Transposition of the great arteries (TGA) is a birth defect of the heart where the aorta and pulmonary arteries are transposed or reversed so that the aorta arises from the right ventricle and the pulmonary artery arise from the left ventricle. There are two forms of TGA, dextro and levo. Dextro (D-TGA) is more common and occurs when the aorta is to the right and in front of the pulmonary artery. [1] The reversal of the arteries results in oxygen-poor blood being pumped back out into the body and oxygen-rich blood being sent back into the lungs. [2] TGA may be diagnosed before birth by ultrasound, or after birth typically within a few hours or days by physical examination, pulse oximetry, or echocardiogram. [3] Symptoms can include cyanosis (blue skin tone), respiratory distress, poor weight gain, and lack of appetite. [4] Emergency procedures to stabilize newborns with TGA include medications (prostaglandin) and balloon atrial septostomy (a catheterization procedure to allow increased mixing of oxygenated blood to the right ventricle). A common surgical treatment, typically done within the first month of life, is the arterial switch procedure where the aorta and pulmonary artery are switched back to their correct position. [1] Because an infant with transposition of the great arteries may need these procedures soon after birth, this defect is considered a critical congenital heart defect.
Alaska Birth Defects Registry (ABDR) registers birth defects as reported from health care providers using International Classification of Disease (ICD) billing codes. The use of these ICD codes can lead to misclassification of diagnosed conditions. Prior to this report, all prevalence estimates were based on the number of unique children reported to ABDR with an ICD code representing a specified condition regardless of case confirmation status.
The estimates in this report were derived by conducting medical record review and case confirmation of a random sample of cases of the condition reported to ABDR. The confirmation probability from the sample was used to develop informed estimates of the actual diagnosed defect prevalence. See Defect prevalence calculation.
For explanations of table columns see Column descriptions.
Transportation of the great arteries occurs in about 2.9 out of every 10,000 live births in the United States. This results in about 1,153 babies diagnosed with Transportation of the great arteries nationally each year.[1]
In Alaska, during 2007-2017, the prevalence of Transportation of the great arteries was 2.4 per 10,000 live births.Reports | Defects | Births | Prevalence (95% CI) | |
---|---|---|---|---|
Total | 47 | 29.5 | 123630 | 2.4 (1.6, 3.4) |
Notes: 95% CI = 95% Confidence Interval |
Reports | Defects | Births | Prevalence (95% CI) | Predicted Prevalence† | |
---|---|---|---|---|---|
2007-2011 | 5.3 | 3.3 | 11404.7 | 2.9 (0.9, 7.2) | 3.3 |
2008-2012 | 6.0 | 3.7 | 11354.0 | 3.3 (1.1, 8.2) | 2.9 |
2009-2013 | 5.0 | 3.1 | 11349.0 | 2.7 (0.9, 7.3) | 2.5 |
2010-2014 | 4.0 | 2.5 | 11334.7 | 2.2 (0.7, 6.8) | 2.2 |
2011-2015 | 3.3 | 2.1 | 11377.3 | 1.8 (0.5, 5.8) | 2.0 |
2012-2016 | 3.3 | 2.1 | 11295.0 | 1.9 (0.5, 5.9) | 1.7 |
2013-2017 | 2.3 | 1.5 | 10979.7 | 1.4 (0.2, 5.1) | 1.5 |
Notes: Each row is based on five-year moving averages; Prevalence reported per 10,000 live births; 95% CI=95% Confidence Interval † Estimated rate based on Poisson model |
Estimate | Std. Error | t value | Pr(>|t|) |
---|---|---|---|
-0.12935 | 0.02141 | -6.04081 | 0.00179 |
Reports | Defects | Births | Prevalence (95% CI) | |
---|---|---|---|---|
Anchorage | 16 | 10.1 | 50455 | 2 (1.1, 3.6) |
Gulf Coast | - | - | 7725 | - |
Interior | 11 | 6.9 | 22487 | 3.1 (1.3, 5.8) |
Mat-Su | 6 | 3.8 | 14937 | 2.5 (0.7, 5.9) |
Northern | 6 | 3.7 | 8520 | 4.4 (1.3, 10.3) |
Southeast | - | - | 7625 | - |
Southwest | - | - | 11881 | - |
Notes:Prevalence reported per 10,000 live births; Data suppressed for # of reports < 6; 95% CI = 95% Confidence Interval |
Some subgroups may be more at risk for having a baby with Transportation of the great arteries. This section provides the descriptive epidemiology of specified maternal, birth, and child characteristics identified from the birth certificate.
Reports | Defects | Births | Prevalence (95% CI) | |
---|---|---|---|---|
Sex | ||||
Female | 20 | 12.6 | 59998 | 2.1 (1.1, 3.5) |
Male | 27 | 16.9 | 63632 | 2.7 (1.6, 4.1) |
Birth weight (grams) | ||||
<2500 | 9 | 5.5 | 7231 | 7.6 (3.0, 16.1) |
2500+ | 38 | 24 | 116215 | 2.1 (1.4, 3.1) |
Maternal age | ||||
12-19 | - | - | 9156 | - |
20-24 | 15 | 9.4 | 32872 | 2.9 (1.5, 5.2) |
25-29 | 14 | 8.8 | 37743 | 2.3 (1.1, 4.2) |
30-34 | 11 | 6.9 | 28152 | 2.5 (1.0, 4.6) |
35-39 | - | - | 12614 | - |
40+ | - | - | 3064 | - |
Maternal race | ||||
Alaska Native/American Indian | 16 | 10 | 31560 | 3.2 (1.5, 5.4) |
Asian/Pacific Islander | - | - | 11810 | - |
Black | - | - | 5081 | - |
White | 25 | 15.8 | 73595 | 2.1 (1.2, 3.4) |
Maternal education (years) | ||||
<12 | - | - | 11929 | - |
12 | - | - | 43162 | 3.3 (2.0, 5.4) |
12+ | - | - | 65105 | 1.5 (0.7, 2.6) |
Marital status | ||||
Married | 23 | 14.6 | 78396 | 1.9 (1.1, 3.0) |
Unmarried | 24 | 14.9 | 44625 | 3.4 (1.9, 5.3) |
Maternal smoking use | ||||
Reported smoking | 10 | 6.2 | 16817 | 3.7 (1.7, 7.8) |
Reported not smoking | 35 | 22.1 | 104707 | 2.1 (1.4, 3.2) |
Medicaid (mother or child) | ||||
Medicaid | 37 | 23 | 62666 | 3.7 (2.3, 5.3) |
non-Medicaid | 9 | 6 | 60839 | 1.0 (0.4, 1.9) |
Father on birth certificate | ||||
None | 9 | 5.5 | 6328 | 8.7 (3.5, 18.4) |
Present | 38 | 24 | 117302 | 2.0 (1.4, 3.0) |
Notes: Prevalence reported per 10,000 live births; Data suppressed for # of reports < 6; 95% CI = 95% Confidence Interval |
# Reports: Unless otherwise noted, the number of unique reports of the defect received by ABDR during the specified birth year(s). Each report represents a unique child with the specified defect.
# Defects: The estimated true number of reports that are diagnosed defects based on medical record review and case confirmation.
# Births: The number of live births among Alaskan residents that occurred in Alaska during the specified birth year(s).
Prevalence (95% CI): The estimated diagnosed prevalence of the condition and corresponding 95% Confidence Interval. (For information on how the defect prevalence was estimated see below).
The estimated defect prevalence was calculated using a Bayesian approach based on the reported prevalence, PPV and 1-NPV (see formula below).
Through medical records review and case confirmation of a random sample of reported cases, the defect prevalence is calculated as:
\[PPV (Positive Predictive Value) = p(defect|report)\] \[NPV (Negative Predictive Value) = p(\overline{defect}|\overline{report})\]
\[p(defect) \approx [p(report)\cdot PPV]+[p(\overline{report})\cdot (1-NPV)]\]
Defect prevalence estimates are a more accurate estimation of the actual diagnosed prevalance of birth defects compared to the reported prevalance estimates in Alaska. ABDR obtains reports from medical providers using International Classification of Disease (ICD) codes that are extracted from individual systems which when aggregated may not reflect true diagnostics. Caution should be used when interpreting and comparing the reported prevalence estimates with national estimates.
See Data analysis methods for more information.
To evaluate the trend over time and account for under/over-dispersion we constructed a quasi-Poisson regression model. This model assumes the variance is a linear function of the mean and models the estimated number of annual defects by year with a natural log (ln) offset of the annual births. P-values < 0.05 are considered significant, which indicates that the predicted slope is significantly different from a slope of zero.
For region and demographic data tables, values are suppressed based on the number of reports received during the observation period. Counts less than 6 are suppressed (as indicated by ‘-’ in the table). For regions or demographics with only one cell count suppressed a second is suppressed to eliminate the ability to back-calculate the estimate.
[1] Congenital Heart Defects- Facts about dextro-Transposition of the Great Arteries (d-TGA)- (CDC). (2020). Retrieved 29 January 2021, from https://www.cdc.gov/ncbddd/heartdefects/d-tga.html
[2] transposition of the great arteries. (2018). Retrieved 29 January 2021, from https://www.mayoclinic.org/diseases-conditions/transposition-of-the-great-arteries/symptoms-causes/syc-20350589
[3] Transposition of the Great Arteries. (2021). Retrieved 29 January 2021, from https://www.chop.edu/conditions-diseases/transposition-great-arteries
[4] Transposition of the Great Arteries (TGA) | Symptoms & Causes. (2021). Retrieved 29 January 2021, from https://www.childrenshospital.org/conditions-and-treatments/conditions/t/transposition-of-the-great-arteries/symptoms-and-causes
Centers for Disease Control and Prevention
State of Alaska Department of Health and Social Services, Division of Public Health, Section of Women’s, Children’s, and Family Health. Alaska Birth Defects Registry Condition Report: Transposition of the Great Arteries, Alaska, 2007-2017. Updated July 22, 2020. Available at: http://rpubs.com/AK_ABDR/TGA/07_17.
Alaska Birth Defects Registry (ABDR)
3601 C Street, Suite 358
Anchorage, AK 99503
(907) 269-3400 phone
(907) 754-3529 fax
hssbirthdefreg@alaska.gov
Updated: May 22, 2021
Contributed by: Dr. James Christiansen, MD
Code source: R:\ABDR\Analysis_New\ABDR_CASECONF\cond_reports\Published_reports\TGA07_17.Rmd