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1.
J Pediatr ; 227: 108-113.e2, 2020 12.
Artículo en Inglés | MEDLINE | ID: mdl-32702426

RESUMEN

OBJECTIVE: To determine the prevalence of low mean corpuscular volume (MCV) in newborn infants admitted to the neonatal intensive care unit and to assess low MCV as a diagnostic test for alpha thalassemia. STUDY DESIGN: Retrospective analysis of all infants admitted to the neonatal intensive care unit between January 2010 and October 2018 for which a complete blood count was performed during the first 3 postnatal days. Infants with a low MCV were compared with those with a normal MCV. Infants with positive hemoglobin Bart (Hb Bart) were compared with those withnegative Hb Bart. Low MCV was also evaluated as a diagnostic test for alpha thalassemia. RESULTS: A total of 3851 infants (1386 preterm, 2465 term) met the inclusion criteria and 853 (22.2%) had a low MCV. A low MCV was more common in term (25%) compared with preterm infants (17.1%, P < .001). Hb Bart positive newborn screening was identified in 133 infants (3.5%). Hb Bart was positive in 11.1% of infants with low MCV compared with 1.3% with normal MCV (P < .001). The sensitivity, specificity, positive predictive value, and negative predictive value of low MCV for the diagnosis of alpha thalassemia were 71.4%, 79.6%, 11.3%, and 98.7%, respectively. CONCLUSIONS: As Hb Bart positive newborn screens were seen in only 11.1% of infants with microcytosis, further diagnostic investigation may be warranted in individual infants. Further research to correlate microcytosis with iron status in infants and mothers is needed as well as studies using DNA analysis for the evaluation of alpha thalassemia variants.


Asunto(s)
Índices de Eritrocitos , Hemoglobinas Anormales/análisis , Talasemia alfa/sangre , Estudios de Casos y Controles , Femenino , Humanos , Recién Nacido , Unidades de Cuidado Intensivo Neonatal , Masculino , Tamizaje Neonatal/métodos , Valor Predictivo de las Pruebas , Embarazo , Estudios Retrospectivos , Talasemia alfa/diagnóstico
2.
J Pediatr ; 213: 52-57, 2019 10.
Artículo en Inglés | MEDLINE | ID: mdl-31208783

RESUMEN

OBJECTIVE: To validate the recently modified Kaiser Permanente early-onset sepsis (EOS) calculator with a higher baseline incidence in chorioamnionitis exposed neonates. STUDY DESIGN: This is a retrospective study of chorioamnionitis-exposed neonates born at ≥35 weeks of gestation with a known EOS incidence of 4.3/1000. The risk and management categories were calculated using the calculator with an incidence of 4/1000. The results were compared with a previous analysis of the same cohort that used an EOS incidence of 0.5/1000. RESULTS: In our sample, the EOS calculator recommends at least a blood culture in 834 of 896 (93.1%) and empiric antibiotics in 533 of 896 (59.5%) chorioamnionitis-exposed neonates when using an EOS incidence of 4/1000. This captures 5 of 5 neonates (100%) with EOS. When using a baseline EOS incidence of 0.5/1000, the calculator recommends at least a blood culture in only 289 of 896 (32.2%) and empiric antibiotics in only 209 of 896 (23.3%) neonates, but fails to recommend empiric antibiotics in 2 of 5 neonates with EOS (40%). CONCLUSIONS: When using an EOS risk of 4 of 1000 in infants exposed to mothers with chorioamnionitis, the EOS calculator has the ability to capture an increased number of neonates with culture-positive EOS. However, this change also leads to nearly a 3-fold increase in the use of empiric antibiotics and an evaluation with blood culture in almost all infants born to mothers with chorioamnionitis.


Asunto(s)
Corioamnionitis/etiología , Sepsis Neonatal/diagnóstico , Sepsis Neonatal/epidemiología , Antibacterianos/uso terapéutico , Femenino , Humanos , Incidencia , Recién Nacido , Masculino , Sepsis Neonatal/terapia , Embarazo , Estudios Retrospectivos , Medición de Riesgo
3.
J Pediatr ; 195: 48-52.e1, 2018 04.
Artículo en Inglés | MEDLINE | ID: mdl-29275925

RESUMEN

OBJECTIVES: To evaluate the performance of the early-onset sepsis (EOS) risk calculator in a cohort of neonates born to mothers with clinical chorioamnionitis, and to compare the diagnostic utility of the EOS calculator, clinical signs, and laboratory evaluations for correctly identifying EOS in this cohort. STUDY DESIGN: This was a retrospective study of neonates born at ≥35 weeks of gestation to mothers with chorioamnionitis. The risk and management categories for all neonates were calculated using the EOS calculator, and these results were analyzed and compared with laboratory data and clinical signs. RESULTS: Of the 1159 neonates born to mothers with chorioamnionitis, 5 (0.43%) had culture-proven EOS. Data for calculation of EOS risk were available for 896 neonates, including the 5 neonates with culture-proven EOS. The management recommendation based on the calculator was no empiric antibiotic treatment for 67% of the neonates, including 2 of the 5 with EOS. All neonates with culture-proven EOS had abnormal complete blood counts and C-reactive protein levels at 6-12 hours. Three of the 5 neonates with EOS had clinical signs of sepsis. CONCLUSIONS: The risk of EOS in neonates born to mothers with chorioamnionitis is low. The use of an EOS calculator may reduce the use of empiric antibiotics in chorioamnionitis-exposed neonates, but in our cohort, some neonates with culture-confirmed EOS would have been missed. A larger study is needed to evaluate whether limiting antibiotics to chorioamnionitis-exposed neonates with clinical and/or laboratory signs of infection can safely decrease antibiotic use.


Asunto(s)
Corioamnionitis , Técnicas de Apoyo para la Decisión , Sepsis Neonatal/diagnóstico , Antibacterianos/uso terapéutico , Profilaxis Antibiótica , Proteína C-Reactiva/análisis , Corioamnionitis/diagnóstico , Corioamnionitis/tratamiento farmacológico , Corioamnionitis/epidemiología , Femenino , Edad Gestacional , Humanos , Recién Nacido , Recien Nacido Prematuro , Masculino , Sepsis Neonatal/etiología , Sepsis Neonatal/prevención & control , Guías de Práctica Clínica como Asunto , Valor Predictivo de las Pruebas , Embarazo , Estudios Retrospectivos , Medición de Riesgo , Factores de Riesgo
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