Evidence map›Paper›PMID 40556847›Full record

ArticleQatar medical journal2025

An analysis of unplanned postoperative admissions to the intensive care units at different hospitals across Hamad Medical Corporation in Qatar.

Hashaam Ghafoor, Yasser Hammad, Ali Bel Khair, Osman Ahmed, Ekambaram Karunakaran, Hamed Mohamed Elgendy, Wael Mohammad Khalaf, Shaikh Nissaruddin, Hossam Mohamed Algallie, Tarek Anwar Ahmed Tageldin and 9 more

Abstract read
In one paragraph

Article in Qatar medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

19 authors.

Hashaam GhafoorDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Yasser HammadDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Ali Bel KhairDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Osman AhmedDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Ekambaram KarunakaranDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Hamed Mohamed ElgendyDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Wael Mohammad KhalafDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Shaikh NissaruddinDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Hossam Mohamed AlgallieDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Tarek Anwar Ahmed TageldinDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Ashok KandasamyDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Gulzar HussainDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Amber NazDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Mariam Ali Karrar El ObiedDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Sanjeev Dharamchand JainDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Lamia Mahmoud Mohamed TawfikDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Walaa Mohamed Sayed HassanDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Nazeer AhmedDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.
Mohammed Huzain K BukhariDepartment of Anesthesia Hamad Medical Corporation, Doha, Qatar *Email: hghafoor@hamad.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An unplanned intensive care admission (UIA) after elective surgery is a clinical indicator of patient safety and outcomes. Furthermore, it reflects both surgery- and anesthesia-related complications. The overall rate of UIA ranges from 0.28% to 2.2%. UIA is linked with higher rates ofmorbidity and mortality in surgical patients. Thus, understanding the factors leading to UIAs could improve the quality of patient care. In this study, we aimed to determine the rate and reasons for UIA following elective surgeries in public facilities in Qatar. Methods: UIA was defined as an admission to the intensive care unit (ICU) within 72 hours of anesthesia that was not anticipated during the pre-anesthesia assessment phase. A multicenter audit was conducted from January 1, 2021, to December 31, 2021, across five public hospitals in Qatar. UIA was identified from the electronic preoperative and postoperative anesthetic assessment notes and intraoperative notes. Results: Among the 2,087 ICU admissions, 42 (2.0%) were UIAs. Among the 42 patients, 57.1% were males, and the mean age was 41.83 ± 12.95 years. Most patients (64.3%) were classified as American Society of Anesthesiologists status II. The mean length of ICU stay was 2.60 ± 2.45 days. Most of the UIAs were surgery-related (54.8%), followed by anesthesia-related (26.2%) and medical-related (16.6%). Conclusion: The rate of UIA in our study was 2%, corresponding to the wide range of incidence reported in the literature. The causes of UIA are multiple; however, our study showed that the rate of anesthesia-related UIAs was 26.2%, which is less than in most previous studies.

Indexed as

intensive care unitpostoperativeUnplanned admission

Identifiers

PMID40556847
PMCPMC12183656

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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.