Abstract MP33: Cardiac Structure And Function Phenogroups And Risk Of Incident Heart Failure: Multi-ethnic Study Of Atherosclerosis

Introduction: Indices of cardiac structure and function, such as left ventricular (LV) mass and ejection fraction (EF), have individually been associated with development of incident heart failure (HF). Identifying HF risk groups (or phenogroups) based on imaging parameters may help inform distinct imaging phenotypes to target for prevention.

Objectives: To identify phenogroups based on cardiovascular magnetic resonance imaging (cMRI) parameters in participants free of cardiovascular disease at baseline and examine longitudinal risk of incident HF.

Methods: We included participants from the Multi-Ethnic Study of Atherosclerosis (MESA) who had completed baseline cMRI between 2000 and 2002. We applied latent class analysis to define phenogroups based on cMRI parameters of right ventricular and LV structure and function (including circumferential strain) at baseline (using the Bayesian Information Criterion as well as visual inspection). We used Cox-proportional hazard models to assess the association between membership in a phenogroup and risk of incident HF adjusted for age, sex, race, hypertension, diabetes, and hyperlipidemia.

Results: Of 1484 participants, 48% were female and mean age was 65 (10) years. Over a median follow-up of 13 years, a total of 91 incident HF events occurred. We identified 3 distinct phenogroups that differed in terms of cardiac structure and function. Adjusted hazards ratio (95% confidence interval) for incident HF was higher among participants in Group 3 (2.08 [1.17, 3.71]) and Group 2 (2.24 [1.15, 4.37]), compared with Group 1 as the referent ( Table ).

Conclusion: Phenogroups based on cMRI were differentially associated with risk of HF. Classification of cardiovascular imaging phenogroups integrating traditional and strain parameters within the normal range may be useful in identifying risk for HF; further validation is required before implementation.

In search of common ground in handoff documentation in an Intensive Care Unit

OBJECTIVE

Handoff is an intra-disciplinary process, yet the flow of critical handoff information spans multiple disciplines. Understanding this information flow is important for the development of computer-based tools that supports the communication and coordination of patient care in a multi-disciplinary and highly specialized critical care setting. We aimed to understand the structure, functionality, and content of nurses' and physicians' handoff artifacts.

DESIGN

We analyzed 22 nurses' and physicians' handoff artifacts from a Cardiothoracic Intensive Care Unit (CTICU) at a large urban medical center. We combined artifact analysis with semantic coding based on our published Interdisciplinary Handoff Information Coding (IHIC) framework for a novel two-step data analysis approach.

RESULTS

We found a high degree of structure and overlap in the content of nursing and physician artifacts. Our findings demonstrated a non-technical, yet sophisticated, system with a high degree of structure for the organization and communication of patient data that functions to coordinate the work of multiple disciplines in a highly specialized unit of patient care.

LIMITATIONS

This study took place in one CTICU. Further work is needed to determine the generalizability of the results.

CONCLUSIONS

Our findings indicate that the development of semi-structured patient-centered interdisciplinary handoff tools with discipline specific views customized for specialty settings may effectively support handoff communication and patient safety.