| Literature DB >> 31771607 |
Bernard Brabin1,2,3, Halidou Tinto4, Stephen A Roberts5.
Abstract
BACKGROUND: In view of recent evidence from a randomized trial in Burkina Faso that periconceptional iron supplementation substantially increases risk of spontaneous preterm birth (< 37 weeks) in first pregnancies (adjusted relative risk = 2.22; 95% CI 1.39-3.61), explanation is required to understand potential mechanisms, including progesterone mediated responses, linking long-term iron supplementation, malaria and gestational age.Entities:
Keywords: Dual infection model; Hepcidin; Inflammation; Iron; Malaria; Preterm birth
Mesh:
Substances:
Year: 2019 PMID: 31771607 PMCID: PMC6880560 DOI: 10.1186/s12936-019-3013-6
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Ultrasound-dated preterm birth prevalence and mean gestational age in malaria endemic and non-endemic areas
| Country | Study years | Study designa | Ageb | N | Parity | Mean gestational age (days) | Preterm birthc (%) | Malaria exposure | References |
|---|---|---|---|---|---|---|---|---|---|
| Malawi | Pre 2009 | PRCT | ≤ 20–≥ 40 | 2149 | All | 270.2 | 16.3 | 29.5d | [ |
| Pre 2005 | Cohort | 22.8 | 456 | All | 266 | 20.3 | NR | [ | |
| Mali | 2010–2013 | Cohort | 15–45 | 152 | PG | 268.8 | 16.4 | 15.8e | [ |
| – | – | 114 | SG | 271.5 | 12.3 | 10.5e | |||
| – | – | 325 | MG | 275.8 | 2.5 | 9.5e | |||
| Kenya | |||||||||
| Control | 2011–2013 | PRCT | 15–45 | 233 | All | 271 | 16.2 | 52.1f | [ |
| Iron supplement | – | 237 | All | 274.4 | 9.1 | 50.9 | |||
| Gambia | |||||||||
| Control | 2006–2008 | Peri-RCT | 28.9 | 150 | All | 282.1 | 5.3 | 1.3g | [ |
| Multinutrients | – | 139 | All | 280 | 0.7 | 0.9 | |||
| Benin | 2008–2011 | Cohort | NR | 814 | All | NR | 9.9 | 34.2h | [ |
| Tanzania | 2008–2010 | Cohort | 22 | 28 | PG,SG | 272.7 | NR | All exposedi | [ |
| – | – | 23 | 93 | PG,SG | 279.4 | NR | None exposedi | ||
| Uganda | 2014 | Nested PRCT | 22.1 | 282 | All | NR | 9.2 | 2.9 to 8.6j | [ |
| Papua New Guinea | 2009–2012 | PRCT | 24.5 | 1941 | All | 274 | 8.6 | 13.6k | [ |
| Burkina Faso (PALUFER) | |||||||||
| Control | 2011–2013 | Peri-RCT | 17.1 | 137 | PG | 269 | 13.9 | 29.3l | [ |
| Iron supplemented | – | – | – | 149 | PG | 264 | 27.5 | 37.1l | |
| 34 high-income countries | 1996–2010 | Mixed | NR | 9.1 × 106 | All | 275.5 | 4.6–8.2 | None | [ |
PG primigravidae, SG secundigravidae; multigravidae, N sample size, NR Not reported, PRCT pregnancy randomized control trial, Peri-RCT periconceptional randomized control trial
aProvision of antenatal iron supplements stated for Malawi, Kenya (intervention arm alone), Gambia, Burkina Faso (both trial arms after first antenatal visit). Not stated for other studies or malaria non-endemic areas
bMean, median, or range in years
cBirth less than 37 weeks
dAntenatal parasite prevalence from thick blood film on peripheral blood at booking and second antenatal visit
eParasite prevalence in peripheral blood or placental blood smear
fPrevalence estimate from at least one positive result for dipstick tests (HRP2 or pLDH for any Plasmodium species) in maternal venous or placental blood, or by P. falciparum—specific PCR tests in maternal erythrocytes from venous or placental blood, or presence of parasites or pigment in placental biopsies by histopathology. Malaria estimates include past infections in pregnancy
gMalaria parasitaemia prevalence at enrolment in placebo cohort; sample size n = 240 (control), n = 232 (micronutrients)
hSub-microscopic prevalence at delivery on capillary venous blood with Real-time PCR Assay for detection of P. falciparum infections
iExposed or not exposed to malaria early in pregnancy
jPrevalence by microscopy of placental blood smear (2.9%); prevalence of parasite DNA in placental blood (8.6%), and histopathologic detection of malaria infection (pigment or parasites) of placental biopsies, which includes past infection (37.2%)
kPeripheral parasitaemia prevalence at enrolment by light microscopy and/or real time polymerase chain reaction (P. falciparum, P. vivax)
lAcute and chronic placental malaria prevalence (presence of parasitized cells on histology). Sample size at delivery n = 89 (iron supplements, n = 92 (control))
Fig. 1Association between maternal serum C-reactive protein concentration and spontaneous preterm birth in the PALUFER study. Fit and P-values derived from a logistic regression of preterm birth incidence (proportion) against log(CRP mg/l). Stippled lines are 95% confidence interval. Rugs at top and bottom indicate where preterm birth (red) and non-preterm birth (green) deliveries lie. ANC1 and ANC2 are the scheduled study antenatal visits. The regression slopes are 0.11 (95% CI − 0.06:0.29) for ANC1 and 0.39 (0.11:0.67) for ANC2 per unit log(CRP)
Fig. 2Association between maternal serum hepcidin concentration and spontaneous preterm birth in the PALUFER study. Fit and P-values derived from a logistic regression of preterm birth incidence (proportion) against log(hepcidin nmol/ml). Stippled lines are 95% confidence interval. Rugs at top and bottom indicate where preterm birth (red) and non-preterm birth (green) deliveries lie. ANC1 and ANC2 are the scheduled study antenatal visits. The regression slopes are 0.01 (95% CI − 0.20:0.22) for ANC1 and 0.38 (0.10:0.66) for ANC2 per unit log(hepcidin)
Fig. 3Association of maternal serum hepcidin and C-reactive protein concentration at the three assessment time-points in the PALUFER study. The lines show a segmented regression model consisting of linear segments before and after a (fitted) change point, and the different regression slopes before and after this change point with associated 95% CI are shown below the plots. The 95% confidence interval is shown for the change point estimate as a horizontal error bar and numerically below the plot. The vertical stippled lines show the cut points for CRP at 5 mg/l and 10 mg/l. Open and closed symbols indicate iron intervention (closed) and control (open) arms. Serum hepcidin is in nmol/l
Fig. 4Synergistic effects of dual exposure with chronic malaria and enteric infection in iron supplemented adolescents and increased risk of preterm birth. Red arrows: malaria loop; blue arrows: enteric loop; black arrows: iron pathway; brown arrows: preterm pathway. Numbers in square brackets refer to manuscript references with evidence for the specific pathway events. Box texts refer to pathophysiological consequences and stages in the specific pathways. Body iron stores refers to the observation that in the PALUFER trial mean body iron stores were higher in pregnant women with malaria [14], indicating that better iron status was associated with increased malaria infection risk. Nulliparous participants were individually randomized to receive either a weekly capsule containing ferrous gluconate (60 mg elemental iron, 479 mg gluconate) and folic acid (2.8 mg), or an identical capsule containing folic acid alone (2.8 mg). CRP: C-reactive protein; NO: nitric oxide; LPS: lipopolysaccharide; pro-inflammatory cytokines are interleukin (IL)-1 beta (β); IL-6; IL-8; interferon (IFN) gamma (ɣ); Nod-Like Receptor (NLR)P3: gene belonging to the NLRP3 inflammasome complex
Fig. 5Path model for evaluation of inflammatory factors influencing preterm birth and gestation. See Additional file 3. A fitted path model. Fitted coefficients are shown along the paths and represent effect sizes [differences in log(hepcidin), log(CRP), or gestation, or odds ratios for PTB per unit log(CRP), log(hepcidin)], treatment/non-treatment or amplitude of seasonal variability with 95% CI. The CRP–hepcidin relationship is non-linear and is illustrated graphically (see also Additional file 4: Figure S2). The model fits both PTB and gestation (in days), so there are coefficients for both relationships indicated by blue and green text respective