Examining allostatic load, neighborhood socioeconomic status, symptom burden and mortality in multiple myeloma patients

Tipping Point: Pathogenic Stress and the Biopolitics of Euthanasia

Hopelessness and demoralization following a terminal diagnosis can affect the capacity for self-governance. Such dispositions can increase the allostatic load-the cumulative burden of stress and anxiety-resulting in a neurophysiologic decline that can impair autonomy and influence the desire to end one's life deliberately. An allostatic overload is characterized by the inability to autoregulate stress and is associated with pathological changes to the hypothalamic-pituitary-adrenal axis and hippocampus. These changes raise concerns about the reliability of concepts of autonomy in extremis, potentially undermining arguments that are used to justify voluntary euthanasia and medically assisted death. Studies have associated depression and hopelessness with suicidal ideation in the general population. However, fewer studies have examined how patients without a history of depression or suicidal ideation may suddenly contemplate the act when facing a terminal prognosis. This paper will argue that an allostatic overload can help explain how the spectrum of physical and psychological comorbidities associated with the onset of a terminal illness can influence a decision to hasten death. Data show that patients with a terminal disease wishing to hasten death typically exhibit lower rates of clinical depression, higher rates of demoralization, and a greater likelihood of rational suicide. These differences indicate that suicidal ideation in the terminal disease patient population is different. Changes in autonomous decision-making secondary to pathological alterations in the brain may offer an explanation. Such changes have been shown to dysregulate executive control functions, specifically intentionality and voluntariness. Clinical evidence also indicates that spirituality and hopefulness can help manage the allostatic load during the palliative stages of a disease so that patients can better process end-of-life decisions. Based on these data, this paper will further argue that jurisdictions offering euthanasia are morally compelled to make mental and spiritual counseling available to patients seeking this course of action.

The influence of non-cancer-related risk factors on the development of cancer-related lymphedema: a rapid review

Extensive research supports an evidence-base for cancer treatment-related risk factors, including extent of lymph node dissection and use of radiotherapy, as contributing to secondary lymphedema. Additionally, comorbidities, such as higher body mass index, and vascular-related conditions are identified to further augment risk. While social determinants of health (SDOH) and socioeconomic factors are widely regarded as influencing an individual's healthcare outcomes, including cancer risk and survival, these factors have not been explored as risk factors for developing secondary lymphedema. A rapid literature review explored the current evidence for SDOH as risk factors for lymphedema. Studies that were published over the last 10 years and that specifically analyzed social factors as variables associated with lymphedema were included. Studies that only characterized the social determinants of the study population were not included. Forty-nine studies were identified through a rapid literature review, and 13 studies that expressly analyzed social determinants as risk factors for secondary lymphedema were reviewed and extracted. All studies were conducted in patients with breast cancer-related lymphedema. Social risk factors included race, educational level, insurance type, and income level. These are consistent with the socioeconomic inequalities related to cancer survival. SDOH may influence the risk of developing cancer treatment-related health conditions like secondary lymphedema. Research trials studying cancer treatment-related conditions should collect consistent and robust data across social, behavioral, environmental, and economic domains and should analyze these variables to understand their contribution to study endpoints. Risk prediction modeling could be a future pathway to better incorporate social determinants, along with medical and co-morbidity data, to holistically understand lymphedema risk.

Retrospective operationalization of allostatic load in patients with cancer: A systematic review

Allostatic load (AL) has been shown to impact cancer outcomes. At present, no gold standard exists surrounding AL computation. As such, a systematic review of the literature was performed to identify studies that retrospectively calculated AL in patients with cancer. The following variables were collected for each study: AL calculation method, including the biomarkers used and their cutoff values, number of biosystems represented, definition of high AL, and the use of proxy biomarkers. Thirteen articles were included for full-text review. The number of biomarkers used in the calculation of AL varied considerably, ranging from 6 to 16. Considerable variability was also observed in terms of utilized biomarkers and biosystem representation. This lack of standardization complicates retrospective AL calculation among patients with cancer. Nonetheless, determining AL in patients with cancer presents an important step in the optimization of patient care and outcomes.

Assessing the Correlation between Allostatic Load and False-Positive Image-Guided Breast Biopsies

Background: Allostatic load (AL) is the accumulation of physiological dysregulation attributed to repeated activation of the stress response over a lifetime. We assessed the utility of AL as a prognostic measure for high-risk benign breast biopsy pathology results. Method: Eligible patients were women 18 years or older, with a false-positive outpatient breast biopsy between January and December 2022 at a tertiary academic health center. AL was calculated using 12 variables representing four physiological systems: cardiovascular (pulse rate, systolic and diastolic blood pressures, total cholesterol, high-density lipoprotein, and low-density lipoprotein); metabolic (body mass index, albumin, and hemoglobin A1C); renal (creatinine and estimated glomerular filtration rate); and immune (white blood cell count). Multivariable logistic regression was used to assess the association between AL before biopsy and breast biopsy outcomes controlling for patients' sociodemographics. Results: In total, 170 women were included (mean age, 54.1 ± 12.9 years): 89.4% had benign and 10.6% had high-risk pathologies (radial scar/complex sclerosing lesion, atypical ductal or lobular hyperplasia, flat epithelial atypia, intraductal papilloma, or lobular carcinoma in-situ). A total of 56.5% were White, 24.7% Asian, and 17.1% other races. A total of 32.5% identified as Hispanic. The mean breast cancer risk score using the Tyrer-Cuzick model was 11.9 ± 7.0. In multivariable analysis, with every one unit increase in AL, the probability of high-risk pathology increased by 37% (odds ratio, 1.37; 95% confidence interval, 1.03, 1.81; p = 0.03). No significant association was seen between high-risk pathology and age, ethnicity, breast cancer risk, or area deprivation index. Conclusion: Our findings support that increased AL, a biological marker of stress, is associated with high-risk pathology among patients with false-positive breast biopsy results.

Neighborhood-level deprivation and survival in lung cancer

BACKGROUND

Despite recent advances in lung cancer therapeutics and improving overall survival, disparities persist among socially disadvantaged populations. This study aims to determine the effects of neighborhood deprivation indices (NDI) on lung cancer mortality. This is a multicenter retrospective cohort study assessing the relationship between NDI and overall survival adjusted for age, disease stage, and DNA methylation among biopsy-proven lung cancer patients. State-specific NDI for each year of sample collection were computed at the U.S. census tract level and dichotomized into low- and high-deprivation.

RESULTS

A total of 173 non small lung cancer patients were included, with n = 85 (49%) and n = 88 (51%) in the low and high-deprivation groups, respectively. NDI was significantly higher among Black patients when compared with White patients (p = 0.003). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZFP42, HOXA9, CDO1 and TAC1. Only HOXA7 DNA methylation was positively correlated with NDI. The high-deprivation group had a statistically significant shorter survival than the low-deprivation group (p = 0.02). After adjusting for age, race, stage, and DNA methylation status, belonging to the high-deprivation group was associated with higher mortality with a hazard ratio of 1.81 (95%CI: 1.03-3.19).

CONCLUSIONS

Increased neighborhood-level deprivation may be associated with liquid biopsy DNA methylation, shorter survival, and increased mortality. Changes in health care policies that consider neighborhood-level indices of socioeconomic deprivation may enable a more equitable increase in lung cancer survival.

Disparities in Provider Ordering Practices of Image-Guided Interventions and Surgery for Patients With Low Back Pain: A Cohort Study

OBJECTIVE

To assess individual- and neighborhood-level sociodemographic factors associating with providers' ordering of nonpharmacologic treatments for patients with low back pain (LBP), specifically physical therapy, image-guided interventions, and lumbar surgery.

METHODS

Our cohort included all patients diagnosed with LBP from 2000 to 2017 in a statewide database of all hospitals and ambulatory surgical facilities within Utah. We compared sociodemographic and clinical characteristics of (1) patients with LBP who received any treatment with those who received none and (2) patients with LBP who received invasive LBP treatments with those who only received noninvasive LBP treatments using the Student's t test, Wilcoxon's rank-sum tests, and Pearson's χ2 tests, as applicable, and two separate multivariate logistic regression models: (1) to determine whether sociodemographic characteristics were risk factors for receiving any LBP treatments and (2) risk factors for receiving invasive LBP treatments.

RESULTS

Individuals in the most disadvantaged neighborhoods were less likely to receive any nonpharmacologic treatment orders (odds ratio [OR] 0.74 for most disadvantaged, P < .001) and received fewer invasive therapies (0.92, P = .018). Individual-level characteristics correlating with lower rates of treatment orders were female sex, Native Hawaiian or other Pacific Islander race (OR 0.50, P < .001), Hispanic ethnicity (OR 0.77, P < .001), single or unmarried status (OR 0.69, P < .001), and no insurance or self-pay (OR 0.07, P < .001).

CONCLUSION

Neighborhood and individual sociodemographic variables associated with treatment orders for LBP with Area Deprivation Index, sex, race or ethnicity, insurance, and marital status associating with receipt of any treatment, as well as more invasive image-guided interventions and surgery.

The Implications of Racialized Economic Segregation and Allostatic Load on Mortality in Patients with Breast Cancer

BACKGROUND

The objective of this study was to examine the association between racialized economic segregation, allostatic load (AL), and all-cause mortality in patients with breast cancer.

PATIENTS AND METHODS

Women aged 18+ years with stage I-III breast cancer diagnosed between 01/01/2012 and 31/12/2020 were identified in the Ohio State University cancer registry. Racialized economic segregation was measured at the census tract level using the index of concentration at the extremes (ICE). AL was calculated with biomarkers from the cardiac, metabolic, immune, and renal systems. High AL was defined as AL greater than the median. Univariable and multivariable regression analyses using restricted cubic splines examined the association between racialized economic segregation, AL, and all-cause mortality.

RESULTS

Among 4296 patients, patients residing in neighborhoods with the highest racialized economic segregation (Q1 versus Q4) were more likely to be Black (25% versus 2.1%, p < 0.001) and have triple-negative breast cancer (18.2% versus 11.6%, p < 0.001). High versus low racialized economic segregation was associated with high AL [adjusted odds ratio (aOR) 1.40, 95% confidence interval (CI) 1.21-1.61] and worse all-cause mortality [adjusted hazard ratio (aHR) 1.41, 95% CI 1.08-1.83]. In dose-response analyses, patients in lower segregated neighborhoods (relative to the 95th percentile) had lower odds of high AL, whereas patients in more segregated neighborhoods had a non-linear increase in the odds of high AL.

DISCUSSION

Racialized economic segregation is associated with high AL and a greater risk of all-cause mortality in patients with breast cancer. Additional studies are needed to elucidate the causal pathways and mechanisms linking AL, neighborhood factors, and patient outcomes.

Oncologic anthropology: Global variations in breast cancer risk, biology, and outcome

The global breast cancer burden is growing. Of 19.3 million new cancers diagnosed in 2020, 2.26 million were breast, surpassing lung as the most commonly diagnosed worldwide. Breast cancer is the fourth most common cause of cancer deaths worldwide, and the leading cause of death in females. Incidence and mortality rates are projected to rise disproportionately in low and middle-income countries, a consequence of socioeconomic factors and differences in tumor biology related to genetic ancestry.

Higher Stress in Oncology Patients is Associated With Cognitive and Evening Physical Fatigue Severity

CONTEXT

Cognitive and physical fatigue are common symptoms experienced by oncology patients. Exposure to stressful life events (SLE), cancer-related stressors, coping styles, and levels of resilience may influence the severity of both dimensions of fatigue.

OBJECTIVES

Evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and coping in oncology patients (n=1332) with distinct cognitive fatigue AND evening physical fatigue profiles.

METHODS

Latent profile analysis, which combined the two symptom scores, identified three subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles (i.e., Low, Moderate, High). Patients completed measures of global, cancer-specific, and cumulative life stress as well measures of resilience and coping. Differences among the latent classes in the various measures were evaluated using parametric and nonparametric tests.

RESULTS

Compared to Low class, the other two classes reported higher global and cancer-specific stress. In addition, they reported higher occurrence rates for sexual harassment and being forced to touch prior to 16 years of age. Compared to the other two classes, High class reported lower resilience scores and higher use of denial, substance use, and behavioral disengagement.

CONCLUSION

To decrease both cognitive and evening physical fatigue, clinicians need to assess for relevant stressors and initiate interventions to increase resilience and the use of engagement coping strategies. Additional research is warranted on the relative contribution of various social determinants of health to both cognitive and physical fatigue in oncology patients receiving chemotherapy.