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1.
Diabetol Metab Syndr ; 3(1): 1, 2011 Jan 12.
Article in English | MEDLINE | ID: mdl-21226946

ABSTRACT

BACKGROUND: While several studies have identified the anaerobic threshold (AT) through the responses of blood lactate, ventilation and blood glucose others have suggested the response of the heart rate variability (HRV) as a method to identify the AT in young healthy individuals. However, the validity of HRV in estimating the lactate threshold (LT) and ventilatory threshold (VT) for individuals with type 2 diabetes (T2D) has not been investigated yet. AIM: To analyze the possibility of identifying the heart rate variability threshold (HRVT) by considering the responses of parasympathetic indicators during incremental exercise test in type 2 diabetics subjects (T2D) and non diabetics individuals (ND). METHODS: Nine T2D (55.6 ± 5.7 years, 83.4 ± 26.6 kg, 30.9 ± 5.2 kg.m2(-1)) and ten ND (50.8 ± 5.1 years, 76.2 ± 14.3 kg, 26.5 ± 3.8 kg.m2(-1)) underwent to an incremental exercise test (IT) on a cycle ergometer. Heart rate (HR), rate of perceived exertion (RPE), blood lactate and expired gas concentrations were measured at the end of each stage. HRVT was identified through the responses of root mean square successive difference between adjacent R-R intervals (RMSSD) and standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) by considering the last 60 s of each incremental stage, and were known as HRVT by RMSSD and SD1 (HRVT-RMSSD and HRVT-SD1), respectively. RESULTS: No differences were observed within groups for the exercise intensities corresponding to LT, VT, HRVT-RMSSD and HHVT-SD1. Furthermore, a strong relationship were verified among the studied parameters both for T2D (r = 0.68 to 0.87) and ND (r = 0.91 to 0.98) and the Bland & Altman technique confirmed the agreement among them. CONCLUSION: The HRVT identification by the proposed autonomic indicators (SD1 and RMSSD) were demonstrated to be valid to estimate the LT and VT for both T2D and ND.

2.
Rev. IATROS ; 6(1): 3-12, jan.-jun. 1987. tab, ilus
Article in Portuguese | LILACS | ID: lil-57371

ABSTRACT

Sendo ampla a gama de dados eletrocardiográficos (ECG) referidos pelos investigadores na hipertrofia septal assimétrica (HSA), os autores objetivaram encontrar aqueles capazes de contribuir para o seu diagnóstico nos casos em que o ecocardiograma (ECO) em módulo M é normal. Para tanto, pesquisaram as relaçöes entre dados ECG e ECO em 20 pacientes, de faixa etária semelhante, com suspeita clínica de HSA, divididos em dois grupos iguais, de acordo com os valores da relaçäo septo/parede posterior (SEP/PP): A, com SEP/PP >- 1,5 B, com SEP/PP <- 1,5. Os achados foram comparados aos de 10 indivíduos com ECO normal, mas cuja suspetia clínica havia sido de prolapso da valva mitral (grupo C). Foram determinados: espessura em mm do septo interventricular (SEP) e da parede posterior do ventrículo esquerdo (PP); relaçäo SEP/PP; freqüência cardíaca, orientaçäo espacial do eixo de AQRS; duraçäo em segundos dos intervalos PR, QT e QTc; amplitude das ondas R e S nas precordiais; soma da amplitude de R em V1 e V2, de R em V5 e V6, de S em V1 e V2, de S em V5 e V6, de R em V1, V2, V5 e V6 (RT); relaçäo R/S em V1; índice de Sokolow. Verificaram-se também as freqüências de alteraçöes da repolarizaçäo ventricular e de ondas Q "patológicas". O tratamento estatístico dos resultados (análise de variância, testes de Tuckey, de correlaçäo e de associaçäo) mostrou: 1) valores de SEP e SEP/PP maiores no grupo A em relaçäo a B e C; 2) valores de R V1 + V2, RT e R/S em V1 maiores no grupo B em relaçäo a C; 3) ausência de correlaçöes significativas entre variáveis ECO e ECG no grupo B; 4) correlaçöes significativas entre SEP e R V2, SEP e R/S em V1, SEP/PP e R V1, SEP/PP e R V2 no grupo A e entre SEP e QTc, SEP e R/S em V1, SEP/PP e QTc, SEP/PP e R/S em V1 no grupo C; 5) associaçöes significativas em relaçäo a R de V1, RT e a onda Q em D1, aVL, V5 e V6


Subject(s)
Adolescent , Adult , Middle Aged , Humans , Male , Female , Cardiomyopathy, Hypertrophic/physiopathology , Echocardiography , Electrocardiography , Analysis of Variance , Heart Rate
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