ArticleJournal of intensive care2026
Surgical site infection incidence and surgical antibiotic prophylaxis in the ICU patient: a multicenter observational study.
Article in Journal of intensive care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurgical site infection (SSI) is a major cause of postoperative morbidity. Surgical antibiotic prophylaxis (SAP), defined as the pre-incision administration of an antimicrobial agent targeting likely organisms in clean or clean-contaminated procedures without active infection at the operative site, is a cornerstone of prevention in surgery. However, critically ill patients represent a distinct population with profound susceptibility to infection. Data on SSI incidence and SAP practices in patients undergoing surgery during an intensive care unit (ICU) stay remain scarce.
methodsRetrospective multicenter cohort study in five French ICUs (March 2022-March 2023). Adult patients (≥18 years) with an ICU stay ≥ 48 h who underwent surgery during their ICU stay were included. Primary outcome was SSI incidence after surgery. Generalized estimating equations (GEE) with a prespecified adjustment set were used to estimate the adjusted association between antimicrobial spectrum and SSI, accounting for clustering within centers.
results338 patients were included (median age 56 years, IQR 35 - 67; 72% male). Overall SSI incidence was 21%. Procedures with suspected infection present at time of surgery (PATOS) (n = 52, 15%) had an SSI incidence of 37%, against 18% in PATOS-negative patients. In the primary adjusted GEE analysis, broad-spectrum vs. narrow-spectrum antimicrobials (OR 3.06; 95%CI 1.63-5.76; P < 0.001) and no antimicrobial vs. narrow-spectrum antimicrobials (OR 2.49; 95%CI 1.01-6.15; P = 0.048) were independently associated with SSI. Stratified analysis showed that antimicrobial spectrum also had significant effect on SSI risk on PATOS-positive and trauma patients. SSI was associated with prolonged ICU/hospital length of stay, increased organ support use, and worse outcomes at day 28 and day 90.
conclusionsSSI affects more than one in five critically ill patients. After adjustment for prespecified confounders, the association with broad-spectrum therapy likely reflected confounding by indication, whereas the absence of any antimicrobial coverage was independently associated with increased SSI risk. Conventional SAP guidelines derived from non-ICU populations may not apply to critically ill patients. ICU-specific prophylactic strategies, improved coordination between ICU and operating room teams, and prospective studies are needed to enhance SSI prevention in this high-risk population.
Identifiers
What OpenQuestion holds
Registered trials
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.