Impact of time from discharge to readmission on outcomes: an observational study from the US National Readmission Database

Background
The Hospital Readmission Reduction Programme (HRRP) was created to decrease the number of hospital readmissions for acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), heart failure (HF), pneumonia (PNA), coronary artery bypass graft (CABG), elective total hip arthroplasty (THA) and total knee arthroplasty.

Objectives
To analyse the impact of the HRRP on readmission rates from 2010 to 2019 and how time to readmission impacted outcomes.

Design
Population-based retrospective study.

Setting
All patients included in the US National Readmission database from 2010 to 2019.

Patients
We recorded demographic and clinical variables.

Measurements
Using linear regression models, we analysed the association between readmission status and timing with death and length of stay (LOS) outcomes. We transformed LOS and charges into log-LOS and log-charges to normalise the data.

Results
There were 31 553 363 records included in the study. Of those, 4 593 228 (14.55%) were readmitted within 30 days. From 2010 to 2019, readmission rates for COPD (20.8%–19.8%), HF (24.9%–21.9%), PNA (16.4%–15.1%), AMI (15.6%–12.9%) and TKR (4.1%–3.4%) decreased whereas CABG (10.2%–10.6%) and THA (4.2%–5.8%) increased. Readmitted patients were at higher risk of mortality (6% vs 2.8%) and had higher LOS (3 (2–5) vs 4 (3–7)). Patients readmitted within 10 days had a mortality 6.4% higher than those readmitted in 11–20 days (5.4%) and 21–30 days (4.6%). Increased time from discharge to readmission was associated with a lower likelihood of mortality, like LOS.

Conclusion
Over the last 10 years, readmission rates decreased for most conditions included in the HRRP except CABG and THA. Patients readmitted shortly after discharge were at higher risk of death.

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Agosto 2024

Diagnostic yield from symptomatic gastroscopy in the UK: British Society of Gastroenterology analysis using data from the National Endoscopy Database

Objective
This national analysis aimed to calculate the diagnostic yield from gastroscopy for common symptoms, guiding improved resource utilisation.

Design
A cross-sectional study was conducted of diagnostic gastroscopies between 1 March 2019 and 29 February 2020 using the UK National Endoscopy Database. Mixed-effect logistic regression models were used, incorporating random (endoscopist) and fixed (symptoms, age and sex) effects on two dependent variables (endoscopic cancer; Barrett’s oesophagus (BO) diagnosis). Adjusted positive predictive values (aPPVs) were calculated.

Results
382 370 diagnostic gastroscopies were analysed; 30.4% were performed in patients aged

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Agosto 2024