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Relationship between changes of electrocardiogram indexes in chronic heart failure with arrhythmia and serum PIIINP
1Electrocardiogram Room, Yantai Yuhuangding Hospital, Yantai, Shandong 264000, P.R. China.
Insights
This study found that elevated serum markers like type III procollagen amino-terminal peptide (PIIINP) and brain natriuretic peptide (BNP) correlate with specific electrocardiogram (ECG) changes in chronic heart failure (CHF) patients with arrhythmia, aiding diagnosis.
Area of Science:
- Cardiology
- Biochemistry
Background:
- Chronic heart failure (CHF) is often accompanied by arrhythmias, impacting patient prognosis.
- Biomarkers such as serum type III procollagen amino-terminal peptide (PIIINP) and brain natriuretic peptide (BNP) are associated with cardiac remodeling and function.
- Electrocardiogram (ECG) indexes provide crucial information about cardiac electrical activity and structural changes.
Purpose of the Study:
- To investigate the relationship between ECG index changes in CHF patients with arrhythmia and serum PIIINP and BNP levels.
- To evaluate the diagnostic value of ECG indexes, PIIINP, and BNP in identifying slow heart failure.
Main Methods:
- 101 patients with heart failure were divided into two groups: slow arrhythmia (Group A) and non-slow arrhythmia (Group B).
- Serum PIIINP and BNP levels were measured using immunoassay and chemiluminescence, respectively.
- ECG indexes, including heart rate, P-R interval, Q-T interval, and QRS duration, were analyzed.
- Correlation analysis and Receiver Operating Characteristic (ROC) curve analysis were performed.
Main Results:
- Serum PIIINP and BNP levels were significantly higher in Group A (slow arrhythmia) compared to Group B.
- Both PIIINP and BNP levels showed significant differences across NYHA cardiac function classifications (II, III, and IV).
- ECG indexes such as heart rate and Q-T interval were higher in Group A, while P-R interval and QRS duration were lower.
- Positive correlations were observed between BNP/PIIINP and heart rate/Q-T interval, and negative correlations with P-R interval and QRS duration. PIIINP also correlated positively with NYHA classification.
Conclusions:
- ECG indexes are correlated with serum PIIINP and BNP levels in CHF patients with arrhythmia.
- These biomarkers and ECG findings have diagnostic value for CHF, particularly for slow heart failure.
- Utilizing ECG indexes to predict BNP and PIIINP levels can aid in the diagnosis and management of CHF.
Abstract:
Relationship between changes of electrocardiogram (ECG) indexes in chronic heart failure (CHF) with arrhythmia and serum type III procollagen amino-terminal peptide (PIIINP) and brain natriuretic peptide (BNP) were evaluated. From December 2017 to December 2018, 101 patients with heart failure (HF) were collected. Among them, 48 patients with HF and slow arrhythmia were in group A, and 53 cases of HF with non-slow arrhythmia were sin group B, including 33 males and 20 females. BNP was detected by chemiluminescence and PIIINP was detected by immunoassay. The changes of ECG indexes in the two groups, the correlation between serum PIIINP and BNP and NYHA classification of cardiac function, and the correlation between ECG indexes and PIIINP and BNP were detected. ROC curve analysis of BNP and PIIINP in the diagnosis of slow HF was carried out. Serum PIIINP and BNP in group A were significantly higher than those in group B (P<0.05). The levels of PIIINP and BNP in serum of NYHA patients with different cardiac functions, and those in serum of patients with class III were significantly higher than those of group II (P<0.05), while significantly lower than those of group IV (P<0.05). The heart rate and Q-T interval in group A were significantly higher than those in group B (P<0.05). The P-R interval and QES wave group in group A were significantly lower than those in group B (P<0.05). BNP had a positive correlation with Hr and G-T, and was negatively correlated with P-R and QRS; PIIINP was positively correlated with Hr and G-T, and had a negative correlation with P-R, QRS and BNP; PIIINP had positive correlation with NYHA; ECG indexes were correlated with BNP and PIIINP, and had diagnostic value for CHF. Using ECG indexes to predict BNP and PIIINP levels was conducive to the diagnosis of CHF.
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