Displaying all 5 publications

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  1. Khaw GE
    Med J Malaysia, 1998 Mar;53(1):114-6.
    PMID: 10968151
    Neural leprosy is rare. This is a report of a 63-year-old Indian man who had long standing multiple peripheral neuropathy. The slit skin smear for acid-fast bacilli of Mycobacterium leprae was positive. The skin and nerve biopsies were normal. He was treated with rifampicin, dapsone and clofazimine.
    Matched MeSH terms: Peripheral Nervous System Diseases/etiology*
  2. Deva JP
    Med J Malaysia, 1976 Mar;30(3):201-6.
    PMID: 183087
    Matched MeSH terms: Peripheral Nervous System Diseases/etiology
  3. Baba R, Razak M
    Med J Malaysia, 1998 Sep;53 Suppl A:42-51.
    PMID: 10968182
    Out of 218 fractures of humeral shaft treated in the department, 23 (10.5%) of them developed non-union. 14/23 (60.9%) fracture were located in middle third. Transverse (52.2%), short oblique (17.4%) and comminuted fracture (13.0%) constituted about 82% of all initial fracture pattern. Twelve cases (52.5%) were initially treated with hanging cast. Radial nerve palsy occurred in 4/23 (17.4%) of patient and all of them located at lower third of humerus and only one recovered after eight weeks of injury. Factors such as middle third comminuted opened fractures, soft tissue interposition, improper immobilization and poor patient compliance were found to be directly associated with the non-union. All non-unions healed following plating and bone grafting. Overall 17/23 patient (74%) had good results, 4/23 (17%) fair and 2/23 (9%) with poor functional results.
    Matched MeSH terms: Peripheral Nervous System Diseases/etiology
  4. Sampath Kumar A, Arun Maiya G, Shastry BA, Vaishali K, Maiya S, Umakanth S
    Diabetes Metab Syndr, 2018 10 10;13(1):344-348.
    PMID: 30641723 DOI: 10.1016/j.dsx.2018.10.005
    BACKGROUND: Basal Metabolic Rate (BMR) means the amount of energy utilized by body in physical and psychological resting rate, after a night sleep, awake without any previous physical activity post meal (10 h after last meal) & neutral environment. In people with type 2 diabetes mellitus (T2DM) there is an increase in BMR which is said to be associated with the level of glycaemic control. So, the objective of the study was to find out the correlation between BMR, Insulin resistance and Visceral fat in T2DM with peripheral neuropathy.

    MATERIALS & METHODS: A total of 50 participants with T2DM with peripheral neuropathy were included. Age group of 30-75 years were selected for the study. Participants with a known history of neurological disease, locomotor disability, and pregnancy were excluded from the study. Demographic details of the participants like duration of diabetes mellitus, age, Fasting Blood Glucose, Fasting Insulin, HOMA-IR, Glycated Haemoglobin (HBA1c), Neuropathy and Blood pressure values were noted. We measured Basal Metabolic Rate (BMR) by using Mifflin-St Jeor predictive equation in T2DM with peripheral neuropathy.

    RESULTS: The mean age of the participants is 60.16 ± 10.62. The mean duration of T2DM 13.44 ± 11.92. In the present study we found a statistical significant correlation between BMR and HOMA IR (r = 0.913*; p = 0.000), BMR & Fasting blood sugar (FBS) (r = 0.281*; p = 0.048), BMR and Visceral fat (VF) (r = 0.332*; p = 0.018).

    CONCLUSION: Basal metabolic rate is correlated to Homa-IR, visceral fat, fasting blood sugar and musculoskeletal mass among T2DM with peripheral neuropathy.

    Matched MeSH terms: Peripheral Nervous System Diseases/etiology
  5. Raja J, Balaikerisnan T, Ramanaidu LP, Goh KJ
    Int J Rheum Dis, 2021 Mar;24(3):347-354.
    PMID: 33432774 DOI: 10.1111/1756-185X.14042
    AIM: The reported prevalence of peripheral neuropathy in systemic sclerosis (SSc) is variable between 0.01% to 28%, probably due to differences in sample size, study design and population. Our aim is to determine the prevalence of large fiber peripheral neuropathy in SSc and to identify any contributing factors.

    METHOD: A prospective cross-sectional study of 60 SSc patients were evaluated for large fiber neuropathy using the modified clinical Total Neuropathy Score (cTNS) and nerve conduction study (NCS) of the upper and lower limbs. A combination of clinical (cTNS score ≥ 2) and NCS criteria (≥2 abnormal nerves including 1 sural [symmetrical polyneuropathy] and NCS abnormalities consistent with individual nerves/nerve roots [focal neuropathy]) was used to diagnose peripheral neuropathy.

    RESULTS: The majority had limited cutaneous subset (75%). Mean age was 55.73 (SD ± 13.04) years and mean disease duration was 8.61 (SD ± 8.09) years. Twenty-two (36.7%) had combined clinical and NCS criteria for peripheral neuropathy, 14 (23.3%) with symmetrical polyneuropathy and 8 (13.3%) with focal neuropathy. Symmetrical polyneuropathy patients had significantly lower hemoglobin levels (11.2 vs. 12.35 g/L; P = .047). Serum vitamin B12 levels were normal, therefore excluding vitamin B12 deficiency. No other associations were found for both polyneuropathy and focal neuropathy with demography, co-morbid diseases and SSc disease factors such as Raynaud's phenomenon and modified Rodnan skin score.

    CONCLUSION: Large fiber neuropathy is common in SSc patients, which could contribute to non-lethal burden in SSc with sensory loss and muscle weakness. Apart from lower hemoglobin in polyneuropathy, there were no associations with disease-specific features or co-morbid diseases.

    Matched MeSH terms: Peripheral Nervous System Diseases/etiology
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