Correlation of Selected Serum Constituents: 1. Inter-Individual Variation and Analytical Error

1975 ◽  
Vol 21 (11) ◽  
pp. 1592-1600 ◽  
Author(s):  
Per Winkel ◽  
Bernard E Statland ◽  
Henning Bokelund ◽  
Eugene A Johnson
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Lactate Dehydrogenase ◽  
Aspartate Aminotransferase ◽  
Correlation Coefficients ◽  
Serum Samples ◽  
Significant Component ◽  
Healthy Men ◽  
Analytical Error ◽  
Analytical Errors

Abstract The intra-subject correlations of three clinically meaningful combinations of serum constituents—(a) potassium, calcium, and albumin; (b) urea, creatinine, and uric acid; and (c) aspartate aminotransferase, lactate dehydrogenase, and alkaline phosphatase—were studied in 11 healthy men. Duplicate serum samples were obtained at 800 h, 1100 h, and 1400 h on five different days. All assays were performed on the AutoChemist Multichannel Analyzer. Correlation coefficients differed significantly among the subjects for the following six pairs of serum constituents: urea and creatinine, urea and uric acid, creatinine and uric acid, aspartate aminotransferase and lactate dehydrogenase, aspartate aminotransferase and alkaline phosphatase, and lactate dehydrogenase and alkaline phosphatase. Nonbiological positive correlation between analytical errors (i.e., errors of two different assays performed on the same specimen) was demonstrated for two of the pairs: potassium and calcium, and aspartate aminotransferase and lactate dehydrogenase. The error correlations of these two pairs of constituents comprised a significant component of the observed intra-subject correlations. Probable reasons for these analytical error correlations are discussed

Correlation of selected serum constitutents: 2. Consistency of intra-individual correlation values, means, and variances during four months.

1976 ◽  
Vol 22 (11) ◽  
pp. 1855-1861 ◽  
Author(s):  
P Winkel ◽  
B E Statland
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Individual Differences ◽  
Lactate Dehydrogenase ◽  
Aspartate Aminotransferase ◽  
Covariance Structure ◽  
Correlation Coefficients ◽  
Nonprotein Nitrogen ◽  
Protein Nitrogen ◽  
Mean Values

Abstract We examined whether inter-individual differences in correlation coefficients previously found among subjects truly reflect consistent inter-individual differences or are time-related within an individual. The consitutents studied in this investigation were (a) the enzmes aspartate aminotransferase, alkaline phosphatase, and lactate dehydrogenase; and (b) the non=protein nitrogen-containing constituents urea, uric acid, and creatinine. Ten healthy women were each subjected to 15 venipunctures over a five-week period (Series I), and, after a two-month interval, were again subjected to 15 venipunctures over a second five-week period (Series II). Before statistical analysis, the data were corrected for the batch-to-batch (day-to-day) arnalytical variation. There was a signiificant (P less than .05) change in the covariance structure (variances or correlation coefficients, or both) between the two series in four of the 10 subjects for the combination of enzymes, and in three other subjects for the combination of nonprotein nitrogen constitutents. Although we found a significant (P lees than .05) average intra-individual variation in the mean values from series to series in the cases of the three enzymes and urea, the magnitude of the inter-series variation in means was relatively small. CV's were: alkaline phosphatase, 3.4%; lactate dehydrogenase, 2.3+; aspartate aminotransferase, 3.3%; urea, 5.0%; uric acid, 1.0%; and creatinine, 1.2%.

Changes in Blood Chemistry of Juvenile Steelhead Trout, Salmo gairdneri, Following Sublethal Exposure to Nitrogen Supersaturation

1974 ◽  
Vol 31 (12) ◽  
pp. 1953-1957 ◽  
Author(s):  
T. W. Newcomb
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Lactate Dehydrogenase ◽  
Total Protein ◽  
Total Bilirubin ◽  
Blood Chemistry ◽  
Salmo Gairdneri ◽  
Steelhead Trout ◽  
Serum Samples ◽  
Serum Glutamic Oxalacetic Transaminase

Groups of juvenile steelhead trout (Salmo gairdneri) were exposed for 35 days to various (103, 105, 110, and 116%) sublethal nitrogen plus argon saturations. Pooled serum samples were analyzed for Ca, Na, PO4, K, Cl, albumin, total protein, cholesterol, alkaline phosphatase, glucose, urea, uric acid, total bilirubin, lactate dehydrogenase, and serum glutamic oxalacetic transaminase. An increase in serum potassium and phosphate, and a decline in serum albumin, calcium, cholesterol, total protein and alkaline phosphatase were noted in steelhead exposed to 116% nitrogen (N2 + Ar) saturation (total atmospheric gas saturation 110%). No major changes in blood chemistry were observed at nitrogen saturations of 110% or less.

scholarly journals Prognosis of chronic lymphocytic leukemia: a multivariate regression analysis of 325 untreated patients

Blood ◽  
1987 ◽  
Vol 69 (3) ◽  
pp. 929-936 ◽  
Author(s):  
JS Lee ◽  
DO Dixon ◽  
HM Kantarjian ◽  
MJ Keating ◽  
M Talpaz
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Regression Analysis ◽  
Lactate Dehydrogenase ◽  
Chronic Lymphocytic Leukemia ◽  
Regression Model ◽  
Multivariate Regression ◽  
Risk Groups ◽  
Multivariate Regression Analysis ◽  
Lymphocytic Leukemia

Three hundred twenty-five previously untreated patients with chronic lymphocytic leukemia were analyzed to identify significant prognostic factors for survival. Univariate analysis identified the following characteristics associated with survival: (1) clinical characteristics: age, race, sex, performance status, lymphadenopathy, and hepatosplenomegaly; (2) hematologic parameters: WBC count, absolute lymphocyte and granulocyte counts, hemoglobin level, and platelet count; and (3) biochemical parameters: serum albumin, calcium, uric acid, lactate dehydrogenase, alkaline phosphatase, BUN, and creatinine. Multivariate regression analysis in a randomly selected training subset of 217 patients demonstrated that the combination of uric acid, alkaline phosphatase, lactate dehydrogenase, external lymphadenopathy, and age had the strongest predictive relation to survival time. The resulting model was validated in the remaining independent subset of 108 patients and led to classification of patients into low, intermediate, and high-risk groups with five-year survival rates of 75%, 59%, and 14%, respectively, and with distinctively different annual mortality rates (P less than .01). Both the regression model and Rai staging were highly effective in identifying risk groups among the entire patient population (P less than 0.001). Overall the regression model was superior to Rai staging in defining prognostic risk groups. In addition, it was able to separate patients into significantly different risk categories within each Rai stage, thus improving on the prognostic prediction of individual patients with chronic lymphocytic leukemia.

scholarly journals Prognosis of chronic lymphocytic leukemia: a multivariate regression analysis of 325 untreated patients

Blood ◽  
1987 ◽  
Vol 69 (3) ◽  
pp. 929-936 ◽  
Author(s):  
JS Lee ◽  
DO Dixon ◽  
HM Kantarjian ◽  
MJ Keating ◽  
M Talpaz
Keyword(s):  
Alkaline Phosphatase ◽  
Uric Acid ◽  
Regression Analysis ◽  
Lactate Dehydrogenase ◽  
Chronic Lymphocytic Leukemia ◽  
Regression Model ◽  
Multivariate Regression ◽  
Risk Groups ◽  
Multivariate Regression Analysis ◽  
Lymphocytic Leukemia

Abstract Three hundred twenty-five previously untreated patients with chronic lymphocytic leukemia were analyzed to identify significant prognostic factors for survival. Univariate analysis identified the following characteristics associated with survival: (1) clinical characteristics: age, race, sex, performance status, lymphadenopathy, and hepatosplenomegaly; (2) hematologic parameters: WBC count, absolute lymphocyte and granulocyte counts, hemoglobin level, and platelet count; and (3) biochemical parameters: serum albumin, calcium, uric acid, lactate dehydrogenase, alkaline phosphatase, BUN, and creatinine. Multivariate regression analysis in a randomly selected training subset of 217 patients demonstrated that the combination of uric acid, alkaline phosphatase, lactate dehydrogenase, external lymphadenopathy, and age had the strongest predictive relation to survival time. The resulting model was validated in the remaining independent subset of 108 patients and led to classification of patients into low, intermediate, and high-risk groups with five-year survival rates of 75%, 59%, and 14%, respectively, and with distinctively different annual mortality rates (P less than .01). Both the regression model and Rai staging were highly effective in identifying risk groups among the entire patient population (P less than 0.001). Overall the regression model was superior to Rai staging in defining prognostic risk groups. In addition, it was able to separate patients into significantly different risk categories within each Rai stage, thus improving on the prognostic prediction of individual patients with chronic lymphocytic leukemia.

scholarly journals Effect of Various Diluents on the Activity of Several Enzymes Present in Serum

1973 ◽  
Vol 19 (9) ◽  
pp. 1079-1080
Author(s):  
Ted W Fendley ◽  
Jane M Hochholzer ◽  
Christopher S Frings
Keyword(s):  
Alkaline Phosphatase ◽  
Creatine Kinase ◽  
Enzyme Activity ◽  
Lactate Dehydrogenase ◽  
Confidence Level ◽  
Aspartate Aminotransferase ◽  
Nacl Solution ◽  
Manual Method ◽  
Accuracy And Precision ◽  
Significant Difference

Abstract We have evaluated the effect of diluting serum with water or NaCl solution (8.5 or 9.0 g/liter) before assaying by a manual method for creatine kinase (EC 2.7.3.2), alkaline phosphatase (EC 3.1.3.1), lactate dehydrogenase (EC 1.1.1.27), and aspartate aminotransferase (EC 2.6.1.1) activity. The t test and the F test show no significant difference in the accuracy and precision of the assays at the 95% confidence level when 100 different samples were compared for each enzyme activity after use of the three diluents.

Improved rapid assay of uric acid in serum by liquid chromatography.

1988 ◽  
Vol 34 (12) ◽  
pp. 2567-2568 ◽  
Author(s):  
M Tanaka ◽  
M Hama
Keyword(s):  
Uric Acid ◽  
High Performance ◽  
Rapid Determination ◽  
Correlation Coefficients ◽  
Gel Permeation Chromatography ◽  
Serum Samples ◽  
Step Procedure ◽  
One Step ◽  
Highly Porous

Abstract This improved method for rapid determination of uric acid in serum is based on high-performance liquid-gel-permeation chromatography, with hydrophilic and highly porous vinyl alcohol copolymer as packing material. It has the following advantages: no need for sample deproteinization or use of a precolumn, more than 500 serum samples can be analyzed without having to regenerate or recondition the analytical apparatus, and the analysis for uric acid is a one-step procedure. Correlation coefficients between this method and other methods are very good (r = 0.998, 0.999).

scholarly journals Biochemical Effects to Toxicity of CCl4 on Rosy Barbs (Puntius conchonius)

Our Nature ◽  
1970 ◽  
Vol 3 (1) ◽  
pp. 20-25 ◽  
Author(s):  
H. Bhattacharya ◽  
L. Lun ◽  
G.D. Gomez R.
Keyword(s):  
Alkaline Phosphatase ◽  
Lactate Dehydrogenase ◽  
Enzymatic Activity ◽  
Blood Urea Nitrogen ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Target Organ ◽  
Biochemical Changes ◽  
Urea Nitrogen ◽  
Biochemical Effects

Biochemical changes in the liver, kidneys and gills of rosy barbs due to toxicity of CCl4 were measured after 96 hour exposure. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), blood urea nitrogen (BUN) and creatinin (CRN), levels were measured. Significant increase in ALP, ALT, LDH and BUN activities were observed in the liver in the treated groups compared to controls (P < 0.05). AST level was significantly higher in the kidneys. This study indicates that the enzymatic activity was comparatively higher in the liver than kidneys or gills, suggesting that the liver is the target organ of CCL4 toxicity to rosy barbs.Keywords: Toxicity, Rosy Barb, CCl4doi:10.3126/on.v3i1.330Our Nature (2005)5:20-25

scholarly journals Multianalyte Serum Analysis Using Mid-Infrared Spectroscopy

1998 ◽  
Vol 35 (5) ◽  
pp. 624-632 ◽  
Author(s):  
R Anthony Shaw ◽  
Steven Kotowich ◽  
Michael Leroux ◽  
Henry H Mantsch
Keyword(s):  
Uric Acid ◽  
Total Protein ◽  
Correlation Coefficients ◽  
Standard Errors ◽  
Infrared Transmission ◽  
Serum Samples ◽  
Chemical Methods ◽  
Mid Infrared ◽  
Low Concentrations ◽  
Clinical Chemical

This study assesses the potential for using mid-infrared (mid-IR) spectroscopy of dried serum films as the basis for the simultaneous quantitation of eight serum analytes: Total protein, albumin, triglycerides, cholesterol, glucose, urea, creatinine and uric acid. Infrared transmission spectra were acquired for 300 serum samples, each analysed independently using accepted reference clinical chemical methods. Quantitation methods were based upon the infrared spectra and reference analyses for 200 specimens, and the models validated using the remaining 100 samples. Standard errors in the IR-predicted analyte levels (Sy/x) were 2.8 g/L (total protein), 2.2 g/L (albumin), 0.23 mmol/L (triglycerides), 0.28 mmol/L (cholesterol), 0.41 mmol/L (glucose) and 1.1 mmol/L for urea, with correlation coefficients (IR vs reference analyses) of 0.95 or better. The IR method emerged to be less suited for creatinine (S y/ x = μmol/L) and uric acid (S y/x = 140 μmol/L) due to the relatively low concentrations typical of these analytes.

scholarly journals Comparison of some biochemical and mineral indices among Norik breed Muráň Plain type and Hucul breed mares

2015 ◽  
Vol 84 (2) ◽  
pp. 113-117 ◽  
Author(s):  
Ján Pošivák ◽  
Eva Styková ◽  
František Novotný ◽  
Igor Valocký ◽  
Jana Noskovičová ◽  
...  
Keyword(s):  
Alkaline Phosphatase ◽  
Lactate Dehydrogenase ◽  
Aspartate Aminotransferase ◽  
Biochemical Analysis ◽  
Iron Chloride ◽  
Parasitic Diseases ◽  
Gamma Glutamyltransferase ◽  
Significant Difference ◽  
Mineral Profile ◽  
Biochemical Indices

Biochemical analysis in horses is an important aid for determining correct clinical diagnosis of general, infectious, and some parasitic diseases. This work studied the biochemical and mineral indices in mares of two breeds: the Norik breed Muráň Plain type and the Hucul breed. A total of 34 mares of the Norik breed Muráň Plain type (aged 15.18 ± 5.99 years) and 28 Hucul mares (aged 9.03 ± 5.50 years) were used. Blood serum was analysed using the biochemical analyser Cobas c111 (Roche, Switzerland). Significant difference (P < 0.05) was found between the Norik breed Muráň Plain type and the Hucul mares in aspartate aminotransferase, alkaline phosphatase, lactate dehydrogenase and gamma-glutamyltransferase activity; significant difference (P < 0.01) was found in urea values; and highly significant difference (P < 0.001) was found in glucose values. The mineral profile elements showed a highly significant differences (P < 0.001) between the Norik breed Muráň Plain type and the Hucul mares in phosphorus, magnesium, iron, chloride, potassium, and sodium concentrations. The results confirmed that there are significant differences between horse breeds in some biochemical indices. Therefore, it is appropriate to determine reference values for other horse breeds, as well. To our knowledge, this is the first report that compares biochemical and mineral indices between the Norik breed Muráň Plain type and the Hucul breed.

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