Completeness of HIV nucleotide sequence ascertainment and its potential impact on understanding HIV transmission – Maryland, 2011–2013*

ABSTRACT HIV nucleotide sequences generated through routine drug resistance testing (DRT) and reported to Maryland's Molecular HIV Surveillance system are most effective for elucidating transmission patterns and identifying outbreaks if DRT is ordered promptly and sequences are reported completely. Among reported cases of HIV infection newly diagnosed during 2011–2013 in Maryland residents aged ≥13 years, we assessed sequence ascertainment completeness. To better understand which populations were most likely to have a sequence, we examined associations between sequence ascertainment and clinical and demographic characteristics. During 2011–2013, 4423 new HIV infection diagnoses were reported; sequences were ascertained for 1282 (29.0%). Among 3267 cases with complete data, odds for having a sequence ascertained were highest for cases in persons living inside Maryland's Central Region with initial CD4 counts ≤500 cells/mm3 (adjusted odds ratio [aOR] 2.4, 95% confidence interval [CI] 1.9–3.1). Sequence ascertainment did not vary significantly by patient age, sex, race/ethnicity or HIV transmission category. Educational interventions, policy changes and improved processes to increase timely DRT and subsequent sequence reporting with a focus on testing at entry to care, particularly for those with higher CD4 counts and those living outside the Central Region, might improve ascertainment completeness.

[1]  M. C. Ocfemia,et al.  Receipt and timing of HIV drug resistance testing in six U.S. jurisdictions , 2017, AIDS care.

[2]  A. Oster,et al.  Disparities in Consistent Retention in HIV Care--11 States and the District of Columbia, 2011-2013. , 2016, MMWR. Morbidity and mortality weekly report.

[3]  J. O. Wertheim,et al.  Using Molecular HIV Surveillance Data to Understand Transmission Between Subpopulations in the United States , 2015, Journal of acquired immune deficiency syndromes.

[4]  P. Kadlecik,et al.  The HIV Care Cascade Measured Over Time and by Age, Sex, and Race in a Large National Integrated Care System. , 2015, AIDS patient care and STDs.

[5]  Richard D Moore,et al.  Disparities in the quality of HIV care when using US Department of Health and Human Services indicators. , 2014, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[6]  R. Valdiserri,et al.  Measuring What Matters: Development of Standard HIV Core Indicators across the U.S. Department of Health and Human Services , 2013, Public health reports.

[7]  Richard D Moore,et al.  Comparing different measures of retention in outpatient HIV care , 2012, AIDS.

[8]  P. Kadlecik,et al.  HIV quality performance measures in a large integrated health care system. , 2011, AIDS patient care and STDs.

[9]  L. Ku Health insurance coverage and medical expenditures of immigrants and native-born citizens in the United States. , 2009, American journal of public health.

[10]  Christopher H Woelk,et al.  A public health model for the molecular surveillance of HIV transmission in San Diego, California , 2009, AIDS.

[11]  M. Beach,et al.  Surveillance for waterborne disease and outbreaks associated with recreational water use and other aquatic facility-associated health events-- United States, 2005-2006; and, Surveillance for waterborne disease and outbreaks associated with drinking water and water not intended for drinking-- United , 2008 .

[12]  N. Ray,et al.  Health insurance coverage among foreign-born US residents: the impact of race, ethnicity, and length of residence. , 1997, American journal of public health.