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新生兒篩檢之6項新增篩檢疾病項目成本效益評估

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(1)

DOH99-HP-1205

99

6

(2)

... 7

... 7 ( ) 6 ... 7 1. (CAH) ... 7 2. (MSUD) ... 7 3. A (MCAD) ... 8 4. (GA I) ... 8 5. (IVA) ... 8 6. (MMA) ... 9 ( ) 6 ... 9 1. 6 ... 9 2. 6 ... 10 ( ) ... 10 ... 12

... 13

... 13 (meta-analysis) ... 15 ( ) ... 15 ( ) ... 16 ... 17 ( ) ... 18 ( ) ... 18 ( ) ... 20 1. ... 21 2. ... 22 3. ... 23

(3)

... 28 ... 28 ( ) ... 28 ( ) ... 28 ( ) ... 29 (meta-analysis) ... 29 ( ) ... 29 ( ) 6 ... 30 ( ) (meta-analysis) ... 30 1.sROC ... 30 2. ... 33 ( ) ... 34 1.

... 35

2.

... 35

3.

... 35

4.

... 36

5.

... 36

6.

... 37

... 38 ( ) ... 38 ( ) ... 39 1.

... 39

2.

... 39

3.

... 39

4.

... 39

5.

... 40

6.

... 40

(4)

( ) 6 ... 41 ( ) 6 ... 42 ( ) 6 QALY ... 42 ( ) 6 ... 43 ( ) 6 ... 44 ( ) ... 45 1.

... 45

2.

... 45

... 48

... 48 ( )

... 49

( )

... 49

( )

... 49

6 ... 50 ( )

... 50

( ) 6

... 51

1.

... 51

2.

... 51

6 ... 52 ( ) 6 ... 52 1. ... 52 2. ... 52 3. ... 53 4. ... 53 5. ... 53 6. A ... 54

(5)

( ) 6 ... 54 1. ... 54 2. ... 55 3. ... 57 4. ... 57 5. ... 57 ( ) ... 58 1. ... 59 2. ... 59

... 60

... 60

... 62

... 64

... 68

1 6 ... 69 2 2008 196,234 ... 71 3 6 ... 75 4 ... 81 5 ... 82 6 sROC ... 91 7 ... 92 8 - ... 93 9 ... 94 10 ... 100 11 ... 102 12 6 ... 103 13 6 ... 104 14 QALY ... 105 15 6 ... 106

(6)

16 6 ... 107 17 6 ... 108 18 - ... 110 19 6 QALY ... 114 20 ... 115 21 ... 117 1 ... 72 2 6 (A) 6 (B) ... 73 3 ... 74 4 6 ... 80 5 (meta-analysis) ... 85 6 6 ... 86 7 (CAH) ... 87 8 (MSUD) ... 87 9 (GA I) ... 88 10 ( IVA) ... 88 11 (MMA) ... 89 12 A (MCAD) ... 90 13 1- ... 91 14 - QALY ... 110 15 - CAH ... 111 16 - MSUD ... 111 17 - IVA ... 112 18 - MMA ... 112 19 - GAI ... 113 20 - MCAD ... 113 6 6 6

(7)

6

(

A

)

6

6

6

?

6

(

)

(

)

(quality-adjusted life years,

QALYs)

(discount rate)

6

(8)

(

)

6

74

7

95

7

-6-

5

(Congenital Adrenal Hyperplasia, CAH)

(Maple Syrup

Urine Disease, MSUD)

A

(Medium Chain Acyl-CoA

Dehydrogenase Deficiency, MCADD)

(Glutaric Acidemia

Type I, GA I)

(Isovaleric Acidemia, IVA)

(Methylmalonic Acidemia, MMA)6

6

6

1

1.

(CAH)

6

(cortisol)

(Adrenocorticotropic hormone, ACTH)

(

,

2008)

(9)

Branched chain x-keto

aciddehydrogenase

Leucine

Isoleucine

Valine

Branched chain

amino acid

20-40

5-10

(

)

3.

A

(MCAD)

25

4.

(GA I)

A

(glutaryl CoA dehydrogenase)

(lysine)

(tryptophan)

(hydroxylysine)

5.

(IVA)

leucine

A

( Isovaleryl

Co-A dehydrogenase

IVD )

(10)

ataxia

6.

(MMA)

A

(methylmalonyl-CoA mutase)

(mut-)

B12

(mut

0 )

B12

(mut )

13

(

)

6

1.

6

CAH

89

3

~92

10

599,650

40

CAH

1/15,000 MSUD

74

7

76

8

76

9

G6PD

MSUD

GA I

IVA

MMA

MCAD

6

[1]

(Tandem Mass

Spectrometry; MS/MS)

(11)

CAH

MSUD

MCAD

GA I

IVA

MMA

95

7

6

2009

[2]

2008

196,234

98.7

(CAH)34

(MSUD)0

(GA I)13

(IVA)1

(MMA)4

A

9

2

2.

6

CAH

[3]

MSUD

[3]

MCAD GA I IVA

MMA

[4]

[5]

[6]

[3]

(12)

(quality-adjusted life years, QALYs)

(disability-adjusted life years, DALYs)

1

1

0

QALY

(burden

of disease)

-QALY

DALY

QALY

DALY

(13)

(

)

(

)

6

(

A

)

(

)

(

)

6

(

A

)

6

(

)

6

(

)

(discount rate)

6

?

?

(14)

(meta-analysis)

6

(beneficience)

(not

doing harm

non-maleficience)

(autonomy)

(justice)

(

)

(

)

(15)

2.

3.

4.

5.

6.

(

)

(Hart, 1971)

Hall[7]

(

)

(16)

(meta-analysis)

6

(

)

(pooled estimate)

(

)

(

)

(

)

(

)

1.

2.

:

3.

4.

5.

(

)

6.

(forest plot)

(17)

7.

(funnel plot)

(publication bias)

(

)

Q

(summary results)

(test overall significance)

Q

Σw

i

(

)

2

w

i

:

Q

-1

I

2

= 100 { 1 –( 1 /

H

2

) }

H = SQRT { Q / (k-1) }

k

I

2

25%

(

)

i

w

i

:

) * (

= i i i w w

(18)

(societal perspective)

6

(incremental cost-effectiveness analysis)

1

(

)

(

)

(

)

(

)

2

(A)

(B)

6

(

0.25 [8, 9])

3

6

6

6

6

(

1

)

(

1

)

(

2 B

)

1

(

)

(19)

1

(

)

1

(

)

3

1.

4,000

[10]

2.

(1)

(2)

(3)

(4)

(5)

(

)

(20)

1.

(

6

[10]

)

2.

3.

4.

=

) ( × −

3

58.6

[11]

2009

78.97

98

(incremental cost-effectiveness ratio, C/E ratio)

98

$507,135

[12]

(21)

(

)

1.

2.

(

)

3.

4.

5.

(

)

6.

(

)

(

)

99

4

9

(

)

5

(22)

1.

(1)

A.

(A)

74

7

6

99

4

9

6

6

6

(B)

/

[13]

7

(3

6

1

1.5

2

2.5

3

)

B.

(A)

2004

2008

6

2006

7

6

(B)

2004

2008

6

(23)

2006

7

6

C.

6

(

)

18

[9]

(2)

2004-2008

6

2.

(1)

A.

(

)

B.

(24)

C.

D.

(2)

A.

6

3

B.

2004

2008

2006

7

1

6

C.

3.

(1)

4

6

6

(25)

6

(

)

(

)

(QALY

)

6

(

)

(2)

4

3

A.

6

2009

1:9,400

1:302,091

1:67,131

1:151,046

1:33,566

1:67,131)

(98.7%)

(196,234)

[2]

B.

Carroll

[9]

(

k)

78.97

67.6

(26)

65

58.6

(

3)

C.

(

3)

[9]

D.

[9]

= ( × × ) + 1 − ×

E.

(A) =  × 6 +  × 6 + 6 (B) =  × 6 +  6 (C) =  × 6 +  ×

(27)

6 + 6 (D) = (A) + (B) + (C)

F.

(

)

= { × 6 ) + 6 }

G.

2004

2008

6

ID

0

(C

0

)

(C

0

)

(i

2.51%)

(r

3%)

6

(A) k : C =∑  C =∑  ()  ()()   C =∑  ()  ()()   (B) = +

(28)

H.

2009

18

[9]

(p 0.89%)[12]

(r

3%)

6

18

C =∑  C =∑  ()  ()()  

I.

QALY

QALY

4

1

QALY

0

QALY

0.5625

0.3909

0.5625

0.3909[14]

(3)

(1)

(2)

1%

9%

(29)

1981

3.1%

2007

2.9%

98.7%

PubMed

(Neonatal Screening newborn screening)

(ethical

considerations)

5

(

)

1976

[15]

(

)

(30)

[16]

[17]

(

)

[18]

[15]

[16, 19]

(meta-analysis)

(

)

PubMed

’sensitivity’

”specificity”

”Congenital Adrenal

Hyperplasia ” ” Maple Syrup Urine Disease” ” Medium Chain Acyl-CoA

Dehydrogenase Deficiency”

” Glutaric Acidemia Type I”

” Isovaleric

Acidemia”

” Methylmalonic Acidemia”

(

(31)

12

9

A

15

6

5

5

1978

2009

(

)

6

6

6

(CAH)

(MSUD)

(GA I)

(IVA)

(MMA)

A

(MCAD)

(

7-12)

(

)

(meta-analysis)

(meta-analysis)

(pooling)

(summary

Receiver Operating Characteristic

sROC)

sROC

(

)

(

)

sROC

(bivariate model)

1.

sROC

sROC

Moses[20]

Littenberg[21]

(32)

(

7)

sROC

(TPR)

1

(FPR)

ROC

(fitness)

TPR

FPR

D

TPR

FPR

(logit)

S

! = ln $

(%&'%&'

) − ln $

(*&'*&'

) = ln(DOR)

(1)

. = ln $

(%&'%&'

) + ln(

(*&'*&'

)

(2)

D

(DOR)

DOR

S

0

S

S

ROC

log

(DOR)

! = / + 0.

(3)

[21]

(Congenital Adrenal Hyperplasia, CAH)

A

(Medium Chain Acyl-CoA Dehydrogenase Deficiency,

MCAD)

(Methylmalonic Acidemia, MMA)

(33)

(ACTH)

21-17-hydroxyprogesterone

(2)

A

A

(C8)

(C6)

(C10)

C8/C10

(3)

11

4

2

A

(

8)

1-

13

(3)

(DOR)

S(

β≈0)

DOR

(34)

DOR

S

β

sROC

[22]

Q

sROC

Q

sROC

sROC

Q

Q

S

S

2.

[23, 24]

random effect

[25, 26]

(precision)

(35)

K

(I=1,2,3…,K)

N

2

(

p

2,5

)

N

6

(

p

6,5

)

θ

2,5

5

θ

2,5

θ

2

σ

29

θ

6

σ

69

(

)

:

θ

θ

2,5 6,5

; ~= :>

?

@

?

A

B , Σ; DEFℎ Σ = : H

@9

H

@I

H

@I

H

I9

;

σ

26

N

2

N

6

0

p

2,5

,

p

6,5

1

S

2,K9

=

L,5 ∙ NL,5 ∙ ((NL,5)

S

6,59

=

O,5 ∙ NO,5 ∙ ((NO,5) $PQL,5 PQO,5) ~= :$ PL,5 PO,5) , 5; with 5= : .2,59 0 0 .6,59 ; :θWθW2,5 6,5; ~= :> θ2 θ6B , X + 5;

(likelihood-based method)

(fitted)

SAS

Mixed

7

(36)

1.

15

25

19

[27]

1,000

40

30

25

100

[28]

2.

1970

Department

of Health

phenylketonuria(PKU)

maple syrup urine

disease(MSUD)

homocystinuria (HCU),galactosemia (GE)

hypothyroidism

21-hydroxyase deficiency

[29]

3.

60

99

[30]

2004

(37)

Disorders

Cystic Fibrosis

UK

Wales

[31]

2004

Medium-chain acyl-CoA dehydrogenase

deficiency

MCAD

4.

Congenital Hypothyreosis

(CH)

Congenital Adrenal Hyerplasia

CAH

Deficiency of

Biotinidase Classical form of Galacosemia Deficiency of GALT

11

Nennstiel-Ratzel U

[32]

1999

2001

35

80

98

217

5.

Yoo[33]

255,700

292,000

Insinga[34]

A

(MCAD)

41,862

(

9)

(38)

6.

Thil'en

[35]

26,700

53,400

Tran[36]

A

A

450,521

934,923

2,676

Autti-Ramo[10]

5,500

25,500

5

10

1

3

1

5

Venditti[8]

Markov

(

9)

(39)

(

)

(

)

(99)

4

9

(

)

(99)

12

3

1.

(1)

(40)

(2)

(3)

2.

(

)

40

2

4

5

16

67

(

10)

1.

(47.5%)

(40%)

(7.5)

(5%)

32.5%

(22.5%)

(15%)

(15%)

(7.5%)

(7.5%)

2.

84.6

220.6

3.

6

1527.78

3421.88

4.

6

(41)

5

2083.33

5.

16

7

(43.75%)

4

(25%)

2

(12.5%)

2

(12.5%)

1

(6.25%)

85.42

348.33

178.75

58.67

1239.57

6.

(precision)

11

3

(16.67%)

19

(31.67%)

3

(3.49%)

15(4.44%)

(

5%)

10%

8.26%

50%

(7

)

2004~2008

(42)

(

)

6

2009

198,819

(

12

A)

6

6

(

12)

(CAH)

21.16

Carroll[9]

10%

2.12

(GA I)

1

33,566

5.92

5%

20%

4.44

0.30

1.18

2.96

(95%

2.81

)

(5%

0.15

)

A

(75% 2.22

)

(5% 0.15

)

(20% 2.22

)[34]

1.56

(28%

0.44

)

(22%

0.34

)

(50%

0.78

)[37]

1:151,046

1.31

(

1.05

)

(0.26

)(

12)

(D)

††††

=

(A)

††††

×

(B)

††††

×

(C)

†††† † (A) (B) (C) (D) 12

(43)

(

)

6

6

6

6

(

13)

20.63

(97.52%)

0.52

(2.48%)

1.13

(71.96%)

0.02

(1.54%)

0.41

(26.5%)

2.96

5.92

8%(

0.11

)

18.4%(

0.24

)

73.6%(

0.97

)

A

94.6%(2.80

)

0.40%(0.01

)

5%(0.15

) (

13)

(

)

6

QALY

Bennett[14]

QALY

1

0

1.

(E)

††††

=

×

(C)

††††

×

+(1-

)

×

(C)

†††† 2.

(D’)

††††

=

(A)

††††

×

(B)

††††

×

(C)

††††

×

† (A) (B) (C) (E) (D’) (E’) 13

∆QALY(I)

††††

=

QALY(G)

††††

癇癇

QALY(F)

††††

(44)

0.5625

0.3909

0.5625

QALY

(

13)

QALY

QALY

3.92

(-0.03)

(-0.08)

(-0.17)

(-0.18)

(-0.21)

QALY

QALY

(1.59)

(1.48)

QALY

(

14)

6

QALY

1.59QALY

0.30QALY

0.06

QALY

0.07QALY

1.31QALY

A

0.58

QALY

(

)

6

2004

2008

6

1.

(J)

=

∑ ( (K)  (K)) (Y%)()  

2.

(K)

=

=∑  ()  (Y%)()  

3.

(L)

=

(J)

+

(K)

4.

(L’)

=

(M)

+

(N)

+

(J’)

+

(K’)

† † (J) (K) (L) (M) (N) (L’) (J’) (K’) 15 16

(45)

2009

3%

(

15)

(11,806,590

)

(11,787,898

)

(8,975,883

)

(7,903,600

)

A

(6,610,881

)

(6,099,283

)

(1,762,955

)(

15)

(

16)

2,941.45

3,077.45

14,583

(1,755,084

1,731,393

)

(

)

6

(

17)

(33,559,377

)

(9,237,558

)

1.

(Q)

=

(O)

×

(P)

2.

(Q’)

=

(O’)

×

(P’)

+

(R)

×

(S)

† † (O) (P) (Q) (R) (S) (O’) (P’) (Q’) 17

(46)

(8,322,688

)

(

17)

(36,201,140

)

(7,399,069

)

(6,330,938

)

(6,330,938

)

13,252,714

(

6,612,272

3,879,787

)

(2,658,309

)(

17)

(

)

1.

1%

9%

13

1%

9%

QALY

(

14)

2.

(1)

6

(

QALY

)

(

15)

(47)

(2)

1:302,091

(

16)

QALY

(3)

(

17)

2009

1:67,131

(4)

(

18)

QALY

(5)

1:33,566

QALY

(

19)

(6)

A

A

1:67,131

(48)

QALY

A

QALY

(49)

99%

[2]

2006

6

(

A

)

6

1

9,400

2006

6

6

[38]

(50)

(

)

(

)

(

)

(51)

6

(

)

(meta-analysis)

(pooling)

(bivariate model)

sROC

1.

2.

(summary

estimate)

95%

(

)

3.

4.

sROC

sROC

sROC

sROC

5.

(52)

6.

(

)

6

1.

Yoo[33]

255,700

292,000

(

3%)

141,894

(

4,577

)

Insinga[34]

A

(MCAD)

41,862

A

(MCAD)

66,374

(2,141

)

2.

(53)

Thil'en[35]

Tran[36]

Autti-Ramo[10]

6

(

)

6

1.

Carrol

80%

[9]

97.52%(20.63

)

2.48%(0.52

)

2.

Naughten

Scriver

(54)

93%[37]

53%[39]

71.96%(

1.13

)

1.54%(0.02

)

26.5%(0.41

)

3.

[1]

[40]

Tandem mass

5%

(

2.96

)

4.

[40]

8%

8%

8%(

0.11

)

18.4%(

0.24

)

73.6%(

0.97

)

5.

[40]

8%

(55)

6.

A

Washington

[41]

A

98%

[40]

A

A

A

98%

94.6%(2.80

)

0.40%(0.01

)

5%(0.15

)

(

)

6

(

3)

1.

6

5

(

-6-

)

(

)

(56)

6

(

)

(2,941.45

)

(14,583

)

2.

2004

2008

2006

9

1

(1)

1.59

QALY

2,651,000

QALY

1,666,717

(2)

0.30QALY

10,472,172

QALY

34,796,722

(57)

(3)

0.06QALY

850,867

QALY

13,133,449

(4)

0.08

0.07

QALY

2,193,394

QALY

30,307,089

(5)

6

QALY

1.31

QALY

2,553,700

QALY

1,943,136

(6)

A

A

0.58QALY

166,420

QALY

286,691

6

QALY

(1.59 QALY)

(1.31QALY)

A

(0.58 QALY)

(0.30 QALY)

QALY

(0.06 QALY)

(0.07QALY)

(58)

QALY

A

18

3.

2009

Insinga[34]

18

18

9,648,839

9,648,839

4.

A

(

13,252,714

3.92QALY)

25

(

2010

507,135

3%)

6,808,395

5.

(1)

1%

10%

13

14

(59)

3%

18%

(2)

A

(

)

(

)

(Pompe disease)

(Fabry disease)

1

400,000

2004

2008

Pompe disease

Fabry

disease

2

(60)

Merta[42] Chien[43]

1.

15,158,305

6.8

QALY

3.19

25

(

2010

507,135

3%)

6,560,475

(

20)

2.

13,574,105

6.5

QALY

2.95

6,510,660

(

21)

(

6.8QALY

6.5QALY)

6

(61)

20

60

1/3

(

)

99

(

)

5

20

(

)

(62)

(

)

(

)

6

(

2,651,000

)

A

(

166,420

)

(

10,472,172

)

(

2,553,700

)

(

2,193,394

(

850,867

)

(

)

6

(63)

(

)

6

6

(

)

11

(

)

1:500,000

1:200,000

1:10

1:200

(64)
(65)

1. , et al., . 2004: .

2. , 2009 . 2009,

.

3. website, M.o.D.B.D.F. 2004; Available from:

http://www.marchofdimes.com/home.asp.

4. Wiley, V., K. Carpenter, and B. Wilcken, Newborn screening with tandem

mass spectrometry: 12 months' experience in NSW Australia. Acta Paediatr

Suppl, 1999. 88(432): p. 48-51.

5. Schulze, A., et al., Expanded newborn screening for inborn errors of

metabolism by electrospray ionization-tandem mass spectrometry: results, outcome, and implications. Pediatrics, 2003. 111(6 Pt 1): p. 1399-406.

6. Pollitt, R.J., et al., Neonatal screening for inborn errors of metabolism: cost,

yield and outcome. Health Technol Assess, 1997. 1(7): p. i-iv, 1-202.

7. Hall, A.J., Public health trials in West Africa: logistics and ethics. IRB, 1989.

11(5): p. 8-10.

8. Venditti, L.N., et al., Newborn screening by tandem mass spectrometry for

medium-chain Acyl-CoA dehydrogenase deficiency: a cost-effectiveness analysis. Pediatrics, 2003. 112(5): p. 1005-15.

9. Carroll, A.E. and S.M. Downs, Comprehensive cost-utility analysis of newborn

screening strategies. Pediatrics, 2006. 117(5 Pt 2): p. S287-95.

10. Autti-Ramo, I., et al., Expanding screening for rare metabolic disease in the

newborn: an analysis of costs, effect and ethical consequences for decision-making in Finland. Acta Paediatr, 2005. 94(8): p. 1126-36.

11. Bittles, A.H., et al., The influence of intellectual disability on life expectancy. J Gerontol A Biol Sci Med Sci, 2002. 57(7): p. M470-2.

12. . . Available from:

http://www.dgbas.gov.tw/mp.asp?mp=1.

13. ,

, , Editor. 2009,

.

14. Bennett, J.E., et al., Parents' utilities for outcomes of occult bacteremia. Arch Pediatr Adolesc Med, 2000. 154(1): p. 43-8.

15. Faden, R., et al., A survey to evaluate parental consent as public policy for

neonatal screening. Am J Public Health, 1982. 72(12): p. 1347-52.

16. Huang, M.C., et al., Parental consent for newborn screening in southern

(66)

17. , , and , .

Formosan J Med, 2003. 7(5): p. 774-779.

18. Edwards, A., Neonatal screening. Pretest counselling and informed consent

should be prerequisites. BMJ, 1996. 312(7024): p. 182-3.

19. , , and ,

. , 2004. 16(1): p. 43-50.

20. Moses, L.E., D. Shapiro, and B. Littenberg, Combining independent studies of

a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med, 1993. 12(14): p. 1293-316.

21. Littenberg, B. and L.E. Moses, Estimating diagnostic accuracy from multiple

conflicting reports: a new meta-analytic method. Med Decis Making, 1993.

13(4): p. 313-21.

22. Walter, S.D., Properties of the summary receiver operating characteristic

(SROC) curve for diagnostic test data. Stat Med, 2002. 21(9): p. 1237-56.

23. Kardaun, J.W. and O.J. Kardaun, Comparative diagnostic performance of

three radiological procedures for the detection of lumbar disk herniation.

Methods Inf Med, 1990. 29(1): p. 12-22.

24. van Houwelingen, H.C., L.R. Arends, and T. Stijnen, Advanced methods in

meta-analysis: multivariate approach and meta-regression. Stat Med, 2002.

21(4): p. 589-624.

25. Van Houwelingen, H.C., K.H. Zwinderman, and T. Stijnen, A bivariate

approach to meta-analysis. Stat Med, 1993. 12(24): p. 2273-84.

26. S, K., B. N, and J. NL, Bivariate and trivariate normal distributions In

Continuous multivariate distributions. 2000, New York. 251-348.

27. Center, N.N.S.G.R. International NBS Programs. International NBS Programs 2010; Available from:

http://genes-r-us.uthscsa.edu/resources/newborn/international.htm.

28. Herald-Dispatch, T. Newborn Testing Varies By State. 2004; Available from:

http://www.herald-dispatch.com/2004/September/22/LNspot.htm. 29. Department of Health, J. Sapporo City Japan. 2010; Available from:

http://www.city.sapporo.jp/eiken/screen/index-e.htm.

30. Committee, U.N.S. United Kingdom National Screening Committee. Available from: http://www.screening.nhs.uk/.

31. Westmead, T.C.s.H.a. The NSW Newborn Screening Programme. 2010; Available from: http://www.chw.edu.au/prof/services/newborn/.

32. Nennstiel-Ratzel, U., B. Liebl, and A. Zapf, [Model project for reorganising of

newborn screening]. Gesundheitswesen, 2003. 65 Suppl 1: p. S31-5.

(67)

congenital adrenal hyperplasia. Public Health Genomics, 2009. 12(2): p.

67-72.

34. Insinga, R.P., R.H. Laessig, and G.L. Hoffman, Newborn screening with

tandem mass spectrometry: examining its cost-effectiveness in the Wisconsin Newborn Screening Panel. J Pediatr, 2002. 141(4): p. 524-31.

35. Thil'en, A., et al., Benefits of neonatal screening for congenital adrenal

hyperplasia (21-hydroxylase deficiency) in Sweden. Pediatrics, 1998. 101(4): p.

E11.

36. Tran, K., et al., Clinical efficacy and cost-effectiveness of newborn screening

for medium chain acyl-CoA dehydrogenase deficiency using tandem mass spectrometry. Clin Biochem, 2007. 40(3-4): p. 235-41.

37. Naughten, E.R., et al., Outcome of maple syrup urine disease. Arch Dis Child, 1982. 57(12): p. 918-21.

38. Walsh-Vockley, C., Counseling issues in genetic screening. Yale J Biol Med, 1991. 64(3): p. 255-7.

39. Newborn screening fact sheets. American Academy of Pediatrics. Committee on Genetics. Pediatrics, 1996. 98(3 Pt 1): p. 473-501.

40. Niu, D.M., et al., Nationwide survey of extended newborn screening by tandem

mass spectrometry in Taiwan. J Inherit Metab Dis, 2010. 33(Suppl 2): p.

S295-305.

41. Health, w.s.d.o. least burden and cost benefit analysis, newborn screening for

metabolic disease. 2003.

42. Merta, M., et al., A nationwide blood spot screening study for Fabry disease in

the Czech Republic haemodialysis patient population. Nephrol Dial Transplant,

2007. 22(1): p. 179-86.

43. Chien, Y.H., et al., Early detection of Pompe disease by newborn screening is

feasible: results from the Taiwan screening program. Pediatrics, 2008. 122(1):

p. e39-45.

44. Balsamo, A., et al., Congenital adrenal hyperplasia: neonatal mass screening

compared with clinical diagnosis only in the Emilia-Romagna region of Italy, 1980-1995. Pediatrics, 1996. 98(3 Pt 1): p. 362-7.

45. Cartigny-Maciejewski, M., et al., Neonatal screening of congenital adrenal

hyperplasia due to 21-hydroxylase deficiency: Lille experience 1980–1996

Archives de Pédiatrie, 1999. 6(2): p. 151-158.

46. Kwon, C. and P.M. Farrell, The magnitude and challenge of false-positive

newborn screening test results. Arch Pediatr Adolesc Med, 2000. 154(7): p.

714-8.

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hyperplasia. Eur J Endocrinol, 2004. 151 Suppl 3: p. U71-5.

48. Steigert, M., et al., High reliability of neonatal screening for congenital

adrenal hyperplasia in Switzerland. J Clin Endocrinol Metab, 2002. 87(9): p.

4106-10.

49. Varness, T.S., D.B. Allen, and G.L. Hoffman, Newborn screening for

congenital adrenal hyperplasia has reduced sensitivity in girls. J Pediatr, 2005.

147(4): p. 493-8.

50. Matern, D., et al., Reduction of the false-positive rate in newborn screening by

implementation of MS/MS-based second-tier tests: the Mayo Clinic experience (2004-2007). J Inherit Metab Dis, 2007. 30(4): p. 585-92.

51. Gleeson, H.K., et al., Two-year pilot study of newborn screening for

congenital adrenal hyperplasia in New South Wales compared with nationwide case surveillance in Australia. J Paediatr Child Health, 2008. 44(10): p. 554-9.

52. Larsson, A., et al., Screening of half a million Swedish newborn infants for

congenital adrenal hyperplasia Screening, 1992. 1(3): p. 159-166.

53. Pourfarzam, M., et al., Neonatal screening for medium-chain acyl-CoA

dehydrogenase deficiency. Lancet, 2001. 358(9287): p. 1063-4.

54. Van der Kamp, H.J., et al., Newborn screening for congenital adrenal

(69)
(70)

1 6 a 1:5,000 (1) (2) (3) 1:100,000 (1) (2) A 1:15,000( ) 1:9,733( ) 1:9,091~1:20,000( ) 1:16,000( )

(71)

1 6 ( ) a 1:20,000~15,000 ( ) (1) (2) (riboflavin) (carnitine) (3) 1:14,000~50,000 ( ) (1) (2) 1 15,000~61,000 ( ) VitB12 B12 VitB12 (http://www.tfrd.org.tw/rare/typekind.php?kind_id=3) (http://www.bhp-gc.tw/main.php/02about/01object)

a:Patricia M. Jones, Michael J. Bennett. The changing face of newborn screening: diagnosis of inborn errors of metabolism by tandem mass spectrometry. Clinica Chimica Acta 2002; 324:121-8.

(72)

2 2008 196,234 (CAH) 1 9,440 34 (MSUD) 1 302,091 0 A (MCAD) 1 67,131 9 (GA I) 1 33,566 13 (IVA) 1 67,131 1 (MMA) 1 151,046 4

(73)

噁1) 噁1)噁1) 噁1) 噁饋) 噁饋) 噁饋) 噁饋) 噁3) 噁3) 噁3) 噁3) 噁4) 噁4) 噁4) 噁4)

1

(74)

6 6 6 A B 6 6 6 6 6 B 2 6 (A) 6 (B)

(75)
(76)

3 6 196,234 2009 [2] 98.70% 2009 [2] 198,819 2009 $507,135 2010 [12] 0.89% 2005~2009 [12] 2.51% 2005~2009 [12] 3% (CAH) 1 : 9,400 2009 [2] (MSUD) 1 :127,056 2009 [2] (IVA) 1:67,131 2009 [2] (MMA) 1:151,046 2009 [2] (GA I) 1:33,566 2009 [2] A (MCAD) 1:67,131 2009 [2] 94% [44-51] 100% [5] 74% [5] 100% [5, 50] 100% [5] A 92% [5, 8, 34, 36] 99.8% [45-52] 99.9% [5] 99.9% [5]

(77)

3 6 ( ) 99.9% [5, 50] 100.0% [5] A 99.9% [4, 5, 8, 34, 36, 53] 5 10% [9] 22% [37] 50% [37] 5% [1] 20% [40] 80% [40] 5% A 20% [41] A 5% [34] 78.97 2009 [12] 67.6 [11] ( ) 65 [11] 58.6 [11] 80% [9] 93% [37] 53% [39] 100%

(78)

3 6 ( ) 8% [40] 100% [40] A 98% [41] QALY 1 0 0.5625 [14] 0.3909 [14] 0.5625 [14] 0.3909 [14] $382.02 CAH $84.60 MSUD-MCAD-GAI-IVA-MMA $220.60 $2,475 $852 2004~2008 $70,625 2004~2008 $1,180 2004~2008 $25,665 2004~2008 $2,083.33 7

(79)

3 6 ( ) $492,251 2009 [12] 18 [34] $808 2004~2008 2004~2008 2004~2008 2004~2008 2004~2008 2004~2008 - - - - A - 2 2004~2008 - 2004~2008 - 2004~2008 - 2004~2008 - 2004~2008 A - 2004~2008 $70,576.83 2004~2008 - 2004~2008 - 2004~2008 $879,181.00 2004~2008 $23,373.00 2004~2008 A - 2004~2008 1 2004~2008 - 2004~2008 - 2004~2008 0.86 2004~2008 0.64 2004~2008 A - 2004~2008

(80)

3 6 ( ) $982.91 2004~2008 $304.50 2004~2008 - 2004~2008 $1,622.00 2004~2008 $508.00 2004~2008 A - 2004~2008 2.00 2004~2008 0.86 2004~2008 - 2004~2008 1.29 2004~2008 0.43 2004~2008 A - 2004~2008 $71,282.17 2004~2008 $100,001.41 2004~2008 $11,406.00 2004~2008 $36,386.12 2004~2008 $59,637.33 2004~2008 A $11,220.86 2004~2008 1 2004~2008 2.55 2004~2008 1.47 2004~2008 2.54 2004~2008 2.31 2004~2008 A 3.43 2004~2008

(81)

6 6

(1)

(2)

(82)

4

(83)

5

Ruth F. [15]

A Survey To Evaluate Parental Consent As Public Policy for Neonatal Screening 1982 1976 Walsh-Vockley, C.[38] Counseling Issues in Genetic Screening 1991

(84)

5 ( )

A Edwards[18]

Pretest counseling and informed consent should be prerequisites

1996

( )

(85)

5 ( )

[19] 2004

15 22

Huang, M. C. [16]

Parental consent for newborn screening in southern Taiwan 2005 23 15 8 /

(86)

5 (meta-analysis)

(systematic review)

PubMed

sensitivity

specificity

Congenital Adrenal Hyperplasia

Maple Syrup Urine Disease

Medium Chain Acyl-CoA Dehydrogenase

Deficiency

Glutaric Acidemia Type I

Isovaleric Acidemia

Methylmalonic Acidemia

噁1饋8

)

噁18 )

A

噁41 )

噁6 )

噁5 )

噁6 )

(87)

+ Sensitivity 1癇Sensitivtiy CAH CAH CAH CAH 1癇Specificity Specificity 噁 ) 噁 ) 6 6 噁 CHA )

(88)

7 (CAH) 8 (MSUD) CAH (97.52%) (2.48%) (90%)

(10%)

MSUD (71.96%) (1.54%) (26.5%) (28%) (22%) (50%)

(89)

9 (GA I) 10 ( IVA) GAⅠ (100%) (0%) (0%) (75%) (5%) (20%) IVA (100%) (0%) (95%) (5%)

(90)

11 (MMA) MMA (8%) (73.6%) (18.4%) (0%) (20%) (80%)

(91)

12 A (MCAD) MCAD (94.6%) (5%) (0.40%) (75%) (5%) (20%)

(92)

13 6 sROC α ( ) β ( ) S (95% ) Q CAH 0.64 (3.59) -0.40 (0.37) 0.0398 (-2.2590 to 2.3387) 0.5793 MCAD -5.53 (1.71) 0.02 (0.16) 0.0049 (-0.2118 to 0.2167) 0.0592 MMA 24.68 (-) -3.35 (-) 0.0005 (-) 0.9999 70.0% 71.0% 72.0% 73.0% 74.0% 75.0% 76.0% 77.0% 78.0% 79.0% 80.0% 81.0% 82.0% 83.0% 84.0% 85.0% 86.0% 87.0% 88.0% 89.0% 90.0% 91.0% 92.0% 93.0% 94.0% 95.0% 96.0% 97.0% 98.0% 99.0% 100.0% 0.00% 0.20% 0.40% 0.60% 0.80% 1.00% 1.20% 1.40% S e n si ti v it y 1-Specificity CAH MCAD MMA

(93)

7

(95% ) (95% )

CAH 0.94(0.91-0.97) 0.998(0.996-0.999)

MCAD 0.92(0.76-0.98) 0.999(0.998-0.999)

MMA 0.74(0.49-0.89) 0.999(0.998-0.999_

P-value CAH vs. MCAD 0.600 0.060

P-value CAH vs. MMA 0.004 0.037

(94)

8

-CAH Larsson [43] 1992 Swden 557410 1/11612 92.00% 99.96%

CAH Balsamo [44] 1996 Italy Mar, 1991~ Aug, 1995 128,330 10 1/11661 91.00% 99.66%

CAH Cartigny-Maciejewski [45] 1999 France 1980~1996 408,138 49 1/11661 97.00% 99.62%

CAH Kwon [46] 2000 USA 1993 60 1/19200 100.00% 99.00%

CAH Kwon [46] 2000 USA 1994 51 1/25100 100.00% 99.20%

CAH van der Kamp [54] 2001 Netherlands 1998~1999 176,684 1/11778 100.00% 99.86%

CAH Steigert [48] 2002 Switzerland Jan, 1993~ May, 2001 333,221 30 1/10749 97.00% 99.99%

CAH van der Kamp [47] 2004 Netherlands 1998-2001 647,674 1/14700 100.00% 99.95%

CAH Varness [49] 2005 Wisconsin, American Jan, 2000~ Jun, 2003 239,879 1/21345 0.0047 86.00% 99.65%

CAH Matern [50] 2007 USA Jun, 2004~ Mar, 2007 204281 9 1/22698 92.70% 99.94%

CAH Gleeson [51] 2008 Australia Apr, 1995~Dec, 1997 185,854 12 1/15488 90.90% 99.60%

MACD Insinga [34] 2002 Wisconsin, USA 155,500 7 4.5/100000 90.00% 99.90%

MACD Schulze [5] 2003 Germany Apr, 1998~Sep, 2001 250,000 16 1/20800 1/2400 100.00% 99.98%

MACD Venditti [8] 2003 USA 930,078 13 1/71544 1/15000 100.00% 99.99%

MACD Tran [36] 2007 Canada 2003-2004 330803 20 1/160000 100.00% 99.99%

MMA Schulze [5] 2003 Germany Apr, 1998~Sep, 2001 250,000 1 1/250000 100.00% 99.92%

(95)

9 Yoo [33] SW* SW* SW* CAH 50,000 300,000 CAH 2,800,000 CAH 255,700~292,000 SW* SW* 2% 9% 613,200 136,300

(96)

9 ( ) Autti-Ramo [10] ( ) ( ) ( ) CAH MCAD LCHADD PKU GA I 2,500,000 45 5 10 1 3 1 5 5500 25500 - Carroll [9] ( ) CAH GAL 4838.71

(97)

9 ( ) Insinga [34] MCAD 41,862 150 300 MCAD 20 30

(98)

9 ( ) Tran [36] MCAD ( ) ( ) MCAD 1:160000 100% 99% 934,923 450,521 2,676 MCAD 2 -756 7,875 -860 7,363

(99)

9 ( ) Venditti [8] MCAD MCAD MCAD MCAD 11,000 5,600 Markov 70 300 100 MCAD 70 MCAD 97.5% 99.5% 20 50,000

(100)

9 ( ) Thil'en [35] 2.6 150 2.6 CAH 26,700 53,400 - *SW:

(101)

10 / // / 噁噁噁噁 )))) 40(59.70%) 2(2.99%) 4(5.97%) 5(7.46%) 13(23.88%) 2(5%) 19(47.5%) 3(7.5%) 16(40%) 9(22.5%) 3(7.5%) 13(32.5%) 6(15%) 6(15%) 3(7.5%) 2941.45 $305.68 $2,504.92 $709.86 $6,918.91 $2,083.33 $2,474.83

(102)

10 ( ) / // / 噁噁噁噁 ))) ) 2(12.5%) 4(25%) 2(12.5%) 1(6.25%) 7(43.75%) A 0(0%) $85.42 $348.33 $6.21 ( ) 178.75 $858.18 ( ) 58.67 $1,239.57

(103)

11 † †† † 18 3 16.67% 60 19 31.67% 86 3 3.49% 338 15 4.44% 3 2 66.67% 6 4 66.67% 10 5 50.00% 34 2 5.88% 13 4 30.77% 1 2 - 4 1 25.00% 3 7 - A 1 0 0.00% 577 67 11.61%

(104)

12 6 (A) (B) (C) (D) 198,819 1 : 9,400 90% 19.04 10% 2.12 1 :127,056 28% 0.44 22% 0.34 50% 0.78 1:67,131 95% 2.81 5% 0.15 1:151,046 0% 0.00 20% 0.26 80% 1.05 1:33,566 75% 4.44 20% 1.18 5% 0.30 A 1:67,131 75% 2.22 20% 0.59 5% 0.15

(105)

13 6 (A) (B) (C) (E) (D’) 198,819 1 : 9,400 94% 99.8% 97.52% 20.63 10% 80% 2.48% 0.52 1 :127,056 100% 99.9% 71.96% 1.13 22% 93% 1.54% 0.02 50% 53% 26.50% 0.41 1:67,131 74% 99.9% 95% 100.00% 2.96 5% 100% 0.00% 0.00 1:151,046 100% 99.9% 8.00% 0.11 20% 8% 18.40% 0.24 80% 8% 73.60% 0.97 1:33,566 100% 100.0% 75% 100.00% 5.92 20% 100% 0.00% 0.00 5% 100% 0.00% 0.00 A 1:67,131 92% 99.9% 75% 94.60% 2.80 20% 98% 0.40% 0.01 5% 5.00% 0.15

(106)

14 QALY (F) (G) ∆QALY(I) 19.04 20.63 1.59 0.00 0.00 0.00 0.44 1.13 0.69 0.19 0.01 -0.18 0.44 0.23 -0.21 2.81 2.96 0.15 0.08 0.00 -0.08 0.00 0.11 0.11 0.00 0.00 0.00 0.41 0.38 -0.03 4.44 5.92 1.48 0.00 0.00 0.00 0.17 0.00 -0.17 A 2.22 2.80 0.58 0.00 0.00 0.00 0.08 0.08 0.00 30.33 20.63 3.92

(107)

15 6 (K) (L)†††† (J) $1,966 $71,282 $1,762,955 - - $1,762,955 - - - $0 - - - $0 $261 $255,004 $6,120,222 $492,251 $5,667,676 $11,787,898 $261 $255,004 $6,138,914 $492,251 $5,667,676 $11,806,590 - - - $0 $1,180 $16,767 $431,607 $492,251 $5,667,676 $6,099,283 - - - $0 - - - $0 $2,085 $92,421 $2,235,924 $492,251 $5,667,676 $7,903,600 - - - $0 - - - $0 $218 $137,762 $3,308,207 $492,251 $5,667,676 $8,975,883 A - - - $0 - - - $0 $852 $38,488 $943,205 $492,251 $5,667,676 $6,610,881 †

(108)

16 6 (K’) (L’)†††† (M) (N) (J’) $2,941.45 $14,583 $1,616 $70,577 $1,737,560 - - $1,755,084 $2,941.45 $14,583 - - - $17,525 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 $852 $70,625 $1,713,732 $492,251 $5,667,676 $7,399,069 $3,077.45 $14,583 $1,180 $25,665 $645,601 $492,251 $5,667,676 $6,330,938 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 $1,180 $25,665 $645,601 $492,251 $5,667,676 $6,330,938 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 $1,180 $25,665 $635,127 $492,251 $5,667,676 $6,320,463 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 $852 $14,959 $379,078 $492,251 $5,667,676 $6,064,414 A $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 - - - $17,661 $3,077.45 $14,583 $852 $70,625 $1,713,732 $492,251 $5,667,676 $7,399,069 †

(109)

17 6 (O) (P) QALY (T) (Q) (O’) (P’) QALY (T’) (R) (S) (Q’) $1,762,955 19.04 19.04 33,559,377 $1,755,084 20.63 20.63 $17,525 0.0025 $36,201,140 $0 2.12 0.00 0 $17,525 0.52 0.00 $17,525 0.0025 $9,237 $1,762,955 21.15 19.04 33,559,377 $1,772,609 21.15 20.63 $35,050 0.0051 $36,210,377 $0 0.44 0.44 0 $17,661 1.13 1.13 $17,661 0.0000 $19,887 $11,787,898 0.34 0.19 4,058,091 $7,399,069 0.02 0.01 $17,661 0.0000 $178,304 $11,806,590 0.78 0.44 9,237,558 $6,330,938 0.41 0.23 $17,661 0.0000 $2,625,286 $23,594,488 1.56 1.07 13,295,649 $13,747,668 1.56 1.37 0.0000 $2,823,477 $0 2.81 2.81 0 $17,661 2.96 2.96 $17,661 0.0008 $52,319 $6,099,283 0.15 0.08 903,199 $6,330,938 0.00 0.00 $17,661 0.0008 $14 $6,099,283 2.96 2.90 903,199 $6,348,599 2.96 2.96 0.0015 $52,332 $0 0.00 0.00 0 $17,661 0.11 0.11 $17,661 0.0000 $1,860 $0 0.26 0.00 0 $17,661 0.24 0.00 $17,661 0.0000 $4,277 $7,903,600 1.05 0.41 8,322,688 $6,320,463 0.97 0.38 $17,661 0.0000 $6,123,157 $7,903,600 1.32 0.41 8,322,688 $6,355,785 1.32 0.48 0.0000 $6,129,294 $0 4.44 4.44 0 $17,661 5.92 5.92 $17,661 0.0000 $104,609 $0 1.18 0.00 0 $17,661 0.00 0.00 $17,661 0.0000 $0 $8,975,883 0.30 0.17 2,658,309 $6,064,414 0.00 0.00 $17,661 0.0000 $0 $8,975,883 5.92 4.61 2,658,309 $6,099,736 5.92 5.92 0.0000 $104,609

(110)

17 6 ( ) † (O) (P) QALY (T) (Q) (O’) (P’) QALY (T’) (R) (S) (Q’) A AA A $0 2.22 2.22 0 $17,661 2.80 2.80 $17,661 0.0002 $49,485 $0 0.59 0.00 0 $17,661 0.01 0.00 $17,661 0.0002 $213 $6,610,881 0.15 0.08 978,958 $7,399,069 0.15 0.08 $17,661 0.0002 $1,095,679 $6,610,881 2.96 2.30 978,958 $7,434,390 2.96 2.89 0.0007 $1,145,378 $54,947,090 35.88 30.33 $59,718,180 $41,758,787 35.88 34.25 $282,300 0.0073 $46,465,466

(111)

18 -QALY 1% $39,743,565 1,107,724 10,129,972 2% $27,661,068 770,963 7,050,345 3% $18,563,368 517,394 4,731,493 4% $12,412,249 345,951 3,163,675 5% $8,420,073 234,682 2,146,136 6% $5,849,804 163,044 1,491,017 7% $4,173,961 116,336 1,063,873 8% $3,051,754 85,058 777,841 9% $2,273,312 63,361 579,429 14 - QALY

47,720

436,390

0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 12,000,000 1% 2% 3% 4% 5% 6% 7% 8% 9% 10%

-QALY

(112)

15 - CAH 16 - MSUD $375,528 $4,187,792 $0.00 $1,000,000.00 $2,000,000.00 $3,000,000.00 $4,000,000.00 $5,000,000.00 $6,000,000.00 $7,000,000.00 $8,000,000.00 QALY 1,297,339 12,275,922 0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 12,000,000 14,000,000 1 /9 4 0 0 0 0 1 /8 2 2 6 9 1 1 /3 4 5 8 5 4 1 /3 4 0 0 0 0 1 /3 3 0 0 0 0 1 /3 2 0 0 0 0 1 /3 1 0 0 0 0 1 /3 0 2 0 9 1 1 /3 0 0 0 0 0 1 /2 9 0 0 0 0 1 /2 8 0 0 0 0 1 /2 7 0 0 0 0 1 /2 6 0 0 0 0 1 /2 5 0 0 0 0 1 /2 3 2 8 1 8 1 /1 9 0 6 3 0 1 /1 8 5 9 7 8 1 /1 6 8 6 3 0 1 /1 5 3 8 3 3 1 /1 1 9 8 1 1 1 /1 0 4 5 7 4 1 /1 0 2 0 8 5 1 /1 0 0 0 0 0 1 /4 9 7 4 4 1 /2 5 7 0 0 QALY

(113)

17 - IVA 18 - MMA 368,878 4,082,333 0 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000 3,500,000 4,000,000 4,500,000 1/71000 1/70000 1/69000 1/68000 1/67131 1/67000 1/66000 1/65000 1/64000 1/62500 QALY $671,046 $8,138,581 $0 $1,000,000 $2,000,000 $3,000,000 $4,000,000 $5,000,000 $6,000,000 $7,000,000 $8,000,000 $9,000,000 QALY

(114)

19 - GAI 20 - MCAD $375,595.79 $4,053,870.84 $0.00 $500,000.00 $1,000,000.00 $1,500,000.00 $2,000,000.00 $2,500,000.00 $3,000,000.00 $3,500,000.00 $4,000,000.00 $4,500,000.00 QALY $151,569 842,092 $0 $500,000 $1,000,000 $1,500,000 $2,000,000 $2,500,000 $3,000,000 $3,500,000 QALY

(115)

19 6 QALY QALY QALY 1 1.59 1 $2,651,000 6 $1,666,717 5 2 0.30 4 -$10,472,172 1 $34,796,722 1 3 0.06 6 -$850,867 4 $13,133,449 3 4 0.07 5 -$2,193,394 3 $30,307,089 2 5 1.31 2 -$2,553,700 2 $1,943,136 4 6 A 0.58 3 $166,420 5 $286,691 6

(116)

20 $1,762,955 19.04 $33,623,503 $1,755,084 20.63 $36,201,095 $0 2.12 $0 $17,525 0.52 $9,193 $1,762,955 $21 $33,623,503 $1,772,609 $21 $36,210,288 $0 0.44 $0 $17,661 1.13 $19,887 $11,787,898 0.34 $2,274,619 $7,399,069 0.02 $178,304 $11,806,590 0.78 $5,169,588 $6,330,938 0.41 $2,625,286 $23,594,488 $2 $7,444,207 $13,747,668 $2 $2,823,477 $0 2.81 $0 $17,661 2.96 $52,305 $6,099,283 0.15 $130,985 $6,330,938 0.00 $0 $6,099,283 $3 $130,985 $6,348,599 $3 $52,305 $4,133,877 0.99 $0 $4,151,538 4.18 $17,333,496 $0 3.98 $0 $17,661 0.80 $14,045 $4,133,877 $5 $0 $4,169,199 $5 $17,347,542 $0 4.44 $0 $17,661 5.92 $104,609 $0 1.18 $0 $17,661 0.00 $0 $8,975,883 0.30 $1,119,209 $6,064,414 0.00 $0 $8,975,883 $6 $1,119,209 $6,099,736 $6 $104,609

(117)

20 ( ) $0 2.22 $0 $17,661 2.80 $49,481 $0 0.59 $0 $17,661 0.01 $209 $6,610,881 0.15 $207,376 $7,399,069 0.15 $1,095,675 $6,610,881 $3 $207,376 $7,434,390 $3 $1,145,365 $51,177,367 $40 $42,525,280 $39,572,200 $40 $57,683,585

(118)

21 $1,762,955 19.04 $33,623,503 $1,755,084 20.63 $36,201,095 $0 2.12 $0 $17,525 0.52 $9,193 $1,762,955 $21 $33,623,503 $1,772,609 $21 $36,210,288 $0 0.44 $0 $17,661 1.13 $19,887 $11,787,898 0.34 $2,274,619 $7,399,069 0.02 $178,304 $11,806,590 0.78 $5,169,588 $6,330,938 0.41 $2,625,286 $23,594,488 $2 $7,444,207 $13,747,668 $2 $2,823,477 $0 2.81 $0 $17,661 2.96 $52,305 $6,099,283 0.15 $130,985 $6,330,938 0.00 $0 $6,099,283 $3 $130,985 $6,348,599 $3 $52,305 $4,133,877 0.84 $0 $4,151,538 3.79 $15,742,529 $0 4.13 $0 $17,661 1.18 $20,813 $4,133,877 $5 $0 $4,169,199 $5 $15,763,342 $0 4.44 $0 $17,661 5.92 $104,609 $0 1.18 $0 $17,661 0.00 $0 $8,975,883 0.30 $1,119,209 $6,064,414 0.00 $0 $8,975,883 $6 $1,119,209 $6,099,736 $6 $104,609

(119)

21 ( ) $0 2.22 $0 $17,661 2.80 $49,481 $0 0.59 $0 $17,661 0.01 $209 $6,610,881 0.15 $207,376 $7,399,069 0.15 $1,095,675 $6,610,881 $3 $207,376 $7,434,390 $3 $1,145,365 $51,177,367 39.53 $42,525,280 $39,572,200 39.53 $56,099,385

(120)

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(121)

「新生兒篩檢之 6 項新增篩檢疾病項目成本效益評估」專

家會議記錄

時間:99 年 04 月 09 日 (星期五)下午 1 點 30 分

地點:本校立夫教學大樓 15 樓會議室

主席:李采娟教授

紀錄:曾俊華

出席人員: 國立臺灣大學醫學院附設醫院新生兒篩檢中心張幸宇醫

檢師、財團法人中華民國衛生保健基金會附設醫事檢驗所江傳箕所

長、醫療財團法人病理發展基金會台北病理中心江宏執行長、行政

院國軍退除役官兵輔導委員會臺中榮民總醫院許嘉琪醫師、本校附

設醫院周宜卿醫師、林聖凱婦產科診所林聖凱醫師、本校附設醫院

李佳霙專員

壹、 報告事項:(略)。

貳、 討論事項及決議:

一、 成本分析問卷初稿

(一) 採檢醫院

1. 新生兒新增 6 項疾病項目,並未增加採檢醫院作業

流程之採檢動作,可藉由評估新增項目推動後,新

生兒篩檢複檢增加比率及人次數來估算採檢醫院新

增之成本,以及相關衛教時間所需增加之成本。

2. 建議加強問卷說明部分,應指定由最熟悉此項業務

之人員負責填答回覆,俾能夠詳盡回答問卷之內

容。

3. 新增 6 項疾病項目對於採檢醫院所增加之電力成本

有限,其相較較多聯絡電話與傳真費用,建議修正

相關題目納入聯絡之成本。

(二) 檢驗機構

1. 建議相關檢驗項目評估,可參考蕭廣仁教授「國內

新生兒先天代謝異常疾病篩檢項目增減可行性之探

討」報告。

(122)

2. 檢驗機構部分成本分析問卷,建議轉請江傳箕所長

協助提列篩檢中心相關成本項目,並惠請三家指定

檢驗機構提供相關項目之成本費用內容。

(三) 確診診斷醫院

1. 相關人員應增加檢驗人員,其包含職稱及訓練費用

及增加成本等部分內容。

2. 確認診斷部分,可進一步與臺北榮總牛道明醫師聯

絡,取得相關確診資料,以協助釐清分析相關成

本。

(四) 衛生局護理督導

1. 衛生局護理督導人員在複檢作業中,僅於個案失落

時,需進行追蹤、家訪工作,並不需建立複檢作業

收案管理,因此建議可刪除該部分相關子題。

(五) 個案部分

1. 特殊營養品皆由國健局統籌補助,建議相關特殊營

養品成本費用可向衛生署國健保局「罕見疾病個案

特殊營養食品暨罕見疾病藥物物流中心」進一步瞭

解即可。

2. 初次篩檢並不需要掛號費,建議應將該子題調整於

確認診斷部分子題項下回答。

3. 建議篩檢費應分為初次篩檢與複檢篩檢等,並採開

放性題目,提供予個案自行填答,以瞭解個案實際

檢驗花費。

4. 個案聯繫可透過國健局函文向各三篩檢中心索取,

或與相關醫院聯繫,於通過該院人體詴驗委員會同

意後,經由醫師聯繫個案,俾能順利完成個案部分

收案。

二、 新生兒篩檢新增 6 種疾病項目與其他疾病具有相同

ICD-9-CM,應如何區分非此 6 項之疾病種類?

(一) 相同 ICD-9-CM 之疾病似無法從資料庫中串聯重大傷病

及治療方式予以區分不同疾病種類,不同疾病亦可能會

使用相同治療藥物,建議再評估資料庫聯結之關聯性。

(二) 新增 6 項疾病項目係屬罕見疾病範圍,個案數並不多,

建議可以個案回溯方式,追蹤其過去病史及治療花費成

本。另建議可與相關醫院進一步聯繫,於通過該院人體

詴驗委員會許可後,申請分析相關疾病項目新增個案的

成本費用。

(123)

三、 新生兒篩檢新增 6 種疾病項目之罹病狀況,包括利用檢

驗項目和藥物的治療、未有篩檢情況下的疾病自然史,

和有篩檢、治療情況下的疾病預後?

各個疾病狀況並不單純,有可能合併有多種疾病狀

況,建議能夠與台北榮總牛道明醫師聯絡,獲取已知確

診個案後,再進一步評估分析各疾病可能之疾病狀況。

參、 臨時動議:無。

肆、 散會 下午 16 點 30 分。

(124)

「新生兒篩檢之

新生兒篩檢之

新生兒篩檢之

新生兒篩檢之 6 項新增篩檢疾病項目成本效益評估

項新增篩檢疾病項目成本效益評估

項新增篩檢疾病項目成本效益評估

項新增篩檢疾病項目成本效益評估」

」第

二次

二次

二次

二次專家

專家

專家座談會

專家

座談會

座談會會議

座談會

會議

會議記

會議

記錄

時間

時間

時間

時間:

:99 年 12 月 03 日 (星期五)下午 2 點 00 分

地點

地點

地點

地點:

:本校立夫教學大樓 15 樓會議室

主席

主席

主席

主席:

:李采娟教授

紀錄

紀錄

紀錄

紀錄:

:曾俊華

出席人員

出席人員

出席人員

出席人員:

:本校醫學院林正介院長、本校附設醫院兒童發展與行為

科郭煌宗主任、本校附設醫院小兒遺傳科周宜卿醫師、本院附設醫

院婦產部張穎宜醫師、本校附設醫院李佳霙專員

壹、

、 報告事項

報告事項

報告事項

報告事項:

:(略

略)。

貳、

、 討論事項

討論事項

討論事項

討論事項及決議

及決議

及決議:

及決議

一、

、 國內新生兒篩檢項目,自 95 年 7 月起,除原有 5 項篩檢項

目之外,增加先天性腎上腺增生症、楓漿尿症、中鏈醯輔

酶 A 去氫酶缺乏症、戊二酸血症第一型、異戊酸血症、甲

基丙二酸血症 6 項篩檢疾病。目前經由本計畫執行之成

果,在考量長期效益、醫療成本、社會成本及生活品質調

整的生命餘命等因素下,實施新生兒篩檢具有成本效益及

並能夠改善生活品質(調整相較於未實施篩檢計畫前每一單

位成本,約減少 13,252,714 元;每單位生活品質調整生活

餘命則增加 3.92QALY。

二、

、 新增 6 項新生兒篩檢疾病大部分初期症狀為正常,之後隨

著症狀發作逐步發展成為異常,甚至死亡。經過早期診斷

與飲食等協助確實對延長個案生命與生活品質有助益,但

是他們可能會產生其他進行性腦病變,過度性遲 緩(未接

受治療大部份可能會有殘障或死亡後遺症產生)。新生兒篩

檢計畫的成本效益關鍵為評估成本是否國家政策所能負

擔。

三、

、 文獻上 Maple syrup urine disease(楓糖尿症)之盛行率為

180,000 之 1,Pompe disease(龐貝氏症)之盛行率為 100,000

之 1(大人與小孩),而國內之新生兒出生率約每年 190,000

名新生兒,以台大醫院於 2008 年台灣大規模(132,538 人)

(125)

研究中,共發現 4 位 Pompe disease。國家應就可接受的盛

行率與篩檢成本來決定是否建議未來納入此項新生兒疾病

篩檢。

四、

、 另以蘭嶼之 Homocystinuria(高胱胺酸尿症)為例,在臺灣地

區的發生率為 50 萬分之 1,歐美地區則為 20 萬分之 1,

但在蘭嶼地區,新生兒帶基因比率竟高達 10~200 分之 1,

因此執行高胱胺酸尿症之新生兒篩檢之族群,自然是首選

此南島民族,而非全部的臺灣新生兒,以免造成健保資源

的部份排擠。

五、

、 新生兒篩檢對於提供新生兒早期診斷與治療是值得肯定的

結果,除可以簡單透過採血檢查,即可以篩選多種潛藏性

代謝異常之疾病,並能夠在新生兒臨床症狀尚未表現出

來,即可積極進行介入治療,的確可以減少診斷之時間、

節省錯誤的治療方向,與改善病患的預後、免除家長的疑

慮與擔心,以及提供新生兒未來能夠健康發展,實質意義

更甚為重大。

六、

、 未來更可以因應不同疾病的發生率,如龐貝氏症、高雪氏

症、黏多醣疾病第一、二、六型等疾病,以在國家政策上

經濟成本可以負荷承擔,納入其他項疾病篩檢,以提供更

具效益與為下一代新生兒健康把關。

參、

、 臨時動議

臨時動議

臨時動議

臨時動議:

:無

無。

肆、

、 散會

散會

散會

散會 下午

下午 16 點

下午

下午

點 30 分

分。

參考文獻

Outline

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