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感染性心内膜炎——住院死亡率的预测因素,保加利亚单中心17年经验

Infective Endocarditis-Predictors of In-Hospital Mortality, 17 Years, Single-Center Experience in Bulgaria.

作者信息

Dobreva-Yatseva Bistra, Nikolov Fedya, Raycheva Ralitsa, Tokmakova Mariya

机构信息

Section of Cardiology Cardiology Clinic, First Department of Internal Medicine, Faculty of Medicine, Medical University-Plovdiv, UMBAL "St. Georgi" EAD, 4000 Plovdiv, Bulgaria.

Department of Social Medicine and Public Health, Faculty of Public Health, Medical University-Plovdiv, 4000 Plovdiv, Bulgaria.

出版信息

Microorganisms. 2024 Sep 21;12(9):1919. doi: 10.3390/microorganisms12091919.

Abstract

Despite enormous developments in medicine, infective endocarditis (IE) remains an ongoing issue for physicians due to increased morbidity and persistently high mortality. Our goal was to assess clinical outcomes in patients with IE and identify determinants of in-hospital mortality. Material and methods: The analysis was retrospective, single-centered, and comprised 270 patients diagnosed with IE from 2005 to 2021 (median age 65 (51-74), male 177 (65.6%). Native IE (NVIE) was observed in 180 (66.7%), prosthetic IE (PVIE) in 88 (33.6%), and cardiac device-related IE (CDRIE) in 2 (0.7%), with non-survivors having much higher rates. Healthcare-associated IE (HAIE) was 72 (26.7%), Staphylococci were the most prevalent pathogen, and the proportion of Gram-negative bacteria (GNB) non-HACEK was significantly greater in non-survivors than survivors (11 (15%) vs. 9 (4.5%), = 0.004). Overall, 54 (20%) patients underwent early surgery, with a significant difference between dead and alive patients (3 (4.5%) vs. 51 (25.1%, = 0.000). The overall in-hospital mortality rate was 24.8% (67). Logistic regression was conducted on the total sample ( = 270) for the period 2005-2021, as well as the sub-periods 2005-2015 ( = 119) and 2016-2021 ( = 151), to identify any differences in the trend of IE. For the overall group, the presence of septic shock (OR-83.1; 95% CI (17.0-405.2), = 0.000) and acute heart failure (OR-24.6; 95% CI (9.2-65.0), = 0.000) increased the risk of mortality. Early surgery (OR-0.03, 95% CI (0.01-0.16), = 0.000) and a low Charlson comorbidity index (OR-0.85, 95% CI (0.74-0.98, = 0.026) also lower this risk. Between 2005 and 2015, the presence of septic shock (OR 76.5, 95% CI 7.11-823.4, = 0.000), acute heart failure (OR-11.5, 95% CI 2.9-46.3, = 0.001), and chronic heart failure (OR-1.3, 95% CI 1.1-1.8, = 0.022) enhanced the likelihood of a fatal outcome. Low Charlson index comorbidity (CCI) lowered the risk (OR-0.7, 95% CI 0.5-0.95, = 0.026). For the period 2016-2021, the variable with the major influence for the model is the failure to perform early surgery in indicated patients (OR-240, 95% CI 23.2-2483, = 0.000) followed by a complication of acute heart failure (OR-72.2, 95% CI 7.5-693.6. = 0.000), septic shock (OR-17.4, 95% CI 2.0-150.8, = 0.010), previous stroke (OR-9.2, 95% CI 1.4-59.4, = 0.020) and low ejection fraction (OR-1.1, 95% CI 1.0-1.2, = 0.004). Conclusions: Knowing the predictors of mortality would change the therapeutic approach to be more aggressive, improving the short- and long-term prognosis of IE patients.

摘要

尽管医学取得了巨大进展,但由于发病率上升和死亡率持续居高不下,感染性心内膜炎(IE)仍然是医生面临的一个持续存在的问题。我们的目标是评估IE患者的临床结局,并确定院内死亡的决定因素。材料和方法:本分析为回顾性、单中心研究,纳入了2005年至2021年诊断为IE的270例患者(中位年龄65岁(51 - 74岁),男性177例(65.6%))。观察到180例(66.7%)为自体瓣膜心内膜炎(NVIE),88例(33.6%)为人工瓣膜心内膜炎(PVIE),2例(0.7%)为心脏装置相关心内膜炎(CDRIE),非幸存者的比例更高。医疗保健相关IE(HAIE)为72例(26.7%),葡萄球菌是最常见的病原体,非幸存者中革兰氏阴性菌(GNB)非HACEK的比例显著高于幸存者(11例(15%)对9例(4.5%),P = 0.004)。总体而言,54例(20%)患者接受了早期手术,死亡患者和存活患者之间存在显著差异(3例(4.5%)对51例(25.1%),P = 0.000)。总体院内死亡率为24.8%(67例)。对2005 - 2021年的总样本(n = 270)以及2005 - 2015年(n = 119)和2016 - 2021年(n = 151)的子样本进行逻辑回归,以确定IE趋势的任何差异。对于总体组,感染性休克(OR = 83.1;95%置信区间(17.0 - 405.2),P = 0.000)和急性心力衰竭(OR = 24.6;95%置信区间(9.2 - 65.0),P = 0.000)会增加死亡风险。早期手术(OR = 0.03,95%置信区间(0.01 - 0.16),P = 0.000)和低Charlson合并症指数(OR = 0.85,95%置信区间(0.74 - 0.98),P = 0.026)也会降低这种风险。在2005年至2015年期间,感染性休克(OR 76.5,95%置信区间7.11 - 823.4,P = 0.000)、急性心力衰竭(OR = 11.5,95%置信区间2.9 - 46.3,P = 0.001)和慢性心力衰竭(OR = 1.3,95%置信区间1.1 - 1.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86b7/11434097/28d5cbbed892/microorganisms-12-01919-g001.jpg

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