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  1. Rahman NA, Fauzi AA, Chung TY, Latif LA, Chan SC
    Aust J Gen Pract, 2020 2 3;49(1-2):48-53.
    PMID: 32008261 DOI: 10.31128/AJGP-07-19-4991
    BACKGROUND AND OBJECTIVES: Diabetic Charcot foot (DCF) can cause gross structural deformities of the foot and ankle. The main objective of this study was to identify complications of DCF and its associated factors.

    METHOD: This is a retrospective cohort study. Data on medical background, previous DCF treatment and complications were obtained. Multiple logistic regression analysis was performed to measure factors related to various complications of DCF.

    RESULTS: Ninety-eight patient records were retrieved. Of the 83 patients who were still alive, 75.9% (n = 63) had recurrent ulcers, 53.0% (n = 44) had undergone foot surgery and 45.8% (n = 38) had undergone amputation. Patients with a history of recurrent ulcers have the highest predilection to amputation (odds ratio: 8.5; 95% confidence interval: 1.8, 39.1).

    DISCUSSION: In terms of DCF complications, foot ulcers are an independent predictor of recurrent foot ulcers, foot surgery and amputation. Regular foot assessment of patients with DCF to prevent ulcers is strongly recommended.

    Matched MeSH terms: Amyotrophic Lateral Sclerosis/physiopathology*
  2. Toh TH, Abdul-Aziz NA, Yahya MA, Goh KJ, Loh EC, Capelle DP, et al.
    Clin Neurophysiol, 2021 10;132(10):2722-2728.
    PMID: 34312065 DOI: 10.1016/j.clinph.2021.05.034
    OBJECTIVE: We aimed to develop a model to predict amyotrophic lateral sclerosis (ALS) disease progression based on clinical and neuromuscular ultrasound (NMUS) parameters.

    METHODS: ALS patients were prospectively recruited. Muscle fasciculation (≥2 over 30-seconds, examined in biceps brachii-brachialis (BB), brachioradialis, tibialis anterior and vastus medialis) and nerve cross-sectional area (CSA) (median, ulnar, tibial, fibular nerve) were evaluated through NMUS. Ultrasound parameters were correlated with clinical data, including revised ALS Functional Rating Scale (ALSFRS-R) progression at one year. A predictive model was constructed to differentiate fast progressors (ALSFRS-R decline ≥ 1/month) from non-fast progressors.

    RESULTS: 40 ALS patients were recruited. Three parameters emerged as strong predictors of fast progressors: (i) ALSFRS-R slope at time of NMUS (p = 0.041), (ii) BB fasciculation count (p = 0.027) and (iii) proximal to distal median nerve CSA ratio 

    Matched MeSH terms: Amyotrophic Lateral Sclerosis/physiopathology
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