Publications

Donor livers are offered to patients with the highest risk of death. How ascites could inform risk models to reduce liver transplant wait-list mortality is unclear. All adult candidates for primary liver transplantation for cirrhosis without exception points who were registered with the Organ Procurement and Transplantation Network from 2005 to 2007 composed our study cohort. Using Cox models and advanced discriminative metrics and paying attention to geographic disparities, we evaluated the additional risk discrimination of moderate ascites over that of the Model for End-Stage Liver Disease (MELD) or the Model for End-Stage Liver Disease plus serum sodium (MELD-Na) alone for the prediction of 90-day wait-list mortality. Additional analyses examined lower mortality risk candidates and those listed in high-demand, low-supply United Network for Organ Sharing regions in which accounting for ascites may most significantly affect wait-list mortality. Between 2005 and 2007, 18,124 subjects were listed for liver transplantation. Mortality was higher in patients with moderate ascites (15.4% versus 6.0%, P < 0.0001), and this risk persisted despite adjustments for MELD (hazard ratio = 1.58, 95% confidence interval = 1.42-1.76) and MELD-Na (hazard ratio = 1.42, 95% confidence interval = 1.28-1.58). The effect of moderate ascites was more prominent with a MELD score <21 (equal to 4.7 MELD units) or with a MELD-Na score <21 (equal to 3.5 MELD-Na units). Wait-list mortality was higher in patients with moderate ascites who were listed in high-demand, limited-supply regions (25.8% versus 17.5% at 1 year, P < 0.01). With the addition of moderate ascites, there was improvement in the overall risk model, particularly with a MELD score <21, as measured by the C index and integrated discrimination improvement. Moderate ascites informed risk prediction, particularly with a MELD score <21 and in high-demand, limited-supply regions. Under the MELD system, the presence of moderate ascites should prompt clinicians to consider strategies to expand access to transplantation, such as the use of extended donor liver grafts.

BACKGROUND

In the era of antiretroviral therapy (ART), depression and substance use predict hastened HIV disease progression, but the underlying biological or behavioral mechanisms that explain these effects are not fully understood.

METHODS

Using outcome data from 603 participants enrolled in a randomized controlled trial of a behavioral intervention, binary logistic and linear regression were employed to examine whether inconsistent patterns of ART utilization partially mediated the effects of depression and substance use on higher HIV viral load over a 25-month follow-up.

RESULTS

Elevated affective symptoms of depression independently predicted ART discontinuation [adjusted odds ratio = 1.39, 95% confidence interval (CI) = 1.08 to 1.78], and use of stimulants at least weekly independently predicted intermittent ART utilization (adjusted odds ratio = 2.62, 95% CI = 1.45 to 4.73). After controlling for the average self-reported percentage of ART doses taken and baseline T-helper (CD4) count, elevated depressive symptoms predicted a 50% higher mean viral load, and weekly stimulant use predicted a 137% higher mean viral load. These effects became nonsignificant after accounting for inconsistent patterns of ART utilization, providing evidence of partial mediation.

CONCLUSIONS

Inconsistent patterns of ART utilization may partially explain the effects of depression and stimulant use on hastened HIV disease progression.

This study aimed to assess the prevalence and correlates of food insecurity in a cohort of HIV-infected individuals on highly active antiretroviral therapy (HAART) in British Columbia (BC), Canada. Adults receiving HAART voluntarily enrolled into the Longitudinal Investigations into Supportive and Ancillary Health Services (LISA) cohort. Individual food insecurity was measured using a modified version of the Radimer/Cornell Questionnaire. We performed bivariate analyses to determine differences between explanatory variables for individuals who were food secure and food insecure. We performed logistic regression to determine independent predictors of food insecurity. Of the 457 individuals enrolled in the LISA cohort, 324 (71.0%) were found to be food insecure. Multivariate analysis indicated that individuals who had an annual incomes less than $15,000 (odds ratio [OR] 3.15, 95% confidence interval [CI] 1.83, 5.44), used illicit drugs (OR 1.85, 95% CI 1.03, 3.33), smoked tobacco (OR 2.30, 95% CI 1.30, 4.07), had depressive symptoms (OR 2.34, 95% CI 1.38, 3.96), and were younger (OR 0.95, 95% CI, 0.92, 0.98) were more likely to be food insecure. Our results demonstrated a high (71%) prevalence of food insecurity among HIV-infected individuals receiving HAART in this resource-rich setting, and that food insecurity is associated with a compendium of environmental and behavioral factors. More research is needed to understand the biological and social pathways linking food insecurity to these variables in order to identify program strategies that can effectively improve food security among HIV-infected populations.

Genotyping is used to track specific isolates of Mycobacterium tuberculosis in a community. It has been successfully used in epidemiologic research (termed 'molecular epidemiology') to study the transmission dynamics of TB. In this article, we review the genetic markers used in molecular epidemiologic studies including the use of whole-genome sequencing technology. We also review the public health application of molecular epidemiologic tools.

OBJECTIVE

To determine the prevalence of obesity and evaluate how accurately standard anthropometric measures identify obesity among women with systemic lupus erythematosus (SLE).

METHODS

Dual x-ray absorptiometry (DXA), height, weight, and waist and hip circumference measurements were collected from 145 women with SLE. Three anthropometric proxies of obesity (body mass index [BMI]≥30 kg/m2, waist circumference [WC]≥88 cm, and waist:hip ratio [WHR]≥0.85) were compared with a DXA-based obesity criterion. Correspondence between measures was assessed with Cohen's kappa. Receiver operating characteristic curves determined optimal cut points for each anthropometric measure relative to DXA. Framingham cardiovascular risk scores were compared among women who were classified as not obese by both traditional and revised anthropometric definitions, obese by both definitions, and obese only by the revised definition.

RESULTS

Of the 145 women, 28%, 29%, 41%, and 50% were classified as obese by WC, BMI, WHR, and DXA, respectively. Correspondence between anthropometric and DXA-based measures was moderate. Women misclassified by anthropometric measures had less truncal fat and more appendicular lean and fat mass. Cut points were identified for anthropometric measures to better approximate DXA estimates of percent body fat: BMI≥26.8 kg/m2, WC≥84.75 cm, and WHR≥0.80. Framingham risk scores were significantly higher in women classified as obese by either traditional or revised criteria.

CONCLUSION

A large percentage of this group of women with SLE was obese. Substantial portions of women were misclassified by anthropometric measures. Utility of revised cut points compared with traditional cut points in identifying risk of cardiovascular disease or disability remains to be examined in prospective studies, but results from the Framingham risk score analysis suggest that traditional cut points exclude a significant number of at-risk women with SLE.