Department of Human Genetics, University of Chicago, Chicago, Illinois.
Product Development Biostatistics, Genentech, South San Francisco, California.
JAMA Netw Open. 2021 Apr 1;4(4):e218386. doi: 10.1001/jamanetworkopen.2021.8386.
The association of the nasal microbiome with outcomes in surgical patients is poorly understood.
To characterize the composition of nasal microbiota in patients undergoing clean elective surgical procedures and to examine the association between characteristics of preoperative nasal microbiota and occurrence of postoperative infection.
DESIGN, SETTING, AND PARTICIPANTS: Using a nested matched case-control design, 53 individuals who developed postoperative infection were matched (approximately 3:1 by age, sex, and surgical procedure) with 144 individuals who were not infected (ie, the control group). The 2 groups were selected from a prospective cohort of patients undergoing surgical procedures at 2 tertiary care university hospitals in Baltimore, Maryland, who were at high risk for postoperative infectious complications. Included individuals were aged 40 years or older; had no history of autoimmune disease, immunocompromised state, immune-modulating medication, or active infection; and were scheduled to undergo elective cardiac, vascular, spinal, or intracranial surgical procedure. Data were analyzed from October 2015 through September 2020.
Nasal microbiome cluster class served as the main exposure. An unsupervised clustering method (ie, grades of membership modeling) was used to classify nasal microbial samples into 2 groups based on features derived from 16S ribosomal RNA gene sequencing. The microbiome cluster groups were derived independently and agnostic of baseline clinical characteristics and infection status.
Composite of surgical site infection, bacteremia, and pneumonia occurring within 6 months after surgical procedure.
Among 197 participants (mean [SD] age, 64.1 [10.6] years; 63 [37.7%] women), 553 bacterial taxa were identified from preoperative nasal swab samples. A 2-cluster model (with 167 patients in cluster 1 and 30 patients in cluster 2) accounted for the largest proportion of variance in microbial profiles using grades of membership modeling and was most parsimonious. After adjusting for potential confounders, the probability of assignment to cluster 2 was associated with 6-fold higher odds of infection after surgical procedure (odds ratio [OR], 6.18; 95% CI, 3.33-11.7; P < .001) independent of baseline clinical characteristics, including nasal carriage of Staphylococcus aureus. Intrasample (ie, α) diversity was inversely associated with infectious outcome in both clusters (OR, 0.57; 95% CI, 0.42-0.75; P < .001); however, probability of assignment to cluster 2 was associated with higher odds of infection independent of α diversity (OR, 4.61; 95% CI, 2.78-7.86; P < .001).
These findings suggest that the nasal microbiome was an independent risk factor associated with infectious outcomes among individuals who underwent elective surgical procedures and may serve as a biomarker associated with infection susceptibility in this population.
手术患者的鼻腔微生物组与结局的关联尚未完全明确。
描述行择期清洁手术患者的鼻腔微生物群组成,并研究术前鼻腔微生物群特征与术后感染发生之间的关联。
设计、设置和参与者:采用嵌套匹配病例对照设计,选择 53 名术后发生感染的患者(按年龄、性别和手术程序大致 3:1 匹配)和 144 名未感染的患者(即对照组)进行匹配。这两组均来自巴尔的摩 2 家三级护理大学医院行择期心脏、血管、脊柱或颅内手术的高术后感染并发症风险的前瞻性队列。纳入标准为年龄 40 岁或以上;无自身免疫性疾病、免疫功能低下、免疫调节药物或活动性感染史;计划行择期心脏、血管、脊柱或颅内手术。数据分析时间为 2015 年 10 月至 2020 年 9 月。
鼻腔微生物组聚类类别为主要暴露因素。采用无监督聚类方法(即隶属度建模),根据 16S 核糖体 RNA 基因测序得到的特征,将鼻腔微生物样本分为 2 组。微生物群聚类组是独立于基线临床特征和感染状态而衍生的。
术后 6 个月内发生的手术部位感染、菌血症和肺炎的综合结果。
在 197 名参与者(平均[标准差]年龄 64.1[10.6]岁;63[37.7%]名女性)中,从术前鼻腔拭子样本中鉴定出 553 种细菌。采用隶属度建模,2 聚类模型(167 例患者归入聚类 1,30 例归入聚类 2)可解释最大的微生物特征差异,并且最节省。在校正潜在混杂因素后,与聚类 2 相关的分配概率与术后感染的 6 倍更高的几率相关(比值比[OR],6.18;95%置信区间[CI],3.33-11.7;P < .001),与基线临床特征无关,包括金黄色葡萄球菌的鼻腔携带。在两个聚类中,样本内(即α)多样性与感染结局呈负相关(OR,0.57;95%CI,0.42-0.75;P < .001);然而,与聚类 2 相关的分配概率与感染的高几率独立于α多样性相关(OR,4.61;95%CI,2.78-7.86;P < .001)。
这些发现表明,鼻腔微生物组是与行择期手术患者感染结局相关的独立危险因素,并且可能作为该人群感染易感性相关的生物标志物。