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substantially more after eAT than

WWSC. Bene

fi

ts from eAT were

evident in generic and disease-

speci

fi

c health-related QoL (as

measured by using the PedsQL and

OSA-18) and in OSAS symptoms (as

re

fl

ected by using the PSQ SRBD scale

and the mESS). Moderate to large

improvements were observed for

most QoL and symptom

measurements, including the parent-

completed PedsQL (total score,

school, emotional, and physical

function domains), OSA-18 (total and

all 5 domains), mESS, and the PSQ

SRBD (total score and snoring,

sleepiness, and inattentive/

behavioral subscales). Improvement

in OSAS severity measured by using

PSG variables explained only a small

proportion of the improvements seen

in OSAS symptoms and QoL. These

observations have important clinical

implications for the many children

with OSAS who are evaluated for AT.

The

fi

ndings are of particular

relevance, given the growing interest

from patients, payers, and providers

that QoL and symptom outcomes be

highlighted in the management of

chronic health conditions.

Clinically, many factors are

considered when making a decision

to perform surgery or to judge the

success of surgical interventions.

Previous studies measuring success

rates for AT in children with OSAS

have often focused somewhat

narrowly on normalization of PSG

parameters, with reports of surgical

success rates ranging from 27% to

83%; lower cure rates are typically

reported in obese children.

19,28

31

This emphasis on PSG measures of

disease resolution may be partially

due to assumptions that PSG severity

parallels severity of the symptoms

seen with OSAS. This concept is not

well supported by the current

literature for either neurobehavioral

morbidity or QoL.

19,26

Previous

studies of children with OSAS have

shown no association between

baseline OSA-18 scores and severity

of OSAS on PSG.

32

Moreover, studies

have failed to demonstrate clear

correlation between extent of PSG

improvements after AT and

improvement in QoL.

33,34

In CHAT, we

observed correlations between

changes in AHI or ODI and changes in

QoL and symptom severity measures.

However, PSG improvements

explained only a small portion of the

variance for the change scores (partial

r

2

ranging from

,

0.01 to 0.17). Thus,

both previous literature and current

data indicate that using PSG results as

the sole metric for effectiveness of AT

in pediatric OSAS may neglect other

bene

fi

ts that are important to children

and their families.

TABLE 4

Effect Modi

fi

cation on Change: Weight Category (Normal Versus Overweight Versus Obese)

Outcome

eAT

WWSC

P

a

P

b

Normal

Overweight

Obese

Normal

Overweight

Obese

Peds QL (parent) total

5.54

6

1.33

1.91

6

1.61

4.09

6

2.31

2

0.00

6

1.24

2

2.58

6

1.56

2

0.63

6

2.33 .99 .91

Peds QL (child) total

5.11

6

1.73

0.86

6

2.06

5.22

6

2.94

4.64

6

1.65

2

0.14

6

2.06

1.27

6

3.03 .89 .74

OSA-18 total

2

21.23

6

1.77

2

18.57

6

2.14

2

18.70

6

3.19

2

4.19

6

1.68

2

2.33

6

2.08

2

1.14

6

3.11 .79 .96

PSQ-SRBD total

2

0.28

6

0.02

2

0.24

6

0.02

2

0.24

6

0.03

2

0.03

6

0.02

2

0.00

6

0.02

2

0.01

6

0.03 .92 .76

PSQL snoring subscale

2

0.65

6

0.03

2

0.59

6

0.04

2

0.59

6

0.06

2

0.11

6

0.03

2

0.05

6

0.04

2

0.08

6

0.06 .89 .92

PSQL sleepiness subscale

2

0.28

6

0.03

2

0.26

6

0.04

2

0.28

6

0.06

2

0.04

6

0.03

2

0.02

6

0.04

0.08

6

0.06 .32 .36

PSQL behavior subscale

2

0.12

6

0.03

2

0.12

6

0.04

2

0.04

6

0.05

0.02

6

0.03

2

0.03

6

0.04

2

0.06

6

0.05 .10 .13

SLSC total (mESS)

2

2.37

6

0.41

2

1.14

6

0.50

2

2.77

6

0.72

2

0.20

6

0.39

2

0.41

6

0.48

0.13

6

0.72 .12 .09

Data are presented as mean

6

SD; marginal means adjusting for variables included in

P

value 1.

a

P

value for interaction term adjusting strati

fi

ed variables only: site, race (African American versus non

African American), and age (5

7 vs 8

10 years old).

b

P

value for interaction term adjusting for site, race (African American versus non

African American), age (continuous), gender, maternal education (less than high school, high school

or higher, or missing/not sure), income (

.

$30 000,

#

$30 000, and missing), baseline log AHI, and baseline outcome variable.

TABLE 5

Effect Modi

fi

cation on Change: Race (African American Versus Non

African American)

Outcome

eAT

WWSC

P

a

P

b

African American

Non

African American

African American

Non

African American

Peds QL (parent) total

3.18

6

2.07

7.44

6

1.82

2

0.12

6

2.47

2.12

6

2.22

.57

.77

Peds QL (child) total

4.55

6

2.50

0.85

6

2.17

3.09

6

3.03

2.44

6

2.65

.48

.26

OSA-18 total

2

17.85

6

2.84

2

22.51

6

2.51

2

10.71

6

3.36

2

5.07

6

3.03

.04

.09

PSQ-SRBD total

2

0.23

6

0.03

2

0.32

6

0.02

2

0.10

6

0.03

2

0.07

6

0.03

.01

.01

PSQL Snoring sub-scale

2

0.67

6

0.05

2

0.68

6

0.05

2

0.23

6

0.06

2

0.25

6

0.06

.91

.79

PSQL Sleepiness sub-scale

2

0.13

6

0.06

2

0.29

6

0.05

2

0.07

6

0.07

2

0.02

6

0.06

.03

.26

PSQL Behavior sub-scale

2

0.01

6

0.04

2

0.18

6

0.04

2

0.06

6

0.05

2

0.03

6

0.05

,

.01

,

.01

SLSC total (mESS)

2

1.67

6

0.60

2

2.57

6

0.53

2

0.90

6

0.72

2

0.91

6

0.65

.40

.32

Data are presented as mean

6

SD; marginal means adjusting for variables included in

P

value 1.

a

P

value for the effect modi

fi

cation adjusting for strati

fi

ed variables only: site, age (5

7 vs 8

10 years old), and overweight (

$

85th vs

,

85th BMI percentile).

b

P

value for the effect modi

fi

cation adjusting for site, age (continuous), obese (

,

95 vs

$

95 BMI percentile), gender, maternal education (less than high school, high school or higher, or

missing/not sure), income (

.

$30 000,

#

$30 000, or missing), baseline log AHI, and baseline outcome variable.

GARETZ et al

73