Evidence map›Paper›PMID 38994878›Full record

ArticleInternational wound journal2024

Risk factors for sternal wound infection after median sternotomy: A nested case-control study and time-to-event analysis.

Xiaolong Ma, Dongsheng Chen, Jianchao Liu, Wenqing Wang, Zekun Feng, Nan Cheng, Shuanglei Li, Shan Wang, Lihua Liu, Youbai Chen

Abstract read
In one paragraph

Article in International wound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
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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.

Xiaolong MaInstitute of Hospital Management, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Dongsheng ChenDepartment of Plastic and Reconstructive Surgery, The First Medical Centre of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-2732-1328
Jianchao LiuInstitute of Hospital Management, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Wenqing WangInstitute of Hospital Management, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Zekun FengDivision of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China.
Nan ChengDivision of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China.
Shuanglei LiDivision of Adult Cardiac Surgery, Department of Cardiology, The Sixth Medical Center of Chinese PLA General Hospital, Beijing, China.
Shan WangInstitute of Hospital Management, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Lihua LiuInstitute of Hospital Management, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Youbai ChenDepartment of Plastic and Reconstructive Surgery, The First Medical Centre of Chinese PLA General Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-4642-5795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although potential risk factors for sternal wound infection (SWI) have been extensively studied, the onset time of SWI and different risk factors for superficial and deep SWI were rarely reported. This nested case-control study aims to compare the onset time and contributors between superficial and deep SWI. Consecutive adult patients who underwent cardiac surgery through median sternotomy in a single center from January 2011 to January 2021 constituted the cohort. The case group was those who developed SWI as defined by CDC and controls were matched 6:1 per case. Kaplan-Meier analysis, LASSO and univariate and multivariate Cox regressions were performed. A simple nomogram was established for clinical prediction of the risk of SWI. The incidence of SWI was 1.1% (61 out of 5471) in our cohort. Totally 366 controls were matched to 61 cases. 26.2% (16 of 61) SWI cases were deep SWI. The median onset time of SWI was 35 days. DSWI had a longer latency than SSWI (median time 46 days vs. 32 days, p = 0.032). Kaplan-Meier analyses showed different time-to-SWI between patients with and without DM (p = 0.0011) or MI (p = 0.0019). Multivariate Cox regression showed that BMI (HR = 1.083, 95% CI: 1.012-1.116, p = 0.022), DM (HR = 2.041, 95% CI: 1.094-3.805, p = 0.025) and MI (HR = 2.332, 95% CI: 1.193-4.557, p = 0.013) were independent risk factors for SWI. Superficial SWI was only associated with BMI (HR = 1.089, 95% CI: 1.01-1.175, p = 0.027), while deep SWI was associated with DM (HR = 3.271, 95% CI: 1.036-10.325, p = 0.043) and surgery time (HR = 1.004, 95% CI: 1.001-1.008, p = 0.027). The nomogram for SWI prediction had an AUC of 0.67, good fitness and clinical effectiveness as shown by the calibration curve and decision curve analyses. BMI, DM and MI were independent risk factors for SWI. DSWI had a longer latency and different risk factors compared to SSWI. The nomogram showed a fair performance and good effectiveness for the clinical prediction of SWI.

Indexed as

SternotomySurgical Wound InfectionAgedCardiac Surgical ProceduresCase-Control StudiesFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSternumTime Factorsnomogramrisk factorssternal wound infectionwound healing

Identifiers

PMID38994878
PMCPMC11240533

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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.