Quivering hand and heart: Parkinson's disease is not associated with increased in-hospital mortality in atrial fibrillation hospitalizations: A nationwide analysis
Bibliographic record
Abstract
Background Autonomic dysfunction in Parkinson's disease (PD) includes cardiovascular dysregulations which may manifest as an increased risk of atrial fibrillation (AF). However, data on the impact of PD in AF patients is lacking. Our study aimed to investigate the differences in in-hospital mortality of patients admitted for AF with underlying PD versus those without PD. Methods We examined the National Inpatient Sample (NIS) database from 2016 to 2019 for hospitalizations of AF as a principal diagnosis with and without PD as a secondary diagnosis. The primary outcome was inpatient mortality. The secondary endpoints were ventricular tachycardia (VT), ventricular fibrillation (VF), acute heart failure (AHF), cardiogenic shock (CS), cardiac arrest (CA), total hospital charge (THC), and length of stay (LOS). Results Of 1,861,859 A F hospitalizations, 0.01% (19,490) had coexisting PD. Cohorts of PD vs No-PD had a mean age of 78.1 years [CI 77.9–78.4] vs 70.5 years [CI 70.4–70.5]; male (56.3% vs 50.7%), female (43.7% vs 49.3%). The PD category had similar in-hospital mortality with the no-PD category (OR Adj = 1.18 [0.89–1.57] P = 0.240). The PD group had a lesser incidence of AHF (OR Adj = 0.79 [0.72–0.86] P < 0.001) and VT (OR Adj = 0.77 [0.62–0.95] P = 0.015). Conclusion Co-existing PD in patients admitted for AF was not associated with increased in-hospital mortality; however, there were lower odds of AHF and VT. The diminished arrhythmogenic neurohormonal axis may explain these cardiovascular benefits. Notwithstanding, to better understand the outcomes of AF in patients with PD, additional studies are required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".