Red cell distribution width: a new tool for the severity prediction of sleep apnoea syndrome in children
| Autor: | Josep Miquel Bauça, Mónica de la Peña-Bravo, Alberto Alonso-Fernández, Pilar Sanchis, Paloma Giménez, Nuria Toledo-Pons, Javier Piérola, Daniel Morell-Garcia, José Antonio Peña-Zarza, José María Sánchez, Antonia Barceló |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty lcsh:Medicine 030204 cardiovascular system & hematology 03 medical and health sciences Sleep apnoea syndrome 0302 clinical medicine Internal medicine medicine Sleep study Oxygen saturation (medicine) medicine.diagnostic_test business.industry lcsh:R Area under the curve Complete blood count Red blood cell distribution width Original Articles nervous system diseases respiratory tract diseases 030228 respiratory system Cardiology Biomarker (medicine) business Sleep Body mass index |
| Zdroj: | ERJ Open Research article-version (VoR) Version of Record ERJ Open Research, Vol 6, Iss 4 (2020) |
| ISSN: | 2312-0541 |
| Popis: | Introduction: Red cell distribution width (RDW) is a parameter included in the complete blood count which informs about the size of the circulating red blood cell population and its distribution. In adults, an increase in RDW was shown to be associated both with obstructive sleep apnoea (OSA) and with an increase in cardiovascular mortality. The aim of this study was to determine whether RDW is a potential biomarker for screening children with moderate-severe OSA. Methods: An observational study in snoring patients was performed. All patients underwent a sleep study and were classified either as simple snorers (apnoea-hypopnoea index (AHI) = 1 to = 5 events.h(-1)). Blood analyses (complete blood count and C-reactive protein) were performed for every individual. Results: A total of 175 individuals were recruited. The mean age was 8.3 +/- 3.6 years. Correlation studies between RDW and several sleep-related parameters showed negative significant associations with minimum oxygen saturation, and positive significant associations with oxygen desaturation index (>= 3% and >= 4%), AHI and the arousal index. A predictive model for paediatric severe OSA (AHI >= 5 events.h(-1)) was found based on mean corpuscular haemoglobin concentration (MCHC) 13.1% values, adjusting for body mass index z-score and age (area under the curve 0.657; p=0.004). In addition, differences were found in eosinophil count and C-reactive protein concentrations among the three subgroups. Conclusions: In children, RDW stands out as a biomarker associated with the severity of OSA. The use of RDW and MCHC could be a simple but useful tool for the severity prediction of paediatric OSA in snoring patients. This work was supported by Fondo de Investigacion Sanitaria, Instituto de Salud Carlos III, Spain (grant FIS PI1302120). Funding information for this article has been deposited with the Crossref Funder Registry. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|