Dataset Information

Long-term outcomes following development of new-onset atrial fibrillation during sepsis.

ABSTRACT:

Background

New-onset atrial fibrillation (AF) is associated with adverse outcomes during a sepsis hospitalization; however, long-term outcomes following hospitalization with sepsis-associated new-onset AF are unclear.

Methods

We used a Medicare 5% sample to identify patients who survived hospitalization with sepsis between 1999 and 2010. AF status was defined as no AF, prior AF, or new-onset AF based on AF claims during and prior to a sepsis hospitalization. We used competing risk models to determine 5-year risks of AF occurrence, heart failure, ischemic stroke, and mortality after the sepsis hospitalization, according to AF status during the sepsis admission.

Results

We identified 138,722 sepsis survivors, of whom 95,536 (69%) had no AF during sepsis, 33,646 (24%) had prior AF, and 9,540 (7%) had new-onset AF during sepsis. AF occurrence following sepsis hospitalization was more common among patients with new-onset AF during sepsis (54.9%) than in patients with no AF during sepsis (15.5%). Compared with patients with no AF during sepsis, those with new-onset AF during sepsis had greater 5-year risks of hospitalization for heart failure (11.2% vs 8.2%; multivariable-adjusted hazard ratio [HR], 1.25; 95% CI, 1.16-1.34), ischemic stroke (5.3% vs 4.7%; HR, 1.22; 95% CI, 1.10-1.36), and death (74.8% vs 72.1%; HR, 1.04; 95% CI,1.01-1.07).

Conclusions

Most sepsis survivors with new-onset AF during sepsis have AF occur after discharge from the sepsis hospitalization and have increased long-term risks of heart failure, ischemic stroke, and death. Our findings may have implications for posthospitalization surveillance of patients with new-onset AF during a sepsis hospitalization.

SUBMITTER: Walkey AJ

PROVIDER: S-EPMC4219336 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Publications

Long-term outcomes following development of new-onset atrial fibrillation during sepsis.

Walkey Allan J AJ Hammill Bradley G BG Curtis Lesley H LH Benjamin Emelia J EJ

Chest 20141101 5

<h4>Background</h4>New-onset atrial fibrillation (AF) is associated with adverse outcomes during a sepsis hospitalization; however, long-term outcomes following hospitalization with sepsis-associated new-onset AF are unclear.<h4>Methods</h4>We used a Medicare 5% sample to identify patients who survived hospitalization with sepsis between 1999 and 2010. AF status was defined as no AF, prior AF, or new-onset AF based on AF claims during and prior to a sepsis hospitalization. We used competing risk ...[more]

PMID: 24723004

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Project description:AimsNew-onset atrial fibrillation (NOAF) complicating acute myocardial infarction (AMI) has been associated with poor survival, but the clinical implication of NOAF on heart failure (HF) is still not well characterized. We aimed to investigate the relationship between NOAF complicating AMI and HF hospitalization.Methods and resultsAdult AMI patients identified in the New-Onset Atrial Fibrillation Complicating Acute Myocardial Infarction in Shanghai registry who, discharged alive, had complete echocardiography and follow-up data from February 2014 to March 2018 were included. Patients were divided according to the presence of NOAF. The outcome measures were HF hospitalization and death during the observational period (until 10 April 2019). Cox proportional hazard models were performed in the whole population and propensity score-matched (PSM) cohort to assess the adjusted hazard ratio (HR) and 95% confidence interval (CI). Overall, 2075 patients (mean age: 65.2 ± 12.3 years, 77.3% were men) with AMI were analysed, of whom 228 (11.0%) developed NOAF. Advanced age, admission HF (Killip II-IV), impaired renal function, decreased left ventricular ejection fraction, increased heart rate, and left atrial enlargement were independent predictors of NOAF. Over a median observational period of 2.7 years, the annual incidence rates of HF hospitalization were 18.4% and 2.8% for patients with NOAF and sinus rhythm, respectively. After adjustment for confounders, NOAF was significantly associated with HF hospitalization (HR: 3.14, 95% CI: 2.30-4.28, P < 0.001). Similar results were obtained when accounting for the competing risk of all-cause death (subdistribution HR: 3.06, 95% CI: 2.18-4.30, P < 0.001) or from the PSM cohort (HR: 2.82, 95% CI: 1.99-4.00, P < 0.001). Patients with persistent NOAF (HR: 5.81, 95% CI: 3.59-9.41) were at significantly higher risk of HF hospitalization when compared with those with transient one (HR: 2.61, 95% CI: 1.84-3.70, P interaction = 0.008). Although post-MI NOAF was significantly related to cardiovascular death (annual incidence rates for NOAF and sinus rhythm were 9.4% and 2.3%, respectively; HR: 1.97, 95% CI: 1.36-2.85, P < 0.001), such an association was attenuated when HF hospitalization (modelled as a time-varying covariate) and antithrombotic treatment were adjusted (HR: 1.37, 95% CI: 0.92-2.02, P = 0.121).ConclusionsIn patients with AMI, NOAF is strongly associated with an increased long-term risk of HF hospitalization. Our findings suggest that strengthened secondary prevention of HF should be considered in this high-risk population.

Project description:Objective New-onset atrial fibrillation (NOAF) is a common complication and one of the primary causes of increased mortality in critically ill adults. Since early assessment of the risk of developing NOAF is difficult, it is critical to establish predictive tools to identify the risk of NOAF. Methods We retrospectively enrolled 1,568 septic patients treated at Wuhan Union Hospital (Wuhan, China) as a training cohort. For external validation of the model, 924 patients with sepsis were recruited as a validation cohort at the First Affiliated Hospital of Xinjiang Medical University (Urumqi, China). Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analyses were used to screen predictors. The area under the ROC curve (AUC), calibration curve, and decision curve were used to assess the value of the predictive model in NOAF. Results A total of 2,492 patients with sepsis (1,592 (63.88%) male; mean [SD] age, 59.47 [16.42] years) were enrolled in this study. Age (OR: 1.022, 1.009–1.035), international normalized ratio (OR: 1.837, 1.270–2.656), fibrinogen (OR: 1.535, 1.232–1.914), C-reaction protein (OR: 1.011, 1.008–1.014), sequential organ failure assessment score (OR: 1.306, 1.247–1.368), congestive heart failure (OR: 1.714, 1.126–2.608), and dopamine use (OR: 1.876, 1.227–2.874) were used as risk variables to develop the nomogram model. The AUCs of the nomogram model were 0.861 (95% CI, 0.830–0.892) and 0.845 (95% CI, 0.804–0.886) in the internal and external validation, respectively. The clinical prediction model showed excellent calibration and higher net clinical benefit. Moreover, the predictive performance of the model correlated with the severity of sepsis, with higher predictive performance for patients in septic shock than for other patients. Conclusion The nomogram model can be used as a reliable and simple predictive tool for the early identification of NOAF in patients with sepsis, which will provide practical information for individualized treatment decisions.

Project description:BackgroundAtrial fibrillation (AF) is prevalent in patients with type 2 diabetes mellitus (T2DM). Glycemic variability (GV) is associated with risk of micro- and macrovascular diseases. However, whether the GV can increase the risk of AF remains unknown.MethodsThe cohort study used a database from National Taiwan University Hospital, a tertiary medical center in Taiwan. Between 2014 and 2019, a total of 27,246 adult patients with T2DM were enrolled for analysis. Each individual was assessed to determine the coefficients of variability of fasting glucose (FGCV) and HbA1c variability score (HVS). The GV parameters were categorized into quartiles. Multivariate Cox regression models were employed to estimate the relationship between the GV parameters and the risk of AF, transient ischemic accident (TIA)/ischemic stroke and mortality in patients with T2DM.ResultsThe incidence rates of AF and TIA/ischemic stroke were 21.31 and 13.71 per 1000 person-year respectively. The medium follow-up period was 70.7 months. In Cox regression model with full adjustment, the highest quartile of FGCV was not associated with increased risk of AF [Hazard ratio (HR): 1.12, 95% confidence interval (CI) 0.96-1.29, p = 0.148] or TIA/ischemic stroke (HR: 1.04, 95% CI 0.83-1.31, p = 0.736), but was associated with increased risk of total mortality (HR: 1.33, 95% CI 1.12-1.58, p < 0.001) and non-cardiac mortality (HR: 1.41, 95% CI 1.15-1.71, p < 0.001). The highest HVS was significantly associated with increased risk of AF (HR: 1.29, 95% CI 1.12-1.50, p < 0.001), total mortality (HR: 2.43, 95% CI 2.03-2.90, p < 0.001), cardiac mortality (HR: 1.50, 95% CI 1.06-2.14, p = 0.024) and non-cardiac mortality (HR: 2.80, 95% CI 2.28-3.44, p < 0.001) but was not associated with TIA/ischemic stroke (HR: 0.98, 95% CI 0.78-1.23, p = 0.846). The Kaplan-Meier analysis showed significantly higher risk of AF, cardiac and non-cardiac mortality according to the magnitude of GV (log-rank test, p < 0.001).ConclusionsOur data demonstrate that high GV is independently associated with the development of new-onset AF in patients with T2DM. The benefit of maintaining stable glycemic levels to improve clinical outcomes warrants further studies.

Dataset Information

Long-term outcomes following development of new-onset atrial fibrillation during sepsis.

Background

Methods

Results

Conclusions

Publications

Long-term outcomes following development of new-onset atrial fibrillation during sepsis.

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