Background

Single ventricle is a broad term for a group of rare congenital heart defects where only one of the two ventricles of the heart is of adequate size and function. [1] A normally functioning heart has four chambers. The lower two chambers are called ventricles and are responsible for pumping blood out of the heart. [2] Nearly all cases of single ventricle require a series of medical procedures that begin soon after birth. Symptoms of single ventricle vary depending on the severity but can include cyanosis, difficulty breathing, difficulty feeding, and lethargy. [2] Single ventricle defects are not correctable; however, patients can be treated with a series of operations, or heart transplantation that allow for a patient to survive and even thrive. [3] Due to advances in medicine in the past two to three decades, the majority of patients with single ventricle survive. There are now thousands of people in their 20s and 30s doing well enough that any life expectancy limitations of single ventricle survivors are currently unknown. [2]

Epidemiology

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 all reported cases between 2007 and 2018. The confirmation probability calculated from this time period is used to develop informed estimates of the defect prevalence beyond 2018. See Defect prevalence calculation.

For explanations of table columns see Column descriptions.

Prevalence

Single ventricle occurs in about 4–8 in every 10,000 live births in the United States. [4]

In Alaska, during 2007-2017, the prevalence of Single ventricle was 0.4 per 10,000 live births.
Reports Defects Births Prevalence (95% CI)
Total 21 5.1 123630 0.4 (0.2, 0.9)
Notes: 95% CI = 95% Confidence Interval

Trend

Prevalence per 10,000 births of Single ventricle during 2007-2017 by five-year moving averages, with 95% confidence interval band and Poisson estimated fitted line.
Reports Defects Births Prevalence (95% CI) Predicted Prevalence†
2007-2011 1.3 0.3 11404.7 0.3 (0, 3.2) 0.5
2008-2012 2.0 0.5 11354.0 0.4 (0, 3.2) 0.5
2009-2013 2.7 0.7 11349.0 0.5 (0, 3.2) 0.5
2010-2014 3.0 0.7 11334.7 0.6 (0, 3.2) 0.5
2011-2015 3.0 0.7 11377.3 0.6 (0, 3.2) 0.5
2012-2016 2.0 0.5 11295.0 0.4 (0, 3.3) 0.4
2013-2017 1.0 0.2 10979.7 0.2 (0, 3.4) 0.4
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
The p-value test for trend did not detect a significant change in number of live births with Single ventricle during 2007-2017. See p-value estimate
Estimate Std. Error t value Pr(>|t|)
-0.01623 0.07676 -0.21145 0.84089

Regional Distribution

Distribution of Single ventricle in Alaska by Public Health Region of maternal residence at the time of birth. A description of regional breakdowns can be found here. Data suppressed for # of reports < 6.
Reports Defects Births Prevalence (95% CI)
Anchorage 9 2.2 50455 0.4 (0.1, 1.4)
Gulf Coast - - 7725 -
Interior - - 22487 -
Mat-Su - - 14937 -
Northern - - 8520 -
Southeast - - 7625 -
Southwest - - 11881 -
Notes:Prevalence reported per 10,000 live births; Data suppressed for # of reports < 6; 95% CI = 95% Confidence Interval

Demographics

Some subgroups may be more at risk for having a baby with Single ventricle. 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 7 1.7 59998 0.3 (0.0, 0.9)
  Male 14 3.4 63632 0.5 (0.2, 1.4)
Birth weight (grams)
  <2500 - - 7231 -
  2500+ - - 116215 0.4 (0.1, 0.9)
Maternal age
  12-19 - - 9156 -
  20-24 7 1.7 32872 0.5 (0.1, 1.7)
  25-29 7 1.7 37743 0.4 (0.1, 1.5)
  30-34 - - 28152 -
  35-39 - - 12614 -
  40+ - - 3064 -
Maternal race
  Alaska Native/American Indian 10 2.4 31560 0.8 (0.2, 2.3)
  Asian/Pacific Islander - - 11810 -
  Black - - 5081 -
  White 8 1.9 73595 0.3 (0.0, 0.8)
Maternal education (years)
  <12 - - 11929 -
  12 12 2.9 43162 0.7 (0.1, 1.7)
  12+ - - 65105 -
Marital status
  Married 10 2.4 78396 0.3 (0.1, 0.9)
  Unmarried 11 2.7 44625 0.6 (0.1, 1.6)
Maternal smoking use
  Reported smoking - - 16817 -
  Reported not smoking - - 104707 0.3 (0.1, 0.8)
Medicaid (mother or child)
  Medicaid - - 62666 0.7 (0.3, 1.6)
  non-Medicaid - - 60839 -
Father on birth certificate
  None - - 6328 -
  Present - - 117302 0.4 (0.1, 0.9)
Notes: Prevalence reported per 10,000 live births; Data suppressed for # of reports < 6; 95% CI = 95% Confidence Interval

Technical notes

Column descriptions

# 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).

Defect prevalence calculation

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.

P-value estimate

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.

Data suppression

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.

References

[1] Single Ventricle Heart Defect | Symptoms, Diagnosis & Repair. (2021). Retrieved 23 February 2021, from https://www.cincinnatichildrens.org/health/s/sv

[2] Single Ventricle Heart Defects | Children’s Hospital of Philadelphia. (2021). Retrieved 23 February 2021, from https://www.chop.edu/conditions-diseases/single-ventricle-heart-defects

[3] Single Ventricle Defects. (2021). Retrieved 23 February 2021, from https://www.heart.org/en/health-topics/congenital-heart-defects/about-congenital-heart-defects/single-ventricle-defects

[4] O’Leary, P. W. (2002). Prevalence, clinical presentation and natural history of patients with single ventricle. Progress in pediatric cardiology, 16(1), 31-38.

Authorship

Maternal and Child Health (MCH) senior epidemiologist Dr. Jared Parrish, PhD conceived of the presented analysis. Alaska Birth Defects Registry program manager and epidemiologist Chris Barnett, MS MPH and Dr. Jared Parrish, PhD developed the theory and performed the computations. Research analysts Monica Mills and Jordyn Lord managed the project and data storage. Pediatric cardiologist Dr. James Christiansen, MD performed defect confirmations and provided medical consultation. All authors discussed the results and contributed to the final report.

Suggested Citation

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: Single Ventricle, Alaska, 2007-2017. Updated July 22, 2021. Available at: http://rpubs.com/AK_ABDR/single_ventricle/07_17.

Contact

Alaska Birth Defects Registry (ABDR)
3601 C Street, Suite 358
Anchorage, AK 99503
(907) 269-3400 phone
(907) 754-3529 fax

Updated: June 22, 2021
Code source: R:\ABDR\Analysis_New\ABDR_CASECONF\cond_reports\Published_reports\single_ventricle07_17.Rmd