Archives of Academic Emergency Medicine最新文献

Introduction: Noninvasive positive pressure ventilation (NIPPV) is recognized as an efficient treatment for patients with acute respiratory failure (ARF) in emergency department (ED). This study aimed to develop a scoring system for predicting successful weaning from NIPPV in patients with ARF.

Methods: In this retrospective cohort study patients with ARF who received NIPPV in the ED of Ramathibodi Hospital, Thailand, between January 2020 and March 2022 were evaluated. Factors associated with weaning from NIPPV were recorded and compared between cases with and without successful weaning from NIPPV. Multivariable logistic regression analysis was used to develop a predictive model for weaning from NIPPV in ED.

Results: A total of 494 eligible patients were treated with NIPPV of whom 203(41.1%) were successfully weaned during the study period. Based on the multivariate analysis the successful NIPPV weaning (SNOW) score was designed with six factors before discontinuation: respiratory rate, heart rate ≤ 100 bpm, systolic blood pressure ≥ 100 mmHg, arterial pH≥ 7.35, arterial PaCO2, and arterial lactate. The scores were classified into three groups: low, moderate, and high. A score of >14.5 points suggested a high probability of successful weaning from NIPPV with a positive likelihood ratio of 3.58 (95%CI: 2.56-4.99; p < 0.001). The area under the receiver operating characteristic (ROC) curve of the model in predicting successful weaning was 0.79 (95% confidence interval (CI): 0.75-0.83).

Conclusion: It seems that the SNOW score could be considered as a helpful tool for predicting successful weaning from NIPPV in ED patients with ARF. A high predictive score, particularly one that exceeds 14.5, strongly suggests a high likelihood of successful weaning from NIPPV.

The optimal therapy for deep wounds is based on the early debridement of necrotic tissue followed by wound coverage to avoid a systemic inflammatory response and optimize scar-free healing. The outcomes are affected by available resources and underlying patient factors, which cause challenges in wound care and suboptimal outcomes. Here we report a patient with deep dermal injury wounds, who was treated with platelet-rich fibrin (PRF) gel, plasma rich in growth factor (PRGF) gel, and acellular fish skin. Patient's outcomes regarding healing and scar quality were collected objectively and subjectively for one year after the injury. Wounds treated with acellular fish skin demonstrated accelerated wound healing, a significantly higher water-storage capacity, and better pain relief. Furthermore, improved functional and cosmetic outcomes, such as elasticity, skin thickness, and pigmentation, were demonstrated. It seems that, the PRGF gel and PRF in combination with acellular fish skin grafts resulted in the faster healing of wounds and better functional and aesthetic outcomes than split-thickness skin grafts treatment.

Introduction: Ignoring outliers in data may lead to misleading results. Length of stay (LOS) is often considered a count variable with a high frequency of outliers. This study exemplifies the potential of robust methodologies in enhancing the accuracy and reliability of analyses conducted on skewed and outlier-prone count data of LOS.

Methods: The application of Zero-Inflated Poisson (ZIP) and robust Zero-Inflated Poisson (RZIP) models in solving challenges posed by outlier LOS data were evaluated. The ZIP model incorporates two components, tackling excess zeros with a zero-inflation component and modeling positive counts with a Poisson component. The RZIP model introduces the Robust Expectation-Solution (RES) algorithm to enhance parameter estimation and address the impact of outliers on the model's performance.

Results: Data from 254 intensive care unit patients were analyzed (62.2% male). Patients aged 65 or older accounted for 58.3% of the sample. Notably, 38.6% of patients exhibited zero LOS. The overall mean LOS was 5.89 (± 9.81) days, and 9.45% of cases displayed outliers. Our analysis using the RZIP model revealed significant predictors of LOS, including age, underlying comorbidities (p<0.001), and insurance status (p=0.013). Model comparison demonstrated the RZIP model's superiority over ZIP, as evidenced by lower Akaike information criteria (AIC) and Bayesians information criteria (BIC) values.

Conclusions: The application of the RZIP model allowed us to uncover meaningful insights into the factors influencing LOS, paving the way for more informed decision-making in hospital management.

Introduction: During the unprecedented COVID-19 lockdowns, road traffic was limited, and a change in the traumatic emergency admission pattern was anticipated. We conducted the current systematic review and meta-analysis to assess the impact of the COVID-19 pandemic on hospital admissions due to road traffic crashes.

Methods: This systematic review and meta-analysis was conducted based on the Joanna Briggs Institute (JBI) instructions. The following databases were searched: PubMed, ISI Web of Knowledge, Scopus, ProQuest, and the Cochrane Library. Two independent reviewers screened articles based on the inclusion criteria for the review and assessed the methodological quality of the included studies using an appropriate appraisal checklist, introduced by the JBI, based on the study type. The meta-analysis was performed using Comprehensive meta-analysis (CMA) software. Considering the heterogeneity among studies, a random effect model was adopted to estimate the pooled effect with 95% confidence interval (CI) for binary outcomes.

Results: A total of 13 studies were included in this systematic review, and all of them were considered for meta-analysis. According to the meta-analysis, differences in hospital admission rates during the COVID-19 pandemic and one year before this pandemic were statistically significant [RR: 0.685 CI 95% (0.578 -0.813) p<0.00001]. The heterogeneity assessment of the included studies in the meta-analysis showed high heterogeneity (I²=78%, p<0.00001).

Conclusion: The results of this systematic review showed that the COVID-19 pandemic dramatically reduced the number of hospital admissions related to road traffic crashes because of both quarantines and lifestyle changes. Health policymakers and top health managers might use the results of this systematic review in similar contexts in the future.

The simultaneous occurrence of intestinal ascariasis and appendicitis presents a challenge in diagnosing pediatric abdominal emergencies due to overlapping symptoms. We present the case of an 8-year-old boy who experienced acute abdominal pain, characterized by a severe cramp in the mid and lower right abdomen, with pain rated 7 out of 10, a mild fever, and continuous nausea. The initial evaluation suggested appendicitis, supported by an Alvarado score of 9. However, ultrasonography did not conclusively confirm appendicitis but revealed an Ascaris worm in the ileum. This finding highlights the importance of careful diagnostic processes that combine clinical assessment with imaging techniques, while being mindful of their limitations. Surgical exploration confirmed retrocecal appendicitis coexisting with an Ascaris lumbricoides infection. The treatment involved surgical removal of the affected appendix and pharmacological expulsion of the parasitic worm using albendazole, which proved effective. This report emphasizes the consideration of ascariasis in diagnosing appendicitis, particularly in areas where intestinal parasites are common. It also demonstrated the improved diagnostic accuracy achieved through clinical scoring and imaging, thus reducing the risk of missing dual pathologies in young patients with acute abdominal pain.

Introduction: Large vessel occlusion (LVO) strokes are linked to higher mortality rates and a greater risk of long-term disability. This study aimed to evaluate the diagnostic performance of the Rapid Arterial Occlusion Evaluation (RACE) tool in detecting LVO through a systematic review and meta-analysis.

Methods: A comprehensive search was conducted across online databases including PubMed, Embase, Scopus, and Web of Science, up to June 25th, 2023. Additionally, a manual search on Google and Google Scholar was performed to identify studies that assessed the diagnostic accuracy of the RACE scale in detecting LVO among patients with stroke symptoms.

Results: Data extracted from 43 studies were analyzed. The optimal cut-off points were determined to be 3 and 4, with a sensitivity of 0.86 (95% confidence interval (CI): 0.78, 0.91) and specificity of 0.57 (95% CI: 0.49, 0.67) for cut-off ≥3, and a sensitivity of 0.78 (95% CI: 0.70, 0.84) and specificity of 0.68 (95% CI: 0.59, 0.75) for cut-off ≥4. Subgroup meta-regression analysis revealed significant variations in sensitivity and specificity. RACE scale's sensitivity was significantly higher in LVO detection in suspected stroke cases, in pre-hospital settings, prospective design studies, and when considering both anterior and posterior occlusions for LVO definition. RACE scale's specificity was significantly higher when evaluating confirmed stroke cases, in-hospital settings, and considering only anterior occlusions for LVO definition and retrospective design studies. Notably, RACE exhibited higher sensitivity and specificity when utilized by neurologists and physicians compared to other emergency staff. Despite these variations, our study found comparable diagnostic accuracy across different conditions.

Conclusion: A high level of evidence indicates that the RACE scale lacks promising diagnostic value for detection of LVOs. A sensitivity range of 0.69 to 0.86 is insufficient for a screening tool intended to aid in the diagnosis of strokes, considering the substantial morbidity and mortality associated with this condition.

Introduction: The objective of this study was to assess the prevalence of falls, fear of falling (FOF), complications arising from falls, and identify possible sociodemographic and health-related factors associated with these outcomes among older adults.

Methods: This cross-sectional study was based on the first wave of the Ardakan Cohort Study on Aging (ACSA), which includes participants over 50 years of age residing in Ardakan, Iran. Fall history, number of fall events, FOF, hospitalizations, and fractures in the past 12 months were assessed through a face-to-face interview. Health-related factors were recorded on a self-expressed basis. Associations were assessed using multiple logistic regression.

Results: Among the 4,990 participants, fall history in the past 12 months was prevalent in 19.9%, with 10.1% reporting more than two fall events. Women (p < 0.001) and older participants (p< 0.001) had a higher prevalence. In females, 28.8% reported moderate to severe FOF, while 21% experienced disruptions in their daily activities as a result of this fear. The prevalence of fractures following falls was 5.1% in males and 8.6% in females. After adjusting for confounding factors, FOF (OR: 1.59, 95% CI: 1.33-1.91, p<0.001), imbalance (OR: 2.45, 95% CI: 1.68-3.58, p<0.001), urinary incontinence (OR: 1.44, 95% CI: 1.04-1.9, p=0.025), cognitive impairment (OR: 1.21, 95% CI: 1.01-1.46, p=0.049), vertigo or dizziness (OR: 1.39, 95% CI: 1.15-1.68, p<0.001), osteoporosis (OR: 1.24, 95% CI: 1.03-1.50, p=0.023), osteoarthritis (OR: 1.33, 95% CI: 1.13-1.56, p=0.001), depression (OR: 1.30, 95% CI: 1.06-1.60, p=0.010), and Central Nervous System (CNS)-affecting diseases (OR: 1.99, 95% CI: 1.33-2.97, p=0.001) were found to have positive associations with falls.

Conclusion: This study showed that about one-fifth of those over 50 in Iran have experienced at least one fall within a year. Self-expressed imbalance, FOF, and urinary incontinence were the most prominent risk factors. Due to resulting in hospitalization and fractures, falls also lead to fear of falling and the associated limitation of activities.

Introduction: Within the field of data sharing, discussions surrounding privacy concerns and big data management are extensive. This study aimed to provide a comprehensive framework for health data sharing with the objective of creating value.

Methods: This study is a qualitative content analysis, which was conducted using a combination of written sources through a systematic review method, in conjunction with content derived from interviews with experts in information technology and healthcare within hospital and emergency settings. Grounded theory serves as the qualitative methodology, involving three coding phases: open, axial, and selective, facilitated by MAXQDA software.

Results: Qualitative content analysis of the interviews revealed seven main (core) categories and 44 subcategories as driving factors in promoting healthcare data sharing. Simultaneously, inhibiting factors resulted in six main categories and 36 subcategories. The driving factors encompassed technology, education, patient management improvement, data utilization for various purposes, data-related considerations, legal and regulatory aspects, and health-related factors. Conversely, inhibiting factors encompassed security and privacy concerns, legal issues, external organizational influences, monitoring and control activities, financial considerations, and inter-organizational challenges.

Conclusion: This study has identified key driving and inhibiting factors that influence the sharing of healthcare data. These factors contribute to a more comprehensive understanding of the dynamics surrounding data sharing within the healthcare information system.

Introduction: Considering the importance of delirium disorder in burn patients and its complications, the present systematic review and meta-analysis aimed to determine the prevalence of delirium and its related factors in burn patients.

Methods: A comprehensive, systematic search was performed in different international electronic databases, such as Scopus, PubMed, and Web of Science, as well as Persian electronic databases such as Iranmedex, and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as "Prevalence", "Delirium", and "Burns" from the earliest to the 17th of July, 2023.

Results: In total, 2,710 burn patients participated in ten original studies. Among the participants, 64.6% were male. In the ten studies, the reported pooled prevalence of delirium among burn patients was 20.5% (95% CI: 10.9% to 35.0%; I²=96.889%; P<0.001). Also, factors such as total body surface area, duration of hospitalization, mortality, days on ventilator, alcoholism, benzodiazepine dose, methadone dose, age, male gender, ICU days, operation days, wound care under anesthesia, and opioid dose had a significant correlation with the prevalence of delirium in burn patients.

Conclusion: Health managers and policymakers can reduce the prevalence of delirium in burn patients by eliminating or reducing factors associated with it.