scholarly journals Early‐onset and late‐onset heart failure after liver transplantation

2013 ◽  
Vol 20 (1) ◽  
pp. 122-122 ◽  
Author(s):  
Odilson M. Silvestre ◽  
Alberto Q. Farias ◽  
Fernando Bacal
Keyword(s):  
Heart Failure ◽  
Liver Transplantation ◽  
Early Onset ◽  
Late Onset

Early-onset versus late-onset nonanastomotic biliary strictures post liver transplantation: risk factors reflect different pathogenesis

2012 ◽  
Vol 25 (7) ◽  
pp. 765-775 ◽  
Author(s):  
Jessica A. Howell ◽  
Paul J. Gow ◽  
Peter W. Angus ◽  
Robert M. Jones ◽  
Bao-Zhong Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Liver Transplantation ◽  
Early Onset ◽  
Late Onset ◽  
Biliary Strictures

Abstract MP85: Prognostic Impact of Heart Failure with Preserved and Reduced Ejection Fraction after Myocardial Infarction in the Community

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Yariv Gerber ◽  
Susan A Weston ◽  
Cecilia Berardi ◽  
Alanna M Chamberlain ◽  
Sheila M McNallan ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Heart Failure ◽  
Ejection Fraction ◽  
Early Onset ◽  
Late Onset ◽  
Secular Trends ◽  
Prognostic Impact ◽  
Reduced Ejection Fraction ◽  
Risk Of Death

Background: Contemporary community data on the prognostic importance of heart failure (HF) after myocardial infarction (MI) according to (1) preserved or reduced ejection fraction (EF) and (2) the time of its occurrence are lacking. We examined HF-associated mortality and secular trends in survival among patients with and without HF in a geographically defined cohort of MI survivors. Methods: All residents of Olmsted County, Minnesota (n=2,596) who had a first MI diagnosed in 1990-2010 and no prior HF were followed through 2012 for HF incidence and mortality. Framingham Heart Study criteria were used to define HF, which was further classified according to EF. Cox models were used to examine (1) the hazard ratios (HRs) for death associated with HF type (preserved or reduced) and timing (early- or late-onset); and (2) secular trends in survival by HF status. Results: During a mean (SD) follow-up of 4 (3) years, 748 patients developed HF (519 within 30 days) and 673 died. After adjusting for age, sex, and year of index MI, HF as a time-dependent variable was strongly associated with mortality (HR=3.33 vs. HF-free subjects). Mortality did not differ by HF type, but was markedly higher for late-onset (>30 days) than for early-onset HF. Further adjustment for indicators of MI severity and comorbidity burden, acute intervention, and recurrent MI attenuated the association (Table). The age- and sex-adjusted HRs for mortality in 2001-2010 vs. 1990-2000 were 0.71 (95% CI: 0.58-0.88) in HF and 0.74 (95% CI: 0.59-0.93) in HF-free patients. These estimates equate to 10.18 (95% CI: 3.82-16.54) and 3.75 (95% CI: 0.90-6.61) fewer deaths per 100 subjects at 5 years of follow-up in participants with and without HF, respectively. Conclusions: HF markedly increases the risk of death after MI. The magnitude of this excess risk is similar between preserved and reduced EF but greater for late- vs. early-onset HF. Mortality declined over time in all patients with MI, and the absolute reduction in the risk of death was substantially greater for those with HF.

scholarly journals Spectrum of early-onset and late-onset bacteremias after liver transplantation: Implications for management

2011 ◽  
Vol 17 (6) ◽  
pp. 733-741 ◽  
Author(s):  
Sang-Oh Lee ◽  
Seung H. Kang ◽  
Rima C. Abdel-Massih ◽  
Robert A. Brown ◽  
Raymund R. Razonable
Keyword(s):  
Liver Transplantation ◽  
Early Onset ◽  
Late Onset

Early-Onset and Late-Onset Bacteremias After Liver Transplantation

2018 ◽  
Vol 102 ◽  
pp. S658
Author(s):  
Sang Il Kim ◽  
Youn Jeong Kim ◽  
Jong Young Choi ◽  
Seung Kyu Yoon ◽  
Ji Il Kim ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Early Onset ◽  
Late Onset

scholarly journals Atrial Fibrillation in Acute Coronary Syndrome - early onset impact on MACE

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Atrioventricular Block ◽  
Early Onset ◽  
De Novo ◽  
Late Onset ◽  
Artery Bypass ◽  
Major Adverse Cardiovascular Events ◽  
Coronary Syndrome

Abstract Funding Acknowledgements Type of funding sources: None. OnBehalf on behalf of the Investigators of " Portuguese Registry of ACS " Introduction Atrial Fibrillation (AF) complicates approximately 10% of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on ACS patients’ (pts) prognosis. Objective To evaluate early onset (≤48h) de novo atrial fibrillation (AF) as predictor of major adverse cardiovascular events (MACE) and in-hospital complications. Methods Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 8/01/2019. Pts were divided in two groups: A – early onset de novo AF (EOAF), and B – late onset de novo AF (LOAF). Patients without data on previous cardiovascular history or uncompleted clinical data were excluded. Univariate logistic regression was performed to assess if LOAF in ACS was a predictor of MACE or complications. Results 29851 pts had ACS. EOAF occurred in 584 pts (2.0%) and LOAF in 360 pts (1.2%). EOAF were younger (73 ± 13 vs 77 ± 10, p < 0.001) and smokers (21.3% vs 12.1%, p < 0.001). LOAF had higher rates of diabetes mellitus (40.1% vs 30.2%, p < 0.001), angina (30.8% vs 21.4%, p < 0.001), previous ACS (22.5% vs 15.4%, p = 0.006), previous revascularization (percutaneous coronary intervention 14% vs 9.5%, p = 0.032; coronary artery bypass surgery 8.4% vs 3.9%, p = 0.004). ST-segment elevation myocardial infarction (MI) rates were higher in EOAF (56.8% vs 46.9%, p = 0.003) and were admitted directly to the cath lab more often (21.7% vs 13.4%, p = 0.001). Non-ST elevation MI rates were higher in LOAF (44.2% vs 37.7%, p = 0.048). LOAF times from first symptoms to admission were longer (420min vs 183%, p < 0.001), mean brain natriuretic peptide levels were higher (579 vs 447, p = 0.009) and diuretics usage was more frequent (72.8% vs 54.3%, p < 0.001). EOAF had higher rates of heart failure (32.1% vs 17.2%, p < 0.001), atrioventricular block (10.5% vs 7.8%, p = 0.006) and sustained ventricular tachycardia (8.1% vs 3.1%, p = 0.001). LOAF had higher in-hospital mortality (14.2% vs 9.6%, p = 0.031) and longer hospital stay (12 days vs 7 days, p < 0.001). Logistic regression confirmed that EOAF was predictive of in-hospital heart failure (p < 0.001, OR 2.15) and atrioventricular block (p = 0.008, OR 7.46). Regarding 1 year-follow-up, EOAF had poorer prognosis comparing to LOAF (59.3% vs 73.0%, p = 0.018, OR 1.62, CI 1.09-2.42) Conclusion EOAF is predictive of MACE, namely heart failure and atrioventricular block, and is associated to poorer prognosis comparing to LOAF.

scholarly journals In-hospital outcomes of sustained ventricular tachycardia in the setting of Acute Coronary Syndrome

EP Europace ◽  
2021 ◽  
Vol 23 (Supplement_3) ◽  
Author(s):  
M Santos ◽  
H Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Ventricular Tachycardia ◽  
Early Onset ◽  
Late Onset ◽  
Sustained Ventricular Tachycardia ◽  
Hospital Death ◽  
Coronary Syndrome ◽  
St Elevation

Abstract Funding Acknowledgements Type of funding sources: None. OnBehalf on behalf of the Investigators of " Portuguese Registry of ACS " Introduction Sustained ventricular tachycardia (SVT) complicates up to 20% of acute coronary syndromes (ACS) and it is, therefore, important to access its impact on prognosis and identify patients with higher risk of SVT. Objective To evaluate predictors of early onset (<48h) and late onset (≥48h) SVT. Methods Based on a multicenter retrospective study, data collected from admissions between 1/10/2010 and 4/09/2019. Patients (pts) were divided in two groups (G): A – pts that presented early onset SVT (ESVT), and B – pts that presented late onset SVT (LSVT). Pts without data on previous cardiovascular history or uncompleted clinical data were excluded. Logistic regression was performed to assess predictors of SVT in ACS. Results Between 29851 pts with ACS, 364 (1.2%) presented SVT. ESVT – 251 pts (69%); LSVT – 91 pts (25%). LSVT G was older (74 ± 13 vs 68 ± 14, p = 0.003), was admitted directly to cat lab less frequently (10.1% vs 24.8%, p = 0.003), had longer times from first symptoms to admission (440min vs 261 min, p < 0.001) and had higher rates of previous stroke (14.4% vs 6.8%, p = 0.028). LSVT G had higher rates of non-ST-elevation myocardial infarction (MI) (35.2% vs 23.1%, p = 0.025) and lower rates of ST-elevation MI (53.8% vs 71.7%, p = 0.002), although both G were similar regarding MI location (anterior – p = 0.135, inferior – p = 0.097). LSVT G had higher systolic blood pression (130 ± 33 vs 122 ± 33, p = 0.050), presented more frequently in Killip-Kimball class ≥2 (52.5% vs 35.5%, p = 0.005) and with atrial fibrillation (21.2% vs 12.4%, p = 0.045), and had higher brain-natriuretic peptide (1075 vs 329, p < 0.001). LSVT G was treated more frequently with diuretics (80.0% vs 47.8%, p < 0.001), amiodarone (62.2% vs 48.8%, p = 0.029), digoxin (8.9% vs 2.4%, p = 0.013) and levosimendan (11.1% vs 2.8%, p = 0.004). ESVT G had higher rates of performed coronarography (88.4% vs 79.1%, p = 0.028) but lower rate of 3 vessels disease (58.5% vs 70.8%, p = 0.017). LSVT G had higher rates of severe (<30%) left ventricle dysfunction (32.9% vs 15.4%, p < 0.001) and need to non-invasive ventilation (23.1% vs 6.8%, p < 0.001). Regarding in-hospital complications, ESVT G had higher rates of heart failure (34.7% vs 19.1%, p = 0.006), atrioventricular block (15.7% vs 1.1%, p < 0.001), atrial fibrillation (20.4% vs 7.7%, p = 0.006) and major haemorrhage (5.2% vs 0.0%, p = 0.024). LSVT G had higher rates of in-hospital death (44.4% vs 20.9%, p < 0.001) and in-hospital stay (14 days vs 7 days, p < 0.001). The G were similar regarding re-infarction (p = 0.216), shock (p = 0.179), mechanical complications (p = 1.00), cardiac arrest (p = 0.097) and stroke (0.348) rates. Logistic regression confirmed ESVT was predictive in-hospital heart failure (p = 0.010, OR 2.67) and de novo AF (p = 0.001, OR 5.56), whether LSVT was predictive of in-hospital death (p = 0.002, OR 2.70). Conclusion LSVT was associated with higher rates of in-hospital complications, but ESVT was associated with higher in-hospital mortality.

A novel approach to investigate SIRS derived heart failure using a murine liver transplantation model

2007 ◽  
Vol 55 (S 1) ◽  
Author(s):  
LO Conzelmann ◽  
N Kayhan ◽  
NA Stumpf ◽  
U Gaffga ◽  
AA Peivandi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Liver Transplantation ◽  
Novel Approach ◽  
Murine Liver ◽  
Transplantation Model

NEONATAL SEPSIS AND IDENTIFICATION OF RISK FACTORS: STUDY IN AVBRH HOSPITAL SAWANGI

2019 ◽  
Vol 3 (6) ◽  
Author(s):  
Pramod P. Singhavi
Keyword(s):  
Risk Factors ◽  
Neonatal Sepsis ◽  
Early Onset ◽  
Late Onset ◽  
Signs And Symptoms ◽  
Premature Rupture ◽  
Maternal Risk ◽  
Late Onset Sepsis ◽  
Early Onset Sepsis ◽  
Meconium Stained Amniotic Fluid

Introduction: India has the highest incidence of clinical sepsis i.e.17,000/ 1,00,000 live births. In Neonatal sepsis septicaemia, pneumonia, meningitis, osteomyelitis, arthritis and urinary tract infections can be included. Mortality in the neonatal period each year account for 41% (3.6 million) of all deaths in children under 5 years and most of these deaths occur in low income countries and about one million of these deaths are due to infectious causes including neonatal sepsis, meningitis, and pneumonia. In early onset neonatal sepsis (EOS) Clinical features are non-specific and are inefficient for identifying neonates with early-onset sepsis. Culture results take up to 48 hours and may give false-positive or low-yield results because of the antenatal antibiotic exposure. Reviews of risk factors has been used globally to guide the development of management guidelines for neonatal sepsis, and it is similarly recommended that such evidence be used to inform guideline development for management of neonatal sepsis. Material and Methods: This study was carried out using institution based cross section study . The total number neonates admitted in the hospital in given study period was 644, of which 234 were diagnosed for neonatal sepsis by the treating pediatrician based on the signs and symptoms during admission. The data was collected: Sociodemographic characteristics; maternal information; and neonatal information for neonatal sepsis like neonatal age on admission, sex, gestational age, birth weight, crying immediately at birth, and resuscitation at birth. Results: Out of 644 neonates admitted 234 (36.34%) were diagnosed for neonatal sepsis by the paediatrician based on the signs and symptoms during admission. Of the 234 neonates, 189 (80.77%) infants were in the age range of 0 to 7 days (Early onset sepsis) while 45 (19.23%) were aged between 8 and 28 days (Late onset sepsis). Male to female ratio in our study was 53.8% and 46% respectively. Out of total 126 male neonates 91(72.2%) were having early onset sepsis while 35 (27.8%) were late onset type. Out of total 108 female neonates 89(82.4%) were having early onset sepsis while 19 (17.6%) were late onset type. Maternal risk factors were identified in 103(57.2%) of early onset sepsis cases while in late onset sepsis cases were 11(20.4%). Foul smelling liquor in early onset sepsis and in late onset sepsis was 10(5.56%) and 2 (3.70%) respectively. In early onset sepsis cases maternal UTI, Meconium stained amniotic fluid, Multipara and Premature rupture of membrane was seen in 21(11.67%), 19 (10.56%), 20(11.11%) and 33 (18.33%) cases respectively. In late onset sepsis cases maternal UTI, Meconium stained amniotic fluid, Multipara and Premature rupture of membrane was seen in 2 (3.70%), 1(1.85%), 3 (5.56%) and 3 (5.56%) cases respectively. Conclusion: Maternal risk identification may help in the early identification and empirical antibiotic treatment in neonatal sepsis and thus mortality and morbidity can be reduced.

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