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Impact of risk factor control on peripheral artery disease outcomes and health disparities.
Pohlman, F Will; Ford, Cassie B; Weissler, E Hope; Smerek, Michelle M; Hardy, N Chantelle; Narcisse, Dennis I; Lippmann, Steven J; Greiner, Melissa A; Long, Chandler; Rymer, Jennifer A; Gutierrez, J Antonio; Patel, Manesh R; Jones, W Schuyler.
Afiliação
  • Pohlman FW; Duke University School of Medicine, Durham, NC, USA.
  • Ford CB; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Weissler EH; Division of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, USA.
  • Smerek MM; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Hardy NC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Narcisse DI; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Lippmann SJ; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Greiner MA; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Long C; Division of Vascular and Endovascular Surgery, Duke University School of Medicine, Durham, NC, USA.
  • Rymer JA; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Gutierrez JA; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Patel MR; Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Jones WS; Duke Clinical Research Institute, Durham, NC, USA.
Vasc Med ; 27(4): 323-332, 2022 08.
Article em En | MEDLINE | ID: mdl-35387516
ABSTRACT

BACKGROUND:

Peripheral artery disease (PAD) is associated with modifiable atherosclerotic risk factors like hypertension, diabetes, hyperlipidemia, and smoking. However, the effect of risk factor control on outcomes and disparities in achieving control is less well understood.

METHODS:

All patients in an integrated, regional health system with PAD-related encounters, fee-for-service Medicare, and clinical risk factor control data were identified. Component risk factors were dichotomized into controlled and uncontrolled categories (control defined as low-density lipoprotein < 100 mg/dL, hemoglobin A1c < 7.0%, SBP < 140 mmHg, and current nonsmoker) and composite categories (none, 1, ⩾ 2 uncontrolled RFs) created. The primary outcome was major adverse vascular events (MAVE, a composite of all-cause mortality, myocardial infarction, stroke, and lower-extremity revascularization and amputation).

RESULTS:

The cohort included 781 patients with PAD, average age 72.5 ± 9.8 years, of whom 30.1% were Black, and 19.1% were Medicaid dual-enrolled. In this cohort, 260 (33.3%) had no uncontrolled risk factors and 200 (25.6%) had two or more uncontrolled risk factors. Patients with the poorest risk factor control were more likely to be Black (p < 0.001), Medicaid dual-enrolled (p < 0.001), and have chronic limb-threatening ischemia (p = 0.009). Significant differences in MAVE by degree of risk factor control were observed at 30 days (none uncontrolled 5.8%, 1 uncontrolled 11.5%, ⩾ 2 uncontrolled 13.6%; p = 0.01) but not at 1 year (p = 0.08). risk factor control was not associated with outcomes at 1 year after adjustment for patient and PAD-specific characteristics.

CONCLUSIONS:

risk factor control is poor among patients with PAD. Significant disparities in achieving optimal risk factor control represent a potential target for reducing inequities in outcomes.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicare / Doença Arterial Periférica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicare / Doença Arterial Periférica Idioma: En Ano de publicação: 2022 Tipo de documento: Article