Rationale: Hypercapnia develops in one third of patients with advanced chronic obstructive pulmonary disease (COPD) and is associated with increased morbidity and mortality. Multiple factors in COPD are thought to contribute to the development of hypercapnia including increased carbon dioxide (CO) production, increased dead space ventilation, and the complex interactions of deranged respiratory system mechanics, inspiratory muscle overload and the ventilatory control center in the brainstem. However, these factors have not previously been systematically analyzed in a large, well-characterized population of severe COPD patients.
View Article and Find Full Text PDFBackground: Chronic hypersensitivity pneumonitis (cHP) is a disease caused by exposure to inhaled environmental antigens. Diagnosis of cHP is influenced by the awareness of the disease prevalence, which varies significantly in different regions, and how clinicians utilize relevant clinical information. We conducted a retrospective study to evaluate how clinicians in the Southeast United States, where the climate is humid favoring mold growth, diagnosed cHP using items identified in the international modified Delphi survey of experts, i.
View Article and Find Full Text PDFCOPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision support tools. In this study, we present a machine learning-based strategy for early detection of exacerbations and subsequent triage. Our application uses physician opinion in a statistically and clinically comprehensive set of patient cases to train a supervised prediction algorithm.
View Article and Find Full Text PDFPurpose: Routinely collected patient-reported outcomes (PROs) could provide invaluable data to a patient-centered learning health system but are often highly missing in clinical trials. We analyzed our experience with PROs to understand patterns of missing data using electronic collection as part of routine clinical care.
Methods: This is an analysis of a prospectively collected observational database of electronic PROs captured as part of routine clinical care in four different outpatient oncology clinics at an academic referral center.
Context: In the emerging Learning Health System (LHS), the application and generation of medical knowledge are a natural outgrowth of patient care. Achieving this ideal requires a physician workforce adept in information systems, quality improvement methods, and systems-based practice to be able to use existing data to inform future care. These skills are not currently taught in medical school or graduate medical education.
View Article and Find Full Text PDFContext: Quality metrics for intensive care unit (ICU)-based palliative care have been proposed, but it is unknown how consultative palliative care can contribute to performance on these measures.
Objectives: Assess adherence to proposed quality metrics of ICU-based palliative care by palliative care specialists.
Methods: Surrogates for 9/14 patient-level quality metrics were assessed in all patients who received an initial palliative care specialist consult while in an ICU from 10/26/2012 to 1/16/2015 in the Global Palliative Care Quality Alliance, a nationwide palliative care quality registry.
Objective: Addressing the quality gap in ICU-based palliative care is limited by uncertainty about acceptable models of collaborative specialist and generalist care. Therefore, we characterized the attitudes of physicians and nurses about palliative care delivery in an ICU environment.
Design: Mixed-methods study.
Background: Web-based electronic patient-reported outcomes (ePRO) measures are increasingly used to facilitate patient-centered health assessments. However, it is unknown if ePRO completion is feasible for recently ill intensive care unit (ICU) survivors and their families.
Objective: To develop and evaluate the usability of a novel ePRO system (ePRO to Support People and Enhance Recovery [ePROSPER]) among ICU survivors and their families within an ongoing clinical trial.
Rationale: Advanced fibrosing interstitial lung disease (ILD) is often progressive and associated with a high burden of symptoms and poor prognosis. Little is known about the symptom prevalence and access to palliative care services at end of life (EOL).
Objectives: Compare prevalence of symptoms and palliative treatments between patients dying with oxygen-dependent ILD and patients dying of lung cancer.
Rationale: A growing evidence base supports provision of palliative care services alongside life-prolonging care. Whereas palliative care processes have been implemented widely in the care of patients with lung cancer, the same is not true for patients with chronic, progressive lung disease.
Objectives: To compare the symptom burden of chronic lung disease with that of lung cancer at the time of initial palliative care consultation.
Context: Measurement of dyspnea is important for clinical care and research.
Objectives: To characterize the relationship between the 0-10 Numerical Rating Scale (NRS) and four-level categorical Verbal Descriptor Scale (VDS) for dyspnea assessment.
Methods: This was a substudy of a double-blind randomized controlled trial comparing palliative oxygen to room air for relief of refractory breathlessness in patients with life-limiting illness.
Background: Web-based decision aids are increasingly important in medical research and clinical care. However, few have been studied in an intensive care unit setting. The objectives of this study were to develop a Web-based decision aid for family members of patients receiving prolonged mechanical ventilation and to evaluate its usability and acceptability.
View Article and Find Full Text PDFPurpose Of Review: Prediction models in critical illness are generally limited to short-term mortality and uncommonly include patient-centered outcomes. Current outcome prediction tools are also insensitive to individual context or evolution in healthcare practice, potentially limiting their value over time. Improved prognostication of patient-centered outcomes in critical illness could enhance decision-making quality in the ICU.
View Article and Find Full Text PDFPurpose: Communication in the intensive care unit (ICU) is an important component of quality ICU care. In this report, we evaluate the long-term effects of a quality improvement (QI) initiative, based on the VALUE communication strategy, designed to improve communication with family members of critically ill patients.
Materials And Methods: We implemented a multifaceted intervention to improve communication in the ICU and measured processes of care.
We report a case of Cryptococcus neoformans pneumonia in a patient taking ruxolitinib, a janus kinase 1,2 inhibitor approved for the treatment of myelofibrosis. We hypothesize that ruxolitinib contributed to this infection through its effects on cell-mediated immunity. Clinicians should be aware of the potential for intracellular or opportunistic infections associated with this novel drug class.
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