Women's Wellness Through Equity and Leadership (WEL): A Program Evaluation

BACKGROUND AND OBJECTIVES

The Women's Wellness through Equity and Leadership (WEL) program was developed as a collaboration between 6 major medical associations in the United States. The goal was to contribute to the creation of equitable work environments for women physicians. The purpose of the current study was to evaluate the pilot implementation of WEL.

METHODS

Participants included a diverse group of 18 early career to midcareer women physicians from across medical specialties, 3 from each partner organization. WEL was developed as an 18-month program with 3 series focused on wellness, equity, and leadership and included monthly virtual and in-person meetings. After institutional board review approval, a mixed-methods evaluation design was incorporated, which included postseries and postprogram surveys and in-depth telephone interviews.

RESULTS

Participants delineated several drivers of program success, including peer support and/or networks; interconnectedness between the topics of wellness, equity, and leadership; and diversity of participants and faculty. Areas for improvement included more opportunities to connect with peers and share progress and more structured mentorship. Regarding program impact, participants reported increased knowledge and behavior change because of their participation.

CONCLUSIONS

This longitudinal, cohort initiative resulted from a successful collaboration between 6 medical associations. Evaluation findings suggest that providing opportunities for women physicians to connect with and support each other while building knowledge and skills can be an effective way to advance wellness, equity, and leadership for women in medicine.

A mesoscale finite element modeling approach for understanding brain morphology and material heterogeneity effects in chronic traumatic encephalopathy

Chronic Traumatic Encephalopathy (CTE) affects a significant portion of athletes in contact sports but is difficult to quantify using clinical examinations and modeling approaches. We use an in silico approach to quantify CTE biomechanics using mesoscale Finite Element (FE) analysis that bridges with macroscale whole head FE analysis. The sulci geometry produces complex stress waves that interact with one another to create increased shear stresses at the sulci depth that are significantly larger than in analyses without sulci (from 0.5 to 18.0 kPa). Sulci peak stress concentration regions coincide with experimentally observed CTE sites documented in the literature. HighlightsSulci introduce stress localizations at their depth in the gray matterSulci stress fields interact to produce stress concentration sites in white matterDifferentiating brain tissue properties did not significantly affect peak stresses.

Pilot test of an accrual Common Metric for the NIH Clinical and Translational Science Awards (CTSA) Consortium: Metric usefulness

The Common Metrics Initiative aims to develop and field metrics to improve research processes within the national Clinical and Translational Science Award (CTSA) Consortium. A Median Accrual Ratio (MAR) common metric was developed to assess the results of efforts to increase subject accrual into a set of clinical trials within the expected time period. A pilot test of the MAR was undertaken at Tufts Clinical and Translational Science Institute (CTSI) with eight CTSA Consortium hubs. Post-pilot interviews were conducted with 9 CTSA Principal Investigators (PIs) and 23 pilot team members. Over three-quarters (78%) of respondents reported that the MAR could be useful for performance improvement, but also described limitations or concerns. The most commonly cited barrier to MAR use for performance improvement was difficulty in interpreting the single value that is produced. Most respondents were interested in using the MAR to assess recruitment at an individual trial level. Majority of respondents (63%) had mixed opinions about aggregating metric results across the CTSA Consortium for comparison or benchmarking. Collecting data about additional contextual factors, and comparing accrual between subgroups, were cited as potentially helping address concerns about aggregation. Significant challenges remain in ensuring that the MAR can be sufficiently useful for collaborative process improvement. We offer recommendations to potentially improve metric usefulness.

Pilot test of an accrual Common Metric for the NIH Clinical and Translational Science Awards (CTSA) Consortium: Metric feasibility and data quality

Failure to accrue participants into clinical trials incurs economic costs, wastes resources, jeopardizes answering research questions meaningfully, and delays translating research discoveries into improved health. This paper reports the results of a pilot test of the Median Accrual Ratio (MAR) metric developed as a part of the Common Metrics Initiative of the NIH's National Center for Advancing Translational Science (NCATS) Clinical and Translational Science Award (CTSA) Consortium. Using the metric is intended to enhance the ability of the CTSA Consortium and its "hubs" to increase subject accrual into trials within expected timeframes. The pilot test was undertaken at Tufts Clinical and Translational Science Institute (CTSI) with eight CTSA Consortium hubs. We describe the pilot test methods, and results regarding feasibility of collecting metric data and the quality of data that was collected. Participating hubs welcomed the opportunity to assess accrual efforts, but experienced challenges in collecting accrual metric data due to insufficient infrastructure and inconsistent implementation of electronic data systems and lack of uniform data definitions. Also, the metric could not be constructed for all trial designs, particularly those using competitive enrollment strategies. We offer recommendations to address the identified challenges to facilitate progress to broad accrual metric data collection and use.

Co-Designing a Collaborative Chronic Care Network (C3N) for Inflammatory Bowel Disease: Development of Methods

Background

Our health care system fails to deliver necessary results, and incremental system improvements will not deliver needed change. Learning health systems (LHSs) are seen as a means to accelerate outcomes, improve care delivery, and further clinical research; yet, few such systems exist. We describe the process of codesigning, with all relevant stakeholders, an approach for creating a collaborative chronic care network (C3N), a peer-produced networked LHS.

Objective

The objective of this study was to report the methods used, with a diverse group of stakeholders, to translate the idea of a C3N to a set of actionable next steps.

Methods

The setting was ImproveCareNow, an improvement network for pediatric inflammatory bowel disease. In collaboration with patients and families, clinicians, researchers, social scientists, technologists, and designers, C3N leaders used a modified idealized design process to develop a design for a C3N.

Results

Over 100 people participated in the design process that resulted in (1) an overall concept design for the ImproveCareNow C3N, (2) a logic model for bringing about this system, and (3) 13 potential innovations likely to increase awareness and agency, make it easier to collect and share information, and to enhance collaboration that could be tested collectively to bring about the C3N.

Conclusions

We demonstrate methods that resulted in a design that has the potential to transform the chronic care system into an LHS.

Digoxin Use Is Associated With Reduced Interstage Mortality in Patients With No History of Arrhythmia After Stage I Palliation for Single Ventricle Heart Disease

Background

Interstage mortality (IM) remains significant after stage 1 palliation (S1P) for single‐ventricle heart disease (SVD), with many deaths sudden and unexpected. We sought to determine whether digoxin use post‐S1P is associated with reduced IM, utilizing the multicenter database of the National Pediatric Cardiology Quality Improvement Collaborative (NPCQIC).

Methods and Results

From June 2008 to July 2013, 816 infants discharged after S1P from 50 surgical sites completed the interstage to stage II palliation, transplant, or IM. Arrhythmia during S1P hospitalization or discharge on antiarrhythmic medications were exclusions (n=270); 2 patients were lost to follow‐up. Two analyses were performed: (1) propensity‐score adjusted logistic regression with IM as outcome and (2) retrospective cohort analysis for patients discharged on digoxin versus not, matched for surgical site and other established IM risk factors. Of 544 study patients, 119 (21.9%) were discharged on digoxin. Logistic regression analysis with propensity score, site‐size group, and digoxin use as predictor variables showed an increased risk of IM in those not discharged on digoxin (odds ratio, 8.6; lower confidence limit, 1.9; upper confidence limit, 38.3; P<0.01). The retrospective cohort analysis for 60 patients on digoxin (matched for site of care, type of S1P, post‐S1P ECMO use, genetic syndrome, discharge feeding route, ventricular function, tricuspid regurgitation, and aortic arch gradient) showed 0% IM in the digoxin at discharge group and an estimated IM difference between the 2 groups of 9% (P=0.04).

Conclusions

Among SVD infants in the NPCQIC database discharged post‐S1P with no history of arrhythmia, use of digoxin at discharge was associated with reduced IM.

Transparency in a Pediatric Quality Improvement Collaborative: A Passionate Journey by NPC-QIC Clinicians and Parents

Transparency-sharing data or information about outcomes, processes, protocols, and practices-may be the most powerful driver of health care improvement. In this special article, the development and growth of transparency within the National Pediatric Cardiology Quality Improvement Collaborative is described. The National Pediatric Cardiology Quality Improvement Collaborative transparency journey is guided by equal numbers of clinicians and parents of children with congenital heart disease working together in a Transparency Work Group. Activities are organized around four interrelated levels of transparency (individual, organizational, collaborative, and system), each with a specified purpose and aim. A number of Transparency Work Group recommendations have been operationalized. Aggregate collaborative performance is now reported on the public-facing web site. Specific information that the Transparency Work Group recommends centers provide to parents has been developed and published. Almost half of National Pediatric Cardiology Quality Improvement Collaborative centers participated in a pilot of transparently sharing their outcomes achieved with one another. Individual centers have also begun successfully implementing recommended transparency activities. Despite progress, barriers to full transparency persist, including health care organization concerns about potential negative effects of disclosure on reputation and finances, and lack of reliable definitions, data, and reporting standards for fair comparisons of centers. The National Pediatric Cardiology Quality Improvement Collaborative's transparency efforts have been a journey that continues, not a single goal or destination. Balanced participation of clinicians and parents has been a critical element of the collaborative's success on this issue. Plans are in place to guide implementation of additional transparency recommendations across all four levels, including extension of the activities beyond the collaborative to support transparency efforts in national cardiology and cardiac surgery societies.

Biomarker-based asthma phenotypes of corticosteroid response

BACKGROUND

Asthma is a heterogeneous disease with different phenotypes. Inhaled corticosteroid (ICS) therapy is a mainstay of treatment for asthma, but the clinical response to ICSs is variable.

OBJECTIVE

We hypothesized that a panel of inflammatory biomarkers (ie, fraction of exhaled nitric oxide [Feno], sputum eosinophil count, and urinary bromotyrosine [BrTyr] level) might predict steroid responsiveness.

METHODS

The original study from which this analysis originates comprised 2 phases: a steroid-naive phase 1 and a 28-day trial of ICSs (phase 2) during which Feno values, sputum eosinophil counts, and urinary BrTyr levels were measured. The response to ICSs was based on clinical improvements, including a 12% or greater increase in FEV1, a 0.5-point or greater decrease in Asthma Control Questionnaire score, and 2 doubling dose or greater increase in provocative concentration of adenosine 5'-monophosphate causing a 20% decrease in FEV1 (PC20AMP). Healthy control subjects were also evaluated in this study for comparison of biomarkers with those seen in asthmatic patients.

RESULTS

Asthmatic patients had higher than normal Feno values, sputum eosinophil counts, and urinary BrTyr levels during the steroid-naive phase and after ICS therapy. After 28-day trial of ICSs, Feno values decreased in 82% of asthmatic patients, sputum eosinophil counts decreased in 60%, and urinary BrTyr levels decreased in 58%. Each of the biomarkers at the steroid-naive phase had utility for predicting steroid responsiveness, but the combination of high Feno values and high urinary BrTyr levels had the best power (13.3-fold, P < .01) to predict a favorable response to ICS therapy. However, the magnitude of the decrease in biomarker levels was unrelated to the magnitude of clinical response to ICS therapy.

CONCLUSION

A noninvasive panel of biomarkers in steroid-naive asthmatic patients predicts clinical responsiveness to ICS therapy.

Pediatric collaborative networks for quality improvement and research

Despite efforts of individual clinicians, pediatric practices, and institutions to remedy continuing deficiencies in pediatric safety and health care quality, multiple gaps and disparities exist. Most pediatric diseases are rare; thus, few practices or centers care for sufficient numbers of children, particularly in subspecialties, to achieve large and representative sample sizes, and substantial between-site variation in care and outcomes persists. Pediatric collaborative improvement networks are multi-site clinical networks that allow practice-based teams to learn from one another, test changes to improve quality, and use their collective experience and data to understand, implement, and spread what works in practice. The model was initially developed in 2002 by an American Board of Pediatrics Workgroup to accelerate the translation of evidence into practice, improve care and outcomes for children, and to serve as the gold standard for the performance in practice component of Maintenance of Certification requirements. Many features of an improvement network derive from the Institute for Healthcare Improvement's collaborative improvement model Breakthrough Series, including focus on a high-impact condition or topic; providing support from clinical content and quality improvement experts; using the Model for Improvement to set aims, use data for feedback, and test changes iteratively; providing infrastructure support for data collection, analysis and reporting, and quality improvement coaching; activities to enhance collaboration; and participation of multidisciplinary teams from multiple sites. In addition, they typically include a population registry of the children receiving care for the improvement topic of interest. These registries provide large and representative study samples with high-quality data that can be used to generate information and evidence, as well as to inform clinical decision making. In addition to quality improvement, networks serve as large-scale health system laboratories, providing the social, scientific, and technical infrastructure and data for multiple types of research. Statewide, regional, and national pediatric collaborative networks have demonstrated improvements in primary care practice as well as care for chronic pediatric diseases (eg, asthma, cystic fibrosis, inflammatory bowel disease, congenital heart disease), perinatal care, and patient safety (eg, central line-associated blood stream infections, adverse medication events, surgical site infections); many have documented improved outcomes. Challenges to spreading the improvement network model exist, including the need for the identification of stable funding sources. However, these barriers can be overcome, allowing the benefits of improved care and outcomes to spread to additional clinical and safety topics and care processes for the nation's children.

Prevalence and nature of adverse medical device events in hospitalized children

Our objective was to describe the prevalence and nature of adverse medical device events (AMDEs) in tertiary care children's hospitals. In our retrospective cohort study of patients at 44 children's hospitals in the Pediatric Health Information System (PHIS), we included all inpatient stays with an AMDE-related diagnosis from January 1, 2004 to December 31, 2011. We identified AMDEs by diagnoses that specified a device in their definition. We included events present on admission as well as those complicating hospital stays. We described the characteristics of these admissions and patients, and stratified analysis by device category and presence of a complex chronic condition. Of 4,115,755 admissions in the PHIS database during the study period, 136,465 (3.3%) had at least 1 AMDE. Vascular access and nervous system devices together represented 44.4% of pediatric AMDE admissions. The majority (75.5%) of AMDE admissions were of children with complex chronic conditions. The most common age group was patients aged 2 years or less at the time of their first AMDE-related admission. AMDEs occur commonly in a population cared for in tertiary children's hospitals. Research to more specifically delineate AMDEs and their predictors are next steps to understand and improve device safety in children.

Collaborative Chronic Care Networks (C3Ns) to transform chronic illness care

Despite significant gains by pediatric collaborative improvement networks, the overall US system of chronic illness care does not work well. A new paradigm is needed: a Collaborative Chronic Care Network (C3N). A C3N is a network-based production system that harnesses the collective intelligence of patients, clinicians, and researchers and distributes the production of knowledge, information, and know-how over large groups of people, dramatically accelerating the discovery process. A C3N is a platform of "operating systems" on which interconnected processes and interventions are designed, tested, and implemented. The social operating system is facilitated by community building, engaging all stakeholders and their expertise, and providing multiple ways to participate. Standard progress measures and a robust information technology infrastructure enable the technical operating system to reduce unwanted variation and adopt advances more rapidly. A structured approach to innovation design provides a scientific operating system or "laboratory" for what works and how to make it work. Data support testing and research on multiple levels: comparative effectiveness research for populations, evaluating care delivery processes at the care center level, and N-of-1 trials and other methods to select the best treatment of individual patient circumstances. Methods to reduce transactional costs to participate include a Federated IRB Model in which centers rely on a protocol approved at 1 central institutional review board and a "commons framework" for organizational copyright and intellectual property concerns. A fully realized C3N represents a discontinuous leap to a self-developing learning health system capable of producing a qualitatively different approach to improving health.

Pediatric collaborative improvement networks: background and overview

Multiple gaps exist in health care quality and outcomes for children, who receive <50% of recommended care. The American Board of Pediatrics has worked to develop an improvement network model for pediatric subspecialties as the optimal means to improve child health outcomes and to allow subspecialists to meet the performance in practice component of Maintenance of Certification requirements. By using successful subspecialty initiatives as exemplars, and features of the Institute for Healthcare Improvement's Breakthrough Series model, currently 9 of 14 pediatric subspecialties have implemented collaborative network improvement efforts. Key components include a common aim to improve care; national multicenter prospective collaborative improvement efforts; reducing unnecessary variation by identifying, adopting, and testing best practices; use of shared, valid, high-quality real-time data; infrastructure support to apply improvement science; and public sharing of outcomes. As a key distinguisher from time-limited collaboratives, ongoing pediatric collaborative improvement networks begin with a plan to persist until aims are achieved and improvement is sustained. Additional evidence from within and external to health care has accrued to support the model since its proposal in 2002, including the Institute of Medicine's vision for a Learning Healthcare System. Required network infrastructure systems and capabilities have been delineated and can be used to accelerate the spread of the model. Pediatric collaborative improvement networks can serve to close the quality gap, engage patients and caregivers in shared learning, and act as laboratories for accelerated translation of research into practice and new knowledge discovery, resulting in improved care and outcomes for children.

Quality measures for the care of children with otitis media with effusion

BACKGROUND

Current national efforts provide an opportunity to integrate performance measures into clinical practice and improve outcomes for children.

OBJECTIVE

The goal of this study was to explore issues in developing and testing measures of care for children with otitis media with effusion (OME).

METHODS

We assessed compliance with diagnostic, evaluation, and treatment measures for OME adapted from preliminary work of the Physician Consortium for Performance Improvement, using chart data in a convenience sample of practices from 2 primary care networks (Cincinnati Pediatric Research Group and the American Academy of Pediatrics Quality Improvement Innovation Network). Children aged 2 months to 12 years with at least 1 visit with a specified OME code during a 1-year period were included.

RESULTS

Of 23 practices, 4 could not locate eligible visits. Nineteen practices submitted 378 abstractions (range: 3-37 per practice) with 15 identifying <30 eligible visits. Performance on diagnosis (33%) and hearing evaluation (29%) measures was low but high on measures of appropriate medication use (97% decongestant/antihistamine, 87% antibiotics, and 95% corticosteroids). Thirty-five percent of records documented antibiotic use concurrent with OME; only 16% of the 94 cases that cited reason for prescribing were appropriate. Using methods that consider appropriate clinical action, a more accurate rate for appropriate use of antibiotics was 68%.

CONCLUSIONS

Coding, case finding, and evaluating appropriateness of treatment are some of the issues that will need to be considered to assess the care of children with OME. This study emphasizes the importance of testing proposed quality of care measures in "real-world" settings.

Finding Success in Medication Management

This article outlines the incidence and risk of medication errors in older home health care patients and reasons why improving medication management has become a national priority. The article also describes an initiative that was developed to improve geriatric medication management. The Visiting Nurse Associations of America (VNAA) Curricula for Homecare Advances in Management and Practice (CHAMP) program offers a multimodal, geriatric care, quality improvement educational approach that includes an online course, coaching calls, in-person workshops, and a faculty-moderated peer-to-peer support listserv. The target audience is home care frontline nurse and therapy managers. Course topics include mastering medication assessment and reconciliation, monitoring for complications, and improving patient adherence. In addition, the course includes strategies to help embed the capacity for continuous practice improvement within agencies.

Impact of a quality improvement program on care and outcomes for children with asthma

OBJECTIVE

To test a quality improvement intervention, a learning collaborative based on the Institute for Healthcare Improvement's Breakthrough Series methodology, specifically intended to improve care and outcomes for patients with childhood asthma.

DESIGN

Randomized trial in primary care practices.

SETTING

Practices in greater Boston, Mass, and greater Detroit, Mich.

PARTICIPANTS

Forty-three practices, with 13 878 pediatric patients with asthma, randomized to intervention and control groups. Intervention Participation in a learning collaborative project based on the Breakthrough Series methodology of continuous quality improvement.

MAIN OUTCOME MEASURES

Change from baseline in the proportion of children with persistent asthma who received appropriate medication therapy for asthma, and in the proportion of children whose parent received a written management plan for their child's asthma, as determined by telephone interviews with parents of 631 children.

RESULTS

After adjusting for state, practice size, child age, sex, and within-practice clustering, no overall effect of the intervention was found.

CONCLUSIONS

This methodologically rigorous assessment of a widely used quality improvement technique did not demonstrate a significant effect on processes or outcomes of care for children with asthma. Potential deficiencies in program implementation, project duration, sample selection, and data sources preclude making the general inference that this type of improvement program is ineffective. Additional rigorous studies should be undertaken under more optimal settings to assess the efficacy of this method for improving care.

Expression profiling using human tissues in combination with RNA amplification and microarray analysis: assessment of Langerhans cell histiocytosis

Advances in molecular genetics have led to sequencing of the human genome, and expression data is becoming available for many diverse tissues throughout the body, allowing for exciting hypothesis testing of critical concepts such as development, differentiation, homeostasis, and ultimately, disease pathogenesis. At present, an optimal methodology to assess gene expression is to evaluate single cells, either identified physiologically in living preparations, or by immunocytochemical or histochemical procedures in fixed cells in vitro or in vivo. Unfortunately, the quantity of RNA harvested from a single cell is not sufficient for standard RNA extraction methods. Therefore, exponential polymerase-chain reaction (PCR) based analyses, and linear RNA amplification including amplified antisense (aRNA) RNA amplification and a newly developed terminal continuation (TC) RNA amplification methodology have been used in combination with microdissection procedures such as laser capture microdissection (LCM) to enable the use of microarray platforms within individual populations of cells obtained from a variety of human tissue sources such as biopsy-derived samples {including Langerhans cell histiocytosis (LCH)} as well as postmortem brain samples for high throughput expression profiling and related downstream genetic analyses.

Barriers to first-week follow-up of newborns: findings from parent and clinician focus groups

BACKGROUND

Monitoring newborns within the first week is critical to assess the adequacy of feeding and weight gain and to identify instances of hyperbilirubinemia. As systems of maternal and newborn care have become increasingly fragmented, infants are at increased risk of poor outcomes because of poor follow-up. Structured focus groups were conducted in June--July 2001 to provide information about the barriers to timely newborn follow-up and strategies to address them.

METHODS

One focus group for physicians and one for nurses were held at the Henry Ford Health System, Detroit, and two focus groups of parents were recruited by Blue Cross Blue Shield of Texas, Dallas.

RESULTS

Barriers were identified in communication and information, systems and processes of care, and parental knowledge and education. Concerns raised by clinicians and parents were consistent and complementary. Some organizations have begun implementing some of the suggested strategies to achieve timely follow-up.

DISCUSSION

Implementing the AAP guideline and improving safe care in the first week of newborn life will require attention to linkages and transitions between these various microsystems.

Charting the course for home health care quality: action steps for achieving sustainable improvement: conference proceedings

On June 30 and July 1, 2003, the first national meeting Charting the Course for Home Health Care Quality: Action Steps for Achieving Sustainable Improvement convened in New York City. The Center for Home Care Policy & Research of the Visiting Nurse Service of New York (VNSNY) hosted the meeting with support from the Robert Wood Johnson Foundation. Fifty-seven attendees from throughout the United States participated. The participants included senior leaders and managers and nurses working directly in home care today. The meeting's objectives were to: 1. foster dialogue among key constituents influencing patient safety and home care, 2. promote information-sharing across sectors and identify areas where more information is needed, and, 3. develop an agenda and strategy for moving forward. This article reports the meeting's proceedings.

Physician assistants as providers of surgically induced abortion services

OBJECTIVES

We compared complication rates after surgical abortions performed by physician assistants with rates after abortions performed by physicians.

METHODS

A 2-year prospective cohort study of women undergoing surgically induced abortion was conducted. Ninety-one percent of eligible women (1363) were enrolled.

RESULTS

Total complication rates were 22.0 per 1000 procedures (95% confidence interval [CI] = 11.9, 39.2) performed by physician assistants and 23.3 per 1000 procedures (95% CI = 14.5, 36.8) performed by physicians (P =.88). The most common complication that occurred during physician assistant-performed procedures was incomplete abortion; during physician-performed procedures the most common complication was infection not requiring hospitalization. A history of pelvic inflammatory disease was associated with an increased risk of total complications (odds ratio = 2.1; 95% CI = 1.1, 4.1).

CONCLUSIONS

Surgical abortion services provided by experienced physician assistants were comparable in safety and efficacy to those provided by physicians.

Strengthening condition-specific evidence-based home healthcare practice

The home health industry has lagged in adopting evidence-based care but is now well positioned to adopt such practices. However, few clinical practice guidelines have been developed for the home healthcare setting. This paper reviews the existing evidence base for prevalent home healthcare diagnoses and conditions and the progress made in applying those practices in home healthcare. Existing guidelines for congestive heart failure, diabetes, chronic obstructive pulmonary disease, falls, osteoarthritis, depression, and medication management could be modified for applicability to home healthcare. The evidence for a number of home healthcare practices is robust enough to argue for widespread dissemination and implementation.

Gene expression changes in mouse brain after exposure to low-dose ionizing radiation

PURPOSE

To characterize the cellular functions associated with the altered transcript profiles of mouse brain exposed to low-dose in vivo gamma-irradiation.

MATERIALS AND METHODS

Cerebral RNA was isolated at 30 min and 4 h after whole-body irradiation at 0.1 or 2 Gy, hybridized to random oligonucleotide arrays, and evaluated for time and dose-response patterns by multifactorial analyses.

RESULTS

Brain irradiation modulated the expression patterns of 1574 genes, of which 855 showed more than 1.5-fold variation. about 30% of genes showed dose-dependent variations, including genes exclusively affected by 0.1 Gy. About 60% of genes showed time-dependent variation with more genes affected at 30 min than at 4 h. Early changes involved signal transduction, ion regulation and synaptic signalling. Later changes involved metabolic functions including myelin and protein synthesis. Low-dose radiation also modulated the expression of genes involved in stress response, cell-cycle control and DNA synthesis/repair.

CONCLUSIONS

Doses of 0.1 Gy induced changes in gene expression that were qualitatively different from those at 2 Gy. The findings suggest that low-dose irradiation of the brain induces the expression of genes involved in protective and reparative functions, while down-modulating genes involved in neural signalling activity.

Uncertainties in estimates of the risks of late effects from space radiation

Methods used to project risks in low-Earth orbit are of questionable merit for exploration missions because of the limited radiobiology data and knowledge of galactic cosmic ray (GCR) heavy ions, which causes estimates of the risk of late effects to be highly uncertain. Risk projections involve a product of many biological and physical factors, each of which has a differential range of uncertainty due to lack of data and knowledge. Using the linear-additivity model for radiation risks, we use Monte-Carlo sampling from subjective uncertainty distributions in each factor to obtain an estimate of the overall uncertainty in risk projections. The resulting methodology is applied to several human space exploration mission scenarios including a deep space outpost and Mars missions of duration of 360, 660, and 1000 days. The major results are the quantification of the uncertainties in current risk estimates, the identification of factors that dominate risk projection uncertainties, and the development of a method to quantify candidate approaches to reduce uncertainties or mitigate risks. The large uncertainties in GCR risk projections lead to probability distributions of risk that mask any potential risk reduction using the "optimization" of shielding materials or configurations. In contrast, the design of shielding optimization approaches for solar particle events and trapped protons can be made at this time and promising technologies can be shown to have merit using our approach. The methods used also make it possible to express risk management objectives in terms of quantitative metrics, e.g., the number of days in space without exceeding a given risk level within well-defined confidence limits.

Novel potential ALL low-risk markers revealed by gene expression profiling with new high-throughput SSH-CCS-PCR

The current systems of risk grouping in pediatric acute lymphoblastic leukemia (ALL) fail to predict therapeutic success in 10-35% of patients. To identify better predictive markers of clinical behavior in ALL, we have developed an integrated approach for gene expression profiling that couples suppression subtractive hybridization, concatenated cDNA sequencing, and reverse transcriptase real-time quantitative PCR. Using this approach, a total of 600 differentially expressed genes were identified between t(4;11) ALL and pre-B ALL with no determinant chromosomal translocation. The expression of 67 genes was analyzed in different cytogenetic ALL subgroups and B lymphocytes isolated from healthy donors. Three genes, BACH1, TP53BPL, and H2B/S, were consistently expressed as a significant cluster associated with the low-risk ALL subgroups. A total of 42 genes were differentially expressed in ALL vs normal B lymphocytes, with no specific association with any particular ALL subgroups. The remaining 22 genes were part of a specific expression profile associated with the hyperdiploid, t(12;21), or t(4;11) subgroups. Using an unsupervised hierarchical cluster analysis, the discriminating power of these specific expression profiles allowed the clustering of patients according to their subgroups. These genes could help to understand the difference in treatment response and become therapeutical targets to improve ALL clinical outcomes.

Rethinking quality in the context of persons with disability

OBJECTIVE

To review the current health services literature related to quality of care for persons with disabilities and to highlight the need for a unique framework for conceptualizing quality and patient safety issues for this population.

DESIGN

Drawing on quality measurement theory, we formulate a multi-dimensional model of quality of care for persons with disability. This model is then used to identify and summarize findings from existing health services research that relate to the quality, of care for persons with disability.

STUDY SELECTION

We searched MEDLINE and other databases for primary research and review articles containing the phrases 'quality of care', 'patient safety', 'access', 'patient experience', and 'coordination of care' in conjunction with the words 'disability' or 'impairment'.

RESULTS

A review of health services research suggests several potential issues in the areas of clinical quality, access, client experience, and coordination. Physical barriers, transportation, communication difficulties, and client and provider attitudes present barriers to receiving appropriate client-centered care. Communication difficulties between provider and client may increase risk for accidental injury and decrease the quality of the client experience. Frequent contact with the health care system and the complexity of an individual's situation also increase the risk of accidental injury. Coordination, the 'lubricant' that facilitates links for all areas of quality for a person with disability, presents the most significant opportunity for improvement, because multiple medical and social providers are typically involved in the care of individuals with disabling conditions.

CONCLUSION

Health care providers need to embrace a multi-disciplinary approach to quality to meet the needs of persons with disabilities. Funders and purchasers need to provide flexibility in funding to enable a comprehensive primary care approach, while health service researchers need to adopt a broad view of quality to capture issues of importance for persons with disabilities.

Screening of gene expression profiles in gastric epithelial cells induced by Helicobacter pylori using microarray analysis

BACKGROUND

H. pylori infection is a major risk factor in gastric cancer development. The availability of cDNA microarrays creates the unprecedented opportunity to examine simultaneously dynamic changes of multiple pathways affected by H. pylori infection.

AIM

In this study we examined broad patterns of gene expression induced by H. pylori in the gastric cancer cell line 1739-CRL AGS cells in culture using the U95A microarray.

METHODS

H. pylori were cocultured with AGS cells for 4, 12, 24 and 48 h. Total RNA was extracted and after labelling was used for detection of genes represented in the human U95A microarray set. Data analyses were performed using GeneChip and CLUSFAVOR software.

RESULTS

Nearly 6000 genes present in the array were expressed by AGS cells. We report approximately 200 genes that showed the most marked changes. Our studies confirm the up-regulation of c-jun, jun-B, c-fos and cyclin D1 by H. pylori. We report for the first time the induction of the serine threonine kinase pim-1 and ATF3 by H. pylori infection of AGS cells.

CONCLUSIONS

In this microarray analysis of gene expression induced by H. pylori in gastric epithelial cells, we identified a large number of unsuspected genes affected by H. pylori. Further, we show that unsupervised hierarchical cluster analysis can provide useful insight into the possible contribution of genes in specific pathways, based on their profile of expression.

Extrapolation of the dna fragment-size distribution after high-dose irradiation to predict effects at low doses

The patterns of DSBs induced in the genome are different for sparsely and densely ionizing radiations: In the former case, the patterns are well described by a random-breakage model; in the latter, a more sophisticated tool is needed. We used a Monte Carlo algorithm with a random-walk geometry of chromatin, and a track structure defined by the radial distribution of energy deposition from an incident ion, to fit the PFGE data for fragment-size distribution after high-dose irradiation. These fits determined the unknown parameters of the model, enabling the extrapolation of data for high-dose irradiation to the low doses that are relevant for NASA space radiation research. The randomly-located-clusters formalism was used to speed the simulations. It was shown that only one adjustable parameter, Q, the track efficiency parameter, was necessary to predict DNA fragment sizes for wide ranges of doses. This parameter was determined for a variety of radiations and LETs and was used to predict the DSB patterns at the HPRT locus of the human X chromosome after low-dose irradiation. It was found that high-LET radiation would be more likely than low-LET radiation to induce additional DSBs within the HPRT gene if this gene already contained one DSB.

Space radiation cancer risks and uncertainties for Mars missions

Projecting cancer risks from exposure to space radiation is highly uncertain because of the absence of data for humans and because of the limited radiobiology data available for estimating late effects from the high-energy and charge (HZE) ions present in the galactic cosmic rays (GCR). Cancer risk projections involve many biological and physical factors, each of which has a differential range of uncertainty due to the lack of data and knowledge. We discuss an uncertainty assessment within the linear-additivity model using the approach of Monte Carlo sampling from subjective error distributions that represent the lack of knowledge in each factor to quantify the overall uncertainty in risk projections. Calculations are performed using the space radiation environment and transport codes for several Mars mission scenarios. This approach leads to estimates of the uncertainties in cancer risk projections of 400-600% for a Mars mission. The uncertainties in the quality factors are dominant. Using safety standards developed for low-Earth orbit, long-term space missions (>90 days) outside the Earth's magnetic field are currently unacceptable if the confidence levels in risk projections are considered. Because GCR exposures involve multiple particle or delta-ray tracks per cellular array, our results suggest that the shape of the dose response at low dose rates may be an additional uncertainty for estimating space radiation risks.

Short-term exposure to estrogen and progesterone induces partial protection against N-nitroso-N-methylurea-induced mammary tumorigenesis in Wistar--Furth rats

The lifetime protective effect of a full term pregnancy for breast cancer is a reproducible and consistent finding in human beings and in rodent models. The duration of pregnancy necessary to confer protection has yielded contradictory results. As the administration of estrogen and progesterone mimics the full-term pregnancy effect on conferring protection, we examined whether short-term exposure to estrogen and progesterone confers protection against N-nitroso-N-methylurea-induced mammary carcinogenesis in Wistar--Furth rats. The results reported herein show that treatment of rats with estrogen or progesterone alone for 21 days does not confer protection, but a 10-day exposure to the same concentrations of estrogen and progesterone induced a partial protective effect. The significance of these results are discussed in terms of the contradictory results in the literature and the role of morphological differentiation in conferring the protective effect.

The silent consumer: women's reports and ratings of abortion services

BACKGROUND

Abortion is one of the most common surgical procedures performed on women in the United States, and its safety has been demonstrated. Little research has focused, however, on women's reports and ratings of the service.

OBJECTIVES

This study explored the association of demographic factors, medical outcomes, and client ratings of service dimensions with global satisfaction.

RESEARCH DESIGN

For this cross-sectional study, permission to access clinic medical records was obtained. Surveys were distributed after the procedure, with instructions to return by mail.

SUBJECTS

Study subjects were 797 women who underwent an outpatient surgical abortion at 1 of 2 New England health centers in 1996 and 1997.

MEASURES

Demographic data, pregnancy history, and information on the procedure were collected from medical records. Survey items measured reports of access, medical outcomes, and satisfaction ratings with service domains.

RESULTS

Women with positive ratings of staff sensitivity and of the counseling process and information received and those who had the procedure at a younger gestational age were less likely to report that care could be better. Although very few women reported a medical complication, this was associated with agreement that care could have been better, as was reporting agreement that the wait between the preexamination visit and the procedure was too long.

CONCLUSIONS

Satisfaction with abortion services is high. Education and counseling play very important roles. Survey items could routinely be used to monitor services.

Mammography behavior after receiving a negative BRCA1 mutation test result in the Ashkenazim: a community-based study

PURPOSE

To define the impact of a negative BRCA1 test result on subsequent breast cancer screening behavior in women.

METHODS

Longitudinal study of a community-based sample of Ashkenazi Jews offered testing for the 185delAG BRCA1 mutation in 1996. Of 309 participants, 118 women were mutation negative, of average risk (based on family history of cancer), unaffected with breast cancer, and provided complete data at baseline, and Year 1 and Year 2 follow-up questionnaires.

RESULTS

Women age 50 and older had 91.7% compliance with mammography for the year prior to entry (baseline), 88.3% during Year 1, 91.7% during Year 2 (no significant change; P = 0.775). Women under age 50 demonstrated an increase in mammography (49.2% at baseline, 62.7% Year 1, and 67.1% Year 2; P = 0.035). Both groups demonstrated significant decreases in breast cancer worry and perceived risk. Logistic regression analysis on having a mammogram at Year 2 showed that age, physician recommendation, worry, and perceived risk were all significant.

CONCLUSION

Receipt of negative BRCA1 test results in a cohort of Ashkenazi Jewish women did not have a negative impact on mammography behavior 2 years after genetic testing.

Eradication of non-typhoid salmonellae in acute enteritis after therapy with ofloxacin for 5 or 10 days

Eradication of non-typhoid salmonellae was evaluated in a randomized, double-blinded study of 49 patients with acute enteritis after therapy with ofloxacin 400 mg once daily for 5 or 10 days. Early eradication of salmonellae was found in 57% of patients in the 5 day therapy group and in 74% of patients in the 10 day therapy group. This difference was larger among severely ill patients. Together with our previous study of ofloxacin therapy for 3 days or placebo, this shows that early eradication of non-typhoid salmonellae increases with duration of ofloxacin therapy without an increase in persistence of salmonellae in stools or development of resistant strains.

Identification of in-hospital complications from claims data. Is it valid?

OBJECTIVES

This study examined the validity of the Complications Screening Program (CSP) by testing whether (1) ICD-9-CM codes used to identify a complication are coded completely and accurately and (2) the CSP algorithm successfully separates conditions present on admission from those occurring in the hospital.

METHODS

We compared diagnosis and procedure codes contained in the Medicare claim with codes abstracted from an independent re-review of more than 1,200 medical records from Connecticut and California.

RESULTS

Eighty-nine percent of the surgical cases and 84% of the medical cases had their CSP trigger codes corroborated by re-review of the medical record. For 13% of the surgical cases and 58% of the medical cases, the condition represented by the code was judged to be present on admission rather than occurring in-hospital. The positive predictive value of the claim was greater than 80% for the surgical risk pool, suggesting the value of the CSP as a screening tool.

CONCLUSIONS

The CSP has validity as a screen for most surgical complications but only for 1 medical complication. The CSP does not have validity as a "stand-alone" tool to identify more than a few in-hospital surgery-related events. The addition of an indicator to the Medicare claim to capture the timing of secondary diagnoses would improve the validity of the CSP for identifying both surgical and medical in-hospital events.

A genome-wide search for susceptibility genes linked to alcohol dependence

We performed two-point linkage analysis during a genome-wide search for susceptibility genes that predispose to alcohol dependence with the Collaborative Study on the Genetics on Alcoholism (COGA) data made available for the Genetic Analysis Workshop 11 (GAW11). For chromosomes 1 and 4 our findings supported results reported by Reich et al. [1998] based on the same data. We found similarity between our findings in regions on chromosomes 8 and 10 and reported results for schizophrenia linkage studies. Differences between our results with COGA data and those obtained by Reich et al. [1998] are due to our use of a lod score method versus their use of the affected relative pair (sib pair) method.

Assessing linkage of monoamine oxidase B in a genome-wide scan using a univariate variance components approach

We report results when one alcoholism related quantitative trait, monoamine oxidase B (MAOB), is analyzed by the variance components approach for linkage [Amos, 1994; Amos et al., 1996] using the Collaborative Study on the Genetics of Alcoholism data set provided for the Genetic Analysis Workshop 11. We used two different covariate models, one with age at interview, sex, ethnicity, and smoking status and the other with age at interview, sex, and ethnicity. The univariate analysis showed 24 markers on four different chromosomes (1, 4, 9, and 12) to have evidence for linkage with the quantitative trait (single-point and multipoint linkage). However, when outliers for MAOB were removed, the significant evidence for linkage disappeared.

Genome scans for genetic predisposition to alcoholism by use of transmission disequilibrium test analyses

We report the results of the analysis of three measures of alcoholism and six associated symptoms using transmission disequilibrium (TDT) analysis on data from the Collaborative Study on the Genetics of Alcoholism data set. Implementation of identity-by-state (IBS) routines for error checking revealed 10 reported full siblings that were rejected as a full sibling to all of their purported full siblings with p < 0.05. TDT analysis revealed two loci with significant transmission disequilibrium (p < 0.001) on chromosomes 1 and 7. Analysis by parental origin found alleles at three loci displaying significant disequilibrium in the transmission of the paternal alleles for at least three of the nine tested traits. These loci are on chromosomes 6, 9, and 13. Analyses of Caucasian families alone and the use of a single affected individual from each family also yielded significant results for the loci on chromosomes 6, 9, and 13.

Monte Carlo mixture model of lifetime cancer incidence risk from radiation exposure on shuttle and international space station

Estimating uncertainty in lifetime cancer risk for human exposure to space radiation is a unique challenge. Conventional risk assessment with low-linear-energy-transfer (LET)-based risk from Japanese atomic bomb survivor studies may be inappropriate for relativistic protons and nuclei in space due to track structure effects. This paper develops a Monte Carlo mixture model (MCMM) for transferring additive, National Institutes of Health multiplicative, and multiplicative excess cancer incidence risks based on Japanese atomic bomb survivor data to determine excess incidence risk for various US astronaut exposure profiles. The MCMM serves as an anchor point for future risk projection methods involving biophysical models of DNA damage from space radiation. Lifetime incidence risks of radiation-induced cancer for the MCMM based on low-LET Japanese data for nonleukemia (all cancers except leukemia) were 2.77 (90% confidence limit, 0.75-11.34) for males exposed to 1 Sv at age 45 and 2.20 (90% confidence limit, 0.59-10.12) for males exposed at age 55. For females, mixture model risks for nonleukemia exposed separately to 1 Sv at ages of 45 and 55 were 2.98 (90% confidence limit, 0.90-11.70) and 2.44 (90% confidence limit, 0.70-10.30), respectively. Risks for high-LET 200 MeV protons (LET=0.45 keV/micrometer), 1 MeV alpha-particles (LET=100 keV/micrometer), and 600 MeV iron particles (LET=180 keV/micrometer) were scored on a per particle basis by determining the particle fluence required for an average of one particle per cell nucleus of area 100 micrometer(2). Lifetime risk per proton was 2.68x10(-2)% (90% confidence limit, 0.79x10(-3)%-0. 514x10(-2)%). For alpha-particles, lifetime risk was 14.2% (90% confidence limit, 2.5%-31.2%). Conversely, lifetime risk per iron particle was 23.7% (90% confidence limit, 4.5%-53.0%). Uncertainty in the DDREF for high-LET particles may be less than that for low-LET radiation because typically there is very little dose-rate dependence. Probability density functions for high-LET radiation quality and dose-rate may be preferable to conventional risk assessment approaches. Nuclear reactions and track structure effects in tissue may not be properly estimated by existing data using in vitro models for estimating RBEs. The method used here is being extended to estimate uncertainty in spacecraft shielding effectiveness in various space radiation environments.

Comparison of various D-dimer tests for the diagnosis of deep venous thrombosis

Analyses of D-dimers in plasma are frequently used as diagnostic tools for deep venous thrombosis (DVT). Enzyme-linked immunosorbent assays (ELISAs) are considered to be the method of choice for quantitative assays, but are time consuming. Therefore, we have assessed plasma levels of D-dimers in patients with clinically suspected DVT using quantitative (Asserachrom D-Di ELISA and TintElize), semiquantitative (Minutex latex, D-Di latex, NycoCard D-Dimer) and qualitative (INSTANT.I.A) assays. Phlebography was used as the gold standard to verify or exclude the suspected diagnosis. We conclude that the fast assays, INSTANT.I.A and Minutex, have essentially the same negative predictive value [91% and 89%, respectively, using a cut-off value < 0.5 mg/l fibrinogen equivalent units (FEU)] for excluding DVT as the Asserachrom D-Di ELISA and TintElize tests (92%). The D-Di Latex assay had a negative predictive value of 82% (cut-off < 0.5 mg/l FEU) and turned out to be less useful in our material. The NycoCard D-dimer assay had a negative predictive value of 100% when using the cut-off value < 0.5 mg/l FEU, but this was substantially lower when the cut-off was changed to < or = 0.5 mg/l. Thus, we conclude that several fast tests offer a simpler and more rapid way of determining plasma levels of D-dimer than conventional ELISA methods without loss of clinical usefulness in excluding DVT.

Eliciting expert opinion using the Delphi technique: identifying performance indicators for cardiovascular disease

Combining opinion from expert panels is becoming a more common method of selecting criteria to define quality of health care. The Rand Corporation pioneered this method is the 1950s and 1960s in the context of forecasting technological events. Since then, numerous organizations have adopted the methodology to develop local and national policy. In the context of quality of care, opinion is typically elicited from a sample of experts regarding the appropriateness or importance of a medical treatment for several well-defined clinical cohorts. The information from the experts is then combined in order to create a standard or performance measure of care. This article describes how to use the panel process to elicit information from diverse panels of experts. Methods are demonstrated using the data from five distinct panels convened as part of the Harvard Q-SPAN-CD study, a nationally-funded project whose goal is to identify a set of cardiovascular-related performance measures.

Design and analysis of epidemiological studies of excess cancer among children exposed to Chernobyl radionuclides

Within the last decade, a substantial amount of attention has been devoted to etiological research on the association between exposure to fallout radionuclides from the Chernobyl accident and radiation-induced late effects (cancer) among children. A majority of the studies completed to date have been of the descriptive type, which only correlate average population exposure with average rate of cancer incidence as a function of calendar period. Since individual dosimetry is not performed in descriptive studies, it is unclear whether exposure precedes the development of cancer and a final decision cannot be made regarding the association between radiation exposure and cancer. This paper reviews the background epidemiology and outlines an analytical study design that is needed to clarify the unclear association between Chernobyl fallout exposure and childhood cancer. We discuss the essential elements of an analytical case-control design such as genetic predisposition, vital statistics, sample size and power determinations, ascertainment of cases and controls, and phenomenological dose modeling to establish individual doses. Examples such as cytogenetic biodosimetry, medical radiation dosimetry, and cytogenetic characterization of leukemia to minimize exposure and diagnostic misclassification are provided. We recommend the analytical methods described in this paper for studying the role of Chernobyl radionuclides and development of childhood cancer.

Effectiveness of treatment with a brace in girls who have adolescent idiopathic scoliosis. A prospective, controlled study based on data from the Brace Study of the Scoliosis Research Society

In a prospective study by the Scoliosis Research Society, 286 girls who had adolescent idiopathic scoliosis, a thoracic or thoracolumbar curve of 25 to 35 degrees, and a mean age of twelve years and seven months (range, ten to fifteen years) were followed to determine the effect of treatment with observation only (129 patients), an underarm plastic brace (111 patients), and nighttime surface electrical stimulation (forty-six patients). Thirty-nine patients were lost to follow-up, leaving 247 (86 per cent) who were followed until maturity or who were dropped from the study because of failure of the assigned treatment. The end point of failure of treatment was defined as an increase in the curve of at least 6 degrees, from the time of the first roentgenogram, on two consecutive roentgenograms. As determined with use of this end point, treatment with a brace failed in seventeen of the 111 patients; observation only, in fifty-eight of the 129 patients; and electrical stimulation, in twenty-two of the forty-six patients. According to survivorship analysis, treatment with a brace was associated with a success rate of 74 per cent (95 per cent confidence interval, 52 to 84) at four years; observation only, with a success rate of 34 per cent (95 per cent confidence interval, 16 to 49); and electrical stimulation, with a success rate of 33 per cent (95 per cent confidence interval, 12 to 60).(ABSTRACT TRUNCATED AT 250 WORDS)

Prediction of progression of the curve in girls who have adolescent idiopathic scoliosis of moderate severity. Logistic regression analysis based on data from The Brace Study of the Scoliosis Research Society

In a study conducted by the Scoliosis Research Society, 159 girls with a mean age of thirteen years (range, ten to fifteen years) who had adolescent idiopathic scoliosis were followed prospectively until skeletal maturity or until the curve had increased 6 degrees or more. All patients had had an initial curve of 25 to 35 degrees and an apical level between the eighth thoracic and first lumbar vertebrae, inclusive. Of the 159 patients, 120 were observed without treatment and thirty-nine were managed with lateral electrical surface stimulation. The curve progressed at least 6 degrees in eighty patients. There was no apparent difference in the outcome between the patients who were managed with observation only and those who were given electrical stimulation. Logistic regression analysis was performed to determine which of eleven factors were predictive of progression of the scoliotic curve. A Risser sign of 0 or 1, an apical level cephalad to the twelfth thoracic vertebra, and an imbalance of ten millimeters or less were found to be independently prognostic of progression of more than 6 degrees. A prognostic model that included these three factors and chronological age allowed correct classification of the curve as either progressive or non-progressive in 81 per cent of these patients who had a thoracic or thoracolumbar adolescent idiopathic scoliosis. The positive predictive value was 82 per cent, the negative predictive value was 80 per cent, and the sensitivity and specificity were each 81 per cent.

D-dimer and thrombin/antithrombin III complex--diagnostic tools in deep venous thrombosis?

In order to evaluate the usefulness of determining D-dimer and thrombin-antithrombin III complex (TAT) in the diagnosis of deep venous thrombosis (DVT), three D-dimer assays were tried: one ELISA and one latex test from Diagnostica Stago and one new latex method from Biopool. TAT was assessed using an ELISA (Behringwerke). We studied 96 consecutive outpatients with suspected DVT, of whom 36 had phlebographically confirmed DVT. Statistical calculations showed high sensitivity and a negative predictive value for the D-dimer ELISA (97% for both), confirming the results obtained by others. The new latex method (Biopool) showed similar figures (96% for both). The latex method from Diagnostica Stago and TAT showed lower sensitivity and negative predictive values. No differences in the D-dimer results were found with or without antifibrinolytics in the tubes for blood sampling. Our data suggest that negative results when using the new simple and cheap latex method (Biopool) may reduce the number of phlebographic examinations.