| Literature DB >> 33964932 |
Jenny Iversen1, Salman Ul H Qureshi2, Malika Zafar2, Machteld Busz3, Lisa Maher4.
Abstract
INTRODUCTION: Female sexual partners of men who inject drugs (MWID) living with HIV are at risk of HIV transmission. HIV prevalence estimates among non-drug using female sex partners of MWID are scarce, with no studies documenting HIV incidence. We investigated HIV prevalence and incidence among female spouses of MWID registered at Nai Zindagi Trust (NZT), Pakistan, between 2012 and 2019.Entities:
Keywords: Drug use; HIV prevention; Key and vulnerable populations; Pakistan; Women
Year: 2021 PMID: 33964932 PMCID: PMC8106847 DOI: 10.1186/s12954-021-00497-1
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Fig. 1Creation of HIV-negative cohort using HIV test results of female spouses of male HIV-positive PWID between 2012 and 2018 and definitions of HIV prevalence
HIV prevalence at first HIV test, last HIV test and cumulative HIV incidence among female spouses by province, 2012–2019
| Geographic location | HIV prevalence at first test | Cumulative HIV incidence | HIV prevalence last HIV test |
|---|---|---|---|
| Total | 243/4121 (5.9) | 109/3478 (3.1) | 352/4121 (8.5) |
| Balochistan | 9/41 (22.0) | 1/30 (3.3) | 10/41 (24.4) |
| Khyber Pakhtunkhwa | 12/52 (23.1) | 0/38 (0.0) | 12/52 (23.1) |
| Punjab | 152/2607 (5.8) | 80/2197 (3.6) | 232/2607 (8.9) |
| Sindh | 70/1421 (4.9) | 28/1213 (2.3) | 98/1421 (6.9) |
Cumulative incidence, incidence rate per 100 person years, and unadjusted and adjusted hazard ratios among female spouses of male HIV-positive PWID by demographic characteristics, HIV risk behaviour and knowledge
| Characteristic | Cumulative incidence | Incidence density per 100 person years (95% CI) | Unadjusted hazard ratio (95% CI) | Adjusted hazard ratio (95% CI) | ||
|---|---|---|---|---|---|---|
| Total | 1.5 (1.2–1.8) | |||||
| Sindh | 28/1213 (2.3) | 1.0 (0.7–1.5) | 1.0 (Reference) | – | 1.0 (Reference) | – |
| Punjab | 80/2197 (3.6) | 1.8 (1.4–2.2) | 1.74 (1.13–2.67) | 0.012 | 1.73 (1.13–2.68) | 0.012 |
| Khyber Pakhtunkhwa | 0/38 (0) | – | – | – | – | – |
| Balochistan | 1/30 (3.3) | 1.5 (0.2–10.3) | 1.44 (0.20–10.6) | 0.978 | 0.98 (0.13–7.2) | 0.983 |
| ≥ 36 years | 26/1168 (2.3) | 1.1 (0.7–1.5) | 1.0 (Reference) | – | ||
| 30–35 years | 37/1122 (3.3) | 1.6 (1.2–2.2) | 1.55 (0.94–2.26) | 0.086 | ||
| < 30 years | 46/1188 (3.9) | 1.9 (1.4–2.5) | 1.79 (1.10–2.92) | 0.019 | ||
| 10–17 years | 40/1220 (3.3) | 1.5 (1.1–2.0) | 1.0 (Reference) | – | ||
| 18–20 years | 37/1373 (2.7) | 1.3 (0.9–1.8) | 0.86 (0.55–1.34) | 0.505 | ||
| ≥ 21 years | 32/885 (3.6) | 1.9 (1.3–2.7) | 1.25 (0.79–2.00) | 0.341 | ||
| None | 15/322 (4.7) | 2.5 (1.5–4.2) | 1.0 (Reference) | – | 1.0 (Reference) | – |
| 1–2 children | 41/1273 (3.2) | 1.5 (1.1–2.1) | 0.61 (0.34–1.10) | 0.100 | 0.60 (0.33–1.09) | 0.095 |
| 3–4 children | 36/1214 (3.0) | 1.4 (1.0–2.0) | 0.56 (0.31–1.02) | 0.060 | 0.55 (0.30–1.00) | 0.053 |
| ≥ 5 children | 17/669 (2.5) | 1.1 (0.7–1.8) | 0.45 (0.22–0.90) | 0.024 | 0.44 (0.22–0.88) | 0.022 |
| None | 71/2441 (2.9) | 1.4 (1.1–1.7) | 1.0 (Reference) | – | 1.0 (Reference) | – |
| 1–5 years | 29/516 (5.6) | 2.7 (1.9–3.8) | 1.92 (1.25–2.96) | 0.003 | 1.89 (1.22–2.93) | 0.004 |
| 6–10 years | 7/350 (2.0) | 1.0 (0.5–2.1) | 0.74 (0.34–1.61) | 0.451 | 0.86 (0.39–1.89) | 0.707 |
| High school graduate | 2/171 (1.2) | 0.6 (0.1–2.3) | 0.43 (0.11–1.76) | 0.241 | 0.54 (0.13–2.25) | 0.399 |
| None | 48/1354 (3.6) | 1.7 (1.3–2.2) | 1.0 (Reference) | – | ||
| Textiles | 50/1787 (2.8) | 1.4 (1.0–1.8) | 0.82 (0.55–1.22) | 0.331 | ||
| House main/cleaner | 6/155 (3.9) | 1.6 (0.7–3.6) | 0.98 (0.42–2.30) | 0.967 | ||
| Beautician | 3/41 (7.3) | 3.4 (1.1–10.6) | 2.00 (0.62–6.41) | 0.246 | ||
| Other | 2/141 (1.4) | 0.7 (0.2–2.7) | 0.41 (0.10–1.67) | 0.212 | ||
| No | 93/2915 (3.2) | 1.5 (1.2–1.9) | 1.0 (Reference) | – | ||
| Yes | 16/563 (2.8) | 1.4 (0.8–2.2) | 0.89 (0.52–1.52) | 0.673 | ||
| No | 108/3318 (3.3) | 1.6 (1.3–1.9) | 1.0 (Reference) | – | ||
| Yes | 1/160 (0.6) | 0.3 (0.04–2.0) | 0.18 (0.02–1.27) | 0.086 | ||
| No | 97/2981 (3.3) | 1.6 (1.3–1.9) | 1.0 (Reference) | – | ||
| Yes | 12/497 (2.4) | 1.2 (0.7–2.1) | 0.76 (0.41–1.38 | 0.360 | ||
| No | 108/3463 (3.1) | 1.5 (1.2–1.8) | 1.0 (Reference) | – | ||
| Yes | 1/15 (6.7) | 3.0 (0.4–20.9) | 1.96 (0.27–14.0) | 0.505 | ||
| No | 99/2902 (3.4) | 1.7 (1.4–2.0) | 1.0 (Reference) | – | 1.0 (Reference) | – |
| Yes | 10/576 (1.7) | 0.8 (0.4–1.5) | 0.48 (0.25–0.92) | 0.026 | 0.51 (0.26–0.99) | 0.047 |
| < 4 | 27/1109 (2.4) | 1.4 (0.9–2.0) | 1.0 (Reference) | – | ||
| 5–15 | 36/1113 (3.2) | 1.6 (1.2–2.3) | 1.21 (0.73–1.99) | 0.460 | ||
| > 15 | 46/1256 (3.7) | 1.5 (1.1–2.0) | 1.10 (0.68–1.77) | 0.703 | ||
| No | 82/1704 (4.8) | 2.7 (2.1–3.3) | 1.0 (Reference) | 1.0 (Reference) | – | |
| Yes | 27/1774 (1.5) | 0.6 (0.4–0.9) | 0.24 (0.15–0.37) | < 0.001 | 0.25 (0.16–0.38) | < 0.001 |
STI Sexually transmissible infection, HIV Human immunodeficiency virus, ART antiretroviral therapy
aAt baseline
bPrior to censorship
Fig. 2Kaplan–Meier survival graphs by Province (log-rank-test, p = 0.011). Note: Kaplan-Meier graph showing HIV incident infection among spouses of HIV positive men who inject drugs in Sindh and Punjab. Khyber Pakhtunkhwa and Balochistan not shown due to small sample size