OBJECTIVE

Microalbuminuria is associated with increased risk of cardiovascular disease and mortality. The objective of the study was to evaluate if HIV infection was an independent risk factor for microalbuminuria.

DESIGN

Cross sectional.

METHODS

The relationship between HIV infection and microalbuminuria was assessed using subjects enrolled in the study of Fat Redistribution and Metabolic Change in HIV Infection, which consists of HIV-positive and control men and women. Participants with proteinuria (dipstick >or= 1+) were excluded.

RESULTS

Microalbuminuria (urinary albumin/creatinine ratio, ACR > 30 mg/g) was present in 11% of HIV infected, and 2% of control participants (P < 0.001); a fivefold odds after multivariate adjustment (odds ratio, 5.11; 95% confidence interval, 1.97-13.31; P=0.0008). Several cardiovascular risk factors were associated with higher ACR in HIV participants: insulin resistance (HOMA > 4; 32%, P < 0.0001), systolic blood pressure (21%, P = 0.01 for 120-140 versus < 120 mmHg, and 43%, P = 0.06 for > 140 versus < 120 mmHg), and family history of hypertension (17%, P = 0.03). Higher CD4 cell count was associated with lower albumin/creatinine ratio (-24%, P = 0.009 for 200-400 versus < 200 cells/ml and -26%, P = 0.005 for > 400 versus < 200 cells/ml).

CONCLUSION

HIV infection had a strong and independent association with microalbuminuria, the severity of which was predicted by markers of insulin resistance, hypertension, and advanced HIV infection. These associations warrant further investigation, as the increased prevalence of microalbuminuria in HIV infection may be a harbinger of future risk of cardiovascular and kidney diseases.

PURPOSE

This study examines the burden of symptoms by treatment type and patient characteristics in a population-based sample of newly diagnosed breast cancer patients.

METHODS

Using the Los Angeles County SEER Registry Rapid Case Ascertainment, we identified a cohort of breast cancer patients in 2000 and conducted telephone surveys in English and Spanish among participants.

RESULTS

We completed interviews of 1,219 breast cancer patients and found almost half (46%) had at least one severe symptom (any of the following: nausea/vomiting, arm problems, hot flashes, vaginal dryness, difficulty sleeping) that interfered with her daily functioning or mood. Multi-variate analysis controlling for patient characteristics and treatment showed that older (OR=0.90; P<0.000), black (OR=0.50; P<0.000), Hispanic Spanish-speaking (OR=0.37; P<0.000), widowed or never married (OR=0.68; P=0.049), and working (OR=0.72; P=0.024) women were less likely to report severe symptoms than other women. Number of comorbid conditions (OR=1.21; P<0.000) and receipt of chemotherapy (OR=1.48; P=0.040) were positively associated with reporting symptoms.

CONCLUSION

These findings estimate the prevalence of several mutable symptoms in breast cancer patients that can be addressed by appropriate treatments. Comorbidity is a significant predictor of symptoms, especially amongst those receiving chemotherapy. Variation in symptom reporting occurred by race/ethnicity and other sociodemographic characteristics, raising questions of different thresholds for reporting symptoms or truly fewer symptoms for some sociodemographic groups. Population-based estimates of the probability of symptoms in women with incident breast cancer can be used to provide patient education about potential outcomes following the treatment of breast cancer.