HIV-1 and HIV-2 prevalence, risk factors and birth outcomes among pregnant women in Bissau, Guinea-Bissau: a retrospective cross-sectional hospital study.
Dlama Nggida RasmussenNoel VieiraBo Langhoff HøngeDavid da Silva TéSanne JespersenMorten Bjerregaard-AndersenInés OliveiraAlcino FurtadoMagarida Alfredo GomesMorten SodemannChristian WejseHolger Werner UngerPublished in: Scientific reports (2020)
The human immunodeficiency virus (HIV) remains a leading cause of maternal morbidity and mortality in Sub-Saharan Africa. Prevention of mother-to-child transmission (PMTCT) has proven an effective strategy to end paediatric infections and ensure HIV-infected mothers access treatment. Based on cross-sectional data collected from June 2008 to May 2013, we assessed changes in HIV prevalence, risk factors for HIV, provision of PMTCT antiretroviral treatment (ART), and the association between HIV infection, birth outcomes and maternal characteristics at the Simão Mendes National Hospital, Guinea-Bissau's largest maternity ward. Among 24,107 women, the HIV prevalence was 3.3% for HIV-1, 0.8% for HIV-2 and 0.9% for HIV-1/2. A significant decline in HIV-1, HIV-2, and HIV-1/2 prevalence was observed over time. HIV infection was associated with age and ethnicity. A total of 85% of HIV-infected women received ART as part of PMTCT, yet overall treatment coverage during labour and delivery declined significantly for both mothers and infants. Twenty-two percent of infants did not receive treatment, and 67% of HIV-2-infected mothers and 77% of their infants received ineffective non-nucleoside reverse transcriptase inhibitors for PMTCT. Maternal HIV was associated with low birth weight but not stillbirth. Inadequate continuity of care and ART coverage present challenges to optimal PMTCT in Guinea-Bissau.
Keyphrases
- hiv infected
- antiretroviral therapy
- human immunodeficiency virus
- hiv positive
- hiv aids
- hiv infected patients
- hepatitis c virus
- hiv testing
- risk factors
- cross sectional
- men who have sex with men
- healthcare
- emergency department
- intensive care unit
- machine learning
- palliative care
- pregnancy outcomes
- south africa
- preterm infants
- adipose tissue
- low birth weight
- weight loss
- big data
- skeletal muscle