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By the selection of the checkboxes and entering the value of Your patient's serum potassium concentration you can calculate the probability of HNF1B mutation according to our Random Forest predictive model. Additionally our application enables the calculation of Faguer's score and comparison with Random Forest model.
Select the checkbox if Your patient has the corresponding trait
By selecting the checkbox you can decide which model you choose
Select the corresponding checkbox. Select 'None' if no kidney affected or if answer NOT known!
Select the corresponding checkbox. Select 'None' if no answer NOT known!
Faguer's score needs at least one finding. Select Left, Right or Both for a kidney item, or Yes for one of the other items.
Disclaimer This prediction model and its corresponding calculator have been derived from a cohort of children and young adults with CAKUT with normal or mildly compromised kidney function. Therefore, the assessment of the presence of HNF1B mutation may not be applicable to adults or those with more advanced kidney failure. Please refer to the original publication for detailed characteristics of the population used for model discovery. It is important to note that this tool has not been externally validated, thus we recommend treating each patient individually. Besides from the abovementioned abnormalities, an assessment of a patient should include an evaluation of other extrarenal features that may provide information about the presence of HNF1B mutation. This calculator is designed to assess the probability of HNF1B mutation in a child presenting with congenital anomalies of the kidneys and urinary tract (CAKUT). The calculation is based on a random forest model, which includes hypermagnesuria (FEMg > 5%), hypomagnesemia, bilateral kidney anomaly, pancreas malformation, and serum potassium level. In order to achieve a good model performance, we highly recommend the use of age-dependent lower limits for serum Mg (references below) to define hypomagnesemia, as well as detailed sonographic assessment of both kidneys (length, presence of cysts, echogenicity, cortico-medullary differentiation) and the pancreas.