Schistosoma haematobium infection is associated with increased urine foam.

We compared urine microscopy and dipstick results for urine foam from 59 children in a Schistosoma haematobium-endemic area in a blinded manner. The sensitivity and specificity, respectively, for diagnosing S. haematobium compared with microscopy was: 74% and 72% for the shake test; 61% and 97% for microscopic hematuria; and 43% and 83% for proteinuria. When >17 eggs/10 mL urine was detected on microscopy, the sensitivity and specificity, respectively, were: 100% and 72% for the shake test; 90% and 97% for microscopic hematuria; and 80% and 83% for proteinuria. Urine foam height >34 mL was significantly more likely to have S. haematobium eggs detected on microscopy (P = 0.001) than urine foam ≤34 mL, indicating that S. haematobium-infected urine is associated with increased urine foam.

Evaluation of a novel rapid diagnostic test for Schistosoma haematobium based on the detection of human immunoglobulins bound to filtered Schistosoma haematobium eggs.

OBJECTIVES: To determine whether the detection of human IgG bound to Schistosoma haematobium eggs from filtered urine could be used as a rapid diagnostic test (RDT-Sh). METHODS: We filtered 160 urine samples from children in the Kwale District of Kenya to isolate S. haematobium eggs and used anti-human IgG antibody conjugated to horseradish peroxidase to bind to the human IgG attached to the eggs. We then added 3,3'5,5'-tetramethylbenzidine base (TMB), which turns blue in the presence of horseradish peroxidase to detect the S. haematobium eggs. The RDT-Sh was compared in a blinded manner to urine microscopy. RESULTS: The RDT-Sh was positive in 89% of urine samples containing >1 egg/10 ml (58/65 samples) and 97% of urine samples containing >11 eggs/10 ml urine (35/36 samples) seen by microscopy. The RDT-Sh was negative 79% of the time when no eggs were seen on urine microscopy, but because up to three times more urine was used for the RDT-Sh, there were likely cases in which eggs were on the RDT-Sh filter but not detected by microscopy. We used latent class analysis incorporating urine microscopy, haematuria, proteinuria and RDT-Sh results to determine an overall 97% sensitivity and 78% specificity for RDT-Sh, 96% and 81% for urine microscopy, 71% and 98% for microscopic haematuria and 46% and 89% for proteinuria, respectively. CONCLUSIONS: The RDT-Sh is quick, inexpensive and easy to perform in the field for the diagnosis of S. haematobium.

Nonalcoholic Fatty liver disease and metabolic syndrome in hypopituitary patients.

BACKGROUND: Increased incidence of cardiovascular mortality and nonalcoholic fatty liver disease (NAFLD) has been reported in hypopituitarism, but previous studies did not correct for obesity in these patients. Therefore, it remained unclear if endocrine deficiency in hypopituitarism is associated with metabolic consequences independent of obesity. This study was designed to determine the burden of cardiovascular disease and NAFLD in hypopituitarism. METHODS: We performed a retrospective case-control analysis of hypopituitary patients at Veterans Affair Medical center, Memphis, from January 1997 to June 2007. After matching for age, gender, obesity, and race, relevant data were abstracted from the subjects' records to determine the presence of hypopituitarism, cardiovascular risk factors, and fatty liver disease. Cases and controls were characterized by descriptive statistics and compared using chi(2) and Student t tests. RESULTS: Hypopituitary patients exhibited higher prevalence of hypertension- 88% versus 78% (P < 0.03), hypertriglyceridemia-80% versus 70% (P = 0.05), low high-density lipoprotein cholesterol-84% versus 70% (P < 0.001), and metabolic syndrome-90% versus 71% (P < 0.001). Patients also had higher mean plasma glucose levels-228 +/- 152 versus 181 +/- 83 mg/dL (P < 0.01). Despite higher preponderance of cardiovascular risk factors in hypopituitary patients, prevalence of cardiovascular morbidity was similar in both groups (P > 0.3). Hypopituitary patients had higher elevations in serum aminotransferase levels and hyperbilirubinemia-24% versus 11% (P < 0.01), as well as higher international normalized ratio (INR) and hypoalbuminemia 40% versus 23% (P < 0.01). CONCLUSIONS: There is an increased prevalence of metabolic syndrome and liver dysfunction consistent with NAFLD in hypopituitarism. Although hypopituitary patients had higher prevalence of cardiovascular risk factors than controls, they were not disproportionately affected by cardiovascular disease.