Department of Medicine, West Virginia University, Morgantown, West Virginia.
Division of Cardiovascular Medicine, West Virginia University Heart & Vascular Institute, Morgantown, West Virginia; Division of Cardiovascular Medicine, University of California San Diego, La Jolla, California.
Am J Cardiol. 2020 Jun 1;125(11):1678-1687. doi: 10.1016/j.amjcard.2020.02.035. Epub 2020 Mar 16.
Infective Endocarditis (IE) is associated with high mortality and morbidity. The data on contemporary trends and health care utilization remain scarce for IE. Consequently, we used the National Inpatient Sample database from 2002 to 2016 to study burden of IE. Risk-adjusted rates were calculated using an Analysis of Covariance with the Generalized Linear Model. Trends were assessed with linear regression and Pearson's Chi-square modeling, where appropriate. Binomial logistic regression was used for computing predictors of in-hospital mortality. We identified 523,432 hospitalizations for native valve IE. Risk-adjusted mortality decreased from 16.7% in 2002 to 9.7% in 2016 (p <0.01). The risk-adjusted length of stay decreased from 17.4 days in 2002 to 13.4 days in 2016 (p <0.01). Mean cost of stay adjusted for risk factors and inflation increased from 112,702$ in 2002 to 164,767$ in 2016 (p <0.01). Valve replacement increased from 10.2% in 2002 in to 13.4% in 2016, (p <0.01). Independent predictors of mortality included age (OR, 1.02 [1.02 to 1.020], p <0.01), female gender (OR, 1.07 [1.05 to 1.09], p <0.01), Blacks (OR, 1.28 [1.24 to 1.31], p <0.01), Hispanics (OR, 1.15 [1.11 to 1.19], p <0.01) and patients with co-morbid conditions like congestive heart failure (OR, 1.78 [1.74 to 1.82], p <0.01), renal failure (OR, [1.69 [1.65 to 1.73], p <0.01) and weight loss (OR, 1.40 [1.36 to 1.43], p <0.01). In summary, in-hospital mortality from native valve IE has been decreasing but total hospitalization and average cost of stay has increased.
感染性心内膜炎(IE)与高死亡率和发病率相关。目前关于 IE 的趋势和医疗保健利用的数据仍然很少。因此,我们使用了 2002 年至 2016 年的国家住院患者样本数据库来研究 IE 的负担。使用协方差分析和广义线性模型计算风险调整率。适当情况下使用线性回归和 Pearson's Chi-square 模型评估趋势。二项逻辑回归用于计算住院死亡率的预测因子。我们确定了 523432 例原发性瓣膜 IE 住院患者。风险调整后的死亡率从 2002 年的 16.7%下降到 2016 年的 9.7%(p<0.01)。风险调整后的住院时间从 2002 年的 17.4 天缩短至 2016 年的 13.4 天(p<0.01)。调整危险因素和通货膨胀因素后的住院费用从 2002 年的 112702 美元增加到 2016 年的 164767 美元(p<0.01)。瓣膜置换术从 2002 年的 10.2%增加到 2016 年的 13.4%(p<0.01)。死亡率的独立预测因子包括年龄(OR,1.02 [1.02 至 1.020],p<0.01)、女性(OR,1.07 [1.05 至 1.09],p<0.01)、黑人(OR,1.28 [1.24 至 1.31],p<0.01)、西班牙裔(OR,1.15 [1.11 至 1.19],p<0.01)和伴有充血性心力衰竭(OR,1.78 [1.74 至 1.82],p<0.01)、肾功能衰竭(OR,[1.69 [1.65 至 1.73],p<0.01)和体重减轻(OR,1.40 [1.36 至 1.43],p<0.01)等合并症的患者。总之,原发性瓣膜 IE 的院内死亡率一直在下降,但总住院人数和平均住院费用有所增加。