ABSTRACT
ObjectiveAutonomic dysfunction is a common and serious complication in patients with early chronic kidney disease （CKD）. Sweat gland dysfunction is an initial sign of autonomic dysfunction. Electrochemical skin conductance （ESC） measurement by reverse iontophoresis and chronoamperometry to assess sweat gland function may detect patients with mild renal insufficiency in healthy population for early intervention and treatment to delay further deterioration of renal function. MethodsAn EZSCAN score （0~100） was calculated using a proprietary algorithm based on the chronoamperometry analysis. A total of 6 661 subjects who received physical examination from the physical examination center of the Second Affiliated Hospital of Zhejiang University School of Medicine from January to October 2020 were enrolled， including 2 075 （31.15%） subjects with reduced renal function （eGFR < 90 mL·min-1·1.73 m-2） as the case group and 4 586 （68.85%） subjects with normal renal function （90 mL·min-1·1.73 m-2≤ eGFR ≤120 mL·min-1·1.73 m-2） as the control group. Lasso regression was used to screen covariates， and the relationship between the risk score and eGFR was analyzed by loess curve and logistic regression. ResultsAfter multivariate adjustment， the risk score was correlated with the risk of eGFR decline. Compared with the group with the lowest risk value （Q1<24）， the OR（95%CI ）of Q2 （25-27）， Q3 （28-47）， and Q4 （48-75） were 1.85 （1.55， 2.21）， 2.53 （2.13， 3.00）， 2.49 （2.13， 2.93）， respectively. The maximum area under the ROC curve is 0.75（0.74，0.76）， the sensitivity is 73.98%， the specificity is 63%， the positive predictive value is 47.49%， the negative predictive value is 84.25%， and the Youden index is 0.369 72， the optimal cutoff value is 25. ConclusionsEZSCAN could be a useful screening tool to identify healthy individuals at increased risk of renal function decline， and the one with an EZSCAN score of more than 25% should undergo diagnostic laboratory testing.
ABSTRACT
The aim of this study was to apply a new type piezo-electric immunosensor in immunology classification for acute leukemia. Based on the plasma-polymerized film and the nanogold particles self-assembly technology, a new type piezo-electric immunosensor was firstly developed to absorb and fix the monoclonal antibodies for detecting leukemia cell antigens in patient blood samples. The results showed that the positive rate of detection with this method was quite close to that with the fluoroimmunoassay which are commonly used in clinic work. There was no significant difference between the positive rates (chi(2) = 3.4, P > 0.05). It is concluded that this piezo-electric immunosensor detection has many advantages, such as convenient operation, real time operation and control, qualitative detection, and less cost. This method can be used for acute leukemia immunology classification.
Subject(s)
Humans , Acute Disease , Antigens, Neoplasm , Biosensing Techniques , Methods , Fluoroimmunoassay , Leukemia , Classification , Allergy and ImmunologyABSTRACT
A new approach for estimating the chemical rank of the three-way array called the principal norm vector orthogonal projection method has been proposed. The method is based on the fact that the chemical rank of the three-way data array is equal to one of the column space of the unfolded matrix along the spectral or chromatographic mode. A vector with maximum Frobenius norm is selected among all the column vectors of the unfolded matrix as the principal norm vector (PNV). A transformation is conducted for the column vectors with an orthogonal projection matrix formulated by PNV. The mathematical rank of the column space of the residual matrix thus obtained should decrease by one. Such orthogonal projection is carried out repeatedly till the contribution of chemical species to the signal data is all deleted. At this time the decrease of the mathematical rank would equal that of the chemical rank, and the remaining residual subspace would entirely be due to the noise contribution. The chemical rank can be estimated easily by using an F-test. The method has been used successfully to the simulated HPLC-DAD type three-way data array and two real excitation-emission fluorescence data sets of amino acid mixtures and dye mixtures. The simulation with added relatively high level noise shows that the method is robust in resisting the heteroscedastic noise. The proposed algorithm is simple and easy to program with quite light computational burden.
