Evidence map›Paper›PMID 39178746›Full record

ArticleEBioMedicine2024

Clinical and laboratory predictors of mpox severity and duration: an Italian multicentre cohort study (mpox-Icona).

Valentina Mazzotta, Silvia Nozza, Simone Lanini, Davide Moschese, Alessandro Tavelli, Roberto Rossotti, Francesco Maria Fusco, Lorenzo Biasioli, Giulia Matusali, Angelo Roberto Raccagni and 10 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in EBioMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07055867 (Epidemiological and Clinical Characteristics of Mpox Outbreak in Equateur, the DR Congo), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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.

NCT07055867 enrolling by invitationnot on this map

Epidemiological and Clinical Characteristics of Mpox Outbreak in Equateur, the DR Congo (Part1)

Typeobservational_patient_registrySponsorOsaka Metropolitan UniversityRan2024 to 2025Enrolled122ConditionsMpox (Monkeypox)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Evaluation of a Novel Multiplex PCR Assay for Vesicular Viruses.International journal of molecular sciences · 2026
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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

20 authors.

Valentina MazzottaClinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Silvia NozzaInfectious Diseases Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
Simone LaniniClinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy; Infectious Diseases Clinic, Department of Medicine (DAME), University of Udine, Udine, Italy.
Davide MoscheseI Division of Infectious Diseases, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy.
Alessandro TavelliIcona Foundation, Milan, Italy. Electronic address: alessandro.tavelli@icona.org.
Roberto RossottiInfectious Diseases Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Francesco Maria FuscoUOC Infezioni Sistemiche e dell'Immunodepresso, AORN Ospedali dei Colli, Naples, Italy.
Lorenzo BiasioliInfectious Diseases Unit, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Giulia MatusaliLaboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Angelo Roberto RaccagniVita-Salute San Raffaele University, Milan, Italy.
Davide MiletoLaboratory of Clinical Microbiology, Virology and Bioemergencies, ASST Fatebenefratelli Sacco, Luigi Sacco Hospital, Milan, Italy.
Chiara MaciVita-Salute San Raffaele University, Milan, Italy.
Giuseppe LapadulaFondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, Monza, Italy.
Antonio Di BiagioInfectious Diseases Unit, Clinic of Infectious Diseases, IRCCS Policlinico San Martino Hospital, University of Genoa, Genoa, Italy.
Luca PipitòInfectious and Tropical Diseases Unit, Azienda Ospedaliera Universitaria Policlinico Paolo Giaccone, Palermo, Italy.
Enrica TamburriniInfectious Diseases Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of the Sacred Heart, Rome, Italy.
Antonella d'Arminio MonforteIcona Foundation, Milan, Italy.
Antonella CastagnaInfectious Diseases Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
Andrea AntinoriClinical Infectious Diseases Department, National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
mpox-Icona study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere and prolonged mpox courses have been described during the 2022-2023 outbreak. Identifying predictors of severe evolution is crucial for improving management and therapeutic strategies. We explored the predictors of mpox severity and tested the association between mpox severity and viral load in biological fluids. We also analysed the predictors of disease duration and kinetics of inflammatory markers and described the viral presence and duration of shedding in biological fluids.

methodsThis multicentre historical cohort study included adults diagnosed with laboratory-confirmed mpox diagnosis between May 2022 and September 2023 at 15 Italian centres. Patients were followed up from the day of diagnosis until clinical recovery. Biological fluids (blood, urine, saliva, and oropharyngeal and rectal swabs) were collected from each subgroup during the course of the disease and after healing. The primary outcomes were disease severity (presence of mucosal involvement, extended rash, or need for hospitalisation) and its association with the cycle threshold value (Ct-value, surrogate of viral load) in biological fluids, using standard linear and linear mixed-effect logistic regression models. Among the secondary outcomes, predictors of disease duration were assessed using a linear regression model.

findingsA total of 541 patients were enrolled, including four (0.74%) women, with a median age of 38 years (IQR 33-44). Among the 235 people living with HIV (PLWH) (43.44%), 22 (4.07%) had a CD4 count lower than 350 cells/μL. Severe mpox was reported in 215 patients (39.74%). No patient died. Multivariable analysis showed that, severe mpox was more likely among Caucasians (OR 1.82; 95% CI 1.14-2.90, p = 0.012) and patients who had an onset of fever (1.95; 1.27-2.99, p = 0.002), lymphadenopathy (2.30; 1.52-3.48, p < 0.001), sore throat (2.14; 1.27-3.59, p = 0.004), and peri-anal lesions (2.91; 1.93-4.37, p < 0.001). There was a significant difference (p = 0.003) between the median Ct-value in the upper respiratory tract for patients presenting with either mild (35.15; IQR 28.77-42.01) or severe infection (31.00; 25.00-42.01). The risk of developing severe disease decreased by approximately 5% per Ct increase (0.95; 0.91-0.98; p = 0.005). The disease lasted longer in the case of proctitis (+4.78 days; 1.95-7.61, p = 0.001), sore throat (+3.12; 0.05-6.20, p = 0.046), extended rash (+3.42; 0.55-6.28, p = 0.020), as well as in PLWH with a low CD4 count (+12.51; 6.79-18.22, p < 0.001).

interpretationThe identification of predictors of severe or prolonged disease and the direct association MPXV Ct-value in the upper respiratory tract and disease severity could be useful in establishing proper management and early treatment of new mpox cases.

fundingICONA Foundation; Italian Ministry of Health "Ricerca Corrente Linea 2", INMI Lazzaro Spallanzani IRCCS.

Indexed as

Severity of Illness IndexViral LoadAdultBiomarkersCohort StudiesFemaleHIV InfectionsHumansItalyMaleMiddle AgedMpox, MonkeypoxVirus SheddingBiomarkersCt-valueEvolutionmpoxMPOXVRecoverySeverity

Identifiers

PMID39178746
PMCPMC11388274

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Registered trials

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.