Evidence map›Paper›PMID 34689255›Full record

ArticleAnnals of intensive care2021

Comparison of prognostic factors between bacteraemic and non-bacteraemic critically ill immunocompetent patients in community-acquired severe pneumococcal pneumonia: a STREPTOGENE sub-study.

Hugo Bellut, Raphael Porcher, Emmanuelle Varon, Pierre Asfar, Yves Le Tulzo, Bruno Megarbane, Armelle Mathonnet, Anthony Dugard, Anne Veinstein, Kader Ouchenir and 13 more

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

23 authors at 20 institutions in 1 country.

Hugo BellutRéanimation Médico‑Chirurgicale, Hôpital A. Mignot, CH Versailles, 177 Rue de Versailles, 78157, Le Chesnay, France. hbellut@gmail.com.ORCID http://orcid.org/0000-0002-9479-5507
Raphael PorcherCentre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS‑UMR1153), Inserm, Centre d'épidémiologie clinique, Centre Equator France, Hôpital Hôtel-Dieu, Université Paris Descartes, 75004, Paris, France.
Emmanuelle VaronLaboratoire de Microbiologie, Centre National de Référence des Pneumocoques, AP-HP Hôpital Européen Georges-Pompidou, 75908, Paris Cedex 15, France.
Pierre AsfarRéanimation Médicale, CHU Angers, 49933, Angers Cedex 9, France.
Yves Le TulzoCHU Rennes, SMIRM, 35033, Rennes Cedex 9, France.
Bruno MegarbaneRéanimation Médicale et Toxicologique, Hôpital Lariboisière, 75010, Paris, France.
Armelle MathonnetRéanimation Polyvalente, Hôpital de La Source, 45067, Orléans Cedex 2, France.
Anthony DugardRéanimation Polyvalente, CHU Dupuytren, 87042, Limoges, France.
Anne VeinsteinRéanimation, CHU Jean Bernard, 86021, Poitiers Cedex, France.
Kader OuchenirRéanimation, Hôpital Louis Pasteur, 28018, Chartres Cedex, France.
Shidasp SiamiRéanimation Polyvalente, CH Sud Essonne, 91152, Etampes Cedex 02, France.
Jean ReignierRéanimation Médicale, CHU Nantes, 44093, Nantes Cedex 1, France.
Arnaud GalboisRéanimation Médicale, Hôpital St Antoine, 75012, Paris, France.
Joël CoussonRéanimation Polyvalente, Hôpital Robert Debré, 51092, Reims Cedex, France.
Sébastien PreauRéanimation, Hôpital A. Calmette, 59037, Lille Cedex, France.
Olivier BaldesiRéanimation, CH du Pays d'Aix, 13616, Aix En Provence, France.
Jean-Philippe RigaudRéanimation Polyvalente, CH Dieppe, 76202, Dieppe Cedex, France.
Bertrand SouweineRéanimation Médicale, CHU Gabriel Montpied, 63000, Clermont Ferrand, France.
Benoit MissetRéanimation, Hôpital Saint Joseph, 75014, Paris, France.
Frederic JacobsRéanimation Médicale, Hôpital Antoine Béclère, 92140, Clamart, France.
Florent DewavrinRéanimation, CH Valenciennes, 59300, Valenciennes, France.
Jean-Paul MiraRéanimation Médicale, Hôpital Cochin, 75679, Paris Cedex 14, France.
Jean-Pierre BedosRéanimation Médico‑Chirurgicale, Hôpital A. Mignot, CH Versailles, 177 Rue de Versailles, 78157, Le Chesnay, France.
Assistance Publique – Hôpitaux de Paris · FRHôpital André Mignot · FRCentre Hospitalier de Valenciennes · FRCentre Hospitalier du Pays d'Aix · FRCentre Hospitalier Sud-Essonne Dourdan-Etampes · FRCentre Hospitalier Universitaire d'Angers · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FRCentre Hospitalier Universitaire de Nantes · FRCentre Hospitalier Universitaire de Poitiers · FRCentre Hospitalier Universitaire de Reims · FRCentre Hospitalier Universitaire de Rennes · FRCentre hospitalier universitaire d'Orléans · FRCentre Médical de La Teppe · FRDélégation Paris 5 · FRHôpital Albert Calmette · FRHôpital Cochin · FRHôpital Dupuytren · FRHôpital Lariboisière · FRHôpital Saint Joseph · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of bacteraemia in pneumococcal pneumonia in critically ill patients does not appear to be a strong independent prognostic factor in the existing literature. However, there may be a specific pattern of factors associated with mortality for ICU patients with bacteraemic pneumococcal community-acquired pneumonia (CAP). We aimed to compare the factors associated with mortality, according to the presence of bacteraemia or not on admission, for patients hospitalised in intensive care for severe pneumococcal CAP.

methodsThis was a post hoc analysis of data from the prospective, observational, multicentre STREPTOGENE study in immunocompetent Caucasian adults admitted to intensive care in France between 2008 and 2012 for pneumococcal CAP. Patients were divided into two groups based on initial blood culture (positive vs. negative) for Streptococcus pneumoniae. The primary outcome was hospital mortality, which was compared between the two groups using odds ratios according to predefined variables to search for a prognostic interaction present in bacterial patients but not non-bacteraemic patients. Potential differences in the distribution of serotypes between the two groups were assessed. The prognostic consequences of the presence or not of initial bi-antibiotic therapy were assessed, specifically in bacteraemic patients.

resultsAmong 614 included patients, 274 had a blood culture positive for S. pneumoniae at admission and 340 did not. The baseline difference between the groups was more frequent leukopaenia (26% vs. 14%, p = 0.0002) and less frequent pre-hospital antibiotic therapy (10% vs. 16.3%, p = 0.024) for the bacteraemic patients. Hospital mortality was not significantly different between the two groups (p = 0.11). We did not observe any prognostic factors specific to the bacteraemic patient population, as the statistical comparison of the odds ratios, as an indication of the association between the predefined prognostic parameters and mortality, showed them to be similar for the two groups. Bacteraemic patients more often had invasive serotypes but less often serotypes associated with high case fatality rates (p = 0.003). The antibiotic regimens were similar for the two groups. There was no difference in mortality for patients in either group given a beta-lactam alone vs. a beta-lactam combined with a macrolide or fluoroquinolone.

conclusionBacteraemia had no influence on the mortality of immunocompetent Caucasian adults admitted to intensive care for severe pneumococcal CAP, regardless of the profile of the associated prognostic factors.

Indexed as

FluoroquinolonesMacrolidesPneumococcal bacteraemiaPneumococcal pneumoniaSevere community-acquired pneumonia

Identifiers

PMID34689255
PMCPMC8542522
OpenAlexW3209102136

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.