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Biomedical subjects

R Garriga

Publications and source records attributed to R Garriga.

4 recordsLinked to original sources

The importance of clinical factors in parenteral nutrition-associated hypertriglyceridemia.

AIMS: The purpose of this study was to establish the relevance of several clinical factors associated with parenteral nutrition (PN) hypertriglyceridemia and to construct a predictive model for this complication. METHOD: This multicenter study included all patients with initial serum triglyceridemia <3 mmol and receiving a minimum of 7 days' PN therapy. The study ended for each patient when hypertriglyceridemia developed or PN was terminated. Two multivariate models were constructed, one to study the clinical factors and the second to predict plasma triglyceridemia. A total of 22 clinical factors studied as independent variables were included in the multiple-step regression models only when they showed a P-value over 0.1. Statistical significance was determined by the confidence interval of the odds ratio (OR) and the partial regression coefficient (b). RESULTS: The study included 260 patients from 14 hospitals. Lipid administration was 0.83+/-0.37 g/kg/day. Among the total, 68 patients (26.2%) showed hypertriglyceridemia. Variables included in both models were serum glucose (OR, 2.63; b, 0.06), renal failure (OR, 10.56; b, 1.70), corticoid administration >0.5 mg/kg (OR, 7.98; b, 0.97), pancreatitis (OR, 4.38; b, 0.64), sepsis (OR, 4.48; b, 0.24), lipids infused (OR, 3.03; b, 0.24) and heparin administration >3 mg/kg/day (OR, 0.11; b, -1.21). CONCLUSION: Although the rate of lipid infusion was low, certain clinical factors modified triglyceridemia. Nevertheless, relatively fast plasma clearance of lipids infused indicates that a reduction in lipid supply could be a quick, effective measure for controlling hypertriglyceridemia. Thus, careful monitoring of patients with clinical factors predicting risk in the model studied, with adjustment of lipid perfusion rates accordingly, is suggested to avoid hypertriglyceridemia.

Adult↗

Berberine cation: A fluorescent chemosensor for alkanes and other low-polarity compounds. An explanation of this phenomenon

Alkanes in the presence of berberine sulfate provide an enhancement of fluorescent signal, which depends on alkane concentration and structure, when the system is irradiated with monochromatic UV light. Computational analysis suggests that an ion-induced dipole between alkanes and berberine sulfate is responsible for this phenomenon. This interaction can properly model the experimentally obtained fluorescent response. The proposed explanation allows other interacting systems to be designed, which have been experimentally confirmed.

Journal Article↗

Determination of hydrocarbon types in petroleum and coal-derived products by thin-layer chromatography/densitometry.

Different methodologies based on thin-layer chromatography (TLC)/densitometry were used to separate and quantitate hydrocarbon types in middle distillates (gas oil), heavy distillates (lubricant) from petroleum, and coal-derived products. Thus, petroleum products were separated into saturates and aromatics by development, using n-hexane (9 min) followed by dichloromethane (4.5 min), of silica gel plates impregnated with berberine sulfate. Detection of saturates and aromatics was performed by fluorescence scanning using 365 nm as the excitation wavelength. Alternative detection of aromatics can be performed on either silica gel or berberine-impregnated plates by using ultraviolet (UV) densitometry at 250 nm. On the other hand, polar coal-derived products were separated into aromatics, polar compounds, and uneluted components by using silica gel plates and development with toluene (12 min), followed by dichloromethane-methanol (95 + 5, v/v), with detection by UV densitometry at 250 nm. In all cases, external standard calibration was used for quantitation. Results were validated by using standard methods or well-established techniques of the petrochemical industry. The potential usefulness of TLC/densitometry is discussed.

Chromatography, Thin Layer↗