Sexual Function in Women With Polycystic Ovary Syndrome: Design of an Observational Prospective Multicenter Case Control Study

Introduction: The prevalence of polycystic ovary syndrome (PCOS) is 10–15% in women of reproductive age. Its characteristics are (i) clinical or biochemical hyperandrogenism, (ii) oligomenorrhea or amenorrhea, and (iii) polycystic ovaries on ultrasound. PCOS is associated with lower quality of life, depression, anxiety, diabetes, and cardiovascular disease. Treatment commonly entails oral contraceptive use to lower endogenous androgen levels. Androgen levels and comorbidities may affect sexual function. Previous studies have addressed a limited range of possible contributing factors. We will assess sexual function as well as genital and self-reported sexual arousal in a laboratory setting in women with PCOS compared to an age-matched healthy control group. Modulation by biopsychosocial factors mentioned will be studied. Methods: This is a multicenter prospective case control study. The study population includes healthy women with and without PCOS, aged 18–40 years, in a stable heterosexual relationship for at least 6 months. Power is calculated at 67 participants in each group. Anticipating a drop out of 10%, 150 participants will be recruited. Main outcome measures: The main outcomes measured are sexual function using the Female Sexual Function Index, Sexual Desire Inventory, and Female Sexual Distress Scale-Revised; genital sexual arousal measured as vaginal pulse amplitude; and self-reported sexual arousal in response to erotic stimuli in a laboratory setting. The mediators that will be investigated include testosterone, free androgen levels, oral contraceptive use, sensitivity to androgens (using CAG repeat length), body mass index, body image, mental health, and self-esteem. Conclusion: Strengths of this study are the inclusion of a broad range of biopsychosocial outcome measures including DNA analysis, a healthy control group, and standardized assessment of genital and self-reported sexual arousal in a laboratory setting. With the design of this study we aim to provide an insight into which biopsychosocial factors associated with PCOS are related to sexual function, and how sexual function may be affected by treatment. These new insights may help to improve clinical management of PCOS while improving the quality of life. Pastoor H, Both S, Timman R, et al. Sexual Function in Women With Polycystic Ovary Syndrome: Design of an Observational Prospective Multicenter Case Control Study. Sex Med 2020;XX:XXX–XXX

Het European Sexual Medicine Network:Een brede Europese aanpak van seksuele gezondheid

Samenvatting             In dit artikel introduceren we kort het European Sexual Medicine Network (ESMN), een vier jaar durend Europees project dat beoogt om het vakgebied van de seksuologie een stevige impuls te geven en het prominenter op de Europese agenda te zetten. We bespreken de achtergrond, de rationale en de doelen van dit project. Ook wordt de structuur en werkwijze belicht. In een vooruitblik worden de geplande einddoelen en –producten beschreven, en hoe seksuologen, seksonderzoekers, opleiders, en beleidsmakers hiervan kunnen profiteren

Maus-tratos na infância e adolescência: percepção e conduta de profissionais de nível superior que atuam na Estratégia Saúde da Família Maltreatment in childhood and adolescence: perception and conduct of higher education professionals acting at Family Health Strategy

Introdução: Os maus-tratos infantis são um problema mundial com graves consequências que podem perdurar por toda a vida. Objetivo: Analisar o processo de notificações de maus-tratos contra crianças e adolescentes por profissionais de saúde com nível superior que atuam na Estratégia Saúde da Família (ESF) em dois municípios da região metropolitana de Curitiba/PR. Material e métodos: Trata-se de um estudo observacional, transversal, descritivo, com abordagem quantitativa. Participaram 97 profissionais que atuam na ESF nos municípios de Colombo/PR e Piraquara/PR. Foi utilizado um  questionário autoaplicável sobre dados sociodemográficos, formação profissional, conhecimento sobre o tema e notificação de casos de maus-tratos infantojuvenis. Resultados: Observou-se que a maioria dos profissionais conhecia a ficha de notificação (64,9%), sabia conduzir o caso suspeito, optando pela notificação (69,5%), e que se sente capaz de identificar casos de maus-tratos (75,2%). Conclusão: Apesar de grande parte desses profissionais demonstrar conhecimento sobre o tema, é necessário que seja abordado de forma contínua no processo de educação permanente do Sistema Único de Saúde (SUS).Introdução: Os maus-tratos infantis são um problema mundial com graves consequências que podem perdurar por toda a vida. Objetivo: Analisar o processo de notificações de maus-tratos contra crianças e adolescentes por profissionais de saúde com nível superior que atuam na Estratégia Saúde da Família (ESF) em dois municípios da região metropolitana de Curitiba/PR. Material e métodos: Trata-se de um estudo observacional, transversal, descritivo, com abordagem quantitativa. Participaram 97 profissionais que atuam na ESF nos municípios de Colombo/PR e Piraquara/PR. Foi utilizado um  questionário autoaplicável sobre dados sociodemográficos, formação profissional, conhecimento sobre o tema e notificação de casos de maus-tratos infantojuvenis. Resultados: Observou-se que a maioria dos profissionais conhecia a ficha de notificação (64,9%), sabia conduzir o caso suspeito, optando pela notificação (69,5%), e que se sente capaz de identificar casos de maus-tratos (75,2%). Conclusão: Apesar de grande parte desses profissionais demonstrar conhecimento sobre o tema, é necessário que seja abordado de forma contínua no processo de educação permanente do Sistema Único de Saúde (SUS)

Frequency of antimicrobial resistance among invasive and colonizing Group B Streptococcal isolates

BACKGROUND: Group B Streptococcus (GBS) remains susceptible to penicillin, however, resistance to second-line antimicrobials, clindamycin and erythromycin, has increased since 1996. We describe the age-specific antibiotic susceptibility profile and capsular type distribution among invasive and colonizing GBS strains. METHODS: We tested 486 invasive GBS isolates from individuals of all ages collected by a Wisconsin surveillance system between 1998 and 2002 and 167 colonizing strains collected from nonpregnant college students during 2001 in Michigan. Antimicrobial susceptibility testing was performed by disk diffusion or Etest and capsular typing was performed using DNA dot blot hybridization RESULTS: 20.0% (97/486) of invasive and 40.7% (68/167) of colonizing isolates were resistant to clindamycin (P < .001) and 24.5% (119/486) of invasive and 41.9% (70/167) of colonizing isolates were resistant to erythromycin (P < .001). Similarly, 19.8% (96/486) of invasive and 38.3% (64/167) of colonizing isolates were resistant to both antimicrobial agents (P < .001). 29.4% (5/17) of invasive isolates from persons 18–29 years of age and 24.3% (17/70) of invasive isolates from persons 30–49 years of age were resistant to clindamycin. Similarly, 35.3% (6/17) of invasive isolates from persons 18–29 years of age and 31.4% (22/70) of invasive isolates from persons 30–49 years of age were resistant to erythromycin. 34.7% (26/75) of invasive isolates from persons < 1 year of age were capsular type Ia, whereas capsular type V predominated among isolates from adults. CONCLUSION: Clindamycin and erythromycin resistance rates were high among isolates colonizing nonpregnant college students and invasive GBS isolates, particularly among the colonizing isolates. Susceptibility profiles were similar by age although the proportion of clindamycin and erythromycin resistance among invasive isolates was highest among persons 18–49 years of age. Increasing antimicrobial resistance has implications for GBS disease treatment and intrapartum prophylaxis among penicillin intolerant patients

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study

Background: Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to infection can provide useful insights and can lead to the identification of biomarkers of infection with diagnostic potential. This study aimed to identify host protein biomarkers for future development into an accurate, rapid point-of-care test that can distinguish between bacterial and viral infections, by recruiting children presenting to health-care settings with fever or a history of fever in the previous 72 h. Methods: In this multi-cohort machine learning study, patient data were taken from EUCLIDS, the Swiss Pediatric Sepsis study, the GENDRES study, and the PERFORM study, which were all based in Europe. We generated three high-dimensional proteomic datasets (SomaScan and two via liquid chromatography tandem mass spectrometry, referred to as MS-A and MS-B) using targeted and untargeted platforms (SomaScan and liquid chromatography mass spectrometry). Protein biomarkers were then shortlisted using differential abundance analysis, feature selection using forward selection-partial least squares (FS-PLS; 100 iterations), along with a literature search. Identified proteins were tested with Luminex and ELISA and iterative FS-PLS was done again (25 iterations) on the Luminex results alone, and the Luminex and ELISA results together. A sparse protein signature for distinguishing between bacterial and viral infections was identified from the selected proteins. The performance of this signature was finally tested using Luminex assays and by calculating disease risk scores. Findings: 376 children provided serum or plasma samples for use in the discovery of protein biomarkers. 79 serum samples were collected for the generation of the SomaScan dataset, 147 plasma samples for the MS-A dataset, and 150 plasma samples for the MS-B dataset. Differential abundance analysis, and the first round of feature selection using FS-PLS identified 35 protein biomarker candidates, of which 13 had commercial ELISA or Luminex tests available. 16 proteins with ELISA or Luminex tests available were identified by literature review. Further evaluation via Luminex and ELISA and the second round of feature selection using FS-PLS revealed a six-protein signature: three of the included proteins are elevated in bacterial infections (SELE, NGAL, and IFN-γ), and three are elevated in viral infections (IL18, NCAM1, and LG3BP). Performance testing of the signature using Luminex assays revealed area under the receiver operating characteristic curve values between 89·4% and 93·6%. Interpretation: This study has led to the identification of a protein signature that could be ultimately developed into a blood-based point-of-care diagnostic test for rapidly diagnosing bacterial and viral infections in febrile children. Such a test has the potential to greatly improve care of children who are febrile, ensuring that the correct individuals receive antibiotics

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study.

BACKGROUND Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to infection can provide useful insights and can lead to the identification of biomarkers of infection with diagnostic potential. This study aimed to identify host protein biomarkers for future development into an accurate, rapid point-of-care test that can distinguish between bacterial and viral infections, by recruiting children presenting to health-care settings with fever or a history of fever in the previous 72 h. METHODS In this multi-cohort machine learning study, patient data were taken from EUCLIDS, the Swiss Pediatric Sepsis study, the GENDRES study, and the PERFORM study, which were all based in Europe. We generated three high-dimensional proteomic datasets (SomaScan and two via liquid chromatography tandem mass spectrometry, referred to as MS-A and MS-B) using targeted and untargeted platforms (SomaScan and liquid chromatography mass spectrometry). Protein biomarkers were then shortlisted using differential abundance analysis, feature selection using forward selection-partial least squares (FS-PLS; 100 iterations), along with a literature search. Identified proteins were tested with Luminex and ELISA and iterative FS-PLS was done again (25 iterations) on the Luminex results alone, and the Luminex and ELISA results together. A sparse protein signature for distinguishing between bacterial and viral infections was identified from the selected proteins. The performance of this signature was finally tested using Luminex assays and by calculating disease risk scores. FINDINGS 376 children provided serum or plasma samples for use in the discovery of protein biomarkers. 79 serum samples were collected for the generation of the SomaScan dataset, 147 plasma samples for the MS-A dataset, and 150 plasma samples for the MS-B dataset. Differential abundance analysis, and the first round of feature selection using FS-PLS identified 35 protein biomarker candidates, of which 13 had commercial ELISA or Luminex tests available. 16 proteins with ELISA or Luminex tests available were identified by literature review. Further evaluation via Luminex and ELISA and the second round of feature selection using FS-PLS revealed a six-protein signature: three of the included proteins are elevated in bacterial infections (SELE, NGAL, and IFN-γ), and three are elevated in viral infections (IL18, NCAM1, and LG3BP). Performance testing of the signature using Luminex assays revealed area under the receiver operating characteristic curve values between 89·4% and 93·6%. INTERPRETATION This study has led to the identification of a protein signature that could be ultimately developed into a blood-based point-of-care diagnostic test for rapidly diagnosing bacterial and viral infections in febrile children. Such a test has the potential to greatly improve care of children who are febrile, ensuring that the correct individuals receive antibiotics. FUNDING European Union's Horizon 2020 research and innovation programme, the European Union's Seventh Framework Programme (EUCLIDS), Imperial Biomedical Research Centre of the National Institute for Health Research, the Wellcome Trust and Medical Research Foundation, Instituto de Salud Carlos III, Consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Grupos de Refeencia Competitiva, Swiss State Secretariat for Education, Research and Innovation

Sex-specific effects of the local social environment on juvenile post-fledging dispersal in great tits

An individual’s decision to disperse from the natal habitat can affect its future fitness prospects. Especially in species with sex-biased dispersal, we expect the cost–benefit balance for dispersal to vary according to the social environment (e.g., local sex ratio and density). However, little is known about the social factors affecting dispersal decisions and about the temporal and spatial patterns of the dispersal process. In our study, we investigated experimentally the effects of the social environment on post-fledging dispersal of juvenile great tits by simultaneously manipulating the density and sex ratio of fledglings within forest plots. We expected young females in the post-fledging period mainly to compete for resources related to food and, as they are subordinate to males, we predicted higher female dispersal from male-biased plots. Juvenile males compete for vacant territories already in late summer and autumn; thus, we predicted increased male dispersal from high density and male-biased plots. We found that juvenile females had a higher probability to leave male-biased plots and had dispersed further from male-biased plots in the later post-fledging phase when juvenile males start to become territorial and more aggressive. Juvenile males were least likely to leave male-biased plots and had smallest dispersal distances from female-biased plots early after fledging. The results suggest that the social environment differentially affected the costs and benefits of philopatry for male and female juveniles. The local sex ratio of individuals is thus an important social trait to be considered for understanding sex-specific dispersal processes