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A novel approach to prediction of mild obstructive sleep disordered breathing in a population-based sample: the Sleep Heart Health Study.
Tuesday,2012-11-06 12:25 America/Los_Angeles — eenright
| Title | A novel approach to prediction of mild obstructive sleep disordered breathing in a population-based sample: the Sleep Heart Health Study. |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Caffo, B, Diener-West, M, Punjabi, NM, Samet, J |
| Journal | Sleep |
| Volume | 33 |
| Issue | 12 |
| Pagination | 1641-8 |
| Date Published | 2010 Dec |
| ISSN | 0161-8105 |
| Keywords | Age Factors, Aged, Algorithms, Body Mass Index, Cohort Studies, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Risk Factors, ROC Curve, Sleep Apnea Syndromes, Snoring, Waist Circumference |
| Abstract | <p>This manuscript considers a data-mining approach for the prediction of mild obstructive sleep disordered breathing, defined as an elevated respiratory disturbance index (RDI), in 5,530 participants in a community-based study, the Sleep Heart Health Study. The prediction algorithm was built using modern ensemble learning algorithms, boosting in specific, which allowed for assessing potential high-dimensional interactions between predictor variables or classifiers. To evaluate the performance of the algorithm, the data were split into training and validation sets for varying thresholds for predicting the probability of a high RDI (≥7 events per hour in the given results). Based on a moderate classification threshold from the boosting algorithm, the estimated post-test odds of a high RDI were 2.20 times higher than the pre-test odds given a positive test, while the corresponding post-test odds were decreased by 52% given a negative test (sensitivity and specificity of 0.66 and 0.70, respectively). In rank order, the following variables had the largest impact on prediction performance: neck circumference, body mass index, age, snoring frequency, waist circumference, and snoring loudness.</p> |
| Alternate Journal | Sleep |
| PubMed ID | 21120126 |
| PubMed Central ID | PMC2982734 |
| Grant List | R01NS060910 / NS / NINDS NIH HHS / United States HL086862 / HL / NHLBI NIH HHS / United States R01 HL075078 / HL / NHLBI NIH HHS / United States R01 NS060910-03 / NS / NINDS NIH HHS / United States R01 NS060910-01A2 / NS / NINDS NIH HHS / United States U01 HL064360 / HL / NHLBI NIH HHS / United States K25 EB003491-03 / EB / NIBIB NIH HHS / United States K25EB003491 / EB / NIBIB NIH HHS / United States R01 NS060910-02 / NS / NINDS NIH HHS / United States 5 U01 HL64360 / HL / NHLBI NIH HHS / United States HL075078 / HL / NHLBI NIH HHS / United States R01 HL086862 / HL / NHLBI NIH HHS / United States R01 NS060910 / NS / NINDS NIH HHS / United States K25 EB003491 / EB / NIBIB NIH HHS / United States K25 EB003491-01A2 / EB / NIBIB NIH HHS / United States K25 EB003491-02 / EB / NIBIB NIH HHS / United States |