Validity of Claims Data for the Identification of Male Infertility

Male Infertility Increases the Risk of Cardiovascular Diseases: A Nationwide Population-Based Cohort Study in Taiwan

PURPOSE

Some evidence suggests that male infertility increases the risk of cardiovascular diseases (CVDs). However, the evidence in Asian populations is relatively scarce. The aim of this study is to determine whether male infertility increases the risk of CVDs.

MATERIALS AND METHODS

We used inpatient and outpatient data for the years 2000 to 2015 from the Taiwanese Longitudinal Health Insurance Database. We enrolled 7,016 males over 18 years old and diagnosed with male infertility. Of these, 2,326 matched our inclusion criteria and were assigned to the study group. For each infertility patient, four comparison patients were frequency-matched by age and index date to form a control cohort comprising 9,304 patients. Cox proportional hazards analysis was used to estimate the association between male infertility and CVDs.

RESULTS

After a 15-year follow-up, the incidence rate of CVDs was higher in the infertility group than the control group (1,460.23 and 1,073.70 per 100,000 person-years, respectively). The Cox proportional hazards regression analysis revealed that the adjusted HR for CVDs was 1.472 for the infertility group (95% CI, 1.288-1.683; p<0.001) relative to the control group. The Kaplan-Meier analysis of the cumulative incidence of CVDs in the two groups showed that the cumulative risk curve for CVDs was significantly higher for the infertility group than the control group.

CONCLUSIONS

This study shows that men with infertility have a higher risk of developing incident CVDs. In the future, healthcare providers should pay attention to these patients because of their higher health risks.

Are Infertile Men Less Healthy Than Fertile Men? An Analysis of the National Survey for Family Growth

OBJECTIVE

To characterize the general health status of infertile men in the United States using a nationally representative sample of men.

METHODS

Using the National Survey for Family Growth from 2011 to 2017, infertile subgroups were created using a range of inclusion criteria. Univariate and multivariate analyses were conducted comparing these men to fertile men.

RESULTS

Using population estimates, 6.5 million men with reduced fertility potential were compared to 26 million fertile men. After controlling for demographic and healthcare utilization factors, these groups did not have significantly different rates of key medical co-morbidities, including cancer, obesity, and overall disability. Looking at the subset of men who had received a specific infertility diagnosis, estimated as a population of nearly 600,000 men, this pattern held, in that there were no significant differences in the rates of medical co-morbidities. Notably, the rate of male infertility evaluation among potentially infertile men was only 50%. These findings also persisted after a propensity-matched analysis.

CONCLUSION

In this cohort, there was no significant relationship between infertility and specific medical co-morbidities. We must consider the influence of sample selection as we continue to investigate the relationship between medical co-morbidities and reduced fertility potential. Given the persistent low rates of infertility evaluation, even among men who seek medical advice to conceive, we must continue to search for ways to characterize the infertile male population while simultaneously working to improve access.

Validation of International Classification of Diseases, Tenth Revision, Clinical Modification Codes for Identifying Cases of Chlamydia and Gonorrhea

BACKGROUND

While researchers seek to use administrative health data to examine outcomes for individuals with sexually transmitted infections (STIs), the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes used to identify persons with chlamydia and gonorrhea have not been validated. Objectives were to determine the validity of using ICD-10-CM codes to identify individuals with chlamydia and gonorrhea.

METHODS

We used data from electronic health records gathered from public and private health systems from October 1, 2015, to December 31, 2016. Patients were included if they were aged 13 to 44 years and received either (1) laboratory testing for chlamydia or gonorrhea or (2) an ICD-10-CM diagnosis of chlamydia, gonorrhea, or an unspecified STI. To validate ICD-10-CM codes, we calculated positive and negative predictive values, sensitivity, and specificity based on the presence of a laboratory test result. We further examined the timing of clinical diagnosis relative to laboratory testing.

RESULTS

The positive predictive values for chlamydia, gonorrhea, and unspecified STI ICD-10-CM codes were 87.6%, 85.0%, and 32.0%, respectively. Negative predictive values were high (>92%). Sensitivity for chlamydia diagnostic codes was 10.6%, and gonorrhea was 9.7%. Specificity was 99.9% for both chlamydia and gonorrhea. The date of diagnosis occurred on or after the date of the laboratory result for 84.8% of persons with chlamydia, 91.9% for gonorrhea, and 23.5% for unspecified STI.

CONCLUSIONS

Disease-specific ICD-10-CM codes accurately identify persons with chlamydia and gonorrhea. However, low sensitivities suggest that most individuals could not be identified in administrative data alone without laboratory test results.

Gaps in male infertility health services research

The field of male infertility remains a niche specialty within urology. Although a male factor is implicated in at least 50% of all cases of infertility, and male infertility is thought to be associated with overall male health and longevity, this subspecialty comprises a relatively small proportion of urologic training. There remains a large knowledge gap with regards to prevalence of male factor infertility, as well as the need for health services for the diagnosis and treatment of male infertility. Health services research is a multidisciplinary approach that combines both qualitative and quantitative methodologies to improve patient care and outcomes pertaining to male infertility. This review summarizes the current literature pertaining to health services for male infertility and identifies opportunities for future research to improve access to and outcomes of male infertility care, including improvements in costs of care, patient education, and health policy.