Synovial myxosarcoma in the scapulohumeral joint of a dog: a case report.

A 12-year-old, 3 kg spayed female mixed-breed dog was evaluated to assess a 1-year history of intermittent right forelimb lameness that did not have adequate response to nonsteroidal anti-inflammatory drugs. The radiographic study performed under sedation showed multifocal radiolucent areas affecting both the right humerus and scapula with focal soft tissue swelling; a CT scan confirmed the existence of an aggressive and invasive soft tissue mass affecting the scapulohumeral joint. Fine needle aspiration results suggested a low-grade synovial sarcoma and therefore a scapulectomy was performed. The biopsy showed spindle to stellated cells immersed in a basophilic and mucinous (myxoid) matrix with mild to moderate anisocytosis, moderate anisokaryosis, some binucleated cells and sporadic multinucleated cells. These findings are consistent with low-grade synovial myxosarcoma, a not well described synovial neoplasm that can mimic other commonly seen joint tumors or even septic arthritis on radiographs. The purpose of this case report is to describe the first reported synovial myxosarcoma affecting the scapulohumeral joint of a small dog.

Adherence to risk-reducing salpingo-oophorectomy guidelines among gynecologic oncologists compared to general gynecologists.

BACKGROUND: Risk-reducing bilateral salpingo-oophorectomy reduces mortality from high-grade serous carcinoma in patients with hereditary breast and ovarian cancer associated gene mutations. Ideal surgical management includes 5 steps outlined in 2005 by the Society of Gynecologic Oncology and the American College of Obstetricians and Gynecologists. In addition, it is recommended that pathologic examination include serial sectioning of specimens. In practice, risk-reducing salpingo-oophorectomy is performed by both gynecologic oncologists and general gynecologists. To ensure optimal detection of occult malignancy, standardized adherence to outlined guidelines is necessary. OBJECTIVE: This study aimed to evaluate the adherence to optimal surgical and pathologic examination guidelines and to compare the rate of occult malignancy at the time of surgery between 2 provider types. STUDY DESIGN: Institutional review board exemption was obtained. A retrospective review of patients undergoing risk-reducing bilateral salpingo-oophorectomy without hysterectomy from October 1, 2015, to December 31, 2020, at 3 sites within a healthcare system was conducted. The inclusion criteria included age ≥18 years and a documented indication for surgery being a mutation in BRCA1 or BRCA2 or a strong family history of breast and/or ovarian cancer. Compliance with 5 surgical steps and pathologic specimen preparation was based on medical record documentation. Multivariable logistic regression was used to determine differences in adherence between provider groups and surgical and pathologic examination guidelines. A P value of <.025 was considered statistically significant for the 2 primary outcomes after Bonferroni correction was applied to adjust for multiple comparisons. RESULTS: A total of 185 patients were included. Among the 96 cases performed by gynecologic oncologists, 69 (72%) performed all 5 steps of surgery, 22 (23%) performed 4 steps, 5 (5%) performed 3 steps, and none performed 1 or 2 steps. Among the 89 cases performed by general gynecologists, 4 (5%) performed all 5 steps, 33 (37%) performed 4 steps, 38 (43%) performed 3 steps, 13 (15%) performed 2 steps, and 1 (1%) performed 1 step. Gynecologic oncologists were more likely to document adherence to all 5 recommended surgical steps in their surgical dictation (odds ratio, 54.3; 95% confidence interval, 18.1-162.7; P<.0001). Among the 96 cases documented by gynecologic oncologists, 41 (43%) had serial sectioning of all specimens performed, compared with 23 of 89 cases (26%) performed by general gynecologists. No difference in adherence to pathologic guidelines was identified between the 2 provider groups (P=.0489; note: P value of >.025). Overall, 5 patients (2.70%) had occult malignancy diagnosed at the time of risk-reducing surgery, with all surgeries performed by general gynecologists. CONCLUSION: Our results demonstrated greater compliance with surgical guidelines for risk-reducing bilateral salpingo-oophorectomy in gynecologic oncologists than in general gynecologists. No considerable difference was determined between the 2 provider types in adherence to pathologic guidelines. Our findings demonstrated a need for institution-wide protocol education and implementation of standardized nomenclature to ensure provider adherence to evidence-based guidelines.

Machine learning techniques to predict different levels of hospital care of CoVid-19.

In this study, we analyze the capability of several state of the art machine learning methods to predict whether patients diagnosed with CoVid-19 (CoronaVirus disease 2019) will need different levels of hospital care assistance (regular hospital admission or intensive care unit admission), during the course of their illness, using only demographic and clinical data. For this research, a data set of 10,454 patients from 14 hospitals in Galicia (Spain) was used. Each patient is characterized by 833 variables, two of which are age and gender and the other are records of diseases or conditions in their medical history. In addition, for each patient, his/her history of hospital or intensive care unit (ICU) admissions due to CoVid-19 is available. This clinical history will serve to label each patient and thus being able to assess the predictions of the model. Our aim is to identify which model delivers the best accuracies for both hospital and ICU admissions only using demographic variables and some structured clinical data, as well as identifying which of those are more relevant in both cases. The results obtained in the experimental study show that the best models are those based on oversampling as a preprocessing phase to balance the distribution of classes. Using these models and all the available features, we achieved an area under the curve (AUC) of 76.1% and 80.4% for predicting the need of hospital and ICU admissions, respectively. Furthermore, feature selection and oversampling techniques were applied and it has been experimentally verified that the relevant variables for the classification are age and gender, since only using these two features the performance of the models is not degraded for the two mentioned prediction problems.

Revisiting the Vibrational and Optical Properties of P3HT: A Combined Experimental and Theoretical Study.

We demonstrate that DFT-based calculations can provide straightforward means to analyze the effect of aggregation on the optical properties of regioregular P3HT oligomers of different lengths (up to 20-mers) and of bioligomers of 8-mers in two different conformations. Our conclusions substantially differ from those obtained previously by applying the exciton model. Indeed, analysis of Huang-Rhys factors has evidenced that two vibrational modes, a collective mode and an effective mode, are combined in the vibronic structure of the absorption spectrum of oligothiophene. Computed spectra match perfectly their experimental counterparts provided we consider that the oligomer and at least the five lowest excited states of bioligomers behave as absorbers, and that both oligomer and bioligomer contribute to the emission spectra. Study of the nature of the Franck-Condon excitation and optimization of the five lowest excited singlet states indicate that high (hot) excited states of the bioligomer may play an important role in the initiation of charge separation and highlight the importance to take into account the relaxation processes in the theoretical modeling of emission properties.

A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings.

BACKGROUND: Clinical diagnosis of sleep disorders relies on the polysomnographic test to examine the neurophysiological markers of the sleep process. In this test, the recording of the electroencephalographic activity and the submental electromyogram is the source of the analysis for the detection of electroencephalographic arousals. The identification of these events is important for the evaluation of the sleep continuity because they cause the fragmentation of the normal sleep process. This work proposes a new technique for the automatic detection of arousals in polysomnographic recordings, presenting a non-computationally complex method with the idea of providing an easy integration with other algorithms. METHODS: The proposed algorithm combines different well-known signal analysis solutions to identify relevant arousal patterns with special emphasis on robustness and artifacts tolerance. It is a multistage method that after obtaining an initial set of events, improves the detection finding common EEG arousal patterns. Finally, false positives are discarded after examining each candidate within the context of clinical definitions. RESULTS: 22 polysomnographic recordings from real patients were used to validate the method. The results obtained were encouraging, achieving a precision value of 0.86 and a F1 score value of 0.79. When compared with the gold standard, the method achieves a substantial agreement (Kappa coefficient of 0.78), with an almost perfect agreement with ten recordings. CONCLUSIONS: The algorithm designed achieved encouraging results and shows robust behavior in presence of signal artifacts. Its low-coupled design allows its implementation on different development platforms, and an easy combination with other methods.

Concurrent chemoradiation versus radiotherapy alone for the treatment of locally advanced cervical cancer in a low-resource setting.

Our goal was to determine the clinical treatment response following radiation administered with or without chemotherapy for locally advanced cervical cancers in Honduras. This is a retrospective study of patients treated with either concurrent chemoradiation (CCRT) or external beam radiation therapy (EBRT) alone at a hospital in Tegucigalpa, Honduras. 70 Gy of EBRT to the pelvis was given in all cases. Brachytherapy was not available. Chemotherapy was given when available. Extrafascial hysterectomy was performed 6 weeks after completion of treatment in patients with a complete clinical response (cCR). Records for 165 women with locally advanced cervical cancer were reviewed; 25 (15.2%) stage IB2, 15 (9.1%) stage IIA, 90 (54.5%) stage IIB, and 35 (21.2%) stage IIIB. Ninety (54.5%) patients received EBRT alone; 75 (45.5%) received CCRT. Twenty-three (33.3%) of CCRT patients received weekly cisplatin, the remainder receiving other agents. Seventy (77.8%) of the 90 patients who received EBRT had a cCR; 25 out of 75 (33.3%) patients in the CCRT group achieved a cCR. The CCRT group treated with weekly cisplatin achieved an 80% cCR; while the CCRT group given alternative agents had only a 31% cCR. Patients unable to receive platinum-based CCRT had the worst outcome, and their responses were inferior to patients who received EBRT. The challenges of treating women with locally advanced cervical cancer in a low-resource setting are multifactorial and include treatment delays, the lack of brachytherapy and the unpredictable availability of chemotherapy.

Inhibition of the Nuclear Export Receptor XPO1 as a Therapeutic Target for Platinum-Resistant Ovarian Cancer.

Purpose: The high fatality-to-case ratio of ovarian cancer is directly related to platinum resistance. Exportin-1 (XPO1) is a nuclear exporter that mediates nuclear export of multiple tumor suppressors. We investigated possible clinicopathologic correlations of XPO1 expression levels and evaluated the efficacy of XPO1 inhibition as a therapeutic strategy in platinum-sensitive and -resistant ovarian cancer.Experimental Design: XPO1 expression levels were analyzed to define clinicopathologic correlates using both TCGA/GEO datasets and tissue microarrays (TMA). The effect of XPO1 inhibition, using the small-molecule inhibitors KPT-185 and KPT-330 (selinexor) alone or in combination with a platinum agent on cell viability, apoptosis, and the transcriptome was tested in immortalized and patient-derived ovarian cancer cell lines (PDCL) and platinum-resistant mice (PDX). Seven patients with late-stage, recurrent, and heavily pretreated ovarian cancer were treated with an oral XPO1 inhibitor.Results: XPO1 RNA overexpression and protein nuclear localization were correlated with decreased survival and platinum resistance in ovarian cancer. Targeted XPO1 inhibition decreased cell viability and synergistically restored platinum sensitivity in both immortalized ovarian cancer cells and PDCL. The XPO1 inhibitor-mediated apoptosis occurred through both p53-dependent and p53-independent signaling pathways. Selinexor treatment, alone and in combination with platinum, markedly decreased tumor growth and prolonged survival in platinum-resistant PDX and mice. In selinexor-treated patients, tumor growth was halted in 3 of 5 patients, including one with a partial response, and was safely tolerated by all.Conclusions: Taken together, these results provide evidence that XPO1 inhibition represents a new therapeutic strategy for overcoming platinum resistance in women with ovarian cancer. Clin Cancer Res; 23(6); 1552-63. ©2016 AACR.

Genomic Analysis of Uterine Lavage Fluid Detects Early Endometrial Cancers and Reveals a Prevalent Landscape of Driver Mutations in Women without Histopathologic Evidence of Cancer: A Prospective Cross-Sectional Study.

BACKGROUND: Endometrial cancer is the most common gynecologic malignancy, and its incidence and associated mortality are increasing. Despite the immediate need to detect these cancers at an earlier stage, there is no effective screening methodology or protocol for endometrial cancer. The comprehensive, genomics-based analysis of endometrial cancer by The Cancer Genome Atlas (TCGA) revealed many of the molecular defects that define this cancer. Based on these cancer genome results, and in a prospective study, we hypothesized that the use of ultra-deep, targeted gene sequencing could detect somatic mutations in uterine lavage fluid obtained from women undergoing hysteroscopy as a means of molecular screening and diagnosis. METHODS AND FINDINGS: Uterine lavage and paired blood samples were collected and analyzed from 107 consecutive patients who were undergoing hysteroscopy and curettage for diagnostic evaluation from this single-institution study. The lavage fluid was separated into cellular and acellular fractions by centrifugation. Cellular and cell-free DNA (cfDNA) were isolated from each lavage. Two targeted next-generation sequencing (NGS) gene panels, one composed of 56 genes and the other of 12 genes, were used for ultra-deep sequencing. To rule out potential NGS-based errors, orthogonal mutation validation was performed using digital PCR and Sanger sequencing. Seven patients were diagnosed with endometrial cancer based on classic histopathologic analysis. Six of these patients had stage IA cancer, and one of these cancers was only detectable as a microscopic focus within a polyp. All seven patients were found to have significant cancer-associated gene mutations in both cell pellet and cfDNA fractions. In the four patients in whom adequate tumor sample was available, all tumor mutations above a specific allele fraction were present in the uterine lavage DNA samples. Mutations originally only detected in lavage fluid fractions were later confirmed to be present in tumor but at allele fractions significantly less than 1%. Of the remaining 95 patients diagnosed with benign or non-cancer pathology, 44 had no significant cancer mutations detected. Intriguingly, 51 patients without histopathologic evidence of cancer had relatively high allele fraction (1.0%-30.4%), cancer-associated mutations. Participants with detected driver and potential driver mutations were significantly older (mean age mutated = 57.96, 95% confidence interval [CI]: 3.30-∞, mean age no mutations = 50.35; p-value = 0.002; Benjamini-Hochberg [BH] adjusted p-value = 0.015) and more likely to be post-menopausal (p-value = 0.004; BH-adjusted p-value = 0.015) than those without these mutations. No associations were detected between mutation status and race/ethnicity, body mass index, diabetes, parity, and smoking status. Long-term follow-up was not presently available in this prospective study for those women without histopathologic evidence of cancer. CONCLUSIONS: Using ultra-deep NGS, we identified somatic mutations in DNA extracted both from cell pellets and a never previously reported cfDNA fraction from the uterine lavage. Using our targeted sequencing approach, endometrial driver mutations were identified in all seven women who received a cancer diagnosis based on classic histopathology of tissue curettage obtained at the time of hysteroscopy. In addition, relatively high allele fraction driver mutations were identified in the lavage fluid of approximately half of the women without a cancer diagnosis. Increasing age and post-menopausal status were associated with the presence of these cancer-associated mutations, suggesting the prevalent existence of a premalignant landscape in women without clinical evidence of cancer. Given that a uterine lavage can be easily and quickly performed even outside of the operating room and in a physician's office-based setting, our findings suggest the future possibility of this approach for screening women for the earliest stages of endometrial cancer. However, our findings suggest that further insight into development of cancer or its interruption are needed before translation to the clinic.

Identification and Rating of Gynecologic Oncology Applications Using the APPLICATIONS Scoring System.

BACKGROUND: Currently, there are thousands of medical applications (apps) on the market potentially leading to app overload. Finding useful and accurate apps may be time-consuming and frustrating to gynecologic oncologists. INTRODUCTION: The objective of this study is to identify and rate gynecologic oncology (gyn-onc) apps using the APPLICATIONS scoring system. MATERIALS AND METHODS: A list of nonconsumer gyn-onc apps was identified from the Apple iTunes and Google Play Stores. Based on reliable references, inaccurate apps were excluded. The remaining apps were rated with the APPLICATIONS scoring system, which uses both objective and subjective measures. RESULTS: Of 748 apps identified, 11 (1.5%) were found to be both useful and accurate to gyn-onc providers. The apps with the lowest scores were calculator apps, while those with the highest scores were informational apps. DISCUSSION: We found useful and accurate calculator, screening, staging, and informational apps. However, a large number of the apps found were considered inaccurate or non-gyn-onc specific. CONCLUSIONS: Our systematic method for identifying and rating apps with the APPLICATIONS scoring system can be applied within other subspecialties of obstetrics and gynecology and other specialties of medicine to offer providers with apps in clinical care.

Survey of Current Practice Patterns in the Treatment of Early-Stage Endometrial Cancer.

OBJECTIVES: Our aim was to assess current surgical practices and use of adjuvant therapy in the treatment of FIGO (International Federation of Gynecology and Obstetrics) stage I endometrioid endometrial cancer. METHODS: A 19-question survey was developed and sent to all Society of Gynecologic Oncologist members by e-mail. Data were collected anonymously using Internet-based survey software. Respondents were asked questions regarding preoperative evaluation, surgical approach, lymph node dissection (LND), and adjuvant therapy. RESULTS: A total of 1399 surveys were distributed, 320 (23%) members completed the survey. Ninety-seven percent of respondents were gynecologic oncologists or fellows, and 87% treat 30 or more endometrial cancer patients yearly. Respondents were more likely to order preoperative tests such as computed tomography abdomen/pelvis and CA-125 for biopsy-proven grade 3 disease versus grade 1 (82% vs 29%). Robot-assisted laparoscopy was the preferred surgical approach (66%), followed by conventional laparoscopy (21%). Twenty-six percent of respondents perform LND in all cases. Forty-eight percent describe their LND as complete, to the level of the inferior mesenteric artery. Adjuvant therapy was recommended more often with increasing myometrial invasion, tumor grade, and lymphovascular space invasion. Vaginal brachytherapy was the most commonly recommended adjuvant therapy for stage IA. For stage IB, grade 3, positive lymphovascular space invasion disease, respondents were more likely to combine vaginal brachytherapy with external beam radiotherapy and/or chemotherapy. Older patients were more likely to have adjuvant therapy in earlier stages of disease than younger patients. CONCLUSIONS: Our findings demonstrate that respondents are individualizing care based on preoperative, intraoperative, and pathologic findings. As expected, adjuvant treatment is recommended for patients with higher stage and grade disease. Robot-assisted hysterectomy and chemotherapy are now commonly used in the management of this disease. We anticipate that new trends will continue to emerge as results from additional studies become available.

Personalized Circulating Tumor DNA Biomarkers Dynamically Predict Treatment Response and Survival In Gynecologic Cancers.

BACKGROUND: High-grade serous ovarian and endometrial cancers are the most lethal female reproductive tract malignancies worldwide. In part, failure to treat these two aggressive cancers successfully centers on the fact that while the majority of patients are diagnosed based on current surveillance strategies as having a complete clinical response to their primary therapy, nearly half will develop disease recurrence within 18 months and the majority will die from disease recurrence within 5 years. Moreover, no currently used biomarkers or imaging studies can predict outcome following initial treatment. Circulating tumor DNA (ctDNA) represents a theoretically powerful biomarker for detecting otherwise occult disease. We therefore explored the use of personalized ctDNA markers as both a surveillance and prognostic biomarker in gynecologic cancers and compared this to current FDA-approved surveillance tools. METHODS AND FINDINGS: Tumor and serum samples were collected at time of surgery and then throughout treatment course for 44 patients with gynecologic cancers, representing 22 ovarian cancer cases, 17 uterine cancer cases, one peritoneal, three fallopian tube, and one patient with synchronous fallopian tube and uterine cancer. Patient/tumor-specific mutations were identified using whole-exome and targeted gene sequencing and ctDNA levels quantified using droplet digital PCR. CtDNA was detected in 93.8% of patients for whom probes were designed and levels were highly correlated with CA-125 serum and computed tomography (CT) scanning results. In six patients, ctDNA detected the presence of cancer even when CT scanning was negative and, on average, had a predictive lead time of seven months over CT imaging. Most notably, undetectable levels of ctDNA at six months following initial treatment was associated with markedly improved progression free and overall survival. CONCLUSIONS: Detection of residual disease in gynecologic, and indeed all cancers, represents a diagnostic dilemma and a potential critical inflection point in precision medicine. This study suggests that the use of personalized ctDNA biomarkers in gynecologic cancers can identify the presence of residual tumor while also more dynamically predicting response to treatment relative to currently used serum and imaging studies. Of particular interest, ctDNA was an independent predictor of survival in patients with ovarian and endometrial cancers. Earlier recognition of disease persistence and/or recurrence and the ability to stratify into better and worse outcome groups through ctDNA surveillance may open the window for improved survival and quality and life in these cancers.

Patient Preferences for Abdominal Incisions Used for Pelvic Organ Prolapse Surgery.

OBJECTIVES: Approaches for performing sacrocolpopexy (laparotomy, laparoscopy, and robotically assisted) differ with regard to length of surgery, postoperative pain, and cosmetic appearance of skin incisions. The aim of our study is to better understand what factors influence patient preferences for surgical approach. METHODS: A cross-sectional study was performed using a survey. Females 18 years or older presenting to gynecologic offices were asked to complete a survey that included photographs of patient incisions 6 weeks postoperatively along with a schematic representation of each incision type (laparotomy with low transverse incision, traditional laparoscopy, and robotically assisted). Patients were first asked to rank each incision based on cosmetic appearance only. They were next given varying clinical scenarios associated with each surgical approach and asked if their preference of incision changed. A sample size of 90 subjects was needed in order to detect a 30% difference in incision preference based on appearance with an α of 0.05 and 80% power. RESULTS: One hundred fifty patients completed the survey. Based on cosmetic appearance alone, 70% chose laparoscopic surgery, 23% chose open, and 7% chose the robotic approach (P < 0.0001). The majority of the subjects would not change their incision preference of laparoscopy based on differing scenarios of postoperative pain (62.6%), length of surgery (65.3%), and length of hospital stay (73.6%). When asked to rank factors important in decision making, complication rate (53.9%) and surgeon experience with the procedure (32.8%) were ranked as most important. CONCLUSIONS: Based on cosmetic appearance, patients prefer the laparoscopic approach for abdominal sacrocolpopexy for pelvic organ prolapse surgery. However, complication rates and surgeon experience with the procedure are important factors in the patient's decision making.

Improving detection of apneic events by learning from examples and treatment of missing data.

This paper presents a comparative study over the respiratory pattern classification task involving three missing data imputation techniques, and four different machine learning algorithms. The main goal was to find a classifier that achieves the best accuracy results using a scalable imputation method in comparison to the method used in a previous work of the authors. The results obtained show that the Self-organization maps imputation method allows any classifier to achieve improvements over the rest of the imputation methods, and that the Feedforward neural network classifier offers the best performance regardless the imputation method used.

Ventricular arrhythmias in super-responders to cardiac resynchronization therapy.

INTRODUCTION AND OBJECTIVES: Cardiac resynchronization therapy is associated with improved quality of life and reduced morbidity and mortality in patients with severe ventricular dysfunction and wide QRS. However, its role in the reduction of ventricular arrhythmias is more controversial. METHODS: We compared the incidence of ventricular arrhythmias in patients who were undergoing cardiac resynchronization therapy with an implantable cardioverter-defibrillator in terms of the degree of echocardiographic response to resynchronization. Patients were classified in 3 subgroups;super-responders, responders, and nonresponders. RESULTS: We included 196 patients who were followed up for a median 30.1 months [interquartile range, 18.0-55.1 months]. We recorded the presence of ventricular arrhythmias in 37 patients (18.8%); 3 patients (5.9%) in the super-responder group had ventricular arrhythmias vs 14 (22.2%) among the responders and 20 (24.4%) in the group of nonresponders (P = .025). In multivariate analysis, the only independent predictors of the appearance of ventricular arrhythmias were secondary-prevention device implantation (odds ratio = 4.04; 95% confidence interval, 1.52-10.75; P=.005), absence of echocardiographic super-response (odds ratio=3.81; 95% confidence interval, 1.04-13.93; P=043), QRS >160 ms (odds ratio=2.39; 95% confidence interval, 1.00-1.35; P=.049) and treatment with amiodarone (odds ratio=2.47; 95% confidence interval, 1.03-5.91; P=.041). CONCLUSIONS: The patients classified as super-responders to cardiac resynchronization therapy had a significant reduction in incidence of ventricular arrhythmias by comparison with the other patients. Despite this, arrhythmic episodes do not completely disappear in this subgroup.

Arritmias ventriculares en superrespondedores a la terapia de resincronización cardiaca / Ventricular arrhythmias in super-responders to cardiac resynchronization therapy

Introducción y objetivos La terapia de resincronización cardiaca se asocia a mejora de la calidad de vida y reducción de la morbimortalidad de los pacientes con disfunción ventricular grave y QRS ancho. Sobre su papel en la reducción de arritmias ventriculares, hay más discusión. Métodos Se comparó la incidencia de arritmias ventriculares en pacientes portadores de desfibrilador automático implantable con función de resincronización cardiaca, según el grado de respuesta ecocardiográfica a la resincronización. Se clasificó a los pacientes en tres subgrupos: superrespondedores, respondedores y no respondedores. Resultados Se incluyó a 196 pacientes seguidos durante una mediana de 30,1 [intervalo intercuartílico, 18,0-55,1] meses. Se documentó presencia de arritmias ventriculares en 37 pacientes (18,8%); 3 pacientes (5,9%) del grupo de superrespondedores presentaron arritmias ventriculares, en comparación con 14 (22,2%) del grupo de respondedores y 20 (24,4%) del grupo de no respondedores (p = 0,025). En el análisis multivariable, el implante del dispositivo en prevención secundaria (odds ratio = 4,04; intervalo de confianza del 95%, 1,52-10,75; p = 0,005), la ausencia de superrespuesta ecocardiográfica (odds ratio = 3,81; intervalo de confianza del 95%, 1,04-13,93; p = 0,043), un QRS > 160ms (odds ratio = 2,39; intervalo de confianza del 95%, 1,00-1,35; p = 0,049) y el tratamiento con amiodarona (odds ratio = 2,47; intervalo de confianza del 95%, 1,03-5,91; p = 0,041) fueron los únicos predictores independientes de aparición de arritmias ventriculares. Conclusiones: Los pacientes superrespondedores a la terapia de resincronización cardiaca presentan una disminución significativa en la incidencia de arritmias ventriculares respecto a los demás pacientes. Pese a ello, los episodios arrítmicos no llegan a desaparecer por completo en este subgrupo

Introduction and objectives: Cardiac resynchronization therapy is associated with improved quality of life and reduced morbidity and mortality in patients with severe ventricular dysfunction and wide QRS. However, its role in the reduction of ventricular arrhythmias is more controversial. Methods: We compared the incidence of ventricular arrhythmias in patients who were undergoing cardiac resynchronization therapy with an implantable cardioverter-defibrillator in terms of the degree of echocardiographic response to resynchronization. Patients were classified in 3 subgroups; superresponders, responders, and non responders. Results: We included 196 patients who were followed up for a median 30.1 months [interquartile range,18.0-55.1 months]. We recorded the presence of ventricular arrhythmias in 37 patients (18.8%);3 patients (5.9%) in the super-responder group had ventricular arrhythmias vs 14 (22.2%) among the responders and 20 (24.4%) in the group of non responders (P = .025). In multivariate analysis, the only independent predictors of the appearance of ventricular arrhythmias were secondary-prevention device implantation (odds ratio = 4.04; 95% confidence interval, 1.52-10.75; P=.005), absence of echocardiographic super-response (odds ratio=3.81; 95% confidence interval, 1.04-13.93; P = 043), QRS >160ms (odds ratio=2.39; 95% confidence interval, 1.00-1.35; P=.049) and treatment with amiodarone (odds ratio=2.47; 95% confidence interval, 1.03-5.91; P = .041). Conclusions: The patients classified as super-responders to cardiac resynchronization therapy had a significant reduction in incidence of ventricular arrhythmias by comparison with the other patients. Despite this, arrhythmic episodes do not completely disappear in this subgroup

Interferon regulatory factor 1 is an independent predictor of platinum resistance and survival in high-grade serous ovarian carcinoma.

OBJECTIVE: High-grade serous ovarian cancer (HGSOC) that is resistant to platinum-based chemotherapy has a particularly poor prognosis. Response to platinum has both prognostic survival value and dictates secondary treatment strategies. Using transcriptome analysis, we sought to identify differentially expressed genes/pathways based on a tumor's platinum response for discovering novel predictive biomarkers. METHODS: Seven primary HGSOC tumor samples, representing two extremes of platinum sensitivity/timing of disease recurrence, were analyzed by RNA-Seq, Ingenuity Pathways Analysis (IPA) and Upstream Regulator Analysis (URA), and used to explore differentially expressed genes and prevalent molecular and cellular processes. Progression-free and overall survival (PFS, OS) was estimated using the Kaplan-Meier method in two different sample sets including GEO and TCGA data sets. RESULTS: IPA and URA highlighted an IRF1-driven transcriptional program (P=0.0017; z-score of 3.091) in the platinum sensitive improved PFS group. QRT-PCR analysis of 31 HGSOC samples demonstrated a significant difference in PFS between low and high IRF1 expression groups (P=0.048) and between groups that were platinum sensitive versus not (P=0.016). In a larger validation data set, increased levels of IRF1 were associated with both increased PFS (P=0.043) and OS (P=0.019) and the effect on OS was independent of debulking status (optimal debulking, P=0.025; suboptimal, P=0.041). CONCLUSION: Transcriptome analysis identifies IRF1, a transcription factor that functions both in immune regulation and as a tumor suppressor, as being associated with platinum sensitivity and an independent predictor of both PFS and OS in HGSOC.

Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome.

This work deals with the development of an intelligent approach for clinical decision making in the diagnosis of the Sleep Apnea/Hypopnea Syndrome, SAHS, from the analysis of respiratory signals and oxygen saturation in arterial blood, SaO2. In order to accomplish the task the proposed approach makes use of different artificial intelligence techniques and reasoning processes being able to deal with imprecise data. These reasoning processes are based on fuzzy logic and on temporal analysis of the information. The developed approach also takes into account the possibility of artifacts in the monitored signals. Detection and characterization of signal artifacts allows detection of false positives. Identification of relevant diagnostic patterns and temporal correlation of events is performed through the implementation of temporal constraints.

Multicystic benign cystic mesothelioma presenting as a pelvic mass.

Background. Benign cystic mesothelioma (BCM) is a rare tumor that arises from the abdominal peritoneum with a predilection to the pelvic peritoneum. For this reason, it can often mimic gynecologic malignancies. Case. A 47-year-old perimenopausal female presented reporting several weeks of abdominal distention associated with abdominal tenderness and constipation. Computed tomography revealed a 24 cm multiloculated pelvic mass, and tumor markers were notable for an elevated CA-125. The patient was taken to the operating room for an exploratory laparotomy, total abdominal hysterectomy, bilateral salpingoophorectomy, and removal of pelvic mass. Final pathologic evaluation revealed a benign cystic mesothelioma. Conclusion. Classically these tumors present as large multicystic masses with thin-walled septations and on preoperative evaluation BCM can mimic many different disease entities including ovarian malignancies and cystic lymphangioma. Often diagnosis can only be made at time of surgery.

Personalized ovarian cancer disease surveillance and detection of candidate therapeutic drug target in circulating tumor DNA.

Retrospective studies have demonstrated that nearly 50% of patients with ovarian cancer with normal cancer antigen 125 (CA125) levels have persistent disease; however, prospectively distinguishing between patients is currently impossible. Here, we demonstrate that for one patient, with the first reported fibroblast growth factor receptor 2 (FGFR2) fusion transcript in ovarian cancer, circulating tumor DNA (ctDNA) is a more sensitive and specific biomarker than CA125, and it can also inform on a candidate therapeutic. For a 4-year period, during which the patient underwent primary debulking surgery and chemotherapy, tumor recurrences, and multiple chemotherapeutic regimens, blood samples were longitudinally collected and stored. Whereas postsurgical CA125 levels were elevated only three times for 28 measurements, the FGFR2 fusion ctDNA biomarker was readily detectable by quantitative real-time reverse transcription-polymerase chain reaction (PCR) in all of these same blood samples and in the tumor recurrences. Given the persistence of the FGFR2 fusion, we treated tumor cells derived from this patient and others with the FGFR2 inhibitor BGJ398. Only tumor cells derived from this patient were sensitive to FGFR2 inhibitor treatment. Using the same methodologic approach, we demonstrate in a second patient with a different fusion that PCR and agarose gel electrophoresis can also be used to identify tumor-specific DNA in the circulation. Taken together, we demonstrate that a relatively inexpensive, PCR-based ctDNA surveillance assay can outperform CA125 in identifying occult disease.