Background: Poisoning is a significant public health problem worldwide and is one of the most common reasons for visiting emergency departments (EDs), but factors that help to predict overall poisoning-related fatality have rarely been elucidated. Using 1512 subjects from a hospital-based study, we sought to describe the demographic and clinical characteristics of poisoning patients and to identify predictors for poisoning-related fatality. Methods: Between January 2001 and December 2002 we prospectively recruited poisoning patients through the EDs of two medical centers in southwest Taiwan. Interviews were conducted with patients within 24 hours after admission to collect relevant information. We made comparisons between survival and fatality cases, and used logistic regressions to identify predictors of fatality. Results: A total of 1512 poisoning cases were recorded at the EDs during the study period, corresponding to an average of 4.2 poisonings per 1000 ED visits. These cases involved 828 women and 684 men with a mean age of 38.8 years, although most patients were between 19 and 50 years old (66.8%), and 29.4% were 19 to 30 years. Drugs were the dominant poisoning agents involved (49.9%), followed by pesticides (14.5%). Of the 1512 patients, 63 fatalities (4.2%) occurred. Paraquat exposure was associated with an extremely high fatality rate (72.1%). The significant predictors for fatality included age over 61 years, insufficient respiration, shock status, abnormal heart rate, abnormal body temperature, suicidal intent and paraquat exposure. Conclusion: In addition to well-recognized risk factors for fatality in clinical settings, such as old age and abnormal vital signs, we found that suicidal intent and ingestion of paraquat were significant predictors of poisoning-related fatality. Identification of these predictors may help risk stratification and the development of preventive interventions.
Electrical impedance tomography (EIT), a noninvasive and radiation-free medical imaging technique, has been used for continuous real-time regional lung aeration. However, adhesive electrodes could cause discomfort and increase the risk of skin injury during prolonged measurement. Additionally, the conductive gel between the electrodes and skin could evaporate in long-term usage and deteriorate the signal quality. To address these issues, in this work, textile electrodes integrated with a clothing belt are proposed to achieve EIT lung imaging along with a custom portable EIT system. The simulation and experimental results have verified the validity of the proposed portable EIT system. Furthermore, the imaging results of using the proposed textile electrodes were compared with commercial electrocardiogram electrodes to evaluate their performance.
To explore the association of patient injury patterns and entrapped locations inside damaged buildings in the 2016 Taiwan earthquake. A retrospective analysis was conducted using the Tainan incident registry system. Residents inside nine conjunctive, 16-story (49.3 m in height) reinforced concrete buildings were categorized as non-injured, injured, and dead. Residents were classified into different groups according to their entrapped locations in height and the severity of building damage. The field triage acuity and trauma severity among groups were compared. Statistical significance was set at the level of 0.05. There were 309 enrollees with 76 (24.6%) non-injured, 118 (38.2%) injured, and 115 (37.2%) dead. Residents either in the high floors (odds ratio [OR] = 2.9, 95% CI: 1.5-5.8, p = 0.003) or in the collapsed buildings (OR = 18.2, 95% CI: 7.6-43.6, p < 0.001) were more likely to be dead. Injured patients who were located in the high floors were more likely to have severe field triage acuities (adjusted OR = 14.7, 95% CI: 1.8-118.0, p = 0.012); intracranial hemorrhage (12.5%), intrathoracic injury (18.8%), or intra-abdominal damage (12.5%) (All p < 0.05); the need for emergency surgical intervention (31.3%, p = 0.035); and major trauma (18.8%, p = 0.001). Residents in the collapsed buildings were more likely to have a crush injury (80.0%, p < 0.001) or crush syndrome (80.0%, p < 0.001). People entrapped at different heights of floors or in differently damaged buildings could have a distinct pattern of injury. Our findings may facilitate strategic approaches of patients entrapped in damaged buildings and may contribute to future training for field searches and rescues after earthquakes.