Effectiveness of dietary intervention in children and adolescents with elevated blood pressure

Hypertension is a known risk factor for cardiovascular disease in adults. Essential hypertension in children and adolescents is increasing in prevalence in the United States, and hypertension in children may track into adulthood. This increasing prevalence is attributed to the trends of increasing overweight and obese children and adolescents. Family history and being of African-American/black descent may predispose youth to elevated blood pressure. Interventions targeted to reduce and treat hypertension in youth include non-pharmaceutical interventions such as weight reduction, increased physical activity, and dietary changes and pharmaceutical treatment when indicated. The effectiveness of non-pharmaceutical interventions is well documented in adults, but there are limited studies with regards to children and adolescents, specifically in the arena of dietary interventions. Lifestyle modifications such as dietary interventions are the mainstay of recommended treatment for those children and adolescents with prehypertension or stage 1 hypertension. Given the association of being overweight and hypertension, efficacy of dietary interventions are of interest because of reduced cost, easy implementation and potential for multiple beneficial outcomes such as reduced weight and reduction of other metabolic or cardiovascular derangements. Barriers to dietary interventions often include socioeconomic status, ethnicity, personal, and external factors. The goal of this systematic review of the literature is to identify interventions targeted to children and adolescents that focus on recommended dietary changes related to blood pressure. Dietary interventions found for this review mostly focused on a particular nutrient or food group with the one notable exception that focused on the DASH pattern of eating. The effects of the interventions on blood pressure varied, but overall dietary modifications can be achieved in youth and can serve a role in producing positive outcomes on blood pressure. Increasing potassium and following a DASH diet seemed to provide the most clinically significant results. Further studies are still needed to evaluate long-term effectiveness and to contribute more supporting evidence for particular modifications in these age cohorts.^

Comparison of medical care costs, utilization, and satisfaction of AIDS patients with and without home care

A sample of 157 AIDS patients 17 years of age or over were followed for six months from the date of hospital discharge to derive average total cost of medical care, utilization and satisfaction with care. Those referred for home care follow-up after discharge from the hospital were compared with those who did not receive home care.^ The average total cost of medical care for all patients was $34,984. Home care patient costs averaged \$29,614 while patients with no home care averaged $37,091. Private hospital patients had average costs of \$50,650 compared with $25,494 for public hospital patients. Hospital days for the six months period averaged 23.9 per patient for the no home care group and 18.5 days for home care group. Patient satisfaction with care was higher in the home care group than no home care group, with a mean score of 68.2 compared with 61.1.^ Other health services information indicated that 98% of the private hospital patients had insurance while only 2% of public hospital patients had coverage. The time between the initial date of diagnosis with AIDS and admission to the study was longer for private hospital patients, survival time over the study period was shorter, and the number of hospitalizations prior to entering the study was higher for private hospital patients. These results suggest that patients treated in the private hospital were sicker than public hospital patients, which may explain their higher average total cost. Statistical analyses showed that cost and utilization have no significant relationship with home care or no home care when controlling for indicators of the severity of illness and treatment in public or private hospital.^ In future studies, selecting a matched group of patients from the same hospital and following them for nine months to one year would be helpful in making a more realistic comparison of the cost effectiveness of home care. ^

Application of the general linear model to assess the effect of missing data on bone marrow mononuclear cell therapy with infusion timing and follow-up MRI

With most clinical trials, missing data presents a statistical problem in evaluating a treatment's efficacy. There are many methods commonly used to assess missing data; however, these methods leave room for bias to enter the study. This thesis was a secondary analysis on data taken from TIME, a phase 2 randomized clinical trial conducted to evaluate the safety and effect of the administration timing of bone marrow mononuclear cells (BMMNC) for subjects with acute myocardial infarction (AMI).^ We evaluated the effect of missing data by comparing the variance inflation factor (VIF) of the effect of therapy between all subjects and only subjects with complete data. Through the general linear model, an unbiased solution was made for the VIF of the treatment's efficacy using the weighted least squares method to incorporate missing data. Two groups were identified from the TIME data: 1) all subjects and 2) subjects with complete data (baseline and follow-up measurements). After the general solution was found for the VIF, it was migrated Excel 2010 to evaluate data from TIME. The resulting numerical value from the two groups was compared to assess the effect of missing data.^ The VIF values from the TIME study were considerably less in the group with missing data. By design, we varied the correlation factor in order to evaluate the VIFs of both groups. As the correlation factor increased, the VIF values increased at a faster rate in the group with only complete data. Furthermore, while varying the correlation factor, the number of subjects with missing data was also varied to see how missing data affects the VIF. When subjects with only baseline data was increased, we saw a significant rate increase in VIF values in the group with only complete data while the group with missing data saw a steady and consistent increase in the VIF. The same was seen when we varied the group with follow-up only data. This essentially showed that the VIFs steadily increased when missing data is not ignored. When missing data is ignored as with our comparison group, the VIF values sharply increase as correlation increases.^