scholarly journals An ecological study of chronic kidney disease in five Mesoamerican countries: associations with crop and heat

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Erik Hansson ◽  
Ali Mansourian ◽  
Mahdi Farnaghi ◽  
Max Petzold ◽  
Kristina Jakobsson
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Regression Models ◽  
Ecological Study ◽  
Hospital Admissions ◽  
Spatial Regression ◽  
Climate Data ◽  
Lower Intensity ◽  
Individual Level ◽  
Spatial Regression Models

Abstract Background Mesoamerica is severely affected by an epidemic of Chronic Kidney Disease of non-traditional origin (CKDnt), an epidemic with a marked variation within countries. We sought to describe the spatial distribution of CKDnt in Mesoamerica and examine area-level crop and climate risk factors. Methods CKD mortality or hospital admissions data was available for five countries: Mexico, Guatemala, El Salvador, Nicaragua and Costa Rica and linked to demographic, crop and climate data. Maps were developed using Bayesian spatial regression models. Regression models were used to analyze the association between area-level CKD burden and heat and cultivation of four crops: sugarcane, banana, rice and coffee. Results There are regions within each of the five countries with elevated CKD burden. Municipalities in hot areas and much sugarcane cultivation had higher CKD burden, both compared to equally hot municipalities with lower intensity of sugarcane cultivation and to less hot areas with equally intense sugarcane cultivation, but associations with other crops at different intensity and heat levels were not consistent across countries. Conclusion Mapping routinely collected, already available data could be a first step to identify areas with high CKD burden. The finding of higher CKD burden in hot regions with intense sugarcane cultivation which was repeated in all five countries agree with individual-level studies identifying heavy physical labor in heat as a key CKDnt risk factor. In contrast, no associations between CKD burden and other crops were observed.

Abstract P255: Association of Mild Chronic Kidney Disease with Venous Thromboembolism: Pooled Analysis of Prospective General Population Cohorts

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Bakhtawar K Mahmoodi ◽  
Ron T Gansevoort ◽  
Inger Anne Naess ◽  
Pamela L Lutsey ◽  
Sigrid K Braekkan ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Venous Thromboembolism ◽  
Kidney Disease ◽  
General Population ◽  
Cox Regression ◽  
Meta Analysis ◽  
Random Effect ◽  
Pooled Analysis ◽  
Individual Level ◽  
Increased Risk

Background: Recent findings suggest that mild chronic kidney disease (CKD) might be associated with increased risk of venous thromboembolism (VTE). However, results were partially inconsistent, which may be due to lack of power. We therefore performed a meta-analysis to investigate the association between mild CKD and VTE incidence. Methods: A literature search was performed to retrieve community-based cohorts with information on the association of estimated glomerular filtration rate (eGFR) and albuminuria with VTE. Five cohorts were identified that were pooled on individual level. To obtain pooled hazard ratios (HRs) for VTE, linear spline models were fitted using Cox regression with shared-frailty. Models were adjusted for age, sex, hypertension, total cholesterol, smoking, diabetes, history of cardiovascular disease and body-mass index. Random-effect meta-analysis was used to obtain adjusted pooled HRs of VTE with CKD versus no CKD. Results: The analysis included 95,154 participants with 1,178 VTE cases and 599,453 person-years of follow-up. Risk of VTE increased continuously with lower eGFR and higher ACR (Figure). Compared with eGFR 100 mL/min/1.73m², pooled adjusted HRs for VTE were 1.3 (1.0–1.7) for eGFR 60, 1.8 (1.3–2.6) for 45 and 1.9 (1.2–2.9) for 30 mL/min/1.73m². Compared with albumin-creatinine ratio (ACR) 5 mg/g, pooled adjusted HRs for VTE were 1.3 (1.04–1.7) for ACR 30, 1.6 (1.1–2.4) for 300 and 1.9 (1.2–3.1) for 1000 mg/g. There was no evidence for interaction between eGFR and ACR (P=0.22). The pooled adjusted HR for CKD (eGFR <60 ml/min/1.73m² or albuminuria ≥30 mg/g) vs. no CKD was 1.5 (95%CI, 1.2–2.1). Results were similar for idiopathic and provoked VTE. Conclusion: Both reduced eGFR and elevated albuminuria are novel independent predictors of VTE in the general population.

scholarly journals Mortality due to acquired immunodeficiency syndrome and associated social factors: a spatial analysis

2020 ◽  
Vol 73 (suppl 5) ◽  
Author(s):  
Thatiana Araújo Maranhão ◽  
Carlos Henrique Alencar ◽  
Mônica de Avelar Figueiredo Mafra Magalhães ◽  
George Jó Bezerra Sousa ◽  
Leonardo Miranda Ribeiro ◽  
...  
Keyword(s):  
Social Factors ◽  
Regression Models ◽  
Ecological Study ◽  
Spatial Regression ◽  
Social Indicators ◽  
The Elderly ◽  
Income Generation ◽  
Factors Associated ◽  
Acquired Immunodeficiency ◽  
Immunodeficiency Syndrome

ABSTRACT Objective: To analyze the spatial pattern of AIDS mortality and social factors associated with its occurrence. Methods: An ecological study that considered 955 AIDS deaths of residents in Piauí, reported in the Mortality Information System (MIS) from 2007 to 2015. Non-spatial and spatial regression models were used to identify social determinants of AIDS mortality, with a significance of 5%. Results: The predictors of AIDS mortality were illiteracy rate in males (p = 0.020), proportion of households with water supply (p = 0.015), percentage of people in households with inadequate walls (p = 0.022), percentage of people in households vulnerable to poverty and in whom no one has completed primary education (p = 0.000) and percentage of people in households vulnerable to poverty and dependent on the elderly (p = 0.009). Conclusion: Social indicators related to education, job and income generation and housing were associated with AIDS mortality.

Abstract 15645: Carotid Artery Stenting and Endarterectomy in Patients With Stage 5 Chronic Kidney Disease: Insights of the Healthcare Cost and Utilization Project’s National Inpatient Sample

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Fabio V Lima ◽  
Tzyy Y Yen ◽  
Luis Gruberg
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Carotid Artery ◽  
Healthcare Cost ◽  
Carotid Artery Stenting ◽  
Hospital Admissions ◽  
Multivariable Analysis ◽  
Hospital Death ◽  
National Inpatient Sample ◽  
Artery Disease

Background: Carotid artery stenting (CAS) has evolved into a viable alternative for the treatment of symptomatic and asymptomatic high-grade carotid artery stenosis, particularly in patients considered to be at a high surgical risk for carotid endarterectomy (CEA). Hypothesis: There is limited data on the outcomes of patients with stage 5 chronic kidney disease (CKD) (GFR<15 mL/min/1.73 m 2 or dialysis) undergoing CEA or CAS. Methods: The Healthcare Cost and Utilization Project’s National Inpatient Sample was screened for hospital admissions of patients undergoing CAS and CEA from 2003-2012. Baseline clinical characteristics and outcomes were identified in patients with stage 5 CKD. The primary outcome was major adverse cardiac and cerebrovascular events (MACCE), defined as the composite of in-hospital death, acute myocardial infarction and acute cerebrovascular accident (CVA). Results: Our study population consisted of 1,723 patients that underwent CEA and 544 patients that underwent CAS. Patients undergoing CAS were younger and had significantly lower rates of coronary artery disease, hypertension and hyperlipidemia. CAS patients experienced significantly higher rates of MACCE compared with patients that underwent CEA, mainly driven by a higher rate of in-hospital strokes (Fig. 1). In a multivariable analysis, CAS (OR 1.53, 95% CI 1.19-1.98) was an independent predictor of MACCE. Conclusions: In patients with stage 5 CKD (GFR<15 mL/min/1.73 m 2 or dialysis ) undergoing internal carotid artery revascularization, CAS was associated with higher rates of in-hospital MACCE, driven by higher mortality and stroke rates when compared with CEA.

Irrigation Water Valuation Using Spatial Hedonic Models in GIS Environment

2012 ◽  
pp. 308-320
Author(s):  
Zisis Mallios
Keyword(s):  
Irrigation Water ◽  
Regression Models ◽  
Spatial Regression ◽  
Hedonic Pricing ◽  
Spatial Lag Model ◽  
Hedonic Pricing Method ◽  
Spatial Weights Matrix ◽  
Spatial Regression Models ◽  
Gis Environment ◽  
Value Of Irrigation Water

Hedonic pricing is an indirect valuation method that applies to heterogeneous goods investigating the relationship between the prices of tradable goods and their attributes. It can be used to measure the value of irrigation water through the estimation of the model that describes the relation between the market value of the land parcels and its characteristics. Because many of the land parcels included in a hedonic pricing model are spatial in nature, the conventional regression analysis fails to incorporate all the available information. Spatial regression models can achieve more efficient estimates because they are designed to deal with the spatial dependence of the data. In this paper, the authors present the results of an application of the hedonic pricing method on irrigation water valuation obtained using a software tool that is developed for the ArcGIS environment. This tool incorporates, in the GIS application, the estimation of two different spatial regression models, the spatial lag model and the spatial error model. It also has the option for different specifications of the spatial weights matrix, giving the researcher the opportunity to examine how it affects the overall performance of the model.

Specific diseases: renal disease

ESC CardioMed ◽  
2018 ◽  
pp. 2670-2673
Author(s):  
Susanna Price
Keyword(s):  
Cardiovascular Disease ◽  
Chronic Kidney Disease ◽  
Acute Kidney Injury ◽  
Risk Factor ◽  
Kidney Disease ◽  
Renal Disease ◽  
Independent Risk Factor ◽  
Hospital Admissions ◽  
Kidney Injury ◽  
Potential Methods

Chronic kidney disease is a global health burden, with an estimated prevalence of 11–13%, with the majority of patients diagnosed as stage 3, and is an independent risk factor for cardiovascular disease. The incidence of acute kidney injury is increasing, and estimated to be present in one in five acute hospital admissions, and there is a bidirectional relationship between acute and chronic kidney disease. The relevance to the patient with cardiovascular disease relates to increased perioperative risk, as reduced kidney function is an independent risk factor for adverse postoperative cardiovascular outcomes including myocardial infarction, stroke, and progression of heart failure. Furthermore, patients undergoing cardiovascular investigations are at risk of developing acute kidney injury, in particular where iodinated contrast is administered. This chapter reviews the classification of renal disease and its impact on cardiovascular disease, as well as potential methods for reducing the development of contrast-induced acute kidney injury.

Irrigation Water Valuation Using Spatial Hedonic Models in GIS Environment

2010 ◽  
Vol 1 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Zisis Mallios
Keyword(s):  
Irrigation Water ◽  
Regression Models ◽  
Spatial Regression ◽  
Software Tool ◽  
Hedonic Pricing ◽  
Spatial Error ◽  
Spatial Lag Model ◽  
Spatial Weights Matrix ◽  
Lag Model ◽  
Spatial Regression Models

Hedonic pricing is an indirect valuation method that applies to heterogeneous goods investigating the relationship between the prices of tradable goods and their attributes. It can be used to measure the value of irrigation water through the estimation of the model that describes the relation between the market value of the land parcels and its characteristics. Because many of the land parcels included in a hedonic pricing model are spatial in nature, the conventional regression analysis fails to incorporate all the available information. Spatial regression models can achieve more efficient estimates because they are designed to deal with the spatial dependence of the data. In this paper, the authors present the results of an application of the hedonic pricing method on irrigation water valuation obtained using a software tool that is developed for the ArcGIS environment. This tool incorporates, in the GIS application, the estimation of two different spatial regression models, the spatial lag model and the spatial error model. It also has the option for different specifications of the spatial weights matrix, giving the researcher the opportunity to examine how it affects the overall performance of the model.

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