http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Multicenter observational study on the reliability of the HEART score
Nicola Parenti,Giuseppe Lippi,Maria Letizia Bacchi Reggiani,Antonio Luciani,Mario Cavazza,Antonello Pietrangelo,Alberto Vegetti,Lucio Brugioni,Laura Bonfanti,Gianfranco Cervellin 대한응급의학회 2019 Clinical and Experimental Emergency Medicine Vol.6 No.3
Objective To rapidly and safely identify the risk of developing acute coronary syndrome in patients with chest pain who present to the emergency department, the clinical use of the History, Electrocardiogram, Age, Risk Factors, and Troponin (HEART) scoring has recently been proposed. This study aimed to assess the inter-rater reliability of the HEART score calculated by a large number of Italian emergency physicians. Methods The study was conducted in three academic emergency departments using clinical scenarios obtained from medical records of patients with chest pain. Twenty physicians, who took the HEART score course, independently assigned a score to different clinical scenarios, which were randomly administered to the participants, and data were collected and recorded in a spreadsheet by an independent investigator who was blinded to the study’s aim. Results After applying the exclusion criteria, 53 scenarios were finally included in the analysis. The general inter-rater reliability was good (kappa statistics [κ], 0.63; 95% confidence interval, 0.57 to 0.70), and a good inter-rater agreement for the high- and low-risk classes (HEART score, 7 to 10 and 0 to 3, respectively; κ, 0.60 to 0.73) was observed, whereas a moderate agreement was found for the intermediate-risk class (HEART score, 4 to 6; κ, 0.51). Among the different items of the HEART score, history and electrocardiogram had the worse agreement (κ, 0.37 and 0.42, respectively). Conclusion The HEART score had good inter-rater reliability, particularly among the high- and low-risk classes. The modest agreement for history suggests that major improvements are needed for objectively assessing this component.
Filippo Numeroso,Gianluigi Mossini,Giuseppe Lippi,Gianfranco Cervellin 대한응급의학회 2017 Clinical and Experimental Emergency Medicine Vol.4 No.4
This meta-analysis aimed to establish the role of standardized emergency department (ED) observation protocols in the management of syncopal patients as an alternative to ordinary admission. A systematic electronic literature search was performed to identify randomized controlled trials or observational studies evaluating syncopal patients managed in ED observation units. Data regarding mean length of stay, rate of etiological diagnosis, admission rate, and incidence of shortterm serious outcomes were extracted. Six mostly single-center, small sized studies characterized by high heterogeneity, were included. A total of 458 patients were included with a balanced sex distribution (male 50.2%), a mean age of 60.1 years, and a considerable prevalence of heart disease (32.4%). Pooled analysis of the outcomes showed a mean stay of 28.2 hours, an etiological diagnosis rate of 67.3%, an admission rate of 18.5%, and a very low incidence of short-term serious outcomes (2.8%). Due to elevated diagnostic yield and low incidence of short-term adverse events, ED observation units-based management strategy seems ideal for patients with syncope. Nevertheless, further research is needed to identify criteria for selecting patients to be managed with this approach, define evaluation protocols, and confirm the safety of this strategy
Influence of a Regular, Standardized Meal on Clinical Chemistry Analytes
Gabriel Lima-Oliveira,Gian Luca Salvagno,Giuseppe Lippi,Matteo Gelati,Martina Montagnana,Elisa Danese,Geraldo Picheth,Gian Cesare Guidi 대한진단검사의학회 2012 Annals of Laboratory Medicine Vol.32 No.4
Background: Preanalytical variability, including biological variability and patient preparation, is an important source of variability in laboratory testing. In this study, we assessed whether a regular light meal might bias the results of routine clinical chemistry testing. Methods: We studied 17 healthy volunteers who consumed light meals containing a standardized amount of carbohydrates, proteins, and lipids. We collected blood for routine clinical chemistry tests before the meal and 1, 2, and 4 hr thereafter. Results: One hour after the meal, triglycerides (TG), albumin (ALB), uric acid (UA), alkaline phosphatase (ALP), Ca, Fe, and Na levels significantly increased, whereas blood urea nitrogen (BUN) and P levels decreased. TG, ALB, Ca, Na, P, and total protein (TP) levels varied significantly. Two hours after the meal, TG, ALB, Ca, Fe, and Na levels remained significantly high, whereas BUN, P, UA, and total bilirubin (BT) levels decreased. Clinically significant variations were recorded for TG, ALB, ALT, Ca, Fe, Na, P, BT, and direct bilirubin (BD) levels. Four hours after the meal, TG, ALB, Ca, Fe, Na, lactate dehydrogenase (LDH), P, Mg, and K levels significantly increased, whereas UA and BT levels decreased. Clinically significant variations were observed for TG, ALB, ALT, Ca, Na, Mg, K, C-reactive protein (CRP), AST, UA, and BT levels. Conclusions: A significant variation in the clinical chemistry parameters after a regular meal shows that fasting time needs to be carefully considered when performing tests to prevent spurious results and reduce laboratory errors, especially in an emergency setting. Background: Preanalytical variability, including biological variability and patient preparation, is an important source of variability in laboratory testing. In this study, we assessed whether a regular light meal might bias the results of routine clinical chemistry testing. Methods: We studied 17 healthy volunteers who consumed light meals containing a standardized amount of carbohydrates, proteins, and lipids. We collected blood for routine clinical chemistry tests before the meal and 1, 2, and 4 hr thereafter. Results: One hour after the meal, triglycerides (TG), albumin (ALB), uric acid (UA), alkaline phosphatase (ALP), Ca, Fe, and Na levels significantly increased, whereas blood urea nitrogen (BUN) and P levels decreased. TG, ALB, Ca, Na, P, and total protein (TP) levels varied significantly. Two hours after the meal, TG, ALB, Ca, Fe, and Na levels remained significantly high, whereas BUN, P, UA, and total bilirubin (BT) levels decreased. Clinically significant variations were recorded for TG, ALB, ALT, Ca, Fe, Na, P, BT, and direct bilirubin (BD) levels. Four hours after the meal, TG, ALB, Ca, Fe, Na, lactate dehydrogenase (LDH), P, Mg, and K levels significantly increased, whereas UA and BT levels decreased. Clinically significant variations were observed for TG, ALB, ALT, Ca, Na, Mg, K, C-reactive protein (CRP), AST, UA, and BT levels. Conclusions: A significant variation in the clinical chemistry parameters after a regular meal shows that fasting time needs to be carefully considered when performing tests to prevent spurious results and reduce laboratory errors, especially in an emergency setting.