Evidence map›Paper›PMID 39227756›Full record

ArticleBMC infectious diseases2024

Comparison of performances between risk scores for predicting mortality at 30 days in patients with community acquired pneumonia.

Eduardo Tuta-Quintero, Alirio Rodrigo Bastidas Goyes, Gabriela Guerrón-Gómez, María C Martínez, Daniela Torres, Carolina Schloss, Julian Camacho, Gabriela Bonilla, Daniela Cepeda, Paula Romero and 6 more

Abstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. 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

16 authors.

Eduardo Tuta-QuinteroSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Alirio Rodrigo Bastidas GoyesSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia. alirio.bastidas@unisabana.edu.co.ORCID https://orcid.org/0000-0002-8873-9779
Gabriela Guerrón-GómezSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
María C MartínezSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Daniela TorresSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Carolina SchlossSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Julian CamachoSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Gabriela BonillaSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Daniela CepedaSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Paula RomeroSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Yuli FuentesSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Esteban GarciaMaster's Student in Epidemiology, Universidad de La Sabana, Chía, Colombia.
David AcostaSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Santiago RodríguezSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
David AlvarezSchool of Medicine, Universidad de La Sabana. Km 7, Autonorte de Bogota, Chía, Cundinamarca, 250001, Colombia.
Luis F ReyesUnisabana Center for Translational Science, Universidad de La Sabana, Chía, Colombia.

Funding

Universidad de La Sabana MED-326-2022
6 · The paper itself

Abstract

backgroundRisk scores facilitate the assessment of mortality risk in patients with community-acquired pneumonia (CAP). Despite their utilities, there is a scarcity of evidence comparing the various RS simultaneously. This study aims to evaluate and compare multiple risk scores reported in the literature for predicting 30-day mortality in adult patients with CAP.

methodsA retrospective cohort study on patients diagnosed with CAP was conducted across two hospitals in Colombia. The areas under receiver operating characteristic curves (ROC-curves) were calculated for the outcome of survival or death at 30 days using the scores obtained for each of the analyzed questionnaires.

resultsA total of 7454 potentially eligible patients were included, with 4350 in the final analysis, of whom 15.2% (662/4350) died within 30 days. The average age was 65.4 years (SD: 21.31), and 59.5% (2563/4350) were male. Chronic kidney disease was 3.7% (9.2% vs. 5.5%; p < 0.001) (OR: 1.85) higher in subjects who died compared to those who survived. Among the patients who died, 33.2% (220/662) presented septic shock compared to 7.3% (271/3688) of the patients who survived (p < 0.001). The best performances at 30 days were shown by the following scores: PSI, SMART-COP and CURB 65 scores with the areas under ROC-curves of 0.83 (95% CI: 0.8-0.85), 0.75 (95% CI: 0.66-0.83), and 0.73 (95% CI: 0.71-0.76), respectively. The RS with the lowest performance was SIRS with the area under ROC-curve of 0.53 (95% CI: 0.51-0.56).

conclusionThe PSI, SMART-COP and CURB 65, demonstrated the best diagnostic performances for predicting 30-day mortality in patients diagnosed with CAP. The burden of comorbidities and complications associated with CAP was higher in patients who died.

Indexed as

Community-Acquired InfectionsPneumoniaROC CurveAdultAgedAged, 80 and overColombiaFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsMortalityObservational studyPneumoniaRisk score

Identifiers

PMID39227756
PMCPMC11370103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.