Risk Factors for Intracerebral Hemorrhage in Patients With Atrial Fibrillation on Non-Vitamin K Antagonist Oral Anticoagulants for Stroke Prevention.

[Figure: see text].

Carpal Tunnel Syndrome Automated Diagnosis: A Motor vs. Sensory Nerve Conduction-Based Approach.

The objective of this study was to evaluate the effectiveness of machine learning classification techniques applied to nerve conduction studies (NCS) of motor and sensory signals for the automatic diagnosis of carpal tunnel syndrome (CTS). Two methodologies were tested. In the first methodology, motor signals recorded from the patients' median nerve were transformed into time-frequency spectrograms using the short-time Fourier transform (STFT). These spectrograms were then used as input to a deep two-dimensional convolutional neural network (CONV2D) for classification into two categories: patients and controls. In the second methodology, sensory signals from the patients' median and ulnar nerves were subjected to multilevel wavelet decomposition (MWD), and statistical and non-statistical features were extracted from the decomposed signals. These features were utilized to train and test classifiers. The classification target was set to three categories: normal subjects (controls), patients with mild CTS, and patients with moderate to severe CTS based on conventional electrodiagnosis results. The results of the classification analysis demonstrated that both methodologies surpassed previous attempts at automatic CTS diagnosis. The classification models utilizing the motor signals transformed into time-frequency spectrograms exhibited excellent performance, with average accuracy of 94%. Similarly, the classifiers based on the sensory signals and the extracted features from multilevel wavelet decomposition showed significant accuracy in distinguishing between controls, patients with mild CTS, and patients with moderate to severe CTS, with accuracy of 97.1%. The findings highlight the efficacy of incorporating machine learning algorithms into the diagnostic processes of NCS, providing a valuable tool for clinicians in the diagnosis and management of neuropathies such as CTS.

Quality metrics in the management of acute stroke in Greece during the first 5 years of Registry of Stroke Care Quality (RES-Q) implementation.

Introduction: Establishment of a prospective stroke registry may promote the documentation and improvement of acute stroke care. We present the status of stroke management in Greece using the Registry of Stroke Care Quality (RES-Q) dataset. Methods: Consecutive patients with acute stroke were prospectively registered in RES-Q registry by contributing sites in Greece during the years 2017-2021. Demographic and baseline characteristics, acute management, and clinical outcomes at discharge were recorded. Stroke quality metrics, with a specific interest in the association between acute reperfusion therapies and functional recovery in ischemic stroke patients are presented. Results: A total of 3590 acute stroke patients were treated in 20 Greek sites (61% men, median age 64 years; median baseline NIHSS 4; 74% ischemic stroke). Acute reperfusion therapies were administered in almost 20% of acute ischemic stroke patients, with a door to needle and door to groin puncture times of 40 and 64 min, respectively. After adjustment for contributing sites, the rates of acute reperfusion therapies were higher during the time epoch 2020-2021 compared to 2017-2019 (adjusted OR 1.31; 95% CI 1.04-1.64; p < 0.022; Cochran-Mantel-Haenszel test). After propensity-score-matching, acute reperfusion therapies administration was independently associated with higher odds of reduced disability (one point reduction across all mRS scores) at hospital discharge (common OR 1.93; 95% CI 1.45-2.58; p < 0.001). Conclusions: Implementation and maintenance of a nationwide stroke registry in Greece may guide the stroke management planning, so that prompt patient transportation, acute reperfusion therapies, and stroke unit hospitalization become more widely accessible, improving the functional outcomes of stroke patients.

Myocardial Ischemia on MPI SPECT in a Patient with Acute Myeloid Leukemia Without Significant Coronary Artery Disease.

Herein, we report the case of a 56-year-old male patient with acute myeloid leukemia (AML) in remission who had asymptomatic myocardial ischemia on myocardial perfusion imaging and transthoracic echocardiography. Angiography did not reveal any significant coronary artery disease. Although the etiology is not entirely clear, this case suggested that myocardial perfusion imaging should be considered in patients with AML who received idarubicin to screen for possible myocardial dysfunction.

Persistent decline of hospitalizations for acute stroke and acute coronary syndrome during the second wave of the COVID-19 pandemic in Greece: collateral damage unaffected.

BACKGROUND: An alarming cerebro/cardiovascular collateral damage, reflected by a decline in admissions for acute stroke (AS) and acute coronary syndrome (ACS), was observed during the initial phase of the COVID-19 pandemic, thereby leading to a re-design of public campaigns. However, there are limited data regarding the AS and ACS hospitalization rates during the second wave of the pandemic, which was followed by re-imposition of lockdowns. METHODS: We calculated the rate of AS and ACS hospitalizations from three representative tertiary care hospitals in Greece during a 2-month period (November-December 2020) of the second wave of the COVID-19 pandemic compared with the corresponding control period in 2019 from three representative tertiary care hospitals in Greece. This was a follow-up study with identical design to our previous report evaluating AS and ACS hospitalizations during the first wave of the pandemic (March-April 2020). RESULTS: Compared with 2019, there was a 34% relative reduction of AS hospitalizations [incidence rate ratio (IRR): 0.66, 95% confidence interval (CI): 0.48-0.92, p = 0.013] and 33% relative reduction of ACS hospitalizations (IRR: 0.67, 95% CI: 0.54-0.83, p < 0.001) during the second wave of the COVID-19 pandemic. The relative reduction was smaller and did not reach the level of statistical significance for the respective syndromes (haemorrhagic stroke: IRR 0.87, 95% CI: 0.41-1.82, p = 0.71; ST-elevation myocardial infarction: IRR 0.81, 95% CI: 0.57-1.14, p = 0.22). CONCLUSION: AS and ACS hospitalizations were persistently reduced during the second wave of the COVID-19 pandemic compared with 2019 in Greece. This decline was similar to the observations during the first wave despite the large differences in the epidemiological COVID-19 burden. Lockdowns, a common characteristic in both waves, appear to have a detrimental indirect impact on cerebro/cardiovascular diseases in the general population.