Identifying mechanisms of treatment effects and recovery in rehabilitation of schizophrenia: longitudinal analytic methods

The longitudinal dimension of schizophrenia and related severe mental illness is a key component of theoretical models of recovery. However, empirical longitudinal investigations have been underrepresented in the psychopathology of schizophrenia. Similarly, traditional approaches to longitudinal analysis of psychopathological data have had serious limitations. The utilization of modern longitudinal methods is necessary to capture the complexity of biopsychosocial models of treatment and recovery in schizophrenia. The present paper summarizes empirical data from traditional longitudinal research investigating recovery in symptoms, neurocognition, and social functioning. Studies conducted under treatment as usual conditions are compared to psychosocial intervention studies and potential treatment mechanisms of psychosocial interventions are discussed. Investigations of rehabilitation for schizophrenia using the longitudinal analytic strategies of growth curve and time series analysis are demonstrated. The respective advantages and disadvantages of these modern methods are highlighted. Their potential use for future research of treatment effects and recovery in schizophrenia is also discussed.

Effects of carbonation on the mineral composition of cement kiln dust

Due to their relatively high calcium oxide content, industrial mineral oxide wastes are potential candidates for mineral sequestration of carbon dioxide (CO2). Cement kiln dust (CKD), a byproduct of cement manufacturing contains 20-60% CaO making it a possible candidate for CO2 sequestration. In this study, three types of CKD are characterized, before and after carbonation, using environmental scanning electron microscopy and energy dispersive x-ray microanalysis to determine the mineralogical and morphological changes occurring due to carbonation. The reactants, products, and precipitation mechanisms were investigated to enhance understanding of the governing processes and allow better utilization of CKD for CO2 sequestration. The results of multiple independent analyses confirmed the formation of CaCO3 during carbonation. Examinations of the reaction pathways found that CaO and calcium hydroxide (Ca(OH)2) were the major reactants. Three types of CaCO3 precipitation mechanisms were observed: (1) diffusion of CO2 into Ca(OH)2 particles causing precipitation in the pores of the particle and the growth of a CaCO3 ring from the outside inward, (2) precipitation onto existing particles, and (3) precipitation from aqueous solution. The growth of a CaCO3 ring on the outside of a particle may slow further diffusion of CO2 into a particle slowing iv the overall sequestration rate. Additionally, changes caused by carbonation in the solubility of trace metals were studied by mixing pre- and post-carbonated CKD with water and analyzing the solution using inductively coupled plasma mass spectrometry. Decreases in the leaching of chromium, lead, and copper were observed, and is an incentive for use of CKD for CO2 sequestration. Equilibrium modeling using PHREEQC confirmed that CaO and Ca(OH)2 would carbonate readily and form CaCO3.

Age and gender differences in health-related quality of life of children and adolescents in Europe: a multilevel analysis

OBJECTIVES: To determine age and gender differences in health-related quality of life (HRQOL) in children and adolescents across 12 European countries using a newly developed HRQOL measure (KIDSCREEN). METHODS: The KIDSCREEN-52 questionnaire was filled in by 21,590 children and adolescents aged 8-18 from 12 countries. We used multilevel regression analyses to model the hierarchical structure of the data. In addition, effect sizes were computed to test for gender differences within each age group. RESULTS: Children generally showed better HRQOL than adolescents (P < 0.001). While boys and girls had similar HRQOL at young age, girls' HRQOL declined more than boys' (P < 0.001) with increasing age, depending on the HRQOL scale. There was significant variation between countries both at the youngest age and for age trajectories. CONCLUSIONS: For the first time, gender and age differences in children's and adolescents' HRQOL across Europe were assessed using a comprehensive and standardised instrument. Gender and age differences exist for most HRQOL scales. Differences in HRQOL across Europe point to the importance of national contexts for youth's well-being.

Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine

BACKGROUND: In clinical practice a diagnosis is based on a combination of clinical history, physical examination and additional diagnostic tests. At present, studies on diagnostic research often report the accuracy of tests without taking into account the information already known from history and examination. Due to this lack of information, together with variations in design and quality of studies, conventional meta-analyses based on these studies will not show the accuracy of the tests in real practice. By using individual patient data (IPD) to perform meta-analyses, the accuracy of tests can be assessed in relation to other patient characteristics and allows the development or evaluation of diagnostic algorithms for individual patients. In this study we will examine these potential benefits in four clinical diagnostic problems in the field of gynaecology, obstetrics and reproductive medicine. METHODS/DESIGN: Based on earlier systematic reviews for each of the four clinical problems, studies are considered for inclusion. The first authors of the included studies will be invited to participate and share their original data. After assessment of validity and completeness the acquired datasets are merged. Based on these data, a series of analyses will be performed, including a systematic comparison of the results of the IPD meta-analysis with those of a conventional meta-analysis, development of multivariable models for clinical history alone and for the combination of history, physical examination and relevant diagnostic tests and development of clinical prediction rules for the individual patients. These will be made accessible for clinicians. DISCUSSION: The use of IPD meta-analysis will allow evaluating accuracy of diagnostic tests in relation to other relevant information. Ultimately, this could increase the efficiency of the diagnostic work-up, e.g. by reducing the need for invasive tests and/or improving the accuracy of the diagnostic workup. This study will assess whether these benefits of IPD meta-analysis over conventional meta-analysis can be exploited and will provide a framework for future IPD meta-analyses in diagnostic and prognostic research.

The effects of excluding patients from the analysis in randomised controlled trials: meta-epidemiological study

OBJECTIVE: To examine whether excluding patients from the analysis of randomised trials are associated with biased estimates of treatment effects and higher heterogeneity between trials. DESIGN: Meta-epidemiological study based on a collection of meta-analyses of randomised trials. DATA SOURCES: 14 meta-analyses including 167 trials that compared therapeutic interventions with placebo or non-intervention control in patients with osteoarthritis of the hip or knee and used patient reported pain as an outcome. METHODS: Effect sizes were calculated from differences in means of pain intensity between groups at the end of follow-up, divided by the pooled standard deviation. Trials were combined by using random effects meta-analysis. Estimates of treatment effects were compared between trials with and trials without exclusions from the analysis, and the impact of restricting meta-analyses to trials without exclusions was assessed. RESULTS: 39 trials (23%) had included all patients in the analysis. In 128 trials (77%) some patients were excluded from the analysis. Effect sizes from trials with exclusions tended to be more beneficial than those from trials without exclusions (difference -0.13, 95% confidence interval -0.29 to 0.04). However, estimates of bias between individual meta-analyses varied considerably (tau(2)=0.07). Tests of interaction between exclusions from the analysis and estimates of treatment effects were positive in five meta-analyses. Stratified analyses indicated that differences in effect sizes between trials with and trials without exclusions were more pronounced in meta-analyses with high between trial heterogeneity, in meta-analyses with large estimated treatment benefits, and in meta-analyses of complementary medicine. Restriction of meta-analyses to trials without exclusions resulted in smaller estimated treatment benefits, larger P values, and considerable decreases in between trial heterogeneity. CONCLUSION: Excluding patients from the analysis in randomised trials often results in biased estimates of treatment effects, but the extent and direction of bias is unpredictable. Results from intention to treat analyses should always be described in reports of randomised trials. In systematic reviews, the influence of exclusions from the analysis on estimated treatment effects should routinely be assessed.

The effects of impingement and dysplasia on stress distributions in the hip joint during sitting and walking: a finite element analysis

Soft tissue damage has been observed in hip joints with pathological geometries. Our primary goal was to study the relationship between morphological variations of the bony components of the hip and resultant stresses within the soft tissues of the joint during routine daily activities. The secondary goal was to find the range of morphological parameters in which stresses are minimized. Computational models of normal and pathological joints were developed based on variations of morphological parameters of the femoral head (Alpha angle) and acetabulum (CE angle). The Alpha angle was varied between 40 degrees (normal joint) and 80 degrees (cam joint). The CE angle was varied between 0 degrees (dysplastic joint) and 40 degrees (pincer joint). Dynamic loads and motions for walking and standing to sitting were applied to all joint configurations. Contact pressures and stresses were calculated and crosscompared to evaluate the influence of morphology. The stresses in the soft tissues depended strongly on the head and acetabular geometry. For the dysplastic joint, walking produced high acetabular rim stresses. Conversely, for impinging joints, standing-to-sitting activities that involved extensive motion were critical, inducing excessive distortion and shearing of the tissue-bone interface. Zones with high von Mises stresses corresponded with clinically observed damage zones in the acetabular cartilage and labrum. Hip joint morphological parameters that minimized were 20 degrees

Potential clinical utility of polymerase chain reaction in microbiological testing for sepsis

OBJECTIVES: To evaluate the potential improvement of antimicrobial treatment by utilizing a new multiplex polymerase chain reaction (PCR) assay that identifies sepsis-relevant microorganisms in blood. DESIGN: Prospective, observational international multicentered trial. SETTING: University hospitals in Germany (n = 2), Spain (n = 1), and the United States (n = 1), and one Italian tertiary general hospital. PATIENTS: 436 sepsis patients with 467 episodes of antimicrobial treatment. METHODS: Whole blood for PCR and blood culture (BC) analysis was sampled independently for each episode. The potential impact of reporting microorganisms by PCR on adequacy and timeliness of antimicrobial therapy was analyzed. The number of gainable days on early adequate antimicrobial treatment attributable to PCR findings was assessed. MEASUREMENTS AND MAIN RESULTS: Sepsis criteria, days on antimicrobial therapy, antimicrobial substances administered, and microorganisms identified by PCR and BC susceptibility tests. RESULTS: BC diagnosed 117 clinically relevant microorganisms; PCR identified 154. Ninety-nine episodes were BC positive (BC+); 131 episodes were PCR positive (PCR+). Overall, 127.8 days of clinically inadequate empirical antibiotic treatment in the 99 BC+ episodes were observed. Utilization of PCR-aided diagnostics calculates to a potential reduction of 106.5 clinically inadequate treatment days. The ratio of gainable early adequate treatment days to number of PCR tests done is 22.8 days/100 tests overall (confidence interval 15-31) and 36.4 days/100 tests in the intensive care and surgical ward populations (confidence interval 22-51). CONCLUSIONS: Rapid PCR identification of microorganisms may contribute to a reduction of early inadequate antibiotic treatment in sepsis.

Statistical analysis of multichannel scalp field data

High density spatial and temporal sampling of EEG data enhances the quality of results of electrophysiological experiments. Because EEG sources typically produce widespread electric fields (see Chapter 3) and operate at frequencies well below the sampling rate, increasing the number of electrodes and time samples will not necessarily increase the number of observed processes, but mainly increase the accuracy of the representation of these processes. This is namely the case when inverse solutions are computed. As a consequence, increasing the sampling in space and time increases the redundancy of the data (in space, because electrodes are correlated due to volume conduction, and time, because neighboring time points are correlated), while the degrees of freedom of the data change only little. This has to be taken into account when statistical inferences are to be made from the data. However, in many ERP studies, the intrinsic correlation structure of the data has been disregarded. Often, some electrodes or groups of electrodes are a priori selected as the analysis entity and considered as repeated (within subject) measures that are analyzed using standard univariate statistics. The increased spatial resolution obtained with more electrodes is thus poorly represented by the resulting statistics. In addition, the assumptions made (e.g. in terms of what constitutes a repeated measure) are not supported by what we know about the properties of EEG data. From the point of view of physics (see Chapter 3), the natural “atomic” analysis entity of EEG and ERP data is the scalp electric field

Ontologies and Methods for Interoperability of Engineering Analysis Models (EAMS) in an E-Design Environment

ABSTRACT ONTOLOGIES AND METHODS FOR INTEROPERABILITY OF ENGINEERING ANALYSIS MODELS (EAMS) IN AN E-DESIGN ENVIRONMENT SEPTEMBER 2007 NEELIMA KANURI, B.S., BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCES PILANI INDIA M.S., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Ian Grosse Interoperability is the ability of two or more systems to exchange and reuse information efficiently. This thesis presents new techniques for interoperating engineering tools using ontologies as the basis for representing, visualizing, reasoning about, and securely exchanging abstract engineering knowledge between software systems. The specific engineering domain that is the primary focus of this report is the modeling knowledge associated with the development of engineering analysis models (EAMs). This abstract modeling knowledge has been used to support integration of analysis and optimization tools in iSIGHT FD , a commercial engineering environment. ANSYS , a commercial FEA tool, has been wrapped as an analysis service available inside of iSIGHT-FD. Engineering analysis modeling (EAM) ontology has been developed and instantiated to form a knowledge base for representing analysis modeling knowledge. The instances of the knowledge base are the analysis models of real world applications. To illustrate how abstract modeling knowledge can be exploited for useful purposes, a cantilever I-Beam design optimization problem has been used as a test bed proof-of-concept application. Two distinct finite element models of the I-beam are available to analyze a given beam design- a beam-element finite element model with potentially lower accuracy but significantly reduced computational costs and a high fidelity, high cost, shell-element finite element model. The goal is to obtain an optimized I-beam design at minimum computational expense. An intelligent KB tool was developed and implemented in FiPER . This tool reasons about the modeling knowledge to intelligently shift between the beam and the shell element models during an optimization process to select the best analysis model for a given optimization design state. In addition to improved interoperability and design optimization, methods are developed and presented that demonstrate the ability to operate on ontological knowledge bases to perform important engineering tasks. One such method is the automatic technical report generation method which converts the modeling knowledge associated with an analysis model to a flat technical report. The second method is a secure knowledge sharing method which allocates permissions to portions of knowledge to control knowledge access and sharing. Both the methods acting together enable recipient specific fine grain controlled knowledge viewing and sharing in an engineering workflow integration environment, such as iSIGHT-FD. These methods together play a very efficient role in reducing the large scale inefficiencies existing in current product design and development cycles due to poor knowledge sharing and reuse between people and software engineering tools. This work is a significant advance in both understanding and application of integration of knowledge in a distributed engineering design framework.

Proceedings of the Third Biochemical Engineering Symposium (April 28, 1973)

This report presents the proceedings of the Biochemical Engineering Symposium held at Kansas State University, April 28, 1973. Since a number of the contributions will be published in detail elsewhere, only brief summaries of each contribution are included here. Requests for additional information on projects conducted at The University of Nebraska should be directed to Dr. Peter J. Reilly, and those at Kansas State University to the editors. ContentsKenneth J. Jacobson, Andrew H.C. Chan, and Raymond C. Eliason, "Properties and Utilization of Small Particulates in Cattle Manure" Cady R. Engler and James S. Yohn, "Protein from Manure" Robert J. Williams, "Kinetics of Sucrose Inversion Using Invertase Immobilized on Hollow Fibers of Cellulose Acetate" David F. Aldis and Thomas A. Carlisle, "Study of a Triiodide-Resin Complex Disinfection System" John C. Heydweiller, "Modeling and Analysis of Symbiotic Growth" Kenneth J. Jacobson, "Synchronized Growth of the Blue Green Alga Microcystis aeruginosa" Clarence C. Y. Ron arui Lincoln L. S. Yang, "Computer Modeling of the Reductive Pentose Phosphate Cycle" Ming-ching T. Kuo, "Application of a Parallel Biochemical Oxidation Kinetic Model to the Design of an Activated Sludge System Including a Primary Clarifier" Prakash N. Mishra, "Optimal Synthesis of Water Renovation Systems"

Proceedings of the Twelfth Annual Biochemical Engineering Symposium

This work presents the proceedings of the twelfth symposium which was held at Kansas State University on April 24, 1982. Since a number of the contributions will be published in detail elsewhere, only brief reports are included here. Some of the reports describe current progress with respect to ongoing projects. Requests for further information should be directed to Dr. Peter Reilly at Iowa State University, Dr. V. G. Murphy at Colorado State University, Dr. Rakesh Bajpai at University of Missouri, Dr. Ed Clausen at University of Arkansas, Dr. L. T. Fan and Dr. L. E. Erickson at Kansas State University. ContentsA Kinetic Analysis of Oleaginous Yeast Fermentation by Candida curvata on Whey Permeate, B.D. Brown and K.H. Hsu, Iowa State University Kinetics of Biofouling in Simulated Water Distribution Systems Using CSTR, T.M. Prakash, University of Missouri Kinetics of Gas Production by C. acetobutylicum, Michael Doremus, Colorado State University Large Scale Production of Methane from Agricultural Residues, O.P. Doyle, G.C. Magruder, E.C. Clausen, and J.L. Gaddy, University of Arkansas The Optimal Process Design for Enzymatic Hydrolysis of Wheat Straw, M.M Gharpuray and L.T. Fan, Kansas State University Extractive Butanol Fermentation, Michael Sierks, Colorado State University Yields Associated with Ethyl Alcohol Production, M.D. Oner, Kansas State University Estimation of Growth Yield and Maintenance Parameters for Microbial Growth on Corn Dust, B.O. Solomon, Kansas State University Milling of Ensiled Corn, Andrzej Neryng, Iowa State University Protein Extraction from Alfalfa, Ravidranath Joshi, Colorado State University Analysis of Disaccharides by Capillary Gas Chromatography, Z.L. Nikolov, Iowa State University Characterization of High Viscosity Fermentations in Tower Fermentors, S.A. Patel and C.H. Lee, Kansas State University Utilization of Sugars in Sorghum Molasses by Clostridium acetobutylicum B. Hong, K.C. Shin, and L.T. Fan, Kansas State University

Effect of psychological interventions on depressive symptoms in long-term rehabilitation after an acquired brain injury: a systematic review and meta-analysis

OBJECTIVE To summarize empirical studies on the effectiveness of psychological interventions in long-term rehabilitation after an acquired brain injury (ABI) in reducing depressive symptoms. DATA SOURCES A systematic literature search was conducted on MEDLINE, PsycINFO, Embase, and CINAHL to identify articles published between January 1990 and October 2011. Search terms included the 3 concepts (1) "brain injur*" or "stroke," (2) "psychotherap*" or "therapy" or "intervention" or "rehabilitation," and (3) "depress*." STUDY SELECTION Studies evaluating psychological interventions in patients after ABI were included. Time since injury was on average more than 1 year. Trials reported data on validated depression questionnaires before and after the psychological intervention. DATA EXTRACTION Two independent reviewers extracted information from the sample, the intervention, and the outcome of the included studies and calculated effect sizes (ESs) from depression questionnaires. Thirteen studies were included in a pre-post analysis. Seven studies were eligible for a meta-analysis of ESs in active interventions and control conditions. DATA SYNTHESIS Pre-post ESs were significant in 4 of 13 studies. The overall ES of .69 (95% confidence interval [CI], .29-1.09) suggests a medium effectiveness of psychological interventions on depressive symptoms compared with control conditions. Moderator analysis of the number of sessions and adequate randomization procedure did not show significant ES differences between strata. Studies with adequate randomization did not, however, suggest the effectiveness of psychological interventions on depressive symptoms after ABI. CONCLUSIONS Psychological interventions are a promising treatment option for depressive symptoms in long-term rehabilitation after ABI. Since only a few adequately randomized controlled trials (RCTs) exist, more RCTs are required to confirm this initial finding.

Mental health-care utilization in survivors of childhood cancer and siblings: the Swiss childhood cancer survivor study

PURPOSE We aimed to (1) describe the utilization of mental health-care in survivors and siblings, the association with severity of distress, and visits to other professionals in distressed survivors not utilizing mental health-care; and (2) identify factors associated with utilization of mental health-care in distressed survivors. METHODS Within the Swiss Childhood Cancer Survivor Study, we sent postal questionnaires to all participants aged <16 years at diagnosis (1976-2003), who survived ≥5 years after diagnosis and were aged ≥16 years at study. Survivors and siblings could indicate if they utilized mental health-care in the past year. Psychological distress was assessed with the Brief Symptom Inventory-18 (BSI-18). Participants with scores T ≥ 57 on two of three scales or the Global Severity Index were considered distressed. RESULTS We included 1,602 survivors and 703 siblings. Overall, 160 (10 %) and 53 (8 %), utilized mental health-care and 203 (14 %) and 127 (14 %) were considered distressed. Among these, 69 (34 %) survivors and 20 (24 %) siblings had utilized mental health-care. Participants with higher distress were more likely to utilize mental health-care. Distressed survivors not utilizing mental health-care were more likely to see a medical specialist than nondistressed. In the multivariable regression, factors associated with utilizing mental health-care were higher psychological distress and reporting late effects. CONCLUSIONS Our results underline the importance of developing interventional programs and implementing psychological screening in follow-up of survivors. It is also important to systematically address siblings' needs. In follow-up, patients at risk should be informed about existing possibilities or advised to visit mental health professionals.

Efficacy of psychological interventions for sexual dysfunction: a systematic review and meta-analysis

Sexual dysfunction is highly prevalent in the general population and associated with psychological distress and impaired sexual satisfaction. Psychological interventions are promising treatment options, as sexual dysfunction is frequently caused by and deteriorates because of psychological factors. However, research into the efficacy of psychological interventions is rather scarce and an up-to-date review of outcome studies is currently lacking. Therefore, we conducted a systematic review and meta-analysis of all available studies from 1980 to 2009 to examine the efficacy of psychological interventions for patients with sexual dysfunction. A total of 20 randomized controlled studies comparing a psychological intervention with a wait-list were included in the meta-analysis. The overall post-treatment effect size for symptom severity was d = 0.58 (95% CI: 0.40 to 0.77) and for sexual satisfaction d = 0.47 (95% CI: 0.27 to 0.70). Psychological interventions were shown to especially improve symptom severity for women with Hypoactive Sexual Desire Disorder and orgasmic disorder. Our systematic review of 14 studies comparing at least two active interventions head-to-head revealed that very few comparative studies are available with large variability in effect sizes across studies (d between -0.69 and 2.29 for symptom severity and -0.56 and 14.02 for sexual satisfaction). In conclusion, psychological interventions are effective treatment options for sexual dysfunction. However, evidence varies considerably across single disorders. Good evidence exists to date for female hypoactive sexual desire disorder and female orgasmic disorder. Further research is needed on psychological interventions for other sexual dysfunctions, their long-term and comparative effects.