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美国感染性心内膜炎住院患者30天再入院的趋势及预测因素

Trends and Predictors of 30-day Readmission Among Patients Hospitalized with Infective Endocarditis in the United States.

作者信息

Pasupula Deepak Kumar, Bhat Anusha Ganapati, Siddappa Malleshappa Sudeep K, Lotfi Amir, Slawsky Mara, Buffer Sam, Pack Quinn, Saba Samir

机构信息

Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, USA.

Internal Medicine, Baystate Medical Center, Springfield, USA.

出版信息

Cureus. 2019 Jun 21;11(6):e4962. doi: 10.7759/cureus.4962.

Abstract

Background The incidence and 30-day readmission rates of patients with infective endocarditis (IE) are not fully determined. We used the United States Nationwide Readmission Database (NRD) to assess national trends and predictors of 30-day readmission. Methods We queried the NRD from 2010 to 2014 and identified patients with index hospitalizations primarily for IE. Univariate and multivariate logistic regression analyses were conducted to identify predictors of 30-day readmission. Results A total of 48,500 patients (mean age 58 ± 19 years; 38% women; 6.4% died during index hospitalization) were admitted for IE. There was an annual decrease in hospitalization rates by 1.5%. With an exception for 2014, subsequent 30-day readmission rates remained relatively unchanged. All-cause 30-day readmission occurred in 25.4% of patients, 21.8% of which were due to acute or subacute bacterial endocarditis. Leaving against medical advice (odds ratio (OR): 3.46, 95% CI: 3.12 - 3.84; P <0.001), history of drug abuse and a cardiac implantable electronic device in situ (OR: 2.17, 95% CI: 1.53 - 3.08; P <0.001), fungal IE (OR: 1.5, 95% CI: 1.28 - 1.76; P < 0.001), and uninsured patients (OR: 1.39, 95% CI: 1.12 - 1.74, P <0.001) were the strongest independent predictors of 30-day readmission. Readmission cost ($58 million annually) accounted for 14% of the total hospitalization cost. Conclusions The annual incidence of IE in the US decreased slightly from 2010 to 2014, but the 30-day readmission rates remained relatively unchanged. Addressing modifiable predictors of readmission may reduce the financial burden of IE on health care.

摘要

背景 感染性心内膜炎(IE)患者的发病率及30天再入院率尚未完全明确。我们利用美国全国再入院数据库(NRD)评估全国范围内的趋势及30天再入院的预测因素。方法 我们查询了2010年至2014年的NRD,并确定了主要因IE而进行首次住院治疗的患者。进行单因素和多因素逻辑回归分析以确定30天再入院的预测因素。结果 共有48500例患者(平均年龄58±19岁;38%为女性;6.4%在首次住院期间死亡)因IE入院。住院率每年下降1.5%。除2014年外,随后的30天再入院率相对保持不变。25.4%的患者发生了全因30天再入院,其中21.8%是由于急性或亚急性细菌性心内膜炎。擅自离院(比值比(OR):3.46,95%置信区间:3.12 - 3.84;P<0.001)、药物滥用史以及植入了心脏植入式电子设备(OR:2.17,95%置信区间:1.53 - 3.08;P<0.001)、真菌性IE(OR:1.5,95%置信区间:1.28 - 1.76;P<0.001)以及未参保患者(OR:1.39,95%置信区间:1.12 - 1.74,P<0.001)是30天再入院最强的独立预测因素。再入院费用(每年5800万美元)占总住院费用的14%。结论 2010年至2014年美国IE的年发病率略有下降,但30天再入院率相对保持不变。解决可改变的再入院预测因素可能会减轻IE给医疗保健带来的经济负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f8fd/6701895/f15c9ea3b1e9/cureus-0011-00000004962-i01.jpg

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