Predictive Ability of the Braden QD Scale for Hospital-Acquired Venous Thromboembolism in Hospitalized Children.

Purpose: Hospital-acquired venous thromboembolisms (HA-VTEs) are increasingly common in pediatric inpatients and associated with significant morbidity and cost. The Braden QD Scale was created to predict the risk of hospital-acquired pressure injury (HAPI) and is used broadly in children's hospitals. This study evaluated the ability of the Braden QD Total score to predict risk of HA-VTE at a quaternary children's hospital.

Patients' Perceptions of Integrated Care Among Medicare Beneficiaries by Level of Need for Health Services.

Requirements for integrating care across providers, settings, and over time increase with patients' needs. Health care providers' ability to offer care that patients experience as integrated may vary among patients with different levels of need. We explore the variation in patients' perceptions of integrated care among Medicare beneficiaries based on the beneficiary's level of need using ordinary least square regression for each of four high-need groups: beneficiaries (a) with complex chronic conditions, (b) with frailties, (c) below 65 with disability, and (d) with any (of the first three) high needs.

Differences in patient perceptions of integrated care among black, hispanic, and white Medicare beneficiaries.

Objective: This study sought to identify potential disparities among racial/ethnic groups in patient perceptions of integrated care (PPIC) and to explore how methodological differences may influence measured disparities.

Data Source: Data from Medicare beneficiaries who completed the 2015 Medicare Current Beneficiary Survey (MCBS) and were enrolled in Part A benefits for an entire year.

Study Design: We used 4-point measures of eight dimensions of PPIC and assessed differences in dimensions among racial/ethnic groups.

Neuromuscular diseases associated with Human Immunodeficiency Virus infection.

From the most common distal symmetric polyneuropathy (Bilgrami and O'Keefe, 2014) to the rare motor neuron diseases, HIV infection is associated with pathology at all levels of the peripheral nervous system. HIV infection can cause these conditions due to viral exposure itself, the resulting immune dysregulation, opportunistic infections found in untreated patients, and from the therapy used in treatment of the virus. Before the advent of antiretroviral therapy, 5 neuromuscular diseases associated with HIV often resulted from opportunistic infections.

Detection of Velocity and Diffusion Coefficient Change Points in Single-Particle Trajectories.

The position-time trajectory of a biological subject moving in a complex environment contains rich information about how it interacts with the local setting. Whether the subject be an animal or an intracellular endosomal vesicle, the two primary modes of biological locomotion are directional movement and random walk, respectively characterized by velocity and diffusion coefficient. This contribution introduces a method to quantitatively divide a single-particle trajectory into segments that exhibit changes in the diffusion coefficient, velocity, or both.

Parallelization of Change Point Detection.

The change point detection method ( Watkins , L. P. ; Yang , H.

Autoregressive and iterative hidden Markov models for periodicity detection and solenoid structure recognition in protein sequences.

Traditional signal processing methods cannot detect interspersed repeats and generally cannot handle nonstationary signals. In this paper, we propose a new method for periodicity detection in protein sequences to locate interspersed repeats. We first apply the autoregressive model with a sliding window to find possible repeating subsequences within a protein sequence.

Selection and mapping of DNA structural features for short gene recognition.

This paper presents two new approaches for short gene recognition in DNA sequences. Three of fourteen DNA structural features are selected based on their classification power by a modified auto-regressive model method. Experiments on human genome show that the method is superior to existing exon detection algorithms.