FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288704520> ?p ?o ?g. }

• W4288704520 abstract "Since the last century, the electrocardiogram (ECG) remains the non-invasive test, that is, most easily accessible, feasible, and inexpensive for cardiology assessment. In past years, many novel ECG indexes and patterns have been published that allow for a more advanced evaluation of what is currently being done, especially based on subtle QRS changes and patterns.The objective of the study was to provide an update on the evidence and clinical applications of these ECG subtle QRS changes and patterns associated with heart disease.Through the literature review, we will highlight the subtle QRS changes and patterns associated with heart disease, mainly focusing on QRS duration, voltage, morphology, axis, and QT interval.Small increases in QRS duration are associated with a reduction in left ventricular ejection fraction (EF), increased cardiac chamber dimensions, and risk for incident heart failure (HF). Moreover, fragmentation of the QRS complex is associated with myocardial fibrosis and is a substrate for developing arrhythmic events. Besides, low amplitude QRS voltage is associated with congestive HF, and an increase in the voltage of the QRS complexes is associated with the effectiveness of diuresis treatment. Furthermore, small increases in QT interval are associated with diastolic dysfunction due to impaired sarcoplasmic reticulum calcium handling as occurs in myocardial ischemia, hypertension, or diabetes. On the other hand, in patients with left ventricular dysfunction, the QRS area is associated with clinical and echocardiographic response to cardiac resynchronization therapy regardless of the type of bundle branch block. In addition, subtle ECG changes and patterns in the left bundle branch block are associated with concomitant right ventricular dilation, mostly based on the QRS axis and voltage. Notwithstanding, to identify these subtle changes in QRS require exact manual measurements that can take time. In this regard, applying artificial intelligence (AI) to the ECG can make a quicker and more complete assessment, as well as provide a low cost when applied to large populations.We provided an update on the evidence and clinical applications of these subtle QRS changes and patterns associated with diastolic dysfunction, reduced EF, and HF development and therapy responsiveness, as well as their applications for AI to ECG." @default.
• W4288704520 created "2022-07-30" @default.
• W4288704520 creator A5001583828 @default.
• W4288704520 creator A5008837988 @default.
• W4288704520 creator A5013486049 @default.
• W4288704520 creator A5052221539 @default.
• W4288704520 creator A5080408846 @default.
• W4288704520 creator A5080844576 @default.
• W4288704520 date "2022-07-29" @default.
• W4288704520 modified "2023-09-26" @default.
• W4288704520 title "Subtle <scp>QRS</scp> changes are associated with reduced ejection fraction, diastolic dysfunction, and heart failure development and therapy responsiveness: Applications for artificial intelligence to <scp>ECG</scp>" @default.
• W4288704520 cites W1544247534 @default.
• W4288704520 cites W1566774359 @default.
• W4288704520 cites W1576812268 @default.
• W4288704520 cites W1816485900 @default.
• W4288704520 cites W1967428301 @default.
• W4288704520 cites W1970759244 @default.
• W4288704520 cites W1984718832 @default.
• W4288704520 cites W1986706069 @default.
• W4288704520 cites W1990173802 @default.
• W4288704520 cites W2022035281 @default.
• W4288704520 cites W2025297536 @default.
• W4288704520 cites W2030006970 @default.
• W4288704520 cites W2035945489 @default.
• W4288704520 cites W2037058577 @default.
• W4288704520 cites W2037788145 @default.
• W4288704520 cites W2049037316 @default.
• W4288704520 cites W2057547167 @default.
• W4288704520 cites W2059342865 @default.
• W4288704520 cites W2059536162 @default.
• W4288704520 cites W2071589440 @default.
• W4288704520 cites W2079117219 @default.
• W4288704520 cites W2079312673 @default.
• W4288704520 cites W2082072065 @default.
• W4288704520 cites W2085461921 @default.
• W4288704520 cites W2094453463 @default.
• W4288704520 cites W2096851945 @default.
• W4288704520 cites W2107103201 @default.
• W4288704520 cites W2121090525 @default.
• W4288704520 cites W2134949933 @default.
• W4288704520 cites W2135533595 @default.
• W4288704520 cites W2141449498 @default.
• W4288704520 cites W2167905177 @default.
• W4288704520 cites W2472063975 @default.
• W4288704520 cites W2549857822 @default.
• W4288704520 cites W2557738935 @default.
• W4288704520 cites W2581082771 @default.
• W4288704520 cites W2617320279 @default.
• W4288704520 cites W2735217847 @default.
• W4288704520 cites W2767698820 @default.
• W4288704520 cites W2796979148 @default.
• W4288704520 cites W2807593075 @default.
• W4288704520 cites W2901226889 @default.
• W4288704520 cites W2904570840 @default.
• W4288704520 cites W2928542791 @default.
• W4288704520 cites W2970154784 @default.
• W4288704520 cites W3008117014 @default.
• W4288704520 cites W3017110767 @default.
• W4288704520 cites W3048867135 @default.
• W4288704520 cites W3217261033 @default.
• W4288704520 cites W4288704520 @default.
• W4288704520 doi "https://doi.org/10.1111/anec.12998" @default.
• W4288704520 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35904538" @default.
• W4288704520 hasPublicationYear "2022" @default.
• W4288704520 type Work @default.
• W4288704520 citedByCount "4" @default.
• W4288704520 countsByYear W42887045202022 @default.
• W4288704520 countsByYear W42887045202023 @default.
• W4288704520 crossrefType "journal-article" @default.
• W4288704520 hasAuthorship W4288704520A5001583828 @default.
• W4288704520 hasAuthorship W4288704520A5008837988 @default.
• W4288704520 hasAuthorship W4288704520A5013486049 @default.
• W4288704520 hasAuthorship W4288704520A5052221539 @default.
• W4288704520 hasAuthorship W4288704520A5080408846 @default.
• W4288704520 hasAuthorship W4288704520A5080844576 @default.
• W4288704520 hasBestOaLocation W42887045203 @default.
• W4288704520 hasConcept C111773187 @default.
• W4288704520 hasConcept C126322002 @default.
• W4288704520 hasConcept C164705383 @default.
• W4288704520 hasConcept C2776034619 @default.
• W4288704520 hasConcept C2777233412 @default.
• W4288704520 hasConcept C2777473070 @default.
• W4288704520 hasConcept C2778198053 @default.
• W4288704520 hasConcept C2780040984 @default.
• W4288704520 hasConcept C57900726 @default.
• W4288704520 hasConcept C71924100 @default.
• W4288704520 hasConcept C78085059 @default.
• W4288704520 hasConcept C84393581 @default.
• W4288704520 hasConceptScore W4288704520C111773187 @default.
• W4288704520 hasConceptScore W4288704520C126322002 @default.
• W4288704520 hasConceptScore W4288704520C164705383 @default.
• W4288704520 hasConceptScore W4288704520C2776034619 @default.
• W4288704520 hasConceptScore W4288704520C2777233412 @default.
• W4288704520 hasConceptScore W4288704520C2777473070 @default.
• W4288704520 hasConceptScore W4288704520C2778198053 @default.
• W4288704520 hasConceptScore W4288704520C2780040984 @default.
• W4288704520 hasConceptScore W4288704520C57900726 @default.
• W4288704520 hasConceptScore W4288704520C71924100 @default.
• W4288704520 hasConceptScore W4288704520C78085059 @default.
• W4288704520 hasConceptScore W4288704520C84393581 @default.

• next