The epidemiological method in health management: Strategies of prescriptive appropriateness and prevention in the diagnosis and treatment for cardiovascular disease pathways in hospital

2017 ◽  
Vol 27 (1) ◽  
pp. e29
Author(s):  
E. Montella ◽  
G. d'Onofrio ◽  
R. Egidio ◽  
A. Barbarino ◽  
T. de Pascale ◽  
...  
Soil Systems ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 32
Author(s):  
Haddish Melakeberhan ◽  
Gregory Bonito ◽  
Alexandra N. Kravchenko

Soil health connotes the balance of biological, physicochemical, nutritional, structural, and water-holding components necessary to sustain plant productivity. Despite a substantial knowledge base, achieving sustainable soil health remains a goal because it is difficult to simultaneously: (i) improve soil structure, physicochemistry, water-holding capacity, and nutrient cycling; (ii) suppress pests and diseases while increasing beneficial organisms; and (iii) improve biological functioning leading to improved biomass/crop yield. The objectives of this review are (a) to identify agricultural practices (APs) driving soil health degradations and barriers to developing sustainable soil health, and (b) to describe how the nematode community analyses-based soil food web (SFW) and fertilizer use efficiency (FUE) data visualization models can be used towards developing sustainable soil health. The SFW model considers changes in beneficial nematode population dynamics relative to food and reproduction (enrichment index, EI; y-axis) and resistance to disturbance (structure index, SI; x-axis) in order to identify best-to-worst case scenarios for nutrient cycling and agroecosystem suitability of AP-driven outcomes. The FUE model visualizes associations between beneficial and plant-parasitic nematodes (x-axis) and ecosystem services (e.g., yield or nutrients, y-axis). The x-y relationship identifies best-to-worst case scenarios of the outcomes for sustainability. Both models can serve as platforms towards developing integrated and sustainable soil health management strategies on a location-specific or a one-size-fits-all basis. Future improvements for increased implementation of these models are discussed.


2021 ◽  
Vol 11 (7) ◽  
pp. 99
Author(s):  
Gian Piero Turchi ◽  
Marta Silvia Dalla Riva ◽  
Luisa Orrù ◽  
Eleonora Pinto

Starting from statistical data derived from the oncological field, some articles have highlighted the importance of communication in the patient–caregiver dyad and have considered the various roles involved in a cancer diagnosis situation. Thus, the question of how to intervene in terms of “quality of life” from the time of diagnosis to the recovery or death of a cancer patient, beyond the sanitary and physical dimensions, has become relevant. Therefore, the present narrative review aims to offer an overview of the state of the art in terms of the psychological treatment modalities of cancer patients, from the diagnosis to the post-surgery period. A total of 67 articles were collected and analyzed, in relation to (1) psychological constructs employed in the oncological field, (2) intervention models and (3) quality of life and well-being measurement and evaluation tools. We described these articles, differentiating between those focusing on the role of (1) the patient, (2) the caregiver, (3) the patient–caregiver dyad and (4) healthcare professional roles. The oncological diagnosis and its repercussions in the lives of the patient and caregiver were explored and critical aspects that emerged from the literature were highlighted. In conclusion, the analysis allowed some considerations about the need to define research protocols and useful management strategies for increasing the overall health of patients with cancer diagnoses and the people who surround them.


Author(s):  
Seamus P. Whelton ◽  
Philipp Berning ◽  
Roger S. Blumenthal ◽  
Catherine Handy Marshall ◽  
Seth S. Martin ◽  
...  

Diversity ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 101
Author(s):  
Haddish Melakeberhan ◽  
ZinThuZar Maung ◽  
Isaac Lartey ◽  
Senol Yildiz ◽  
Jenni Gronseth ◽  
...  

Determining if the vast soil health degradations across the seven major soil groups (orders) of Sub-Saharan Africa (SSA) can be managed on the basis of a one-size-fits-all or location-specific approach is limited by a lack of soil group-based understanding of soil health degradations. We used the relationship between changes in nematode population dynamics relative to food and reproduction (enrichment, EI) and resistance to disturbance (structure, SI) indices to characterize the soil food web (SFW) and soil health conditions of Ferralsol, Lithosol and Nitosol soil groups in Ghana, Kenya and Malawi. We applied bivariate correlations of EI, SI, soil pH, soil organic carbon (SOC), and texture (sand, silt and clay) to identify integrated indicator parameters, and principal component analysis (PCA) to determine how all measured parameters, soil groups, and countries align. A total of 512 georeferenced soil samples from disturbed (agricultural) and undisturbed (natural vegetation) landscapes were analyzed. Nematode trophic group abundance was low and varied by soil group, landscape and country. The resource-limited and degraded SFW conditions separated by soil groups and by country. EI and SI correlation with SOC varied by landscape, soil group or country. PCA alignment showed separation of soil groups within and across countries. The study developed the first biophysicochemical proof-of-concept that the soil groups need to be treated separately when formulating scalable soil health management strategies in SSA.


Author(s):  
Fiorella Pia Salvatore ◽  
Alessia Spada ◽  
Francesca Fortunato ◽  
Demetris Vrontis ◽  
Mariantonietta Fiore

The purpose of this paper is to investigate the determinants influencing the costs of cardiovascular disease in the regional health service in Italy’s Apulia region from 2014 to 2016. Data for patients with acute myocardial infarction (AMI), heart failure (HF), and atrial fibrillation (AF) were collected from the hospital discharge registry. Generalized linear models (GLM), and generalized linear mixed models (GLMM) were used to identify the role of random effects in improving the model performance. The study was based on socio-demographic variables and disease-specific variables (diagnosis-related group, hospitalization type, hospital stay, surgery, and economic burden of the hospital discharge form). Firstly, both models indicated an increase in health costs in 2016, and lower spending values for women (p < 0.001) were shown. GLMM indicates a significant increase in health expenditure with increasing age (p < 0.001). Day-hospital has the lowest cost, surgery increases the cost, and AMI is the most expensive pathology, contrary to AF (p < 0.001). Secondly, AIC and BIC assume the lowest values for the GLMM model, indicating the random effects’ relevance in improving the model performance. This study is the first that considers real data to estimate the economic burden of CVD from the regional health service’s perspective. It appears significant for its ability to provide a large set of estimates of the economic burden of CVD, providing information to managers for health management and planning.


2021 ◽  
Vol 22 (20) ◽  
pp. 11202
Author(s):  
Kirim Hong ◽  
Soo Hyun Kim ◽  
Dong Hyun Cha ◽  
Hee Jin Park

Preeclampsia is a complex hypertensive disorder in pregnancy which can be lethal and is responsible for more than 70,000 maternal deaths worldwide every year. Besides the higher risk of unfavorable obstetric outcomes in women with preeclampsia, another crucial aspect that needs to be considered is the association between preeclampsia and the postpartum cardiovascular health of the mother. Currently, preeclampsia is classified as one of the major risk factors of cardiovascular disease (CVD) in women, which doubles the risk of venous thromboembolic events, stroke, and ischemic heart disease. In order to comprehend the pathophysiology behind the linkage between preeclampsia and the development of postpartum CVD, a thorough understanding of the abnormal uteroplacental vascular remodeling in preeclampsia is essential. Therefore, this review aims to summarize the current knowledge of the defective process of spiral artery remodeling in preeclampsia and how the resulting placental damage leads to excessive angiogenic imbalance and systemic inflammation in long term CVD. Key molecular factors in the pathway—including novel findings of microRNAs—will be discussed with suggestions of future management strategies of preventing CVD in women with a history of preeclampsia.


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