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      The Value of Body Weight Measurement to Assess Dehydration in Children

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          Abstract

          Dehydration secondary to gastroenteritis is one of the most common reasons for office visits and hospital admissions. The indicator most commonly used to estimate dehydration status is acute weight loss. Post-illness weight gain is considered as the gold-standard to determine the true level of dehydration and is widely used to estimate weight loss in research. To determine the value of post-illness weight gain as a gold standard for acute dehydration, we conducted a prospective cohort study in which 293 children, aged 1 month to 2 years, with acute diarrhea were followed for 7 days during a 3-year period. The main outcome measures were an accurate pre-illness weight (if available within 8 days before the diarrhea), post-illness weight, and theoretical weight (predicted from the child’s individual growth chart). Post-illness weight was measured for 231 (79%) and both theoretical and post-illness weights were obtained for 111 (39%). Only 62 (21%) had an accurate pre-illness weight. The correlation between post-illness and theoretical weight was excellent (0.978), but bootstrapped linear regression analysis showed that post-illness weight underestimated theoretical weight by 0.48 kg (95% CI: 0.06–0.79, p<0.02). The mean difference in the fluid deficit calculated was 4.0% of body weight (95% CI: 3.2–4.7, p<0.0001). Theoretical weight overestimated accurate pre-illness weight by 0.21 kg (95% CI: 0.08–0.34, p = 0.002). Post-illness weight underestimated pre-illness weight by 0.19 kg (95% CI: 0.03–0.36, p = 0.02). The prevalence of 5% dehydration according to post-illness weight (21%) was significantly lower than the prevalence estimated by either theoretical weight (60%) or clinical assessment (66%, p<0.0001).These data suggest that post-illness weight is of little value as a gold standard to determine the true level of dehydration. The performance of dehydration signs or scales determined by using post-illness weight as a gold standard has to be reconsidered.

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          Statistical methods for assessing agreement between two methods of clinical measurement.

          In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using correlation coefficients. The use of correlation is misleading. An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
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            Global Illness and Deaths Caused by Rotavirus Disease in Children

            To estimate the global illness and deaths caused by rotavirus disease, we reviewed studies published from 1986 to 2000 on deaths caused by diarrhea and on rotavirus infections in children. We assessed rotavirus-associated illness in three clinical settings (mild cases requiring home care alone, moderate cases requiring a clinic visit, and severe cases requiring hospitalization) and death rates in countries in different World Bank income groups. Each year, rotavirus causes approximately 111 million episodes of gastroenteritis requiring only home care, 25 million clinic visits, 2 million hospitalizations, and 352,000–592,000 deaths (median, 440,000 deaths) in children <5 years of age. By age 5, nearly every child will have an episode of rotavirus gastroenteritis, 1 in 5 will visit a clinic, 1 in 60 will be hospitalized, and approximately 1 in 293 will die. Children in the poorest countries account for 82% of rotavirus deaths. The tremendous incidence of rotavirus disease underscores the urgent need for interventions, such as vaccines, to prevent childhood deaths in developing nations.
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              Is this child dehydrated?

              The ability to assess the degree of dehydration quickly and accurately in infants and young children often determines patient treatment and disposition. To systematically review the precision and accuracy of symptoms, signs, and basic laboratory tests for evaluating dehydration in infants and children. We identified 1561 potential articles by multiple search strategies of the MEDLINE database through PubMed. Searches of bibliographies of retrieved articles, the Cochrane Library, textbooks, and private collections of experts in the field yielded an additional 42 articles. Twenty-six of 1603 reviewed studies contained original data on the precision or accuracy of findings for the diagnosis of dehydration in young children (1 month to 5 years). Two of the 3 authors independently reviewed and abstracted data for estimating the likelihood ratios (LRs) of diagnostic tests. We eliminated 13 of the 26 studies because of the lack of an accepted diagnostic standard or other limitation in study design. The other 13 studies were included in the review. The most useful individual signs for predicting 5% dehydration in children are an abnormal capillary refill time (LR, 4.1; 95% confidence interval [CI], 1.7-9.8), abnormal skin turgor (LR, 2.5; 95% CI, 1.5-4.2), and abnormal respiratory pattern (LR, 2.0; 95% CI, 1.5-2.7). Combinations of examination signs perform markedly better than any individual sign in predicting dehydration. Historical points and laboratory tests have only modest utility for assessing dehydration. The initial assessment of dehydration in young children should focus on estimating capillary refill time, skin turgor, and respiratory pattern and using combinations of other signs. The relative imprecision and inaccuracy of available tests limit the ability of clinicians to estimate the exact degree of dehydration.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                29 January 2013
                : 8
                : 1
                : e55063
                Affiliations
                [1 ]Univ Lille Nord de France, UDSL, Lille, France
                [2 ]EA2694, Public Health, Epidemiology and Quality of Care, Lille, France
                [3 ]Paediatric Emergency and Infectious Diseases Unit, CHU Lille, Lille, France
                [4 ]Department of Biostatistics, CHU Lille, Lille, France
                The Ohio State Unversity, United States of America
                Author notes

                Competing Interests: The authors received funding from a commercial source (Sanofi-Pasteur MSD pharmaceuticals, France). This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: IP FD AM. Performed the experiments: IP FD VH AM. Analyzed the data: IP EC AD. Contributed reagents/materials/analysis tools: IP FD AD AM. Wrote the paper: IP FD EC VH AD AM.

                Article
                PONE-D-12-21302
                10.1371/journal.pone.0055063
                3558475
                23383058
                eedd0a4f-7ae2-4fc0-bcac-251ef9e3ed21
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 July 2012
                : 21 December 2012
                Page count
                Pages: 6
                Funding
                The study was supported by grants from Sanofi-Pasteur MSD pharmaceuticals, France. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Cohort Studies
                Prospective Studies
                Critical Care and Emergency Medicine
                Fluid Management
                Pediatric Critical Care
                Gastroenterology and Hepatology
                Pediatric Gastroenterology
                Pediatrics
                Pediatric Critical Care
                Pediatric Gastroenterology

                Uncategorized
                Uncategorized

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