Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Etiology and clinical characteristics of pediatric acute fever among hospitalized children in an endemic malaria transmission area of Cameroon in Central Africa

  • Calixte Ida Penda ,

    Roles Conceptualization, Data curation, Project administration, Validation, Writing – original draft, Writing – review & editing

    idapenda@yahoo.fr (CIP); elsecarole@yahoo.fr (CEEM)

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Pédiatric Unit, Douala Laquintinie Hospital, Douala, Cameroon, Pédiatric Unit, Douala General Hospital, Douala, Cameroon

  • Patricia Épée Eboumbou,

    Roles Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Pédiatric Unit, Bonassama District Hospital, Douala, Cameroon

  • Grace Ngondi,

    Roles Data curation, Validation, Writing – review & editing

    Affiliations Department of Biological Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Biology Lab, Douala Laquintinie Hospital, Douala, Cameroon

  • Jean Baptiste Hzounda Fokou,

    Roles Resources, Writing – original draft, Writing – review & editing

    Affiliation Department of Pharmaceutical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon

  • Christelle Véronique Pfoum,

    Roles Formal analysis, Investigation, Resources, Writing – review & editing

    Affiliation Pédiatric Unit, Douala Laquintinie Hospital, Douala, Cameroon

  • Ritha Mbono Betoko,

    Roles Visualization, Writing – review & editing

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Pédiatric Unit, Douala Laquintinie Hospital, Douala, Cameroon

  • Charlotte Eposse,

    Roles Visualization, Writing – review & editing

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Pédiatric Unit, Douala Laquintinie Hospital, Douala, Cameroon

  • Laurent-Mireille Endale,

    Roles Visualization, Writing – review & editing

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Center for Respiratory Diseases, Douala Laquintinie Hospital, Douala, Cameroon

  • Francine Same Bebey,

    Roles Visualization, Writing – review & editing

    Affiliations Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Internal Medicine Department, Douala Laquintinie Hospital, Douala, Cameroon

  • Carole Else Eboumbou Moukoko

    Roles Conceptualization, Data curation, Formal analysis, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    idapenda@yahoo.fr (CIP); elsecarole@yahoo.fr (CEEM)

    Affiliations Department of Biological Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon, Malaria Research Unit, Centre Pasteur Cameroon, Yaoundé, Cameroon, Laboratory of Parasitology, Mycology and Virology, Postgraduate Training Unit for Health Sciences, Postgraduate School for Pure and Applied Sciences, University of Douala, Douala, Cameroon

Abstract

Acute fever in the majority of children in resource-limited countries is attributable to malaria and often treated without laboratory evidence. The aim of the study was to characterize acute pediatric infectious fevers (APIF) in the pediatric department of the Douala Laquintinie Hospital. A cross-sectional study was conducted among children aged 2 months to 15 years who were admitted with an acute fever (anal temperature ≥ 37.5°C less than 5 days in infants and 7 days in adolescents). 200 children were included and followed up during their hospitalization. The mean age was 3.7 (IQ25-75: 1–4.6) years. More than 3 out of 5 patients (62.5%) came from another health facility and anemia accounted for 29% of the reasons for consultation associated with fever. The main symptoms were vomiting (28%), cough (26%), convulsions (21%) and diarrhea (20%). Skin-mucosal pallor (43.0%) and hepatosplenomegaly (26.0%) were the most common physical signs encountered. Among febrile children, 116/200 (58%) were infected with at least 1 pathogen, and 1/200 (0.5%) had a fever of unknown etiology. Malaria (53% vs 80.5% presumptive) associated with anemia (95.3% of cases) was the most common pathology associated with APIF, followed by pneumonia (19.5%), meningitis (11.5%) and urinary tract infections (10% vs 54.5% presumptive). Malaria was over-diagnosed on admission and over-treated as well as urinary tract infection. A better understanding of common pathogens carriage, a better capacity for improved diagnosis and a better applied clinical algorithm for febrile illnesses in children are needed.

Introduction

Fever is a nonspecific defense reaction of the body in response to the action of various triggers including pathogens and some non-living factors such as hormones and drugs. It is the warning signal for a rise of temperature above 38°C and the most common clinical sign in children under 5 in Africa [1]. Fever from an infectious origin is the most frequent and can cause complications such as febrile convulsions or even lead to death [26]. Acute fever is defined as lasting less than five days in infants less than 2 years old while in elder children fever remains acute for up to three weeks [7, 8]. The incidence of pediatric acute fevers (PAF) varies among studies. The global burden of febrile illness and the contribution of many pathogens inducing fever are difficult to quantify and characterize. In sub-Saharan Africa, fever is a common symptom [2] and febrile disease is a major cause of illness and death [3]. A study conducted in 42 countries in sub-Saharan Africa report an incidence of 655.6 million fever episodes in children under five years old in 2007 [4] and in Cameroon, in the best of our knowledge, no data is reported in the literature. Acute unexplained fevers (AUF) represent 14% of PAF, they can hide a severe bacterial infection (occult bacteremia, bacterial meningitis, acute pyelonephritis.) which in the absence of early and adequate treatment, can lead to serious complications [9, 10].

Despite the similar clinical features of a wide spectrum of potential etiologies of PAF [11, 12], studies highlight that the most common cause of PAF in our setting remains malaria. Indeed, despite the reduction in malaria-related mortality (30% in 2012 to 12.4% in 2016) among children under 5 years old [58] in Cameroon, malaria remains significant. Data from the literature nevertheless reports an overestimation of the number of cases of malaria and studies reported that more than half of febrile children are considered not to have malaria [1116]. In addition to the prevalence of antimicrobial resistance among bacterial isolates which continues to increase [17, 18], the World Health Organization (WHO) recommends confirming Plasmodium infection in febrile children by a laboratory examination before initiating the treatment and systematically making the differential diagnosis of fever [19, 20].

Diagnosing acute pediatric infectious fever (APIF), specifying the cause and initiating symptomatic treatment followed by specific etiological treatment are the main steps in the fever management algorithm. There is no diagnostic standard for APIF, and it is difficult to discern the different possible etiologies of a febrile illness with the medical history and physical examination without references, clinical studies and biological confirmation. The diagnostic approach in APIF should include in addition to the history of the febrile symptom and repeated physical examinations, additional paraclinical examinations such as procalcitonin (PCT), C-reactive Protein (CRP), urine dipstick and the analysis of the cerebrospinal fluid (CSF) or even an X-ray which offers the possibility of identifying different etiology of APIF [2129].

Studies on the multiple potential causes of fever are rare and the pathogen remains unidentified for many patients [3032] due to the inadequacy or absence of laboratory equipment and reagents in health facilities in the resource-limited countries and where several co-infecting organisms exist [33]. To the best of our reading, no data on the etiologies and clinical characteristics of APIF in Cameroon is reported in the literature. The only one available was carried out since 1996 in Yaoundé [34]. The present work aimed to establish an etiological profile and clinical characteristics of APIF in the pediatric department of the Douala Laquintinie Hospital (DLH).

Materials and methods

i) Study design and study population

A prospective cross-sectional study was carried out from March 1st to May 31st, 2019, in 2 units (general pediatric and emergency-intensive care) of the DLH pediatric department. The DLH is a second category care and teaching hospital located in the city of Douala with specialist as pediatricians, biologists. The pediatric unit in DHL is managed by 3 pediatricians, 5 general practitioners and nurses;

With an estimated average annual population growth rate of 5% over the past 30 years and a current population of around 2,500,000 inhabitants, Douala is, therefore, the city with the largest population in Cameroon. The annual population growth rate is estimated to an average of 5% over the past 30 years.

This study was conducted following ethics directives related to research on humans in Cameroon. The study received ethical clearance from the Institutional Committee of Ethics for Research for Human Health of the University of Douala (N° 1763 CEI-UDO / 06/2019 / T) and, an administrative agreement (N° 1134 / AR / MINSANTE / DHL / CM) was obtained from the DLH. Before enrollment and the administration of the questionnaire, subjects were informed of on the purpose and process of the investigation (background, goals, methodology, study constraints, data confidentiality, and rights to opt-out from the study), and a signed informed consent was obtained from the children’s parents/guardians in accordance with the Helsinki Declaration. All patients were free treated in accordance to the treatment guidelines from the Cameroon National Malaria Control Program.

Assuming an estimated fever prevalence of 15% in 2014 in Cameroon, the minimum sample size of 196 children would be needed using Cochran’s formula [35]. Convenience and non-probabilistic sampling are applicable in the study when members of the population are convenient to sample. To reduce selection and information biases, patients were enrolled consecutively, voluntary, anonymously and without remuneration.

The target population was all children aged 2 months to 15 years who attended DLH in consultation. Eligibility for inclusion was defined for any children attending pediatric emergency department with an anal temperature ≥ 37.5°C and/or presenting an infectious syndrome, i.e. at least a Systemic Response Inflammatory Syndrome (SIRS). SIRS was defined as a combination of at least 2 signs (including body temperature > 38°C or <36°C and/or a heart rate > 90 beats/min and/or a respiratory rate > 20/min and/or a hyperventilation resulting in PaCO2 < 32mmHg (<4.3kPa) in ambient air) [36]. Fever (temperature ≥ 38°C in the anal record) was said to be acute when it had been present for less than five days in infants (≤ 24 months) and less than seven days in children (between 24 months and 15 years) [37]. Anemia was determined according to age (haemoglobin level < 11 g/dL in children under 5 years old, < 11.5 g/dL in children aged 5 to 11 years 11 months and < 12g/dL in children aged 12 to 14 years 11 months [38].

The administered questionnaire was done following a one-week pre-test with 15 parents/guardians in another hospital structure to assess: i) the understanding and acceptability of the parents/guardians in the study and ii) for standardizing and homogenizing data collection in the two units. The pre-tested structured questionnaire was administered to parents/guardians during a 15-minute one-to-one interview to collect data on the reason for consultation, disease history and patient history. After the pre-test, some changes were made. The interview questions have been worded in such a way that they do not influence the participants in their answers. The questionnaire was administered independently on the same day by two investigators interviewing parents/guardians for 10 minutes to estimate the inter-reproducibility of the interviewer.

ii) Study questionnaire

These were open (OEIQ) and closed (CEIQ) interview questions, including single answer and, multiple-choice questions. Data collection sheets were used to collect data on i) socio-demographic characteristics, ii) anthropometric parameters (restricted to weight, heart and respiratory rate), iii) patient history (including the previous episode of malaria within 15 days of preceding the consultation, previous pathology, vaccination, comorbidities, the notion of recent blood transfusion), iv) clinical symptoms suggesting an infectious state (asthenia, diarrhea, urination burns, prostration, hematuria, convulsion, cough, abdominal pain, vomiting), v) the physical signs of the different systems (disturbance of consciousness, respiratory distress, jaundice, hepatomegaly, splenomegaly, anemia, bladder), vi) paraclinical data (biological assessment: complete blood count-CBC, rapid diagnostic test-RDT and thick blood smear (TBS) for the diagnosis of malaria, urine dipstick, blood assay of Pro-Calcitonin-PCT and Creative protein-CRP). When the urine dipstick was positive, the physician ordered a cytobacteriological examination of the urine.

Patient medical records were also reviewed for results relating i) to patient history, ii) performing the blood culture, iii) cytobacteriological examination of urine (CBEU), iv) cerebrospinal fluid analysis, v) chest x-ray previously requested by the prescriber and made according to the clinical context (at the expense of the parents) and, vi) therapeutic data.

iii) Paraclinical examinations

The initial diagnostic test used was the RDT (Selex On Mal/Pf/Pan test strip and SD BIOLINE Malaria Ag.Pf) for qualitative detection from whole blood. Microscopy was performed to estimate the parasite density on the different samples and subsequently, 10% of the slides were checked by an experienced technician. The Plasmodium parasites densities (PD) expressed as the number of parasites per microliter (μL) of blood was determined based on the number of parasites per 500 leukocytes on a TBS, assuming total leukocyte counts of 8,000 cells/microL of whole blood. Severe malaria is characterized by the presence of P. falciparum infection, clinical manifestations of malaria (fever with or without hyperthermia at the time of consultation, asthenia, headache, nausea or vomiting) and the presence of either or more of the signs defining severe forms of malaria defined by WHO [37].

PCT (cut-off value> 0.05) is produced specifically in the event of microbial infection indicated when bacterial, parasitic or fungal infections are suspected and its value compared to that of CRP (cut-off value ≥ 6 mg/L) is its rapid rise during bacterial infection [39]. The urine dipstick (CombiScreen) has been used to detect and monitor urinary tract infections, diabetes, and renal glucose levels [40].

iv) Statistical analysis

Categorical variables were expressed as frequencies, while numeric variables were presented as means +/- standard deviation (SD) or 95% CI (95% confidence interval) if they were normally distributed. Fisher’s exact test was used to compare qualitative variables. After checking the non-Gaussian distribution, the nonparametric Mann-Whitney U test was used to compare the variables between two independent groups. Only p values <0.05 were considered significant. All statistical analyses were performed using GraphPad Prism5 software (San Diego, CA, USA) and Statistical Package for Social Sciences (SPSS) version 20 software.

Results

Epidemiological characteristics

A total of 273 patients were admitted for suspected fever, of which 200 met the inclusion criteria with an APIF, for an inclusion rate of 73.3%. Most of the children were boys (115; 57.5%) with a sex ratio of 1.38 (Fig 1).

thumbnail
Fig 1. Description of the population studied according to gender and age groups.

https://doi.org/10.1371/journal.pone.0278407.g001

More than half (54.5%) of patients were infants (2months-24months) and 27 (13.5%) were adolescents (10 years—15 years). The mean age was 3.7 (IQ25-75: 1–4.6) years and did not differ statistically between girls and boys (p = 0.481).

More than the majority (112; 56.0%) of parents/guardians was employed, of which 21.0% had fixed incomes. Most mothers / guardians (52.9% vs 37.4% for men / guardians) were unemployed (OR = 1.88; p = 0.003; 95% CI: 1.10–3, 33). More than half (58.0%) of parents had secondary education and 34 (17.0%) primary education.

Clinical history of the study population at admission

The consultation time after the onset of symptoms was 3 days for most children (86; 43.0%) and 7 days for 32.5% of cases. Three over 5 children (62.5%) came from another health facility, no significant difference was observed by age group or gender. Out of 200 patients included, 161 (80.5%) slept under a long-lasting impregnated mosquito nets (LLINs) and 43 (76.7%) had full vaccination coverage from the Expanded Immunization Program.

The main reasons for patients consultation were fever associated with anemia (29.0%) followed by convulsions (15.5%), vomiting (14.0%) and asthenia (14.0%) (Fig 2).

thumbnail
Fig 2. Frequency of reasons for consultation according to gender.

Note. RD, Respiratory Distress; IC, impaired consciousness; Others*, headache + prostration + weight loss + abdominal pain + joint pain + rashes + ingestion of caustics.

https://doi.org/10.1371/journal.pone.0278407.g002

Physical examination: Vital parameters and clinical features

The patient’s temperature was ranging from 35 to 41°C with a mean of 39.1°C (95% CI: 39.0–39.3). 34.5% (69) had a temperature ≥ 39.5° C (Table 1).

thumbnail
Table 1. Clinical characteristics of the study population.

https://doi.org/10.1371/journal.pone.0278407.t001

Normal respiratory rate was found in 42.0% of case and 9.0% had bradypnea (respiratory rate below the normal value) determined by age [41] and 57.5% of the patients had a normal heart rate. Tachycardia (heart rate above normal value) was found in 42.0% of patients while 1 patient presented with bradycardia (heart rate above normal value) determined by age [41].

Many patients presented with asthenia (90.5%) and/or anorexia (55%). Among the patients presenting functional signs, 156 (78.0%) had at least one functional sign (min-max: 1–4), digestive and neurological signs were found in 85 (42.5) and 81 (40, 5%) patients respectively. Among the digestive signs, vomiting (65.9%) and diarrhea (47.1%) were the most frequent signs. Seizures (21%) and prostration (15.5%) were the most common neurologic signs and 3.5% of children presented with impaired consciousness. Hematuria was found in 68.7% of the children. Cough (86.7%) and dyspnea (28.3%) were the most common respiratory signs. Among the physical signs associated with fever, mucocutaneous pallor was present in the majority of patients (43.0%). Epigastric pain, dehydration and abdominal pain was also found in the patients.

Presumptive diagnosis on admission and treatment received on admission

On admission, malaria was suspected in 80.5% of the children, of which 93.8% would have severe malaria defined as malaria-associated mainly with anemia (Table 2).

thumbnail
Table 2. Presumptive diagnostic and treatment at initiation.

https://doi.org/10.1371/journal.pone.0278407.t002

Urinary tract infection and pneumonia were suspected in 54.5% and 22.5% of patients respectively. All children received an antipyretic and the majority an antimalarial (88.8%). From patients with suspected pneumonia or gastroenteritis in the absence of suspected malaria, 80% and 63.6% respectively received an antimalarial. Of 99 children admitted with suspected Plasmodium infection who received antibiotics on admission, 15.1% had no other suspicion of infections requiring antibiotic therapy. Meningitis was suspected in 37 (18.5%) of whom 91.9% received antibiotics on admission. All 8 children admitted with suspected gastroenteritis and who received antibiotics were aged from 2 to 24 months.

Laboratory assessment, etiological diagnosis and clinical course

From 200 patients, 38.5% had a positive RDT confirmed by a positive HD and 31.5% of the children had no biologically confirmation Plasmodium infection (Table 3).

thumbnail
Table 3. Laboratory examinations of patients at the initiation.

https://doi.org/10.1371/journal.pone.0278407.t003

In this study, 87.5% of patients admitted with fever had anemia, of which 36.5% had a severe form. The urine dipstick was positive in 13.5% of patients and 59.3% were able to perform a CBEU among which 31.3% were positive and the main germ found was Escherichia Coli. CFA for bacterial infection was positive in 58% of the patients. A mismatch between CRP and PCT as a marker of infection was observed in 70 patients, of which 10% with CRP-/PCT+ and 25% with CRP +/PCT-. The CFA cytology was in favor of bacterial meningitis in 58% of children out of 31 samples taken and the Streptococcus pneumoniae germ was found in 6.5% of patients.

Based on the laboratory tests, the treatment administered and the favorable clinical outcome of the patients, the diagnosis retained was malaria in 53% of the patients, of whom 95.3% had malaria associated with anemia (Fig 3).

thumbnail
Fig 3. Confirmed diagnostic.

Note. *, abscess; viral conjunctivitis; fever with unknown origin; bypass drain infection; osteoarticular infection; moderate/severe/acute malnutrition; myositis sepsis; esophageal stenosis; pulmonary tuberculosis associated with urinary infection.

https://doi.org/10.1371/journal.pone.0278407.g003

Among patients, 22.7% had malaria associated with another infection (intestinal obstruction, erythematous angina, left blepharitis, urinary tract infection, meningitis, skin drug eruption, probable liver disease, pancytopenia due to G6PD deficiency, pneumonia, rhino-bronchitis, sepsis with a cutaneous call point, moderate acute malnutrition, and renal failure). Lung disease was present in 19.5% of patients with 1 case associated with severe acute malnutrition, urinary tract infections in 10% of patients and meningitis in 11.5% of patients.

Almost all patients cured, 6 (2%) children died and among them 2 children died few hours after their arrival in the hospital and 2 were still in hospitalization for complications not resolved during the study period.

Discussion

The objective of this work was to study the etiologies of infectious fevers to identify the main etiologies of these fevers in children in Cameroon. To our knowledge, this study is the first published to report on febrile infections other than that linked to malaria in children in Cameroon. This study is also one of the few studies carried out in health facilities in Africa to date [24, 30, 42, 43].

In three months, 200 children admitted with fever in DLH were followed. The mean age of the patients was 24 months (12–180 months) and 57.5% were male and infants. This population distribution is comparable to that reported in other previous studies conducted on the etiology of fevers in Ivory Coast, Cameroon, Burkina Faso, Senegal, and Tanzania [24, 30, 42, 43]. The predominance of the male gender could be explained by a greater susceptibility of the said gender at extreme ages of life to morbid phenomena [44].

According to studies in Burkina Faso, Kenya and Cameroon, the average time taken by parents to bring their children for consultation after the onset of fever symptoms is 2 to 3 days [42, 44, 45]. Our study is consistent with previous studies, where the average delay was 4 (2–7) days and 42.5% of the children arrived for a consultation on average 2–3 days after the onset of symptoms and 32, 5% arrived after 7 days. Limited financial resources, self-medication, distance from the health structure and especially the long therapeutic course of sick children are obstacles to rapid recourse to hospital care [46]. In our population, 62.5% came from another health facility regardless of the group of children (infant, child, adolescent) while Doumbia et al., in 2001 [46] and Ouonogo et al., in 2003 [47] reported that 90% of the consulted children at the CHU-Gabriel Touré in Mali came directly from their homes. Given the large number of health centers in the city of Douala which are easily accessible to the population and at a lower cost, it is understandable that the time of arrival to the HLD although it is a referral hospital is late. Most children (94%) lived with progressive symptoms before hospitalization and 2 children died within hours upon arrival to Hospital.

As reported in previous studies, the main reason for consultation encountered was fever, it is mainly due to the high frequency of febrile illnesses in children and their frailties. It was mainly associated with anemia (34%), seizures (15.5%), asthenia (14%) and vomiting (14%). Previous studies conducted in Burkina Faso in 2009 and Cameroon in 2010 also report a high prevalence of anemia (74%) in febrile children [48, 49]. On the other hand, the cough (48%), vomiting (15.9%) and diarrhea (10.5%) trio were reported in other studies conducted in Kenya in 2015, Senegal in 2016 and Burkina Faso in 2018 [42, 44, 50]. The high prevalence of anemia as the main reason for consultation in our population reflects the high rate of anemia in the infantile population of Cameroon estimated at 57.6% [51]. Nevertheless, 33.5% of our patients had a previous pathology that could explain the fever and 23.2% of patients under 1-year-old had an incorrect vaccination status. This highlights the particular importance that must be given to the patient history analysis during diagnosis establishment when facing a fever.

The majority of the children had presented a digestive sign (42.5%) and/or a neurological sign (40.5%) on admission with vomiting (27%), cough (26%) and convulsions (21%) as main signs. This is in accordance with the Cameroon Demographic and Health Survey conducted in 2011 which reports that diarrhea and respiratory infections were the most important health problems in children [52]. Similar results from Kiemde et al., in Senegal reported a significant prevalence of cough (48.9%) followed by diarrhea (38.8%) [50] and vomiting (17.9%) in Burkina Faso [42].

The major physical signs associated with the fever were mucocutaneous pallor (43%) and in particular conjunctival pallor (40.5%) and that of the skin appendages (41.5%), hepatosplenomegaly (26%), signs of respiratory distress (9%) and crackles on auscultation (8.5%). These signs were as well as reported previously in Kenya [44] that report mucocutaneous pallor in 28.4% of cases, respiratory distress (11.4%), hepatosplenomegaly (2%) and crackles on auscultation (2%) in febrile children.

Based on laboratory and paraclinical examinations, 77.7% of fevers were attributable to an infectious pathology as reported in other countries in Africa [49, 53]. 53.0% of the children had confirmed malaria biologically associated or not with another pathology and 95.3% of them had severe malaria. Plasmodium infection has also been reported as the leading cause of fever in other studies although the frequencies are lower than that reported here (between 27.4% and 49.71%) [24, 42, 44]. While study from Tanzania in 2014 [31] reported pneumonia as the primary etiology of APIF in pediatrics patients, it was rather the second cause of fevers in the present study and this goes in the same line with other studies [44, 50]. The high frequency of pneumonia as the primary cause of APIF ahead of malaria in Tanzania can be explained by the drastic decline in malaria transmission observed since 2000 compared to other countries across sub-Saharan African countries and this might be the result of the large-scale implementation of effective control measures following a drastic increase in funding [14, 5456].

Although severe malaria is the most common cause of APIF in hospitalized children in this study, it was over-diagnosed on admission (80.5% presumptively versus 53% etiologic diagnosis) and over-treated with antimalarials as well as with antibiotics. More than 1/3 of patients had received antimalarial treatments when they presented a negative TBS and a negative RDT and 15.1% of children with suspected Plasmodium infection and under antibiotics upon admission had no other suspected infections requiring antibiotic therapy. The fact that 3 out of 5 patients came from another health facility where they had probably received antimalarials could explain the negativity of TBS and the low density of the parasitemia at the time of sampling as in previous study [45]. In the same study, of the 267 patients who used a therapeutic recourse before admission, 62.6% had just one therapeutic itinerary and 37.8% had two therapeutic itineraries [45]. Prescribing antimalarial drugs for patients without parasitemia is well known, and many studies revealed similar practices [57, 58]. Usually, prescribers tend to err on the side of caution to offer treatment malaria endemic countries even when malaria tests are negative while several studies have shown that withholding treatment in cases where malaria tests are negative is safe [59, 60]. 21% of patients had received antibiotic therapy while they also presented a negative MDT reflecting the behavior of practitioners whose tendency is to initiate probabilistic antibiotic therapy in the face of a probable infection while awaiting examination results, even in young patients. A study conducted in pharmacies in Douala in the same study area, showed that 39.3% of antibiotics purchased by parents were intended for children under 15 years old and, around 60% of antibiotics dispensed were for children aged less than 5 years [61]. In addition, gastroenteritis was found in 19 patients, of whom 17 were infants. The viral etiology of enteritis in this age group has been confirmed by a meta-analysis rendering the use of antibiotics unnecessary [62]. In previous study conducted in the same hospital the most frequently used drugs were analgesics/antipyretics, antimalarial drugs and antibiotics [45]. In patients with no malaria parasites, the treating physicians seeing no characteristic clinical symptoms rather appears to rigorously follow the WHO guidelines for treating malaria in endemic malaria whilst also exploring treatment for other pathologies which may be co-existing. In fact, the WHO guidelines highlights the similarities and co-existence of malaria, pneumonia and septicaemia and recommends co-prescription of analgesics, antibiotics and haematinics even before laboratory results are obtained in children. This may also explain the relatively high concomitant prescription of antibiotics and others drugs in this study among patients with febrile illness and in another studies [45, 63, 64]. Moreover, analgesic and hematinic drugs are routinely prescribed for children to treat fever and anemia, respectively.

Conclusion

This study highlights that malaria, pneumonia, and urinary tract infections were the main etiologies of fever in these patients in our setting. However, there was great variability between presumptive and definitive diagnosis, as the examinations for the necessary diagnosis of fever should primarily be guided by clinical history and relevant laboratory tests to improve fever management and reduce its frequency, incidence and health costs.

Acknowledgments

We are very grateful to the children’s parents/guardians who agreed to children’s participation in this study as well as the technical staff of the health facility and of the Malaria Research service for their support and cooperation during the survey.

References

  1. 1. Antoon JW, Peritz DC, Parsons MR, Skinner AC, Lohr JA. Etiology and Resource Use of Fever of Unknown Origin in Hospitalized Children. Hosp Pediatr. 2018; 8(3):135–140. pmid:29487087
  2. 2. Prasad N, Sharples KJ, Murdoch DR, Crump JA. Community prevalence of fever and relationship with malaria among infants and children in low-resource areas. Am J Trop Med Hyg. 2015; 93(1):178–180. pmid:25918207
  3. 3. Global Health Data Exchange. Global burden of disease study 2015 (GBD 2015) Risk Factor Results 1990–2015. Institute for Health Metrics and Evaluation (IHME). Accessed 2017/12/02. Available at http://ghdx.healthdata.org/gbd-results-tool.
  4. 4. Dayal R, Agarwal D. Fever in Children and Fever of Unknown Origin. Indian J Pediatr. 2016; 83(1): 38–43. pmid:25724501
  5. 5. Herlihy JM , D’Acremont V, Hay Burgess DC, Hamer DH. Diagnosis and Treatment of the Febrile Child. In: Black RE, Laxminarayan R, Temmerman M, Walker N, editors. Reproductive, Maternal, Newborn, and Child Health: Disease Control Priorities, Third Edition (Volume 2). Washington (DC): The International Bank for Reconstruction and Development / The World Bank; 2016 Apr 5. Chapter 8.
  6. 6. Mahende C, Ngasala B, Lusingu J, Butichi A, Lushino P, Lemnge M et al. Aetiology of Acute Febrile Episodes in Children Attending Korogwe District Hospital in North-Eastern Tanzania. Plos. 2014; 9(8). pmid:25090651
  7. 7. Academics College of Infectious and Tropical Diseases. ePILLY trop. Infectious and Tropical Diseases. 2016. 976p. French file. https://www.infectiologie.com/UserFiles/File/formation/epilly-trop/epillytrop2016.pdf.
  8. 8. Bréhin C, Honorat R, Cortey C, Debuisson C, Micheai P, Audouin-Pajot C, et al. Childhood fever. EMC—Pédiatrie/Maladies infectieuses. 2018;13 (n° 2). French file. https://www.elsevier.com/__data/assets/pdf_file/0009/997317/04-42116_4-210-C-10.pdf.
  9. 9. Baraff LJ. Management of fever without source in infants and children. Ann Emerg Med. 2000; 36(6):602–14. pmid:11097701
  10. 10. Gervaix A, Caflisch M, Suter S. Management of febrile children without localizing signs of an infectious focus. Arch Pediatr 2001; 8(3):324–30. French file.
  11. 11. Maze MJ, Bassat Q, Feasey NA, Mandomando I, Musicha P, Crump JA. The epidemiology of febrile illness in sub-Saharan Africa: implications for diagnosis and management. Clin Microbiol Infect. 2018; 24(8): 808–814. pmid:29454844
  12. 12. Prasad N, Murdoch DR, Reyburn H, Crump JA. Etiology of severe febrile illness in low- and middle-income countries: a systematic review. PLoS One 2015;10: e0127962. pmid:26126200
  13. 13. Gething PW, Kirui VC, Alegana VA, Okiro EA, Noor AM, Snow RW. Estimating the Number of Paediatric Fevers Associated with Malaria Infection Presenting to Africa’s Public Health Sector in 2007. Whitty CJM, éditeur. Plos Med. 2010; 7(7): e1000301. pmid:20625548
  14. 14. D’Acremont V, Lengeler C, Genton B. Reduction in the proportion of fevers associated with Plasmodium falciparum parasitaemia in Africa: a systematic review. Malar J. 2010; 9:240. pmid:20727214
  15. 15. Chow A., Robinson JL. Fever of unknown origin in children: a systematic review. World J Pediatr 7, 5–10 (2011). https://doi.org/10.1007/s12519-011-0240-5.
  16. 16. Kiemde F, Bonko Mda, Tahita Mc, Lompo P, Rouamba T, Tinto H et al. Accuracy of a Plasmodium falciparum specific histidine-rich protein 2 rapid diagnostic test in the context of the presence of non-malaria fevers, prior anti-malarial use and seasonal malaria transmission. Malar J. 20 2017; 16(1):294. pmid:28728558
  17. 17. Falagas ME, Karageorgopoulos DE, Leptidis J, Korbila IP. MRSA in Africa: filling the global map of antimicrobial resistance. PLoS ONE. 2013; 8:e68024. pmid:23922652
  18. 18. Schnall J, Rajkhowa A, Ikuta K, Rao P, Moore CE. Surveillance and monitoring of antimicrobial resistance: limitations and lessons from the GRAM project. BMC Med. 2019 Sep 20; 17(1):176. pmid:31537199
  19. 19. World Health Organization (WHO). Regional Office for the Western Pacific. (‎2011)‎. Non-Malarial Febrile Illness Study Final Review Workshop Cambodia and Lao People’s Democratic Republic, Vientiane, Lao People’s Democratic Republic, 12–13 January 2011: report. 10p. WHO Regional Office for the Western Pacific. https://apps.who.int/iris/handle/10665/207140.
  20. 20. Iroh T, Obaro SK, Storch G. Challenges in the Etiology and Diagnosis of Acute Febrile Illness in Children in Low- and Middle-Income Countries. J Pediatric Infect Dis Soc. 2016; 5(2):190‑205. pmid:27059657
  21. 21. Wong SY, Lam MS. Pyrexia of unknown origin—approach to management. Singapore Med J. 1995; 36(2):204–8. pmid:7676269
  22. 22. Dienye PO, Gbeneol PK. Fever of unknown origin in an infant with an unexpected blood film report: a case report. Rural Remote Health. 2010; 10(1):1242. pmid:20050716
  23. 23. Cameroonian Ministry of Public Health. Malaria management manual for the use of health workers. 2013. 71p. French file. Accessed in 2021. http://cdnss.minsante.cm/sites/default/files/GUIDE%20PEC%20%20PALUDISME%202019%2018%20JUIN.pdf.
  24. 24. Kwenti TE, Kwenti TDB, Latz A, Njunda LA, Nkuo-Akenji T. Epidemiological and clinical profile of paediatric malaria: a cross sectional study performed on febrile children in five epidemiological strata of malaria in Cameroon. BMC Infect Dis. 2017; 17(1):499. pmid:28716002
  25. 25. Teller J, Bernasconi R, Simonetti GD, Lava SAG. Performance of axillary and rectal temperature measurement in private pediatric practice. Eur J Pediatr. 2019; 178(10):1501–1505. pmid:31396691
  26. 26. Gervais A, Pugin J. Gervaix A., Pugin J Usefulness of plasma procalcitonin assay in adults and children. Rev Med Suisse. 2005; 9. no. 013, 872–877. French file. Accessed in 2020. https://www.revmed.ch/view/627150/4875499/RMS_13_872.pdf.
  27. 27. Fernández Lopez A, Luaces Cubells C, García García JJ, Fernández Pou J. Spanish Society of Pediatric Emergencies. Procalcitonin in pediatric emergency departments for the early diagnosis of invasive bacterial infections in febrile infants: results of a multicenter study and utility of a rapid qualitative test for this marker. Pediatr Infect Dis J. 2003; 22(10):895–903.
  28. 28. Bouguila J, Khalef I, Charfeddine B, Ben Rejeb M, Chatti K, Limam K, et al. Comparative study of C-reactive protein and procalcitonin in the severity diagnosis of pyelonephritis in children. Pathol Biol (Paris). 2013 Jun;61(3):93–8. French file.
  29. 29. Andreola B, Bressan S, Callegaro S, Liverani A, Plebani M, Da Dalt L. Procalcitonin and C-reactive protein as diagnostic markers of severe bacterial infections in febrile infants and children in the emergency department. Pediatr Infect Dis J. 2007; 26(8):672–7. pmid:17848876
  30. 30. Crump JA, Morrissey AB, Nicholson WL, Massung RF, Stoddard RA, Galloway RL et al. Etiology of severe non-malaria febrile illness in Northern Tanzania: a prospective cohort study. PLoS Negl Trop Dis. 2013; 7(7):e2324. pmid:23875053
  31. 31. D’Acremont V, Kilowoko M, Kyungu E, Philipina S, Sangu W, Kahama-Maro J et al. Beyond malaria—causes of fever in outpatient Tanzanian children. N Engl J Med. 2014; 370 (9): 809–17. pmid:24571753
  32. 32. Reyburn H, Mbatia R, Drakeley C, Carneiro I, Mwakasungula E, Mwerinde O, et al. Overdiagnosis of malaria in patients with severe febrile illness in Tanzania: a prospective study. BMJ. 2004; 329(7476):1212. pmid:15542534
  33. 33. Archibald LK, Reller LB. Clinical microbiology in developing countries. Emerg Infect Dis. 2001 Mar-Apr;7(2):302–5. pmid:11294729
  34. 34. Mouteng Engoudou V, Moukoudi Amadou A, Tchokoteu PF. Febrile Accesses of the Child at the Yaoundé General Hospital: Symptomatic Causes and Treatment. Méd Afr noire. 1996; 43(8/9):460–463.
  35. 35. Cochran W.G. Sampling techniques. 3rd edition. New York (NY). John Wiley and Sons; 1977.
  36. 36. Chakraborty RK, Burns B. Systemic Inflammatory Response Syndrome. 2021 Jul 2. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2021 Jan–. pmid:31613449.
  37. 37. Pilly E. Infectious and tropical diseases: Acute fever in children and adults. 2020. 27th edition. 720p. ISBN: 978-2-916641-68-3. French file.
  38. 38. World Health Organization (WHO). Severe falciparum malaria. World Health Organization, Communicable Diseases Cluster. Trans R Soc Trop Med Hyg. 2000; 94 Suppl 1:S1–90. pmid:11103309
  39. 39. Xie X, Li M, Xiong TT, Wang R, Xiao L. Nested case-control study of multiple serological indexes and Brighton pediatric early warming score in predicting death of children with sepsis. World J Clin Cases. 2019 Feb 26;7(4):431–440. pmid:30842954
  40. 40. Bally F, Troillet N. Urinary tract infection: a tailored diagnosis. Rev Med Suisse 2008; 6 (174): 2145–2148. French file.
  41. 41. Médecins sans frontiers (medical humanitarian organization). Clinical guidelines: Diagnosis and treatment manual. 2019. Accessed in 2021. French file. https://www.medbox.org/preview/5da470c3-aa98-40f9-9fd6-19021fcc7b87/doc.pdf
  42. 42. Kiemde F, Tahita MC, Lompo P, Rouamba T, Some AM, Tinto H, et al. Treatable causes of fever among children under five years in a seasonal malaria transmission area in Burkina Faso. Infect Dis Poverty. 2018; 7(1):60. pmid:29891004
  43. 43. Cisse L, Lagou D, Ouattara GJ, Azagoh KR, Nandiolo-Anelone R, Coulibaly P et al. Childhood urinary tract infection during a feverish attack at the general hospital of Port-Bouët (Abidjan Côte d’Ivoire). Revue CAMES Sante. 2017; 5(1):105–109. French file. file:///C:/Users/DREBOU~1/AppData/Local/Temp/1156-2682-1-PB.pdf.
  44. 44. O’Meara WP, Mott JA, Laktabai J, Wamburu K, Fields B, Armstrong J et al. Etiology of pediatric fever in western Kenya: a case-control study of falciparum malaria, respiratory viruses, and streptococcal pharyngitis. Am J Trop Med Hyg. 2015; 92(5):1030–7. pmid:25758648
  45. 45. Penda CI, Moukoko ECE, Youmba JFN, Mpondo EM. Characterization of pharmaceutical medication without a medical prescription in children before hospitalization in a resource-limited setting, Cameroon. Pan Afr Med J. 2018; 30:302. pmid:30637086
  46. 46. Doumbia MN. Integrated management of childhood illnesses in the pediatric outpatient department of the Gabriel Touré Hospital. Medical thesis. Bamako, Faculty of Medicine, Pharmacy and Odonto-Stomatology. University of Bamako, Mali. 2001; N°119. 160p. Accessed in 2021. French file. http://www.keneya.net/fmpos/theses/2001/pdf/01M119.pdf.
  47. 47. Ouonogo S. Morbi-mortality in the pediatric department at health center reference of the municipality II of Bamako district. Medical thesis. Bamako, Faculty of Medicine, Pharmacy and Odonto-Stomatology. University of Bamako, Mali. 2018; N°27. 75p. Accessed in 2021. French file. https://www.bibliosante.ml/bitstream/handle/123456789/1956/18M134.pdf?sequence=1&isAllowed=y.
  48. 48. Djeutchouang Sayang C. Interest of the use of rapid diagnostic tests for malaria on the cost and effectiveness of the management of febrile patients in Yaoundé, Cameroon. Medical thesis. Faculty of Medecine of Aix Marseille 2, University of the Méditerranée, France. 2010; 78p. Accessed in 2020. French file.
  49. 49. Obossi-Seringbe G, Diemer Ch, Mbongo-Zindamoyen AN, Vohito MD, Moyen G, Siopathis RM. Prolonged fevers in children: experience of the C.H.U of Bangui (Central African Republic). Médecine d’Afrique Noire 2002; 49(7): 346–350. French file.
  50. 50. Fatou LY, Keita Y, Niang B, Camara B, Ly Ba A, Dème LYI et al. Epidemiological profile of consultants admitted to pediatric medical emergencies (urgent maters) ard of the national hospital centerof Pikine. Rev Afr Malgache Rech Sci Santé. 2017; 4(2). French file. http://publication.lecames.org/index.php/sante/article/viewFile/927/632.
  51. 51. Engle-Stone R, Nankap M, Ndjebayi AO, Erhardt JG, Brown KH. Plasma ferritin and soluble transferrin receptor concentrations and body iron stores identify similar risk factors for iron deficiency but result in different estimates of the national prevalence of iron deficiency and iron-deficiency anemia among women and children in Cameroon. J Nutr. 2013; 143(3):369–77. pmid:23343673
  52. 52. National Institute of Statistics. National survey on the indicators of malaria in Cameroon in 2011. Report from the Ministry of Public Health, the National Malaria Control Program and the National Institute of Statistics. 2012. 97p. Accessed in 2021. Freench file. https://www.malariasurveys.org/documents/Rapport_EIP_14juillet%202012.pdf.
  53. 53. Moyen G., Okandze-Elenga JP, Nzingoula S. Prolonged fevers in children at Brazzaville University Hospital: about 168 cases. Fièvre chez l’enfant à propos de 168 cas colligés au CHU de Brazzaville; Med Afr noire. 1993; 40 (6). Accessed in 2021. French file. http://www.santetropicale.com/Resume/64003.pdf.
  54. 54. Waddington C. Does earmarked donor funding make it more or less likely that developing countries will allocate their resources towards programmes that yield the greatest health benefits?. Bull World Health Organ. 2004;82(9):703–708. pmid:15628209
  55. 55. Okiro EA, Snow RW. The relationship between reported fever and Plasmodium falciparum infection in African children. Malar J. 2010; 19;9:99. pmid:20398428
  56. 56. World Health Organization (WHO). World Malaria Report 2018. Accessed in 2019. 210p. http://apps.who.int/iris/bitstream/handle/10665/275867/9789241565653-eng.pdf
  57. 57. Amboko BI, Ayieko P, Ogero M, Julius T, Irimu G, English M. Malaria investigation and treatment of children admitted to county hospitals in western Kenya. Malar J. 2016;15:506 pmid:27756388
  58. 58. Sserwanga A, Sears D, Kapella BK, Kigozi R, Rubahika D, Staedke SG, et al. Anti-malarial prescription practices among children admitted to six public hospitals in Uganda from 2011 to 2013. Malar J. 2015;14:331. pmid:26306395
  59. 59. D’Acremont V, Malila A, Swai N, Tillya R, Kahama-Maro J, Lengeler C, et al. Withholding antimalarials in febrile children who have a negative result for a rapid diagnostic test. Clin Infect Dis. 2010;51:506–511. pmid:20642354
  60. 60. Mubi M, Janson A, Warsame M, Mårtensson A, Källander K, Petzold MG, et al. Malaria rapid testing by community health workers is effective and safe for targeting malaria treatment: randomised cross-over trial in Tanzania. PLoS ONE. 2011;6:e19753. pmid:21750697
  61. 61. Elong Ekambi GA, Okalla Ebongue C, Penda IC, Nnanga Nga E, Mpondo Mpondo E, Eboumbou Moukoko CE. Knowledge, practices and attitudes on antibiotics use in Cameroon: Self-medication and prescription survey among children, adolescents and adults in private pharmacies. PLoS One. 2019; 14(2):e0212875. pmid:30818373
  62. 62. Oppong TB, Yang H, Amponsem-Boateng C, Kyere EKD, Abdulai T, Duan G et al. Enteric pathogens associated with gastroenteritis among children under 5 years in sub-Saharan Africa: a systematic review and meta-analysis. Epidemiol Infect. 2020; 148:e64. pmid:32115003
  63. 63. Dodoo AN, Fogg C, Asiimwe A, Nartey ET, Kodua A, Tenkorang O, et al. Pattern of drug utilization for treatment of uncomplicated malaria in urban Ghana following national treatment policy change to artemisinin-combination therapy. Malar J. 2009;8:2. pmid:19123926
  64. 64. Ampadu HH, Asante KP, Bosomprah S, Akakpo S, Hugo P, Gardarsdottir H, et al. Prescribing patterns and compliance with World Health Organization recommendations for the management of severe malaria: a modified cohort event monitoring study in public health facilities in Ghana and Uganda. Malar J. 2019 Feb 8;18(1):36. pmid:30736864