Risk Factors for Imported Severe Malaria Cases - China, 2019-2023.

IF 4.3 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Boyu Yi, Zhigui Xia
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引用次数: 0

Abstract

Objective: To analyze the epidemiological characteristics of imported malaria in China from 2019 to 2023 and to explore risk factors for severe malaria cases, thereby providing a theoretical basis for early clinical identification and intervention of severe malaria.

Methods: National malaria case data were retrospectively collected from 2019 to 2023 through the Chinese Center for Disease Control and Prevention Parasitic Disease Prevention and Control Information System. Study subjects were divided into severe and non-severe malaria cases, and the characteristics of both groups were analyzed. Multivariate logistic regression analysis was used to explore risk factors for developing severe malaria.

Results: From 2019 to 2023, a total of 7,892 imported malaria cases were reported nationwide, including 673 severe cases and 7,219 non-severe cases. There were 7,353 (93.2%) male and 539 (6.8%) female patients. Compared to non-severe malaria patients, severe malaria patients were older (43.9±10.4 years), predominantly originated from Africa (643,95.5%), had a higher frequency of recent overseas residence within the past month (609,90.5%), were typically infected with P. falciparum (527,78.3%), and had a higher mortality rate (47,7.0%). Severe cases had longer median time intervals from symptom onset to medical visit (4 days), from visit to diagnosis (2 days), and from diagnosis to treatment (2 days), and a longer median medication time (7 days), all P<0.05.

Conclusions: This study identified risk factors for severe malaria and recommends focusing on monitoring patients' age, infection source, Plasmodium species, time from onset to hospital visit, and recent history of foreign residence. These findings provide a valuable reference for effectively managing malaria cases and reducing the incidence of severe malaria in the future.

2019-2023年中国输入性严重疟疾病例危险因素分析
目的:分析2019 - 2023年中国输入性疟疾流行病学特征,探讨重症疟疾病例的危险因素,为重症疟疾临床早期识别和干预提供理论依据。方法:通过中国疾病预防控制中心寄生虫病预防控制信息系统,回顾性收集2019 - 2023年全国疟疾病例数据。将研究对象分为重度和非重度疟疾病例,分析两组患者的特点。采用多因素logistic回归分析探讨重症疟疾发生的危险因素。结果:2019 - 2023年,全国共报告输入性疟疾病例7892例,其中重症病例673例,非重症病例7219例。男性7353例(93.2%),女性539例(6.8%)。与非重症疟疾患者相比,重症疟疾患者年龄较大(43.9±10.4岁),主要来自非洲(643例,95.5%),最近一个月内海外居住频率较高(609例,90.5%),典型感染恶性疟原虫(527例,78.3%),死亡率较高(47例,7.0%)。重症病例从症状出现到就诊的中位时间间隔(4天)、就诊到诊断的中位时间间隔(2天)、诊断到治疗的中位时间间隔(2天)较长,用药时间中位时间较长(7天)。结论:本研究确定了重症疟疾的危险因素,建议重点监测患者的年龄、感染源、疟原虫种类、发病到就诊的时间、近期国外居住史等。这些发现为今后有效管理疟疾病例和降低重症疟疾发病率提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.90
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