Shifting in the settings of stroke fatalities during the COVID-19 pandemic
Abstract Body (Do not enter title and authors here): Introduction: Stroke-related mortality poses significant challenges in the US. Increased at-home deaths since COVID-19 pandemic prompted changes in the provision of end-of-life care. Question: What were the settings of stroke deaths in the US during COVID-19 pandemic? Methods: Decedent-level mortality data from death certificates in CDC repository were obtained for the year 2020 (pandemic) and 2019 (comparison).Demographic data include age, sex, race/ethnicity, education, marital status, and place of stroke death, including inpatient, outpatient/emergency room (ER), hospice/nursing facilities (H/NF), and at-home. Multivariable logistic regression models assessed demographic impact on stroke mortality by place-of-death, yielding odds ratios (OR) with significance threshold of p<0.05. Results: A total of 5,400 and 5,712 stroke-related deaths occurred in 2019 and 2020, respectively. During COVID-19, decedents >65 years were more likely to die in H/NF (OR 10.05, p<0.001) but less likely in outpatient/ER (OR 0.32, p<0.001) or at home (OR 0.57, p=0.007) compared to those <35 years. High education level did not significantly influence the place of death than having high school diploma or less (p>0.05). Males were more likely to die at home (OR 1.38, p<0.001) but less likely as inpatient (OR 0.79, p<0.001) than females. Hispanic decedents had a higher likelihood of inpatient death (OR 1.22, p=0.041) but less likely to die in H/NF (OR 0.55, p<0.001) compared to non-Hispanic decedents. Compared to White decedents, Black decedents were more likely to die in outpatient/ER (OR 1.44, p=0.018), while American Indian decedents were more likely to die as inpatient (OR 3.12, p=0.005). Asian/Pacific Islander decedents had a higher chance of inpatient death (OR 1.47, p=0.002) but a lower likelihood of dying in H/NF (OR 0.61, p=0.010). Married decedents were more likely than singles to die as inpatient (OR 1.37, p=0.001) or in outpatient/ER (OR 1.99, p<0.001), but less likely to die in H/NF (OR 0.61, p=0.002) or at home (OR 0.56, p<0.001). Conclusion: Our analysis revealed the influence of demographics on the settings of stroke fatalities during the COVID-19 pandemic. Further investigation is needed to determine contributing factors.
Pham, Hoang Nhat
( University of Arizona
, Tucson
, Arizona
, United States
)
Singh, Amitoj
( University of Arizona
, Tucson
, Arizona
, United States
)
Lee, Kwan
( Mayo Clinic Arizona
, Scottsdale
, Arizona
, United States
)
Shrourou, Farah
( University of Arizona
, Tucson
, Arizona
, United States
)
Olson, April
( University of Arizona
, Tucson
, Arizona
, United States
)
Alabagi, Abdulla
( University of Arizona
, Tucson
, Arizona
, United States
)
Habib, Adam
( University of Arizona
, Tucson
, Arizona
, United States
)
Terrani, Kristina
( University of Arizona
, Tucson
, Arizona
, United States
)
Beshai, Rafail
( Jefferson Health
, Stratford
, New Jersey
, United States
)
Elias, Tony
( Rowan-Virtua School of Osteopathic Medicine
, Stratford
, New Jersey
, United States
)
Ramzi, Ibrahim
( University of Arizona
, Tucson
, Arizona
, United States
)
Author Disclosures:
Hoang Nhat Pham:DO NOT have relevant financial relationships
| Amitoj Singh:DO NOT have relevant financial relationships
| Kwan Lee:DO NOT have relevant financial relationships
| Farah Shrourou:DO NOT have relevant financial relationships
| April Olson:No Answer
| Abdulla Alabagi:No Answer
| Adam Habib:No Answer
| Kristina Terrani:DO NOT have relevant financial relationships
| Rafail Beshai:No Answer
| Tony Elias:DO NOT have relevant financial relationships
| Ibrahim Ramzi:No Answer
Xu Xiaohong, Preeti Preeti, Yu Ruoying, Shaykhalishahi Hamed, Zhang Cheng, Shen Chuanbin, Li Bei, Tang Naping, Chang Yan, Xiang Qian, Cui Yimin, Lei Xi, Ni Heyu, Zhu Guangheng, Liu Zhenze, Hu Xudong, Slavkovic Sladjana, Neves Miguel, Ma Wenjing, Xie Huifang