Evidence map›Paper›PMID 35990312›Full record

ArticleJournal of the Saudi Heart Association2022

Development of a Cardiac Anesthesia Tool (CAT) to Predict Intensive Care Unit (ICU) Admission for Pediatric Cardiac Patients Undergoing Non-cardiac Surgery: A Retrospective Cohort Study.

Ahmed Mounir A Metwally, Ahmed Haroun M Mahmoud, Abdulrahman A Alwakeel, Abdulrahman M Aljamous, Rayan S Aldusari, Faisal Hijji, Fouzia A Al Tuwaijri, Saad Eldin M Hassan, Mohamed Ebid, Abdullah A Alghamdi

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Saudi Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 1 country.

Ahmed Mounir A MetwallyDepartment of Cardiac Sciences, Division of Cardiac Anesthesia & Division of Cardiac Surgery, King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia.
Ahmed Haroun M MahmoudDepartment of Pediatric Anesthesia, King Abdullah Specialized Children Hospital, Riyadh, Saudi Arabia.
Abdulrahman A AlwakeelKing Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Abdulrahman M AljamousKing Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Rayan S AldusariKing Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Faisal HijjiKing Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Fouzia A Al TuwaijriKing Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.
Saad Eldin M HassanDepartment of Cardiac Sciences, Division of Cardiac Anesthesia & Division of Cardiac Surgery, King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia.
Mohamed EbidDepartment of Cardiac Sciences, Division of Cardiac Anesthesia & Division of Cardiac Surgery, King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia.
Abdullah A AlghamdiDepartment of Cardiac Sciences, Division of Cardiac Anesthesia & Division of Cardiac Surgery, King Abdulaziz Cardiac Center, Riyadh, Saudi Arabia.
National Guard Health Affairs · SAKing Abdulaziz Medical City · SAKing Saud bin Abdulaziz University for Health Sciences · SAKing Abdullah International Medical Research Center · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: of the work: Pediatric cardiac patients often undergo non-cardiac surgical procedures and many of these patients would require intensive care unit admission, but can we predict the need for ICU admission in pediatric cardiac patients undergoing non-cardiac procedures. Numerous preoperative and intraoperative variables were strongly associated with ICU admission. Given the variations in the underlying cardiac physiology and the diversity of noncardiac surgical procedures along with the scarce predictive clinical tools, we aimed to develop a simple and practical tool to predict the need for ICU admission in pediatric cardiac patients undergoing non-cardiac procedures. Material and methods: This is a retrospective study, where all files of pediatric cardiac patients who underwent noncardiac surgical procedures from January 1, 2015, to December 31, 2019, were reviewed. We retrieved details of the preoperative and intraoperative variables including age, weight, comorbid conditions, and underlying cardiac physiology. The primary outcome was the need for ICU admission. We performed multiple logistic regression analyses and analyses of the area under receiver operating characteristics (ROC) curves to develop a predictive tool. Results: In total, 519 patients were included. The mean age and weight were 4.6 ± 3.4 year and 16 ± 13 Kg respectively. A small proportion (n = 90, 17%) required ICU admission. Statistically, there was strong association between each of American society of anesthesiologist's physical status (ASA-PS) class III and IV, difficult intubation, operative time more than 2 hours, requirement of transfusion and the failure of a deliberately planned extubation and ICU admission. Additional analysis was done to develop a Cardiac Anesthesia Tool (CAT) based on the weight of each variable derived from the regression coefficient. The CAT list is composed of the ASA-PS, operative time, and requirement of transfusion, difficult intubation and the failure of deliberately planned extubation. The minimum score is zero and the maximum is eight. The probability of ICU admission is proportional to the score. Conclusion: CAT is a practical and simple clinical tool to predict the need for ICU admission based on simple additive score. We propose using this tool for pediatric cardiac patients undergoing non-cardiac procedure.

Indexed as

ICU admission PredictorsNon-cardiac proceduresPediatric anesthesiaPediatric cardiac patientsPredictive clinical tools

Identifiers

PMID35990312
PMCPMC9359129
OpenAlexW4289526413

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.