Medical Technology, School of Allied Health Sciences, Walailak University, Thasala, Nakhon Si Thammarat, Thailand.
Department of Medical Technology, Institute of Arts and Sciences, Far Eastern University, Manila, Philippines.
PLoS One. 2020 Jun 23;15(6):e0233913. doi: 10.1371/journal.pone.0233913. eCollection 2020.
Leukocyte alterations are a common hematological alteration among malaria patients.
This systematic review and meta-analysis aimed to provide data and evidence comparing alterations in total leukocyte counts in malaria patients compared to febrile/healthy subjects at baseline before treatment. A systematic review was conducted by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement for reporting systematic reviews and meta-analyses.
Web of Science (ISI), Scopus, and Medline.
STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND INTERVENTIONS: All published articles reporting a total leukocyte count of patients infected with malaria, non-malaria (febrile or healthy group) at baseline before treatment before August 27, 2019, were retrieved, and data were extracted by two main reviewers independently.
We used a forest plot, heterogeneity test (Cochran's Q), and the degree of heterogeneity (I2) to test whether the included studies were heterogeneous. The quality of the included studies was determined by a quality assessment guide based on the quality assessment tool developed by the Newcastle-Ottawa Scale (NOS). Cochran's Q (Chi-square) and Moran's I2 were used to evaluate heterogeneity. Meta-regression using STATA software was conducted to find the source of heterogeneity. A funnel plot with Egger's test was used to examine the significance of publication bias among the included studies. The mean differences were estimated using a random-effects model.
Out of the 2,261 articles screened, 29 articles were included in this systematic review and meta-analysis. The heterogeneity test indicated that there was heterogeneity among the included studies with no publication bias. The meta-analysis demonstrated that the total leukocyte count was significantly lower in patients with malaria (n = 4,619) than in those without malaria (n = 10,056) (Z = 4.0, P-value < 0.00001, mean difference = -1.38, 95% CI = -2.06-(-0.71)). Leukocyte differential alterations, low lymphocyte counts (P-value <0.0001, mean difference = -1.03, 95% CI = -1.53-(-0.53)) and a high NL ratio were found in the malaria group (n = 1,579) compared to the non-malaria group (n = 4,991) (P-value <0.0001, mean difference = 0.6, 95% CI = 0.32-0.88). The subgroup analysis indicated that there was a significantly lower total leukocyte count in the malaria group (n = 3,545) than in the febrile group (n = 8,947) (Z = 1.33, P-value < 0.0001, mean difference = -1.76, 95% CI = -2.56-(-0.96)), but no significant difference was found between the malaria group (n = 1,232) and the healthy group (n = 1,679) (P-value > 0.05).
As the specific diagnoses in the febrile groups were not reported in the included studies so that the results of the present study need to be carefully interpreted.
This systematic review demonstrated that the total leukocyte count was affected by malarial infection at baseline despite the heterogeneity of the included studies. Future work must aim to understand the treatment-related total leukocyte reduction during follow-up or post-treatment outcomes in malaria-endemic settings.
白细胞改变是疟疾患者常见的血液学改变。
本系统评价和荟萃分析旨在提供数据和证据,比较疟疾患者与基线治疗前发热/健康对照者的总白细胞计数变化。按照系统评价和荟萃分析的首选报告项目(PRISMA)声明进行系统评价。
Web of Science(ISI)、Scopus 和 Medline。
研究入选标准、参与者和干预措施:检索了所有发表的文章,这些文章报告了基线治疗前感染疟疾的患者(非疟疾患者,发热或健康组)的总白细胞计数,检索时间截至 2019 年 8 月 27 日,由两名主要审查员独立提取数据。
我们使用森林图、异质性检验(Cochran's Q)和异质性程度(I2)来检验纳入研究是否存在异质性。纳入研究的质量通过基于纽卡斯尔-渥太华量表(NOS)开发的质量评估工具的质量评估指南来确定。Cochran's Q(卡方)和 Moran's I2 用于评估异质性。使用 STATA 软件进行元回归,以寻找异质性的来源。使用漏斗图和 Egger 检验来检查纳入研究的发表偏倚的显著性。使用随机效应模型估计平均差异。
在筛选出的 2261 篇文章中,有 29 篇文章纳入本系统评价和荟萃分析。异质性检验表明,纳入研究存在异质性,且无发表偏倚。荟萃分析表明,与非疟疾患者(n=10056)相比,疟疾患者(n=4619)的总白细胞计数明显较低(Z=4.0,P<0.00001,平均差异=-1.38,95%CI=-2.06-(-0.71))。与非疟疾组(n=4991)相比,疟疾组(n=1579)的白细胞差异改变明显,淋巴细胞计数低(P<0.0001,平均差异=-1.03,95%CI=-1.53-(-0.53)),NL 比值较高(P<0.0001,平均差异=0.6,95%CI=0.32-0.88)。亚组分析表明,与发热组(n=8947)相比,疟疾组(n=3545)的总白细胞计数明显较低(Z=1.33,P<0.0001,平均差异=-1.76,95%CI=-2.56-(-0.96)),但与健康组(n=1679)相比,差异无统计学意义(P>0.05)。
由于纳入研究未报告发热组的具体诊断,因此本研究的结果需要仔细解释。
本系统评价表明,尽管纳入研究存在异质性,但基线时疟疾感染会影响总白细胞计数。未来的工作必须旨在了解疟疾流行地区治疗相关的总白细胞减少及其随访或治疗后结局。