Displaying publications 21 - 25 of 25 in total

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  1. Rao PV, Ahuja MM, Trivedi BB, Ramachandran M, Samal KC, Zain AZ, et al.
    J Indian Med Assoc, 1998 May;96(5):155-7.
    PMID: 9828573
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  2. Chew BH, Lee PY, Cheong AT, Ismail M, Shariff-Ghazali S, Goh PP
    Prim Care Diabetes, 2016 10;10(5):383-6.
    PMID: 27459893 DOI: 10.1016/j.pcd.2016.07.003
    A persistent and increasing prevalence of diagnosed and undiagnosed diabetes mellitus has recently been reported in the National Health and Morbidity Survey 2015. This commentary recapitulates the relevant and valuable lessons in the Malaysian national diabetes registries to inform the healthcare stakeholders and policy makers on potential areas of clinical practice improvement and future researches. Under performance of the process measures and sub-optimal control of HbA1c, blood pressure and lipids profile were prevalent (<40% achieved treatment targets). Although these had improved slightly from 2009 to 2012, diabetes co-morbidities (hypertension and dyslipidaemia) and complications had also increased. Prevalence of insulin use had doubled, and lipid lowering agent use had increased about 50% in 2012 compared to 2009. We identified six clinical areas for urgent attention and improvement, and three potential areas for future research.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  3. Carayol M, Leitzmann MF, Ferrari P, Zamora-Ros R, Achaintre D, Stepien M, et al.
    J Proteome Res, 2017 Sep 01;16(9):3137-3146.
    PMID: 28758405 DOI: 10.1021/acs.jproteome.6b01062
    Metabolomics is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. 40 and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary subcohorts, respectively. Twenty two individual metabolites (kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines) were associated with BMI in both subcohorts. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identify mechanisms mediating the relationship of BMI with obesity-related diseases.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  4. Mallhi TH, Khan YH, Adnan AS
    Am J Trop Med Hyg, 2020 Dec;103(6):2164-2167.
    PMID: 33124548 DOI: 10.4269/ajtmh.20-0794
    Despite myriad improvements in the care of COVID-19 patients, atypical manifestations are least appreciated during the current pandemic. Because COVID-19 is primarily manifesting as an acute respiratory illness with interstitial and alveolar pneumonia, the possibility of viral invasions into the other organs cannot be disregarded. Acute kidney injury (AKI) has been associated with various viral infections including dengue, chikungunya, Zika, and HIV. The prevalence and risks of AKI during the course of COVID-19 have been described in few studies. However, the existing literature demonstrate great disparity across findings amid variations in methodology and population. This article underscores the propensity of AKI among COVID-19 patients, limitations of the exiting evidence, and importance of timely identification during the case management. The prevalence of AKI is variable across the studies ranging from 4.7% to 81%. Evidence suggest old age, comorbidities, ventilator support, use of vasopressors, black race, severe infection, and elevated levels of baseline serum creatinine and d-dimers are independent risk factors of COVID-19 associated with AKI. COVID-19 patients with AKI also showed unsatisfactory renal recovery and higher mortality rate as compared with patients without AKI. These findings underscore that AKI frequently occurs during the course of COVID-19 infection and requires early stratification and management.
    Matched MeSH terms: Diabetes Mellitus/diagnosis
  5. Menon R, Mohd Noor FS, Draman CR, Seman MR, Ghani AS
    Saudi J Kidney Dis Transpl, 2012 Sep;23(5):1109-14.
    PMID: 22982937 DOI: 10.4103/1319-2442.100972
    Diabetic nephropathy (DN) has become the most common cause of end-stage renal failure. Early referral and specific nephrology treatment could delay the disease progression and should reduce the treatment cost, mortality and morbidity rate in these patients. This is a single-center, retrospective review of all DN patients referred to the nephrology clinic in Hospital Sultan Ahmad Shah, Temerloh, from 2000 to 2009, to study and define the clinical characteristics of DN patients at the time of the referral to the nephrology clinic. A total of 75 patient case records were reviewed. Forty-three (57.3%) of them were males, with a median age of 64.3 ± 8.5 years at the time of referral. Only 14.7% of them had blood pressure lower than 125/75 mmHg. Co-morbid and disease-related complications were also commonly diagnosed and 28.4% (n = 21) had ischemic heart disease, 23% (n = 17) had diabetic retinopathy and 20.3% (n = 15) had diabetic neuropathy. The mean serum creatinine at the time of referral was 339.8 ± 2.3 μmol/L, gylcated hemoglobin A 1c (HbA1C) was 8.1 ± 2.0 %, serum fasting glucose was 9.6 ± 4.7 mmol/L, serum cholesterol was 5.4 ± 1.2 mmol/L and hemoglobin level was 10.6 ± 2.9 g/dL. Although female patients were less frequently seen in the early stages of chronic kidney disease (CKD), they comprised at least 72.7% of CKD stage 5 (male:female; 6:16, P <0.05). Twenty-nine percent (n=22) of them were referred at CKD stage 5, 48% (n=36) were at CKD stage 4, 17.3% (n=13) were at CKD stage 3, 4% (n=3) were at CKD stage 2 and 1.3% (n=1) was at CKD stage 1. Advanced CKD patients were frequently prescribed with more antihypertensives. CKD stage 5 patients were prescribed with two-and-half types of antihypertensive as compared to two types of anti-hypertensive in CKD stage 2 and stage 3. Furthermore, ACE-inhibitors (ACE-I) were less frequently prescribed to them. Only 22.7% (n=5) of CKD stage 5 patients received ACE-I and 30% (n=11) in CKD stage 4 patients as compared to 53.4% (n=7) in CKD patients stage 3. This review shows that DN patients were referred late to the nephrologists and the overall disease management was suboptimal. Antihypertensive requirement was also increased and ACEIs were less frequently prescribed in the advanced diabetic nephropathy patients.
    Study site: Nephrology Clinic, Hospital Sultan Ahmad Shah, Temerloh, Pahang, Malaysia
    Matched MeSH terms: Diabetes Mellitus/diagnosis
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