Aims: To evaluate potential risk factors for primary ventricular fibrillation (PVF) during acute myocardial infarction (AMI) by a systematic review and meta-analyses.
Methods And Results: We searched PubMed for English articles on 'humans' published between 1964 and January 2006 using a validated combination of MESH terms. Twenty-one cohort studies describing 57 158 patients with AMI were analysed. Patients with validated PVF (n=2316) were characterized by an earlier admission (weighted mean difference -2.62 h), male gender [odds ratio (OR 1.27)], smoking (OR 1.26), absence of history of angina (OR for history of angina 0.84), lower heart rate at admission (weighted mean difference -4.02 b.p.m.), ST-segment elevation on admission ECG (OR 3.35), AV conduction block before PVF (OR 2.02), and lower serum potassium at admission (weighted mean difference -0.27 meq/L). Patients with validated PVF developed a larger enzymatic infarct size (standardized mean difference 0.74, P<0.00001). PVF was not associated with a history of myocardial infarction or hypertension.
Conclusion: Patients who developed a validated PVF presented with characteristics of both abrupt coronary occlusion and early hospital admission. This review provides no evidence for risk factors for PVF other than ST-elevation and time from onset of symptoms. To find new risk factors, studies should compare validated PVF patients with non-PVF patients who have no signs of heart failure and comparable time delay between onset of symptoms and medical attendance.
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http://dx.doi.org/10.1093/eurheartj/ehl218 | DOI Listing |
Rinsho Shinkeigaku
January 2025
Department of Neurology, Gifu Prefectural General Medical Center.
A 49-year-old female presented with the primary complaint of hand tremors. Neurological examination on admission revealed signs of cognitive impairment, bulbar palsy, dystonia, cerebellar ataxia, and pyramidal tract disease. T-weighted brain MRI revealed hyperintense signals in the subcortical white matter, basal ganglia, and cerebellar dentate nucleus, with no atrophy of the brainstem or corpus callosum.
View Article and Find Full Text PDFBackground: There are little available data about the impact of geriatric nutritional risk index (GNRI) on clinical outcomes following endovascular therapy (EVT) in chronic limb-threatening ischemia (CLTI) regarding the severities of renal dysfunction (RD).
Aims: The aim of this study is to evaluate the impact of GNRI on clinical outcomes following EVT in CLTI regarding the severities of RD.
Methods: We enrolled 705 consecutive CLTI cases treated with EVT between January 2010 and December 2019 at our hospital.
Diabetol Int
January 2025
Department of Endocrinology and Diabetes, NTT Medical Center Tokyo, 141-86255-9-22 Higashi-Gotanda, Shinagawa-ku, Tokyo Japan.
A 73-year-old Japanese woman was admitted to our hospital with anorexia, weight loss, and fever. A few weeks prior to admission, she became aware of anorexia. She was leukopenic, complement-depleted, and positive for antinuclear antibodies and anti-double stranded DNA antibodies.
View Article and Find Full Text PDFBMJ Paediatr Open
January 2025
Division of Psychiatry, University College London, London, UK
Objective: To investigate the associations between neonatal unit admission (NNU) and subsequent emotional and behavioural difficulties during childhood and adolescence.
Design: Longitudinal general population cohort study.
Setting: The Millennium Cohort Study: nationally representative UK-based cohort.
Pediatr Diabetes
January 2025
Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Objective: We sought to evaluate the risk of preterm labor and hypertensive disorders in adolescent pregnancies with and without diabetes.
Methods: We evaluated 1,843,139 adolescents (≤20 years old) with labor and delivery admissions in the national Kids' Inpatient Database (KID) in years 2006, 2009, 2012, 2016, and 2019. International classification of disease codes was used to identify diabetes and medical factors affecting pregnancy.
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