Racial disparities in the diagnosis and management of trigeminal neuralgia

Trigeminal neuralgia

Trigeminal neuralgia (TN) is a facial pain disorder characterized by intense and paroxysmal pain that profoundly affects quality of life and presents complex challenges in diagnosis and treatment. TN can be categorized as classical, secondary and idiopathic. Epidemiological studies show variable incidence rates and an increased prevalence in women and in the elderly, with familial cases suggesting genetic factors. The pathophysiology of TN is multifactorial and involves genetic predisposition, anatomical changes, and neurophysiological factors, leading to hyperexcitable neuronal states, central sensitization and widespread neural plasticity changes. Neurovascular compression of the trigeminal root, which undergoes major morphological changes, and focal demyelination of primary trigeminal afferents are key aetiological factors in TN. Structural and functional brain imaging studies in patients with TN demonstrated abnormalities in brain regions responsible for pain modulation and emotional processing of pain. Treatment of TN involves a multifaceted approach that considers patient-specific factors, including the type of TN, with initial pharmacotherapy followed by surgical options if necessary. First-line pharmacological treatments include carbamazepine and oxcarbazepine. Surgical interventions, including microvascular decompression and percutaneous neuroablative procedures, can be considered at an early stage if pharmacotherapy is not sufficient for pain control or has intolerable adverse effects or contraindications.

Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias

Objectives

1.1Biases inherent in electronic health records (EHRs), and therefore in medical artificial intelligence (AI) models may significantly exacerbate health inequities and challenge the adoption of ethical and responsible AI in healthcare. Biases arise from multiple sources, some of which are not as documented in the literature. Biases are encoded in how the data has been collected and labeled, by implicit and unconscious biases of clinicians, or by the tools used for data processing. These biases and their encoding in healthcare records undermine the reliability of such data and bias clinical judgments and medical outcomes. Moreover, when healthcare records are used to build data-driven solutions, the biases are further exacerbated, resulting in systems that perpetuate biases and induce healthcare disparities. This literature scoping review aims to categorize the main sources of biases inherent in EHRs.

Methods

1.2We queried PubMed and Web of Science on January 19th, 2023, for peer-reviewed sources in English, published between 2016 and 2023, using the PRISMA approach to stepwise scoping of the literature. To select the papers that empirically analyze bias in EHR, from the initial yield of 430 papers, 27 duplicates were removed, and 403 studies were screened for eligibility. 196 articles were removed after the title and abstract screening, and 96 articles were excluded after the full-text review resulting in a final selection of 116 articles.

Results

1.3Systematic categorizations of diverse sources of bias are scarce in the literature, while the effects of separate studies are often convoluted and methodologically contestable. Our categorization of published empirical evidence identified the six main sources of bias: a) bias arising from past clinical trials; b) data-related biases arising from missing, incomplete information or poor labeling of data; human-related bias induced by c) implicit clinician bias, d) referral and admission bias; e) diagnosis or risk disparities bias and finally, (f) biases in machinery and algorithms.

Conclusions

1.4Machine learning and data-driven solutions can potentially transform healthcare delivery, but not without limitations. The core inputs in the systems (data and human factors) currently contain several sources of bias that are poorly documented and analyzed for remedies. The current evidence heavily focuses on data-related biases, while other sources are less often analyzed or anecdotal. However, these different sources of biases add to one another exponentially. Therefore, to understand the issues holistically we need to explore these diverse sources of bias. While racial biases in EHR have been often documented, other sources of biases have been less frequently investigated and documented (e.g. gender-related biases, sexual orientation discrimination, socially induced biases, and implicit, often unconscious, human-related cognitive biases). Moreover, some existing studies lack causal evidence, illustrating the different prevalences of disease across groups, which does not per se prove the causality. Our review shows that data-, human- and machine biases are prevalent in healthcare and they significantly impact healthcare outcomes and judgments and exacerbate disparities and differential treatment. Understanding how diverse biases affect AI systems and recommendations is critical. We suggest that researchers and medical personnel should develop safeguards and adopt data-driven solutions with a "bias-in-mind" approach. More empirical evidence is needed to tease out the effects of different sources of bias on health outcomes.

Online dynamic nomogram for predicting pain recurrence after microvascular decompression in trigeminal neuralgia

Trigeminal neuralgia (TN) is one of the most common causes of facial pain. Microvascular decompression (MVD) is the first-choice surgical treatment. The present study aimed to develop a novel practical assessment system based on preoperative clinical and imaging factors for clinicians to predict the likelihood of pain recurrence following MVD in TN. A total of 56 patients with primary unilateral TN who underwent MVD were retrospectively analyzed. Patients were followed up to observe pain recurrence 1 year after MVD. An online dynamic nomogram was constructed for predicting the probability of pain recurrence after MVD in patients with TN based on multivariate logistic model. The concordance index (C-index) and receiver operating characteristic (ROC) were used to measure model discrimination. Bootstrap resampling was used for internal validation of the model and calibration curve was constructed. Decision curve analysis (DCA) was used to assess clinical applicability. Factors such as numeric rating scale (to score pain degree of patients with TN), response to neuroanalgesic drugs and neurovascular contact on magnetic resonance imaging were independent risk factors affecting the pain recurrence rate (all P<0.05). C-index was 0.973 (95%CI, 0.938-1.000) and the area under the ROC was 0.973 (95%CI, 0.938-1.000). Calibration curve with a 1,000 bootstrap resampling showed a good fit between dynamic nomogram prediction and actual observations. The DCA showed that at a threshold probability between 0 and 100%, this model can achieve a greater net benefit than if all patients had surgery or none had surgery. In conclusion, this online dynamic nomogram reliably predicted risk of pain recurrence in patients with TN following MVD.

Sex differences in patient journeys to diagnosis, referral, and surgical treatment of trigeminal neuralgia: implications for equitable care

OBJECTIVE

Trigeminal neuralgia (TN) is an orofacial pain disorder that is more prevalent in females than males. Although an increasing number of studies point to sex differences in chronic pain, how sex impacts TN patients' journeys to care has not been previously addressed. This study sought to investigate sex differences in patients' journeys to diagnosis, referral, and treatment of TN within a large national context.

METHODS

Patients with classic TN (n = 100; 50 females and 50 males) were randomly selected through chart reviews at the largest surgical treatment center for TN in Canada for a cross-sectional study. Statistical tests, including Welch's t-test, the chi-square test, Pearson's correlations, and analyses of covariance, were conducted with Python.

RESULTS

Key discrepancies between sexes in access to care were identified. Females had a significantly longer referral time interval (average 53.2 months vs 20.4 months, median 27.5 months vs 11.0 months, p = 0.018) and total time interval (average 121.1 months vs 67.8 months, median 78.0 months vs 45.2 months, p = 0.018) than males, despite reporting higher pain intensity at referral. Although medically intolerant patients had a significantly shorter referral time interval than medically tolerant patients (average 13.0 months vs 41.0 months, median 6.0 months vs 17.0 months, p < 0.001), medically tolerant females had a significantly longer referral time interval than medically tolerant males (average 59.9 months vs 21.7 months, median 30.0 months vs 12.0 months, p = 0.017). No statistically significant differences were detected between the sexes for diagnostic time interval (average 63.3 months vs 43.0 months, median 24.0 months vs 24.0 months, p = 0.263) or treatment time interval (average 4.6 months vs 4.7 months, median 4.0 months vs 3.0 months, p = 0.986).

CONCLUSIONS

Critical sex differences in patients' journeys to TN surgical treatment were identified, with females enduring considerably longer referral timelines and expressing significantly greater pain intensity than males at referral. Taken together, our findings suggest the presence of unconscious bias and discrimination against females and highlight the need for expediting TN treatment referral for female TN patients.

Impact of demographic factors on chronic pain among adults in the United States

Introduction

Chronic pain affects more than 1 in 5 American adults, and its effects are not evenly distributed throughout the population.

Methods

Using the National Health Interview Survey (NHIS), a household-based annual survey of self-reported health status of U.S. adults, this cross-sectional study describes differences in the prevalence of chronic pain and its effects across socioeconomic groups.

Results

In univariate analyses, chronic pain was more prevalent among female respondents, persons with lower educational attainment, non-Hispanic White individuals, and those who were insured as well as those who were married. After accounting for all other demographic factors, age, female sex, and lower educational attainment were associated with higher odds of having chronic pain, whereas Hispanic and non-Hispanic Black race were associated with lower odds. Despite lower odds of having chronic pain, Hispanic and non-Hispanic Black race were associated with greater odds of reporting more severe pain than White race. There were no significant differences across race in the effects of pain on life, work, or family, although female sex and lower educational attainment were associated with greater effects of pain on these domains. Educational attainment was the only characteristic associated with greater odds of ineffective pain management after accounting for all other demographic factors.

Conclusions

Implications for reducing disparities in the treatment of chronic pain are discussed.

Association of Disease Severity and Socioeconomic Status in Black and White Americans With Multiple Sclerosis

OBJECTIVE

To compare clinical and imaging features of multiple sclerosis (MS) severity between Black Americans (BA) and White Americans (WA) and evaluate the role of socioeconomic status.

METHODS

We compared BA and WA participants in the Multiple Sclerosis Partners Advancing Technology Health Solutions (MS PATHS) cohort with respect to MS characteristics including self-reported disability, objective neurologic function assessments, and quantitative brain MRI measurements, after covariate adjustment (including education level, employment, or insurance as socioeconomic indicators). In a subgroup, we evaluated within-race, neighborhood-level indicators of socioeconomic status (SES) using 9-digit ZIP codes.

RESULTS

Of 1,214 BAs and 7,530 WAs with MS, BAs were younger, had lower education level, and were more likely to have Medicaid insurance or be disabled or unemployed than WAs. BAs had worse self-reported disability (1.47-fold greater odds of severe vs. mild disability, 95% CI 1.18, 1.86) and worse performances on tests of cognitive processing speed (-5.06 fewer correct, CI -5.72, -4.41), walking (0.66 seconds slower, 95% CI 0.36, 0.96) and manual dexterity (2.11 seconds slower, 95% CI 1.69, 2.54). BAs had more brain MRI lesions and lower overall and gray matter brain volumes, including reduced thalamic (-0.77 mL, 95% CI -0.91, -0.64), cortical (-30.63 mL, 95% CI -35.93, -25.33), and deep (-1.58 mL, 95% CI -1.92, -1.23) gray matter volumes. While lower SES correlated with worse neuroperformance scores in WAs, this association was less clear in BA.

CONCLUSION

We observed a greater burden of disease in BAs with MS relative to WAs with MS, despite adjustment for SES indicators. Beyond SES, future longitudinal studies should also consider roles of other societal constructs (e.g., systemic racism). Such studies will be important for identifying prognostic factors and optimal treatment strategies among BAs with MS is warranted.

Dialectical Pain Management: Feasibility of a Hybrid Third-Wave Cognitive Behavioral Therapy Approach for Adults Receiving Opioids for Chronic Pain

OBJECTIVES

This study evaluated the feasibility, acceptability, and potential effectiveness of a hybrid skills-based group intervention, dialectical pain management (DPM), for adults with chronic pain who are receiving long-term opioid therapy. DPM adapts dialectical behavior therapy, a rigorous psychotherapeutic approach to emotion dysregulation, to treat disorders of physiological dysregulation.

METHODS

Individuals with chronic pain (N = 17) participated in one of two 8-week DPM intervention cohorts. At pre-test and post-test, participants completed quantitative self-report assessments measuring pain intensity and interference, depressive symptoms, pain acceptance, beliefs about pain medications, and global rating of change. Within 2 weeks after the intervention, participants completed qualitative interviews to assess participant satisfaction and obtain feedback about specific intervention components.

RESULTS

Of the 17 enrolled, 15 participants completed the group with 12 (70%) attending six or more sessions. Participants reported high satisfaction with the intervention. Preliminary findings suggested a significant increase in pain acceptance and a significant reduction in depressive symptoms. Participants also reported an improved relationship with their pain conditions and increased flexibility in responding to pain and applying coping skills. Several participants showed a reduction in opioid dosage over the course of the intervention.

DISCUSSION

Findings support that DPM is a feasible and well-received intervention for individuals with chronic pain. Additional research with a control group is needed to further determine the intervention's efficacy and impact.

Racial and Ethnic Disparities in the Treatment of Chronic Pain

OBJECTIVE

To summarize the current literature on disparities in the treatment of chronic pain.

METHODS

We focused on studies conducted in the United States and published from 2000 and onward. Studies of cross-sectional, longitudinal, and interventional designs were included.

RESULTS

A review of the current literature revealed that an adverse association between non-White race and treatment of chronic pain is well supported. Studies have also shown that racial differences exist in the long-term monitoring for opioid misuse among patients suffering from chronic pain. In addition, a patient's sociodemographic profile appears to influence the relationship between chronic pain and quality of life. Results from interventional studies were mixed.

CONCLUSIONS

Disparities exist within the treatment of chronic pain. Currently, it is unclear how to best combat these disparities. Further work is needed to understand why disparities exist and to identify points in patients' treatment when they are most vulnerable to unequal care. Such work will help guide the development and implementation of effective interventions.

Small Posterior Cranial Fossa and Cerebellopontine Cistern Volumes Are Associated With Bilateral Trigeminal Neuralgia

Objective: To investigate whether small volumes of the posterior cranial fossa and cerebellopontine cisterns are associated with bilateral trigeminal neuralgia (BTN) and to provide further knowledge regarding the etiology and treatment of this rare disease.

Methods: We retrospectively analyzed clinical data and imaging examination results for 30 BTN patients between January 2009 and December 2019. Thirty age- and sex-matched healthy individuals and 30 patients with unilateral trigeminal neuralgia (UTN) were selected as two control groups. The volume of the posterior cranial fossa (VPCF) and volumes of the cerebellopontine cisterns were measured using ITK-SNAP 3.0, which considers the cerebrospinal fluid (CSF) volume based on the region of interest (ROI). Preoperative and postoperative statuses were based on visual analog scale (VAS) pain scores and Barrow Neurological Institute (BNI) scores.

Results: A total of 30 patients (11 males; 19 females) were included, and the age of the BTN participants ranged from 41 to 77 (59.93 ± 9.89) years. The duration of TN ranged from 1 to 20 (5.36 ± 3.92) years, and the interval between the two sides ranged from 0 to 3 (1.10 ± 0.79) years. Three patients (10%) in the BTN group had familial trigeminal neuralgia, with no other hereditary history of neurological disorders. In BTN patients, with 25 (83.3%) cases on the left side and 26 (86.7%) on the right side, veins were identified in the operative field and regarded as the individual or offending vessel. The mean VPCF was significantly lower in the patients with BTN than in the healthy controls (4,813 ± 1,155 mm³ vs. 5,127 ± 1,129 mm³, p = 0.008). The volumes of the cerebellopontine cisterns on both sides were significantly smaller in the BTN patients than in the healthy controls (477 ± 115 mm³ vs. 515 ± 112 mm³ on the left side, p = 0.001; and 481 ± 114 mm³ vs. 515 ± 110 mm³ on the right side, p = 0.007). There was no significant difference between the BTN group and the UTN group in terms of the VPCF (4,843 ± 1,184 mm³ vs. 4,813 ± 1,155 mm³, p = 0.402), and there was also no significant difference between the two groups in terms of preoperative VAS pain scores or BNI scores.

Conclusion: Overcrowding in the posterior fossa will lead to closer neurovascular relations and, a higher incidence of NVC, and ultimately may be more likely to lead to TN. Veins are the common offending vessels that cause BTN; they might be associated with abnormal vascular development leading to NVC. Microsurgical vascular decompression (MVD) is a safe and effective method for the treatment of BTN, similar to UTN.

The effect of racial and gender concordance between physicians and patients on the assessment of hospitalist performance: a pilot study

BACKGROUND

Lack of racial concordance between physicians and patients has been linked to health disparities and inequities. Studies show that patients prefer physicians who look like them; however, there are too few underrepresented minority physicians in the workforce. Hospitalists are Internal Medicine physicians who specialize in inpatient medicine. At our hospital, hospitalists care for 60% of hospitalized medical patients. We utilized the validated Tool to Assess Inpatient Satisfaction with Care from Hospitalists (TAISCH) to assess the effect of patient-provider race and gender concordance on patients' assessment of their physician's performance.

METHODS

Four hundred thirty-seven inpatients admitted to the non-teaching hospitalist service, cared for by a unique hospitalist physician for two or more consecutive days, were surveyed using the validated TAISCH instrument. The influence of gender and racial concordance on TAISCH scores for patient - hospitalist pairs were assessed by comparing the specific dyads with the overall mean scores. T-tests were used to compare the means. Generalized estimating equations were used to account for clustering.

RESULTS

Of the 34 hospitalist physicians in the analysis, 20% were African American (AA-non-Hispanic), 15% were Caucasians (non-Hispanic) and 65% were in the "other" category. The "other" category consisted of predominantly physicians of South East Asian decent (i.e. Indian subcontinent) and Hispanic. Of the 437 patients, 66% were Caucasians, and 32% were AA. The overall mean TAISCH score, as these 437 patients assessed their hospitalist provider was 3.8 (se = 0.60). The highest mean TAISCH score was for the Caucasian provider-AA patient dyads at 4.2 (se = 0.21, p = 0.05 compared to overall mean). The lowest mean TAISCH score was 3.5 (se = 0.14) seen in the AA provider/AA patient dyads, significantly lower than the overall mean (p = 0.013). There were no statistically significant differences noted between mean TAISCH scores of gender and racially concordant versus discordant doctor-patient dyads (all p's > 0.05).

CONCLUSIONS

In the inpatient setting, it appears as if neither race nor gender concordance with the provider affects a patient's assessment of a hospitalist's performance.

Reducing neurodisparity: Recommendations of the 2017 AAN Diversity Leadership Program

Many advances in prevention, diagnosis, and treatment of neurologic disease have emerged in the last few decades, resulting in reduced mortality and decreased disability. However, these advances have not benefitted all populations equally. A growing body of evidence indicates that barriers to care fall along racial and ethnic lines, with persons from minority groups frequently having lower rates of evaluation, diagnosis, and intervention, and consequently experiencing worse neurologic outcomes than their white counterparts. The American Academy of Neurology (AAN) challenged its 2017 Diversity Leadership Program cohort to determine what the AAN can do to improve quality of care for racially and ethnically diverse patients with neurologic disorders. Developing a fuller understanding of the effect of disparities in neurologic care (neurodisparity) on patients is an important prerequisite for creating meaningful change. Clear insight into how bias and trust affect the doctor-patient relationship is also crucial to grasp the complexity of this issue. We propose that the AAN take a vital step toward achieving equity in neurologic care by enhancing health literacy, patient education, and shared decision-making with a focus on internet and social media. Moreover, by further strengthening its focus on health disparities research and training, the AAN can continue to inform the field and aid in the development of current and future leaders who will address neurodisparity. Ultimately, the goal of tackling neurodisparity is perfectly aligned with the mission of the AAN: to promote the highest-quality patient-centered neurologic care and enhance member career satisfaction.