Archives of Academic Emergency Medicine最新文献

{"title":"Esophageal Foreign Body Missed Diagnosis; an Analysis of 12 Cases.","authors":"Xin Yan,&nbsp;Guoping Dai","doi":"10.22037/aaem.v11i1.2102","DOIUrl":"10.22037/aaem.v11i1.2102","url":null,"abstract":"<p><p>Missed diagnosis of foreign bodies in esophagus occasionally results in adverse consequences for patients. This study aimed to analyze the clinical characteristics of esophageal foreign body missed diagnosis in 12 cases. Among the 12 patients, 7 didn't undergo esophagus-related examination due to mild pain; One case didn't report a clear history of swallowing foreign bodies. For one case, computed tomography (CT) examination had not reached the esophageal foreign body level. Two cases were missed diagnosis because the foreign bodies were too tiny to develop clearly on CT. One case showed foreign body in esophagus during initial CT examination, but after subsequent gastroscopy, no foreign body was found. Among the 12 patients, 7 had esophageal perforation, 1 of which developed a neck abscess, and 1 had peri-esophageal abscess. It seems that, if foreign bodies in the pharynx or esophagus are suspected and no foreign bodies are found in the laryngoscope, chest CT scan is necessary. It is best to perform examination of full-length esophagus and pharynx, because foreign bodies may exist in the post-cricoid region or the deep part of the pyriform sinus, especially in older cases with longer retention times.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e65"},"PeriodicalIF":5.4,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/82/58/aaem-11-e65.PMC10568947.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41231902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preventing Medical Errors Using mm-Wave Technology; a Letter to the Editor.","authors":"Andreas G Siamarou","doi":"10.22037/aaem.v11i1.2138","DOIUrl":"10.22037/aaem.v11i1.2138","url":null,"abstract":"Dear editor About 795,000 people die or are permanently disabled each year due to diagnostic errors and related harms across clinical settings, according to estimates based on nationally representative disease incidence data for 2012 to 2014 (1). Studies show that the number of medical errors is increasing annually (2). This undergoing research study has its impact on improving human healthcare and reducing diagnostic errors due to fast, accurate, and robust data storage, transmission, and analysis with the use of information technology (IT) (3). Reducing diagnostics errors using IT in primary care and, generally, in healthcare is limited and huge steps must be taken to establish the use of IT for this purpose. To address this issue, the study proposes the use of ultrafast wireless big data transmission in primary care, specifically in remote smart sensors monitoring devices. It suggests that wireless transmission with a speed up to 100 GB/s (12.5 GBytes/s) within a very short distance (1-10 meters) is necessary to reduce diagnostic errors. High-speed data transfer could facilitate rapid transmission of medical images, such as CT scans, MRIs, or ultrasound images, between different systems or departments within the hospital. This would allow for faster interpretation and analysis of critical medical data, aiding in the diagnosis and treatment of patients in the ICU. The ability to transmit large amounts of data quickly, could facilitate telemedicine applications. For instance, doctors or specialists located remotely could have real-time access to patient data, video feeds, and diagnostic images, allowing them to provide expert consultations without being physically present in the ICU. Using a controlled experimental setup that mimics the challenges and requirements of an Intensive Care Unit (ICU),","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e64"},"PeriodicalIF":5.4,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/44/77/aaem-11-e64.PMC10568942.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41231920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leuko-Glycemic Index in the Prognosis of Acute Myocardial Infarction; a Cohort Study on Coronary Angiography and Angioplasty Registry.","authors":"Roxana Sadeghi,&nbsp;Mohammad Haji Aghajani,&nbsp;Reza Parandin,&nbsp;Niloufar Taherpour,&nbsp;Koohyar Ahmadzadeh,&nbsp;Arash Sarveazad","doi":"10.22037/aaem.v11i1.2085","DOIUrl":"10.22037/aaem.v11i1.2085","url":null,"abstract":"<p><strong>Introduction: </strong>The leuko-glycemic index (LGI), a combined index of patient leukocyte counts and blood glucose levels, has been shown to predict the prognosis of myocardial infarction (MI) patients. Our study aims to investigate the performance of LGI in prediction of outcomes in a population of diabetic and non-diabetic MI patients.</p><p><strong>Methods: </strong>This observational registry-based cohort study was performed on acute myocardial infarction (AMI) patients. Participants were sub-grouped according to their diabetes status and the calculated optimal LGI cut-off value. The outcomes of the study were the length of hospital stay, and in-hospital and 30-day mortality.</p><p><strong>Results: </strong>A total of 296 AMI (112 diabetic and 184 non-diabetic) patients were included in the study. The optimal cut-off value of LGI in the diabetic and non-diabetic groups was calculated as 2970.4 mg/dl.mm³ and 2249.4 mg/dl.mm³, respectively. High LGI was associated with increased hospital admission duration in non-diabetic patients (p = 0.017). The area under the curve (AUC) of LGI for prediction of in-hospital mortality was 0.93 (95% CI: 0.87 to 1.00) in the diabetic group and 0.92 (95% CI: 0.85 to 0.99) in the non-diabetic group. LGI had a sensitivity and specificity of 90.00%, and 93.14% in prediction of in-hospital mortality in the diabetic group compared to 77.77% and 90.85% in the non-diabetic group. We observed 4 post-discharge mortalities in our patient group.</p><p><strong>Conclusion: </strong>Our study demonstrated that higher LGI predicts in-hospital mortality in both diabetic and non-diabetic patients, while the length of hospital stay was only predicted by LGI levels in non-diabetic patients.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e63"},"PeriodicalIF":5.4,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/35/e7/aaem-11-e63.PMC10568944.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41231904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic Accuracy of Ultrasonography for Identification of Elbow Fractures in Children; a Systematic Review and Meta-analysis.","authors":"Seyed Mehdi Hosseini Khameneh,&nbsp;Reza Amani-Beni,&nbsp;Seyed-Amirabbas Ahadiat,&nbsp;Mohammad Saeed Kahrizi,&nbsp;Sina Jafari,&nbsp;Seyedehatefe Seyedinnavade,&nbsp;Amir Masood Rafie Manzelat,&nbsp;Noushin Mashatan,&nbsp;Dorsa Beheshtiparvar,&nbsp;Atousa Moghadam Fard,&nbsp;Hamed Lotfi,&nbsp;Hossein Arhami,&nbsp;Reza Barati,&nbsp;Raziyeh Hasanvand,&nbsp;Shima Boorboor,&nbsp;Elaheh Khodaei,&nbsp;Dorsa Dadashzadehasl,&nbsp;Fatemeh Zamani,&nbsp;Roya Khorram,&nbsp;Maryam Ebrahimpour,&nbsp;Zeynab Abdollahi,&nbsp;Mohammadreza Shabani,&nbsp;Nariman Latifi,&nbsp;Reza Vafadar,&nbsp;Sepideh Shah Hosseini,&nbsp;Mehran Khodashenas,&nbsp;Seyyed Morteza Kazemi,&nbsp;Reza Minaei Noshahr,&nbsp;Hani Ghayyem,&nbsp;Alireza Farahani,&nbsp;Diba Saeidi,&nbsp;Sajedeh Jadidi,&nbsp;Babak Goodarzy,&nbsp;Mehrdad Farrokhi","doi":"10.22037/aaem.v11i1.2078","DOIUrl":"10.22037/aaem.v11i1.2078","url":null,"abstract":"<p><strong>Introduction: </strong>In spite of the results of previous studies regarding the benefits of ultrasonography for diagnosis of elbow fractures in children, the exact accuracy of this imaging modality is still under debate. Therefore, in this diagnostic systematic review and meta-analysis, we aimed to investigate the accuracy of ultrasonography in this regard.</p><p><strong>Methods: </strong>Two independent reviewers performed systematic search in Web of Science, Embase, PubMed, Cochrane, and Scopus for studies published from inception of these databases to May 2023. Quality assessment of the included studies was performed using Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS-2). Meta-Disc software version 1.4 and Stata statistical software package version 17.0 were used for statistical analysis.</p><p><strong>Results: </strong>A total of 648 studies with 1000 patients were included in the meta-analysis. The pooled sensitivity and specificity were 0.95 (95% CI: 0.93-0.97) and 0.87 (95% CI: 0.84-0.90), respectively. Pooled positive likelihood ratio (PLR) was 6.71 (95% CI: 3.86-11.67), negative likelihood ratio (NLR) was 0.09 (95% CI: 0.03-0.22), and pooled diagnostic odds ratio (DOR) of ultrasonography in detection of elbow fracture in children was 89.85 (95% CI: 31.56-255.8). The area under the summary receiver operating characteristic (ROC) curve for accuracy of ultrasonography in this regard was 0.93. Egger's and Begg's analyses showed that there is no significant publication bias (P=0.11 and P=0.29, respectively).</p><p><strong>Conclusion: </strong>Our meta-analysis revealed that ultrasonography is a relatively promising diagnostic imaging modality for identification of elbow fractures in children. However, clinicians employing ultrasonography for diagnosis of elbow fractures should be aware that studies included in this meta-analysis had limitations regarding methodological quality and are subject to risk of bias. Future high-quality studies with standardization of ultrasonography examination protocol are required to thoroughly validate ultrasonography for elbow fractures.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e62"},"PeriodicalIF":5.4,"publicationDate":"2023-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d2/a2/aaem-11-e62.PMC10568949.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41231892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Haloperidol-Midazolam vs. Haloperidol-Ketamine in Controlling the Agitation of Delirious Patients; a Randomized Clinical Trial.","authors":"Mehrad Aghili,&nbsp;HamidReza AkhavanHejazi,&nbsp;Zeinab Naderpour,&nbsp;Elnaz Vahidi,&nbsp;Morteza Saeedi","doi":"10.22037/aaem.v11i1.2095","DOIUrl":"10.22037/aaem.v11i1.2095","url":null,"abstract":"<p><strong>Introduction: </strong>Agitation management in delirious patients is crucial in a crowded emergency department (ED) for both patient and personnel safety. Benzodiazepines, antipsychotics, and newly derived ketamine are among the most commonly used drugs in controlling these cases. This study aimed to compare the effectiveness of haloperidol-midazolam with haloperidol-ketamine combination in this regard.</p><p><strong>Methods: </strong>In this double-blind randomized clinical trial, delirious patients with agitation in ED were randomly assigned to a group: group A: haloperidol 2.5 mg IV and midazolam 0.05 mg/kg IV or group B: haloperidol 2.5 mg IV and ketamine 0.5 mg/kg IV. Sedative effects as well as side effects at 0, 5, 10, 15, 30 minutes and 1, 2, 4 hours after the intervention were compared between the 2 groups.</p><p><strong>Results: </strong>We enrolled 140 cases with Altered Mental Status Score (AMSS)≥+2 and mean age of 52.819.4 years (78.5% male). Agitation was significantly controlled in both groups (p<0.05). In group B, AMSS score was more significantly and rapidly reduced 5 (p = 0.021), 10 (p = 0.009), and 15 (p = 0.034) minutes after drug administration. After intervention, oxygen saturation was significantly decreased in group A 5 (p = 0.031) and 10 (p = 0.019) minutes after baseline. Time required to the maximum effect was significantly lower in group B versus group A (p=0.014). Less patients in group B had major side effects (p=0.018) and needed physical restraint (p=0.001).</p><p><strong>Conclusions: </strong>Haloperidol-ketamine can control agitation in delirium more rapidly than haloperidol-midazolam. This combination had lower adverse events with lower need for physical restraint.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e61"},"PeriodicalIF":5.4,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/37/60/aaem-11-e61.PMC10568945.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41231903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monkeypox Disease with a Focus on the 2022 Outbreak; a Narrative Review.","authors":"Zohreh Tehranchinia, Reza M Robati, Hamideh Moravvej, Mojtaba Memariani, Hamed Memariani","doi":"10.22037/aaem.v11i1.1856","DOIUrl":"10.22037/aaem.v11i1.1856","url":null,"abstract":"<p><p>Monkeypox is a zoonotic disease caused by a double-stranded DNA virus belonging to the genus <i>Orthopoxvirus</i>. Despite being endemic in Central and West Africa, the disease has received relatively little research attention until recent times. As the Coronavirus disease 2019 (COVID-19) pandemic continues to affect the world, the rising number of monkeypox cases in non-endemic countries has further stoked global public health concerns about another pandemic. Unlike previous outbreaks outside Africa, most patients in the present outbreak had no history of travel to the endemic regions. The overwhelming majority of patients were initially identified amongst homosexual men, who had attended large gatherings. Mutations in the coding regions of the viral genome may have resulted in fitness adaptation, enhancement of immune evasion mechanisms, and more efficient transmissibility of the 2022 monkeypox virus. Multiple factors such as diminished cross-protective herd immunity (cessation of smallpox vaccination), deforestation, civil war, refugee displacement, farming, enhanced global interconnectedness, and even climate change may facilitate the unexpected emergence of the disease. In light of the increasing number of cases reported in the present outbreak, healthcare professionals should update their knowledge about monkeypox disease, including its diagnosis, prevention, and clinical management. Herein, we provide an overview of monkeypox, with a focus on the 2022 outbreak, to serve as a primer for clinical practitioners who may encounter the disease in their practice.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e19"},"PeriodicalIF":2.9,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3d/06/aaem-11-e19.PMC9887230.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9215190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pattern of Neurological Disorders among Patients Evaluated in the Emergency Department; Cross-Sectional Study.","authors":"Mohamed Sheikh Hassan,&nbsp;Nor Osman Sidow,&nbsp;Alper Gökgül,&nbsp;Bakar Ali Adam,&nbsp;Mohamed Farah Osman,&nbsp;Hussein Hassan Mohamed,&nbsp;Ismail Gedi Ibrahim,&nbsp;Ishak Ahmed Abdi","doi":"10.22037/aaem.v11i1.1813","DOIUrl":"https://doi.org/10.22037/aaem.v11i1.1813","url":null,"abstract":"<p><strong>Introduction: </strong>Neurologic disorders are common reasons for emergency consultations. Most neurologic disorders seen in the emergency department (ED) are life-threatening and require urgent treatment. The goal of this study is to investigate the pattern of neurological disorders among patients evaluated in the ED.</p><p><strong>Methods: </strong>This is a cross-sectional study conducted in the ED of Mogadishu Somali Turkish Training and Research Hospital, from July 2021 to February 2022. The clinical and epidemiological characteristics of adult patients with neurologic manifestations in the ED were evaluated. Age, gender, distribution of neurological disease manifestations, neurological examination findings, and neurological diagnoses made by consultant neurologists were assessed.</p><p><strong>Results: </strong>During the study period, 321 patients were assessed (3.7 % of all ED admissions). The majority of the patients in the study were above 50 years of age (62.6% male). Hypertension was the most common comorbidity among these patients with 122 (38%) cases, followed by diabetes mellitus with 65 (20.2%), and heart diseases with 26 (8.1%) cases. The main reasons for neurology consultations were altered mental status with 141 (44%) cases, motor weakness with 102 (31.8%), seizures with 33 (10%), headache with 17 (5.3%), and vertigo with 9 (2.8%) cases. 196 (61%) had hemiplegia, 60 (18.7%) had consciousness impairment, and 38 (11.8%) had normal neurological examination. The most frequent neurological diagnoses were ischemic strokes with 125 (39%) cases, hemorrhagic strokes with 65 (20.2%), epileptic seizures with 28 (8.7%), and metabolic encephalopathies with 13 (4%) cases. The median duration of the neurology consultations was 20 minutes. 251 (78%) of the patients were admitted to the hospital, while 70 (22%) were discharged from the emergency department. After neurology consultation, the neurology department made the most admissions with 226 (90%) cases, while 25 (10%) were admitted by other departments. Of those admitted, 186 (74.2%) were admitted to the neurology ward, and 65 (25.8%) were admitted to the intensive care unit.</p><p><strong>Conclusion: </strong>In our study, neurologic emergencies accounted for 3.7% of all emergency admissions. Stroke, epileptic seizures, cerebral venous thrombosis, encephalopathies, and acute spinal cord diseases were the most common neurological disorders.  The admission rate was very high following neurologic assessment by neurologists.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e20"},"PeriodicalIF":5.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ec/10/aaem-11-e20.PMC9887228.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9231243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ottawa Risk Scale in Predicting the Outcome of Chorionic Obstructive Pulmonary Disease Exacerbation in Emergency Department; a Diagnostic Accuracy Study.","authors":"Mostafa Alavi-Moghaddam,&nbsp;Hossein Partovinezhad,&nbsp;Shayan Dasdar,&nbsp;Maryam Farjad","doi":"10.22037/aaem.v11i1.2023","DOIUrl":"https://doi.org/10.22037/aaem.v11i1.2023","url":null,"abstract":"<p><strong>Introduction: </strong>The disposition decision is a great challenge for clinicians in managing patients with chronic obstructive pulmonary disease (COPD) exacerbation. This study aimed to evaluate the accuracy of Ottawa COPD Risk Scale (OCRS) in predicting the short-term adverse events in the mentioned patients.</p><p><strong>Methods: </strong>This prospective diagnostic accuracy study was conducted on COPD exacerbation cases who were referred to the emergency department (ED). Patients were followed up for 30 consecutive days for adverse events including the need for intubation, non-invasive ventilation, myocardial infarction, readmission, and death from any cause, and finally the accuracy of OCRS in predicting the outcome was evaluated.</p><p><strong>Results: </strong>362 patients with the mean age of 65.55 ± 10.65 (6- 95) years were evaluated (58.0% male). Among the patients, 164 (45.3%) cases were discharged from ED, and 198 (54.7%) were admitted to the hospital. 136 (37.6%) cases experienced at least one of the studied short-term adverse events. The mean OCSD score of this series was 1.96 ± 2.39 (0 - 10). The area under the curve of OCRS in predicting the outcome of COPD patients was 0.814 (95%CI: 0.766 - 0.862). The best cut-off point of the scale in predicting the outcome was 1.5. The sensitivity and specificity of the scale were 75.75% (95%CI: 69.6% - 81.42%) and 89.63% (95%CI: 83.67% - 93.66%), respectively. By employing this threshold, 48 (13.25%) cases would have unnecessary hospitalization, and 17 (0.04%) would be discharged incorrectly.</p><p><strong>Conclusion: </strong>The OCRS has acceptable level of prediction accuracy in predicting the short-term adverse event of COPD patients. The use of this scoring in the routine practice of ED clinicians can lead to a reduction in unnecessary admissions and unsafe discharge for these patients.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e32"},"PeriodicalIF":5.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b7/29/aaem-11-e32.PMC10197914.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9504737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic Accuracy of Ottawa Knee Rule for Diagnosis of Fracture in Patients with Knee Trauma; a Systematic Review and Meta-analysis.","authors":"Seyyed-Morteza Kazemi,&nbsp;Roya Khorram,&nbsp;Ehsan Fayyazishishavan,&nbsp;Reza Amani-Beni,&nbsp;Yas Haririan,&nbsp;Seyed Mehdi Hosseini Khameneh,&nbsp;Erfan Rahmani,&nbsp;Reza Minaei Noshahr,&nbsp;Mahshad Sarikhani,&nbsp;Rana Rahimi,&nbsp;Sara Saeidi,&nbsp;Diba Saeidi,&nbsp;Mehrdad Farrokhi","doi":"10.22037/aaem.v11i1.1934","DOIUrl":"https://doi.org/10.22037/aaem.v11i1.1934","url":null,"abstract":"<p><strong>Introduction: </strong>In order to improve the efficacy of requesting knee radiography and reduce unnecessary radiation exposure, some clinical decision rules have been proposed for the assessment of knee injuries. Among them, the Ottawa Knee Rule (OKR) was considered as one of the best guidelines with several validation studies. Therefore, in this meta-analysis, we aimed to investigate the accuracy of OKR for diagnosis of fracture in patients presenting with knee trauma.</p><p><strong>Methods: </strong>A systematic search was conducted in PubMed, Web of Science, Scopus, Google Scholar, and EBSCO from inception to September 2022. Quality assessment of the included studies was performed using QUADAS-2 tool. Diagnostic accuracy parameters were analyzed using random-effects model. Statistical analysis was performed using Meta-Disc and Stata softwares.</p><p><strong>Results: </strong>The meta-analysis of the 18 included studies (6702 patients) showed that the pooled sensitivity and specificity of OKR for diagnosis of fractures were 0.98 (95% CI: 0.96-0.99) and 0.43 (95% CI: 0.42-0.45), respectively. The pooled positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 1.56 (95% CI: 1.39-1.75) and 0.12 (95% CI: 0.05-0.26), respectively. The area under curve (AUC) of the hierarchical summary receiver operating characteristic (HSROC) curve was 0.54.</p><p><strong>Conclusion: </strong>This meta-analysis indicates that OKR has a high diagnostic performance for diagnosis of fracture, with a pooled sensitivity of 98% and a pooled specificity of 43%. These results propose potential effects of OKR on reduction of unnecessary radiography, time spent in emergency departments, and direct and indirect costs, which should be confirmed using high-quality studies in the future.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e30"},"PeriodicalIF":5.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7b/12/aaem-11-e30.PMC10197917.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9557414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic Value of The Leuko-Glycemic Index in Acute Myocardial Infarction; a Systematic Review and Meta-Analysis.","authors":"Roxana Sadeghi,&nbsp;Shayan Roshdi Dizaji,&nbsp;Mohammadhossein Vazirizadeh-Mahabadi,&nbsp;Arash Sarveazad,&nbsp;Seyed Ali Forouzannia","doi":"10.22037/aaem.v11i1.1915","DOIUrl":"https://doi.org/10.22037/aaem.v11i1.1915","url":null,"abstract":"<p><strong>Introduction: </strong>In recent years, studies have provided evidence on the prognostic value of the leuko-glycemic index (LGI) in acute myocardial infarction (MI), but there is a lack of consensus. In addition, various reported cut-offs for LGI have raised concern regarding its clinical applicability. So, to conclude, through this systematic review and meta-analysis, we aimed to investigate all available evidence on the prognostic value of LGI in acute MI.</p><p><strong>Methods: </strong>Two independent researchers summarized records available in the four main databases of Medline (Via PubMed), Embase, Scopus, and Web of Science until 15 Sep 2022. Articles studying the prognostic value of the LGI in acute MI were included. Finally, sensitivity, specificity, prognostic odds ratio, and the area under the curve (AUC) for LGI were analyzed and reported.</p><p><strong>Results: </strong>Eleven articles were included (3701 patients, 72.1% male). Based on the analyses, AUC, sensitivity, and specificity for LGI in prediction of mortality following acute MI were 0.77 (95% CI: 0.73 to 0.80), 0.75 (95% CI: 0.62 to 0.84), and 0.66 (95% CI: 0.51 to 0.78), respectively. Positive and negative post-test probability of LGI in prediction of mortality were 21% and 5%, respectively. AUC, sensitivity, and specificity for LGI in prediction of major cardiac complications after acute MI were 0.81 (95% CI: 0.77 to 0.84), 0.84 (95% CI: 0.70 to 0.92), and 0.64 (95% CI: 0.49 to 0.84), respectively. Also, the Positive and negative post-test probability of LGI in this regard were 59% and 13%, respectively.</p><p><strong>Conclusion: </strong>Although the results demonstrated that the LGI could predict mortality and acute cardiac complication after MI, the low post-test probability of LGI in risk stratification of patients raises questions regarding its applicability. Nevertheless, as most of the available studies have been conducted in the Latino/Hispanic population, further evidence is warranted to generalize the validity of this tool to other racial populations.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"11 1","pages":"e25"},"PeriodicalIF":5.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/50/20/aaem-11-e25.PMC10008249.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9128876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}