Candidemia in the Dominican Republic: species distribution, resistance, clinical characteristics, and outcomes at a tertiary care hospital.

IF 2.2 4区 医学 Q3 INFECTIOUS DISEASES
Rita Rojas-Fermín, Javier Rojas-Jiménez, Marlon Rojas-Jimenez, Anel Guzmán-Marte, Ann Sánchez, Alfredo J Mena Lora
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引用次数: 0

Abstract

Bloodstream infections (BSIs) caused by Candida are a significant cause of morbidity and mortality. Geographical variations exist in the epidemiology of candidemia, with a paucity of data in the many low- and middle-income countries. We performed a retrospective study of candidemia from 2017 to 2022 at a 289-bed teaching hospital in the Dominican Republic (DR). A total of 197 cases were reviewed. Overall mortality rate was 49.2%. Age and vasopressor use were associated with mortality. The most prevalent Candida species were C. tropicalis and C. parapsilosis. C. albicans was 12% resistance to amphotericin B. These findings underscore the importance of understanding local epidemiology and may help inform empiric therapy and the development of treatment guidelines in the DR.

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多米尼加共和国的念珠菌:在三级保健医院的种类分布、耐药性、临床特征和结果
念珠菌引起的血流感染(bsi)是发病率和死亡率的重要原因。念珠菌的流行病学存在地理差异,许多低收入和中等收入国家缺乏数据。我们在多米尼加共和国(DR)一家289张床位的教学医院对2017年至2022年的念珠菌进行了回顾性研究。共审查了197个案例。总死亡率为49.2%。年龄和血管加压剂的使用与死亡率相关。最常见的念珠菌种为热带念珠菌(C. tropical)和副念珠菌(C. parapsilosis)。白色念珠菌对两性霉素b的耐药率为12%。这些发现强调了了解当地流行病学的重要性,并可能有助于为DR提供经验性治疗和制定治疗指南。
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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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