Archives of Academic Emergency Medicine最新文献

Introduction: Acute ischemic stroke (AIS) and intracerebral hemorrhage (ICH) are among the acute cerebrovascular diseases (CVDs) that have been reported as a result of COVID-19. It will be a significant step forward if our research helps improve the compilation and analysis of existing data from other studies.

Methods: The study is registered on PROSPERO with an ID of CRD42023464058. It encompasses articles published until December 2023 and involves searching databases such as PubMed, Scopus, Web of Knowledge, Embase, and Cochrane. Additionally, we conducted manual searches in respected publications within this discipline, utilized the Google Scholar search engine, and conducted reference checks, citation checks, and study of gray literature. The publications' reporting quality was assessed using the "Assessment of Multiple Systematic Reviews" (AMSTAR) checklist. The meta-analysis was conducted using Stata software (StataCorp, version 16).

Results: We analyzed the findings of 23 meta-analyses, which included 795 articles and encompassed 5,937 patients who had previously experienced a stroke. The average age of these patients was 62.3 years, and 68.3% were male. The findings indicated that the collective incidence of stroke among individuals with COVID-19 is roughly 1.75% [95% confidence interval (CI): 0.4%-3.03], with 1.59% for ischemic strokes and 0.3% for hemorrhagic strokes. 32.3% (95% CI: 27.8%-36.9%) of COVID-19 patients with stroke passed away, approximately 27% were discharged from the hospital with very mild or no complications, and around 28.1% (95% CI: 14.1%-42.1%) were referred for rehabilitation.

Conclusions: The overall rate of stroke in COVID-19 patients was approximately 1.75%, with a higher incidence in males and those with an average age of 62.3 years. Almost 80% of the strokes were ischemic, and the mortality rate was approximately 32%. Finally, 27% of the patients were discharged without complications, and 28% required rehabilitation.

Introduction: Due to their unique circumstances, pregnant women face a heightened risk of experiencing pregnancy complications during and after catastrophic events. This study aims to investigate the consequences of both natural and man-made disasters on pregnancy outcomes.

Method: This study is a systematic review. Searches were performed until May 31, 2024, in the electronic databases including Medline, Web of Science, Embase, and Scopus. Outcomes such as preterm birth, low birth weight (LBW), small for gestational age (SGA), stillbirth, spontaneous abortion, and pregnancy-related blood pressure complications were studied.

Result: The search conducted in the databases yielded 3307 non-duplicate records. After reading the abstracts, 3204 articles were excluded based on inclusion and exclusion criteria. Full texts of 103 article were obtained. However, upon reading the full texts of articles, 13 of them did not meet the inclusion criteria for the study. Consequently, 90 articles were ultimately included.

Conclusion: Natural and man-made disasters exert significant influence on adverse pregnancy outcomes. While it is impossible to prevent the incidence of natural disasters and often man-made disasters occur abruptly, the negative consequences of disasters, particularly natural ones, can be mitigated by enhancing prenatal care and avoiding detrimental elements such as smoking and alcohol.

Introduction: Artificial intelligence (AI), particularly ChatGPT developed by OpenAI, has shown the potential to improve diagnostic accuracy and efficiency in emergency department (ED) triage. This study aims to evaluate the diagnostic performance and safety of ChatGPT in prioritizing patients based on urgency in ED settings.

Methods: A systematic review and meta-analysis were conducted following PRISMA guidelines. Comprehensive literature searches were performed in Scopus, Web of Science, PubMed, and Embase. Studies evaluating ChatGPT's diagnostic performance in ED triage were included. Quality assessment was conducted using the QUADAS-2 tool. Pooled accuracy estimates were calculated using a random-effects model, and heterogeneity was assessed with the I² statistic.

Results: Fourteen studies with a total of 1,412 patients or scenarios were included. ChatGPT 4.0 demonstrated a pooled accuracy of 0.86 (95% CI: 0.64-0.98) with substantial heterogeneity (I² = 93%). ChatGPT 3.5 showed a pooled accuracy of 0.63 (95% CI: 0.43-0.81) with significant heterogeneity (I² = 84%). Funnel plots indicated potential publication bias, particularly for ChatGPT 3.5. Quality assessments revealed varying levels of risk of bias and applicability concerns.

Conclusion: ChatGPT, especially version 4.0, shows promise in improving ED triage accuracy. However, significant variability and potential biases highlight the need for further evaluation and enhancement.

Introduction: Following Mass Casualty Incidents (MCIs), the sudden surge in demand for essential services disrupts the balance between available and required resources. This study aimed to systematically identify and categorize existing systems employed for dispatching professional or lay rescuers during emergencies.

Methods: Adhering to the PRISMA 2020 Checklist, the research scrutinized international databases (PubMed, Scopus, and Web of Science) using formulated search strategies. Additionally, a manual search was conducted on Google Scholar and prominent journals employing specific keywords. Original articles introducing systems for dispatching rescuers to incident sites were included.

Results: Thirty-one of the 23051 initially identified documents were included for data extraction and quality assessment. The comprehensive analysis revealed twenty-two dispatch systems worldwide, contributing to life-saving efforts in emergencies. Additionally, an evaluation of the articles' quality using the Mixed Methods Appraisal Tool (MMAT) with five scores, indicated that more than two-thirds of the identified articles scored four or higher. Summarizing the data extracted from these systems, four distinct categories of recall system characteristics were identified: general, dispatcher, responder, and other features.

Conclusion: Technology has the potential to revolutionize the delivery of healthcare services. This study highlights four key elements necessary for the development of dispatch systems that can effectively mobilize healthcare providers to the incident scene. These elements include general characteristics, dispatcher roles, responder requirements, and additional features, which equip researchers with the knowledge for designing effective systems to recall healthcare providers during MCI.

Introduction: Preparing patients for extubation from mechanical ventilation (MV) necessitates focused respiratory muscle strengthening. This study aimed to evaluate the effect of threshold inspiratory muscle training (IMT) and positive expiratory pressure (PEP) exercises on outcomes of patients who underwent MV in intensive care unit (ICU).

Methods: This randomized controlled trial was conducted in 2023 at the ICUs of Imam Reza Hospital, Mashhad, Iran. Participants were allocated to either intervention or control group (each comprising 35 patients) through block randomization. The intervention group received standard daily chest physiotherapy as well as targeted inspiratory and expiratory muscle strengthening exercises using the threshold IMT/PEP device, administered twice daily over one week. The control group received standard daily chest physiotherapy alone. Finally, the outcomes (lung compliance, duration of intubation, extubation success rate, and diaphragmatic metrics) of the two groups were compared.

Results: 70 patients with the mean age of 56.10 ± 14.15 (range: 28.00-85.00) years were randomly divided into two groups (50% male). Significant improvements were observed in the intervention group regarding pulmonary compliance values (35.62 ± 4.43 vs. 30.85 ± 6.93; p= 0.001), peak expiratory flow (PEF) (55.20 ± 10.23 vs. 47.80 ± 11.26; p = 0.002), and maximum inspiratory pressure (MIP) (33.40 ± 4.25 vs. 30.08 ± 6.08; p = 0.01) compared to the control group. Diaphragm inspiratory thickness (0.29 ± 0.03 vs. 0.26 ± 0.04; p = 0.001), diaphragm expiratory thickness (0.22 ± 0.03 vs. 0.20 ± 0.04; p = 0.006) and motion (1.61 ± .29 vs. 1.48 ± .21; p = 0.04) also exhibited significant differences between the two groups. Extubation success rate was higher in the intervention group (68.60% vs. 40%; p = 0.01). The duration of mechanical ventilation was 15.14±7.07 days in the intervention group and 17.34±7.87 days in the control group (p = 0.20). The mean extubation time was 7.00 ± 1.88 days for the intervention group and 9.00 ± 2.00 days for the control (p < 0.001).

Conclusion: Threshold IMT/PEP device exercises effectively enhance respiratory muscle strength, diaphragm thickness, and reduce ventilator dependency. These findings support their potential for inclusion in rehabilitation programs for ICU patients.

Introduction: Emergency medical service (EMS) providers use ambulance lights and sirens (L&S) to expedite their travel and to warn road users. This study aimed to assess the attitude and behavior of road users in response to EMS ambulances with warning L&S in use.

Methods: This was a cross-sectional survey distributed to road users in Northern Jordan. The questionnaire included 19 items addressing demographics, attitudes, and behavior toward emergency ambulances. We described the participants' responses and assessed the association between demographics and attitude statements using logistic regression.

Results: A total of 1302 questionnaires were available for analysis. The mean age of participants was 34.2 (SD± 11.4) years, and the majority were males (72.6%). About half of road users (47.9%) would perform inappropriate actions in response to EMS ambulances with L&S in use. The multivariate logistic regression model showed that being female (OR: 0.63; 95% CI = 0.48-0.81), more educated (OR: 0.68; 95% CI = 0.53-0.86), or public transport driver (OR: 0.55; 95% CI = 0.34-0.90) was significantly associated with inappropriate response to EMS ambulances. Additionally, a significant proportion of road users may perform inappropriate and lawless driving practices such as following the passing by EMS ambulances.

Conclusions: A large proportion of road users in Jordan may respond inappropriately to the EMS ambulances and many engage in risky driving behaviors, perhaps due to the lack of procedural knowledge. Policy-related interventions and educational programs are crucially needed to increase public awareness of the traffic law concerning EMS ambulances and to enhance appropriate driving behavior.

Introduction: Sepsis is a significant and common cause of death and burden among critically ill patients, which has increasing incidence and mortality in adults over 60 and advanced age. This study aimed to develop an easy-to-use clinical tool for assessing 28-day mortality risk in older sepsis patients upon their initial assessment in the emergency department (ED).

Method: A retrospective cohort study was conducted using electronic medical records of older (≥60 years) ED patients with suspected sepsis from August 1, 2018, to December 31, 2018. A new prediction score was formulated based on the logistic coefficients of clinical predictors through multivariable regression analyses. Then, the score's screening performance was evaluated and compared to existing scoring systems; Systemic Inflammatory Response Syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), National early warning score (NEWS), and The Ramathibodi early warning score (REWS); using receiver operating characteristic curve analysis (AuROC).

Result: The study included 599 patients with the mean age of 77.13 (range: 60-101) years (56.43% male) and an overall 28-day mortality rate of 7.01%. The newly developed prediction score had seven independent predictors of 28-day mortality: malignancy, dependent status, heart rate, respiratory rate, oxygen saturation, consciousness, and lactate, which demonstrated excellent discriminative ability (AuROC: 0.87, 95% confidence interval (CI): 0.82 - 0.92), significantly outperforming SIRS (AuROC: 0.62), qSOFA (AuROC: 0.72), NEWS (AuROC: 0.74), and REWS (AuROC: 0.71), all with p-values <0.01. The score allowed risk stratification into low-risk (positive likelihood ratio (LR+): 0.37, 95% CI: 0.24 - 0.58) and high-risk (LR+: 4.14, 95% CI: 3.14 - 5.44) groups with sensitivity of 69.0% and specificity of 83.3% at a cut-off point of 6.

Conclusion: The novel prediction score demonstrates a remarkable ability to predict 28-day mortality risk in older sepsis patients during their initial ED assessment, offering potential for improved risk stratification and treatment guidance in older patients.

Introduction: Reinfection and hospital readmission due to COVID-19 were significant and costly during the pandemic. This study aimed to assess the rate and risk factors of SARS-Cov-2 reinfection, recurrence, and hospital readmission, by analyzing the national data registry in Iran.

Methods: This study was a retrospective cohort conducted from March 2020 to May 2021. A census method was used to consider all of the possible information in the national Medical Care Monitoring Center (MCMC) database obtained from the Ministry of Health and Medical Education; the data included information from all confirmed COVID-19 patients who were hospitalized and diagnosed using at least one positive Polymerase Chain Reaction (PCR) test by nasopharyngeal swab specimens. Univariate and multivariable Cox regression analyses were performed to assess the factors related to each studied outcome.

Results: After analyzing data from 1,445,441 patients who had been hospitalized due to COVID-19 in Iran, the rates of overall reinfection, reinfection occurring at least 90 days after the initial infection, recurrence, and hospital readmission among hospitalized patients were 67.79, 26.8, 41.61, and 30.53 per 1000 person-years, respectively. Among all cases of hospitalized reinfection (48292 cases), 38.61% occurred more than 90 days from the initial SARS-Cov-2 infection. Getting infected with COVID-19 in the fifth wave of the disease compared to getting infected in the first wave (P<0.001), having cancer (P<0.001), chronic kidney disease (P<0.001), and age over 80 years (P<0.001) were respectively the most important risk factors for overall reinfection. In contrast, age 19-44 years (P<0.001), intubation (P<0.001), fever (P<0.001), and cough (P<0.001) in the initial admission were the most important protective factors of overall reinfection, respectively.

Conclusion: Reinfection and recurrence of COVID-19 after recovery and the rate of hospital readmission after discharge were remarkable. Advanced or young age, as well as having underlying conditions like cancer and chronic kidney disease, increase the risk of infection and readmission.

Introduction: One of the worrisome complications of hip arthroplasty is surgical site infection (SSI). This study aimed to investigate the prevalence of SSI after hip arthroplasty.

Methods: A comprehensive and systematic exploration was conducted across various international electronic databases, including Scopus, PubMed, and Web of Science, alongside Persian electronic databases such as Iranmedex and the Scientific Information Database (SID). This search strategy entailed the utilization of Medical Subject Headings-derived keywords such as "Prevalence," "Surgical wound infection," "Surgical site infection," and "Arthroplasty," spanning from the earliest records up to January 1, 2024. Each study's weight was assigned based on its inverse variance. A forest plot visualization was used to assess the studies' heterogeneity. Data on sample size and SSI frequency were compiled for each study to calculate the overall effect size.

Results: The study encompassed a cumulative participant cohort of 1,070,638 hip arthroplasty procedures drawn from seventeen selected studies. Notably, the female gender constituted 59.10% of the overall participant demographic. The aggregate SSI among patients undergoing hip arthroplasty was estimated to be 1.9% (95% CI: 1.3% to 2.8%; I²=99.688%; P<0.001). The results of the meta-regression analysis unveiled a statistically significant correlation between the prevalence of SSIs after hip arthroplasty and the year of publication (Coefficient=-0.0020; 95% CI: -0.0021 to -0.0018; Z=-19.39, P<0.001).

Conclusion: The study findings indicated a prevalence rate of 1.9% for SSI following hip arthroplasty. This prevalence underscores the importance of vigilance in infection prevention and management strategies within orthopedic surgery. However, it is essential to acknowledge the variability in SSI prevalence observed across diverse studies, which can be attributed to multifaceted factors, notably variances in patient populations and associated risk factors.