The soluble cluster of differentiation 14 (or presepsin) is a free fragment of glycoprotein expressed on monocytes and macrophages. Although many studies have been conducted recently, the diagnostic performance of presepsin for sepsis remains debated. We performed a systematic review and meta-analysis of the available literature to assess the accuracy of presepsin for the diagnosis of sepsis in adult patients and compared the performance between presepsin, C-reactive protein (CRP), and procalcitonin (PCT). A comprehensive systemic search was conducted in PubMed, EMBASE, and Google Scholar for studies that evaluated the diagnostic accuracy of presepsin for sepsis until January 2017. The hierarchical summary receiver operating characteristic method was used to pool individual sensitivity, specificity, diagnostic odds ratio (DOR), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and area under the receiver operating characteristic curve (AUC). Eighteen studies, comprising 3470 patients, met our inclusion criteria. The pooled diagnosis sensitivity and specificity of presepsin for sepsis were 0.84 (95% CI 0.80–0.87) and 0.76 (95% CI 0.67–0.82), respectively. Furthermore, the pooled DOR, PLR, NLR, and AUC were 16 (95% CI 10–25), 3.4 (95% CI 2.5–4.6), 0.22 (95% CI 0.17–0.27), and 0.88 (95% CI 0.85–0.90), respectively. Significant heterogeneity was found in both sensitivities (Cochrane Q = 137.43, p < 0.001, I 2 = 87.63%) and specificities (Cochrane Q = 180.76, p < 0.001, I 2 = 90.60%). Additionally, we found no significant difference between presepsin and PCT (AUC 0.87 vs. 0.86) or CRP (AUC 0.85 vs. 0.85). However, for studies conducted in ICU, the pooled sensitivity of presepsin was found to be higher than PCT (0.88, 95% CI 0.82–0.92 vs. 0.75, 95% CI 0.68–0.81), while the pooled specificity of presepsin was lower than PCT (0.58, 95% CI 0.42–0.73 vs. 0.75, 95% CI 0.65–0.83). Based on the results of our meta-analysis, presepsin is a promising marker for diagnosis of sepsis as PCT or CRP, but its results should be interpreted more carefully and cautiously since too few studies were included and those studies had high heterogeneity between them. In addition, continuing re-evaluation during the course of sepsis is advisable.

Emergency department (ED) crowding continues to be an important health care issue in modern countries. Among the many crucial quality indicators for monitoring the throughput process, a patient’s length of stay (LOS) is considered the most important one since it is both the cause and the result of ED crowding. The aim of this study is to identify and quantify the influence of different patient-related or diagnostic activities-related factors on the ED LOS of discharged patients. This is a retrospective electronic data analysis. All patients who were discharged from the ED of a tertiary teaching hospital in 2013 were included. A multivariate accelerated failure time model was used to analyze the influence of the collected covariates on patient LOS. A total of 106,206 patients were included for analysis with an overall medium ED LOS of 1.46 (interquartile range = 2.03) hours. Among them, 96% were discharged by a physician, 3.5% discharged against medical advice, 0.5% left without notice, and only 0.02% left without being seen by a physician. In the multivariate analysis, increased age (>80 vs <20, time ratio (TR) = 1.408, p<0.0001), higher acuity level (triage level I vs. level V, TR = 1.343, p<0.0001), transferred patients (TR = 1.350, p<0.0001), X-rays obtained (TR = 1.181, p<0.0001), CT scans obtained (TR = 1.515, p<0.0001), laboratory tests (TR = 2.654, p<0.0001), consultation provided (TR = 1.631, p<0.0001), observation provided (TR = 8.435, p<0.0001), critical condition declared (TR = 1.205, p<0.0001), day-shift arrival (TR = 1.223, p<0.0001), and an increased ED daily census (TR = 1.057, p<0.0001) lengthened the ED LOS with various effect sizes. On the other hand, male sex (TR = 0.982, p = 0.002), weekend arrival (TR = 0.928, p<0.0001), and adult non-trauma patients (compared with pediatric non-trauma, TR = 0.687, p<0.0001) were associated with shortened ED LOS. A prediction diagram was made accordingly and compared with the actual LOS. The influential factors on the ED LOS in discharged patients were identified and quantified in the current study. The model’s predicted ED LOS may provide useful information for physicians or patients to better anticipate an individual’s LOS and to help the administrative level plan its staffing policy.

Background: Graduating from medical school and beginning independent practice appears to be a major transition for medical students across the world. It is often reported that medical graduates are underprepared for independent practice. Most previous studies on undergraduates’ preparedness are cross-sectional. This study aimed to characterize the development and trend of medical students’ preparedness and its association with other objective and subjective indicators from the undergraduate to postgraduate periods. Methods: This was a prospective cohort study. The participants were recruited and followed from two years before graduation to the postgraduate period. The preparedness for independent practice, professional identity, and teamwork experience were biannually measured using previously validated questionnaires. The participants’ basic demographic information, clinical learning marks from the last two years, and national board exam scores were also collected. Results: A total of 85 participants completed 403 measurements in the 5 sequential surveys. The mean age at recruitment was 23.6, and 58 % of participants were male. The overall total preparedness score gradually increased from 157.3 (SD=21.2) at the first measurement to 175.5 (SD=25.6) at the fifth measurement. The serial individual preparedness scores revealed both temporal differences within the same learner and individual differences across learners. Despite the variations, a clear, steady increase in the overall average score was observed. Participants were least prepared in the domain of patient management at first, but the score increased in the subsequent measurements. The participants with better final preparedness had better professional identity (p<0.01), better teamwork experience (p < 0.01), and higher average clinical rotation marks (p<0.05). Conclusions: The preparedness for practice of medical students from the undergraduate to postgraduate periods is associated with their professional identity, teamwork experience, and objective clinical rotation endpoint. Although preparedness generally increases over time, educators must understand that there are temporal fluctuations and individual differences in learners’ preparedness.

Emergency department (ED) length of stay (LOS) is associated with ED crowding and related complications. Previous studies either analyzed single patient disposition groups or combined different endpoints as a whole. The aim of this study is to evaluate different effects of relevant factors affecting ED LOS among different patient disposition groups.This is a retrospective electronic data analysis. The ED LOS and relevant covariates of all patients between January 2013 and December 2013 were collected. A competing risk accelerated failure time model was used to compute endpoint type-specific time ratios (TRs) for ED LOS.A total of 149,472 patients was included for analysis with an overall medium ED LOS of 2.15 [interquartile range (IQR) = 6.51] hours. The medium LOS for discharged, admission, and mortality patients was 1.46 (IQR = 2.07), 11.3 (IQR = 33.2), and 7.53 (IQR = 28.0) hours, respectively. In multivariate analysis, age (TR = 1.012, P < 0.0001], higher acuity (triage level I vs level V, TR = 2.371, P < 0.0001), pediatric nontrauma (compared with adult nontrauma, TR = 3.084, P < 0.0001), transferred patients (TR = 2.712, P < 0.0001), and day shift arrival (compared with night shift, TR = 1.451, P < 0.0001) were associated with prolonged ED LOS in the discharged patient group. However, opposite results were noted for higher acuity (triage level I vs level V, TR = 0.532, P < 0.0001), pediatric nontrauma (TR = 0.375, P < 0.0001), transferred patients (TR = 0.852, P < 0.0001), and day shift arrival (TR = 0.88, P < 0.0001) in the admission patient group.Common influential factors such as age, patient entity, triage acuity level, or arrival time may have varying effects on different disposition groups of patients. These findings and the suggested model could be used for EDs to develop individually tailored approaches to minimize ED LOS and further improve ED crowding status.

Objectives. This study aimed to identify the risk factors for mortality and the impact of dialysis modalities on the survival in SLE patients with end-stage renal disease (ESRD). Methods. This retrospective nationwide population-based study using the National Health Insurance Research Database in Taiwan collected data from 1073 SLE ESRD patients starting maintenance dialysis between March 1997 and December 2006. A multivariate Cox regression hazard model was applied to identify factors predicting mortality in cohorts using different dialysis modalities and the impact of dialysis modalities on the survival outcome of these patients of both genders. Results. The major threat to SLE patients on maintenance dialysis was infections. For SLE patients undergoing regular haemodialysis (HD), age, male sex, and high or absence of daily steroid dosing were predictive of higher mortality. For those undergoing regular peritoneal dialysis (PD), age and high daily steroid dosing were the predictive factors. After adjusting confounding factors, male patients with HD had a significantly poorer outcome than the counterpart with PD or female patients with HD. There was no survival difference among female SLE patients with different dialysis modalities. Conclusion. No underlying comorbidities were identified to increase the mortality of patients receiving particular dialysis modalities after correcting for age and steroid factors. There was no impact of different dialysis modalities on survival of female SLE patients. However, male SLE patients seemed susceptible to fatal events complicated by HD, which led to an inferior survival rate.

Four types of antivenom are used to treat snakebites by the six species of venomous snakes native to Taiwan. Research into antivenom use in Taiwan and its outcomes, as well as the utility of current Taiwan Poison Control Center guidelines for antivenom use, has been limited. We aimed to provide increased understanding by investigating the treatment and outcomes of patients treated for snakebite in Taiwan. On the basis of data collected from the 2009 Taiwan National Health Insurance database, patients with snakebites were identified and categorized into two sets of groups according to types of antivenom administered. The relationships between antivenom types, dosage and the variables of antibiotic use, surgical intervention, acute respiratory failure acute, renal failure, antivenom-related allergic reaction, mortality, need for hospital admission, and length of hospitalization were analyzed by multivariate logistic regression and the Kruskal-Wallis test. The majority of patients were successfully treated by administration of 1 vial of antivenom and discharged without complications. However, patients treated for neurotoxic-type venom snakebite required administration of larger doses of antivenom and > 30% required surgical intervention, particularly those treated for Chinese cobra snakebite. Approximately 10% of patients were administered two types of antivenom. The results partially support Taiwan Poison Control Center guidelines for treating the hemorrhagic-type venom snakebite. However, deficit in the guidelines for treatment of neurotoxic-type venom snakebite is obvious and new guidelines for treatment of neurotoxic-type venom snakebite and diagnosis should be developed.