Genotype by environment interactions for body weight in Mediterranean buffaloes using reaction norm models / Interacción genotipo × ambiente para peso corporal de búfalos Mediterráneos utilizando modelos de norma de reacción / Interação genótipo × ambiente para peso corporal de búfalos Mediterrâneos utilizando modelos de norma de reação

Abstract Background: Buffalo breeding has significantly increased in Brazil over recent years. However, few genetic evaluations have been conducted. Objective: To assess Genotype x Environment Interactions in the Mediterranean Water Buffalo in Brazil, for weight at 205 days of age, using reaction norm models via random regression. Methods: Data for buffaloes born between 1990 and 2014 were collected from five farms ascribed to the Brazilian Buffaloe Improvement Program, located in the North (1), Northeast (1), South (2) and Southeast (1) regions of Brazil. The initial database consisted of 5,280 observations at 205 days of age (W205). We assessed fit using two hierarchical reaction norm models: a two-step (HRNM2s) and a one-step (HRNM1s). Model fit was estimated using the Deviance Information Criterion, Deviance Based on Bayes Factors and Deviance based on Conditional Predictive Ordinate. The environmental descriptors were created to group individuals into common production environments based on year, season, herd and sex. Results: The best fit was obtained for the hierarchical reaction norm model with one-step (HRNM1s). Direct heritability estimates for this model ranged from 0.17 to 0.67 and the maternal heritability from 0.02 to 0.11 with increasing environmental gradient. Lower correlations among the sire classifications were obtained in comparison with HRNM1s in environments with low and high management, confirming the presence of genotype x environment interactions. Conclusion: We recommend a wider application of genetic evaluation in buffalo aimed at identifying optimal genotypes within specific environments.

Resumen Antecedentes: La cría de búfalos ha aumentado significativamente en Brasil en los últimos años. Sin embargo, se han realizado escasas evaluaciones genéticas. Objetivo: Evaluar las interacciones genotipo x ambiente en búfalos de agua Mediterráneos criados en Brasil, para peso a los 205 días de edad, utilizando modelos de reacción mediante regresión aleatoria. Métodos: Los datos de búfalos nacidos entre 1990 y 2014 se obtuvieron de cinco granjas situadas en el Norte (1), Nordeste (1), Sur (2) y del Sureste (1) de Brasil. Todas estas haciendas participan en el Programa Brasileño de Mejoramiento de Búfalos. Nuestra base de datos inicial consistió de 5.280 observaciones a los 205 días de edad (P205). Evaluamos el ajuste utilizando dos modelos de norma de reacción jerárquica: de dos pasos (HRNM2s) y un paso (HRNM1s). El ajuste del modelo se estimó usando el Criterio de información de la desviación, desviación basado en los factores de bayes y desviación basado en la ordenación predictiva condicional. Los descriptores ambientales fueron creados para agrupar individuos en ambientes de producción comunes basados en año, estación, rebaño y sexo. Resultados: El mejor ajuste se obtuvo para el modelo de norma de reacción jerárquica con un paso (HRNM1s). Las estimaciones de heredabilidad directa para este modelo variaron de 0,17 a 0,67 y la heredabilidad materna de 0,02 a 0,11 con gradiente ambiental creciente. Las correlaciones más bajas entre las clasificaciones de los reproductores se obtuvieron en comparación con las HRNM1s, en ambientes con bajo y alto manejo, confirmando la presencia de interacciones genotipo x ambiente. Conclusiones: Recomendamos la aplicación amplia de la evaluación genética en búfalos para identificar genotipos óptimos en ambientes específicos.

Resumo Antecedentes: A criação de búfalos aumentou significativamente no Brasil nos últimos anos. No entanto, eles raramente foram objeto de avaliações genéticas. Objetivo: Avaliar as interações genótipo x ambiente em búfalo Mediterrâneo criados no Brasil, para peso aos 205 dias de idade, utilizando modelos de reação por meio de regressão aleatória. Métodos: Os dados para búfalos de água do Mediterrâneo nascidos entre 1990 e 2014 foram coletados de cinco fazendas localizadas nas regiões Norte (1), Nordeste (1), Sul (2) e Sudeste (1) do Brasil. Todas essas fazendas participam do Programa Brasileiro de Melhoramento dos Búfalos. Nosso banco de dados inicial consistiu de 5.280 observações aos 205 dias de idade (P205). Nós avaliamos o ajuste usando dois modelos de norma de reação hierárquica: um de dois passos (HRNM2s) e um passo (HRNM1s). O ajuste do modelo foi estimado usando o Critério de informações do desvio, desvio baseado nos fatores de bayes e desvio baseado na ordenação preditiva condicional. Os descritores ambientais foram criados para agrupar indivíduos em ambientes de produção comuns baseados em ano, estação, rebanho e sexo. Resultados: O melhor ajuste foi obtido para o modelo de norma de reação hierárquica com um passo (HRNM1s). As estimativas de herdabilidade direta para este modelo variaram de 0,17 a 0,67 e a herdabilidade materna de 0,02 a 0,11 com gradiente ambiental crescente. As correlações mais baixas entre as classificações dos reprodutores foram obtidas em comparação com as HRNM1s, em ambientes com baixo e alto manejo, confirmando a presença de interações genótipo x ambiente. Conclusões: Recomendamos a aplicação mais ampla da avaliação genética em búfalos visando identificar genótipos ótimos em ambientes específicos.

Prediction of Death After Noncardiac Surgery: Potential Advantage of Using High-Sensitivity Troponin T as a Continuous Variable.

Background Increased high-sensitivity cardiac troponin T (hs-cTnT) above the upper reference limit (URL) after noncardiac surgery identifies patients at risk for mortality. Prior studies have not analyzed hs-cTnT as a continuous variable or probed age- and sex-specific URLs. This study compared the prediction of 30-day mortality using continuous postoperative hs-cTnT levels to the use of the overall URL and age- and sex-specific URLs. Methods and Results Patients (876) >40 years of age who underwent noncardiac surgery were included. Hs-cTnT was measured on postoperative day 1. Cox proportional hazards models were used to compare associations between 30-day mortality and using hs-cTnT as a continuous variable, or above the overall or age- and sex-specific URLs. Comparisons were performed by the area under the receiver operating characteristic curve analysis. Mortality was 4.2%. For each 1 ng/L increase in postoperative hs-cTnT, there was a 0.3% increase in mortality (P<0.001). Patients with postoperative hs-cTnT >14 ng/L were 37% of the cohort, while those above age- and sex-specific URLs were 25.3%. Both manifested higher mortality (hazard ratio [HR], 3.19; 95% CI, 1.20-8.49; P=0.020) and (HR, 2.76; P=0.009) than those with normal levels. The area under receiver operating characteristic curve was 0.89 using hs-cTnT as a continuous variable, 0.87 for age- and sex-specific URLs, and 0.86 for the overall URL. Conclusions Hs-cTnT as a continuous variable was independently associated with 30-day mortality and had the highest accuracy. Hs-cTnT elevations using overall and/or age- and sex-specific URLs were also associated with higher mortality.

Incidence and mortality of acute kidney injury after myocardial infarction: a comparison between KDIGO and RIFLE criteria.

BACKGROUND: Acute kidney injury (AKI) increases the risk of death after acute myocardial infarction (AMI). Recently, a new AKI definition was proposed by the Kidney Disease Improving Global Outcomes (KDIGO) organization. The aim of the current study was to compare the incidence and the early and late mortality of AKI diagnosed by RIFLE and KDIGO criteria in the first 7 days of hospitalization due to an AMI. METHODS AND RESULTS: In total, 1,050 AMI patients were prospectively studied. AKI defined by RIFLE and KDIGO occurred in 14.8% and 36.6% of patients, respectively. By applying multivariate Cox analysis, AKI was associated with an increased adjusted hazard ratio (AHR) for 30-day death of 3.51 (95% confidence interval [CI] 2.35-5.25, p<0.001) by RIFLE and 3.99 (CI 2.59-6.15, p<0.001) by KDIGO and with an AHR for 1-year mortality of 1.84 (CI 1.12-3.01, p=0.016) by RIFLE and 2.43 (CI 1.62-3.62, p<0.001) by KDIGO. The subgroup of patients diagnosed as non-AKI by RIFLE but as AKI by KDIGO criteria had also an increased AHR for death of 2.55 (1.52-4.28) at 30 days and 2.28 (CI 1.46-3.54) at 1 year (p<0.001). CONCLUSIONS: KDIGO criteria detected substantially more AKI patients than RIFLE among AMI patients. Patients diagnosed as AKI by KDIGO but not RIFLE criteria had a significantly higher early and late mortality. In this study KDIGO criteria were more suitable for AKI diagnosis in AMI patients than RIFLE criteria.

Renal function at hospital admission and mortality due to acute kidney injury after myocardial infarction.

BACKGROUND: The role of an impaired estimated glomerular filtration rate (eGFR) at hospital admission in the outcome of acute kidney injury (AKI) after acute myocardial infarction (AMI) has been underreported. The aim of this study was to assess the influence of an admission eGFR<60 mL/min/1.73 m(2) on the incidence and early and late mortality of AMI-associated AKI. METHODS: A prospective study of 828 AMI patients was performed. AKI was defined as a serum creatinine increase of ≥ 50% from the time of admission (RIFLE criteria) in the first 7 days of hospitalization. Patients were divided into subgroups according to their eGFR upon hospital admission (MDRD formula, mL/min/1.73 m(2)) and the development of AKI: eGFR ≥ 60 without AKI, eGFR<60 without AKI, eGFR ≥ 60 with AKI and eGFR<60 with AKI. RESULTS: Overall, 14.6% of the patients in this study developed AKI. The admission eGFR had no impact on the incidence of AKI. However, the admission eGFR was associated with the outcome of AMI-associated AKI. The adjusted hazard ratios (AHR, Cox multivariate analysis) for 30-day mortality were 2.00 (95% CI 1.11-3.61) for eGFR<60 without AKI, 4.76 (95% CI 2.45-9.26) for eGFR ≥ 60 with AKI and 6.27 (95% CI 3.20-12.29) for eGFR<60 with AKI. Only an admission eGFR of <60 with AKI was significantly associated with a 30-day to 1-year mortality hazard (AHR 3.05, 95% CI 1.50-6.19). CONCLUSIONS: AKI development was associated with an increased early mortality hazard in AMI patients with either preserved or impaired admission eGFR. Only the association of impaired admission eGFR and AKI was associated with an increased hazard for late mortality among these patients.

Effect of kidney disease on acute coronary syndrome.

Chronic kidney disease (CKD) is highly prevalent worldwide and is associated with an increased risk for adverse outcomes in patients hospitalized with acute coronary syndrome (ACS). In studies including thousands of patients admitted with myocardial infarction, CKD consistently determines a poorer prognosis for ACS patients. In contrast with CKD, information about the effect of acute kidney injury (AKI) on clinical outcomes after ACS is limited. Most data come from retrospective registry databank studies of nonconsecutive patients with a significant number of patients excluded from analyses. There are no prospective studies designed to determine whether AKI strictly diagnosed by the new the Acute Kidney Injury Network (AKIN) or RIFLE (Risk, Injury, Failure, Loss, and End-stage kidney disease) criteria is a risk factor for death after ACS, and there are no data comparing the RIFLE and AKIN criteria for AKI diagnosis after myocardial infarction. This article reviews the most important data on CKD and ACS and the available data on AKI and ACS. The importance of obtaining an early serum creatinine level after admission for ACS and the importance of renal function monitoring during hospitalization are stressed.