Markers of serious illness in infants under 6 months old presenting to a children's hospital. 1990

P H Hewson, and S M Humphries, and D M Roberton, and J M McNamara, and M J Robinson
Department of General Paediatrics, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia.

Six hundred and eighty two assessments were performed on 641 babies under 6 months of age who presented to the emergency department of the Royal Children's Hospital, Melbourne, to try and determine the best markers of serious illness in young infants. Detailed, specific questions that quantified a baby's functional response to illness gave the most useful information. As a group, the six most common predictive symptoms of serious illness were: taking less than half the normal amount of feed over the preceding 24 hours, breathing difficulty, having less than four wet nappies in the preceding 24 hours, decreased activity, drowsiness, and a history of being both pale and hot. The presence of the corresponding sign on examination increased the predictive value of the symptom by 10-20%. Specific, highly predictive (though less common) signs included moderate to severe chest wall recession, respiratory grunt, cold calves, and a tender abdomen. A list of low, medium, and high risk symptoms has been constructed and the five measurements that were most useful in predicting serious illness in young infants have been detailed.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D007231 Infant, Newborn An infant during the first 28 days after birth. Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D010372 Pediatrics A medical specialty concerned with maintaining health and providing medical care to children from birth to adolescence.
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D012017 Referral and Consultation The practice of sending a patient to another program or practitioner for services or advice which the referring source is not prepared to provide. Consultation,Gatekeepers, Health Service,Hospital Referral,Second Opinion,Consultation and Referral,Health Service Gatekeepers,Hospital Referrals,Referral,Referral, Hospital,Referrals, Hospital,Consultations,Gatekeeper, Health Service,Health Service Gatekeeper,Opinion, Second,Opinions, Second,Referrals,Second Opinions
D006305 Health Status Indicators The measurement of the health status for a given population using a variety of indices, including morbidity, mortality, and available health resources. Health Risk Appraisal,Health Status Index,Health Status Indexes,Appraisal, Health Risk,Appraisals, Health Risk,Health Risk Appraisals,Health Status Indicator,Health Status Indices,Index, Health Status,Indexes, Health Status,Indicator, Health Status,Indicators, Health Status,Indices, Health Status,Risk Appraisal, Health,Risk Appraisals, Health
D006760 Hospitalization The confinement of a patient in a hospital. Hospitalizations
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity

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