Outcome of singleton pregnancy after assisted reproductive treatment

Singleton pregnancies achieved by means of assisted reproductive treatment (ART) are associated with increased obstetric and neonatal risks in comparison with spontaneously conceived singleton pregnancies. The impact of infertility- and treatment-related factors on these risks is not properly understood. In addition, the psychological effects of infertility and its treatment on the experience of pregnancy have scarcely been studied. Thus, the aim of the present study was to evaluate the importance of infertility- and treatment-related factors on prediction of pregnancy outcome, obstetric and neonatal risks, fear-of-childbirth and pregnancy-related anxiety. The subjects consisted of infertile women who achieved a singleton pregnancy by means of in vitro fertilisation (IVF) or intracytoplasmic sperm injection (ICSI). The control groups comprised spontaneously conceiving women with singleton gestations. Early pregnancy outcome was assessed by means of assay of serum human chorionic gonadoptrophin (hCG) in single samples. Other outcome data were collected from patient records, national Health Registers and via prospective questionnaire surveys. Viable pregnancies were associated with significantly higher serum hCG levels 12 days after embryo transfer than non-viable pregnancies. Among singleton pregnancies, aetiological subgroup, treatment type or the number of transferred embryos did not impair the predictive value of single hCG assessment. According to the register-based data, age-, parity- and socioeconomic status- adjusted risks of gestational hypertension, preterm contractions and placenta praevia were more frequent in the ART pregnancies than in the control pregnancies. Significantly higher rates of induction of delivery and Caesarean section occurred in the ART group than in the control group. The risks of preterm birth and low birth weight (LBW) were increased after ART pregnancy. Duration or aetiology of infertility, treatment type (fresh or frozen IVF or ICSI) or rank of treatment did not contribute to the risks of preterm birth or LBW. In addition, the risks of preterm birth and LBW remained elevated in spite of of the number of transferred embryos. Although mean duration of pregnancy was shorter and mean birth weight lower in the ART pregnancies than in the control pregnancies, these differences were hardly of clinical significance. Fear-of-childbirth and pregnancy-related anxiety were equally common to women conceiving by means of ART, or spontaneously. Partnership of five to ten years appeared to be protective as regards severe fear-of-childbirth, whereas long preceding infertility (≥ seven years) had the opposite effect. In conclusion, an early hCG assessment maintained its good predictive value regardless of infertility- or patient-related factors. Further, we did not recognise any infertility- or patient-related factors that would expose infertile women to increased obstetric or neonatal risks. However, a long period of infertility was associated with severe fear-of-childbirth.

The incidence and outcome of severe sepsis in Finland : The Finnsepsis Study

Severe sepsis is associated with common occurrence, high costs of care and significant mortality. The incidence of severe sepsis has been reported to vary between 0.5/1000 and 3/1000 in different studies. The worldwide Severe Sepsis Campaign, guidelines and treatment protocols aim at decreasing severe sepsis associated high morbidity and mortality. Various mediators of inflammation, such as high mobility group box-1 protein (HMGB1) and vascular endothelial growth factor (VEGF), have been tested for severity of illness and outcome in severe sepsis. Long-term survival with quality of life (QOL) assessment is important outcome after severe sepsis. The objective of this study was to evaluate the incidence, severity of organ dysfunction and outcome of severe sepsis in intensive care treated patients in Finland (study I)). HMGB1 and VEGF were studied in predicting severity of illness, development and type of organ dysfunction and hospital mortality (studies II and III). The long-term outcome and quality of life were assessed and quality-adjusted life years and cost per one QALY were estimated (study IV). A total of 470 patients with severe sepsis were included in the Finnsepsis Study. Patients were treated in 24 Finnish intensive care units in a 4-month period from 1 November 2004 to 28 February 2005. The incidence of severe sepsis was 0.38 /1,000 in the adult population (95% confidence interval 0.34-0.41). Septic shock (77%), severe oxygenation impairment (71.4%) and acute renal failure (23.2%) were the most common organ failures. The ICU, hospital, one-year and two-year mortalities were 15.5%, 28.3%, 40.9% and 44.9% respectively. HMGB1 and VEGF were elevated in patients with severe sepsis. VEGF concentrations were lower in non-survivors than in survivors, but HMGB1 levels did not differ between patients. Neither HMGB1 nor VEGF were predictive of hospital mortality. The QOL was measured median 17 months after severe sepsis and QOL was lower than in reference population. The mean QALY was 15.2 years for a surviving patient and the cost for one QALY was 2,139 . The study showed that the incidence of severe sepsis is lower in Finland than in other countries. The short-term outcome is comparable with that in other countries, but long-term outcome is poor. HMGB1 and VEGF are not useful in predicting mortality in severe sepsis. The mean QALY for a surviving patient is 15.2 and as the cost for one QALY is reasonably low, the intensive care is cost-effective in patients with severe sepsis.

Assessment of crop insect damage using unmanned aerial systems: A machine learning approach

Agricultural pests are responsible for millions of dollars in crop losses and management costs every year. In order to implement optimal site-specific treatments and reduce control costs, new methods to accurately monitor and assess pest damage need to be investigated. In this paper we explore the combination of unmanned aerial vehicles (UAV), remote sensing and machine learning techniques as a promising technology to address this challenge. The deployment of UAVs as a sensor platform is a rapidly growing field of study for biosecurity and precision agriculture applications. In this experiment, a data collection campaign is performed over a sorghum crop severely damaged by white grubs (Coleoptera: Scarabaeidae). The larvae of these scarab beetles feed on the roots of plants, which in turn impairs root exploration of the soil profile. In the field, crop health status could be classified according to three levels: bare soil where plants were decimated, transition zones of reduced plant density and healthy canopy areas. In this study, we describe the UAV platform deployed to collect high-resolution RGB imagery as well as the image processing pipeline implemented to create an orthoimage. An unsupervised machine learning approach is formulated in order to create a meaningful partition of the image into each of the crop levels. The aim of the approach is to simplify the image analysis step by minimizing user input requirements and avoiding the manual data labeling necessary in supervised learning approaches. The implemented algorithm is based on the K-means clustering algorithm. In order to control high-frequency components present in the feature space, a neighbourhood-oriented parameter is introduced by applying Gaussian convolution kernels prior to K-means. The outcome of this approach is a soft K-means algorithm similar to the EM algorithm for Gaussian mixture models. The results show the algorithm delivers decision boundaries that consistently classify the field into three clusters, one for each crop health level. The methodology presented in this paper represents a venue for further research towards automated crop damage assessments and biosecurity surveillance.

Methodologies and mechanisms for management of cumulative coastal environmental impacts. Part I: Synthesis, with annotated bibliography; Part II: Development and application of a cumulative impacts assessment protocol

What Are ~umulat iveE ffects? Coastal managers now recognize that many of the most serious resource degradation problems have built up gradually as the combined outcome of numerous actions and choices which alone may have had relatively minor impacts. For example, alteration of essential habitat through wetland loss, degradation of water quality from nonpoint source pollution, and changes in salinity of estuarine waters from water diversion projects can be attributed to numerous small actions and choices. These incremental losses have broad spatial and temporal dimensions, resulting in the gradual alteration of structure and functioning of biophysical systems. In the environmental management field, the term "cumulative effects" is generally used to describe this phenomenon of changes in the environment that result from numerous, small-scale alterations.

A whole-life value based assessment and optimisation model for high-performance glazed facades'

Façade design is a complex and multi-disciplinary process. One major barrier to devising optimal façade solutions is the lack of a systematic way of evaluating the true social, economic and environmental impacts of a design. Another barrier is the lack of automated design aids to assist decision-making. In this paper, we present our on-going study in developing a whole-life value based multi-objective optimisation model for high-performance façades. The principal outcome of this paper is a multi-objective optimisation model for early-stage façade design. The optimisation technique coupled with other 3rd party software and/or specially developed scripts provide façade designers with an integrated design tool of wide applicability.

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be observed late in the first year of life. Many of these studies involved extensive frame-by-frame video observation and analysis of a child's natural behavior. Although non-intrusive, these methods are extremely time-intensive and require a high level of observer training; thus, they are impractical for clinical and large population research purposes. Diagnostic measures for ASD are available for infants but are only accurate when used by specialists experienced in early diagnosis. This work is a first milestone in a long-term multidisciplinary project that aims at helping clinicians and general practitioners accomplish this early detection/measurement task automatically. We focus on providing computer vision tools to measure and identify ASD behavioral markers based on components of the Autism Observation Scale for Infants (AOSI). In particular, we develop algorithms to measure three critical AOSI activities that assess visual attention. We augment these AOSI activities with an additional test that analyzes asymmetrical patterns in unsupported gait. The first set of algorithms involves assessing head motion by tracking facial features, while the gait analysis relies on joint foreground segmentation and 2D body pose estimation in video. We show results that provide insightful knowledge to augment the clinician's behavioral observations obtained from real in-clinic assessments.

Clinical utility of a Web-enabled risk-assessment and clinical decision support program.

PURPOSE: Risk-stratified guidelines can improve quality of care and cost-effectiveness, but their uptake in primary care has been limited. MeTree, a Web-based, patient-facing risk-assessment and clinical decision support tool, is designed to facilitate uptake of risk-stratified guidelines. METHODS: A hybrid implementation-effectiveness trial of three clinics (two intervention, one control). PARTICIPANTS: consentable nonadopted adults with upcoming appointments. PRIMARY OUTCOME: agreement between patient risk level and risk management for those meeting evidence-based criteria for increased-risk risk-management strategies (increased risk) and those who do not (average risk) before MeTree and after. MEASURES: chart abstraction was used to identify risk management related to colon, breast, and ovarian cancer, hereditary cancer, and thrombosis. RESULTS: Participants = 488, female = 284 (58.2%), white = 411 (85.7%), mean age = 58.7 (SD = 12.3). Agreement between risk management and risk level for all conditions for each participant, except for colon cancer, which was limited to those <50 years of age, was (i) 1.1% (N = 2/174) for the increased-risk group before MeTree and 16.1% (N = 28/174) after and (ii) 99.2% (N = 2,125/2,142) for the average-risk group before MeTree and 99.5% (N = 2,131/2,142) after. Of those receiving increased-risk risk-management strategies at baseline, 10.5% (N = 2/19) met criteria for increased risk. After MeTree, 80.7% (N = 46/57) met criteria. CONCLUSION: MeTree integration into primary care can improve uptake of risk-stratified guidelines and potentially reduce "overuse" and "underuse" of increased-risk services.Genet Med 18 10, 1020-1028.

Predictors of therapy resistant asthma: outcome of a systematic evaluation protocol

Background: It has been suggested that asthmatic subjects with persisting symptoms despite adequate maintenance therapy should be systematically evaluated to identify factors contributing to poor control. The aims of this study were to examine the prevalence of these factors in a cohort of sequentially referred poorly controlled asthmatics, and to determine if any factor or combination of factors predicted true therapy resistant asthma (TRA).

Methods: Patients were evaluated using a systematic evaluation protocol including induced sputum analysis, psychiatric assessment, ear, nose and throat examination, pulmonary function testing, high resolution CT scan of the thorax, and 24 hour dual probe ambulatory oesophageal pH monitoring; any identified provoking factor was treated. Asthma was managed according to BTS guidelines.

Results: Of 73 subjects who completed the assessment, 39 responded to intervention and 34 had TRA. Subjects with TRA had a greater period of instability, a higher dose of inhaled steroids at referral, more rescue steroid use, and a lower best percentage forced expiratory volume in 1 second (FEV1%). Oesophageal reflux, upper airway disease, and psychiatric morbidity were common (57%, 95%, 49%, respectively) but were not more prevalent in either group. Using multivariate logistic regression analysis, inhaled steroid dose >2000 µg BDP, previous assessment by a respiratory specialist, and initial FEV1% of <70% at referral predicted a final diagnosis of TRA.

Conclusions: In poorly controlled asthmatics there is a high prevalence of co-morbidity, identified by detailed systematic assessment, but no difference in prevalence between those who respond to intervention and those with TRA. Targeted treatment of identified co-morbidities has minimal impact on asthma related quality of life in those with therapy resistant disease.

The role of previous experience and attitudes toward statistics in statistics assessment outcomes among undergraduate psychology students

Previous research has demonstrated that students’ cognitions about statistics are related to their performance in statistics assessments. The purpose of this research is to examine the nature of the relationships between undergraduate psychology students’ previous experiences of maths, statistics and computing; their attitudes toward statistics; and assessment on a statistics course. Of the variables examined, the strongest predictor of assessment outcome was students’ attitude about their intellectual knowledge and skills in relation to statistics at the end of the statistics curriculum. This attitude was related to students’ perceptions of their maths ability at the beginning of the statistics curriculum. Interventions could be designed to change such attitudes with the aim of improving students’ learning of statistics.

Impact of persistent substance misuse on 1-year outcome in first-episode psychosis

Background: Substance misuse is a common comorbid problem in people presenting with first-episode psychosis and is associated with a poor short-term outcome.

Aims: The aim of this study is to examine differences in baseline characteristics and 1-year outcome between individuals with first-episode psychosis who have never misused substances, those who stop misusing substances after initial presentation and those who persistently misuse substances over the 1-year assessment period.

Method: Patients were recruited to the Northern Ireland First Episode Psychosis Study (n=272). Clinical assessments were performed at baseline and at 1 year (n=194) and data were collected from the case notes.

Results: Individuals with persistent substance misuse had more severe depression, more positive symptoms, poorer functional outcome and greater rates of relapse at 1 year than those who stopped and those who had never misused substances. There were no differences in outcome between people who had never misused substances and those who stopped misusing after presentation.

Conclusions: These results support assertive intervention targeted at comorbid substance misuse in individuals with first-episode psychosis.

Neuro developmental status at 1 year predicts neuropsychiatric outcome at 14-15 years of age in very preterm infants

Background: Neurodevelopmental and behavioural problems have been repeatedly reported in very preterm. survivors, often showing themselves later in childhood as poor school performance. Early identification of problems would mean that appropriate remedial therapy can be implemented. We have previously shown that neurodevelopmental status at 1 year was predictive of outcome at 8 years in a cohort of preterm. infants. The aim of this paper was to see if neurodevelopmental outcome in adolescence could be predicted by assessment by 1 year in the same cohort of pretem infants. Study design: Prospective cohort study. Subjects: 150 adolescents, born before 33 weeks gestation. Outcome measures: Neurological examination, developmental quotient, vision and hearing by 1 year. At 14-15 years, neurological examination, school performance questionnaire, Schonnell test of reading age, a premorbid adjustment score, Rutter behavioural score and for those born from 1981, cognitive tests (WISC-R). Results: A highly significant relationship existed between neurological status by 1 year and the need for extra educational provision, overall neurodevelopmental status, cognitive function in those that had their IQs measured and premorbid adjustment score of prepsychotic symptoms in adolescence. However, status at 1 year was not predictive of adolescent reading age or behavioural score. Conclusions: Neurodevelopmental assessment at 1 year ispredictive of school performance and outcome in the adolescent period. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.

Corpus callosum size and very preterm birth: relationship to neuropsychological outcome

Thinning of the corpus callosum (CC) is often observed in individuals who were born very preterm. Damage to the CC during neurodevelopment may be associated with poor neuropsychological performance. This study aimed to explore any evidence of CC pathology in adolescents aged 14-15 years who were born very preterm, and to investigate the relationship between CC areas and verbal skills. Seventy-two individuals born before 33 weeks of gestation and 51 age- and sex-matched full-term controls received structural MRI and neuropsychological assessment. Total CC area in very preterm adolescents was 7.5% smaller than in controls, after adjusting for total white matter volume (P=0.015). The absolute size of callosal subregions differed between preterm and fullterm adolescents: preterm individuals had a 14.7% decrease in posterior (P<0.0001) and an 11.6% decrease in mid-posterior CC quarters (P=0.029). Preterm individuals who had experienced periventricular haemorrhage and ventricular dilatation in the neonatal period showed the greatest decrease in CC area. In very preterm boys only, verbal IQ and verbal fluency scores were positively associated with total mid-sagittal CC size and midposterior surface area. These results suggest that very preterm birth adversely affects the development of the CC, particularly its posterior quarter, and this impairs verbal skills in boys.

Pre-validation methods for developing a patient reported outcome instrument

BACKGROUND: Measures that reflect patients' assessment of their health are of increasing importance as outcome measures in randomised controlled trials. The methodological approach used in the pre-validation development of new instruments (item generation, item reduction and question formatting) should be robust and transparent. The totality of the content of existing PRO instruments for a specific condition provides a valuable resource (pool of items) that can be utilised to develop new instruments. Such 'top down' approaches are common, but the explicit pre-validation methods are often poorly reported. This paper presents a systematic and generalisable 5-step pre-validation PRO instrument methodology.

METHODS: The method is illustrated using the example of the Aberdeen Glaucoma Questionnaire (AGQ). The five steps are: 1) Generation of a pool of items; 2) Item de-duplication (three phases); 3) Item reduction (two phases); 4) Assessment of the remaining items' content coverage against a pre-existing theoretical framework appropriate to the objectives of the instrument and the target population (e.g. ICF); and 5) qualitative exploration of the target populations' views of the new instrument and the items it contains.

RESULTS: The AGQ 'item pool' contained 725 items. Three de-duplication phases resulted in reduction of 91, 225 and 48 items respectively. The item reduction phases discarded 70 items and 208 items respectively. The draft AGQ contained 83 items with good content coverage. The qualitative exploration ('think aloud' study) resulted in removal of a further 15 items and refinement to the wording of others. The resultant draft AGQ contained 68 items.

CONCLUSIONS: This study presents a novel methodology for developing a PRO instrument, based on three sources: literature reporting what is important to patient; theoretically coherent framework; and patients' experience of completing the instrument. By systematically accounting for all items dropped after the item generation phase, our method ensures that the AGQ is developed in a transparent, replicable manner and is fit for validation. We recommend this method to enhance the likelihood that new PRO instruments will be appropriate to the research context in which they are used, acceptable to research participants and likely to generate valid data.

Preliminary clinical assessment of polyvinyl alcohol-tetrahydroxyborate hydrogels as potential topical formulations for local anesthesia of lacerations

The aim of this study was to assess a novel semisolid material as a potential topical drug delivery system for acute laceration. The objectives were to correlate physical characterization data using rheologic studies and to compare with clinical assessment of performance in an emergency department (ED).

Outcome Measures in Glaucoma:A Systematic Review of Cochrane Reviews and Protocols

In clinical trials, the selection of appropriate outcomes is crucial for the assessment of whether one intervention is better than another. Selection of inappropriate outcomes can compromise the utility of a trial. However, the process of selecting the most suitable outcomes to include can be complex. Ideally, glaucoma trials aim to evaluate important outcomes for clinicians and patients. A high variability in the selection of outcomes suggests that there is no consensus on how best to evaluate the effect of glaucoma interventions. Further, it makes evidence synthesis difficult. The purpose of this review is to determine the extent of clinical outcome measures used in published glaucoma Cochrane Reviews and Protocols.