Henning Guthoff, Valerie Lohner, Ute Mons, Julia Götz, Hendrik Wienemann, Jan Wrobel, Stephan Nienaber, Sascha Macherey-Meyer, Philipp von Stein, Stephan Baldus, Matti Adam, Maria Isabel Körber, Norma Jung, Victor Mauri
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Using multivariable logistic regression, predictors for infection were identified and integrated into the Risk of Infection After TAVR (RIAT) score.</p><p><strong>Results: </strong>An infectious focus was retrospectively identified in 2.6% of patients, while 11.4% received ABT. Distinct trends in body temperature (BT), white blood cells (WBC), and C-reactive protein (CRP) were noted, with BT and WBC peaking on day 1 and CRP on day 3. Significant predictors of infection included a rise in BT of ≥ 0.2 °C between day 1 and 3 (odds ratio [OR] 3.08, 95% confidence interval [CI] 1.38-6.88, p = 0.006), elevated WBC counts ≥ 12 × 10<sup>9</sup>/L (OR 3.77, 95% CI 1.67-8.48, p = 0.001), and CRP levels ≥ 80 mg/L (OR 5.72, 95% CI 2.59-12.64, p < 0.001) within three days after TAVR. Integrating these into the RIAT score revealed an infection probability of 1.5% for scores 0-3 points, 9.2% for scores 4-6 points, and 54.5% for scores 7-8 points.</p><p><strong>Conclusion: </strong>Our findings indicate significant ABT overuse among TAVR recipients, likely due to misinterpretation of postoperative physiological reactions. Incorporating specific changes and thresholds of BT, WBC, and CRP post-TAVR into the RIAT score improved risk prediction for infection, underscoring its utility in enhancing antibiotic stewardship in this growing patient population.</p>","PeriodicalId":13600,"journal":{"name":"Infection","volume":" ","pages":"1725-1735"},"PeriodicalIF":3.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12460358/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of systemic inflammatory response following transcatheter aortic valve replacement: a pathway to rational antibiotic use.\",\"authors\":\"Henning Guthoff, Valerie Lohner, Ute Mons, Julia Götz, Hendrik Wienemann, Jan Wrobel, Stephan Nienaber, Sascha Macherey-Meyer, Philipp von Stein, Stephan Baldus, Matti Adam, Maria Isabel Körber, Norma Jung, Victor Mauri\",\"doi\":\"10.1007/s15010-025-02485-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Elevations in inflammatory markers after transcatheter aortic valve replacement (TAVR) often lead to preemptive antibiotic therapy (ABT). Distinguishing between physiological inflammatory reaction and true infection is crucial for rational ABT use.</p><p><strong>Methods: </strong>This retrospective study included 1275 consecutive TAVR patients from January 2020 to July 2022. Infectious foci, ABT administration, and inflammatory markers over seven days post-procedure were evaluated. Using multivariable logistic regression, predictors for infection were identified and integrated into the Risk of Infection After TAVR (RIAT) score.</p><p><strong>Results: </strong>An infectious focus was retrospectively identified in 2.6% of patients, while 11.4% received ABT. Distinct trends in body temperature (BT), white blood cells (WBC), and C-reactive protein (CRP) were noted, with BT and WBC peaking on day 1 and CRP on day 3. Significant predictors of infection included a rise in BT of ≥ 0.2 °C between day 1 and 3 (odds ratio [OR] 3.08, 95% confidence interval [CI] 1.38-6.88, p = 0.006), elevated WBC counts ≥ 12 × 10<sup>9</sup>/L (OR 3.77, 95% CI 1.67-8.48, p = 0.001), and CRP levels ≥ 80 mg/L (OR 5.72, 95% CI 2.59-12.64, p < 0.001) within three days after TAVR. Integrating these into the RIAT score revealed an infection probability of 1.5% for scores 0-3 points, 9.2% for scores 4-6 points, and 54.5% for scores 7-8 points.</p><p><strong>Conclusion: </strong>Our findings indicate significant ABT overuse among TAVR recipients, likely due to misinterpretation of postoperative physiological reactions. 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引用次数: 0
摘要
目的:经导管主动脉瓣置换术(TAVR)后炎症标志物升高通常导致先发制人的抗生素治疗(ABT)。区分生理性炎症反应和真实感染对合理使用ABT至关重要。方法:本回顾性研究纳入了2020年1月至2022年7月连续1275例TAVR患者。术后7天对感染灶、ABT给药和炎症标志物进行评估。使用多变量逻辑回归,确定感染的预测因素并将其整合到TAVR后感染风险(RIAT)评分中。结果:回顾性分析发现,2.6%的患者存在感染灶,而11.4%的患者接受了ABT治疗。患者体温(BT)、白细胞(WBC)和c反应蛋白(CRP)变化趋势明显,BT和WBC在第1天达到峰值,CRP在第3天达到峰值。感染的重要预测因素包括第1天至第3天BT升高≥0.2°C(比值比[OR] 3.08, 95%可信区间[CI] 1.38-6.88, p = 0.006), WBC计数升高≥12 × 109/L(比值比[OR] 3.77, 95% CI 1.67-8.48, p = 0.001), CRP水平≥80 mg/L(比值比[OR] 5.72, 95% CI 2.59-12.64, p)。结论:我们的研究结果表明,TAVR受者中存在明显的ABT过度使用,可能是由于对术后生理反应的误解。将tavr后BT、WBC和CRP的特异性变化和阈值纳入RIAT评分可改善感染的风险预测,强调其在加强抗生素管理方面的作用。
Evaluation of systemic inflammatory response following transcatheter aortic valve replacement: a pathway to rational antibiotic use.
Purpose: Elevations in inflammatory markers after transcatheter aortic valve replacement (TAVR) often lead to preemptive antibiotic therapy (ABT). Distinguishing between physiological inflammatory reaction and true infection is crucial for rational ABT use.
Methods: This retrospective study included 1275 consecutive TAVR patients from January 2020 to July 2022. Infectious foci, ABT administration, and inflammatory markers over seven days post-procedure were evaluated. Using multivariable logistic regression, predictors for infection were identified and integrated into the Risk of Infection After TAVR (RIAT) score.
Results: An infectious focus was retrospectively identified in 2.6% of patients, while 11.4% received ABT. Distinct trends in body temperature (BT), white blood cells (WBC), and C-reactive protein (CRP) were noted, with BT and WBC peaking on day 1 and CRP on day 3. Significant predictors of infection included a rise in BT of ≥ 0.2 °C between day 1 and 3 (odds ratio [OR] 3.08, 95% confidence interval [CI] 1.38-6.88, p = 0.006), elevated WBC counts ≥ 12 × 109/L (OR 3.77, 95% CI 1.67-8.48, p = 0.001), and CRP levels ≥ 80 mg/L (OR 5.72, 95% CI 2.59-12.64, p < 0.001) within three days after TAVR. Integrating these into the RIAT score revealed an infection probability of 1.5% for scores 0-3 points, 9.2% for scores 4-6 points, and 54.5% for scores 7-8 points.
Conclusion: Our findings indicate significant ABT overuse among TAVR recipients, likely due to misinterpretation of postoperative physiological reactions. Incorporating specific changes and thresholds of BT, WBC, and CRP post-TAVR into the RIAT score improved risk prediction for infection, underscoring its utility in enhancing antibiotic stewardship in this growing patient population.
期刊介绍:
Infection is a journal dedicated to serving as a global forum for the presentation and discussion of clinically relevant information on infectious diseases. Its primary goal is to engage readers and contributors from various regions around the world in the exchange of knowledge about the etiology, pathogenesis, diagnosis, and treatment of infectious diseases, both in outpatient and inpatient settings.
The journal covers a wide range of topics, including:
Etiology: The study of the causes of infectious diseases.
Pathogenesis: The process by which an infectious agent causes disease.
Diagnosis: The methods and techniques used to identify infectious diseases.
Treatment: The medical interventions and strategies employed to treat infectious diseases.
Public Health: Issues of local, regional, or international significance related to infectious diseases, including prevention, control, and management strategies.
Hospital Epidemiology: The study of the spread of infectious diseases within healthcare settings and the measures to prevent nosocomial infections.
In addition to these, Infection also includes a specialized "Images" section, which focuses on high-quality visual content, such as images, photographs, and microscopic slides, accompanied by brief abstracts. This section is designed to highlight the clinical and diagnostic value of visual aids in the field of infectious diseases, as many conditions present with characteristic clinical signs that can be diagnosed through inspection, and imaging and microscopy are crucial for accurate diagnosis. The journal's comprehensive approach ensures that it remains a valuable resource for healthcare professionals and researchers in the field of infectious diseases.