Chronic Kidney Disease in Patients Undergoing Cardiac Device Placement: Results of a Retrospective Study
Bibliographic record
Abstract
BACKGROUND: Cardiovascular issues (especially arrhythmia and sudden cardiac death) are one of the most common causes of mortality in patients with chronic kidney disease (CKD). To minimize cardiac mortality, these patients frequently require various cardiac devices, such as pacemakers, loop recorders, and defibrillators which can compromise their vascular access. In this study, we aim to determine the prevalence of CKD in patients undergoing cardiac device placement and their progression of CKD. METHODS: Institutional review board approval was obtained for this study. A total of 688 patients undergoing cardiac device placement were included in this study over a 3-year period at Jersey Shore University Medical Center. Demographic characteristics, comorbidities, base-line renal functions during the procedure, types of cardiac devices, sites of vascular access and follow-up renal function when available were assessed retrospectively. Patients were categorized into CKD stages 1 - 5 based on the National Kidney Foundation-Kidney Disease Outcomes Quality Initiative (NKF-KDOQI) guidelines. The patients who were already on hemodialysis were excluded in this study. RESULTS: The average age of the patient were 73.9 years with male predominance (60%). A total of 227 patients (33%) had estimated glomerular filtration rate (eGFR) < 60 mL/min consistent with the evidence of advanced-stage CKD (stages 3 - 5) at the time of cardiac device placement. The most common types of device placements were new insertion/replacement of atrial and ventricular leads (39.5%), loop recorder implantation (21.1%) and generator changes on an already implanted device (11%). Only 4% (28/688) had a leadless cardiac device placement. The most common access sites were subclavian (47.1%), axillary (32.3%) and femoral (12.2%). CONCLUSIONS: The present study demonstrated that nearly one-third of the patient undergoing cardiac device placement had an advanced degree of renal failure. Because CKD is a progressive disease, many of these patients might require renal replacement therapy in the future. Transvenous devices is not a good choice in this group of patients as they will ultimately require an arteriovenous fistula. Subcutaneous leadless cardiac device insertion might be a better option in patients with advanced CKD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".