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用于预测从热带和亚热带地区返回的旅行者中疟疾和登革热的评分系统。

Scoring systems for prediction of malaria and dengue fever in non-endemic areas among travellers arriving from tropical and subtropical areas.

机构信息

Karolinska University Hospital, Stockholm, Sweden

Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden.

出版信息

Emerg Med J. 2024 Mar 21;41(4):242-248. doi: 10.1136/emermed-2023-213296.

Abstract

BACKGROUND

Fever is a common symptom among travellers returning from tropical/subtropical areas to Europe, and promptly distinguishing severe illnesses from self-limiting febrile syndromes is important but can be challenging due to non-specific clinical presentation.

METHODS

A cross-sectional study enrolled adults and children who sought care during 2015-2020 at Karolinska University Hospital, Stockholm, Sweden with fever within 2 months after returning from travel to a tropical/subtropical area. Data on symptoms and laboratory parameters were prospectively and retrospectively collected. Two separate scoring systems for malaria and dengue were developed based on backward elimination regressions.

RESULTS

In total, 2113 adults (18-94 years) and 202 children (1-17 years) were included, with 112 (4.8%) confirmed malaria by blood thick smear and 90 (3.9%) PCR/serology dengue-positive cases. Malaria was more likely in a patient who had visited sub-Saharan Africa and presented with combination of thrombocytopenia, anaemia and fever ≥39.5°C. Leucopenia, muscle pain and rash after travelling to Asia or South/Latin America indicated high probability of dengue. Two scoring systems with points between 0 and 7 for prediction of malaria or dengue were created based on the above predictors. Scores ≥3 indicated >80% sensitivity and specificity for malaria and >90% specificity for dengue in children and adults (area under the curve (AUC) for dengue: 0.92 in adults (95% CI 0.90 to 0.95) and 0.95 in children (95% CI 0.88 to 1.0); AUC for malaria: 0.93 in adults (95% CI 0.91 to 0.96) and 0.88 in children (95% CI 0.78 to 0.99)). Internal validation of optimism and overfitting was managed with bootstrap.

CONCLUSION

The presented scoring systems provide novel tools for structured assessment of patients with tropical fever in a non-endemic area and highlight clinical signs associated with a potential severe aetiology to direct the need for microbial investigation.

摘要

背景

从热带/亚热带地区返回欧洲的旅行者常出现发热症状,及时区分严重疾病和自限性发热综合征很重要,但由于临床表现不具特异性,这可能具有挑战性。

方法

本横断面研究纳入了 2015 年至 2020 年期间在瑞典斯德哥尔摩卡罗林斯卡大学医院就诊的、在热带/亚热带地区旅行后 2 个月内出现发热的成年人和儿童。前瞻性和回顾性收集了症状和实验室参数的数据。基于向后消除回归,分别开发了疟疾和登革热的两个评分系统。

结果

共纳入 2113 名成年人(18-94 岁)和 202 名儿童(1-17 岁),112 例(4.8%)经血厚涂片确诊为疟疾,90 例(3.9%)PCR/血清学登革热阳性。从撒哈拉以南非洲旅行回来的患者,如果血小板减少、贫血和发热≥39.5°C 同时存在,则更有可能患有疟疾。旅行到亚洲或南美/拉丁美洲后出现白细胞减少、肌肉疼痛和皮疹提示登革热的可能性较高。根据上述预测因素,为预测疟疾或登革热,建立了两个评分系统,分数在 0 到 7 之间。得分≥3 时,儿童和成人中疟疾的敏感性和特异性均>80%(登革热 AUC:成人 0.92(95%CI 0.90 至 0.95),儿童 0.95(95%CI 0.88 至 1.0);疟疾 AUC:成人 0.93(95%CI 0.91 至 0.96),儿童 0.88(95%CI 0.78 至 0.99))。采用自举法进行内部验证以管理乐观和过拟合。

结论

本研究提出的评分系统为非流行地区热带发热患者的结构化评估提供了新的工具,并强调了与潜在严重病因相关的临床特征,以指导微生物检查的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59e5/10982626/7b9beb9b9b3a/emermed-2023-213296f01.jpg

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