Evidence map›Paper›PMID 32853675›Full record

ArticleInternational journal of antimicrobial agents2020

Predictive factors for cardiac conduction abnormalities with hydroxychloroquine-containing combinations for COVID-19.

Sergio Padilla, Guillermo Telenti, Lucía Guillén, José A García, Javier García-Abellán, Carolina Ding, Antonia Mora, Eduardo García-Pachón, Félix Gutiérrez, Mar Masiá and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of antimicrobial agents, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Hydroxychloroquine, QTc prolongation and risk of torsades de pointes.Archives of medical sciences. Atherosclerotic diseases · 2023
    Article
  3. Article
  4. Review
  5. Disease-drug and drug-drug interaction in COVID-19: Risk and assessment.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  6. Review
  7. 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

11 authors at 2 institutions in 1 country.

Sergio PadillaInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain; Universidad Miguel Hernández de Elche, Alicante, Spain. Electronic address: sergiopadurr@gmail.com.
Guillermo TelentiInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain.
Lucía GuillénInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain.
José A GarcíaStatistics, Operational Research Center, Universidad Miguel Hernández, Elche, Alicante, Spain.
Javier García-AbellánInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain.
Carolina DingInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain.
Antonia MoraInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain.
Eduardo García-PachónSection of Respiratory Medicine, Hospital General Universitario de Elche, Alicante, Spain.
Félix GutiérrezInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain; Universidad Miguel Hernández de Elche, Alicante, Spain. Electronic address: gutierrezfel@gmail.com.
Mar MasiáInternal Medicine and Infectious Diseases Unit, Hospital General Universitario de Elche, Alicante, Spain; Universidad Miguel Hernández de Elche, Alicante, Spain.
COVID19-Elx Group
Hospital General Universitario de Elche · ESUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This longitudinal, prospective cohort study aimed to assess risk of QTc interval prolongation and its predicting factors in subjects treated with combinations containing hydroxychloroquine (HCQ) for COVID-19. Moderate-to-severe QTc prolongation during therapy was defined as a QTc interval >470 ms in men or >480 ms in women. Patients were treated under strict cardiac supervision. A total of 105 adults were included [56% male; median (IQR) age 69 (57-79) years]. All patients received therapy with HCQ in combination with azithromycin (AZM), and 95 (90%) also with lopinavir/ritonavir (LPV/r). Concomitant medications classified as having risk of developing torsades de pointes (TdP) were simultaneously used in 81 patients (77%). Moderate-to-severe QTc prolongation was observed in 14 patients (13%), mostly at Days 3-5 from baseline, with 6 (6%) developing severe prolongation (>500 ms). There was no evidence of TdP arrhythmia or TdP-associated death. Adding LPV/r to HCQ+AZM did not significantly prolong the QTc interval. Multivariable Cox regression revealed that comedications with known risk of TdP (HR = 11.28, 95% CI 1.08-117.41), higher neutrophil-to-lymphocyte (NLR) ratio (HR = 1.10, 95% CI 1.03-1.18 per unit increase) and higher serum hs-cardiac troponin I (HR = 4.09, 95% CI 1.36-12.2 per unit increase) were major contributors to moderate-to-severe QTc prolongation. In this closely screened and monitored cohort, no complications derived from QTc prolongation were observed during pharmacological therapy containing HCQ for COVID-19. Evidence of myocardial injury with elevated troponin and strong inflammatory response, specifically higher NLR, are conditions requiring careful QTc interval monitoring.

Indexed as

AgedAnti-Infective AgentsAzithromycinBetacoronavirusBiomarkersCoronavirus InfectionsCOVID-19Disease ProgressionDrug CombinationsFemaleHumansHydroxychloroquineIntensive Care UnitsLong QT SyndromeLopinavirLymphocytesAnti-Infective AgentsAzithromycinBiomarkersDrug CombinationsHydroxychloroquineLopinavirlopinavir-ritonavir drug combinationRitonavirTroponin IAzithromycinCOVID-19HydroxychloroquineLopinavir/ritonavirQT intervalTroponin

Identifiers

PMID32853675
PMCPMC7444635
OpenAlexW3081084111

What OpenQuestion holds

Textmetadata
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.