# The Predictive Value of P‐Wave Dispersion and QTc Dispersion in Preeclampsia

**Authors:** Liting Zhi, Fei Shen, Lili Mei, Jianling Jin, Shili Jiang, Xingmei Huang, Wei Zhu

PMC · DOI: 10.1111/anec.70170 · Annals of Noninvasive Electrocardiology · 2026-02-27

## TL;DR

This study shows that specific ECG measurements can help identify pregnant women at higher risk of preeclampsia, potentially improving early detection and management.

## Contribution

The study identifies P-wave dispersion and QTc dispersion as novel independent ECG risk factors for preeclampsia.

## Key findings

- PWD and QTc-d were significantly higher in preeclampsia patients compared to non-preeclampsia groups.
- A QTc-d cutoff of ≥ 43.5 ms achieved 91.8% diagnostic accuracy for preeclampsia.
- Monitoring PWD and QTc-d may help screen high-risk pregnant women with gestational hypertension.

## Abstract

There is growing evidence that pregnant women with gestational hypertension are more likely to develop cardiovascular disease in the future, including arrhythmias. The objective of this study was to analyze changes in electrocardiogram (ECG) parameters in pregnant women with gestational hypertension and identify independent risk factors for preeclampsia.

We collected the ECG data of 185 pregnant women and classified them into three groups: the first group was 68 healthy pregnant women in the third trimester, the second group was 61 pregnant women with gestational hypertension (without preeclampsia), and the third group was 56 pregnant women with preeclampsia. P‐wave amplitude, P‐wave dispersion (PWD), P‐wave area (PWA), ventricular activation time (VAT), T‐wave peak‐to‐end interval (Tp‐e interval), maximum QTc interval (QTc max), and QTc dispersion (QTc‐d) were measured.

Ordered logistic regression revealed significant differences in PWD, QTc max, Tp‐e interval, and QTc‐d values among the three groups. However, only PWD and QTc‐d values were significantly higher in the preeclampsia group than in the non‐preeclampsia group by binary logistic regression. Using a cut‐off of ≥ 35.5 ms for the PWD achieved an accuracy of 74.8% in diagnosing preeclampsia (sensitivity 92.86%, specificity 56.59%). Using a cut‐off of ≥ 43.5 ms for the QTc‐d achieved an accuracy of 91.8% (sensitivity 85.71%, specificity 84.50%).

PWD and QTc‐d were identified as independent ECG risk factors for preeclampsia. Monitoring these parameters may help screen high‐risk pregnant women and improve the management of those with a history of gestational hypertension or preeclampsia.

The diagnostic accuracy for preeclampsia was 74.8% using a PWD cutoff of ≥ 35.5 ms and 91.8% using a QTc‐d cutoff of ≥ 43.5 ms. Monitoring these ECG parameters can help identify pregnant women at increased risk.

## Linked entities

- **Diseases:** preeclampsia (MONDO:0005081), gestational hypertension (MONDO:0024664)

## Full-text entities

- **Diseases:** Pregnancy (MESH:D011254), sleep apnea syndrome (MESH:D012891), dispersion (MESH:C563184), maternal death (MESH:D063130), thyroid dysfunction (MESH:D013959), cardiovascular and peripheral artery disease (MESH:D058729), heart failure or valve disease (MESH:D006333), Gestational hypertension (MESH:D046110), cardiovascular death (MESH:D002318), myocardial infarction (MESH:D009203), thrombocytopenia (MESH:D013921), chronic renal failure (MESH:D007676), atrial fibrillation (MESH:D001281), death (MESH:D003643), Hypertension (MESH:D006973), albuminuria (MESH:D000419), symptoms (MESH:D012816), preeclamptic (MESH:C538543), chronic lung disease (MESH:D029424), stroke (MESH:D020521), VAT (MESH:C000719197), left ventricular diastolic dysfunction (MESH:D018487), obesity (MESH:D009765), arrhythmia (MESH:D001145), PE (MESH:D011225), pulmonary edema (MESH:D011654), diabetes (MESH:D003920), cerebral/visual symptoms (MESH:D014786), impaired liver or renal function (MESH:D008107), inflammatory disease (MESH:D007249), cerebral/ (MESH:D002547)
- **Chemicals:** creatinine (MESH:D003404), cholesterol (MESH:D002784), blood glucose (MESH:D001786), triglyceride (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12949089/full.md

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Source: https://tomesphere.com/paper/PMC12949089