Comparison of two strategies for the treatment of acute myocardial infarction: In-hospital outcomes analysis

A strategy of pre-hospital reduced dose fibrinolytic administration coupled with urgent coronary intervention (PCI) for patients with STEMI (FAST-PCI) has been found to be superior to primary PCI (PPCI) alone. A coordinated STEMI system-of-care that includes FAST-PCI might offer better outcomes than pre-hospital diagnosis and STEMI team activation followed by PPCI alone. We compared the in-hospital outcomes for patients treated with the FAST-PCI approach with outcomes for patients treated with the PPCI approach during a pause in the FAST-PCI protocol. In-hospital data for 253 STEMI patients (03/2003–12/2009), treated with FAST-PCI protocol were compared to 124 patients (12/2009–08/2011), treated with PPCI strategy alone. In-hospital mortality was the primary endpoint. Stroke, major bleeding, and reinfarction during index hospitalization were secondary endpoints. Comparing the strategies used during the two time intervals, in-hospital mortality was significantly lower with FAST-PCI than with PPCI (2.77% vs. 10.48%, p = 0.0017). Rates of stroke, reinfarction and major bleeding were similar between the two groups. There was a lower frequency of pre- PCI TIMI 0 flow (no patency) seen in patients treated with FAST-PCI compared to the PPCI patients (26.7% vs. 62.7%, p<0.0001). Earlier infarct related artery patency in the FAST-PCI group had a favorable impact on the incidence of cardiogenic shock at hospital admission (FAST-PCI- 3.1% vs. PPCI- 20.9%, p<0.0001). The FAST-PCI strategy was associated with earlier infarct related artery patency and the lower incidence of cardiogenic shock on hospital arrival, as well as with reduced in-hospital mortality among STEMI patients.^

A comparison of Markov and generalized linear models of hospital mortality

This paper reports a comparison of three modeling strategies for the analysis of hospital mortality in a sample of general medicine inpatients in a Department of Veterans Affairs medical center. Logistic regression, a Markov chain model, and longitudinal logistic regression were evaluated on predictive performance as measured by the c-index and on accuracy of expected numbers of deaths compared to observed. The logistic regression used patient information collected at admission; the Markov model was comprised of two absorbing states for discharge and death and three transient states reflecting increasing severity of illness as measured by laboratory data collected during the hospital stay; longitudinal regression employed Generalized Estimating Equations (GEE) to model covariance structure for the repeated binary outcome. Results showed that the logistic regression predicted hospital mortality as well as the alternative methods but was limited in scope of application. The Markov chain provides insights into how day to day changes of illness severity lead to discharge or death. The longitudinal logistic regression showed that increasing illness trajectory is associated with hospital mortality. The conclusion is reached that for standard applications in modeling hospital mortality, logistic regression is adequate, but for new challenges facing health services research today, alternative methods are equally predictive, practical, and can provide new insights. ^

Quantitative comparison of late effects following photon versus proton external-beam radiation therapies: Toward an evidence-based approach to selecting a treatment modality

Radiation therapy has been used as an effective treatment for malignancies in pediatric patients. However, in many cases, the side effects of radiation diminish these patients’ quality of life. In order to develop strategies to minimize radiogenic complications, one must first quantitatively estimate pediatric patients’ relative risk for radiogenic late effects, which has not become feasible till recently because of the calculational complexity. The goals of this work were to calculate the dose delivered to tissues and organs in pediatric patients during contemporary photon and proton radiotherapies; to estimate the corresponding risk of radiogenic second cancer and cardiac toxicity based on the calculated doses and on dose-risk models from the literature; to test for the statistical significance of the difference between predicted risks after photon versus proton radiotherapies; and to provide a prototype of an evidence-based approach to selecting treatment modalities for pediatric patients, taking second cancer and cardiac toxicity into account. The results showed that proton therapy confers a lower predicted risk of radiogenic second cancer, and lower risks of radiogenic cardiac toxicities, compared to photon therapy. An uncertainty analysis revealed that the qualitative findings of this study are insensitive to changes in a wide variety of host and treatment related factors.

Comparison of health behaviors of Mexican American and non -Hispanic White females: Implications for health promotion programs

Hispanics form the second-largest minority group in the United States totaling 22 million people. Health data on this population are sparse and inconsistent. This study seeks to determine use of preventative services and risk factor behaviors of Mexican American and non-Hispanic White females residing in South Texas.^ Baseline data from female respondents in household surveys in six South Texas counties (Ramirez and McAlister, 1988; McAlister et al., 1992) were analyzed to test the following hypotheses: (1) Mexican American and Non-Hispanic White females exhibit different patterns of health behaviors; (2) Mexican American females will exhibit different health behaviors regardless of age; and (3) the differences between Mexican American women and non-Hispanic White females are due to education and acculturation factors.^ Over the past decade, the traditional behaviors of Mexican American females have begun to change due to education, acculturation, and their participation in the labor force. The results from this study identify some of the changes that will require immediate attention from health care providers. Results revealed that regardless of ethnicity, age, education, and language preference, non-Hispanic White females were significantly more likely to participate in preventive screening practices than were Mexican American females. Risk factor analysis revealed a different pattern with Mexican American females significantly more likely to be non-smokers, non-alcoholic drinkers, and to have good fat avoidance practices compared to non-Hispanic White females. However, compared to those who are less-educated or Spanish-speaking, Mexican American females with higher levels of education and preference for speaking English only showed positive and negative health behaviors that were more similar to the non-Hispanic White females. The positive health behaviors that come with acculturation, e.g., more participation in preventive care and more physical activity, are welcome changes. But this study has implications for global health development and reinforces a need for "primordial" prevention strategies to deter the unwanted concomitants of economic development and acculturation. Smoking and drinking behaviors among Mexican American females need to be kept at low levels to prevent increased morbidity and premature deaths in this population. ^