| Literature DB >> 27313620 |
Abdul Namugongo1, Joel Bazira2, Yarine Fajardot1, Ngonzi Joseph1.
Abstract
Objectives. This study sought to determine the prevalence and factors associated with group B streptococcal anogenital colonization among pregnant women attending antenatal care at Mbarara Regional Referral Hospital, a tertiary hospital. Methods. Cross-sectional study where 309 pregnant women ≥ thirty-five weeks of gestation attending antenatal clinic were consecutively recruited between January and March 2015. Anovaginal swabs were collected and tested qualitatively using rapid visual immunoassay GBS test kits for presence of GBS antigens. Data was analyzed using STATA version 12. In univariate analysis, GBS colonized mothers were presented as percentages and numbers, and in multivariate analysis logistic regression analysis was applied to determine the associations of exposure variable and GBS colonization; a value of less than 0.05 was considered significant. Results. Mothers' median age was 25 years, 14.6% mothers being obese. GBS prevalence was 28.8%, 95% CI: 23.7-33.9. Obesity was the only significant factor associated with anogenital GBS colonization with odds ratio of 3.78, 95% CI: 1.78-8.35, a p value of 0.001. Maternal ages, educational level, residence, and gravidity were not associated with GBS anogenital colonization. Conclusion. Group B streptococcal anogenital colonization among pregnant women attending antenatal care at tertiary hospital, in Southwestern Uganda, is high.Entities:
Year: 2016 PMID: 27313620 PMCID: PMC4893442 DOI: 10.1155/2016/3816184
Source DB: PubMed Journal: Int J Microbiol
Participants' sociodemographic characteristics.
| Variable | Number (%) |
|---|---|
|
| |
| <21 | 61 (19.7) |
| 21–25 | 124 (40.1) |
| 26–30 | 82 (26.5) |
| 31–35 | 23 (7.4) |
| >35 | 19 (6.2) |
|
| |
| No education | 8 (2.6) |
| Primary | 106 (34.3) |
| Secondary | 120 (38.8) |
| Tertiary | 75 (24.3) |
|
| |
| Rural | 99 (32) |
| Urban | 210 (68) |
|
| |
| Married | 286 (92.6) |
| Not married | 23 (7.4) |
|
| |
| Banyankore | 233 (75.4) |
| Bakiga | 30 (9.7) |
| Baganda | 38 (12.3) |
| Others | 8 (2.6) |
|
| |
| 18.5–24.9 | 107 (34.6) |
| 25–29.9 | 157 (50.8) |
| ≥30 | 45 (14.6) |
|
| |
| No employment | 71 (23.0) |
| Peasant farmer | 72 (23.3) |
| Professional | 33 (10.7) |
| Self-employed | 121 (39.2) |
| Casual labor | 12 (3.9) |
|
| |
| Positive | 23 (7.4) |
| Negative | 286 (92.6) |
|
| |
| Muslim | 42 (13.6) |
| Catholic | 105 (34.0) |
| Protestant | 126 (40.8) |
| Born again | 32 (10.4) |
| Others | 4 (1.3) |
Figure 1GBS anogenital colonization.
Participants' obstetric and clinical characteristics.
| Variable |
| GBS positive = 89 | GBS negative = 220 |
|---|---|---|---|
|
| |||
| Primipara | 115 (37.2) | 26 (29.2) | 89 (40.5) |
| Multipara | 155 (50.2) | 50 (56.2) | 105 (47.7) |
| Grand multipara | 39 (12.6) | 13 (14.6) | 26 (11.8) |
|
| |||
| Prelabor rupture of membranes | 14 (4.5) | 3 (3.4) | 11 (5) |
| Fever during labor | 38 (12.3) | 10 (11.2) | 28 (12.7) |
| Perineal tear | 45 (14.6) | 19 (21.3) | 26 (11.8) |
| Preterm birth | 12 (3.9) | 3 (3.3) | 9 (4.1) |
| Stillbirth | 24 (7.8) | 4 (4.5) | 20 (9.1) |
| Early neonatal death | 11 (3.6) | 1 (1.1) | 10 (4.5) |
| Abortion | 38 (12.8) | 10 (11.2) | 28 (12.7) |
| Ectopic | 5 (1.6) | 0 (0) | 5 (2.3) |
|
| |||
| WOA | |||
| 35–37.6 | 168 (54.4) | 48 (53.9) | 120 (54.5) |
| 38–40.6 | 114 (36.9) | 36 (40.4) | 78 (35.5) |
| ≥41 | 27 (8.7) | 5 (5.6) | 22 (10) |
| LAP | 116 (37.5) | 30 (33.7) | 86 (39.1) |
| Herbal medicine use | 240 (77.7) | 71 (79.8) | 160 (72.7) |
| Dysuria | 109 (35.3) | 17 (19.1) | 48 (21.8) |
| Abnormal pervaginal discharge | 92 (29.8) | 26 (21.2) | 66 (30) |
| Herbal administration | |||
| Vaginal | 27 (8.7) | 6 (6.7) | 21 (9.5) |
| Oral | 214 (69.3) | 66 (74.1) | 148 (67.2) |
Association between GBS colonization status and potential sociodemographic factors.
| Bivariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|
| Variable | GBS positive = 89 | GBS negative = 220 | COR 95% CI |
| COR 95% CI |
|
| Age group (years) | 0.003 | |||||
| <21 | 13 | 47 | 1 | |||
| 21–25 | 26 | 99 | 0.95 (0.45–2.01) | 0.8 (0.37–1.73) | 0.57 | |
| 26–30 | 31 | 51 | 2.19 (1.03–4.69) | 1.81 (0.82–4.00) | 0.14 | |
| 31–35 | 8 | 15 | 1.93 (0.67–5.54) | 1.15 (0.36–3.69) | 0.81 | |
| >35 | 8 | 11 | 4.97 (1.66–14.91) | 2.39 (0.69–8.17) | 0.17 | |
| Education level | 0.65 | |||||
| No education | 3 | 5 | 1 | |||
| Primary | 26 | 80 | 0.54 (0.12–2.42) | |||
| Secondary | 36 | 84 | 0.71 (0.16–3.14) | |||
| Tertiary | 24 | 51 | 0.78 (0.17–3.45) | |||
| Residence type | 0.04 | |||||
| Rural | 21 | 78 | 1 | |||
| Urban | 68 | 142 | 1.78 (1.01–3.12) | 1.60 (0.88–2.9) | 0.12 | |
| Marital status | 0.76 | |||||
| Not married | 6 | 17 | 1 | |||
| Married | 83 | 203 | 1.16 (0.44–3.04) | |||
| Tribe | ||||||
| Others | 4 | 4 | 1 | 0.48 | ||
| Banyankore | 63 | 170 | 0.37 | |||
| Bakiga | 9 | 21 | 0.43 | |||
| Baganda | 13 | 25 | 0.52 | |||
| BMI | 0.0000 | |||||
| 18.5–24.9 | 24 | 84 | 1 | |||
| 25–29.9 | 37 | 117 | 1.06 (0.59–1.89) | 1.05 (0.58–1.9) | 0.87 | |
| ≥30 | 27 | 19 | 4.77 (2.28–9.98) | 3.78 (1.78–8.35) | 0.001 | |
| Occupation | 0.74 | |||||
| No employment | 18 | 53 | 1 | |||
| Peasant farmer | 19 | 53 | 1.06 (0.–2.2) | |||
| Professional | 9 | 24 | 1.1 (0.43–2.8) | |||
| Self-employed | 38 | 83 | 1.34 (0.7–2.6) | |||
| Casual labor | 5 | 7 | 2.1 (0.59–7.4) | |||
| HIV serostatus | 0.12 | |||||
| Positive | 10 | 13 | 1 | |||
| Negative | 79 | 207 | 2.02 (0.85–4.78) | |||
| Religion | 0.32 | |||||
| Others | 1 | 3 | 1 | |||
| Muslim | 17 | 25 | 2.04 (0.2–21.3) | |||
| Catholic | 24 | 81 | 0.89 (0.9–8.9) | |||
| Protestant | 38 | 88 | 1.3 (0.13–12.86) | |||
| Born again | 9 | 2 | 1.17 (0.11–12.82) | |||
Association between GBS colonization status and potential obstetric risk factors.
| Bivariate analysis | Multivariate analysis | |||||
|---|---|---|---|---|---|---|
| Variable | GBS positive = 89 | GBS negative = 220 | COR 95% CI |
| COR 95% CI |
|
|
| ||||||
| Primigravida | 26 (29.2) | 89 (40.5) | 1 | 0.17 | ||
| Multigravida | 50 (56.2) | 105 (47.7) | 1.63 (0.94–2.83) | |||
| Grand multigravida | 13 (14.6) | 26 (11.8) | 1.71 (0.77–3.79) | |||
|
| ||||||
| Prelabor ROM | 3 (3.4) | 11 (5) | 0.66 (0.18–2.43) | 0.54 | ||
| Perineal tear | 19 (21.3) | 26 (11.8) | 2.03 (1.06–3.88) | 0.03 | 1.46 (0.66–3.21) | 0.35 |
| Preterm birth | 3 (3.3) | 9 (4.1) | 0.82 (0.22–3.09) | 0.77 | ||
| Stillbirth | 4 (4.5) | 20 (9.1) | 0.47 (0.16–1.42) | 0.18 | ||
| Early neonatal death | 1 (1.1) | 10 (4.5) | 0.99 (0.37–2.63) | 0.98 | ||
| Abortion | 10 (11.2) | 28 (12.7) | 0.87 (0.40–1.87) | 0.72 | ||
| Ectopic | 0 (0) | 5 (2.3) | — | — | ||
|
| ||||||
| WOA | 0.36 | |||||
| 35–37.6 | 48 (53.9) | 120 (54.5) | 1 | |||
| 38–40.6 | 36 (40.4) | 78 (35.5) | 1.18 (0.70–1.98) | |||
| ≥41 | 5 (5.6) | 22 (10) | 0.57 (0.21–1.59) | |||
| LAP | 30 (33.7) | 86 (39.1) | 0.79 (0.48–1.33) | 0.38 | ||
| Herbal medicine use | 71 (79.8) | 160 (72.7) | 1.19 (0.65–2.18) | 0.57 | ||