Abstract
Background
Although mixed infection by two Plasmodium species has been recognized, mixed infection by three different Plasmodium species within one individual has not been clarified. This study sought to determine the pooled prevalence and proportion of triple mixed Plasmodium spp. infection compared with double mixed infection.
Methods
Articles from PubMed, Scopus, and Web of Science were searched for cross-sectional studies of triple mixed infection by Plasmodium species and then were retrieved and extracted. The pooled proportion and prevalence of triple mixed infection by Plasmodium species were subjected to random-effects analysis. The secondary outcomes were differences in the pooled proportion between triple mixed infection and double mixed infection by Plasmodium species reported in the included studies.
Results
Of 5621 identified studies, triple mixed infection data were available for 35 records, including 601 patients from 22 countries. The overall pooled prevalence of triple mixed infection was 4% (95% Confidence Interval (CI) 3–5%; I2 = 92.5%). The pooled proportion of triple mixed infection compared with double mixed infection was 12% (95% CI 9–18; I2 = 91%). Most of the included studies (29/35; 82.9%) presented a lower proportion of triple mixed infection than double mixed infection. Subgroup analysis demonstrated that the proportion of triple mixed infection was the highest in Oceania (23%; 95% CI 15–36%) and Europe (21%; 95% CI 5–86%), but the lowest in the USA (3%; 95% CI 2–4%). Moreover, the proportion of triple mixed infection was higher in residents (20%; 95% CI 14–29%) than in febrile patients (7%; 95% CI 4–13%), when compared with the proportion of double mixed infection. Subgroup analysis of the age groups demonstrated that, compared with the proportion of double mixed infection, triple mixed infection was lower in patients aged ≤ 5 years (OR = 0.27; 95% CI 0.13–0.56; I2 = 31%) and > 5 years (OR = 0.09; 95% CI 0.04–0.25, I2 = 78%).
Conclusions
The present study suggested that, in areas where triple mixed infection were endemic, PCR or molecular diagnosis for all residents in communities where malaria is submicroscopic can provide prevalence data and intervention measures, as well as prevent disease transmission and enhance malaria elimination efforts.
Keywords: Plasmodium, Mixed infection, Triple infection, Quadruple infection, Concurrent infection
Background
Malaria remains a major disease of public health concern worldwide, particularly in sub-Saharan Africa [1]. In 2018, the World Health Organization (WHO) estimated 228 million cases and 405,000 deaths caused by malaria worldwide, mostly in children aged younger than 5 years [1]. Infections of the Plasmodium species usually present as monoinfection by one species; however, mixed infections by more than one species within one individual can occur [2–6]. The interactions between mixed infections are not well characterized, but may play roles in disease progression and outcomes [7]. Moreover, mixed infections by Plasmodium species are often not recognized or are underestimated by microscopists [8]. In Asia, mixed infections by Plasmodium species have occurred at a frequency of 2% to 30% [9]. Although mixed infection by two Plasmodium species has been recognized, mixed infection by three different Plasmodium species within one individual has not been clarified.
This study sought to determine the pooled prevalence and proportion of triple mixed infection by Plasmodium spp. compared with double mixed infection. This information is necessary to guide the progress of research on mixed infection and malaria management, as well as control strategies for strategic malaria diagnostic service choices and treatment options.
Methods
Search strategy
Articles from PubMed, Scopus, and Web of Science were searched for cross-sectional studies on triple mixed infection by Plasmodium species in patients with all species of malaria. Triple mixed infection were defined as infection with three Plasmodium species. Articles published between February 2, 1907, and February 24, 2020, in the English language were included in the analysis if they explicitly reported the presence of triple mixed infection by Plasmodium species. The search strategy included the search terms “(Plasmodium OR Malaria) AND (“Mixed infection” OR “Triple infection”)” (Additional file 1: Table S1).
Selection criteria
Observational studies, prospective cohorts, and case–control designs were included if they reported triple mixed malaria infection among the included participants by polymerase chain reaction (PCR) or molecular methods. Studies were excluded if the numbers of triple mixed infection could not be extracted and if only one species of Plasmodium was studied or evaluated subsequently from microscopy or rapid diagnostic test (RDT). Animal studies, clinical drug trials, case reports, experimental studies, reviews, systematic reviews, and polymorphism studies were excluded because they were considered incompatible study designs for the present review and meta-analysis. Studies were selected and identified by two independent authors (MK and KUK), with discrepancies resolved following discussion with a third author (FM). The protocol of this analysis was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Data extraction and definitions
The data extracted for individual studies included author names, year of publication, study area, year of study, details, and numbers of the participants, age ranges, blood collection methods, DNA extraction method, investigated gene, PCR method, malaria positivity status, number of double mixed infections, and number of triple mixed infections. The numbers of patients with four different Plasmodium species were also extracted for further discussions in the present study. Subgroup analyses were performed for the following parameters: publication year (before and after 2000), continent (Asia, Africa, America, Europe, or Oceania), participant group (febrile patients and residents from the same community), type of blood storage for PCR (EDTA blood or dried blood spots), and age group of patients with mixed infection.
Data analysis
The primary outcome was the pooled proportion and pooled prevalence of triple mixed infection by Plasmodium species, with random-effects meta-regression used to investigate these pooled analyses. The analyses were performed using Stata Statistical Software (Release 15; StataCorp LLC. USA). The secondary outcomes were differences in the pooled proportion between triple mixed infection and dual mixed infection by Plasmodium species reported in the included studies. Those differences were estimated using random-effects meta-analysis to calculate the odds ratio (ORs) and 95% confidence intervals (CI). The analyses were performed using Review Manager 5 (RevMan 5, Cochrane Community).
Potential bias related to individual studies was assessed using a tool developed by the Newcastle-Ottawa Scale (NOS) to assessing the quality of non-randomized studies in meta-analyses. The quality of included studies was rated if they qualified with a maximum of 7 stars. Publication bias related to study effects was assessed by funnel plot asymmetry. Between-study heterogeneity was assessed by the I2 statistic and was assessed using the random-effects statistic. Subgroup analysis of the baseline characteristics included continent (Asia, Africa, America, Europe, or Oceania), participants (residents and febrile individuals), type of blood storage for PCR (EDTA blood or dried blood spots), and age group. For the subgroup analyses of age groups and different mixed infections (double and triple infection), the age groups of patients were classified as ≤ 5 and > 5 years because children younger than 5 years are one of the most vulnerable groups affected by malaria [10].
Results
Characteristics of the included studies
After screening the titles and abstracts of 5621 identified studies published between February 2, 1907, and February 24, 2020, the full texts of 344 (6.11%) potentially relevant studies were reviewed (Fig. 1). There were 309 studies that did not meet the inclusion criteria, mostly because they did not document triple mixed infection by Plasmodium species in their studies. Thirty-five (10.1%) of 344 studies could be extracted and were included in the analysis (Table 1). Of the 35 studies, 14 (40%) were from the Asia–Pacific region, 9 (25.7%) were from Africa, 5 (14.3%) were from Europe, 4 (11.4%) were from Oceania, and three (8.6%) were from the (Table 1). Among 35 included studies from 22 different countries, most (4/35, 11.4%) were from Papua New Guinea [11–14], Cambodia [15–17], India [6, 18, 19], Italy [4, 20, 21], and Uganda [2, 22, 23]. Most of the participants included among the studies were residents (16/35, 45.7%), febrile patients (11/35, 31.4%), and malaria-positive cases (6/35, 17.1%). Twenty-four studies (68.6%) reported age ranges, whereas others did not. One study used samples from doubtful microscopic examination [18], whereas another enrolled both febrile and asymptomatic patients to perform PCR analysis [6]. More than half of the included studies (18/35, 51.4%) used EDTA blood to extract the DNA for PCR analysis, whereas others used dried blood spots (15/35, 42.9%), and one study used thick smears for DNA extraction [24]. Most of the studies (28/35, 80%) used DNA commercial kits, while four studies (4/35, 11.4%) used 30% Chelex-100 and phenol–chloroform extraction for DNA extraction. All of the included studies used the 18S ribosomal RNA (rRNA) gene to identify the Plasmodium genus and species. Overall, 44,310 participants were enrolled in the included studies. Of those, most were residents (34,483, 77.8%), febrile patients (7797, 17.6%), and malaria-positive samples (1675, 3.78%).
Fig. 1.
Flow chart for the study selection
Table 1.
Characteristics of the included studies
| No. | Author, year | Study area (years of the survey) |
Participants | Age range | Age groups (n) | Blood storage for PCR | DNA extraction | Investigated gene | PCR method | Malaria positive by PCR | Mixed infection (dual infection) | Mixed infection (Triple infection) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. | Asua et al. [2] | Uganda | Malaria positive (499) | 6 months to 10 years | Dried blood spots | Chelex extraction kits | 18S rRNA | Nested PCR | 474 |
Pf/Pm (19) Pf/Po (14) Pf/Pv (3) Pm/Pv (1) Total = 37 |
Pf/Pm/Po (1) | |
| 2. | Barber et al. [3] | Malaysia (2009–2011) | Malaria positive (653) |
P. knowlesi (IQR 20–50 years), P. falciparum (IQR 9–31 years), P. vivax (19 years, IQR 7–32 years) |
Triple infection: < 5 (1), 10–14 (1), 30–34 (1), 80–84 (1) Dual infection: < 5 (1), 5–9 (2), 10–14 (5), 15–19 (3), 20–24 (2), 25–29 (2), 30–34 (4), 35–39 (3), 40–44 (5), 45–49 (2), 50–54 (2), 70–74 (2), 75–79 (1) |
NA | NA | 18S rRNA | Nested PCR | 445 |
Pv/Pk (36) Pf/Pk (6) Pm/Pk (1) Pf/Pm (1) Total = 44 |
Pf/Pv/Pk (2) Pv/Pm/Pk (2) |
| 3. | Calderaro et al. [4] | Italy (2000–2007) | Febrile patients (701) | NA | EDTA blood |
High Pure Template Preparation kit (Roche Diagnostics, Mannheim, Germany) |
18S rRNA | Nested PCR | 159 |
Pf/Po (3) Pf/Pm (1) Total = 4 |
Pf/Pm/Po (2) | |
| 4. | Camargo-Ayala et al. [5] | Colombia (2012–2015) | Febrile patients (671) | < 5, 5–18, 18–60, and > 60 years |
Triple infection: < 5 (4), 5–18 (2), 18–60 (6), > 60 (2) Dual infection: < 5 (16), 5–18 (56), 18–60 (139), > 60 (15) |
EDTA blood | Pure Link Genomic DNA mini kit (Invitrogen) | 18S rRNA | Nested PCR | 531 |
Pv/Pm (190) Pf/Pv (25) Pf/Pm (10) Total = 225 |
Pf/Pm/Pv (14) |
| 5. | Dhangadamajhi et al. [6] | India (2008) | Febrile and asymptomatic (242) | 0–5 years, 6–15, and > 15 years |
Triple infection: 0–5 (1), 6–15 (2), > 15 (2) Dual infection: 0–5 (7), 6–15 (32), > 15 (39) |
EDTA blood | Phenol–Chloroform extraction | 18S rRNA | Nested PCR | 197 |
Pf/Pv (15) Pf/Pm (54) Pv/Pm (10) Total = 79 |
Pf/Pm/Pv (5) |
| 6. | Dormond et al. [40] | Switzerland (2004–2008) | Malaria positive (89) | >16 years | EDTA blood | MagNA Pure LC DNA isolation kit (Roche, Basel, Switzerland) | 18S rRNA | Nested PCR | 89 |
Pf/Po (3) Pf/Pm (2) Total = 5 |
Pf/Pm/Po (1) | |
| 7. | Fuehrer et al. [41] |
Bangladesh: Chittagong Hill Tracts (2007–2008) Malaria Research Initiative Bandarban field site (2008–2009) |
Febrile patients (379) | Any age | Dried blood spots |
Modified Chelex-based technique, the InstaGene Whole Blood Kit (Bio-Rad Laboratories, Hercules, CA) |
18S rRNA | Nested PCR | 189 |
Pf/Pv (21) Pf/Pm (2) Total = 23 |
Pf/Pm/Pv (2) | |
| 8. | Gabrielli et al. [42] | Congo (2014) |
Residents (306) |
1 week to < 5 years | Dried blood spots |
The commercial kit Dried Blood spot DNA isolation Kit (Norgen Biotek Corp, Ontario, Canada) |
18S rRNA | Nested PCR | 164 |
Pf/Pm (13) Pf/Po (2) Pf/Pv (1) Total = 16 |
Pf/Pm/Pv (1) | |
| 9. | Hopkins et al. [22] | Uganda (2010–2011) | Residents (272) | 5–81 years: 5–10, 11–20, and ≥ 21 years | EDTA blood | Phenol–Chloroform extraction | 18S rRNA | Nested PCR and qPCR | 199 |
Pf/Pm (38) Pf/Po (8) Total = 46 |
Pf/Pm/Po (10) | |
| 10. | Jiang et al. [43] | Myanmar (2008) | Malaria positive (146) | NA | Dried blood spots | Chelex extraction kits | 18S rRNA | Nested PCR | 146 |
Pf/Pk (13) Pv/Pk (13) Pf/Pv (10) Total = 36 |
Pf/Pv/Pk (2) | |
| 11. | Kasehagen et al. [11] | Papua New Guinea (2001–2003) | Residents (16,209) | < 2, 2.0–3.9, 4.0–6.9, 7.0–9.9, 10.0–19.9, 20.0–39.9, and ≥ 40 years | EDTA blood | QIAamp 96 DNA Blood Kit (QIAGEN, Valencia, CA) | 18S rRNA | LDR-FMA | 658 |
Pf/Pv (72) Pf/Pm (32) Pf/Po (13) Pv/Pm (17) Pv/Po (9) Pm/Po (4) Total = 147 |
Pf/Pm/Pv (28) Pf/Pv/Po (5) Pf/Pm/Po (4) Pv/Pm/Po (4) Pf/Pv/Pm/Po (11) |
|
| 12. | Krishna et al. [18] | India (2015) | Doubtful microscopic (355) | ≤ 1, > 1–4, >4–8, > 8–14, and > 14 years | Dried blood spots | FavorPrep Genomic DNA Mini Kit (Favorgen Biotech Corp., Taiwan). | 18S rRNA | Nested PCR | 353 |
Pf/Pv (59) Pf/Pm (3) Total = 62 |
Pf/Pm/Pv (5) Pf/Pv/Po (1) Pf/Pv/Pm/Po (1) |
|
| 13. | Lorenzetti et al. [44] | Brazil (2003–2005) | Malaria positive (115) | 18–52 years | EDTA blood | Phenol–Chloroform extraction | 18S rRNA | Nested PCR | 115 |
Pf/Pm (2) Pf/Pv (28) Total = 30 |
Pf/Pm/Pv (1) | |
| 14. | Marques et al. [45] | Mozambique (2001–2002) | Residents (308) | 1–82 years | EDTA blood | Phenol–Chloroform extraction | 18S rRNA | Nested PCR | 115 |
Pf/Pm (70) Pf/Po (10) Total = 80 |
Pf/Pm/Po (9) | |
| 15. | May et al. [48] | Nigeria (1996–1997) | Residents (593) | Children in Abanla (1–11 years), Children in Ibadan (3–8 years), Children in health centres in Ibadan (0.8–11 years), Healthy adults (15–56 years) | EDTA blood | DNA-Easy Kit (Invitrogen, St. Louis, MO) | 18S rRNA | Nested PCR | 165 |
Pf/Pm (41) Pf/Po (12) Total = 53 |
Pf/Pm/Po (27) | |
| 16. | Mehlotra et al. [13] | Papua New Guinea (1998–1999) | Residents (1848) | All groups < 1–85 years: 2–4, 5–9, ≥ 10 years |
Triple infection: 2–4 (2), 5–9 (8), ≥ 10 (24) Dual infection: 2–4 (14), 5–9 (51), ≥ 10 (115) |
EDTA blood |
QIAamp 96 spin blood kits (QIAGEN, Valencia, CA) |
18S rRNA | Nested PCR | 541 |
Pf/Pv (116) Pf/Pm (27) Pf/Po (11) Pv/Pm (21) Pv/Po (4) Pm/Po (3) Total = 182 |
Pf/Pm/Pv (23) Pf/Pv/Po (9) Pf/Pm/Po (1) Pf/Pv/Pm/Po (3) |
| 17. | Mehlotra et al. [12] | Papua New Guinea (1996) | Malaria positive (173) | 5–10 and > 11 years |
Triple infection: 5–10 (1), > 11 (0) Dual infection: 5–10 (6), > 11 (9) |
EDTA blood |
QIAamp 96 or individual spin blood kits (QIAGEN, Valencia, CA) |
18S rRNA | Nested PCR | 163 |
Pf/Pv (40) Pf/Pm (16) Pf/Po (4) Pv/Pm (3) Total = 63 |
Pf/Pm/Pv (27) Pf/Pv/Po (8) Pf/Pm/Po (5) Pv/Pm/Po (1) Pf/Pv/Pm/Po (9) |
| 18. | Mueller et al. [14] | Papua New Guinea (2005) | Residents (2527) | < 10 and ≥ 20 years | EDTA blood | QIAmp 96 DNA Blood kits (Qiagen, CA) | 18S rRNA | A semi-quantitative post-PCR, ligase detection reaction/fluorescent microsphere assay (LDR-FMA) | 1844 |
Pf/Pv (363) Pf/Pm (136) Pf/Po (27) Pv/Pm (26) Pv/Po (7) Pm/Po (1) Total = 560 |
Pf/Pm/Pv (99) Pf/Pv/Po (33) Pf/Pm/Po (8) Pv/Pm/Po (6) Pf/Pv/Pm/Po (17) |
|
| 19. | Nino et al. [46] | Colombia (2015–2016) | Febrile patients (1392) | NA | EDTA blood | Pure Link Genomic DNA mini kit (Invitrogen) | 18S rRNA | Nested PCR | 596 |
Pf/Pv (111) Pv/Pm (340) Pf/Pm (29) Total = 480 |
Pf/Pm/Pv (52) | |
| 20. | Pati et al. [19] | India | Febrile patients (1589) | Severe malaria (15–65 years) | Dried blood spots | Chelex extraction kits | 18S rRNA | Nested PCR | 110 |
Pf/Pv (11) Pf/Pm (4) Pv/Pm (3) Total = 18 |
Pf/Pm/Pv (5) | |
| 21. | Perandin et al. [20] | Italy | Febrile patients (122) | NA | EDTA blood |
The High Pure PCR template preparation kit (Roche, Indianapolis, Ind.) |
18S rRNA | Nested PCR | 62 | Pf/Po (1) | Pf/Pm/Po (1) | |
| 22. | Peruzzi et al. [21] | Italy (2005–2006) | Febrile patients (139) | 2–49 years | Triple infection: 19 years | EDTA blood |
High Pure PCR Template Preparation Kit” (Roche) |
18S rRNA | Nested PCR | 36 | None | Pf/Pm/Po (1) |
| 23. | Pongvongsa et al. [28] | Laos-Vietnam border (2010) |
Residents (3059) Sample for PCR (135) |
P. knowlesi (2–15 years) |
Triple infection (Pf/Pv/Pk): mean 6.43 years (7) Dual infection (Pk/Pv): mean 7.4 years (5) |
Dried blood spots |
QIAamp DNA micro kit (QIAGEN, Tokyo, Japan) |
18S rRNA | Nested PCR | 90 |
Pf/Pv (15) Pf/Pm (2 Pv/Pk (5) Total = 22 |
Pf/Pm/Pv (1) Pf/Pv/Pk (7) |
| 24. | Putaporntip et al. [25] | Thailand (2006–2007) | Febrile patients (1874) | 1–81 years | Dried blood spots | Qiagen DNA Mini Kit | 18S rRNA | Nested PCR | 1751 |
Pf/Pv (200) Pf/Pm (6) Pf/Po (2) Pf/Pk (5) Pv/Pm (8) Pv/Po (4) Pv/Pk (4) Pm/Po (1) Total = 230 |
Pf/Pm/Pv (4) Pf/Pv/Po (7) Pf/Pv/Pm/Po (1) |
|
| 25. | Rubio et al. [38] | Spain (1997–1998) | Febrile patients (168) | NA | EDTA blood |
Modified Chelex-based technique, the InstaGene Whole Blood Kit (Bio-Rad Laboratories, Hercules, CA) |
18S rRNA | Nested PCR | 89 |
Pf/Pm (4) Pf/Po (1) Pf/Pv (3) Total = 8 |
Pf/Pm/Pv (1) | |
| 26. | Rubio et al. [39] | Equatorial Guinea (1996) | Febrile patients (159) | < 6 years | Dried blood spots |
5% Chelext-100 Resin (Bio-Rad Laboratories, Hercules, CA) |
18S rRNA | Nested PCR | 126 |
Pf/Pm (36) Pf/Po (3) Pf/Pv (2) Total = 41 |
Pf/Pv/Po (3) | |
| 27. | Sitali et al. [29] | Zambia (2012) | Residents (873) | < 6 years | Dried blood spots | Chelex extraction kits | 18S rRNA | Nested PCR | 474 |
Pf/Pm (31) Pf/Po (10) Pf/Pv (1) Total = 42 |
Pf/Pm/Po (6) Pf/Pm/Pv (1) |
|
| 28. | Sluydts et al. [15] | Cambodia (2012) | Residents (5793) | 2–5, 5–14, 15–39, and ≥ 40 years | Dried blood spots | Instagene® Matrix resin (Bio-Rad, Singapore) | 18S rRNA | Two-step Real-time PCR | 368 |
Pf/Pv (56) Pf/Pm (5) Pf/Po (1) Pv/Pm (3) Pv/Po (11) Total = 76 |
Pf/Pm/Pv (4) Pf/Pv/Po (1) Pf/Pv/Pm/Po (1) |
|
| 29. | Steenkeste et al. [16] | Cambodia (2001) | Residents (337) | NA | Dried blood spots |
the Instagene resin (Bio-Rad, USA) |
18S rRNA | Nested PCR | 140 |
Pf/Pv (52) Pf/Pm (15) Pf/Po (4) Total = 71 |
Pf/Pv/Po (7) Pf/Pm/Pv (24) Pf/Pv/Pm/Po (8) |
|
| 30. | Steenkeste et al. [17] | Cambodia (2001) | Residents (134) | < 1– > 60 years: < 1, 1, 2, 3, 4, 5–9, 10–14, 15–19, 20–39, 40–60, and > 60 years | Dried blood spots | Instagene resin (Bio-Rad, Germany) a | 18S rRNA | Nested PCR | 102 |
Pf/Pm (4) Pf/Po (2) Pf/Pv (18) Pv/Pm (3) Total = 27 |
Pf/Pm/Pv (7) Pf/Pv/Po (3) Pf/Pv/Pm/Po (3) |
|
| 31. | Subissi et al. [23] | Uganda (2010) | Residents (509) | 1–5, 6–10, and > 20 years |
Triple infection: 1–5 (5), 6–10 (5), > 20 (0) Dual infection: 1–5 (27), 6–10 (24), > 20 (2) |
Dried blood spots | QIAamp mini kit (QIAGEN, Venlo, The Netherlands) | 18S rRNA | Nested PCR | 299 |
Pf/Pm (39) Pf/Po (14) Total = 53 |
Pf//Pm/Po (10) |
| 32. | Toma et al. [27] | Laos (1997) | Residents (336) | < 11– > 50 years: 2–68 years in Phavang and 0–75 years in Sisomsouen | EDTA blood |
GFX Genomic Blood DNA Purification Kit (Pharmacia Biotech). |
18S rRNA | Nested PCR | 117 |
Pf/Pv (19) Pf/Pm (2) Pv/Pm (2) Pv/Po (1) Total = 24 |
Pf/Pm/Pv (1) Pf/Pv/Po (1) Pf/Pv/Pm/Po (1) |
|
| 33. | Woldearegai et al. [47] | Gabon (2016) | Residents (834) | 1–96 years: 1–5, 6–10, 11–15, 16–20, 21–25, 26–30, 31–40, 41–50, 51–60, 61–70, 71–80, and 81–96 years | EDTA blood | QIAsymphony DSP DNA kit | 18S rRNA | Nested PCR | 618 |
Pf/Pm (123) Pf/Po (43) Pm/Po (1) Total = 167 |
Pf//Pm/Po (51) | |
| 34. | Zhou et al. [24] | Thailand (1995–1996) | Residents (548) | NA | Thick smear | 30% Chelex-100 | 18S rRNA | Nested PCR | 114 |
Pf/Pv (10) Pf/Pm (6) Pv/Pm (19) Pv/Po (1) Total = 36 |
Pf/Pm/Pv (49) Pf/Pv/Po (2) Pv/Pm/Po (1) Pf/Pv/Pm/Po (7) |
|
| 35. | Zhou et al. [26] | China (2008–2012) | Febrile patients (562) | NA | Dried blood spots |
QIAamp DNA Mini Kit (QIAGEN China (Shanghai) |
18S rRNA | Nested PCR | 384 |
Pf/Pv (67) Pv/Po (2) Pf/Pk (2) Pf/Pm (2) Po/Pm (1) Total = 74 |
Pf/Pv/Po (3) Pf/Pm/Pv (1) Pv/Pm/Po (1) Pf/Pv/Pm/Po (1) |
|
| Total = 12,023 |
2 species = 3059 Pf/Pv = 1318 Pf/Po = 188 Pf/Pm = 775 Pf/Pk = 26 Pv/Pm = 645 Pv/Po = 39 Pv/Pk = 58 Pm/Po = 10 Pm/Pk = 1 |
3 species = 601 Pf/Pm/Pv = 355 Pf/Pv/Po = 83 Pf/Pm/Po = 137 Pf/Pv/Pk = 11 Pv/Pm/Po = 13 Pv/Pm/Pk = 2 4 species = 53 |
Pf refers to P. falciparum
Pv refers to P. vivax
Po refers to P. ovale
Pm refers to P. malariae
Pk refers to P. knowlesi
NA Not Assessed
Regarding the number of malaria-positive participants by PCR, 12,023 patients were infected by one of the five Plasmodium species (Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale, and Plasmodium knowlesi). Among those positive patients, 3059 (25.4%) were infected with two different Plasmodium species. The most common types of mixed infection were P. falciparum and P. vivax (1318, 11%), P. falciparum and P. malariae (775, 6.4%), and P. vivax and P. malariae (645, 5.4%). Among those 12,023 positive patients, 601 (5%) were infected with three different Plasmodium species. The most common types of mixed infection were P. falciparum/P. malariae/P. vivax (355, 3%), P. falciparum/P. malariae/P. ovale (137, 1.1%), and P. falciparum/P. vivax/P. ovale (83, 0.7%). Fifty-three patients (0.44%) had quadruple mixed infection with P. falciparum/P. vivax/P. malariae/P. ovale.
Quadruple mixed infection was identified among the present studies and comprised of P. falciparum/P. vivax/P. malariae/P. ovale in one individual. Fifty-three patients (0.44%) had quadruple mixed infection. Most (40/53, 75.5%) were found in Papua New Guinea [11–14], followed by Cambodia (12/53, 22.6%) [15–17], Thailand (8/53, 15%) [24, 25], India (1/53, 1.9%) [18], China (1/53, 1.9%) [26], and Laos (1/53, 1.9%) [27].
Quality of the included studies
All of the included studies were rated with a maximum of 7 stars (Table 2). Sixteen studies received 7 stars, 12 received 6 stars, and 7 received 5 stars. The twelve studies rated with 6 stars used febrile controls, and the 7 studies rated with 5 stars used malaria-positive samples for PCR analysis.
Table 2.
Quality of the included studies
| No. | References | Selection | Compatibility | Exposure | Total score (7) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Is the case definition adequate? | Representativeness of the cases | Selection of controls | Definition of controls | Ascertainment of exposure | Same method of ascertainment for cases and controls | Non-response Rate | ||||
| 1. | Asua et al. [2] | * | NA | * | * | * | * | 5 | ||
| 2 | Barber et al. [3] | * | NA | * | * | * | * | 5 | ||
| 3. | Calderaro et al. [4] | * | * | NA | * | * | * | * | 6 | |
| 4. | Camargo-Ayala et al. [5] | * | * | NA | * | * | * | * | 6 | |
| 5. | Dhangadamajhi et al. [6] | * | * | NA | * | * | * | * | 6 | |
| 6. | Dormond et al. [40] | * | NA | * | * | * | * | 5 | ||
| 7. | Fuehrer et al. [41] | * | * | NA | * | * | * | * | 6 | |
| 8. | Gabrielli et al. [42] | * | * | * | NA | * | * | * | * | 7 |
| 9. | Hopkins et al. [22] | * | □ | □ | NA | * | * | * | * | 7 |
| 10. | Jiang et al. [43] | * | NA | * | * | * | * | 5 | ||
| 11. | Kasehagen et al. [11] | * | * | * | NA | * | * | * | * | 7 |
| 12. | Krishna et al. [18] | * | NA | * | * | * | * | 5 | ||
| 13. | Lorenzetti et al. [44] | * | NA | * | * | * | * | 5 | ||
| 14. | Marques et al. [45] | * | * | * | NA | * | * | * | * | 7 |
| 15. | May et al. [7] | * | * | * | NA | * | * | * | * | 7 |
| 16. | Mehlotra et al. [13] | * | * | * | NA | * | * | * | * | 7 |
| 17. | Mehlotra et al. [12] | * | NA | * | * | * | * | 5 | ||
| 18. | Mueller et al. [14] | * | * | * | NA | * | * | * | * | 7 |
| 19. | Nino et al. [46] | * | * | NA | * | * | * | * | 6 | |
| 20. | Pati et al. [19] | * | * | NA | * | * | * | * | 6 | |
| 21. | Perandin et al. [20] | * | * | NA | * | * | * | * | 6 | |
| 22. | Peruzzi et al. [21] | * | * | NA | * | * | * | * | 6 | |
| 23. | Pongvongsa et al. [28] | * | * | * | NA | * | * | * | * | 7 |
| 24. | Putaporntip et al. [25] | * | * | NA | * | * | * | * | 6 | |
| 25. | Rubio et al. [38] | * | * | NA | * | * | * | * | 6 | |
| 26. | Rubio et al. [38] | * | * | NA | * | * | * | * | 6 | |
| 27. | Sitali et al. [29] | * | * | * | NA | * | * | * | * | 7 |
| 28. | Sluydts et al. [15] | * | * | * | NA | * | * | * | * | 7 |
| 29. | Steenkeste et al. [16] | * | * | * | NA | * | * | * | * | 7 |
| 30. | Steenkeste et al. [17] | * | * | * | NA | * | * | * | * | 7 |
| 31. | Subissi et al. [23] | □ | * | * | NA | * | * | * | * | 7 |
| 32. | Toma et al. [27] | □ | * | * | NA | * | * | * | * | 7 |
| 33. | Woldearegai et al. [47] | * | * | * | NA | * | * | * | * | 7 |
| 34. | Zhou et al. [24] | * | * | * | NA | * | * | * | * | 7 |
| 35. | Zhou et al. [26] | * | * | NA | * | * | * | * | 6 | |
The pooled prevalence of triple mixed infection
The numbers of triple mixed infection were available for 35 records that included 601 patients from 22 countries. The overall pooled prevalence of triple mixed infection (4%; 95% CI 3–5%; I2 = 92.5%) with no evidence of publication bias related to small study effects is shown in the funnel plot (Fig. 2). The highest prevalence of triple mixed infection for an individual study was 46% (95% CI 37–55) in a study by Zhou et al. [24].
Fig. 2.
Pooled prevalence of triple mixed infections by Plasmodium species
Comparison of the pooled proportion of triple and double mixed infections
The pooled proportion of triple mixed infection compared with double mixed infection was 12% (95% CI 9–18, I2 = 91%) (Fig. 3). Most of the included studies (29/35, 82.9%) presented a lower proportion of triple mixed infection than double mixed infection. Only one study demonstrated a higher proportion of triple mixed infection than double mixed infection [24]. Another included study by Peruzzi et al. could not input the present meta-analysis because it had only reported on triple mixed infection, not double mixed infection [21].
Fig. 3.
Pooled proportion of triple mixed infections by Plasmodium species compared with double mixed infections
Subgroup analysis
Subgroup analysis of the continents from 34 studies where triple mixed infection were reported in the included studies was available. The analysis demonstrated that the proportion of triple mixed infection was the highest in Oceania 23% (95% CI 15–36%) and Europe 21% (95% CI 5–86%) compared with that of double mixed infection (Fig. 4). However, the proportion of triple mixed infection was the lowest in America (3%; 95% CI 2–4%). A subgroup difference was found between continents with a high level of heterogeneity (P-value < 0.0001, I2 = 94.8%).
Fig. 4.
Subgroup analysis of triple mixed infections by Plasmodium species between areas of the included studies
Subgroup analysis of the febrile subjects and residents from 27 studies was available (Fig. 5). Compared with the proportion of double mixed infection, triple mixed infection was higher in residents (20%; 95% CI 14–29%) than in febrile patients (7%; 95% CI 4–13%). A subgroup difference was observed between febrile patients and residents with a high level of heterogeneity (P-value = 0.004, I2 = 88.2%). Subgroup analysis of the blood collection method for PCR from 32 studies was available. The proportion of triple mixed infection using EDTA blood was 13% (95% CI 8–21%) and dried blood spots was 10% (95% CI 7–17%), with no subgroup difference between the groups (P-value = 0.59; Fig. 6).
Fig. 5.
Subgroup analysis of triple mixed infections by Plasmodium species between residents and febrile groups
Fig. 6.
Subgroup analysis of triple mixed infections by Plasmodium species between the two blood collection methods
Seven included studies reported the age groups, and different types of mixed infection (85 triple mixed infection and 581 double mixed infection). Subgroup analysis of age groups demonstrated that, compared with the proportion of double mixed infection, triple mixed infection was lower in patients aged ≤ 5 years (OR = 0.27; 95% CI 0.13–0.56; I2 = 31%) and > 5 years (OR = 0.09; 95% CI 0.04–0.25; I2 = 78%) (Fig. 7). Subgroup analysis demonstrated no statistical difference (P-value = 0.09, I2 = 64.7%).
Fig. 7.
Subgroup analysis of triple mixed infections by Plasmodium species between the two age groups
Publication bias
Publication bias related to study effects was assessed using funnel plot asymmetry, and no publication bias was demonstrated as evidenced by the symmetry of the funnel plot (Fig. 8).
Fig. 8.
Publication bias among the included studies as demonstrated by funnel plot analysis
Discussion
The pooled prevalence of triple mixed infection has not been clarified in the previous literature. The systematic review and meta-analysis of 12,023 malaria-positive patients demonstrated a high prevalence of triple mixed infection (4%). The most common triple mixed infection of Plasmodium species was P. falciparum, P. malariae, and P. vivax (59%). This finding agreed with those of previous studies in Papua New Guinea [11–14], India [18], Cambodia [15–17], and Thailand [24], but contradicts the findings of previous studies which included P. ovale in triple mixed infection in the Laos-Vietnam border (P. falciparum/P. vivax/P. knowlesi) [28], China (P. falciparum/P. vivax/P. ovale) [26], Thailand (P. falciparum/P. vivax/P. ovale) [25], and Zambia (P. falciparum/P. malariae/P. ovale) [29].
The mechanisms underlying the triple mixed parasitic infection are unknown; however, the course of an infection might be influenced by the simultaneous occurrence of several Plasmodium species [30, 31]. Another explanation is the immunosuppressive effects caused by chronic P. falciparum infection and differences in individual exposure [32]. Whether the simultaneous infections might be beneficial or adds further detriment to the infected individual is not well defined. Triple mixed infection may be caused by cross immunity-induced susceptibility to three infections or exposure to infective bites of a single vector that can transmit three Plasmodium species [33]. A previous study indicated that infection with one Plasmodium species increased susceptibility to infection by other Plasmodium species [34]. The apparent frequency of mixed infection is dependent on the technique used for parasite analyses. The results demonstrated a high proportion of triple mixed infection compared with double mixed infection only in studies using PCR analysis to detect the malaria parasite due to the high sensitivity and specificity of PCR compared with microscopy or RDTs. In areas where more than one Plasmodium species is present and transmission is stable, the adult populations often have parasite densities below the level of microscopic detection and called “submicroscopic infections”. These submicroscopic infections demonstrated more than one Plasmodium species.
The subgroup analysis demonstrated that the proportion of triple mixed infection was higher in residents than in febrile patients, indicating that residents in communities where malaria is endemic were exposed to malaria several times or to more than one species at a time [35]. These triple mixed infection were submicroscopic infection for which microscopy has insufficient sensitivity for their detection. It is well-documented that malaria patients in endemic areas develop immunity against malaria, resulting in symptom relief [35, 36]. A previous study demonstrated that age, geographical origin, and clinical manifestations were found to be associated with triple mixed infection [5]. The subgroup analysis of age ranges demonstrated that the proportion of triple mixed infection was significantly lower across a wide age range of ages compared to double mixed infection. Subgroup analysis demonstrated that no statistical difference in age groups and types of mixed infection. This result suggested that triple mixed infection can occur in both patients aged ≤ 5 years and > 5 years. However, a limited number of articles have reported on age and susceptibility to triple mixed infection. The included study by Camargo-Ayala et al. showed that patients tend to have a risk of triple mixed infection at an age range of 18–60 years than at ≤ 5 or 5–18 years, whereas patients tend to have a risk of double infection at age range greater than 60 years than at ≤ 5, 5–18 and 18–60 years [5]. However, small sample sizes of the triple and dual mixed infection were calculated for the risk estimate in the same study. Therefore, the association between age and different types of mixed infection (double and triple infection) should be analysed in further observational studies using the research gap in age and type of mixed infection.
The study demonstrated that vomiting and the intense brown colour of urine were associated with triple mixed infection. Regarding the geographical region analysed, triple mixed infection was mostly found at the Loretoyacu River in the Colombian Amazon region [5]. The high prevalence of triple mixed infection at the Loretoyacu River may be due to the occurrence of the mosquito Anopheles maculatus, which can serve as a single vector for P. falciparum/P. vivax/P. malariae [5]. Triple species infection of P. falciparum and P. malariae, followed by P. ovale delayed infection, were also observed in two adopted children from the Central African Republic and may be attributed to late therapeutic failure or the relatively insufficient dosage due to increased oral clearance of atovaquone in paediatric patients [37].
The subgroup analysis demonstrated that the proportion of triple mixed infection was the highest in Oceania (23%) and Europe (21%) but the lowest in America. A previous study indicated that, in Oceania, where intense transmission occurs in very small focal forests or forest fringe areas, mixed infection are common but require submicroscopic detection [9]. Malaria disease in Europe has been mostly eradicated, but the increase in the number of imported malaria due to tourism, as well as population migration, resulted in increased mortality, from 3.8 to 20% [38]. These imported cases have increased the number of malaria cases in places where its transmission was low or previously eradicated, such as in Europe [39].
Knowledge about mixed infection is important not only to develop appropriate control measures but also for therapeutic options. For example, if P. vivax infection is suppressed by mixed infection with P. falciparum, effective control of P. falciparum infection in an area will activate P. vivax transmission in the community, a condition that is more difficult to control [17]. The present study was limited by the heterogeneity of the included studies and should be interpreted cautiously. Thus, the findings of the present study might not necessarily apply to all co-endemic regions. The present study could not extract the age of patients with triple mixed infection due to the lack of data reported in the included studies. Moreover, the clinical data, laboratory data, and treatment data of individual patients with triple mixed infection were also unavailable to extract. These data should be included and declared in malaria studies for its apparent value in cases of review and meta-analyses. Future meta-analyses should assess the cases reported or case series to provide a greater understanding of the factors associated with triple mixed infection.
Conclusion
In summary, although mixed infection was recognized, the prevalence of triple mixed infection was high (4%). The proportion of triple mixed infection was the highest in Oceania and Europe but lower in America. Compared with the proportion of double mixed infection, triple mixed infection was higher in residents (20%) than in febrile patients (7%). The findings suggested that in some regions, co-endemic for triple mixed infection, PCR, or molecular diagnosis for all residents in communities where malaria is endemic can provide prevalence data and intervention measures, as well as prevent disease transmissions and enhance malaria elimination efforts.
Supplementary information
Acknowledgements
The authors would like to acknowledge all of the published research that contributed to the data used in this study.
Abbreviations
- CI
Confidence interval
- DNA
Deoxyribonucleic acid
- NOS
Newcastle–Ottawa Scale
- OR
Odds ratio
- PCR
Polymerase chain reaction
- PRISMA
Preferred reporting items for systematic reviews and meta-analyses
- RDT
Rapid diagnostic test
- WHO
World Health Organization
Authors’ contributions
MK and KUK participated in the study design, data analysis, and writing of the paper. GDM and FRM participated in the writing of the paper. All authors read and approved the final manuscript.
Funding
This research was partially supported by the new strategic research (P2P) project, Walailak University, Thailand. The funders had a role in the collection, analysis, and interpretation of the data.
Availability of data and materials
The datasets used during the current study are available without restriction.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that there is no conflict of interest regarding the publication of this article.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12936-020-03292-8.
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Supplementary Materials
Data Availability Statement
The datasets used during the current study are available without restriction.