Water to Thrive health needs assessment for Robit, Ethiopia

Developing countries suffer from an array of diseases, of which the developed world is unfamiliar. In order to facilitate the development of community interventions and streamline NGO partnership, needs assessments in targeted areas are conducted. The purpose of this assessment was to attain baseline descriptive data to further understand the needs of the village of Robit, Ethiopia. A trained team collected data from Austin based non-profit Water to Thrive (W2T) on June 1st and 2nd, 2011 through focus groups, key informant interviews, and individual surveys. Qualitative and quantitative data were paired to affirm the results of one another through triangulation. The results identified an apparent need for health intervention and education. Malaria, water-borne disease, respiratory issues (asthma, Upper respiratory tract infections), and maternal and child health were among the evident problems in Robit. There was a clear need for midwife training as well as water sanitation, latrine building, and general illness treatment. Poor road conditions and annual flooding of Robit plays an important role in the poor health and lack of food security of the village. While some evidence of social desirability and recall bias was found in the interview and survey data, the triangulation of findings provided important insights and validity to the needs assessment. ^

Bacteremia and mortality within 30 days of catheter-associated bacteriuria

Background: The distinction between catheter-associated asymptomatic bacteriuria (CAABU) and catheter-associated urinary tract infection (CAUTI) has only recently been widely appreciated. Our aims were to describe the relationship between CAUTI/CAABU and subsequent bacteremia and to investigate whether CAUTI/CAABU and antimicrobial use was associated with either bacteremia or mortality within 30 days. ^ Methods: Our study design was retrospective cohort. Patients with a urinary catheter and a positive urine culture between October 2010 and June 2011 at a large tertiary care facility were included. A multivariable model for analysis was constructed which controlled for age, race, Charlson co-morbidity score, catheter type and duration, category of organism,antimicrobials and classification of the catheter-associated bacteriuria as CAUTI or CAABU. ^ Results: Data from 444 catheter associated urine culture episodes in 308 unique patients were included in the analysis. Overall mortality was 21.1% (61 of 308 patients) within 30 days. Among the 444 urine culture episodes, 402 (90.5%) of these episodes were associated with antibiotic use. 52 (11.7%) of episodes were associated with bacteremia, but only 3 episodes of bacteremia (0.7% of 444 CAB episodes) were caused by an organism from the urinary tract. One of these episodes was CAABU and the other 2 were CAUTI. Bacteremia within 30 days was associated with having CAUTI rather than CAABU and having an indwelling urinary catheter rather than a condom catheter. The variables which were found to be significant for mortality within 30 days were a higher Charlson co-morbidity score and the presence of Candida in the urine culture. Use of antimicrobial agents to treat the bacteriuria was not associated with an increase or decrease in either bacteremia or mortality. ^ Conclusions: Our findings call into question the practice of giving antimicrobial agents to treat bacteriuria in an inpatient population with nearly universal antimicrobial use. A better practice may be targeted treatment of bacteriuria in patients with risk factors predictive of bacteremia and mortality.^

Scanned Ion Beam Therapy for Thoracic Tumors

Although frequently cured of Hodgkin lymphoma, adolescents and young adults can develop radiation induced second cancers. These patients could potentially benefit from scanned ion radiotherapy yet likely would require motion mitigation strategies. In theory, four-dimensional (4D) optimization of ion beam fields for individual motion states of respiration can enable superior sparing of healthy tissue near moving targets, compared to other motion mitigation strategies. Furthermore, carbon-ion therapy can sometimes provide greater relative biological effectiveness (RBE) for cell sterilization in a target but nearly equivalent RBE in tissue upstream of the target, compared to proton therapy. Thus, we expected that for some patients with Hodgkin lymphoma, carbon-ion therapy would reduce the predicted risk of second cancer incidence in the breast compared with proton therapy. The purpose of this work was to determine whether 4D-optimized carbon-ion therapy would significantly reduce the predicted risk of radiation induced second cancers in the breast for female Hodgkin lymphoma patients while preserving tumor control compared with proton therapy. To achieve our goals, we first investigated whether 4D-optimized carbon beam tracking could reduce dose to volumes outside a moving target compared with 3D-optimized carbon beam tracking while preserving target dose coverage. To understand the reliability of scanned carbon beam tracking, we studied the robustness of dose distributions in thoracic targets to uncertainties in patient motion. Finally, we investigated whether using carbon-ion therapy instead of proton therapy would significantly reduce the predicted risk of second cancer in the breast for a sample of Hodgkin lymphoma patients. We found that 4D-optimized ion beam tracking therapy can reduce the maximum dose to critical structures near a moving target by as much as 53%, compared to 3D-optimized ion beam tracking therapy. We validated these findings experimentally using a scanned carbon ion synchrotron and a motion phantom. We found scanned carbon beam tracking to be sensitive to a number of motion uncertainties, most notably phase delays in tracking, systematic spatial errors, and interfractional motion changes. Our findings indicate that a lower risk of second cancer in the breast might be expected for some Hodgkin lymphoma patients using carbon-ion therapy instead of proton therapy. For our reference scenario, we found the ratio of risk to be 0.77 ± 0.35 for radiogenic breast cancer after carbon-ion therapy versus proton therapy. Our findings were dependent on the RBE values for tumor induction and the radiosensitivity of breast tissue, as well as the physical dose distribution.

Seasonality of respiratory syncytial virus infection in Texas

Respiratory syncytial virus (RSV) is a common cause of respiratory infection in infants and children that can result in bronchiolitis or pneumonia. Each year in the United States, it causes up to 400 deaths and 125,000 hospitalizations among children less than one year of age. RSV is transmitted by direct or close contact with contaminated secretions, which may involve droplets and fomites. Monthly administration of a monoclonal RSV antibody, palivizumab (Synagis™, MedImmune, Gaithersburg, MD), in premature infants, infants with chronic lung disease, or congenital heart disease has been shown to significantly reduce the risk of severe RSV infection. The Centers for Disease Control and Prevention's (CDC) National Respiratory and Enteric Virus Surveillance System (NREVSS) is a laboratory based passive reporting system that collects state, regional, and national RSV data. The CDC defines the RSV season onset as “the first of 2 consecutive weeks during which the mean percentage of specimens testing positive for RSV antigen is 10%.” RSV season offset is defined as the last of 2 consecutive weeks during which the percentage of positive specimens is less than or equal to 10%. Annual RSV epidemics generally occur during the winter and early spring months, but the RSV season is known to vary by national regions. Precise delineation of the RSV epidemiology by region could maximize protection from RSV and minimize the cost of RSV immune prophylaxis. ^ The purpose of this thesis is to define the RSV season in Texas over time; compare the RSV season of the state of Texas and its regions with the national norms; and to compare RSV seasonality between the various regions in Texas. ^ This study was a retrospective analysis of data reported to NREVSS to evaluate potential disparities in the onset weeks, offset weeks, and duration of the annual RSV season in Texas. Data were collected from 70 reporting sites, and includes information from the 2004–2005 to 2009–2010 RSV seasons. ^ The observed median onset (week 44) and offset week (week 8) for the Texas were consistent with national estimates for the South. Regional estimates and statistical analysis suggested that the RSV season in Texas would be better represented by regions. Regional seasonal comparisons revealed considerable variation in season offset and duration between many of the geographic regions within Texas. This trend should be studied further.^