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S1285 Gallstone Ileus: How Common Is the Uncommon? A Nationwide Perspective With Overview of Hospitalization Trends, Cost of Care, and Outcomes

2020· article· en· W3094463523 on OpenAlexaff
Khwaja F. Haq, Shantanu Solanki, Zarak Khan, Raja Chandra Chakinala, Umair Iqbal, Abhishek Bhurwal, Mohammad Arsalan Siddiqui, Zubair Khan, Khwaja S. Haq, Azam H. Burney, Shanza Waqar, Muhammad Ali Khan, Suraj Suresh, Stephen Simmer, Faiza Bhatti

Bibliographic record

VenueThe American Journal of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicBiliary and Gastrointestinal Fistulas
Canadian institutionsCanadian Sleep Society
Fundersnot available
KeywordsMedicineHealthcare Cost and Utilization ProjectIleusEpidemiologyIncidence (geometry)ComorbidityDiagnosis codeImpactionGallstonesStatistical significanceGallstone ileusComplicationPediatricsDemographyHealth careInternal medicineFistulaSurgeryEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

INTRODUCTION: Gallstone ileus (GSI) is a rare complication of gallstone disease estimated to account for 1%–4% of all bowel obstructions. It is the result of gallstone impaction in the small bowel through a biliary-enteric fistula. Limited epidemiological data exists on the number of hospitalizations, demographic variations, cost of care, comorbidity measures, and outcomes for GSI. METHODS: We analyzed the National Inpatient Sample (NIS) database for all hospitalizations with GSI (ICD-9 code 560.31) as primary or secondary diagnosis during the period from 2001-2011. NIS is the largest all-payer inpatient care database in the United States, containing data on more than 7 million hospital stays. Its large sample size is ideal for developing national and regional estimates. Statistical significance of variation were determined using Cochran-Armitage trend test. RESULTS: Between 2001 and 2011, number of hospitalizations for GSI increased from 1048 to 1255 (P < 0.0001, Figure 1A). GSI was found to be more common in women (P = 0.12) and Caucasians (P = 0.03). Although age group 65–79 remained the most commonly affected, age group 50-64 showed the greatest rise from 17.8% to 25.8% (P < 0.0001, Figure 1B). South remained the most commonly affected region (P = 0.22) throughout the study period. There was a significant rise in the West from 20.6% to 25.0% (P = 0.002) with a concurrent decrease in the Northeast from 24.2% to 20.3% (P = 0.04). A proportional decrease in the number of hospitalizations was seen at both, urban non-teaching (45.6% to 41.6%, P = 0.29, Figure 1C) and rural hospitals (19.9% to 9.9%, < 0.0001, Figure 1C), while the number increased at urban teaching hospitals (34.5% to 46.7%, P < 0.0001, Figure 1C). There was an overall increase in the cost of care from $17,285 to $23,739 (P < 0.0001, Figure 1D) whereas the mean length of stay ranged from 9.5 to 11.1 days (P = 0.28). Overall mortality ranged from 4.3% to 8.6% (P = 0.005). Some of the most commonly associated comorbid conditions with GSI were hypertension, fluid and electrolyte disorders, diabetes mellitus, anemia, and chronic pulmonary disease (Figure 2). CONCLUSION: A significant rise in the number of hospitalizations with GSI was found with interesting demographic variations and association with comorbidities. Although there was no significant change in their length of stay, there was a significant rise in the cost of care during the study period, perhaps due to increased use of newer, more advanced, diagnostic and treatment modalities.Figure 1Figure 2

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.288
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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