Evaluation of multi-component interventions for prevention of nosocomial pneumonia in older adults: a randomized, controlled trial.

AIMS: To evaluate the efficacy of multi-component interventions for prevention of hospital-acquired pneumonia in older patients hospitalized in geriatric wards. METHODS: A randomized, parallel-group, controlled trial was undertaken in patients aged 65 and above who were admitted to a tertiary hospital geriatric unit from January 1, 2016 to June 30, 2018 for an acute non-respiratory illness. Participants were randomized by to receive either a multi-component intervention (consisting of reverse Trendelenburg position, dysphagia screening, oral care and vaccinations), or usual care. The outcome measures were the proportion of patients who developed hospital-acquired pneumonia during hospitalisation, and mean time from randomization to the next hospitalisation due to respiratory infections in 1 year. RESULTS: A total of 123 participants (median age, 85; 43.1% male) were randomized, (n = 59) to intervention group and (n = 64) to control group. The multi-component interventions did not significantly reduce the incidence of hospital-acquired pneumonia but did increase the mean time to next hospitalisation due to respiratory infection (11.5 months vs. 9.5 months; P = 0.049), and reduced the risk of hospitalisation in 1 year (18.6% vs. 34.4%; P = 0.049). Implementation of multi-component interventions increased diagnoses of oropharyngeal dysphagia (35.6% vs. 20.3%; P < 0.001) and improved the influenza (54.5% vs 17.2%; P < 0.001) and pneumococcal vaccination rates (52.5% vs. 20.3%; P < 0.001). CONCLUSIONS: The nosocomial pneumonia multi-component intervention did not significantly reduce the incidence of hospital-acquired pneumonia during hospitalisation but reduce subsequent hospitalisations for respiratory infections. CLINICAL TRIAL REGISTRATION: ClinicalTrial.gov, NCT04347395.

A clinical prediction model for hospitalized COPD exacerbations based on "treatable traits".

Background: Assessing risk of future exacerbations is an important component in COPD management. History of exacerbation is a strong and independent predictor of future exacerbations, and the criterion of ≥2 nonhospitalized or ≥1 hospitalized exacerbation is often used to identify high-risk patients in whom therapy should be intensified. However, other factors or "treatable traits" also contribute to risk of exacerbation. Objective: The objective of the study was to develop and externally validate a novel clinical prediction model for risk of hospitalized COPD exacerbations based on both exacerbation history and treatable traits. Patients and methods: A total of 237 patients from the COPD Registry of Changi General Hospital, Singapore, aged 75±9 years and with mean post-bronchodilator FEV1 60%±20% predicted, formed the derivation cohort. Hospitalized exacerbation rate was modeled using zero-inflated negative binomial regression. Calibration was assessed by graphically comparing the agreement between predicted and observed annual hospitalized exacerbation rates. Predictive (discriminative) accuracy of the model for identifying high-risk patients (defined as experiencing ≥1 hospitalized exacerbations) was assessed with area under the curve (AUC) and receiver operating characteristics analyses, and compared to other existing risk indices. We externally validated the prediction model using a multicenter dataset comprising 419 COPD patients. Results: The final model included hospitalized exacerbation rate in the previous year, history of acute invasive/noninvasive ventilation, coronary artery disease, bronchiectasis, and sputum nontuberculous mycobacteria isolation. There was excellent agreement between predicted and observed annual hospitalized exacerbation rates. AUC was 0.789 indicating good discriminative accuracy, and was significantly higher than the AUC of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) risk assessment criterion (history of ≥1 hospitalized exacerbation in the previous year) and the age, dyspnea, and obstruction index. When applied to the independent multicenter validation cohort, the model was well-calibrated and discrimination was good. Conclusion: We have derived and externally validated a novel risk prediction model for COPD hospitalizations which outperforms several other risk indices. Our model incorporates several treatable traits which can be targeted for intervention to reduce risk of future hospitalized exacerbations.

Guillain-Barré syndrome associated with pulmonary tuberculosis.

A 47-year-old male smoker admitted complaining of progressive bilateral lower-limb and upper-limb weakness, without any numbness. He also complained of productive cough and fever for the last 2 weeks before admission. There were no nasal symptoms, sore throat, night sweats, loss of appetite and weight, nor did he have any gastrointestinal symptoms.