External validation of postnatal gestational age estimation using newborn metabolic profiles in Matlab, Bangladesh.

This study sought to evaluate the performance of metabolic gestational age estimation models developed in Ontario, Canada in infants born in Bangladesh. Cord and heel prick blood spots were collected in Bangladesh and analyzed at a newborn screening facility in Ottawa, Canada. Algorithm-derived estimates of gestational age and preterm birth were compared to ultrasound-validated estimates. 1036 cord blood and 487 heel prick samples were collected from 1069 unique newborns. The majority of samples (93.2% of heel prick and 89.9% of cord blood) were collected from term infants. When applied to heel prick data, algorithms correctly estimated gestational age to within an average deviation of 1 week overall (root mean square error = 1.07 weeks). Metabolic gestational age estimation provides accurate population-level estimates of gestational age in this data set. Models were effective on data obtained from both heel prick and cord blood, the latter being a more feasible option in low-resource settings.

Risk factors for sclerema neonatorum in preterm neonates in Bangladesh.

BACKGROUND: This study presents a retrospective analysis of risk factors for sclerema neonatorum in preterm neonates in Bangladesh. METHODS: Preterm neonates admitted to Dhaka Shishu Hospital in Bangladesh were enrolled in a clinical trial to evaluate the effects of topical treatment with skin barrier-enhancing emollients on prevention of sepsis and mortality. Four hundred ninety-seven neonates were enrolled in the study and 51 (10.3%) developed sclerema neonatorum. We explored risk factors for sclerema neonatorum by comparing patients with and without sclerema neonatorum. Diagnosis of sclerema neonatorum was based on the presence of uniform hardening of skin and subcutaneous tissues to the extent that the skin could not be pitted nor picked up and pinched into a fold. Cultures of blood and cerebrospinal fluid were obtained in all neonates with clinical suspicion of sepsis. RESULTS: In multivariate analysis, lower maternal education (OR: 1.94; 95% CI: 1.02-3.69; P = 0.043), and signs of jaundice (OR: 2.82; 95% CI: 1.19-6.69; P = 0.018) and poor feeding (OR: 4.71; 95% CI: 1.02-21.74; P = 0.047) on admission were risk factors for developing sclerema neonatorum. The incidence rate ratio of sepsis in neonates who developed sclerema neonatorum was 1.81 (95% CI: 1.16-2.73; P = 0.004), primarily due to Gram-negative pathogens, and risk of death in infants with sclerema neonatorum was 46.5-fold higher (P < 0.001, 95% CI: 6.37-339.81) than for those without sclerema neonatorum. CONCLUSIONS: Sclerema neonatorum was a relatively common, grave condition in this setting, heralded by poor feeding, jaundice, and bacteremia, and signaling the need for prompt antibiotic treatment.