Evidence map›Paper›PMID 40132535›Full record

ArticleJournal of Korean medical science2025

Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications.

Sin Young Ham, Seungjae Lee, Min-Kyung Kim, Jaehyun Jeon, Eunyoung Lee, Subin Kim, Jae-Phil Choi, Hee-Chang Jang, Sang-Won Park

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

9 authors.

Sin Young HamSeoul Veterans Hospital Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-3243-540X
Seungjae LeeSeoul Veterans Hospital Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-9461-0093
Min-Kyung KimDivision of Infectious Diseases, Department of Internal Medicine, National Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-0473-2797
Jaehyun JeonSeoul Veterans Hospital Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-1725-8468
Eunyoung LeeDepartment of Internal Medicine, Seoul National University College of Medicine and Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8280-3605
Subin KimDivision of Infectious Diseases, Seoul Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-0310-0408
Jae-Phil ChoiDivision of Infectious Diseases, Seoul Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0003-4805-7930
Hee-Chang JangNational Institute of Infectious Diseases, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-3407-8493
Sang-Won ParkDepartment of Internal Medicine, Seoul National University College of Medicine and Boramae Medical Center, Seoul, Korea. hswon1@snu.ac.kr.ORCID https://orcid.org/0000-0002-0550-1897

Funding

Korea National Institute of Health 2022-ER1903-01National Institute of Infectious Diseases
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.

methodsWe retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.

resultsA total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5-25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9-26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%),

conclusionAmong COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.

Indexed as

CoinfectionCOVID-19AdultAgedAged, 80 and overBacteremiaCommunity-Acquired InfectionsCytomegalovirus InfectionsFemaleHumansIncidenceMaleMiddle AgedRepublic of KoreaRetrospective StudiesRisk FactorsBacteremiaCoinfectionCOVID-19KoreaOpportunistic Infections

Identifiers

PMID40132535
PMCPMC11932828

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.