antibiotic discontinuation

抗生素停药
  • 文章类型: Journal Article
    背景:早期使用广谱抗生素是治疗坏死性皮肤和软组织感染(NSTI)的基石。然而,抗生素药物的最佳使用期限尚不清楚.我们试图描述NSTI患者的抗生素处方模式,以及相关的并发症。患者和方法:使用NSTI注册表,我们在四级转诊中心对抗生素使用情况进行了表征.Kaplan-Meier分析用于描述总体抗生素持续时间和相对于手术源控制,通过存在独立影响抗生素持续时间的其他感染进行分层。使用逻辑回归确定与成功停用抗生素相关的因素。结果:在2015年至2018年之间,441名患者接受了NSTI抗生素治疗,其中18%的患者经历了复杂的继发感染。在那些没有复杂感染的人中,抗生素给药的中位持续时间为9.8天(95%置信区间[CI],9.2-10.5)总体,最后清创术后7.0天。会阴NSTI接受抗生素治疗的天数较少(8.3vs.10.6)与无会阴受累的NSTI相比。白细胞(WBC)计数和发热与抗生素停药失败无关,然而,作为潜在感染病因的慢性伤口与抗生素停药失败的几率更大(比值比[OR],4.33;95%CI,1.24-15.1)。结论:最终手术清创术后7天的抗生素疗程可能足以用于NSTI,而没有任何继发的并发症感染。因为临床特征似乎与成功停用抗生素的差异无关。
    Background: Early initiation of broad-spectrum antibiotic agents is a cornerstone of the care of necrotizing skin and soft tissue infections (NSTI). However, the optimal duration of antibiotic agents is unclear. We sought to characterize antibiotic prescribing patterns for patients with NSTI, as well as associated complications. Patients and Methods: Using an NSTI registry, we characterized antibiotic use at a quaternary referral center. Kaplan-Meier analyses were used to describe overall antibiotic duration and relative to operative source control, stratified by presence of other infections that independently influenced antibiotic duration. Factors associated with successful antibiotic discontinuation were identified using logistic regression. Results: Between 2015 and 2018, 441 patients received antibiotic agents for NSTI with 18% experiencing a complicating secondary infection. Among those without a complicating infection, the median duration of antibiotic administration was 9.8 days (95% confidence interval [CI], 9.2-10.5) overall, and 7.0 days after the final debridement. Perineal NSTI received fewer days of antibiotic agents (8.3 vs. 10.6) compared with NSTI without perineal involvement. White blood cell (WBC) count and fever were not associated with failure of antibiotic discontinuation, however, a chronic wound as the underlying infection etiology was associated with greater odds of antibiotic discontinuation failure (odds ratio [OR], 4.33; 95% CI, 1.24-15.1). Conclusions: A seven-day course of antibiotic agents after final operative debridement may be sufficient for NSTI without any secondary complicating infections, because clinical characteristics do not appear to be associated with differences in successful antibiotic discontinuation.
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  • 文章类型: Journal Article
    背景:目前关于抗生素治疗发热性中性粒细胞减少症的最佳持续时间尚无共识。我们报告了根据第四届欧洲白血病感染会议(ECIL-4)建议在高危血液病患者中实施抗生素降级和停药策略的临床影响。
    方法:我们在引入基于ECIL-4的方案(以下简称“ECIL-4组”)后研究了446例入院,并与512例入院的历史队列进行了比较。主要临床终点是感染性并发症的发生率,包括感染性休克,感染相关重症监护病房(ICU)入院,和总死亡率。次要终点包括反复发热的发生率,菌血症,和抗生素消费。
    结果:在ECIL-4组中,菌血症的发生率更高(46.9%[209/446]vs30.5%[156/512];P<.001),感染性休克(4.7%[21/446]vs4.5%[23/512];P=.878)或感染相关ICU入院(4.9%[22/446]vs4.1%[21/512];P=.424)无相关增加。ECIL-4组的总死亡率显着降低(0.7%[3/446]比2.7%[14/512];P=.016),主要是由于感染相关死亡率下降(0.4%[2/446]vs1.8%[9/512];P=.058)。每次入院期间,抗生素治疗的平均2天(12vs14;P=.001)和7日抗生素剂量(17vs24;P<.001)的抗生素消耗量显着减少。
    结论:我们的结果支持ECIL-4建议的实施是安全和有效的,基于现实世界的数据在一个大的高风险患者群体。我们发现感染并发症没有增加,总的抗生素暴露量显著减少。
    BACKGROUND: There is currently no consensus on optimal duration of antibiotic treatment in febrile neutropenia. We report on the clinical impact of implementation of antibiotic de-escalation and discontinuation strategies based on the Fourth European Conference on Infections in Leukaemia (ECIL-4) recommendations in high-risk hematological patients.
    METHODS: We studied 446 admissions after introduction of an ECIL-4-based protocol (hereafter \"ECIL-4 group\") in comparison to a historic cohort of 512 admissions. Primary clinical endpoints were the incidence of infectious complications including septic shock, infection-related intensive care unit (ICU) admission, and overall mortality. Secondary endpoints included the incidence of recurrent fever, bacteremia, and antibiotic consumption.
    RESULTS: Bacteremia occurred more frequently in the ECIL-4 group (46.9% [209/446] vs 30.5% [156/512]; P < .001), without an associated increase in septic shock (4.7% [21/446] vs 4.5% [23/512]; P = .878) or infection-related ICU admission (4.9% [22/446] vs 4.1% [21/512]; P = .424). Overall mortality was significantly lower in the ECIL-4 group (0.7% [3/446] vs 2.7% [14/512]; P = .016), resulting mainly from a decrease in infection-related mortality (0.4% [2/446] vs 1.8% [9/512]; P = .058). Antibiotic consumption was significantly reduced by a median of 2 days on antibiotic therapy (12 vs 14; P = .001) and 7 daily antibiotic doses (17 vs 24; P < .001) per admission period.
    CONCLUSIONS: Our results support implementation of ECIL-4 recommendations to be both safe and effective based on real-world data in a large high-risk patient population. We found no increase in infectious complications and total antibiotic exposure was significantly reduced.
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  • 文章类型: Journal Article
    目的:新生儿迟发性败血症检查在每个新生儿科都很常见。血培养是诊断的黄金标准,然而,在48-72小时之前的阴性培养通常被认为不足以排除败血症。我们旨在开发一种决策树,该决策树可以使用临床和实验室变量在24小时内排除迟发性败血症。研究设计:在2016-2019年期间评估婴儿的晚发性败血症,没有重大畸形,在三级新生儿中心有资格纳入.在脓毒症检查后0和24小时提取血培养物以及临床和实验室数据。将细菌学证实为迟发性败血症的婴儿与匹配的对照婴儿进行比较。单因素logistic回归确定了潜在的危险因素。建立了基于卡方自动交互检测方法的决策树,并进行了验证。结果:研究队列分为发展队列(105例患者)和验证队列(60例患者)。初始评估后24小时,确定脓毒症的最佳变量是C反应蛋白>0.75mg/dl,中性粒细胞与淋巴细胞的比率>1.5,并且在24小时时出现病态。使用这3个变量以及24小时时的血液培养状态,能够通过决策树模型识别所有最终发展为败血症的婴儿。我们的决策树在接收器工作特性曲线下的面积为0.94(95%CI:0.90-0.98)。结论:在24小时血培养阴性且实验室值正常的非患病婴儿中,脓毒症极不可能发生,24小时后停用抗生素是一个可行的选择。
    Objectives: Neonatal late-onset sepsis work-up is a frequent occurrence in every neonatal department. Blood cultures are the diagnostic gold standard, however, a negative culture prior to 48-72 h is often considered insufficient to exclude sepsis. We aimed to develop a decision tree which would enable exclusion of late-onset sepsis within 24 h using clinical and laboratory variables. Study Design: Infants evaluated for late-onset sepsis during the years 2016-2019, without major malformations, in a tertiary neonatal center were eligible for inclusion. Blood cultures and clinical and laboratory data were extracted at 0 and 24 h after sepsis work-up. Infants with bacteriologically confirmed late-onset sepsis were compared to matched control infants. Univariate logistic regression identified potential risk factors. A decision tree based on Chi-square automatic interaction detection methodology was developed and validated. Results: The study cohort was divided to a development cohort (105 patients) and a validation cohort (60 patients). At 24 h after initial evaluation, the best variables to identify sepsis were C-reactive protein > 0.75 mg/dl, neutrophil-to-lymphocyte ratio > 1.5 and sick-appearance at 24 h. Use of these 3 variables together with blood culture status at 24 h, enabled identification of all infants that eventually developed sepsis through the decision tree model. Our decision tree has an area under the receiver operating characteristic curve of 0.94 (95% CI: 0.90-0.98). Conclusions: In non-sick appearing infants with a negative blood culture at 24 h and normal laboratory values, sepsis is highly unlikely and discontinuing antibiotics after 24 h is a viable option.
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  • 文章类型: Journal Article
    背景:降钙素原(PCT),一个重要的生物标志物,可用于指导呼吸道感染的抗生素治疗。然而,一些患者由于抗生素停药后感染复发,可能需要重新开始抗生素治疗。迄今为止,很少有文献研究感染复发的危险因素。本临床研究的目的:1)在PCT指导下研究呼吸机相关性肺炎(VAP)停用抗生素的情况;2)评估导致感染复发和抗生素重复使用的可能危险因素。方法:当患者符合以下标准时,进行抗生素停药:(i)血清PCT<0.5μg/L,(ii)温度<38.5℃和(iii)白细胞计数<15×109/L接下来,将患者分为感染复发组(抗生素停药后7天内感染复发)和感染对照组(抗生素停药后无感染复发).使用logistic回归分析评估了导致感染复发的可能危险因素。结果:在符合条件的51例VAP患者中,20例感染复发。临床肺部感染评分(CPIS)和气管分泌物特征是其独立危险因素(分别为P=0.045和P=0.041)。考虑感染复发。当医生认为抗生素停药时,简化的CPIS≥5对VAP的感染复发具有一定的预测价值(接受者工作特征曲线下面积0.781,特异性90.3%,灵敏度55.0%,阳性预测值78.6%,阴性预测值75.7%)。抗生素停药时,两组间的气管切开患者比例和气管内抽吸物培养结果(包括半定量结果和病原体是否为多重耐药[MDR]菌株)差异无统计学意义.结论:简化的CPIS和气管分泌物特征可用于预测PCT指导的VAP抗生素停药后感染复发。这些发现很重要,因为医生可能不需要太在意气管内抽吸物的半定量培养结果以及病原体是否是MDR菌株。试验注册:本临床试验的注册编号为:ChiCTR-OPC-17011228(试验注册名称:中国临床试验注册中心;网址:http://www。chictr.org.cn)。
    Background: Procalcitonin (PCT), an important biomarker, can be used for the guidance of antibiotic therapy in respiratory infection. However, it has been a problem that some patients might need antibiotic therapy restart because of infection recurrence after antibiotic discontinuation. To date, there are very few literature on the study of risk factors accounting for infection recurrence. Purpose of this clinical study: 1) To study on antibiotic discontinuation in ventilator-associated pneumonia (VAP) under the guidance of PCT; 2) To evaluate the possible risk factors leading to infection recurrence and antibiotic reuse. Methods: Antibiotic discontinuation was performed when patients met the following criteria: (i) serum PCT<0.5 μg/L, (ii) temperature<38.5℃ and (iii) leukocyte count<15×109/L. Next, the patients were divided into infection recurrence group (infection recurring within 7 days after antibiotic discontinuation) or infection controlled group (no infection recurring after antibiotic discontinuation). Possible risk factors accounting for infection recurrence were evaluated using logistic regression analysis. Results: Of the eligible 51 patients with VAP, 20 patients suffered infection recurrence. Clinical pulmonary infection score (CPIS) and characteristics of tracheal secretions were the independent risk factors (P=0.045 and P=0.041, respectively), accounting for infection recurrence. Simplified CPIS≥5 served a certain predictive value for infection recurrence in VAP when physicians considered antibiotic discontinuation (The area under the receiver operating characteristic curve 0.781, specificity 90.3%, sensitivity 55.0%, positive predictive value 78.6% and negative predictive value 75.7%). At the time of antibiotic discontinuation, differences between the two groups were not statistically significant in the proportion of patients with a tracheotomy and in the culture results of endotracheal aspirates (including semi-quantitative results and whether pathogens were multidrug-resistant [MDR] strains). Conclusion: Simplified CPIS and characteristics of tracheal secretions can be used to predict infection recurrence following PCT-guided antibiotic discontinuation in VAP. These findings are important because physicians may not need to put too much care on semi-quantitative culture results of endotracheal aspirates and whether pathogens are MDRstrains. Trial registration: The registration number of this clinical trial is: ChiCTR-OPC-17011228 (Trial registry name: Chinese Clinical Trial Registry; URL: http://www.chictr.org.cn).
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