STUDY DESIGN: A sub-analysis of data from a prevalence study of medication-related visits among patients at the ED of Hospital Universiti Sains Malaysia was conducted. The study took place over a period of six weeks from December 2014 to January 2015 involving 434 eligible patients. Data on demography, conventional medication, and TCM uses were collected from patient interview and the medical folders.
RESULTS: Among this cohort, 66 patients (15.2%, 95%CI 12.0, 19.0) reported concurrent TCM use. Sixteen (24.2%) of the TCM users were using more than one (1) type of TCM, and 17 (25.8%) came to the ED for medication-related reasons. Traditional Malay Medicine (TMM) was the most frequently used TCM by the patients. Five patients (7.6%) sought treatment at the ED for medical problems related to use of TCM.
CONCLUSION: Patients seeking medical care at the ED may be currently using TCM. ED-physicians should be aware of these therapies and should always ask patients about the TCM use.
Objective: This case control study evaluates the performance of Mortality in Emergency Department Sepsis Score (MEDS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), and Rapid Acute Physiology Score (RAPS) in predicting risk of mortality in ED adult patients with renal abscess. This will help emergency physicians, surgeons, and intensivists expedite the time-sensitive decision-making process.
Methods: Data from 152 adult patients admitted to the EDs of two training and research hospitals who had undergone a contrast-enhanced computed tomography scan of the abdomen and was diagnosed with renal abscess from January 2011 to December 2015 were analyzed, with the corresponding MEDS, MEWS, REMS, RAPS, and mortality risks calculated. Ability to predict patient mortality was assessed via receiver operating curve analysis and calibration analysis.
Results: MEDS was found to be the best performing physiologic scoring system, with sensitivity, specificity, and accuracy of 87.50%, 88.89%, and 88.82%, respectively. Area under receiver operating characteristic curve (AUROC) value was 0.9440, and negative predictive value was 99.22% with a cutoff of 9 points.
Conclusion: Our study is the largest of its kind in examining ED patients with renal abscess. MEDS has been demonstrated to be superior to MEWS, REMS, and RAPS in predicting mortality for this patient population. We recommend its use for evaluation of disease severity and risk stratification in these patients, to expedite identification of critically ill patients requiring urgent intervention.
OBJECTIVE: This paper proposes a novel technique for reorganisation of opinion order to interval levels (TROOIL) to prioritise the patients with MCDs in real-time remote health-monitoring system.
METHODS: The proposed TROOIL technique comprises six steps for prioritisation of patients with MCDs: (1) conversion of actual data into intervals; (2) rule generation; (3) rule ordering; (4) expert rule validation; (5) data reorganisation; and (6) criteria weighting and ranking alternatives within each rule. The secondary dataset of 500 patients from the most relevant study in a remote prioritisation area was adopted. The dataset contains three diseases, namely, chronic heart disease, high blood pressure (BP) and low BP.
RESULTS: The proposed TROOIL is an effective technique for prioritising patients with MCDs. In the objective validation, remarkable differences were recognised among the groups' scores, indicating identical ranking results. In the evaluation of issues within all scenarios, the proposed framework has an advantage of 22.95% over the benchmark framework.
DISCUSSION: Patients with the most severe MCD were treated first on the basis of their highest priority levels. The treatment for patients with less severe cases was delayed more than that for other patients.
CONCLUSIONS: The proposed TROOIL technique can deal with multiple DM problems in prioritisation of patients with MCDs.
METHODS: This pre-post, single-arm, quasi-experimental study randomly sampled 140 healthcare providers working in the Emergency Department of Hospital Ampang, Malaysia. Parameters of CPR quality, namely chest compression rate and depth were compared among participants when they performed CPR with and without an AV CPR feedback device. The efficacy of the AV CPR feedback device was assessed using the Chi-square test and Generalised Estimating Equations (GEE) models.
RESULTS: The use of an AV CPR feedback device increased the proportion of healthcare providers achieving recommended depth of chest compressions from 38.6% (95% Confidence Interval, 95%CI: 30.5, 47.2) to 85.0% (95%CI: 78.0, 90.5). A similar significant improvement from 39.3% (95%CI: 31.1, 47.9) to 86.4% (95%CI: 79.6, 91.6) in the recommended rate of chest compressions was also observed. Use of the AV CPR device significantly increased the likelihood of a CPR provider achieving recommended depth of chest compressions (Odds Ratio, OR=13.01; 95%CI: 7.12, 24.01) and rate of chest compressions (OR=13.00; 95%CI: 7.21, 23.44).
CONCLUSION: The use of an AV CPR feedback device significantly improved the delivered rate and depth of chest compressions closer to American Heart Association (AHA) recommendations. Usage of such devices within real-life settings may help in improving the quality of CPR for patients receiving CPR.
METHODS: 99 adult patients at four training and research hospitals who had undergone an abdominal contrast computed tomography scan in the ED with the final diagnosis of splenic abscess from January 2004 to November 2017 were recruited. Evaluation for sarcopenia was performed via calculating the psoas cross-sectional area at the level of the third lumbar vertebra and normalising for height, before checking it against pre-defined values. Univariate analyses were used to evaluate the differences between survivors and non-survivors. Sensitivity, specificity, and predictive values of the presence of sarcopenia in predicting in-hospital mortality were calculated. Kaplan-Meier methods, log-rank test, and Cox proportional hazards model were also performed to examine survival between groups with sarcopenia versus non-sarcopenia.
RESULTS: Splenic abscess patients with sarcopenia were 7.56 times more at risk of in-hospital mortality than those without sarcopenia (multivariate-adjusted HR: 7.56; 95% CI: 1.55-36.93). Presence of sarcopenia was found to have 84.62% sensitivity and 96.49% negative predictive value in predicting mortality.
CONCLUSION: Sarcopenia is associated with poor prognoses of in-hospital mortality in patients with splenic abscess presenting to the ED. We recommend its use in the ED to rapidly risk stratify and predict outcome to guide treatment strategies.