Department of Haematology-Oncology, National University Cancer Institute, National University Health System Singapore, Singapore, Singapore.
Nawaloka Hospital Research and Education Foundation, Nawaloka Hospitals PLC, Dharmadasa Mawatha, Colombo, Sri Lanka.
PLoS One. 2019 May 1;14(5):e0215061. doi: 10.1371/journal.pone.0215061. eCollection 2019.
The early identification of patients at risk of severe dengue infection (DI) is critical to guide clinical management. There is currently no validated laboratory test which can predict severe complications of DI. The Atypical lymphocyte count (ALC) is a research parameter generated at no extra cost when an automated Full Blood Count (FBC) is performed. The purpose of this study was to assess the association of ALC with the severity of DI.
We prospectively collected data on patients admitted to Nawaloka Hospital Sri Lanka (NH) with DI between December 2016 and November 2017. DI was diagnosed based on a positive Non-structural antigen 1 (NS1) or dengue IgM antibody. ALC (absolute ALC and percentage) data were extracted from the Sysmex XS500i automated full blood count (FBC) analyzer (Sysmex Corporation Kobe, Japan). Clinical data was recorded from medical records and the computerized data base maintained by NH.
530 patients were enrolled. Patients with clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. Patients who presented with respiratory compromise had statistically significantly higher AL% compared to those without. (AL%; 8.65±12.09 vs 2.17±4.25 [p = 0.01]). Similarly, patients who developed hypotension had higher AL% compared to those who did not suffered from shock (AL%; 8.40±1.26 vs 2.18±4.25 [p = 0.001]). The AL% of dengue patients presenting with bleeding, at 4.07%, is also higher than those without bleeding complications, at 2.15%. There was a significant negative association between platelet count and AL% (p = 0.04).
Clinical manifestations of severe dengue have a significantly higher AL % compared to dengue without warning signs. AL % at presentation may be predictive of severe DI and future larger prospective longitudinal studies should be done to determine if AL % on admission is predictive of the complications of DI.
早期识别有严重登革热感染(DI)风险的患者对于指导临床管理至关重要。目前尚无经验证的实验室检测方法可预测 DI 的严重并发症。非典型淋巴细胞计数(ALC)是在进行全自动全血细胞计数(FBC)时产生的研究参数,不会增加额外成本。本研究旨在评估 ALC 与 DI 严重程度的相关性。
我们前瞻性地收集了 2016 年 12 月至 2017 年 11 月期间在斯里兰卡 Nawaloka 医院(NH)因 DI 住院的患者数据。DI 的诊断基于非结构抗原 1(NS1)或登革热 IgM 抗体的阳性结果。ALC(绝对值和百分比)数据从 Sysmex XS500i 全自动全血细胞计数(FBC)分析仪(Sysmex 公司,日本神户)中提取。临床数据来自病历和 NH 维护的计算机数据库。
共纳入 530 例患者。有严重登革热临床表现的患者的 AL%明显高于无预警症状的登革热患者。出现呼吸窘迫的患者的 AL%明显高于无呼吸窘迫的患者。(AL%;8.65±12.09 比 2.17±4.25 [p=0.01])。同样,发生低血压的患者的 AL%高于未发生休克的患者(AL%;8.40±1.26 比 2.18±4.25 [p=0.001])。有出血表现的登革热患者的 AL%为 4.07%,也高于无出血并发症的患者的 AL%,为 2.15%。血小板计数与 AL%呈显著负相关(p=0.04)。
有严重登革热临床表现的患者的 AL%明显高于无预警症状的登革热患者。发病时的 AL%可能预示着严重 DI,未来应进行更大规模的前瞻性纵向研究,以确定入院时的 AL%是否可预测 DI 的并发症。