Evidence map›Paper›PMID 40034473›Full record

ArticleInfection prevention in practice2025

Optimizing epidemic prevention in nursing homes using clinical surveillance of respiratory infections.

Philippe Gaspard, Martin Martinot

Abstract read
In one paragraph

Article in Infection prevention in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. [Recommendations on prevention and treatment of respiratory infections in institutionalised older people].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
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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

2 authors.

Philippe GaspardHospital Hygiene Service, Rouffach Hospital Center, Rouffach, France.
Martin MartinotDepartment of Infectious Diseases, Colmar Civil Hospital, Colmar, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory tract infections (RTIs) pose a significant risk in nursing homes (NHs), which makes surveillance crucial for timely intervention. Aim: To monitor the impacts of seasonal RTIs in NHs, which include frequency, the use of rapid diagnostic tests and antibiotics, mortality, and cluster dynamics, with the use of clinical surveillance. Methods: During the winter periods from 2015 to 2019 (22 weeks), data on general signs (GSs), and respiratory signs (RSs) were collected to define three respiratory clinical sign patterns (CSPs): GS+/RS+, GS-/RS+, and GS+/RS-. Clusters (≥2 cases) were identified and classified into three intensity levels, namely, L1, L2, and L3 (2, 3-5, and ≥6 GS+/RS+/4 days, respectively). CSP frequencies and the 28-day all-cause mortality were calculated. Findings: In 13 NHs (N = 3,628 resident inclusions, median age: 87.2 years), 1,538 GS+/RS+, 1,482 GS-/RS+, and 233 GS+/RS- cases were observed, with mortality rates of 8.5%, 2.8%, and 6%, respectively. Among the GS+/RS+ cases, 63% received an antimicrobials. GS+/RS+ cluster analysis identified 141 clusters with L1, 100 with L2, and 26 with L3.A total of 209 rapid diagnostic tests for influenza were carried out, with 72.2% conducted in L2 or L3 clusters. Within clusters, the first case must be identified promptly with rapid outbreak development taking place within the first 2-3 days, and potentially less effective containment efforts following delayed detection. Conclusion: Clinical surveillance is a comprehensive method that can be utilized for the rapid implementation of preventive measures and appropriate use of antibiotics.

Indexed as

Airborne virusClustersDisease outbreaksGeriatricsInfluenzaNursing home

Identifiers

PMID40034473
PMCPMC11874540

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Registered trials

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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.