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27.06.2023 | Original articles

Fragmented QRS as a predictor of hypertensive crisis in patients with newly diagnosed essential hypertension: 4-year follow-up data

verfasst von: Emine Altuntas, MD, Sükrü Cetın, Assist. Prof, MD

Erschienen in: Herz | Ausgabe 6/2023

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Abstract

Background

Hypertensive crisis (HC) is a life-threatening condition in patients with hypertension (HT). However, there is no electrocardiography (ECG) marker that can predict which hypertensive patient may develop HC. The fragmented QRS (fQRS) complex is an important prognostic marker in ECG that might be predict cardiovascular events and mortality. Our study aimed to investigate whether fQRS can predict the development of HC in patients with HT, within 4 years of follow-up.

Methods

Newly diagnosed patients with essential HT were recruited for the study from an outpatient clinic. The patients were divided into two groups according to the presence of HC: HC (+) and HC (−). During follow-up, the relationship between fQRS and HC was evaluated.

Results

The study group included 504 patients with newly diagnosed HT. During the follow-up period, HC occurred in 98 of the patients. In 57 (11.30%) patients, fQRS was observed on ECG; fQRS was detected in the ECG of 19 (19.38%) of the HC (+) patients (p = 0.008). The results of multivariate logistic regression analysis showed that fQRS (p < 0.001) was as independent predictor for HC development. Kaplan–Meier analysis further demonstrated that the presence of fQRS affects the development of hypertensive urgency in hypertensive patients (log-rank p < 0.001).

Conclusion

In patients with newly diagnosed HT, the presence of fQRS was found to be an independent predictor of HC.

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Titel: Fragmented QRS as a predictor of hypertensive crisis in patients with newly diagnosed essential hypertension: 4-year follow-up data
verfasst von: Emine Altuntas, MD
Sükrü Cetın, Assist. Prof, MD
Publikationsdatum: 27.06.2023
Verlag: Springer Medizin
Erschienen in: Herz / Ausgabe 6/2023
Print ISSN: 0340-9937
Elektronische ISSN: 1615-6692
DOI: https://doi.org/10.1007/s00059-023-05194-2

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Abstract

Background

Methods

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