Normal limits of the electrocardiogram derived from a large database of Brazilian primary care patients.

BACKGROUND: Knowledge of the normal limits of the electrocardiogram (ECG) is mandatory for establishing which patients have abnormal ECGs. No studies have assessed the reference standards for a Latin American population. Our aim was to establish the normal ranges of the ECG for pediatric and adult Brazilian primary care patients. METHODS: This retrospective observational study assessed all the consecutive 12-lead digital electrocardiograms of primary care patients at least 1 year old in Minas Gerais state, Brazil, recorded between 2010 and 2015. ECGs were excluded if there were technical problems, selected abnormalities were present or patients with selected self-declared comorbidities or on drug therapy. Only the first ECG from patients with multiple ECGs was accepted. The University of Glasgow ECG analysis program was used to automatically interpret the ECGs. For each variable, the 1st, 2nd, 50th, 98th and 99th percentiles were determined and results were compared to selected studies. RESULTS: A total of 1,493,905 ECGs were recorded. 1,007,891 were excluded and 486.014 were analyzed. This large study provided normal values for heart rate, P, QRS and T frontal axis, P and QRS overall duration, PR and QT overall intervals and QTc corrected by Hodges, Bazett, Fridericia and Framingham formulae. Overall, the results were similar to those from other studies performed in different populations but there were differences in extreme ages and specific measurements. CONCLUSIONS: This study has provided reference values for Latinos of both sexes older than 1 year. Our results are comparable to studies performed in different populations.

In-hospital mortality risk prediction after percutaneous coronary interventions: Validating and updating the Toronto score in Brazil.

OBJECTIVES: We aimed to assess the accuracy of the simple, contemporary and well-designed Toronto PCI mortality risk score in ICP-BR registry, the first Brazilian PCI multicenter registry with follow-up information. BACKGROUND: Estimating percutaneous coronary intervention (PCI) mortality risk by a clinical prediction model is imperative to help physicians, patients and family members make informed clinical decisions and optimize participation in the consent process, reducing anxiety and improving quality of care. At a healthcare system level, risk prediction scores are essential to measure and benchmark performance. METHODS: Between 2009 and 2013, a cohort of 4,806 patients from the ICP-BR registry, treated with PCI in eight tertiary referral medical centers, was included in the analysis. This population was compared to 10,694 patients of the derivation dataset from the Toronto study. To assess predictive performance, an update of the model was performed by three different methods, which were compared by discrimination, calculating the area under the receiver operating characteristic curve (AUC), and by calibration, assessed through Hosmer-Lemeshow (H-L) test and graphical analysis. RESULTS: Death occurred in 2.6% of patients in the ICP-BR registry and in 1.3% in the Toronto cohort. The median age was 64 and 63 years, 23.8 and 32.8% were female, 28.6 and 32.3% were diabetics, respectively. Through recalibration of intercept and slope (AUC = 0.8790; H-L P value = 0.3132), we achieved a well-calibrated and well-discriminative model. CONCLUSIONS: After updating to our dataset, we demonstrated that the Toronto PCI in-hospital mortality risk score performed well in Brazilian hospitals.

Comparison of the Clinical-Functional Vulnerability Index and the frailty phenotype for the identification of falls in older individuals: A cross-sectional study.

BACKGROUND: Frailty increases the risk of falls, disability and death in older adults. The Cardiovascular Health Study identified a frailty phenotype (the Fried Phenotype) that was primarily based on physical domains. Instruments that incorporate additional domains (e.g., cognitive, disability or mood) may more accurately identify falls. OBJECTIVES: The study aimed i) to evaluate the association between falls and the number of phenotypes identified by the Fried Phenotype and CFVI-20 scores and ii) to compare the strength of the association between falls and each frailty instrument. METHODS: This study used the CFVI-20 and the Fried Phenotype and reported falls during the last twelve months. Logistic regression models, odds ratios (ORs), and ROC curves were used to identify associations and perform comparisons (p<0.05). The reporting of the study followed the Strobe guidelines. RESULTS: This study included 1,826 individuals (mean 70.9 (SD 7.3) years old). Prevalence of pre-frailty and low vulnerability was high (72% and 69%) and comparable between frailty instruments. The number of Fried phenotypes increased the odds of having fallen in the past 12 months (OR: 1.5 to 29.5) and the CFVI-20 scores (11% increase/unit change). The CFVI-20 identified falls more accurately than the Fried Phenotype (AUC: 0.68 vs. 0.60, p < 0.001). CONCLUSIONS: The number of phenotypes and the CFVI-20 scores were associated with falls; continuous scores identified falls more accurately than categorical classifications. The CFVI-20 was more strongly associated with falls in community-dwelling older adults than the Fried Phenotype.

Providing baseline data for conservation-Heart rate monitoring in captive scimitar-horned oryx.

Heart rate biologging has been successfully used to study wildlife responses to natural and human-caused stressors (e.g., hunting, landscape of fear). Although rarely deployed to inform conservation, heart rate biologging may be particularly valuable for assessing success in wildlife reintroductions. We conducted a case study for testing and validating the use of subcutaneous heart rate monitors in eight captive scimitar-horned oryx (Oryx dammah), a once-extinct species that is currently being restored to the wild. We evaluated biologger safety and accuracy while collecting long-term baseline data and assessing factors explaining variation in heart rate. None of the biologgers were rejected after implantation, with successful data capture for 16-21 months. Heart rate detection accuracy was high (83%-99%) for six of the individuals with left lateral placement of the biologgers. We excluded data from two individuals with a right lateral placement because accuracies were below 60%. Average heart rate for the six scimitar-horned oryx was 60.3 ± 12.7 bpm, and varied by about 12 bpm between individuals, with a minimum of 31 bpm and a maximum of 188 bpm across individuals. Scimitar-horned oryx displayed distinct circadian rhythms in heart rate and activity. Heart rate and activity were low early in the morning and peaked near dusk. Circadian rhythm in heart rate and activity were relatively unchanged across season, but hourly averages for heart rate and activity were higher in spring and summer, respectively. Variation in hourly heart rate averages was best explained by a combination of activity, hour, astronomical season, ambient temperature, and an interaction term for hour and season. Increases in activity appeared to result in the largest changes in heart rate. We concluded that biologgers are safe and accurate and can be deployed in free-ranging and reintroduced scimitar-horned oryx. In addition to current monitoring practices of reintroduced scimitar-horned oryx, the resulting biologging data could significantly aid in 1) evaluating care and management action prior to release, 2) characterizing different animal personalities and how these might affect reintroduction outcomes for individual animals, and 3) identifying stressors after release to determine their timing, duration, and impact on released animals. Heart rate monitoring in released scimitar-horned oryx may also aid in advancing our knowledge about how desert ungulates adapt to extreme environmental variation in their habitats (e.g., heat, drought).

Association between Domains of the Clinical-Functional Vulnerability Index and Falls History in Older Adults: A Cross-Sectional Study.

Objectives: The study aimed to determine which domains, sets, and isolated or combined questions of the Clinical-Functional Vulnerability Index (CFVI-20) are associated with falls history in older adults. Methods: Instruments used were the CFVI-20 assessment and reported falls during the last year. The receiver operating characteristics (ROC) curves identified the performance of the CFVI-20 domains and questions in identifying older adults with and without falls history, while logistic regression identified relevant questions to identify fall history. Results: This study included 1725 individuals (71.9 ± 7.3 years). The area under the curve (AUC) between the CFVI-20 and fall history was 0.69. The mobility domain presented the largest AUC (0.71; p < 0.01), and most isolated domains showed low AUCs (0.51 to 0.58). Isolated questions were limited to identifying fallers. The regression analysis identified 7 questions of the CFVI-20 with falls. Conclusions: The CFVI-20 general score identified older adults with a fall history. When considered in isolation, most domains were limited to identifying falls, except for the mobility domain. Combining the CFVI-20 questions enabled identification of fallers.