Faridah Imaniar Noor, Dania Haafizah, Chen Yen-Hsu, Supadmi Woro, Purwanto Barkah Djaka, Heriyanto Mochammad Junaidy, Aufa Mahda Adil, Chang Wei-Chiao, Perwitasari Dyah Aryani
Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, University of Ahmad Dahlan, Yogyakarta 55164, Indonesia.
Diagnostics (Basel). 2022 Apr 11;12(4):950. doi: 10.3390/diagnostics12040950.
Dengue is a viral infection caused by the dengue virus (DENV). Dengue infection is a self-limited acute febrile illness caused by four serotypes of DENV (DENV-1~4). Early recognition of high-risk patients would be helpful to reduce mortality rates and prevent severe dengue. Our study aimed to identify factors related to dengue hemorrhagic fever (DHF) based on admission-day data, and further to understand the distribution of biochemical laboratory data in dengue patients. This retrospective study was conducted in hospitals in Yogyakarta city, Indonesia, and involved febrile patients who were admitted to the hospital with a diagnosis of dengue during 2018 and 2020. Logistic regression models were used to identify variables related to DHF. In this study, 1087 patients were included as suspected dengue patients, among them 468 had dengue fever (DF) and 619 had DHF. Over half of the DHF patients were males (55.9%) with an average age of 17.9 years, and with a secondary infection (71.3%). By a multivariate analysis, on-admission laboratory data of thrombocytopenia and hemoglobin showed significant association with DHF. Furthermore, DHF patients had significantly prolonged hospitalizations compared to DF patients. In conclusion, on-admission platelet counts and hemoglobin laboratory data are useful as predictors of DHF especially for suspected dengue patients with the limitations of diagnostic tests.
登革热是由登革病毒(DENV)引起的一种病毒感染。登革热感染是一种由四种登革病毒血清型(DENV-1~4)引起的自限性急性发热性疾病。早期识别高危患者有助于降低死亡率并预防重症登革热。我们的研究旨在基于入院当天的数据确定与登革出血热(DHF)相关的因素,并进一步了解登革热患者生化实验室数据的分布情况。这项回顾性研究在印度尼西亚日惹市的医院进行,纳入了2018年至2020年期间因诊断为登革热而入院的发热患者。采用逻辑回归模型来确定与DHF相关的变量。在本研究中,1087例患者被纳入疑似登革热患者,其中468例患有登革热(DF),619例患有DHF。超过一半的DHF患者为男性(55.9%),平均年龄为17.9岁,且为二次感染(71.3%)。通过多变量分析,入院时血小板减少和血红蛋白的实验室数据与DHF显示出显著相关性。此外,与DF患者相比,DHF患者的住院时间显著延长。总之,入院时的血小板计数和血红蛋白实验室数据可作为DHF的预测指标,特别是对于诊断检测存在局限性的疑似登革热患者。