Influenza vaccine effectiveness to prevent influenza-related hospitalizations and serious outcomes in Canadian adults over the 2011/12 through 2013/14 influenza seasons: A pooled analysis from the Canadian Immunization Research Network (CIRN) Serious Outcomes Surveillance (SOS Network)

BackgroundOngoing assessment of influenza vaccine effectiveness (VE) is critical to inform public health policy. This study aimed to determine the VE of trivalent influenza vaccine (TIV) for preventing influenza-related hospitalizations and other serious outcomes over three consecutive influenza seasons.MethodsThe Serious Outcomes Surveillance (SOS) Network of the Canadian Immunization Research Network (CIRN) conducted active surveillance for influenza in adults ≥16 years (y) of age during the 2011/2012, 2012/2013 and 2013/2014 seasons in hospitals across Canada. A test-negative design was employed: cases were polymerase chain reaction (PCR)-positive for influenza; controls were PCR-negative for influenza and were matched to cases by date, admission site, and age (≥65 y or <65 y). All cases and controls had demographic and clinical characteristics (including influenza immunization status) obtained from the medical record. VE was estimated as 1-OR (odds ratio) in vaccinated vs. unvaccinated patients × 100%. The primary outcome was VE of TIV for preventing laboratory-confirmed influenza-related hospitalization; secondary outcomes included VE of TIV for preventing influenza-related intensive care unit (ICU) admission/mechanical ventilation, and influenza-related death.ResultsOverall, 3394 cases and 4560 controls were enrolled; 2078 (61.2%) cases and 2939 (64.5%) controls were ≥65 y. Overall matched, adjusted VE was 41.7% (95% Confidence Interval (CI): 34.4–48.3%); corresponding VE in adults ≥65 y was 39.3% (95% CI: 29.4–47.8%) and 48.0% (95% CI: 37.5–56.7%) in adults <65 y, respectively. VE for preventing influenza-related ICU admission/mechanical ventilation in all ages was 54.1% (95% CI: 39.8–65.0%); in adults ≥65 y, VE for preventing influenza-related death was 74.5% (95% CI: 44.0–88.4%).ConclusionsWhile effectiveness of TIV to prevent serious outcomes varies year to year, we demonstrate a statistically significant and clinically important TIV VE for preventing hospitalization and other serious outcomes over three seasons. Public health messaging should highlight the overall benefit of influenza vaccines over time while acknowledging year to year variability.ClinicalTrials.gov Identifier: NCT01517191.     

Effect of alpha-glucosidase inhibitor on human pancreatic and salivary alpha-amylase

The mode of inhibition of a new complex oligosaccharide that inhibits the alpha-glucoside hydrolase activity of pancreatic and salivary alpha-amylase was studied. Kinetic analysis revealed a non-competitive type of inhibition with a Ki of 1.47 +/- 0.03 micrograms when tested against human pancreatic alpha-amylase and 3.89 +/- 0.08 micrograms against human salivary alpha-amylase. The inhibitory action of alpha-glucoside hydrolase inhibitor (alpha-GHI) on pancreatic amylase was observed over a wide range of pH (6.0--7.9), whereas the inhibition of salivary amylase was optimal at pH 6.5. Column chromatographic investigations suggested the possible formation of an enzyme-inhibitor complex because the mixture of alpha-GHI and pancreatic alpha-amylase was eluted as a single component through a Sephadex G200 column. However, this enzyme-inhibitor complex was easily separated into each component and the enzyme activity was fully recovered after electrophoresis.     

Thromboprophylaxis patterns,risk factors,and outcomes of care in the medically ill patient population

Introduction

Medically ill, hospitalized patients are at increased risk for venous thromboembolism (VTE) after discharge. This study aimed to examine thromboprophylaxis patterns, risk factors, and post-discharge outcomes.

Methods

This was a retrospective claims analysis involving administrative claims data and in-patient data abstracted from a sample of hospital charts. Patients aged ≥ 40 years hospitalized for ≥ 2 days for nonsurgical reasons between 2005 and 2009 were included. Hospital chart data were abstracted for a random sample of patients without evidence of anticoagulant use at 30 days post-discharge. The combined data determined whether in-patient thromboprophylaxis (anticoagulant or mechanical prophylaxis) reduces risk of VTE at 90 days post-discharge. Hazard ratios (HR) and odds ratios (OR) were calculated using Cox proportional hazard models and logistic regression.

Results

Of 141,628 patients in the claims analysis, 3.9% received anticoagulants (3.6% warfarin). VTE, rehospitalization, and mortality rates were 1.9%, 17.2%, and 6.2%, respectively. The strongest predictors of post-discharge VTE were history of VTE (HR = 4.0, 95% confidence interval [CI]: 3.3-4.8), and rehospitalization (HR = 3.9, 95% CI: 3.6-4.3). Of 504 medical charts, 209 (41.5%) reported in-patient thromboprophylaxis. There was no statistically significant difference in post-discharge VTE rates between patients who did and did not receive in-patient thromboprophylaxis. All-cause mortality was greater among patients without use of VTE prophylaxis.

Conclusion

Utilization rates of in-hospital and post-discharge VTE prophylaxis were low. In-hospital VTE prophylaxis did not reduce the risk of post-discharge VTE in the absence of post-discharge anticoagulation. Combined in-patient and post-discharge thromboprophylaxis lowered the odds of short-term, all-cause post-discharge mortality.     

Position statement on the role of health care assistants who are involved in direct patient care activities within critical care areas

Intensive care has developed as a speciality since the 1950s, and during this time, there have been major technological advances in health care provision, leading to a rapid expansion of all areas of critical care. The ongoing problem in recruiting qualified nurses in general has affected, and continues to be a problem for, all aspects of critical care areas. During the past decade, nursing practice has evolved, as qualified nurses have expanded their own scope of practice to develop a more responsive approach to the complex care needs of the critically ill patient. The aim of this paper is to present the British Association of Critical Care Nurses (BACCN) position statement on the role of health care assistants involved in direct patient care activities, and to address some of the key work used to inform the development of the position statement.     

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram

ObjectiveTo rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG).MethodsA global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction–confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Clinical characteristics, polymerase chain reaction results, and raw electrocardiographic data were collected. A convolutional neural network was trained using 26,153 ECGs (33.2% COVID positive), validated with 3826 ECGs (33.3% positive), and tested on 7870 ECGs not included in other sets (32.7% positive). Performance under different prevalence values was tested by adding control ECGs from a single high-volume site.ResultsThe area under the curve for detection of acute COVID-19 infection in the test group was 0.767 (95% CI, 0.756 to 0.778; sensitivity, 98%; specificity, 10%; positive predictive value, 37%; negative predictive value, 91%). To more accurately reflect a real-world population, 50,905 normal controls were added to adjust the COVID prevalence to approximately 5% (2657/58,555), resulting in an area under the curve of 0.780 (95% CI, 0.771 to 0.790) with a specificity of 12.1% and a negative predictive value of 99.2%.ConclusionInfection with SARS-CoV-2 results in electrocardiographic changes that permit the artificial intelligence–enhanced ECG to be used as a rapid screening test with a high negative predictive value (99.2%). This may permit the development of electrocardiography-based tools to rapidly screen individuals for pandemic control.