| Literature DB >> 26475265 |
Sarah Nakubulwa1, Dan K Kaye2, Freddie Bwanga3, Nazarius Mbona Tumwesigye4, Florence M Mirembe5.
Abstract
BACKGROUND: Inflammatory mediators that weaken and cause membrane rupture are released during the course of genital infections among pregnant women. We set out to determine the association of common genital infections (Trichomonas vaginalis, syphilis, Neisseria gonorrhea, Chlamydia trachomatis, Group B Streptococcus, Bacterial vaginosis, Herpes Simplex Virus Type 2 and candidiasis) and premature rupture of membranes in Mulago hospital, Uganda.Entities:
Mesh:
Year: 2015 PMID: 26475265 PMCID: PMC4608222 DOI: 10.1186/s13104-015-1545-6
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Baseline characteristics of cases (PROM) & controls (NO PROM) in Mulago Hospital, Uganda
| Variable | Cases (PROM) | Controls (No PROM) | P value |
|---|---|---|---|
| Religion | |||
| Catholic | 30 (36.0) | 32 (37.0) | 0.071 |
| Muslim | 27 (32.0) | 20 (23.0) | |
| Protestant | 24 (29.0) | 12 (12.0) | |
| Born again | 3 (4.0) | 23 (26.0) | |
| Marital status | |||
| Single | 9 (10.0) | 7 (8.0) | 0.680 |
| Married/cohabiting | 76 (87.0) | 66 (75.0) | |
| Divorce/separated | 2 (3.0) | 14 (17.0) | |
| Age | |||
| <19.99 | 10 (11.4) | 9 (10.3) | 0.290 |
| 20–34.99 | 73 (84.0) | 69 (79.4) | |
| ≥35 | 4 (4.6) | 9 (10.3) | |
| Gravidity | |||
| Primegravida | 31 (35.6) | 31 (35.6) | 1.000 |
| Gravida 2–4 | 47 (54.1) | 48 (55.2) | |
| Gravida 5 & above | 9 (10.3) | 8 (9.2) | |
| Education | |||
| Primary and below | 27 (31.0) | 30 (34.0) | 0.680 |
| Secondary and tertiary | 60 (69.0) | 57 (66.0) | |
| Occupation | |||
| House wife | 31 (35.6) | 33 (38.0) | 0.200 |
| Employed/business woman | 34 (39.1) | 33 (37.0) | |
| Othersa | 22 (25.3) | 21 (25.0) | |
The table shows that the distribution of age, gravidity, education level, marital status, occupation and religion of 87 cases and 87 controls was similar
aThis includes those unemployed and students
Bivariate analysis for genital symptoms and infections among cases (had PROM) and controls (without PROM)
| Variable | Cases | Controls | P value | OR (95 % CI) |
|---|---|---|---|---|
| Abnormal vaginal discharge | ||||
| Yes | 47 (54.0) | 32 (36.8) |
|
|
| No | 40 (46.0) | 55 (63.2) | ||
| Painful genital ulcer history | ||||
| Yes | 9 (10.3) | 3 (3.4) | 0.087 | 3.23 (0.84–12.37) |
| No | 78 (89.7) | 84 (56.6) | ||
| HSV-2 serology | ||||
| Positive | 49 (56.0) | 46 (53.0) | 0.648 | 1.15 (0.63–2.09) |
| Negative | 38 (44.0) | 41 (56.6) | ||
| HSV-2 ELISA optical densities | ||||
| >3.4 (high positives) | 32 (37.0) | 19 (22.0) |
|
|
| ≤3.4 (negative or low positive) | 55 (63.0) | 68 (78.0) | ||
| HIV status | ||||
| Positive | 12 (13.8) | 12 (13.8) | 0.098 | 0.99 (0.42–2.34) |
| Negative | 75 (86.2) | 75 (86.2) | ||
| Candida | ||||
| Positive | 18 (20.7) | 43 (49.4) |
|
|
| Negative | 69 (79.3) | 44 (50.6) | ||
|
| ||||
| Positive | 18 (20.7) | 7 (8.0) |
|
|
| Negative | 69 (79.3) | 80 (92.0) | ||
| Bacterial vaginosis | ||||
| Positive | 0 (0.0) | 2 (2.3) | a | |
| Negative | 87 (100.0) | 85 (97.7) | ||
|
| ||||
| Positive | 0 (0.0) | 1 (1.1) | a | |
| Negative | 87 (100.0) | 86 (98.9) | ||
|
| ||||
| Positive | 4 (4.6) | 2 (2.3) | 0.415 | 2.05 (0.37–11.49) |
| Negative | 83 (95.4) | 85 (97.7) | ||
| Syphilis | ||||
| Positive | 0 (0.0) | 0 (0.0) | a | |
| Negative | 100 (100.0) | 100 (100.0) | ||
We assessed the association between PROM and: abnormal vaginal discharge, history of painful genital ulcer, candidiasis, Trichomonas vaginalis, preterm labour, HSV-2 serostatus, HSV-2 titres, HIV, bacterial vaginosis, Neisseria gonorrhoea, Group B streptococcus and with syphilis. The italicized odds ratios had a significant association with PROM (abnormal vaginal discharge, candidiasis, Trichomonas vaginalis, and preterm labour and HSV-2 titres)
aMeans no further analysis was done for these variables due to few numbers
Genital infections and risk for PROM in Mulago Hospital
| Variable | Unadjusted odds ratio (95 % CI) | Adjusted odds ratio (95 %) in model 1 | Adjusted odds ratio (95 %) in model 2a | Adjusted odds ratio (95 %) in model 3b |
|---|---|---|---|---|
| Abnormal vaginal discharge | ||||
| Yes |
|
|
|
|
| No | ||||
| HIV status | ||||
| Positive | 0.99 (0.42–2.34) | 1.38 (0.51–3.75) | 1.30 (0.51–3.72) | 1.38 (0.51–3.75) |
| Negative | ||||
|
| ||||
| Positive |
|
| 3.70 (0.92–14.90) | |
| Negative | ||||
|
| ||||
| Positive | 2.05 (0.37–11.49) | 1.91 (0.30–12.22) | 1.92 (0.30–12.20) | |
| Negative | ||||
| Candida | ||||
| Positive |
|
| 0.16 (0.02–1.22) |
|
| Negative | ||||
| HSV-2 | ||||
| Positive | 1.15 (0.63–2.09) | 0.95 (0.48–1.88) | 0.94 (0.48–1.87) | 0.95 (0.48–1.88) |
| Negative | ||||
| Trichomonas and candida |
| 1.34 (0.16–11.10) | 1.34 (0.16–11.10) | |
| Trichomonas and Chlamydia |
|
| ||
In this table we have three models after multivariable analysis. Model 1 included abnormal vaginal discharge, HIV status Trichomonas vaginalis, Chlamydia trachomatis, candidiasis and HSV-2 serostatus. The italicized odds ratios were either independent risk factors for PROM (abnormal vaginal discharge and Trichomonas) or protective factors (candidiasis). Model 2 is included to assess whether co-infection with Trichomoniasis and candidiasis was a risk factor for premature rupture of membranes and found that this interaction was not a risk factor for PROM at multivariable analysis. Model 3 is included to assess whether co-infection with Trichomonas vaginalis and Chlamydia trachomatis was associated with PROM and it is shown that this interaction is a risk factor for PROM
aThe model 2 assesses interactions between Trichomonas vaginalis and candidiasis
bThe model 3 assesses interaction between Trichomonas vaginalis and Chlamydia trachomatis