Modeling of Respiratory Rates of Preterm Infants Admitted to Neonatal Intensive Care Units in Ethiopia
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Date
2020-06-07
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Addis Ababa University
Abstract
Respiratory rate problem is the major reason of morbidity and mortality in infancy and childhood which has a long-term impact on health outcomes in adult life. The main objective of the study was identifying risk factors associated with preterm infant respiratory rate. Secondary data was taken from 2586 infants admitted to the neonatal intensive care unit of five hospitals in three regions of Ethiopia from July 1, 2016 to May 31, 2018. The result of the study showed that, the magnitude of preterm infants who were born with abnormal respiratory rate was 1270(49.1%). According to generalized estimating equation modeling we arrived at the finding results. Controlling all other variables in the model, female preterm child were 13% less likely to have abnormal respiratory rate than male. (aOR= 0.869, 95% CI: 0.758, 0.996). Similarly, preterm infants who have extremely preterm were 85% more likely to have abnormal respiratory rate than moderate preterm (aOR= 1.855, 95% CI: 1.385, 2.481) and preterm child who have very preterm were 60% more likely to have abnormal respiratory rate than moderate preterm (aOR= 1.603, 95% CI: 1.220, 2.106). Those preterm infants who have higher birth weight were less likely to have abnormal respiratory rate; those preterm infants who have 1500-2500 grams were 27% less likely to have abnormal respiratory rate than below 1500grams (aOR= 0.733, 95% CI: 0.604, 0.889). According to generalize linear mixed model the finding results given the same random intercept , female preterm child were 14% less likely to have abnormal respiratory rate than male. Similarly, very preterm and extremely very preterm were 66% and 97% more likely to have abnormal respiratory rate than moderate preterm respectively. Child born with birth weight between 1500-2500 were 18% less likely to have abnormal respiratory rate than birth weight less than 1500grams and child born mother who from diabetic disease were 99% more likely abnormal respiratory rate than mothers who are not diabetic disease. In conclusion, infant sex, gestational age, and birth weight were statistically significant factors of respiratory rate.
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Modeling, Respiratory, Rates, Preterm, Infants Admitted, Neonatal, Intensive, Care Units, Ethiopia