Early versus Late Tracheostomy Promotes Weaning in Intensive Care Unit Patients

Background and aim of the study: The time interval between the patients’ intubation and the performance of a tracheostomy has been considered as critical for the disease prognosis and outcome. The aim of the present study was to compare and contrast the outcomes of early vs late tracheostomy with regard to intensive care unit (ICU) patients’ weaning from respiratory support. Methods: This retrospective observational study, involved patients who were hospitalized in two general and one Covid-19 ICUs of two tertiary hospitals in Athens and were subjected to tracheostomy. Data were collected from the patients’ medical records in order to estimate the duration of patient weaning and the number of days from the patients’ intubation until the time of tracheostomy. In the present study the term early tracheostomy denotes tracheostomy performed within 14 days from patient intubation and late tracheostomy defines the tracheostomy carried out after 14 days. For Covid-19 patients, guidelines suggested that tracheostomies should be performed 21 days following intubation, due to the high risk of virus transmission. Results: One hundred and thirty-one patients who underwent tracheostomy participated in the study. Most tracheostomies were performed using the percutaneous technique. The group of patients tracheostomized within 14 days after their admission in ICU weaned faster from respiratory support compared to ones who were tracheostomized after 14 days. Conclusions: The most common distinction between early and late tracheostomy is 14 days, with early tracheostomy being more beneficial in terms of patients’ outcomes, and specifically ICU patients’ weaning. (www.actabiomedica.it)

Cumulative Prognostic Score Predicting Mortality in Patients Older Than 80 Years Admitted to the ICU.

OBJECTIVES: To develop a scoring system model that predicts mortality within 30 days of admission of patients older than 80 years admitted to intensive care units (ICUs). DESIGN: Prospective cohort study. SETTING: A total of 306 ICUs from 24 European countries. PARTICIPANTS: Older adults admitted to European ICUs (N = 3730; median age = 84 years [interquartile range = 81-87 y]; 51.8% male). MEASUREMENTS: Overall, 24 variables available during ICU admission were included as potential predictive variables. Multivariable logistic regression was used to identify independent predictors of 30-day mortality. Model sensitivity, specificity, and accuracy were evaluated with receiver operating characteristic curves. RESULTS: The 30-day-mortality was 1562 (41.9%). In multivariable analysis, these variables were selected as independent predictors of mortality: age, sex, ICU admission diagnosis, Clinical Frailty Scale, Sequential Organ Failure Score, invasive mechanical ventilation, and renal replacement therapy. The discrimination, accuracy, and calibration of the model were good: the area under the curve for a score of 10 or higher was .80, and the Brier score was .18. At a cut point of 10 or higher (75% of all patients), the model predicts 30-day mortality in 91.1% of all patients who die. CONCLUSION: A predictive model of cumulative events predicts 30-day mortality in patients older than 80 years admitted to ICUs. Future studies should include other potential predictor variables including functional status, presence of advance care plans, and assessment of each patient's decision-making capacity

Sepsis at ICU admission does not decrease 30-day survival in very old patients: a post-hoc analysis of the VIP1 multinational cohort study.

BACKGROUND: The number of intensive care patients aged ≥ 80 years (Very old Intensive Care Patients; VIPs) is growing. VIPs have high mortality and morbidity and the benefits of ICU admission are frequently questioned. Sepsis incidence has risen in recent years and identification of outcomes is of considerable public importance. We aimed to determine whether VIPs admitted for sepsis had different outcomes than those admitted for other acute reasons and identify potential prognostic factors for 30-day survival. RESULTS: This prospective study included VIPs with Sequential Organ Failure Assessment (SOFA) scores ≥ 2 acutely admitted to 307 ICUs in 21 European countries. Of 3869 acutely admitted VIPs, 493 (12.7%) [53.8% male, median age 83 (81-86) years] were admitted for sepsis. Sepsis was defined according to clinical criteria; suspected or demonstrated focus of infection and SOFA score ≥ 2 points. Compared to VIPs admitted for other acute reasons, VIPs admitted for sepsis were younger, had a higher SOFA score (9 vs. 7, p < 0.0001), required more vasoactive drugs [82.2% vs. 55.1%, p < 0.0001] and renal replacement therapies [17.4% vs. 9.9%; p < 0.0001], and had more life-sustaining treatment limitations [37.3% vs. 32.1%; p = 0.02]. Frailty was similar in both groups. Unadjusted 30-day survival was not significantly different between the two groups. After adjustment for age, gender, frailty, and SOFA score, sepsis had no impact on 30-day survival [HR 0.99 (95% CI 0.86-1.15), p = 0.917]. Inverse-probability weight (IPW)-adjusted survival curves for the first 30 days after ICU admission were similar for acute septic and non-septic patients [HR: 1.00 (95% CI 0.87-1.17), p = 0.95]. A matched-pair analysis in which patients with sepsis were matched with two control patients of the same gender with the same age, SOFA score, and level of frailty was also performed. A Cox proportional hazard regression model stratified on the matched pairs showed that 30-day survival was similar in both groups [57.2% (95% CI 52.7-60.7) vs. 57.1% (95% CI 53.7-60.1), p = 0.85]. CONCLUSIONS: After adjusting for organ dysfunction, sepsis at admission was not independently associated with decreased 30-day survival in this multinational study of 3869 VIPs. Age, frailty, and SOFA score were independently associated with survival

Relationship between the Clinical Frailty Scale and short-term mortality in patients ≥ 80 years old acutely admitted to the ICU: a prospective cohort study.

BACKGROUND: The Clinical Frailty Scale (CFS) is frequently used to measure frailty in critically ill adults. There is wide variation in the approach to analysing the relationship between the CFS score and mortality after admission to the ICU. This study aimed to evaluate the influence of modelling approach on the association between the CFS score and short-term mortality and quantify the prognostic value of frailty in this context. METHODS: We analysed data from two multicentre prospective cohort studies which enrolled intensive care unit patients ≥ 80 years old in 26 countries. The primary outcome was mortality within 30-days from admission to the ICU. Logistic regression models for both ICU and 30-day mortality included the CFS score as either a categorical, continuous or dichotomous variable and were adjusted for patient's age, sex, reason for admission to the ICU, and admission Sequential Organ Failure Assessment score. RESULTS: The median age in the sample of 7487 consecutive patients was 84 years (IQR 81-87). The highest fraction of new prognostic information from frailty in the context of 30-day mortality was observed when the CFS score was treated as either a categorical variable using all original levels of frailty or a nonlinear continuous variable and was equal to 9% using these modelling approaches (p < 0.001). The relationship between the CFS score and mortality was nonlinear (p < 0.01). CONCLUSION: Knowledge about a patient's frailty status adds a substantial amount of new prognostic information at the moment of admission to the ICU. Arbitrary simplification of the CFS score into fewer groups than originally intended leads to a loss of information and should be avoided. Trial registration NCT03134807 (VIP1), NCT03370692 (VIP2)

Risk factors for stress among police officers: A systematic literature review

BACKGROUND: Stress is common among police personnel leading to several negative consequences. OBJECTIVE: We performed a systematic literature review to identify risk factors for stress among police officers. METHODS: We searched PubMed and Scopus electronic databases through to July 2018 and we conducted this review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The Newcastle-Ottawa scale was used for studies quality assessment. RESULTS: After selection, 29 cross-sectional studies met the inclusion criteria and included in the review. The average quality of studies was low since no study was rated as having low risk of bias, three studies (10.3%) as moderate risk and 26 studies (89.7%) were rated as having high risk of bias. Stress risk factors were summarized in the following categories: demographic characteristics; job characteristics; lifestyle factors; negative coping strategies and negative personality traits. CONCLUSIONS: Identification of stress risk factors is the first step to create and adopt the appropriate interventions to decrease stress among police personnel. The early identification of police officers at higher risk and the appropriate screening for mental health disorders is crucial to prevent disease and promote quality of life. © 2021-IOS Press. All rights reserved

Simulation of schoolyard’s microclimate and human thermal comfort under Mediterranean climate conditions: effects of trees and green structures

The present study explores the effects on microclimate parameters and on heat stress conditions of the bioclimatic redevelopment of an urban schoolyard based mainly on inserting shading canopies and replacing hard surfaces with green cover. This included the use of the recent version of the microclimate model ENVI-met (V4), first validated using experimental data and then later applied to different case studies in schoolgrounds of Volos, a coastal city in central Greece under Mediterranean type climate. The simulation of the existing yard condition showed that the values of the biometorological index PET (physiologically equivalent temperature, in °C), were within the range of the thermal sensation class of extreme heat stress (&gt; 41 °C) from early morning, while at midday 80.5% of the yard area was within the range of the above class. With the implementation of the redesign proposal, 69.9% of the yard area was improved by two or three PET scale classes, helping to improve the microclimate in 82% of the total area of the courtyard. Tree canopies reduced the direct incident radiation more than 90%, reduced Tmrt and PET index up to 31 °C and 19 °C, respectively, and the surface ground temperatures of wet grass and hard surfaces more than 20 °C and 14 °C, respectively. © 2018, ISB

A web-based system for fungus disease risk assessment in greenhouses: System development

Nowadays, there is a great need and public concern for reduced use of hazardous pesticides in horticulture and implementation of alternative approaches for rational pests and diseases suppression. This goal is approached by integrating crop protection measures and non-chemical measures or applying crop protection products only when needed, thus eliminating unnecessary applications. In addition, preventive farm management methods such as optimal management of the aerial environment in greenhouses with sufficient installed technology may provide adequate disease suppression, as the grower can avoid conditions that favour pests and fungus development. Aim of this study is the development of a web-based decision support system (DSS) that estimates the risk for a fungi disease outbreak in a greenhouse. The disease development risk assessment is based on disease models already available in the literature that correlate the rate of disease development to crop microclimate conditions and cultivation practices. Up to now such models were mainly used for the disease development risk assessment based on past or historical data. A strong point of the work is related to the fact that the DSS makes use of the outside climate forecast to predict the greenhouse microclimate conditions during a set of days that will follow. Then, based on the predicted microclimate inside the greenhouse the Botrytis disease development models are used to assess the potential risk for disease development in a greenhouse tomato crop during the following days. The greenhouse microclimate is estimated based on the outside weather forecast for the region of the greenhouse, the greenhouse energy and vapour balance, the greenhouse control concept and methodology, the climate control equipment and the greenhouse climate set points. The last part of the DSS, contains a tactical and strategical tool that, according to the risk assessment, suggests climate control actions to prevent fungi development for preventive and optimal disease control. Such a DSS can then be included in disease management systems to assist growers to decide when to proceed to a certain action in order to modify the conditions that favour the development of a disease, or if necessary, when to apply the proper permitted plant protection products. In this work, the development of the DSS and the results of the validation process of the microclimate predicted values are presented. © 2021 Elsevier B.V

Editorial: Greenhouse Gas Emissions Mitigation From Agricultural and Horticultural Systems

[No abstract available

Thermal environment of urban schoolyards: Current and future design with respect to children’s thermal comfort

Urban outdoor thermal conditions, and its impacts on the health and well‐being for the city inhabitants have reached increased attention among biometeorological studies during the last two decades. Children are considered more sensitive and vulnerable to hot ambient conditions compared to adults, and are affected strongly by their thermal environment. One of the urban outdoor environments that children spend almost one third of their school time is the schoolyard. The aims of the present manuscript were to review studies conducted worldwide, in order to present the biophysical characteristics of the typical design of the urban schoolyard. This was done to assess, in terms of bioclimatology, the interactions between the thermal environment and the children’s body, to discuss the adverse effects of thermal environment on children, especially the case of heat stress, and to propose measures that could be applied to improve the thermal environment of schoolyards, focusing on vegetation. Human thermal comfort monitoring tools are mainly developed for adults, thus, further research is needed to adapt them to children. The schemes that are usually followed to design urban schoolyards create conditions that favour the exposure of children to excessive heat, inducing high health risks to them. The literature survey showed that typical urban schoolyard design (i.e., dense surface materials, absence of trees) triggered high surface temperatures (that may exceed 58 °C) and increased absorption of radiative heat load (that may exceed 64 °C in terms of Mean Radiant Temperature) during a clear day with intense solar radiation. Furthermore, vegetation cover has a positive impact on schoolyard’s microclimate, by improving thermal comfort and reducing heat stress perception of children. Design options for urban schoolyards and strategies that can mitigate the adverse effects of heat stress are proposed with focus on vegetation cover that affect positively their thermal environment and improve their aesthetic and functionality. © 2020 by the authors. Licensee MDPI, Basel, Switzerland