Empaglifozin in HFrEF: A retrospective study in a local cardiology clinic setting (EmHeart)- an interim analysis

2021 ◽  
Vol 345 ◽  
pp. 41
Author(s):  
V.S. Yong ◽  
S.F. Liew ◽  
M.I. Sidek ◽  
O. Yanggau ◽  
S.L. Tan ◽  
...  
e-CliniC ◽  
2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Jery Wambrauw ◽  
Edmond L. Jim ◽  
Victor F. F. Joseph

Abstract: AV Block conduction is an abnormality in which the impulse from the atrium has a delayed conduction or no conduction at all to the ventricle. This abnormality is classified as AV Block first degree, second degree, and third degree, depending on the severity of the abnormality. This was a descriptive retrospective study using second data as the reference. This study was aimed to obtain the prevalence of atrioventricular block at Cardiology Clinic Prof. Dr. R. D. Kandou Hospital Manado during 2013 – 2014. The results showed that of 40 patients, the highest percentage of cases had third degree AV block (21 patients; 53%), age group of 70-79 years (33%). Based on gender, there was the same number of cases of males and females, but the classification based on the degree of AV block showed that there were more male patients diagnosed as AV block first degree while there were more female patients diagnosed as third degree AV block. Hypertension was commonly found in the patients diagnosed as AV block as many as 18 patients (27%). Based on the chief complaint, most had difficulty of breathing (28%). However, each degree of the AV block had varied chief complaints and different kind of therapy. Based on the management, 77% of the patients had medical therapy with different kinds of medication.Keywords: AV block Abstrak: Blok konduksi AV merupakan kelainan yang mana impuls dari atrium dikonduksikan terlambat atau bahkan tidak dikonduksikan sama sekali ke ventrikel. Kelainan ini diklasifikasikan sebagai blok AV derajat satu, dua, dan tiga, tergantung pada keparahan abnormalitasnya. Penelitian dan bertujuan untuk mengetahui prevalensi blokade atrio-ventrikular di poli jantung RSUP Prof. Dr. R. D. Kandou Manado selama selang waktu 2013 – 2014. Jenis penelitian ialah deskriptif retrospektif menggunakan data sekunder sebagai acuan. Hasil penelitian mendapatkan dari 40 pasien, terbanyak ditemukan ialah AV blok derajat III (21 pasien; 53%); kelompok usia 70-79 tahun (33%). Berdasarkan jenis kelamin didapatkan jumlah yang sama antara pasien laki-laki dan perempuan, namun dalam pembagian berdasarkan derajat AV blok didapatkan pasien laki-laki lebih banyak dengan diagnosis AV blok derajat I sedangkan perempuan lebih banyak pada AV blok derajat III. Penyakit penyerta terbanyak ditemukan ialah hipertensi (18 pasien; 27%). Berdasarkan keluhan penyerta pada pasien AV blok terbanyak ditemukan ialah sesak nafas (28%) namun untuk masing-masing derajat AV blok keluhan yang paling sering dialami berbeda-beda, dan berdasarkan penatalaksanaan yang diberikan 77% pasien di terapi dengan obat-obatan.Kata kunci: AV blok


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Sarah Berry ◽  
Paul Franks ◽  
Nicola Segata ◽  
Andrew Chan ◽  
Richard Davies ◽  
...  

AbstractPostprandial lipemia is an independent risk factor for CVD, due to effects on lipoprotein remodelling, oxidative stress, inflammation, haemostasis and endothelial dysfunction. However, it is unknown whether the total, peak or duration of the lipemic response determines risk. The PREDICT I study is the largest study to date to measure postprandial lipemic responses and intermediary acutely changing cardiometabolic risk factors at multiple time points using a standardized test meal model.A multi-center postprandial study of 1,000 individuals from the UK (unrelated, identical and non-identical twins) and 100 unrelated individuals from the US, assessed postprandial (hourly 0–6h) metabolic responses to sequential mixed-nutrient dietary challenges (50 g fat, 85 g carbohydrate at 0 h; 22 g fat, 71 g carbohydrate at 4h) in a clinic setting. We investigated the relationship of different postprandial triacylglycerol (TG) measures (4 and 6 h TG iAUC, 4 and 6 h TG concentration, 4 and 6 h TG increase from fasting) with lipoprotein remodelling (XXL-VLDL (including chylomicron remnants and VLDL particles) and XL-VLDL particle concentrations (average diameters > 75, 64 nm respectively), HDL-C) and levels of glycosylated acute phase proteins (GlycA; marker of cardiovascular inflammation), all of which have been implicated as independent predictors of CVD risk.Following adjustment (for use of medication, demographic characteristics, fasting TG, insulin and glucose levels), all six postprandial TG measures (4 and 6 h TG iAUC, 4 and 6 h TG concentration, 4 and 6 h TG increase from fasting) were strongly correlated with markers of atherogenic lipoprotein remodelling and the marker of cardiovascular inflammation (GlycA). The strongest correlation (interim analysis) was observed for the 6 h TG increase from fasting (all P < 0.001, Pearson's coefficient r = 0.94 [95%CI's; 0.93, 0.95] for XXL-VLDL-P; r = 0.95 [95%CI's; 0.95, 0.96] for XL-VLDL-P; r = 0.89 [95%CI's; 0.88, 0.91] for GlycA ; r = -0.61 [95%CI's; -0.66, -0.55] for HDL-C). Inter-individual variability in postprandial lipemic responses was high in the tightly controlled clinic setting (interim analysis, n = 656); IQR (median) was; iAUC (0–6h) 2.39 (2.31) mmol/L.h; Cmax 1.32 (2.06) mmol/L; Tmax 30.0 (300) min; and increase above fasting at 6 h 0.78 (0.62) mmol/L.This is the most detailed postprandial study performed to date and suggests that identifying predictors of the postprandial 6 h TG rise will have the highest CVD relevance. Ongoing exploration in PREDICT I of the determinants of postprandial lipemic responses considering environmental, genetic and microbiome variables will significantly advance our ability to predict an individual's postprandial response and its links to cardiovascular risk.


2021 ◽  
pp. jim-2021-001800
Author(s):  
Aaron A Phillips ◽  
Craig A Sable ◽  
Shireen M Atabaki ◽  
Christina Waggaman ◽  
James E Bost ◽  
...  

We performed a retrospective study of cardiology telemedicine visits at a large academic pediatric center between 2016 and 2019 (pre COVID-19). Telemedicine patient visits were matched to data from their previous in-person visits, to evaluate any significant differences in total charge, insurance compensation, patient payment, percent reimbursement and zero reimbursement. Miles were measured between patient’s home and the address of previous visit. We found statistically significant differences in mean charges of telemedicine versus in-person visits (2019US$) (172.95 vs 218.27, p=0.0046), patient payment for telemedicine visits versus in-person visits (2019US$) (11.13 vs 62.83, p≤0.001), insurance reimbursement (2019US$) (65.18 vs 110.85, p≤0.001) and insurance reimbursement rate (43% vs 61%, p=0.0029). Rate of zero reimbursement was not different. Mean distance from cardiology clinic was 35 miles. No adverse outcomes were detected. This small retrospective study showed cost reduction and a decrease in travel time for families participating in telemedicine visits. Future work is needed to enhance compensation for telemedicine visits.


2019 ◽  
Vol 62 (3) ◽  
pp. 577-586 ◽  
Author(s):  
Garnett P. McMillan ◽  
John B. Cannon

Purpose This article presents a basic exploration of Bayesian inference to inform researchers unfamiliar to this type of analysis of the many advantages this readily available approach provides. Method First, we demonstrate the development of Bayes' theorem, the cornerstone of Bayesian statistics, into an iterative process of updating priors. Working with a few assumptions, including normalcy and conjugacy of prior distribution, we express how one would calculate the posterior distribution using the prior distribution and the likelihood of the parameter. Next, we move to an example in auditory research by considering the effect of sound therapy for reducing the perceived loudness of tinnitus. In this case, as well as most real-world settings, we turn to Markov chain simulations because the assumptions allowing for easy calculations no longer hold. Using Markov chain Monte Carlo methods, we can illustrate several analysis solutions given by a straightforward Bayesian approach. Conclusion Bayesian methods are widely applicable and can help scientists overcome analysis problems, including how to include existing information, run interim analysis, achieve consensus through measurement, and, most importantly, interpret results correctly. Supplemental Material https://doi.org/10.23641/asha.7822592


2020 ◽  
Vol 47 (6) ◽  
pp. 855.e3
Author(s):  
C. Cannarozzo ◽  
P. Kirch ◽  
L. Campoy ◽  
R. Gleed ◽  
M. Martin-Flores
Keyword(s):  

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