A cross-sectional study for algorithm in diagnosing simple uncomplicated malaria in children in health facilities without laboratory backup in Nigeria.

AIMS AND OBJECTIVES: The objective of this study was to determine an algorithm for malaria diagnosis using presenting signs and symptoms of children (aged 0-13 years) with uncomplicated malaria in Gwagwalada Area Council of Abuja, Nigeria. MATERIALS AND METHODS: A validated questionnaire was used to obtain relevant data from 400 children diagnosed presumptively of simple malaria by clinicians and 400 other children of similar sex and age considered as not having malaria. Giemsa-stained thick blood films were used to determine parasitaemia. Data obtained was analysed using Epi-Info version 3.3.2. RESULTS: Thirty-eight per cent of children with presumptive diagnosis of malaria had parasitaemia. Fever, rigor, vomiting, jaundice, pallor and spleen enlargement had significant statistical relationship with parasitaemia on bivariate analysis, but only fever (p=0.00), rigor (p=0.00), vomiting (p=0.00), and pallor (p=0.00) maintained the relationship when subjected to logistic regression analysis. But these symptoms individually had low sensitivity and/or specificity. Candidate algorithms (combinations of symptoms) were then successively subjected to bivariate, logistic and validity analyses. Fever with vomiting gave the highest sensitivity (56.2%), specificity (76.4%) and PPV (60.0%) and were therefore adopted as the algorithm of choice. CONCLUSION AND RECOMMENDATIONS: Children presenting with fever and vomiting without any other obvious cause in health facilities without laboratory support in the research area should receive antimalarial treatment, to help reduce the malaria scourge. This algorithm should be field-tested and if found reliable should be adopted to ease the problem of malaria diagnosis in peripheral health facilities.

Clinical predictors of severe malarial anaemia in a holoendemic Plasmodium falciparum transmission area.

Severe malarial anaemia (SMA) is a common complication of Plasmodium falciparum infections, resulting in mortality rates that may exceed 30% in paediatric populations residing in holoendemic transmission areas. One strategy for reducing the morbidity and mortality associated with SMA is to identify clinical predictors that can be readily recognized by caregivers for prompt therapeutic interventions. To determine clinical predictors of SMA, Kenyan children (3-36 months, n = 671) presenting with acute illness at a rural hospital in Siaya District were recruited. Demographic, clinical, laboratory and haematological parameters were measured upon enrolment. As human immunodeficiency virus-1 and bacteraemia promote reduced haemoglobin (Hb) concentrations, children with these infections were excluded from the analyses. Children with P. falciparum mono-infections (n = 355) were stratified into three groups: uncomplicated malaria (Hb >or= 110 g/l); non-SMA (60

Pallor as a sign of anaemia in small Tanzanian children at different health care levels.

BACKGROUND: Anaemia is a major complication of Plasmodium falciparum malaria among small children in sub-Saharan Africa. We studied the performance of the Integrated Management of Childhood Illness (IMCI) recommended assessment of no/some/severe pallor as predictor of anaemia in health surveys at community level and in clinical practice in an out patient department (OPD) and in a hospital ward in rural Tanzania. METHODS: The study was undertaken among 6-36 months old children. Pallor was evaluated as a combined assessment of conjunctiva, tongue and palms and categorised as no, some or severe pallor. Packed cell volume (PCV) was measured and related to pallor. FINDINGS: A total of 740 examinations were performed at village, OPD and in the hospital ward. The prevalences of severe pallor were 0%, 1.5% and 7% respectively. The prevalences of any pallor were 14%, 41% and 86%. The prevalences of severe anaemia (PCV<21%) were 1%, 5% and 81% and of any anaemia (PCV<33%) 68%, 73% and 98%. Severe pallor could not detect severe anaemia. The sensitivities were only 0%, 0% and 8%. The sensitivities of any pallor to detect severe anaemia were however 86% and 98% for children at the health care facility level, but still of relatively poor predictive values since the specificities were only 61% and 68%. INTERPRETATION: Division of pallor into some or severe degrees was of no use at any health care level. The identification of any pallor was of no use at village level, but it may possibly be of some value as a screening test for severe anaemia at health care facilities, if additional assessment is included in view of the low specificity and positive predictive value of the finding.

Algorithm for the diagnosis of anaemia without laboratory facilities among small children in a malaria endemic area of rural Tanzania.

BACKGROUND: Anaemia among small children in tropical Africa is common and often caused by infection with Plasmodium falciparum. The diagnosis of anaemia is difficult without a laboratory estimation of haemoglobin. The aim of this study was to examine if clinical findings related to malaria and anaemia would help to detect moderate and/or severe anaemia in children in rural Tanzania. METHODS: Children between 6 and 36 months were examined by health workers in an Out Patient Department (OPD) to detect severe anaemia (packed cell volume, PCV< or =20%) and in a cross sectional survey at village level to identify moderate anaemia (PCV 21-25%). History of recent fever and treatments was recorded and a clinical examination was performed. FINDINGS: In the survey, comparison of 65 moderately anaemic children with 373 mild/non anaemic children revealed no differences in history of fever or in the clinical examination. In the OPD comparison of 100 severely anaemic children with 116 non-severely anaemic control children revealed that pallor, respiratory rate, number of fever days last week, deteriorated general condition, heart rate, age, splenomegaly, low body weight and elevated body temperature were all indicators of severe 'anaemia, only pallor, respiratory rate, fever days and palpable spleen however, remained associated with severe anaemia in multiple regression analysis. The combination of any pallor and either respiratory rate >55/min or fever >3 days, could predict severe anaemia with a sensitivity of 96% and a specificity of 71%. This was better than the currently recommended signs of severe pallor or an approximation of the Integrated Management of Childhood Illness (IMCI) criteria's for referral of children. INTERPRETATION: At primary health care level detection of severe anaemia can be improved by information about fever duration and determination of respiratory rate in children with pallor.

Clinical algorithm for malaria during low and high transmission seasons.

OBJECTIVES: To assess the proportion of children with febrile disease who suffer from malaria and to identify clinical signs and symptoms that predict malaria during low and high transmission seasons. STUDY DESIGN: 2490 children aged 2 to 59 months presenting to a health centre in rural Ethiopia with fever had their history documented and the following investigations: clinical examination, diagnosis, haemoglobin measurement, and a blood smear for malaria parasites. Clinical findings were related to the presence of malaria parasitaemia. RESULTS: Malaria contributed to 5.9% of all febrile cases from January to April and to 30.3% during the rest of the year. Prediction of malaria was improved by simple combinations of a few signs and symptoms. Fever with a history of previous malarial attack or absence of cough or a finding of pallor gave a sensitivity of 83% in the high risk season and 75% in the low risk season, with corresponding specificities of 51% and 60%; fever with a previous malaria attack or pallor or splenomegaly had sensitivities of 80% and 69% and specificities of 65% and 81% in high and low risk settings, respectively. CONCLUSION: Better clinical definitions are possible for low malaria settings when microscopic examination cannot be done. Health workers should be trained to detect pallor and splenomegaly because these two signs improve the specificity for malaria.