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Sensitivity and specificity of four screening sleep-disordered breathing tests in patients with and without cardiovascular disease

  • Hospital Universitario San Ignacio
  • Universidad Javeriana

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Objectives: Polysomnogram is the gold standard for the diagnosis of sleep-disordered breathing (SDB); a sensitive and specific alternative strategy would be ideal, due to its low availability, and screening patients at high risk of OSA is very important. This study aimed to determine the operating characteristics of screening tests in patients with and without cardiovascular disease (CVD). Material and Methods: Epworth sleepiness scale (ESS), Berlin, STOP-bang and Pittsburgh sleep quality index (PSQI) were applied in adults with and without cardiovascular disease in three Colombian cities, as well as anthropometric measurements and a polysomnogram. Operating characteristics were calculated for each test and the best cut-off values in patients with and without CVD were obtained. Results: 964 patients (median age: 58), 662 with and 302 without CVD were included. The prevalence for SDB (AHI ≥5) were 43.4 % (OSA), 16.2% (central apnea), and 12.4 % (other). In patients without CVD, the highest sensitivity for OSA and central apnea was for PSQI (80-85%). The highest specificity was for STOP-bang (68%) and Berlin (78.6%). In CVD the best sensitivity was for PSQI (81.9%) followed by Berlin (71.9%) and the best specificity for STOP-bang (82.1%). No isolated questionnaire showed good diagnostic performance (AUC≤0.6) and the cut-off values had no variations except for ESS. Conclusion: Screening tests showed low operating characteristics for the diagnosis to SDB, but better performance in patients with CVD. They are not recommended as the only diagnostic test, but they can be useful to guide the initial diagnostic process.

Original languageEnglish
Pages (from-to)311-318
Number of pages8
JournalSleep Science
Volume14
Issue number4
DOIs
StatePublished - 30 Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Altitude
  • Questionnaire
  • Respiratory Disorders
  • Scales
  • Screening
  • Sleep Apnea

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