Trends and outcomes of mechanically ventilated cirrhotic patients in the United States from 2005–2014
Bibliographic record
Abstract
Purpose Cirrhotic patients in organ failure are frequently admitted to intensive care units (ICUs) to receive invasive mechanical ventilation (IMV). We evaluated the trends of hospitalizations, in-hospital mortality, hospital costs, and hospital length of stay (LOS) of IMV patients with cirrhosis. Methods We analyzed the United States National Inpatient Sample from 2005–2014. We selected discharges of IMV adult (≥18 years) patients with cirrhosis using the International Classification of Diseases, 9th Edition , Clinical Modification codes. Trends were assessed using linear regression and joinpoint regression. Results Between 2005 and 2014, there were approximately 9,441,605 hospitalizations of IMV adult patients, of which 4.7% had cirrhosis. There was an increasing trend in the total number of IMV cirrhotic patient hospitalizations (annual percent change [APC] 7.0%, 95% confidence interval [CI] 6.4%; 7.6%, P trend < 0.001). The in-hospital case-fatality ratio declined between 2005–2011 (APC –2.9%, 95% CI, –3.4%; –2.4%, P trend < 0.001); however, it remained similar between 2011–2014 ( P trend = 0.58). The total annual hospital costs of all IMV cirrhotic patients increased from approximately $1.2 billion USD in 2005 to $2.7 billion USD in 2014 ( P trend < 0.001). The mean hospital costs per patient and mean LOS declined between 2005 and 2014 ( P trend < 0.001 and P trend = 0.01 respectively). Conclusions The total number of hospitalizations and total annual costs of IMV patients with cirrhosis have been increasing over time. However, past hesitancy around admitting cirrhotic patients to the ICU may need to be tempered by the improving mortality trends in this patient population.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".