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1.
Circ Cardiovasc Qual Outcomes ; 17(5): e010791, 2024 May.
Artículo en Inglés | MEDLINE | ID: mdl-38618717

RESUMEN

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.


Asunto(s)
Registros Electrónicos de Salud , Equidad en Salud , Disparidades en Atención de Salud , Indicadores de Calidad de la Atención de Salud , Determinantes Sociales de la Salud , Humanos , Indicadores de Calidad de la Atención de Salud/normas , Disparidades en Atención de Salud/normas , Registros Electrónicos de Salud/normas , Equidad en Salud/normas , Mejoramiento de la Calidad/normas , Justicia Social , Diversidad Cultural , Disparidades en el Estado de Salud , Inclusión Social , Estados Unidos , Diversidad, Equidad e Inclusión
2.
JACC Case Rep ; 27: 102072, 2023 Dec 06.
Artículo en Inglés | MEDLINE | ID: mdl-38094732

RESUMEN

A 37-year-old gravida 5, para 3 woman presented with an unplanned pregnancy 6 weeks after experiencing a cardiac arrest caused by ventricular fibrillation from coronary vasospasm. She opted to continue the pregnancy with medical management despite ongoing chest pain and delivered a healthy female infant via vaginal delivery at 37 weeks.

3.
J Cardiovasc Dev Dis ; 9(11)2022 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-36421929

RESUMEN

Maternal mortality in the United States is a public health crisis of preventable deaths among young women. The role of echocardiography in the evaluation of pregnant women with cardiovascular symptoms or risk factors without known heart disease is unclear. We retrospectively examined the clinical characteristics of consecutive pregnant patients without established heart disease who underwent echocardiography and evaluated associations between abnormal exam findings and obstetric outcomes. Among low-risk women undergoing echocardiography during pregnancy, older age, higher parity and a history of chronic hypertension are associated with a higher likelihood of echocardiographic abnormalities, which in turn are associated with a higher likelihood of adverse obstetric outcomes including caesarean section and preterm delivery.

4.
Am Heart J Plus ; 6: 100018, 2021 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-34095889

RESUMEN

BACKGROUND: Coronavirus disease 2019 (COVID-19) can cause cardiac injury resulting in abnormal right or left ventricular function (RV/LV) with worse outcomes. We hypothesized that two-dimensional (2D) speckle-tracking assessment of LV global longitudinal strain (GLS) and RV free wall strain (FWS) by transthoracic echocardiography can assist as markers for subclinical cardiac injury predicting increased mortality. METHODS: We performed 2D strain analysis via proprietary software in 48 patients hospitalized with COVID-19. Clinical information, demographics, comorbidities, and lab values were collected via retrospective chart review. The primary outcome was in-hospital mortality based on an optimized abnormal LV GLS value via ROC analysis and RV FWS. RESULTS: The optimal LV GLS cutoff to predict death was -13.8%, with a sensitivity of 85% (95% CI 55-98%) and specificity of 54% (95% CI 36-71%). Abnormal LV GLS >-13.8% was associated with a higher risk of death [unadjusted hazard ratio 5.15 (95% CI 1.13-23.45), p = 0.034], which persisted after adjustment for clinical variables. Among patients with LV ejection fraction (LVEF) >50%, those with LV GLS > -13.8% had higher mortality compared to those with LV GLS <-13.8% (41% vs. 10%, p = 0.030). RV FWS value was higher in patients with LV GLS >-13.8% (-13.7 ±â€¯5.9 vs. -19.6 ±â€¯6.7, p = 0.003), but not associated with decreased survival. CONCLUSION: Abnormal LV strain with a cutoff of >-13.8% in patients with COVID-19 is associated with significantly higher risk of death. Despite normal LVEF, abnormal LV GLS predicted worse outcomes in patients hospitalized with COVID-19. There was no mortality difference based on RV strain.

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