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1.
Curr Diabetes Rev ; 16(2): 171-180, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31250764

RESUMO

BACKGROUND: Glycemic variability (GV) is an alternative diabetes-related parameter that has been associated with mortality and longer hospitalization periods. There is no ideal method for calculating GV. In this study, we used standard deviation and coefficient of variation due to their suitability for this sample and ease of use in daily clinical practice. OBJECTIVE: This study aimed to investigate the association between GV, hypoglycemia, and the 90-day mortality and length of hospital stay (LOS) among non-critically ill hospitalized elderly patients. METHODS: The medical records of 2,237 elderly patients admitted to the Zilda Arns Elderly Hospital over a 2.5-year period were reviewed. Hypoglycemia was defined as a glucose level <70 mg/dL (hypoglycemia alert value) and represented by the proportion of days in which the patient presented with this condition relative to the LOS. The Charlson comorbidity index was used to evaluate prognosis. Data were analyzed using multiple linear and logistic multivariate regression analyses. RESULTS: Adjusted analysis of 687 patients (305 men [44.4%] and 382 women [55.6%], mean age of 77.86±9.25 years) revealed that GV was associated with a longer LOS (p=0.048). Mortality was associated with hypoglycemia (p=0.005) and mean patient-day blood glucose level (p=0.036). Variables such as age (p<0.001), Charlson score (p<0.001), enteral diet (p<0.001), and corticosteroid use (p=0.007) were also independently associated with 90-day mortality. CONCLUSION: Increased GV during hospitalization is independently associated with a longer LOS and hypoglycemia in non-critically ill elderly patients, while the mean patient-day blood glucose is associated with increased mortality.


Assuntos
Glicemia/análise , Complicações do Diabetes/sangue , Hospitalização/estatística & dados numéricos , Hipoglicemia/sangue , Hipoglicemia/mortalidade , Tempo de Internação/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Brasil/epidemiologia , Feminino , Humanos , Hipoglicemia/diagnóstico , Masculino , Prognóstico , Estudos Retrospectivos , Fatores de Risco
2.
Heart ; 99(18): 1359-64, 2013 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-23886609

RESUMO

OBJECTIVE: To quantify the trend of ischaemic heart disease (IHD) deaths in Brazil during the last decade (2000-2010) for various population characteristics and to forecast the upcoming mortality trends across regions in Brazil until the year 2015. DESIGN: Nationwide comparative observational study. PATIENTS AND METHODS: The population studied encompassed all adult residents (≥ 20 years) living in five Brazilian regions between 2000 and 2010. Demographic, economic and mortality data were obtained from Brazilian National Mortality Data System and National Applied Economics Research Institute. Subnotified deaths were redistributed proportionally to IHD deaths. Age-standardised mortality rates (ASMRs) per 100 000 inhabitants, by sex and region, were calculated employing a standard Brazilian population and constructing multivariate regression models to quantify and to project temporal trends. MAIN OUTCOME MEASURES: Absolute numbers of death due to IHD and region-specific death rates in Brazil by age and sex. RESULTS: During the study period, 627 786 men and 452 690 women died due to IHD in Brazil. ASMR trends across all regions for men and women converged, driven by a declining trend in the South and Southeast and an opposite incline in the North and Northeast (p < 0.05). Future projections demonstrated potential widening of the observed North-South gap in coming years. CONCLUSIONS: The IHD death trend in Brazil has changed from a decline to a stagnant state. However, a significant discrepancy in mortality trends exists between the northern and southern regions, which is likely to widen further. Reappraisal of the public health policies tailored to populations with diverse socioeconomic structures is urgently required.


Assuntos
Isquemia Miocárdica/mortalidade , Adulto , Brasil/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Mortalidade/tendências , Fatores Socioeconômicos , Adulto Jovem
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