The Yale Roadmap for Health Psychology and Integrated Cardiovascular Care

Long-Term Mortality Predictors Using a Machine-Learning Approach in Patients With Chronic Limb-Threatening Ischemia After Peripheral Vascular Intervention

BACKGROUND

Patients with chronic limb-threatening ischemia (CLTI) face a high long-term mortality risk. Identifying novel mortality predictors and risk profiles would enable individual health care plan design and improved survival. We aimed to leverage a random survival forest machine-learning algorithm to identify long-term all-cause mortality predictors in patients with CLTI undergoing peripheral vascular intervention.

METHODS AND RESULTS

Patients with CLTI undergoing peripheral vascular intervention from 2017 to 2018 were derived from the Medicare-linked VQI (Vascular Quality Initiative) registry. We constructed a random survival forest to rank 66 preprocedural variables according to their relative importance and mean minimal depth for 3-year all-cause mortality. A random survival forest of 2000 trees was built using a training sample (80% of the cohort). Accuracy was assessed in a testing sample (20%) using continuous ranked probability score, Harrell C-index, and out-of-bag error rate. A total of 10 114 patients were included (mean±SD age, 72.0±11.0 years; 59% men). The 3-year mortality rate was 39.1%, with a median survival of 1.4 years (interquartile range, 0.7-2.0 years). The most predictive variables were chronic kidney disease, age, congestive heart failure, dementia, arrhythmias, requiring assisted care, living at home, and body mass index. A total of 41 variables spanning all domains of the biopsychosocial model were ranked as mortality predictors. The accuracy of the model was excellent (continuous ranked probability score, 0.172; Harrell C-index, 0.70; out-of-bag error rate, 29.7%).

CONCLUSIONS

Our random survival forest accurately predicts long-term CLTI mortality, which is driven by demographic, functional, behavioral, and medical comorbidities. Broadening frameworks of risk and refining health care plans to include multidimensional risk factors could improve individualized care for CLTI.

Psychological Health and Ischemic Heart Disease in Women: A Review of Current Evidence and Clinical Considerations across the Healthspan

PURPOSE OF REVIEW

Psychological health encompasses a constellation of negative and positive factors-i.e., psychosocial stress, depression, anxiety, trauma, loneliness and social isolation, anger and hostility, optimism, and a sense of purpose. This narrative review presents current evidence at the intersection of psychological health, risk of ischemic heart disease (IHD), and IHD-related outcomes, with an emphasis on associations in women.

RECENT FINDINGS

For women, relations between psychological health and IHD reflect important sex and gender differences in biological and psychosocial factors. Although efforts devoted to understanding psychological health and IHD risk have varied by psychological factor-scientific evidence is strongest for psychosocial stress and depression, while anxiety, trauma, and positive psychological factors warrant more investigation-less optimal psychological health is consistently associated with an earlier and greater risk of IHD morbidity and mortality in women. Still, many past prospective studies of psychological factors and IHD risk had a limited representation of women, did not include analyses by sex, or failed to account for other influential, sex-specific factors. Thus, there are multiple pathways for further, rigorous investigation into psychological health-IHD associations, mechanisms, and empirically supported psychological interventions to mitigate IHD risk among women. Given the robust evidence linking psychological health with women's risk for IHD, implementing routine, brief, psychological screening is recommended. Significant life events, developmental milestones specific to women, and IHD diagnoses or events could cue further psychological assessment and referral, efforts which will mutually strengthen the evidence for integrated psychological and IHD care and delivery of such care to this vulnerable group.

Association of depression and anxiety disorders with outcomes after revascularization in chronic limb-threatening ischemia hospitalizations nationwide

OBJECTIVE

Patients with chronic limb-threatening ischemia (CLTI), the end stage of peripheral artery disease, often present with comorbid depression and anxiety disorders. The prevalence of these comorbidities in the inpatient context over time, and their association with outcomes after revascularization and resource usage is unknown.

METHODS

Using the 2011 to 2017 National Inpatient Sample, two cohorts were created-CLTI hospitalizations with endovascular revascularization and CLTI hospitalizations with surgical revascularization. Within each cohort, the annual prevalence of depression and anxiety disorder diagnoses was determined, and temporal trends were evaluated using the Cochran-Mantel-Haenszel test. Hierarchical multivariable logistic and linear regression analyses were used to examine the association of depression and anxiety disorder diagnoses with inpatient major amputation, mortality, length of stay (LOS), and cost, adjusting for illness severity, comorbidities, and potential bias in the documentation of depression and anxiety disorder diagnoses stratified by patient sociodemographic data.

RESULTS

Across the study period were a total of 245,507 CLTI-related hospitalizations with endovascular revascularization and 138,922 with surgical revascularization. Hospitalizations with a depression or anxiety disorder diagnosis increased from 10.8% in 2011 to 15.3% in 2017 in the endovascular revascularization cohort and from 11.7% in 2011 to 14.4% in 2017 in the surgical revascularization cohort (P_trend < .001). In the endovascular revascularization cohort, depression was associated with higher odds of major amputation (odds ratio, 1.15; 95% confidence interval, 1.03-1.30). In addition, depression (9 vs 8 days [P < .001]; $105,754 vs $102,481 [P = .018]) and anxiety disorder (9 vs 8 days [P < .001]; $109,496 vs $102,324 [P < .001]) diagnoses were associated with a longer median LOS and higher median costs. In the surgical revascularization cohort, depression was associated with a higher odds of major amputation (odds ratio, 1.33; 95% confidence interval, 1.13-1.58) and a longer LOS (median, 9 vs 9 days; P = .004).

CONCLUSIONS

Depression and anxiety disorder diagnoses have become increasingly prevalent among CLTI hospitalizations including revascularizations. When present, these psychiatric comorbidities are associated with an increased risk of amputation and greater resource usage.

Screening for Psychological Distress and Risk of Cardiovascular Disease and Related Mortality: A SYSTEMATIZED REVIEW, META-ANALYSIS, AND CASE FOR PREVENTION

BACKGROUND

Psychological distress-elevated symptoms of depression, anxiety, post-traumatic stress disorder (PTSD), or psychosocial stress-has been associated with risk for cardiovascular disease (CVD). Despite increasing attention to the importance of these factors for CVD prevention, the state of this science requires updated synthesis to enable practice recommendations. Moreover, it is unknown whether psychological distress based on screeners, validated self-report instruments that efficiently identify those who may require mental health services or additional support, is associated with incident CVD.

METHODS

MEDLINE, Embase, and PsycInfo were searched for studies published 2017-2022, including adults without a past psychiatric diagnosis, who were screened at baseline for depression, anxiety, PTSD, stress, or general mental health symptoms, and followed for >6 mo to determine their risk for incident CVD (ie, atrial fibrillation, acute coronary syndrome, coronary heart disease, peripheral vascular disease, heart failure, or a composite). A meta-analysis was used to aggregate results to determine whether clinically significant levels of psychological distress were associated with CVD onset.

RESULTS

The search identified 28 investigations that represented 658 331 participants (58% women). Fifteen studies had adequate data for the primary meta-analysis, which indicated that those reporting high psychological distress showed a 28% greater risk of incident CVD compared with those with low or no distress.

CONCLUSIONS

Rapid screening for psychological distress is a helpful and efficient approach to understanding the CVD risk profile of an individual. Additional investigations are needed to improve prospective evidence concerning psychosocial stress. Conducting analyses by sex may better elucidate the benefits of psychological distress screening for men and women, respectively, and encourage more widespread adoption in CVD prevention.