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  1. Fulltext Comparing measured total carbon dioxide and calculated bicarbonate
    Nasir NM, Sthaneshwar P, Yunus PJ, Yap SF
    Malays J Pathol, 2010 Jun;32(1):21-6.
    PMID: 20614722 MyJurnal
    The objective of the study is to determine the level of agreement between measured total carbon dioxide (TCO2) and calculated bicarbonate (HCO3-) in our laboratory.
    Matched MeSH terms: Bicarbonates/blood*
  2. Fulltext Renal tubular acidosis in Kelantan, Malaysia--a case review
    Zainal D
    Singapore Med J, 1994 Jun;35(3):303-5.
    PMID: 7997910
    Renal tubular acidosis (RTA) is a defect in urinary acidification in the absence of renal failure. All records of patients admitted to adult medical wards at the University Hospital USM (HUSM), Kelantan between 1986 to 1990 with the diagnosis of renal tubular acidosis were reviewed. Sixteen (16) patients were identified and fulfilled the diagnostic criteria. Their mean age at presentation was 28.9 +/- 0.74 years. The triad of muscle weakness, hypokalaemia and systemic metabolic acidosis were the characteristic features at presentation. Normal serum alkaline phosphatase and skeletal X-rays were noted. Their prognosis were generally good. Their mean serum bicarbonate and potassium on follow up were 17.84 +/- 0.35 and 3.82 +/- 0.05 mmol/L respectively. The importance of regular follow-up and long-term management is emphasised.
    Matched MeSH terms: Bicarbonates/blood
  3. Fulltext Prediction of mortality in severe dengue cases
    Md-Sani SS, Md-Noor J, Han WH, Gan SP, Rani NS, Tan HL, et al.
    BMC Infect Dis, 2018 05 21;18(1):232.
    PMID: 29783955 DOI: 10.1186/s12879-018-3141-6
    BACKGROUND: Increasing incidence of dengue cases in Malaysia over the last few years has been paralleled by increased deaths. Mortality prediction models will therefore be useful in clinical management. The aim of this study is to identify factors at diagnosis of severe dengue that predicts mortality and assess predictive models based on these identified factors.

    METHOD: This is a retrospective cohort study of confirmed severe dengue patients that were admitted in 2014 to Hospital Kuala Lumpur. Data on baseline characteristics, clinical parameters, and laboratory findings at diagnosis of severe dengue were collected. The outcome of interest is death among patients diagnosed with severe dengue.

    RESULTS: There were 199 patients with severe dengue included in the study. Multivariate analysis found lethargy, OR 3.84 (95% CI 1.23-12.03); bleeding, OR 8.88 (95% CI 2.91-27.15); pulse rate, OR 1.04 (95% CI 1.01-1.07); serum bicarbonate, OR 0.79 (95% CI 0.70-0.89) and serum lactate OR 1.27 (95% CI 1.09-1.47), to be statistically significant predictors of death. The regression equation to our model with the highest AUROC, 83.5 (95% CI 72.4-94.6), is: Log odds of death amongst severe dengue cases = - 1.021 - 0.220(Serum bicarbonate) + 0.001(ALT) + 0.067(Age) - 0.190(Gender).

    CONCLUSION: This study showed that a large proportion of severe dengue occurred early, whilst patients were still febrile. The best prediction model to predict death at recognition of severe dengue is a model that incorporates serum bicarbonate and ALT levels.

    Matched MeSH terms: Bicarbonates/blood
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