Evidence map›Paper›PMID 42566214›Full record

ArticleJAMA network open2026

Trends and Interhospital Variability of NICU Bloodstream Infections in Korea.

Youn Young Choi, Ju Sun Heo, Soo-Han Choi, Ji Young Park, Hye-Kyung Cho, Byung-Wook Eun, Bongjin Lee, Gyuhong Shim, Kyu Hee Park, Mea-Young Chang and 10 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Youn Young ChoiDepartment of Pediatrics, Korea University College of Medicine, Seoul, Republic of Korea.
Ju Sun HeoKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Soo-Han ChoiKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Ji Young ParkKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Hye-Kyung ChoKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Byung-Wook EunKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Bongjin LeeKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Gyuhong ShimKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Kyu Hee ParkKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Mea-Young ChangKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Do-Hyun KimKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Ga-Ae KimKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Mi-Na KimKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Da-Rae LeeKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Yoo Jung ShinKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.
Su-Yeon LeeDivision of Healthcare Associated Infection Control, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Eunseong KimDivision of Healthcare Associated Infection Control, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Sohee JangDivision of Healthcare Associated Infection Control, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Eunseon GwakGraduate School of Public Health, Korea University, Seoul, Republic of Korea.
Hyunju LeeKorean National Healthcare-Associated Infections Surveillance System, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Health care-associated bloodstream infections (BSIs), particularly central line-associated BSIs (CLABSIs), remain an important cause of morbidity among neonates admitted to neonatal intensive care units (NICUs). Long-term Korean national data describing the trends and interhospital variability in NICU-associated infections remain limited. Objective: To evaluate national trends, interhospital variability, and microbiological characteristics of NICU-associated BSIs in Korea using nationwide surveillance data. Design, Setting, and Participants: This nationwide cohort study analyzed data from the NICU module of the Korean National Healthcare-Associated Infections Surveillance System, including NICUs that participated between July 2019 and June 2024. Surveillance definitions were based on modified Centers for Disease Control and Prevention criteria. Data were analyzed from October 2025 to June 2026. Main Outcomes and Measures: Outcomes of interest were annual BSI and CLABSI rates per 1000 patient-days and 1000 central line-days, respectively, and device utilization ratios (DURs). Temporal trends were assessed using mixed-effects negative binomial regression models with hospital-level random intercepts, adjusting for birth weight category, NICU bed capacity, and nurse staffing grade. Results: Between July 2019 and June 2024, 74 to 82 NICUs were included annually, contributing a total of 2 178 107 patient-days and 585 582 central line-days of surveillance, with annual NICU admissions ranging from 24 607 to 30 260 neonates. Overall, 948 BSIs were identified, including 836 CLABSIs (88.2%). The pooled mean BSI rate declined from 0.56 (95% CI, 0.49-0.63) to 0.35 (95% CI, 0.29-0.41) per 1000 patient-days, and the CLABSI rate declined from 1.78 (95% CI, 1.56-2.03) to 1.16 (95% CI, 0.98-1.38) per 1000 central line-days. After adjustment, the adjusted rate ratio per surveillance year was 0.91 (95% CI, 0.86-0.96) for BSI, 0.92 (95% CI, 0.87-0.97) for CLABSI, and 0.95 (95% CI, 0.93-0.98) for DUR. Despite overall improvement, substantial interhospital variability in both BSI and CLABSI rates persisted. Gram-positive cocci predominated, followed by gram-negative bacilli and fungi. Conclusions and Relevance: In this nationwide surveillance cohort study of NICUs, BSIs and CLABSIs rates declined significantly over 5 years, while substantial interhospital variability persisted. Although institutional-level risk adjustment was applied, the absence of patient-level clinical variables limits individual hospital comparisons, underscoring the need for refined risk adjustment and targeted quality improvement strategies.

Indexed as

BacteremiaCatheter-Related InfectionsCross InfectionIntensive Care Units, NeonatalCohort StudiesFemaleHumansInfant, NewbornMaleRepublic of Korea

Identifiers

PMID42566214
PMCPMC13451976

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