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Background: Despite the importance of accurate and rapid assessment of hydration status in patients with acute diarrhoea, no validated tools exist to help clinicians assess dehydration severity in older children and adults. The aim of this study is to validate a clinical decision support tool (CDST) and a simplified score for dehydration severity in older children and adults with acute diarrhoea (both developed during the NIRUDAK study) and compare their accuracy and reliability with current WHO guidelines. Methods: A random sample of patients aged 5 years or older presenting with diarrhoea to the icddr,b Dhaka Hospital in Bangladesh between Jan 30 and Dec 13, 2022 were included in this prospective cohort study. Patients with fewer than three loose stools per day, more than 7 days of symptoms, previous enrolment in the study, or a diagnosis other than acute gastroenteritis were excluded. Patients were weighed on arrival and assessed separately by two nurses using both our novel clinical tools and WHO guidelines. Patients were weighed every 4 h to determine their percent weight change with rehydration, our criterion standard for dehydration. Accuracy for the diagnosis of dehydration category (none, some, or severe) was assessed using the ordinal c-index (ORC). Reliability was assessed by comparing the prediction of severe dehydration from each nurse's independent assessment using the intraclass correlation coefficient (ICC). Findings: 1580 patients were included in our primary analysis, of whom 921 (58·3%) were female and 659 (41·7%) male. The ORC was 0·74 (95% CI 0·71–0·77) for the CDST, 0·75 (0·71–0·78) for the simplified score, and 0·64 (0·61–0·67) for the WHO guidelines. The ICC was 0·98 (95% CI 0·97–0·98) for the CDST, 0·94 (0·93–0·95) for the simplified score, and 0·56 (0·52–0·60) for the WHO guidelines. Interpretation: Use of our CDST or simplified score by clinicians could reduce undertreatment and overtreatment of older children and adults with acute diarrhoea, potentially reducing morbidity and mortality for this common disease. Funding: US National Institutes of Health. Translation: For the Bangla translation of the abstract see Supplementary Materials section. © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license

Abstract

Adolescent, Adult, Algorithms, Bangladesh, Child, Dehydration, Diarrhea, Female, Humans, Infant, Male, Prospective Studies, Reproducibility of Results, World Health Organization, acute diarrhea, adolescent, adult, algorithm, Article, child, clinical assessment, controlled study, correlation coefficient, decision support system, dehydration, diagnostic test accuracy study, disease severity, female, human, major clinical study, male, malnutrition, middle aged, observational study, preschool child, prospective study, receiver operating characteristic, rehydration, school child, sensitivity and specificity, young adult, diarrhea, infant, reproducibility

Significance Statement:

A comparison of the NIRUDAK models and WHO algorithm for dehydration assessment in older children and adults with acute diarrhoea: a prospective, observational study

Levine A.C., Gainey M., Qu K., Nasrin S., Sharif M.B.-E., Noor S.S., Barry M.A., Garbern S.C., Schmid C.H., Rosen R.K., Nelson E.J., Alam N.H.

This study addresses the challenge of accurately and rapidly assessing dehydration severity in patients with acute diarrhoea, particularly in older children and adults. It validates a clinical decision support tool (CDST) and a simplified score for dehydration severity, comparing them with the World Health Organization (WHO) algorithm. The NIRUDAK models, both full and simplified, include various clinical signs like eye level, skin pinch, respiration depth, and others for assessment. The study found that the NIRUDAK models performed better than the WHO algorithm, especially in patients over five years with cholera and/or wasting. This research is significant for improving clinical diagnostic models for dehydration associated with diarrhoea, contributing to better health outcomes​​​​​​​​.

The Lancet Global Health

2023

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