Notes

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he ML should be preferred in patients with AS, especially in those with USH.
Two-dimensional TTE systematically overestimated LV mass and underestimated LV volumes compared with CMR. However, the bias between TTE and CMR was less important when measuring at the ML. Measurements at the BL as suggested in guidelines should be avoided, and measurements at the ML should be preferred in patients with AS, especially in those with USH.
To evaluate gender distribution in radiology professional society leadership positions. Our study intends to assess and compare the gender distribution among leadership roles and professional society committee memberships of the radiology societies and seek an understanding of potential associations between gender, academic research metrics, institutional academic rank, and leadership roles.

We identified radiology professional society committee members to assess relative gender composition in 28 radiology societies in North America, Europe, and Australia/New Zealand. The research metrics were obtained from the SCOPUS database and demographics and institutional affiliation through institutional websites' internet searches. Gender distribution by academic ranks and other discontinuous variables were analyzed using the Chi-Square test. Wallis tests.

Of the 3011 members of society committees, 67.9% were male, and 32.1% female. Among all the society members, the data showed that the proportion of committee tation of females at higher academic ranks, and males overall had higher research metrics than females.
There was male predominance amongst committee members in radiology societies. Our study found no significant differences between those in leadership positions, suggesting that once a member of a committee, females are equally likely as males to attain leadership positions. Analysis of committee members' academic rank and committee leaders demonstrated underrepresentation of females at higher academic ranks, and males overall had higher research metrics than females.
Reproductive rights policies can potentially support or inhibit individuals' abilities to attain the highest standard of reproductive and sexual health; however, research is limited on how broader social policies may differentially impact women of color and immigrants in the U.S. This study examines the associations among state-level reproductive rights policies, race, and nativity status with preterm birth and low birth weight in the U.S.

This was a retrospective, cross-sectional analysis of all births occurring within all the 50 states and the District of Columbia using vital statistics birth record data in 2016 (N=3,945,875). Modified log-Poisson regression models with generalized estimating equations were fitted to estimate the RR of preterm birth and low birth weight associated with tertiles of the reproductive rights policies index. Analyses were conducted between 2019 and 2020.

Compared with women in states with the most restrictive reproductive rights policies, women living in the least restrictive states had a 7% lower low birth weight risk (adjusted RR=0.93, 95% CI=0.88, 0.99). In particular, low birth weight risk was 8% lower among Black women living in the least restrictive states than among their counterparts living in the most restrictive states (adjusted RR=0.92, 95% CI=0.86, 0.99). selleckchem In addition, low birth weight risk was 6% lower among U.S.-born Black women living in the least restrictive states than among those living in the most restrictive states, but this was marginally significant (adjusted RR=0.94, 95% CI=0.89, 1.00). No other significant associations were found for race-nativity-stratified models.

Women living in states with fewer restrictions related to reproductive rights have lower rates of low birth weight, especially for Black women.
Women living in states with fewer restrictions related to reproductive rights have lower rates of low birth weight, especially for Black women.
Emergency departments (EDs) are faced with a growing number of patients with traumatic brain injury (TBI) using direct oral anticoagulants (DOACs). However, there remains uncertainty about the bleeding risk, rate of hematoma expansion, and the efficacy of reversal strategies in these patients.

This study aims to identify the risk of traumatic hemorrhagic complications in patients with TBI using DOACs.

In this retrospective study we included patients with TBI. All TBI patients were using DOACs, attended one of the three EDs of our hospital between January 2016 and October 2019, and received a computed tomography (CT) scan of the brain. The primary outcome was any traumatic intracranial hemorrhage on CT. Secondary outcomes were the use of reversal agents, secondary neurological deterioration, a neurosurgical intervention within 30days after the injury, length of stay (LOS), Glasgow Outcome Scale (GOS) at discharge, and mortality.

Of the included patients (N=316), 24 patients (7.6%, 95% confidence intervre of the present study, future prospective trials are needed to confirm this finding.
The study aim was to develop a model for predicting patients with emergency medical service (EMS) witnessed out-of-hospital cardiac arrest (OHCA).

We used fire-based EMS data from Taipei city to develop the prediction model. Patients included in this study were those who were initially alive, non-traumatic, and age ≧20 years. Data were extracted from electronic records of ambulance run sheets and an Utstein-style OHCA registry. The primary outcome (EMS-witnessed OHCA) was defined as cardiac arrest occurring during the service of emergency medical technicians before arrival at a receiving hospital. Area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow (HL) test were used to examine discrimination and calibration. The point value system with Youden's J Index was used to find the optimal cut-off value.

From 2011 to 2015, a total of 252,771 patients were included. Of them, 660 (0.26%) were EMS-witnessed OHCA. The model, including the predictors of male gender, respiratory rate≦10 cycles/min, heart rate <60 or ≧120 beats/min, systolic blood pressure <100mmHg, level of consciousness, and oxygen saturation <94%, reached excellent discrimination with an AUROC of 0.94 [95% confidence interval (CI), 0.93-0.95] and excellent calibration (p=0.42 for HL test) in a randomly selected derivation cohort. The results were comparable to those found in a validation cohort. The optimal cut-off value (≧13) of the tool demonstrated high sensitivity (87.84%) and specificity (86.20%).

This newly developed prediction model will help identify high-risk patients with EMS-witnessed OHCA.
This newly developed prediction model will help identify high-risk patients with EMS-witnessed OHCA.
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