Ahmed Armin, Azim Afzal, Baronia Arvind Kumar, Marak K Rungmei S K, Gurjar Mohan
Department of Critical Care Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Department of Microbiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Indian J Crit Care Med. 2014 Oct;18(10):682-8. doi: 10.4103/0972-5229.142178.
Over past few years, treatment of invasive candidiasis (IC) has evolved from targeted therapy to prophylaxis, pre-emptive and empirical therapy. Numerous predisposing factors for IC have been grouped together in various combinations to design risk prediction models. These models in general have shown good negative predictive value, but poor positive predictive value. They are useful in selecting the population which is less likely to benefit from empirical antifungal therapy and thus prevent overuse of antifungal agents. Current article deals with various risk prediction models for IC and their external validation studies.
在过去几年中，侵袭性念珠菌病（IC）的治疗已从靶向治疗发展为预防、抢先治疗和经验性治疗。IC的众多易感因素已被组合在一起，以设计风险预测模型。总体而言，这些模型显示出良好的阴性预测价值，但阳性预测价值较差。它们有助于选择不太可能从经验性抗真菌治疗中获益的人群，从而避免抗真菌药物的过度使用。本文讨论了IC的各种风险预测模型及其外部验证研究。
