Literature DB >> 15718000

[Validation of a respiratory polygraphy system in the diagnosis of sleep apnea syndrome].

A Candela1, L Hernández, S Asensio, J Sánchez-Payá, J Vila, N Benito, S Romero.   

Abstract

OBJECTIVE: To validate a cardiorespiratory polygraphy system (BITMED NGP 140) by comparing it to conventional polysomnography in the diagnosis of sleep apnea-hypopnea syndrome. PATIENTS AND METHODS: Polysomnography and cardio-respiratory polygraphy were performed simultaneously on 103 consecutive patients referred because of suspected sleep apnea-hypopnea syndrome. The Bland and Altman method and intraclass correlation coefficients were used to assess agreement between the 2 methods of measurement. Receiver operating characteristic (ROC) curves were used to calculate the yield of cardiorespiratory polygraphy compared to that of conventional polysomnography.
RESULTS: Ninety-two valid studies were obtained for 72 men and 20 women (mean [SD] age: 52.4 [12] years). By the Bland and Altman method, the difference between the respiratory event index obtained with the BITMED NGP140 and the apnea-hypopnea index (AHI) obtained by conventional polysomnography was 7.6 (13.2) in the manual analysis (95% confidence interval [CI], 4.9-10.4) and 12 (15.3) (95% CI, 8.8-15.3) in the automatic analysis. For a corrected AHI (AH/total time in bed) mean differences were -2.2 (5.9) and 2.4 (8.2) for manual and automatic analysis. The intraclass correlation coefficients were greater than 0.94. The areas under the ROC curves of the respiratory event index were greater than 0.97 for all cut points. For an AHI of 30 or higher, the best cut-off point determined by manual cardiorespiratory polygraphy analysis was 27 (sensitivity, 98% and specificity, 98%). For the different cut-off points cardiorespiratory polygraphy correctly classified between 92% and 98% of patients in both the manual and automatic analyses.
CONCLUSIONS: The BITMED NGP140 had good agreement with conventional polysomnography for the measurement of respiratory events and provided high diagnostic yield.

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Mesh:

Year:  2005        PMID: 15718000     DOI: 10.1016/s1579-2129(06)60400-x

Source DB:  PubMed          Journal:  Arch Bronconeumol        ISSN: 0300-2896            Impact factor:   4.872


  8 in total

1.  [Diagnostic accuracy of outpatient polygraphy devices : A comparison with inpatient polysomnography in clinical routine].

Authors:  J Lindemann; B Augenstein; F Stupp; B Saul; M Reichert; R Riepl; F Sommer; A-S Grossi
Journal:  HNO       Date:  2017-02       Impact factor: 1.284

2.  Validity of sheet-type portable monitoring device for screening obstructive sleep apnea syndrome.

Authors:  Mina Kobayashi; Kazuyoshi Namba; Satoru Tsuiki; Masaki Nakamura; Masamichi Hayashi; Yuuki Mieno; Hiromi Imizu; Shiho Fujita; Atsushi Yoshikawa; Hiroki Sakakibara; Yuichi Inoue
Journal:  Sleep Breath       Date:  2012-06-16       Impact factor: 2.816

Review 3.  Diagnostic accuracy of level 3 portable sleep tests versus level 1 polysomnography for sleep-disordered breathing: a systematic review and meta-analysis.

Authors:  Mohamed El Shayeb; Leigh-Ann Topfer; Tania Stafinski; Lawrence Pawluk; Devidas Menon
Journal:  CMAJ       Date:  2013-11-11       Impact factor: 8.262

4.  Significance of including a surrogate arousal for sleep apnea-hypopnea syndrome diagnosis by respiratory polygraphy.

Authors:  Juan F Masa; Jaime Corral; Javier Gomez de Terreros; Joaquin Duran-Cantolla; Marta Cabello; Luis Hernández-Blasco; Carmen Monasterio; Alberto Alonso; Eusebi Chiner; Felipe Aizpuru; Jose Zamorano; Ricardo Cano; Jose M Montserrat; Estefania Garcia-Ledesma; Ricardo Pereira; Laura Cancelo; Angeles Martinez; Lirios Sacristan; Neus Salord; Miguel Carrera; José N Sancho-Chust; Cristina Embid
Journal:  Sleep       Date:  2013-02-01       Impact factor: 5.849

5.  Validation of a portable monitoring system for the diagnosis of obstructive sleep apnea syndrome.

Authors:  Rogerio Santos-Silva; Denis E Sartori; Viviane Truksinas; Eveli Truksinas; Fabiana F F D Alonso; Sergio Tufik; Lia R A Bittencourt
Journal:  Sleep       Date:  2009-05       Impact factor: 5.849

6.  Characterization of primary symptoms leading to Chinese patients presenting at hospital with suspected obstructive sleep apnea.

Authors:  Zhe Li; Lina Du; Yun Li; Lili Huang; Fei Lei; Linghui Yang; Tao Li; Xiangdong Tang
Journal:  J Thorac Dis       Date:  2014-05       Impact factor: 2.895

7.  Severe Obstructive Sleep Apnea Is Associated with Alterations in the Nasal Microbiome and an Increase in Inflammation.

Authors:  Benjamin G Wu; Imran Sulaiman; Jing Wang; Nan Shen; Jose C Clemente; Yonghua Li; Robert J Laumbach; Shou-En Lu; Iris Udasin; Oanh Le-Hoang; Alan Perez; Shahnaz Alimokhtari; Kathleen Black; Michael Plietz; Akosua Twumasi; Haley Sanders; Patrick Malecha; Bianca Kapoor; Benjamin D Scaglione; Anbang Wang; Cameron Blazoski; Michael D Weiden; David M Rapoport; Denise Harrison; Nishay Chitkara; Eugenio Vicente; José M Marin; Jag Sunderram; Indu Ayappa; Leopoldo N Segal
Journal:  Am J Respir Crit Care Med       Date:  2019-01-01       Impact factor: 21.405

8.  The usefulness of the Spanish version of the STOP-Bang questionnaire for screening for moderate or severe sleep apnea syndrome in primary care.

Authors:  Rafaela Muñoz-Gómez; Esther Navarrete-Martínez; Jesús Serrano-Merino; Fátima Silva-Gil; Ana Roldán-Villalobos; Enrique Martín-Rioboó; Javier Ruiz-Moruno; Esperanza Romero-Rodríguez; Jesus Gonzalez-Lama; Manuel Vaquero-Abellán; Luis Angel Perula-de-Torres
Journal:  Front Public Health       Date:  2022-09-09
  8 in total

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