Sensitive Detection of Atrial Fibrillation in Acute Stroke Patients by Short-Term Bedside Electrocardiography Monitoring Software Analysis

2018 ◽  
Vol 45 (1-2) ◽  
pp. 54-60
Author(s):  
Linda Sarah Ross ◽  
Markus Bettin ◽  
Simon Kochhäuser ◽  
Martin Ritter ◽  
Jens Minnerup ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Acute Stroke ◽  
Predictive Value ◽  
Cryptogenic Stroke ◽  
Ecg Monitoring ◽  
Stroke Patients ◽  
Software Analysis ◽  
Diagnostic Work ◽  
Work Up ◽  
Diagnostic Work Up

Background: Atrial fibrillation (AF) is an important cause of stroke. Continuous electrocardiography (ECG) monitoring with software-based analysis algorithms has been suggested to enhance the AF detection rate. We investigated the ability of stroke risk analysis (SRA) in the detection of AF in acute stroke patients. Methods: Consecutive stroke patients numbering 1,153 were screened. Patients with cardioembolic stroke related to AF (n = 296, paroxysmal n = 63, persistent n = 233) and patients with cryptogenic stroke (n = 309) after standard diagnostic work-up (bedside ECG monitoring, ultrasound, transesophageal echocardiography, 24 h Holter ECG) received SRA during their stay at the Stroke Unit. Determination of AF risk by SRA in the patients with AF and in the patient group with cryptogenic stroke was assessed and compared. Results: Median SRA monitoring analysis time was 16 h (range 2–206 h, interquartile range 10–36). In AF patients, SRA also detected a possible or definitive AF in 98%. The overall sensitivity of SRA to detect possible or definitive AF in patients with proven AF by standard diagnostic work up and cryptogenic stroke was 98%, specificity 27%, positive predictive value 56%, and the negative predictive value (NPV) was 92%. Area under ROC curve was 0.622. Conclusion: SRA was found to be highly sensitive to detect possible or definitive AF in clinical routine within a short monitoring time. However, low specificity and poor accuracy do not allow diagnosing AF by SRA alone, but with the high NPV compared to current diagnostic standard, it is a valid diagnostic tool to rule out AF. Thereby, SRA is a contribution to clarify stroke etiology.

scholarly journals The cardiac diagnostic work-up in stroke patients—A subanalysis of the Find-AFRANDOMISED trial

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0216530 ◽  
Author(s):  
Katrin Wasser ◽  
Mark Weber-Krüger ◽  
Falko Jürries ◽  
Jan Liman ◽  
Gerhard F. Hamann ◽  
...  
Keyword(s):  
Stroke Patients ◽  
Diagnostic Work ◽  
Work Up ◽  
Diagnostic Work Up

Radiographic signs in cats with nasal disease

2003 ◽  
Vol 5 (4) ◽  
pp. 227-235 ◽  
Author(s):  
C.R. Lamb ◽  
S. Richbell ◽  
P. Mantis
Keyword(s):  
Soft Tissue ◽  
Nasal Cavity ◽  
Predictive Value ◽  
Radiographic Finding ◽  
Bone Invasion ◽  
Normal Limits ◽  
Nasal Disease ◽  
Diagnostic Work ◽  
Work Up ◽  
Diagnostic Work Up

Radiographic signs in 64 cats that had radiography as part of the diagnostic work-up for suspected nasal disease were reviewed in a blinded fashion. Final diagnoses in these cats were rhinitis in 27, primary nasal neoplasia in 21 and non-nasal disease in 16. The signs with highest predictive value for nasal neoplasia were displacement of midline structures (73%), unilateral generalised soft tissue opacity (70%), unilateral generalised loss of turbinate detail (69%) and evidence of bone invasion (64%). The only radiographic finding that occurred more frequently in cats with rhinitis was a nasal cavity within normal limits, and the predictive value of this sign was only 38%. Radiographic signs in cats with nasal neoplasia are similar to those reported in dogs, whereas the radiographic signs in cats with rhinitis are variable and non-specific, and may be absent.

scholarly journals Diagnostic value of lymphopaenia and elevated serum ACE in patients with uveitis

2020 ◽  
pp. bjophthalmol-2020-316563
Author(s):  
Philippine Cotte ◽  
Pierre Pradat ◽  
Laurent Kodjikian ◽  
Yvan Jamilloux ◽  
Pascal Seve
Keyword(s):  
Retrospective Study ◽  
Predictive Value ◽  
Elevated Serum ◽  
Diagnostic Value ◽  
Granulomatous Uveitis ◽  
Registration Number ◽  
The Mean ◽  
Diagnostic Work ◽  
Work Up ◽  
Diagnostic Work Up

AimTo evaluate the diagnostic worth of elevated serum ACE (sACE) and lymphopaenia, singly or combined, in diagnosing sarcoid uveitis.MethodsMonocentric retrospective study, on a cohort of 996 adult patients referred to our department between March 2001 and December 2018 for a diagnostic work-up of uveitis. The sensitivity (SE), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) of the two biomarkers were calculated in different contexts.ResultsEight hundred and sixty-eight patient cases were reviewed. The mean age at uveitis onset was 49.4 (±18.6) years. Of them, 144 patients had a diagnosis of sarcoid uveitis. An elevated sACE had SE of 45.8%, Sp of 88.8%, PPV of 44.9% and NPV of 89.2% in diagnosing sarcoid uveitis. For lymphopaenia, SE was 15.3%, Sp was 96.7%, PPV was 47.8% and NPV was 85.2%. For the combination of elevated sACE and lymphopaenia, SE was 18.9%, Sp was 99.0%, PPV was 73.9% and NPV was 89.5%. The value of this combination varied according to patient age at diagnosis plus anatomoclinical entities: for patients aged ≤50 years, SE was 31.3%, Sp was 99.7%, PPV was 90.9% and NPV was 94.3%. For granulomatous uveitis, SE was 26.2%, Sp was 97.3%, PPV was 73.3% and NPV was 82.5%.ConclusionA combination of elevated serum ACE and lymphopaenia more convincingly suggests sarcoid uveitis than these investigational tests used alone, especially in patients with granulomatous uveitis, while a lack of these markers corresponds to a high NPV.Trial registration numberNCT03863782.

scholarly journals 606 Predictive value of left atrial and left ventricular strain for the detection of atrial fibrillation in patients with cryptogenic stroke

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Gabriella Bufano ◽  
Francesco Radico ◽  
Carolina Maria D’Angelo ◽  
Francesca Pierfelice ◽  
Maria Vittoria De Angelis ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Predictive Value ◽  
Left Atrial ◽  
Longitudinal Strain ◽  
Cryptogenic Stroke ◽  
Left Ventricular ◽  
Volume Index ◽  
Lv Function ◽  
Ecg Monitoring ◽  
Echocardiographic Parameters

Abstract Aims Cryptogenic stroke (CS) is associated with high rate of recurrences and adverse outcomes at long-term follow-up, especially in light of its unknown etiology that often leads to ineffective secondary prevention. In such scenario, asymptomatic misdiagnosed atrial fibrillation (AF) episodes could play an important pathophysiological role. Some studies have pointed left atrial (LA) and left ventricular (LV) systolic and diastolic dysfunction as surrogate markers of AF. The aim of this study was to evaluate the relationship between echocardiographic parameters of LA and LV function, and the occurrence of AF revealed by continuous electrocardiogram (ECG) monitoring in a cohort of CS patients. Methods and results This is a single-centre prospective cohort study. Seventy-two CS patients with continuous ECG monitoring with insertable cardiac monitor (ICM) underwent transthoracic echocardiography (TTE). TTE was focused on LA and LV function, including both standard and longitudinal strain-derived parameters. All detected AF episodes lasting more than 2 min were considered. Patients with and without AF were homogeneous in all baseline characteristics, except for CHA2DS2-VASc score, which was significantly higher in AF group, and prevalence of hypercholesterolaemia, that was significantly higher in no-AF group. ICM revealed AF in 23 patients (32%), on average 196 days after ICM implantation. Among echocardiographic parameters, LV ejection fraction (LVEF, P = 0.007), LA end systolic area (LAES area, P = 0.006), LA volume index (LAVI, P = 0.008), total LA emptying fraction (LATEF, P = 0.013), E velocity (P = 0.042), pulmonary veins AR duration (P = 0.01), septal and median TDI E/e′ (respectively, P = 0.045 and P = 0.039), peak atrial longitudinal strain (PALS) in 4-chamber and in 2-chamber view (respectively, P < 0.001 and P = 0.011), peak atrial contraction strain (PACS, P < 0.001), LA conduit strain (P = 0.005), and LV longitudinal strain (LVLS, P = 0.001) were significantly associated to the occurrence of AF, suggesting worst atrial function in AF group. Furthermore, multivariable regression analysis revealed that PACS and LV strain were the only echocardiographic parameters independently associated with AF [confidence interval (CI) 95%: 0.48–0.90, P = 0.005 and CI 95%: 0.46–0.95, P = 0.041 respectively]. Conclusions In a cohort of CS patients, continuous ECG monitoring with ICM revealed subclinical AF episodes in about one-third of patients. In such population, LA and LV strain analysis add predictive value for occurrence of AF over clinical and morpho-functional echocardiographic parameters. Impaired booster pump strain and LVLS strain are strong and independent predictors of AF.

scholarly journals Supraventricular Runs in 7-Day Holter Monitoring Are Related to Increased Incidence of Atrial Fibrillation in a 3-Year Follow-Up of Cryptogenic Stroke Patients Free from Arrhythmia in a 24 h-Holter

2021 ◽  
Vol 8 (7) ◽  
pp. 81
Author(s):  
Andrzej Kułach ◽  
Milena Dewerenda ◽  
Michał Majewski ◽  
Anetta Lasek-Bal ◽  
Zbigniew Gąsior
Keyword(s):  
Atrial Fibrillation ◽  
Cryptogenic Stroke ◽  
Holter Monitoring ◽  
Ecg Monitoring ◽  
Stroke Patients ◽  
Long Term Monitoring ◽  
In Cis ◽  
Term Monitoring

Introduction: Silent atrial fibrillation (AF) is a common cause of cryptogenic ischemic stroke (CIS). The 24-h-Holter is insufficient to reveal an occult arrhythmic cause of stroke and the strategy to select the patients for long-term monitoring is missing. Objectives: The aim of the study was to evaluate 7-day-Holter monitoring to identify cases with the arrhythmic cause of stroke in CIS patients in whom 24-h-Holter was free from arrhythmia, and to assess the relation between supraventricular (SV) runs in baseline Holter and the incidence of AF in a 3-year follow-up period. Methods: 78 patients (aged 60 ± 9 years, 45 males) with CIS and no arrhythmic findings in 24-h-Holter were enrolled. All patients had 7-day-Holter monitoring after stroke and were followed up for 36 months, and then 7-day Holter was repeated. We assessed SV runs (≥5 QRS) in the initial 7-day Holter and analyzed the relation of the findings with clinical characteristics of novel AF episodes revealed early after stroke and during a 3-year follow-up. Results: Baseline 7-day-Holter revealed SV runs in 36% of patients and AF in 9% of cases. During a 3-year follow-up, 8 additional cases were confirmed, both in standard care and in repeated Holter (a total of 19% of AF cases). There was no difference with regard to CHADS2VASc score (3.6 ± 1.1 vs. 3.4 ± 1.5; p = NS) and left atrium parameters between patients with SV runs and the non-arrhythmic group. Patients with SV runs had a higher incidence of AF both after stroke and in a 3-year follow-up (46% vs. 4%, RR 11.6, p < 0.001). In 8 cases, patent foramen ovale was detected during follow-up. Conclusions: A strategy of baseline 7-day-Holter monitoring after stroke allows for disclosing SV runs in every third case and AF in 9% of stroke survivors. Patients with SV runs have a higher incidence of AF (RR 11.6, p < 0.001) and should be considered for extended continuous ECG monitoring.

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