Journal of acute medicine最新文献

Background: The prevalence and antimicrobial susceptibility of uropathogens can vary with time and geographical location. Empirical antibiotic treatment is frequently started before the urine culture reports are received; thus, the correct selection of antibiotics is imperative, as inappropriate use could increase resistance rates. This study evaluates the distribution trends and antimicrobial susceptibility of common uropathogens in Taiwan to help predict causative pathogens, prevent overly broad antibiotic use, and guide the optimal prescription of empirical antibiotic therapy to improve prognosis. Methods: This retrospective study extracted 5,672,246 urine culture sample data, including outpatient, emergency, and inpatient departments, during 2007-2017 from the Chang Gung Research Database. We examined the trend and susceptibility of uropathogens. Results: The three leading microorganisms were Escherichia coli (E. coli), Klebsiella pneumoniae (K. pneumoniae), and Pseudomonas aeruginosa (P. aeruginosa). E. coli. was more common among females (42.7%) than males (24.7%), while P. aeruginosa was more common among males (10.2%) than females (4.42%). E. coli and K. pneumoniae were highly susceptible to carbapenems, followed by aminoglycosides. Nevertheless, an increased antimicrobial resistance trend was observed in cephalosporins and quinolones. Conclusions: This study establishes E. coli and K. pneumoniae as the predominant uropathogens. Age and gender of patients result in distribution variations of uropathogens, but geographical location does not. In addition, P. aeruginosa occurs more in the sample of elderly and that too among males. Overall, this study could help clinicians choose appropriate antibiotics to treat urinary tract infections per the prevalent uropathogens and local antimicrobial susceptibility patterns.

Rhabdomyolysis is an uncommon complication in patients with severe SARS CoV-2 infection. This report presents a case of rhabdomyolysis in a critically ill patient with acute respiratory distress syndrome owing to COVID-19. The clinical manifestations included fever, tea-colored urine because of myoglobinuria, and elevated serum creatine kinase (CK). Muscle weakness was present and hindered successful weaning from mechanical ventilation. Prompt and aggressive fluid resuscitation was initiated in combination with alkalization of urine and furosemide administration. Treatment was titrated to maintain an adequate urine output with excellent clinical response. Severe COVID-19 infection may be accompanied by the late occurrence of rhabdomyolysis. CK levels should be monitored regularly and patients should be treated promptly with the adequate expansion of the extracellular volume. In our case, the intensive treatment proved to be effective in preventing acute kidney injury and related metabolic complications.

A 62-year-old woman with no systemic disease presented to the emergency department (ED) with acute febrile illness for three days. During her ED course, she developed respiratory distress and refractory cardiogenic shock with ST-elevation on electrocardiography. No occluded coronary vessel was found in angiography, and perimyocarditis was impressed. The serum indirect immunofluorescence assay was positive for scrub typhus. Hemopericardium and subsequently intracranial hemorrhage occurred on the 4th hospital day even under intensive care, and the patient expired. Perimyocarditis is a rare but fatal complication of scrub typhus. Through this case report, we aim to convey the genuine possibility that a fulminant perimyocarditis may occur in a previously healthy adult as a potential complication of scrub typhus. By recognizing the risk factors of scrub typhus-related myocarditis, an ED physician can maintain a high index of suspicion for the cardiac complication and intervene in a timely manner.

Background: COVID-19 infection can occur as a mild, moderate, or severe illness. How patients will be more serious has not been fully revealed so far. To investigate the role of systemic inflammation index (SII), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), mean platelet volume to platelet ratio (MPR), and neutrophil-to-lymphocyte and platelet ratio (NLPR) in determining the severity of COVID-19 patients. Methods: We retrospectively studied 397 patients with confirmed COVID-19 who were admitted to the emergency departments (EDs) between January and June 2020. According to the criteria recommended by World Health Organization, patients were divided into two groups as severe and non-severe cases. Demographic, clinical characteristics, and inflammation parameters of patients were evaluated. Results: The NLPR, SII, MPR, and PLR were significantly increased in severe COVID-19 patients compared to the non-severe patients (p < 0.0001, p = 0.0002, p = 0.0441 , p = 0.0469, respectively). On the other hand, the MPV value did not show a statistically significant difference between cases. In ROC analysis calculated for inflammatory biomarkers in the prediction of COVID-19 severity, NLPR exhibited the largest area under the curve (AUC) at 0.705, with the highest specificity (81.45%) and sensitivity (56.25%) at the optimal cut-off of 0.024 (p < 0.0001). SII (AUC: 0.670) was the second inflammatory parameter with high specificity (63.21%) and sensitivity (66.67%) following NLPR value (p = 0.0002). Conclusion: NLPR and SII may be new inflammatory markers to identify severe COVID-19 patients at the time of admission to the ED.

Background: Mass casualties caused by natural disasters and man-made events may overwhelm local emergency medical services and healthcare systems. Logistics is essential to a successful emergency medical response. Drills have been used in disaster preparedness to validate plans, policies, procedures, and agreements, and identify resource gaps. The application of the internet to facilitate the conduct of exercise was still limited. This study aimed to investigate the optimal preparation of medical supplies by medical emergency response teams (MERTs) during emergencies and disasters using an internet-based drill.

Methods: An internet-based drill based on real-life mass casualty incidents (MCIs) was developed and conducted in Taiwan from June 2017 to July 2018. The drill involved an MCI with 50 events delivered under two scenarios: (1) reduced transfer capacity and well-functioning local healthcare facilities (emergency module); (2) severely reduced transfer capacity and dysfunctional local healthcare facilities (disaster module). For each event, medical supplies commonly prepared by local MERTs in Taiwan were listed in structured questionnaires and participants selected the supplies they would use.

Results: Forty-three senior medical emergency responders participated in the survey (responding rate of 47.3%). Resuscitation-related supplies increased from emergency to disaster module (e.g., intubation from 9.1% to 13.9%; dopamine from 3.2% to 5.0%; all p < 0.001). In the subgroup analysis of events with life-threatening injuries, the utilization of resuscitation-related supplies (e.g., intubation from 46.6% to 65.3%; p < 0.001) remained higher in the disaster than in the emergency module. Compared to emergency medical technicians, physicians and nurses are more likely to use intravenous/intramuscular analgesics.

Conclusions: The severity of scenarios and the professional background of emergency responders have a different utilization of medical supplies in the simulation drill. The internet-based drill may contribute to optimizing the preparedness of medical response to prehospital emergencies and disasters.

Estimation of crowd size for large gatherings is an indispensable metric for event planners, local authorities, and emergency management. Currently, most crowd counting relies on dated methods such as people counters, entrance sensors, and ticket sales. Over the past decade, there has been rapid development in crowd counting techniques and related technology. Despite progress, theoretical advances in crowd counting technology have outpaced practical applications. The emergence of the vast array of crowd counting techniques has added to the challenge of determining those advances that can be most readily implemented. This article aims to provide an overview of promising crowd counting strategies and recent developments applied within the disaster medicine context along with the best use cases and limitations.

To compare the clinical outcomes of a low dose dexamethasone strategy vs. a high-dose dexamethasone strategy in hypoxemic COVID-19 patients. A retrospective observational study comparing low-dose (8 mg) and high-dose dexamethasone (24 mg) of COVID-19 patients admitted from September 1, 2020 to October 31, 2020 in a hospital in Honduras. We included 81 patients with confirmed COVID-19 who required oxygen therapy. The mean age was similar between groups (57.49 vs. 56.95 years). There were more male patients in the group of 24 mg ( p = 0.01). Besides, patients on the 24 mg dose had more prevalence of hypertension ( p = 0.052). More patients in the 24 mg group had a higher rate of invasive mechanical ventilation (15.00% vs. 2.56%, p = 0.058). When evaluating the association between the high dose group and outcomes, we find no significant association with mortality, nosocomial infections, high flow mask, invasive mechanical ventilation, or the need for vasopressors. We find no significant differences in the Kaplan-Meier analysis regarding the survival (log-rank p -value = 0.315). We did not find significant differences between the use of 24 mg and 8 mg of dexamethasone in hypoxemic COVID-19 patients.