Related Experiment Video
Updated: Jan 23, 2026

Induction and Clinical Scoring of Chronic-Relapsing Experimental Autoimmune Encephalomyelitis
Published on: July 4, 2007
Development of a concise clinical index for predicting chronic chikungunya arthritis
Efrén Murillo-Zamora1, Oliver Mendoza-Cano2, Benjamín Trujillo-Hernández3
1Departamento de Epidemiología, Unidad de Medicina Familiar No. 19, Instituto Mexicano del Seguro Social, Av. Javier Mina 301, Col. Centro, C.P. 28000, Colima, Colima, México; Programa de Doctorado en Ciencias Médicas, Facultad de Medicina, Universidad de Colima, Av. Universidad 333, Col. Las Víboras, C.P. 28040, Colima, Colima, México.
Objective:
To evaluate the performance of an instrument for predicting chronic chikungunya arthritis (CCA) in adult patients.
Methods:
A diagnostic test study was conducted and data from 217 confirmed cases of chikungunya virus (CHIKV) illness were analyzed. Two chronic chikungunya arthralgia scales (3-item CCAS-3 and 4-item CCAS-4) were constructed.
Results:
Modest performance of the CCAS-3 scale was documented at the two given cut-off points. A CCAS-4 score ≥3 showed high sensitivity and specificity for predicting the persistence of CCA at 12 months after acute disease.
Conclusions:
If replicated in other populations, these results could be useful in the medical management of patients with symptomatic CHIKV infection.
Related Concept Videos
Chronic Kidney Disease II: Clinical Manifestations
Predicting Molecular Geometry
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...
Predicting Reaction Outcomes

