Combined NIR/MIR analysis: a novel method for the classification of complex substances such as Illicium verum Hook. F. and its adulterants.

A novel combined near- and mid-infrared (NIR and MIR) spectroscopic method has been researched and developed for the analysis of complex substances such as the Traditional Chinese Medicine (TCM), Illicium verum Hook. F. (IVHF), and its noxious adulterant, Iuicium lanceolatum A.C. Smith (ILACS). Three types of spectral matrix were submitted for classification with the use of the linear discriminant analysis (LDA) method. The data were pretreated with either the successive projections algorithm (SPA) or the discrete wavelet transform (DWT) method. The SPA method performed somewhat better, principally because it required less spectral features for its pretreatment model. Thus, NIR or MIR matrix as well as the combined NIR/MIR one, were pretreated by the SPA method, and then analysed by LDA. This approach enabled the prediction and classification of the IVHF, ILACS and mixed samples. The MIR spectral data produced somewhat better classification rates than the NIR data. However, the best results were obtained from the combined NIR/MIR data matrix with 95-100% correct classifications for calibration, validation and prediction. Principal component analysis (PCA) of the three types of spectral data supported the results obtained with the LDA classification method.

High resource hospitalizations among children with vaso-occlusive crises in sickle cell disease.

BACKGROUND: Vaso-occlusive crises (VOCs) contribute to frequent hospitalizations among children with sickle cell disease (SCD). The objective of this study was to identify factors associated with high resource utilization during hospitalizations for VOC. PROCEDURE: We analyzed pediatric discharges 0-18 years of age with a primary diagnosis of SCD with crisis from the 2006 Kids' Inpatient Database, a nationally representative sample of pediatric hospital discharges. High resource hospitalizations were defined as those in the highest decile for total charges. We conducted sample-weighted regression analyses to determine associations between independent variables (patient demographics, hospital characteristics, illness severity) and high resource use. RESULTS: There were 9,893 (0.371%) discharges for children with VOCs. Median total hospitalization charges were $10,691. In multivariate analysis, children 15-18 years of age (odds ratio [OR] 3.39, 95% confidence interval [CI] 2.54-4.53), 10-14 years of age (OR 2.72, 95% CI 2.07-3.59), and 5-9 years of age (OR 1.74, 95% CI 1.30-2.34) had higher odds of high resource hospitalizations compared to children 0-4 years of age. Care in a children's hospital had three times the odds of high resource use compared to care in a general hospital. Discharges with secondary diagnoses including pneumonia (OR 2.46, 95% CI 1.96-3.09) and constipation (OR 1.78, 95% CI 1.31-2.40) were also associated with high resource use. CONCLUSIONS: Older age and secondary diagnoses were associated with high resource use during VOC hospitalizations. These findings suggest the need to improve adherence to comprehensive care among older children to prevent VOCs and standardize protocols to manage VOC complications.

One- and two-dimensional gas chromatography-mass spectrometry and high performance liquid chromatography-diode-array detector fingerprints of complex substances: a comparison of classification performance of similar, complex Rhizoma Curcumae samples with the aid of chemometrics.

Many complex natural or synthetic products are analysed either by the GC-MS (gas chromatography-mass spectrometry) or HPLC-DAD (high performance liquid chromatography-diode-array detector) technique, each of which produces a one-dimensional fingerprint for a given sample. This may be used for classification of different batches of a product. GC-MS and HPLC-DAD analyses of complex, similar substances represented by the three common types of the TCM (traditional Chinese medicine), Rhizoma Curcumae were analysed in the form of one- and two-dimensional matrices firstly with the use of PCA (Principal component analysis), which showed a reasonable separation of the samples for each technique. However, the separation patterns were rather different for each analytical method, and PCA of the combined data matrix showed improved discrimination of the three types of object; close associations between the GC-MS and HPLC-DAD variables were observed. LDA (linear discriminant analysis), BP-ANN (back propagation-artificial neural networks) and LS-SVM (least squares-support vector machine) chemometrics methods were then applied to classify the training and prediction sets. For one-dimensional matrices, all training models indicated that several samples would be misclassified; the same was observed for each prediction set. However, by comparison, in the analysis of the combined matrix, all models gave 100% classification with the training set, and the LS-SVM calibration also produced a 100% result for prediction, with the BP-ANN calibration closely behind. This has important implications for comparing complex substances such as the TCMs because clearly the one-dimensional data matrices alone produce inferior results for training and prediction as compared to the combined data matrix models. Thus, product samples may be misclassified with the use of the one-dimensional data because of insufficient information.

Folate and homocysteine phenotypes: Comparative findings using research and clinical laboratory data.

OBJECTIVES: A low folate/high homocysteine phenotype is associated with several pathologies, including spina bifida and cardiovascular disease. Folate and total homocysteine (tHcy) measurements are used clinically to assess risk and the need for folic acid supplementation and in research to investigate the metabolic basis of disease. Red blood cell (RBC) folate, the best indicator of long-term folate status, is usually measured as "total" folate. However, different folate derivatives support distinct biochemical functions, suggesting a need to develop more precise methods. This study was designed to evaluate a method based on stable isotope dilution liquid chromatography-multiple reaction monitoring/mass spectrometry (LC-MRM/MS). DESIGN AND METHODS: We used LC-MRM/MS to quantify the RBC folate derivatives 5-methyltetrahydrofolate (5-CH(3)-THF), tetrahydrofolate (THF), and 5,10-methenyltetrahydrofolate (5,10-methenylTHF) in pre-menopausal women. The concentration of each folate derivative was assessed for utility in predicting tHcy levels, and compared to folate and tHcy measurements derived by routine clinical laboratory methods. RESULTS: LC-MRM/MS was qualitatively and quantitatively superior to routine clinical laboratory methods for determining folate and tHcy concentrations. RBC 5-CH(3)-THF had a reciprocal relationship with tHcy (p=0.0003), whereas RBC THF and RBC 5,10-methenylTHF had direct relationships (p=0.01, 0.04 respectively). In combination, these three variables accounted for 42% of the variation in tHcy. CONCLUSIONS: Robust methods for measuring RBC 5-CH(3)-THF would improve the utility of folate/homocysteine phenotyping in patient management. The use of LC-MRM/MS would allow studies of hyperhomocysteinemia and diseases associated with a low folate/high homocysteine phenotype to be performed with less measurement error and greater statistical power to generate data with the potential to elucidate the etiologic mechanisms of complex diseases and traits.