Event-related potentials of social comparisons in depression and social anxiety.

Social comparison is central in human life and can be especially challenging in depression and social anxiety. We assessed event-related potentials and emotions using a social comparison task in which participants received feedback on both their own and a co-player's performance, in participants with depression and/or social anxiety (n = 63) and healthy controls (n = 72). Participants reported more negative emotions for downward (being better than the co-player [participant correct, co-player wrong]) and upward (being worse than the co-player [participant wrong, co-player correct]) comparisons versus even outcomes, with these effects being stronger in depression and social anxiety. At the Medial Frontal Negativity, both controls and depressed participants showed a more negative amplitude for upward comparison versus both the participant and co-player performing wrong. Socially anxious subjects showed the opposite effect, possibly due to greater expectations about being worse than others. The P300 decreased for downward and upward comparisons compared to even outcomes, which may relate to the higher levels of conflict of social inequality. Depressed and socially anxious subjects showed a blunted P300 increase over time in response to the task outcomes, suggesting deficits in allocating resources for the attention of incoming social information. The LPP showed increased amplitude for downward and upward comparison versus the even outcomes and no group effect. Emotional findings suggest that social comparisons are more difficult for depressed and socially anxious individuals. Event-related potentials findings may shed light on the neural substrates of these difficulties.

ADAR1 Isoforms Regulate Let-7d Processing in Idiopathic Pulmonary Fibrosis.

Double-stranded RNA adenosine deaminase 1 (ADAR1) is significantly down-regulated in fibroblasts derived from Idiopathic Pulmonary Fibrosis (IPF) patients, and its overexpression restored levels of miRNA-21, PELI1, and SPRY2. There are two ADAR1 isoforms in humans, ADAR1-p110 and ADAR1-p150, generated by an alternative promoter. Let-7d is considered an essential microRNA in Pulmonary Fibrosis (PF). In silico analysis revealed COL3A1 and SMAD2, proteins involved in the development of IPF, as Let-7d targets. We analyzed the role of ADAR1-p110 and ADAR1-p150 isoforms in the regulation of Let-7d maturation and the effect of this regulation on the expression of COL3A1 and SMAD2 in IPF fibroblast. We demonstrated that differential expression and subcellular distribution of ADAR1 isoforms in fibroblasts contribute to the up-regulation of pri-miR-Let-7d and down-regulation of mature Let-7d. Induction of overexpression of ADAR1 reestablishes the expression of pri-miR-Let-7d and Let-7d in lung fibroblasts. The reduction of mature Let-7d upregulates the expression of COL3A1 and SMAD2. Thus, ADAR1 isoforms and Let-7d could have a synergistic role in IPF, which is a promising explanation in the mechanisms of fibrosis development, and the regulation of both molecules could be used as a therapeutic approach in IPF.

Risk factors associated with the development of interstitial lung abnormalities.

BACKGROUND: Around 8-10% of individuals over 50 years of age present interstitial lung abnormalities (ILAs), but their risk factors are uncertain. METHODS: From 817 individuals recruited in our lung ageing programme at the Mexican National Institute of Respiratory Diseases, 80 (9.7%) showed ILAs and were compared with 564 individuals of the same cohort with normal high-resolution computed tomography to evaluate demographic and functional differences, and with 80 individuals randomly selected from the same cohort for biomarkers. We evaluated MUC5B variant rs35705950, telomere length, and serum levels of matrix metalloproteinase (MMP)-1, MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-12, MMP-13, interleukin (IL)-6, surfactant protein (SP)-D, α-Klotho and resistin. RESULTS: Individuals with ILAs were usually males (p<0.005), older than controls (p<0.0001), smokers (p=0.01), with a greater frequency of MUC5B rs35705950 (OR 3.5, 95% CI 1.3-9.4; p=0.01), and reduced diffusing capacity of the lung for carbon monoxide and oxygen saturation. Resistin, IL-6, SP-D, MMP-1, MMP-7 and MMP-13 were significantly increased in individuals with ILAs. Resistin (12±5 versus 9±4 ng·mL-1; p=0.0005) and MMP-13 (357±143 versus 298±116 pg·mL-1; p=0.004) were the most increased biomarkers. On follow-up (24±18 months), 18 individuals showed progression which was associated with gastro-oesophageal reflux disease (OR 4.1, 95% CI 1.2-12.9; p=0.02) and in females with diabetes mellitus (OR 5.3, 95% CI 1.0-27.4; p=0.01). CONCLUSIONS: Around 10% of respiratory asymptomatic individuals enrolled in our lung ageing programme show ILAs. Increased serum concentrations of pro-inflammatory molecules and MMPs are associated with ILAs.

MAl2O4 (M=Ba, Mg) photocatalytic activity dependence on annealing atmosphere.

Aluminate spinel type ${{\rm MAl}_2}{{\rm O}_4}$MAl2O4 (M=Ba or Mg) materials prepared using the combustion synthesis method were annealed either in an air or carbon atmosphere. The materials were characterized using X-ray diffraction, scanning electron microscopy, diffuse reflectance spectra, electrochemical impedance spectroscopy, and photoluminescence (PL) measurements. Their photocatalytic activity was evaluated for the dye degradation and hydrogen evolution. Methylene blue (15 ppm) was completely degraded using the air-annealed barium aluminate after 90 min, while a maximum hydrogen generation rate of $97 . 0 \;{\rm\unicode{x00B5}{\rm mol}\cdot{\rm h}^{ - 1}\cdot{\rm g}^{ - 1}}$97.0µmol⋅h-1⋅g-1 was achieved using the carbon-annealed magnesium aluminate. The results suggest that air-annealed photocatalysts are suitable for oxidation-dependent reactions, while carbon annealing may enhance reduction-dependent reactions.

The Role of ADAR1 and ADAR2 in the Regulation of miRNA-21 in Idiopathic Pulmonary Fibrosis.

INTRODUCTION: microRNAs (miRNAs) are small non-coding 1RNAs that post-transcriptionally regulate gene expression. Recent evidence shows that adenosine deaminases that act on RNA (ADAR) can edit miRNAs. miRNAs are involved in the development of different diseases, such as idiopathic pulmonary fibrosis (IPF). In IPF, about 40% of the miRNAs are differentially expressed with respect to controls. Among these miRNAs, miRNA-21 has been found over-expressed in IPF and its targets are anti-fibrosing molecules such as PELI1 and SPRY2. The objective of this study is to determine the role of ADAR1 and 2 on the expression of miRNA-21 in human lung fibroblasts trough quantification of gene expression, protein levels, and overexpression of ADAR1 and 2. METHODS: Six control and six fibrotic primary fibroblast cell cultures were used for RNA extraction, ADAR1, ADAR2, PELI1, SPRY2, miRNA-21, and pri-miRNA-21 expression was measured. Subsequently, two fibrotic fibroblast cultures were used for overexpression of ADAR1 and ADAR2, and they were stimulated with TGFß1. Real-time PCR and Western blot were performed. RESULTS: ADAR1 is significantly downregulated in IPF fibroblasts; the overexpression of ADAR1 and ADAR2 reestablishes the expression levels of miRNA-21, PELI1, and SPRY2 in fibroblasts of patients with IPF. CONCLUSION: These changes in the processing of miRNAs have great value in pathology diagnosis, including lung diseases, and play an important role in the understanding of molecular mechanisms involved in the development of different pathologies, as well as representing new therapeutic targets.

Functional Connectivity and Quantitative EEG in Women with Alcohol Use Disorders: A Resting-State Study.

This study was aimed at exploring the electroencephalographic features associated with alcohol use disorders (AUD) during a resting-state condition, by using quantitative EEG and Functional Connectivity analyses. In addition, we explored whether EEG functional connectivity is associated with trait impulsivity. Absolute and relative powers and Synchronization Likelihood (SL) as a measure of functional connectivity were analyzed in 15 AUD women and fifteen controls matched in age, gender and education. Correlation analysis between self-report impulsivity as measured by the Barratt impulsiveness Scale (BIS-11) and SL values of AUD patients were performed. Our results showed increased absolute and relative beta power in AUD patients compared to matched controls, and reduced functional connectivity in AUD patients predominantly in the beta and alpha bands. Impaired connectivity was distributed at fronto-central and occipito-parietal regions in the alpha band, and over the entire scalp in the beta band. We also found that impaired functional connectivity particularly in alpha band at fronto-central areas was negative correlated with non-planning dimension of impulsivity. These findings suggest that functional brain abnormalities are present in AUD patients and a disruption of resting-state EEG functional connectivity is associated with psychopathological traits of addictive behavior.

Profibrosing effect of angiotensin converting enzyme inhibitors in human lung fibroblasts.

OBJECTIVE: The objective of this study is to determine the effect of two angiotensin-converting enzyme inhibitors (ACEi) (Enalapril and Captopril), an angiotensin-II receptor inhibitor (Losartan) and a renin inhibitor (Aliskiren) on renin, TGF-ß1 and collagen expressions in human lung fibroblast cultures through real-time PCR and ELISA. MATERIALS AND METHODS: Normal commercial fibroblasts (CCD25) were exposed to 10(-6) M of enalapril, captopril, losartan, or aliskiren for 6 h. Subsequently, media were recovered and proteins were concentrated; RNA was extracted from the cells. Real time-PCR and ELISA were performed. RESULTS: ACEi and losartan-stimulated fibroblasts showed an increase in the expression of TGF-ß1, Collagen-Iα1 (Col-Iα1), and renin (except losartan) vs PolR2A (p < 0.05), and upregulation of TGF-ß1 protein (p < 0.01), except with aliskiren. CONCLUSION: Results show that ACEis and losartan could play a profibrosing role by inducing the overexpression of molecules such TGF-ß1 and Collagen.

In-and-out Technique: An In-house Efficient Predictive Hole Fabrication Workflow.

Virtual surgical planning (VSP) and three-dimensional (3D) printing can increase precision and reduce surgical time in craniofacial reconstruction. However, the elevated cost and manufacturing time of outsourced workflows is increasing the development of in-house solutions. One of the main challenges in in-house workflows is to create cutting guides that hold plate position information. This is due to the fact that hospitals usually lack the infrastructure required to design and 3D print custom-made plates. Including plate-positioning information in resection guides is especially relevant in complex reconstructions and when tumor extension limits plate placement before resection. Current in-house workflows revolve around the idea of 3D scanning the bent plate's shape and to fuse it with the VSP. The goal of this article is to share our technique to transfer plate position information to resection guides. Our protocol uses a 3D model of the reconstruction as an intermediate step to transfer the plate position of a bent stock reconstruction plate to cutting guides. Two patients who required mandibular reconstruction with fibula flap are presented to illustrate the technique. This workflow requires a 3D-printed model of the desired outcome, cutting guides, and a stock plate. Results were satisfactory in terms of cutting location and angulation, plate adaptation and condylar position. This technique allows for a simple, safe, cheap, and quick alternative to add reconstruction plate information to cutting guides.

CiftiStorm pipeline: facilitating reproducible EEG/MEG source connectomics.

We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating recently developed methods to improve forward and inverse solutions. The CiftiStorm pipeline produces Human Connectome Project (HCP) and megconnectome-compliant outputs from dataset inputs with varying degrees of spatial resolution. The input data can range from low-sensor-density electroencephalogram (EEG) or magnetoencephalogram (MEG) recordings without structural magnetic resonance imaging (sMRI) to high-density EEG/MEG recordings with an HCP multimodal sMRI compliant protocol. CiftiStorm introduces a numerical quality control of the lead field and geometrical corrections to the head and source models for forward modeling. For the inverse modeling, we present a Bayesian estimation of the cross-spectrum of sources based on multiple priors. We facilitate ESI in the T1w/FSAverage32k high-resolution space obtained from individual sMRI. We validate this feature by comparing CiftiStorm outputs for EEG and MRI data from the Cuban Human Brain Mapping Project (CHBMP) acquired with technologies a decade before the HCP MEG and MRI standardized dataset.

More to explore in music reading as a cross-modal process: a comment on Lee and Lei (2012).

Lee and Lei (2012) used a pitch task and a duration task in different blocks of trials and measured event-related potentials in 12 musicians and 24 non-musicians as they read musical scores. The authors claimed to disentangle pitch and duration processing. From the perspectives of cognitive neuropsychology there is great interest in studying the processes involved in reading musical scores. However, we argue that the design used by Lee and Lei (2012) does not allow disentangling pitch and duration processing because both are expressed within the musical score. Moreover, we emphasize the importance of longitudinal studies over cross-sectional studies to pinpoint the specific influence of musical expertise on score reading.

Event-related potentials during the ultimatum game in people with symptoms of depression and/or social anxiety.

Depression and social anxiety are common disorders that have a profound impact on social functioning. The need for studying the neural substrates of social interactions in mental disorders using interactive tasks has been emphasized. The field of neuroeconomics, which combines neuroscience techniques and behavioral economics multiplayer tasks such as the Ultimatum Game (UG), can contribute in this direction. We assessed emotions, behavior, and Event-Related Potentials in participants with depression and/or social anxiety symptoms (MD/SA, n = 63, 57 females) and healthy controls (n = 72, 67 females), while they played the UG. In this task, participants received fair, mid-value, and unfair offers from other players. Mixed linear models were implemented to assess trial level changes in neural activity. The MD/SA group reported higher levels of sadness in response to mid-value and unfair offers compared to controls. In controls, the Medial Frontal Negativity associated with fair offers increased over time, while this dynamic was not observed in the MD/SA group. The MD/SA group showed a decreased P3/LPP in all offers, compared to controls. These results indicate an enhanced negative emotional response to unfairness in the MD/SA group. Neural results reveal a blunted response over time to positive social stimuli in the MD/SA group. Moreover, between-group differences in P3/LPP may relate to a reduced saliency of offers and/or to a reduced availability of resources for processing incoming stimuli in the MD/SA group. Findings may shed light into the neural substrates of social difficulties in these disorders.

DIVA Meets EEG: Model Validation Using Formant-Shift Reflex.

The neurocomputational model 'Directions into Velocities of Articulators' (DIVA) was developed to account for various aspects of normal and disordered speech production and acquisition. The neural substrates of DIVA were established through functional magnetic resonance imaging (fMRI), providing physiological validation of the model. This study introduces DIVA_EEG an extension of DIVA that utilizes electroencephalography (EEG) to leverage the high temporal resolution and broad availability of EEG over fMRI. For the development of DIVA_EEG, EEG-like signals were derived from original equations describing the activity of the different DIVA maps. Synthetic EEG associated with the utterance of syllables was generated when both unperturbed and perturbed auditory feedback (first formant perturbations) were simulated. The cortical activation maps derived from synthetic EEG closely resembled those of the original DIVA model. To validate DIVA_EEG, the EEG of individuals with typical voices (N = 30) was acquired during an altered auditory feedback paradigm. The resulting empirical brain activity maps significantly overlapped with those predicted by DIVA_EEG. In conjunction with other recent model extensions, DIVA_EEG lays the foundations for constructing a complete neurocomputational framework to tackle vocal and speech disorders, which can guide model-driven personalized interventions.

Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG.

Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step the activity emerging within functional networks from EEG or MEG data. These EEG or MEG estimates are a direct reflection of functional brain network activity with a temporal resolution that no other in vivo neuroimage may provide. A second step estimating functional connectivity from such activity pseudodata unveil the oscillatory brain networks that strongly correlate with all cognition and behavior. Simulations of such MEG or EEG inverse problem also reveal estimation errors of the functional connectivity determined by any of the state-of-the-art inverse solutions. We disclose a significant cause of estimation errors originating from misspecification of the functional network model incorporated into either inverse solution steps. We introduce the Bayesian identification of a Hidden Gaussian Graphical Spectral (HIGGS) model specifying such oscillatory brain networks model. In human EEG alpha rhythm simulations, the estimation errors measured as ROC performance do not surpass 2% in our HIGGS inverse solution and reach 20% in state-of-the-art methods. Macaque simultaneous EEG/ECoG recordings provide experimental confirmation for our results with 1/3 times larger congruence according to Riemannian distances than state-of-the-art methods.

Functional brain connectivity after corrective cardiac surgery for critical congenital heart disease: a preliminary near-infrared spectroscopy (NIRS) report.

Patients with congenital heart disease (CHD) requiring cardiac surgery in infancy are at high risk for neurodevelopmental impairments. Neonatal imaging studies have reported disruptions of brain functional organization before surgery. Yet, the extent to which functional network alterations are present after cardiac repair remains unexplored. This preliminary study aimed at investigating cortical functional connectivity in 4-month-old infants with repaired CHD, using resting-state functional near-infrared spectroscopy (fNIRS). After fNIRS signal frequency decomposition, we compared values of magnitude-squared coherence as a measure of connectivity strength, between 21 infants with corrected CHD and 31 healthy controls. We identified a subset of connections with differences between groups at an uncorrected statistical level of p < .05 while controlling for sex and maternal socioeconomic status, with most of these connections showing reduced connectivity in infants with CHD. Although none of these differences reach statistical significance after FDR correction, likely due to the small sample size, moderate to large effect sizes were found for group-differences. If replicated, these results would therefore suggest preliminary evidence that alterations of brain functional connectivity are present in the months after cardiac surgery. Additional studies involving larger sample size are needed to replicate our data, and comparisons between pre- and postoperative findings would allow to further delineate alterations of functional brain connectivity in this population.

Minimizing the distortions in electrophysiological source imaging of cortical oscillatory activity via Spectral Structured Sparse Bayesian Learning.

Oscillatory processes at all spatial scales and on all frequencies underpin brain function. Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that provides the inverse solutions to the source processes of the EEG, MEG, or ECoG data. This study aimed to carry out an ESI of the source cross-spectrum while controlling common distortions of the estimates. As with all ESI-related problems under realistic settings, the main obstacle we faced is a severely ill-conditioned and high-dimensional inverse problem. Therefore, we opted for Bayesian inverse solutions that posited a priori probabilities on the source process. Indeed, rigorously specifying both the likelihoods and a priori probabilities of the problem leads to the proper Bayesian inverse problem of cross-spectral matrices. These inverse solutions are our formal definition for cross-spectral ESI (cESI), which requires a priori of the source cross-spectrum to counter the severe ill-condition and high-dimensionality of matrices. However, inverse solutions for this problem were NP-hard to tackle or approximated within iterations with bad-conditioned matrices in the standard ESI setup. We introduce cESI with a joint a priori probability upon the source cross-spectrum to avoid these problems. cESI inverse solutions are low-dimensional ones for the set of random vector instances and not random matrices. We achieved cESI inverse solutions through the variational approximations via our Spectral Structured Sparse Bayesian Learning (ssSBL) algorithm https://github.com/CCC-members/Spectral-Structured-Sparse-Bayesian-Learning. We compared low-density EEG (10-20 system) ssSBL inverse solutions with reference cESIs for two experiments: (a) high-density MEG that were used to simulate EEG and (b) high-density macaque ECoG that were recorded simultaneously with EEG. The ssSBL resulted in two orders of magnitude with less distortion than the state-of-the-art ESI methods. Our cESI toolbox, including the ssSBL method, is available at https://github.com/CCC-members/BC-VARETA_Toolbox.

Resting state basal ganglia network in idiopathic generalized epilepsy.

The basal ganglia, a brain structure related to motor control, is implicated in the modulation of epileptic discharges generalization in patients with idiopathic generalized epilepsy (IGE). Using group independent component analysis (ICA) on resting-state fMRI data, this study identified a resting state functional network that predominantly consisted of the basal ganglia in both healthy controls and patients with IGE. In order to gain a better understanding of the basal ganglia network(BGN) in IGE patients, we compared the BGN functional connectivity of controls with that of epilepsy patients, either with interictal epileptic discharges (with-discharge period, WDP) or without epileptic discharge (nondischarge period, NDP) while scanning. Compared with controls, functional connectivity of BGN in IGE patients demonstrated significantly more integration within BGN except cerebellum and supplementary motor area (SMA) during both periods. Compared with the NDP group, the increased functional connectivity was found in bilateral caudate nucleus and the putamen, and decreases were observed in the bilateral cerebellum and SMA in WDP group. In accord with the proposal that the basal ganglia modulates epileptic discharge activity, the results showed that the modulation enhanced the integration in BGN of patients, and modulation during WDP was stronger than that during NDP. Furthermore, reduction of functional connectivity in cerebellum and SMA, the abnormality might be further aggravated during WDP, was consistent with the behavioral manifestations with disturbed motor function in IGE. These resting-state fMRI findings in the current study provided evidence confirming the role of the BGN as an important modulator in IGE.

Mother and stranger: an electrophysiological study of voice processing in newborns.

In the mature adult brain, there are voice selective regions that are especially tuned to familiar voices. Yet, little is known about how the infant's brain treats such information. Here, we investigated, using electrophysiology and source analyses, how newborns process their mother's voice compared with that of a stranger. Results suggest that, shortly after birth, newborns distinctly process their mother's voice at an early preattentional level and at a later presumably cognitive level. Activation sources revealed that exposure to the maternal voice elicited early language-relevant processing, whereas the stranger's voice elicited more voice-specific responses. A central probably motor response was also observed at a later time, which may reflect an innate auditory-articulatory loop. The singularity of left-dominant brain activation pattern together with its ensuing sustained greater central activation in response to the mother's voice may provide the first neurophysiologic index of the preferential mother's role in language acquisition.

Maturational time course of the envelope following response to amplitude-modulated acoustic signals in rats.

OBJECTIVE: The maturation pattern of the envelope following response (EFR) was described using rats as an experimental model. DESIGN: EFRs were recorded in animals at different postnatal ages (15, 20, 25, 35, and 70 postnatal days) in response to broadband noise (BBN) and tones of 8000 and 4000 Hz modulated in amplitude using a continuous sweep of modulation frequencies. Responses were analysed in the 90-190 Hz modulation frequency (MF) range. STUDY SAMPLE: Forty individuals (eight individuals for each age bracket) were included in the present study. RESULTS: During maturation, the MF at which the maximum amplitude was obtained (BMF, best modulation frequency) shifted to higher values when animals were stimulated with tones. At the same time, the amplitude of the response at the BMF increased. For every group of animals, the amplitude of the response continuously decreased for MFs higher than the BMF. However, less steep decreases of amplitude were obtained as animals became adults. CONCLUSIONS: These results provide normative data regarding the maturation of the EFR in rats. They provide information for the development of predictor models to estimate the temporal resolution of the auditory system during maturation.

Parallel factor analysis for multidimensional decomposition of functional near-infrared spectroscopy data.

Significance: Current techniques for data analysis in functional near-infrared spectroscopy (fNIRS), such as artifact correction, do not allow to integrate the information originating from both wavelengths, considering only temporal and spatial dimensions of the signal's structure. Parallel factor analysis (PARAFAC) has previously been validated as a multidimensional decomposition technique in other neuroimaging fields. Aim: We aimed to introduce and validate the use of PARAFAC for the analysis of fNIRS data, which is inherently multidimensional (time, space, and wavelength). Approach: We used data acquired in 17 healthy adults during a verbal fluency task to compare the efficacy of PARAFAC for motion artifact correction to traditional two-dimensional decomposition techniques, i.e., target principal (tPCA) and independent component analysis (ICA). Correction performance was further evaluated under controlled conditions with simulated artifacts and hemodynamic response functions. Results: PARAFAC achieved significantly higher improvement in data quality as compared to tPCA and ICA. Correction in several simulated signals further validated its use and promoted it as a robust method independent of the artifact's characteristics. Conclusions: This study describes the first implementation of PARAFAC in fNIRS and provides validation for its use to correct artifacts. PARAFAC is a promising data-driven alternative for multidimensional data analyses in fNIRS and this study paves the way for further applications.

[Incidence of COVID-19 in health workers. Work activity and home protection]. / Incidencia de COVID-19 en trabajadores de salud. Actividad laboral y resguardo domiciliario.

Background: The COVID-19 pandemic has had repercussions in the social, economic, psychological and health spheres, for which risk and exposure groups have been identified. Health workers are distinguished from the rest of the population by constant contact with patients carrying the SARS-CoV-2 virus. Objetive: To determine the difference in the incidence of COVID-19 in health workers who remain in work activity and those who shelter at home. Material and methods: Cohort study in health workers from March 2020 to January 2021. Two groups were integrated, the exposed group made up of workers who remained working in the health unit (n = 4650) and the non-exposed group, those who carried out home protection (n = 337). When the groups were integrated, none had a diagnosis of COVID-19, they were followed up for 11 months and when COVID-19 was diagnosed, it was done with a PCR test. Statistical analysis included incidence rate, confidence intervals, Chi square, relative risk, and confidence interval for relative risk. Results: The incidence of COVID-19 in workers in home shelter was 39.8% (95% CI: 34.6-45.0) and in workers who remained in the medical unit 16.0% (95% CI: 14.9-17.1). The relative risk was 0.40 (95% CI: 0.34-0.47) for workers who remained working in the health unit. Conclusion: The incidence of COVID-19 was higher in health workers with home protection than in those who continued with normal activities in the medical unit.

Introducción: la pandemia por COVID-19 ha repercutido en el ámbito social, económico, psicológico y de la salud, por lo que se han identificado grupos de riesgo y de exposición. Los trabajadores de la salud se distinguen del resto de la población por el contacto constante con pacientes portadores del virus SARS-CoV-2. Objetivo: determinar la diferencia de incidencia de COVID-19 en trabajadores de la salud que permanece en actividad laboral y los que se resguardan en domicilio. Material y métodos: estudio de cohorte en trabajadores de la salud de marzo 2020 a enero 2021. Se integraron dos grupos: el grupo expuesto compuesto por trabajadores que permanecieron laborando en la unidad de salud (n = 4650) y el grupo no expuesto, que realizaron resguardo domiciliario (n = 337). Cuando se integraron los grupos ninguno tenía diagnóstico de COVID-19, se siguieron durante 11 meses y cuando se diagnosticó COVID-19 se realizó con prueba de PCR. El análisis estadístico incluyó tasa de incidencia, Intervalos de confianza, Chi cuadrada, riesgo relativo e intervalo de confianza para riesgo relativo. Resultados: la incidencia de COVID-19 de trabajadores en resguardo domiciliario fue de 39.8% (IC95%: 34.6-45.0) y en trabajadores que permanecieron en la unidad médica de 16.0% (IC95%: 14.9-17.1). El riesgo relativo fue de 0.40 (IC95%: 0.34-0.47) para trabajadores que permanecieron laborando en la unidad de salud. Conclusión: la incidencia de COVID-19 fue superior en trabajadores de la salud con resguardo domiciliario que en aquellos que continuaron con actividades normales en la unidad médica.