The Impact of Atrial Fibrillation on Short-Term Mortality and Resource Utilization in Sepsis

2019 ◽  
Vol 47 (12) ◽  
pp. e1032 ◽  
Author(s):  
Lavi Oud
2021 ◽  
Author(s):  
Lei Yang ◽  
Ke Gao ◽  
Xin-Ye Yao ◽  
Yong-lan Tang ◽  
Wan-Ying Yang ◽  
...  

Abstract Background: Liver cirrhosis is a confirmed risk factor for worse clinical outcomes of stroke, however the contribution of liver fibrosis to cardioembolic stroke (CES) and its short-term outcomes are poorly understood. This study aimed to investigate whether liver fibrosis is associated with more severe stroke, worse short-term clinical outcomes of acute CES, due to nonvalvular atrial fibrillation (NVAF), as well as the impact of sex on the association. Methods: Using data of 522 patients with NVAF admitted within 48 hours after acute symptom of CES onset. We calculated Fibrosis-4 score (FIB-4) and defined liver fibrosis as: likely advanced fibrosis (FIB-4>3.25), indeterminate (FIB-4, 1.45-3.25), unlikely advanced fibrosis (FIB-4<1.45). We invested the impact of liver fibrosis degree on stroke severity on admission, major disability at discharge and all cause death at 90 days stratified by sex. Results: Among 522 acute CES patients with NVAF, the mean FIB-4 on admission reflected intermediate fibrosis, whereas liver enzymes were largely normal. After adjusting for possible confounders, multivariate analyses revealed that likely advanced liver fibrosis was associated with severe stroke (OR=2.21, 95% CI: 1.04-3.54), major disability at discharge (OR=4.59, 95% CI: 1.88-11.18), and 90-days mortality (HR=1.25, 95% CI: 1.10-1.56). Further grouped by sex, these associations were stronger in males but not significant in females.Conclusions: In patients with largely normal liver enzyme, likely advanced liver fibrosis is associated with severe stroke, major disability and all cause death after acute CES due to NVAF; the association unfolded more obvious in males, but not for females.


2021 ◽  
Author(s):  
Silvia Rizzi ◽  
James W Vaupel

We introduce a new method for making short-term mortality forecasts of a few months, illustrating it by estimating how many deaths might have happened if some major shock had not occurred. We apply the method to assess excess mortality from March to June 2020 in Denmark and Sweden as a result of the first wave of the coronavirus pandemic, associated policy interventions and behavioral, healthcare, social and economic changes. We chose to compare Denmark and Sweden because reliable data were available and because the two countries are similar but chose different responses to covid-19: Denmark imposed a rather severe lockdown; Sweden did not. We make forecasts by age and sex to predict expected deaths if covid-19 had not struck. Subtracting these forecasts from observed deaths gives the excess death count. Excess deaths were lower in Denmark than Sweden during the first wave of the pandemic. The later/earlier ratio we propose for shortcasting is easy to understand, requires less data than more elaborate approaches, and may be useful in many countries in making both predictions about the future and the past to study the impact on mortality of coronavirus and other epidemics. In the application to Denmark and Sweden, prediction intervals are narrower and bias is less than when forecasts are based on averages of the last five years, as is often done. More generally, later/earlier ratios may prove useful in short-term forecasting of illnesses and births as well as economic and other activity that varies seasonally or periodically.


Author(s):  
Chodziwadziwa Whiteson Kabudula ◽  
Georges Reniers ◽  
Francesc Xavier Gómez-Olivé ◽  
Kathleen Kahn ◽  
Stephen Tollman

ABSTRACT ObjectivesTo assess the impact of late presentation (CD4 cell count <200 cells/μl at presentation) for care and treatment on short-term mortality (death within a year of presentation) among HIV-infected adults in rural South Africa. ApproachWe applied deterministic and probabilistic record linkage approaches to link adult patients seeking care and treatment for HIV from a health facility between 2007 and 2013 to population under continuous surveillance by the Agincourt Health and Demographic Surveillance System (HDSS) in rural northeast South Africa. The resulting record-linked dataset was thereafter analysed to estimate short-term mortality (death within a year of presentation) differences in late presenters (initial presentation at health facility with CD4 cell count less than 200 cells/μl) and early presenters (presentation with CD4 cell count of 200 or more cells/μl). In the linked dataset, CD4 cell count was extracted from the health facility database where as date of death came from the HDSS database. ResultsA total of 3,553 patients who sought care and treatment for HIV at Bhubhezi clinic between 2007 and 2013 were linked to the Agincourt HDSS surveillance population. Proportion of patients classified as late presenters was 60.9%. Short-term mortality was 8.9% (317/3,553): 11.1% among those who presented late and 5.5 % among those who presented early (P<0.001). ConclusionRecord linkage facilitated the assessment of the impact of late presentation for care and treatment on short-term mortality among HIV-infected adults in rural South Africa. In the population studied, late presentation is high and is contributing to high mortality among people living with HIV. Strategies that would facilitate early presentation are needed in order to reduce mortality among people living with HIV.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S479-S479
Author(s):  
Jamie Campbell ◽  
Christopher Polk ◽  
Danya Roshdy ◽  
Michael Leonard

Abstract Background Treatment of HIV is recommended as soon as possible and early initiation of combined antiretroviral therapy (cART) is associated with improved engagement in care; however, treatment with cART is often deferred in hospitalized patients despite being correlated with improved outcomes. We implemented an institutional intervention to ensure all people living with HIV (PLwH) were on cART during hospitalization to improve patient outcomes. Methods We prospectively identified all PLwH hospitalized at our institution and had ID physicians and pharmacists ensure they were on appropriate cART and linked to outpatient care. We retrospectively collected clinical and lab data to assess the impact of our intervention on inpatient mortality, 30-day mortality, 30-day readmission rate, and frequency of outpatient follow-up. Patients were excluded from analysis if they were admitted for hospice care. Results We identified 389 patient admissions in 275 unique patients, of which 304 admissions were already on cART at admission. After ID physician assessment, 37 of the 85 not on cART at admission were initiated on therapy. We assessed the impact of this intervention on short-term outcomes as listed in Table 1. Despite the intervention group having similar immunologic and virologic baseline characteristics to those not initiated on cART, their inpatient and 30-day mortality was similar to those already on cART. Readmission rates also decreased in the intervention group. Thirteen of 24 patients in the intervention group who could be tracked for long-term follow-up within our system achieved virologic suppression by 90 days after hospital discharge. Conclusion Inpatient treatment with cART during hospitalization improves short-term mortality outcomes. This study also demonstrates the value of inpatient cART treatment as most patients achieved virologic suppression at subsequent outpatient follow-up. Disclosures All authors: No reported disclosures.


2021 ◽  
pp. 088506662110529
Author(s):  
Daisuke Hasegawa ◽  
Ryota Sato ◽  
Narut Prasitlumkum ◽  
Kazuki Nishida

Objective The aim of this study was to conduct a systematic review and meta-analysis to investigate the impact of premorbid beta-blockers on mortality in patients with sepsis. Data Sources We searched EMBASE, the Cochrane Central Register of Controlled Trials, and MEDLINE for eligible studies. The protocol was registered at the PROSPERO (CRD42021256813). Study Selection Two authors independently evaluated the following inclusion criteria: (1) randomized controlled trials, cohort studies, cross-sectional studies; (2) patients with sepsis aged ≥18 years, and (3) premorbid beta-blocker use. Data Extraction Two authors extracted the patients’ characteristics and outcomes independently. All analyses were performed using the random-effects models. The primary outcome was short-term mortality, defined as mortality within 30 days, in-hospital or intensive care unit mortality. Data Synthesis Ten studies (n = 24 748 patients) were included. The pooled odds ratio (OR) of short-term mortality associated with the premorbid use of beta-blockers was 0.85 (95% confidence interval [CI], 0.69-1.04; P = .12; I2 = 50%). Five studies reported an adjusted OR of short-term mortality. The pooled adjusted OR of short-term mortality associated with the premorbid use of beta-blockers was 0.73 (95% CI, 0.65-0.83; P < .001; I2 = 0%). Conclusion Premorbid beta-blockers were associated with a lower short-term mortality in patients with sepsis.


2021 ◽  
Vol 118 (15) ◽  
pp. e2025324118
Author(s):  
Silvia Rizzi ◽  
James W. Vaupel

We introduce a method for making short-term mortality forecasts of a few months, illustrating it by estimating how many deaths might have happened if some major shock had not occurred. We apply the method to assess excess mortality from March to June 2020 in Denmark and Sweden as a result of the first wave of the coronavirus pandemic; associated policy interventions; and behavioral, healthcare, social, and economic changes. We chose to compare Denmark and Sweden because reliable data were available and because the two countries are similar but chose different responses to COVID-19: Denmark imposed a rather severe lockdown; Sweden did not. We make forecasts by age and sex to predict expected deaths if COVID-19 had not struck. Subtracting these forecasts from observed deaths gives the excess death count. Excess deaths were lower in Denmark than Sweden during the first wave of the pandemic. The later/earlier ratio we propose for shortcasting is easy to understand, requires less data than more elaborate approaches, and may be useful in many countries in making both predictions about the future and the past to study the impact on mortality of coronavirus and other epidemics. In the application to Denmark and Sweden, prediction intervals are narrower and bias is less than when forecasts are based on averages of the last 5 y, as is often done. More generally, later/earlier ratios may prove useful in short-term forecasting of illnesses and births as well as economic and other activity that varies seasonally or periodically.


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