Moorman J Randall, Lake Douglas E, Griffin M Pamela
Department of Medicine, University of Virginia, Charlottesville 22908, USA.
IEEE Trans Biomed Eng. 2006 Jan;53(1):126-32. doi: 10.1109/TBME.2005.859810.
While heart rate variability has been measured in many clinical settings and has offered insights into how HR is controlled, rarely has it offered unique information that has led to changes in patient management. We review our experience in developing continuous HR characteristics monitoring to aid in the early diagnosis of sepsis in premature infants in the neonatal intensive care unit. A predictive algorithm, developed at one center and validated at another, has led to diagnosis and treatment of this subacute and potentially catastrophic illness prior to appearance of symptoms of severe illness.
虽然心率变异性已在许多临床环境中进行测量,并为心率控制方式提供了见解,但它很少能提供导致患者管理发生变化的独特信息。我们回顾了我们在开发连续心率特征监测方面的经验,以帮助新生儿重症监护病房中早产儿败血症的早期诊断。一种在一个中心开发并在另一个中心验证的预测算法,已在严重疾病症状出现之前实现了对这种亚急性且可能具有灾难性的疾病的诊断和治疗。