ABSTRACT
OBJECTIVES: To assess clinically asymptomatic infants with single-ventricle physiology (SVP) for sleep-disordered breathing (SDB) in the supine and car seat positions using polysomnography. Polysomnography results also were compared with results of a standard Car Seat Challenge to measure the dependability of the standard Car Seat Challenge. STUDY DESIGN: This was an observational study of 15 infants with SVP. Polysomnography data included Obstructive Index, Central Index, Arousal Index, Apnea Hypopnea Index, and sleep efficiency. Polysomnography heart rate and oxygen saturation data were used to compare polysomnography with the standard Car Seat Challenge. RESULTS: Polysomnography demonstrated that all 15 infants had SDB and 14 had obstructive sleep apnea (Obstructive Index ≥1/hour) in both the supine and car seat positions. Infants with SVP had a statistically significant greater median Obstructive Index in the car seat compared with supine position (6.3 vs 4.2; P = .03), and median spontaneous Arousal Index was greater in the supine position compared with the car seat (20.4 vs 15.2; P = .01). Comparison of polysomnography to standard Car Seat Challenge results demonstrated 5 of 15 (33%) of infants with SVP with abnormal Obstructive Index by polysomnography would have passed a standard Car Seat Challenge. CONCLUSIONS: Infants with SVP without clinical symptoms of SDB may be at high risk for SDB that appears worse in the car seat position. The standard Car Seat Challenge is not dependable in the identification of infants with SVP and SDB. Further studies are warranted to further delineate its potential impact of SDB on the clinical outcomes of infants with SVP.
Subject(s)
Asymptomatic Diseases , Heart Defects, Congenital/physiopathology , Heart Rate/physiology , Heart Ventricles/abnormalities , Sleep Apnea Syndromes/physiopathology , Female , Follow-Up Studies , Heart Defects, Congenital/complications , Heart Defects, Congenital/diagnosis , Humans , Infant, Newborn , Male , Oxygen Consumption , Polysomnography , Prospective Studies , Severity of Illness Index , Sleep Apnea Syndromes/complications , Sleep Apnea Syndromes/diagnosisABSTRACT
Portable sleep studies may play an important role to take decisions on patients referred for suspicion of Sleep Apnea-Hypopnea Syndrome (SAHS). The aim of this study was to evaluate the diagnostic accuracy of automated analysis of ApneaLinkT in patients with suspicion of SAHS. All participants (75) performed the ApneaLink and polysomnography (PSG) simultaneously in the sleep laboratory. The two recordings were interpreted blindly. The ApneaLink software calculated: (1) risk indicator (RI)-a combination of apnea/hypopnea index (AHI) plus inspiratory flow limitation events and (2) the AHI. ApneaLinkT and SAHS were defined in three ways: AHI or respiratory disturbance index (RDI) = 5, 10 and 15 respectively. ROC curves analysis was performed. The sensitivity (S), specificity (E) and positive and negative likelihood ratio (LR+, LR-) for the different thresholds for RI or AHI were calculated; 66 patients were included (47 men, mean age 51, median RDI 10.6, mean BMI 29.3 kg/m²). The best cut off points of RI were: SAHS = RDI = 5: RI > 9 (S 80%, E 100%, LR- 0.20); SAHS = RDI = 10: RI > 13 (S 92%, E 93%, LR+ 13.7 LR- 0.089); SAHS = RDI = 15 =: RI > 16 (S 93.5%, E 91%, LR+ 10.9, LR- 0.071). The AHI had a similar diagnostic accuracy to RI for the different definitions of SAHS. The RI and AHI obtained from automated analysis of ApneaLinkT were highly sensitive and specific to diagnose moderate to severe SAHS.
Los equipos portátiles para estudios del sueño pueden tener un rol importante para tomar decisiones en pacientes con sospecha de Síndrome Apneas-Hipopneas del Sueño (SAHS). El objetivo del estudio fue evaluar la exactitud diagnóstica del análisis automático del ApneaLinkT en pacientes con sospecha de SAHS. Setenta y cinco sujetos realizaron simultáneamente el ApneaLinkT y una polisomnografía (PSG) en el laboratorio de sueño. Los dos registros fueron interpretados en forma ciega. Un programa calculó: (1) el índice apnea/hipopnea (IAH), (2) el indicador de riesgo (IR)-IAH más respiraciones con limitación al flujo aéreo. ApneaLinkT y SAHS fueron definidos como: IAH o IPR (índice de perturbación respiratoria) = 5, 10 y 15 respectivamente. Se calcularon la sensibilidad (S), especificidad (E) y razón de probabilidad positiva y negativa (RP+, RP-) para los diferentes puntos de corte fueron calculadas. Se incluyeron 66 pacientes (47 varones, edad media 51, IPR mediano 10.6, IMC medio 29.3 kg/m²). Los mejores puntos de corte del IR fueron: SAHS = IPR = 5: IR > 9 (S 80%, E 100%, RP- 0.20); SAHS = IPR = 10: IR >13 (S 92%, E 93%, RP+ 13.7 RP- 0.089); SAHS = IPR = 15: IR > 16 (S 93.5%, E 91%, RP+ 10.9, RP- 0.071). El IAH tuvo una exactitud diagnóstica similar al IR para las diferentes definiciones de SAHS. El IR y el IAH obtenidos del análisis automático del ApneaLinkT fueron muy sensibles y específicos para diagnosticar SAHS moderado a grave.