Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
J Am Med Dir Assoc. 2023 Jun;24(6):855-861.e7. doi: 10.1016/j.jamda.2023.02.111. Epub 2023 Mar 9.
To examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with Alzheimer's disease and related dementias (ADRD).
Observational study.
National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533).
Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach.
We found higher risks of COVID-19-related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996-2.841), 64.7% (95% CI: 1.546-1.755), and 37.1% (95% CI: 1.192-1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors.
Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.
研究在患有阿尔茨海默病和相关痴呆症(ADRD)的老年人中,COVID-19 相关结局的风险因素及其与种族/民族的关联存在差异。
观察性研究。
本研究将 2020 年 4 月 1 日至 12 月 31 日期间的国家医疗保险索赔数据和最小数据集中的 3.0 链接在一起。我们纳入了患有 ADRD 的居住在社区、自费享受医疗保险的老年人,他们在 2020 年 4 月 1 日至 12 月 1 日期间被诊断患有 COVID-19(N=138533)。
本研究定义了两个结局变量:COVID-19 诊断后 14 天内住院和 30 天内死亡。我们根据医疗保险索赔和最小数据集获取了个体社会人口特征、慢性疾病和既往医疗保健利用情况的信息。基于机器学习方法,包括套索回归和判别模式挖掘,我们确定了种族/民族亚组(即白人、黑人、西班牙裔)中的风险因素。使用逻辑回归评估确定的风险因素与结局之间的关联,并使用系数比较方法比较不同种族/民族亚组之间的关联。
我们发现黑人、西班牙裔个体 COVID-19 相关结局的风险更高。具有确定风险因素的模型的曲线下面积(AUC)在种族/民族亚组之间为 0.65 至 0.68(死亡率)和 0.61 至 0.62(住院率)。虽然 COVID-19 相关结局的一些确定风险因素(如年龄、性别)在所有种族/民族亚组中都很常见,但其他风险因素(如高血压、肥胖)因种族/民族亚组而异。此外,一些常见风险因素与 COVID-19 相关结局之间的关联也因种族/民族而异。男性与西班牙裔、白人、黑人的死亡风险增加分别相关,其比值比(OR)分别为 138.2%(95%CI:1.996-2.841)、64.7%(95%CI:1.546-1.755)和 37.1%(95%CI:1.192-1.578)。此外,确定的风险因素无法完全解释 COVID-19 相关结局的种族/民族差异。
在 COVID-19 相关结局的可能性、特定风险因素以及特定风险因素与 COVID-19 相关结局之间的关系方面,检测到了种族/民族差异。需要进一步的研究来阐明这些差异的原因。