Skip to content


Malaria Journal

Open Access

Challenges in diagnosing paediatric malaria in Dar es Salaam, Tanzania

  • Gro EA Strøm1, 2, 3Email author,
  • Christel G Haanshuus2,
  • Maulidi Fataki3, 4,
  • Nina Langeland1 and
  • Bjørn Blomberg1, 2
Malaria Journal201312:228

Received: 27 March 2013

Accepted: 28 June 2013

Published: 3 July 2013



Malaria is a major cause of paediatric morbidity and mortality. As no clinical features clearly differentiate malaria from other febrile illnesses, and malaria diagnosis is challenged by often lacking laboratory equipment and expertise, overdiagnosis and overtreatment is common.


Children admitted with fever at the general paediatric wards at Muhimbili National Hospital (MNH), Dar es Salaam, Tanzania from January to June 2009 were recruited consecutively and prospectively. Demographic and clinical features were registered. Routine thick blood smear microscopy at MNH was compared to results of subsequent thin blood smear microscopy, and rapid diagnostics tests (RDTs). Genus-specific PCR of Plasmodium mitochondrial DNA was performed on DNA extracted from whole blood and species-specific PCR was done on positive samples.


Among 304 included children, 62.6% had received anti-malarials during the last four weeks prior to admission and 65.1% during the hospital stay. Routine thick blood smears, research blood smears, PCR and RDT detected malaria in 13.2%, 6.6%, 25.0% and 13.5%, respectively. Positive routine microscopy was confirmed in only 43% (17/40), 45% (18/40) and 53% (21/40), by research microscopy, RDTs and PCR, respectively. Eighteen percent (56/304) had positive PCR but negative research microscopy. Reported low parasitaemia on routine microscopy was associated with negative research blood slide and PCR. RDT-positive cases were associated with signs of severe malaria. Palmar pallor, low haemoglobin and low platelet count were significantly associated with positive PCR, research microscopy and RDT.


The true morbidity attributable to malaria in the study population remains uncertain due to the discrepancies in results among the diagnostic methods. The current routine microscopy appears to result in overdiagnosis of malaria and, consequently, overuse of anti-malarials. Conversely, children with a false positive malaria diagnosis may die because they do not receive treatment for the true cause of their illness. RDTs appear to have the potential to improve routine diagnostics, but the clinical implication of the many RDT-negative, PCR-positive samples needs to be elucidated.


MalariaDiagnosticsPolymerase chain reactionBlood microscopyRapid diagnostic testTanzaniaPaediatricsFever


Malaria is a major cause of paediatric morbidity and mortality in many developing countries, particularly in sub-Saharan Africa[1, 2].

In many areas where malaria is endemic it is highly overdiagnosed[3]. Febrile illness can have many causes, especially in children, who are more susceptible to infections and who present with more diffuse symptoms than adults[4]. Differentiation of fever caused by malaria, septicaemia and other diseases is challenging due to similar clinical presentation and poor diagnostic facilities. Furthermore, there is increasing evidence that malaria predisposes for invasive bacterial disease, making this differentiation even more complex[5].

Overworked health-workers in understaffed institutions may contribute to the overdiagnosis and overtreatment of malaria[6, 7]. Furthermore, malaria remains a major diagnosis in febrile patients in many endemic areas, despite evidence from research studies of decreasing numbers of verifiable malaria cases[8]. Recent estimates suggest that malaria mortality in children under five years of age in Tanzania has dropped from 60,880 in 2000 to 26,606 in 2010[9].

Blood smear microscopy, the long-time gold standard for malaria diagnostics, is increasingly supplemented or replaced by rapid diagnostic tests (RDTs)[10]. Lack of trained and experienced personnel, poor microscopes and lack of staining reagents and other equipment can lead to unreliable microscopy results[6]. Studies done on the implementation of RDTs have shown promising results[11] and may contribute to reduce overtreatment of malaria and to halt the development of anti-malarial resistance[12].

Polymerase chain reaction (PCR) is a reliable technique for identifying malaria cases[13]. In some developed countries it has been tested as a routine diagnostic method[14], but it is generally only used in research and to confirm other laboratory findings.

With a diminishing number of cases and deaths attributable to malaria, the World Health Organization (WHO) recommends anti-malarial treatment to be based on laboratory results, when available, also in children[15]. The current study was performed to assess the morbidity and mortality attributable to malaria among febrile children admitted to Muhimbili National Hospital (MNH), and to compare malaria diagnostics by microscopy, RDT and PCR.


Study site and study population

Dar es Salaam is a major city located in a malaria-endemic area in coastal Tanzania, but may have lower rates of malaria transmission in its urban core[16]. MNH is a tertiary hospital receiving referrals from all over Tanzania as well as a large number of local patients. The predominant malaria species transmitted in the area is Plasmodium falciparum[17]. In mainland Tanzania there were 5,48 million presumed and confirmed cases of malaria in 2011[2]. The prevalence of malaria among children six months to five years of age in 2011–2012, irrespective of symptoms, was 3,6% by RDT and 0,3% by thick blood smear microscopy in the Dar es Salaam region[18].

Informed, written consent was obtained from the child’s parent or guardian by signature or thumbprint. Children between one month and seven years of age, for whom consent was obtained, were recruited consecutively from January to June 2009 at the paediatric wards A and B at MNH. Inclusion criteria were admission due to chief complaint of fever or measured fever (temperature ≥ 37.5°C, axilla) on admission[19]. A primary investigator recruited patients and collected samples and clinical data assisted by ward staff.

A research permit was obtained from the Tanzanian Commission for Science and Technology (COSTECH), and ethical clearance was received from the appropriate bodies at MUHAS and MNH and from the Regional Ethical Committee in Norway. The study was done in collaboration between MUHAS/MNH and the University of Bergen/Haukeland University Hospital, Norway.

Data collection

Upon admission, a thick blood smear was obtained from each child for routine malaria investigation at MNH. An additional thin blood smear was prepared, and stored for subsequent staining and assessment. A vial of venous blood with EDTA was collected from each child. As a part of hospital routine, a full blood cell count was performed on the EDTA-blood. The remaining content was stored at −20°C for ensuing DNA extraction. Blood slides and EDTA blood vials were transferred to the University of Bergen using the Material Transfer Agreement of Muhimbili University of Health and Allied Sciences (MUHAS) and the EDTA blood samples were kept frozen using dry ice during transport.

A case report form was completed for each child by questioning the parent/guardian and consulting the child′s medical file. Date of birth, gender, mother′s level of education, and whether the child was referred from another hospital, slept under a mosquito net at home, had permanent residence in Dar es Salaam, had known sickle cell disease, had convulsions, and how long the child had been ill, were recorded. Whether treatment with anti-malarials and antibiotics had been given and whether the child had travelled outside Dar es Salaam during the previous four weeks before admission were also documented. Upon admission, weight, axillar temperature, respiratory rate (tachypnea defined as ≥ 60/min if age < 2 months, ≥ 50/min if age two to eleven (<12) months, ≥ 40/min if age one to seven years[20]), pulse/heart rate (tachycardia defined as >160 beats/min if age <12 months, >120/min if age one to seven years[20]), spleno- and hepatomegaly, abdominal distention, jaundice, palmar pallor, and level of consciousness, were recorded for each child. The results of haematological parameters (haemoglobin (Hb), platelet count, erythrocyte count, leucocyte total and differential count), blood slide for malaria, and blood culture with species identification and antibacterial drug susceptibility testing were recorded, if done. Any treatment with antibiotics and anti-malarials during stay at the hospital, and length of hospital stay were recorded along with the outcome, dichotomized as dead or alive. Re-admissions during the study period were followed to observe final patient outcome.

Malaria detection using blood slides

Thick blood smears taken in routine malaria diagnostics at MNH were stained, with Fields stains A and B, and examined according to hospital routine. Parasitaemia of positive slides were quantified as number of parasites seen per 200 white blood cells. Parasitaemia measured as parasites per μl was calculated using the leucocyte count of each case.

Thin blood smears (research slides) were stained with Giemsa 5% for 20 min after 30-sec fixation with 100% methanol. One hundred high-power microscopic fields were examined before a slide was declared negative. Parasitaemia of positive slides was reported in percentage of infected red blood cells. To quantify parasites per μl, 1% parasitaemia was assumed to be 50,000 parasites per μl according to Hänscheid et al.[21]. All slides were examined once and a second experienced microscopist reviewed all slides with uncertain results. Both microscopists were blinded to PCR, RDT and routine thick smear microscopy results.

Malaria detection using PCR

DNA was extracted from 200 μl whole blood (venous blood collected in a vial with EDTA anti-coagulant) using QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany) as described by the manufacturer, and eluted in a final volume of 100 μl.

A genus-specific PCR targeting Plasmodium mitochondrial genome, as described by Haanshuus et al.[22], but with a primer concentration of 1 μM, was performed on DNA extracted from whole blood. Amplification was done using GeneAmp PCR System 9700 (Applied Biosystems, Carlsbad, CA, USA).

All samples positive by genus-specific PCR were analysed using a P. falciparum, Plasmodium vivax, Plasmodium ovale and Plasmodium malariae species-specific PCR protocol applying primers targeting 18S as previously published by Padley et al.[23]. A modified version of the protocol using four separate reaction mixtures was used, as described by Haanshuus et al.[22].

Analysis was done by electrophoresis using 2% SeaKem™ agarose gel (Lonza, Rockland, ME, USA) with 1X GelRed™ (Biotium, Hayward, CA, USA).

DNA sequencing in one direction, as described by Haanshuus et al.[22], was done on PCR products that were positive by genus-specific PCR but negative by species-specific PCR.

Malaria detection using RDT

Retrospectively, samples of remaining EDTA-blood stored at −20°C (from 258 of included patients) were tested with the RDT First Response Malaria Ag pLDH/HRP2 Combo card test following the manufacturer’s instructions. The test detects histidine-rich protein 2 (HRP2) for P. falciparum and lactate dehydrogenase (pLDH) for all species (PAN; P. falciparum, P. vivax, P. ovale and P. malariae) on two separate bands. This RDT has among the best panel detection scores for combo tests on the WHO Rapid Diagnostic Test Performance Round 4[24].

Statistical methods

Statistical analysis was done using IBM SPSS Statistics version 19 (SPSS Inc, IBM Company). Differences were reported as statistically significant if p-values were < 0.05. Categorical variables were assessed with the Chi-squared test or Fisher′s exact test for analyses with few observations. Odds ratio was calculated for each variable.

Multivariate analysis was performed to evaluate potential confounding among the clinical variables analysed as risk factors associated with a diagnosis of malaria by the various test methods. It was done by automated and manual backwards stepwise logistic regression on all variables obtaining P < 0.2 in the univariate analysis. The multivariate analysis for predictors of positive RDT excluded the following factors with extensive numbers of missing values: very low weight for age, referral from other hospital, no antibiotics within the previous four weeks, tachycardia for age, and no tachypnea for age.


Characteristics of participants

Among a total of 1,443 children admitted at the general paediatric wards during the study period, 469 fit the inclusion criteria and consented to participate. Among study subjects for whom consent was obtained, routine thick blood slide, research thin blood smear and EDTA-blood for PCR were obtained from 304 children, and these are the subjects included in the further analyses. Two-thirds of participants were referrals from other hospitals.

The mean age of the study participants was 22.1 months and 175 (57.6%) were males. Mean axillar temperature upon admission was 38.4°C. During hospital stay, 22.7% died. There was no significant association between fatal outcome and positive PCR (21.7% case fatality rate), research microscopy (4.3%) or RDT (10.3%) as shown in Additional file1. There was no significant difference in case fatality rates between PCR-positive cases that received anti-malarials and those that did not .

Within the four weeks prior to admission, 74.5% had received antibiotics and 62.6% had received anti-malarials, 83.8% of these had been treated with recommended anti-malarials (artemisinin combination therapy (ACT), or quinine). Children under 12 months of age were more likely to have received pre-treatment with anti-malarials than older children (p = 0.038). No significant association was found between pre-treatment with anti-malarials and PCR and microscopy results. During hospital admission, 65.1% received anti-malarial treatment and 96.1% received antibiotics.

Laboratory and clinical results

While 40/304 (13.2%) of the routine thick blood smears examined at MNH were positive, only 20/304 (6.6%) of the thin research blood smears were positive. Genus-specific PCR was positive for 76/304 (25.0%) patients. All PCR-positive samples were identified as P. falciparum by species-specific PCR (55) or DNA sequencing (21) and none as P. vivax, P. malariae or P. ovale.

Positive routine microscopy was confirmed in only 43% (17/40), 45% (18/40) and 53% (21/40), by research microscopy, RDTs and PCR, respectively. All 20 positive research thin blood smears were PCR-positive (Table 1).
Table 1

Concordance of PCR with routine and research microscopy and RDT results


Routine microscopy

Research microscopy



Pos (N = 40)

Neg (N = 264)

Pos (N = 20)

Neg (N = 284)

Pos (N = 36)

Neg (N = 222)


pos (%)

21 (52.5%)

55 (20.8%)

20 (100.0%)

56 (19.7%)

36 (100.0%)

32 (14.4%)


neg (%)

19 (47.5%)

209 (79.2%)

0 (0.0%)

228 (80.3%)

0 (0.0%)

190 (85.6%)

Abbreviation: pos positive, neg negative, PCR Polymerase chain reaction.

There were 17 patients that were positive both for routine and research blood slides, while three of the positive research slides were negative on routine microscopy. The average parasitaemia among all positive research slides was 3.03% infected red blood cells (RBCs) or 151,500 parasites/μl with all having > 0.1% infected RBCs or > 5,000 parasites/μl. For the routine slides the average parasitaemia was 355 parasites per 200 white blood cells or 19,044 parasites/μl. There was statistically significant association between high parasitaemia (>10,000 parasites/μl) on routine slides and both positivity on research slide and positivity on PCR (p < 0.001). Only one routine slide with high parasitaemia was negative by all other diagnostics methods while remaining false positive routine slides were reported as having low parasitaemia.

Of the 258 cases where RDTs were performed, 36 were positive. Both HRP2 (P. falciparum) and pLDH (PAN) was positive for 25 of these, ten were positive only for HRP2 and one was only pLDH-positive. Two tests were invalid (no control band), but were valid when repeated. Among those positive by routine microscopy, only half of them were also positive by RDT and most of these (17/18) were positive by both pLDH and HRP2. All those positive on research blood slides were positive for both pLDH and HRP2. Of those positive by RDT, all were also positive on species-specific PCR for P. falciparum. There was a significant association between signs of severe malaria (altered consciousness, severe anaemia, jaundice or respiratory distress) and positive RDT (p < 0.001). No significant association was found between positive PCR or positive research blood smear and signs of severe malaria. There was no significant association between high parasitaemia on routine or research blood smear and signs of severe malaria.

The sensitivities, specificities, number of false positives and false negatives are given in Additional file2. These values were calculated using the PCR result, research thin blood smear and RDT results separately as gold standards.

Comparisons with results of the mitochondrial PCR, which has a very high sensitivity[22], research microscopy and RDT results indicate that routine microscopy results in high numbers of false positives. Thus, the routine microscopy results were not included in further analysis of attributable morbidity and mortality.

Univariate analysis

Results of analysis comparing cases with positive research blood slide with cases with negative research blood slide, PCR-positive cases with PCR-negative cases, and cases with positive RDT with cases with negative RDT are shown in Additional file1. Levels of leucocytes, neutrophils, monocytes and lymphocytes were not significantly associated with positive PCR or research blood slide.

The cases only positive by PCR but with negative research blood slide examination are compared to cases positive by both PCR and research blood slide in Table 2.
Table 2

Univariate analysis of predictors of negative research blood slide among PCR positive cases


PCR pos only (%)

OR (95% CI)




  •Age > 12 months

34/52 (65.4)

0.18 (0.04 to 0.86)



29/41 (70.7)

0.72 (0.25 to 2.02)


•Very low weight for age

7/11 (63.6)

0.60 (0.15 to 2.33)


•Mothers education less than secondary school

48/64 (75.0)

1.50 (0.34 to 6.70)


•No mosquito net used

4/5 (80.0)

1.58 (0.17 to 15.19)


•Travel outside Dar last 4 weeks

21/30 (70.0)

0.84 (0.28 to 2.50)


•Home not in Dar

5/8 (62.5)

0.43 (0.09 to 2.10)


•Sickle cell disease

12/18 (66.7)

0.64 (0.20 to 2.01)


•Referral from other hospital

14/19 (73.7)

0.98 (0.30 to 3.22)




•No antibiotics the last 4 weeks

13/21 (61.9)

0.28 (0.09 to 0.94)


•No antimalarials the last 4 weeks

20/27 (74.1)

0.98 (0.33 to 2.95)




•Current illness ≤5 days

29/47 (61.7)

0.06 (0.01 to 0.50)


•Convulsions before admission

13/17 (76.5)

1.21 (0.34 to 4.26)


Clinical findings:


•Reduced conciousness

18/25 (72.0)

0.90 (0.31 to 2.65)


•Tachycardia, for age

22/27 (81.5)

2.12 (0.67 to 6.79)


•Tachypnea, for age

31/35 (88.6)

5.39 (1.59 to 18.28)


•Febrile (temp >37.5)

40/56 (71.4)

0.71 (0.20 to 2.50)


•Palmar pallor

40/57 (70.2)

0.21 (0.026 to 1.79)



13/15 (86.7)

2.72 (0.56 to 13.30)



9/12 (75.0)

1.09 (0.27 to 4.49)



24/33 (72.7)

0.91 (0.33 to 2.56)


•Abdominal distention

12/16 (75.0)

1.09 (0.31 to 3.88)


Laboratory findings:


•Low Hb (<9.0 g/dl)

43/61 (70.5)

0.37 (0.08 to 1.80)


•Platelets <100 x10 3 per mm 3

11/18 (61.1)

0.49 (0.16 to 1.51)


•Leucocytosis for age

19/21 (90.5)

4.62 (0.97 to 22.04)


Treatment in hospital:


•No antibiotic treatment in hospital

3/6 (50.0)

0.32 (0.06 to 1.74)


•Anti-malarial treatment in hospital

46/66 (69.7)



•Blood transfusion given

18/29 (62.1)

0.39 (0.14 to 1.10)




•Blood culture negative

11/15 (73.3)

0.79 (0.11 to 5.49)


•routine malaria slide positive

4/21 (19.0)

0.01 (<0.01 to 0.07)


•high parasitaemia (>10,000 parasites/ μl), routine slide

1/15 (6.7)

0.07 (0.01 to 0.95)


•Received diagnosis malaria

28/43 (65.1)

0.33 (0.11 to 1.04)


•Length of admission ≤5 days

33/44 (75.0)

1.17 (0.42 to 3.29)


•Died in hospital

12/15 (80.0)

1.55 (0.39 to 6.16)


Abbreviation: OR Odds ratio, 95% CI 95% Confidence interval, Dar Dar es Salaam, pos positive, PCR Polymerase chain reaction, Hb Haemoglobin. * significant results (p-value < 0.05).

Multivariate analysis

In the logistic regression model using PCR result as the outcome variable, the variables significantly associated with a positive result are shown in Additional file3, as are the results of the corresponding models performed with research blood slide results as outcome variable and RDT result as outcome variable. In the logistic regression model, no factors were significantly associated with only being PCR positive (but research slide negative) compared to those also research slide positive.

Palmar pallor, as reported by the clinicians, corresponded well to low haemoglobin levels with the same trend applying when analysing the PCR positive and the study blood smear positive cases separately (Figure 1).
Figure 1

Relation between palmar pallor and haemoglobin level. A. For all cases. B. Based on PCR results. C. Based on research slide results.

Death during hospital stay was significantly associated with reduced consciousness upon admission (p < 0.001), convulsions before admission (p = 0.027), lower age (p < 0.001), shorter hospital stay (p < 0.001), and hepatomegaly (p = 0.003). Sickle cell disease was significantly more frequent among those who survived compared to the children who died in hospital (p < 0.001).


The study assessed children admitted at MNH with febrile illness for malaria, and compared laboratory results to clinical and haematological features and clinical outcome.

Almost half of the cases identified by routine microscopy at the hospital were negative on research microscopy, RDT and PCR. The study thus confirms that routine malaria diagnosis leads to gross overdiagnosis of malaria, as was reported from other health facilities in Dar es Salaam in a previous study[25]. In both studies, false positive routine microscopy was associated with reported low parasitaemia. Conversely, the majority (85%, n = 17) of the samples positive on research microscopy were also positive on routine microscopy and these routine slides had a high average parasitaemia (>10,000 parasites/μl). This indicates that, despite the large problem with overdiagnosis, the routine thick-drop microscopy performs well in detecting malaria cases with high parasitaemia, which are those most likely to be severely ill and in need of urgent treatment. The fact that thick drop smears are more difficult to interpret because of lacking red cell morphology and many artefacts may partially explain the high rate of false positives[26].

The study confirmed that palmar pallor, low haemoglobin levels and low platelets are predictors for malaria[27, 28]. Anaemia is often a sensitive, though non-specific indicator of malaria in febrile children in malaria-endemic areas[29, 30], and the combination of anaemia and thrombocytopaenia has been shown to be fairly sensitive (80%) and specific (84%) in predicting malaria[29]. The study confirmed the usefulness of palmar pallor as a clinical sign of anaemia and severity of anaemia[31], and this clinical sign is particularly valuable in resource-constrained settings where laboratory testing for haemoglobin may not be available. Severe palmar pallor was particularly accurate in identifying severe anaemia with haemoglobin levels < 6.0 g/dl, which is associated with severe malaria[32].

PCR was positive in a fifth of patients with negative microscopy. The PCR method used in this study has nearly 100% sensitivity and specificity for the presence of malaria DNA[22] and all results were validated by species-specific PCR or DNA sequencing. PCR-positive patients may represent unidentified clinical malaria cases requiring anti-malarial treatment or low parasitaemia without clinical significance for example from partially or fully treated cases. The PCR targets the mitochondrial genome, which exists at a high copy number particularly in gametocytes due to an increased number of mitochondrial organelles in the parasite′s sexual stage[33], and may therefore detect low levels of persisting asexual parasites or gametocytes. Gametocytes may survive anti-malarial treatment with ACT and continue to circulate more than 28 days after completed treatment, without any clinical symptoms[34, 35]. Though reported pre-treatment with anti-malarials was not significantly associated with positive PCR for malaria, self-treatment with anti-malarials before seeking help from health services is so common practice that it may have influenced the results[36, 37]. Asymptomatic malaria, though less common in children than in adults, may cause positive PCR results in febrile children with other causes of fever than malaria, while microscopy might not detect this low level parasitemia[3840]. Younger children, in the current study, had an increased risk of discordant results with positive PCR and negative research blood slide, which can be explained by an observed higher rate of prior anti-malarial treatment. The clinical relevance of the positive PCR in microscopy-negative patients remains unclear. Thus, as it is not possible to identify a true gold standard for malaria in the current study, the true incidence of malaria in the population remains uncertain. The new recommendations from WHO in 2010 to only treat laboratory-confirmed malaria cases if laboratory diagnostics are available, rather than to treat all suspected paediatric cases with anti-malarials[15], has reemphasized the importance of precise diagnostics.

RDTs have shown promising results as an alternative to microscopy for malaria, though they have certain limitations especially due to the fact that RDTs detecting HRP2 can remain positive for up to 56 days after completed treatment[41]. Re-infections are difficult to identify, resulting in a low specificity of HRP2-detecting RDTs for true clinical infection. This challenge is highly relevant in the study area, which is located in a malaria endemic region. The other test antigen, pLDH, is cleared more quickly from the bloodstream at about the same time as the parasites are cleared. While rapid tests detecting pLDH are less sensitive than HRP2 tests[42], they have the advantage of also detecting other species of Plasmodium than P. falciparum. With implementation of a HRP2/pLDH RDT in the study area, some cases of non-falciparum malaria might go undetected. However, as P. falciparum dominates in the area and is the most dangerous of the Plasmodium species, RDTs are likely to be sensitive for the clinically most significant malaria cases. As most of the rapid tests were positive for both HRP2 and pLDH it can be assumed they were current P. falciparum cases. The one test that was only pLDH-positive was positive for P. falciparum on species-specific PCR and negative on the other species-specific PCRs and it can therefore be assumed to be a P. falciparum case despite the RDT result. The cases only positive for HRP2 may be cases with persisting HRP2 post-treatment or may be current infections as detection of pLDH is less sensitive than HRP2. Discordant, pLDH-negative / HRP2-positive, samples corresponded well to PCR-positive / microscopy-negative samples. This implies that malaria detected only on PCR may represent partially or fully treated cases of malaria of less clinical significance than samples detected by microscopy.

Positive RDT results, all confirmed by PCR, were associated with signs of severe malaria, while malaria cases diagnosed primarily by PCR or research blood slide microscopy were not. This may support the notion that the RDTs identify more relevant cases of malaria, confirming their usefulness in this clinical setting.

Studies have shown that with reduced use of anti-malarials due to better precision of malaria diagnostics, antibiotic use increases[43], and this may, in turn contribute to further emergence of antibiotic resistance[44]. In order to reduce overuse of drugs, improved diagnostics for malaria must been accompanied by better diagnostics for other infections.

The high case fatality rate of 22,7% among febrile children is striking and is likely due to transfer of many severely ill patients from district hospitals, and the fact that less severe cases were treated as outpatients and not included in the study. The similar case fatality rates between malaria positive and negative cases imply that there are other major causes of life-threatening febrile illness, such as bacteraemia, pneumonia, and meningitis in the study population. A previous study of febrile children at the same hospital observed a similarly high case fatality rate for malaria (20.2%), but still found that bacterial and fungal bloodstream infections caused more deaths than malaria[45]. The current study found a much lower case fatality rate among patients with positive research microscopy (4.3%) than those with positive PCR (20.7%). This might be explained by increased number of malaria deaths among untreated patients with false negative malaria microscopy. However, considering that a positive malaria PCR was not associated with clinical signs of severe malaria, the appropriate interpretation may be that a positive malaria-PCR in absence of other positive malaria tests indicates clinically non-significant malaria parasitaemia in a patient with another, potentially serious, infection.

Tachypnea, a feature of the systemic inflammatory response syndrome[46], was negatively associated with research microscopy-positive cases, but positively associated with discordant, PCR positive / microscopy negative, cases further suggesting that the real cause of the febrile illness in patients with discordant results is bacterial sepsis or other non-malarial infection.

The study area/population being an urban population with lower malaria transmission than the surrounding rural areas [9], may limit the applicability of the results to the general Tanzanian population. Both clinical and laboratory findings may be biased by the fact that many of the children had received prior treatment with antibiotics and anti-malarials and that two-thirds were referred from other hospitals or clinics. Since the study did not investigate systematically other causes of febrile illness, it is uncertain how many of the identified malaria cases had concomitant serious infections caused by bacteria or other agents.


The study indicates that the current routine diagnostic method, while efficient at detecting high malaria parasitaemia, leads to gross overdiagnosis of malaria and, consequently, overuse of anti-malarials. Overdiagnosis of malaria may hamper the identification and treatment of the real cause of the febrile illness and lead to death from bacterial sepsis and other infections. The diagnostic challenges understandably make clinicians opt to safeguard using both anti-malarials and antibacterial drugs, however, this has potential harmful consequences in terms of increasing emerging antibiotic and anti-malarial drug resistance. The current study supports the notion that diagnostic algorithms employing RDTs may contribute to improving malaria diagnosis and management.



Thanks to all the staff at paediatric wards at MNH for their assistance. Thank you to Sabrina Moyo for her help with coordinating fieldwork and editing the manuscript. Thanks to Lena Haugseth, Marit Gjerde Tellevik and Cecilie Isachsen for their technical support with laboratory work.

Authors’ Affiliations

Department of Clinical Science, University of Bergen, Bergen, Norway
National Centre for Tropical Infectious Diseases, Department of Medicine, Haukeland University Hospital, Bergen, Norway
Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
Muhimbili National Hospital, Dar es Salaam, Tanzania


  1. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, Rudan I, Campbell H, Cibulskis R, Li M, Mathers C, Black RE, Child Health Epidemiology Reference Group of WHO and UNICEF: Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012, 379: 2151-2161. 10.1016/S0140-6736(12)60560-1.View ArticlePubMedGoogle Scholar
  2. WHO: World Malaria Report 2012. 2012, Geneva: World Health OrganizationGoogle Scholar
  3. Reyburn H, Mbatia R, Drakeley C, Carneiro I, Mwakasungula E, Mwerinde O, Saganda K, Shao J, Kitua A, Olomi R, Greenwood BM, Whitty CJ: Overdiagnosis of malaria in patients with severe febrile illness in Tanzania: a prospective study. BMJ. 2004, 329: 1212-10.1136/bmj.38251.658229.55.PubMed CentralView ArticlePubMedGoogle Scholar
  4. Mwangi TW, Mohammed M, Dayo H, Snow RW, Marsh K: Clinical algorithms for malaria diagnosis lack utility among people of different age groups. Trop Med Int Health. 2005, 10: 530-536. 10.1111/j.1365-3156.2005.01439.x.PubMed CentralView ArticlePubMedGoogle Scholar
  5. Scott JA, Berkley JA, Mwangi I, Ochola L, Uyoga S, Macharia A, Ndila C, Lowe BS, Mwarumba S, Bauni E, Marsh K, Williams TN: Relation between falciparum malaria and bacteraemia in Kenyan children: a population-based, case–control study and a longitudinal study. Lancet. 2011, 378: 1316-1323. 10.1016/S0140-6736(11)60888-X.PubMed CentralView ArticlePubMedGoogle Scholar
  6. Derua YA, Ishengoma DR, Rwegoshora RT, Tenu F, Massaga JJ, Mboera LE, Magesa SM: Users’ and health service providers’ perception on quality of laboratory malaria diagnosis in Tanzania. Malar J. 2011, 10: 78-10.1186/1475-2875-10-78.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Rakotonirina H, Barnadas C, Raherijafy R, Andrianantenaina H, Ratsimbasoa A, Randrianasolo L, Jahevitra M, Andriantsoanirina V, Menard D: Accuracy and reliability of malaria diagnostic techniques for guiding febrile outpatient treatment in malaria-endemic countries. Am J Trop Med Hyg. 2008, 78: 217-221.PubMedGoogle Scholar
  8. Mmbando BP, Vestergaard LS, Kitua AY, Lemnge MM, Theander TG, Lusingu JP: A progressive declining in the burden of malaria in north-eastern Tanzania. Malar J. 2010, 9: 216-10.1186/1475-2875-9-216.PubMed CentralView ArticlePubMedGoogle Scholar
  9. Murray CJ, Rosenfeld LC, Lim SS, Andrews KG, Foreman KJ, Haring D, Fullman N, Naghavi M, Lozano R, Lopez AD: Global malaria mortality between 1980 and 2010: a systematic analysis. Lancet. 2012, 379: 413-431. 10.1016/S0140-6736(12)60034-8.View ArticlePubMedGoogle Scholar
  10. Ochola LB, Vounatsou P, Smith T, Mabaso ML, Newton CR: The reliability of diagnostic techniques in the diagnosis and management of malaria in the absence of a gold standard. Lancet Infect Dis. 2006, 6: 582-588. 10.1016/S1473-3099(06)70579-5.View ArticlePubMedGoogle Scholar
  11. d’Acremont V, Malila A, Swai N, Tillya R, Kahama-Maro J, Lengeler C, Genton B: Withholding antimalarials in febrile children who have a negative result for a rapid diagnostic test. Clin Infect Dis. 2010, 51: 506-511. 10.1086/655688.View ArticlePubMedGoogle Scholar
  12. O’Brien C, Henrich PP, Passi N, Fidock DA: Recent clinical and molecular insights into emerging artemisinin resistance in Plasmodium falciparum. Curr Opin Infect Dis. 2011, 24: 570-577. 10.1097/QCO.0b013e32834cd3ed.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Singh B, Bobogare A, Cox-Singh J, Snounou G, Abdullah MS, Rahman HA: A genus- and species-specific nested polymerase chain reaction malaria detection assay for epidemiologic studies. Am J Trop Med Hyg. 1999, 60: 687-692.PubMedGoogle Scholar
  14. Morassin B, Fabre R, Berry A, Magnaval JF: One year’s experience with the polymerase chain reaction as a routine method for the diagnosis of imported malaria. Am J Trop Med Hyg. 2002, 66: 503-508.PubMedGoogle Scholar
  15. WHO: Guidelines for the treatment of malaria. 2010, Geneva: World Health Organization, 2Google Scholar
  16. Wang SJ, Lengeler C, Mtasiwa D, Mshana T, Manane L, Maro G, Tanner M: Rapid Urban Malaria Appraisal (RUMA) II: epidemiology of urban malaria in Dar es Salaam (Tanzania). Malar J. 2006, 5: 28-10.1186/1475-2875-5-28.PubMed CentralView ArticlePubMedGoogle Scholar
  17. WHO: World Malaria Report 2011. 2011, Geneva: World Health OrganizationGoogle Scholar
  18. Tanzania Commission for AIDS (TACAIDS) ZACZ, National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF International: Tanzania HIV/AIDS and Malaria Indicator Survey 2011–2012. 2013, Dar es Salaam, Tanzania: TACAIDS, ZAC, NBS, OCGS, and ICF InternationalGoogle Scholar
  19. Unicef/WHO: Handbook: IMCI integrated management of childhood illness. 2006, Geneva: World Health OrganizationGoogle Scholar
  20. WHO: Pocket book of Hospital care for children. 2005, Geneva: World Health Organization PressGoogle Scholar
  21. Hanscheid T: Diagnosis of malaria: a review of alternatives to conventional microscopy. Clin Lab Haematol. 1999, 21: 235-245. 10.1046/j.1365-2257.1999.00220.x.View ArticlePubMedGoogle Scholar
  22. Haanshuus C, Mohn S, Morch K, Langeland N, Blomberg B, Hanevik K: A novel, single-amplification PCR targeting mitochondrial genome highly sensitive and specific in diagnosing malaria among returned travellers in Bergen, Norway. Malar J. 2013, 12: 26-10.1186/1475-2875-12-26.PubMed CentralView ArticlePubMedGoogle Scholar
  23. Padley D, Moody AH, Chiodini PL, Saldanha J: Use of a rapid, single-round, multiplex PCR to detect malarial parasites and identify the species present. Ann Trop Med Parasitol. 2003, 97: 131-137. 10.1179/000349803125002977.View ArticlePubMedGoogle Scholar
  24. WHO: Malaria Rapid Diagnostic Test Performances: results of WHO product testing of malaria RDTs: Round 4 (2012). 2012, Geneva: World Health OrganizationGoogle Scholar
  25. Kahama-Maro J, D’Acremont V, Mtasiwa D, Genton B, Lengeler C: Low quality of routine microscopy for malaria at different levels of the health system in Dar es Salaam. Malar J. 2011, 10: 332-10.1186/1475-2875-10-332.PubMed CentralView ArticlePubMedGoogle Scholar
  26. Chiodini PL, Moody AH: Techniques for the detection of malaria parasites. J R Soc Med. 1989, 82 (Suppl 17): 41-43.PubMed CentralPubMedGoogle Scholar
  27. Maina RN, Walsh D, Gaddy C, Hongo G, Waitumbi J, Otieno L, Jones D, Ogutu BR: Impact of Plasmodium falciparum infection on haematological parameters in children living in Western Kenya. Malar J. 2010, 9 (Suppl 3): S4-10.1186/1475-2875-9-S3-S4.PubMed CentralView ArticlePubMedGoogle Scholar
  28. Lacerda MV, Mourao MP, Coelho HC, Santos JB: Thrombocytopenia in malaria: who cares?. Mem Inst Oswaldo Cruz. 2011, 106 (Suppl 1): 52-63.View ArticlePubMedGoogle Scholar
  29. Menendez C, Fleming AF, Alonso PL: Malaria-related anaemia. Parasitol Today. 2000, 16: 469-476. 10.1016/S0169-4758(00)01774-9.View ArticlePubMedGoogle Scholar
  30. Premji Z, Hamisi Y, Shiff C, Minjas J, Lubega P, Makwaya C: Anaemia and Plasmodium falciparum infections among young children in an holoendemic area, Bagamoyo, Tanzania. Acta Trop. 1995, 59: 55-64. 10.1016/0001-706X(94)00079-G.View ArticlePubMedGoogle Scholar
  31. Zucker JR, Perkins BA, Jafari H, Otieno J, Obonyo C, Campbell CC: Clinical signs for the recognition of children with moderate or severe anaemia in western Kenya. Bull World Health Organ. 1997, 75 (Suppl 1): 97-102.PubMed CentralPubMedGoogle Scholar
  32. WHO: Management of the child with a serious infection or severe malnutrition: guidelines for care at the first-referral level in developing countries. 2000, Geneva: World Health OrganizationGoogle Scholar
  33. Krungkrai J: The multiple roles of the mitochondrion of the malarial parasite. Parasitology. 2004, 129 (Pt 5): 511-524.View ArticlePubMedGoogle Scholar
  34. Tjitra E, Suprianto S, McBroom J, Currie BJ, Anstey NM: Persistent ICT malaria P.f/P.v panmalarial and HRP2 antigen reactivity after treatment of Plasmodium falciparum malaria is associated with gametocytemia and results in false-positive diagnoses of Plasmodium vivax in convalescence. J Clin Microbiol. 2001, 39: 1025-1031. 10.1128/JCM.39.3.1025-1031.2001.PubMed CentralView ArticlePubMedGoogle Scholar
  35. Schneider P, Bousema T, Omar S, Gouagna L, Sawa P, Schallig H, Sauerwein R: (Sub)microscopic Plasmodium falciparum gametocytaemia in Kenyan children after treatment with sulphadoxine-pyrimethamine monotherapy or in combination with artesunate. Int J Parasitol. 2006, 36: 403-408. 10.1016/j.ijpara.2006.01.002.View ArticlePubMedGoogle Scholar
  36. McCombie SC: Treatment seeking for malaria: a review of recent research. Soc Sci Med. 1996, 43: 933-945. 10.1016/0277-9536(95)00446-7.View ArticlePubMedGoogle Scholar
  37. Hetzel M, Dillip A, Lengeler C, Obrist B, Msechu J, Makemba A, Mshana C, Schulze A, Mshinda H: Malaria treatment in the retail sector: Knowledge and practices of drug sellers in rural Tanzania. BMC Publ Health. 2008, 8: 157-10.1186/1471-2458-8-157.View ArticleGoogle Scholar
  38. Nkoghe D, Akue JP, Gonzalez JP, Leroy EM: Prevalence of Plasmodium falciparum infection in asymptomatic rural Gabonese populations. Malar J. 2011, 10: 33-10.1186/1475-2875-10-33.PubMed CentralView ArticlePubMedGoogle Scholar
  39. Bousema J, Gouagna L, Drakeley C, Meutstege A, Okech B, Akim I, Beier J, Githure J, Sauerwein R: Plasmodium falciparum gametocyte carriage in asymptomatic children in western Kenya. Malar J. 2004, 3: 18-10.1186/1475-2875-3-18.PubMed CentralView ArticlePubMedGoogle Scholar
  40. Wongsrichanalai C, Barcus MJ, Muth S, Sutamihardja A, Wernsdorfer WH: A review of malaria diagnostic tools: microscopy and rapid diagnostic test (RDT). Am J Trop Med Hyg. 2007, 77 (6 Suppl): 119-127.PubMedGoogle Scholar
  41. Kyabayinze DJ, Tibenderana JK, Odong GW, Rwakimari JB, Counihan H: Operational accuracy and comparative persistent antigenicity of HRP2 rapid diagnostic tests for Plasmodium falciparum malaria in a hyperendemic region of Uganda. Malar J. 2008, 7: 221-10.1186/1475-2875-7-221.PubMed CentralView ArticlePubMedGoogle Scholar
  42. Hopkins H, Kambale W, Kamya MR, Staedke SG, Dorsey G, Rosenthal PJ: Comparison of HRP2- and pLDH-based rapid diagnostic tests for malaria with longitudinal follow-up in Kampala, Uganda. Am J Trop Med Hyg. 2007, 76: 1092-1097.PubMedGoogle Scholar
  43. D’Acremont V, Kahama-Maro J, Swai N, Mtasiwa D, Genton B, Lengeler C: Reduction of anti-malarial consumption after rapid diagnostic tests implementation in Dar es Salaam: a before-after and cluster randomized controlled study. Malar J. 2011, 10: 107-10.1186/1475-2875-10-107.PubMed CentralView ArticlePubMedGoogle Scholar
  44. Barie PS: Multidrug-resistant organisms and antibiotic management. Surg Clin North Am. 2012, 92: 345-391. 10.1016/j.suc.2012.01.015. ix-xView ArticlePubMedGoogle Scholar
  45. Blomberg B, Manji KP, Urassa WK, Tamim BS, Mwakagile DS, Jureen R, Msangi V, Tellevik MG, Holberg-Petersen M, Harthug S, Maselle SY, Langeland N: Antimicrobial resistance predicts death in Tanzanian children with bloodstream infections: a prospective cohort study. BMC Infect Dis. 2007, 7: 43-10.1186/1471-2334-7-43.PubMed CentralView ArticlePubMedGoogle Scholar
  46. Bone RC: Sepsis, sepsis syndrome, and the systemic inflammatory response syndrome (SIRS). Gulliver in Laputa. JAMA. 1995, 273: 155-156. 10.1001/jama.1995.03520260077036.View ArticlePubMedGoogle Scholar


© Strøm et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.