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. 2025 Feb 21;9(1):21.
doi: 10.1186/s41927-025-00469-z.

Effect of gout on 30-day survival in ICU patients: retrospective analysis of a large cohort of critically ill patients

Affiliations

Effect of gout on 30-day survival in ICU patients: retrospective analysis of a large cohort of critically ill patients

Rouxin Li et al. BMC Rheumatol. .

Abstract

Background: Gout is a chronic disease caused by the deposition of sodium urate crystals, which is prone to multiple comorbidities, especially cardiovascular and kidney diseases. Patients with gout have higher all-cause and cause-specific mortality. However, it is unclear whether gout affects survival in ICU patients.

Methods: Data of the ICU patient cohort were obtained from the MIMIC IV database. The survival difference between the two groups was compared by Log-rank method. Cox regression was used to estimate the hazard ratio. Possible influencing factors were adjusted by matching. Quantitative variables were compared with Mann-Whitney/Wilcoxon test, and categorical variables were compared with Pearson's Chi-squared test.

Results: The 30-day survival rate of gout patients in ICU was 87.13%, significantly higher than 84.88% in matched controls (P = 0.009), with hazard ratio (HR) of 0.83 (95% CI: 0.73-0.96). HR was reduced to 0.74 (95% CI: 0.64-0.84) after adjusting Charlson comorbidity Index (CCI) and 0.72 (95% CI: 0.63-0.82) after adjusting sequential organ failure assessment (SOFA). HR rose to 0.86 (95% CI: 0.75-0.98) after matching the first diagnosis, but the difference was still statistically significant (P = 0.029). After grouping matching for sepsis, HR decreased slightly, to 0.80.

Conclusion: Gout showed a protective effect on 30-day survival in ICU patients, indicating that the understanding of gout deserves further exploration.

Keywords: 30-day mortality; Gout; Hyperuricemia; Intensive care unit; MIMIC-IV.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The Institutional Review Boards of the Massachusetts Institute of Technology and Beth Israel Deaconess Medical Center approved the establishment of this public database. As this study was an analysis of MIMIC-IV database, the need for ethical approval and informed consent has been waived. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The Kaplan-Meier curves before and after matching. (A) The Kaplan-Meier curve before matching. (B) The Kaplan-Meier curve after matching
Fig. 2
Fig. 2
The effect of adjustment for confounding factors
Fig. 3
Fig. 3
The Kaplan-Meier curves of patients treated with or without urico-lowering drugs

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