Abstract
Background
There is ongoing controversy regarding the prognostic value of PR prolongation among individuals free of cardiovascular diseases. It is necessary to risk‐stratify this population according to other electrocardiographic parameters.
Methods
This study is based on the Third National Health and Nutrition Examination Survey. Cox proportional hazard models were constructed and Kaplan–Meier method was used.
Results
A total of 6188 participants (58.1 ± 13.1 years; 55% women) were included. The median frontal QRS axis of the entire study population was 37° (IQR: 11–60°). PR prolongation was present in 7.6% of the participants, of whom 61.2% had QRS axis ≤37°. In a multivariable‐adjusted model, mortality risk was highest in the group with concomitant prolonged PR interval and QRS axis ≤37° (hazard ratio [HR]: 1.20; 95% confidence interval [CI]: 1.04–1.39). In models with similar adjustment where population were reclassified depending on PR prolongation and QRS axis, prolonged PR interval and QRS axis ≤37° was still associated with increased risk of mortality (HR: 1.18; 95% CI: 1.03–1.36) compared with normal PR interval.
Conclusions
QRS axis is an important factor for risk stratification in population with PR prolongation. The extent to which this population with PR prolongation and QRS axis ≤37° is at higher risk of death compared with the population without PR prolongation.
Keywords: electrocardiogram indicators, PR interval, QRS axis, risk stratification
The QRS axis is an important risk stratification factor for prolongation of the PR interval in people without cardiovascular disease. Evaluation of the QRS axis is particularly necessary in patients whose electrocardiogram suggests prolongation of the PR interval.
1. INTRODUCTION
The PR interval measured from the surface electrocardiogram (ECG) is considered an indicator reflecting atrial and atrioventricular node myocyte depolarization and conduction (Schwartzman, 2004). PR prolongation, usually defined as PR interval >200 ms, is a relatively common electrocardiographic finding with the prevalence of 2%–6% in the general population (Aro et al., 2014; Cheng et al., 2013; Kwok et al., 2016). However, the prognosis value of PR prolongation is controversial due to many factors can influence the PR interval (Holmqvist & Daubert, 2013). Previous studies have demonstrated that PR prolongation is associated with the occurrence of atrial fibrillation and left ventricle (LV) dysfunction (Cheng et al., 2015; Smith et al., 2017; Uhm et al., 2014). The prolonged PR interval is also related to an increased risk of death in patients with cardiovascular disease (CVD) including heart failure (HF), coronary artery disease, and hypertrophic cardiomyopathy (HCM) (Crisel et al., 2011; Friedman et al., 2016; Higuchi et al., 2020). But in the general population, especially those without CVD, the association between PR interval and adverse outcomes is not significant, so abnormal PR interval has not received widespread attention in clinical work (Aro et al., 2014; Magnani et al., 2013; Vad et al., 2021).
The P‐wave duration is a crucial component of the PR interval, and the link between P‐wave duration prolongation and adverse outcomes, including increased risk of atrial arrhythmias and mortality, is well established (Magnani et al., 2011). Previous studies using data from the Third National Health and Nutrition Examination Survey (NHANES III) have found that the prognostic significance associated with PR prolongation depends largely on the duration of P wave (Soliman et al., 2014), but information related to P waves has rarely been reported in studies of PR interval prolongation. Admittedly, hemodynamic abnormalities have indeed been found in people with prolonged PR time, resulting in impaired effective left ventricular diastolic filling time (Schnittger et al., 1988). Another important hemodynamic effect of prolonged PR is diastolic mitral regurgitation (MR). Increased MR, decreased left ventricular compliance, and impaired relaxation are inseparable (Ishikawa et al., 1992; Zile et al., 1991, 1993).
Based on the previous results, we proposed that LV diastolic function may be a significant factor in determining risk stratification in people with prolonged PR interval. The QRS axis is an important ECG parameter that reflects the diastolic function of the LV (Kurisu et al., 2018), and the QRS loop reflects the depolarization process of the ventricle. The spatial QRS‐T angle has been utilized for stratify heart disease risk, while the frontal and spatial QRS‐T angle have been used to predict future cardiac events (including sudden death, all‐cause mortality, and further heart disease morbidity) (Aro et al., 2012; Kors et al., 2003; Pavri et al., 2008). However, there is a lack of research on risk stratification using the QRS axis in patients with long PR intervals. Therefore, we designed this study to identify those with poor prognosis for PR interval prolongation in people without CVD by using QRS axis.
2. METHODS
NHANES III is a program of studies conducted by the National Center for Health Statistics (NCHS) designed to assess the prevalence of disease, disease risk factors, and nutritional status of civilian non‐institutionalized US population. Linked mortality information through April 26, 2022, was provided by the NCHS of the Centers for Disease Control and Prevention (CDC). The NCHS of CDC conducts statistical and epidemiological activities under the authority granted by the Public Health Service Act. NCHS survey data are protected by Federal confidentiality laws. Data collection was reviewed and approved by the National Center for Health Statistics Research Ethics Review Board and signed informed consent forms were obtained from study participants. All data in this study are publicly available at https://www.cdc.gov/nchs/nhanes/index.htm.
2.1. Study population
In NHANES III, 6990 participants (aged 40–90 years) with normal sinus rhythm and no evidence of bundle‐branch block or intraventricular conduction delay (QRS ≥120 ms) were recruited. Exclusion criteria included: (1) Participants with CVD, including HF (N = 306), myocardial infarction (N = 262), and stroke (N = 185). (2) Electrocardiographic data were unreliable (N = 41) and follow‐up data were missing (N = 8). A total of 6188 participants were included in the study. Eligible subjects were divided into four groups based on different combinations of the PR interval and QRS axis (Figure 1).
FIGURE 1.
The flow chart of study case selection.
2.2. Electrocardiography
During participant examinations, standard 12‐lead ECGs were recorded by trained technicians on the Marquette MAC 12 system (Marquette Medical Systems, Inc.). Computerized analysis of the ECG data was performed using Minnesota and Nova codes. PR prolongation on the ECG is defined as PR interval >200 ms. The population was divided into two groups according to the presence or absence of PR prolongation, and then the two groups were subdivided according to the median of the QRS axis (QRS axis median = 37°) in the total population. That is, the population was divided into normal PR interval with QRS axis >37°, normal PR interval with QRS axis ≤37°, prolonged PR interval with QRS axis >37°, and prolonged PR interval with QRS axis ≤37°. Other parameters included in the analysis included P‐wave duration, heart rate, P‐wave frontal axis, P‐wave terminal force in V1, QT interval, and QRS duration. The QT interval was corrected by Bazette's formula.
2.3. Other variables
Data on age, sex, race, and household income were obtained in household interviews. Ethnicities were classified as white and others. Income was divided into <$20 K/year and ≥$20 K/year. Smoking status was obtained through the corresponding questionnaires and analyzed as a 2‐level categorical variable (current and other). Body mass index (BMI) was defined as body weight (kg) divided by height (m) squared. The history of some diseases, such as cancer and diabetes mellitus (DM), was self‐reported. Family history of CVD and use of antihypertensive as well as atrioventricular nodal drugs, including β‐blockers or dihydropyridine calcium blockers, were also obtained through self‐reporting. Blood pressure was the average of six measurements (three in‐home measurements and three mobile center measurements). Serum total cholesterol and high‐density lipoprotein cholesterol (HDL‐c) levels were determined enzymatically.
2.4. Statistical analysis
Continuous variables were expressed as mean ± standard deviation or median values [first quartile, third quartile], and categorical variables were expressed as proportions. For between‐group comparisons, the ANOVA test and the Kruskal–Wallis test were used for continuous variables, while the χ 2 test was used for comparison of categorical variables. We then performed the Kaplan–Meier (KM) method and log‐rank tests to determine survival differences between the four groups. The Cox proportional hazards model was applied to calculate the hazard ratio (HR) and 95% confidence interval (CI) for each group in the cohort. In the adjusted full model, we regrouped the study population by combining all individuals with normal PR intervals and calculating the median HR for each group. We performed three sensitivity analyses to assess the robustness of the findings. Subgroup analyses were also performed in clinically relevant subgroups and interactions were tested. Missing data for covariates were interpreted using multiple imputation methods. All data analysis was performed using R statistical software (version 4.2.1).
3. RESULTS
Among the 6188 participants in NHANES III (mean age 58.1 ± 13.1 years; 55.0% female), 4463 (72.1%) were white. PR prolongation occurred in 7.6% (N = 472) of participants, of which 61.2% had QRS axis ≤37°. Table 1 showed subject characteristics stratified by PR extension and QRS axis. Participants with prolonged PR and QRS axis ≤37° were more likely than other groups, especially the normal PR interval, to be older, male, low‐income, with prolonged P‐wave duration, and taking antihypertensive drugs and AV nodal drugs.
TABLE 1.
Baseline characteristics of the study population.
Characteristics | Normal PR interval (N = 5716) | Prolonged PR interval (N = 472) | p‐Value | ||
---|---|---|---|---|---|
QRS axis >37° | QRS axis ≤37° | QRS axis >37° | QRS axis ≤37° | ||
(N = 2891) | (N = 2825) | (N = 183) | (N = 289) | ||
Age, years | 55.1 ± 12.2 | 60.0 ± 13.1 | 60.1 ± 13.1 | 67.8 ± 13.3 | <.001 |
Female sex, % | 1672 (57.8) | 1534 (54.3) | 79 (43.2) | 119 (41.2) | <.001 |
White, % | 2104 (72.8) | 2046 (72.4) | 113 (61.7) | 201 (69.6) | .009 |
Total annual income <$20 K, % | 1181 (41.5) | 1345 (48.5) | 74 (40.9) | 139 (49.6) | <.001 |
Current smoke, % | 797 (27.6) | 511 (18.1) | 55 (30.1) | 40 (13.8) | <.001 |
Body mass index, kg/m2 | 26.6 ± 5.4 | 28.5 ± 5.4 | 27.1 ± 5.7 | 29.1 ± 5.8 | <.001 |
Diabetes mellitus, % | 214 (7.4) | 353 (12.5) | 16 (8.7) | 35 (12.1) | <.001 |
History of CVD, % | 384 (13.5) | 297 (10.7) | 21 (11.6) | 28 (10.0) | .007 |
Antihypertensive medications use, % | 539 (18.8) | 888 (31.5) | 67 (36.6) | 131 (45.6) | <.001 |
Cancer, % | 247 (8.5) | 283 (10.0) | 18 (9.8) | 53 (18.3) | <.001 |
AV nodal drug use a , % | 134 (4.6) | 186 (6.6) | 21 (11.5) | 36 (12.5) | <.001 |
HDL‐c, mg/dL | 52.7 ± 16.5 | 50.6 ± 16.2 | 51.7 ± 17.9 | 49.9 ± 16.1 | <.001 |
Diastolic blood pressure, mmHg | 76.8 ± 11.7 | 79.0 ± 12.2 | 77.1 ± 13.8 | 76.3 ± 12.7 | <.001 |
Systolic blood pressure, mmHg | 129.2 ± 19.9 | 136.2 ± 20.2 | 132.8 ± 20.1 | 138.4 ± 21.9 | <.001 |
Corrected QT interval, ms | 428.7 ± 22.7 | 432.2 ± 23.6 | 423.6 ± 25.0 | 425.7 ± 25.5 | <.001 |
Heart rate, bpm | 68.9 ± 11.2 | 68.7 ± 11.5 | 65.0 ± 10.0 | 63.9 ± 11.4 | <.001 |
PR interval, ms | 156.4 ± 21.6 | 159.7 ± 20.3 | 215.3 ± 14.3 | 220.0 ± 20.6 | <.001 |
QRS duration, ms | 94.6 ± 9.8 | 95.7 ± 9.7 | 95.5 ± 10.9 | 96.1 ± 10.6 | <.001 |
P‐wave duration, ms | 108.6 ± 12.8 | 111.7 ± 13.5 | 123.7 ± 14.4 | 127.9 ± 15.9 | <.001 |
Negative P‐wave V1, uV | −33.0 [−51.0, −18.0] | −39.0 [−55.0, −24.0] | −41.0 [−60.0, −27.0] | −48.0 [−64.0, −33.0] | <.001 |
P‐wave axis, ° | 67.0 [53.0, 77.0] | 59.0 [44.0, 70.0] | 66.0 [48.5, 77.0] | 55.0 [41.0, 68.0] | <.001 |
QRS axis, ° | 60.0 [49.0, 73.0] | 12.0 [−6.0, 25.0] | 60.0 [49.5, 72.0] | 5.0 [−11.0, 22.0] | <.001 |
Note: Values are expressed as mean ± SD, N (%), or median values [first quartile, third quartile].
Abbreviations: CVD: cardiovascular disease; HDL‐c, high‐density lipoprotein cholesterol.
AV nodal drug use: β‐blocker or dihydropyridine calcium blocker.
A total of 3541 deaths occurred during the median follow‐up of 298 months (IQR: 16–69 months). Mortality was highest in participants with prolonged PR interval and QRS axis ≤37° (5.23/100 person‐years), while mortality was lowest in those with normal PR interval and QRS axis >37° (2.29/100 person‐years). Mortality was lower on the QRS axis >37° on PR prolongation than on the QRS axis ≤37° without extension (2.82 vs. 3.11 per 100 person‐years). Figure 2 showed the K‐M survival curves for the four groups, all with statistically significant differences between groups.
FIGURE 2.
Kaplan–Meier survival curves. Group 1: Normal PR interval and QRS axis >37°. Group 2: Normal PR interval and QRS axis ≤37°. Group 3: Prolonged PR interval and QRS axis >37°. Group 4: Prolonged PR interval and QRS axis ≤37°.
First, we included PR interval prolongation and QRS axis ≤37° as two separate variables into the same model. In the unadjusted model, both were associated with an increased risk of all‐cause mortality (PR prolonged: [HR: 1.59; 95% CI: 1.43–1.78]; QRS axis ≤37°: [HR: 1.45; 95% CI: 1.35–1.55]). However, in the fully adjusted model (adjusted for age, sex, race, income, smoking status, BMI, diabetes, family history of CVD, antihypertensive drug use, AV node drug use, cancer, HDL cholesterol, heart rate, diastolic blood pressure, systolic blood pressure, QRS duration, P‐wave duration, corrected QT interval, and negative P‐wave V1), we found a weakened association between the two and death (PR prolongation: [HR: 1.03; 95% CI: 0.92–1.15]; QRS axis ≤37°: [HR: 1.01; 95% CI: 0.94–1.15]).
Then, we combined the PR interval and QRS axis into four groups (normal PR interval and QRS axis >37°, normal PR interval and QRS axis ≤37° [reference group], PR interval prolongation and QRS axis >37°, PR interval prolongation and QRS axis ≤37°), incorporating them into the Cox proportional hazard model for analysis (Table 2). We found that prolonged PR interval and QRS axis ≤37° group was associated with a 1.8‐fold increased risk of death in unadjusted models compared with normal PR interval and QRS axis ≤37° group. After adjusting for all risk factors and potential confounders, the risk of death remained highest with prolonged PR interval and QRS axis ≤37° group (HR: 1.20; 95% CI: 1.04–1.39). The risk of death was lowest when the PR interval was prolonged and the QRS axis >37° (HR: 0.80; 95% CI: 0.65–0.98). The results were shown in Figure 3.
TABLE 2.
Hazard ratios (HRs) and 95% confidence intervals (CIs) for all‐cause mortality by PR interval and QRS axis.
PR interval | QRS axis | HR (95% CI) | ||
---|---|---|---|---|
Model 1 a | Model 2 b | Model 3 c | ||
Normal | >37° | 0.71 (0.67–0.77) | 1.03 (0.96–1.11) | 1.05 (0.97–1.13) |
Normal | ≤37° | 1 (Ref.) | 1 (Ref.) | 1 (Ref.) |
Prolonged | >37° | 0.89 (0.73–1.09) | 0.79 (0.65–0.97) | 0.80 (0.65–0.98) |
Prolonged | ≤37° | 1.82 (1.59–2.08) | 1.21 (1.05–1.39) | 1.20 (1.04–1.39) |
Model 1: unadjusted.
Model 2: adjusted for age, sex, race, income, smoke status, and body mass index (BMI).
Model 3: adjustment for age, sex, race, income, smoke status, BMI, diabetes mellitus, family history of cardiovascular disease, antihypertensive medications use, AV nodal drug use, cancer, high‐density lipoprote cholesterol, heart rate, diastolic blood pressure, systolic blood pressure, QRS duration, P‐wave duration, corrected QT interval, and Negative P‐wave V1.
FIGURE 3.
Pairwise comparisons of hazard ratios for all‐cause mortality between the four groups in Model 3. *p < 0.05; **p < 0.01; ***p < 0.001. Model 3: Adjustment for age, sex, race, income, smoke status, body mass index, diabetes mellitus, family history of cardiovascular disease, antihypertensive medications use, AV nodal drug use, cancer, high‐density lipoprote cholesterol, heart rate, diastolic blood pressure, systolic blood pressure, QRS duration, P‐wave duration, corrected QT interval, and Negative P‐wave V1.
Finally, we replaced the 4‐level variables with 3‐level variables (normal PR interval [reference group], PR interval prolongation and QRS axis >37°, PR interval prolongation and QRS axis ≤37°) into the Cox proportional hazard model. Sensitivity analysis and subgroup analysis were performed (Table 3). We found that prolonged PR interval and QRS axis ≤37° group was associated with an increased risk of death compared with the normal PR interval (HR: 1.18; 95% CI: 1.03–1.36). In the sensitivity analysis, the results were similar to our main analysis. In subgroup analyses, age, sex, race, DM, and antihypertensive drug use were stratified to examine the association between different combinations of PR interval and QRS axis and mortality. Similar directions were observed in each subgroup, and there was no significant interaction between the components of each subgroup.
TABLE 3.
Hazard ratios and 95% confidence intervals for all‐cause mortality by QRS axis.
Population | Normal PR interval | Prolonged PR interval | p for interaction | |
---|---|---|---|---|
QRS axis >37° | QRS axis ≤37° | |||
Total | 1 (Ref.) | 0.78 (0.64–0.95) | 1.18 (1.03–1.36) | |
Sensitivity analysis | ||||
P/PR ratio <0.7 | 1 (Ref.) | 0.77 (0.62–0.95) | 1.18 (1.00–1.38) | |
Exclude events within the 1st year | 1 (Ref.) | 0.77 (0.63–0.95) | 1.18 (1.02–1.36) | |
Exclude patients taking AV node drugs | 1 (Ref.) | 0.79 (0.63–0.97) | 1.23 (1.05–1.43) | |
Subgroup analysis | ||||
Sex | .434 | |||
Men | 1 (Ref.) | 0.81 (0.62–1.04) | 1.22 (1.01–1.47) | |
Women | 1 (Ref.) | 0.72 (0.52–1.00) | 1.09 (0.87–1.36) | |
Race | .156 | |||
Whites | 1 (Ref.) | 0.85 (0.67–1.08) | 1.22 (1.04–1.45) | |
Others | 1 (Ref.) | 0.66 (0.46–0.94) | 1.11 (0.84–1.46) | |
Age | .489 | |||
<50 | 1 (Ref.) | 0.87 (0.46–1.65) | 1.23 (0.62–1.65) | |
≥50 | 1 (Ref.) | 0.78 (0.63–0.96) | 1.17 (1.01–1.35) | |
Diabetes mellitus | .406 | |||
Yes | 1 (Ref.) | 0.93 (0.52–1.66) | 1.21 (0.81–1.79) | |
No | 1 (Ref.) | 0.75 (0.61–0.93) | 1.20 (1.03–1.40) | |
Antihypertensive medications use | .189 | |||
Yes | 1 (Ref.) | 0.83 (0.62–1.12) | 1.09 (0.89–1.35) | |
No | 1 (Ref.) | 0.74 (0.56–0.97) | 1.31 (1.08–1.60) |
4. DISCUSSION
Based on our research, we propose that QRS axis is an important factor in risk stratification in populations with prolonged PR interval. People with prolonged PR interval and QRS axis ≤37° have a higher risk of death than those without prolongation of the PR interval. These associations were not related to P‐wave duration and other known risk factors.
Our results are similar to previous studies in which prolongation of the PR interval is not an independent risk factor for poor prognosis in people without CVD (Aro et al., 2014; Magnani et al., 2013). Studies of the PR interval in the general population have found that prolonged PR is associated with an increased risk of AF and HF compared with the normal PR interval (Cheng et al., 2015; Nielsen et al., 2013; Uhm et al., 2014). Previous studies had observed diastolic MR in patients with prolonged PR interval (Salden et al., 2018). However, in patients with a normal PR interval, hemodynamic changes due to this regurgitation may be attenuated, resulting in decreased left atrial pressure and increased left ventricular preload (Nishimura et al., 1995). Therefore, it is necessary to stratify risks according to this change.
Previous studies have pointed out that prolongation of the PR interval is an important risk factor for early death in some special populations. In a study of patients with HCM, PR interval ≥200 ms was associated with HCM‐related death, including a composite endpoint of sudden death or fatal arrhythmia (Higuchi et al., 2020). In subanalysis of two trials of cardiac resynchronization therapy (CRT) in patients with HF, individuals with prolonged PR intervals had a higher risk of all‐cause mortality than individuals with normal PR intervals (Lin et al., 2017; Olshansky et al., 2012). Diastolic dysfunction (DD) is a prominent clinical feature in patients with HCM or HF (Badano et al., 2004; Zile & Brutsaert, 2002), and the superposition of prolonged PR and DD may produce greater damage (Wan et al., 2014). One possible mechanism is DD‐associated mechanical left ventricular desynchronization, further exacerbating atrioventricular coupling abnormalities (Kuznetsova et al., 2013). Several studies investigating the value of the clinical benefit of restoring AV coupling in patients with prolonged PR interval confirmed that CRT reduces the risk of all‐cause mortality in patients with HF, but this benefit is limited to individuals with prolonged PR (Kutyifa et al., 2014; Stockburger et al., 2016). Our study complements the mechanism of the interaction between left ventricular function and the PR interval described above.
The QRS axis as a parameter obtained directly from ECG reports may be a surrogate marker of left ventricular diastolic blood pressure (Kurisu et al., 2018). However, we found that the association between PR interval prolongation and QRS axis and death was not significant when considered separately, which may indicate that neither can be used alone as a criterion for assessing prognosis in people without CVD. Previous studies had also suggested that considering both the abnormal QRS axis and the prolonged PR interval may help further identify abnormal left ventricular function (Aron & Hertzeanu, 1988). In this study, we detected a statistically significant interaction between the two. As the QRS axis shifts to the left, the risk of all‐cause mortality continues to increase in people with prolonged PR interval. Therefore, we believe that the QRS axis can be an important factor in risk stratification in populations with prolonged PR interval and compare the difference in prognosis between populations stratified by their combination. This result is also in line with our hypothesis that when people combine QRS axis shift left and PR interval prolongation at the same time, the prognosis is worse.
P‐wave duration has been noted as a more sensitive marker for assessing cardiovascular risk compared with PR segments (Soliman et al., 2014), as prolonged P‐wave duration reflects structural and electrophysiological abnormalities in the atrium (Chen et al., 2022). In sensitivity analysis, the combination of prolonged PR interval and QRS ≤37° increased the risk of adverse outcomes, even in populations with low P/PR ratios. In addition, MR associated with prolongation of the PR interval can also induce chronic traction and conduction abnormalities in the atrium and lead to prolonged P‐wave time limits (John et al., 2010; Schiros et al., 2015). Due to the lack of relevant studies, it is impossible to establish their causality. Our study provides new clues that the QRS axis may be another factor in risk stratification in patients with prolonged PR interval beyond the duration of P waves. The ultimate goal of this study is to assess risk assessment of people with prolonged PR intervals by ECG alterations. For high‐risk patients, close follow‐up and aggressive early intervention may be required.
5. CONCLUSION
The QRS axis is an important risk stratification factor for prolongation of the PR interval in people without CVD. People with prolonged PR and QRS axis ≤37° have a higher risk of death compared with those without PR prolongation. Evaluation of the QRS axis is particularly necessary in patients whose ECG suggests prolongation of the PR interval.
6. AUTHOR CONTRIBUTIONS
Cao, Wang, and Shi were involved in concept and design. Cao, Wang, and Yu were involved in acquisition, analysis, or interpretation of data and statistical analysis Cao, Wang, and Fang were involved in drafting of the manuscript. All authors were involved in the critical revision of the manuscript for important intellectual content.
CONFLICT OF INTEREST STATEMENT
All authors have no conflict of interest with this article.
7. ETHICS STATEMENT
Data collection was rigorously reviewed and approved by the NCHS Research Ethics Review Committee to ensure strict adherence to ethical standards. Prior to the commencement of data collection, all study participants provided informed consent by signing a consent form, demonstrating their voluntary participation. The study meticulously adhered to all pertinent laws and regulations governing the protection of human subjects, guaranteeing the utmost respect for their rights and welfare.
ACKNOWLEDGMENTS
Grant of Jiangsu Commission of Health (Grant No. LKM2022060), Grant of Nantong Commission of Health (Grant No. MA2021013), Science Foundation of Nantong City (Grant No. JC2021139), and Research innovation team project from Kangda college of Nanjing Medical School (Grant No. KD2022KYCXTD009).
Cao, X. , Wang, Z. , Fang, Z. , Yu, C. , & Shi, L. (2023). Value of frontal QRS axis for risk stratification of individuals with prolonged PR interval. Annals of Noninvasive Electrocardiology, 28, e13066. 10.1111/anec.13066
Xiaodi Cao and Zhe Wang contributed equally to this work.
DATA AVAILABILITY STATEMENT
Our data are obtained from the publicly available database NHANES. All data are publicly available at https://www.cdc.gov/nchs/nhanes/index.htm.
REFERENCES
- Aro, A. L. , Anttonen, O. , Kerola, T. , Junttila, M. J. , Tikkanen, J. T. , Rissanen, H. A. , Reunanen, A. , & Huikuri, H. V. (2014). Prognostic significance of prolonged PR interval in the general population. European Heart Journal, 35, 123–129. [DOI] [PubMed] [Google Scholar]
- Aro, A. L. , Huikuri, H. V. , Tikkanen, J. T. , Junttila, M. J. , Rissanen, H. A. , Reunanen, A. , & Anttonen, O. (2012). QRS‐T angle as a predictor of sudden cardiac death in a middle‐aged general population. Europace, 14, 872–876. [DOI] [PubMed] [Google Scholar]
- Aron, L. , & Hertzeanu, H. (1988). Prolonged PR interval associated with an abnormal frontal plane QRS axis as an electrocardiographic criterion of left ventricular function. International Journal of Cardiology, 19, 327–334. [DOI] [PubMed] [Google Scholar]
- Badano, L. P. , Albanese, M. C. , De Biaggio, P. , Rozbowsky, P. , Miani, D. , Fresco, C. , & Fioretti, P. M. (2004). Prevalence, clinical characteristics, quality of life, and prognosis of patients with congestive heart failure and isolated left ventricular diastolic dysfunction. Journal of the American Society of Echocardiography, 17, 253–261. [DOI] [PubMed] [Google Scholar]
- Chen, L. Y. , Ribeiro, A. L. P. , Platonov, P. G. , Cygankiewicz, I. , Soliman, E. Z. , Gorenek, B. , Ikeda, T. , Vassilikos, V. P. , Steinberg, J. S. , Varma, N. , Bayés‐de‐Luna, A. , & Baranchuk, A. (2022). P wave parameters and indices: A critical appraisal of clinical utility, challenges, and future research—A consensus document endorsed by the International Society of Electrocardiology and the International Society for Holter and Noninvasive Electrocardio. Circulation. Arrhythmia and Electrophysiology, 15, E010435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheng, M. , Lu, X. , Huang, J. , Zhang, S. , & Gu, D. (2015). Electrocardiographic PR prolongation and atrial fibrillation risk: A meta‐analysis of prospective cohort studies. Journal of Cardiovascular Electrophysiology, 26, 36–41. [DOI] [PubMed] [Google Scholar]
- Cheng, S. , Keyes, M. J. , Larson, M. G. , McCabe, E. L. , Newton‐Cheh, C. , Levy, D. , Benjamin, E. J. , Vasan, R. S. , & Wang, T. J. (2013). Long‐term outcomes in individuals with prolonged PR interval or first‐degree atrioventricular block. JAMA, 301, 2571–2577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crisel, R. K. , Farzaneh‐Far, R. , Na, B. , & Whooley, M. A. (2011). First‐degree atrioventricular block is associated with heart failure and death in persons with stable coronary artery disease: Data from the Heart and Soul Study. European Heart Journal, 32, 1875–1880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Friedman, D. J. , Bao, H. , Spatz, E. S. , Curtis, J. P. , Daubert, J. P. , & Al‐Khatib, S. M. (2016). Association between a prolonged PR interval and outcomes of cardiac resynchronization therapy: A report from the national cardiovascular data registry. Circulation, 134, 1617–1628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Higuchi, S. , Minami, Y. , Shoda, M. , Shirotani, S. , Saito, C. , Haruki, S. , Gotou, M. , Yagishita, D. , Ejima, K. , & Hagiwara, N. (2020). Prognostic implication of first‐degree atrioventricular block in patients with hypertrophic cardiomyopathy. Journal of the American Heart Association, 9, 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holmqvist, F. , & Daubert, J. P. (2013). First‐degree AV block – An entirely benign finding or a potentially curable cause of cardiac disease? Annals of Noninvasive Electrocardiology, 18, 215–224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ishikawa, T. , Kimura, K. , Miyazaki, N. , Tochikubo, O. , Usui, T. , Kashiwagi, M. , & Ishii, M. (1992). Diastolic mitral regurgitation in patients with first‐degree atrioventricular block. Pacing and Clinical Electrophysiology, 15, 1927–1931. [DOI] [PubMed] [Google Scholar]
- John, B. , Stiles, M. K. , Kuklik, P. , Brooks, A. G. , Chandy, S. T. , Kalman, J. M. , & Sanders, P. (2010). Reverse remodeling of the atria after treatment of chronic stretch in humans: Implications for the atrial fibrillation substrate. Journal of the American College of Cardiology, 55, 1217–1226. [DOI] [PubMed] [Google Scholar]
- Kors, J. A. , Kardys, I. , van der Meer, I. M. , van Herpen, G. , Hofman, A. , Kuip, D. A. M. , & Witteman, J. C. M. (2003). Spatial QRS‐T angle as a risk indicator of cardiac death in an elderly population. Journal of Electrocardiology, 36, 113–114. [DOI] [PubMed] [Google Scholar]
- Kurisu, S. , Nitta, K. , Sumimoto, Y. , Ikenaga, H. , Ishibashi, K. , Fukuda, Y. , & Kihara, Y. (2018). Implications of electrocardiographic frontal QRS axis on left ventricular diastolic parameters derived from electrocardiogram‐gated myocardial perfusion single photon emission computed tomography. Annals of Nuclear Medicine, 32, 404–409. [DOI] [PubMed] [Google Scholar]
- Kutyifa, V. , Stockburger, M. , Daubert, J. P. , Holmqvist, F. , Olshansky, B. , Schuger, C. , Klein, H. , Goldenberg, I. , Brenyo, A. , McNitt, S. , Merkely, B. , Zareba, W. , & Moss, A. J. (2014). PR interval identifies clinical response in patients with non‐left bundle branch block a multicenter automatic defibrillator implantation trial‐cardiac resynchronization therapy substudy. Circulation. Arrhythmia and Electrophysiology, 7, 645–651. [DOI] [PubMed] [Google Scholar]
- Kuznetsova, T. , Bogaert, P. , Kloch‐Badelek, M. , Thijs, D. , Thijs, L. , & Staessen, J. A. (2013). Association of left ventricular diastolic function with systolic dyssynchrony: A population study. European Heart Journal Cardiovascular Imaging, 14, 471–479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kwok, C. S. , Rashid, M. , Beynon, R. , Barker, D. , Patwala, A. , Morley‐Davies, A. , Satchithananda, D. , Nolan, J. , Myint, P. K. , Buchan, I. , Loke, Y. K. , & Mamas, M. A. (2016). Prolonged PR interval, first‐degree heart block and adverse cardiovascular outcomes: A systematic review and meta‐analysis. Heart (British Cardiac Society), 102, 672–680. [DOI] [PubMed] [Google Scholar]
- Lin, J. , Buhr, K. A. , & Kipp, R. (2017). Effect of PR interval on outcomes following cardiac resynchronization therapy: A secondary analysis of the COMPANION trial. Journal of Cardiovascular Electrophysiology, 28, 185–191. [DOI] [PubMed] [Google Scholar]
- Magnani, J. W. , Gorodeski, E. Z. , Johnson, V. M. , Sullivan, L. M. , Hamburg, N. M. , Benjamin, E. J. , & Ellinor, P. T. (2011). P wave duration is associated with cardiovascular and all‐cause mortality outcomes: The National Health and Nutrition Examination Survey. Heart Rhythm, 8, 93–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Magnani, J. W. , Wang, N. , Nelson, K. P. , Connelly, S. , Deo, R. , Rodondi, N. , Schelbert, E. B. , Garcia, M. E. , Phillips, C. L. , Shlipak, M. G. , Harris, T. B. , Ellinor, P. T. , Benjamin, E. J. , & Health, Aging, and Body Composition Study . (2013). Electrocardiographic PR interval and adverse outcomes in older adults: The health, aging, and body composition study. Circulation. Arrhythmia and Electrophysiology, 6, 84–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nielsen, J. B. , Pietersen, A. , Graff, C. , Lind, B. , Struijk, J. J. , Olesen, M. S. , Haunsø, S. , Gerds, T. A. , Ellinor, P. T. , Køber, L. , Svendsen, J. H. , & Holst, A. G. (2013). Risk of atrial fibrillation as a function of the electrocardiographic PR interval: Results from the Copenhagen ECG study. Heart Rhythm, 10, 1249–1256. [DOI] [PubMed] [Google Scholar]
- Nishimura, R. A. , Hayes, D. L. , Holmes, D. R. , & Tajik, J. (1995). Mechanism of hemodynamic improvement by dual‐chamber pacing for severe left ventricular dysfunction: An acute doppler and catheterization hemodynamic study. Journal of the American College of Cardiology, 25, 281–288. [DOI] [PubMed] [Google Scholar]
- Olshansky, B. , Day, J. D. , Sullivan, R. M. , Yong, P. , Galle, E. , & Steinberg, J. S. (2012). Does cardiac resynchronization therapy provide unrecognized benefit in patients with prolonged PR intervals? The impact of restoring atrioventricular synchrony: An analysis from the COMPANION Trial. Heart Rhythm, 9, 34–39. [DOI] [PubMed] [Google Scholar]
- Pavri, B. B. , Hillis, M. B. , Subačius, H. , Brumberg, G. E. , Schaechter, A. , Levine, J. H. , Kadish, A. , & Defibrillators in Nonischemic Cardiomyopathy Treatment Evaluation (DEFINITE) Investigators . (2008). Prognostic value and temporal behavior of the planar QRS‐T angle in patients with nonischemic cardiomyopathy. Circulation, 117, 3181–3186. [DOI] [PubMed] [Google Scholar]
- Salden, F. C. W. M. , Kutyifa, V. , Stockburger, M. , Prinzen, F. W. , & Vernooy, K. (2018). Atrioventricular dromotropathy: Evidence for a distinctive entity in heart failure with prolonged PR interval. Europace, 20, 1067–1077. [DOI] [PubMed] [Google Scholar]
- Schiros, C. G. , Ahmed, M. I. , McGiffin, D. C. , Zhang, X. , Lloyd, S. G. , Aban, I. , Denney, T. S., Jr. , Dell'Italia, L. J. , & Gupta, H. (2015). Mitral annular kinetics, left atrial, and left ventricular diastolic function post mitral valve repair in degenerative mitral regurgitation. Frontiers in Cardiovascular Medicine, 2, 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schnittger, I. , Appleton, C. P. , Hatle, L. K. , & Popp, R. L. (1988). Diastolic mitral and tricuspid regurgitation by doppler echocardiography in patients with atrioventricular block: New insight into the mechanism of atrioventricular valve closure. Journal of the American College of Cardiology, 11, 83–88. [DOI] [PubMed] [Google Scholar]
- Schwartzman, D. (2004). Atrioventricular block and atrioventricular dissociation. In Zipes D. P. & Jalife J. (Eds.), Cardiac electrophysiology: From cell to bedside (4th ed., pp. 485–489). Saunders/Elsevier. [Google Scholar]
- Smith, J. W. , O'Neal, W. T. , Shoemaker, M. B. , Chen, L. Y. , Alonso, A. , Whalen, S. P. , & Soliman, E. Z. (2017). PR‐interval components and atrial fibrillation risk (from the atherosclerosis risk in communities study). The American Journal of Cardiology, 119, 466–472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soliman, E. Z. , Cammarata, M. , & Li, Y. (2014). Explaining the inconsistent associations of PR interval with mortality: The role of P‐duration contribution to the length of PR interval. Heart Rhythm, 11, 93–98. [DOI] [PubMed] [Google Scholar]
- Stockburger, M. , Moss, A. J. , Klein, H. U. , Zareba, W. , Goldenberg, I. , Biton, Y. , McNitt, S. , & Kutyifa, V. (2016). Sustained clinical benefit of cardiac resynchronization therapy in non‐LBBB patients with prolonged PR‐interval: MADIT‐CRT long‐term follow‐up. Clinical Research in Cardiology: Official Journal of The German Cardiac Society, 105, 944–952. [DOI] [PubMed] [Google Scholar]
- Uhm, J.‐S. , Shim, J. , Wi, J. , Mun, H. S. , Park, J. , Park, S. H. , Joung, B. , Pak, H. N. , & Lee, M. H. (2014). First‐degree atrioventricular block is associated with advanced atrioventricular block, atrial fibrillation and left ventricular dysfunction in patients with hypertension. Journal of Hypertension, 32, 1115–1120. [DOI] [PubMed] [Google Scholar]
- Vad, R. , Larsen, T. M. , Kildegaard, H. , Brabrand, M. , Lundager Forberg, J. , Ekelund, U. , Pottegard, A. , & Lassen, A. T. (2021). PR interval prolongation and 1‐year mortality among emergency department patients: A multicentre transnational cohort study. BMJ Open, 11, 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wan, S. H. , Vogel, M. W. , & Chen, H. H. (2014). Pre‐clinical diastolic dysfunction. Journal of the American College of Cardiology, 63, 407–416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zile, M. R. , & Brutsaert, D. L. (2002). New concepts in diastolic dysfunction and diastolic heart failure: Part I: diagnosis, prognosis, and measurements of diastolic function. Circulation, 105, 1387–1393. [DOI] [PubMed] [Google Scholar]
- Zile, M. R. , Tomita, M. , Ishihara, K. , Nakano, K. , Lindroth, J. , Spinale, F. , Swindle, M. , & Carabello, B. A. (1993). Changes in diastolic function during development and correction of chronic LV volume overload produced by mitral regurgitation. Circulation, 87, 1378–1388. [DOI] [PubMed] [Google Scholar]
- Zile, M. R. , Tomita, M. , Nakano, K. , Mirsky, I. , Usher, B. , Lindroth, J. , & Carabello, B. A. (1991). Effects of left ventricular volume overload produced by mitral regurgitation on diastolic function. American Journal of Physiology, 261, 1471–1480. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Our data are obtained from the publicly available database NHANES. All data are publicly available at https://www.cdc.gov/nchs/nhanes/index.htm.