Ho Sook Fong, Tan Swee Jin, Mazlan Mohd Zulfakar, Iberahim Salfarina, Lee Ying Xian, Hassan Rosline
Department of Haematology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
Transfusion Medicine Unit, Hospital Universiti Sains Malaysia, Kubang Kerian 16150, Kelantan, Malaysia.
Diagnostics (Basel). 2023 Jul 21;13(14):2445. doi: 10.3390/diagnostics13142445.
Sepsis is a major cause of mortality and morbidity in intensive care units. This case-control study aimed to investigate the haematology cell population data and extended inflammatory parameters for sepsis management. The study included three groups of patients: sepsis, non-sepsis, and healthy controls. Patients suspected of having sepsis underwent a Sequential Organ Failure Assessment (SOFA) evaluation and had blood drawn for blood cultures, complete peripheral blood counts (CBC), and measurements of various markers such as C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6). We observed significant changes in numerous CBC parameters and extended inflammation parameters (EIPs), in addition to significant biochemical analysis markers CRP and IL-6 in sepsis cohorts. Multiple logistic regression analyses showed that combining different CBC parameters and EIPs were effective to profile these patients. Two different models have been developed using white blood cell counts and their extended parameters. Our findings indicate that the absolute counts of white blood cells, and the EIPs which reflect their activation states, are important for the prediction and assessment of sepsis, as the body responds to an insult that triggers an immune response. In an emergency situation, having timely updates on patient conditions becomes crucial for guiding the management process. Identifying trends in these specific patient groups will aid early diagnosis, complementing clinical signs and symptoms, especially as CBC is the most commonly ordered test in a diagnostic workup.
脓毒症是重症监护病房死亡和发病的主要原因。这项病例对照研究旨在调查血液学细胞群体数据和扩展的炎症参数,以用于脓毒症的管理。该研究包括三组患者:脓毒症组、非脓毒症组和健康对照组。疑似患有脓毒症的患者接受序贯器官衰竭评估(SOFA),并抽取血液进行血培养、全血细胞计数(CBC)以及测量各种标志物,如C反应蛋白(CRP)、降钙素原(PCT)和白细胞介素-6(IL-6)。我们观察到,除了脓毒症队列中显著的生化分析标志物CRP和IL-6外,众多CBC参数和扩展炎症参数(EIPs)也有显著变化。多元逻辑回归分析表明,结合不同的CBC参数和EIPs对这些患者进行分析是有效的。利用白细胞计数及其扩展参数开发了两种不同的模型。我们的研究结果表明,白细胞的绝对计数以及反映其激活状态的EIPs,对于脓毒症的预测和评估很重要,因为身体会对引发免疫反应的损伤做出反应。在紧急情况下,及时更新患者状况对于指导管理过程至关重要。识别这些特定患者群体的趋势将有助于早期诊断,补充临床体征和症状,特别是因为CBC是诊断检查中最常进行的检查。