# Impact of early β-blocker use on the incidence of sepsis and clinical outcomes following cardiac surgery: a retrospective cohort study

**Authors:** Chen Yin, Chengjian Guan, Qianli Ma, Shaotong Zhang, Qian Chen, Bing Xiao

PMC · DOI: 10.3389/fphar.2025.1615868 · 2025-07-30

## TL;DR

This study finds that using beta-blockers early after heart surgery may reduce the risk of sepsis and improve survival rates.

## Contribution

The novel contribution is evidence that early β-blocker use after cardiac surgery is associated with reduced sepsis and mortality.

## Key findings

- Early β-blocker use was linked to lower sepsis risk and in-hospital mortality.
- Both low and high doses of metoprolol showed reduced postoperative sepsis risk.
- Cumulative sepsis incidence was lower in β-blocker users according to competing risk analyses.

## Abstract

Sepsis after cardiac surgery represents a severe perioperative complication with high incidence and mortality rates. While the cardioprotective benefits of β-blocker following cardiac surgery are widely recognized, their impact on sepsis development remains unclear. This study aims to investigate the association between early postoperative β-blocker use and the incidence of sepsis, as well as clinical outcomes, in patients undergoing cardiac surgery.

The analysis incorporated data from the MIMIC-IV database, with confounding factors addressed through propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and overlap weighting (OW). Logistic regression models assessed the risk of sepsis and in-hospital mortality, while Cox proportional hazards models evaluated 28-day and 1-year mortality. Kaplan-Meier survival curves and log-rank tests compared survival between groups. Sensitivity analyses using Fine-Gray competing risk models and cumulative incidence functions were performed. Subgroup analyses explored heterogeneity of treatment effects, and metoprolol was further stratified by dose to assess dose-response relationships.

A total of 3,154 patients treated with β-blocker and 5,220 controls were included. Early β-blocker use was associated with a reduced risk of sepsis and lower in-hospital mortality across all methods. For 28-day and 1-year mortality, β-blocker use showed a trend toward risk reduction. Competing risk analyses demonstrated lower cumulative incidence of sepsis in the β-blocker group. Subgroup and dose-response analyses indicated that both low and high doses of metoprolol were associated with reduced postoperative sepsis risk and mortality outcomes.

Early use of β-blocker after cardiac surgery was associated with a lower incidence of sepsis, with potential benefits observed in both short-term and long-term prognosis. These findings provide valuable evidence for optimizing perioperative drug management strategies.

## Linked entities

- **Chemicals:** metoprolol (PubChem CID 4171)

## Full-text entities

- **Genes:** IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, PYCARD (PYD and CARD domain containing) [NCBI Gene 29108] {aka ASC, CARD5, TMS, TMS-1, TMS1}, IGKV7-3 (immunoglobulin kappa variable 7-3 (pseudogene)) [NCBI Gene 28905] {aka B1, IGKV73}, SIRT1 (sirtuin 1) [NCBI Gene 23411] {aka SIR2, SIR2L1, SIR2alpha}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, NLRP3 (NLR family pyrin domain containing 3) [NCBI Gene 114548] {aka AGTAVPRL, AII, AVP, C1orf7, CIAS1, CLR1.1}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, ADRB2 (adrenoceptor beta 2) [NCBI Gene 154] {aka ADRB2R, ADRBR, ARB2, B2AR, BAR, BETA2AR}, NFE2L2 (NFE2 like bZIP transcription factor 2) [NCBI Gene 4780] {aka IMDDHH, NRF2, Nrf-2}, GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, ALPP (alkaline phosphatase, placental) [NCBI Gene 250] {aka ALP, PALP, PLAP, PLAP-1}, MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}
- **Diseases:** rheumatic disease (MESH:D012216), Comorbidity (MESH:D004194), mitochondrial dysfunction (MESH:D028361), inflammatory (MESH:D007249), death (MESH:D003643), Oasis (MESH:D045169), dysfunction (MESH:D006331), MI (MESH:D009203), chronic pulmonary disease (MESH:D002908), lung disease (MESH:D008171), postoperative infection (MESH:D013530), SIRS (MESH:D018746), hypertension (MESH:D006973), diabetes (MESH:D003920), malignancy (MESH:D009369), infection (MESH:D007239), Sepsis (MESH:D018805), Organ Failure (MESH:D009102), bleeding (MESH:D006470), AF (MESH:D001281), septic (MESH:D001170), kidney disease (MESH:D007674), chronic liver disease (MESH:D008107), chronic kidney disease (MESH:D051436), postoperative (MESH:D019106)
- **Chemicals:** potassium (MESH:D011188), lipopolysaccharide (MESH:D008070), bilirubin (MESH:D001663), urea nitrogen (MESH:C530477), PO2 (MESH:C093415), catecholamines (MESH:D002395), esmolol (MESH:C036604), calcium (MESH:D002118), glucose (MESH:D005947), chloride (MESH:D002712), sodium (MESH:D012964), CO2 (MESH:D002245), cortisol (MESH:D006854), CVL (MESH:D000077261), bicarbonate (MESH:D001639), oxygen (MESH:D010100), creatinine (MESH:D003404), lactic (-), magnesium (MESH:D008274), metoprolol (MESH:D008790)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12343738/full.md

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Source: https://tomesphere.com/paper/PMC12343738