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ncer. Applying receptLoss to expression data from additional cancer types could lead to the development of biomarkers of disease progression for patients with any other tumor type. ReceptLoss can be applied to expression data from additional cancer types with the goal of identifying biomarkers of differential survival.
ReceptLoss is a novel, open-source software tool to systematically identify NHR expression loss in cancer. The application of receptLoss to endometrial cancer gene expression data identified THRB, a previously undescribed biomarker of survival in endometrial cancer. Applying receptLoss to expression data from additional cancer types could lead to the development of biomarkers of disease progression for patients with any other tumor type. ReceptLoss can be applied to expression data from additional cancer types with the goal of identifying biomarkers of differential survival.
The maternity care system in the Netherlands is well known for its support of community-based midwifery. However, regular midwifery practices typically do not offer caseload midwifery care - one-to-one continuity of care throughout pregnancy and birth. Because we know very little about the outcomes for women receiving caseload care in the Netherlands, we compared caseload care with regular midwife-led care, looking at maternal and perinatal outcomes, including antenatal and intrapartum referrals to secondary (i.e., obstetrician-led) care.
We selected 657 women in caseload care and 1954 matched controls (women in regular midwife-led care) from all women registered in the Dutch Perinatal Registry (Perined) who gave birth in 2015. To be eligible for selection the women had to be in midwife-led antenatal care beyond 28 gestational weeks. Each woman in caseload care was matched with three women in regular midwife-led care, using parity, maternal age, background (Dutch or non-Dutch) and region. These two cohort with similar perinatal safety. The challenge is to include this model as part of the current effort to improve the quality of Dutch maternity care, making caseload care available and affordable for more women.
We found that when compared to regular midwife-led care, caseload midwifery care in the Netherlands is associated with a lower referral rate to obstetrician-led care - both antenatally and in the intrapartum period - and a higher spontaneous vaginal birth rate, with similar perinatal safety. The challenge is to include this model as part of the current effort to improve the quality of Dutch maternity care, making caseload care available and affordable for more women.
The World Health Organization's definition of maternal morbidity refers to "a negative impact on the woman's wellbeing and/or functioning". Many studies have documented the, mostly negative, effects of maternal ill-health on functioning. Although conceptually important, measurement of functioning remains underdeveloped, and the best way to measure functioning in pregnant and postpartum populations is unknown.
A cross-sectional study among women presenting for antenatal (N = 750) and postpartum (N = 740) care in Jamaica, Kenya and Malawi took place in 2015-2016. Functioning was measured through the World Health Organization Disability Assessment Schedule (WHODAS-12). Data on health conditions and socio-demographic characteristics were collected through structured interview, medical record review, and clinical examination. This paper presents descriptive data on the distribution of functioning status among pregnant and postpartum women and examines the relationship between functioning and health conditions.he WHODAS-12 may not be the optimal tool for use in this population and additional components to capture pregnancy-specific issues may be needed. Challenges remain in how to integrate functioning outcomes into routine maternal healthcare at-scale and across diverse settings.
The COVID-19 pandemic has disrupted healthcare systems worldwide. In addition to the direct impact of the virus on patient morbidity and mortality, the effect of lockdown strategies on health and healthcare utilization have become apparent. Little is known on the effect of the pandemic on pediatric and adolescent medicine. We examined the impact of the pandemic on pediatric emergency healthcare utilization.
We conducted a monocentric, retrospective analysis of n = 5,424 pediatric emergency department visits between January 1st and April 19th of 2019 and 2020, and compared healthcare utilization during the pandemic in 2020 to the same period in 2019.
In the four weeks after lockdown in Germany began, we observed a massive drop of 63.8% in pediatric emergency healthcare utilization (mean daily visits 26.8 ± SEM 1.5 in 2019 vs. 9.7 ± SEM 1 in 2020, p < 0.005). This drop in cases occurred for both communicable and non-communicable diseases. A larger proportion of patients under one year old (daily mean of 16.6% ±SEM 1.4 in 2019 vs. 23.1% ±SEM 1.7 in 2020,p < 0.01) and of cases requiring hospitalisation (mean of 13.9% ±SEM 1.6 in 2019 vs. 26.6% ±SEM 3.3 in 2020, p < 0.001) occurred during the pandemic. During the analysed time periods, few intensive care admissions and no fatalities occurred.
Our data illustrate a significant decrease in pediatric emergency department visits during the COVID-19 pandemic. Public outreach is needed to encourage parents and guardians to seek medical attention for pediatric emergencies in spite of the pandemic.
Our data illustrate a significant decrease in pediatric emergency department visits during the COVID-19 pandemic. MG149 research buy Public outreach is needed to encourage parents and guardians to seek medical attention for pediatric emergencies in spite of the pandemic.
Tuberculosis is still a significant diagnostic and therapeutic challenge with high proportion of smear- and culture- negative incidences worldwide. The conventional diagnostic tests are time-consuming and have a low sensitivity. Digital PCR is a novel technology which can detect target sequences with relatively low abundance and obtain the absolute copy numbers of the targets.
We assessed the accuracy of dPCR in TB diagnosis using more than 250 specimens, and for the first time, we selected M.tuberculosis-specific IS1081 in addition to widely used IS6110 as the amplification targets for dPCR. The quantification of target DNA was calculated using QuantaSoft Version 1.7.4.0917 (BioRad), and SPSS version 13.0 software (SPSS Inc., Chicago, IL, USA) was used for statistical analyses.
IS6110-dPCR was more sensitive than IS1081, with the sensitivity and specificity accounting for 40.6 and 93.4% respectively. When we classified the TB patients by personal factors for high copy number of M.tuberculosis derived DNA in plasma bilateral TB, extrapulmonary TB and disseminated TB, the sensitivity of both IS6110- and IS1081- dPCR was the highest in patients with disseminated TB (IS6110, 100%; IS1081, 68.
