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Impact of Syndemics on People Living with HIV/AIDS in San Francisco Priscilla Lee Chu, DrPH, MPH San Francisco Department of Public Health XIX International AIDS Conference July 23, 2012 Washington, DC

Priscilla Lee Chu, DrPH, MPH San Francisco Department of Public Health XIX International AIDS Conference July 23, 2012 Washington, DC

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Impact of Syndemics on People Living with HIV/AIDS in San Francisco

Priscilla Lee Chu, DrPH, MPHSan Francisco Department of Public HealthXIX International AIDS ConferenceJuly 23, 2012Washington, DC

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Introduction: PCSI

Program Collaboration and Service Integration (PCSI) has prioritized the integrated monitoring of syndemics among four communicable disease registries: HIV Tuberculosis Viral Hepatitis STDs

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Introduction: Syndemics

Syndemics are the presence of two or more diseases interacting synergistically to exacerbate health outcomes within a population

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Introduction: Purpose

To assess the prevalence of co-occurring infections within the four registries and their impact on persons living with HIV/AIDS (PLWHA)

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Methods 1/2

HIV/AIDS cases were matched against seven diseases from three other registries

HIV

STDSyphilis

Gonorrhea Chlamydia

Viral HepatitisChronic Hepatitis B

Hepatitis C

TBActive TBLatent TB

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Methods 2/2

Chi-square, t-test, and Kruskal-Wallis tests were used to assess differences between those with HIV only versus HIV plus at least one co-infection by: Demographics Health status Neighborhood

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Results: Syndemics with HIV

HIV14%

Syphilis 1%

Gonorrhea 2%

Chlamydia 2%

HCV 4%HBV 4%

LTBI 2%

Active TB 1%

HIV N=15,056 N=2,050 (14%) with

one or more infection in addition to HIV

Syndemic rate 13,616 per 100,000 HIV cases

Highest co-morbidities: HCV, HBV, Chlamydia, and latent TB

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Results: Characteristics of PLWHA with at least one other disease

Injection Drug Users

Very High Viral Loads (>100K)

Virologically Unsuppressed

Homeless

African American

Women

Transgender

Age 20-29

0tan28a566028 0tan9a56609 0tan19a566019 0tan29a566029

0tan26a566026

0tan25a566025

0tan22a566022

0tan22a566022

0tan20a566020

0tan17a566017

0tan17a566017

0tan15a566015

Percent of HIV syndemic (all p<0.01)

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Results: Mean viral load by specific co-infection

0tan28a566028

0tan6a57156

0tan14a576914

0tan22a582422

0tan29a587929

13823

0tan26a573726

0tan14a586514

0tan15a587115

0tan20a567720

0tan15a569315

0tan19a570719

0tan24a569924

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Results: Suppression rates by specific co-infection

0%

20%

40%

60%

80%

100%

82%64% 67% 61%

78%65%

74% 69%

18%36% 33% 39%

22%35%

26% 31%

Percent Unsup-pressedPercent Suppressed

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Results: Mean viral load by number of co-infections

0tan28a566028

0tan6a57156

0tan14a576914

0tan22a582422

0tan30a569830

0tan20a570320

0tan2a58302 0tan28a582028

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Results: Viral suppression rates by number of co-infections

0%

20%

40%

60%

80%

100%

82%71% 65%

39%

18%29% 35%

61%

Percent Unsup-pressedPercent Suppressed

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Results: PLWHA syndemics and poverty, San Francisco, 2009

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Conclusion 1/3

Syndemics are associated with poorer HIV health outcomes among PLWHA Significant “dose-response

relationship” between the number of co-infections and mean VLs

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Conclusion 2/3

In addition to numbers of co-infections, particular demographic subgroups, and certain geo-clusters were also associated with poorer health outcomes, underscoring the need to address multiple conditions in tandem in an integrated health system

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Conclusion 3/3

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Thanks & AcknowledgementsGlenn-Milo SantosAnnie VuIsrael Nieves-RiveraGrant ColfaxJennifer GrinsdaleSandra HuangSusan PhilipSusan ScheerTomas Aragon