Disparities in Peripheral Artery Disease Hospitalizations Identified Among Understudied Race-Ethnicity Groups

2024 ACC/AHA/AACVPR/APMA/ABC/SCAI/SVM/SVN/SVS/SIR/VESS Guideline for the Management of Lower Extremity Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines

AIM

The "2024 ACC/AHA/AACVPR/APMA/ABC/SCAI/SVM/SVN/SVS/SIR/VESS Guideline for the Management of Lower Extremity Peripheral Artery Disease" provides recommendations to guide clinicians in the treatment of patients with lower extremity peripheral artery disease across its multiple clinical presentation subsets (ie, asymptomatic, chronic symptomatic, chronic limb-threatening ischemia, and acute limb ischemia).

METHODS

A comprehensive literature search was conducted from October 2020 to June 2022, encompassing studies, reviews, and other evidence conducted on human subjects that was published in English from PubMed, EMBASE, the Cochrane Library, CINHL Complete, and other selected databases relevant to this guideline. Additional relevant studies, published through May 2023 during the peer review process, were also considered by the writing committee and added to the evidence tables where appropriate.

STRUCTURE

Recommendations from the "2016 AHA/ACC Guideline on the Management of Patients With Lower Extremity Peripheral Artery Disease" have been updated with new evidence to guide clinicians. In addition, new recommendations addressing comprehensive care for patients with peripheral artery disease have been developed.

Diversity in randomized clinical trials for peripheral artery disease: a systematic review

BACKGROUND

Significant race and sex disparities exist in the prevalence, diagnosis, and outcomes of peripheral artery disease (PAD). However, clinical trials evaluating treatments for PAD often lack representative patient populations. This systematic review aims to summarize the demographic representation and enrollment strategies in clinical trials of lower-extremity endovascular interventions for PAD.

METHODS

Following the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched multiple sources (Medline, EMBASE, Cochrane, Clinicaltrials.gov, WHO clinical trial registry) for randomized controlled trials (RCTs), RCT protocols, and peer-reviewed journal publications of RCTs conducted between January 2012 and December 2022. Descriptive analysis was used to summarize trial characteristics, publication or study protocol characteristics, and the reporting of demographic characteristics. Meta-regression was used to explore associations between demographic characteristics and certain trial characteristics.

RESULTS

A total of 2,374 records were identified. Of these, 59 met the inclusion criteria, consisting of 35 trials, 14 publications, and 10 protocols. Information regarding demographic representation was frequently missing. While all 14 trial publications reported age and sex, only 4 reported race/ethnicity, and none reported socioeconomic or marital status. Additionally, only 4 publications reported clinical outcomes by demographic characteristics. Meta-regression analysis revealed that 6% more women were enrolled in non-European trials (36%) than in European trials (30%).

CONCLUSIONS

The findings of this review highlight potential issues that may compromise the reliability and external validity of study findings in lower-extremity PAD RCTs when applied to the real-world population. Addressing these issues is crucial to enhance the generalizability and impact of clinical trial results in the field of PAD, ultimately leading to improved clinical outcomes for patients in underrepresented populations.

REGISTRATION

The systematic review methodology was published in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022378304).

Investigating the impact of suboptimal prescription of preoperative antiplatelets and statins on race and ethnicity-related disparities in major limb amputation

BACKGROUND

Non-Hispanic Black and Hispanic patients with symptomatic PAD may receive different treatments than White patients with symptomatic PAD. The delivery of guideline-directed medical treatment may be a modifiable upstream driver of race and ethnicity-related disparities in outcomes such as limb amputation. The purpose of our study was to investigate the prescription of preoperative antiplatelets and statins in producing disparities in the risk of amputation following revascularization for symptomatic peripheral artery disease (PAD).

METHODS

We used data from the Vascular Quality Initiative, a vascular procedure-based registry in the United States (2011-2018). We estimated the probability of preoperative antiplatelet and statin prescriptions and 1-year incidence of amputation. We then estimated the amputation risk difference between race/ethnicity groups that could be eliminated under a hypothetical intervention.

RESULTS

Across 100,579 revascularizations, the 1-year amputation risk was 2.5% (2.4%, 2.6%) in White patients, 5.3% (4.9%, 5.6%) in Black patients, and 5.3% (4.7%, 5.9%) in Hispanic patients. Black (57.5%) and Hispanic patients (58.7%) were only slightly less likely than White patients (60.9%) to receive antiplatelet and statin therapy. However, the effect of antiplatelets and statins was greater in Black and Hispanic patients such that, had all patients received these medications, the estimated risk difference comparing Black to White patients would have reduced by 8.9% (-2.9%, 21.9%) and the risk difference comparing Hispanic to White patients would have been reduced by 17.6% (-0.7%, 38.6%).

CONCLUSION

Even though guideline-directed care appeared evenly distributed by race/ethnicity, increasing access to such care may decrease health care disparities in major limb amputation.

Diversity in clinical trial inclusion for peripheral artery disease lower extremity endovascular interventions: a systematic review protocol

Aim: This review provides a study protocol for a systematic review of peripheral artery disease (PAD) clinical trials to examine the eligibility criteria, demographic representation, and enrollment strategies among PAD patients undergoing lower extremity (LE) endovascular interventions. Methods: This systematic review will be conducted according to the Cochrane Collaboration methodology for systematic reviews and following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P). Eligible studies will include randomized controlled trials (RCTs) between January 2012 and December 2022. The primary outcome will be a description and summary of the frequency of the reporting of demographic characteristics. The feasibility of a meta-analysis or meta-regression will be explored, but if determined to be infeasible, the Synthesis Without Meta-analysis (SWiM) reporting guideline will be followed for the reporting of findings. Discussion: The findings may help to quantify existing inequities in clinical trial participation that may be addressed through optimizing enrollment strategies for future PAD trials. Systematic review registration: PROSPERO (CRD42022378304).

Health Disparities in Peripheral Artery Disease: A Scientific Statement From the American Heart Association

Peripheral artery disease (PAD) affects 200 million individuals worldwide. In the United States, certain demographic groups experience a disproportionately higher prevalence and clinical effect of PAD. The social and clinical effect of PAD includes higher rates of individual disability, depression, minor and major limb amputation along with cardiovascular and cerebrovascular events. The reasons behind the inequitable burden of PAD and inequitable delivery of care are both multifactorial and complex in nature, including systemic and structural inequity that exists within our society. Herein, we present an overview statement of the myriad variables that contribute to PAD disparities and conclude with a summary of potential novel solutions.

Mortality differences by race over 20 years in individuals with peripheral artery disease

INTRODUCTION

Racial disparities exist in patients with peripheral artery disease (PAD), with Black individuals having worse PAD-specific outcomes. However, mortality risk in this population has been mixed. As such, we sought to evaluate all-cause mortality by race among individuals with PAD.

METHODS

We analyzed data from the National Health and Nutrition Examination Survey (NHANES). Baseline data were obtained from 1999 to 2004. Patients with PAD were grouped according to self-reported race. Multivariable Cox proportional hazards regression was performed to calculate adjusted hazard ratios (HR) by race. A separate analysis was performed to study the effect of burden of social determinants of health (SDoH) on all-cause mortality.

RESULTS

Of 647 individuals identified, 130 were Black and 323 were White. Black individuals had more premature PAD (30% vs 20%, p < 0.001) and a higher burden of SDoH compared to White individuals. Crude mortality rates were higher in Black individuals in the 40-49-year and 50-69-year age groups compared to White individuals (6.7% vs 6.1% and 8.8% vs 7.8%, respectively). Multivariable analysis demonstrated that Black individuals with both PAD and coronary artery disease (CAD) had a 30% higher hazard of death over 20 years compared to White individuals (HR = 1.3, 95% CI: 1.0-2.1). The cumulative burden of SDoH marginally (10-20%) increased the risk of all-cause mortality.

CONCLUSIONS

In a nationally representative sample, Black individuals with PAD and CAD had higher rates of mortality compared to their White counterparts. These findings add further proof to the ongoing racial disparities among Black individuals with PAD and highlight the necessity to identify ways to mitigate these differences.

Real-World Racial Variation in Treatment and Outcomes Among Patients with Peripheral Artery Disease

INTRODUCTION

Prior studies have found considerable disparities in prevalence and outcomes for patients with peripheral arterial disease (PAD). This study compared rates of diagnostic testing, treatment patterns, and outcomes after diagnosis of PAD among commercially insured Black and White patients in the United States.

METHODS

Optum's de-identified Clinformatics® Data Mart Database (1/2016-6/2021) were used to identify Black and White patients with PAD; first PAD diagnosis was deemed study index date. Baseline demographics, markers of disease severity, and healthcare costs were compared between cohorts. Patterns of medical management and rates of major adverse limb events (MALE; including acute or chronic limb ischemia, lower-limb amputation) and cardiovascular (CV) events (stroke, myocardial infarction) during the available follow-up period were described. Outcomes were compared between cohorts using multinomial logistic regression models, Kaplan-Meier survival analysis, and Cox proportional hazards models.

RESULTS

A total of 669,939 patients were identified, with 454,382 White patients and 96,162 Black patients. Black patients were younger on average (71.8 years vs. 74.2 years), but had higher comorbid burden, concomitant risk factors, and CV medication use at baseline. Prevalence of diagnostic testing, revascularization procedures, and medication use was numerically higher among Black patients. Black patients were also more likely than the White patients to receive medical therapy without a revascularization procedure [adjusted odds ratio with 95% confidence interval (CI) = 1.47 (1.44-1.49)]. However, Black patients with PAD had higher incidence of MALE and CV events than White patients [adjusted hazard ratio for composite event (95% CI) = 1.13, (1.11-1.15)]. Except myocardial infarction, the hazards of individual components of MALE and CV events were also significantly higher among Black patients with PAD.

CONCLUSIONS

Results of this real-world study suggest that Black patients with PAD have higher disease severity at the time of diagnosis and are at increased risk of experiencing adverse outcomes following diagnosis.

Development and validation of a prediction model for the prolonged length of stay in Chinese patients with lower extremity atherosclerotic disease: a retrospective study

OBJECTIVES

This study aims to develop and internally validate a prediction model, which takes account of multivariable and comprehensive factors to predict the prolonged length of stay (LOS) in patients with lower extremity atherosclerotic disease (LEAD).

DESIGN

This is a retrospective study.

SETTING

China.

PARTICIPANTS, PRIMARY AND SECONDARY OUTCOMES

Data of 1694 patients with LEAD from a retrospective cohort study between January 2014 and November 2021 were analysed. We selected nine variables and created the prediction model using the least absolute shrinkage and selection operator (LASSO) regression model after dividing the dataset into training and test sets in a 7:3 ratio. Prediction model performance was evaluated by calibration, discrimination and Hosmer-Lemeshow test. The effectiveness of clinical utility was estimated using decision curve analysis.

RESULTS

LASSO regression analysis identified age, gender, systolic blood pressure, Fontaine classification, lesion site, surgery, C reactive protein, prothrombin time international normalised ratio and fibrinogen as significant predictors for predicting prolonged LOS in patients with LEAD. In the training set, the prediction model showed good discrimination using a 500-bootstrap analysis and good calibration with an area under the receiver operating characteristic of 0.750. The Hosmer-Lemeshow goodness of fit test for the training set had a p value of 0.354. The decision curve analysis showed that using the prediction model both in training and tests contributes to clinical value.

CONCLUSION

Our prediction model is a valuable tool using easily and routinely obtained clinical variables that could be used to predict prolonged LOS in patients with LEAD and help to better manage these patients in routine clinical practice.

Machine Learning Approach to Predict In-Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States

Background Peripheral artery disease (PAD) affects >10 million people in the United States. PAD is associated with poor outcomes, including premature death. Machine learning (ML) has been increasingly used on big data to predict clinical outcomes. This study aims to develop ML models to predict in-hospital mortality in patients hospitalized for PAD based on a national database. Methods and Results Inpatient hospitalization data were obtained from the 2016 to 2019 National Inpatient Sample. A total of 150 921 inpatients were identified with a primary diagnosis of PAD and PAD-related procedures using codes of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and International Classification of Diseases, Tenth Revision, Procedure Coding System (ICD-10-PCS). Four ML models, including logistic regression, random forest, light gradient boosting, and extreme gradient boosting models, were trained to predict the risk of in-hospital death based on a selection of variables, including patient characteristics, comorbidities, procedures, and hospital-related factors. In-hospital mortality occurred in 1.8% of patients. The performance of the 4 models was comparable, with the area under the receiver operating characteristic curve ranging from 0.83 to 0.85, sensitivity of 77% to 82%, and specificity of 72% to 75%. These results suggest adequate predictability for clinical decision-making. In all 4 models, the total number of diagnoses and procedures, age, endovascular revascularization procedure, congestive heart failure, diabetes, and diabetes with complications were critical predictors of in-hospital mortality. Conclusions This study demonstrates the feasibility of ML in predicting in-hospital mortality in patients with a primary PAD diagnosis. Findings highlight the potential of ML models in identifying high-risk patients for poor outcomes and guiding personalized intervention.

A systematic review of racial/ethnic disparities in pharmacotherapy and surgical treatment outcomes in peripheral arterial disease among African American/non-Hispanic Black, non-Hispanic White and Hispanic patients

Background

Lower extremity peripheral arterial disease (PAD) is associated with significant morbidity and mortality in racial/ethnic diverse populations. However, limited data exist on treatment outcome disparities in racial/ethnic diverse populations, particularly in AA/NHB populations.

Objective

The aim of this systematic review is to analyze disparities in the outcomes of PAD treatments, particularly pharmacotherapy and surgery, among racial/ethnic groups in the US.

Methods

A comprehensive search of original investigations pertaining to PAD treatments between 2015 and 2021 was performed. Quality assessment of the studies was also completed.

Results

Fourteen studies were included. Thirteen studies reported differences in treatment outcomes for surgical intervention, and one study reported differences for concurrent surgical and pharmacotherapy. NHB and Hispanic/Latinx ethnicities were associated with decreased overall and perioperative mortality in four studies. Six studies noted increased amputation risk among racial/ethnic diverse populations. Only one study noted significant survival benefit by race/ethnicity. Three studies noted increased risk of major adverse limb events and post-operative complications. One study noted increased limb patency after intervention in racial/ethnic cohorts. Overall, all studies reported high methodological quality with adequate assessment of outcomes and follow-up of cohort.

Conclusion

In this analysis, the predominant intervention reported is surgical. Overall, racial/ethnic populations are less likely to experience PAD-associated mortality but are more likely to experience adverse events. Further studies are necessary to include all racial/ethnic diverse populations in assessing PAD therapeutic intervention outcomes. Moreover, targeted public health efforts are necessary to increase PAD educational awareness, community-driven risk modification, and patient-centered care planning.

The Differential Impact of Medicaid Expansion on Disparities in Outcomes Following Peripheral Vascular Intervention

OBJECTIVES

Peripheral artery disease (PAD) disproportionately affects nonwhite, Hispanic/Latino, and low socioeconomic status patients, who are less likely to have insurance and routine healthcare visits. Medicaid expansion (ME) has improved insurance rates and access to care, potentially benefitting these patients. We sought to assess the impact of ME on disparities in outcomes after peripheral vascular intervention (PVI) for PAD.

METHODS

A retrospective analysis of prospectively-collected Vascular Quality Initiative PVI procedures between 2011-2019 was conducted. The sample was restricted to first-record procedures in adults under age 65 in states that expanded Medicaid on 1/1/2014 (ME group) or had not expanded before 1/1/2019 (non-expansion [NE] group). ME and NE groups were compared between pre-expansion (2011-2013) and post-expansion (2014-2019) time periods to assess baseline demographic and operative differences. We used difference-in-differences multivariable logistic regression adjusted for patient factors and clinical center and year fixed effects. Our primary outcome was one-year major amputation. Secondary outcomes included trends in presentation, 30-day mortality, one-year mortality, and one-year primary and secondary patency. Outcomes were stratified by race and ethnicity.

RESULTS

We examined 34,313 PVI procedures, including 20,378 with follow up data. Rates of Medicaid insurance increased post-expansion in ME and NE states (ME 16.7% to 23.0%, p<0.001; NE 10.0% to 11.9%, p=0.013) while rates of self-pay decreased in ME states only (ME 4.6% to 1.8%, p<0.001; NE 8.1% to 8.4%, p=0.620). Adjusted difference-in-differences analysis revealed lower odds of urgent/emergent PVI among all patients and among nonwhite patients in ME states post-expansion compared to NE states (all: odds ratio [OR] 0.53 [95% confidence interval 0.33-0.87], p=0.011; nonwhite: OR 0.41 [0.19-0.88], p=0.023). No differences were observed for one-year major amputation (OR 0.70 [0.43-1.14], p=0.152), primary patency (OR 0.93 [0.63-1.38], p=0.726), or secondary patency (OR 1.29 [0.69-2.41], p=0.431). Odds of one-year mortality were higher in ME states post-expansion compared to NE states (OR 2.50 [1.07-5.87], p=0.035), although 30-day mortality was not different (OR 2.04 [0.60-6.90], p=0.253). Notably, odds of one-year major amputation among Hispanic/Latino patients decreased in ME states post-expansion compared to NE states (OR 0.11 [0.01-0.86], p=0.036).

CONCLUSIONS

ME was associated with lower odds of one-year major amputation among Hispanic/Latino patients who underwent PVI for PAD. ME was also associated with lower odds of urgent/emergent procedures among patients overall and nonwhite patients specifically. However, one-year mortality increased in the overall cohort. Further study is needed to corroborate our findings that ME may have benefits for certain underserved populations with PAD.

Orthopedic Surgery Referral Pattern Analysis per Demographic Factors Among Patients Diagnosed With Severe Peripheral Artery Disease in Terms of Partial or Total Limb Amputation

Introduction: Peripheral artery disease (PAD) signifies the obstruction of blood vessels in the lower extremities due to harmful buildup of fatty material. Patients may present to their primary care provider complaining of lower extremity pain, especially during exercise. Primary care providers must weigh the severity of patients’ disease process to determine if an orthopedic surgery referral is needed based on an extensive history as well as analysis of demographic factors that may influence their risk of morbidity and mortality. We aimed to objectively present these demographic factors with numeric values in terms of influence.

Methods: We utilized the Cerner Health Facts database to analyze 63 million unique patient encounters from 2000 to 2018. The database is categorized as Institutional Review Board (IRB) exempt due to its de-identified presentation. In an outcome-based approach, we were able to calculate referral patterns based on entered demographic parameters.

Results: A patient’s age, census region, marital status, previous history of PAD/critical limb ischemia (CLI), history of surgeries, race, facility type, and urban/rural status presented as predictors of seeing a surgeon during a patient encounter.

Conclusion: Our results found numerous aforementioned demographic factors to be associated with orthopedic surgery referral patterns. This is significant as proper reconciliation of these factors may help reduce patient morbidity in terms of amputation reduction and reduce patient mortality associated with this surgery or complications.