Special report on the Former Russell Community School District for the period July 1, 2007 through June 30, 2008

Special report on the Former Russell Community School District for the period July 1, 2007 through June 30, 2008

Frequency and determinants of urgent requests to home care agencies for community-dwelling elderly.

We analyzed a one-year case series and performed a longitudinal (4 month) cohort analysis of urgent requests made to home care agencies by and for their > or = 65 years old clients in order to estimate the frequency of unscheduled services delivered by home care agencies and to identify risk factors. All 40 home care agencies located in a Swiss region were included in the study and we registered 3,816 urgent requests (75/1,000 > or = 65 years residents per year). Among home care users, the presence of a urinary catheter, incontinence and the need for assistance in bathing were predictors of unscheduled services. Resources should be planned in order to help home care teams to handle unexpected, disruptive clusters of urgent requests that may compromise their scheduled activities.

Elevated inflammatory markers combined with positive pneumococcal urinary antigen are a good predictor of pneumococcal community-acquired pneumonia in children.

BACKGROUND: Our objective was to evaluate procalcitonin (PCT) and C-reactive protein (CRP) as predictors of a pneumococcal etiology in community-acquired pneumonia (CAP) in hospitalized children. METHODS: Children requiring hospitalization for CAP were prospectively enrolled. The following indices were determined: antibodies against pneumococcal surface proteins (anti-PLY, pneumococcal histidine triad D, pneumococcal histidine triad E, LytB and pneumococcal choline-binding protein A), viral serology, nasopharyngeal cultures and polymerase chain reaction for 13 respiratory viruses, blood pneumococcal polymerase chain reaction, pneumococcal urinary antigen, PCT and CRP. Presumed pneumococcal CAP (P-CAP) was defined as a positive blood culture or polymerase chain reaction for Streptococcus pneumoniae or as a pneumococcal surface protein seroresponse (≥2-fold increase). RESULTS: Seventy-five patients were included from which 37 (49%) met the criteria of P-CAP. Elevated PCT and CRP values were strongly associated with P-CAP with odds ratios of 23 (95% confidence interval: 5-117) for PCT and 19 (95% confidence interval: 5-75) for CRP in multivariate analysis. The sensitivity was 94.4% for PCT (cutoff: 1.5 ng/mL) and 91.9% for CRP (cutoff: 100 mg/L). A value≤0.5 ng/mL of PCT ruled out P-CAP in >90% of cases (negative likelihood ratio: 0.08). Conversely, a PCT value≥1.5 ng/mL associated with a positive pneumococcal urinary antigen had a diagnostic probability for P-CAP of almost 80% (positive likelihood ratio: 4.59). CONCLUSIONS: PCT and CRP are reliable predictors of P-CAP. Low cutoff values of PCT allow identification of children at low risk of P-CAP. The association of elevated PCT or CRP with a positive pneumococcal urinary antigen is a strong predictor of P-CAP.

Iowa Community Empowerment Newsletter, October 2009, Vol 10, no. 4

Monthly newsletter for the Iowa Department of Public Health

Traitement des infections urinaires simples: impact des résistances antibiotiques croissantes dans la communauté [Uncomplicated urinary tract infections: impact of increasing antibiotic resistance in the community].

Uncomplicated urinary tract infections are commonly encountered in primary care and frequently lead to empirical antibiotic prescriptions. The development of antibiotic resistance in the community explains treatment failures observed with commonly-prescribed drugs such as quinolones and co-trimoxazole. This article describes the epidemiology of antibiotic resistance among pathogens causing uncomplicated urinary tract infections and the consequences in terms of recommendations for empirical antibiotic therapy.

Iowa Community Empowerment Newsletter, December 2009, Vol 10, no. 5

Monthly newsletter for the Iowa Department of Public Health

Audit report on Sheldon Community School District in Sheldon, Iowa for the year ended June 30, 2009

Audit report on Sheldon Community School District in Sheldon, Iowa for the year ended June 30, 2009

Audit report on Indian Hills Community College in Ottumwa, Iowa for the year ended June 30, 2009

Audit report on Indian Hills Community College in Ottumwa, Iowa for the year ended June 30, 2009

Audit report on Dunkerton Community School District in Dunkerton, Iowa for the year ended June 30, 2009

Audit report on Dunkerton Community School District in Dunkerton, Iowa for the year ended June 30, 2009

Iowa Community Empowerment Newsletter, February 2010, Vol. 11, no. 1

Monthly newsletter for the Iowa Department of Public Health

Report on a special investigation of the Cedar Rapids Community School District for the period July 1, 2002 through August 24, 2009

Report on a special investigation of the Cedar Rapids Community School District for the period July 1, 2002 through August 24, 2009

Iowa Community Empowerment Newsletter, April 2010, Vol. 11, no. 2

Monthly newsletter for the Iowa Department of Public Health

Low income, community poverty and risk of end stage renal disease

BACKGROUND: The risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD. METHODS: Among 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method. RESULTS: There were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (105 py) in high poverty outlier counties and were 76.3 /105 py in affluent outlier counties, p trend = 0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the < $20,000 income group to the > $75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification. CONCLUSIONS: In contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level.