other. Variables collected included: age, sex, residence (county), primary source of payment, discharge status, length of stay, in-hospital expiration, Charlson Comorbidity Index (CCI) and Deep Brain Stimulation (DBS) utilization. Bivariate analyses were performed: differences in age and CCI were further examined by multivariable linear regression and proportional odds models.

RESULTS

Of 229,238 hospitalizations, 2428 had PD (Japanese: 31.3 %, White: 30.4 %, Filipino: 11.3 %, NHPI: 9.6 %, Chinese: 8.0 %). NHPI were younger compared to rest of the subgroups [estimate in years (95 % CI): Whites: 4.4 (3.0-5.8), Filipinos: 4.3 (2.7-5.9), Japanese: 7.7 (6.4-9.1), Chinese: 7.9 (6.1-9.7), p < 0.001)]. NHPI had a higher CCI compared to White, Japanese, and Chinese (p < 0.001). Among AA subgroups, Filipinos were younger and had a higher CCI compared to Japanese and Chinese (p < 0.001). There were no significant differences in DBS utilization among subgroups.

CONCLUSIONS

NHPI and Filipinos with PD were hospitalized at a younger age and had a greater comorbidity burden compared to other AAs and Whites. Further research, ideally prospective studies, are needed to understand these racial disparities.

The Prevalence of Hospitalized Parkinson's Disease Patients in All Case Hospitalization among Different Race/Ethnic Subgroups in Hawaii

Background

Little is known about the epidemiology of Parkinson's disease (PD) patients in Native Hawaiian Or Other Pacific Islander (NHPI) and Asian American (AA) subgroups.

Objective

To determine if the prevalence of hospitalized PD patients is different across age groups and racial/ethnic subgroups in Hawaii.

Methods

We conducted a retrospective analysis of Hawaii statewide registry (2016-2020) hospitalization data for patients who were 50 years or older. PD patients were identified using an ICD 10 code: Parkinson's Disease (G20) as their primary/secondary hospitalization discharge diagnosis code. Demographic and clinical characteristics among racial/ethnic subgroups (White, Japanese, Filipino, Chinese, NHPI, or Other) were compared.

Results

Of 146,844 total hospitalized patients (n = 429,879 records), 1.6% (n = 2,401) had a PD diagnosis. The prevalence of hospitalized PD patients was 2.3% among Japanese and Chinese, followed by 1.7% for Whites, 1.2% for Filipinos and was lowest for NHPI with 0.9% (p < 0.001). As patient's age increased, the prevalence of hospitalized PD patients increased, with 80-84 years old for the highest age range (3.4%). The prevalence of hospitalized PD patients at 80-84 years old varied across the race/ethnic subgroups (Chinese 4.3%, Japanese 4.0%, Whites 3.7%, Filipinos 2.5%, NHPI 2.3%).

Conclusions

The prevalence of hospitalized PD patients among all case hospitalizations were lower for NHPI and Filipino compared to that of Japanese, Chinese, and Whites. As patients' age increased, the prevalence of hospitalized patients with PD increased, but less so in NHPI and Filipino groups. Further research is warranted to understand the reason for these observed differences among racial/ethnic subgroups.

Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records

Objective

This study assesses the application of interpretable machine learning modeling using electronic medical record data for the prediction of conversion to neurological disease.

Methods

A retrospective dataset of Cleveland Clinic patients diagnosed with Alzheimer's disease, amyotrophic lateral sclerosis, multiple sclerosis, or Parkinson's disease, and matched controls based on age, sex, race, and ethnicity was compiled. Individualized risk prediction models were created using eXtreme Gradient Boosting for each neurological disease at four timepoints in patient history. The prediction models were assessed for transparency and fairness.

Results

At timepoints 0-months, 12-months, 24-months, and 60-months prior to diagnosis, Alzheimer's disease models achieved the area under the receiver operating characteristic curve on a holdout test dataset of 0.794, 0.742, 0.709, and 0.645; amyotrophic lateral sclerosis of 0.883, 0.710, 0.658, and 0.620; multiple sclerosis of 0.922, 0.877, 0.849, and 0.781; and Parkinson's disease of 0.809, 0.738, 0.700, and 0.651, respectively.

Conclusions

The results demonstrate that electronic medical records contain latent information that can be used for risk stratification for neurological disorders. In particular, patient-reported outcomes, sleep assessments, falls data, additional disease diagnoses, and longitudinal changes in patient health, such as weight change, are important predictors.