Margaretha L Casselbrant1, Ellen M Mandel2, William J Doyle3. 1. University of Pittsburgh School of Medicine, Department of Otolaryngology, Pittsburgh, PA, USA. Electronic address: Margaretha.Casselbrant@chp.edu. 2. University of Pittsburgh School of Medicine, Department of Otolaryngology, Pittsburgh, PA, USA; Division of Pediatric Otolaryngology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA. 3. University of Pittsburgh School of Medicine, Department of Otolaryngology, Pittsburgh, PA, USA.
Abstract
OBJECTIVES: Determine if a 2-Step multivariate analysis of historical symptom/sign data for comorbid diseases can abstract high-level constructs useful in assigning a child's "risk" for different Otitis Media expressions. METHODS: Seventeen items related to the symptom/sign expression of hypothesized Otitis Media comorbidities were collected by history on 141 3-year-old children. Using established criteria, the children were assigned to 1 of 3 groups: Control (no significant past Otitis Media, n=45), Chronic Otitis Media with Effusion (n=45) and Recurrent Acute Otitis Media (n=51). Principal Component Analysis was used to identify factors representing the non-redundant shared information among related items and Discriminant Analysis operating on those factors was used to estimate the best predictor equation for pairwise group assignments. RESULTS: Six multivariate factors representing the assignable comorbidities of frequent colds, nasal allergy, gastroesophageal disease (specific and general), nasal congestion and asthma were identified and explained 81% of the variance in the 17 items. Discriminant Analysis showed that, for the Control-Chronic Otitis Media with Effusion comparison, a combination of 3 factors and, for the Control-Recurrent Acute Otitis Media comparison, a combination of 2 factors had assignment accuracies of 74% and 68%, respectively. For the contrast between the two disease expressions, a 2-factor combination had an assignment accuracy of 61%. CONCLUSION: These results show that this analytic methodology can abstract high-level constructs, comorbidities, from low-level data, symptom/sign scores, support a linkage between certain comorbidities and Otitis Media risk and suggest that specific comorbidity combinations contain information relevant to assigning the risk for different Otitis Media expressions.
OBJECTIVES: Determine if a 2-Step multivariate analysis of historical symptom/sign data for comorbid diseases can abstract high-level constructs useful in assigning a child's "risk" for different Otitis Media expressions. METHODS: Seventeen items related to the symptom/sign expression of hypothesized Otitis Media comorbidities were collected by history on 141 3-year-old children. Using established criteria, the children were assigned to 1 of 3 groups: Control (no significant past Otitis Media, n=45), Chronic Otitis Media with Effusion (n=45) and Recurrent Acute Otitis Media (n=51). Principal Component Analysis was used to identify factors representing the non-redundant shared information among related items and Discriminant Analysis operating on those factors was used to estimate the best predictor equation for pairwise group assignments. RESULTS: Six multivariate factors representing the assignable comorbidities of frequent colds, nasal allergy, gastroesophageal disease (specific and general), nasal congestion and asthma were identified and explained 81% of the variance in the 17 items. Discriminant Analysis showed that, for the Control-Chronic Otitis Media with Effusion comparison, a combination of 3 factors and, for the Control-Recurrent Acute Otitis Media comparison, a combination of 2 factors had assignment accuracies of 74% and 68%, respectively. For the contrast between the two disease expressions, a 2-factor combination had an assignment accuracy of 61%. CONCLUSION: These results show that this analytic methodology can abstract high-level constructs, comorbidities, from low-level data, symptom/sign scores, support a linkage between certain comorbidities and Otitis Media risk and suggest that specific comorbidity combinations contain information relevant to assigning the risk for different Otitis Media expressions.
Authors: Maroeska Rovers; Mark Haggard; Mary Gannon; Gesina Koeppen-Schomerus; Robert Plomin Journal: Am J Epidemiol Date: 2002-05-15 Impact factor: 4.897
Authors: M L Casselbrant; E M Mandel; P A Fall; H E Rockette; M Kurs-Lasky; C D Bluestone; R E Ferrell Journal: JAMA Date: 1999-12-08 Impact factor: 56.272
Authors: M J Kraemer; M A Richardson; N S Weiss; C T Furukawa; G G Shapiro; W E Pierson; C W Bierman Journal: JAMA Date: 1983-02-25 Impact factor: 56.272
Authors: John Douglas Swarts; Margaretha L Casselbrant; Miriam S Teixeira; Ellen M Mandel; Beverly C Richert; Juliane M Banks; Jenna El-Wagaa; William J Doyle Journal: Acta Otolaryngol Date: 2014-06 Impact factor: 1.494