Evidence map›Paper›PMID 33930079›Full record

Observational studyPloS one2021

Epidemiology, outcomes, and utilization of intensive care unit resources for critically ill COVID-19 patients in Libya: A prospective multi-center cohort study.

Muhammed Elhadi, Ahmed Alsoufi, Abdurraouf Abusalama, Akram Alkaseek, Saedah Abdeewi, Mohammed Yahya, Alsnosy Mohammed, Mohammed Abdelkabir, Mohammed Huwaysh, Emad Amkhatirah and 11 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  5. Development and Validation of a Multivariable Machine Learning Model for Mortality Prediction among Intensive Care Unit Patients.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
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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

21 authors at 7 institutions in 1 country.

Muhammed ElhadiFaculty of Medicine University of Tripoli, Tripoli, Libya.ORCID 0000-0001-6406-4212
Ahmed AlsoufiFaculty of Medicine University of Tripoli, Tripoli, Libya.
Abdurraouf AbusalamaAlmwasfat Isolation Hospital, Tripoli, Libya.
Akram AlkaseekGharyan Hospital, Gharyan, Libya.
Saedah AbdeewiSebha Medical Center, Sebha, Libya.
Mohammed YahyaAlmarj Teaching Hospital, Almarj, Libya.
Alsnosy MohammedAlmarj Teaching Hospital, Almarj, Libya.
Mohammed AbdelkabirSebha Medical Center, Sebha, Libya.
Mohammed HuwayshAlshahid Attia Alkasah General Hospital, Alkufra, Libya.
Emad AmkhatirahAlmarj Teaching Hospital, Almarj, Libya.
Kamel AlshorbajiMisurata Medical Center, Misurata, Libya.
Samer KhelSoq Altholatha Isolation Center, Tripoli, Libya.
Marwa GamraEmeitiga Military Hospital, Tripoli, Libya.
Abdulmueti AlhadiSorman Isolation Center, Sorman, Libya.
Taha AbubakerBenghazi Medical Center, Benghazi, Libya.
Mohamed AnaibaMisurata Medical Center, Misurata, Libya.
Mohammed ElmugassabiMisurata Medical Center, Misurata, Libya.
Muhannud BinnawaraTripoli Central Hospital, Tripoli, Libya.
Ala KhaledFaculty of Medicine University of Tripoli, Tripoli, Libya.
Ahmed ZaidFaculty of Medicine University of Tripoli, Tripoli, Libya.
Ahmed MsherghiFaculty of Medicine University of Tripoli, Tripoli, Libya.
University of Tripoli · LYMisurata University · LYTripoli Central Hospital · LYSebha University · LYAl Zawiya University · LYCenter for Solar Energy Research and Studies · LYUniversity of Benghazi · LY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease (COVID-19) pandemic has severely affected African countries, specifically the countries, such as Libya, that are in constant conflict. Clinical and laboratory information, including mortality and associated risk factors in relation to hospital settings and available resources, about critically ill patients with COVID-19 in Africa is not available. This study aimed to determine the mortality and morbidity of COVID-19 patients in intensive care units (ICU) following 60 days after ICU admission, and explore the factors that influence in-ICU mortality rate.

methodsThis is a multicenter prospective observational study among COVID-19 critical care patients in 11 ICUs in Libya from May 29th to December 30th 2020. Basic demographic data, clinical characteristics, laboratory values, admission Sequential Organ Failure Assessment (SOFA) score, quick SOFA, and clinical management were analyzed.

resultWe included 465 consecutive COVID-19 critically ill patients. The majority (67.1%) of the patients were older than 60 years, with a median (IQR) age of 69 (56.5-75); 240 (51.6%) were male. At 60 days of follow-up, 184 (39.6%) were discharged alive, while 281 (60.4%) died in the intensive care unit. The median (IQR) ICU length of stay was 7 days (4-10) and non-survivors had significantly shorter stay, 6 (3-10) days. The body mass index was 27.9 (24.1-31.6) kg/m2. At admission to the intensive care unit, quick SOFA median (IQR) score was 1 (1-2), whereas total SOFA score was 6 (4-7). In univariate analysis, the following parameters were significantly associated with increased/decreased hazard of mortality: increased age, BMI, white cell count, neutrophils, procalcitonin, cardiac troponin, C-reactive protein, ferritin, fibrinogen, prothrombin, and d-dimer levels were associated with higher risk of mortality. Decreased lymphocytes, and platelet count were associated with higher risk of mortality. Quick SOFA and total SOFA scores increase, emergency intubation, inotrope use, stress myocardiopathy, acute kidney injury, arrythmia, and seizure were associated with higher mortality.

conclusionOur study reported the highest mortality rate (60.4%) among critically ill patients with COVID-19 60 days post-ICU admission. Several factors were found to be predictive of mortality, which may help to identify patients at risk of mortality during the ongoing COVID-19 pandemic.

Indexed as

AgedCOVID-19Critical CareCritical IllnessFemaleHospital MortalityHumansIntensive Care UnitsLibyaMaleMiddle AgedProspective StudiesRisk FactorsSARS-CoV-2Survival Analysis

Identifiers

PMID33930079
PMCPMC8087095
OpenAlexW3158340854

What OpenQuestion holds

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LicenceCC BY
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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.