6 research outputs found

    Munuaispotilaan sydÀmen vajaatoiminnan lÀÀkehoito kannattaa

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    Incidence of Sudden Cardiac Death and Life-Threatening Arrhythmias in Clinically Manifest Cardiac Sarcoidosis With and Without Current Indications for an Implantable Cardioverter Defibrillator

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    Background: Cardiac sarcoidosis (CS) predisposes to sudden cardiac death (SCD). Guidelines for implantable cardioverter defibrillators (ICDs) in CS have been issued by the Heart Rhythm Society in 2014 and the American College of Cardiology/American Heart Association/Heart Rhythm Society consortium in 2017. How well they discriminate high from low risk remains unknown. Methods: We analyzed the data of 398 patients with CS detected in Finland from 1988 through 2017. All had clinical cardiac manifestations. Histological diagnosis was myocardial in 193 patients (definite CS) and extracardiac in 205 (probable CS). Patients with and without Class I or IIa ICD indications at presentation were identified, and subsequent occurrences of SCD (fatal or aborted) and sustained ventricular tachycardia were recorded, as were ICD indications emerging first on follow-up. Results: Over a median of 4.8 years, 41 patients (10.3%) had fatal (n=8) or aborted (n=33) SCD, and 98 (24.6%) experienced SCD or sustained ventricular tachycardia as the first event. By the Heart Rhythm Society guideline, Class I or IIa ICD indications were present in 339 patients (85%) and absent in 59 (15%), of whom 264 (78%) and 30 (51%), respectively, received an ICD. Cumulative 5-year incidence of SCD was 10.7% (95% CI, 7.4%-15.4%) in patients with ICD indications versus 4.8% (95% CI, 1.2%-19.1%) in those without (chi(2)=1.834, P=0.176). The corresponding rates of SCD were 13.8% (95% CI, 9.1%-21.0%) versus 6.3% (95% CI, 0.7%-54.0%; chi(2)=0.814, P=0.367) in definite CS and 7.6% (95% CI, 3.8%-15.1%) versus 3.3% (95% CI, 0.5%-22.9%; chi(2)=0.680, P=0.410) in probable CS. In multivariable regression analysis, SCD was predicted by definite histological diagnosis (P=0.033) but not by Class I or IIa ICD indications (P=0.210). In patients without ICD indications at presentation, 5-year incidence of SCD, sustained ventricular tachycardia, and emerging Class I or IIa indications was 53% (95% CI, 40%-71%). By the American College of Cardiology/American Heart Association/Heart Rhythm Society guideline, all patients with complete data (n=245) had Class I or IIa indications for ICD implantation. Conclusions: Current ICD guidelines fail to distinguish a truly low-risk group of patients with clinically manifest CS, the 5-year risk of SCD approaching 5% despite absent ICD indications. Further research is needed on prognostic factors, including the role of diagnostic histology. Meanwhile, all patients with CS presenting with clinical cardiac manifestations should be considered for an ICD implantation.Peer reviewe

    Incidence of Sudden Cardiac Death and Life-Threatening Arrhythmias in Clinically Manifest Cardiac Sarcoidosis With and Without Current Indications for an Implantable Cardioverter Defibrillator

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    Background:Cardiac sarcoidosis (CS) predisposes to sudden cardiac death (SCD). Guidelines for implantable cardioverter defibrillators (ICDs) in CS have been issued by the Heart Rhythm Society in 2014 and the American College of Cardiology/American Heart Association/Heart Rhythm Society consortium in 2017. How well they discriminate high from low risk remains unknown.Methods:We analyzed the data of 398 patients with CS detected in Finland from 1988 through 2017. All had clinical cardiac manifestations. Histological diagnosis was myocardial in 193 patients (definite CS) and extracardiac in 205 (probable CS). Patients with and without Class I or IIa ICD indications at presentation were identified, and subsequent occurrences of SCD (fatal or aborted) and sustained ventricular tachycardia were recorded, as were ICD indications emerging first on follow-up.Results:Over a median of 4.8 years, 41 patients (10.3%) had fatal (n=8) or aborted (n=33) SCD, and 98 (24.6%) experienced SCD or sustained ventricular tachycardia as the first event. By the Heart Rhythm Society guideline, Class I or IIa ICD indications were present in 339 patients (85%) and absent in 59 (15%), of whom 264 (78%) and 30 (51%), respectively, received an ICD. Cumulative 5-year incidence of SCD was 10.7% (95% CI, 7.4%-15.4%) in patients with ICD indications versus 4.8% (95% CI, 1.2%-19.1%) in those without (chi(2)=1.834, P=0.176). The corresponding rates of SCD were 13.8% (95% CI, 9.1%-21.0%) versus 6.3% (95% CI, 0.7%-54.0%; chi(2)=0.814, P=0.367) in definite CS and 7.6% (95% CI, 3.8%-15.1%) versus 3.3% (95% CI, 0.5%-22.9%; chi(2)=0.680, P=0.410) in probable CS. In multivariable regression analysis, SCD was predicted by definite histological diagnosis (P=0.033) but not by Class I or IIa ICD indications (P=0.210). In patients without ICD indications at presentation, 5-year incidence of SCD, sustained ventricular tachycardia, and emerging Class I or IIa indications was 53% (95% CI, 40%-71%). By the American College of Cardiology/American Heart Association/Heart Rhythm Society guideline, all patients with complete data (n=245) had Class I or IIa indications for ICD implantation.Conclusions:Current ICD guidelines fail to distinguish a truly low-risk group of patients with clinically manifest CS, the 5-year risk of SCD approaching 5% despite absent ICD indications. Further research is needed on prognostic factors, including the role of diagnostic histology. Meanwhile, all patients with CS presenting with clinical cardiac manifestations should be considered for an ICD implantation.</p

    Manifestations and Outcome of Cardiac Sarcoidosis and Idiopathic Giant Cell Myocarditis by 25-Year Nationwide Cohorts

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    Background Cardiac sarcoidosis (CS) and giant cell myocarditis (GCM) share many histopathologic and clinical features. Whether they are parts of a one-disease continuum has been discussed.Methods and Results We compared medical record data of 351 CS and 28 GCM cases diagnosed in Finland since the late 1980s and followed until February 2018 for a composite end point of cardiac death, aborted sudden death, and heart transplantation. Heart failure was the presenting manifestation in 50% versus 15% (PP=0.044), of GCM and CS, respectively. At presentation, left ventricular ejection fraction was P=0.004). The median (interquartile range) of plasma NT-proBNP (N-terminal pro-B-type natriuretic peptide) was 5273 (2782-11309) ng/L on admission in GCM versus 859 (290-1950) ng/L in CS (PPPConclusions GCM differs from CS in presenting with more extensive myocardial injury and having worse long-term outcome. Yet the key determinant of prognosis appears to be the extent of myocardial injury rather than the histopathologic diagnosis.</p

    Serverless IoT Platform

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    TÀmÀn projektin tavoitteena oli suunnitella ohjelmisto arkkitehtuuri IoT datan kerÀys jÀrjestelmÀlle. JÀrjestelmÀn vaatimuksina oli olla pilvi pohjainen, tietoturvallinen, helposti mÀÀritettÀvÀ ja tukea dynaamista dataa. JÀrjestelmÀ koostuu kolmesta osasta, lÀhettÀvÀ laite, palvelin ja kÀyttöliittymÀ. Laite osalle mÀÀritettiin viestin formaatti ja kÀytettÀvÀt protokollat. Palvelimelle valittiin sopivat komponentit valitun pilvipalvelu tarjoajan Microsoft Azuren valikoimasta. Azure Functions valittiin kÀytettÀvÀksi laskenta palveluksi ja yhdistÀmÀÀn kaikki palvelimen osat toisiinsa. MongoDB valittiin tietokannaksi. Se tukee helpommin dynaamista dataa verrattuna perinteisiin SQL tietokantoihin. KÀyttöliittymÀksi valittiin yhden sivun SPA web applikaatio, SPA arkkitehtuuri sopii hyvin yhteen palvelin arkkitehtuurin kanssa. Lopullinen arkkitehtuuri tavoittaa kaikki asetetut vaatimukset. Tietoturvallisuus kÀyttÀmÀllÀ turvallisia Azure komponentteja. Helposti mÀÀritettÀvÀ ja tuki dynaamiselle datalle saavutettiin hyödyntÀmÀllÀ MongoDB:n ominaisuuksia ja automaattisesti mÀÀrittÀmÀllÀ jÀrjestelmÀ syötetyn datan mukaan. TÀmÀ on yksi tapa kerÀtÀ IoT dataa, tÀhÀn on useita valmiita ratkaisuja. Kehitetty jÀrjestelmÀ on suunniteltu olemaan yksinkertainen kÀyttÀÀ minimaalisilla mÀÀrityksillÀ.The purpose of this project was to design software architecture for an IoT platform for data logging. The platform was required to be cloud based, secure, easily configured and support dynamic data. The platform is made of three parts, sending device, server and user interface. For the device part, a specification for the message format and protocols to be used was decided. For the server part, suitable components and services was chosen from the selected cloud service provider Microsoft Azure. Azure Functions was used as the compute resource and as way to logically connect the different server components together. MongoDB was chosen as the database; this supports dynamic data easily compared to traditional SQL databases. For the user interface a SPA, the single-page application, web app was chosen, as SPA architecture meshes well with the platform server architecture. The resulting architecture meets all of the requirements. Security requirements are met with use of secure Azure components. Requirements for ease of configure and dynamic data is achieved by leveraging the abilities of MongoDB to store dynamic data and automatically configure by the inputted data. The designed platform shows one way to collect IoT data and there are many existing systems for this. The platform is designed to be simple to use with minimal configure

    Manifestations and Outcome of Cardiac Sarcoidosis and Idiopathic Giant Cell Myocarditis by 25-Year Nationwide Cohorts

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    Background Cardiac sarcoidosis (CS) and giant cell myocarditis (GCM) share many histopathologic and clinical features. Whether they are parts of a one-disease continuum has been discussed. Methods and Results We compared medical record data of 351 CS and 28 GCM cases diagnosed in Finland since the late 1980s and followed until February 2018 for a composite end point of cardiac death, aborted sudden death, and heart transplantation. Heart failure was the presenting manifestation in 50% versus 15% (P Conclusions GCM differs from CS in presenting with more extensive myocardial injury and having worse long-term outcome. Yet the key determinant of prognosis appears to be the extent of myocardial injury rather than the histopathologic diagnosis.Peer reviewe
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