Comparing the Accuracy of the Three Dehydration Scales in XXXX with Acute @entity294 in a Developing Country of Kosovo.

@entity1 @entity2700 @entity55 @entity294 @entity204
BACKGROUND: Although @entity294 is a preventable disease, it remains the second leading cause of @entity204 (after @entity55 ) among @entity1 aged under five years worldwide. The World Health Organization (WHO) scale, the Gorelick scale, and the Clinical Dehydration Scale (CDS) were created to estimate @entity2700 status using clinical signs. The purpose of this study is to determine whether these clinical scales can accurately assess @entity2700 status of @entity1 in a developing country of Kosovo. METHODOLOGY: @entity1 aged 1 month to 5 years with a history of acute @entity294 were enrolled in the study. After recording the data about the @entity1 historical features the treating physician recorded the physical examination findings consistent with each clinical score. Receiver operating characteristic (ROC) curves were constructed to evaluate the performance of the three scales, compared to the gold standard, percent weight change with rehydration. Sensitivity, specificity and likelihood ratios were calculated using the best cut-off points of the ROC curves. RESULTS: We enrolled 230 @entity1 , and 200 @entity1 met eligibility criteria. The WHO scale for predicting significant @entity2700 (>= 5 percent weight change) had an area under the curve (AUC) of 0.71 (95% : CI= 0.65-0.77). The Gorelick scales 4- and 10-point for predicting significant @entity2700 , had an area under the curve of 0.71 (95% : CI=0.63- 0.78) and 0.74 (95% : CI= 0.68-0.81) respectively. Only the CDS for predicting the significant @entity2700 above >= 6% percent weight change, did not have an area under the curve statistically different from the reference line with an AUC of 0.54 (95% CI = 0.45- 0.63). CONCLUSION: The WHO @entity2700 scale and Gorelick scales were fair predictors of @entity2700 in @entity1 with @entity294 . Only the Clinical Dehydration Scale was found not to be a helpful predictor of @entity2700 in our study cohort.
