Maternal heart rate variability patterns associated with maternal hypotension and non-reassuring fetal heart rate patterns following initiation of combined spinal-epidural labor analgesia: a prospective observational trial.

BACKGROUND: We evaluated whether baseline maternal heart rate variability (HRV), including the Analgesia Nociception Index (ANI), is associated with maternal hypotension and fetal heart rate (FHR) abnormalities following combined spinal-epidural (CSE) labor analgesia. METHODS: Laboring women were enrolled in this prospective observational study. The primary endpoint was maternal hypotension. The secondary endpoint was FHR abnormalities within 30 min following CSE analgesia initiated with intrathecal plain bupivacaine 1.0 mg and fentanyl 20 µg. The maternal ANI, electrocardiogram, blood pressure, heart rate, oxygen saturation, and FHR tracings were recorded 15 min before and 30 min after CSE. Parturients were grouped based on presence of hypotension and FHR abnormalities. Patient demographics and HRV metrics were compared. Receiver operating characteristics (ROC) curves were constructed for the prediction of hypotension and FHR abnormalities. RESULTS: No significant intergroup differences were detected in patient characteristics. Several baseline HRV metrics and ANI differed significantly between the normotensive (n = 50) and hypotensive (n = 31) groups and between parturients showing FHR abnormalities (n = 19) and those showing reassuring FHR traces (n = 62). The area under the ROC curve (AUC) for predicting hypotension of the baseline low-frequency (LF)/high-frequency (HF) ratio was 0.677 (95% CI 0.55 to 0.80), and that of the ANI was 0.858 (95% CI 0.78 to 0.94). For predicting non-reassuring FHR patterns, the AUC of the LF/HF ratio was 0.77 (95% CI 0.65 to 0.89), and that of the ANI was 0.833 (95% CI 0.72 to 0.94). CONCLUSIONS: The ANI can predict the propensity for maternal hypotension and non-reassuring FHR patterns following CSE.

An ecological and epidemiological single-season survey of Anaplasma and Ehrlichia positive ticks in Victoria Falls National Park, Zimbabwe.

There is an urgent need for continued research on the ecology of tick-borne diseases in Africa. Our objective was to provide a preliminary description of the ecology and epidemiology of tick species, tick-borne pathogens, and animal hosts in Zimbabwe, focusing efforts at Victoria Falls National Park, for a single season. We tested the hypothesis that tick surveillance and pathogen screening data can be used to model associations among ticks, hosts, and pathogens. We collected ticks from domesticated animals and wildlife in Zimbabwe and screened the ticks for the presence of Anaplasma and Ehrlichia bacteria. Nearly 30% of the screened ticks were PCR-positive; 89% of tick species were PCR-positive, and 88% of animal species carried at least one PCR-positive tick. We sequenced a subset of amplicons that were similar to three Anaplasma species and three Ehrlichia species. The odds of a tick being PCR-positive increased when many ticks were collected from the host or the tick was collected from a cow (domesticated animal). Tick species shared host species more often than expected. We demonstrate that ticks in northwestern Zimbabwe present a One Health problem for nearby wildlife and humans.

Development, validity and reliability testing of the East Midlands Evaluation Tool (EMET) for measuring impacts on trainees' confidence and competence following end of life care training.

OBJECTIVES: To develop, test and validate a versatile questionnaire, the East Midlands Evaluation Tool (EMET), for measuring effects of end of life care training events on trainees' self-reported confidence and competence. METHODS: A paper-based questionnaire was designed on the basis of the English Department of Health's core competences for end of life care, with sections for completion pretraining, immediately post-training and also for longer term follow-up. Preliminary versions were field tested at 55 training events delivered by 13 organisations to 1793 trainees working in diverse health and social care backgrounds. Iterative rounds of development aimed to maximise relevance to events and trainees. Internal consistency was assessed by calculating interitem correlations on questionnaire responses during field testing. Content validity was assessed via qualitative content analysis of (1) responses to questionnaires completed by field tester trainers and (2) field notes from a workshop with a separate cohort of experienced trainers. Test-retest reliability was assessed via repeat administration to a cohort of student nurses. RESULTS: The EMET comprises 27 items with Likert-scaled responses supplemented with questions seeking free-text responses. It measures changes in self-assessed confidence and competence on 5 subscales: communication skills; assessment and care planning; symptom management; advance care planning; overarching values and knowledge. Test-retest reliability was found to be good, as was internal consistency: the questions successfully assess different aspects of the same underlying concept. CONCLUSIONS: The EMET provides a time-efficient, reliable and flexible means of evaluating effects of training on self-reported confidence and competence in the key elements of end of life care.

Whole Reproductive System Non-Negative Matrix Factorization Mass Spectrometry Imaging of an Early-Stage Ovarian Cancer Mouse Model.

High-grade serous carcinoma (HGSC) is the most common and deadliest form of ovarian cancer. Yet it is largely asymptomatic in its initial stages. Studying the origin and early progression of this disease is thus critical in identifying markers for early detection and screening purposes. Tissue-based mass spectrometry imaging (MSI) can be employed as an unbiased way of examining localized metabolic changes between healthy and cancerous tissue directly, at the onset of disease. In this study, we describe MSI results from Dicer-Pten double-knockout (DKO) mice, a mouse model faithfully reproducing the clinical nature of human HGSC. By using non-negative matrix factorization (NMF) for the unsupervised analysis of desorption electrospray ionization (DESI) datasets, tissue regions are segregated based on spectral components in an unbiased manner, with alterations related to HGSC highlighted. Results obtained by combining NMF with DESI-MSI revealed several metabolic species elevated in the tumor tissue and/or surrounding blood-filled cyst including ceramides, sphingomyelins, bilirubin, cholesterol sulfate, and various lysophospholipids. Multiple metabolites identified within the imaging study were also detected at altered levels within serum in a previous metabolomic study of the same mouse model. As an example workflow, features identified in this study were used to build an oPLS-DA model capable of discriminating between DKO mice with early-stage tumors and controls with up to 88% accuracy.

The Role of Cognitive Factors in Predicting Balance and Fall Risk in a Neuro-Rehabilitation Setting.

INTRODUCTION: There is a consistent body of evidence supporting the role of cognitive functions, particularly executive function, in the elderly and in neurological conditions which become more frequent with ageing. The aim of our study was to assess the role of different domains of cognitive functions to predict balance and fall risk in a sample of adults with various neurological conditions in a rehabilitation setting. METHODS: This was a prospective, cohort study conducted in a single centre in the UK. 114 participants consecutively admitted to a Neuro-Rehabilitation Unit were prospectively assessed for fall accidents. Baseline assessment included a measure of balance (Berg Balance Scale) and a battery of standard cognitive tests measuring executive function, speed of information processing, verbal and visual memory, visual perception and intellectual function. The outcomes of interest were the risk of becoming a faller, balance and fall rate. RESULTS: Two tests of executive function were significantly associated with fall risk, the Stroop Colour Word Test (IRR 1.01, 95% CI 1.00-1.03) and the number of errors on part B of the Trail Making Test (IRR 1.23, 95% CI 1.03-1.49). Composite scores of executive function, speed of information processing and visual memory domains resulted in 2 to 3 times increased likelihood of having better balance (OR 2.74 95% CI 1.08 to 6.94, OR 2.72 95% CI 1.16 to 6.36 and OR 2.44 95% CI 1.11 to 5.35 respectively). CONCLUSIONS: Our results show that specific subcomponents of executive functions are able to predict fall risk, while a more global cognitive dysfunction is associated with poorer balance.

omniSpect: an open MATLAB-based tool for visualization and analysis of matrix-assisted laser desorption/ionization and desorption electrospray ionization mass spectrometry images.

We present omniSpect, an open source web- and MATLAB-based software tool for both desorption electrospray ionization (DESI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI) that performs computationally intensive functions on a remote server. These functions include converting data from a variety of file formats into a common format easily manipulated in MATLAB, transforming time-series mass spectra into mass spectrometry images based on a probe spatial raster path, and multivariate analysis. OmniSpect provides an extensible suite of tools to meet the computational requirements needed for visualizing open and proprietary format MSI data.

A fast least-squares algorithm for population inference.

BACKGROUND: Population inference is an important problem in genetics used to remove population stratification in genome-wide association studies and to detect migration patterns or shared ancestry. An individual's genotype can be modeled as a probabilistic function of ancestral population memberships, Q, and the allele frequencies in those populations, P. The parameters, P and Q, of this binomial likelihood model can be inferred using slow sampling methods such as Markov Chain Monte Carlo methods or faster gradient based approaches such as sequential quadratic programming. This paper proposes a least-squares simplification of the binomial likelihood model motivated by a Euclidean interpretation of the genotype feature space. This results in a faster algorithm that easily incorporates the degree of admixture within the sample of individuals and improves estimates without requiring trial-and-error tuning. RESULTS: We show that the expected value of the least-squares solution across all possible genotype datasets is equal to the true solution when part of the problem has been solved, and that the variance of the solution approaches zero as its size increases. The Least-squares algorithm performs nearly as well as Admixture for these theoretical scenarios. We compare least-squares, Admixture, and FRAPPE for a variety of problem sizes and difficulties. For particularly hard problems with a large number of populations, small number of samples, or greater degree of admixture, least-squares performs better than the other methods. On simulated mixtures of real population allele frequencies from the HapMap project, Admixture estimates sparsely mixed individuals better than Least-squares. The least-squares approach, however, performs within 1.5% of the Admixture error. On individual genotypes from the HapMap project, Admixture and least-squares perform qualitatively similarly and within 1.2% of each other. Significantly, the least-squares approach nearly always converges 1.5- to 6-times faster. CONCLUSIONS: The computational advantage of the least-squares approach along with its good estimation performance warrants further research, especially for very large datasets. As problem sizes increase, the difference in estimation performance between all algorithms decreases. In addition, when prior information is known, the least-squares approach easily incorporates the expected degree of admixture to improve the estimate.

Multivariate hypergeometric similarity measure.

We propose a similarity measure based on the multivariate hypergeometric distribution for the pairwise comparison of images and data vectors. The formulation and performance of the proposed measure are compared with other similarity measures using synthetic data. A method of piecewise approximation is also implemented to facilitate application of the proposed measure to large samples. Example applications of the proposed similarity measure are presented using mass spectrometry imaging data and gene expression microarray data. Results from synthetic and biological data indicate that the proposed measure is capable of providing meaningful discrimination between samples, and that it can be a useful tool for identifying potentially related samples in large-scale biological data sets.

Seaweed allelopathy against coral: surface distribution of a seaweed secondary metabolite by imaging mass spectrometry.

Coral reefs are in global decline, with seaweeds increasing as corals decrease. Although seaweeds inhibit coral growth, recruitment, and survivorship, the mechanism of these interactions is poorly understood. Here, we used field experiments to show that contact with four common seaweeds induces bleaching on natural colonies of Porites rus. Controls in contact with inert, plastic mimics of seaweeds did not bleach, suggesting seaweed effects resulted from allelopathy rather than shading, abrasion, or physical contact. Bioassay-guided fractionation of the hydrophobic extract from the red alga Phacelocarpus neurymenioides revealed a previously characterized antibacterial metabolite, neurymenolide A, as the main allelopathic agent. For allelopathy of lipid-soluble metabolites to be effective, the compounds would need to be deployed on algal surfaces where they could transfer to corals on contact. We used desorption electrospray ionization mass spectrometry (DESI-MS) to visualize and quantify neurymenolide A on the surface of P. neurymenioides, and we found the molecule on all surfaces analyzed, with highest concentrations on basal portions of blades.

Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems.

BACKGROUND: Selecting an appropriate classifier for a particular biological application poses a difficult problem for researchers and practitioners alike. In particular, choosing a classifier depends heavily on the features selected. For high-throughput biomedical datasets, feature selection is often a preprocessing step that gives an unfair advantage to the classifiers built with the same modeling assumptions. In this paper, we seek classifiers that are suitable to a particular problem independent of feature selection. We propose a novel measure, called "win percentage", for assessing the suitability of machine classifiers to a particular problem. We define win percentage as the probability a classifier will perform better than its peers on a finite random sample of feature sets, giving each classifier equal opportunity to find suitable features. RESULTS: First, we illustrate the difficulty in evaluating classifiers after feature selection. We show that several classifiers can each perform statistically significantly better than their peers given the right feature set among the top 0.001% of all feature sets. We illustrate the utility of win percentage using synthetic data, and evaluate six classifiers in analyzing eight microarray datasets representing three diseases: breast cancer, multiple myeloma, and neuroblastoma. After initially using all Gaussian gene-pairs, we show that precise estimates of win percentage (within 1%) can be achieved using a smaller random sample of all feature pairs. We show that for these data no single classifier can be considered the best without knowing the feature set. Instead, win percentage captures the non-zero probability that each classifier will outperform its peers based on an empirical estimate of performance. CONCLUSIONS: Fundamentally, we illustrate that the selection of the most suitable classifier (i.e., one that is more likely to perform better than its peers) not only depends on the dataset and application but also on the thoroughness of feature selection. In particular, win percentage provides a single measurement that could assist users in eliminating or selecting classifiers for their particular application.

Strategies for screening blood donors to source convalescent H1N1v plasma for intervention therapy.

BACKGROUND AND OBJECTIVES: During the 1918, pandemic blood components were successfully used to treat severe influenza pneumonia. A Proof of Principle trial investigating the clinical benefit of convalescent plasma was proposed in the 2009 H1N1v epidemic with the aim of screening donors for high titre antibody in order to stockpile plasma packs to be used for treatment for severe pneumonia. MATERIALS AND METHODS: Serum samples were collected from donors. IgG antibody capture format enzyme-linked immunoassays using recombinant proteins (GACELISAs) were compared with microneutralization (MN) and haemagglutination inhibition (HAI). The influence of age and history of influenza-like illness (ILI) on the detection of high titre antibody was examined. RESULTS: 1598 unselected donor sera collected in October and December 2009 were tested by HAI. The HAI and demographic data defined a possible strategy for selective donor screening. One of the GACELISAs was highly specific for recent infection but showed lower sensitivity than HAI. CONCLUSIONS: During the 2009 pandemic screening 17- to 30-year-old donors by HAI delivered around 10% with high antibody levels. The ELISA using a short recombinant H1N1v HA detected fewer reactives but was more specific for high titre antibody (≥1:256). Screening strategies are proposed based on using HAI on serum or GACELISA on plasma.

Histerectomía extrafascial en cáncer de cuello uterino IB2 posterior a radio-quimioterapia / Extrafascial hysterectomy in IB2 cervical cancer after radiochemotherapy

Objetivo: Evaluar la sobrevida global y libre de enfermedad en pacientes con tratamiento concomitante de radioquimioterapia más histerectomía extrafascial en cáncer de cuello uterino IB2. Método: 31 pacientes con cáncer cérvico-uterino en etapa IB2 fueron tratadas con radioquimioterapia concomitante más histerectomía extrafascial programada en 4 a 6 semanas. Se efectuó radioterapia pelviana externa e implante de braquiterapia útero-vaginal con dosis preoperatoria entre 70-75 Gy a punto A y quimioterapia con cisplatino. Resultados: La edad promedio de las pacientes fue de 41 +/- 8 años. El 81 por ciento de los casos fue carcinoma escamocelular. La histerectomía extrafascial se realizó 4 a 6 semanas post-radiación en el 85 por ciento de los casos. El 79 por ciento y el 13 por ciento de las pacientes recibieron 5 y 4 ciclos de quimioterapia respectivamente. La mediana de seguimiento fue de 38 meses. La sobrevida global y libre de enfermedad estimada a 5 años fue de 86 por ciento y 79 por ciento respectivamente. Hubo diferencia significativa en la sobrevida global en los subgrupos sin o con enfermedad residual macroscópica en la pieza operatoria (p<0,001). Conclusión: Esta serie muestra resultados de sobrevida similares a las reportadas en otros trabajos con el mismo tratamiento. La enfermedad residual en la pieza operatoria podría constituir un factor de valor pronóstico.

Aim: To evaluate overall and disease free survival in cervical cáncer IB2 patients with concomitant chemo-radiotherapy and posterior extrafascial hysterectomy treatment. Methods: Between July 2005 to December 2009, a total of 31 eligible patients with IB2 cervical cancer were treated with chemoradiotherapy and posterior hysterectomy in the Carlos Van Buren Hospital Oncology Unit. Radiotherapy consisted in external pelvic radiation and a utero-vaginal brachitherapy with low rate doses to get preoperatory doses between 70 and 75 Gy to the A point and a concomitant Cisplatin based chemotherapy. After this treatment, the patients received extrafascial hysterectomy 4 to 6 weeks completed chemoradiotherapy. Results: The mean age was 41 +/- 8 years. 81 percent of the patients had an spinocelular carcinoma. The extrafascial hysterectomy was made between 4 to 6 weeks post-radiation in 85 percent of the patients. 79 percent and 13 percent of the patients received 5 and 4 chemotherapy cycles respectively. The median follow up was 38 months. The 5 years overall survival and disease free survival estimates were 86 percent and 79 percent respectively. There was a significant difference between subgroups of patients with and without macroscopic residual disease in the operatory specimen (p<0.001). Conclusion: Our survival is similar to published results with the same treatment. The presence of macroscopic residual disease in the hysterectomy specimen could be a factor of prognostic value.

Videotoracoscopía en cáncer de ovario avanzado con sospecha de compromiso torácico / Video-assisted thoracoscopy in advanced ovarian cancer with a probable thoracic involvement

Objetivo: Evaluar la experiencia con videotoracoscopía en pacientes con sospecha de cáncer de ovario avanzado con probable compromiso del tórax. Método: Se analiza las pacientes con sospecha clínica e imagenológica de cáncer de ovario avanzado que presentan derrames pleurales moderado y severo, así como procesos tumorales torácicos para evaluar la posibilidad de citorreducción óptima o completa. Todos los casos sometidos a este procedimiento entre enero de 2009 a Agosto de 2011, son analizados con énfasis en el diagnóstico y en los hallazgos a la videotoracoscopía, así como sus resultados. Resultados: 11 pacientes con clínica y tomografía axial computarizada de tórax sospechoso de compromiso pleural o pulmonar, son sometidas al procedimiento previo al intento de citorreducción abdominopélvica. La edad promedio fue de 62 años y Ca 125 promedio de 1030 U/ml. En 6 pacientes se encontró enfermedad macroscópica pleural, la biopsia fue positiva para adenocarcinoma en 5. Dos de ellas se consideraron no citorreducible en abdomen y se indicó neoadyuvancia. La tercera se citorredujo en forma óptima. En 2 pacientes se indicó neoadyudancia por tener residuo tumoral torácico mayor a 1 cm, consideradas citorreducibles en abdomen. De las 6 pacientes sin enfermedad torácica, 4 se citorredujeron óptimamente, una falleció previo a la cirugía abdominal y otra resultó un tumor ovárico benigno. Conclusión: La videotoracoscopía es útil para evaluar enfermedad torácica y tomar decisiones en relación a la citorreducción abdominal o neoadyuvancia en cáncer avanzado de ovario.

Objective: To describe the experience with video-assisted thoracic evaluation in patients with suspected advanced ovarian cancer with a probable thoracic involvement. Method: Patients with clinical and imaging suspicion of advanced ovarian cancer who have pleural effusions, and thoracic tumor processes are examined to evaluate the possibility of optimal debulking. All cases that underwent this procedure between January 2009 to August 2011, were studied with emphasis on diagnosis, results and findings at videotho-racoscopy. Results: 11 patients with a suspected thoracic commitment, with clinical and computerized axial tomography scan, undergo the procedure previous to an abdominopelvic cytoreductive surgery attempt. The average age was 62 years and CA 125 of 1030 U/ml average. Macroscopic pleural disease was found in 6 patients, but in 5 of them the biopsy gave positive for adenocarcinoma. Two of them were not considered for a cytoreductive surgery in the abdomen and neoadjuvant therapy was indicated. The third patient of the 5 previously mentioned, underwent an optimal cytoreduction. In 2 patients, neoadjuvant therapy was indicated for having residual tumor in the thorax greater than 1 cm, although they were considered for a cytoreductive surgery in the abdomen. Of the 6 patients without chest involvement, 4 underwent an optimal cytoreductive surgery, and one died before the abdominal surgery and the other had a benign ovarian tumor. Conclusion: Videothoracoscopy is useful for diagnosing thoracic metastasis and making decisions regarding cytoreduction and neoadjuvant therapy in advanced ovarian cancer.

caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts.

BACKGROUND: In previous work, we reported the development of caCORRECT, a novel microarray quality control system built to identify and correct spatial artifacts commonly found on Affymetrix arrays. We have made recent improvements to caCORRECT, including the development of a model-based data-replacement strategy and integration with typical microarray workflows via caCORRECT's web portal and caBIG grid services. In this report, we demonstrate that caCORRECT improves the reproducibility and reliability of experimental results across several common Affymetrix microarray platforms. caCORRECT represents an advance over state-of-art quality control methods such as Harshlighting, and acts to improve gene expression calculation techniques such as PLIER, RMA and MAS5.0, because it incorporates spatial information into outlier detection as well as outlier information into probe normalization. The ability of caCORRECT to recover accurate gene expressions from low quality probe intensity data is assessed using a combination of real and synthetic artifacts with PCR follow-up confirmation and the affycomp spike in data. The caCORRECT tool can be accessed at the website: http://cacorrect.bme.gatech.edu. RESULTS: We demonstrate that (1) caCORRECT's artifact-aware normalization avoids the undesirable global data warping that happens when any damaged chips are processed without caCORRECT; (2) When used upstream of RMA, PLIER, or MAS5.0, the data imputation of caCORRECT generally improves the accuracy of microarray gene expression in the presence of artifacts more than using Harshlighting or not using any quality control; (3) Biomarkers selected from artifactual microarray data which have undergone the quality control procedures of caCORRECT are more likely to be reliable, as shown by both spike in and PCR validation experiments. Finally, we present a case study of the use of caCORRECT to reliably identify biomarkers for renal cell carcinoma, yielding two diagnostic biomarkers with potential clinical utility, PRKAB1 and NNMT. CONCLUSIONS: caCORRECT is shown to improve the accuracy of gene expression, and the reproducibility of experimental results in clinical application. This study suggests that caCORRECT will be useful to clean up possible artifacts in new as well as archived microarray data.

An analysis of scale and rotation invariance in the bag-of-features method for histopathological image classification.

The bag-of-features method has emerged as a useful and flexible tool that can capture medically relevant image characteristics. In this paper, we study the effect of scale and rotation invariance in the bag-of-features framework for Renal Cell Carcinoma subtype classification. We estimated the performance of different features by linear support vector machine over 10 iterations of 3-fold cross validation. For a very heterogeneous dataset labeled by an expert pathologist, we achieve a classification accuracy of 88% with four subtypes. Our study shows that rotation invariance is more important than scale invariance but combining both properties gives better classification performance.

Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry.

Tissue imaging mass spectrometry (TIMS) is a data-intensive technique for spatial biochemical analysis. TIMS contributes both molecular and spatial information to tissue analysis. We propose and evaluate a similarity measure, based on the hypergeometric distribution, for comparing m/z images from TIMS datasets, with the goal of identifying m/z values with similar spatial distributions. We compare the formulation and properties of the proposed method with those of other similarity measures, and examine the performance of each measure on synthetic and biological data. This study demonstrates that the proposed hypergeometric similarity measure is effective in identifying similar m/z images, and may be a useful addition to current methods in TIMS data analysis.

Histerectomía radical vaginal en cáncer cérvicouterino de estadio precoz / Radical vaginal hysterectomy in early stage cervical cancer

Objetivo: Comunicar una técnica mínimamente invasiva para el manejo quirúrgico del cáncer cérvicouterino en estadio precoz y sus resultados. Método: 40 pacientes con cáncer cérvicouterino en estadios IA2 y IB1 operadas en un período de 2,5 años. Se les efectúa linfadenectomía pelviana sistemática laparoscópica seguidas de histerectomía vaginal radical, excepto aquellas pacientes que tienen compromiso ganglionar detectado en biopsia contemporánea. Resultados: 40 pacientes son sometidas a esta técnica. Cuatro pacientes son abortadas de su cirugía, 3 por presentar ganglios positivos para carcinoma en biopsia contemporánea y 1 por tener un extenso compromiso cervical al momento de efectuar la histerectomía vaginal radical. Los 36 casos restantes tienen una edad promedio de 43,9 años, ninguna nulípara y 8 tienen el antecedente de cesárea. El IMC promedio fue de 30,49 y 14 conizadas previas. El tiempo operatorio promedio fue de 238 minutos. La estadía postoperatoria promedio fue de 2,9 días. El sangrado estimado fue de 139 cc y ninguna paciente requirió transfusión. Se conservan los anexos en 13 pacientes y en todas se suspenden por vía laparoscópica. El promedio de ganglios obtenidos fue de 30. Cuatro pacientes sufren lesión vesical, 1 fístula vesicovaginal y 3 disfunciones vesicales. Conclusión: El cáncer cérvicouterino en estadio precoz es factible de ser tratado con esta técnica y brinda las ventajas de la cirugía laparoscópica y vaginal con mínimas complicaciones.

Objective: To communicate a minimally invasive technique for surgical handling of early stage cervical cancer and its results. Methods: 40 patients with cervical cancer in stages IA2 and IB1, all of them operated in a period of 2.5 years, are presented. Laparoscopic systemic pelvic lymphadenectomy with posterior radical vaginal hysterectomy was performed, with the exception of those patients who had compromised nodes detected in contemporary biopsy. Results: 40 patients were submitted to this technique. 4 patients had their surgery aborted: 3 presented positive nodes for carcinoma in contemporary biopsy and 1 had extensive cervical compromise when performing radical vaginal hysterectomy. Analysis of the remaining 36 cases shows an average age of 43.9 years, all of them had given birth before, 8 of them through Cs-section. BMI averaged 30.49 and 14 had had cone surgery performed previously. Average duration of surgery was of 238 minutes. Postoperative hospitalization averaged 2.9 days. Bleeding volume was estimated at 139 cc and no patient required blood transfusion. 13 uterine annexes were kept and all of them were suspended by means of laparoscopy. On average, 30 nodes were obtained. 4 patients suffered bladder injury, one had vesicovaginal fistula and there were 3 bladder dysfunctions. Conclusion: The early stage cervical cancer is likely to be treated with this technique and provides de benefits of laparoscopic and vaginal surgery with minimal complications.

k-Nearest neighbor models for microarray gene expression analysis and clinical outcome prediction.

In the clinical application of genomic data analysis and modeling, a number of factors contribute to the performance of disease classification and clinical outcome prediction. This study focuses on the k-nearest neighbor (KNN) modeling strategy and its clinical use. Although KNN is simple and clinically appealing, large performance variations were found among experienced data analysis teams in the MicroArray Quality Control Phase II (MAQC-II) project. For clinical end points and controls from breast cancer, neuroblastoma and multiple myeloma, we systematically generated 463,320 KNN models by varying feature ranking method, number of features, distance metric, number of neighbors, vote weighting and decision threshold. We identified factors that contribute to the MAQC-II project performance variation, and validated a KNN data analysis protocol using a newly generated clinical data set with 478 neuroblastoma patients. We interpreted the biological and practical significance of the derived KNN models, and compared their performance with existing clinical factors.

Evaluation of executive functioning in people with intellectual disabilities.

BACKGROUND: Executive functioning (EF) is an important concept in cognitive psychology that has rarely been studied in people with intellectual disabilities (IDs). The aim of this study was to examine the validity of two test batteries and the structure of EF in this client group. METHODS: We administered the children's version of the Behavioural Assessment of the Dysexecutive Syndrome (BADS-C) and the Cambridge Executive Functioning Assessment (CEFA) for people with ID, to 40 participants who attended day centres for people with mild to moderate learning disabilities [mean full-scale intelligence quotient (IQ) = 59]. The BADS-C consists of six EF subtests while the CEFA contains eight EF (including two executive memory) subtests and four memory subtests. IQ and receptive language ability were also assessed. The results were subjected to principal components analysis, and regression analysis was used to examine the relationship of the ensuing factors to other cognitive variables. RESULTS: Scores on both sets of EF tests were only weakly related to receptive language ability, and even more weakly related to IQ. Scores on the BADS-C were substantially lower than predicted from the published norms for people in higher IQ ranges, and many participants scored zero on three of the six subtests. This potential floor effect was less evident with scores on the CEFA. Principal components analyses produced one usable factor for the BADS-C, and two factors for the CEFA that differed in both the extent of involvement of working memory and the predominant sensory modality. A combined analysis of the subtests retained from both analyses produced three factors that related uniquely to aspects of IQ and memory. CONCLUSIONS: The CEFA is suitable for use with people with mild to moderate learning disabilities, whereas the BADS-C is at the lower limit of usability with this client group. The lower-than-expected scores observed on the BADS-C may indicate that people known to learning disability services may be more impaired than people of comparable IQ not known to services. The structure of EF seen in people with IDs closely resembles a model of EF in the general population that has received a broad level of support.