Literature DB >> 23777546

Haemoglobin dynamics in Papuan and non-Papuan adults in northeast Papua, Indonesia, with acute, uncomplicated vivax or falciparum malaria.

Walter R J Taylor1, Hendra Widjaja, Hasan Basri, Emiliana Tjitra, Colin Ohrt, Taufik Taufik, Samuel Baso, Stephen L Hoffman, Thomas L Richie.   

Abstract

BACKGROUND: Haemoglobin (Hb) recovers slowly in malaria and may be influenced by naturally acquired immunity. Hb recovery was compared in malaria immune, indigenous Papuan and non-Papuan adults with limited malaria exposure.
METHODS: Hb concentrations were measured on Days (D) 0, 3, 7, and 28 in 57 Papuans and 105 non-Papuans treated with chloroquine, doxycycline or both drugs for acute, uncomplicated Plasmodium vivax (n = 64) or Plasmodium falciparum (n = 98).
RESULTS: Mean (SD, range) D0 Hb was 12.7 (2.2, 7–21.3) g/dL and was similar in P. falciparum infected Papuans and non-Papuans: 12.2 vs. 12.8 g/dL (P = 0.15) but significantly lower in: (i) P. vivax-infected Papuans vs. P. vivax-infected non-Papuans: 11.4 vs. 13.47 g/dL [Δ = −2.07 (95% CI: –3.3 – –0.8), P = 0.0018], (ii) all patients with splenomegaly (vs. those without splenomegaly): 12.16 vs. 13.01 g/dL [Δ = −0.85 (−1.6– –0.085), P = 0.029], and (iii) all females vs. all males: 10.18 vs. 13.01 g/dL [Δ = −2.82 (−3.97 – –1.67), P < 0.0001].Multiple regression identified female sex (P = 0.000), longer illness duration (P = 0.015) (P. falciparum patients) and Papuan ethnicity (P = 0.017) (P. vivax patients) as significant factors for a lower D0 Hb. Mean D28 Hb increased to 13.6 g/dL [Δ = 1.01 (0.5-1.5) vs. D0 Hb, P = 0.0001]. It was: (i) positively correlated with the D0 Hb (adjusted R2 = 0.24, P = 0.000), and was significantly lower in P. vivax infected Papuans vs. non-Papuans: 12.71 vs. 14.46 g/dL [Δ = −1.7 (−2.95– –0.5, P = 0.006).
CONCLUSIONS: Haemoglobin recovery was related to baseline Hb. Vivax-infected malaria immune Papuans had persistently lower Hb concentrations compared to non-Papuans with limited malaria exposure. This haematological disadvantage remains unexplained.

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Year:  2013        PMID: 23777546      PMCID: PMC3691772          DOI: 10.1186/1475-2875-12-209

Source DB:  PubMed          Journal:  Malar J        ISSN: 1475-2875            Impact factor:   2.979


Background

Malaria-associated anaemia is common and occurs in acute symptomatic infections, severe malaria, chronic asymptomatic infections, and inadequately treated or resistant infections [1-3]. Concomitant hookworm infestation, micronutrient deficiency, inherited blood disorders, and HIV compound the anaemic effects of malaria [4,5]. The main pathophysiological mechanisms in malaria related anaemia are the splenic removal of red cells, bone marrow suppression and dyserythropoesis, and acute haemolytic anaemia (AHA) [1,6]. AHA may occur when parasitized red blood cells (PRBCs) are destroyed by the developing parasite and is potentially greater in Plasmodium falciparum because red blood cells of all ages are invaded and parasitaemia is high. Plasmodium vivax produces a low parasitaemia and invades only reticulocytes [7]. Malaria or drug-induced oxidant stress in patients with glucose-6-phosphate dehydrogenase deficiency may also produce AHA [8,9]. PRBCs and non-parasitized red blood cells (NPRBCs) are removed from the circulation but NPRBCs contribute much more to anaemia and this differs between the species. An estimated 34 NPRBCs in P. vivax[10] and eight NPRBCs in P. falciparum[2,11] are removed from the circulation for one PRBC. The splenic threshold for removing red cells is lowered in falciparum malaria [12] and splenic removal is directly related to spleen size [1,13]. Immune related changes to red cells results in their recognition and phagocytosis by activated monocytes and macrophages whilst others are trapped and destroyed in the splenic sinusoids [1,14]. In P. falciparum, NPRBCs and PRBCs have reduced deformability, making splenic trapping easier whilst, because of their increased size, vivax PRBCs have increased deformability but increased fragility, so splenic destruction is more likely [15-17]. The spleen also removes vivax (K. Chotivanich, unpublished data) and falciparum parasites from red cells and returns the deparasitized red cells back to the circulation, a process called pitting [13,18]; pitted RBCs cells also have reduced survival [19]. Depressed bone marrow function and dyserythropoesis result in reduced red cell genesis and reticulocytaemia and poor bone marrow iron utilization is documented in P. falciparum despite adequate bone marrow stores [20]. Bone marrow changes may be related to cytokine imbalances in favour of raised TNF [21,22], the toxic effects of haemozoin [23], a blunted response to erythropoietin [24] and relative under-production of erythropoietin in adults [25]. With effective anti-malarial treatment, the mean haemoglobin (Hb) falls initially, reaching a nadir on Day 3 or Day 7 (most studies have collected data on these days only) and rises thereafter to stabilize at six weeks [2,26-28]. Reticulocytes increase and peak after 1 to 2 weeks [24,29], but the bone marrow may still be abnormal after three weeks [1,20]. Naturally acquired immunity to malaria (NAI) plays a role in limiting malaria-associated anaemia. In African children, the prevalence of anaemia, geometric mean parasite densities, and risk of fever with P. falciparum decrease with increasing age [30,31]. Consistent findings come from northeast Papua where, after approximately two years of intense malaria exposure, malaria naïve non-Papuan adults have similar malariometric indices (malaria prevalence rates, parasite densities, and malaria associated symptoms) as indigenous adult Papuans for P. falciparum but not for P. vivax. These data suggest the non-Papuan adults had acquired less protective immunity against P. vivax compared to P. falciparum[32,33]. There is a paucity of data on Hb dynamics and malaria-associated anaemia from NE Papua. Herein, a post hoc analysis of the Hb changes between malaria-immune, indigenous Papuans and non-Papuans from other parts of Indonesia with limited malaria exposure is reported.

Methods

The study took place from October 1995 to January 1998 at the Rumah Sakit Umum (RSU), a public hospital in Jayapura, the capital of Papua Province, Indonesia’s most eastern province. Located on the northeast coast of Papua, Jayapura has low rates of malaria transmission but the surrounding lowland area is characterized by intense malaria transmission. Local malariometric data, study conduct and changes in the white blood cell and platelet counts in the same study patients have been detailed elsewhere [34-36]. Briefly, routine haematological parameters (Hb, total white cell and platelet counts) were measured and malaria films taken on Days (D) 0, 3, 7, and 28 during a trial of patients with acute symptomatic, uncomplicated vivax and falciparum malaria who were treated with either chloroquine (C) alone, chloroquine plus doxycycline (CD), or doxycycline (Dox) alone. Parasite densities (N/μL) were calculated using the measured total white blood cell counts or assumed to be 8000/μL, if the white blood cell count was missing. Double entered and validated data (Epi Info 6.04b, Centers for Disease Control and Prevention, Atlanta, GA, USA) were analysed using Stata v8 (Stata Corporation, USA). Continuous data were compared by ‘t’ test or one way ANOVA or the corresponding non-parametric tests, as appropriate. The relationship between two continuous variables was assessed by Pearson’s correlation coefficient (r) and coefficient of determination (R2) for normally distributed data or by Spearman Rho (skewed data). Proportions were compared by Chi-squared test or Fisher’s exact test. Backward stepwise multiple regression was performed to assess the independence of variables on the Hb concentrations; adjusted (a) R2 values are reported. Written, informed consent was obtained from all patients. The study was conducted according to the Indonesian Ministry of Health, the Indonesian Navy, the United States Navy and US Army regulations governing the protection of human subjects.

Definitions

Anaemia of any degree was defined as Hb concentrations of <13 and?anaemia as Hb?Iron deficiency anaemia: assessment, prevention and control: a guide for programme managers. 2001 ">37]. The mean total malaria attributable fall in Hb following treatment (MAFt) was defined as the difference between the mean D28 Hb in those successfully treated (i.e. patients without parasites on D28, Hb28wp) and the mean nadir Hb concentration which, in this study, was Day 3 for both species combined (Figure 1) and for each species (Figure 2). The mean malaria attributable fall in Hb before treatment (MAFbt) was defined as the mean Hb28wp minus the mean D0 Hb (Figure 1). The relative MAFt (MAFtrel) was expressed as a percentage of the baseline Hb.
Figure 1

The mean haemoglobin concentrations at Day 0 and during following up, illustrating the total malaria attributable fall in haemoglobin (MAFt) and the malaria attributable haemoglobin fall before treatment (MAFbt).

Figure 2

Haemoglobin dynamics for all falciparum and all the vivax-infected patients.

The mean haemoglobin concentrations at Day 0 and during following up, illustrating the total malaria attributable fall in haemoglobin (MAFt) and the malaria attributable haemoglobin fall before treatment (MAFbt). Haemoglobin dynamics for all falciparum and all the vivax-infected patients.

Results

General characteristics

A total of 162 adult patients (Papuans?=?57, non-Papuans?=?105) were recruited: Plasmodium vivax (n?=?63), P. falciparum (n?=?89), and mixed infections (n?=?10). These were reclassified as P. falciparum (n?=?9) and P. vivax (n?=?1) based on which of the two species had the higher parasitaemia. Males and females numbered 146 (15–44 years) and 16 (15-33y), respectively. Compared to the non-Papuans, the Papuans had a significantly longer: (i) median residential time, (ii) median time since the preceding episode of clinical malaria, (iii) duration of current illness, (iv) a higher spleen rate (by palpation), (v) a lower median vivax parasitaemia, and (vi) a higher rate of anaemia (Table 1).
Table 1

Demographic, clinical and laboratory characteristics of the Papuan and non-Papuan study subjects at disease presentation

 
Papuans
Non Papuans
P
 n=57n=105 
Age
22 (15–39)
24 (15–44)
0.0028
Male: Female
48 : 9
98 : 7
0.063
Residence in years
21.5 (15–39) y
3 (2m to 24) y
0.000
Previous clinical malaria*†
2 (0–16)
3 (0–11)
0.15
Time since last malaria attack*
14w (8w-17m)
9w (6w-5.6m)
0.043
Duration of illness in days
4 (1–30)
2 (1–30)
0.0003
Temperature
38 (36.5-41)
38.6 (36.1-41.3)
0.1
Splenomegaly
26 (45.6%)
27 (25.7%)
0.01
Anaemia§
34/52 (65.4%)
36/100 (36%)
0.001
Moderate anaemia|
16/52 (30.8%)
20/100 (20%)
0.138
P. falciparum parasitaemia
3,007(20–64,998)
2,346 (38–74,432)
0.76
P. vivax parasitaemia703 (55–9920)2,592 (54–14124)0.034

Continuous data are median (range) unless otherwise stated.

* number of previous malaria episodes by history.

† median (range).

§ Anaemia = haemoglobin?

|Moderate anaemia = haemoglobin?

‡ median (range).

Demographic, clinical and laboratory characteristics of the Papuan and non-Papuan study subjects at disease presentation Continuous data are median (range) unless otherwise stated. * number of previous malaria episodes by history. † median (range). § Anaemia = haemoglobin? |Moderate anaemia = haemoglobin? ‡ median (range).

Day 0 haemoglobin

Hb0 data were available for 152 patients. The mean (SD, range) D0 Hb concentration was 12.7 (2.2, 7–21.3) g/dL and was similar between the two species: P. vivax 12.9 (2.4) g/dL vs. P. falciparum 12.6 (2.1) g/dL (P?=?0.35). Significantly lower mean D0 Hb concentrations (Table 2) were found in: (i) vivax-infected Papuans vs. non-Papuans, (ii) all patients with splenomegaly (n?=?47): 12.16 vs. 13.01 g/dL (without splenomegaly, n?=?105): ∆?=?−0.85 (−1.6 – –0.085), P?=?0.029, and (iii) all females (n?=?14) 10.18 vs. 13.01 g/dL (males, n?=?138): [∆?=?−2.82 (−3.97 – –1.67), P?
Table 2

Mean haemoglobin (standard deviation) and mean haemoglobin changes at follow up in Papuan and non-Papuan adults following treatment for or . malaria

 PapuansNNon PapuansNP
Day 0
 
 
 
 
 
Hb
11.85 (1.88)
57
13.5 (2.27)
105
0.009
Males
12.27 (0.26)
44
13.35 (0.22)
94
0.005
Hb falciparum
12.16 (1.97)
36
12.94 (2.18)
53
0.1
Hb vivax
11.4 (1.59)
16
13.47 (2.35)
47
0.001
Day 3
 
 
 
 
 
Hb
11.93 (2.02)
46
12.86 (1.73)
90
0.006
Hb falciparum
12.14 (2.12)
31
12.65 (1.83)
47
0.26
Hb vivax
11.5 (1.78)
15
13.09 (1.61)
43
0.0024
∆ Hb3 Hb0
−0.03 (−0.31 to?+?0.24)
46
−0.27 (−0.63 to?+?0.09)
90
0.39
∆ Hb3 Hb0 falciparum
– 0.11 (−0.48 to?+?0.25)
31
−0.17 (−0.6 to?+?0.26)
47
0.85
∆ Hb3 Hb0 vivax
0.12 (−0.28 to?+?0.53)
15
−0.38 (−0.99 to?+?0.29)
43
0.33
Day 7
 
 
 
 
 
Hb
12.2 (1.95)
43
12.8 (1.76)
83
0.1
Hb falciparum
12.28 (2.07)
29
12.3 (1.71)
40
0.96
Hb vivax
12.06 (1.75)
14
13.21 (1.71)
43
0.035
∆ Hb7 Hb0
0.31 (−0.05 to?+?0.68)
42
−0.23 (−0.71 to?+?0.12)
83
0.059
∆ Hb7 Hb0 falciparum
0.17 (−0.28 to?+?0.64)
28
−0.44 (−0.09 to +0.96)
40
0.09
∆ Hb7 Hb0 vivax
0.56 (−0.07 to?+?1.26)
14
−0.17 (−0.49 to +0.82)
43
0.2
Day 28
 
 
 
 
 
Hb
13.07 (2.03)
27
13.9 (1.49)
47
0.038
Hb falciparum
13.23 (2.15)
19
13.49 (1.54)
25
0.64
Hb vivax
12.71 (1.79)
8
14.46 (1.28)
22
0.006
∆ Hb28 Hb0
1.15 (0.55 to 1.76)
26
0.94 (0.25 to 1.63)
47
0.66
∆ Hb28 Hb0 falciparum
1.06 (0.23 to 1.9)
18
1.2 (0.3 to 2.1)
25
0.82
∆ Hb28 Hb0 vivax1.36 (0.46 to 2.26)80.64 (−0.48 to 1.75)220.44
Mean haemoglobin (standard deviation) and mean haemoglobin changes at follow up in Papuan and non-Papuan adults following treatment for or . malaria There was a weak negative relationship between illness duration and D0 Hb (R2?=?0.04) and no correlation between the D0 Hb and parasitaemias of both species (P?=?0.77, P?=?0.54). Multiple regression of the falciparum-infected patients identified female sex (P?=?0.000) and illness duration (P?=?0.015) as significant factors for a lower D0 Hb. In the vivax-infected patients, being Papuan (P?=?0.017) was the only significant variable; it was also associated with a lower D0 Hb.

Haemoglobin dynamics

For all patients combined, the mean Hb concentration fell to nadir on Day 3: -0.19 (−9.4 - 4.2) g/dL [≡ −0.55 (−44.1 - 44.7) %]; this fall was inversely related to baseline Hb (P?=?0.000, Additional file 1). By contrast, patients with baseline moderate anaemia had an initial rise on mean Hb (0.58 (−1.2 – 4.2) g/dL on D3) that was sustained to D28 (Figure 3).
Figure 3

Haemoglobin dynamics for all patients combined as a function of baseline moderate anaemia (Hb <11 g/dL).

Haemoglobin dynamics for all patients combined as a function of baseline moderate anaemia (Hb <11 g/dL). For all patients combined, Hb dynamics were similar between the species (Figure 2), the falciparum infected Papuans (Figure 4), and the three drug arms (Additional file 2). The vivax-infected Papuans had a small mean rise in Hb by D3 (not significantly different to the small increase in the non-Papuans, P?=?0.33) but had significantly lower mean Hb concentrations on D3-28 compared to the non-Papuans with P. vivax (Table 2 and Figure 5).
Figure 4

Haemoglobin dynamics in the falciparum infected Papuans and non-Papuans.

Figure 5

Haemoglobin dynamics in the vivax-infected Papuans and non-Papuans. The mean haemoglobin concentrations were significantly lower in the Papuans at each time point (P?≤?0.035), despite overlapping 95% confidence intervals.

Haemoglobin dynamics in the falciparum infected Papuans and non-Papuans. Haemoglobin dynamics in the vivax-infected Papuans and non-Papuans. The mean haemoglobin concentrations were significantly lower in the Papuans at each time point (P?≤?0.035), despite overlapping 95% confidence intervals. By D28, the mean Hb (n?=?74 patients) had risen significantly (P?=?0.0001) to 13.6 g/dL and there was a corresponding fall (P?patients to 29.73% (22/74) vs. baseline. The D28 Hb concentration was best explained by the D0 Hb concentration and sex (multiple regression): aR2?=?0.32 (P?=?0.001); removing sex from the model resulted in an aR2?=?0.24 for D0 Hb.

Malaria attributable fall in haemoglobin

On Day 28, there were 65 patients who were parasite negative and had paired Hb3 and Hb28 data; their mean D28 Hb was 13.74 (SD 1.7, range 9.9-18.1) g/dL. The mean (range) MAFt and MAFtrel values were 1.41 (−1 - 5.6) g/dL and 12.3 (−8.5 - 62) %, respectively. The mean MAFbt was 1.07 (−7.9 -6.2) g/dL, representing 75.8% (1.07/1.41) of the MAFt. MAFt and MAFtrel gave essentially the same results in all analyses so MAFtrel results are reported hereafter. In bivariate analyses, MAFtrel was significantly: (i) negatively correlated with the D0 Hb (Pearson’s coefficient?=?−2.8, P?=?0.0001), (ii) positively correlated with illness duration (P?=?0.0005), (iii) higher (P?=?0.0005) in patients with D0 moderate anaemia (n?=?16) vs. those without moderate anaemia (n?=?49): 23.3% vs. 6.6% (these %s correspond to MAFt concentrations of 1.9 vs. 0.9 g/L, (iv) higher (P?=?0.0067) in patients with splenomegaly (n?=?24) vs. those without splenomegaly (n?=?41): 18.2% vs. 8.8% (MAFt concentrations of 2.03 vs. 1.05 g/L). Non-significant MAFtrel factors included: (i) ethnicity: Papuan 10.9% vs. non-Papuan 13.1% (P?=?0.53), (ii) drug treatment (P?=?0.53): 7.3% (C) vs. 12.6% (CD) vs. 13.7% (Dox), and sex (P?=?0.36): 16.8% (female) vs. 11.7% (male). Multivariate analysis in the falciparum infected patients (aR2?=?0.47), identified four significant variables: Papuan ethnicity and D0 Hb were inversely correlated whilst illness duration and splenomegaly were positively correlated (Table 3). There were no explanatory variables in vivax patients (aR2?=?0).
Table 3

Multivariate analyses showing significant factors associated with the total malaria attributable fraction relative to the baseline haemoglobin in falciparum infected patients

Independent variableCoefficient95% CIsP
Papuan ethnicity*
−6.41
−12.73 – –0.099
0.047
Day 0 haemoglobin
−3.37
−4.95 – –1.79
0.000
Day 0 splenomegaly*
6.69
0.17 – 13.21
0.045
Illness duration§
0.71
0.073 – 1.34
0.030
Constant49.5329.02 – 70.040.000

No factors were identified in the vivax infected patients.

* dichotomous variable (present yes / no).

† Continuous variable measured in g/dL.

§ measured in days.

Multivariate analyses showing significant factors associated with the total malaria attributable fraction relative to the baseline haemoglobin in falciparum infected patients No factors were identified in the vivax infected patients. * dichotomous variable (present yes / no). † Continuous variable measured in g/dL. § measured in days.

Discussion

This study has shown that, for all patients and when stratified by infecting species, haematological recovery was characterized by an initial fall in the mean Hb, followed by a rise, consistent with previous studies of falciparum and vivax malaria [2,38]. By contrast, patients with moderate anaemia had an initial rise in mean Hb, suggesting they had longer illness durations, had reached their nadir Hb at presentation and were “primed” to respond to anti-malarial treatment. For all patients, the initial fall in mean Hb was modest, ~0.2 g/dL (~0.5% vs. D0 Hb), and was inversely related to the baseline Hb. The subsequent increase in mean Hb, measured by the MAFt, was 1.4 g/dL; this figure compares favourably to the ~1.2 g/dL and ~1.1 g/dL in falciparum-infected patients of all ages from western Thailand [2] and Laotian adults [28], respectively, whose follow up was longer (42 days). The MAFtrel was used in these analyses as it might be better than the MAFt as marker of Hb recovery because it takes into account the baseline Hb. No independent factors were identified to explain the MAFtrel in the vivax patients, suggesting inadequate patient numbers. For the falciparum patients, a higher MAFtrel was associated with a lower D0 Hb, a longer illness duration and splenomegaly whereas a lower MAFtrel was associated with being Papuan; these four factors accounted for just under half of the variance of the MAFtrel. Interestingly, ethnicity was not significant in the bivariate analysis and when excluded from the multivariate analysis, the model was less good. Given that the falciparum infected Papuans had similar Hb dynamics as the non-Papuans; these statistical findings regarding the Papuans should be interpreted cautiously. Longer illness duration and splenomegaly are factors associated with a lower D0 Hb which in turn is a stimulus for increased erythropoietin production. Thus, with treatment, the bone marrow response may be more robust as the suppressing effects of cytokines and haemozoin on it are reduced and as spleen size reduces, so red cell survival increases [1,22-24]. Although the bone marrow response appears more robust in patents with a lower baseline Hb, they did not “catch up” with the non-anaemic patients by study end. Furthermore, the D28 and D0 Hbs correlated positively (the latter explained ~25% of the D28 Hb variance). Therefore, “if you start low, you finish low”, despite better MAFtrel values. Longer follow up would have given data on recovery times for the anaemic patients and may have shown, like Price et al. in Karen children and adults, that anaemic patient recover more slowly than those without anaemia [2]. Moderate anaemia (<11 g/dL) was common (~23%) at presentation and is in broad agreement with 18% found in the Karen, using a haematocrit <30% [2]. Factors associated with anaemia in the Karen were with age <5, splenomegaly, hepatomegaly, female sex, and prolonged illness, overlapping with some of the findings in the Papuan and non-Papuan adults. The roles of ethnicity and NAI in the epidemiological context of NE Papuan are interesting questions. Data from this study suggest that the Papuans were haematologically disadvantaged when infected with P. vivax; they had persistently lower mean Hb concentrations post treatment compared to the non-Papuans. The indigenous Papuans had greater malaria exposure, because of their longer residence in Papua, suggesting that there may have been differences in NAI between the two groups. Data from this area show there is divergence in the acquisition of NAI for the two main malaria species. NAI to P. falciparum develops after approximately two years of intense transmission in newly arriving non-Papuans [32,33]. The median residence time for non-Papuans in this study was 3 years; thus, half or more of them probably had similar degrees of NAI to P. falciparum as the Papuans. Similar degrees of NAI against P. falciparum probably explain the similar baseline parasitaemia and mean Hb concentrations from baseline to D28 despite the initial fall in mean Hb for the non-Papuans. By contrast, NAI to P. vivax takes longer to acquire and NAI was higher in the Papuans as evidenced by their significantly lower median, baseline vivax parasitaemia; however, their vivax related NAI was not haematologically beneficial. The Papuan haematological conundrum is unexplained and might represent host factors like G6PD deficiency, ovalocytosis, HIV, iron deficiency or pathophysiological factor/s unique to the Papuans that operate more in P. vivax infections, e.g. greater red cell fragility/splenic destruction, more cytokine induced bone marrow suppression, slower bone marrow recovery. These speculations underscore the lack of knowledge of the mechanisms of Hb dynamics in these two populations and call for further detailed investigation [39]. This study has several limitations. The analyses were supplementary to those of a small clinical trial of 162 adult patients and follow up was 28 days, two weeks before Hb stabilizes. By contrast, Price et al. analysed ~1,500 adults and children over 63 days [2]. The study herein reported was not designed a priori to detail the haematological responses; thus, key haematological parameters like the mean corpuscular volume, reticulocyte counts, iron metabolic parameters, G6PD status, presence of thalassaemia and ovalocytosis were not tested. Such data would be essential in a haematological investigation in ethnically diverse NE Papua. To conclude, this study has shown similar Hb dynamics between vivax and falciparum malaria but un explained differences between vivax-infected Papuans and non-Papuans.

Competing interest

None of the authors have a conflict of interest.

Authors’ contributions

CO conceived the original design. CO, WRJT, ET, SLH, TLR developed the protocol. WRJT, HW, HB, Taufik, ET, SB executed the study. WRJT analysed the data and wrote the first draft of the paper. TLR, SLH, CO, ET contributed significantly to revisions of the paper. All authors read and approved the final manuscript.

Additional file 1

The relationship between the absolute change in the initial fall (hbdiff30) in haemoglobin on Day 3 and the baseline haemoglobin concentration (hb0) in g/dL for the Papuans and non-Papuans combined. Click here for file

Additional file 2

Box plots of haemoglobin dynamics as a function of treatment arms in all patients with both species. C = chloroquine alone, CD = chloroquine plus doxycycline, Dox = doxycycline alone. Click here for file
  38 in total

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Authors:  A M Dondorp; M Nyanoti; P A Kager; S Mithwani; J Vreeken; K Marsh
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2.  Randomized comparison of chloroquine plus sulfadoxine-pyrimethamine versus artesunate plus mefloquine versus artemether-lumefantrine in the treatment of uncomplicated falciparum malaria in the Lao People's Democratic Republic.

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7.  Dynamic alteration in splenic function during acute falciparum malaria.

Authors:  S Looareesuwan; M Ho; Y Wattanagoon; N J White; D A Warrell; D Bunnag; T Harinasuta; D J Wyler
Journal:  N Engl J Med       Date:  1987-09-10       Impact factor: 91.245

8.  Prevalence of malaria in native and transmigrant populations. Effects of age and history of exposure.

Authors:  T R Jones; J K Baird; H Basri; E W Danudirgo
Journal:  Trop Geogr Med       Date:  1991 Jan-Apr

9.  Age-dependent acquired protection against Plasmodium falciparum in people having two years exposure to hyperendemic malaria.

Authors:  J K Baird; T R Jones; E W Danudirgo; B A Annis; M J Bangs; H Basri; S Masbar
Journal:  Am J Trop Med Hyg       Date:  1991-07       Impact factor: 2.345

10.  Anaemia and Plasmodium falciparum infections among young children in an holoendemic area, Bagamoyo, Tanzania.

Authors:  Z Premji; Y Hamisi; C Shiff; J Minjas; P Lubega; C Makwaya
Journal:  Acta Trop       Date:  1995-03       Impact factor: 3.112

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  8 in total

1.  Confirmed Plasmodium vivax Resistance to Chloroquine in Central Vietnam.

Authors:  Pham Vinh Thanh; Nguyen Van Hong; Nguyen Van Van; Melva Louisa; Kevin Baird; Nguyen Xuan Xa; Koen Peeters Grietens; Le Xuan Hung; Tran Thanh Duong; Anna Rosanas-Urgell; Niko Speybroeck; Umberto D'Alessandro; Annette Erhart
Journal:  Antimicrob Agents Chemother       Date:  2015-09-21       Impact factor: 5.191

2.  Influence of age on the haemoglobin concentration of malaria-infected patients in a reference centre in the Brazilian Amazon.

Authors:  Andre M Siqueira; Janieldo A Cavalcante; Shelia Vítor-Silva; Roberto C Reyes-Lecca; Aline C Alencar; Wuelton M Monteiro; Márcia A A Alexandre; Maria Paula G Mourão; Caterina Guinovart; Quique Bassat; Maria das Graças C Alecrim; Marcus V G Lacerda
Journal:  Mem Inst Oswaldo Cruz       Date:  2014-08-19       Impact factor: 2.743

3.  An optimised age-based dosing regimen for single low-dose primaquine for blocking malaria transmission in Cambodia.

Authors:  Rithea Leang; Naw Htee Khu; Mavuto Mukaka; Mark Debackere; Rupam Tripura; Soy Ty Kheang; Say Chy; Neeraj Kak; Philippe Buchy; Arnaud Tarantola; Didier Menard; Arantxa Roca-Felterer; Rick M Fairhurst; Sim Kheng; Sinoun Muth; Song Ngak; Arjen M Dondorp; Nicholas J White; Walter Robert John Taylor
Journal:  BMC Med       Date:  2016-10-27       Impact factor: 8.775

4.  Effectiveness and safety of intermittent preventive treatment for malaria using either dihydroartemisinin-piperaquine or artesunate-amodiaquine in reducing malaria related morbidities and improving cognitive ability in school-aged children in Tanzania: A study protocol for a controlled randomised trial.

Authors:  Geofrey Makenga; Vito Baraka; Filbert Francis; Swabra Nakato; Samwel Gesase; George Mtove; Rashid Madebe; Edna Kyaruzi; Daniel T R Minja; John P A Lusingu; Jean-Pierre Van Geertruyden
Journal:  Contemp Clin Trials Commun       Date:  2020-02-20

5.  The tolerability of single low dose primaquine in glucose-6-phosphate deficient and normal falciparum-infected Cambodians.

Authors:  Lek Dysoley; Saorin Kim; Sergio Lopes; Nimol Khim; Steven Bjorges; Samphornarann Top; Chea Huch; Huy Rekol; Nelli Westercamp; Mark M Fukuda; Jimee Hwang; Arantxa Roca-Feltrer; Mavuto Mukaka; Didier Menard; Walter R Taylor
Journal:  BMC Infect Dis       Date:  2019-03-12       Impact factor: 3.090

6.  Tolerability and safety of weekly primaquine against relapse of Plasmodium vivax in Cambodians with glucose-6-phosphate dehydrogenase deficiency.

Authors:  Sim Kheng; Sinoun Muth; Walter R J Taylor; Narann Tops; Khem Kosal; Khon Sothea; Phum Souy; Saorin Kim; Chuor Meng Char; Chan Vanna; Po Ly; Pascal Ringwald; Virak Khieu; Alexandra Kerleguer; Pety Tor; John K Baird; Steven Bjorge; Didier Menard; Eva Christophel
Journal:  BMC Med       Date:  2015-08-25       Impact factor: 8.775

7.  Hemolytic Dynamics of Weekly Primaquine Antirelapse Therapy Among Cambodians With Acute Plasmodium vivax Malaria With or Without Glucose-6-Phosphate Dehydrogenase Deficiency.

Authors:  Walter R J Taylor; Sim Kheng; Sinoun Muth; Pety Tor; Saorin Kim; Steven Bjorge; Narann Topps; Khem Kosal; Khon Sothea; Phum Souy; Chuor Meng Char; Chan Vanna; Po Ly; Virak Khieu; Eva Christophel; Alexandra Kerleguer; Antonella Pantaleo; Mavuto Mukaka; Didier Menard; J Kevin Baird
Journal:  J Infect Dis       Date:  2019-10-22       Impact factor: 5.226

Review 8.  Gametocyte carriage in uncomplicated Plasmodium falciparum malaria following treatment with artemisinin combination therapy: a systematic review and meta-analysis of individual patient data.

Authors: 
Journal:  BMC Med       Date:  2016-05-24       Impact factor: 8.775

  8 in total

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