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A Candida Colonization Index Score (CCIS) was calculated for each patient using the methods described [ 8] as follows: CCIS = ratio of the number of non-blood distinct body sites colonised with Candida spp to the total number of body sites cultured.
The CCIS was the most discriminating test between patients with invasive infection and those without, as assessed by the AUROC, with an AUROC of 0.79 (95% CI 0.69-0.87).
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The Chinese Cryospheric Information System (CCIS) is an integrated geographic information system (GIS) for storing, managing and analyzing the cryospheric data within China.
CCIS is managed by ARC/INFO and can export data to other GIS environments easily, since data exchange interfaces were paid particular attention in the system.
The scores of patient's comorbilities, such as CHADS2 scores and CCIS, were calculated by these comorbilities.
The Charlson Comorbidity Index Score (CCIS) is a widely accepted measure for risk adjustment in administrative claims data sets.
The Charlson Comorbidity Index Score (CCIS) is a widely accepted measure for risk adjustment in administrative claims datasets 20, 21, 22, 23.
Future studies will employ this method to examine how the CCIS impacts the time HCPs spend on their tasks, the interruptions they encounter, and whether the CCIS introduction is broadly a positive step for patient care.
The CCIS may be the most useful test to identify those patients who are unlikely to benefit from antifungal therapy.
In this study both colonisation with Candida spp. and a CCIS >0.5 were associated with subsequent infection [ 8].
Prior studies have shown Charlson Comorbidity Index Score (CCIS) to be useful in predicting mortality for radical prostatectomy patients 14, 15, 16, 17.
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