Sex-Specific Prediction Models for Sleep Apnea from the Hispanic Community Health Study/Study of Latinos This article has been presented in abstract form (Shah NA, Hanna DB, Teng Y, et al. Epidemiol Genet Sleep Disordered Breathing. 2014

A5334).

Neomi Shah, David B. Hanna, Yanping Teng, Daniela Sotres-Alvarez, Martica Hall, Jose S. Loredo, Phyllis Zee, Mimi Kim, H. Klar Yaggi, Susan Redline, Robert C. Kaplan

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Objective We developed and validated the first-ever sleep apnea (SA) risk calculator in a large population-based cohort of Hispanic/Latino subjects. Methods Cross-sectional data on adults from the Hispanic Community Health Study/Study of Latinos (2008-2011) were analyzed. Subjective and objective sleep measurements were obtained. Clinically significant SA was defined as an apnea-hypopnea index ≥ 15 events per hour. Using logistic regression, four prediction models were created: three sex-specific models (female-only, male-only, and a sex × covariate interaction model to allow differential predictor effects), and one overall model with sex included as a main effect only. Models underwent 10-fold cross-validation and were assessed by using the C statistic. SA and its predictive variables; a total of 17 variables were considered. Results A total of 12,158 participants had complete sleep data available; 7,363 (61%) were women. The population-weighted prevalence of SA (apnea-hypopnea index ≥ 15 events per hour) was 6.1% in female subjects and 13.5% in male subjects. Male-only (C statistic, 0.808) and female-only (C statistic, 0.836) prediction models had the same predictor variables (ie, age, BMI, self-reported snoring). The sex-interaction model (C statistic, 0.836) contained sex, age, age × sex, BMI, BMI × sex, and self-reported snoring. The final overall model (C statistic, 0.832) contained age, BMI, snoring, and sex. We developed two websites for our SA risk calculator: one in English (https://www.montefiore.org/sleepapneariskcalc.HTML) and another in Spanish (http://www.montefiore.org/sleepapneariskcalc-es.HTML). Conclusions We created an internally validated, highly discriminating, well-calibrated, and parsimonious prediction model for SA. Contrary to the study hypothesis, the variables did not have different predictive magnitudes in male and female subjects.

Original languageEnglish (US)
Pages (from-to)1409-1418
Number of pages10
JournalChest
Volume149
Issue number6
DOIs
StatePublished - Jun 1 2016

Fingerprint

Viverridae
Sleep Apnea Syndromes
Hispanic Americans
Health
Snoring
Apnea
Sleep
Population
Logistic Models

Keywords

  • clinical decision-making
  • community health
  • epidemiology (pulmonary)
  • sex-specific prediction
  • sleep apnea

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine
  • Critical Care and Intensive Care Medicine
  • Cardiology and Cardiovascular Medicine

Cite this

Sex-Specific Prediction Models for Sleep Apnea from the Hispanic Community Health Study/Study of Latinos This article has been presented in abstract form (Shah NA, Hanna DB, Teng Y, et al. Epidemiol Genet Sleep Disordered Breathing. 2014 : A5334). / Shah, Neomi; Hanna, David B.; Teng, Yanping; Sotres-Alvarez, Daniela; Hall, Martica; Loredo, Jose S.; Zee, Phyllis; Kim, Mimi; Yaggi, H. Klar; Redline, Susan; Kaplan, Robert C.

In: Chest, Vol. 149, No. 6, 01.06.2016, p. 1409-1418.

Research output: Contribution to journalArticle

@article{465d40f547f0486bb51fa6dbd11befae,
title = "Sex-Specific Prediction Models for Sleep Apnea from the Hispanic Community Health Study/Study of Latinos This article has been presented in abstract form (Shah NA, Hanna DB, Teng Y, et al. Epidemiol Genet Sleep Disordered Breathing. 2014: A5334).",
abstract = "Objective We developed and validated the first-ever sleep apnea (SA) risk calculator in a large population-based cohort of Hispanic/Latino subjects. Methods Cross-sectional data on adults from the Hispanic Community Health Study/Study of Latinos (2008-2011) were analyzed. Subjective and objective sleep measurements were obtained. Clinically significant SA was defined as an apnea-hypopnea index ≥ 15 events per hour. Using logistic regression, four prediction models were created: three sex-specific models (female-only, male-only, and a sex × covariate interaction model to allow differential predictor effects), and one overall model with sex included as a main effect only. Models underwent 10-fold cross-validation and were assessed by using the C statistic. SA and its predictive variables; a total of 17 variables were considered. Results A total of 12,158 participants had complete sleep data available; 7,363 (61{\%}) were women. The population-weighted prevalence of SA (apnea-hypopnea index ≥ 15 events per hour) was 6.1{\%} in female subjects and 13.5{\%} in male subjects. Male-only (C statistic, 0.808) and female-only (C statistic, 0.836) prediction models had the same predictor variables (ie, age, BMI, self-reported snoring). The sex-interaction model (C statistic, 0.836) contained sex, age, age × sex, BMI, BMI × sex, and self-reported snoring. The final overall model (C statistic, 0.832) contained age, BMI, snoring, and sex. We developed two websites for our SA risk calculator: one in English (https://www.montefiore.org/sleepapneariskcalc.HTML) and another in Spanish (http://www.montefiore.org/sleepapneariskcalc-es.HTML). Conclusions We created an internally validated, highly discriminating, well-calibrated, and parsimonious prediction model for SA. Contrary to the study hypothesis, the variables did not have different predictive magnitudes in male and female subjects.",
keywords = "clinical decision-making, community health, epidemiology (pulmonary), sex-specific prediction, sleep apnea",
author = "Neomi Shah and Hanna, {David B.} and Yanping Teng and Daniela Sotres-Alvarez and Martica Hall and Loredo, {Jose S.} and Phyllis Zee and Mimi Kim and Yaggi, {H. Klar} and Susan Redline and Kaplan, {Robert C.}",
year = "2016",
month = "6",
day = "1",
doi = "10.1016/j.chest.2016.01.013",
language = "English (US)",
volume = "149",
pages = "1409--1418",
journal = "Chest",
issn = "0012-3692",
publisher = "American College of Chest Physicians",
number = "6",

}

TY - JOUR

T1 - Sex-Specific Prediction Models for Sleep Apnea from the Hispanic Community Health Study/Study of Latinos This article has been presented in abstract form (Shah NA, Hanna DB, Teng Y, et al. Epidemiol Genet Sleep Disordered Breathing. 2014

T2 - A5334).

AU - Shah, Neomi

AU - Hanna, David B.

AU - Teng, Yanping

AU - Sotres-Alvarez, Daniela

AU - Hall, Martica

AU - Loredo, Jose S.

AU - Zee, Phyllis

AU - Kim, Mimi

AU - Yaggi, H. Klar

AU - Redline, Susan

AU - Kaplan, Robert C.

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Objective We developed and validated the first-ever sleep apnea (SA) risk calculator in a large population-based cohort of Hispanic/Latino subjects. Methods Cross-sectional data on adults from the Hispanic Community Health Study/Study of Latinos (2008-2011) were analyzed. Subjective and objective sleep measurements were obtained. Clinically significant SA was defined as an apnea-hypopnea index ≥ 15 events per hour. Using logistic regression, four prediction models were created: three sex-specific models (female-only, male-only, and a sex × covariate interaction model to allow differential predictor effects), and one overall model with sex included as a main effect only. Models underwent 10-fold cross-validation and were assessed by using the C statistic. SA and its predictive variables; a total of 17 variables were considered. Results A total of 12,158 participants had complete sleep data available; 7,363 (61%) were women. The population-weighted prevalence of SA (apnea-hypopnea index ≥ 15 events per hour) was 6.1% in female subjects and 13.5% in male subjects. Male-only (C statistic, 0.808) and female-only (C statistic, 0.836) prediction models had the same predictor variables (ie, age, BMI, self-reported snoring). The sex-interaction model (C statistic, 0.836) contained sex, age, age × sex, BMI, BMI × sex, and self-reported snoring. The final overall model (C statistic, 0.832) contained age, BMI, snoring, and sex. We developed two websites for our SA risk calculator: one in English (https://www.montefiore.org/sleepapneariskcalc.HTML) and another in Spanish (http://www.montefiore.org/sleepapneariskcalc-es.HTML). Conclusions We created an internally validated, highly discriminating, well-calibrated, and parsimonious prediction model for SA. Contrary to the study hypothesis, the variables did not have different predictive magnitudes in male and female subjects.

AB - Objective We developed and validated the first-ever sleep apnea (SA) risk calculator in a large population-based cohort of Hispanic/Latino subjects. Methods Cross-sectional data on adults from the Hispanic Community Health Study/Study of Latinos (2008-2011) were analyzed. Subjective and objective sleep measurements were obtained. Clinically significant SA was defined as an apnea-hypopnea index ≥ 15 events per hour. Using logistic regression, four prediction models were created: three sex-specific models (female-only, male-only, and a sex × covariate interaction model to allow differential predictor effects), and one overall model with sex included as a main effect only. Models underwent 10-fold cross-validation and were assessed by using the C statistic. SA and its predictive variables; a total of 17 variables were considered. Results A total of 12,158 participants had complete sleep data available; 7,363 (61%) were women. The population-weighted prevalence of SA (apnea-hypopnea index ≥ 15 events per hour) was 6.1% in female subjects and 13.5% in male subjects. Male-only (C statistic, 0.808) and female-only (C statistic, 0.836) prediction models had the same predictor variables (ie, age, BMI, self-reported snoring). The sex-interaction model (C statistic, 0.836) contained sex, age, age × sex, BMI, BMI × sex, and self-reported snoring. The final overall model (C statistic, 0.832) contained age, BMI, snoring, and sex. We developed two websites for our SA risk calculator: one in English (https://www.montefiore.org/sleepapneariskcalc.HTML) and another in Spanish (http://www.montefiore.org/sleepapneariskcalc-es.HTML). Conclusions We created an internally validated, highly discriminating, well-calibrated, and parsimonious prediction model for SA. Contrary to the study hypothesis, the variables did not have different predictive magnitudes in male and female subjects.

KW - clinical decision-making

KW - community health

KW - epidemiology (pulmonary)

KW - sex-specific prediction

KW - sleep apnea

UR - http://www.scopus.com/inward/record.url?scp=84973562828&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84973562828&partnerID=8YFLogxK

U2 - 10.1016/j.chest.2016.01.013

DO - 10.1016/j.chest.2016.01.013

M3 - Article

VL - 149

SP - 1409

EP - 1418

JO - Chest

JF - Chest

SN - 0012-3692

IS - 6

ER -