Evidence map›Paper›PMID 32667433›Full record

Observational studyRevista Brasileira de terapia intensiva2020

Modified Early Warning Score as a predictor of intensive care unit readmission within 48 hours: a retrospective observational study.

Ahmed Naji Balshi, Basim Mohammed Huwait, Alfateh Sayed Nasr Noor, Abdulrahman Mishaal Alharthy, Ahmed Fouad Madi, Omar Elsayed Ramadan, Abdullah Balahmar, Huda A Mhawish, Bobby Rose Marasigan, Alva Minette Alcazar and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Revista Brasileira de terapia intensiva, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

12 authors.

Ahmed Naji BalshiCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Basim Mohammed HuwaitCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Alfateh Sayed Nasr NoorCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Abdulrahman Mishaal AlharthyCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Ahmed Fouad MadiCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Omar Elsayed RamadanCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Abdullah BalahmarCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Huda A MhawishCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Bobby Rose MarasiganCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Alva Minette AlcazarCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.
Muhammad Asim RanaInternal Medicine and Critical Care Department, Bahria Town International Hospital, Lahore, Pakistan.
Waleed Tharwat AletrebyCritical Care Department, King Saud Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the hypothesis that the Modified Early Warning Score (MEWS) at the time of intensive care unit discharge is associated with readmission and to identify the MEWS that most reliably predicts intensive care unit readmission within 48 hours of discharge.

methodsThis was a retrospective observational study of the MEWSs of discharged patients from the intensive care unit. We compared the demographics, severity scores, critical illness characteristics, and MEWSs of readmitted and non-readmitted patients, identified factors associated with readmission in a logistic regression model, constructed a Receiver Operating Characteristic (ROC) curve of the MEWS in predicting the probability of readmission, and presented the optimum criterion with the highest sensitivity and specificity.

resultsThe readmission rate was 2.6%, and the MEWS was a significant predictor of readmission, along with intensive care unit length of stay > 10 days and tracheostomy. The ROC curve of the MEWS in predicting the readmission probability had an AUC of 0.82, and a MEWS > 6 carried a sensitivity of 0.78 (95%CI 0.66 - 0.9) and specificity of 0.9 (95%CI 0.87 - 0.93).

conclusionThe MEWS is associated with intensive care unit readmission, and a score > 6 has excellent accuracy as a prognostic predictor.

Indexed as

Critical IllnessEarly Warning ScoreAdultFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedPatient DischargePatient ReadmissionPrognosisRetrospective StudiesROC CurveSensitivity and SpecificitySeverity of Illness Index

Identifiers

PMID32667433
PMCPMC7405753

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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.