SPECT MIBI imaging for cardiac output and index in end stage renal disease
Bibliographic record
Abstract
To compare cardiac output (CO) and cardiac index (CI) and left ventricular ejection fraction (LVEF) in end-stage renal disease (ESRD) with a control group using gated single photon emission computed tomography (SPECT)/computed tomography (CT) imaging. Altered cardiovascular function with increased CO secondary to arterio-venous fistulas (AVF) for dialysis has been reported in patients with ESRD. Thirty-two patients (18 with AVF or graft) referred for pre-renal transplant cardiac assessment using SPECT/CT were studied with 2 comparison groups, 42 normal weight (body mass index<30) and 46 obese (body mass index>30) patients. End-stage renal disease patients had overall reduced mean hemoglobin 11.6 mg/dL and elevated mean parathyroid hormone of 396 pg/mL. Gated SPECT using MIBI was performed after Bruce protocol apart from 4 renal patients who underwent cardiac stressing with adenosine. Cardiac output was calculated by product of stroke volume and resting heart rate and CI determined. Mean CI was 2.6 L/min/m(2) for renal disease group compared with 2.2 and 2.3 L/min/m(2) for the normal weight and obese groups, P=0.005 and 0.005 respectively (Wilcoxon's rank test). Cardiac output was increased for the renal group; 4.9 L/min, equal to the obese group but greater than normal weight group at 4.3 L/min. No significant difference in LVEF was seen between the 3 patient groups. No significant difference in CI or output was seen between the renal disease patients with AVF and those without fistulas. Cardiac ouput and CI, assessed using SPECT/CT, are increased in patients with ESRD. This may be independent of the presence of AVF or grafts and other factors such as anemia and hyperparathyroidism may contribute to this high output cardiac function. As LVEF is not increased for these patients, increased heart rate, may also contribute to elevated CO.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".