Evidence map›Paper›PMID 39221748›Full record

Observational studyAnnals of medicine2024

Contributions of individual qSOFA elements to assessment of severity and for prediction of mortality.

Qi Guo, Hai-Yan Li, Wei-Dong Song, Ming Li, Xiao-Ke Chen, Hui Liu, Hong-Lin Peng, Hai-Qiong Yu, Nian Liu, Yan-Hong Li and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Qi GuoDepartment of Pulmonary and Critical Care Medicine, Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.ORCID 0000-0001-7684-4072
Hai-Yan LiDepartment of General Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Wei-Dong SongDepartment of Pulmonary and Critical Care Medicine, Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Ming LiDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Xiao-Ke ChenDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Hui LiuDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Hong-Lin PengDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Hai-Qiong YuDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Nian LiuDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Yan-Hong LiDepartment of Pulmonary and Critical Care Medicine, Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Zhong-Dong LüDepartment of Pulmonary and Critical Care Medicine, Shenzhen Hospital, Peking University, Shenzhen, Guangdong, China.
Li-Hua LiangDepartment of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Qing-Zhou ZhaoDepartment of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
Mei JiangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe quick sequential [sepsis-related] organ failure assessment (qSOFA) acts as a prompt to consider possible sepsis. The contributions of individual qSOFA elements to assessment of severity and for prediction of mortality remain unknown.

methodsA total of 3974 patients with community-acquired pneumonia were recruited to an observational prospective cohort study. The area under the receiver operating characteristic curve (AUROC), odds ratio, relative risk and Youden's index were employed to assess discrimination.

resultsRespiratory rate ≥22/min demonstrated the most superior diagnostic value, indicated by largest odds ratio, relative risk and AUROC, and maximum Youden's index for mortality. However, the indices for altered mentation and systolic blood pressure (SBP) ≤100 mm Hg decreased notably in turn. The predictive validities of respiratory rate ≥22/min, altered mentation and SBP ≤100 mm Hg were good, adequate and poor for mortality, indicated by AUROC (0.837, 0.734 and 0.671, respectively). Respiratory rate ≥22/min showed the strongest associations with SOFA scores, pneumonia severity index, hospital length of stay and costs. However, SBP ≤100 mm Hg was most weakly correlated with the indices.

conclusionsRespiratory rate ≥22/min made the greatest contribution to parsimonious qSOFA to assess severity and predict mortality. However, the contributions of altered mentation and SBP ≤100 mm Hg decreased strikingly in turn. It is the first known prospective evidence of the contributions of individual qSOFA elements to assessment of severity and for prediction of mortality, which might have implications for more accurate clinical triage decisions.

Indexed as

Organ Dysfunction ScoresROC CurveAgedAged, 80 and overBlood PressureCommunity-Acquired InfectionsFemaleHumansMaleMiddle AgedPneumoniaPredictive Value of TestsPrognosisProspective StudiesRespiratory RateSepsiscommunity-acquired pneumoniacontributionmortalityqSOFAsepsisseveritytriage

Identifiers

PMID39221748
PMCPMC11370683

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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.