Assessing the role of chest CT in minor blunt trauma: evaluation of the NEXUS decision instrument across an expanded population.

Objective: To evaluate the NEXUS Chest CT ALL decision instrument (DI) in reducing unnecessary chest CT imaging in minor blunt trauma patients while preserving high sensitivity for detecting clinically meaningful injuries. Additionally, we examined the impact of delayed presentation, chronic disease, and anticoagulation/anti-aggregation medications on trauma outcomes.

Methods: This retrospective study included 853 adult minor blunt trauma patients who underwent chest CT in the emergency department (ED) of Tel-Aviv Sourasky Medical Center between 2018 and 2022.

Management of infants presenting with fever: a review of pan-London hospital guidelines and national guidelines.

Febrile infants often have self-limiting conditions. Differentiating them from infants with serious bacterial infections can be challenging. We aimed to understand how febrile infants are managed across London, by analysing the management steps from local clinical practical guidelines (CPGs) and comparing them to the national guideline 143 (NG143).

Surgical Morbidity following Planned Hysterectomy versus Conservative Management for Placenta Accreta Spectrum: A Systematic Review and Meta-analysis.

Objective:  In recent years, the management of placenta accreta spectrum (PAS) has fallen into two categories: planned hysterectomy and conservative management to preserve fertility. However, optimal management remains unclear. Therefore, we conducted a systematic review and meta-analysis comparing the two to evaluate which approach was associated with lower surgical morbidity.

Machine Learning for the Prediction of Surgical Morbidity in Placenta Accreta Spectrum.

Objective:  We sought to create a machine learning (ML) model to identify variables that would aid in the prediction of surgical morbidity in cases of placenta accreta spectrum (PAS).

Study Design:  A multicenter analysis including all cases of PAS identified by pathology specimen confirmation, across five tertiary care perinatal centers in New York City from 2013 to 2022. We developed models to predict operative morbidity using 213 variables including demographics, obstetrical information, and limited prenatal imaging findings detailing placental location.

Use of natural language processing to uncover racial bias in obstetrical documentation.

Natural Language Processing (NLP), a form of Artificial Intelligence, allows free-text based clinical documentation to be integrated in ways that facilitate data analysis, data interpretation and formation of individualized medical and obstetrical care. In this cross-sectional study, we identified all births during the study period carrying the radiology-confirmed diagnosis of fibroid uterus in pregnancy (defined as size of largest diameter of >5 cm) by using an NLP platform and compared it to non-NLP derived data using ICD10 codes of the same diagnosis. We then compared the two sets of data and stratified documentation gaps by race.

Predictors for Dental Intervention in Children After Dental Injury: A Retrospective Analysis and Literature Review.

Objective: This study aimed to explore risk factors for dental intervention in patients presenting to the pediatric emergency department (PED) after dental injury.

Methods: We retrospectively explored patients aged 0 to 18 years who presented to our PED between 2017 and 2021 after dental injury.

Results: Of the total of 830 patients (mean age 7.

Image-Based Deep Learning Detection of High-Grade B-Cell Lymphomas Directly from Hematoxylin and Eosin Images.

Deep learning applications are emerging as promising new tools that can support the diagnosis and classification of different cancer types. While such solutions hold great potential for hematological malignancies, there have been limited studies describing the use of such applications in this field. The rapid diagnosis of double/triple-hit lymphomas (DHLs/THLs) involving , and/or rearrangements is obligatory for optimal patient care.

The case for making the first-trimester anatomical survey a standard of care post Dobbs.

Currently, 11- to 14-week-detailed anatomic surveys are generally reserved for at-risk populations because of the lower incidence of major fetal anomalies in low-risk populations. Until recently, such standard reflects, in part, the fact that pregnant persons retain the option of abortion even if the initial anatomy scan was in the second trimester of pregnancy. However, on June 24, 2022, the US Supreme Court overturned Roe, and many states subsequently lowered the gestational age at which abortions can legally be performed.

"I don't know how we would have coped without it." Understanding the Importance of a Virtual Hospital Visiting Program During the COVID-19 Pandemic.

As the COVID-19 pandemic reached Canada in full strength, the concept of allowing visiting to patients became an impossibility in most healthcare organizations. In March 2020, hospitals across Canada made the decision to close to visitors. This was a complicated decision which left admitted patients with very little option for connecting with family and friends other than through the telephone.

Use of Machine Learning to Identify Clinical Variables in Pregnant and Non-Pregnant Women with SARS-CoV-2 Infection.

Objective: The aim of the study is to identify the important clinical variables found in both pregnant and non-pregnant women who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, using an artificial intelligence (AI) platform.

Methods: This was a retrospective cohort study of all women between the ages of 18 to 45, who were admitted to Maimonides Medical Center between March 10, 2020 and December 20, 2021. Patients were included if they had nasopharyngeal PCR swab positive for SARS-CoV-2.

BNT162b2 mRNA COVID-19 vaccine booster induces seroconversion in patients with B-cell non-Hodgkin lymphoma who failed to respond to two prior vaccine doses.

This prospective study evaluated seroconversion rates in response to BNT162b2 (Pfizer-BioNTech) COVID-19 vaccine booster in 44 B-cell non-Hodgkin lymphoma (B-NHL) patients who failed to respond to two prior doses [42 previously exposed to anti-CD20 monoclonal antibodies (moAbs) including 13 under maintenance treatment]. Seroconversion was obtained in 29.5% of the patients.

Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model.

The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions of this model, using different hypotheses about the data, constraints on the parameters, and appropriate methods have led to improvements in the model's fit to historical data and the model's forecasting of the future. This paper's main objective is to evaluate if differences between models are reflected in different mortality indicators' forecasts.

A Novel and Precise Profiling Tool to Predict Gestational Diabetes.

Background: There is a trend in healthcare for developing models for predictions of disease to enable early intervention and improve outcome.

Instrument: We present the use of artificial intelligence algorithms that were developed by Gynisus Ltd. using mathematical algorithms.

The Relationship between Status at Presentation and Outcomes among Pregnant Women with COVID-19.

Objective: This study was aimed to compare maternal and pregnancy outcomes of symptomatic and asymptomatic pregnant women with novel coronavirus disease 2019 (COVID-19).

Study Design: This is a retrospective cohort study of pregnant women with COVID-19. Pregnant women were divided into two groups based on status at admission, symptomatic or asymptomatic.

Caring for Pregnant Patients with COVID-19: Practical Tips Getting from Policy to Practice.

Novel coronavirus disease 2019 (COVID-19) is a pandemic with most American cases in New York. As an institution residing in a high-prevalence zip code, with over 8,000 births annually, we have cared for over 80 COVID-19-infected pregnant women, and have encountered many challenges in applying new national standards for care. In this article, we review how to change outpatient and inpatient practices, develop, and disseminate new hospital protocols, and we highlight the psychosocial challenges for pregnant patients and their providers.

The effect of maternal position on fetal middle cerebral artery Doppler indices and its association with adverse perinatal outcomes: a pilot study.

Objective The aim of this study was to compare position-related changes in fetal middle cerebral artery (MCA) Doppler pulsatility indices (PI). Methods A prospective study of 41 women with conditions associated with placental-pathology (chronic hypertension, pregestational diabetes, and abnormal analytes) and 34 women without those conditions was carried out. Fetal MCA Doppler velocity flow waveforms were obtained in maternal supine and left lateral decubitus positions.

A Novel Partogram for Stages 1 and 2 of Labor Based on Fetal Head Station Measured by Ultrasound: A Prospective Multicenter Cohort Study.

Objective: This study was aimed to describe continuous labor curves, including second stage, based on fetal head station.

Study Design: We performed a prospective multicenter cohort study. The inclusion criteria were women with singleton uncomplicated cephalic term pregnancies in labor, who delivered vaginally.

Predicting Preeclampsia with Noninvasive Measures of Endothelial Dysfunction: A Pilot Study.

 This study evaluates the assessment of endothelial function and its prediction for preeclampsia among women with high-risk factors.  A prospective cohort study of 107 pregnant women at 20 weeks or greater gestation with risk factors for developing preeclampsia. Endothelial dysfunction was assessed using peripheral arterial tonometry by generating a reactive hyperemia index (RHI) score.

Penalized Best Linear Prediction of True Test Scores.

In best linear prediction (BLP), a true test score is predicted by observed item scores and by ancillary test data. If the use of BLP rather than a more direct estimate of a true score has disparate impact for different demographic groups, then a fairness issue arises. To improve population invariance but to preserve much of the efficiency of BLP, a modified approach, penalized best linear prediction, is proposed that weights both mean square error of prediction and a quadratic measure of subgroup biases.

Same-day confirmation of intrauterine pregnancy failure in women with first- and early second-trimester bleeding.

Objective: To determine if alpha-fetoprotein (AFP) concentration in vaginal blood, in the setting of dissolved fetal tissue, is significantly higher than its concentration in the maternal serum.

Design: A prospective cohort study.

Setting: Medical center.