Ontology highlight
ABSTRACT: Objective
Early detection of specific signs and symptoms to predict severe illness is essential to prevent infant mortality. As a continuation of the results from the multicenter Young Infants Clinical Signs and Symptoms (YICSS) study, we present here the performance of the seven-sign algorithm in 3 age categories (0-6 days, 7-27 days and 28-59 days) in Pakistani infants aged 0-59 days.Results
From September 2003 to November 2004, 2950 infants were enrolled (age group 0-6 days?=?1633, 7-27 days?=?817, 28-59 days?=?500). The common reason for seeking care was umbilical redness or discharge (29.2%) in the 0-6 days group. Older age groups presented with cough (16.9%) in the 7-27 age group and (26.9%) infants in the 28-59 days group. Severe infection/sepsis was the most common primary diagnoses in infants requiring hospitalization across all age groups. The algorithm performed well in every age group, with a sensitivity of 85.9% and specificity of 71.6% in the 0-6 days age group and a sensitivity of 80.5% and specificity of 80.2% in the 28-59 days group; the sensitivity was slightly lower in the 7-27 age group (72.4%) but the specificity remained high (83.1%).
SUBMITTER: Shahid S
PROVIDER: S-EPMC7903754 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Shahid Shahira S Tikmani Shiyam Sunder SS Nayani Kanwal K Munir Ayesha A Brown Nick N Zaidi Anita K M AKM Jehan Fyezah F Nisar Muhammad Imran MI
BMC research notes 20210224 1
<h4>Objective</h4>Early detection of specific signs and symptoms to predict severe illness is essential to prevent infant mortality. As a continuation of the results from the multicenter Young Infants Clinical Signs and Symptoms (YICSS) study, we present here the performance of the seven-sign algorithm in 3 age categories (0-6 days, 7-27 days and 28-59 days) in Pakistani infants aged 0-59 days.<h4>Results</h4>From September 2003 to November 2004, 2950 infants were enrolled (age group 0-6 days = ...[more]