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Background: Influenza may contribute to the burden of acute cardiovascular events during annual influenza epidemics.Objective: To examine acute cardiovascular events and determine risk factors for acute heart failure (aHF) and acute ischemic heart disease (aIHD) in adults with a hospitalization associated with laboratory-confirmed influenza.Design: Cross-sectional study.Setting: U.S. Influenza Hospitalization Surveillance Network during the 2010-to-2011 through 2017-to-2018 influenza seasons.Participants: Adults hospitalized with laboratory-confirmed influenza and identified through influenza testing ordered by a practitioner.Measurements: Acute cardiovascular events were ascertained using discharge codes from the International Classification of Diseases (ICD), Ninth Revision, Clinical Modification, and ICD, 10th Revision. Age, sex, race/ethnicity, tobacco use, chronic conditions, influenza vaccination, influenza antiviral medication, and influenza type or subtype were included as exposures in logistic regression models, and marginal adjusted risk ratios and 95% CIs were estimated to describe factors associated with aHF or aIHD.Results: Among 89 999 adults with laboratory-confirmed influenza, 80 261 had complete medical record abstractions and available ICD codes (median age, 69 years [interquartile range, 54 to 81 years]) and 11.7% had an acute cardiovascular event. The most common such events (non-mutually exclusive) were aHF (6.2%) and aIHD (5.7%). Older age, tobacco use, underlying cardiovascular disease, diabetes, and renal disease were significantly associated with higher risk for aHF and aIHD in adults hospitalized with laboratory-confirmed influenza.Limitation: Underdetection of cases was likely because influenza testing was based on practitioner orders. Acute cardiovascular events were identified by ICD discharge codes and may be subject to misclassification bias.Conclusion: In this population-based study of adults hospitalized with influenza, almost 12% of patients had an acute cardiovascular event. Clinicians should ensure high rates of influenza vaccination, especially in those with underlying chronic conditions, to protect against acute cardiovascular events associated with influenza.Primary Funding Source: Centers for Disease Control and Prevention. [ABSTRACT FROM AUTHOR]

Background The severity of the 2017–2018 influenza season in the United States was high, with influenza A(H3N2) viruses predominating. Here, we report influenza vaccine effectiveness (VE) and estimate the number of vaccine-prevented influenza-associated illnesses, medical visits, hospitalizations, and deaths for the 2017–2018 influenza season. Methods We used national age-specific estimates of 2017–2018 influenza vaccine coverage and disease burden. We estimated VE against medically attended reverse-transcription polymerase chain reaction–confirmed influenza virus infection in the ambulatory setting using a test-negative design. We used a compartmental model to estimate numbers of influenza-associated outcomes prevented by vaccination. Results The VE against outpatient, medically attended, laboratory-confirmed influenza was 38% (95% confidence interval [CI], 31%–43%), including 22% (95% CI, 12%–31%) against influenza A(H3N2), 62% (95% CI, 50%–71%) against influenza A(H1N1)pdm09, and 50% (95% CI, 41%–57%) against influenza B. We estimated that influenza vaccination prevented 7.1 million (95% CrI, 5.4 million–9.3 million) illnesses, 3.7 million (95% CrI, 2.8 million–4.9 million) medical visits, 109 000 (95% CrI, 39 000–231 000) hospitalizations, and 8000 (95% credible interval [CrI], 1100–21 000) deaths. Vaccination prevented 10% of expected hospitalizations overall and 41% among young children (6 months–4 years). Conclusions Despite 38% VE, influenza vaccination reduced a substantial burden of influenza-associated illness, medical visits, hospitalizations, and deaths in the United States during the 2017–2018 season. Our results demonstrate the benefit of current influenza vaccination and the need for improved vaccines. [ABSTRACT FROM AUTHOR]

Objectives: To examine racial/ethnic differences in healthcare use among patients classified as having controlled and uncontrolled diabetes. Design: Data from the Carolinas HealthCare System electronic data warehouse were used. Glycemic control was defined as glycosylated hemoglobin (HbA1c) < 8% (64 mmol/mol) in 2012 (n = 9996). Patients with HbA1c ≥ 8% (64 mmol/mol) in 2012 were classified as uncontrolled (n = 2576). Race and ethnicity were jointly classified as non-Hispanic Black, non-Hispanic White or Other. Separate mixed effects negative binomial models estimated the independent effect of race/ethnicity on the number of emergency department (ED) visits, hospitalizations and physician office visits in 2013, in each patient group, adjusting for significant confounding variables. Results: Rates of diabetes-related ED visits were two to three times higher for non-Hispanic Blacks compared to non-Hispanic Whites (uncontrolled rate ratio [RR]: 3.41 95% CI: 1.41-8.22; controlled RR: 2.95; 95% CI: 1.78-4.91). Similar differences were observed for all-cause ED visits (uncontrolled RR: 1.83, 95% CI: 1.50-2.24; controlled RR: 2.45, 95% CI: 2.17-2.77). Non-Hispanic Blacks with controlled and uncontrolled diabetes also had lower rates of all-cause physician office visits when compared to non-Hispanic Whites (uncontrolled RR: 0.84, 95% CI: 0.77-0.91; controlled RR: 0.81, 95% CI: 0.78-0.84). Conclusion: Notable racial/ethnic disparities exist in the use of emergency services and physician offices for diabetes care. Strategies such as patient education and care delivery changes that address healthcare access issues in racial/ethnic minorities should be considered to offer better diabetes management and address diabetes disparities. [ABSTRACT FROM AUTHOR]

Background. Outpatient parenteral antimicrobial therapy (OPAT) prescribing has increased along with the trend toward early discharge of hospitalized patients who have infections. There is limited literature that assesses unplanned hospitalizations during OPAT. This study aims to elucidate the predictors of unplanned hospitalization in OPAT patients after discharge from acute-care facilities within Carolinas HealthCare System (CHS). Understanding these predictors may inform future interventions to improve treatment efficacy and patient outcomes. Methods. The study cohort included hospitalized patients aged >19 years who initiated OPAT in an acute-care facility within CHS in 2014-2015. Patients who had OPAT prescribed at an ambulatory-care facility were excluded. The primary outcome was unplanned hospitalization anytime during the at-risk time from discharge through 90 days. Results. The unplanned hospitalization rate for the cohort was 18.5%. In adjusted analysis, having OPAT delivered at a skilled nursing facility was associated with a 46% (incident risk ratio = 1.46; 95% confidence interval = 1.04-2.06) increased risk of an unplanned hospitalization compared with patients receiving OPAT at home after adjustment for demographics, comorbidities, indication, treatment duration, and antimicrobial prescribed. Infusion, dialysis, and rehabilitation centers had the lowest rates of unplanned hospitalizations. Conclusions. These results suggest that the location of OPAT delivery is associated with unplanned hospitalizations and that older patients need additional support during OPAT. [ABSTRACT FROM AUTHOR]