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Relevant bibliographies by topics / Cardia arrhythmia

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Academic literature on the topic 'Cardia arrhythmia'

Author: Grafiati

Published: 7 June 2025

Last updated: 26 June 2025

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Journal articles on the topic "Cardia arrhythmia"

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Zhou, Haiying, Xiancheng Zhu, Sishan Wang, et al. "A Novel Cardiac Arrhythmias Detection Approach for Real-Time Ambulatory ECG Diagnosis." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 10 (2017): 1758004. http://dx.doi.org/10.1142/s0218001417580046.

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In view of requirements of low-resource consumption and high-efficiency in real-time Ambulatory Electrocardiograph Diagnosis (AED) applications, a novel Cardiac Arrhythmias Detection (CAD) algorithm is proposed. This algorithm consists of three core modules: an automatic-learning machine that models diagnostic criteria and grades the emergency events of cardiac arrhythmias by studying morphological characteristics of ECG signals and experiential knowledge of cardiologists; a rhythm classifier that recognizes and classifies heart rhythms basing on statistical features comparison and linear discriminant with confidence interval estimation; and an arrhythmias interpreter that assesses emergency events of cardia arrhythmias basing on a two rule-relative interpretation mechanisms. The experiential results on off-line MIT-BIH cardiac arrhythmia database as well as online clinical testing explore that this algorithm has 92.8% sensitivity and 97.5% specificity in average, so that it is suitable for real-time cardiac arrhythmias monitoring.

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Liu, Boheng, Mingbo Wang, Jiawei Dong, Hao Wang, and Ziqiang Tian. "Evaluation of Critical Factors of Postoperative Arrhythmia and Preventive Measures of Deep Venous Thrombosis." Journal of Oncology 2021 (November 24, 2021): 1–11. http://dx.doi.org/10.1155/2021/6103092.

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The study focused on the risk factors of postoperative arrhythmia and lung infection and the preventive effects of targeted low-molecular-weight heparin (LMWH) on the occurrence of deep venous thrombosis (DVT) in patients with esophageal/cardia cancer. In this article, 82 patients who were pathologically diagnosed with esophageal/cardia cancer and underwent surgical treatment were selected as the research subjects. According to the different preoperative treatment methods, the patients were divided into the control group (without anticoagulant drugs before the operation, 44 cases) and the anticoagulation group (anticoagulant drugs were administered before the operation, 38 cases), and they were compared for basic clinical indicators and disease history. Logistic regression analysis was performed to analyze the risk factors of adverse events, and the Wells and Autar scale scores were calculated. Different groups were compared for the operation time, blood loss, and postoperative drainage volume during the operation. D-dimer was detected on the first 1, 3, 5, and 7 days after the operation, and the lower extremity venous color Doppler ultrasound was performed on the 1st and 7th days after the operation. The results showed that age ≥65 years, abnormal preoperative ECG, preoperative coronary heart disease (CHD), preoperative chronic obstructive pulmonary disease (COPD), operative time ≥4 h, and preoperative blood sodium <4.04.0 mmol/L were all risk factors for postoperative arrhythmia. Age, preoperative diabetes mellitus, preoperative COPD, length of hospital stay, and FEV1 were all risk factors for postoperative lung infections. In the control group and anticoagulation group, 11 cases (13.41%) and 5 cases (16.10%) had lower extremity DVT, respectively. The incidence of lower extremity DVT was lower in the anticoagulation group than in the control group P < 0.01 . It suggested that age, preoperative disease history, hospital stay, and operation time were risk factors for postoperative adverse events in patients with esophageal/cardia cancer. The targeted anticoagulant LMWH has a significant preventive effect on the occurrence of lower extremity DVT in patients with esophageal/cardia cancer, providing an effective reference for the prognosis and prevention of esophageal/cardia cancer.

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Epifanio, Hindalis Ballesteros, Marcelo Katz, Melania Aparecida Borges, et al. "The use of external event monitoring (web-loop) in the elucidation of symptoms associated with arrhythmias in a general population." Einstein (São Paulo) 12, no. 3 (2014): 295–99. http://dx.doi.org/10.1590/s1679-45082014ao2939.

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Objective To correlate arrhythmic symptoms with the presence of significant arrhythmias through the external event monitoring (web-loop). Methods Between January and December 2011, the web-loop was connected to 112 patients (46% of them were women, mean age 52±21 years old). Specific arrhythmic symptoms were defined as palpitations, pre-syncope and syncope observed during the monitoring. Supraventricular tachycardia, atrial flutter or fibrillation, ventricular tachycardia, pauses greater than 2 seconds or advanced atrioventricular block were classified as significant arrhythmia. The association between symptoms and significant arrhythmias were analyzed. Results The web-loop recorded arrhythmic symptoms in 74 (66%) patients. Of these, in only 14 (19%) patients the association between symptoms and significant cardiac arrhythmia was detected. Moreover, significant arrhythmia was found in 11 (9.8%) asymptomatic patients. There was no association between presence of major symptoms and significant cardiac arrhythmia (OR=0.57, CI95%: 0.21-1.57; p=0.23). Conclusion We found no association between major symptoms and significant cardiac arrhythmia in patients submitted to event recorder monitoring. Event loop recorder was useful to elucidate cases of palpitations and syncope in symptomatic patients.

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Akhmedov, V. A., M. A. Livzan, and O. V. Gaus. "COVID-19 and arrhythmias - is there a relationship?" South Russian Journal of Therapeutic Practice 3, no. 3 (2022): 17–24. http://dx.doi.org/10.21886/2712-8156-2022-3-3-17-24.

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COVID-19 infection is associated with many different systemic complications. Among these, cardiovascular system complications are particularly important as these are associated with significant mortality. There are many different subgroups of cardiovascular complications, with arrhythmias being one of them. Arrhythmias are especially important as there are a substantial percentage of patients who have arrhythmia after a COVID-19 infection, and these patients are seen with an increased mortality rate. Arrhythmias in COVID-19 patients are associated with inflammation, electrolyte abnormalities, hypoxia, myocardial ischemia, cytokines, pro-arrhythmic or QT-prolonging medications, and underlying heart conditions such as severe congestive heart failure, inherited arrhythmia syndromes, or congenital heart conditions. In addition, arrhythmias and cardiac arrests are most prevalent in the critically ill intensive care unit COVID-19 patient population. This review of PubMed/MedLine articled presents an overview of the association between COVID-19 and arrhythmias by detailing possible pathophysiological mechanisms, existing knowledge of pro-arrhythmic factors, and results from studies in adult COVID-19 populations.

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Andelova, Katarina, Barbara Szeiffova Bacova, Matus Sykora, Peter Hlivak, Miroslav Barancik, and Narcis Tribulova. "Mechanisms Underlying Antiarrhythmic Properties of Cardioprotective Agents Impacting Inflammation and Oxidative Stress." International Journal of Molecular Sciences 23, no. 3 (2022): 1416. http://dx.doi.org/10.3390/ijms23031416.

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The prevention of cardiac life-threatening ventricular fibrillation and stroke-provoking atrial fibrillation remains a serious global clinical issue, with ongoing need for novel approaches. Numerous experimental and clinical studies suggest that oxidative stress and inflammation are deleterious to cardiovascular health, and can increase heart susceptibility to arrhythmias. It is quite interesting, however, that various cardio-protective compounds with antiarrhythmic properties are potent anti-oxidative and anti-inflammatory agents. These most likely target the pro-arrhythmia primary mechanisms. This review and literature-based analysis presents a realistic view of antiarrhythmic efficacy and the molecular mechanisms of current pharmaceuticals in clinical use. These include the sodium-glucose cotransporter-2 inhibitors used in diabetes treatment, statins in dyslipidemia and naturally protective omega-3 fatty acids. This approach supports the hypothesis that prevention or attenuation of oxidative and inflammatory stress can abolish pro-arrhythmic factors and the development of an arrhythmia substrate. This could prove a powerful tool of reducing cardiac arrhythmia burden.

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Chepurnenko, S. A., A. D. Nasytko, and G. V. Shavkuta. "Rare variant of Remkheld syndrome." Experimental and Clinical Gastroenterology, no. 12 (January 16, 2022): 147–53. http://dx.doi.org/10.31146/1682-8658-ecg-196-12-147-153.

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Introduction. Gastroesophageal reflux disease (GERD) can be accompanied by a triad of cardiac symptoms (arrhythmia, cardialgia, signs of autonomic dysfunction). This syndrome is called gastro-cardiac or Remheld syndrome. The most common rhythm disturbances in Remheld syndrome are atrial fibrillation, supraventricular extrasystole. In the clinical case we have described, a rare variant of Remheld’s syndrome is presented: paroxysmal ventricular tachycardia with GERD.Description of the clinical case. Patient V., 48 years old, applied to a cardiologist on 21.04.21 with complaints of attacks of sudden palpitations, disturbing for six months. From the anamnesis it is known that since 2017 he has been suffering from GERD, he does not take drugs for stopping reflux attacks for 6 months, canceling it on his own. According to Holter ECG monitoring from 03/20/21, paroxysmal ventricular tachycardia was revealed. According to echocardioscopy data from 04/26/21, no structural changes that could be the cause of this life-threatening rhythm disturbance were found. Video gastroscopy from 04/28/21: distal reflux esophagitis. Endoscopic signs of hiatal hernia. Lack of cardia 2 tbsp. Gastroesophageal prolapse. At the consultation with a gastroenterologist, the patient was prescribed both non-drug (lifestyle correction) and drug treatment: rabeprozole, clarithromycin, amoxicillin and others. In addition for the relief of paroxysmal ventricular tachycardia—amiodarone, telmisartan.Discussion. According to studies, one of the mechanisms of arrhythmia in GERD is associated with the excitation of the distal esophagus by refluctate with the development of viscero-visceral reflexes mediated through n. vagus. Increased activation of n. vagus creates an arrhythmogenic substrate for the re-entry mechanism, and thus increases the risk of arrhythmias. Antiarrhythmic therapy along with the treatment of GERD led to the elimination of VT paroxysms. Later, 2 months after the withdrawal of antiarrhythmic drugs against the background of ongoing GERD therapy, paroxysms of VT were not recorded. This was also a confirmation of the pathogenetic relationship between GERD and paroxysmal VT.Conclusion. The case is of interest to the development of a life-threatening rhythm disturbance: paroxysmal ventricular tachycardia against the background of GERD, which is a very rare variant of Remkheld’s syndrome and is not found in the available literature.

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Sridhar, Anuradha, Alessandro Giamberti, Sara Foresti, et al. "Fontan conversion with concomitant arrhythmia surgery for the failing atriopulmonary connections: mid-term results from a single centre." Cardiology in the Young 21, no. 6 (2011): 665–69. http://dx.doi.org/10.1017/s1047951111000643.

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AbstractObjectivesClassical Atriopulmonary Fontan connections tend to fail in the long term due to progressive anastomotic site obstruction, right atrial enlargement, and refractory atrial arrhythmias. Conversion to total cavopulmonary connection with concomitant arrhythmia surgery is a promising treatment but optimal timing of the procedure remains controversial.MethodsBetween the years 2002 and 2009, 15 patients with a median age of 26.2 (12–43) years underwent Fontan conversion operation with concomitant arrhythmia surgery. All were symptomatic and 14 out of the 15 patients had refractory arrhythmias. The duration of pre-operative arrhythmia and the outcome of surgery were correlated to study the impact of delay in surgical intervention on post-operative survival and arrhythmia control.ResultsThere were two patients who died in the early post-operative period (13.3%). At the mid-term follow-up, 53 (20–86) months, late atrial arrhythmias had recurred in two of the 13 surviving patients (15.30%) and one patient developed late sinus node dysfunction. The need for anti-arrhythmic drugs decreased considerably from 93.5% to 15.3% on mid-term follow-up. There was no late death or need for cardiac transplantation. The duration of arrhythmia before surgery was prolonged for more than 10 years in patients who died as well as in those who had complications like late recurrence of arrhythmias, dependence on anti-arrhythmic medications, and worsening of ventricular dysfunction.ConclusionsFontan conversion is a well-established treatment option for salvaging the failing atriopulmonary connections. Concomitant arrhythmia surgery effectively resolves the refractory atrial arrhythmias and improves survival, but we need to optimise the timing of Fontan conversion to improve the long-term outcome.

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Eftekhari, Helen. "Pharmacotherapy in arrhythmias: an overview of anti-arrhythmic drug therapy." Journal of Prescribing Practice 2, no. 11 (2020): 582–88. http://dx.doi.org/10.12968/jprp.2020.2.11.582.

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The article aims to give an overview of the principles in anti-arrhythmic drug prescribing. Practitioners assessing cardiac patients are highly likely to review anti-arrhythmic drug therapies and need an understanding of the principles of therapy. The cardiac action potential is explained, followed by general principles involved in treating arrhythmias and prescribing decisions. An overview of the five classifications of anti-arrhythmic drugs is given, with examples of the main drugs in the classification and principles to consider within each. Finally anticoagulation is reviewed being a cornerstone prescribing decision in the most common arrhythmia, atrial fibrillation.

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Gauvrit, Sébastien, Jaclyn Bossaer, Joyce Lee, and Michelle M. Collins. "Modeling Human Cardiac Arrhythmias: Insights from Zebrafish." Journal of Cardiovascular Development and Disease 9, no. 1 (2022): 13. http://dx.doi.org/10.3390/jcdd9010013.

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Cardiac arrhythmia, or irregular heart rhythm, is associated with morbidity and mortality and is described as one of the most important future public health challenges. Therefore, developing new models of cardiac arrhythmia is critical for understanding disease mechanisms, determining genetic underpinnings, and developing new therapeutic strategies. In the last few decades, the zebrafish has emerged as an attractive model to reproduce in vivo human cardiac pathologies, including arrhythmias. Here, we highlight the contribution of zebrafish to the field and discuss the available cardiac arrhythmia models. Further, we outline techniques to assess potential heart rhythm defects in larval and adult zebrafish. As genetic tools in zebrafish continue to bloom, this model will be crucial for functional genomics studies and to develop personalized anti-arrhythmic therapies.

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Shashank, Shekhar Mishra, Kumar Neeraj, Sirvi Gajaram, Shekhar Sharma Chandra, Pratap Singh Hamendra, and Pandiya Harshda. "Computational Prediction of Pharmacokinetic, Bioactivity and Toxicity Parameters of Some Selected Anti arrhythmic Agents." Pharmaceutical and Chemical Journal 4, no. 5 (2017): 143–46. https://doi.org/10.5281/zenodo.13853911.

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Many pharmacological agents are available for the treatment of cardiac arrhythmias. Arrhythmia may be classified on the basis of rate (bradycardia and tachycardia), mechanism (automaticity, re-entry, triggered) or duration (isolated premature beats; couplets). The treatment approach to arrhythmia depends firstly on whether or not the affected person is stable or unstable. This research investigation finds the various pharmacokinetic, bioactivity and toxicity parameters for some selected anti-arrhythmic agents for designing new agents.  

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Dissertations / Theses on the topic "Cardia arrhythmia"

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Rodriguez, Luz-Maria. "New observations on cardiac arrhythmias." Maastricht : Maastricht : Universitaire Pers Maastricht ; University Library, Maastricht University [Host], 1994. http://arno.unimaas.nl/show.cgi?fid=6619.

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Ware, James. "Genomic dissection of arrhythmia and cardiac electromechanics." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/39405.

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Cardiac arrhythmia is a leading cause of death in the developed world and a final common pathway for many forms of cardiac disease. Rare inherited arrhythmia syndromes contribute to this disease burden, particularly through sudden death in the young. The study of rare syndromes, such as inherited arrhythmia, can also identify genes and pathways important in common diseases. Here, genomic approaches were applied to dissect genetic determinants of cardiac arrhythmia, through gene discovery, variant discovery, and variant annotation. First, whole-exome sequencing was used to identify the genetic basis of an unexplained inherited arrhythmia syndrome. Linkage analysis and conventional sequencing excluded known causative genes in a family with Brugada Syndrome, and whole exome sequencing identifie d a shortlist of five new candidate genes that may lead to a genetic diagnosis in this family and new insights into the pathogenesis of the condition. Following the identification of genes responsible for inherited arrhythmia syndromes, the recognition of specific disease-causing variants in those genes allows for clinical application, including molecular diagnosis, cascade screening and stratified therapy. Here, two high-throughput next-generation sequencing approaches for the detection of variants in these genes were compared, technically evaluated, and optimis ed. This represents the de novo establishment of next-generation sequencing technologies and analysis pathways in our laboratory, and provides a platform for molecular diagnosis and future genotype-phenotype correlation studies. Finally, a novel approach for the functional annotation of non-synonymous variants was developed. This approach, termed 'Paralogous Annotation', identifies functionally important, disease-associated residues across protein families using multiple sequence alignment. Paralogous Annotation was validated here by demonstrating the accurate identification of disease-causing variation in genes that cause long QT syndrome - an important cause of sudden death. This methodology is widely applicable to annotate Mendelian human disease genes.

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Kehrle, Florian [Verfasser]. "Inverse simulation for cardiac arrhythmia / Florian Kehrle." Magdeburg : Universitätsbibliothek, 2018. http://d-nb.info/1160593698/34.

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Ye, Yanping. "Designing New Drugs to Treat Cardiac Arrhythmia." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/638.

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Heart failure resulting from different forms of cardiomyopathy is defined as the inability of the heart to pump sufficient blood to meet the body's metabolic demands. It is a major disease burden worldwide and the statistics show that 50% of the people who have the heart failure will eventually die from sudden cardiac death (SCD) associated with an arrhythmia. The central cause of disability and SCD is because of ventricular arrhythmias. Genetic mutations and acquired modifications to RyR2, the calcium release channel from sarcoplasmic reticulum, can increase the pathologic SR Ca2+ leak during diastole, which leads to defects in SR calcium handling and causes ventricular arrhythmias. The mechanism of RyR2 dysfunction includes abnormal phosphorylation, disrupted interaction with regulatory proteins and ions, or altered RyR2 domain interactions. Many pharmacological strategies have shown promising prospects to modulate the RyR2 as a therapy for treating cardiac arrhythmias. Here, we are trying to establish a novel approach to designing new drugs to treat heart failure and cardiac arrhythmias. Previously, we demonstrated that all pharmacological inhibitors of RyR channels are electron donors while all activators of RyR channels are electron acceptors. This was the first demonstration that an exchange of electrons was a common molecular mechanism involved in modifying the function of the RyR. Moreover, we found that there is a strong correlation between the strength of the electron donor/acceptor, and its potency as a channel inhibitor/activator, which could serve as a basis and direction for developing new drugs targeting the RyR. In this study, two new potent RyR inhibitors, 4-methoxy-3-methyl phenol (4-MmC) and the 1,3 dioxole derivative of K201, were synthesized which are derivatives of the known RyR modulators, 4-chloro-3-methyl phenol (4-CmC) and K201. The ability of K201, 1,3 dioxole derivative of K201 and 4-MmC to inhibit the cardiac calcium channel is examined and compared at the single channel level. All of these compounds inhibited the channel activity at low micromolar concentrations or sub-micromolar concentrations.

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Lee, Ying-siu Andrew, and 李應紹. "Endogenous opioid peptides and cardiac arrhythmias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31231275.

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Bonilla, Ingrid Marie. "Acquired Electrophysiological Remodeling and Cardiac Arrhythmias." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1396024058.

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Lee, Ying-siu Andrew. "Endogenous opioid peptides and cardiac arrhythmias /." [Hong Kong] : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12358812.

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Chai, Shin Luen Chai. "Novel Genetic Modifiers in a Monogenic Cardiac Arrhythmia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1516618028568975.

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Zhou, Yuan, and 周嫄. "Ionic mechanisms of chloroform-induced cardiac arrhythmias." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43085325.

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Sitsapesan, R. "Opioid receptors and ischaemia-induced cardiac arrhythmias." Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381536.

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Books on the topic "Cardia arrhythmia"

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A, Kastor John, ed. Arrhythmias. W.B. Saunders, 1993.

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1937-, Mandel William J., ed. Cardiac arrhythmias: Their mechanisms, diagnosis, and management. 2nd ed. Lippincott, 1987.

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1937-, Mandel William J., ed. Cardiac arrhythmias: Their mechanisms, diagnosis, and management. 3rd ed. Lippincott, 1995.

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E, Kulbertus H., ed. Medical management of cardiac arrhythmias. Churchill Livingstone, 1986.

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A, Payne Wayne, ed. Focus on health. 6th ed. McGraw-Hill, 2003.

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A, Payne Wayne, ed. Focus on health. Mosby Year Book, 1991.

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Hahn, Dale B. Focus on health. McGraw-Hill, 2011.

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Hahn, Dale B. Focus on health. MosbyYear Book, 1990.

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Hahn, Dale B. Focus on health. 4th ed. WCB/McGraw-Hill, 1999.

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A, Payne Wayne, and Mauer Ellen, eds. Focus on health. 9th ed. McGraw-Hill, 2009.

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Book chapters on the topic "Cardia arrhythmia"

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Toro, Adriana, and Isidoro Di Carlo. "Cardiac Arrhythmia." In Totally Implantable Venous Access Devices. Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2373-4_15.

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Peters, Nils, Martin Dichgans, Sankar Surendran, et al. "Cardiac Arrhythmia." In Encyclopedia of Molecular Mechanisms of Disease. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_9079.

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Parikh, Milind G. "Arrhythmia Syndromes." In Cardiac Electrophysiology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-75326-9_9.

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Gutierrez, Cecilia, and Esmat Hatamy. "Cardiac Arrhythmias." In Family Medicine. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-04414-9_84.

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Klinkman, Michael S. "Cardiac Arrhythmias." In Family Medicine. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2947-4_77.

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Sangrigoli, Robert, and Henry H. Hsia. "Cardiac Arrhythmias." In Critical Care Study Guide. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3927-5_15.

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Hatch, Robert L., Ken Grauer, and John G. Gums. "Cardiac Arrhythmias." In Family Medicine. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4757-4005-9_79.

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Varshney, J. P. "Cardiac Arrhythmias." In Electrocardiography in Veterinary Medicine. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3699-1_10.

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Ghosh, Supradip. "Cardiac Arrhythmias." In ICU Protocols. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0898-1_24.

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Dosdall, Derek J., and Raymond E. Ideker. "Cardiac Arrhythmias." In TASER® Conducted Electrical Weapons: Physiology, Pathology, and Law. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85475-5_9.

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Conference papers on the topic "Cardia arrhythmia"

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Naaz, Rahema, and Shafeeq Ahmad. "Early Detection and Classification of Cardiac Ventricular Arrhythmia." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS). IEEE, 2025. https://doi.org/10.1109/icfts62006.2025.11031544.

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Therien, Aidan, Arielle Joasil, and Christine P. Hendon. "Cardiac Substrate Classification of Human Venoatrial Junction OCT Images." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.ath3b.6.

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Atrial fibrillation is the most common arrhythmia in the United States. Radiofrequency ablation is a procedure during which lesions are placed within the left atrium to prevent these signals from conducting. Correctly targeting the substrate is a critical aspect of this procedure; however, there is no real-time guidance during this procedure. This research investigates the use of optical coherence tomography-guided feedback by classifying patches from images of the venoatrial junction.

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Khuat Van, Duc, Tuan Anh Tran, Thu-Hang Thi Nguyen, and Minh Tuan Nguyen. "Deep Learning Based Cardiac Arrhythmia Detection Using Wavelet Transform." In 2024 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2024. https://doi.org/10.1109/atc63255.2024.10908155.

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Garr, RO, and S. Slee. "G389(P) Multifocal cardia arrhythmia in the newborn." In Royal College of Paediatrics and Child Health, Abstracts of the RCPCH Conference and exhibition, 13–15 May 2019, ICC, Birmingham, Paediatrics: pathways to a brighter future. BMJ Publishing Group Ltd and Royal College of Paediatrics and Child Health, 2019. http://dx.doi.org/10.1136/archdischild-2019-rcpch.375.

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Malidze, David, Rishu Bansal, Marina Noniashvili, Natia JoJua, Tinatin Gognadze, and Mreisa Ahmad. "Cardiac Arrhythmias in Patients with Myocarditis in the Post-COVID-19 Period." In Socratic Lectures 8. University of Lubljana Press, 2023. http://dx.doi.org/10.55295/psl.2023.ii1.

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To date, several cardiotropic viruses have been implicated as causes of myocarditis. The most detected are parvovirus B19, and human herpes virus 6. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) are the respiratory viruses that have recently triggered the unprecedented pandemic process. The involvement and impact of these viruses in viral cardiovascular disease are under study. Despite extensive research into the pathological mechanisms of viral infections of the cardiovascular system, our knowledge regarding their treatment and management is still incomplete. A condition caused by post- Co rona Virus Disease (COVID-19) myocarditis seems to have distinct inflammatory characteristics. Many kinds of arrhythmias may occur in patients with post-COVID-19 myocarditis and result in arrhythmogenic cardio-myopathy and sudden cardiac death. Sometimes arrhythmia can be the first and only symptom of myocarditis. However, compared to the other clinical presentations, arrhythmic myocarditis has been poorly described in the literature. The increased risk of arrhythmias in patients with a post-COVID-19 period is most likely a consequence of systemic inflammation and diseases, not just a direct consequence of the viral infection. A decrease in heart rate variability can contribute to electrical instability of the myocardium and the occurrence of arrhythmias. Cardiac magnetic resonance imaging and endomyocardial biopsy are the most useful tests for myocarditis. However, different from the other clinical presentations, arrhythmic myocarditis requires specific diagnostic, prognostic, and therapeutic considerations. This review aims to critically summarize the state of the art on myocarditis presenting with arrhythmias in terms of epidemiology, aetiology, diagnosis, prognosis, and treatment. Keywords: Post-COVID-19; SARS-CoV-2; Myocarditis; Arrhythmias; Ferroptosis; Vaccination

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Boyer, Richard B., Pramode Chiruvolu, Arun Jose, et al. "Enhancing SVT Discrimination in Implantable Cardioverter Defibrillators Using MEMS Accelerometers." In ASME 2007 2nd Frontiers in Biomedical Devices Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/biomed2007-38056.

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Sudden cardiac death (SCD) accounts for over 325,000 deaths in the United States per year. Implantable cardioverter defibrillators (ICDs), about 100,000 of which are implanted each year, are used to diagnose and treat cardiac arrhythmias in patients that are at risk for sudden cardiac death due to ventricular fibrillation. Upon detection of an arrhythmia, the ICD has several treatment options, all of which deliver varied amounts of electric current to the myocardium. Detection of ventricular tachycardia (VT) or ventricular fibrillation (VF) prompts the ICD to administer high-energy defibrillation shocks, which can exceed 30J. The current method for sensing arrhythmias is the use of electrodes implanted in the myocardium which are capable of detecting electric potentials. The extensively studied algorithms that analyze electrogram sensor data have allowed ICD’s to achieve a 0% false negative rate for detection of fibrillation. The drawback, however, is the high false positive rate of over 22%. False positives result in inappropriate shocks which have detrimental effects on patient health and quality of life [1].

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Nedeljkovic-Arsenovic, Olga. "Magnetic resonance in the cardiovascular diseases – the great diagnostic challenge of 21st century." In 7 th International Congress of Cardionephrology - KARNEF 2025. Punta Niš, 2025. https://doi.org/10.46793/karnef25.069na.

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Cardiovascular diseases (CVD) are the leading cause of death in the world as well as in our country. Most CVD could be prevented by correcting behavioural and environmental risk factors such as tobacco use, reduction of weight, harmful use of alcohol and air pollution, but also by increasing physical activity1. Patients with chronic kidney disease (CKD) have an elevated cardiovascular risk that presents as coronary artery disease, heart failure, arrhythmias, and sudden cardiac death2. The incidence of morbidity and mortality in dialysis patients is greater than in the general population. Arrhythmia/cardiac arrest alone is the cause of death in 40% of dialysis patients2. CKD causes a systemic, chronic pro-inflammatory state leading to vascular and myocardial remodeling processes resulting in atherosclerotic lesions, vascular and valvular calcifications as well as myocardial fibrosis3. Cardiac fibrosis in patients with CKD is characterized by diffuse collagen deposition between capillaries and cardiomyocytes funneling into the maladaptive ventricular hypertrophy with subsequent dilatation of the heart.

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Marques, Bruno Torres, Regis Pires Magalhães, Lívia Almada, João Paulo do V. Madeiro, César Lincoln C. Mattos, and José Macedo. "Interpretability of Machine Learning Models for Cardiac Arrhythmia Classification." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246550.

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Context: Cardiovascular diseases, particularly cardiac arrhythmias, cause global mortality. Electrocardiograms (ECG) are essential for diagnoses. However, the automated analysis of ECG signals using machine learning faces interpretability challenges, which are crucial for accepting these models in medical practice. Problem: The classification of cardiac arrhythmias using machine learning faces resistance in the medical field due to the black-box nature of these models, which hinders the understanding of decisions and reduces professional trust. There is a need for interpretable models that reveal the critical factors in diagnosis, fostering the reliable use of artificial intelligence in healthcare. Solution: This work proposes an interpretable model for classifying cardiac arrhythmias, using machine learning to identify and visually explain the ECG features contributing to the diagnosis, with explanations at the model, class, and specific signal levels. IS Theory: This work is based on the Technology Acceptance Model (TAM), which suggests that "perceived usefulness" and "perceived ease of use" influence the intention to use a system. In healthcare, these perceptions relate to the model’s ability to provide clear and helpful explanations, facilitating medical professionals’ adoption of artificial intelligence (AI). Method: Instead of using raw biosignals, extracted ECG features are employed to enhance interpretability. This approach provides model-agnostic explanations at both local and global levels. Interpretability techniques are applied to clarify the contribution of each feature to the diagnosis. Summary of Results: Features such as the variability and median of RR and PR intervals and the signal-to-noise ratio of ECG signals are crucial for accurate arrhythmia classification. Contributions and Impact on IS: The approach allows for understanding the influence of specific ECG features on diagnosis, helping to identify patterns that support classification decisions and promoting the adoption of AI with trust and responsibility in medical practice.

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Naseery, Huzair Ahmad, and Murat Ekinci. "Classification of Cardiac Arrhythmias Using CNN-LSTM Networks and Wide Features." In 8th International Students Science Congress. ULUSLARARASI ÖĞRENCİ DERNEKLERİ FEDERASYONU (UDEF), 2024. https://doi.org/10.52460/issc.2024.021.

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Cardiac arrhythmias are an essential challenge for clinical diagnosis and treatment; accurate and efficient classification methods are necessary to ensure precision. This study proposes a novel ap-proach using deep-learning methods on 12-lead Electrocardiogram (ECG) recordings to classify car-diac abnormalities. Our approach merges a CNN Long Short-Term Memory (CNN-LSTM) network with static features to classify the 12-lead ECG. Our method uses the raw ECG waveforms as input to CNN to comprise the ECG waveforms, which are then fed to the LSTM network. Then, a set of 64 automatically learned features from the CNN-LSTM network merged with static ECG features. Experimental studies have been performed for nine different types of heartbeats obtained from the CPSC2018 dataset. These nine types are Normal Sinus Rhythm (NSR), Right Bundle Branch Block (RBBB), Atrial Fibrillation (AF), 1st Degree Av Block (IAVB), Premature Ventricular Contractions (PVC), Left Bundle Branch Block (LBBB), Premature Atrial Contraction (PAC), St Depression (STD), and St Elevation (STE). We got an Area Under the Receiver Operating Characteristic (AU-ROC) score of 0.9324. Our findings highlight the effectiveness of applying deep learning architec-tures and static ECG features for accurate and clinically relevant arrhythmia classification. This re-search contributes to advancing the field of cardiac diagnostics and offers a promising way to im-prove the efficiency and accuracy of arrhythmia detection in clinical practice.

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Elias, Tony, Mena Elmalh, Kyrillos Girgis, Michael Valderrama, and Rafail Beshai. "Clinical Outcomes for Cardiac Ablation in Octogenarians, Nonagenarians, and Centenarians: A Retrospective Cohort Study." In 28th Annual Rowan-Virtua Research Day. Rowan University Libraries, 2024. http://dx.doi.org/10.31986/issn.2689-0690_rdw.stratford_research_day.70_2024.

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Background Cardiac ablation is a therapeutic intervention aimed at correcting abnormal heart rhythms by disrupting electrical pathways in the heart, using techniques such as radiofrequency or cryoablation. Despite its effectiveness, there is a scarcity of data regarding the outcomes of cardiac ablation specifically among elderly patients. Previous studies have highlighted the complexities and challenges associated with managing cardiac arrhythmias in the elderly population, emphasizing the need for further investigation into treatment outcomes in this demographic.1,2 Therefore, this study aimed to investigate in-hospital outcomes among elderly patients who underwent cardiac ablation using data from the National Inpatient Sample (NIS) Database. Methods Data from the NIS Database for the years 2019 and 2020 were utilized to identify hospitalizations of adult patients who underwent cardiac ablation based on international classification of diseases 10th revision codes. Patients were stratified into two groups: those aged 80 years or older (≥80 YO) and those younger than 80 years old. Linear regression and multivariate logistic regression were employed to adjust for confounding variables, with inpatient mortality as the primary outcome measure. Statistical analyses were conducted using SPSS software. Results The study included 25,754 patients who underwent cardiac ablation, with 3,743 (14.5%) being elderly (≥80 YO). Elderly patients had a significantly higher prevalence of hypertension (66.8% vs. 51%, P Conclusions This nationally representative population-based retrospective cohort study underscores the association between cardiac ablation and heightened mortality, as well as worse outcomes, among older patients. These findings highlight the importance of tailored approaches to cardiac arrhythmia management in the elderly population.

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Reports on the topic "Cardia arrhythmia"

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Ye, Yanping. Designing New Drugs to Treat Cardiac Arrhythmia. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.638.

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Li, Xiao, Fayang Ling, Wenchuan Qi, et al. Preclinical Evidence of Acupuncture on infarction size of Myocardial ischemia: A Systematic Review and Meta-Analysis of Animal Studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0044.

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Review question / Objective: Whether acupuncture is effective for infarction size on myocardial ischemia rat models. Condition being studied: Myocardial ischemia is a typical pathological condition of coronary heart disease (CHD), which has been a global issue with high incidence and mortality. Myocardial infarction caused by myocardial ischemia leads to cardiac dysfunction, and the size of myocardial infarction also determines the recovery and prognosis of cardiac function. Acupuncture, a long history of traditional Chinese medicine, is widely used to treat symptoms like thoracalgia and palpitation. Many researches based on rat experiments have shown that acupuncture affects infarction size, cardiac function, myocardial enzyme or arrhythmias severity on myocardial ischemia models; nevertheless, few literatures have systematically reviewed these studies, assessing the risk of bias, quality of evidence, validity of results, and summarizing potential mechanisms. A systematic review of animal studies can benefit future experimental designs, promote the conduct and report of basic researches and provide some guidance to translate the achievements of basic researches to clinical application in acupuncture for myocardial ischemia. Therefore, we will conduct this systematic review and meta analysis to evaluate effects of acupuncture on infarction size on myocardial ischemia rat models.

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Pshezhetskiy, Dmitry, Tanveer Alam, and Heba Alshaker. Unsynchronised Cardioversion as a Cause of Ventricular Tachycardia in a Patient with Atrial Fibrillation. Nature Library, 2020. http://dx.doi.org/10.47496/nl.ccr.2020.01.02.

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Background: Synchronised cardioversion (SC) is used to terminate tachycardic arrhythmia by applying electric current to the thorax. SC is synchronised to the R wave of the cardiac cycle and ventricular tachycardia (VT) or ventricular fibrillation (VF) can occur if an electrical shock is provided in a nonsynchronised way. Case Presentation: Here we present a case of a 66-year-old man who had elective cardioversion for atrial fibrillation worsened by severe left ventricular impairment. A manual defibrillator was used for the cardioversion, which, after the first synchronised shock, reverted to defibrillator mode. An unsynchronised shock was administered and induced VT, which was reverted to sinus rhythm with a defibrillation shock. Conclusion: When using manual defibrillator for SC, the machine needs to be set to a synchronised mode. The synchronisation to the R wave needs to be checked before every shock.

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Shalganov, Tchavdar, Milko Stoyanov, and Vassil Traykov. Outcomes following catheter ablation for ventricular tachycardia in adult patients with structural heart disease and implantable cardioverter-defibrillator: protocol for an updated systematic review and meta-analysis of randomized studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0080.

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Review question / Objective: Does catheter ablation for scar-related monomorphic ventricular tachycardia improve outcomes (defined as any appropriate ICD therapy, appropriate ICD shocks, all-cause mortality, VT storm, cardiovascular mortality, cardiovascular hospitalizations, complications) in adult patients with ischemic or non-ischemic cardiomyopathy and implantable cardioverter-defibrillator? Condition being studied: Ventricular tachycardia in patients with structural heart disease is usually an arrhythmia using the myocardial scar as a substrate for reentry. It poses a risk of syncope and sudden cardiac death, especially in patients with reduced ejection fraction. Most antiarrhythmic drugs are of little value and their use is restricted in patients with LV systolic dysfunction. Catheter ablation is a viable option for the treatment of ventricular tachycardia. In patients with previous myocardial infarction the arrhythmogenic scar is located most frequently subendocardially and is readily accessible using endocardial approach, while in non-ischemic cardiomyopathy the scar is frequently located in the midmyocardial or subepicardial layers. This is the reason endocardial catheter ablation to be less effective in those patients and to more often necessitate epicardial approach.

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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.

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Schwieger, Alexandra, Kaelee Shrewsbury, and Paul Shaver. Dexmedetomidine vs Fentanyl in Attenuating the Sympathetic Surge During Endotracheal Intubation: A Scoping Review. University of Tennessee Health Science Center, 2021. http://dx.doi.org/10.21007/con.dnp.2021.0007.

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Purpose/Background Direct laryngoscopy and endotracheal intubation after induction of anesthesia can cause a reflex sympathetic surge of catecholamines caused by airway stimulation. This may cause hypertension, tachycardia, and arrhythmias. This reflex can be detrimental in patients with poor cardiac reserve and can be poorly tolerated and lead to adverse events such as myocardial ischemia. Fentanyl, a potent opioid, with a rapid onset and short duration of action is given during induction to block the sympathetic response. With a rise in the opioid crisis and finding ways to change the practice in medicine to use less opioids, dexmedetomidine, an alpha 2 adrenergic agonist, can decrease the release of norepinephrine, has analgesic properties, and can lower the heart rate. Methods In this scoping review, studies published between 2009 and 2021 that compared fentanyl and dexmedetomidine during general anesthesia induction and endotracheal intubation of surgical patients over the age of 18 were included. Full text, peer-reviewed studies in English were included with no limit on country of study. The outcomes included post-operative reviews of decrease in pain medication usage and hemodynamic stability. Studies that were included focused on hemodynamic variables such as systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, and use of opioids post-surgery. Result Of 2,114 results from our search, 10 articles were selected based on multiple eligibility criteria of age greater than 18, patients undergoing endotracheal intubation after induction of general anesthesia, and required either a dose of dexmedetomidine or fentanyl to be given prior to intubation. Dexmedetomidine was shown to effectively attenuate the sympathetic surge during intubation over fentanyl. Dexmedetomidine showed a greater reduction in heart rate, systolic blood pressure, diastolic blood pressure, mean arterial pressure than fentanyl, causing better hemodynamic stability in patients undergoing elective surgery.Implications for Nursing Practice Findings during this scoping review indicate that dexmedetomidine is a safe and effective alternative to fentanyl during induction of general anesthesia and endotracheal intubation in attenuating the hemodynamic response. It is also a safe choice for opioid-free anesthesia.

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Newman-Toker, David E., Susan M. Peterson, Shervin Badihian, et al. Diagnostic Errors in the Emergency Department: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepccer258.

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Objectives. Diagnostic errors are a known patient safety concern across all clinical settings, including the emergency department (ED). We conducted a systematic review to determine the most frequent diseases and clinical presentations associated with diagnostic errors (and resulting harms) in the ED, measure error and harm frequency, as well as assess causal factors. Methods. We searched PubMed®, Cumulative Index to Nursing and Allied Health Literature (CINAHL®), and Embase® from January 2000 through September 2021. We included research studies and targeted grey literature reporting diagnostic errors or misdiagnosis-related harms in EDs in the United States or other developed countries with ED care deemed comparable by a technical expert panel. We applied standard definitions for diagnostic errors, misdiagnosis-related harms (adverse events), and serious harms (permanent disability or death). Preventability was determined by original study authors or differences in harms across groups. Two reviewers independently screened search results for eligibility; serially extracted data regarding common diseases, error/harm rates, and causes/risk factors; and independently assessed risk of bias of included studies. We synthesized results for each question and extrapolated U.S. estimates. We present 95 percent confidence intervals (CIs) or plausible range (PR) bounds, as appropriate. Results. We identified 19,127 citations and included 279 studies. The top 15 clinical conditions associated with serious misdiagnosis-related harms (accounting for 68% [95% CI 66 to 71] of serious harms) were (1) stroke, (2) myocardial infarction, (3) aortic aneurysm and dissection, (4) spinal cord compression and injury, (5) venous thromboembolism, (6/7 – tie) meningitis and encephalitis, (6/7 – tie) sepsis, (8) lung cancer, (9) traumatic brain injury and traumatic intracranial hemorrhage, (10) arterial thromboembolism, (11) spinal and intracranial abscess, (12) cardiac arrhythmia, (13) pneumonia, (14) gastrointestinal perforation and rupture, and (15) intestinal obstruction. Average disease-specific error rates ranged from 1.5 percent (myocardial infarction) to 56 percent (spinal abscess), with additional variation by clinical presentation (e.g., missed stroke average 17%, but 4% for weakness and 40% for dizziness/vertigo). There was also wide, superimposed variation by hospital (e.g., missed myocardial infarction 0% to 29% across hospitals within a single study). An estimated 5.7 percent (95% CI 4.4 to 7.1) of all ED visits had at least one diagnostic error. Estimated preventable adverse event rates were as follows: any harm severity (2.0%, 95% CI 1.0 to 3.6), any serious harms (0.3%, PR 0.1 to 0.7), and deaths (0.2%, PR 0.1 to 0.4). While most disease-specific error rates derived from mainly U.S.-based studies, overall error and harm rates were derived from three prospective studies conducted outside the United States (in Canada, Spain, and Switzerland, with combined n=1,758). If overall rates are generalizable to all U.S. ED visits (130 million, 95% CI 116 to 144), this would translate to 7.4 million (PR 5.1 to 10.2) ED diagnostic errors annually; 2.6 million (PR 1.1 to 5.2) diagnostic adverse events with preventable harms; and 371,000 (PR 142,000 to 909,000) serious misdiagnosis-related harms, including more than 100,000 permanent, high-severity disabilities and 250,000 deaths. Although errors were often multifactorial, 89 percent (95% CI 88 to 90) of diagnostic error malpractice claims involved failures of clinical decision-making or judgment, regardless of the underlying disease present. Key process failures were errors in diagnostic assessment, test ordering, and test interpretation. Most often these were attributed to inadequate knowledge, skills, or reasoning, particularly in “atypical” or otherwise subtle case presentations. Limitations included use of malpractice claims and incident reports for distribution of diseases leading to serious harms, reliance on a small number of non-U.S. studies for overall (disease-agnostic) diagnostic error and harm rates, and methodologic variability across studies in measuring disease-specific rates, determining preventability, and assessing causal factors. Conclusions. Although estimated ED error rates are low (and comparable to those found in other clinical settings), the number of patients potentially impacted is large. Not all diagnostic errors or harms are preventable, but wide variability in diagnostic error rates across diseases, symptoms, and hospitals suggests improvement is possible. With 130 million U.S. ED visits, estimated rates for diagnostic error (5.7%), misdiagnosis-related harms (2.0%), and serious misdiagnosis-related harms (0.3%) could translate to more than 7 million errors, 2.5 million harms, and 350,000 patients suffering potentially preventable permanent disability or death. Over two-thirds of serious harms are attributable to just 15 diseases and linked to cognitive errors, particularly in cases with “atypical” manifestations. Scalable solutions to enhance bedside diagnostic processes are needed, and these should target the most commonly misdiagnosed clinical presentations of key diseases causing serious harms. New studies should confirm overall rates are representative of current U.S.-based ED practice and focus on identified evidence gaps (errors among common diseases with lower-severity harms, pediatric ED errors and harms, dynamic systems factors such as overcrowding, and false positives). Policy changes to consider based on this review include: (1) standardizing measurement and research results reporting to maximize comparability of measures of diagnostic error and misdiagnosis-related harms; (2) creating a National Diagnostic Performance Dashboard to track performance; and (3) using multiple policy levers (e.g., research funding, public accountability, payment reforms) to facilitate the rapid development and deployment of solutions to address this critically important patient safety concern.

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Fire fighter suffers cardiac arrhythmia during grass fire operations and dies 10 days later - North Carolina. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2010. http://dx.doi.org/10.26616/nioshfffacef200928.

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Fire fighter suffers probable fatal cardiac arrhythmia during on-duty mandatory physical fitness training - North Carolina. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2010. http://dx.doi.org/10.26616/nioshfffacef201004.

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