tb and gender: some of the evidence stacie stender 14 january 2015

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TB and gender: some of the evidence Stacie Stender 14 January 2015

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Page 1: TB and gender: some of the evidence Stacie Stender 14 January 2015

TB and gender: some of the evidence

Stacie Stender

14 January 2015

Page 2: TB and gender: some of the evidence Stacie Stender 14 January 2015

Outline

Jhpiego background Risk factors for TB Sex distribution Physiological hypotheses

and evidence Behavioural hypotheses

and evidence Gender related outcomes

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Page 3: TB and gender: some of the evidence Stacie Stender 14 January 2015

Reminder

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Page 4: TB and gender: some of the evidence Stacie Stender 14 January 2015

IJTLD 2008 Special Section

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Page 5: TB and gender: some of the evidence Stacie Stender 14 January 2015

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The value of gender studies in TB control can be enhanced by 1.the ongoing collection of accurate disaggregated data 2.a balance in the collection and analysis of gender-based studies to capture not only the experiences of men and women but also the dynamism of the social relationships and interactions of other critical social, cultural and environmental determinants of health

Page 6: TB and gender: some of the evidence Stacie Stender 14 January 2015

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Jhpiego prevents the needless deaths

of women and their families.

Founded 1973 Affiliate of Johns Hopkins University Currently working in more than 50 countries Experience working in 154 countries More than 1500 employees worldwide

Jhpiego: Innovating to Save Lives

Page 7: TB and gender: some of the evidence Stacie Stender 14 January 2015

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Jhpiego’s Technical Expertise

Jhpiego works on: Family planning Maternal and newborn health Malaria Cervical cancer HIV/AIDS and TB Infection Prevention

Page 8: TB and gender: some of the evidence Stacie Stender 14 January 2015

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Jhpiego’s Approach

Jhpiego saves lives by: Building local human resource

capacity Working in partnerships with

government, NGOs, universities, professional associations and communities

Strengthening health care systems Developing evidence-based

innovations & sharing best practices

Page 9: TB and gender: some of the evidence Stacie Stender 14 January 2015

Risk factors for TB

HIV Malnutrition Diabetes Alcoholism Silicosis

Overcrowding Poverty Smoking Male sex

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Page 10: TB and gender: some of the evidence Stacie Stender 14 January 2015

Sex distribution

Varies by geographic location and year. Of 20 high-burden countries with data, median male:female ratio is 1.8:1; only Afghanistan reported a ratio of <1:1 (WHO, 2013)

A study in West Africa found male:female ratios of 2.03:1, with roughly even sex ratios among household contacts and community controls (Lienhardt et al, 2005)

A randomized household prevalence survey of 260,000 individuals in Bangladesh found male:female ratio of 3:1 (Salim et al., 2004)

Male bias dose not arise until puberty

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Page 11: TB and gender: some of the evidence Stacie Stender 14 January 2015

Global age-sex distribution of TB incidence in HIV-negative individuals in 2013

11Murray et al., 2014

Page 12: TB and gender: some of the evidence Stacie Stender 14 January 2015

Extrapulmonary TB (EPTB) is more prevalent in women

In the US, among 253,299 cases, compared with pulmonary TB, extra-pulmonary TB was associated with female sex (OR 1.7; 95% CI, 1.7-1.8). Being female was identified as independent risk factor for EPTB

Lin, 2009; Yang, 2004; Kingkaew, 2009; Lowieke, 2006

Page 13: TB and gender: some of the evidence Stacie Stender 14 January 2015

Tanzania Example

Male Female

Population 49% 51%

TB cases, all forms

59% 41%

Life expectancy

58 years 61 years

Notification rates: 1.8:1 ratio of male:female*

TB case mortality rate higher among males than females

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*Neither the prevalence survey nor active case finding efforts have diagnosed more females than expected from the notification data

Page 14: TB and gender: some of the evidence Stacie Stender 14 January 2015

Gender patterns of tuberculosis testing and disease in South Africa

14McLaren et al, 2015

Page 15: TB and gender: some of the evidence Stacie Stender 14 January 2015

HIV is the strongest risk factor for TB, yet despite higher HIV prevalence among women in sub-Saharan Africa, incidence of TB is higher in men

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Page 16: TB and gender: some of the evidence Stacie Stender 14 January 2015

…except among specific populations

DeLuca A et al, 2009

TB in women 15-24 years of age: in areas of high HIV prevalence, women have TB rates 1.5-2-fold higher than men

Page 17: TB and gender: some of the evidence Stacie Stender 14 January 2015

Physiology vs. behaviour

Physiology Biological differences

between sexes lead to variable susceptibility

Behaviour Primarily related to sex-

specific exposure to infection

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Nhamoyebonde and Leslie; JID 2014:209 (Suppl 3)

Page 18: TB and gender: some of the evidence Stacie Stender 14 January 2015

Physiological effects

Gonads may influence mycobacterial disease in mammals Male mice more susceptible; less severe disease

among castrated; females treated with testosterone increased susceptibility (Yamamoto et al., 1991)

8.1% of institutionalized mentally ill, medically castrated men died from TB compared with 20.6% of intact males and 15.8% of intact females (Hamilton et al., 1969)

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Page 19: TB and gender: some of the evidence Stacie Stender 14 January 2015

Physiological effects

7% TB death rate among women who had oophorectomy compared to country rate of 0.7% (Svanberg, 1981)

M. avium complex most common among post-menopausal women (Tsuyuguchi et al., 2001)

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Page 20: TB and gender: some of the evidence Stacie Stender 14 January 2015

Hypothesized physiological mechanisms

X-linked genetics Differences in immune response and effects of

sex hormones Differences in anatomy Differences in nutrition

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Page 21: TB and gender: some of the evidence Stacie Stender 14 January 2015

Gender-related behaviour

Differences in social roles, risk behaviors, and activities

Males may travel more frequently; have more social contacts; spend more time in settings that may be conducive to transmission; and work in settings associated with a higher risk for TB, such as mining (Narasimhan et al., 2013; Oni et al, 2012);

Time spent in household – household contact does not have gender bias (Grandjean et al., 2011)

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Page 22: TB and gender: some of the evidence Stacie Stender 14 January 2015

Gender-related behaviour

In many countries smoking is more frequent among men; a correlative analysis of cigarette smoking, sex, and TB suggests that smoking might explain up to one-third of the gender bias observed (Watkins and Plant, 2006)

Prevalence of alcohol consumption higher among men in low-income settings (Nhamoyebonde and Leslie, 2014)

Meta-analysis of 29 surveys conducted in 14 countries suggests access to healthcare not a confounding factor (Borgdorff et al., 2000)

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Page 23: TB and gender: some of the evidence Stacie Stender 14 January 2015

Gender related outcomes

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Page 24: TB and gender: some of the evidence Stacie Stender 14 January 2015

TB treatment outcomes stratified by gender in Ebonyi state, Nigeria, 2011-2012

Mean age of females lower than males (36.1 vs 40.2) Of the patients who had sputum smear done after 5

months of treatment, 1.5% of women still had a positive smear compared to 4.3% of men (P=0.02)

Similar treatment success rates Higher treatment failure rate among men - 2.2% vs

0.7% (P=0.01) HIV infection appeared to reverse the

‘immunoprotective effect’ of being female

24Oshi et al., 2014

Page 25: TB and gender: some of the evidence Stacie Stender 14 January 2015

Gender differences in delays in diagnosis and treatment of TB in Bangladesh

Both bivariate and multivariate analyses revealed longer delays for women than for men in total delay, total diagnostic delay and patients’ delay

Older women and young men were less likely to be diagnosed with TB through the existing TB control interventions, necessitating special drives to enhance case detection in these particular groups.

25Karim, et al., 2007

Page 26: TB and gender: some of the evidence Stacie Stender 14 January 2015

Overall

More males than females are diagnosed with TB Evidence that treatment success rates are better

for women than men in many settings (Nigeria, Mexico, India, UK, Malaysia) and equivalent in others (Brazil, Egypt, Syria)

Evidence of better treatment adherence among women than men

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Gender, locally-specific strategies are needed to improve TB control – limiting transmission is essential

Page 27: TB and gender: some of the evidence Stacie Stender 14 January 2015

The Three Delays Model of maternal mortality applies to TB & HIV morbidity and mortality

Delay in

1)decision to seek care

2)reaching care

3)receiving care

Thaddeus S, Maine D. Too far to walk: maternal mortality in context. Soc Sci Med 1994;38:1091-1110.

Page 28: TB and gender: some of the evidence Stacie Stender 14 January 2015

TB in Pregnancy

Prevalence of latent TB in pregnant women in HIV-endemic areas can be high.

In Tanzania, where antenatal prevalence of HIV was 5%, the prevalence of latent TB in pregnancy was 30% (Sheriff et al, 2010)

High rates of latent TB (49%) have been reported in antenatal clinics in South Africa (Nachega, 2003)

Page 29: TB and gender: some of the evidence Stacie Stender 14 January 2015

Country Mean Rate per 1000 pregnant women

South Africa 8400 10.3

Zimbabwe 2400 7.9

DR Congo 16200 7.2

Afghanistan 6100 7.2

Vietnam 900 0.8

Brazil 800 0.4

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Tuberculosis in pregnancy: an estimate of the global burden of disease among 22 HBC

Different epidemiology requires different approaches to TB identification and control: importance of pregnancy status

Sugarman et al., 2014

Page 30: TB and gender: some of the evidence Stacie Stender 14 January 2015

Maternal TB/HIV important risk factor for paediatric TB and mortality, Pune India

HIV-infected mothers have 10-fold increase in TB Maternal TB/HIV increased risk of postpartum mortality by

2.2 fold and probability of infant death by 3.4 fold

Maternal deathaIRR 2.2p=0.006

Infant deathaIRR = 3.4

p=0.02

Gupta A et al., 2007

715 HIV-infected pregnant women inPune, India

TB incidence 5/100 pt-yr(24 of 715 HIV+ women)

Page 31: TB and gender: some of the evidence Stacie Stender 14 January 2015

Programmatic challenges of TB symptom screening in MNH services

Kenya no routine collection of

data in the monthly summary sheets

TB data summary sheet does not specifically capture referrals from ANC

South Africa Provider bias of

screening women perceived to have a higher risk of TB*

Poor clinical staff moral and motivation*

High rates of extrapulmonary TB  - harder to screen and diagnose*Gounder et al. JAIDS 2011; 57: e77-384

Page 32: TB and gender: some of the evidence Stacie Stender 14 January 2015

Malawi pilot results

Total ANC Attendees 5,474

Women screened for signs/symptoms of TB in ANC

3,920 (71.6%)

Women with signs/symptoms of TB 68 (1.7%)

Women with signs/symptoms of TB diagnosed with TB

4 (5.9%)

Women with signs/symptoms of TB diagnosed with HIV

8 (11.8%)

Number needed to screen to find one case 1369

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Page 33: TB and gender: some of the evidence Stacie Stender 14 January 2015

TB control requires implementation of locally-relevant, evidence-based interventions to address the special issues of both genders (including pregnancy among wwomen) and all ages to maximize effective access to the spectrum of essential services

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