Emphysematous pyelonephritis in an infant from Sokoto, north-western Nigeria.

INTRODUCTION: Emphysematous pyelonephritis is a life-threatening necrotising bacterial infection of the kidneys. It is rare among children and can be fatal if not promptly identified and treated. CASE PRESENTATION: A 7-month-old male infant presented to the Emergency Paediatric Unit of Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria, on 12 November 2019 with a 5-day history of fever and vomiting, and a 3-day history of a progressively enlarging, left-side abdominal mass. There was associated excessive crying on micturition, refusal to feed and weight loss. He looked ill and was in respiratory distress, irritable, febrile (38.8 °C), moderately dehydrated and pale. His weight and length were 5.5 kg and 64 cm. He had a tender, firm and ballotable abdominal mass on the left flank measuring 8 cm × 10 cm. His pulse rate was 140 beats/min, blood pressure 60/40 millimetres of mercury and respiratory rate was 65 cycles/min. He had widespread coarse crepitations and normal heart sounds on chest auscultation. MANAGEMENT AND OUTCOME: An initial diagnosis of sepsis was made. Other considerations were nephroblastoma and neuroblastoma. Ceftriaxone and blood transfusion were commenced with subsequent administration of intravenous fluids. Further radiologic investigations revealed emphysematous pyelonephritis. The patient had percutaneous drainage and extended spectrum ß-lactamase-producing Escherichia coli (sensitive to meropenem) which was isolated from the aspirate culture after 48 h of incubation. Meropenem could not be commenced because of non-availability and high cost. The patient subsequently deteriorated and died from septic shock. CONCLUSION: Emphysematous pyelonephritis has a fulminant course when not diagnosed promptly and treated adequately.

Risk factors for diagnosed noma in northwest Nigeria: A case-control study, 2017.

BACKGROUND: Noma (cancrum oris), a neglected tropical disease, rapidly disintegrates the hard and soft tissue of the face and leads to severe disfiguration and high mortality. The disease is poorly understood. We aimed to estimate risk factors for diagnosed noma to better guide existing prevention and treatment strategies using a case-control study design. METHODS: Cases were patients admitted between May 2015 and June 2016, who were under 15 years of age at reported onset of the disease. Controls were individuals matched to cases by village, age and sex. Caretakers answered the questionnaires. Risk factors for diagnosed noma were estimated by calculating unadjusted and adjusted odds ratios (ORs) and respective 95% confidence intervals (CI) using conditional logistic regression. FINDINGS: We included 74 cases and 222 controls (both median age 5 (IQR 3, 15)). Five cases (6.5%) and 36 (16.2%) controls had a vaccination card (p = 0.03). Vaccination coverage for polio and measles was below 7% in both groups. The two main reported water sources were a bore hole in the village (cases n = 27, 35.1%; controls n = 63, 28.4%; p = 0.08), and a well in the compound (cases n = 24, 31.2%; controls n = 102, 45.9%; p = 0.08). The adjusted analysis identified potential risk and protective factors for diagnosed noma which need further exploration. These include the potential risk factor of the child being fed pap every day (OR 9.8; CI 1.5, 62.7); and potential protective factors including the mother being the primary caretaker (OR 0.08; CI 0.01, 0.5); the caretaker being married (OR 0.006; CI 0.0006, 0.5) and colostrum being given to the baby (OR 0.4; CI 0.09, 2.09). INTERPRETATION: This study suggests that social conditions and infant feeding practices are potentially associated with being a diagnosed noma case in northwest Nigeria; these findings warrant further investigation into these factors.

Predictors of malaria in febrile children in Sokoto, Nigeria.

BACKGROUND: Presumptive diagnosis of malaria is widespread, even where microscopy is available. As fever is very nonspecific, this often leads to over diagnosis, drug wastage and loss of opportunity to consider alternative causes of fever, hence the need to improve on the clinical diagnosis of malaria. MATERIALS AND METHODS: In a prospective cross-sectional comparative study, we examined 45 potential predictors of uncomplicated malaria in 800 febrile children (0-12 years) in Sokoto, Nigeria. We developed a clinical algorithm for malaria diagnosis and compared it with a validated algorithm, Olaleye's model. RESULTS: Malaria was confirmed in 445 (56%). In univariate analysis, 13 clinical variables were associated with malaria. In multivariate analysis, vomiting (odds ratio, OR 2.6), temperature ≥ 38.5°C (OR 2.2), myalgia (OR 1.8), weakness (OR 1.9), throat pain (OR 1.8) and absence of lung crepitations (OR 5.6) were independently associated with malaria. In children over age 3 years, any 3 predictors had a sensitivity of 82% and specificity of 47% for malaria. An Olaleye score ≥ 5 had a sensitivity of 62% and a specificity of 51%. CONCLUSION: In hyperendemic areas, the sensitivity of our algorithm may permit presumptive diagnosis of malaria in children. Algorithm positive cases can be presumptively treated, and negative cases can undergo parasitological testing to determine need for treatment.