Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes
Abstract Aims/Introduction Diastolic cardiac dysfunction in type 2 diabetes (DD2D) is a critical risk of heart failure with preserved ejection fraction. However, there is no established biomarker to detect DD2D. We aimed to investigate the predictive impact of fragmented QRS (fQRS) on electrocardiog...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-06-01
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| Series: | Journal of Diabetes Investigation |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jdi.13759 |
| _version_ | 1818240577441890304 |
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| author | Kunimasa Yagi Teruhiko Imamura Hayato Tada Jianhui Liu Yukiko Miyamoto Azusa Ohbatake Naoko Ito Masataka Shikata Asako Enkaku Akiko Takikawa Hisae Honoki Shiho Fujisaka Daisuke Chujo Hideki Origasa Koichiro Kinugawa Kazuyuki Tobe |
| author_facet | Kunimasa Yagi Teruhiko Imamura Hayato Tada Jianhui Liu Yukiko Miyamoto Azusa Ohbatake Naoko Ito Masataka Shikata Asako Enkaku Akiko Takikawa Hisae Honoki Shiho Fujisaka Daisuke Chujo Hideki Origasa Koichiro Kinugawa Kazuyuki Tobe |
| author_sort | Kunimasa Yagi |
| collection | DOAJ |
| description | Abstract Aims/Introduction Diastolic cardiac dysfunction in type 2 diabetes (DD2D) is a critical risk of heart failure with preserved ejection fraction. However, there is no established biomarker to detect DD2D. We aimed to investigate the predictive impact of fragmented QRS (fQRS) on electrocardiography on the existence of DD2D. Materials and Methods We included in‐hospital patients with type 2 diabetes without heart failure symptoms who were admitted to our institution for glycemic management between November 2017 and April 2021. An fQRS was defined as an additional R′ wave or notching/splitting of the S wave in two contiguous electrocardiography leads. DD2D was diagnosed according to the latest guidelines of the American Society of Echocardiography. Results Of 320 participants, 122 patients (38.1%) had fQRS. DD2D was diagnosed in 82 (25.6%). An fQRS was significantly associated with the existence of DD2D (odds ratio 4.37, 95% confidence interval 2.33–8.20; p < 0.0001) adjusted for seven potential confounders. The correlation between DD2D and diabetic microvascular disease was significant only among those with fQRS. Classification and regression tree analysis showed that fQRS was the most relevant optimum split for DD2D. Conclusions An fQRS might be a simple and promising predictor of the existence of DD2D. The findings should be validated in a larger‐scale cohort. |
| first_indexed | 2024-12-12T13:15:39Z |
| format | Article |
| id | doaj.art-6d8b372ab1a14724bd72e9b91811c6a3 |
| institution | Directory Open Access Journal |
| issn | 2040-1116 2040-1124 |
| language | English |
| last_indexed | 2024-12-12T13:15:39Z |
| publishDate | 2022-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Investigation |
| spelling | doaj.art-6d8b372ab1a14724bd72e9b91811c6a32022-12-22T00:23:25ZengWileyJournal of Diabetes Investigation2040-11162040-11242022-06-011361052106110.1111/jdi.13759Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetesKunimasa Yagi0Teruhiko Imamura1Hayato Tada2Jianhui Liu3Yukiko Miyamoto4Azusa Ohbatake5Naoko Ito6Masataka Shikata7Asako Enkaku8Akiko Takikawa9Hisae Honoki10Shiho Fujisaka11Daisuke Chujo12Hideki Origasa13Koichiro Kinugawa14Kazuyuki Tobe151st Department of Internal Medicine University of Toyama Toyama Japan2nd Department of Internal Medicine University of Toyama Toyama Japan2nd Department of Internal Medicine Kanazawa University Graduate School of Medical Science Kanazawa Japan1st Department of Internal Medicine University of Toyama Toyama Japan2nd Department of Internal Medicine Kanazawa University Graduate School of Medical Science Kanazawa Japan2nd Department of Internal Medicine Kanazawa University Graduate School of Medical Science Kanazawa Japan2nd Department of Internal Medicine Kanazawa University Graduate School of Medical Science Kanazawa Japan1st Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama JapanBiostatistics and Clinical Epidemiology Graduate School of Medicine and Pharmaceutical Sciences University of Toyama Toyama Japan2nd Department of Internal Medicine University of Toyama Toyama Japan1st Department of Internal Medicine University of Toyama Toyama JapanAbstract Aims/Introduction Diastolic cardiac dysfunction in type 2 diabetes (DD2D) is a critical risk of heart failure with preserved ejection fraction. However, there is no established biomarker to detect DD2D. We aimed to investigate the predictive impact of fragmented QRS (fQRS) on electrocardiography on the existence of DD2D. Materials and Methods We included in‐hospital patients with type 2 diabetes without heart failure symptoms who were admitted to our institution for glycemic management between November 2017 and April 2021. An fQRS was defined as an additional R′ wave or notching/splitting of the S wave in two contiguous electrocardiography leads. DD2D was diagnosed according to the latest guidelines of the American Society of Echocardiography. Results Of 320 participants, 122 patients (38.1%) had fQRS. DD2D was diagnosed in 82 (25.6%). An fQRS was significantly associated with the existence of DD2D (odds ratio 4.37, 95% confidence interval 2.33–8.20; p < 0.0001) adjusted for seven potential confounders. The correlation between DD2D and diabetic microvascular disease was significant only among those with fQRS. Classification and regression tree analysis showed that fQRS was the most relevant optimum split for DD2D. Conclusions An fQRS might be a simple and promising predictor of the existence of DD2D. The findings should be validated in a larger‐scale cohort.https://doi.org/10.1111/jdi.13759Diabetic microvascular diseasesDiastolic cardiac dysfunctionFragmented QRS |
| spellingShingle | Kunimasa Yagi Teruhiko Imamura Hayato Tada Jianhui Liu Yukiko Miyamoto Azusa Ohbatake Naoko Ito Masataka Shikata Asako Enkaku Akiko Takikawa Hisae Honoki Shiho Fujisaka Daisuke Chujo Hideki Origasa Koichiro Kinugawa Kazuyuki Tobe Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes Journal of Diabetes Investigation Diabetic microvascular diseases Diastolic cardiac dysfunction Fragmented QRS |
| title | Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| title_full | Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| title_fullStr | Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| title_full_unstemmed | Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| title_short | Fragmented QRS on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| title_sort | fragmented qrs on electrocardiography as a predictor for diastolic cardiac dysfunction in type 2 diabetes |
| topic | Diabetic microvascular diseases Diastolic cardiac dysfunction Fragmented QRS |
| url | https://doi.org/10.1111/jdi.13759 |
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