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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Pediatrics. 2015 May 11;135(6):1000–1008. doi: 10.1542/peds.2014-3662

Table 3.

Monte Carlo simulation model estimates of number of nonsyndromic critical congenital heart defect (CCHD) cases in 2012 in the United States estimated to be prenatally diagnosed, timely detected, and true positives and false negatives resulting from CCHD screening through pulse oximetry, assuming universal implementation of CCHD screening in all states, in the primary analysis and under scenarios of low and high prenatal diagnosis prevalence

Results of Monte Carlo simulation using 10,000 iterations
Mean (95% uncertainty interval) of the estimated number of CCHD cases in 2012a,b that would be…

Analysis CCHD screening through pulse oximetry
Born alive Prenatally diagnosed Timely detected True positives False negatives

N Per
10,000
births
N (%) Per 10,000
births
N (%) Per 10,000
births
N (%) Per 10,000
births
N (%) Per 10,000
births
Primary 5,965 15.09 1,800
(1,580–2,020)
(30%) 4.55 2,410
(2,150–2,680)
(40%) 6.10 875
(705–1,060)
(15%) 2.21 880
(700–1,080)
(15%) 2.23
If prenatal diagnosis were universally
"Low"
(~19%)c
5,970 15.10 1,095
(895–1,310)
(18%) 2.77 2,750
(2,415–3,100)
(46%) 6.96 1,105
(885–1,350)
(19%) 2.80 1,020
(805–1,260)
(17%) 2.58

"High"
(~ 42%)c
5,965 15.09 2,455
(2,155–2,785)
(41%) 6.21 1,985
(1,720–2,270)
(33%) 5.02 740
(575–925)
(12%) 1.87 785
(610–975)
(13%) 1.99

Notes: Differences in the number born alive are due to rounding

a

Calculated using the number of live births in 2012 (3,952,937)26

b

Model inputs were for each specific CCHD type and these estimates for all CCHD combined were derived by summing across the CCHD categories for each of the 10,000 simulations, then calculating the mean and 95% uncertainty interval across the 10,000 simulations for a given parameter

c

See Methods and eTable