| Literature DB >> 33962647 |
Joaquín Pousibet-Puerto1, Ana Belén Lozano-Serrano1, Manuel Jesús Soriano-Pérez1, José Vázquez-Villegas2, María José Giménez-López3, María Isabel Cabeza-Barrera1, José Ángel Cuenca-Gómez1, Matilde Palanca-Giménez1, María Pilar Luzón-García1, Nerea Castillo-Fernández1, María Teresa Cabezas-Fernández1, Joaquín Salas-Coronas4,5.
Abstract
BACKGROUND: The western area of the province of Almeria, sited in southern Spain, has one of the highest immigrant population rates in Spain, mainly dedicated to agricultural work. In recent years, there has been a significant increase in the number of cases of imported malaria associated with migrants from countries belonging to sub-Saharan Africa. The objective of our study is to describe the epidemiological, clinical and analytical characteristics of malaria patients treated in a specialized tropical unit, paying special attention to the differences between VFR and non-VFR migrants and also to the peculiarities of microscopic malaria cases compared to submicroscopic ones.Entities:
Keywords: Coinfections; Immigrants; Malaria; P. falciparum; Semi-immunity; Sub-Saharan Africa; Submicroscopic malaria; VFR migrants
Year: 2021 PMID: 33962647 PMCID: PMC8103587 DOI: 10.1186/s13071-021-04727-0
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
Epidemiological, clinical and analytical characteristics of patients included in the study, grouped by type of traveler
| All | VFR | Non VFR | ||
|---|---|---|---|---|
| Age (years) | 33 (11) | 35.17 (7.83) | 29.96 (12.06) | < 0.001 |
| Gender (%) | ||||
| Male | 299 (90.9%) | 240 (93.4%) | 59 (81.9%) | 0.003 |
| Female | 30 (9.1%) | 17 (6.6%) | 13 (18.1%) | |
| Time after leaving malaria-endemic areas (%) | ||||
| ≤ 12 months | 316 (96.0%) | 253 (98.4%) | 63 (87.5%) | 0.011 |
| > 12 months | 13 (4.0%) | 4 (1.6%) | 9 (12.5%) | |
| Country of origin (%) | ||||
| Mali | 177 (53.8%) | 157 (61.1%) | 20 (27.8%) | |
| Senegal | 42 (12.8%) | 31 (12.1%) | 11 (15.3%) | |
| Equatorial Guinea | 25 (7.6%) | 11 (4.3%) | 14 (19.4%) | |
| Ghana | 24 (7.3%) | 19 (7.4%) | 5 (6.9%) | |
| Guinea Bissau | 18 (5.5%) | 12 (4.7%) | 6 (8.3%) | |
| Burkina-Faso | 12 (3.6%) | 5 (1.9%) | 7 (9.7%) | |
| Gambia | 8 (2.4%) | 6 (2.3%) | 2 (2.8%) | |
| Guinea-Conakry | 8 (2.4%) | 6 (2.3%) | 2 (2.8%) | |
| Nigeria | 7 (2.1%) | 5 (1.9%) | 2 (2.8%) | |
| Ivory Coast | 4 (1.2%) | 2 (0.8%) | 2 (0.8%) | |
| Mauritania | 2 (0.6%) | 2 (0.8%) | 0 (0.0%) | |
| Cameroon | 1 (0.3%) | 1 (0.4%) | 0 (0.0%) | |
| Togo | 1 (0.0%) | 0 (0.0%) | 1 (1.4%) | |
| Symptoms (%) | ||||
| Fever | 212 (64.4%) | 202 (78.6%) | 10 (13.9%) | < 0.001 |
| Diarrhea | 9 (2.7%) | 8 (3.1%) | 1 (1.4%) | 0.428 |
| Abdominal pain | 49 (14.9%) | 33 (12.8%) | 16 (22.2%) | 0.048 |
| Others/asymptomatic | 34 (10.3%) | 13 (5.1%) | 21 (29.2%) | < 0.001 |
| MM (%) | 239 (72.6%) | 219 (85.2%) | 20 (27.8%) | < 0.001 |
| SMM (%) | 90 (27.4%) | 38 (14.8%) | 52 (72.2%) | |
| 303 (92.1%) | 245 (95.3%) | 58 (80.6%) | < 0.001 | |
| 10 (3.0%) | 3 (1.2%) | 7 (9.7%) | ||
| 9 (2.7%) | 4 (1.6%) | 5 (6.9%) | ||
| Mixed infections: | 7 (2.1%) | 5 (1.9%) | 2 (2.8%) | |
| 3 | 2 | 1 | ||
| 3 | 2 | 1 | ||
| | 1 | 1 | ||
| Parasitemia (%) | ||||
| < 1 | 106 (44.3%) | 92 (43%) | 14 (87.5%) | < 0.001 |
| 1–2.5 | 65 (27.2%) | 64 (29.9%) | 1 (6.3%) | |
| 2.5–4 | 20 (8.4%) | 20 (9.3%) | 0 (0%) | |
| > 4 | 39 (16.3%) | 38 (17.8%) | 1 (6.3%) | |
| Not available | 9 (3.8%) | |||
MM microscopic malaria. SMM submicroscopic malaria. VFR Visiting friends and relatives. Quantitative variables: values are median (interquartile range, IQR). Qualitative variables: values are number (percentage), N (%)
Fig. 1Distribution of imported malaria cases including mixed infections
Epidemiological, clinical and analytical characteristics of patients included in the study, grouped by type of malaria
| MM | SMM | ||
|---|---|---|---|
| 239 (72.6%) | 90 (27.4%) | ||
| Age (years) | 34 (10) | 31 (14) | ≤ 0.01 |
| Time after leaving malaria-endemic areas (%) | |||
| ≤ 12 months | 234 (97.9%) | 82 (91.1%) | ≤ 0.01 |
| > 12 months | 5 (2.1%) | 8 (8.9%) | |
| Gender (%) | |||
| Male | 222 (92.9%) | 77 (85.6%) | 0.04 |
| Female | 17 (7.1%) | 13 (14.4%) | |
| Type of traveler | |||
| VFR | 219 (91.6%) | 38 (42.2%) | ≤ 0.01 |
| Non-VFR | 20 (8.4%) | 52 (57.8%) | ≤ 0.01 |
| Symptoms (%) | |||
| Fever | 194 (81.1%) | 18 (20.0%) | ≤ 0.01 |
| Diarrhea | 9 (3.8%) | 0 (0.0%) | 0.12 |
| Abdominal pain | 31 (13.0%) | 18 (20.0%) | 0.11 |
| Others/asymptomatic | 5 (2.1%) | 29 (32.2%) | ≤ 0.01 |
| 229 (95.8%) | 74 (82.2%) | ≤ 0.01 | |
| 4 (1.7%) | 6 (6.7%) | ||
| 1 (0.4%) | 8 (8.9%) | ||
| Mixed infections | 5 (2.1%) | 2 (2.2%) | |
| 1 | 2 | ||
| 3 | |||
| 1 | |||
| Malaria chemoprophylaxis in VFR travelers (%) | |||
| No | 135 (61.6%) | 21 (55.3%) | 0.67 |
| Yes | 15 (6.8%) | 8 (21.0%) | |
| Inadequate or suboptimal | 22 (10.0%) | 2 (5.3%) | |
| Unknown | 47(21.5%) | 7 (18.4%) | |
Quantitative variables: values are median (interquartile range, IQR). Qualitative variables: values are number (percentage), N (%)
MM microscopic malaria, SMM submicroscopic malaria, VFR visiting friends and relatives
Laboratory tests results for all patients included in the study, grouped by type of malaria
| ALL | MM | SMM | ||
|---|---|---|---|---|
| 239 (72.6%) | 90 (27.4%) | |||
| Hb (g/dl) | 13.6 (2.2) | 13.3 (2.0) | 14.3 (2.8) | ≤ 0.01 |
| Platelets × 103/µl | 114 (130) | 90 (86) | 216 (95) | ≤ 0.01 |
| Total bilirubin (mg/dl) | 1.1(1.1) | 1.3 (1.4) | 0.7 (0.6) | ≤ 0.01 |
| Structural hemoglobinopathies | ||||
| No | 237 (72.0%) | 175 (76.7%) | 62 (70.4%) | 0.25 |
| Yes | 79 (24.0%) | 53 (22.2%) | 26 (29.5%) | |
| Not available | 13 (3.9%) | |||
Quantitative variables: Median (interquartile range, IQR); quantitative variables: values are number (percentage), N (%)
MM microscopic malaria, SMM submicroscopic malaria, HB Hemoglobin
Co-infections found in the patients included in the study, grouped by type of malaria
| Co-infection | ALL | MM | SMM | |
|---|---|---|---|---|
| N = 329 | 239 (72.6%) | 90 (27.4%) | ||
| 40 (12.1%) | 20 (8.4%) | 20 (22.2%) | ≤ 0.01 | |
| 15 (4.5%) | 6 (2.5%) | 9 (10.0%) | ≤ 0.05 | |
| 7 (2.1%) | 5 (2.1%) | 2 (2.2%) | 1 | |
| 31 (9.4%) | 16 (6.7%) | 15 (16.7%) | ≤ 0.05 | |
| Hookworms | 10 (3.0%) | 3 (1.3%) | 7 (7.8%) | ≤ 0.01 |
| 2 (0.6%) | 1 (0.4%) | 1 (1.1%) | 0.54 | |
| 3 (0.9%) | 1 (0.4%) | 2 (2.2%) | 0.25 | |
| 3 (0.9%) | 0 (0.0%) | 3 (3.3%) | ≤ 0.05 | |
| Schistosomiasis* | 22 (6.7%) | 14 (5.9%) | 8 (8.9%) | 0.629 |
| 6 (1.8%) | 3 (1.3%) | 3 (3.3%) | 0.37 | |
| 6 (1.8%) | 3 (1.3%) | 3 (3.3%) | 0.39 | |
| 1 (0.3%) | 0 (0.0%) | 1 (1.1%) | 0.32 | |
| 5 (1.5%) | 4 (1.7%) | 1 (1.1%) | 0.3 | |
| Filariae | 14 (4.2%) | 4 (1.7%) | 10 (11.1%) | ≤ 0.01 |
| 13 (3.9%) | 2 (0.8%) | 9 (10.0%) | ≤ 0.01 | |
| 3 (0.9%) | 0 (0.0%) | 3 (3.3%) | ≤ 0.05 | |
| Syphilis | 23 (7.0%) | 11 (4.6%) | 12 (13.3%) | ≤ 0.01 |
| HBV | 49 (14.9%) | 24 (10.0%) | 25 (27.8%) | ≤ 0.01 |
| HCV | 2 (0.6%) | 1 (0.4%) | 1 (1.1%) | 0.39 |
| HIV | 10 (3.0%) | 9 (3.8%) | 1 (1.1%) | 0.29 |
Quatitative variables: values are number (percentage), N (%).* Probable schistosomiasis was diagnosed in four patients based on clinical, analytical and imaging tests although no schistosome was found
MM microscopic malaria, SMM submicroscopic malaria, HBV hepatitis B virus, HCV hepatitis C virus, HIV human immunodeficiency virus
Fig. 2Temporal evolution of migration in our area during the study period. VFR: visiting friends and relatives
Fig. 3Temporal distribution of malaria cases per year. MM: microscopic malaria. SMM: submicroscopic malaria
Fig. 4Monthly distribution of the malaria cases included in the study. MM: microscopic malaria. SMM: submicroscopic malaria