Prevalence, risk factors and outcomes of neonatal hypothermia at admission at a tertiary neonatal unit, Kigali, Rwanda - a cross-sectional study.

INTRODUCTION: Thermoregulation remains a key physiological challenge faced by a neonate after delivery. We assessed the prevalence, risk factors and outcomes of hypothermia in admitted neonates at a tertiary teaching hospital of Kigali city in Rwanda. MATERIALS AND METHODS: A cross-sectional study was conducted, from July 2013 to September 2017, of neonates who were admitted in the neonatology unit of the University Teaching Hospital of Kigali (CHUK) and whose admission temperature were recorded. Data were extracted from the neonatal database (registry). RESULTS: The neonatal database contained 1021 eligible neonates of which 15% were outborn. Hypothermia was found at admission in 280 of the 1021 eligible neonates (27%). The extremely preterm (<28 weeks) were significantly more likely to become hypothermic compared to term neonates (AOR = 6.81, CI: 3.39-13.71, p < .001). Mortality rate was higher in hypothermic infants (AOR = 1.89, CI: 1.16-3.1, p = .011). Length of hospital stay (22 versus 13 days, p < .001), in all surviving infants was higher in neonates admitted hypothermic, though not in the subgroups of infants < 32-week gestation. DISCUSSION: Thermal protection of the neonate immediately after birth is essential. In our tertiary neonatal unit, we identify nearly one-third of neonates are hypothermic at admission and this is associated with higher mortality and increased length of hospital stay. The ten-steps of the WHO "warm chain" may present an analytic roster for maternity and neonatal teams to pinpoint targets for interventional research and quality improvement work in order to achieve better outcomes.

Retinopathy of prematurity in Rwanda: a prospective multi-centre study following introduction of screening and treatment services.

OBJECTIVES: To investigate risk factors for retinopathy of prematurity (ROP) in a newly established ROP screening and management programme in Rwanda, Africa. METHODS: In this multi-centre prospective study 795/2222 (36%) babies fulfilled the inclusion criteria (gestational age (GA) < 35 weeks or birth weight (BW) < 1800 g or unstable clinical course), 424 (53%) of whom were screened for ROP. 270 died before the first screening. ROP and treatment-warranted ROP were classified using the revised International Classification of ROP (2005). Data on maternal and perinatal risk factors were collected from daily neonatal notes. RESULTS: 31 babies (7.3%, CI 5.0-10.2) developed any ROP, 13 of whom (41.9%, CI 24.5-60.9) required treatment. ROP was seen in six neonates with GA > 30 weeks and BW > 1500 g, one of whom required treatment. In univariate analysis the following were associated with any ROP: increasing number of days on supplemental oxygen (OR 2.1, CI 1.5-3.0, P < 0.001), low GA (OR 3.4, CI 1.8-6.4, P < 0.001), low BW (OR 2.3, CI 1.5-3.4, P < 0.001), at least one episode of hyperglycaemia ≥ 150 mg/dl (OR 6.6, CI 2.0-21.5, P < 0.001), blood transfusion (OR 3.5, CI 1.6-7.4, P < 0.001) or sepsis (OR 3.2, CI 1.2-8.6, P = 0.01). In multivariate analysis longer exposure to supplemental oxygen (OR 2.1, CI 1.2-3.6, P = 0.01) and hyperglycaemia (OR 3.5, CI 1.0-12.4, P = 0.05) remained significant. CONCLUSIONS: ROP has become an emerging health problem in Rwanda, requiring programmes for screening and treatment. ROP screening is indicated beyond the 2013 American Academy guidelines. Improved quality of neonatal care, particularly oxygen delivery and monitoring is needed.

Correction: Retinopathy of prematurity in Rwanda: a prospective multi-centre study following introduction of screening and treatment services.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.In the original Article, Erwin Van Kerschaver was erroneously attributed an affiliation. This has been corrected in the XML,HTML and PDF versions of this Article.

Establishing a neonatal database in a tertiary hospital in Rwanda - an observational study.

Background: Monitoring and evaluation is vital in the quest to improve the quality of care and to reduce the morbidity and mortality of neonates in a resource-limited setting. Databases offer several advantages such as data on large cohorts of neonates and from multiple centres. Aim: To establish a minimal dataset neonatal database in Kigali, Rwanda and to assess the quality and timing of the data entry process. Secondary objectives were to describe survival rates and associated risk factors. Methods: A cross-sectional, observational study was undertaken at a tertiary hospital in Kigali, Rwanda. The Rwanda Neonatal Data Collection Form was designed specifically for the database, based on the Vermont-Oxford Network neonatal data-collection tool with locally relevant amendments. All admitted neonates were enrolled during the study period of 2011-2017 with ongoing data-collection. Infants were recruited and data collected prospectively and cross-checked retrospectively with the inclusion of basic data on neonates who were not initially recruited prospectively. Results: 3391 analysable cases were recruited: 1420 prospective and 1971 retrospective cases. Prospective data collection peaked at 90%. Data entry was not always complete with data-points left blank with only 21% having adequate data available (0-25% missing). All-cause mortality during the study period was 16% and annual mortality ranged from 12% to 24%. On multivariate analysis, place of birth (AOR 2.17), small-for-gestational-age (AOR 2.05) and gestational age were all positively associated with survival. Conclusions: An academic setting in a low- or middle-income country can create and maintain a neonatal database without funding and produce a wealth of actionable results. Throughout the process, there were considerable challenges which must be addressed if such a database is to be optimised, maintained and created in other clinical sites. Abbreviations: CHUK: Centre Hospitalier et Universitaire de Kigali (University Teaching Hospital of Kigali); CPAP: continuous positive airway pressure; HCP: Healthcare professional; HRH, Human Resources for Health Programme; LMIC: low- and middle-income countries; MeSH: Medical subject headings; MoH: Ministry of Health; NAR: Newborn admission record; QI: Quality improvement; REDCap: Research electronic data capture; RNDB: Rwanda neonatal database; RNDCF: Rwanda neonatal data collecion form; SGA: Small for gestational age; STROBE: Strengthening the reporting of observational studies in epidemiology; VON: The Vermont-Oxford Network.