Evidence map›Paper›PMID 35262028›Full record

ArticleJournal of clinical virology plus2021

A retrospective analysis of 902 hospitalized COVID-19 patients in Lebanon: clinical epidemiology and risk factors.

Fatima Dakroub, Suha Fakhredine, Mohammad Yassine, Alaa Dayekh, Rachid Jaber, Abbass Fadel, Haidar Akl, Ali Maatouk

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical virology plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Fatima DakroubResearch unit, Saint George Hospital, Lebanon.
Suha FakhredineResearch unit, Saint George Hospital, Lebanon.
Mohammad YassineResearch unit, Saint George Hospital, Lebanon.
Alaa DayekhResearch unit, Saint George Hospital, Lebanon.
Rachid JaberFaculty of Medicine, Lebanese University, Lebanon.
Abbass FadelInfectious diseases division, Saint George Hospital, Lebanon.
Haidar AklBiology Department, Faculty of Sciences-I, Lebanese University, Lebanon.
Ali MaatoukThe pulmonary department, Saint George Hospital, Lebanon.
Saint George Hospital · LBLebanese University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical epidemiology of hospitalized COVID-19 patients has never been described before in Lebanon. Moreover, the hospital admission and PCR positivity rates have not been assessed and compared yet.

objectivesTo describe the characteristics and outcomes of hospitalized patients with coronavirus induced disease 2019 (COVID-19) in Lebanon and identify risk factors for severe disease or death. STUDY

designThis is a retrospective mono-center cohort study in which we used patients' files to extract and analyse data on demographic and clinical characteristics, as well as mortality. Moreover, we tracked the pandemic by recording the daily total and ICU inpatient census and the PCR positivity rate for admitted and outpatients.

resultsAlthough the total admission rate increased from September to April, the ICU census switched this trend in December to stabilize at an average of around 10 patients/day until April. The case fatality rate was 19% for the 902 hospitalized patients, of which the majority (80%) had severe COVID-19. The severity odds ratio is significantly decreased in immunosuppressed cases (OR, 0.18; CI, 0.05-0.67; p=0.011). Additionally, the odds of COVID-19 related death are significantly greater if consolidations are found in the chest computed tomography (CT) scan (OR, 12; CI, 2.63-55.08; p=0.0013).

conclusionConsolidations in the lungs significantly increase the COVID-19 death risk. Risk factors identification is important to improve patients' management and vaccination strategies. In addition, hospital statistics are good indicators of a pandemic's track.

Indexed as

95% CI, 95 percent confidence intervalACEI, Angiotensin-converting-enzyme inhibitorsARB, Angiotensin receptor blockersARDS, Acute respiratory distress syndromeBiPAP, Bi-level positive airway pressureCase fatality rateCFS, Clinical frailty scaleClinical characteristicsCOPD, Chronic obstructive pulmonary diseaseCOVID-19COVID-19, Coronavirus disease 2019CRF, Chronic kidney failureCT, Computed tomographyCVD, cardiovascular diseasesDVT, Deep vein thrombosisECMO, Extracorporeal membrane oxygenationEpidemiologyER, emergency roomFM, Face maskGGOs, Ground glass opacitiesHFNC, High flow nasal cannulaICU, Intensive care unitLebanonMV, Mechanical ventilationNC, Nasal cannulaNIV, Non-invasive ventilationNRFM, Non-rebreathing face maskOR, Odds ratioPCR, polymerase chain reactionPE, Pulmonary embolismSARS CoV-2SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2SD, Standard deviationSGH, Saint Georges HospitalURTI, Upper respiratory tract infectionVTE, Venous thromboembolismWHO, World Health Organization

Identifiers

PMID35262028
PMCPMC8532499
OpenAlexW3209763402

What OpenQuestion holds

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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.