Michigan Motor Vehicle Service and Repair Act of 1974

This note will analyze the Michigan Motor Vehicle Service and Repair Act, examining the differences between it and prior Michigan and federal legislation. The new legislation will be compared with similar statutes in other states. Finally, the possible drawbacks of repair shop and mechanic certification programs will be discussed, and suggestions for improvements will be made

A simple clinical predictive index for objective estimates of mortality in acute lung injury

Objective: We sought to develop a simple point score that would accurately capture the risk of hospital death for patients with acute lung injury (ALI). Design: This is a secondary analysis of data from two randomized trials. Baseline clinical variables collected within 24 hours of enrollment were modeled as predictors of hospital mortality using logistic regression and bootstrap resampling to arrive at a parsimonious model. We constructed a point score based on regression coefficients. Setting: Medical centers participating in the Acute Respiratory Distress Syndrome Clinical Trials Network (ARDSnet). Patients: Model development: 414 patients with nontraumatic ALI participating in the low tidal volume arm of the ARDSnet Acute Respiratory Management in ARDS study. Model validation: 459 patients participating in the ARDSnet Assessment of Low tidal Volume and elevated End-expiratory volume to Obviate Lung Injury study. Model Validation: 459 patients participating in the ARDSnet Assessment of Low tidal Volume and elevated End-expiratory volume to Obviate Lung Injury trial. Interventions: None. Measurements and Main Results: Variables comprising the prognostic model were hematocrit 2.5 L positive (1 point), and age (1 point for age 40-64 years, 2 points for age ≥65 years). Predicted mortality (95% confidence interval) for 0, 1, 2, 3, and 4+ point totals was 8% (5% to 14%), 17% (12% to 23%), 31% (26% to 37%), 51% (43% to 58%), and 70% (58% to 80%), respectively. There was an excellent agreement between predicted and observed mortality in the validation cohort. Observed mortality for 0, 1, 2, 3, and 4+ point totals in the validation cohort was 12%, 16%, 28%, 47%, and 67%, respectively. Compared with the Acute Physiology Assessment and Chronic Health Evaluation III score, areas under the receiver operating characteristic curve for the point score were greater in the development cohort (0.72 vs. 0.67, p = 0.09) and lower in the validation cohort (0.68 vs. 0.75, p = 0.03). Conclusions: Mortality in patients with ALI can be predicted using an index of four readily available clinical variables with good calibration. This index may help inform prognostic discussions, but validation in nonclinical trial populations is necessary before widespread use.Supported, in part, by F32 HL090220, N01 HR46055, NO1 HR46058 from the National Institutes of Health.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/84157/1/Cooke - Simple ALI mortality model.pd

Adoption of Electronic Medical Record-Based Decision Support for Otitis Media in Children

Substantial investment in electronic health records (EHRs) has provided an unprecedented opportunity to use clinical decision support (CDS) to increase guideline adherence. To inform efforts to maximize adoption, we characterized the adoption of an otitis media (OM) CDS system, the impact of performance feedback on adoption, and the effects of adoption on guideline adherence

Exposure to ambient particulate matter is associated with accelerated functional decline in idiopathic pulmonary fibrosis

BACKGROUND: Idiopathic pulmonary fibrosis (IPF), a progressive disease with an unknown pathogenesis, may be due in part to an abnormal response to injurious stimuli by alveolar epithelial cells. Air pollution and particulate inhalation of matter evoke a wide variety of pulmonary and systemic inflammatory diseases. We therefore hypothesized that increased average ambient particulate matter (PM) concentrations would be associated with an accelerated rate of decline in FVC in IPF. METHODS: We identified a cohort of subjects seen at a single university referral center from 2007 to 2013. Average concentrations of particulate matter < 10 and < 2.5 μg/m3 (PM10 and PM2.5, respectively) were assigned to each patient based on geocoded residential addresses. A linear multivariable mixed-effects model determined the association between the rate of decline in FVC and average PM concentration, controlling for baseline FVC at first measurement and other covariates. RESULTS: One hundred thirty-five subjects were included in the final analysis after exclusion of subjects missing repeated spirometry measurements and those for whom exposure data were not available. There was a significant association between PM10 levels and the rate of decline in FVC during the study period, with each μg/m3 increase in PM10 corresponding with an additional 46 cc/y decline in FVC (P = .008). CONCLUSIONS: Ambient air pollution, as measured by average PM10 concentration, is associated with an increase in the rate of decline of FVC in IPF, suggesting a potential mechanistic role for air pollution in the progression of disease

Novel variants in the PRDX6 Gene and the risk of Acute Lung Injury following major trauma

<p>Abstract</p> <p>Background</p> <p>Peroxiredoxin 6 (<it>PRDX6</it>) is involved in redox regulation of the cell and is thought to be protective against oxidant injury. Little is known about genetic variation within the PRDX6 gene and its association with acute lung injury (ALI). In this study we sequenced the <it>PRDX6 </it>gene to uncover common variants, and tested association with ALI following major trauma.</p> <p>Methods</p> <p>To examine the extent of variation in the <it>PRDX6 </it>gene, we performed direct sequencing of the 5' UTR, exons, introns and the 3' UTR in 25 African American cases and controls and 23 European American cases and controls (selected from a cohort study of major trauma), which uncovered 80 SNPs. <it>In silico </it>modeling was performed using Patrocles and Transcriptional Element Search System (TESS). Thirty seven novel and tagging SNPs were tested for association with ALI compared with ICU at-risk controls who did not develop ALI in a cohort study of 259 African American and 254 European American subjects that had been admitted to the ICU with major trauma.</p> <p>Results</p> <p>Resequencing of critically ill subjects demonstrated 43 novel SNPs not previously reported. Coding regions demonstrated no detectable variation, indicating conservation of the protein. Block haplotype analyses reveal that recombination rates within the gene seem low in both Caucasians and African Americans. Several novel SNPs appeared to have the potential for functional consequence using <it>in silico </it>modeling. Chi²analysis of ALI incidence and genotype showed no significant association between the SNPs in this study and ALI. Haplotype analysis did not reveal any association beyond single SNP analyses.</p> <p>Conclusions</p> <p>This study revealed novel SNPs within the <it>PRDX6 </it>gene and its 5' and 3' flanking regions via direct sequencing. There was no association found between these SNPs and ALI, possibly due to a low sample size, which was limited to detection of relative risks of 1.93 and above. Future studies may focus on the role of <it>PRDX6 </it>genetic variation in other diseases, where oxidative stress is suspected.</p

Reproducibility of preclinical animal research improves with heterogeneity of study samples

Single-laboratory studies conducted under highly standardized conditions are the gold standard in preclinical animal research. Using simulations based on 440 preclinical studies across 13 different interventions in animal models of stroke, myocardial infarction, and breast cancer, we compared the accuracy of effect size estimates between single-laboratory and multi-laboratory study designs. Single-laboratory studies generally failed to predict effect size accurately, and larger sample sizes rendered effect size estimates even less accurate. By contrast, multi-laboratory designs including as few as 2 to 4 laboratories increased coverage probability by up to 42 percentage points without a need for larger sample sizes. These findings demonstrate that within-study standardization is a major cause of poor reproducibility. More representative study samples are required to improve the external validity and reproducibility of preclinical animal research and to prevent wasting animals and resources for inconclusive research

Clinically useful measures of effects of treatment and exposure from binary multi-center data

Statement of the problem. Results from multi-center randomized, observational, and cross-sectional studies involving binary outcomes are often reported in terms that lack meaning and usefulness to audiences of clinicians or health policy analysts. In addition, the statistical methods used for multi-center studies are often applied to data generated by biological or behavioral processes that are unobserved, without regard to the disparity between the underlying form of the data and the model for estimation. Procedures and methods. Computer-based simulations tested the performance of alternative methods for estimating, with appropriate confidence intervals (variance), relative risk for single center studies, and odds ratios and risk difference for multi-center, and the performance of alternative methods for estimating treatment effects with rare outcomes. Results. For single center studies, logistic regression using the delta method or bootstrap resampling outperformed alternative methods, such as Poisson regression, for estimating relative risk. In multi-center studies, logistic regression is also more robust to misspecification than is linear regression when the additive or multiplicative nature of the true disease process is not observed. In the context of repeated cross-sectional and longitudinal cluster-randomization studies with binary outcomes, the bias and coverage of statistical methods depends heavily on the exact study design. Bayesian methods exhibit the best overall performance, especially when patients are followed within centers over time and the number of centers is small. Finally, the performance of statistical methods in the analysis of rare outcomes from multi-center studies also depends on the study design, and “exact methods” do not routinely exhibit the best performance. Conclusions . For the analysis of binary outcomes from both single and multi-center studies, logistic regression is often the method of choice, regardless of whether the goal of analysis is an estimate of the odds ratio or risk difference. But the optimal method of implementing logistic regression depends on the precise study design. When outcomes are rare, no single method of analyzing binary outcomes performs best

Presumption of Dependence in Workers\u27 Compensation Death Benefits as a Denial of Equal Protection

This note will examine the sex bias prevalent in many workers\u27 compensation statutes and the constitutionality of these statutes in light of recent Supreme Court decisions on sex discrimination. After this examination, alternative methods for effecting reform of the sex-biased death benefit provisions will be analyzed

Michigan Motor Vehicle Service and Repair Act of 1974

This note will analyze the Michigan Motor Vehicle Service and Repair Act, examining the differences between it and prior Michigan and federal legislation. The new legislation will be compared with similar statutes in other states. Finally, the possible drawbacks of repair shop and mechanic certification programs will be discussed, and suggestions for improvements will be made