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  1. Balasegaram M
    Ann Surg, 1972 Feb;175(2):149-54..
    PMID: 5059599
    Matched MeSH terms: Liver Diseases/complications*
  2. Lee WS, Jalaludin MY, Wong SY, Ong SY, Foo HW, Ng RT
    Pediatr Neonatol, 2019 02;60(1):12-18.
    PMID: 29680189 DOI: 10.1016/j.pedneo.2018.03.011
    BACKGROUND: To determine vitamin D status in children with chronic liver disease (CLD) in a tropical country.

    METHODS: Cross-sectional study in Malaysian children with CLD. Factors affecting serum vitamin D level (definition: deficient 

    Matched MeSH terms: Liver Diseases/complications*
  3. Looi LM
    Malays J Pathol, 1994 Jun;16(1):11-3.
    PMID: 16329569
    Congo red screening of routine biopsies at the University Hospital Kuala Lumpur revealed the following categories of amyloidosis: systemic AL (5.9%); systemic AA (3.2%); isolated atrial (14%); primary localized cutaneous (7.5%); other primary localized deposits (3.2%); localized intratumour (58%); and dystrophic (8.6%). Unlike in the West, AA amyloidosis in this population was usually secondary to leprosy or tuberculosis. Liver involvement in AL amyloidosis was shown to exhibit a sinusoidal pattern and differed from the vascular pattern of AA amyloidosis. Within the category of AA amyloidosis, there were two patterns of renal involvement--glomerular and vascular, with the glomerular pattern carrying a more ominous clinical picture. Notable among the localized amyloidoses were isolated atrial amyloidosis complicating chronic rheumatic heart disease, intratumour amyloidosis within nasopharyngeal carcinomas and dystrophic amyloidosis which occurred in fibrotic tissues.
    Matched MeSH terms: Liver Diseases/complications
  4. Amir O, Hassan Y, Sarriff A, Awaisu A, Abd Aziz N, Ismail O
    Pharm World Sci, 2009 Jun;31(3):387-93.
    PMID: 19255869 DOI: 10.1007/s11096-009-9288-x
    STUDY OBJECTIVE: To determine the incidence of and the risk factors associated with hyperkalemia, induced by ACEI-drug interactions among cardiac patients.

    SETTING: Five medical and cardiology wards of a tertiary care center in Malaysia.

    SUBJECTS: Five hundred cardiac inpatients, who received ACEIs concomitantly with other interacting drugs.

    METHOD: This was a prospective cohort study of 500 patients with cardiovascular diseases admitted to Penang Hospital between January to August 2006, who received ACEIs concomitantly with other interacting drugs. ACEI-drug interactions of clinical significance were identified using available drug information resources. Drug Interaction Probability Scale (DIPS) was used to assess the causality of association between ACEI-drug interactions and the adverse outcome (hyperkalemia).

    MAIN OUTCOME MEASURE: Hyperkalemia as an adverse clinical outcome of the interaction was identified from laboratory investigations.

    RESULTS: Of the 489 patients included in the analysis, 48 (9.8%) had hyperkalemia thought to be associated with ACEI-drug interactions. Univariate analysis using binary logistic regression revealed that advanced age (60 years or more), and taking more than 15 medications were independent risk factors significantly associated with hyperkalemia. However, current and previous smoking history appeared to be a protective factor. Risk factors identified as predictors of hyperkalemia secondary to ACEI-drug interactions by multi-logistic regression were: advanced age (adjusted OR 2.3, CI 1.07-5.01); renal disease (adjusted OR 4.7, CI 2.37-9.39); hepatic disease (adjusted OR 5.2, CI 1.08-25.03); taking 15-20 medications (adjusted OR 4.4, CI 2.08-9.19); and taking 21-26 medications (adjusted OR 9.0, CI 1.64-49.74).

    CONCLUSION: Cardiac patients receiving ACEIs concomitantly with potentially interacting drugs are at high risk of experiencing hyperkalemia. Old age, renal disease, hepatic disease, and receiving large number of medications are factors that may significantly increase their vulnerability towards this adverse outcome; thus, frequent monitoring is advocated.

    Matched MeSH terms: Liver Diseases/complications
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