Subclinical hepatic encephalopathy: relationship between neuropsychological deficits and standard laboratory tests assessing hepatic status.

A multivariate analysis of the relationship between biochemical measures of hepatic function and neuropsychological assessments of specific cognitive domains was performed on data obtained from 74 patients with chronic liver disease and subclinical hepatic encephalopathy. Biochemical tests of hepatic protein synthesis correlated significantly with measures of impaired language efficiency, perceptual speed, and psychomotor efficiency. Biochemical indices of impaired processing of nitrogenous compounds correlated with visuopractic deficits. Hepatic blood flow indices correlated with language inefficiency. Interestingly, biochemical measures of hepatic injury did not demonstrate a significant association with any neuropsychological parameter assessed. These results suggest that subclinical hepatic encephalopathy is the consequence of a multifactorial hepatic dysfunction, and that acute hepatic injury, as assessed by elevation of aminotransferases, does not appear to be involved in the pathogenesis of subclinical hepatic encephalopathy.     

Effect of acclimation on resting energy expenditure measurements.

BACKGROUND: Development of an acclimation protocol for use when measuring resting energy expenditure (REE) would simplify and standardize data collection. The purpose of this study was to determine if our 2 metabolic carts could be used interchangeably and to determine if excluding the first 3 or 5 minutes of data collected as an acclimation period would significantly improve the coefficients of variation (CVs) for oxygen consumed (VO(2)) and carbon dioxide produced (VCO(2)) when performing REE assessments with our metabolic cart systems. METHODS: Thirteen healthy, nonsmoking adults ranging in age from 32 to 45 years, with activity levels ranging from sedentary to highly active, participated. Indirect calorimetry was performed twice in the morning after 30 minutes of supine resting. Subjects had fasted for 12 hours, and did not exercise within the last 24 hours. The system order for testing was randomized for the first measurement. When the first measurement was completed, subjects were crossed over for measurement using a second metabolic cart. RESULTS: The CVs for VO(2) and VCO(2) were significantly lower when excluding the first 3 (VO(2), p = .0005), (VCO(2), p = .0024) or 5 minutes (VO(2), p = .0001, VCO(2), p = .0021) of data compared with no exclusions. No significant differences in CVs between the 3- and 5-minute exclusions were found for VO(2) (p = .3224) or VCO(2) (p = .2255). CONCLUSIONS: Clearly, our machines cannot be used interchangeably within a study. An acclimation period improves CVs of VO(2) and VCO(2.) The similarities in CVs led us to adopt a 3-minute acclimation period for measuring REE.     

Change in glycemia in a four-year interval in younger-onset insulin-dependent diabetes.

Hyperglycemia is an important risk factor for the development of retinopathy and nephropathy in people with diabetes mellitus. There are few population-based data on changes in glycemia over time. The purpose of this study was to examine changes in glycemia, as measured by glycosylated hemoglobin in 1980 to 1982 and in 1984 to 1986, in a large population-based study of people who were diagnosed to have diabetes before the age of 30 years and who used insulin (n = 697). Glycosylated hemoglobin was measured by a microcolumn technique at both examinations. There was a significant (P < .001) fall in the mean glycosylated hemoglobin from 10.8 to 10.1% over the 4-year interval of the study. In contrast, there was no change in the glycosylated hemoglobin (6.2%) in a similarly aged nondiabetic comparison group over the same period. The decrease in mean glycosylated hemoglobin over the 4-year period in the diabetic group was associated with several characteristics of diabetes management. These include changes in the insulin regimen (going from intermediate- or long-acting insulin only to combinations with short-acting insulin), an increase in the number of doses of insulin per day, and a higher frequency of self-monitoring of blood glucose level. It was also associated with an increased number of reported insulin reactions. These data suggest that recent changes in treatment and management of diabetes may be related to a significant decrease in glycemia.     

Aspergillus osteomyelitis of the thumb in a 5-year-old child

Aspergillus osteomyelitis is a rare condition and is a recognized infection of the immunosuppressed. The pediatric cases that were documented suggest that in children, chronic granulomatous disease is the major underlying disease [Tack et al.1982 73(2):295–300, Baez-Escudero et al. 2000 Case report—primary sternal Aspergillus osteomyelitis. Infect Med 17(7):505–516]. We report an interesting case of Aspergillus osteomyelitis of the thumb in a 5-year-old boy with aplastic anemia. The infection progressed despite a combination of antifungal therapy with Voriconazole and surgical debridement. The thumb was amputated and the child recovered. This case highlights the difficulty in diagnosing Aspergillus osteomyelitis and also the failure of conventional management in this child, which resulted in the amputation of the thumb as a life-saving measure. We believe this to be the first case report of Aspergillus osteomyelitis in the thumb.     

Filtration of fentanyl is not the cause of the elevation of arterial blood pressure associated with post-bypass ultrafiltration in children

Modified ultrafiltration after cardiopulmonary bypass in children has been shown to be associated with an increase in arterial blood pressure. As part of a series of studies to investigate the possible causes of this blood pressure elevation, the hypothesis that if filtration was removing a significant amount of fentanyl, then the increase in blood pressure might be due to pain was proposed. Ten children, aged between 0.5 and 9.3 years (median 3.8 years), weighing 5.9 to 25..5 kg (median 15.7 kg), underwent corrective cardiac surgery (incorporating modified ultrafiltration). A standard anesthetic protocol was followed, with up to 78 μg/kg of fentanyl given prebypass for analgesia. After completion of cardiopulmonary bypass, modified ultrafiltration was commenced at 100 mL/min until a hematocrit of 35% was reached. Samples were taken of arterial blood (prefiltration, 3, 10, and 20 minutes postfiltration), the venous reservoir blood (prefiltration) and the filtrate (5 and 10 minutes into filtration). Hemodynamic data were recorded both prefiltration and postfiltration. The hemodynamic data showed the expected rise in both systemic arterial pressure and cardiac index after ultrafiltration. The plasma fentanyl concentrations did not significantly change after ultrafiltration: 1.59 to 12.39 ng/mL (median 6.27 ng/mL) prefiltration and 2.05 to 15.59 ng/mL (6.29 ng/mL) at 3 minutes, 2.22 to 12.64 ng/mL (6.87 ng/mL) at 10 minutes, and 1.83 to 11.52 ng/mL (5.85 ng/mL) at 20 minutes postfiltration. The concentration of fentanyl in the venous reservoir, 2.06 to 11.64 ng/mL (7.04 ng/mL), was not significantly different from the plasma levels. The level of fentanyl in the filtrate was significantly less than the plasma levels, 0.243 to 1.87 ng/mL (0.894 ng/mL) at 5 minutes and 0.385 to 1.688 ng / mL (0.952 ng / mL) at 10 minutes into filtration; (P < 0.02 by the Wilcoxon signed-rank method). The data show that the plasma fentanyl concentration was not significantly reduced by modified ultrafiltration. The fentanyl levels found prefiltration were maintained postfiltration, and the observed changes in systemic arterial pressure were not due to an acute fall in the plasma concentration of analgesic drug.     

Handbook of Neuroanaesthesia

The fourth edition of this book is equally as good as its predecessorsand fulfils the aims of the authors, as stated in the preface,to provide a concise and easily accessible compendium of neuroanaesthesiaand neurosurgical critical care. The chapters have been updatedto reflect new techniques and practices for topics such as awakecraniotomy, diagnostic and interventional neuroradiology, monitoringof patients for neurosurgery and neurocritical care, and managementof head injury and subarachnoid haemorrhage. It is a multi-author     

The peroxisome proliferator-activated receptor gamma coactivator-1 alpha gene (PGC-1alpha) is not associated with type 2 diabetes mellitus or body mass index among Hispanic and non Hispanic Whites from Colorado.

The objective of the study was to test for an association between type 2 diabetes mellitus (T2DM) and body mass index (BMI) and three single nucleotide polymorphisms (SNP)s in the peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PGC-1alpha) gene. We were also interested in whether these associations differed by tertiles of diet, physical activity or presence of polymorphisms in the peroxisome proliferator-activated receptor gamma (PPAR-gamma) gene among Hispanics and Non-Hispanic Whites (NHW) from Colorado. We studied 216 Hispanic pedigrees (1850 nuclear families) and 236 NHW pedigrees (1240 families) from the San Luis Valley and Denver. We genotyped the Gly482Ser, Thr528Thr and Thr612Met polymorphisms in the PGC-1alpha gene and the Pro12Ala polymorphism of the PPAR-gamma gene. Historical physical activity (average METS/week) as well as average dietary intake over the past year was assessed by self-report. Data were analyzed using the Family Based Association Test (FBAT) as well as generalized estimating equations (GEE). We did not find any significant association between three SNPs in the PGC-1alpha gene and T2DM in Hispanics or NHW; however, using FBAT, we found the common Thr612Thr allele of the PGC-1alpha gene to be associated with T2DM among Hispanic subjects carrying the rare Pro12Ala allele of the PPAR-gamma gene (p=.003). We found similar associations when we considered a haplotype containing that allele (p=.002). However, the results of the GEE analysis did not confirm these findings: odds ratio (OR)=1.68, 95% CI (0.5, 5.2) suggesting these results may due to chance. BMI also did not show any consistent associations with the PGC-1alpha gene. In conclusion, we did not find an association between the PGC-1alpha gene and T2DM or BMI and there were no consistent interactions with diet, physical activity or the Pro12Ala polymorphism of the PPAR-gamma gene.