Obesity is associated with family history of ESRD in incident dialysis patients.

BACKGROUND: Obesity is an established risk factor for chronic kidney disease and aggregates in families. The objective of this study is to examine the relationship between obesity and family history of end-stage renal disease (ESRD). METHODS: Data were collected from 25,883 incident patients with ESRD in US ESRD Network 6 (Georgia, North Carolina, and South Carolina) dialysis clinics between 1995 and 2003. Family history is defined as a first- or second-degree relative with ESRD. Body mass index (BMI) at dialysis therapy initiation was classified as underweight (BMI < 18.5 kg/m2), normal (BMI, 18.5 to <25 kg/m2), overweight (BMI, 25 to < 30 kg/m2), obese (BMI, 30 to <35 kg/m2), or morbidly obese (BMI > or = 35 kg/m2). RESULTS: Twenty-three percent of patients reported a family history of ESRD. Of patients reporting a family history of ESRD, 5.5% were underweight, 32.5% had normal BMI, 28.0% were overweight, 17.3% were obese, and 16.7% were morbidly obese. After controlling for age, race, sex, primary cause of ESRD, history of diabetes, history of hypertension, and estimated glomerular filtration rate at dialysis therapy initiation, reported family history of ESRD was associated with being overweight (odds ratio [OR], 1.17; 95% confidence interval [CI], 1.08 to 1.26), obese (OR, 1.25; 95% CI, 1.14 to 1.37), and morbidly obese (OR, 1.40; 95% CI, 1.27 to 1.55). CONCLUSION: Obesity at dialysis therapy initiation was associated independently with reported family history of ESRD. This finding suggests that behavioral factors, adiposity-related genes, and gene-by-BMI interaction may contribute to familial risk for ESRD. This finding also suggests that management of obesity may be even more important for patients with a family history of ESRD than for the general population.

Population-based screening for family history of end-stage renal disease among incident dialysis patients.

BACKGROUND: We determined the familial aggregation of end-stage renal disease (ESRD) in a large, population-based sample of incident ESRD cases to assess the feasibility of developing a targeted screening and prevention program directed at members of families at high risk for kidney disease. METHODS: Between January 1, 1995, and December 31, 2003, incident dialysis patients in ESRD Network 6 facilities were asked to complete a voluntary questionnaire on family history (FH) of ESRD. Cases with ESRD attributed to Mendelian diseases or urologic causes were excluded. FH was considered present if first- or second-degree relatives had ESRD. De-identified FH data were collated with demographic data at dialysis initiation. RESULTS: More than 46% of eligible patients (25,883/55,929) provided FH information and 22.8% (5,901/25,883) of these reported having a FH of ESRD. FH of ESRD was positively associated with female gender, earlier age at ESRD onset, and primary cause of ESRD, and negatively associated with white race. FH associations with age, race, gender, and primary cause of renal failure remained statistically significant after simultaneous adjustment in a multivariate logistic regression model. CONCLUSIONS: Approximately 23% of incident dialysis patients have close relatives with ESRD. Far more are likely to have relatives with clinically silent proteinuria or chronic kidney disease (CKD), both risk factors for future cardiovascular events and ESRD. Physicians caring for patients with CKD should be aware of the marked familial aggregation of ESRD and consider focusing screening efforts on high-risk family members in an attempt to slow the exponential growth rate of kidney disease.

Temporal changes in prevalence of antimicrobial resistance in 23 US hospitals.

Antimicrobial resistance is increasing in nearly all health-care-associated pathogens. We examined changes in resistance prevalence during 1996-1999 in 23 hospitals by using two statistical methods. When the traditional chi-square test of pooled mean resistance prevalence was used, most organisms appear to have increased in prevalence. However, when a more conservative test that accounts for changes within individual hospitals was used, significant increases in prevalence of resistance were consistently observed only for oxacillin-resistant Staphylococcus aureus, ciprofloxacin-resistant Pseudomonas aeruginosa, and ciprofloxacin- or ofloxacin-resistant Escherichia coli. These increases were significant only in isolates from patients outside intensive-care units (ICU). The increases seen are of concern; differences in factors present outside ICUs, such as excessive quinolone use or inadequate infection-control practices, may explain the observed trends.

Does antimicrobial resistance cluster in individual hospitals?

Factors that affect the resistance rates for an organism-drug combination in a given hospital also might influence resistance rates for other organism-drug combinations. We examined correlations between resistance prevalence in non-intensive care inpatient areas of 41 hospitals participating in phase 3 (1998-1999) of Project ICARE (Intensive Care Antimicrobial Resistance Epidemiology). We focused on statistically significant (P<.05) Pearson correlation coefficients for methicillin-resistant Staphylococcus aureus, coagulase-negative staphylococci, vancomycin-resistant enterococci, and resistance to third-generation cephalosporins, imipenem, and fluoroquinolones in Escherichia coli, Klebsiella pneumoniae, Enterobacter species, and Pseudomonas aeruginosa. Resistance prevalence rates in individual hospitals were not strongly correlated among gram-positive organisms, and few correlations were seen between rates in gram-positive and gram-negative organisms. More frequent significant associations were found among resistance rates for gram-negative organisms. Resistance to third-generation cephalosporins in K. pneumoniae was significantly correlated with the majority of other sentinel antimicrobial-resistant organisms. High prevalence of this organism may serve as a marker for more generalized resistance problems in hospital inpatient areas.