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Prospective study on severe malaria among in-patients at Bombo regional hospital, Tanga, north-eastern Tanzania

BMC Infectious Diseases volume 11, Article number: 256 (2011) Cite this article

Abstract

Background

In Tanzania, malaria is the major cause of morbidity and mortality, accounting for about 30% of all hospital admissions and around 15% of all hospital deaths. Severe anaemia and cerebral malaria are the two main causes of death due to malaria in Tanga, Tanzania.

Methods

This was a prospective observational hospital-based study conducted from October 2004 to September 2005. Consent was sought from study participants or guardians in the wards. Finger prick blood was collected from each individual for thick and thin smears, blood sugar levels and haemoglobin estimations by Haemocue machine after admission.

Results

A total of 494 patients were clinically diagnosed and admitted as cases of severe malaria. Majority of them (55.3%) were children below the age of 5 years. Only 285 out of the total 494 (57.7%) patients had positive blood smears for malaria parasites. Adults aged 20 years and above had the highest rate of cases with fever and blood smear negative for malaria parasites. Commonest clinical manifestations of severe malaria were cerebral malaria (47.3%) and severe anaemia (14.6%), particularly in the under-fives. Case fatality was 3.2% and majority of the deaths occurred in the under-fives and adults aged 20 years and above with negative blood smears.

Conclusion

Proper laboratory diagnosis is crucial for case management and reliable data collection. The non-specific nature of malaria symptomatologies limits the use of clinical diagnosis and the IMCI strategy. Strengthening of laboratory investigations to guide case management is recommended.

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Background

Malaria is the leading cause of morbidity and mortality affecting about 300-400 million people worldwide and accounts for about 1-2 million deaths every year. It is also the most prevalent tropical disease especially in sub-Saharan Africa [1, 2]. Major causes of malaria related deaths are severe anaemia and cerebral malaria [3–8]. According to Annual report from Bombo regional hospital for the year 2000, clinically diagnosed malaria accounted for 59.9% of all admissions of which 21.6% had had the severe form of the disease. Anaemia contributed 18.6% of all admissions. There were 228 deaths reported in the paediatric ward of which 33.3% were due to anaemia that was most likely caused by malaria. Causes of severe malaria other than anaemia accounted for 30.7% of all reported deaths [9].

Due to their low acquired immune status, children below five years of age are the most affected by malaria in high transmission areas, whereas in low transmission areas all age groups are equally affected [10, 11]. Although health facility-based reports show that malaria is the leading cause for hospital attendance and admissions, several studies across Africa indicate that the disease is declining [12–14]. This has also been found in two recently conducted studies at one health facility in the city of Tanga (Makorora Health Centre), where only 10% of patients screened in one study were positive for malaria parasites [15], and in the other study (Msangeni et al, unpublished) data collection activities had to be stopped after failure to obtain suitable candidates despite most of the patients having clinical symptoms suggestive of malaria.

Apart from these two studies which have shown very low malaria prevalence, there is still inadequate information on the epidemiology of laboratory confirmed malaria and the underlying associated risk factors. It was the objective of this study, therefore, to determine the malaria disease pattern and the proportion of malaria associated deaths in patients admitted at Bombo regional hospital. The study was conducted for a period of one year from October 2004 to September 2005 and involved prospective data collection from severe malaria cases admitted to Bombo hospital.

Methods

Study area

The study was conducted in the city of Tanga, at Bombo regional hospital, north-eastern Tanzania. The city lies at about 5.17°, 5.33°S and 38.17°, 38.33°E along the Indian Ocean seashore. The area receives two seasons of rainfall; short rains during the months of October - December and long rains in March - June, with a humidity of about 100%. Temperature ranges between 27°C and 32°C. Tanga city covers an area of about 600 sq. km and has an estimated human population of 248,696 (2003 estimated at a growth rate of 2.1% per annum). The hospital has a capacity of 500 beds for inpatients among which 60 beds are reserved for paediatric patients. It has a general laboratory for both in-patient and out-patient services.

Based on data from Bombo regional hospital for the year 2003, malaria was indicated as the leading cause of hospital admissions in the intensive care unit (ICU), medical and paediatric wards, accounting for 56.8%, 39.0% and 47.5% respectively. Severe anaemia and severe malaria were noted to be the leading cause of deaths in the paediatric ICU with rates of 61.5% and 45.8% respectively. Anaemia was most probably related to malaria, especially in children.

Study design

This was a prospective observational hospital based study conducted from 2004 to September 2005. Malaria case admissions and outcome were collected and analysed. The data were collected during official working hours and only on five working days of the week.

Ethical consideration

Study aims were explained to Bombo hospital management team in order to make them aware and get fully involved in the study execution. Permission to conduct the study in Bombo regional hospital was sought from the Regional and City administrative authorities. During all these meetings, study aims and activities were elaborated and clarified when necessary. Oral and written consents were sought from the study participants or guardians/caretakers in the wards. Consent for adult patients with cerebral involvement was sought through relatives/caretakers. Patients' data were taken as confidential entities. The study was granted ethical clearance by the Medical Research Co-ordinating Committee of the National Institute for Medical Research.

Clinical and laboratory data collection

Patients were admitted at the out-patient department (OPD), usually by clinical officers. The study group comprised of all patients admitted with a clinical diagnosis of severe malaria. Both sexes and all ages were eligible for inclusion in the study. Proposed diagnoses by the hospital staff were entered in the morbidity form as they were. Morbidity questionnaire was completed for all malaria admissions in the wards. Clinical reassessment and laboratory investigations were done in the ward by the research team. From each individual, personal data including name, sex, age, ward, village/street, as well as clinical and parasitological examination results were entered in the morbidity form. Clinical notes of every patient were reviewed on discharge to see if there was any re-evaluation and subsequent change of the initial diagnosis. Patients who had a change of diagnosis from malaria to another febrile illness on discharge were excluded from the study. Cerebral involvement was assessed using Blantyre coma score [16, 17] by investigators.

Finger prick blood was collected from each individual for thick and thin smears. For all cases, finger prick blood was also taken for Hb level and blood sugar examinations using Haemocue machine. The blood smears were stained using 10% Giemsa for 30 minutes and examined under the microscope for identification and enumeration of malaria parasites. Malaria parasites were counted against 200 leukocytes. A blood smear was considered negative if no malaria parasites were seen after scanning 200 high power fields. When sexual parasites were present, they were enumerated against 500 leukocytes. Hyperparasitaemia was defined as parasite density ≥ 250,000 rings/μL of blood [18]. Anaemia was defined as Hb < 11 g/dL [19, 20]. Severe anaemia was classified as Hb < 5 g/dL [21] whereas Hb between 5 g/dL and Hb < 11 g/dL was termed as mild/moderate anaemia [8, 22]. Hypoglycaemia was defined as blood glucose < 2.2 mmole/L or < 40 mg/dL [18, 23]. Fever was defined as body temperature ≥37.5°C and hyperpyrexia as temperature ≥ 39.5°C [18]. Severe malaria was reassessed according to WHO 2000 guidelines [18]. In adults, splenomegaly was defined as palpable spleen of any size but for children we considered splenomegaly when the size of the spleen exceeded 2 cm below the left costal margin. Spleen enlargement was scored according to Hackett's classification. Deaths which occurred during data collection period were also recorded.

Treatment of severe cases in the hospital

Initial assessment was done at the OPD on admission to ascertain the presence of any severe signs which would require special attention. Parenteral/oral paracetamol was prescribed as antipyretic and analgesic whereas parenteral diazepam was prescribed to patients presenting with convulsions. Blood transfusion was provided in the case of severe anaemia (Hb < 5 g/dL) after screening for HIV, grouping and cross-matching of the blood. According to national policy quinine is the drug of choice. The drug is administered by loading and maintenance doses. There is a slight difference between the regimen for adults and for children. The loading dose for adults is 20 mg/kg body weight of quinine hydrochloride salt diluted in 10 ml/kg of 5% dextrose by intravenous infusion. The drip is left to run for over 4 hours. A maintenance dose of quinine follows 8 hours from the beginning of the previous (loading) dose and is given at 10 mg/kg in similar IV drip, again running over 4 hours. The maintenance dose is repeated every 8 hours, calculated from the beginning of the previous infusion, until patient improves to an extent that he can swallow. Then oral quinine (tablets), 10 mg salt/kg, is given 8 hourly intervals to complete a 7 days treatment course. As for children, a loading dose of quinine is administered exactly like in adults (20 mg/kg), running over 4 hours, followed by a maintenance dose (10 mg/kg) 12 hours after the start of the loading dose, given over 2 hours. This maintenance dose is repeated every 12 hours, estimated from the beginning of the previous drip. When the patient improves and can swallow, the quinine dose is given orally, 10 mg/kg 8 hourly to complete a 7 day treatment course.

Data management and analysis

Data collected from this study were handled using Epi-info software and were double entered to minimize errors during data entry process while check files were created to restrict entrance of invalid data. Data analysis was done using STATA version 9. Proportions were compared by chisq test. Logistic regression analysis was used to compare malaria clinical signs and symptoms with blood smear results in patients admitted for severe malaria. P-value < 0.05 was considered significant.

Results

Patient characteristics and malaria

A total of 494 patients were clinically diagnosed and admitted as cases of severe malaria during the one year period. Males accounted for 61.5% (304) of the patients. Among the patients admitted to IPD, children aged 1-4 years were majority (34.4%), while children in the age group 5-9 years were the least (13.6%), Table 1. Most of the patients 77.5% (383) came from within the urban settings of Tanga city. A total of 245 (49.2%) patients from both rural and urban settings reported to have taken Sulphadoxine/pyrimethamine or Amodiaquine prior to admission (Table 1).

Table 1 Demographic characteristics of patients initially admitted with a diagnosis of severe malaria
Full size table

Overall, 57.7% (285) of the cases had positive blood smears for malaria parasites. Plasmodium falciparum and P. malariae were the only malaria parasites species detected. P. malariae was only found as mixed infection and it accounted for 6.7% (19) of all infections. Highest smear positive rate was recorded in children under the age of 5 years and thereafter, the prevalence showed a sharp drop that levelled off after the age of 10 years (Table 1).

The highest parasite density of 10734 asexual parasites/μL (95% CI: 3912 - 33307) was recorded in patients aged 10-19 years whilst the lowest parasite density (2158 asexual parasites/μL, 95% CI: 956 - 5363) was seen in adults aged ≥20 years, (Table 1).

Fever and malaria parasites

About 70% of the patients admitted with a diagnosis of severe malaria had fever (axillary temperature ≥ 37.5°C). The highest rate of fever was recorded in children aged 1-4 years followed by infants and adults aged ≥20 years. Figure 1 shows results of fever in association with blood smears. Children in age group 1-4 years had the highest fever prevalence in association with blood smear (BS) positive for malaria parasites (Figure 1). Adults aged ≥20 years had a high proportion of negative BS with no fever whereas children aged 5-9 years had the lowest rate of both fever and malaria parasites.

Figure 1
figure 1

Comparison of blood smear with fever episodes in cases admitted for severe malaria by age groups

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Anaemia

Anaemia was a prominent feature among the patients, with an overall rate of 69.8% (345). Only 30.2% (149/494) of the patients had normal Hb levels (Hb > 11 g/dL). Majority (55.2%) of the cases had mild/moderate anaemia. Severe anaemia was recorded in 14.6% (72) of the patients and a significant proportion of them (84.7%, p = 0.001) had positive BS for malaria parasites. The prevalence of severe anaemia was highest in children under the age of 5 years and decreased with increasing age.

Severe malaria manifestations

Following clinical reassessment of patients in the ward, the proportion of patients with a clinical confirmed diagnosis of severe malaria was 74.7% (369), (Table 2). Out of 369 cases, a significant proportion (61.5%) had positive BS for malaria parasites (p = 0.003). Most of these patients were children below the age of 5 years. Assessment by the Blantyre coma scale revealed that 129 out of total 273 under-fives (47.3%) admitted had signs and symptoms indicative of cerebral malaria but only 89 of the 129 children (69.0%) had positive BS for malaria parasites (Table 2).

Table 2 Comparison of malaria clinical signs and symptoms with blood smear results in patients admitted for severe malaria at Bombo hospital, Tanga, Tanzania
Full size table

Hyperpyrexia, hyperparasitaemia, hypoglycaemia, convulsions and jaundice were among the accompanying clinical complications of severe malaria observed across all age groups. Among all these complications, hyperpyrexia appeared to be relatively high (19.6%) (Table 2). Again, the proportion of patients having any of these conditions with malaria parasitaemia was not significant. Fever was identified in 70.5% (348) of cases but the proportion of those with positive BS for malaria parasites was significantly higher (p = 0.006) only in infants (Table 2 & 3). Hyperpyrexia was most prominent in those with positive BS with the exception of infants and the adult age groups who showed comparatively higher proportions of hyperpyrexia in those with negative BS. Hypoglycaemia was not a major clinical problem as it was seen only in 5 out of the 494 (1%) patients of whom only one had positive BS for malaria parasites. Only 4 out of the 494 (0.8%) patients recruited had hyperparasitaemia, and all of them were children under the age of five years. There was a significantly higher proportion (85.5%) of children aged 1-4 with both malaria and enlarged spleen (p = 0.001) as shown in Table 3.

Table 3 Relationship between clinical conditions and presence of malaria parasites by age group
Full size table

Duration of illness

The majority of patients in the study had been sick for varying lengths before admission, ranging from 1 to 90 days. The longest period of sickness was documented in adults of 20 years and above who had a median duration of sickness of 7 [IQ range: 4-33] days. On the other hand, a high proportion of the adults aged 20 years and above gave a history of being sick for durations exceeding 2 weeks (Table 4). Generally, the proportion of days of illness seemed to increase with advancing age. Majority of the patients who had positive BS for malaria parasites on admission claimed to have been sick for periods not exceeding one week except a few in the age group of 1-4 years, 10-19 years and adults of 20 years and above. Patients who were admitted with negative BS for malaria parasites reported the longest periods of sickness, the mean duration increasing progressively from 5.6 [95% CI 4.2 - 7.0] days in infants to 21.8 [95% CI 15 - 28.2] days in adults aged 20 years and above (Table 4).

Table 4 Comparison of duration of illness with blood smear results for malaria parasites
Full size table

Deaths

Most of the patients (95.8%) were successfully treated and discharged. However, 5 (1.0%) were transferred to other health facilities for various reasons and 16 (3.2%) of the 494 patients died during the one year period. Most of the deaths occurred in patients from the urban areas of Tanga city (81.2% vs 18.3%). Deaths reported were of infants (12.5%), children aged 1-4 years (43.8%) and adults (37.5%) of over 19 years of age, and all of the deceased adults had negative BS for malaria parasites. Only 6 out of these 16 (37.5%) deaths had positive BS for malaria parasites of whom 2 were infants and 4 were children aged 1-4 years.

Discussion

According to health facility statistics, malaria in Tanzania is the leading cause of morbidity and mortality. Ministry of Health data from 2003 show that around 30 per cent of all hospital admissions and 15 per cent of all hospital deaths in Tanzania are due to malaria [24]. Results obtained in our study show that just over half of the patients admitted in the 1 year period October 2004 to September 2005 were cases of malaria. A case of malaria requires the presence of parasites in the blood, supported by fever or history of fever. Reyburn [25] recorded almost similar findings in a study aimed at assessing the diagnosis and outcomes in patients admitted with a diagnosis of severe malaria in north-eastern Tanzania. In the case of fever in BS negative, infections other than malaria should be considered as has been documented by Berkley [26] in Kenyan children where various bacterial infections were found to be responsible for the majority of childhood deaths.

An interesting observation was that a considerable proportion of patients with negative blood smear for malaria parasites and without fever was also admitted as severe cases of malaria. The inclusion of afebrile/apyrexic patients and those with BS negative results for malaria parasites as severe malaria shows that malaria is over-reported in this health facility using clinical diagnosis as the principal method of diagnosis. This is likely to occur in most Sub-Saharan Africa and is facilitated through the syndromic approach, popularly termed as integrated management of childhood illness (IMCI) strategy [27], which is not a precise way of diagnosing diseases [28, 29]. Reyburn [25] had comparable findings where only 46.1% of the clinically examined patients had positive blood smears.

The high rate of cases with negative BS for malaria parasites found in our study could have been attributed to the inclusion of patients with acute febrile illnesses caused by aetiologies other than malaria. This is similar to what Njama-Meya [30] reported in a prospective cohort study of malaria treatment restricted to laboratory-confirmed cases in Ugandan children in which 32% of the febrile episodes were found positive for malaria. This means that majority (68%) of the episodes attended were caused by various other infections.

The proportion of cases with hypoglycaemia in our study was relatively lower than those reported in other areas of Sub-Sahara Africa. For instance, Taylor et al [31] in a study to find out the clinical associations and relationship to quinine dosage of hypoglycaemia in severe malaria in Malawi reported that 20% of children had hypoglycaemia before treatment. In another study that was conducted along the coastal areas of Kenya, English et al [32] reported almost similar proportion (16%) of hypoglycaemia in children on admission. So far, we cannot identify the reasons for the lower proportion of hypoglycaemia recorded in patients in our study.

Moreover, the low sensitivity of laboratory techniques used in diagnosing malaria could have played a part in the increase of BS negative results. Microscopy has some technical drawbacks that make it less sensitive than polymerase chain reaction (PCR) technique in the detection of malaria parasites [33]. It has been noted that considerable number of parasites are lost during the staining process [34–36], leading to either incorrect estimates of parasite density or the smear being considered as negative in the case of scanty or low parasitaemia, usually in densities of < 50 parasites/μL of blood [37, 38]. Otherwise these children had infections in other body systems causing illnesses resembling severe malaria, e.g. septicaemia, pneumonia, urinary tract infection, HIV/AIDS and other viral infections.

According to the scores obtained with the Blantyre coma scale, it seems that cerebral malaria is a common manifestation of severe malaria among the under-fives in this area. It was observed that among the sick children assessed, 47.3% had altered consciousness indicative of cerebral involvement, and about one third of these had negative BS for malaria parasites. Considering the fact that a case definition of malaria requires the presence of asexual parasites in the blood[39, 40], it is most likely that the patients who had no parasitaemia could have other infections with cerebral manifestations mimicking cerebral malaria, like cerebrospinal meningitis [41]. The proportion of patients who had cerebral malaria (47.3%) was actually higher than that recorded by Pankoui Mfonkeu (20.2%) in Douala, Cameroon [42].

The considerable proportion of patients observed with signs and symptoms of severe malaria, and others presenting with hyperpyrexia (body temperature ≥ 39.5°C) but having no parasitaemia indicates very serious diagnostic errors and case management problems in our hospitals. In this study, for instance, 38.5% of patients who presented with severe clinical signs and symptoms of disease pertaining to severe malaria and 19.6% of patients who had hyperpyrexia had no parasitaemia. This in part is due to inadequate quality of care resulting from dependence on under-trained personnel for most of the clinical work in most of our health facilities, and absence of or insufficient laboratory diagnostic services, particularly in the primary health care units (Mangesho et al. in preparation). Unfortunately under-trained personnel are normally the first to be consulted even in most regional hospitals in Tanzania. It is true that malaria is the leading cause of hospital attendances and hospital admissions in Tanzania so far and probably in sub-Saharan Africa as a whole. But the findings of this study portray doubt on the reliability of the accuracy of data from health facilities.

Furthermore, severe anaemia also appeared to be a problem that was significantly associated with malaria (p = 0.001). The trend showed that where there was an increase in the proportion of BS positive results for malaria parasites, there was a corresponding increase in the proportion of severe anaemia cases, and vice versa. This phenomenon was more marked in children below the age of five years who also happened to be the group with the highest proportion of BS positive for malaria parasites. In many malaria endemic countries anaemia has been reported to be the most common complication of falciparum malaria and one of the commonest causes of deaths in children [5, 43, 44]. The overall prevalence of malaria-related severe anaemia in our study was 14.6%, which was almost threefold less compared to 46.0% reported by Newton [45] in children along the coastal area of Kenya between 1989 and 1991 and, by Dzeing-Ella [21] in Gabon between 2000 and 2002, where prevalence of severe anaemia has been reported to be as high as 67.%. In general, the prevalence of malaria-related severe anaemia has a corresponding level with malaria endemicity, for instance, Font [46] found that malaria and anaemia were the main causes of referrals from rural health facilities to the district hospital of Kilombero in Tanzania. Effective malaria control interventions, particularly the country-wide use of insecticide treated bed nets [47, 48] might have been responsible for the decline in malaria prevalence recently reported in Tanzania [49], resulting in a parallel decrease in the level of severe anaemia recorded in our study. However, despite the possible association between malaria and anaemia, it is difficult to draw a strong conclusion of malaria being the sole cause and effect of anaemia due to its multi-factorial nature in the tropical environment [50].

It has been noted that patients reported various duration of illness. Some had been sick for periods as short as one day, whereas a number of them were unwell for almost 3 months. Duration of illness documented in adult patients (≥20 years) was noted to be significantly long among those with negative BS, indicating that some causes other than malaria, like HIV/AIDS, might have been responsible for the sickness in this age group.

Low death rates might have resulted from good access to health services for the majority of the patients living within the city (as has been evidenced by the fact that half of the patients already received some antimalarials even before coming to hospital). Prompt treatment by hospital staff due in part to over-diagnosis of malaria [25] played a role in the low rate of malaria-specific deaths. The use of quinine has proved to be very effective in reducing mortality in our study although recent report indicates that artesunate performs better [51].

Almost half of the patients enrolled in our study had a history of taking antimalarial drugs prior to admission. These patients most likely got their medicines either from low level health facilities before they were referred or they might have obtained the drugs over the counter, which is a common practice in Tanzania. Some studies conducted in the country show that over 71% of patients treat themselves even before consulting a health facility [52, 53].

Conclusions

The high proportion of fever cases in patients with BS negative results for malaria parasites poses the question as to what could be the actual cause of illness. There is a need to find out if malaria still continues to be the leading cause of morbidity and mortality in Tanzania and sub-Saharan Africa as is believed to be, particularly bearing in mind the impact of HIV/AIDS. Use of more specific RDT might also help. This would reduce the problem of over-diagnosis of malaria and bring about rational use of antimalarials and other relatively expensive drugs. We need to revisit the usefulness of IMCI in terms of its impact on disease over-diagnosis and over-prescription of drugs. Improvement of clinical and laboratory diagnosis of malaria is crucial for proper case management and reliable data collection in the changing epidemiological setting. Blood and urine culture tests could be an important component of management of febrile illnesses in general and cases of non malaria febrile illness in particular.

References

  1. WHO: The African Malaria Report. 2003

    Google Scholar 

  2. ter Kuile FO, Parise ME, Verhoeff FH, Udhayakumar V, Newman RD, van Eijk AM, Rogerson SJ, Steketee RW: The burden of co-infection with human immunodeficiency virus type 1 and malaria in pregnant women in sub-saharan Africa. Am J Trop Med Hyg. 2004, 71: 41-54.

    PubMed  Google Scholar 

  3. Severe falciparum malaria. World Health Organization, Communicable Diseases Cluster. Trans R Soc Trop Med Hyg. 2000, 94 (Suppl 1): S1-90.

  4. Slutsker L, Taylor TE, Wirima JJ, Steketee RW: In-hospital morbidity and mortality due to malaria-associated severe anaemia in two areas of Malawi with different patterns of malaria infection. Trans R Soc Trop Med Hyg. 1994, 88: 548-551. 10.1016/0035-9203(94)90157-0.

    Article  CAS  PubMed  Google Scholar 

  5. Menendez C, Fleming AF, Alonso PL: Malaria-related anaemia. Parasitol Today. 2000, 16: 469-476. 10.1016/S0169-4758(00)01774-9.

    Article  CAS  PubMed  Google Scholar 

  6. Kitua AY, Smith TA, Alonso PL, Urassa H, Masanja H, Kimario J, Tanner M: The role of low level Plasmodium falciparum parasitaemia in anaemia among infants living in an area of intense and perennial transmission. Trop Med Int Health. 1997, 2: 325-333.

    Article  CAS  PubMed  Google Scholar 

  7. Granja AC, Machungo F, Gomes A, Bergstrom S, Brabin B: Malaria-related maternal mortality in urban Mozambique. Ann Trop Med Parasitol. 1998, 92: 257-263. 10.1080/00034989859816.

    Article  CAS  PubMed  Google Scholar 

  8. Marsh K, Forster D, Waruiru C, Mwangi I, Winstanley M, Marsh V, Newton C, Winstanley P, Warn P, Peshu N, et al: Indicators of life-threatening malaria in African children. N Engl J Med. 1995, 332: 1399-1404. 10.1056/NEJM199505253322102.

    Article  CAS  PubMed  Google Scholar 

  9. The United Republic of Tanzania, Prime Minister's Office: Regional Administration and Local Government: Annual Report Bombo Hospital-Tanga. 2000

    Google Scholar 

  10. Bodker R, Akida J, Shayo D, Kisinza W, Msangeni HA, Pedersen EM, Lindsay SW: Relationship between altitude and intensity of malaria transmission in the Usambara Mountains, Tanzania. J Med Entomol. 2003, 40: 706-717. 10.1603/0022-2585-40.5.706.

    Article  CAS  PubMed  Google Scholar 

  11. Mmbando BP, Segeja MD, Msangeni HA, Sembuche SH, Ishengoma DS, Seth MD, Francis F, Rutta AS, Kamugisha ML, Lemnge MM: Epidemiology of malaria in an area prepared for clinical trials in Korogwe, north-eastern Tanzania. Malar J. 2009, 8: 165-10.1186/1475-2875-8-165.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ceesay SJ, Casals-Pascual C, Nwakanma DC, Walther M, Gomez-Escobar N, Fulford AJ, Takem EN, Nogaro S, Bojang KA, Corrah T, et al: Continued decline of malaria in The Gambia with implications for elimination. PLoS One. 5: e12242-

  13. Gething PW, Smith DL, Patil AP, Tatem AJ, Snow RW, Hay SI: Climate change and the global malaria recession. Nature. 465: 342-345.

  14. Okiro EA, Hay SI, Gikandi PW, Sharif SK, Noor AM, Peshu N, Marsh K, Snow RW: The decline in paediatric malaria admissions on the coast of Kenya. Malar J. 2007, 6: 151-10.1186/1475-2875-6-151.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kamugisha ML, Msangeni H, Beale E, Malecela EK, Akida J, Ishengoma DR, Lemnge MM: Paracheck Pf compared with microscopy for diagnosis of Plasmodium falciparum malaria among children in Tanga City, north-eastern Tanzania. Tanzan J Health Res. 2008, 10: 14-19.

    Article  CAS  PubMed  Google Scholar 

  16. Molyneux ME, Taylor TE, Wirima JJ, Borgstein A: Clinical features and prognostic indicators in paediatric cerebral malaria: a study of 131 comatose Malawian children. Q J Med. 1989, 71: 441-459.

    CAS  PubMed  Google Scholar 

  17. Waller D, Krishna S, Crawley J, Miller K, Nosten F, Chapman D, ter Kuile FO, Craddock C, Berry C, Holloway PA, et al: Clinical features and outcome of severe malaria in Gambian children. Clin Infect Dis. 1995, 21: 577-587. 10.1093/clinids/21.3.577.

    Article  CAS  PubMed  Google Scholar 

  18. World Health Organisation: Manegement of severe malaria-A practical handbook 2rd edition. 2000, Geneva: WHO

    Google Scholar 

  19. Tomashek KM, Woodruff BA, Gotway CA, Bloland P, Mbaruku G: Randomized intervention study comparing several regimens for the treatment of moderate anemia among refugee children in Kigoma Region, Tanzania. Am J Trop Med Hyg. 2001, 64: 164-171.

    CAS  PubMed  Google Scholar 

  20. Odhiambo FO, Hamel MJ, Williamson J, Lindblade K, ter Kuile FO, Peterson E, Otieno P, Kariuki S, Vulule J, Slutsker L, Newman RD: Intermittent preventive treatment in infants for the prevention of malaria in rural Western kenya: a randomized, double-blind placebo-controlled trial. PLoS One. 5: e10016-

  21. Dzeing-Ella A, Nze Obiang PC, Tchoua R, Planche T, Mboza B, Mbounja M, Muller-Roemer U, Jarvis J, Kendjo E, Ngou-Milama E, et al: Severe falciparum malaria in Gabonese children: clinical and laboratory features. Malar J. 2005, 4: 1-10.1186/1475-2875-4-1.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Idro R: Severe anaemia in childhood cerebral malaria is associated with profound coma. Afr Health Sci. 2003, 3: 15-18.

    PubMed  PubMed Central  Google Scholar 

  23. Mockenhaupt FP, Ehrhardt S, Burkhardt J, Bosomtwe SY, Laryea S, Anemana SD, Otchwemah RN, Cramer JP, Dietz E, Gellert S, Bienzle U: Manifestation and outcome of severe malaria in children in northern Ghana. Am J Trop Med Hyg. 2004, 71: 167-172.

    PubMed  Google Scholar 

  24. Ministry of Health: Health Abstracts. 2003, Dar es salaam, United Republic of Tanzania: Ministry of Health

    Google Scholar 

  25. Reyburn H, Mbatia R, Drakeley C, Carneiro I, Mwakasungula E, Mwerinde O, Saganda K, Shao J, Kitua A, Olomi R, et al: Overdiagnosis of malaria in patients with severe febrile illness in Tanzania: a prospective study. BMJ. 2004, 329: 1212-10.1136/bmj.38251.658229.55.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Berkley JA, Lowe BS, Mwangi I, Williams T, Bauni E, Mwarumba S, Ngetsa C, Slack MP, Njenga S, Hart CA, et al: Bacteremia among children admitted to a rural hospital in Kenya. N Engl J Med. 2005, 352: 39-47. 10.1056/NEJMoa040275.

    Article  CAS  PubMed  Google Scholar 

  27. Font F, Alonso Gonzalez M, Nathan R, Kimario J, Lwilla F, Ascaso C, Tanner M, Menendez C, Alonso PL: Diagnostic accuracy and case management of clinical malaria in the primary health services of a rural area in south-eastern Tanzania. Trop Med Int Health. 2001, 6: 423-428. 10.1046/j.1365-3156.2001.00727.x.

    Article  CAS  PubMed  Google Scholar 

  28. Adehor AB, Burrell PR: The Integrated Management of Health Care Strategies and Differential Diagnosis by Expert System Technology: A Single-Dimensional Approach. 2008, [http://www.waset.org/journals/waset/v44-91.pdf]

    Google Scholar 

  29. Rowe AK, Hirnschall G, Lambrechts T, Bryce J: Linking the integrated management of childhood illness (IMCI) and health information system (HIS) classifications: issues and options. Bull World Health Organ. 1999, 77: 988-995.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Njama-Meya D, Clark TD, Nzarubara B, Staedke S, Kamya MR, Dorsey G: Treatment of malaria restricted to laboratory-confirmed cases: a prospective cohort study in Ugandan children. Malar J. 2007, 6: 7-10.1186/1475-2875-6-7.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Taylor TE, Molyneux ME, Wirima JJ, Fletcher KA, Morris K: Blood glucose levels in Malawian children before and during the administration of intravenous quinine for severe falciparum malaria. N Engl J Med. 1988, 319: 1040-1047. 10.1056/NEJM198810203191602.

    Article  CAS  PubMed  Google Scholar 

  32. English M, Wale S, Binns G, Mwangi I, Saurewein H, Marsh K: Hypoglycaemia on and after admission in Kenyan children with severe malaria. Q J Med. 1998, 91: 191-197.

    Article  CAS  Google Scholar 

  33. Coleman RE, Sattabongkot J, Promstaporm S, Maneechai N, Tippayachai B, Kengluecha A, Rachapaew N, Zollner G, Miller RS, Vaughan JA, et al: Comparison of PCR and microscopy for detection of asymptomatic malaria in a Plasmoium falciparum/vivax endemic area in Thailand. Malar J. 2006, 5:

    Google Scholar 

  34. Shute PG: The staining of malaria parasites. Trans R Soc Trop Med Hyg. 1966, 60: 412-416. 10.1016/0035-9203(66)90311-7.

    Article  CAS  PubMed  Google Scholar 

  35. Bejon P, Andrews L, Hunt-Cooke A, Sanderson F, Gilbert SC, Hill AV: Thick blood film examination for Plasmodium falciparum malaria has reduced sensitivity and underestimates parasite density. Malar J. 2006, 5: 104-10.1186/1475-2875-5-104.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Dowling MA, Shute GT: A comparative study of thick and thin blood films in the diagnosis of scanty malaria parasitaemia. Bull World Health Organ. 1966, 34: 249-267.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. 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: 119-127.

    PubMed  Google Scholar 

  38. Tangpukdee N, Duangdee C, Wilairatana P, Krudsood S: Malaria diagnosis: a brief review. Korean J Parasitol. 2009, 47: 93-102. 10.3347/kjp.2009.47.2.93.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Redd SC, Bloland PB, Kazembe PN, Patrick E, Tembenu R, Campbell CC: Usefulness of clinical case-definitions in guiding therapy for African children with malaria or pneumonia. Lancet. 1992, 340: 1140-1143. 10.1016/0140-6736(92)93160-O.

    Article  CAS  PubMed  Google Scholar 

  40. Rogers WO, Atuguba F, Oduro AR, Hodgson A, Koram KA: Clinical case definitions and malaria vaccine efficacy. J Infect Dis. 2006, 193: 467-473. 10.1086/499314.

    Article  PubMed  Google Scholar 

  41. Wright PW, Avery WG, Ardill WD, McLarty JW: Initial clinical assessment of the comatose patient: cerebral malaria vs. meningitis. Pediatr Infect Dis J. 1993, 12: 37-41. 10.1097/00006454-199301000-00009.

    Article  CAS  PubMed  Google Scholar 

  42. Mfonkeu JB, Gouado I, Kuate HF, Zambou O, Grau G, Combes V, Zollo PH: Clinical presentation, haematological indices and management of children with severe and uncomplicated malaria in Douala, Cameroon. Pak J Biol Sci. 2008, 11: 2401-2406. 10.3923/pjbs.2008.2401.2406.

    Article  PubMed  Google Scholar 

  43. Rogerson S: What is the relationship between haptoglobin, malaria, and anaemia?. PLoS Med. 2006, 3: e200-10.1371/journal.pmed.0030200.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Ronald LA, Kenny SL, Klinkenberg E, Akoto AO, Boakye I, Barnish G, Donnelly MJ: Malaria and anaemia among children in two communities of Kumasi, Ghana: a cross-sectional survey. Malar J. 2006, 5: 105-10.1186/1475-2875-5-105.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Newton CR, Warn PA, Winstanley PA, Peshu N, Snow RW, Pasvol G, Marsh K: Severe anaemia in children living in a malaria endemic area of Kenya. Trop Med Int Health. 1997, 2: 165-178. 10.1046/j.1365-3156.1997.d01-238.x.

    Article  CAS  PubMed  Google Scholar 

  46. Font F, Quinto L, Masanja H, Nathan R, Ascaso C, Menendez C, Tanner M, Schellenberg J, Alonso P: Paediatric referrals in rural Tanzania: the Kilombero District Study - a case series. BMC Int Health Hum Rights. 2002, 2: 4-10.1186/1472-698X-2-4.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Bernard J, Mtove G, Mandike R, Mtei F, Maxwell C, Reyburn H: Equity and coverage of insecticide-treated bed nets in an area of intense transmission of Plasmodium falciparum in Tanzania. Malar J. 2009, 8: 65-10.1186/1475-2875-8-65.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Hanson K, Marchant T, Nathan R, Mponda H, Jones C, Bruce J, Mshinda H, Schellenberg JA: Household ownership and use of insecticide treated nets among target groups after implementation of a national voucher programme in the United Republic of Tanzania: plausibility study using three annual cross sectional household surveys. BMJ. 2009, 339: b2434-10.1136/bmj.b2434.

    Article  PubMed  PubMed Central  Google Scholar 

  49. 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. 9: 216-

  50. Crawley J: Reducing the burden of anemia in infants and young children in malaria-endemic countries of Africa: from evidence to action. Am J Trop Med Hyg. 2004, 71: 25-34.

    PubMed  Google Scholar 

  51. Dondorp AM, Fanello CI, Hendriksen IC, Gomes E, Seni A, Chhaganlal KD, Bojang K, Olaosebikan R, Anunobi N, Maitland K, et al: Artesunate versus quinine in the treatment of severe falciparum malaria in African children (AQUAMAT): an open-label, randomised trial. Lancet. 2010, 376: 1647-1657. 10.1016/S0140-6736(10)61924-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Nsimba SE, Rimoy GH: Self-medication with chloroquine in a rural district of Tanzania: a therapeutic challenge for any future malaria treatment policy change in the country. J Clin Pharm Ther. 2005, 30: 515-519. 10.1111/j.1365-2710.2005.00645.x.

    Article  CAS  PubMed  Google Scholar 

  53. Mnyika KS, Killewo JZ, Kabalimu TK: Self-medication with antimalarial drugs in Dar es Salaam, Tanzania. Trop Geogr Med. 1995, 47: 32-34.

    CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank the Ministry of Health and Social Welfare (MoHSW) Tanzania, for the provision of research funds through the National Institute for Medical Research (NIMR), Head Office. We would also like to thank the administrative body and the management team of Bombo regional hospital of Tanga led by Dr Margaret Mhando (Medical Superintendent), for allowing us to conduct this study in their hospital. Particular acknowledgement goes to the medical staff and nurses of Galanos wards 3 and 4 (female and male medical wards, respectively), the Paediatric wards 12 and 13, including the intensive care unit (ICU) under the supervision of Dr Firmina Mberesero, and grade 1 and 2 wards for their commendable support in the data collection process. We wish to express our sincere gratitude to the patients who participated in this study and, their parents/guardians who heartedly allowed their children to take part in this project.

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  1. National Institute for Medical Research, Tanga Medical Research Centre, P.O. Box 5004, Tanga, Tanzania

    Hamisi A Msangeni, Mathias L Kamugisha, Samuel H Sembuche, Ezekiel K Malecela, Juma A Akida, Filbert F Temba, Bruno P Mmbando & Martha M Lemnge

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  1. Hamisi A Msangeni
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  2. Mathias L Kamugisha
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Correspondence to Hamisi A Msangeni.

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The authors declare that they have no competing interests.

Authors' contributions

HAM designed the study, collected data and prepared the manuscript. MLK designed the study, analyzed the data and prepared the manuscript. MML designed the study and prepared the manuscript. BPM and FFT participated in data analysis. SHS, EKM and JAA collected data. All authors read and approved the final manuscript.

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Msangeni, H.A., Kamugisha, M.L., Sembuche, S.H. et al. Prospective study on severe malaria among in-patients at Bombo regional hospital, Tanga, north-eastern Tanzania. BMC Infect Dis 11, 256 (2011). https://doi.org/10.1186/1471-2334-11-256

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BMC Infectious Diseases

ISSN: 1471-2334

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