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  1. Shaharir SS, Mohamed Said MS, Kong NC
    Reumatismo, 2012;64(6):341-9.
    PMID: 23285477 DOI: 10.4081/reumatismo.2012.341
    OBJECTIVES: To investigate the prevalence of thickened carotid intima media thickness (CIMT) and its associated risk factors in patients with lupus nephritis (LN) who were in remission.
    METHODS: This was a cross sectional study in which consecutive LN patients who were in remission and attending our Nephrology/SLE Clinic were included. Their demographic profile, traditional cardiovascular risk factors and treatment medications were evaluated by clinical interview and review of medical records. Carotid intima media thickness (CIMT) was measured using B Mode carotid ultrasonography. CIMT was considered to be abnormally thickened if it exceeded the 75th percentile matched for age-and sex-matched normal controls. The associated factors for thickened CIMT were examined.
    RESULTS: A total of 39 patients with a mean remission duration of 29 ± 24.3 months and on a mean prednisolone dose of 9.10 ± 7.83 mg daily completed the study. Six patients (15.4%) had thickened CIMT. On univariate analysis, male gender, patient age, older age at diagnosis, higher serum CRP levels, greater proteinuria and higher mean cumulative azathioprine dose were associated with thickened CIMT (P<0.05). Lower mean cumulative doses of cyclosporine A (CyA) and mycophenolic acid (MPA) (P<0.05) each were associated with thickened CIMT. Using regression analysis, the associated factors of CIMT were older age at diagnosis and proteinuria.
    CONCLUSIONS: Lupus factors particularly age at diagnosis and proteinuria were the associated factors of thickened CIMT. Larger prospective trials are indicated to confirm our findings.
  2. Wan Asyraf WA, Mohd Shahrir MS, Asrul W, Norasyikin AW, Hanita O, Kong WY, et al.
    Reumatismo, 2018 Dec 20;70(4):241-250.
    PMID: 30570242 DOI: 10.4081/reumatismo.2018.1075
    Based on the recent evidence of association between hyperprolactinemia and systemic lupus erythematosus disease activity (SLEDAI), a study was conducted to analyze the association of hyperprolactinemia with lupus nephritis disease activity. In this cross-sectional study, the analysis was conducted on SLE patients who visited the University Kebangsaan Malaysia Medical Centre (UKMMC) Nephrology Clinic from August 2015 till February 2016. The disease activity was measured using the SLEDAI score, with more than 4 indicating active lupus nephritis. Basal resting prolactin level was analyzed in 43 patients with lupus nephritis, in 27.9% of them had raised serum prolactin. The median of serum prolactin level at 0 minutes was 19.91 ng/mL (IQR: 15.95-22.65 ng/ mL) for active lupus nephritis, which was significantly higher compared to the median of serum prolactin level of 14.34 ng/mL (IQR: 11.09-18.70 ng/mL) for patients in remission (p=0.014). The serum prolactin level positively correlated with SLEDAI (rhos: 0.449, p=0.003) and the UPCI level in lupus nephritis patients (rhos: 0.241, p=0.032). The results were reproduced when the serum prolactin was repeated after 30 minutes. However, the serum prolactin levels at 0 minutes were higher than those taken after 30 minutes (p=0.001). An assessment of serum IL-6 levels found that the active lupus nephritis patients had a higher median level of 65.91 pg/ mL (IQR: 21.96-146.14 pg/mL) compared to the in-remission level of 15.84 pg/mL (IQR: 8.38-92.84 pg/mL), (p=0.039). Further correlation analysis revealed that there was no statistical correlation between the interleukin (IL)-6 levels with serum prolactin, SLEDAI and other lupus nephritis parameters. An ROC curve analysis of serum prolactin at 0 minutes and serum prolactin after 30 minutes and IL-6 levels for prediction of SLE disease activity provided the cutoff value of serum prolactin at 0 minutes, which was 14.63 ng/mL with a sensitivity of 91.7% and specificity of 58.1% and AUC of 0.74 (p=0.015). This study concurred with the previous findings that stated that hyperprolactinemia is prevalent in SLE patients and correlated with clinical disease activity and UPCI level. The baseline of the fasting serum prolactin level was found to be a sensitive biomarker for the evaluation of lupus nephritis disease activity.
  3. Koh KT, Teh CL, Cheah CK, Ling GR, Yong MC, Hong HC, et al.
    Reumatismo, 2016 Sep 09;68(2):90-6.
    PMID: 27608797 DOI: 10.4081/reumatismo.2016.872
    The objective of this study was to compare the tolerability of methotrexate in two different regimes of folic acid (FA) supplementation in rheumatoid arthritis (RA). We performed a multicenter, cross-sectional observational cohort study on 240 RA patients with 120 patients each in 5 mg of FA weekly and 30 mg of FA weekly supplementation. There were no significant differences for side effects (14.2 versus 22.5%, P=0.523) and discontinuation of methotrexate (3.6 versus 13.3%, P=0.085). RA patients given 5 mg of FA weekly supplementation had a lower disease activity score 28 compared to 30 mg of FA weekly supplementation [3.44 (1.10) versus 3.85 (1.40), P=0.014]. FA supplementation of 5 mg per week and 30 mg per week was associated with similar tolerability of methotrexate in RA patients.
  4. Teh CL, Cheong YK, Wan SA, Ling GR
    Reumatismo, 2019 Oct 24;71(3):154-159.
    PMID: 31649384 DOI: 10.4081/reumatismo.2019.1225
    Treat-to-target (T2T) for gout has been established recently to improve its management, which has been reported to be sub-optimal with significant gaps between the goals of treatment and day-to-day clinical practice. T2T recommended a goal of serum urate (SUA) target of <360 μmoI/L in all patients with gout and <300 μmoI/L in patients with tophaceous or severe gout. T2T strategy was applied in the management of gout patients in two Rheumatology clinics from 1 January 2016 onwards. We performed a clinical audit to assess T2T of SUA in gout patients and to identify causes for failure to achieve target SUA among them. There were a total of 304 patients for our analysis. They were of multi-ethnic origin with male predominance (88.8%). They had a mean age of 57.7+13.7 years and mean disease duration of 10.1+8.7 years. The most common comorbidities were hypertension (76.2%), dyslipidemia (52.5%) and diabetes mellitus (DM) (27.4%). Our patients' body mass indexes showed that 47.7% were obese while 34.2% were overweight. Up to 62.4% of our patients had tophi and 42.6% had joint deformities. Only 34.9% of patients achieved target SUA. Nonadherence (52.3%) was the main reason identified for failure to achieve target SUA. The independent predictors for failure to achieve target SUA were nonadherence (HR=7.84, p=0.000) and presence of tophi (HR=1.95, p=0.001).
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