TY - JOUR
T1 - Assessment of urine metabolite biomarkers for the detection of S. haematobium infection in pre-school aged children in a rural community in Zimbabwe
AU - Midzi, Herald
AU - Naicker, Thajasvarie
AU - Vengesai, Arthur
AU - Mabaya, Lucy
AU - Muchesa, Petros
AU - Mduluza-Jokonya, Tariro L.
AU - Katerere, Aaron Garikai
AU - Kapanga, Donald
AU - Kasambala, Maritha
AU - Mutapi, Francisca
AU - Mduluza, Takafira
N1 - The authors give special thanks to both parents/guardians and PSAC who participated in the study. We extend our gratification to the nurses and community health workers at Mupfure clinic for their professional assistance during the study.
PY - 2024/10
Y1 - 2024/10
N2 - Background Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children. Methods A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers. Results The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of
AB - Background Early diagnosis of urogenital schistosomiasis is key to its control and elimination. The current gold standard microscopic examination techniques lack sensitivity in detecting light Schistosomiasis infections in pre-school aged children thus it is urgent to develop diagnostic tools that may be integrated into control programs. In this study, we evaluated the diagnostic performance of urine metabolite biomarkers using a chemical reagent strip in the detection of S. haematobium infection in pre-school aged children. Methods A case-control study was conducted involving 82 pre-school aged children that were age and sex matched. Urine samples were collected for 3 consecutive days and were evaluated using urine filtration gold techniques as the gold standard method. The samples were simultaneously measured for metabolite biomarkers specifically haematuria, proteins, ketones, nitrites, glucose, bilirubin and urobilinogen using chemical reagent strips. Pearson correlation test was used to measure the relationship between S. haematobium infection and the urine metabolite biomarkers. Results The diagnostic performance of urine biomarkers were correlated with the microscopic examination urine filtration technique. Haematuria (r = 0.592, p = 0.0001) and proteinuria (r = 0.448, p = 0.0001) were correlated to S. haematobium infection. Negative correlations with p > 0.05 were recorded for ketones and urobilinogen. Highest sensitivity was 65.9 % (CI, 49.4 - 79.9) for haematuria whilst protein (albumin) biomarker had a lower specificity value of 43.9 % (28.5 – 60.3). Inversely, highest sensitivity was 87.8 % (73.8 – 95.9) for proteinuria whilst haematuria had a lower sensitivity value of 82.9 % (67.9 – 92.8). The positive predictive values ranged from 57.7 % (41.6 – 72.2) to 79.4 % (65.5 - 88.7) whereas negative predictive values ranged from 70.8 % (60.8 – 79.2) to 52.0 % (48.7 – 55.3). With respect to diagnostic efficiency, haematuria had a fair diagnostic performance with an area under the curve of 0.76 followed by proteinuria with proteinuria whilst the remaining metabolites fail discriminating ability with an area under the curve of
KW - Metabolites
KW - Biomarkers
KW - Diagnosis
KW - S. haematobium
U2 - 10.1016/j.actatropica.2024.107327
DO - 10.1016/j.actatropica.2024.107327
M3 - Article
SN - 0001-706X
VL - 258
JO - Acta Tropica
JF - Acta Tropica
M1 - 107327
ER -