Implementation of pharmacogenomics into inpatient general medicine.

Pharmacogenomics is a crucial piece of personalized medicine. Preemptive pharmacogenomic testing is only used sparsely in the inpatient setting and there are few models to date for fostering the adoption of pharmacogenomic treatment in the inpatient setting. We created a multi-institutional project in Chicago to enable the translation of pharmacogenomics into inpatient practice. We are reporting our implementation process and barriers we encountered with solutions. This study, 'Implementation of Point-of-Care Pharmacogenomic Decision Support Accounting for Minority Disparities', sought to implement pharmacogenomics into inpatient practice at three sites: The University of Chicago, Northwestern Memorial Hospital, and the University of Illinois at Chicago. This study involved enrolling African American adult patients for preemptive genotyping across a panel of actionable germline variants predicting drug response or toxicity risk. We report our approach to implementation and the barriers we encountered engaging hospitalists and general medical providers in the inpatient pharmacogenomic intervention. Our strategies included: a streamlined delivery system for pharmacogenomic information, attendance at hospital medicine section meetings, use of physician and pharmacist champions, focus on hospitalists' care and optimizing system function to fit their workflow, hand-offs, and dealing with hospitalists turnover. Our work provides insights into strategies for the initial engagement of inpatient general medicine providers that we hope will benefit other institutions seeking to implement pharmacogenomics in the inpatient setting.

The Impact of Principal Diagnosis on Readmission Risk among Patients Hospitalized for Community-Acquired Pneumonia.

Coding variation distorts performance/outcome statistics not eliminated by risk adjustment. Among 1596 community-acquired pneumonia patients hospitalized from 1998 to 2012 identified using an evidence-based algorithm, the authors measured the association of principal diagnosis (PD) with 30-day readmission, stratified by Pneumonia Severity Index risk class. The 152 readmitted patients were more ill (Pneumonia Severity Index class V 38.8% versus 25.8%) and less likely to have a pneumonia PD (52.6% versus 69.9%). Among patients with PDs of pneumonia, respiratory failure, sepsis, and aspiration, mortality/readmission rates were 3.9/8.5%, 28.8/14.0%, 24.7/19.6%, and 9.0/15.0%, respectively. The nonpneumonia PDs were associated with a greater risk of adjusted 30-day readmission: respiratory failure odds ratio (OR) 1.89 (95% confidence interval [CI], 1.13-3.15), sepsis OR 2.54 (95% CI, 1.52-4.26), and possibly aspiration OR 1.73 (95% CI, 0.88-3.41). With increasing use of alternative PDs among pneumonia patients, quality reporting must account for variations in condition coding practices. Rigorous risk adjustment does not eliminate the need for accurate, consistent case definition in producing valid quality measures.

Applicability of Pharmacogenomically Guided Medication Treatment during Hospitalization of At-Risk Minority Patients.

Known disparities exist in the availability of pharmacogenomic information for minority populations, amplifying uncertainty around clinical utility for these groups. We conducted a multi-site inpatient pharmacogenomic implementation program among self-identified African-Americans (AA; n = 135) with numerous rehospitalizations (n = 341) from 2017 to 2020 (NIH-funded ACCOuNT project/clinicaltrials.gov#NCT03225820). We evaluated the point-of-care availability of patient pharmacogenomic results to healthcare providers via an electronic clinical decision support tool. Among newly added medications during hospitalizations and at discharge, we examined the most frequently utilized medications with associated pharmacogenomic results. The population was predominantly female (61%) with a mean age of 53 years (range 19-86). On average, six medications were newly prescribed during each individual hospital admission. For 48% of all hospitalizations, clinical pharmacogenomic information was applicable to at least one newly prescribed medication. Most results indicated genomic favorability, although nearly 29% of newly prescribed medications indicated increased genomic caution (increase in toxicity risk/suboptimal response). More than one of every five medications prescribed to AA patients at hospital discharge were associated with cautionary pharmacogenomic results (most commonly pantoprazole/suboptimal antacid effect). Notably, high-risk pharmacogenomic results (genomic contraindication) were exceedingly rare. We conclude that the applicability of pharmacogenomic information during hospitalizations for vulnerable populations at-risk for experiencing health disparities is substantial and warrants continued prospective investigation.

Paradoxical doppler echocardiographic parameters during recovery of left atrial contractility after spontaneous conversion from paroxysmal atrial fibrillation to sinus rhythm.

Paroxysmal atrial fibrillation (PAF) reduces atrial contractility due to atrial remodeling, but little is known about the process by which contractile function is reconstituted after spontaneous conversion to sinus rhythm (SR). A 63-year-old healthy man developed PAF. PAF persisted for 2 days before spontaneous conversion to SR. Serial echocardiograms were performed at 1, 24 h, 3/4/7 days after conversion. Longitudinal myocardial strain during the pump phase of the left atrium (LA) was generally reduced at 1 h. Normal strain of the LA was restored at 3 days with the exception of the lateral wall, where restoration was delayed until 4 days. The ratio between the mitral early and atrial diastolic velocities (E/A) at 24 h was within a pseudonormal range at 1.8, but the ratio between E and early mitral annulus velocity (e': E/e') remained normal. The E/A ratio gradually decreased until 7 days post conversion, but the E/e' ratio remained normal throughout the observation period.

Association of Preferences for Participation in Decision-making With Care Satisfaction Among Hospitalized Patients.

Importance: The association of patient desire to participate in health care decisions with care satisfaction is poorly understood. The contributions of such desire, expectations of care, and quality of care in assessing patient satisfaction are not known. Objective: To investigate the association of hospitalized patients' desire to delegate decisions to their physician with care dissatisfaction. Design, Setting, and Participants: Survey study in an academic research setting. As part of The University of Chicago Hospitalist Study, data were collected on 13 902 hospitalized patients admitted to the general internal medicine service of The University of Chicago Medical Center between July 1, 2004, and September 30, 2012, who answered an inpatient survey administered soon after the time of admission and a 30-day follow-up survey. The dates of analysis were January 2014 to June 2015. Exposure: Patient-reported preference to leave medical decisions to their physician (definitely agree or somewhat agree vs somewhat disagree or definitely disagree). Main Outcomes and Measures: The main outcomes were patient-reported dissatisfaction with overall service, dissatisfaction with physician care, and lack of confidence and trust in the physicians providing treatment, which were obtained from the 30-day follow-up survey. Results: The sample population included 13 902 patients (mean [SD] age, 56.7 [19.1] years; 60.4% female [n = 8397] and 74.2% African American [n = 10 310]) who completed both surveys. Overall, 53.2% had no higher educational attainment, 22.7% were insured by Medicaid, and 51.1% reported a general self-assessed health status of fair or poor. The proportions of respondents who agreed and disagreed with delegating decisions to the responsible physician were 71.1% and 28.9%, respectively. A statistically significantly higher proportion of those who agreed rated their overall care as excellent or very good compared with those who disagreed (68.0% vs 62.5%; P < .001). Similarly, a statistically significantly higher proportion of those who agreed were extremely satisfied with the physician care received (67.8% vs 62.5%; P < .001). In the multivariable logistic regression models, compared with those patients who definitely agreed with delegation, patients who definitely disagreed were more likely to be dissatisfied with overall service (odds ratio [OR], 1.86; 95% CI, 1.54-2.24) and the physician care received (OR, 1.78; 95% CI, 1.42-2.22) and lack confidence and trust in the physicians providing treatment (OR, 2.05; 95% CI, 1.62-2.59). Conclusions and Relevance: The findings suggest that patient preferences to participate in medical decision-making are statistically significantly associated with dissatisfaction of hospitalized patients. Clinicians should individualize their encouragement of patient participation in diagnostic and management decisions to maximize patient satisfaction.

Hospital Ward Adaptation During the COVID-19 Pandemic: A National Survey of Academic Medical Centers.

IMPORTANCE: Although intensive care unit (ICU) adaptations to the coronavirus disease of 2019 (COVID-19) pandemic have received substantial attention , most patients hospitalized with COVID-19 have been in general medical units. OBJECTIVE: To characterize inpatient adaptations to care for non-ICU COVID-19 patients. DESIGN: Cross-sectional survey. SETTING: A network of 72 hospital medicine groups at US academic centers. MAIN OUTCOME MEASURES: COVID-19 testing, approaches to personal protective equipment (PPE), and features of respiratory isolation units (RIUs). RESULTS: Fifty-one of 72 sites responded (71%) between April 3 and April 5, 2020. At the time of our survey, only 15 (30%) reported COVID-19 test results being available in less than 6 hours. Half of sites with PPE data available reported PPE stockpiles of 2 weeks or less. Nearly all sites (90%) reported implementation of RIUs. RIUs primarily utilized attending physicians, with few incorporating residents and none incorporating students. Isolation and room-entry policies focused on grouping care activities and utilizing technology (such as video visits) to communicate with and evaluate patients. The vast majority of sites reported decreases in frequency of in-room encounters across provider or team types. Forty-six percent of respondents reported initially unrecognized non-COVID-19 diagnoses in patients admitted for COVID-19 evaluation; a similar number reported delayed identification of COVID-19 in patients admitted for other reasons. CONCLUSION: The COVID-19 pandemic has required medical wards to rapidly adapt with expanding use of RIUs and use of technology emerging as critical approaches. Reports of unrecognized or delayed diagnoses highlight how such adaptations may produce potential adverse effects on care.