Evidence map›Paper›PMID 35750606›Full record

ArticleInfection, disease & health2023

Predictors of mortality in patients with COVID-19 infection in different health-care settings: A retrospective analysis from a CORACLE study group.

Lucio Boglione, Silvia Corcione, Nour Shbaklo, Tommaso Lupia, Silvia Scabini, Simone Mornese Pinna, Silvio Borrè, Francesco Giuseppe De Rosa

Abstract read
In one paragraph

Article in Infection, disease & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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.

Lucio BoglioneUniversity of Eastern Piedmont, Department of Translational Medicine, Novara, Italy. Electronic address: lucio.boglione@uniupo.it.
Silvia CorcioneDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy; Tufts University School of Medicine, Boston, MA, USA.
Nour ShbakloDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy.
Tommaso LupiaDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy.
Silvia ScabiniDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy.
Simone Mornese PinnaDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy.
Silvio BorrèSaint Andrea Hospital, Unit of Infectious Diseases, Vercelli, Italy.
Francesco Giuseppe De RosaDepartment of Medical Sciences, Infectious Diseases, University of Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the large number of hospitalized patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, few data are available about risk factors and mortality in subjects with nosocomially acquired respiratory infection of Coronavirus Disease 2019 (COVID-19).

methodsWe retrospectively evaluated in a multicentric study -during the pre-vaccination era-all patients admitted with confirmed diagnosis of nosocomial COVID-19 (NC). Patients were classified according to provenance: hospital-acquired NC or long-term care (LTC) facilities.

resultsAmong overall 1047 patients evaluated with COVID-19, 137 had a confirmed diagnosis of NC (13%). 78 (56.9%) patients had hospital-acquired NC and 59 (43%) had LTC NC. Overall mortality was 35.8%, in hospital-acquired NC 24.4%, in LTC NC 50.8% (p < 0.001) (Log Rank test: p = 0.001). Timing of diagnosis was significantly different between hospital acquired and LTC NC (3.5 vs 10 days, p < 0.001). In multivariate analysis age, intensive-care unit admission, LTC provenance and sepsis were significant predictors of mortality in patients with NC infection.

conclusionPatients with NC are at higher risk of mortality (especially for LTC NC) and required preventive strategies, early diagnosis, and treatment to avoid COVID-19 cluster.

Indexed as

COVID-19HospitalizationHospitalsHumansRetrospective StudiesSARS-CoV-2COVID-19Hospital infectionLong-term careMortalityNosocomialSARS-CoV-2

Identifiers

PMID35750606
PMCPMC9192942

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.