The burden of imported malaria in Gauteng Province

OBJECTIVES: To describe the burden of malaria in Gauteng Province, and to identify potential risk factors for severe disease. DESIGN: We conducted a prospective survey of malaria cases diagnosed in hospitals throughout Gauteng from December 2005 to end November 2006. OUTCOME MEASURES: Malaria frequency, severity, and treatment. Results. We identified 1 701 malaria cases; 1 548 (91%) were seen at public sector hospitals and 153 (9%) at private hospitals; 1 149 (68%) patients were male. Median age was 27 years (range 1 month - 89 years). Most (84%) infections were acquired in Mozambique. Disease severity did not differ by age or sex. Patients who were South African-born were more likely to have severe disease (OR=1.43 (1.08 - 1.91)), as were patients who experienced a delay >48 hours between onset of symptoms and diagnosis or treatment (OR=1.98 (1.48 - 2.65)). While most patients appropriately received quinine, only 9% of severe malaria cases received the recommended loading dose. CONCLUSIONS: The incidence of malaria in Gauteng was higher than previously reported, emphasising the need to prevent malaria in travellers by correct use of non-drug measures and, when indicated, malaria chemoprophylaxis. Disease severity was increased by delays between onset and treatment and lack of partial immunity. Providers should consult the latest guidelines for treatment of malaria in South Africa, particularly about treatment of severe malaria. A change in drug policy to artemisinin combination therapy for imported uncomplicated malaria in non-malaria risk provinces should be strongly considered

Safety and immunogenicity of two Haemophilus influenzae type b conjugate vaccines

Objectives. Haemophilus influenzae type b (Hib) infection remains a major public health problem inthe developing world. We evaluated the safety and immunogenicity of a new PRP-CRM197 conjugate Hib vaccine (Vaxem Hib, Chiron Vacdnes), compared with theHibTITER vaccine (WyethLederle Vaccines), following the World Health Organisation (WHO)'s accelerated schedule which allows 4-week intervals between doses.Study design. A phase II, observer-blind, multicentre, randomised, controlled, non-inferiority study.Methods. In total, 331 babies were immunised with either Vaxem Hib (N = 167) or HibTITER (N = 164) vaccine at 6, 10 and 14 weeks of age, in parallel with oral polio, diphtheriatetanus- pertussis and hepatitis B vaccines. Postimmunisation reactions were recorded after each immunisation and arfollow-up visits. Anti-polyribosylribitol phosphate (PRP) antibodies were measured using enzyme-linked immunosorbent assays (ELISAs) before and 1 month after the third immunisation. Results. Overall, there was no significant difference in the anti-PRP levels between the two groups .. One month after the third immunisation, 76% of vacdnees in the Vaxem Hib group and 70% in the HibTITER group hadanti-PRP antibody mres i:: 1.0 vg/ tnl, while 96% of the Vaxem l-Iib group and.90% of the HibTITER gn;mp d.e!l}onstrated a),lt1- PRP antibody titres;:: 0.15 vg/ml. The geometric me<t:ntitre at day 90 was 3.77 pg/ml for the VaxemHib and 3.0 Jlg/Inl for the HibTITER groups. Although the Vaxem Hib vaccine produced more redness (6% versus 1 %; p = 0.006) and swelling (5% versus 1%, p = 0.037), overall it was well tolerated compared with the B:ibTITER vaccine. There wa~ no significant difference in vaccine-relateq elevated temperature (;:: 38°(:) between the two groups (p = 0. 11), Conclusion. Both vaccines showed comparable safety llJ:\d immunogenicity profiles when administered to SouthAfrican babies at 6, 10 and 14weeks of age

The burden of imported malaria in Gauteng Province

OBJECTIVES: To describe the burden of malaria in Gauteng Province, and to identify potential risk factors for severe disease. DESIGN: We conducted a prospective survey of malaria cases diagnosed in hospitals throughout Gauteng from December 2005 to end November 2006. OUTCOME MEASURES: Malaria frequency, severity, and treatment. RESULTS: We identified 1 701 malaria cases; 1 548 (91%) were seen at public sector hospitals and 153 (9%) at private hospitals; 1 149 (68%) patients were male. Median age was 27 years (range 1 month - 89 years). Most (84%) infections were presumed to be acquired in Mozambique. Disease severity did not differ by age or sex. Patients who were South African born were more likely to have severe disease (OR=1.43 (1.08 - 1.91)), as were patients who experienced a delay >48 hours between onset of symptoms and diagnosis or treatment (OR=1.98 (1.48 - 2.65)). While most patients appropriately received quinine, only 9% of severe malaria cases received the recommended loading dose. CONCLUSIONS: The incidence of malaria in Gauteng was higher than previously reported, emphasising the need to prevent malaria in travellers by correct use of non-drug measures and, when indicated, malaria chemoprophylaxis. Disease severity was increased by delays between onset and treatment and lack of partial immunity. Providers should consult the latest guidelines for treatment of malaria in South Africa, particularly about treatment of severe malaria. A change in drug policy to artemisinin combination therapy for imported uncomplicated malaria in non-malaria risk provinces should be strongly considered

Predictors of risk of alcohol-exposed pregnancies among women in an urban and a rural area of South Africa

The study sought to determine the prevalence and predictors of being at risk of an alcohol-exposed pregnancy (AEP) among women of child-bearing age in an urban and rural location in South Africa. We conducted a cross-sectional household survey of 1018 women aged 18–44 years in one urban (n ¼ 606) and one rural (n ¼ 412) site. The women were interviewed using a structured questionnaire. We defined the primary dependent variable, being at risk of having an AEP, as current alcohol use, not being pregnant, being fertile, and no effective use of contraceptives. The independent variables included demographic, substance use, health perceptions, psycho-social, and partner characteristics. The rural women (21.84%) were more likely than their urban counterparts (11.22%) to be at risk of an AEP. In multiple logistic regression analyses, significant predictors of being in the ‘‘at risk’’ group for the urban women were (a) being ‘white’ as opposed to ‘black/African’, and being ‘coloured’ as opposed to ‘black/African’; and (b) current smoking. For the rural women, significant risk factors were (a) current smoking and (b) early onset of alcohol use. The significant protective factors were (a) education; (b) knowledge about Fetal Alcohol Syndrome; (c) parity. Use of stricter alcohol use criteria (i.e., three or more drinks and five or more drinks per sitting) in the definition of risk of an AEP yielded slightly different patterns of significant predictors. The results revealed high levels of risk of an alcohol-exposed pregnancy, especially amongst the rural women, and a need for location-specific prevention programmes. The high burden of AEP in South Africa calls for the establishment of national AEP prevention strategies and programmes as a matter of urgency

Predictors of risk of alcohol-exposed pregnancies among women in an urban and a rural area of South Africa

The study sought to determine the prevalence and predictors of being at risk of an alcohol-exposed pregnancy (AEP) among women of child-bearing age in an urban and rural location in South Africa. We conducted a cross-sectional household survey of 1018 women aged 18-44 years in one urban (n = 606) and one rural (n = 412) site. The women were interviewed using a structured questionnaire. We defined the primary dependent variable, being at risk of having an AEP, as current alcohol use, not being pregnant, being fertile, and no effective use of contraceptives. The independent variables included demographic, substance use, health perceptions, psycho-social, and partner characteristics. The rural women (21.84%) were more likely than their urban counterparts (11.22%) to be at risk of an AEP. In multiple logistic regression analyses, significant predictors of being in the "at risk" group for the urban women were (a) being 'white' as opposed to 'black/African', and being 'coloured' as opposed to 'black/African'; and (b) current smoking. For the rural women, significant risk factors were (a) current smoking and (b) early onset of alcohol use. The significant protective factors were (a) education; (b) knowledge about Fetal Alcohol Syndrome; (c) parity. Use of stricter alcohol use criteria (i.e., three or more drinks and five or more drinks per sitting) in the definition of risk of an AEP yielded slightly different patterns of significant predictors. The results revealed high levels of risk of an alcohol-exposed pregnancy, especially amongst the rural women, and a need for location-specific prevention programmes. The high burden of AEP in South Africa calls for the establishment of national AEP prevention strategies and programmes as a matter of urgency.South Africa Fetal Alcohol Syndrome Alcohol-exposed pregnancy Alcohol consumption Contraception Women

Predictors of risk of alcohol-exposed pregnancies among women in an urban and a rural area of South Africa

The study sought to determine the prevalence and predictors of being at risk of an alcohol-exposed pregnancy (AEP) among women of child-bearing age in an urban and rural location in South Africa. We conducted a cross-sectional household survey of 1018 women aged 18–44 years in one urban (n ¼ 606) and one rural (n ¼ 412) site. The women were interviewed using a structured questionnaire. We defined the primary dependent variable, being at risk of having an AEP, as current alcohol use, not being pregnant, being fertile, and no effective use of contraceptives. The independent variables included demographic, substance use, health perceptions, psycho-social, and partner characteristics. The rural women (21.84%) were more likely than their urban counterparts (11.22%) to be at risk of an AEP. In multiple logistic regression analyses, significant predictors of being in the ‘‘at risk’’ group for the urban women were (a) being ‘white’ as opposed to ‘black/African’, and being ‘coloured’ as opposed to ‘black/African’; and (b) current smoking. For the rural women, significant risk factors were (a) current smoking and (b) early onset of alcohol use. The significant protective factors were (a) education; (b) knowledge about Fetal Alcohol Syndrome; (c) parity. Use of stricter alcohol use criteria (i.e., three or more drinks and five or more drinks per sitting) in the definition of risk of an AEP yielded slightly different patterns of significant predictors. The results revealed high levels of risk of an alcohol-exposed pregnancy, especially amongst the rural women, and a need for location-specific prevention programmes. The high burden of AEP in South Africa calls for the establishment of national AEP prevention strategies and programmes as a matter of urgency