State of the Interactomes: an evaluation of molecular networks for generating biological insights.

Advancements in genomic and proteomic technologies have powered the use of gene and protein networks ("interactomes") for understanding genotype-phenotype translation. However, the proliferation of interactomes complicates the selection of networks for specific applications. Here, we present a comprehensive evaluation of 46 current human interactomes, encompassing protein-protein interactions as well as gene regulatory, signaling, colocalization, and genetic interaction networks. Our analysis shows that large composite networks such as HumanNet, STRING, and FunCoup are most effective for identifying disease genes, while smaller networks such as DIP and SIGNOR demonstrate strong interaction prediction performance. These findings provide a benchmark for interactomes across diverse network biology applications and clarify factors that influence network performance. Furthermore, our evaluation pipeline paves the way for continued assessment of emerging and updated interaction networks in the future.

Developing a smartphone app to support the nursing community.

Healthcare professionals are turning increasingly to the digital sector to access information they need for their work. Mobile technology, such as smartphones and tablets, provides a unique opportunity to place high-quality information directly into users' hands. This article describes the ongoing development of a smartphone app, Preparing for Caring, designed to prepare the future workforce by enabling mentors and nursing students to access supportive material during practice-based learning episodes. The article explores the rationale for designing the app and discusses the challenges and benefits of developing this resource from the perspectives of student, mentor and healthcare manager.

Readmissions after major cancer surgery among older adults.

BACKGROUND: Decreasing readmissions has become a focus of emerging efforts to improve the quality and affordability of health care. However, little is known about reasons for readmissions after major cancer surgery in the expanding elderly population (≥65 years) who are also at increased risk of adverse operative events. We sought to identify (1) the extent to which older age impacts readmissions and (2) factors predictive of 30- and 90-day readmissions after major cancer surgery among older adults. METHODS: We identified 2,797 older adults who underwent 1 of 7 types of major thoracic or abdominopelvic cancer surgery within a large multihospital system from 2003 to 2012. Multivariate logistic regression analyses were conducted to identify predictors of 30- and 90-day readmission controlling for covariates. RESULTS: Overall 30- and 90-day readmission rates were 16% and 24% with the majority of readmissions occurring within 15-days of discharge. Principal diagnoses of 30-day readmissions included gastrointestinal, pulmonary, and infections complications. The 30-day readmissions were associated with >2 comorbid conditions and ≥2 postoperative complications. Readmissions varied significantly according to cancer surgery type and across treating hospitals. Readmissions did not vary by increasing age. Factors associated with 90-day readmission were comparable to those observed at 30 days. CONCLUSION: In this large, multihospital study of older adults, multiple morbidities, procedure type, greater number of complications, and the treating hospital predicted 30- and 90-day readmissions. These findings point toward the potential impact of hospital-level factors behind readmission. Our results also heighten the importance of assessing the influence of readmission on other important cancer care metrics, namely, patient-reported outcomes and the completion of adjuvant systemic therapies.