Webb Martine, Brownell Nicholas K, Gabrielian Sonya, Fonarow Gregg C, Ziaeian Boback
Department of Internal Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA.
Division of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, CA.
J Card Fail. 2025 Mar;31(3):511-520. doi: 10.1016/j.cardfail.2024.06.005. Epub 2024 Jul 4.
How housing insecurity might affect patients with heart failure (HF) is not well characterized. Housing insecurity increases risks related to both communicable and noncommunicable diseases. For patients with HF, housing insecurity is likely to increase the risk for worse outcomes and rehospitalizations.
We analyzed hospitalizations due to HF in the United States by using the 2020 National Inpatient Sample and Nationwide Readmissions Database to evaluate the impacts of housing insecurity on HF outcomes and hospital use. Individuals were identified as having housing insecurity by using diagnostic International Classification of Disease (ICD)-10 codes. Demographics and comorbidities were compared between patients with HF with and without housing insecurity. An adjusted logistic regression was performed to evaluate the relationships between housing insecurity and socioeconomic status on in-hospital mortality. Using a Cox proportional hazards model, patients with HF and without housing insecurity were evaluated for the risk of all-cause and HF-specific readmissions over time. Of the 1,003,270 hospitalizations for HF in the U.S. in 2020, 16,150 were identified as having housing insecurity (1.6%), and 987,120 were identified as having no housing insecurity (98.4%). The median age of patients with housing insecurity who were hospitalized for HF was 57, as compared to 73 in the population with no housing insecurity. A higher proportion of patients in the housing-insecurity group were Black (35% vs 20.1%) or Hispanic (11.1% vs 7.3%). Patients with housing insecurity were more likely to carry a diagnosis of alcohol-use disorder (15.2% vs 3.3%) or substance-use disorder (70.2% vs 17.8%) but were less likely to use tobacco (18.3% vs 28.7%). Patients with housing insecurity were over 4.5 times more likely to have Medicaid (52.4% vs 11.3%). Median length of stay did not differ between patients with housing insecurity vs those without it. Patients with housing insecurity were more likely to discharge against medical advice (11.4% vs 2.03%). After adjusting for patients' characteristics, housing insecurity was associated with lower in-hospital mortality rates (OR 0.60, 95% CI 0.39-0.92). Housing insecurity was associated with a higher risk of all-cause readmissions at 180 days (HR 1.13, 95% CI 1.12-1.14). However, there was no significant difference in the risk of HF-specific readmissions at 180 days (HR 1.07, 95% CI 0.998-1.14) CONCLUSIONS: Patients with HF and housing insecurity have distinct demographic characteristics. They are also more likely to be readmitted after their initial hospitalization when compared to those without housing insecurity. Identifying and addressing specific comorbid conditions for patients with housing insecurity who are hospitalized for HF may allow clinicians to provide more focused care, with the goal of preventing morbidity, mortality and unnecessary readmissions.
住房不安全对心力衰竭(HF)患者可能产生的影响尚未得到充分描述。住房不安全会增加与传染病和非传染病相关的风险。对于HF患者,住房不安全可能会增加不良结局和再次住院的风险。
我们利用2020年全国住院患者样本和全国再入院数据库分析了美国因HF导致的住院情况,以评估住房不安全对HF结局和医院利用的影响。通过使用国际疾病分类(ICD)-10诊断代码来确定个体是否存在住房不安全。比较了有和没有住房不安全的HF患者的人口统计学和合并症情况。进行了调整后的逻辑回归分析,以评估住房不安全与社会经济地位对住院死亡率的关系。使用Cox比例风险模型,对没有住房不安全的HF患者进行了全因和HF特异性再入院风险随时间的评估。在2020年美国1,003,270例HF住院病例中,16,150例被确定存在住房不安全(1.6%),987,120例被确定不存在住房不安全(98.4%)。因HF住院的有住房不安全患者的中位年龄为57岁,而无住房不安全人群的中位年龄为73岁。住房不安全组中黑人(35%对20.1%)或西班牙裔(11.1%对7.3%)患者的比例更高。有住房不安全的患者更有可能被诊断为酒精使用障碍(15.2%对3.3%)或物质使用障碍(70.2%对17.8%),但吸烟的可能性较小(18.3%对28.7%)。有住房不安全的患者拥有医疗补助的可能性高出4.5倍多(52.4%对11.3%)。有住房不安全的患者与没有住房不安全的患者的中位住院时间没有差异。有住房不安全的患者更有可能违反医嘱出院(11.4%对2.03%)。在对患者特征进行调整后,住房不安全与较低的住院死亡率相关(比值比0.60,95%置信区间0.39 - 0.92)。住房不安全与180天时全因再入院的较高风险相关(风险比1.13,95%置信区间1.12 - 1.14)。然而,180天时HF特异性再入院的风险没有显著差异(风险比1.07,95%置信区间0.998 - 1.14)。结论:有住房不安全的HF患者具有独特的人口统计学特征。与没有住房不安全的患者相比,他们在初次住院后也更有可能再次入院。识别并解决因HF住院的有住房不安全患者的特定合并症,可能使临床医生能够提供更有针对性的护理,以预防发病、死亡和不必要的再入院。