| Literature DB >> 35180230 |
Jaiberth Antonio Cardona-Arias1,2, Jaime Carmona-Fonseca2.
Abstract
Congenital Malaria (CM) is an underestimated and under-researched problem in Colombia, despite its severe clinical, epidemiological, economic, and public health consequences. The objective was to determine the general frequency of CM, the specific frequency of CM by diagnostic test and plasmodial species, and identify its associated factors. A retrospective study was carried out using the records of 567 newborns. qPCR and Thick Blood Smear (TBS) were performed. The frequency of infection was determined with a 95% confidence interval. Associated factors were identified by non-parametric tests and odds ratios; the confusion was controlled with a logistic regression model. All cases corresponded to submicroscopic CM (negative with TBS and positive with PCR), and the frequency was 12.2% (95%CI = 9.4-14.9). The detection was statistically higher in the umbilical cord with 16,2% (95%CI = 12.4-19.9) versus peripheral blood of the newborn with 2.2% (95%CI = 0.7-4.9). CM was statistically higher in newborn whose mothers had malaria in the last year, gestational and placental malaria. The median birth weight in newborn infected with CM was lower compared to the one of healthy neonates. Because the control program in Colombia is based on TBS, it must be improved with the inclusion of other tests that allow the detection of submicroscopic CM. In addition, the program has other limitations such as do not have specific actions for pregnant women and have a passive surveillance system. These difficulties do not allow to show the magnitude of CM, its consequences on neonatal and infant health, constituting a serious problem of health injustice.Entities:
Mesh:
Year: 2022 PMID: 35180230 PMCID: PMC8856554 DOI: 10.1371/journal.pone.0263451
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Frequency of congenital malaria according to the type of blood sample (peripheral or umbilical cord blood) and diagnostic test (thick blood smear or qPCR).
| Frequency % (n) | 95% CI | |
|---|---|---|
|
| ||
| Congenital malaria | 12.2 (69) | 9.4–14.9 |
|
| ||
| Thick blood smear | 0.0 (0) | -- |
| qPCR | 2.2 (5) | 0.7–4.9 |
| 1.3 (3) | 0.3–3.7 | |
| 0.9 (2) | 0.1–3.1 | |
|
| ||
| Thick blood smear | 0.0 (0) | -- |
| qPCR | 16.2 (64) | 12.4–19.9 |
| 10.1 (40) | 7.0–13.2 | |
| 4.8 (19) | 2.6–7.0 | |
| Mixed | 1.3 (5) | 0.4–2.9 |
Note. Both peripheral and cord blood were collected in 63 subjects. 58/63 negative in both samples, 5/63 negative in peripheral blood but positive in cord blood (2 P. falciparum, 2 P. vivax, 1 mixed malaria)
Description of clinical variables and malaria history of the mothers.
|
|
|
|
|
| Healthcare coverage | Subsidized | 339 | 59.8 |
| None | 15 | 2.6 | |
| Contributory | 2 | 0.4 | |
| No data | 211 | 37.2 | |
| Age group | Adolescents (13–19) | 166 | 29.3 |
| Youth (20–24) | 178 | 31.4 | |
| Adults (>24) | 211 | 37.2 | |
| No data | 12 | 2.1 | |
| Pregnancies | One | 186 | 32.8 |
| Two | 122 | 21.5 | |
| Three | 97 | 17.1 | |
| Four or more | 144 | 25.4 | |
| No data | 18 | 3.2 | |
| Deliveries | Nulliparous (0) | 86 | 15.2 |
| Primiparous (1) | 103 | 18.2 | |
| Multiparous (2 or more) | 194 | 34.2 | |
| No data | 184 | 32.5 | |
|
|
|
|
|
| Abortions | 381 | 55 | 14.4 |
| Stillbirth | 379 | 6 | 1.6 |
| Gestational anemia (hemoglobin<11) | 395 | 118 | 29.9 |
| History of malaria (last year) | 558 | 140 | 25.1 |
| No use of mosquito net | 388 | 138 | 35.6 |
| Gestational malaria (in current pregnancy) | 444 | 99 | 22.3 |
| Placental malaria (in current pregnancy) | 447 | 109 | 24.4 |
Comparison of the general frequency of congenital malaria, and specific in the newborn’s umbilical cord and peripheral blood; according to maternal and neonatal variables.
| Maternal and neonatal variables | Categories | Frequency % (n) | ||
|---|---|---|---|---|
| General N = 567 | Umbilical cord N = 396 | Peripheral blood N = 234 | ||
| Healthcare coverage | None | 6.7 (1) | 0.0 (0) | 6.7 (1) |
| Subsidized | 2.9 (10) | 3.3 (6) | 1.9 (4) | |
| Age group | Adolescents and young people (13–24) | 12.8 (44) | 16.7 (42) | 1.5 (2) |
| Adults (>24) | 11.8 (25) | 15.3 (22) | 3.3 (3) | |
| Pregnancies | One | 11.3 (21) | 14.2 (19) | 2.8 (2) |
| Two | 11.5 (14) | 15.0 (12) | 3.4 (2) | |
| Three | 15.5 (15) | 20.3 (14) | 2.6 (1) | |
| Four or more | 12.5 (18) | 17.8 (18) | 0.0 (0) | |
| Deliveries | Nulliparous (0) | 2.3 (2) | 2.8 (2) | 0.0 (0) |
| Primiparous (1) | 2.9 (3) | 1.7 (1) | 3.2 (2) | |
| Multiparous (2 or more) | 2.6 (5) | 2.3 (2) | 2.1 (3) | |
| Abortions | No | 2.5 (8) | 1.7 (3) | 2.5 (5) |
| Yes | 3.6 (2) | 5.1 (2) | 0.0 (0) | |
| Gestational anemia | No | 14.4 (40) | 14.7 (39) | 2.2 (1) |
| Yes | 17.8 (21) | 19.3 (21) | 0.0 (0) | |
| Malaria in the last year | No | 9.6 (40) | 12.2 (39) | 0.7 (1) |
| Yes | ||||
| Use of mosquito net | Yes | 2.0 (5) | 2.5 (3) | 1.2 (2) |
| No | 4.3 (6) | 3.0 (3) | 4.6 (3) | |
| Gestational malaria | No | 7.0 (24) | 10.4 (21) | 1.6 (3) |
| Yes | ||||
| Placental malaria | No | 3.8 (13) | 5.5 (11) | 1.0 (2) |
| Yes | ||||
| Low birth weight | No | 14.4 (61) | 19.5 (56) | 2.6 (5) |
| Yes | 20.7 (6) | 30.0 (6) | 0.0 (0) | |
| APGAR | Normal (>6) | 2.6 (7) | 2.2 (3) | 2.1 (4) |
| Abnormal (<7) | 0.0 (0) | |||
a Denominator corresponds to the number of subjects in each subgroup or category (rows of the table) evaluated in umbilical cord or peripheral blood, the numerator is the number of subjects with CM in said subgroup
b Pearson’s Chi-square test.
c Fisher’s Exact test.
*p<0.05.
**p<0.01.
Regression model for identification of confounding variables associated with congenital malaria.
| Variables of the model | Crude OR (95%CI) | Adjusted OR (95%CI) |
|---|---|---|
| Placental malaria (Yes/No) | 13.93 (7.06–27.46) | 12.40 (5.68–27.06) |
| Gestational malaria (Yes/No) | 5.02 (2.73–9.20) | 1.69 (0.81–3.51) |
| Malaria in the last year (Yes/No) | 2.25 (1.33–3.84) | 1.45 (0.70–2.98) |
*p<0.05.
**p<0.01.
OR: Odd ratios. 95%CI = 95% confidence interval.
Note. Two variables with a bivariate association with CM were not included in the model:
1. Birth weight: given that in the logistic model, continuous variables do not generate an interpretable result.
2. APGAR: since only one subject with this abnormal score presented CM, which affected the power of the logistic model.