The Development of a Chest-Pain Protocol for Women Presenting to the Emergency Department

Shahin Jaffer, Meagan Noble, Anita Pozgay,Varinder Randhawa,Martha Gulati, Emma Mensour, Nazli Parast, Nicole Tegg,Emilie Theberge, Elsa-Karine Harchaoui,Sharon L. Mulvagh

CJC OPEN(2024)

引用 0|浏览0
暂无评分
摘要
Cardiovascular disease (CVD) is the leading cause of death in women worldwide, and of premature death in women in Canada. Despite improvements in cardiovascular care over the past 15-20 years, acute coronary syndrome (ACS) and CVD mortality continue to increase among women in Canada. Chest pain is a common symptom leading to emergency department visits for both men and women. However, women with ACS experience worse outcomes. compared with those of men, due to misdiagnosis or lack of diagnosis resulting in delayed care and underuse of guideline -directed medical therapies. CVD mortality rates are highest in Indigenous and racialized women and those with a disproportionately high number of adverse social determinants of health. CVD remains underrecognized, underdiagnosed, undertreated, and underresearched in women. Moreover, a lack of awareness of unique symptoms, clinical presentations, and sex -and -gender specific CVD risk factors, by healthcare professionals, leads to outcome disparities. In response to this knowledge gap, in acute recognition and management of chest -pain syndromes in women, the Canadian Women's Heart Health Alliance performed a needs assessment and review of CVD risk factors and ACS pathophysiology, through a sex and gender lens, and then developed a unique chest -pain assessment protocol utilizing modified dynamic programming algorithmic methodology. The resulting algorithmic protocol is presented. The output is intended as a quick reference algorithm that could be posted in emergency departments and other acute -care settings. Next steps include protocol implementation evaluation and impact assessment on CVD outcomes in women.
更多
查看译文
关键词
ACS,ASCVD,CAD,CVD,CWHHA,DM,ECG,ED,hs-cTn,HTN,MI,MINOCA,NSTEACS,PCOS,PPCI,SA,SCAD,SDOH,STEMI
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要