Publications by authors named "S C Lattanzi"

Bioelectrical Impedance Vector Analysis (BIVA) is a valuable tool for evaluating hydration and body composition, but its application in subacute post-stroke patients remains unexplored. This study aimed to fill this gap by analyzing BIVA in a cohort of 87 subacute post-stroke patients (42 women, mean age 69 ± 12) undergoing rehabilitation. At admission (T0), diagnosis of malnutrition with GLIM criteria and of sarcopenia with EWGSOP2 was done, and patients were analyzed with BIVA.

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Article Synopsis
  • Soft tissue sarcomas (STSs) are rare tumors that often require extensive surgery, leading to a high risk of local recurrence and necessitating a tailored rehabilitation protocol post-surgery.
  • The proposed rehabilitation program, influenced by clinical experiences and literature, outlines specific recovery timelines and exercises to prevent complications associated with immobility.
  • After implementing this rehabilitation protocol, a study of 31 patients showed significant improvements in their daily functioning, pain levels, and walking speed, indicating the protocol's effectiveness in enhancing patient recovery.
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Background: Frailty, defined as multidimensional prognostic index (MPI), has been recently identified as strong predictor of disability and mortality in the elderly with acute ischemic stroke (AIS). The stress hyperglycemia ratio (SHR) is a recently introduced biomarker significantly associated with poor outcome in AIS.

Objectives: This study aimed to investigate in what extent frailty, measured by MPI, and SHR affects the 3-months outcome of patients > 65 years-old with AIS.

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Background/objectives: Finding innovative digital solutions is fundamental to ensure prompt and continuous care for patients with chronic neurological disorders, whose demand for rehabilitation also in home-based settings is steadily increasing. The aim is to verify the safety and the effectiveness of two telerehabilitation (TR) models in improving recovery from subacute upper limb (UL) disability after stroke, with and without a robotic device.

Methods: One hundred nineteen subjects with subacute post-stroke UL disability were assessed for eligibility.

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