| Literature DB >> 32183728 |
Yannick Lechedem Ngunyi1,2, Gregory Halle-Ekane3,4, Nicholas Tendongfor3, Etheldreda Leinyuy Mbivnjo5, Armel Evouna Mbarga6, Derick Nembulefack3, Clifford Abonge Lo-Oh3, Thomas Obinchemti Egbe3,4.
Abstract
BACKGROUND: Postpartum febrile morbidity is relatively common, occurring in approximately 5-7% of births. Differentiating between potentially serious and benign causes of postpartum pyrexia (PP) is fundamental in curbing the mortality rate from sinister causes such as sepsis. The paucity of data on PP in Cameroon makes it difficult to access its actual burden. This study was aimed at determining the prevalence, risk factors and aetiologies of PP at a tertiary hospital in Douala, Cameroon.Entities:
Keywords: Aetiologies; Cameroon; Douala general hospital; Postpartum pyrexia; Prevalence; Risk factors
Mesh:
Year: 2020 PMID: 32183728 PMCID: PMC7079534 DOI: 10.1186/s12884-020-02867-2
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Sociodemographic characteristics of Study Population
| Variable | Frequency | Percentage (%) |
|---|---|---|
| 20–34 years | 1262 | 83 |
| ≥ 35 | 258 | 17.0 |
| Single | 441 | 29.0 |
| Married | 1079 | 71.0 |
| Primary (primary school only) | 145 | 9.5 |
| Secondary (at most secondary and/or high school) | 411 | 27.1 |
| Tertiary (at least undergraduate level) | 964 | 63.4 |
| Primipara | 238 | 15.7 |
| Multipara (2 to 4 births) | 1010 | 66.5 |
| Grand Multipara (5 or more births) | 272 | 17.9 |
Risk factors of postpartum pyrexia (Multivariate analysis)
| Factors | AOR | Confidence Interval (95%) | |||
|---|---|---|---|---|---|
| 0.131 | 1.683 | 0.856–3.311 | |||
| 1 | |||||
| 3.878 | 1.149–13.120 | ||||
| 0.135 | 2.350 | 0.986–4.657 | |||
| 1 | |||||
| 0.356 | 1.678 | 0.564–2.463 | |||
| 1 | |||||
| 5.710 | 2.401–13.583 | ||||
| 1 | |||||
| 2.379 | 1.321–6.975 | ||||
| 0.067 | 0.079 | 0.213–1.875 | |||
| 1 | |||||
| 23.960 | 9.081–63.218 | ||||
| 0.997 | 0.073 | 0.033–0.161 | |||
| 1 | |||||
| 1 | |||||
| 26.760 | 7.100–100.862 | ||||
| 1 | |||||
| 59.151 | 21.463–163.019 | ||||
| 1 | |||||
| 0.977 | 0.210 | 0.098–0.448 | |||
| 1.142 | 0.001–8977.799 | ||||
| 45.157 | 2.266–899.722 | ||||
| 1 | |||||
AOR Adjusted odd ratios, VE vaginal examination, ANC antenatal clinic
Fig. 1Aetiologies of postpartum pyrexia in Douala general hospital
Aetiologies of PP in relation to day of onset postpartum, DGH 2017–2018, Cameroon
| Causes | Day of Onset of Postpartum | ||
|---|---|---|---|
| Day 1 to 3 | Day 4 to 6 | Day 7 to 10 | |
| Malaria | 66 | 4 | 0 |
| UTI (pyelonephritis) | 23 | 5 | 0 |
| Pneumonia | 7 | 6 | 0 |
| Endometritis | 5 | 2 | 13 |
| Acute appendicitis | 2 | 0 | 0 |
| CS wound infection | 2 | 2 | 0 |
| Typhoid fever | 2 | 0 | 0 |
| Vaginal candidiasis | 2 | 0 | 0 |
| Bacterial vaginosis | 1 | 0 | 0 |
| Perineal wound infection | 0 | 2 | 3 |
| Venous thromboembolism | 0 | 0 | 2 |
Isolated organisms of cultured specimens, DGH 2017–2018, Cameroon
| Specimen | Frequency | Percentage | Isolated organisms |
|---|---|---|---|
| High vaginal swab | 26 | 29.2 | |
| Sputum | 3 | 3.4 | |
| Urine | 50 | 56.2 | |
| Wound swab | 7 | 7.8 | |
| Blood | 3 | 3.4 | |
| 10 |
Results of patients with positive cultures, DGH 2017–2018, Cameroon
| Organism | Number | Percentage |
|---|---|---|
| 34 | 49.3 | |
| 6 | 8.7 | |
| 6 | 8.7 | |
| 5 | 7.2 | |
| 4 | 5.8 | |
| 4 | 5.8 | |
| 2 | 2.9 | |
| 2 | 2.9 | |
| 2 | 2.9 | |
| 2 | 2.9 | |
| 2 | 2.9 | |