Evidence map›Paper›PMID 25550820›Full record

ArticleInternational journal of clinical and experimental pathology2014

Neutrophil CD64 expression is a predictor of mortality for patients in the intensive care unit.

Qiqi Chen, Junfeng Shi, Aihua Fei, Feilong Wang, Shuming Pan, Weiwei Wang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Neutrophil CD64 a Diagnostic and Prognostic Marker of Sepsis in Adult Critically Ill Patients: A Brief Review.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Review
  10. Article
  11. Association of the early absolute CD64-expressing neutrophil count and sepsis outcome.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  12. Review
  13. Review
  14. [CD64 index as a marker of infection in patients with postoperative fever].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2018
    Observational
  15. Determination of neutrophil CD64 expression as a prognostic biomarker in patients with community-acquired pneumonia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Article
  16. Article
  17. Review
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

6 authors at 1 institution in 1 country.

Qiqi ChenDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University Medical College Shanghai, China.
Junfeng ShiDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University Medical College Shanghai, China.
Aihua FeiDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University Medical College Shanghai, China.
Feilong WangDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University Medical College Shanghai, China.
Shuming PanDepartment of Emergency, Xinhua Hospital, Shanghai Jiaotong University Medical College Shanghai, China.
Weiwei WangDepartment of Clinical Laboratory, Xin Hua Hospital, Shanghai Jiaotong University School of Medicine Shanghai 200092, China.
XinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil CD64 has been shown to be a promising biomarker for bacterial infection and sepsis identification. However, the prognostic value of CD64 in predicting the likelihood of survival for patients in intensive care unit (ICU) is unclear.

methodsA total of 797 patients in the ICU of Xin-Hua Hospital, Shanghai, China were enrolled. We determined the Acute Physiology and Chronic Health Evaluation II (APACHE II) scores from these patients and collected blood samples to measure the levels of neutrophil CD64, thyroid hormone and C-reactive protein (CRP). We assessed the association between APACHE II scores or these biomarkers and mortality of patients in the ICU. Receiver operating characteristic (ROC) curves were generated and the Area Under the Curve (AUC) for each indicator was determined.

resultsThe AUC for CD64 was 0.752 ± 0.026, which was higher than that of FT3 (0.696 ± 0.028) and CRP (0.672 ± 0.026). APACHE II scores had the highest AUC (0.872 ± 0.018). The level of neutrophil CD64 expression positively associated with CRP and APACHE II, and negatively correlated with FT3. Multiple regression analysis revealed that APACHE II scores (Standard β value = 0.183, P < 0.001), CD64 (Standard β value = 0.518, P < 0.001) or log (CRP) (Standard β value = 1.203, P < 0.001) independently predicted ICU mortality.

conclusionCD64 had the greatest power for predicting ICU mortality other than APACHE II scores. This result indicates that CD64 may be used as a biomarker to in combination with the use of APACHE II scores to improve the accuracy of predicting mortality outcome for patients in the ICU.

Indexed as

AgedAged, 80 and overBiomarkersCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedNeutrophilsPredictive Value of TestsPrognosisProspective StudiesReceptors, IgGThyroid HormonesBiomarkersReceptors, IgGThyroid HormonesICUmortalityNeutrophil CD64predictor

Identifiers

PMID25550820
PMCPMC4270525
OpenAlexW1450674763

What OpenQuestion holds

Textmetadata
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.