Evidence map›Paper›PMID 40170883›Full record

ArticleWellcome open research2022

Incidence, risk and impact of ICU readmission on patient outcomes and resource utilisation in tertiary level ICUs in Nepal: A cohort study.

Diptesh Aryal, Hem Raj Paneru, Sabin Koirala, Sushil Khanal, Subhash Prasad Acharya, Arjun Karki, Dilanthi Gamaga Dona, Rashan Haniffa, Abi Beane, Jorge I F Salluh

Abstract read
In one paragraph

Article in Wellcome open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Diptesh AryalMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-1431-8293
Hem Raj PaneruNepal Intensive Care Research Foundation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-3487-5388
Sabin KoiralaNepal Intensive Care Research Foundation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-8741-8079
Sushil KhanalNepal Intensive Care Research Foundation, Kathmandu, Nepal.
Subhash Prasad AcharyaNepal Intensive Care Research Foundation, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-1596-0496
Arjun KarkiPulmonology and Critical Care, Hospital for Advanced Medicine and Surgery (HAMS), Kathmandu, Nepal.
Dilanthi Gamaga DonaNational Intensive Care Surveillance - MORU, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0003-4058-7670
Rashan HaniffaMahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-8288-449X
Abi Beane *Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-7046-1580
Jorge I F Salluh *IDOR - D'Or Institute for Research and Education, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-8164-1453

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Readmissions to Intensive Care Units (ICUs) result in increased morbidity, mortality, and ICU resource utilisation (e.g. prolonged mechanical ventilation), and as such, is a widely utilised metric of quality of critical care. Most of the evidence on incidence, characteristics, associated risk factors and attributable outcomes of readmission to ICU are from studies performed in high-income countries This study explores the determinants of risk attributable to ICU readmission in four ICUs in Kathmandu, Nepal. Methods: The registry reported data on case mix, severity of illness, in-ICU interventions (including organ support), ICU outcome, and readmission characteristics. Data were captured in all adult patients admitted between September 2019 and February 2021. Population and ICU encounter characteristics were compared between those with and without readmission. Independent risk factors for readmission were assessed using univariate analysis. Results: In total 2955 patients were included in the study. Absolute ICU readmission rate was 5.69 % (n=168) for all four ICUs. Median time from ICU discharge to readmission was 3 days (IQR=8,1). Of those readmitted, 29.17% (n=49) were discharged at night following their index admission. ICU mortality was higher following readmission to ICU(p=0.016) and mortality was increased further in patients whose primary index discharge was at night(p= 0.019). Primary diagnosis, age, and use of organ support in the first 24hrs of index admission were all independently attributable risk factors for readmission. Conclusions: ICU readmission rates were adversely associated with significantly poorer outcomes, increased ICU resource utilisation. Clinical and organisational characteristics influenced risk of readmission and outcome.

Indexed as

ICU readmission; Incidence; Risk factor; Registry; LMICs

Identifiers

PMID40170883
PMCPMC11959250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.