Correction: Mucci et al. WORKbiota: A Systematic Review about the Effects of Occupational Exposure on Microbiota and Workers' Health. Int. J. Environ. Res. Public Health 2022, 19, 1043.

Eleonora Tommasi was not included as an author in the original publication [...].

WORKbiota: A Systematic Review about the Effects of Occupational Exposure on Microbiota and Workers' Health.

The characterization of human microbiota and the impact of its modifications on the health of individuals represent a current topic of great interest for the world scientific community. Scientific evidence is emerging regarding the role that microbiota has in the onset of important chronic illnesses. Since individuals spend most of their life at work, occupational exposures may have an impact on the organism's microbiota. The purpose of this review is to explore the influence that different occupational exposures have on human microbiota in order to set a new basis for workers' health protection and disease prevention. The literature search was performed in PubMed, Cochrane, and Scopus. A total of 5818 references emerged from the online search, and 31 articles were included in the systematic review (26 original articles and 5 reviews). Exposure to biological agents (in particular direct contact with animals) was the most occupational risk factor studied, and it was found involved in modifications of the microbiota of workers. Changes in microbiota were also found in workers exposed to chemical agents or subjected to work-related stress and altered dietary habits caused by specific microclimate characteristics or long trips. Two studies evaluated the role of microbiota changes on the development of occupational lung diseases. Occupational factors can interface with the biological rhythms of the bacteria of the microbiota and can contribute to its modifications and to the possible development of diseases. Future studies are needed to better understand the role of the microbiota and its connection with occupational exposure to promote projects for the prevention and protection of global health.

Cooling techniques in mild hypothermia after cardiac arrest.

: Therapeutic hypothermia has been shown to reduce brain damage due to postcardiac arrest syndrome. Actually, there is no agreement on which is the best device to perform therapeutic hypothermia. The 'ideal' device should not only 'cool' patient until 33-34°C as fast as possible, but also maintain the target temperature and reverse the therapeutic hypothermia. For out-of-hospital cardiac arrest, there are devices that allow starting of therapeutic hypothermia on the field (prehospital hypothermia). On hospital arrival, these prehospital devices can be quickly and easily replaced with other devices more suitable for the management of therapeutic hypothermia in ICUs (in-hospital hypothermia). Some studies have compared surface and endovascular devices and found no substantial differences in neurologic outcome or survival at hospital discharge. On a clinical ground, the knowledge of the technical aspects of therapeutic hypothermia (such as characteristics of devices) is mandatory for clinicians who have to perform therapeutic hypothermia in cardiac arrest patients because the timing of therapeutic hypothermia, the choice of the device for the single patients, and avoidance of temperature fluctuation have shown to affect outcome in these patients (also in terms of reducing the incidence of complications).

Cardiovascular effects of mild hypothermia in post-cardiac arrest patients by beat-to-beat monitoring. A single centre pilot study.

BACKGROUND: Data on the hemodynamic and cardiovascular effects of hypothermia in patients with cardiac arrest are scarce. The aim of this study was to evaluate the hemodynamic changes induced by hypothermia by means of Most Care(®) (pressure recording analytical method, PRAM methodology), a beat-to-beat hemodynamic monitoring method. METHODS: We enrolled 20 patients with cardiac arrest (CA) consecutively admitted to our intensive cardiac care unit and treated with mild hypothermia (TH). RESULTS: While non-survivors showed no changes in haemodynamic variables throughout the study period, survivors exhibited a significant increase in systemic vascular resistance indexed during hypothermia and a trend towards lower values of heart rate and higher levels of mean arterial pressure. CONCLUSIONS: According to our data, PRAM methodology proved to be a feasible and clinically useful tool in CA patients treated with TH since it provides continuous beat-to-beat haemodynamic monitoring that is based on assessment of several haemodynamic variables. Moreover, we observed that survivors showed a different haemodynamic behaviour during hypothermia in respect to patients who died. However, further studies, performed in larger cohorts, are needed to better elucidate the haemodynamic effects of hypothermia in CA patients by means of PRAM methodology.

Dynamic behaviour of lactate values during mild hypothermia in patients with cardiac arrest.

BACKGROUND AND METHODS: The present investigation was aimed at assessing the dynamic behaviour of lactate values during hypothermia in 33 patients with cardiac arrest. RESULTS: Fifteen patients died during intensive care stay (15/33, 45.5%). When compared to survivors, they were older (survivors 50.7 ± 14.7 vs. non-survivors 70.1 ± 10.4 years, p<0.001) and exhibited a significantly higher APACHE score (survivors 21.9 ± 3.9 vs. non-survivors 27.5 ± 4.6, p<0.001). A higher incidence of non-shockable rhythms was observed in non-survivors (p=0.026) who showed a longer collapse-recovery of spontaneous circulation time (p=0.01). During hypothermia, lactate values showed a progressive and significant decrease despite no significant change in mean arterial pressure and central venous pressure (i.e. independently of blood pressure values and volaemia). Lactate values when measured during hypothermia were related to in-intensive cardiac care unit (in-ICCU) death. CONCLUSION: In our series, lactate values measured during hypothermia hold a prognostic role in these patients since they are related to in-ICCU death.

Automatic lung segmentation in CT images with accurate handling of the hilar region.

A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmonary parenchyma in thorax X-ray computed tomography (CT) datasets is proposed. It is meant to be used as pre-processing step in the computer-assisted detection (CAD) system for malignant lung nodule detection that is being developed by the Medical Applications in a Grid Infrastructure Connection (MAGIC-5) Project. In this new approach the segmentation of the external airways (trachea and bronchi), is obtained by 3D region growing with wavefront simulation and suitable stop conditions, thus allowing an accurate handling of the hilar region, notoriously difficult to be segmented. Particular attention was also devoted to checking and solving the problem of the apparent 'fusion' between the lungs, caused by partial-volume effects, while 3D morphology operations ensure the accurate inclusion of all the nodules (internal, pleural, and vascular) in the segmented volume. The new algorithm was initially developed and tested on a dataset of 130 CT scans from the Italung-CT trial, and was then applied to the ANODE09-competition images (55 scans) and to the LIDC database (84 scans), giving very satisfactory results. In particular, the lung contour was adequately located in 96% of the CT scans, with incorrect segmentation of the external airways in the remaining cases. Segmentation metrics were calculated that quantitatively express the consistency between automatic and manual segmentations: the mean overlap degree of the segmentation masks is 0.96 ± 0.02, and the mean and the maximum distance between the mask borders (averaged on the whole dataset) are 0.74 ± 0.05 and 4.5 ± 1.5, respectively, which confirms that the automatic segmentations quite correctly reproduce the borders traced by the radiologist. Moreover, no tissue containing internal and pleural nodules was removed in the segmentation process, so that this method proved to be fit for the use in the framework of a CAD system. Finally, in the comparison with a two-dimensional segmentation procedure, inter-slice smoothness was calculated, showing that the masks created by the 3D algorithm are significantly smoother than those calculated by the 2D-only procedure.