不同血液学参数和生物标志物用于诊断新生儿败血症的综述

Prachi Gandhi, Santosh Kondekar
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引用次数: 10

摘要

新生儿败血症是新生儿发病和死亡的主要原因。由于缺乏客观的评价,对新生儿医生提出了诊断挑战。它可能模仿非传染性疾病,如先天性代谢错误,出生窒息,甚至早产儿呼吸窘迫综合征。然而,过度诊断和使用不必要的经验性抗生素可能会造成耐药性的威胁,增加住院时间和治疗费用。传统上,诸如白细胞计数、绝对中性粒细胞计数、未成熟中性粒细胞与总中性粒细胞的比率、c反应蛋白水平和血液培养等调查已被用于诊断败血症。然而,这些具有较低的敏感性和特异性,因为它们可能在脓毒症以外的条件下升高。新生儿免疫系统对早期感染反应的深入了解导致了包括生物标志物在内的先进诊断工具的发现。这篇文献综述简要介绍了新生儿败血症的各种血液学参数和生物标志物,探索新的生物标志物,并将它们与旧的生物标志物进行比较。这将有助于新生儿败血症的早期诊断、治疗和改善预后。由于诊断新生儿脓毒症有一系列的标记物,因此最好将这些标记物汇编并在临床上进行关联。在PubMed, Elsevier 's Web of Science和Cochrane Library的电子数据库上对这些文献进行了彻底的搜索。作者发现了大约90篇相关文章:84篇来自PubMed, 4篇来自Elsevier, 2篇来自最新的Cochrane数据库。在这些文章中,有57篇选自2000年初至2019年1月。
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A Review of the Different Haematological Parameters and Biomarkers Used for Diagnosis of Neonatal Sepsis
Neonatal sepsis is a major cause of morbidity and mortality in newborns. It presents a diagnostic challenge to the neonatologists due to a lack of objective evaluation. It may mimic noninfective conditions, such as inborn error of metabolism, birth asphyxia, and even respiratory distress syndrome in preterms. Nonetheless, over-diagnosis and initiating unwanted empirical antibiotics may pose the threat of drug resistance, increasing the hospital stay and cost of treatment. Traditionally, investigations such as white blood cell count, absolute neutrophil count, immature to total neutrophil ratio, C-reactive protein levels, and blood cultures have been used to diagnose sepsis. However, these have low sensitivity and specificity because they may be elevated in conditions other than sepsis. The in-depth understanding of the neonatal immune system’s response to early infection has led to the discovery of advanced diagnostic tools, including biomarkers. This literature review briefs on the various haematological parameters and biomarkers in neonatal sepsis, exploring newer biomarkers and comparing them with their older counterparts. This will help early diagnosis, treatment, and improved prognosis in neonatal sepsis. As there is a spectrum of markers for diagnosing neonatal sepsis, it is preferable to compile these markers and correlate clinically. A thorough search of this literature was done on the electronic databases PubMed, Elsevier’s Web of Science, and the Cochrane Library. The authors found around 90 relevant articles: 84 were from PubMed, 4 from Elsevier, and 2 from the latest Cochrane database. Of these articles, 57 were selected from between early 2000 and January 2019.
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