Evidence map›Paper›PMID 36266451›Full record

ArticleScientific reports2022

Remnant cholesterol levels are associated with severity and death in COVID-19 patients.

Bibiana Fabre, Nahuel Fernandez Machulsky, Carolina Olano, Darío Jacobsen, María Eugenia Gómez, Beatriz Perazzi, Valeria Zago, Damián Zopatti, Andrés Ferrero, Laura Schreier and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. The prognostic significance of insulin resistance in COVID-19: a review.Journal of diabetes and metabolic disorders · 2024
    Review
  5. 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

11 authors.

Bibiana FabreDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Nahuel Fernandez MachulskyDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Carolina OlanoDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Darío JacobsenDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
María Eugenia GómezDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Beatriz PerazziDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Valeria ZagoDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Damián ZopattiFacultad de Medicina, Dirección de Estadística y Archivo Médico, Hospital de Clínicas José de San Martin, Universidad de Buenos Aires, Buenos Aires, Argentina.
Andrés FerreroFacultad de Medicina, Director Adjunto Hospital de Clínicas José de San Martin, Universidad de Buenos Aires, Buenos Aires, Argentina.
Laura SchreierDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina.
Gabriela BergDepartamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Cátedra de Bioquímica Clínica I, Junín 956 (C1113AAD), Buenos Aires, Argentina. gaberg@ffyb.uba.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) patients with severe complications present comorbidities like cardiovascular-disease, hypertension and type-2 diabetes mellitus (DM), sharing metabolic alterations like insulin resistance (IR) and dyslipidemia. Our objective was to evaluate the association among different components of the lipid-lipoprotein profile, such as remnant lipoprotein (RLP)-cholesterol, in patients with COVID-19, and to analyze their associations with the severity of the disease and death. We studied 193 patients (68 (29-96) years; 49.7% male) hospitalized for COVID-19 and 200 controls (46 (18-79) years; 52.5% male). Lipoprotein profile, glucose and procalcitonin were assessed. Patients presented higher glucose, TG, TG/HDL-cholesterol and RLP-cholesterol levels, but lower total, LDL, HDL and no-HDL-cholesterol levels (p < 0.001). When a binary logistic regression was performed, age, non-HDL-cholesterol, and RLP-cholesterol were associated with death (p = 0.005). As the COVID-19 condition worsened, according to procalcitonin tertiles, a decrease in all the cholesterol fractions (p < 0.03) was observed with no differences in TG, while levels of RLP-cholesterol and TG/HDL-cholesterol increased (p < 0.001). Lower levels of all the cholesterol fractions were related with the presence and severity of COVID-19, except for RLP-cholesterol levels and TG/HDL-cholesterol index. These alterations indicate a lipid metabolic disorder, characteristic of IR states in COVID-19 patients. RLP-cholesterol levels predicted severity and death in these patients.

Indexed as

CholesterolCOVID-19AdolescentAdultAgedAged, 80 and overCholesterol, HDLFemaleGlucoseHumansLipoproteinsMaleMiddle AgedProcalcitoninTriglyceridesYoung AdultCholesterolCholesterol, HDLGlucoseLipoproteinsProcalcitoninTriglycerides

Identifiers

PMID36266451
PMCPMC9584251

What OpenQuestion holds

Textmetadata
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.