Evidence map›Paper›PMID 35598032›Full record

ReviewAntimicrobial resistance and infection control2022

Microbiologically confirmed infections and antibiotic-resistance in a national surveillance study of hospitalised patients who died with COVID-19, Italy 2020-2021.

Marco Floridia, Marina Giuliano, Monica Monaco, Luigi Palmieri, Cinzia Lo Noce, Anna Teresa Palamara, Annalisa Pantosti, Silvio Brusaferro, Graziano Onder, Italian National Institute of Health COVID-19 Mortality Group

Open access · goldAbstract readReview
In one paragraph

Review in Antimicrobial resistance and infection control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Antimicrobial resistance before and after the COVID-19 pandemic in Northern Brazil.Antimicrobial stewardship & healthcare epidemiology : ASHE · 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

10 authors at 1 institution in 1 country.

Marco FloridiaNational Center for Global Health, Istituto Superiore Di Sanità, Viale Regina Elena 299, 00161, Rome, Italy. marco.floridia@iss.it.ORCID 0000-0003-3971-0141
Marina GiulianoNational Center for Global Health, Istituto Superiore Di Sanità, Viale Regina Elena 299, 00161, Rome, Italy.
Monica MonacoDepartment of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy.
Luigi PalmieriDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità, Rome, Italy.
Cinzia Lo NoceDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità, Rome, Italy.
Anna Teresa PalamaraDepartment of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy.
Annalisa PantostiDepartment of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy.
Silvio BrusaferroIstituto Superiore Di Sanità, Rome, Italy.
Graziano OnderDepartment of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore Di Sanità, Rome, Italy.
Italian National Institute of Health COVID-19 Mortality Group
Istituto Superiore di Sanità · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients hospitalised for COVID-19 may present with or acquire bacterial or fungal infections that can affect the course of the disease. The aim of this study was to describe the microbiological characteristics of laboratory-confirmed infections in hospitalised patients with severe COVID-19.

methodsWe reviewed the hospital charts of a sample of patients deceased with COVID-19 from the Italian National COVID-19 Surveillance, who had laboratory-confirmed bacterial or fungal bloodstream infections (BSI) or lower respiratory tract infections (LRTI), evaluating the pathogens responsible for the infections and their antimicrobial susceptibility.

resultsAmong 157 patients with infections hospitalised from February 2020 to April 2021, 28 (17.8%) had co-infections (≤ 48 h from admission) and 138 (87.9%) had secondary infections (> 48 h). Most infections were bacterial; LRTI were more frequent than BSI. The most common co-infection was pneumococcal LRTI. In secondary infections, Enterococci were the most frequently recovered pathogens in BSI (21.7% of patients), followed by Enterobacterales, mainly K. pneumoniae, while LRTI were mostly associated with Gram-negative bacteria, firstly Enterobacterales (27.4% of patients, K. pneumoniae 15.3%), followed by A. baumannii (19.1%). Fungal infections, both BSI and LRTI, were mostly due to C. albicans. Antibiotic resistance rates were extremely high in Gram-negative bacteria, with almost all A. baumannii isolates resistant to carbapenems (95.5%), and K. pneumoniae and P. aeruginosa showing carbapenem resistance rates of 59.5% and 34.6%, respectively.

conclusionsIn hospitalised patients with severe COVID-19, secondary infections are considerably more common than co-infections, and are mostly due to Gram-negative bacterial pathogens showing a very high rate of antibiotic resistance.

Indexed as

Anti-Bacterial AgentsBacteremiaCoinfectionCOVID-19Drug Resistance, MicrobialFungemiaHospitalizationHumansItalyPopulation SurveillanceRespiratory Tract InfectionsAnti-Bacterial AgentsAntimicrobial resistanceBacterial infectionsBloodstream infectionsCo-infectionsCOVID-19Fungal infectionsLower respiratory tract infectionsSecondary infections

Identifiers

PMID35598032
PMCPMC9123740
OpenAlexW4281252242

What OpenQuestion holds

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LicenceCC BY
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.