Evidence map›Paper›PMID 34124411›Full record

ArticleClinical epidemiology and global health

Prognostic value of inflammatory markers in patients with COVID-19 in Indonesia.

Ignatius Bima Prasetya, Cucunawangsih, Jane Olivia Lorens, Veli Sungono, Korri Elvanita El-Khobar, Ratna Sari Wijaya

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology and global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
1.4field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  9. The Role of Hemogram-derived Ratios in COVID-19 Severity Stratification in a Primary Healthcare Facility.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023
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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 2 institutions in 1 country.

Ignatius Bima PrasetyaDepartment of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.
CucunawangsihDepartment of Microbiology, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.
Jane Olivia LorensDepartment of Internal Medicine, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.
Veli SungonoDepartment of Microbiology, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.
Korri Elvanita El-KhobarEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Ratna Sari WijayaDepartment of Microbiology, Faculty of Medicine, Pelita Harapan University, Tangerang, Indonesia.
Pelita Harapan University · IDEijkman Institute for Molecular Biology · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsCoronavirus disease 2019 (COVID-19) has a wide clinical spectrum, ranging from asymptomatic infection to severe diseases with high mortality rate. Early identification of high-risk COVID-19 patients may be beneficial to reduce morbidity and in-hospital mortality. This study aimed to investigate whether baseline levels of inflammatory markers such as C-reactive protein (CRP) and immune-cell-based inflammatory indices, neutrophil to lymphocyte ratio (NLR), derived-NLR (d-NLR), and platelet to lymphocyte ratio (PLR) at hospital admission are associated with adverse disease outcomes in COVID-19 patients.

methodsClinical data from 391 hospitalized COVID-19 patients in three Siloam Hospitals in Indonesia were retrospectively collected and analysed from March 20 to October 30, 2020.

resultsFifty-four (13.8%) hospitalized patients had clinical deterioration and required ICU treatment, categorizing them as severe COVID-19 cases. Older age, presence of underlying diseases, and increased inflammatory markers values at admission were significantly associated with severe cases. After adjustment of sociodemographic and comorbidities factors, CRP, NLR, and d-NLR values, but not PLRs, were identified as independent risk factors for disease severity and death in COVID-19 patients. The area under curve (AUC) of CRP, NLR, and d-NLR were 0.854, 0.848, and 0.854, respectively. The optimal cut-off points for CRP, NLR, and d-NLR for identification of COVID-19 patients with potential worse disease outcomes were 47 mg/L, 6, and 4, respectively.

conclusionInitial assessment of CRP, NLR, and d-NLR values at hospital admission may be important predictors for adverse disease outcomes in COVID-19 patients.

Indexed as

COVID-19C-reactive proteinNeutrophil to lymphocyte ratioRisk factors

Identifiers

PMID34124411
PMCPMC8186126
OpenAlexW3168058337

What OpenQuestion holds

Textmetadata
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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.