Evidence map›Paper›PMID 35051925›Full record

ArticleKidney & blood pressure research2022

Can Renal Parameters Predict the Mortality of Hospitalized COVID-19 Patients?

Eli Zolotov, Anat Sigal, Martin Havrda, Karolína Jeřábková, Karolína Krátká, Nikola Uzlová, Ivan Rychlík

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Article in Kidney & blood pressure research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Eli ZolotovInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia, elizolotov@gmail.com.
Anat SigalThird Faculty of Medicine, Charles University, Prague, Czechia.
Martin HavrdaInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia.
Karolína JeřábkováInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia.
Karolína KrátkáInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia.
Nikola UzlováInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia.
Ivan RychlíkInternal Medicine Department, Faculty Hospital Královské Vinohrady, Prague, Czechia.
Charles University · CZUniversity Hospital Kralovske Vinohrady · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOur study aimed to analyze whether renal parameters can predict mortality from COVID-19 disease in hospitalized patients.

methodsThis retrospective cohort includes all adult patients with confirmed COVID-19 disease who were consecutively admitted to the tertiary hospital during the 4-month period (September 1 to December 31, 2020). We analyzed their basic laboratory values, urinalysis, comorbidities, length of hospitalization, and survival. The RIFLE and KDIGO criteria were used for AKI and CKD grading, respectively. To display renal function evolution and the severity of renal damage, we subdivided patients further into 6 groups as follows: group 1 (normal renal function), group 2 (CKD grades 2 + 3a), group 3 (AKI-DROP defined as whose s-Cr level dropped by >33.3% during the hospitalization), group 4 (CKD 3b), group 5 (CKD 4 + 5), and group 6 (AKI-RISE defined as whose s-Cr level was elevated by ≥50% within 7 days or by ≥26.5 μmol/L within 48 h during hospitalization). Then, we used eGFR on admission independently of renal damage to check whether it can predict mortality. Only 4 groups were used: group I - normal renal function (eGFR > 1.5 mL/s), group II - mild renal involvement (eGFR 0.75-1.5), group III - moderate (eGFR 0.5-0.75), and group IV - severe (GFR <0.5).

resultsA total of 680 patients were included in our cohort; among them, 244 patients displayed normal renal function, 207 patients fulfilled AKI, and 229 patients suffered from CKD. In total, a significantly higher mortality rate was found in the AKI and the CKD groups versus normal renal function - 37.2% and 32.3% versus 9.4%, respectively (p < 0.001). In addition, the groups 1-6 divided by severity of renal damage reported mortality of 9.4%, 21.2%, 24.1%, 48.7%, 62.8%, and 55.1%, respectively (p < 0.001). The mean hospitalization duration of alive patients with normal renal findings was 9.5 days, while it was 12.1 days in patients with any renal damage (p < 0.001). When all patients were compared according to eGFR on admission, the mortality was as follows: group I (normal) 9.8%, group II (mild) 22.1%, group III (moderate) 40.9%, and group IV (severe) 50.5%, respectively (p < 0.001). It was a significantly better mortality predictor than CRP on admission (AUC 0.7053 vs. 0.6053).

conclusionsMortality in patients with abnormal renal function was 3 times higher compared to patients with normal renal function. Also, patients with renal damage had a worse and longer hospitalization course. Lastly, eGFR on admission, independently of renal damage type, was an excellent tool for predicting mortality. Further, the change in s-Cr levels during hospitalization reflected the mortality prognosis.

Indexed as

Acute Kidney InjuryCOVID-19Renal Insufficiency, ChronicAdultFemaleHospital MortalityHumansKidneyMaleRetrospective StudiesRisk FactorsAcute kidney injuryChronic kidney diseaseCoronavirus disease 2019Estimated glomerular filtration ratePrognosis

Identifiers

PMID35051925
PMCPMC9059033
OpenAlexW4206110099

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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.