Validation of sleep‐related breathing disorder scale in Hong Kong Chinese snoring children

Chan, Andrew; Chan, Chung-hong; Ng, Daniel

doi:10.1002/ppul.22505

Cited by 13 publications

(21 citation statements)

References 17 publications

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“…Least common in psychometric screening were steps 5 (13.2%), 3 (13.2%), and again 11 (15.1%). ROC analyses were performed in 11 studies (20.8%): ESS (52), AIS and SQI (5), JSQ (58,59), PSQ (108,109,112), CAS-15 (17), CSRQ (47), and Comics (138). Almost fulfilling all steps were: CAS-15 (Goldstein et al, 2012) and Comics (137,138).…”

Section: Tools Psychometrically Evaluatedmentioning

confidence: 99%

“…Psychometric studies of particular interest are those that developed normative values or clinical/community cutoff scores for widespread usage, of which there were overall 18. Norms have been developed for CAS-15 (17), ESS (51, 52), JSQ (58,59), SDSC (120,121), CSHQ and CRSP (25,34), CSRQ (47), MEQ (64,65), NARQoL-21 (70), OSPQ (83), PSQ (108), SNAKE (129), Comic (138), and YSIS (140) (refer to Table 2).…”

Section: Tools With Norm Scoresmentioning

confidence: 99%

See 1 more Smart Citation

Pediatric Sleep Tools: An Updated Literature Review

Sen

Spruyt

2020

Front. Psychiatry

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Since a thorough review in 2011 by Spruyt, into the integral pitfalls of pediatric questionnaires in sleep, sleep researchers worldwide have further evaluated many existing tools. This systematic review aims to comprehensively evaluate and summarize the tools currently in circulation and provide recommendations for potential evolving avenues of pediatric sleep interest. 144 "tool"-studies (70 tools) have been published aiming at investigating sleep in primarily 6-18 years old per parental report. Although 27 new tools were discovered, most of the studies translated or evaluated the psychometric properties of existing tools. Some form of normative values has been established in 18 studies. More than half of the tools queried general sleep problems. Extra efforts in tool development are still needed for tools that assess children outside the 6-to-12-year-old age range, as well as for tools examining sleep-related aspects beyond sleep problems/disorders. Especially assessing the validity of tools has been pursued vis-à-vis fulfillment of psychometric criteria. While the Spruyt et al. review provided a rigorous step-by-step guide into the development and validation of such tools, a pattern of steps continue to be overlooked. As these instruments are potentially valuable in assisting in the development of a clinical diagnosis into pediatric sleep pathologies, it is required that while they are primary subjective measures, they behave as objective measures. More tools for specific populations (e.g., in terms of ages, developmental disabilities, and sleep pathologies) are still needed.

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Section: Tools Psychometrically Evaluatedmentioning

confidence: 99%

Section: Tools With Norm Scoresmentioning

confidence: 99%

Pediatric Sleep Tools: An Updated Literature Review

Sen

Spruyt

2020

Front. Psychiatry

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“…13 SRBD Scale. Five studies [16][17][18][19][20] assessed the SRBD scale of the Pediatric Sleep Questionnaire. They all included DTA data using a score cutoff of 0.33 to diagnose OSA as defined by an AHI > 1 or 1.5.…”

Section: Clinical Scoring Toolsmentioning

confidence: 99%

Accuracy of clinical scoring tools for the diagnosis of pediatric obstructive sleep apnea

2019

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Objectives To assess the diagnostic test accuracy of questionnaire and clinical examination‐based scoring tools in the diagnosis of pediatric obstructive sleep apnea (OSA). Methods A comprehensive literature search was performed to identify studies published from 1960 to 2018 that evaluated the accuracy of clinical scoring tools in the diagnosis of pediatric OSA. Studies that did not include attended polysomnography as a reference standard were excluded. The study populations were children under 18 years old without craniofacial abnormalities, congenital syndromes, or other complex medical conditions. Outcomes measures were diagnostic test accuracy (DTA) statistics including sensitivity, specificity, and area under the curve (AUC) from receiver operating characteristic curve analysis. Results Fifteen different scoring tools were identified. Authors chose different polysomnographic criteria to diagnose OSA. Four of the tools had undergone multiple DTA studies by different authors (OSA Score, Sleep‐Related Breathing Disorder [SRBD] scale, Severity Score, and OSA‐18). The Pediatric Sleep Questionnaire SRBD scale, which is widely used, has a sensitivity of 71% to 84% in included studies, but specificity as low as 13% and a low AUC of 0.57‐0.69, indicating poor diagnostic accuracy. None of the 15 scoring tools performed well enough to be considered accurate diagnostic tests for pediatric OSA. Conclusions A well‐designed questionnaire can provide crucial information on the impact of sleep‐disordered breathing on a child's physical and psychological health, which may not be adequately reflected in objective polysomnography outcomes measures. However, DTA results indicate that published clinical scoring tools do not accurately predict a diagnosis of pediatric OSA as defined by polysomnography outcome measures. Laryngoscope, 130:1034–1043, 2020

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“…El PSQ fue descrito en once estudios (74,166,169,177,179,185,190,191,194,195,197) y su versión resumida de 22 preguntas, la escala SRBD, fue descrita en seis artículos (84, 165,168,170,173,189). Como en su versión original desarrollada por Chervin RD y cols.…”

Section: Pediatric Sleep Questionnaire / Escala Sleep-related Breathi...unclassified

“…Sobre la efectividad del PSQ/SRBD en términos de sensibilidad, especificidad, VPP y VPN, se encontraron en nueve investigaciones (74,84,166,169,170,177,179,191,197). Por lo general, se observó que en todas (74,84,166,169,179,191,197) a excepción de dos (170,177), se halló un valor satisfactorio para la sensibilidad, que fue siempre mayor del 80%.…”

Section: Efectividad Del Pediatric Sleep Questionnaire/ Escala Sleep-...unclassified

Análisis de los métodos más eficaces para el cribado del síndrome de apnea obstructiva del sueño en la clínica dental

Rossi¹

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Introduction: Obstructive sleep apnea (OSA) is a sleep-related breathing disorder, that determines severe sequelae on affected people's health. The gold standard to diagnose OSA is the polysomnography, which however is expensive, time-consuming, laborintensive and not always available. Therefore, OSA is underdiagnosed, and thus, given the severity of its consequences, it represents a significant burden for the health system.To solve this problem easy-to-perform screening methods are needed to identify subjects at high risk of OSA. Dentists are particularly well placed to carry out this initial tests.Objective: To review the available bibliographic data to identify the best screening methods to detect potential OSA patients during dental clinical practice, both for adults and children. Methods:Relevant studies published up to April 2021 were sourced from PubMed, Embase, MEDLINE, Cochrane, and LILACS databases.Results: 93 studies were selected, 52 for adults and 41 for children. The screening methods available to the dentist included questionnaires, pulse oximetry, analyses of the upper airways and anatomical factors. Some of these were found to be adequate tools for certain specific purposes, but none of them presented all the characteristics required to be considered a good screening method for OSA on a standalone basis. It is thus necessary to combine multiple of them to achieve a sufficient precision in OSA detection. This is supported by some of the reviewed studies, but it should be further researched.Dentists have a fundamental role in early detection of potential OSA cases since they can use the methods described in this review to perform an initial screening of the population and address the identified subjects to sleep physicians. Sleep Apnea Clinical Score Flemons WW y cols. (62) 1994 4 + tabla de putuación Cuestionario es el de Berlín (CB) Conferencia sobre el sueño en atención primaria celebrada en Berlín. (63) 1996 11 Escala NOSE Stewart MG y cols. (66) 2004 ASA checklist Grupo de trabajo de la Sociedad Americana de Anestesiólogos. (68) 2006 12 Apnea Risk Evaluation System (ARES) Levendowski DJ y cols. (69) 2007 5 + EES STOP Chung F y cols. (70) 2008 STOP-Bang Chung F y cols. (70) 2008 Four-Variable Screening Tool (4-VST) Takegami M y cols. (71) 2009 Ecuación de 4 variables.

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Validation of sleep‐related breathing disorder scale in Hong Kong Chinese snoring children

Cited by 13 publications

References 17 publications

Pediatric Sleep Tools: An Updated Literature Review

Pediatric Sleep Tools: An Updated Literature Review

Accuracy of clinical scoring tools for the diagnosis of pediatric obstructive sleep apnea

Análisis de los métodos más eficaces para el cribado del síndrome de apnea obstructiva del sueño en la clínica dental

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