Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study
Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This...
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creator | Duca, Ștefania-Teodora Badescu, Minerva Codruta Costache, Alexandru-Dan Chetran, Adriana Miftode, Radu Ștefan Tudorancea, Ionuț Mitu, Ovidiu Afrăsânie, Irina Ciorap, Radu-George Șerban, Ionela-Lăcrămioara Pavăl, D. Robert Dmour, Bianca Cepoi, Maria-Ruxandra Costache-Enache, Irina-Iuliana |
description | Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This study aims to explore the potential correlation between Holter ECG parameters and comorbidities in individuals with ischemic cardiomyopathy experiencing heart failure (HF), with a particular focus on the primary utility of these parameters as prognostic indicators. Materials and Methods: In this prospective inquiry, a cohort of 60 individuals diagnosed with heart failure underwent stratification into subgroups based on the presence of comorbidities, including diabetes, chronic kidney disease, obesity, or hyperuricemia. Upon admission, a thorough evaluation of all participants encompassed echocardiography, laboratory panel analysis, and 24 h Holter monitoring. Results: Significant associations were uncovered between diabetes and unconventional physiological indicators, specifically the Triangular index (p = 0.035) and deceleration capacity (p = 0.002). Pertaining to creatinine clearance, notable correlations surfaced with RMSSD (p = 0.026), PNN50 (p = 0.013), and high-frequency power (p = 0.026). An examination of uric acid levels and distinctive Holter ECG patterns unveiled statistical significance, particularly regarding the deceleration capacity (p = 0.045). Nevertheless, in the evaluation of the Body Mass Index, no statistically significant findings emerged concerning Holter ECG parameters. Conclusions: The identified statistical correlations between non-cardiac comorbidities and patterns elucidated in Holter ECG recordings underscore the heightened diagnostic utility of this investigative modality in the comprehensive evaluation of individuals grappling with HF. Furthermore, we underscore the critical importance of the thorough analysis of Holter ECG recordings, particularly with regard to subtle and emerging parameters that may be overlooked or insufficiently acknowledged. |
doi_str_mv | 10.3390/medicina60020342 |
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Robert ; Dmour, Bianca ; Cepoi, Maria-Ruxandra ; Costache-Enache, Irina-Iuliana</creator><creatorcontrib>Duca, Ștefania-Teodora ; Badescu, Minerva Codruta ; Costache, Alexandru-Dan ; Chetran, Adriana ; Miftode, Radu Ștefan ; Tudorancea, Ionuț ; Mitu, Ovidiu ; Afrăsânie, Irina ; Ciorap, Radu-George ; Șerban, Ionela-Lăcrămioara ; Pavăl, D. Robert ; Dmour, Bianca ; Cepoi, Maria-Ruxandra ; Costache-Enache, Irina-Iuliana</creatorcontrib><description>Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This study aims to explore the potential correlation between Holter ECG parameters and comorbidities in individuals with ischemic cardiomyopathy experiencing heart failure (HF), with a particular focus on the primary utility of these parameters as prognostic indicators. Materials and Methods: In this prospective inquiry, a cohort of 60 individuals diagnosed with heart failure underwent stratification into subgroups based on the presence of comorbidities, including diabetes, chronic kidney disease, obesity, or hyperuricemia. Upon admission, a thorough evaluation of all participants encompassed echocardiography, laboratory panel analysis, and 24 h Holter monitoring. Results: Significant associations were uncovered between diabetes and unconventional physiological indicators, specifically the Triangular index (p = 0.035) and deceleration capacity (p = 0.002). Pertaining to creatinine clearance, notable correlations surfaced with RMSSD (p = 0.026), PNN50 (p = 0.013), and high-frequency power (p = 0.026). An examination of uric acid levels and distinctive Holter ECG patterns unveiled statistical significance, particularly regarding the deceleration capacity (p = 0.045). Nevertheless, in the evaluation of the Body Mass Index, no statistically significant findings emerged concerning Holter ECG parameters. Conclusions: The identified statistical correlations between non-cardiac comorbidities and patterns elucidated in Holter ECG recordings underscore the heightened diagnostic utility of this investigative modality in the comprehensive evaluation of individuals grappling with HF. Furthermore, we underscore the critical importance of the thorough analysis of Holter ECG recordings, particularly with regard to subtle and emerging parameters that may be overlooked or insufficiently acknowledged.</description><identifier>ISSN: 1648-9144</identifier><identifier>DOI: 10.3390/medicina60020342</identifier><language>eng</language><publisher>MDPI AG</publisher><subject>Chronic kidney failure ; Comorbidity ; Electrocardiogram ; Electrocardiography ; Health aspects ; Heart diseases ; Medical research ; Medicine, Experimental ; Physiological aspects ; Uric acid</subject><ispartof>Medicina, 2024, Vol.60 (2)</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,860,4476,27902</link.rule.ids></links><search><creatorcontrib>Duca, Ștefania-Teodora</creatorcontrib><creatorcontrib>Badescu, Minerva Codruta</creatorcontrib><creatorcontrib>Costache, Alexandru-Dan</creatorcontrib><creatorcontrib>Chetran, Adriana</creatorcontrib><creatorcontrib>Miftode, Radu Ștefan</creatorcontrib><creatorcontrib>Tudorancea, Ionuț</creatorcontrib><creatorcontrib>Mitu, Ovidiu</creatorcontrib><creatorcontrib>Afrăsânie, Irina</creatorcontrib><creatorcontrib>Ciorap, Radu-George</creatorcontrib><creatorcontrib>Șerban, Ionela-Lăcrămioara</creatorcontrib><creatorcontrib>Pavăl, D. Robert</creatorcontrib><creatorcontrib>Dmour, Bianca</creatorcontrib><creatorcontrib>Cepoi, Maria-Ruxandra</creatorcontrib><creatorcontrib>Costache-Enache, Irina-Iuliana</creatorcontrib><title>Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study</title><title>Medicina</title><description>Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This study aims to explore the potential correlation between Holter ECG parameters and comorbidities in individuals with ischemic cardiomyopathy experiencing heart failure (HF), with a particular focus on the primary utility of these parameters as prognostic indicators. Materials and Methods: In this prospective inquiry, a cohort of 60 individuals diagnosed with heart failure underwent stratification into subgroups based on the presence of comorbidities, including diabetes, chronic kidney disease, obesity, or hyperuricemia. Upon admission, a thorough evaluation of all participants encompassed echocardiography, laboratory panel analysis, and 24 h Holter monitoring. Results: Significant associations were uncovered between diabetes and unconventional physiological indicators, specifically the Triangular index (p = 0.035) and deceleration capacity (p = 0.002). Pertaining to creatinine clearance, notable correlations surfaced with RMSSD (p = 0.026), PNN50 (p = 0.013), and high-frequency power (p = 0.026). An examination of uric acid levels and distinctive Holter ECG patterns unveiled statistical significance, particularly regarding the deceleration capacity (p = 0.045). Nevertheless, in the evaluation of the Body Mass Index, no statistically significant findings emerged concerning Holter ECG parameters. Conclusions: The identified statistical correlations between non-cardiac comorbidities and patterns elucidated in Holter ECG recordings underscore the heightened diagnostic utility of this investigative modality in the comprehensive evaluation of individuals grappling with HF. Furthermore, we underscore the critical importance of the thorough analysis of Holter ECG recordings, particularly with regard to subtle and emerging parameters that may be overlooked or insufficiently acknowledged.</description><subject>Chronic kidney failure</subject><subject>Comorbidity</subject><subject>Electrocardiogram</subject><subject>Electrocardiography</subject><subject>Health aspects</subject><subject>Heart diseases</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Physiological aspects</subject><subject>Uric acid</subject><issn>1648-9144</issn><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>2024</creationdate><recordtype>report</recordtype><sourceid/><recordid>eNqVTstOw0AM3ANIlMedo3-gZfPoi1sVWtILqgR3ZBKnMUrsandzyE_xjSzQH0A-jDyeGY8x94mdZdnaPvRUc8WCC2tTm-XphZkki3w1XSd5fmWuvf-0Nkvny3Rivkp0vcoILFC0qP4RnqjiU0uO5QihJdhL0w0kFYE2sPdVSz1XUKCrWftRTxjaEVBqeFGZ_tIYz9qr--CaA5MHFSi1C-RgWzzDAR32FDf_99WpxMCS0AXYIXeDo6iJRgmxzgYO3GmA1zDU4625bLDzdHfGGzPbbd-KcnrEjt5ZGg0Oqzj1T0kVajjym-UqT2w6t6vs34Zv2xJuSQ</recordid><startdate>20240201</startdate><enddate>20240201</enddate><creator>Duca, Ștefania-Teodora</creator><creator>Badescu, Minerva Codruta</creator><creator>Costache, Alexandru-Dan</creator><creator>Chetran, Adriana</creator><creator>Miftode, Radu Ștefan</creator><creator>Tudorancea, Ionuț</creator><creator>Mitu, Ovidiu</creator><creator>Afrăsânie, Irina</creator><creator>Ciorap, Radu-George</creator><creator>Șerban, Ionela-Lăcrămioara</creator><creator>Pavăl, D. Robert</creator><creator>Dmour, Bianca</creator><creator>Cepoi, Maria-Ruxandra</creator><creator>Costache-Enache, Irina-Iuliana</creator><general>MDPI AG</general><scope/></search><sort><creationdate>20240201</creationdate><title>Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study</title><author>Duca, Ștefania-Teodora ; Badescu, Minerva Codruta ; Costache, Alexandru-Dan ; Chetran, Adriana ; Miftode, Radu Ștefan ; Tudorancea, Ionuț ; Mitu, Ovidiu ; Afrăsânie, Irina ; Ciorap, Radu-George ; Șerban, Ionela-Lăcrămioara ; Pavăl, D. Robert ; Dmour, Bianca ; Cepoi, Maria-Ruxandra ; Costache-Enache, Irina-Iuliana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-gale_infotracacademiconefile_A7841025083</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Chronic kidney failure</topic><topic>Comorbidity</topic><topic>Electrocardiogram</topic><topic>Electrocardiography</topic><topic>Health aspects</topic><topic>Heart diseases</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Physiological aspects</topic><topic>Uric acid</topic><toplevel>online_resources</toplevel><creatorcontrib>Duca, Ștefania-Teodora</creatorcontrib><creatorcontrib>Badescu, Minerva Codruta</creatorcontrib><creatorcontrib>Costache, Alexandru-Dan</creatorcontrib><creatorcontrib>Chetran, Adriana</creatorcontrib><creatorcontrib>Miftode, Radu Ștefan</creatorcontrib><creatorcontrib>Tudorancea, Ionuț</creatorcontrib><creatorcontrib>Mitu, Ovidiu</creatorcontrib><creatorcontrib>Afrăsânie, Irina</creatorcontrib><creatorcontrib>Ciorap, Radu-George</creatorcontrib><creatorcontrib>Șerban, Ionela-Lăcrămioara</creatorcontrib><creatorcontrib>Pavăl, D. Robert</creatorcontrib><creatorcontrib>Dmour, Bianca</creatorcontrib><creatorcontrib>Cepoi, Maria-Ruxandra</creatorcontrib><creatorcontrib>Costache-Enache, Irina-Iuliana</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duca, Ștefania-Teodora</au><au>Badescu, Minerva Codruta</au><au>Costache, Alexandru-Dan</au><au>Chetran, Adriana</au><au>Miftode, Radu Ștefan</au><au>Tudorancea, Ionuț</au><au>Mitu, Ovidiu</au><au>Afrăsânie, Irina</au><au>Ciorap, Radu-George</au><au>Șerban, Ionela-Lăcrămioara</au><au>Pavăl, D. Robert</au><au>Dmour, Bianca</au><au>Cepoi, Maria-Ruxandra</au><au>Costache-Enache, Irina-Iuliana</au><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><atitle>Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study</atitle><jtitle>Medicina</jtitle><date>2024-02-01</date><risdate>2024</risdate><volume>60</volume><issue>2</issue><issn>1648-9144</issn><abstract>Background and Objective: In the landscape of heart failure, non-cardiac comorbidities represent a formidable challenge, imparting adverse prognostic implications. Holter ECG monitoring assumes a supplementary role in delineating myocardial susceptibility and autonomic nervous system dynamics. This study aims to explore the potential correlation between Holter ECG parameters and comorbidities in individuals with ischemic cardiomyopathy experiencing heart failure (HF), with a particular focus on the primary utility of these parameters as prognostic indicators. Materials and Methods: In this prospective inquiry, a cohort of 60 individuals diagnosed with heart failure underwent stratification into subgroups based on the presence of comorbidities, including diabetes, chronic kidney disease, obesity, or hyperuricemia. Upon admission, a thorough evaluation of all participants encompassed echocardiography, laboratory panel analysis, and 24 h Holter monitoring. Results: Significant associations were uncovered between diabetes and unconventional physiological indicators, specifically the Triangular index (p = 0.035) and deceleration capacity (p = 0.002). Pertaining to creatinine clearance, notable correlations surfaced with RMSSD (p = 0.026), PNN50 (p = 0.013), and high-frequency power (p = 0.026). An examination of uric acid levels and distinctive Holter ECG patterns unveiled statistical significance, particularly regarding the deceleration capacity (p = 0.045). Nevertheless, in the evaluation of the Body Mass Index, no statistically significant findings emerged concerning Holter ECG parameters. Conclusions: The identified statistical correlations between non-cardiac comorbidities and patterns elucidated in Holter ECG recordings underscore the heightened diagnostic utility of this investigative modality in the comprehensive evaluation of individuals grappling with HF. Furthermore, we underscore the critical importance of the thorough analysis of Holter ECG recordings, particularly with regard to subtle and emerging parameters that may be overlooked or insufficiently acknowledged.</abstract><pub>MDPI AG</pub><doi>10.3390/medicina60020342</doi></addata></record> |
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subjects | Chronic kidney failure Comorbidity Electrocardiogram Electrocardiography Health aspects Heart diseases Medical research Medicine, Experimental Physiological aspects Uric acid |
title | Harmony in Chaos: Deciphering the Influence of Ischemic Cardiomyopathy and Non-Cardiac Comorbidities on Holter ECG Parameters in Chronic Heart Failure Patients: A Pilot Study |
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