Evidence map›Paper›PMID 24987236›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2014

The ability of two scoring systems to predict in-hospital mortality of patients with moderate and severe traumatic brain injuries in a Moroccan intensive care unit.

Hicham Nejmi, Houssam Rebahi, Aziz Ejlaidi, Taoufik Abouelhassan, Mohamed Abdenasser Samkaoui

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Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

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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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Hicham NejmiDepartment of Anaesthesia, Emergency and Intensive Care Medicine, University-Hospital Mohammed VI, Medical School of Marrakech, Cadi Ayyad University, Marrakech, Morocco.
Houssam RebahiDepartment of Anaesthesia, Emergency and Intensive Care Medicine, University-Hospital Mohammed VI, Medical School of Marrakech, Cadi Ayyad University, Marrakech, Morocco.
Aziz EjlaidiDepartment of Anaesthesia, Emergency and Intensive Care Medicine, University-Hospital Mohammed VI, Medical School of Marrakech, Cadi Ayyad University, Marrakech, Morocco.
Taoufik AbouelhassanDepartment of Anaesthesia, Emergency and Intensive Care Medicine, University-Hospital Mohammed VI, Medical School of Marrakech, Cadi Ayyad University, Marrakech, Morocco.
Mohamed Abdenasser SamkaouiDepartment of Anaesthesia, Emergency and Intensive Care Medicine, University-Hospital Mohammed VI, Medical School of Marrakech, Cadi Ayyad University, Marrakech, Morocco.
Cadi Ayyad University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim of studyWe aim to assess and to compare the predicting power for in-hospital mortality (IHM) of the Acute Physiology and Chronic Health Evaluation-II (APACHE-II) and the Simplified Acute Physiology Score-II (SAPS-II) for traumatic brain injury (TBI). PATIENTS AND

methodsThis retrospective cohort study was conducted during a period of 2 years and 9 months in a Moroccan intensive care unit. Data were collected during the first 24 h of each admission. The clinical and laboratory parameters were analyzed and used as per each scoring system to calculate the scores. Univariate and multivariate analyses through regression logistic models were performed, to predict IHM after moderate and severe TBIs. Areas under the receiver operating characteristic curves (AUROC), specificities and sensitivities were determined and also compared.

resultsA total of 225 patients were enrolled. The observed IHM was 51.5%. The univariate analysis showed that the initial Glasgow coma scale (GCS) was lower in nonsurviving patients (mean GCS = 6) than the survivors (mean GCS = 9) with a statistically significant difference (P = 0.0024). The APACHE-II and the SAPS-II of the nonsurviving patients were higher than those of the survivors (respectively 20.4 ± 6.8 and 31.2 ± 13.6 for nonsurvivors vs. 15.7 ± 5.4 and 22.7 ± 10.3 for survivors) with a statistically significant difference (P = 0.0032 for APACHE-II and P = 0.0045 for SAPS-II). Multivariate analysis: APACHE-II was superior for predicting IHM (AUROC = 0.92).

conclusionThe APACHE-II is an interesting tool to predict IHM of head injury patients. This is particularly relevant in Morocco, where TBI is a greater public health problem than in many other countries.

Indexed as

In-hospital mortalitypredictiontraumatic brain injury

Identifiers

PMID24987236
PMCPMC4071681
OpenAlexW1977277965

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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.