Polytopic fractional delivery of an HIV vaccine alters cellular responses and results in increased epitope breadth in a phase 1 randomized trial.

BACKGROUND: Elicitation of broad immune responses is understood to be required for an efficacious preventative HIV vaccine. This Phase 1 randomized controlled trial evaluated whether administration of vaccine antigens separated at multiple injection sites vs combined, fractional delivery at multiple sites affected T-cell breadth compared to standard, single site vaccination. METHODS: We randomized 90 participants to receive recombinant adenovirus 5 (rAd5) vector with HIV inserts gag, pol and env via three different strategies. The Standard group received vaccine at a single anatomic site (n = 30) compared to two polytopic (multisite) vaccination groups: Separated (n = 30), where antigens were separately administered to four anatomical sites, and Fractioned (n = 30), where fractions of each vaccine component were combined and administered at four sites. All groups received the same total dose of vaccine. FINDINGS: CD8 T-cell response rates and magnitudes were significantly higher in the Fractioned group than Standard for several antigen pools tested. CD4 T-cell response magnitudes to Pol were higher in the Separated than Standard group. T-cell epitope mapping demonstrated greatest breadth in the Fractioned group (median 8.0 vs 2.5 for Standard, Wilcoxon p = 0.03; not significant after multiplicity adjustment for co-primary endpoints). IgG binding antibody response rates to Env were higher in the Standard and Fractioned groups vs Separated group. INTERPRETATION: This study shows that the number of anatomic sites for which a vaccine is delivered and distribution of its antigenic components influences immune responses in humans. FUNDING: National Institute of Allergy and Infectious Diseases, NIH.

Derivation and external validation of a prediction model for pneumococcal urinary antigen test positivity in patients with community-acquired pneumonia.

Objective: Derive and externally validate a prediction model for pneumococcal urinary antigen test (pUAT) positivity. Methods: Retrospective cohort study of adults admitted with community-acquired pneumonia (CAP) to 177 U.S. hospitals in the Premier Database (derivation and internal validation samples) or 12 Cleveland Clinic hospitals (external validation sample). We utilized multivariable logistic regression to predict pUAT positivity in the derivation dataset, followed by model performance evaluation in both validation datasets. Potential predictors included demographics, comorbidities, clinical findings, and markers of disease severity. Results: Of 198,130 Premier patients admitted with CAP, 27,970 (14.1%) underwent pUAT; 1962 (7.0%) tested positive. The strongest predictors of pUAT positivity were history of pneumococcal infection in the previous year (OR 6.99, 95% CI 4.27-11.46), severe CAP on admission (OR 1.76, 95% CI 1.56-1.98), substance abuse (OR 1.57, 95% CI 1.27-1.93), smoking (OR 1.23, 95% CI 1.09-1.39), and hyponatremia (OR 1.35, 95% CI 1.17-1.55). Negative predictors included IV antibiotic use in past year (OR 0.65, 95% CI 0.52-0.82), congestive heart failure (OR 0.72, 95% CI 0.63-0.83), obesity (OR 0.71, 95% CI 0.60-0.85), and admission from skilled nursing facility (OR 0.60, 95% CI 0.45-0.78). Model c-statistics were 0.60 and 0.67 in the internal and external validation cohorts, respectively. Compared to guideline-recommended testing of severe CAP patients, our model would have detected 23% more cases with 5% fewer tests. Conclusion: Readily available data can identify patients most likely to have a positive pUAT. Our model could be incorporated into automated clinical decision support to improve test efficiency and antimicrobial stewardship.

Derivation and validation of a risk assessment model for drug-resistant pathogens in hospitalized patients with community-acquired pneumonia.

OBJECTIVE: To derive and validate a model for risk of resistance to first-line community-acquired pneumonia (CAP) therapy. DESIGN: We developed a logistic regression prediction model from a large multihospital discharge database and validated it versus the Drug Resistance in Pneumonia (DRIP) score in a holdout sample and another hospital system outside that database. Resistance to first-line CAP therapy (quinolone or third generation cephalosporin plus macrolide) was based on blood or respiratory cultures. SETTING: This study was conducted using data from 177 Premier Healthcare database hospitals and 11 Cleveland Clinic hospitals. PARTICIPANTS: Adults hospitalized for CAP. EXPOSURE: Risk factors for resistant infection. RESULTS: Among 138,762 eligible patients in the Premier database, 12,181 (8.8%) had positive cultures and 5,200 (3.8%) had organisms resistant to CAP therapy. Infection with a resistant organism in the previous year was the strongest predictor of resistance; markers of acute illness (eg, receipt of mechanical ventilation or vasopressors) and chronic illness (eg, pressure ulcer, paralysis) were also associated with resistant infections. Our model outperformed the DRIP score with a C-statistic of 0.71 versus 0.63 for the DRIP score (P < .001) in the Premier holdout sample, and 0.65 versus 0.58 (P < .001) in Cleveland Clinic hospitals. Clinicians at Premier facilities used broad-spectrum antibiotics for 20%-30% of patients. In discriminating between patients with and without resistant infections, physician judgment slightly outperformed the DRIP instrument but not our model. CONCLUSIONS: Our model predicting infection with a resistant pathogen outperformed both the DRIP score and physician practice in an external validation set. Its integration into practice could reduce unnecessary use of broad-spectrum antibiotics.

Association of fluoroquinolones or cephalosporin plus macrolide with Clostridioides difficile infection (CDI) after treatment for community-acquired pneumonia.

OBJECTIVE: Clostridioides difficile infection (CDI) is the most common cause of gastroenteritis, and community-acquired pneumonia (CAP) is the most common infection treated in hospitals. American Thoracic Society (ATS)/Infectious Diseases Society of America (IDSA) CAP guidelines recommend empiric therapy with a respiratory fluoroquinolone or cephalosporin plus macrolide combination, but the CDI risk of these regimens is unknown. We examined the association between each antibiotic regimen and the development of hospital-onset CDI. METHODS: We conducted a retrospective cohort study using data from 638 US hospitals contributing administrative including 177 also contributing microbiologic data to Premier, Inc. We included adults admitted with pneumonia and discharged from July 2010 through June 2015 with a pneumonia diagnosis code who received ≥3 days of either empiric regimen. Hospital-onset CDI was defined by a diagnosis code not present on admission and positive laboratory test on day 4 or later or readmission for CDI. Mixed propensity-weighted multiple logistic regression was used to estimate the associations of CDI with antibiotic regimens. RESULTS: Our sample included 58,060 patients treated with either cephalosporin plus macrolide (36,796 patients) or a fluoroquinolone alone (21,264 patients) and with microbiological data; 127 (0.35%) patients who received cephalosporin plus macrolide and 65 (0.31%) who received a fluoroquinolone developed CDI. After adjustment for patient demographics, comorbidities, risk factors for antimicrobial resistance, and hospital characteristics, CDI risks were similar for fluoroquinolones versus cephalosporin plus macrolide (odds ratio [OR], 0.98; 95% confidence interval [CI], 0.70-1.38). CONCLUSION: Among patients with CAP at US hospitals, CDI was uncommon, occurring in ∼0.33% of patients. We did not detect a significant association between the choice of empiric guideline recommended antibiotic therapy and the development of CDI.

Change in Physician Burnout between 2013 and 2020 in a Major Health System.

OBJECTIVE: Assessing changes in physician burnout over time can offer insight into the causes of burnout. Existing studies are limited by using different samples of physicians at each time point. Our objective was to assess changes in burnout between 2013-2014 and 2019-2020 overall and within a cohort of physicians who took the survey twice. METHODS: This is a longitudinal cohort and cross-sectional study of physicians in a major health system. They were administered the Maslach Burnout Inventory in 2013-2014 and 2019-2020. We separately assessed differences in odds of burnout and its subscales in 2013-2014 and 2019-2020 by physician characteristics and clinical time. We then assessed differences in the odds of reporting burnout and its subscales in 2019-2020 compared with 2013-2014 overall and by physician sex, race, and change in clinical full-time employment. RESULTS: There were 1220 respondents in 2013-2014, 503 in 2019-2020, and 149 who responded at both time points. Burnout increased from 35% to 56%. Compared with 2013-2014, physicians had 2.39 higher odds (95% confidence interval [CI] 1.92-2.98) of burnout in 2019-2020, and this change in burnout was significantly more pronounced for female versus male physicians (odds ratio 1.80; 95% CI 1.57-1.80). Compared with White physicians, non-White physicians had significantly lower odds of burnout at both time points, but their odds increased significantly more over time (odds ratio 1.36; 95% CI 1.05-1.57). CONCLUSIONS: We found a substantial increase in burnout over time, which was particularly pronounced for non-White and female physicians. Assessment over time is essential for understanding problematic trajectories of burnout that may be obscured by cross-sectional studies.

Acute but not chronic heart failure is associated with higher mortality among patients hospitalized with pneumonia: An analysis of a nationwide database☆.

Background: Among patients admitted for pneumonia, heart failure (HF) is associated with worse outcomes. It is unclear whether this association is due to acute HF exacerbations, complex medical management, or chronic co-morbid conditions. Methods: This is a retrospective cohort study of patients admitted between July 2010 and June 2015 at 651 US hospitals with a principal diagnosis of either pneumonia or secondary diagnosis of pneumonia with a primary diagnosis of respiratory failure or sepsis. Comorbidities were identified by ICD-9 codes and medical management by daily charge codes. Patients were categorized according to the presence and acuity of admission diagnosis of HF. In-hospital mortality was the primary outcome. Secondary outcomes included length of stay, hospital cost, ICU admission, use of mechanical ventilation, vasopressors and inotropes. Logistic regression was used to study the association of outcomes with presence and acuity of HF. Results: Of 783,702 patients who met inclusion criteria, 212,203 (27%) had a diagnosis of HF. Of these, 56,306 (26.5%) had acute while 48,188 (22.7%) had chronic HF on admission; 51% had a diagnosis of unspecified HF. In multivariable-adjusted models, having any HF was associated with increased mortality (OR 1.35 [1.33 - 1.38]) compared to those without HF; increased mortality was associated with acute HF (OR 1.19 [1.15 - 1.22]) but not chronic HF (OR 0.92 [0.89 - 0.96]). Conclusion: The worse outcomes for pneumonia patients with HF appear due to acute HF exacerbations. Adjustment for HF without accounting for chronicity could lead to biased prognostic and billing estimates.

Early treatment with thiamine and mortality among patients with alcohol use disorder who are hospitalized for pneumonia.

BACKGROUND: The paucity of research linking thiamine treatment with improved outcomes may be driving its underutilization among patients at risk for Wernicke encephalopathy. OBJECTIVE: To assess relationships of thiamine usage to outcomes of patients hospitalized with alcohol use disorder and pneumonia. DESIGN, SETTING AND PARTICIPANTS: This is a retrospective cohort study of adult patients hospitalized with pneumonia who also have alcohol use disorder and were treated with benzodiazepines during the initial two hospital days, between 2010 and 2015 at hospitals participating in the Premier Healthcare Database. EXPOSURE: Any thiamine treatment, and, among those treated, high-dose thiamine treatment, during the initial two hospital days. MAIN OUTCOME AND MEASURES: Death on days 3-14 of hospitalization (primary); discharge home; transfer to intensive care unit; length of stay (LOS). We used propensity-weighted models to estimate treatment effects. RESULTS: Among 36,732 patients from 625 hospitals, 26,520 (72.2%) patients received thiamine, with mortality of 6.5% and 8.1% among recipients and nonrecipients, respectively. With propensity score adjustment, thiamine was associated with reduced mortality (odds ratio [OR]: 0.80, 95% confidence interval [CI]: 0.75-0.85) and more frequent discharges to home (OR: 1.10, 95% CI: 1.06-1.14). Other outcomes were similar. Relative to low-dose thiamine, high-dose thiamine was not associated with mortality (adjusted OR: 0.99, 95% CI: 0.89-1.10), but LOS was longer (ratio of means: 1.06, 95% CI: 1.04-1.08), and discharges to home were less frequent (OR: 0.92, 95% CI: 0.87-0.97). CONCLUSION: Thiamine is not reliably given to patients with pneumonia and alcohol use disorder receiving benzodiazepines. Improving thiamine administration may represent an opportunity to save lives in this high-risk group of inpatients.

Influenza Testing and Treatment Among Patients Hospitalized With Community-Acquired Pneumonia.

BACKGROUND: Influenza is a leading cause of community-acquired pneumonia (CAP), and results of influenza tests can direct therapy. However, among adults hospitalized with CAP, little is known about the frequency and timing of influenza testing, treatment, and their associations with outcomes. RESEARCH QUESTION: In patients with CAP, is testing for influenza associated with antiviral treatment and shorter antibiotic courses, and is early treatment associated with better clinical outcomes? STUDY DESIGN AND METHODS: This study included adults admitted with pneumonia in 2010 to 2015 to 179 US hospitals contributing to the Premier database. We assessed influenza testing and compared antimicrobial utilization and the outcomes of test-positive, test-negative, and untested patients. Associations of early antiviral treatment (oseltamivir) with 14-day in-hospital mortality, hospital length of stay, and cost were studied. RESULTS: Among 166,268 patients with CAP, 38,703 (23.3%) were tested for influenza, of whom 11.5% tested positive. Testing increased from 15.4% to 35.6% from 2010 to 2015 and was 28.9% during flu season (October-May) vs 8.2% in June to September. Patients testing positive for influenza received antiviral agents more often and antibacterial agents less often and for shorter courses than patients testing negative (5.3 vs 6.4 days; P < .001). Influenza-positive patients receiving oseltamivir on hospital day 1 (n = 2,585) experienced lower 14-day in-hospital mortality (adjusted OR, 0.75; 95% CI, 0.59-0.96), lower costs (adjusted ratio of means, 0.88; 95% CI, 0.81-0.95), and shorter length of stay (adjusted ratio of means, 0.88; 95% CI, 0.84-0.93) vs patients receiving oseltamivir later or not at all (n = 1,742). INTERPRETATION: Even during flu season, most patients with CAP in this study went untested for influenza. A positive influenza test result was associated with antiviral treatment, and early treatment was associated with lower mortality, suggesting that more widespread testing might improve patient outcomes.

Epidemiology and Outcomes of Community-Acquired Escherichia coli Pneumonia.

BACKGROUND: E. coli is an under-recognized cause of bacterial community-acquired pneumonia (CAP). The objective of this study was to describe the epidemiology, risk factors, and outcomes of community-acquired Escherichia coli pneumonia in comparison with other gram-negative and pneumococcal pneumonias. METHODS: We conducted a large retrospective cohort study of adult patients admitted with pneumonia to 173 US hospitals included in the Premier Research database from July 2010 to June 2015. Patients were included if they had a principal diagnosis code for pneumonia or a principal diagnosis of respiratory failure or sepsis with a secondary diagnosis of pneumonia and had a positive blood or respiratory culture obtained on hospital day 1. The primary outcome was in-hospital case fatality. Secondary outcomes included intensive care unit admission, invasive mechanical ventilation, and use of vasopressors. RESULTS: Of 8680 patients with pneumonia and positive blood or respiratory cultures, 1029 (7.7%) had E. coli CAP. Patients with E. coli pneumonia were older and more likely to have a principal diagnosis of sepsis. Patients with E. coli pneumonia had significantly higher case fatality than patients with pneumococcal pneumonia (adjusted odds ratio, 1.55; 95% CI, 1.23-1.97), but it was not significantly different than other gram-negative pneumonias (adjusted odds ratio, 1.06; 95% CI, 0.85-1.32). Approximately 36% of the isolates were resistant to fluoroquinolones; 9.3% were resistant to ceftriaxone. CONCLUSIONS: E. coli is an important cause of severe CAP; with mortality that was higher than pneumococcal pneumonia but similar to other gram-negative pneumonias. The rate of fluoroquinolone resistance was high, and empiric fluoroquinolones should be used with caution in these patients.

Association of antibiotic use and acute kidney injury in patients hospitalized with community-acquired pneumonia.

BACKGROUND: Acute kidney injury (AKI) is common among hospitalized patients with community-acquired pneumonia (CAP). We aimed to estimate and compare the risk of AKI for various antibiotic combinations in adults hospitalized for CAP. METHODS: We conducted a retrospective cohort study of the Premier Healthcare Database containing all admissions for 660 US hospitals from 2010 to 2015. We included adults aged ≥18 years hospitalized with CAP and considered 6 different antibiotic combinations based on continuous use in the first 3 hospital days. The primary outcome was incident AKI, defined by ICD-9 codes 584.5-584-9. We evaluated associations of AKI with in-hospital mortality and length-of-stay. We excluded patients who were admitted directly to the intensive care unit, had AKI codes present on admission or had dialysis in the first 2 days. We used generalized linear mixed models with the hospital as a random effect and covariate adjustment for patient demographics, comorbidities, other treatments on day 0/1, and hospital characteristics. RESULTS: The total sample included 449,535 patients, 3.15% of whom developed AKI. All other regimens but fluoroquinolones exhibited higher AKI odds than 3rd generation cephalosporin with or without macrolide. The combination of piperacillin/tazobactam and vancomycin with or without other antibiotics was associated with the highest AKI odds (OR = 1.89; 95% CI: 1.73-2.06). Patients with incident AKI had an increased odds of hospital mortality (OR = 6.37; 95% CI: 6.07-6.69) and longer length-of-stay (mean multiplier = 1.84; 95% CI: 1.82, 1.86). CONCLUSION: Compared to 3rd generation cephalosporin with or without macrolide, piperacillin/tazobactam, vancomycin, and their combination were associated with higher odds of developing AKI, which in turn were associated with worse clinical outcomes.

Treatment and outcomes among patients ≥85 years hospitalized with community-acquired pneumonia.

Our objective was to describe community-acquired pneumonia (CAP) among patients ≥85 years and compare them to patients aged 65-74. This was a retrospective cohort study. The study setting included 638 hospitals in the USA participating in the Premier database from 2010 to 2015. The study participants were 488,382 adults aged ≥65 years hospitalized with CAP. Patients ≥85 years were more likely to be white (79.8% vs 76.2%), female (58.1% vs 48.3%), and admitted with aspiration pneumonia (17.1% vs 7.0%) as compared with those aged 65-75 years. They had higher rates of dementia (30.4% vs 7.8%), but lower rates of diabetes (11.2% vs 17.6%) and chronic obstructive pulmonary disease (25.5% vs 54.7%). While Staphylococcus aureus (33.4%) was the most common pathogen across all age groups, patients aged ≥85 were more likely to have Escherichia coli pneumonia (16.1% vs 10.7%) compared with those aged 65-74. In adjusted models, patients aged ≥85 had greater in-hospital mortality (OR 1.14, 95% CI 1.11 to 1.18), but were less likely to be admitted to the intensive care unit (OR 0.54, 95% CI 0.53 to 0.55) and receive mechanical ventilation (OR 0.47, 95% CI 0.46 to 0.48). They also had lower rates of acute kidney injury (OR 0.95, 95% CI 0.91 to 1.00) and Clostridium difficile infection (OR 0.91, 95% CI 0.85 to 0.99), shorter lengths of stay (mean multiplier 0.93, 95% CI 0.92 to 0.93) and lower cost (mean multiplier 0.81, 95% CI 0.80 to 0.81), and were more likely to be discharged to a skilled nursing facility (OR 2.19, 95% CI 2.15 to 2.24) or hospice (OR 2.19, 95% CI 2.11 to 2.27). In conclusion, patients aged ≥85 have different comorbidities and etiologies of CAP, receive less intense treatment, and have greater mortality than patients between 65 and 75 years.

Bacterial coinfection in influenza pneumonia: Rates, pathogens, and outcomes.

BACKGROUND: Evidence from pandemics suggests that influenza is often associated with bacterial coinfection. Among patients hospitalized for influenza pneumonia, we report the rate of coinfection and distribution of pathogens, and we compare outcomes of patients with and without bacterial coinfection. METHODS: We included adults admitted with community-acquired pneumonia (CAP) and tested for influenza from 2010 to 2015 at 179 US hospitals participating in the Premier database. Pneumonia was identified using an International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) algorithm. We used multiple logistic and gamma-generalized linear mixed models to assess the relationships between coinfection and inpatient mortality, intensive care unit (ICU) admission, length of stay, and cost. RESULTS: Among 38,665 patients hospitalized with CAP and tested for influenza, 4,313 (11.2%) were positive. In the first 3 hospital days, patients with influenza were less likely than those without to have a positive culture (10.3% vs 16.2%; P < .001), and cultures were more likely to contain Staphylococcus aureus (34.2% vs 28.2%; P = .007) and less likely to contain Streptococcus pneumoniae (24.9% vs 31.0%; P = .008). Of S. aureus isolates, 42.8% were methicillin resistant among influenza patients versus 53.2% among those without influenza (P = .01). After hospital day 3, pathogens for both groups were similar. Bacterial coinfection was associated with increased odds of in-hospital mortality (aOR, 3.00; 95% CI, 2.17-4.16), late ICU transfer (aOR, 2.83; 95% CI, 1.98-4.04), and higher cost (risk-adjusted mean multiplier, 1.77; 95% CI, 1.59-1.96). CONCLUSIONS: In a large US inpatient sample hospitalized with influenza and CAP, S. aureus was the most frequent cause of bacterial coinfection. Coinfection was associated with worse outcomes and higher costs.

Patient Experience in Virtual Visits Hinges on Technology and the Patient-Clinician Relationship: A Large Survey Study With Open-ended Questions.

BACKGROUND: Patient satisfaction with in-person medical visits includes patient-clinician engagement. However, communication, empathy, and other relationship-centered care measures in virtual visits have not been adequately investigated. OBJECTIVE: This study aims to comprehensively consider patient experience, including relationship-centered care measures, to assess patient satisfaction during virtual visits. METHODS: We conducted a large survey study with open-ended questions to comprehensively assess patients' experiences with virtual visits in a diverse patient population. Adults with a virtual visit between June 21, 2017, and July 12, 2017, were invited to complete a survey of 21 Likert-scale items and textboxes for comments following their visit. Factor analysis of the survey items revealed three factors: experience with technology, patient-clinician engagement, and overall satisfaction. Multivariable logistic regression was used to test the associations among the three factors and patient demographics, clinician type, and prior relationship with the clinician. Using qualitative framework analysis, we identified recurrent themes in survey comments, quantitatively coded comments, and computed descriptive statistics of the coded comments. RESULTS: A total of 65.7% (426/648) of the patients completed the survey; 64.1% (273/426) of the respondents were women, and the average age was 46 (range 18-86) years. The sample was geographically diverse: 70.2% (299/426) from Ohio, 6.8% (29/426) from Florida, 4.2% (18/426) from Pennsylvania, and 18.7% (80/426) from other states. With regard to insurance coverage, 57.5% (245/426) were undetermined, 23.7% (101/426) had the hospital's employee health insurance, and 18.7% (80/426) had other private insurance. Types of virtual visits and clinicians varied. Overall, 58.4% (249/426) of patients had an on-demand visit, whereas 41.5% (177/426) had a scheduled visit. A total of 41.8% (178/426) of patients had a virtual visit with a family physician, 20.9% (89/426) with an advanced practice provider, and the rest had a visit with a specialist. Most patients (393/423, 92.9%) agreed that their virtual visit clinician was interested in them as a person, and their virtual visit made it easy to get the care they needed (383/421, 90.9%). A total of 81.9% (344/420) of respondents agreed or strongly agreed that their virtual visit was as good as an in-person visit by a clinician. Having a prior relationship with their virtual visit clinician was associated with less comfort and ease with virtual technology among patients (odds ratio 0.58, 95% CI 0.35-0.98). In terms of technology, patients found the interface easy to use (392/423, 92.7%) and felt comfortable using it (401/423, 94.8%). Technical difficulties were associated with lower odds of overall satisfaction (odds ratio 0.46, 95% CI 0.28-0.76). CONCLUSIONS: Patient-clinician engagement in virtual visits was comparable with in-person visits. This study supports the value and acceptance of virtual visits. Evaluations of virtual visits should include assessments of technology and patient-clinician engagement, as both are likely to influence patient satisfaction.

De-escalation of Empiric Antibiotics Following Negative Cultures in Hospitalized Patients With Pneumonia: Rates and Outcomes.

BACKGROUND: For patients at risk for multidrug-resistant organisms, IDSA/ATS guidelines recommend empiric therapy against methicillin-resistant Staphylococcus aureus (MRSA) and Pseudomonas. Following negative cultures, the guidelines recommend antimicrobial de-escalation. We assessed antibiotic de-escalation practices across hospitals and their associations with outcomes in hospitalized patients with pneumonia with negative cultures. METHODS: We included adults admitted with pneumonia in 2010-2015 to 164 US hospitals if they had negative blood and/or respiratory cultures and received both anti-MRSA and antipseudomonal agents other than quinolones. De-escalation was defined as stopping both empiric drugs on day 4 while continuing another antibiotic. Patients were propensity adjusted for de-escalation and compared on in-hospital 14-day mortality, late deterioration (ICU transfer), length-of-stay (LOS), and costs. We also compared adjusted outcomes across hospital de-escalation rate quartiles. RESULTS: Of 14 170 patients, 1924 (13%) had both initial empiric drugs stopped by hospital day 4. Hospital de-escalation rates ranged from 2-35% and hospital de-escalation rate quartile was not significantly associated with outcomes. At hospitals in the top quartile of de-escalation, even among patients at lowest risk for mortality, the de-escalation rates were <50%. In propensity-adjusted analysis, patients with de-escalation had lower odds of subsequent transfer to ICU (adjusted odds ratio, .38; 95% CI, .18-.79), LOS (adjusted ratio of means, .76; .75-.78), and costs (.74; .72-.76). CONCLUSIONS: A minority of eligible patients with pneumonia had antibiotics de-escalated by hospital day 4 following negative cultures and de-escalation rates varied widely between hospitals. To adhere to recent guidelines will require substantial changes in practice.

Respiratory viral testing and antibacterial treatment in patients hospitalized with community-acquired pneumonia.

OBJECTIVE: Viruses are more common than bacteria in patients hospitalized with community-acquired pneumonia. Little is known, however, about the frequency of respiratory viral testing and its associations with antimicrobial utilization. DESIGN: Retrospective cohort study. SETTING: The study included 179 US hospitals. PATIENTS: Adults admitted with pneumonia between July 2010 and June 2015. METHODS: We assessed the frequency of respiratory virus testing and compared antimicrobial utilization, mortality, length of stay, and costs between tested versus untested patients, and between virus-positive versus virus-negative patients. RESULTS: Among 166,273 patients with pneumonia on admission, 40,787 patients (24.5%) were tested for respiratory viruses, 94.8% were tested for influenza, and 20.7% were tested for other viruses. Viral assays were positive in 5,133 of 40,787 tested patients (12.6%), typically for influenza and rhinovirus. Tested patients were younger and had fewer comorbidities than untested patients, but patients with positive viral assays were older and had more comorbidities than those with negative assays. Blood cultures were positive for bacterial pathogens in 2.7% of patients with positive viral assays versus 5.3% of patients with negative viral tests (P < .001). Antibacterial courses were shorter for virus-positive versus -negative patients overall (mean 5.5 vs 6.4 days; P < .001) but varied by bacterial testing: 8.1 versus 8.0 days (P = .60) if bacterial tests were positive; 5.3 versus 6.1 days (P < .001) if bacterial tests were negative; and 3.3 versus 5.2 days (P < .001) if bacterial tests were not obtained (interaction P < .001). CONCLUSIONS: A minority of patients hospitalized with pneumonia were tested for respiratory viruses; only a fraction of potential viral pathogens were assayed; and patients with positive viral tests often received long antibacterial courses.

Assessment of the Accuracy of Using ICD-9 Diagnosis Codes to Identify Pneumonia Etiology in Patients Hospitalized With Pneumonia.

Importance: Administrative databases may offer efficient clinical data collection for studying epidemiology, outcomes, and temporal trends in health care delivery. However, such data have seldom been validated against microbiological laboratory results. Objective: To assess the validity of International Classification of Diseases, Ninth Revision (ICD-9) organism-specific administrative codes for pneumonia using microbiological data (test results for blood or respiratory culture, urinary antigen, or polymerase chain reaction) as the criterion standard. Design, Setting, and Participants: Cross-sectional diagnostic accuracy study conducted between February 2017 and June 2019 using data from 178 US hospitals in the Premier Healthcare Database. Patients were aged 18 years or older admitted with pneumonia and discharged between July 1, 2010, and June 30, 2015. Data were analyzed from February 14, 2017, to June 27, 2019. Exposures: Organism-specific pneumonia identified from ICD-9 codes. Main Outcomes and Measures: Sensitivity, specificity, positive predictive value, and negative predictive value of ICD-9 codes using microbiological data as the criterion standard. Results: Of 161 529 patients meeting inclusion criteria (mean [SD] age, 69.5 [16.2] years; 51.2% women), 35 759 (22.1%) had an identified pathogen. ICD-9-coded organisms and laboratory findings differed notably: for example, ICD-9 codes identified only 14.2% and 17.3% of patients with laboratory-detected methicillin-sensitive Staphylococcus aureus and Escherichia coli, respectively. Although specificities and negative predictive values exceeded 95% for all codes, sensitivities ranged downward from 95.9% (95% CI, 95.3%-96.5%) for influenza virus to 14.0% (95% CI, 8.8%-20.8%) for parainfluenza virus, and positive predictive values ranged downward from 91.1% (95% CI, 89.5%-92.6%) for Staphylococcus aureus to 57.1% (95% CI, 39.4%-73.7%) for parainfluenza virus. Conclusions and Relevance: In this study, ICD-9 codes did not reliably capture pneumonia etiology identified by laboratory testing; because of the high specificities of ICD-9 codes, however, administrative data may be useful in identifying risk factors for resistant organisms. The low sensitivities of the diagnosis codes may limit the validity of organism-specific pneumonia prevalence estimates derived from administrative data.

Comparison of Burnout and Empathy Among Millennial and Generation X Residents and Fellows: Associations with Training Level and Race but Not Generation Affiliation.

OBJECTIVE: The authors examine the associations of generational affiliation on empathy and burnout in a sample of millennial (born between 1982 and 2000) and Generation X (born between 1965 and 1981) residents and fellows. METHODS: At a single large institution during the 2013-2014 academic year, residents and fellows were asked to complete the Jefferson Scale of Physician Empathy and Maslach Burnout Inventory (MBI). Responses were combined with GME database content. Multivariable regression analysis included generation affiliation, race, gender, and post-graduate year (PGY) as covariates. RESULTS: The study sample included 388 millennial (mean age = 29.3) and 200 Generation X trainees (mean age = 34.6), with the response rate being 96.5%. Groups were statistically different by gender (p < 0.001) and PGY level (p < 0.001). After adjustment for gender, race, and PGY level, no statistically significant differences were found between millennial and Generation X groups in mean scores of empathy or burnout. Empathy was associated with PGY level (p = 0.0008) and race (p < 0.0001), with decreased empathy in advanced training levels and increased empathy in Hispanic/Latino race. Burnout rate was associated with PGY level (p = 0.001) but not generational affiliation (p = 0.6). The MBI depersonalization subscale was associated with PGY level (p < 0.001) and race (p = 0.0034), with decreased depersonalization in advanced training levels and Hispanic/Latino race. The emotional exhaustion and personal accomplishment MBI subscales did not demonstrate any significant associations in the multivariable regression model. CONCLUSIONS: In a compared sample of millennial and Generation X residents and fellows, PGY level and Hispanic/Latino race (though not generation affiliation) were significantly associated with both empathy and MBI depersonalization subscale scores, while only PGY level was significantly associated with burnout rate. This study presents further evidence of de-escalating burnout and declining empathy over the course of medical residency.

Pneumococcal Urinary Antigen Testing in United States Hospitals: A Missed Opportunity for Antimicrobial Stewardship.

BACKGROUND: The Infectious Diseases Society of America recommends pneumococcal urinary antigen testing (UAT) when identifying pneumococcal infection would allow for antibiotic de-escalation. However, the frequencies of UAT and subsequent antibiotic de-escalation are unknown. METHODS: We conducted a retrospective cohort study of adult patients admitted with community-acquired or healthcare-associated pneumonia to 170 US hospitals in the Premier database from 2010 to 2015, to describe variation in UAT use, associations of UAT results with antibiotic de-escalation, and associations of de-escalation with outcomes. RESULTS: Among 159 894 eligible admissions, 24 757 (15.5%) included UAT performed (18.4% of intensive care unit [ICU] and 15.3% of non-ICU patients). Among hospitals with ≥100 eligible patients, UAT proportions ranged from 0% to 69%. Compared to patients with negative UAT, 7.2% with positive UAT more often had a positive Streptococcus pneumoniae culture (25.4% vs 1.9%, P < .001) and less often had resistant bacteria (5.2% vs 6.8%, P < .05). Of patients initially treated with broad-spectrum antibiotics, most were still receiving broad-spectrum therapy 3 days later, but UAT-positive patients more often had coverage narrowed (38.4% vs 17.0% UAT-negative and 14.6% untested patients, P < .001). Hospital rate of UAT was strongly correlated with de-escalation following a positive test. Only 3 patients de-escalated after a positive UAT result were subsequently admitted to ICU. CONCLUSIONS: UAT is not ordered routinely in pneumonia, even in ICU. A positive UAT result was associated with less frequent resistant organisms, but usually did not lead to antibiotic de-escalation. Increasing UAT and narrowing therapy after a positive UAT result are opportunities for improved antimicrobial stewardship.

Blood Cultures Versus Respiratory Cultures: 2 Different Views of Pneumonia.

BACKGROUND: Choice of empiric therapy for pneumonia depends on risk for antimicrobial resistance. Models to predict resistance are derived from blood and respiratory culture results. We compared these results to understand if organisms and resistance patterns differed by site. We also compared characteristics and outcomes of patients with positive cultures by site. METHODS: We studied adult patients discharged from 177 US hospitals from July 2010 through June 2015, with principal diagnoses of pneumonia, or principal diagnoses of respiratory failure, acute respiratory distress syndrome, respiratory arrest, or sepsis with a secondary diagnosis of pneumonia, and who had blood or respiratory cultures performed. Demographics, treatment, microbiologic results, and outcomes were examined. RESULTS: Among 138 561 hospitalizations of patients with pneumonia who had blood or respiratory cultures obtained at admission, 12 888 (9.3%) yielded positive cultures: 6438 respiratory cultures, 5992 blood cultures, and 458 both respiratory and blood cultures. Forty-two percent had isolates resistant to first-line therapy for community-acquired pneumonia. Isolates from respiratory samples were more often resistant than were isolates from blood (54.2% vs 26.6%; P < .001). Patients with both culture sites positive had higher case-fatality, longer lengths of stay, and higher costs than patients who had only blood or respiratory cultures positive. Among respiratory cultures, the most common pathogens were Staphylococcus aureus (34%) and Pseudomonas aeruginosa (17%), whereas blood cultures most commonly grew Streptococcus pneumoniae (33%), followed by S. aureus (22%). CONCLUSIONS: Patients with positive respiratory tract cultures are clinically different from those with positive blood cultures, and resistance patterns differ by source. Models of antibiotic resistance should account for culture source.

Association Between Public Trust and Provider Specialty Among Physicians With Financial Conflicts of Interest.

OBJECTIVES: To characterize public perception of physicians' conflicts of interest (COIs) across medical and surgical specialties. PATIENTS AND METHODS: A cross-sectional 6-arm randomized survey of a nonprobability sample from Amazon's Mechanical Turk occurred on December 11 to 16, 2018. Survey respondents were randomly assigned to vignettes that varied the physician specialty with COI. The primary outcome was mean difference in Mayer Trust, and the secondary outcome included the proportion who desire to discontinue care. RESULTS: There were 1729 of 1920 respondents who completed the experiment (90.1% completion rate). Respondents were male (52.5%; n=907), white (71.4%; n=1234), and between the ages of 25 and 44 years (70.9%; n=1227). Mean ± SD Mayer Trust across the 6 specialties was 3.7±.60, with the only between-specialty differences observed for psychiatry compared with the other specialties (F=5.4; P<.001). The median dollar amount that would affect respondents' trust in a physician was $5000 (interquartile range, $100-$100,000). A total of 75.1% (n=1298) of respondents desired COI information, with 41.6% (n=720) discontinuing care. Age older than 34 years (adjusted odds ratio [aOR], 0.7; 95%, CI, 0.49-0.99; P=.047), nonwhite race (aOR, 1.3; 95% CI, 1.02-1.6; P=.03), educational attainment of 4 or more years of college (aOR, 1.31; 95% CI, 1.05-1.6; P=.016), and physician specialty as a psychiatrist (aOR, 1.5; 95% CI, 1.03-2.2; P=.034) were predictors for discontinuing care. CONCLUSION: Public COI disclosure is a common method for managing financial conflicts. Although survey respondents were more likely to discontinue care with a physician with COI, they will act on this knowledge of COI differently depending on the specialty of the physician. The finding that psychiatry is an outlier may be a chance finding that warrants further confirmation. Continued efforts to ensure best practices for disclosure are required.