Evidence map›Paper›PMID 36197180›Full record

ArticleMedicine2022

Serum creatinine to absolute lymphocyte count ratio effectively risk stratifies patients who require intensive care in hospitalized patients with coronavirus disease 2019.

Jinghao Nicholas Ngiam, Tze Sian Liong, Nicholas W S Chew, Tony Yi-Wei Li, Zi Yun Chang, Zhen Yu Lim, Horny Ruey Chua, Sai Meng Tham, Paul Anantharajah Tambyah, Amelia Santosa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

12 authors at 1 institution in 5 countries.

Jinghao Nicholas NgiamDivision of Infectious Diseases, National University Health System, Singapore.ORCID 0000-0002-3339-7281
Tze Sian LiongDepartment of Medicine, National University Health System, Singapore.
Nicholas W S ChewDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
Tony Yi-Wei LiDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
Zi Yun ChangDivision of Nephrology, National University Health System, Singapore.
Zhen Yu LimDivision of Nephrology, National University Health System, Singapore.
Horny Ruey ChuaDivision of Nephrology, National University Health System, Singapore.
Sai Meng ThamDivision of Infectious Diseases, National University Health System, Singapore.
Paul Anantharajah TambyahDivision of Infectious Diseases, National University Health System, Singapore.
Amelia SantosaDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Gail Brenda CrossDivision of Infectious Diseases, National University Health System, Singapore.
Ching-Hui SiaDepartment of Cardiology, National University Heart Centre Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with preexisting kidney disease or acute kidney injury had poorer outcomes in coronavirus disease 2019 (COVID-19) illness. Lymphopenia was associated with more severe illness. Risk stratification with simple laboratory tests may help appropriate site patients in a cost-effective manner and ease the burden on healthcare systems. We examined a ratio of serum creatinine level to absolute lymphocyte count at presentation (creatinine-lymphocyte ratio, CLR) in predicting outcomes in hospitalized patients with COVID-19. We analyzed 553 consecutive polymerase chain reaction-positive SARS-COV-2 hospitalized patients. Patients with end-stage kidney disease were excluded. Serum creatinine and full blood count (FBC) examination were obtained within the first day of admission. We examined the utility of CLR in predicting adverse clinical outcomes (requiring intensive care, mechanical ventilation, acute kidney injury requiring renal replacement therapy or death). An optimized cutoff of CLR > 77 was derived for predicting adverse outcomes (72.2% sensitivity, and 83.9% specificity). Ninety-seven patients (17.5%) fell within this cut off. These patients were older and more likely to have chronic medical conditions. A higher proportion of these patients had adverse outcomes (13.4% vs 1.1%, P < .001). On receiver operating curve analyses, CLR predicted patients who had adverse outcomes well (area under curve [AUC] = 0.82, 95%CI 0.72-0.92), which was comparable to other laboratory tests like serum ferritin, C-reactive protein and lactate dehydrogenase. Elevated CLR on admission, which may be determined by relatively simple laboratory tests, was able to reasonably discriminate patients who had experienced adverse outcomes during their hospital stay. This may be a simple and cost-effective means of risk stratification and triage.

Indexed as

Acute Kidney InjuryCOVID-19C-Reactive ProteinCreatinineCritical CareFerritinsHumansL-Lactate DehydrogenaseLymphocyte CountRetrospective StudiesSARS-CoV-2C-Reactive ProteinCreatinineFerritinsL-Lactate Dehydrogenase

Identifiers

PMID36197180
PMCPMC9508945
OpenAlexW4297019161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.