Evidence map›Paper›PMID 35310845›Full record

ArticleFrontiers in cellular and infection microbiology2022

Inflammation/Coagulopathy/Immunology Responsive Index Predicts Poor COVID-19 Prognosis.

Hui An, Jitai Zhang, Ting Li, Yuxin Hu, Qian Wang, Chengshui Chen, Binyu Ying, Shengwei Jin, Ming Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Persistent CD19Frontiers in cellular and infection microbiology · 2024
    Article
  5. Review
  6. 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

9 authors at 3 institutions in 1 country.

Hui AnThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China.
Jitai ZhangSchool of Basic Medical Science, Wenzhou Medical University, Wenzhou, China.
Ting LiThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China.
Yuxin HuSchool of Basic Medical Science, Wenzhou Medical University, Wenzhou, China.
Qian WangSchool of Basic Medical Science, Wenzhou Medical University, Wenzhou, China.
Chengshui ChenDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Binyu YingDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Shengwei JinThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China.
Ming LiThe Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang, China.
Wenzhou Medical University · CNSecond Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the early stage of coronavirus disease 2019 (COVID-19), most cases are identified as mild or moderate illnesses. Approximately 20% of hospitalised patients become severe or critical at the middle or late stage of the disease. The predictors and risk factors for prognosis in those with mild or moderate disease remain to be determined. Of 694 patients with COVID-19, 231 patients with mild or moderate disease, who were hospitalised at 10 hospitals in Wenzhou and nearby counties in China, were enrolled in this retrospective study from 17 January to 20 March 2020. The outcomes of these patients included progression from mild/moderate illness to severe or critical conditions. Among the 231 patients, 49 (21.2%) had a poor prognosis in the hospital. Multivariate logistic regression analysis showed that higher inflammation/coagulopathy/immunology responsive index (ICIRI=[c-reactive protein × fibrinogen × D-dimer]/CD8 T cell count) on admission (OR=345.151, 95% CI=23.014-5176.318) was associated with increased odds ratios for poor prognosis. The area under the receiver operating characteristic curve for ICIRI predicting severe and critical condition progression was 0.65 (95% CI=0.519-0.782) and 0.80 (95% CI=0.647-0.954), with cut-off values of 870.83 and 535.44, respectively. Conversely, age, sex, comorbidity, neutrophil/lymphocyte ratio, CD8 T cell count, and c-reactive protein, fibrinogen, and D-dimer levels alone at admission were not good predictors of poor prognosis in patients with mild or moderate COVID-19. At admission, a novel index, ICIRI, tends to be the most promising predictor of COVID-19 progression from mild or moderate illness to severe or critical conditions.

Indexed as

COVID-19Blood Coagulation DisordersCD8-Positive T-LymphocytesC-Reactive ProteinFibrin Fibrinogen Degradation ProductsFibrinogenHumansInflammationRetrospective StudiesROC CurveC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DFibrinogenCOVID-19critical patientinflammation/coagulopathy/Immunology responsive indexmoderatepredictsevere

Identifiers

PMID35310845
PMCPMC8930906
OpenAlexW4214850558

What OpenQuestion holds

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LicenceCC BY
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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.