COVID-19 大流行期间出现的感染性心内膜炎:它们是否付出了难以计数的代价?

A. Elamragy, Ahmad Samir, Ahmed Maher, Hussein Rizk, Marwa Mashaal
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摘要

背景:COVID-19 导致所有医疗服务机构的医疗资源受到限制和重新分配。在疫情高峰期,几种毫不相关但却至关重要的疾病悄无声息地造成了损失。感染性心内膜炎(IE)由于其非特异性的临床表现,在很多病例中可能被误诊为 COVID-19:这项回顾性观察研究回顾了 COVID-19 高峰期一家大学医院感染性心内膜炎科的所有 IE 病例。我们将患者特征、病程和结果与 COVID 时代之前发布的 IE 数据库中的历史对照进行了比较。在本地区 COVID-19 高峰期(2021 年 6 月至 2022 年 6 月),我们发现了 30 例 IE 病例 [A 组],与通常的年发病率相比下降了 25%。这与大流行期间预计的病例激增形成鲜明对比。与 B 组(我们数据库中已公布的 398 例 IE 病例)相比,A 组从症状到发病的间隔时间明显更长(60 [31-92] 天 vs. 28 [14-72] 天,p = 0.01)。两组患者均以男性为主,但 A 组患者原有的结构性心脏病明显较少。尽管 COVID 时代更多使用经验性抗生素,但 A 组培养阴性 IE 的发生率较低。与 B 组相比,A 组对药物治疗的反应更好,动脉栓塞更少,手术指征更少,除急性肾损伤增加外,总体并发症更少。这可以用大量使用非甾体抗炎药来解释。数据分析有力地表明,可能存在一种自然选择或选择偏差,即具有良好特征的 IE 患者能够在大流行中存活下来,从而得到适当的诊断:结论:在 COVID-19 大流行期间,IE 诊断和开始适当检查的工作受到了严重影响。大流行期间 IE 转诊率的莫名下降和良好的治疗效果有力地证明了转诊偏差和自然选择的结果,即那些在大流行中幸存下来的 IE 患者得到了适当的 IE 诊断。
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Infective endocarditis presentations during the COVID-19 pandemic: Have they paid an untold toll?
Background: COVID-19 caused restrictions and re-allocation of medical resources among all healthcare services. During the peak of the pandemic, several unrelated–yet critical–conditions had silently taken their toll. Infective endocarditis (IE), owing to its non-specific clinical presentation, may have been largely mislabeled as COVID-19 in a number of cases. Results: This retrospective observational study reviewed all IE presentations at an IE unit in a university hospital during the peak of COVID-19. Patient characteristics, courses, and outcomes were compared with historical controls from our IE database published before the COVID era. We identified 30 IE cases [Group A] during the COVID-19 peak in our region (June 2021 to June 2022), with a 25% decrease compared to the usual annual rate. This is in contrast to the expected surge during the pandemic. Compared with group B (398 published IE cases from our database), group A had significantly longer symptoms-to-presentation intervals (60 [31–92] vs. 28 [14–72] days, p = 0.01). Male sex dominated both groups, but group A had significantly less pre-existing structural heart disease. Despite the more liberal use of empirical antibiotics in the COVID-era, group-A had lower rates of culture-negative IE. Compared to group B, group A demonstrated a better response to medical therapy, fewer arterial embolizations, fewer indications for surgery, and fewer overall complications, except for increased acute kidney injury. This can be explained by the abundant use of non-steroidal anti-inflammatory drugs. The data analysis strongly suggests that there might have been a natural selection or selection bias of IE patients with favorable profiles to survive the pandemic to the appropriate diagnosis. Conclusions: The diagnosis of IE and commencing the appropriate workup were significantly undermined during the COVID-19 pandemic. The inexplicable decline in IE referral rate and the favorable outcomes witnessed during the pandemic strongly suggest a referral bias and natural selection of those who survived the pandemic to the appropriate IE diagnosis.
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