Clinical Audit on Chronic Obstructive Pulmonary Disease (COPD) Management in Primary Care: A Quality Improvement Project from Hong Kong.

Objective: To enhance the quality of COPD management in primary care via a two-phase clinical audit in Hong Kong. Methods: COPD patients aged 40 or above and had attended any of the 73 public primary care clinics under the Hospital Authority of Hong Kong (HAHK) for follow up (FU) during the audit period were included. Performance of six evidence-based audit criteria on COPD care was reviewed in phase 1 from 1st April 2017 to 31st March 2018. Service gaps were identified and a series of quality improvement strategies were executed in the one-year implementation phase. The outcome of the service enhancement was assessed in phase 2 from 1st April 2019 to 31st March 2020. Student's t-test and the chi-square test were used to examine the statistically significant differences between the two phases. Results: Totally 10,385 COPD cases were identified in phase 1, the majority were male (87.7%) and the mean age was 75.3±9.9 years. Among the 3102 active smokers, 1788 (57.6%) were referred to receive the smoking cessation counselling and 1578 (50.9%) actually attended it. A total of 4866 cases (46.9%) received seasonal influenza vaccine (SIV) and 4227 cases (40.7%) received pneumococcal vaccine (PCV). A total of 1983 patients (19.1%) had spirometry test done before and 1327 patients (12.8%) had history of hospital admission due to acute exacerbation of COPD (AECOPD). After the proactive implementation phase, performance on all criteria was significantly improved in phase 2, with a marked increase in the SIV and PCV uptake rate and spirometry performance rate. Most importantly, a significant reduction in AECOPD rate leading to hospital admission had been achieved (9.6%, P<0.00001). Conclusion: COPD care at all public primary care clinics of HAHK had been significantly improved for all audit criteria via the systematic team approach, which, in turn, reduced the hospital admission rate and helped relieve the burden of the health care system.

A Quality Improvement Project to Increase Adherence to a Pain, Agitation, and Delirium Protocol in the Intensive Care Unit.

BACKGROUND: In recent years, the incidence of delirium has grown to epidemic proportions in the intensive care setting with up to 80% of mechanically ventilated patients being affected. This can lead to adverse patient outcomes such as increased lengths of hospital stay, increased mortality rates, and increased long-term cognitive impairment. OBJECTIVES: The objective of this project is to determine whether a quality improvement project can increase adherence to an existing pain, agitation, and delirium (PAD) protocol for enhanced patient outcomes. METHODS: Chart audits were conducted to determine baseline compliance, use of the PAD protocol was measured, and the type of medications administered to each mechanically ventilated patient was assessed. Using the Knowledge-to-Action framework, a multidisciplinary, multidimensional educational module was then developed and implemented that included an online tutorial, point-of-care reminders, written materials, and verbal coaching. A 3-month postimplementation chart audit was conducted to determine whether increased protocol competence was achieved. RESULTS: Protocol use unexpectedly decreased from 74% to 41% (P < .01);however, compliance with medication recommendations did increase despite the decrease in use. Intravenous opioid use increased from 12% to 40% (P ≤ .001), whereas sedative propofol infusions decreased from 82% to 35% (P ≤ .001). CONCLUSIONS: The implementation of a multidimensional, multidisciplinary project was successful in increasing compliance to the clinical practice guidelines for the management of PAD in adult intensive care unit patients, despite a decrease in protocol use. This unanticipated decrease in protocol use indicates the need for additional research in this area. Future recommendations also include a review of the existing PAD protocol to determine whether revisions could be made to better suit the needs of the staff while also improving patient outcomes in the arena of delirium experienced during critical care stays.

Combined in vivo imaging and omics approaches reveal metabolism of icaritin and its glycosides in zebrafish larvae.

Flavonoids isolated from Herba Epimedii such as icaritin, icariin and epimedin C have been suggested as potential bone anabolic compounds. However, the "specific localized effects" of these flavonoids in bone, in vivo, and the metabolism of these flavonoids in zebrafish larvae have never been demonstrated. In this study, we used multiple methods including in vivo imaging, drug metabolites profiling, transcriptomic and proteomic approaches to determine the mechanisms involved in the distribution and metabolism of the flavonoids in zebrafish larvae by measuring the fluorescence emission, in vivo, of icaritin and its glycoside derivatives. The fluorescence emission mechanism of icaritin in vitro was identified by spectrophotometric analysis, and the fluorescent property of icaritin was used as a probe to visualize the metabolism and distribution of icaritin and its glycoside derivatives in zebrafish larvae. Phase I and phase II metabolism of icaritin and its derivatives were identified in zebrafish by mass spectrometry. The combined transcriptomics and proteomics demonstrate a high degree of conservation of phase I and phase II drug metabolic enzymes between zebrafish larvae and mammals. Icaritin and its glycoside derivatives were demonstrated using combined approaches of in vivo imaging, drug metabolites identification, and transcriptomic and proteomic profiling to illustrate phase I and phase II metabolism of the flavonoids and their distribution in bone of zebrafish larvae. This study provides a new methodological model for use of the zebrafish larvae to examine drug metabolism.

The effects of steep trendelenburg positioning on intraocular pressure during robotic radical prostatectomy.

BACKGROUND: Intraocular pressure (IOP) increases in steep Trendelenburg positioning, but the magnitude of the increase has not been quantified. In addition, the factors contributing to this increase have not been studied in robot-assisted prostatectomy cases. In this study, we sought to quantify the changes in IOP and examine perioperative factors responsible for these changes while patients are in the steep Trendelenburg position during robotic prostatectomy. METHODS: In this prospective study, we measured IOP using a Tono-pen XL in 33 patients undergoing robot-assisted prostatectomy. The IOP was measured before anesthesia while supine and awake (baseline T1), anesthetized and supine (T2), anesthetized after insufflation of the abdomen with carbon dioxide (CO(2)) (T3), anesthetized in steep Trendelenburg (T4), anesthetized in steep Trendelenburg at the end of the procedure (T5), anesthetized supine before awakening (T6), and 1 hr after awakening in the supine position (T7). RESULTS: On average, IOP was 13.3 +/- 0.58 (mean +/- SE) mm Hg higher at the end of the period of steep Trendelenburg position (T5) compared with supine position T1 (P < 0.0001). The least square estimates for each time point in mm Hg were as follows: T1 = 15.7, T2 = 10.7, T3 = 14.6, T4 = 25.2, T5 = 29.0, T6 = 22.2, T7 = 17.0. Using univariate mixed effects models for the T1-T5 time periods, peak airway pressure, mean arterial blood pressure, ETco(2), and time were significant predictors of the IOP increase, whereas age, body mass index, blood loss, volume of IV fluid administered, mean airway pressure, and desflurane concentration were not predictive. In T4-T5, which involved no significant positional or perioperative interventions, we performed a multivariate analysis to evaluate predictors of IOP increases. Surgical duration (in minutes) and ETco(2) were the only significant variables predicting changes in IOP during stable and prolonged Trendelenburg positioning. On average, IOP increased 0.21 mm Hg per mm Hg increase in ETco(2) after adjusting for time. An increase of 0.05 mm Hg in IOP per minute of surgery on average was observed during this period in the Trendelenburg position after adjusting for ETco(2). CONCLUSIONS: IOP reached peak levels at the end of steep Trendelenburg position (T5), on average 13 mm Hg higher than the preanesthesia induction (T1) value. Surgical duration and ETco(2) were the only significant predictors of IOP increase in the Trendelenburg position (T4-T5).