Lincoln Hospital

About: Lincoln Hospital is a healthcare organization based out in New York, New York, United States. It is known for research contribution in the topics: Population & Emergency department. The organization has 1033 authors who have published 929 publications receiving 14486 citations. The organization is also known as: Lincoln Medical and Mental Health Center & Lincoln Hospital.

Forecasting Hourly Emergency Department Arrival Using Time Series Analysis

Abstract: Background/Aims The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital’s emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients. Methods Emergency department admission data from January 2014 to August 2017 was retrieved from a hospital in Iowa. The auto-regressive integrated moving average (ARIMA), Holt–Winters, TBATS, and neural network methods were implemented and compared as forecasters of hourly patient arrivals. Results The auto-regressive integrated moving average (3,0,0) (2,1,0) was selected as the best fit model, with minimum Akaike information criterion and Schwartz Bayesian criterion. The model was stationary and qualified under the Box–Ljung correlation test and the Jarque–Bera test for normality. The mean error and root mean square error were selected as performance measures. A mean error of 1.001 and a root mean square error of 1.55 were obtained. Conclusions The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.

Brain Imaging Techniques: Improving the Quality

Abstract: Image quality is a factor of the utmost importance in nuclear medicine. Regardless of what type of scan is being done, technologists should be diligent in how images are being acquired. With respect to brain imaging, there can be challenges that the technologist must understand how to navigate and overcome. This continuing education article, focusing mainly on brain SPECT (particularly with 123I-ioflupane) and brain 18F-FDG PET/CT, will help technologists better understand how artifacts occur and how imaging techniques can affect image quality.

Sex-specific influence of the vacuolar adenosine triphosphatase a2 isoform on outcome in twin pregnancies.

Abstract: Problem The influence of fetal sex on immune responses in multifetal pregnancies remains incompletely elucidated. The a2 isoform of vacuolar adenosine triphosphatase (a2V) is expressed on the cell membrane of maternal lymphoid cells and contributes to down-regulation of pro-inflammatory immune responses during gestation. The association between fetal sex and a2V expression on peripheral blood mononuclear cells (PBMCs) from mothers with twin gestations was assessed. Method of study Patients in this prospective study were 93 women with twin pregnancies in their mid-second or early third trimester-27 with two male, 30 with two female and 36 with one male and one female fetus. PBMCs were isolated and a2V was measured by ELISA in cell lysates. Demographic and clinical data were subsequently obtained and correlations between a2V and fetal sex, birthweight and pregnancy outcome were assessed by the Mann-Whitney and Spearman rank correlation tests. Results The mean a2V level was highest when both fetuses were male (2.0 ng/mL) and lowest when both were female (1.5 ng/mL; P = 0.0184). Only when both fetuses were female did the a2V concentration negatively correlate with birthweight of the 1st (P = 0.0011) and 2nd (P = 0.0044) born fetus and with gestational age at delivery (P = 0.0018). There were no associations between a2V and these outcomes in male only or mixed twin pregnancies. Conclusion We conclude that the a2V-mediated regulation of maternal immunity during twin pregnancies is influenced by fetal sex.