Earlier time to hemostasis is associated with decreased mortality and rate of complications: Results from the Pragmatic Randomized Optimal Platelet and Plasma Ratio trial.

BACKDROP: Clinicians intuitively recognize that faster time to hemostasis is important in bleeding trauma patients, but these times are rarely reported. METHODS: Prospectively collected data from the Pragmatic Randomized Optimal Platelet and Plasma Ratios trial were analyzed. Hemostasis was predefined as no intraoperative bleeding requiring intervention in the surgical field or resolution of contrast blush on interventional radiology (IR). Patients who underwent an emergent (within 90 minutes) operating room (OR) or IR procedure were included. Mixed-effects Poisson regression with robust error variance (controlling for age, Injury Severity Score, treatment arm, injury mechanism, base excess on admission [missing values estimated by multiple imputation], and time to OR/IR as fixed effects and study site as a random effect) with modified Bonferroni corrections tested the hypothesis that decreased time to hemostasis was associated with decreased mortality and decreased incidence of acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), multiple-organ failure (MOF), sepsis, and venous thromboembolism. RESULTS: Of 680 enrolled patients, 468 (69%) underwent an emergent procedure. Patients with decreased time to hemostasis were less severely injured, had less deranged base excess on admission, and lower incidence of blunt trauma (all p < 0.05). In 408 (87%) patients in whom hemostasis was achieved, every 15-minute decrease in time to hemostasis was associated with decreased 30-day mortality (RR, 0.97; 95% confidence interval [CI], 0.94-0.99), AKI (RR, 0.97; 95% CI, 0.96-0.98), ARDS (RR, 0.98; 95% CI, 0.97-0.99), MOF (RR, 0.94; 95% CI, 0.91-0.97), and sepsis (RR, 0.98; 95% CI, 0.96-0.99), but not venous thromboembolism (RR, 0.99; 95% CI, 0.96-1.03). CONCLUSION: Earlier time to hemostasis was independently associated with decreased incidence of 30-day mortality, AKI, ARDS, MOF, and sepsis in bleeding trauma patients. Time to hemostasis should be considered as an endpoint in trauma studies and as a potential quality indicator. LEVEL OF EVIDENCE: Therapeutic/care management, level III.

Damage control laparotomy utilization rates are highly variable among Level I trauma centers: Pragmatic, Randomized Optimal Platelet and Plasma Ratios findings.

BACKGROUND: Damage control laparotomy (DCL) is intended to limit deleterious effects from trauma-induced coagulopathy. DCL has been associated with mortality reduction, but may increase complications including sepsis, abscess, respiratory failure, hernia, and gastrointestinal fistula. We hypothesized that (1) DCL incidence would vary between institutions; (2) mortality rates would vary with DCL rates; (3) standard DCL criteria of pH, international normalized ratio, temperature and major intra-abdominal vascular injury would not adequately capture all patients. METHODS: Trauma patients at 12 Level 1 North American trauma centers were randomized based on transfusion ratios as described in the Pragmatic, Randomized Optimal Platelet and Plasma Ratios trial. We analyzed outcomes after emergent laparotomy using a mixed-effects logistic model comparing DCL versus definitive surgical management with random effect for study site. Primary outcomes were 24-hour and 30-day mortality. RESULTS: Three hundred twenty-nine patients underwent emergent laparotomy: 213 (65%) DCL and 116 (35%) definitive surgical management. DCL rates varied between institutions (33-83%), (p = 0.002). Median Injury Severity Score (ISS) was higher in the DCL group, 29 (interquartile range, 13-34) versus 21 (interquartile range, 22-41) (p < 0.001). Twenty-four-hour mortality was 19% with DCL versus 4% (p < 0.001); 30-day mortality was 28% with DCL versus 19% (p < 0.001). In a mixed-effects model, ISS and major intra-abdominal vascular injury were correlates of DCL (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.02-1.07 and OR, 2.7; 95% CI, 1.4-5.2). DCL was not associated with 30-day mortality (OR, 2.33; 95% CI, 0.97-5.60). Correlates included ISS (OR, 1.06; 95% CI, 1.02-1.09), PRBCs in 24 hours (OR, 1.10; 95% CI, 1.03-1.18), and age (OR, 1.04; 95% CI, 1.01-1.06). No significant mortality difference was detected between institutions (p = 0.63). Sepsis and VAP occurred more frequently with DCL (p < 0.05). Eighty percent (135/213) of DCL patients met standard criteria. CONCLUSION: Although DCL utilization varied significantly between institutions, there was no significant mortality difference between centers. This finding suggests tempering DCL use may not decrease mortality, but could decrease related complications. LEVEL OF EVIDENCE: Therapeutic study, level III.

Experiment-specific estimation of peptide identification probabilities using a randomized database.

Determining the error rate for peptide and protein identification accurately and reliably is necessary to enable evaluation and crosscomparisons of high throughput proteomics experiments. Currently, peptide identification is based either on preset scoring thresholds or on probabilistic models trained on datasets that are often dissimilar to experimental results. The false discovery rates (FDR) and peptide identification probabilities for these preset thresholds or models often vary greatly across different experimental treatments, organisms, or instruments used in specific experiments. To overcome these difficulties, randomized databases have been used to estimate the FDR. However, the cumulative FDR may include low probability identifications when there are a large number of peptide identifications and exclude high probability identifications when there are few. To overcome this logical inconsistency, this study expands the use of randomized databases to generate experiment-specific estimates of peptide identification probabilities. These experiment-specific probabilities are generated by logistic and Loess regression models of the peptide scores obtained from original and reshuffled database matches. These experiment-specific probabilities are shown to very well approximate "true" probabilities based on known standard protein mixtures across different experiments. Probabilities generated by the earlier Peptide_Prophet and more recent LIPS models are shown to differ significantly from this study's experiment-specific probabilities, especially for unknown samples. The experiment-specific probabilities reliably estimate the accuracy of peptide identifications and overcome potential logical inconsistencies of the cumulative FDR. This estimation method is demonstrated using a Sequest database search, LIPS model, and a reshuffled database. However, this approach is generally applicable to any search algorithm, peptide scoring, and statistical model when using a randomized database.

Hormonal exposures and the risk of intracranial meningioma in women: a population-based case-control study.

BACKGROUND: The role of exogenous hormone exposures in the development of meningioma is unclear, but these exposures have been proposed as one hypothesis to explain the over-abundance of such tumors in women. METHODS: The association between oral contraception (OC) or hormone replacement therapy (HRT) and intracranial meningioma in women was investigated using a population-based, matched case-control study. Exposures for 143 cases and 286 controls matched on age within five years were obtained by interview. Diagnoses were confirmed histopathologically and estrogen and progesterone receptor assays conducted. RESULTS: Although risk of meningioma appeared modestly elevated in past OC users (OR = 1.5, 95% CI 0.8 - 2.7), and in current users (OR = 2.5, 95% CI 0.5 - 12.6), the confidence intervals were wide. No significant association between meningioma risk and duration of OC use was found. Likewise, risk of meningioma was only weakly associated with past use of HRT (OR = 0.7, 95% CI 0.4 - 1.3), and not at all with current use of HRT (OR = 1.0, 95% CI 0.5 - 2.2). Of 142 available specimens, 2 (1%) expressed estrogen receptors, whereas 130 (92%) expressed progesterone receptors (PR). OC use was associated with increased risk of a meningioma expressing less rather than more PR (OR = 3.2, 95% CI 1.3 - 8.0). Overall, in post menopausal women, HRT use appeared to confer a non-significant protective effect, and was not associated with low or high PR expressing meningiomas. CONCLUSION: This study found little evidence of associations between meningioma and exogenous hormone exposures in women but did suggest that some hormonal exposures may influence tumor biology in those women who develop meningioma.

Active and passive cigarette smoking and risk of intracranial meningioma.

Motivated by prior studies, we examined associations between cigarette smoking and risk of intracranial meningioma in a population-based case-control study, including 200 cases and 2 controls matched to each case on age and sex. Subjects were asked to recall their history of active and passive cigarette smoking occurring 10 or more years before the date of meningioma surgery. Ever active smoking was associated with an increased risk of meningioma in men (OR = 2.1; 95% CI 1.1-4.2) but not in women (OR = 0.7; 95% CI 0.5-1.1). The statistical interaction by gender was significant (p = 0.01). In men, risk increased with increasing number of cigarettes smoked daily (p for trend = 0.04). In women, the trend was opposite (p for trend = 0.08). Among never active smokers, passive smoking from a spouse was associated with increased risk in both sexes (OR 2.0; 95% CI 1.1-3.5), and risk increased with increasing duration of exposure (p for trend = 0.02). Uncertain is whether these findings reflect a true biological phenomenon or result from chance or uncontrolled confounding.

Randomized sequence databases for tandem mass spectrometry peptide and protein identification.

Tandem mass spectrometry (MS/MS) combined with database searching is currently the most widely used method for high-throughput peptide and protein identification. Many different algorithms, scoring criteria, and statistical models have been used to identify peptides and proteins in complex biological samples, and many studies, including our own, describe the accuracy of these identifications, using at best generic terms such as "high confidence." False positive identification rates for these criteria can vary substantially with changing organisms under study, growth conditions, sequence databases, experimental protocols, and instrumentation; therefore, study-specific methods are needed to estimate the accuracy (false positive rates) of these peptide and protein identifications. We present and evaluate methods for estimating false positive identification rates based on searches of randomized databases (reversed and reshuffled). We examine the use of separate searches of a forward then a randomized database and combined searches of a randomized database appended to a forward sequence database. Estimated error rates from randomized database searches are first compared against actual error rates from MS/MS runs of known protein standards. These methods are then applied to biological samples of the model microorganism Shewanella oneidensis strain MR-1. Based on the results obtained in this study, we recommend the use of use of combined searches of a reshuffled database appended to a forward sequence database as a means providing quantitative estimates of false positive identification rates of peptides and proteins. This will allow researchers to set criteria and thresholds to achieve a desired error rate and provide the scientific community with direct and quantifiable measures of peptide and protein identification accuracy as opposed to vague assessments such as "high confidence."

Dental X-rays and the risk of intracranial meningioma: a population-based case-control study.

BACKGROUND: Ionizing radiation is a likely cause of intracranial meningioma. The authors determined whether the risk of intracranial meningioma was associated with past dental X-rays-specifically, posterior bitewings, full-mouth series, and lateral cephalometric and panoramic radiographs. METHODS: The authors conducted a population-based case-control study of residents of King, Pierce, and Snohomish counties in western Washington State. Case patients (n = 200) had an incident intracranial meningioma that was confirmed histologically during life between January 1995 and June 1998. The authors used random-digit dialing and Medicare eligibility lists to identify two control subjects to be matched to each case patient based on age and gender. Exposures were determined during an in-person interview. The authors compared self-report and dental records in a subset of study participants. RESULTS: Of the 4 dental X-ray procedures evaluated, only the full-mouth series (specifically, > or = 6 over a lifetime) was associated with a significantly increased risk of meningioma (odds ratio, 2.06; 95% confidence limits, 1.03-4.17). However, evidence for a dose-response relation was lacking (P for trend = 0.33). The risk was elevated with the aggregate number of full-mouth series in 10-year periods from approximately 15-40 years before diagnosis, with significant elevations in the 10-year periods beginning 22-30 years before diagnosis. The risks in these analyses were even greater when only women were considered. CONCLUSIONS: Dental X-rays involving full-mouth series performed 15-40 years ago, when radiation exposure from full-mouth series was much greater than it is now, were associated with an increased risk of meningioma. The authors did not observe an increased risk with bitewings, lateral cephalometric, and panoramic radiographs.

LIP index for peptide classification using MS/MS and SEQUEST search via logistic regression.

This study addresses the issue of peptide identification resulting from tandem mass spectrometry proteomics analysis followed by database search. This work shows that the Logistic Identification of Peptides (LIP) Index achieves high sensitivity and specificity for peptide classification relative to a manually verified "gold" standard and also accurately estimates the probability of a correct peptide match. The LIP Index is a weighted average of SEQUEST output variables based on logistic regression models and is a transparent, easy to use, inclusive, extendable, and statistically sound approach to classify correct peptide identifications. Modifications, such as normalizing cross-correlations (Xcorr) for peptide length, adjusting for charge state, and the number of tryptic termini, significantly improve the fit the logistic regression models, as well as increase sensitivity and specificity. The LIP Index also incorporates earlier developed statistical models on spectral quality assessment and peptide identification, which further improves sensitivity and specificity.

Predictors of functional change: a longitudinal study of nondemented people aged 65 and older.

OBJECTIVES: To identify factors associated with functional change in an older population and investigate interactions among selected potential risk factors. DESIGN: A population-based prospective cohort study. SETTING: A random sample was selected from the Group Health Cooperative members in the Seattle area from 1994 to 1996 and followed biennially. PARTICIPANTS: Two thousand five hundred eighty-one people aged 65 and older, cognitively intact at baseline. MEASUREMENTS: Functional status was measured by activities of daily living, instrumental activities of daily living, and performance-based physical function testing. RESULTS: The cohort status at the time of these analyses was: deceased, 391; withdrawn, 179; dementia, 152; and on study, 1,873. The mean follow-up time was 3.4 years. Using linear regressions with Generalized Estimating Equation, selected medical conditions (diabetes mellitus, hypertension, coronary heart disease, cerebrovascular disease (CVD), osteoporosis, arthritis, and cancer), low cognitive function, depression, and smoking were associated with worse functional outcomes. Exercise and moderate alcohol use were associated with better functional outcomes. Over the follow-up period, coronary heart disease, CVD, and depression were associated with increased rates of functional decline. Exercise and moderate alcohol consumption were associated with decreased rates of functional decline. Significant interactions were observed between exercise and coronary heart disease, moderate alcohol use and CVD, and cognition and CVD. CONCLUSIONS: Our study has identified not only risk factors associated with functional decline but also the interactions among these factors. These observations, along with other published research, add to the growing understanding of the underlying process of functional change and could provide a basis to design effective strategies to delay functional decline.