Evidence map›Paper›PMID 35056135›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

A Case-Control of Patients with COVID-19 to Explore the Association of Previous Hospitalisation Use of Medication on the Mortality of COVID-19 Disease: A Propensity Score Matching Analysis.

Jaime Monserrat Villatoro, Gina Mejía-Abril, Lucía Díaz García, Pablo Zubiaur, María Jiménez González, Guillermo Fernandez Jimenez, Inés Cancio, José Ramón Arribas, Carmen Suarez Fernández, Jesús Mingorance and 8 more

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 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
–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

6 citing papers in PubMed.

  1. Observational
  2. Observational
  3. Article
  4. Observational
  5. Review
  6. Review
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

18 authors.

Jaime Monserrat VillatoroClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.ORCID 0000-0002-9100-3324
Gina Mejía-AbrilClinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Faculty of Medicine, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain.
Lucía Díaz GarcíaClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.
Pablo ZubiaurClinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Faculty of Medicine, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain.ORCID 0000-0002-6150-4320
María Jiménez GonzálezClinical Trial Unit, La Paz University Hospital-IdiPAZ, 28046 Madrid, Spain.ORCID 0000-0003-4925-731X
Guillermo Fernandez JimenezMedical Information Unit, Instituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, 28006 Madrid, Spain.
Inés CancioMedical Information Unit, Instituto de Investigación Sanitaria La Princesa (IP), Hospital Universitario de La Princesa, 28006 Madrid, Spain.
José Ramón ArribasInternal Medicine Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.
Carmen Suarez FernándezInternal Medicine Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid, 28006 Madrid, Spain.
Jesús MingoranceMicrobiology Department, La Paz University Hospital-IdiPAZ, 28046 Madrid, Spain.ORCID 0000-0001-6173-5711
Julio García RodríguezMicrobiology Department, La Paz University Hospital-IdiPAZ, 28046 Madrid, Spain.ORCID 0000-0002-3771-8740
José Ramón Villagrasa FerrerPreventive Medicine Department, Hospital Universitario de La Princesa, Faculty of Medicine, Instituto de Investigación Sanitaria La Princesa (IP), Universidad Autónoma de Madrid (UAM), 28006 Madrid, Spain.
Antonio J CarcasClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.ORCID 0000-0003-1823-4174
Jesús FríasClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.
Francisco Abad-SantosClinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Faculty of Medicine, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), 28006 Madrid, Spain.ORCID 0000-0002-6519-8885
Alberto M BorobiaClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.ORCID 0000-0002-8584-3263
Elena RamírezClinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Universidad Autónoma de Madrid, 28046 Madrid, Spain.ORCID 0000-0002-4052-8876
On Behalf Of The Covid Hulp Working Group And Other Collaborators From Hospital Universitario de la Princesa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data from several cohorts of coronavirus disease 2019 (COVID-19) suggest that the most common comorbidities for severe COVID-19 disease are the elderly, high blood pressure, and diabetes; however, it is not currently known whether the previous use of certain drugs help or hinder recovery. This study aims to explore the association of previous hospitalisation use of medication on the mortality of COVID-19 disease. A retrospective case-control from two hospitals in Madrid, Spain, included all patients aged 18 years or above hospitalised with a diagnosis of COVID-19. A Propensity Score matching (PSM) analysis was performed. Confounding variables were considered to be age, sex, and the number of comorbidities. Finally, 3712 patients were included. Of these, 687 (18.5%) patients died (cases). The 22,446 medicine trademarks used previous to admission were classified according to the ATC, obtaining 689 final drugs; all of them were included in PSM analysis. Eleven drugs displayed a reduction in mortality: azithromycin, bemiparine, budesonide-formoterol fumarate, cefuroxime, colchicine, enoxaparin, ipratropium bromide, loratadine, mepyramine theophylline acetate, oral rehydration salts, and salbutamol sulphate. Eight final drugs displayed an increase in mortality: acetylsalicylic acid, digoxin, folic acid, mirtazapine, linagliptin, enalapril, atorvastatin, and allopurinol. Medication associated with survival (anticoagulants, antihistamines, azithromycin, bronchodilators, cefuroxime, colchicine, and inhaled corticosteroids) may be candidates for future clinical trials. Drugs associated with mortality show an interaction with the underlying conditions.

Indexed as

coronavirus disease 2019 (COVID-19)hospitalisationmortalityprevious medicationpropensity score matching analysisrisk factorsevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID35056135
PMCPMC8780256

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Registered trials

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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.