Evidence map›Paper›PMID 39632735›Full record

ArticleInternational journal of occupational medicine and environmental health2024

Monitoring of liver and kidney profiles in anesthesiologists working in a regional reference teaching hospital in Northern Italy: analysis of health surveillance data using a linear mixed model.

Alborz Rahmani, Guglielmo Dini, Alfredo Montecucco, Luca Priano, Marco Leonetti, Alessia Manca, Bruno Kusznir Vitturi, Paolo Durando

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Article in International journal of occupational medicine and environmental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Alborz RahmaniUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Guglielmo DiniUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Alfredo MontecuccoUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Luca PrianoUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Marco LeonettiUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Alessia MancaIRCCS San Martino Polyclinic Hospital, Genoa, Italy (Occupational Medicine Unit).
Bruno Kusznir VitturiUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).
Paolo DurandoUniversity of Genoa, Genoa, Italy (Department of Health Sciences (DISSAL)).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAnesthesiologists represent an occupational group exposed to specific occupational hazards, including potential exposure to waste anesthetic gas released during medical procedures. In recent decades, halogenated anesthetic gases, such as desflurane and sevoflurane, have largely replaced nitrous oxide, due to better safety profiles and lower adverse health effects. However, possible long-term effects of low concentration exposures are unknown. A longitudinal analysis of health surveillance data was performed to test for possible changes over time in key markers of liver and kidney function. Moreover, we assessed the appropriateness of applying linear mixed models to occupational health data. MATERIAL AND

methodsA retrospective cohort study was conducted using health surveillance data from a cohort of anesthesiologists and a cohort of unexposed physicians working at the Polyclinic Hospital San Martino of Genoa, Italy, during 2016-2022. A 2-level linear mixed model with covariance structure of first order autoregressive model (AR(1)) type at the first level and unstructured type at the second level was applied.

resultsOne hundred seventy subjects were included in the analysis, equally divided between exposed and unexposed. At the first and last periodic examination, liver and kidney markers were not statistically different in the 2 cohorts. The only significant change found related to estimated glomerular filtrate, which was found at the last follow-up to be greater among the exposed (M = 104.18 vs. 90.07, p = 0.007). The linear mixed model showed that anesthetic gas exposure was not associated with any of the outcomes. These results suggest the absence of increase in liver and kidney profile markers in the study population.

conclusionsHealth surveillance data, aggregated and analyzed with appropriate statistical models, allow inferences to be made about potential health effects of workers due to uncontrolled exposures. To this end, the linear mixed model represents a powerful tool for longitudinal analysis of data derived from monitoring workers. Int J Occup Med Environ Health. 2024;37(5):557-68.

Indexed as

AnesthesiologistsHospitals, TeachingKidneyOccupational ExposureAdultAnesthetics, InhalationBiomarkersFemaleHumansItalyLinear ModelsLiverMaleMiddle AgedRetrospective StudiesAnesthetics, InhalationBiomarkersmultilevel modeloccupational healthoperation room riskrisk assessmentsubcritical effectswaste anesthetic gas

Identifiers

PMID39632735
PMCPMC11661019

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