Racial disparities in inpatient palliative care consultation among frail older patients undergoing high-risk elective surgical procedures in the United States: a cross-sectional study of the national inpatient sample.

Surgical interventions are common among seriously ill older patients, with nearly one-third of older Americans facing surgery in their last year of life. Despite the potential benefits of palliative care among older surgical patients undergoing high-risk surgical procedures, palliative care in this population is underutilized and little is known about potential disparities by race/ethnicity and how frailty my affect such disparities. The aim of this study was to examine disparities in palliative care consultations by race/ethnicity and assess whether patients' frailty moderated this association.

Professionalism of Admitting and Consulting Services and Trauma Patient Outcomes.

Objective: To determine whether trauma patients managed by an admitting or consulting service with a high proportion of physicians exhibiting patterns of unprofessional behaviors are at greater risk of complications or death.

Summary Background Data: Trauma care requires high-functioning interdisciplinary teams where professionalism, particularly modeling respect and communicating effectively, is essential.

Methods: This retrospective cohort study used data from 9 level I trauma centers that participated in a national trauma registry linked with data from a national database of unsolicited patient complaints.

Intercostal nerve cryoablation during surgical stabilization of rib fractures.

Background: Intercostal nerve cryoablation (IC) offers potential for targeted and durable analgesia for patients with traumatic rib fractures. Our pilot study aimed to investigate thoracoscopic IC's safety, feasibility, and preliminary efficacy for patients undergoing surgical stabilization of rib fractures (SSRF). We hypothesized that concurrent surgical stabilization of rib fractures and intercostal nerve cryoablation (SSRF-IC) is a safe and feasible procedure without immediate or long-term complications.

Implementing a Standardized Nurse-driven Rounding Protocol in a Trauma-surgical Intensive Care Unit: A Single Institution Experience.

Introduction Patient care in the trauma-surgical intensive care unit (SICU) requires trust and effective communication between nurses and physicians. Our SICU suffered from poor communication and trust between nurses and physicians, negatively impacting the working environment and, potentially, patient care. Methods A SICU Task Force studied communication practices and identified areas for improvement, leading to several interventions.

The Association of ICU Acuity With Outcomes of Patients at Low Risk of Dying.

Objective: Many ICU patients do not require critical care interventions. Whether aggressive care environments increase risks to low-acuity patients is unknown. We evaluated whether ICU acuity was associated with outcomes of low mortality-risk patients.

Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach.

Objectives: Identifying subgroups of ICU patients with similar clinical needs and trajectories may provide a framework for more efficient ICU care through the design of care platforms tailored around patients' shared needs. However, objective methods for identifying these ICU patient subgroups are lacking. We used a machine learning approach to empirically identify ICU patient subgroups through clustering analysis and evaluate whether these groups might represent appropriate targets for care redesign efforts.

Detecting organisational innovations leading to improved ICU outcomes: a protocol for a double-blinded national positive deviance study of critical care delivery.

Introduction: There is substantial variability in intensive care unit (ICU) utilisation and quality of care. However, the factors that drive this variation are poorly understood. This study uses a novel adaptation of positive deviance approach-a methodology used in public health that assumes solutions to challenges already exist within the system to detect innovations that are likely to improve intensive care.

Priority queuing models for hospital intensive care units and impacts to severe case patients.

This paper examines several different queuing models for intensive care units (ICU) and the effects on wait times, utilization, return rates, mortalities, and number of patients served. Five separate intensive care units at an urban hospital are analyzed and distributions are fitted for arrivals and service durations. A system-based simulation model is built to capture all possible cases of patient flow after ICU admission.