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Influencing Factors and Prediction of Complications After Implantation of Cardiac Electronic Devices
Chuan-Jiang Chen1,2, Ming Gui1, Mei-Ping Lin2
1School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Insights
Cardiac implantable electronic device (CIED) complications are common. Key risk factors like BMI, diabetes, and medication use can predict these complications, aiding in patient management.
Area of Science:
- Cardiology
- Medical Devices
- Clinical Research
Background:
- Cardiac implantable electronic device (CIED) related complications are frequent.
- Identifying predictive factors for CIED complications is crucial due to existing uncertainties.
- This study investigates determinants of CIED-related complications and their predictive capability.
Purpose of the Study:
- To identify factors influencing the occurrence of CIED-related complications.
- To evaluate the predictive capability of identified factors for CIED complications.
- To develop prediction models for overall complications and pocket hematomas (PH).
Main Methods:
- Retrospective cohort study of 870 patients undergoing CIED implantation.
- Primary outcome: overall complications; Secondary outcome: pocket hematomas (PH).
- Logistic regression used to estimate odds ratios (OR) and develop prediction models.
Main Results:
- 4.95% of patients experienced complications, including 2.8% with PH.
- Risk factors identified: BMI, diabetes, chronic kidney disease (CKD), anticoagulants, antiplatelets, device type, replacement, and electrode quantity.
- Prediction models showed good performance (AUC up to 0.886 in training, 0.780 in testing).
Conclusions:
- BMI, diabetes, CKD, anticoagulants, antiplatelets, device type, replacement, and electrode quantity are critical risk factors for CIED complications.
- These factors can effectively predict the onset of overall complications and PH.
- The findings support improved risk stratification and patient management for CIED procedures.
Background:
Cardiac implantable electronic device (CIED) related complications occur frequently. Given the uncertainties, a comprehensive investigation of predictive factors is crucial. This study aimed to identify the determinants influencing the occurrence of CIED-related complications and to evaluate their predictive capability for the onset of CIED-related complications.
Methods:
This retrospective cohort study recruited 870 patients who underwent CIED implantation. The primary outcome was overall complications, and the secondary was pocket hematomas (PH). Logistic regression model was used to estimate the odds ratio (OR) with the 95% confidence interval (CI), and to establish the prediction models for all complications and PH.
Results:
43 cases (4.95%) developed complications during follow-up, including 24 (2.8%) PH and 19 others. After adjusted for potential confounders, body mass index (BMI), having diabetes and chronic kidney disease (CKD), usage of anticoagulants and antiplatelets, device type, device replacement, and device electrode quantities were all associated with the risk of both the complications and PH. The prediction model with these variables displayed a good performance in predicting the complications occurrence, with AUC and C-statistic being 0.886 and 0.886 in training dataset, and 0.780 and 0.761 in the test dataset. Similar good performance in predicting PH onset were also observed.
Conclusion:
The results indicate that BMI, diabetes, CKD, anticoagulants, antiplatelets, device types, device replacement, and device electrode quantities are critical risk factors, which can help predict the onset of the complications and PH.
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