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. 2024 Nov 29;28(1):396.
doi: 10.1186/s13054-024-05188-4.

Differential effects of thiamine and ascorbic acid in clusters of septic patients identified by latent variable analysis

Affiliations

Differential effects of thiamine and ascorbic acid in clusters of septic patients identified by latent variable analysis

David Legouis et al. Crit Care. .

Abstract

Background: Thiamine and ascorbic acid have been proposed to mitigate the devastating consequences of sepsis and septic shock. To date, randomized controlled trials have failed to demonstrate a benefit of these therapies and heterogeneity of treatment effect is suspected. In this study, we aimed at assessing the heterogeneity of treatment effect of thiamine (B1) and the combination of B1 plus ascorbic acid (AA + B1) in critically ill patients with sepsis.

Methods: We conducted a bi-centric retrospective cohort study. All adult patients admitted to the ICU with sepsis or septic shock between January 2012 and August 2022 were included. Patient clusters were identified using latent variable analysis based on demographics and physiological variables obtained within 24 h of admission. Within each cluster and using inverse probability weighted Cox models, we compared in-hospital mortality between patients who received standard treatment (control), standard treatment plus B1 (B1 group), and standard treatment plus a combination of thiamine and ascorbic acid (AA + B1 group).

Results: A total of 3465 septic patients were included, 2183, 1054 and 228 in the standard, B1 and AA + B1 groups respectively. Five clusters of patients were identified in an unsupervised manner. The "Cluster Severe" included the most severely ill patients, the "Cluster Resp" patients presented with predominantly respiratory failure, the "Cluster Old" included elderly patients with multiple comorbidities, the "Cluster Fit" patients were young, healthy with low severity indices and "Cluster Liver" included patients with predominant liver failure. B1 treatment was associated with different outcomes across the five clusters. It was associated with a lower in-hospital mortality in the "Cluster Severe" and "Cluster Resp". On the other hand, the combination of thiamine and ascorbic acid was not associated with reduced mortality in any cluster but an increased mortality in"Cluster Old".

Conclusions: These results reinforce the lack of efficacy of the combination of AA + B1 reported in recent trials and even raise concerns about potential harm in older patients with comorbidities. On the contrary, we reported improved ICU survival associated with B1 supplementation in the most severe patients and those with predominant respiratory failure, supporting the need for further trials in this specific population.

Keywords: Ascorbic acid; HAT therapy; Sepsis; Thiamine.

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Conflict of interest statement

Declarations. Ethics approval and consent to participate: The study was approved by the local ethical committee for human studies of Geneva, Switzerland (CCER 2023-00147, Commission Cantonale d’Ethique de la Recherche). The study was performed according to the Declaration of Helsinki principles. Consent for publication: All authors have approved the manuscript for submission. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
All-cause in-hospital mortality across treatment groups: Survival curves showing the cumulative hospital survival vs time across the standard treatment, B1 and AA + B1 groups, after propensity score weighting and adjustment for residual unbalanced variables
Fig. 2
Fig. 2
Identification of clusters of patients: Heatmap showing the scaled means of each variable used for clustering across the 5 groups identified. BMI Body Mass Index; COPD Chronic Obstructive Pulmonary Disease; DM Diabetes Mellitus; CKD Chronic Kidney Disease; RRT Renal Replacement Therapy; HR Heart Rate; MV Mechanical Ventilation; WBC White Blood Cell count, AST, Aspartate Aminotransferase; ALT Alanine Aminotransferase. For the sex variable, the highest values refer to the highest proportion of male patients. For PaO2/FiO2, base excess and pH variables, the values were inverted to improve visualization
Fig. 3
Fig. 3
All-cause in-hospital mortality across clusters of patients: Survival curves showing the cumulative hospital survival vs time across the standard treatment, B1 and AA + B1 groups for each cluster of patients, after propensity score weighting and adjustment for residual unbalanced variables

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