Diagnosis of neonatal sepsis: the past, present and future.
Diagnosis of neonatal sepsis: the past, present and future.
复制标题
DOI：
10.1038/s41390-021-01696-z
复制
发表时间：
2022-01
影响因子：
3.6
通讯作者：
Mohan Pammi
中科院分区：
文献类型：
--
作者：
Celik IH;Hanna M;Canpolat FE;Mohan Pammi
败血症仍然是新生儿死亡和发病的重要原因，特别是在低收入和中等收入国家。新生儿败血症表现为非特异性体征和症状，需要进行检查以确诊。感染的早期和准确诊断将改善临床结果并减少抗生素的过度使用。目前的诊断方法依赖于传统的培养方法，这是耗时的，可能会延迟关键的治疗决定。包括分子方法和质谱法在内的非培养技术可以克服基于培养技术的一些局限性。生物标志物包括血液学指标、细胞粘附分子、白细胞介素和急性期反应物已被用于新生儿败血症的诊断。在这篇综述中，我们研究了过去和现在的微生物学技术，血液学指标和炎症生物标志物，可能有助于脓毒症的诊断。寻找一种理想的生物标志物，具有足够的诊断准确性，早期脓毒症仍在进行中。我们讨论了正在开发和测试的未来有希望的策略，这些策略可能有助于我们早期诊断脓毒症并改善临床结果。
Sepsis remains a significant cause of neonatal mortality and morbidity, especially in low and middle-income countries. Neonatal sepsis presents with nonspecific signs and symptoms that necessitate tests to confirm the diagnosis. Early and accurate diagnosis of infection will improve clinical outcomes and decrease overuse of antibiotics. Current diagnostic methods rely on conventional culture methods, which is time-consuming and may delay critical therapeutic decisions. Nonculture-based techniques including molecular methods and mass spectrometry may overcome some of the limitations seen with culture-based techniques. Biomarkers including hematological indices, cell adhesion molecules, interleukins and acute phase reactants have been used for diagnosis of neonatal sepsis. In this review, we examine past and current microbiological techniques, hematological indices and inflammatory biomarkers that may aid sepsis diagnosis. The search for an ideal biomarker that has adequate diagnostic accuracy, early in sepsis is still ongoing. We discuss promising strategies for the future that are being developed and tested that may help us diagnose sepsis early and improve clinical outcomes.
登录
查看更多内容
影响因子：
1.2
作者：
Can, Emrah;Hamilcikan, Sahin;Can, Ceren
通讯作者：
Can, Ceren
影响因子：
3.9
作者：
Buhimschi CS;Bhandari V;Han YW;Dulay AT;Baumbusch MA;Madri JA;Buhimschi IA
通讯作者：
Buhimschi IA
影响因子：
2.8
作者：
Cekmez, Ferhat;Canpolat, Fuat Emre;Sarici, Serdar Umit
通讯作者：
Sarici, Serdar Umit
影响因子：
2.4
作者：
Aydemir, C.;Aydemir, H.;Mungan, A. G.
通讯作者：
Mungan, A. G.
影响因子：
2.6
作者：
Helguera-Repetto AC;Soto-Ramírez MD;Villavicencio-Carrisoza O;Yong-Mendoza S;Yong-Mendoza A;León-Juárez M;González-Y-Merchand JA;Zaga-Clavellina V;Irles C
通讯作者：
Irles C