| Literature DB >> 30314489 |
Guillermo Martínez-Pérez1,2, Dawoh Peter Lansana3, Senga Omeonga3, Himanshu Gupta4, Bondey Breeze-Barry3, Raquel González4, Azucena Bardají4, Adelaida Sarukhan4, James D K Goteh5, Edith Tody3, Pau Cisteró4, Benard Benda3, Juwe D Kercula5, Fanta D Kibungu3, Ana Meyer García-Sípido6, Quique Bassat4,7,8,9, Christine K Tarr-Attia3, Alfredo Mayor4,7.
Abstract
BACKGROUND: Disruption of malaria control strategies during the West African 2014-2016 Ebola epidemic led to an increase in malaria-attributable mortality. However, recent data on malaria infection in vulnerable groups, such as pregnant women, are lacking in this post-Ebola scenario. This cross-sectional study aimed to assess the prevalence of Plasmodium falciparum infection and of molecular markers of drug resistance among pregnant women attending antenatal care in Monrovia, capital of Liberia.Entities:
Keywords: Antenatal; Liberia; Malaria; Parasite resistance; Pregnancy; Prevalence
Mesh:
Substances:
Year: 2018 PMID: 30314489 PMCID: PMC6186138 DOI: 10.1186/s12936-018-2506-z
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Clinical and socio-demographic profile of study women
| Variables | |
|---|---|
| Age (in years) range ( | |
| ≤ 17 | 7 (3.7%) |
| 18–25 | 65 (34.0%) |
| 26–35 | 92 (48.2%) |
| ≥ 36 | 27 (14.1%) |
| Mean (SD) | 27.3 (6.10) |
| Anaemia ( | |
| Normal range (≥ 11 mg/dL) | 113 (58.5%) |
| Anaemia (< 11 mg/dL) | 80 (41.5%) |
| Mean haemoglobin levels (SD) | 11.2 (1.42) |
| Gravidity ( | |
| Primigravidae | 141 (27.3%) |
| Multigravidae | 53 (72.7%) |
| Gestational age ( | |
| Mean (SD) | 17.7 (7.14) |
| Fever ( | |
| No | 182 (96.8%) |
| Yes, ≥ 38 °C at point of enrolment | 6 (3.2%) |
| Anti-malarial use ( | |
| Not in the current pregnancy | 140 (71.8%) |
| Yes in the current pregnancy | 55 (28.2%) |
| Tuberculosis ( | |
| Not on TB treatment | 193 (99.0%) |
| Self-reported on TB treatment | 2 (1.0%) |
| HIV ( | |
| Confirmed negative test | 162 (97.0%) |
| Confirmed positive test | 5 (3.0%) |
| Syphilis ( | |
| Confirmed negative test | 159 (99.4%) |
| Confirmed positive test | 1 (0.6%) |
| ITN ( | |
| Did not use an ITN the preceding night | 139 (71.3%) |
| Slept under an ITN the preceding night | 56 (28.7%) |
| Education completed ( | |
| None | 25 (14.6%) |
| Primary | 24 (14.0%) |
| Secondary | 97 (56.7%) |
| Tertiary/college | 1 (0.6%) |
| University | 17 (9.9%) |
| Current occupation ( | |
| Professional/technological | 12 (7.0%) |
| Sales/services: self-employed | 62 (36.3%) |
| Sales/services: salaried | 12 (7.0%) |
| Skilled/unskilled manual | 14 (8.2%) |
| Clerical | 4 (2.3%) |
| Student (no other paid occupation) | 43 (25.2%) |
| Unemployed | 23 (13.5%) |
n number of participants
Health-related data and laboratory examinations
| Variables | Uninfected ( | p | |
|---|---|---|---|
| Age ( | |||
| Mean (SD) | 27.6 (SD 5.88) | 24.9 (7.19) | 0.045b |
| Anaemia ( | |||
| Mean haemoglobin levels (SD) | 11.26 (1.45) | 10.89 (1.13) | 0.231b |
| Gravidity ( | |||
| Multigravidae | 128 (75.3%) | 13 (54.2%) | |
| Primigravidae | 42 (24.7%) | 11 (45.8%) | 0.030c |
| Gestational age ( | |||
| 1st trimester (1–14 weeks) | 59 (34.5%) | 10 (41.7%) | |
| 2nd trimester (15–28 weeks) | 100 (58.5%) | 11 (45.8%) | |
| 3rd trimester (≥ 29 weeks) | 12 (7.0%) | 3 (12.5%) | 0.423c |
| Fever ( | |||
| No | 164 (98.2%) | 18 (85.7%) | |
| Yes, ≥ 38 °C at point of enrolment | 3 (1.8%) | 3 (14.3%) | 0.019d |
| Anti-malarial use ( | |||
| Not in the current pregnancy | 123 (71.9%) | 17 (70.8%) | |
| Yes in the current pregnancy | 48 (28.1%) | 7 (29.2%) | 0.911c |
| Tuberculosis ( | |||
| Not on TB treatment | 170 (99.4%) | 23 (95.8%) | |
| Self-reported on TB treatment | 1 (0.6%) | 1 (4.2%) | 0.232d |
| HIV rapid test ( | |||
| Confirmed negative test | 143 (97.9%) | 19 (90.5%) | |
| Confirmed positive test | 3 (2.0%) | 2 (9.5%) | 0.119d |
| Syphilis rapid test ( | |||
| Confirmed negative test | 140 (100.0%) | 19 (95.0%) | |
| Confirmed positive test | 0 (0.0%) | 1 (5.0%) | 0.125d |
| ITN ( | |||
| Did not used an ITN the preceding night | 123 (71.9%) | 16 (66.7%) | |
| Slept under an ITN the preceding night | 48 (28.1%) | 8 (33.3%) | 0.594c |
| Education completed ( | |||
| None | 25 (14.6%) | 3 (12.5%) | |
| Primary | 24 (14.0%) | 2 (8.3%) | |
| Secondary | 97 (56.7%) | 16 (66.7%) | |
| Tertiary | 1 (0.6%) | 0 (0.0%) | |
| University | 17 (9.9%) | 1 (4.2%) | 0.800c |
| Current occupation ( | |||
| Professional/technological | 12 (7.0%) | 2 (8.3%) | |
| Sales/services: self-employed | 62 (36.3%) | 6 (25.0%) | |
| Sales/services: salaried | 12 (7.0%) | 2 (8.3%) | |
| Skilled/unskilled manual | 14 (8.2%) | 1 (4.2%) | |
| Clerical | 4 (2.3%) | 0 (0.0%) | |
| Student (no other paid occupation) | 43 (25.2%) | 9 (37.5%) | |
| Unemployed | 23 (13.5%) | 4 (16.7%) | 0.420c |
n number of participants
aOf the total (n = 195). Frequencies and rates in bivariate analyses below exclude missing values
bt-test
cPearson χ2
dFisher’s exact
Fig. 1Plasmodium falciparum densities according to gravidity
Molecular markers of P. falciparum anti-malarial resistance
| Genes | SNP | Wild-type | Mutant |
|---|---|---|---|
|
| N86Y | 8 (47.0%) | 9 (52.9%) |
| L155L (Syn) | 16 (94.1%) | 1 (5.9%) | |
| Y184F | 7 (41.2%) | 10 (58.8%) | |
| S1034C | 17 (100.0%) | 0 (0%) | |
| N1042D | 17 (100.0%) | 0 (0%) | |
| D1246Y | 15 (88.2%) | 2 (11.8%) | |
|
| S436A | 12 (70.6%) | 5 (29.4%) |
| A437G | 14 (82.3%) | 3 (17.6%) | |
| K540E | 17 (100.0%) | 0 (0%) | |
| A581G | 16 (94.1%) | 1 (5.9%) | |
| A613S | 15 (88.2%) | 2 (11.8%) | |
|
| M74I | 2 (11.8%) | 15 (88.2%) |
| N75E | 2 (11.8%) | 15 (88.2%) | |
| K76T | 2 (11.8%) | 15 (88.2%) | |
| I77I (Syn) | 16 (94.1%) | 1 (5.9%) | |
| I103I (Syn) | 16 (94.1%) | 1 (5.9%) | |
|
| V510V (Syn) | 16 (94.1%) | 1 (5.9%) |
SNP single nucleotide polymorphisms, Syn synonymous mutation (no amino acid change)