Evidence map›Paper›PMID 33914049›Full record

ArticleJAMA network open2021

Nasal Microbiota and Infectious Complications After Elective Surgical Procedures.

Chiaowen Joyce Hsiao, Joseph N Paulson, Sarabdeep Singh, Emmanuel F Mongodin, Karen C Carroll, Claire M Fraser, Peter Rock, Nauder Faraday

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06731881 (Leveraging Photodynamic Therapy to Inhibit Microorganisms - Assessing the Efficacy of Photodynamic Therapy for Preventing Surgical Site Infections in Nasal Surgery Patients), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06731881 narecruitingnot on this mapstarted 2025, after this paper: background citation

Leveraging Photodynamic Therapy to Inhibit Microorganisms - Assessing the Efficacy of Photodynamic Therapy for Preventing Surgical Site Infections in Nasal Surgery Patients: A Pilot Study

TypeinterventionalSponsorGuy's and St Thomas' NHS Foundation TrustRan2025 to 2026Enrolled80ConditionsSurgery, Nasal Disease, Light, Therapy, ComplicationsArmsNasal PDT, Photosensitizer formulation only, Standard follow-up, Nasal culture, Flexible nasendoscopy
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. A Distinct Nasal Microbiota Signature in Peritoneal Dialysis Patients.medRxiv : the preprint server for health sciences · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Chiaowen Joyce HsiaoDepartment of Human Genetics, University of Chicago, Chicago, Illinois.
Joseph N PaulsonProduct Development Biostatistics, Genentech, South San Francisco, California.
Sarabdeep SinghCenter for Drug Evaluation and Research, Food and Drug Administration, White Oak, Maryland.
Emmanuel F MongodinInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore.
Karen C CarrollDivision of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Claire M FraserInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore.
Peter RockDepartment of Anesthesiology, University of Maryland School of Medicine, Baltimore.
Nauder FaradayDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins Medicine · USUniversity of Maryland, Baltimore · USCenter for Drug Evaluation and Research · USNational Institutes of Health · USUniversity of Chicago · US

Funding

Technology CoreU19AI110820 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI DUNNING HOTOPP, JULIE · 2014 to 2023
$36.5M
NIAID NIH HHS U19 AI110820
6 · The paper itself

Abstract

Importance: The association of the nasal microbiome with outcomes in surgical patients is poorly understood. Objective: 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. Exposures: 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. Main Outcomes and Measures: Composite of surgical site infection, bacteremia, and pneumonia occurring within 6 months after surgical procedure. Results: 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). Conclusions and Relevance: 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.

Indexed as

MicrobiotaAgedBacteremiaCardiac Surgical ProceduresCase-Control StudiesCraniotomyElective Surgical ProceduresFemaleHumansMaleMiddle AgedNosePneumoniaPostoperative ComplicationsRisk AssessmentRisk FactorsRNA, Ribosomal, 16S

Identifiers

PMID33914049
PMCPMC8085724
OpenAlexW3158161721

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.