Etiology of severe childhood pneumonia in the Gambia, West Africa, determined by conventional and molecular microbiological analyses of lung and pleural aspirate samples.

Molecular analyses of lung aspirates from Gambian children with severe pneumonia detected pathogens more frequently than did culture and showed a predominance of bacteria, principally Streptococcus pneumoniae, >75% being of serotypes covered by current pneumococcal conjugate vaccines. Multiple pathogens were detected frequently, notably Haemophilus influenzae (mostly nontypeable) together with S. pneumoniae

Clinical features of severe malaria associated with death: a 13-year observational study in the Gambia.

BACKGROUND: Severe malaria (SM) is a major cause of death in sub-Saharan Africa. Identification of both specific and sensitive clinical features to predict death is needed to improve clinical management. METHODS: A 13-year observational study was conducted from 1997 through 2009 of 2,901 children with SM enrolled at the Royal Victoria Teaching Hospital in The Gambia to identify sensitive and specific predictors of poor outcome in Gambian children with severe malaria between the ages 4 months to 14 years. We have measured the sensitivity and specificity of clinical features that predict death or development of neurological sequelae. FINDINGS: Impaired consciousness (odds ratio {OR} 4.4 [95% confidence interval {CI}, 2.7-7.3]), respiratory distress (OR 2.4 [95%CI, 1.7-3.2]), hypoglycemia (OR 1.7 [95%CI, 1.2-2.3]), jaundice (OR 1.9 [95%CI, 1.2-2.9]) and renal failure (OR 11.1 [95%CI, 3.3-36.5]) were independently associated with death in children with SM. The clinical features that showed the highest sensitivity and specificity to predict death were respiratory distress (area under the curve 0.63 [95%CI, 0.60-0.65]) and impaired consciousness (AUC 0.61[95%CI, 0.59-0.63]), which were comparable to the ability of hyperlactatemia (blood lactate>5 mM) to predict death (AUC 0.64 [95%CI, 0.55-0.72]). A Blantyre coma score (BCS) of 2 or less had a sensitivity of 74% and specificity of 67% to predict death (AUC 0.70 [95% C.I. 0.68-0.72]), and sensitivity and specificity of 74% and 69%, respectively to predict development of neurological sequelae (AUC 0.72 [95% CI, 0.67-0.76]).The specificity of this BCS threshold to identify children at risk of dying improved in children less than 3 years of age (AUC 0.74, [95% C.I 0.71-0.76]). CONCLUSION: The BCS is a quantitative predictor of death. A BCS of 2 or less is the most sensitive and specific clinical feature to predict death or development of neurological sequelae in children with SM

An epidemiological study of RSV infection in the Gambia.

OBJECTIVE: To describe the epidemiology of respiratory syncytial virus (RSV) infection in a developing country. METHODS: The work was carried out in three hospitals for primary cases and in the community for secondary cases in the western region of the Gambia, West Africa. RSV infection was diagnosed by immunofluorescence of nasopharyngeal aspirate samples in children younger than two years admitted to hospital with acute lower respiratory infection (ALRI). Routine records of all children with ALRI were analysed, and the incidence rates of ALRI, severe RSV-associated respiratory illness and hypoxaemic RSV infections were compared. A community-based study was undertaken to identify secondary cases and to obtain information about spread of the virus. FINDINGS: 4799 children with ALRI who were younger than two years and lived in the study area were admitted to the study hospitals: 421 had severe RSV-associated respiratory illness; 55 of these were hypoxaemic. Between 1994 and 1996, the observed incidence rate for ALRI in 100 children younger than one year living close to hospital was 9.6 cases per year; for severe RSV-associated respiratory illness 0.83; and for hypoxaemic RSV-associated respiratory illness 0.089. The proportion of all ALRI admissions due to RSV was 19%. Overall, 41% of children younger than five years in compounds in which cases lived and 42% in control compounds had evidence of RSV infection during the surveillance period. CONCLUSION: RSV is an important cause of ALRI leading to hospital admission in the Gambia. Morbidity is considerable and efforts at prevention are worthwhile

An epidemiological study of RSV infection in the Gambia

OBJECTIVE: To describe the epidemiology of respiratory syncytial virus (RSV) infection in a developing country. METHODS: The work was carried out in three hospitals for primary cases and in the community for secondary cases in the western region of the Gambia, West Africa. RSV infection was diagnosed by immunofluorescence of nasopharyngeal aspirate samples in children younger than two years admitted to hospital with acute lower respiratory infection (ALRI). Routine records of all children with ALRI were analysed, and the incidence rates of ALRI, severe RSV-associated respiratory illness and hypoxaemic RSV infections were compared. A community-based study was undertaken to identify secondary cases and to obtain information about spread of the virus. FINDINGS: 4799 children with ALRI who were younger than two years and lived in the study area were admitted to the study hospitals: 421 had severe RSV-associated respiratory illness; 55 of these were hypoxaemic. Between 1994 and 1996, the observed incidence rate for ALRI in 100 children younger than one year living close to hospital was 9.6 cases per year; for severe RSV-associated respiratory illness 0.83; and for hypoxaemic RSV-associated respiratory illness 0.089. The proportion of all ALRI admissions due to RSV was 19%. Overall, 41% of children younger than five years in compounds in which cases lived and 42% in control compounds had evidence of RSV infection during the surveillance period. CONCLUSION: RSV is an important cause of ALRI leading to hospital admission in the Gambia. Morbidity is considerable and efforts at prevention are worthwhile

Clinical features in Gambian children with severe malaria independently associated with a fatal outcome.

<p>The multiple logistic regression analysis included 1,931 observations with complete data (5 degrees of freedom) χ² = 180.4 (P<0.001); pseudo-R2 = 0.10; Goodness-of- fit, statistics: Hosmer-Lemeshow  = 4.47 (P = 0.61). AUC =  area under the curve.</p

Prevalence of clinical features in Gambian children admitted to hospital with severe malaria.

<p>variables were defined as follows: Prostration, inability to sit (children aged >7 months); Impaired consciousness, BCS ≤4; Coma, BCS ≤2; Repeated convulsions, >3 in 24 h; Severe anemia (with any parasite density), Hb <5 g/dL or PCV <15; Respiratory distress, abnormal respiratory pattern (respiratory pattern values > or  = 3), grunting or use of accessory muscles of respiration, or abnormally deep (acidotic) breathing; Hypoglycemia ≤2.2 mM; Hyperlactatemia, plasma lactate >5 mM; Hyperpyrexia, temp>40°C; Hyperparasitemia, <i>P. falciparum</i> parasite density >500,000 /µl; Hypotensive shock, circulatory collapse with systolic blood pressure <50 mmHg; Hepatomegaly >2 cm below right costal margin; Splenomegaly >2 cm below left costal margin.</p

Baseline Characteristics of the Study Population.

<p>Baseline Characteristics of the Study Population.</p

Clinical features associated with death in children with SM.

<p>Odds of death and blood lactate concentration in children with SM. Data show the odds ratio (95%CI) of death in relation to increasing concentrations of blood lactate in 467 children with SM (a). Odds of death and Blantyre coma score. OR and P values are relative to BCS = 5 (b). Specificity and sensitivity of different blood lactate concentration cut-off values (c) and coma scores measured by BCS (d) to predict death. AUC =  area under the curve,* P<0.05, ***P<0.001.</p

Meeting oxygen needs in Africa: an options analysis from the Gambia

OBJECTIVE: To compare oxygen supply options for health facilities in the Gambia and develop a decision-making algorithm for choosing oxygen delivery systems in Africa and the rest of the developing world. METHODS: Oxygen cylinders and concentrators were compared in terms of functionality and cost. Interviews with key informants using locally developed and adapted WHO instruments, operational assessments, cost-modelling and cost measurements were undertaken to determine whether oxygen cylinders or concentrators were the better choice. An algorithm and a software tool to guide the choice of oxygen delivery system were constructed. FINDINGS: In the Gambia, oxygen concentrators have significant advantages compared to cylinders where power is reliable; in other settings, cylinders are preferable as long as transporting them is feasible. Cylinder costs are greatly influenced by leakage, which is common, whereas concentrator costs are affected by the cost of power far more than by capital costs. Only two of 12 facilities in the Gambia were found suitable for concentrators; at the remaining 10 facilities, cylinders were the better option. CONCLUSION: Neither concentrators nor cylinders are well suited to every situation, but a simple options assessment can determine which is better in each setting. Nationally this would result in improved supply and lower costs by comparison with conventional cylinders alone, although ensuring a reliable supply would remain a challenge. The decision algorithm and software tool designed for the Gambia could be applied in other developing countries