Application of DASC and AUSC metrics in evaluating antimicrobial stewardship interventions in critically ill patients

Objective Conventional metrics reflect use volume, not spectrum breadth, limiting de-escalation assessment. Using days of antibiotic spectrum coverage (DASC) and antibiotic spectrum coverage use (AUSC), we applied a dual-dimensional framework stratified by restriction level to evaluate the impact of antimicrobial stewardship interventions on consumption and spectrum coverage in critically ill patients with infections. Methods In this single-centre retrospective before–after intensive care unit study, an antimicrobial stewardship program optimized prescribing and reduced broad-spectrum exposure. Antimicrobial use was stratified by restriction level and evaluated using conventional metrics, spectrum-based metrics and derived ratio metrics. Results A total of 200 patients were included, and baseline characteristics were comparable between the two groups. Among 200 patients (100 per period), median DDDs decreased from 26.25 to 17.90 (r = 0.223, 95% CI 0.087–0.351; P = 0.002), DOT from 24.00 to 14.00 days (r = 0.294, 95% CI 0.162–0.420; P < 0.001), and DASC from 219.50 to 135.00 (r = 0.290, 95% CI 0.156–0.413; P < 0.001). No statistically significant between-period differences were detected for AUD, AUSC, DASC/DOT, or AUSC/AUD. In the non-special-use stratum, DASC (114.50–63.50; r = 0.242, 95% CI 0.106–0.368; P < 0.001), AUD (99.87–87.24; r = 0.157, 95% CI 0.018–0.289; P = 0.027), and AUSC (923.93–761.25; r = 0.151, 95% CI 0.012–0.284; P = 0.033) were lower in the intervention period; no statistically significant differences were detected in the special-use stratum. AUD correlated with AUSC (Spearman ρ = 0.75), as did AUSC with DASC (ρ = 0.40; both P < 0.01). Length of stay was also shorter (median 15.00 vs. 11.00 days; P < 0.001) and cumulative use correlated with it (ρ = 0.74–0.79); after accounting for observation time, only the treatment-day rate remained significantly lower (adjusted IRR 0.834, 95% CI 0.736–0.944, P = 0.004). Conclusion In this before-after study, cumulative DDDs, DOT, and DASC were lower during the intervention period, partly reflecting shorter length of stay. After adjustment, only the antibiotic treatment-day rate remained significantly lower, whereas DASC/DOT and AUSC/AUD were unchanged. DASC and AUSC may complement conventional metrics for describing spectrum exposure, but require further validation against prescribing appropriateness and clinical outcomes.

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Journal
Frontiers in Pharmacology
Published
2026-11-06
DOI
https://doi.org/10.3389/fphar.2026.1993215
Primary Topic
Antibiotic Use and Resistance
Type
article
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article

Application of DASC and AUSC metrics in evaluating antimicrobial stewardship interventions in critically ill patients

Han Wang, Yun Liu, Can Luo, Yuanyuan Yu et al.
5 links
Frontiers in Pharmacology
Antibiotic Use and Resistance
article

Application of DASC and AUSC metrics in evaluating antimicrobial stewardship interventions in critically ill patients

Han Wang, Yun Liu, Can Luo, Yuanyuan Yu, Jing Hu, Sisi Wang
article en

Abstract

Objective Conventional metrics reflect use volume, not spectrum breadth, limiting de-escalation assessment. Using days of antibiotic spectrum coverage (DASC) and antibiotic spectrum coverage use (AUSC), we applied a dual-dimensional framework stratified by restriction level to evaluate the impact of antimicrobial stewardship interventions on consumption and spectrum coverage in critically ill patients with infections. Methods In this single-centre retrospective before–after intensive care unit study, an antimicrobial stewardship program optimized prescribing and reduced broad-spectrum exposure. Antimicrobial use was stratified by restriction level and evaluated using conventional metrics, spectrum-based metrics and derived ratio metrics. Results A total of 200 patients were included, and baseline characteristics were comparable between the two groups. Among 200 patients (100 per period), median DDDs decreased from 26.25 to 17.90 (r = 0.223, 95% CI 0.087–0.351; P = 0.002), DOT from 24.00 to 14.00 days (r = 0.294, 95% CI 0.162–0.420; P < 0.001), and DASC from 219.50 to 135.00 (r = 0.290, 95% CI 0.156–0.413; P < 0.001). No statistically significant between-period differences were detected for AUD, AUSC, DASC/DOT, or AUSC/AUD. In the non-special-use stratum, DASC (114.50–63.50; r = 0.242, 95% CI 0.106–0.368; P < 0.001), AUD (99.87–87.24; r = 0.157, 95% CI 0.018–0.289; P = 0.027), and AUSC (923.93–761.25; r = 0.151, 95% CI 0.012–0.284; P = 0.033) were lower in the intervention period; no statistically significant differences were detected in the special-use stratum. AUD correlated with AUSC (Spearman ρ = 0.75), as did AUSC with DASC (ρ = 0.40; both P < 0.01). Length of stay was also shorter (median 15.00 vs. 11.00 days; P < 0.001) and cumulative use correlated with it (ρ = 0.74–0.79); after accounting for observation time, only the treatment-day rate remained significantly lower (adjusted IRR 0.834, 95% CI 0.736–0.944, P = 0.004). Conclusion In this before-after study, cumulative DDDs, DOT, and DASC were lower during the intervention period, partly reflecting shorter length of stay. After adjustment, only the antibiotic treatment-day rate remained significantly lower, whereas DASC/DOT and AUSC/AUD were unchanged. DASC and AUSC may complement conventional metrics for describing spectrum exposure, but require further validation against prescribing appropriateness and clinical outcomes.

Frontiers in PharmacologyVol. 17
Jiangsu Province Hospital (CN), Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 14%
Antibiotic Use and Resistance
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