Background

Hypospadias is a male birth defect in which the opening of the urethra, the tube that allows urine to drain from the bladder and exit the body, is not located on the tip of the penis. Instead the urethra opening is located somewhere along the underside of the penis. The type of hypospadias depends on the location of the opening of the urethra, which can fall into one of three locations: subcoronal (near the head of the penis); midshaft (on the shaft of penis); or penoscrotal (where the penis and scrotum meet). In some cases, boys with hypospadias will have a curved penis, difficulties urinating while standing up, and problems with sexual intercourse. Most cases can be treated with surgery to correct the defect. [1,2]

Recently, CDC reported on risk factors that may contribute to having a baby with hypospadias. The risk factors included, advanced maternal age coupled with obesity, fertility treatments, and certain hormones. [3,4,5]

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 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.

Prevalence

Hypospadias occurs in about 50 out of every 10,000 live male births in the United States.[6]

In Alaska, during 2007-2017, the prevalence of hypospadias was 98.3 per 10,000 live male births.
Reports Defects Births Prevalence (95% CI)
Total 700 625.4 63632 98.3 (90.8, 106.2)
Notes: 95% CI = 95% Confidence Interval

Trend

Prevalence per 10,000 births of hypospadias during 2007-2017 by three-year moving averages, with 95% confidence interval band and Poisson estimated fitted line.
Reports Defects Births Prevalence (95% CI) Predicted Prevalence†
2007-2009 60.3 54.0 5853.7 92.3 (70.3, 119.7) 98.6
2008-2010 63.3 56.6 5912.3 95.8 (73.6, 123.7) 98.8
2009-2011 67.7 60.3 5891.7 102.5 (79.3, 131.1) 99.1
2010-2012 67.3 60.0 5808.3 103.3 (79.8, 132.3) 99.4
2011-2013 71.0 63.2 5812.3 108.6 (84.8, 138.6) 99.7
2012-2014 65.0 58.0 5819.7 99.7 (76.8, 128.1) 100.0
2013-2015 66.7 59.5 5844.3 101.8 (78.4, 130.2) 100.3
2014-2016 62.0 55.4 5811.7 95.5 (72.9, 123.3) 100.5
2015-2017 61.7 55.1 5633.0 97.6 (74.4, 126.1) 100.8
Notes: Each row is based on three-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 detected no significant increase or decrease in the number of live births with hypospadias during 2007-2017. See p-value estimate
Estimate Std. Error t value Pr(>|t|)
0.00283 0.00687 0.41181 0.69279

Regional Distribution

Distribution of hypospadias 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 340 302.0 25936 116.4 (104, 130.3)
Gulf Coast 44 39.3 3992 98.5 (71.6, 133.6)
Interior 122 109.2 11627 93.9 (77.8, 113.1)
Mat-Su 89 79.4 7707 103 (82.3, 127.8)
Northern 24 22.2 4366 50.9 (33.4, 76.3)
Southeast 23 21.2 3848 55 (35.8, 83.4)
Southwest 58 52.1 6156 84.7 (64.5, 110.8)
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 boy with hypospadias. This section provides the descriptive epidemiology of specified maternal, birth, and child characteristics identified from the birth certificate.

Reports Defects Births Prevalence (95% CI)
Birth weight (grams)
  <2500 98 85.6 3481 246.0 (197.6, 301.9)
  2500+ 600 538 60065 89.6 (82.2, 97.3)
Maternal age
  12-19 45 40.4 4719 85.7 (62.4, 115.4)
  20-24 197 175.7 16927 103.8 (89.2, 119.9)
  25-29 209 186.8 19323 96.7 (83.4, 111.1)
  30-34 163 145.5 14556 100.0 (84.7, 117.2)
  35-39 71 63.4 6470 98.0 (76.2, 124.6)
  40+ 15 13.5 1623 83.1 (47.2, 137.0)
Maternal race
  Alaska Native/American Indian 126 114.2 16239 70.3 (58.5, 84.3)
  Asian/Pacific Islander 58 52.1 6164 84.6 (64.4, 110.6)
  Black 32 28.5 2604 109.4 (74.6, 155.4)
  White 472 419.9 37835 111.0 (100.6, 121.9)
Maternal education (years)
  <12 58 52.1 6068 85.8 (65.4, 112.4)
  12 237 211.9 22144 95.7 (83.3, 109.0)
  12+ 386 344.3 33636 102.4 (92.0, 113.7)
Marital status
  Married 465 414.7 40321 102.9 (93.3, 113.1)
  Unmarried 232 207.9 22967 90.5 (78.7, 103.3)
Maternal smoking use
  Reported smoking 91 81.4 8590 94.8 (75.9, 117.2)
  Reported not smoking 603 538.4 53974 99.8 (91.6, 108.5)
Medicaid (mother or child)
  Medicaid 344 307.7 32321 95.2 (85.0, 106.2)
  non-Medicaid 356 317.7 31244 101.7 (90.9, 113.3)
Father on birth certificate
  None 28 25.2 3199 78.9 (53.1, 115.4)
  Present 672 600.1 60433 99.3 (91.7, 107.6)
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 male 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] Kraft KH, Shukla AR, Canning DA. Hypospadias. Urol Clin North Am 2010; 37(2):167-81.

[2] Centers for Disease Control and Prevention. Facts about Hypospadias, https://www.cdc.gov/ncbddd/birthdefects/hypospadias.html#ref; 2016 [accessed 023.07.2017]

[3] Carmichael SL, Shaw GM, Laurent C, Olney RS, Lammer EJ, and the National Birth Defects Prevention Study. Maternal reproductive and demographic characteristics as risk factors for hypospadias. Paediatr Perinat Epidemiol. 2007; 21: 210-218.

[4] Reefhuis J, Honein MA, Schieve LA, Correa A, Hobbs CA, Rasmussen SA, and the National Birth Defects Prevention Study. Assisted reproductive technology and major structural birth defects in the United States. Human Rep. 2009; 24:360-366

[5] Carmichael SL, Shaw GM, Laurent C, Croughan MS, Olney RS, Lammer EJ. Maternal progestin intake and risk of hypospadias. Arch Pediatr Adolesc Med. 2005;159: 957-962

[6] Centers for Disease Control and Prevention, Birth Defects Data and Statistics, https://www.cdc.gov/ncbddd/birthdefects/data.html; 2016 [accessed 02.23.2017]

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 data collection and storage. 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: Hypospadias, Alaska, 2007-2017. Updated June 28, 2021. Available at: http://rpubs.com/AK_ABDR/Hypospadias07_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 28, 2021
Code source: R:\ABDR\Analysis_New\ABDR_CASECONF\cond_reports\Published_reports\Hypospadias07_17.Rmd