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BACKGROUND Second-degree atrioventricular (AV) block is a frequently encountered conduction abnormality on surface electrocardiogram (ECG). However, it does not always imply a block at the AV nodal level. In rare cases, this block can occur below the bundle of His, within the infra-Hisian region of the His-Purkinje system. While the incidence of infra-Hisian block is generally low in the general population, it becomes more common in specific high-risk groups, such as older adults and individuals with structural heart disease. Infra-Hisian block carries a significant risk of progressing to complete heart block, particularly if the patient shows a markedly prolonged His-ventricular (HV) interval or evidence of a bi-fascicular block. CASE REPORT We present the case of a 65-year-old woman who experienced recurrent episodes of syncope. Her surface ECG revealed a bi-fascicular block along with Wenckebach AV block, and 24-h Holter monitoring showed no other significant abnormalities. A baseline short PR interval with second-degree AV block indicated a possible infra-nodal block. An electrophysiology study confirmed an atypical Wenckebach AV block with second-degree infra-Hisian AV block. The patient subsequently underwent permanent pacemaker implantation. CONCLUSIONS Given its potential to develop into more severe forms of heart block, infra-Hisian block is a critical condition that requires accurate identification and management. Several ECG indicators can help diagnose second-degree AV block. For example, RP-dependent PR interval or RP-PR reciprocity is characteristic of Wenckebach AV block. A short PR interval at baseline and minimal amount of PR interval lengthening before block in type 1 second-degree AV block suggest involvement of the His-Purkinje system.
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http://dx.doi.org/10.12659/AJCR.946186 | DOI Listing |
Med Int (Lond)
August 2025
Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China.
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Department of Radiation Science, Hirosaki University Graduate School of Health Sciences, Hirosaki, Aomori 036-8564, Japan.
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View Article and Find Full Text PDFiScience
September 2025
School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China.
Deep learning has rapidly emerged as a promising toolkit for protein optimization, yet its success remains limited, particularly in the realm of activity. Moreover, most algorithms lack rigorous iterative evaluation, a crucial aspect of protein engineering exemplified by classical directed evolution. This study introduces DeepDE, a robust iterative deep learning-guided algorithm leveraging triple mutants as building blocks and a compact library of ∼1,000 mutants for training.
View Article and Find Full Text PDFEur Heart J Case Rep
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Feinberg School of Medicine, Northwestern University, 303E Chicago Ave, Ward 1-003, Chicago, IL 60611, USA.
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Front Microbiol
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Key Laboratory for Waste Plastics Biocatalytic Degradation and Recycling, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, China.
Polyurethane (PU), a segmented block copolymer with chemically resistant urethane linkages and tunable architecture, presents persistent biological recycling challenges. This study presents a Bacterial Laccase-Mediated System (BLMS) derived from for efficient degradation of polyester- and polyether-PU. Utilizing the laccase CotA and mediator 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), the BLMS demonstrated effective de polymerization of both commercial and self-synthesized PU foams, including polyester- and polyether-types.
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