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  1. Muhammad Anwar Hau A
    Med J Malaysia, 2008 Sep;63 Suppl C:75.
    PMID: 19230251
    Matched MeSH terms: Diabetic Foot/epidemiology*
  2. Roesnita B, Tay ST, Puthucheary SD, Sam IC
    Trans R Soc Trop Med Hyg, 2012 Feb;106(2):131-3.
    PMID: 22112687 DOI: 10.1016/j.trstmh.2011.10.007
    Routine use of selective media improves diagnosis of Burkholderia pseudomallei, but resources may be limited in endemic developing countries. To maximise yield in the relatively low-prevalence setting of Kuala Lumpur, Malaysia, B. pseudomallei selective agar and broth were compared with routine media for 154 respiratory specimens from patients with community-acquired disease. Selective media detected three additional culture-positive specimens and one additional melioidosis patient, at a consumables cost of US$75. Burkholderia pseudomallei was not isolated from 74 diabetic foot ulcer samples. Following careful local evaluation, focused use of selective media may be cost-effective.
    Matched MeSH terms: Diabetic Foot/epidemiology
  3. Kee KK, Nair HKR, Yuen NP
    J Wound Care, 2019 Jan 01;28(Sup1):S4-S13.
    PMID: 30724120 DOI: 10.12968/jowc.2019.28.Sup1.S4
    OBJECTIVE:: Objectives. To determine the prevalence and risk factors for diabetic foot infection (DFI), and to identify factors associated with delayed wound healing of diabetic foot ulcer (DFU).

    METHOD:: The retrospective study was performed in a referral wound care clinic in Hospital Kuala Lumpur. Data was collected from January 2014 to October 2016 on DFU patients who attended this clinic.

    RESULTS:: Of the 340 patients (216 male and 124 female) DFU patients who attended the clinic (mean age: 58.1±10.8 years old), 41.5% presented with infection with a mean cross-sectional ulcer area of 21.5±33.2cm2. Binary logistic regression analysis revealed that patients of Chinese ethnicity (OR: 3.39; 95%CI 1.49 to 7.70), with fasting blood glucose ≥7mmol/l (OR: 3.41; 95%CI 1.57 to 7.39), ulcer size ≥10cm2 (OR: 2.90; 95%CI 1.45 to 5.82) and blood pressure ≥140/90mmHg (OR: 2.52; 95%CI 1.54 to 4.14) were more likely to develop DFI. The median healing time for patients with DFUs was three months. There were six variables identified as significantly associated with prolonged healing time of DFU, namely presence of infection (p<0.001), poor glycaemic control with fasting blood glucose ≥7mmol/l (p<0.001), high blood pressure ≥140/90mmHg (p<0.001), large DFU size ≥2cm2 (p<0.001), history of amputation (p<0.005) and plantar location of the DFU (p<0.05).

    CONCLUSION:: Large DFU size, poor glycaemic and blood pressure control are common risk factors for both DFU and DFI. Unexpected high prevalence and ethnicity risk factor for DFI urge more comprehensive primary and secondary preventative strategies to reduce its incidence.

    Matched MeSH terms: Diabetic Foot/epidemiology*
  4. Yusof NM, Rahman JA, Zulkifly AH, Che-Ahmad A, Khalid KA, Sulong AF, et al.
    Singapore Med J, 2015 Nov;56(11):626-31.
    PMID: 26668408 DOI: 10.11622/smedj.2015172
    Introduction: Diabetes mellitus (DM) is the most common cause of amputations in Malaysia. This study aimed to identify the predictive factors for major lower limb amputation among patients with type 2 DM (T2DM) who were admitted to a hospital, in order to reduce its likelihood.
    Methods: This cross-sectional study involved 218 patients with T2DM who were admitted to Hospital Tengku Ampuan Afzan, Kuantan, Malaysia, for diabetic foot problems from June 2011 to July 2012. A form was developed to document the patients' profiles, comorbidities, complications, investigations, treatment and clinical outcomes. The predictors for major lower limb amputations were determined using univariate and stepwise logistic regression analysis.
    Results: A total of 31 patients underwent major lower limb amputations (25 transtibial, 6 transfemoral). The following factors were found to be associated with the incidence of major lower limb amputations: T2DM duration ≥ 10 years, diabetic neuropathy, diabetic nephropathy, presentation with gangrene, diabetic foot conditions of Wagner grade 4 or 5, and necrotising fasciitis. Patients who underwent major amputations had significantly lower haemoglobin and albumin levels, and higher total white blood cell counts, erythrocyte sedimentation rates, and C-reactive protein, urea and creatinine levels. However, only T2DM duration ≥ 10 years, positive bacterial culture and albumin levels were significant on stepwise logistic regression analysis.
    Conclusion: T2DM duration ≥ 10 years, positive bacterial culture and low albumin levels were found to be significant predictive factors for major lower limb amputation among patients with T2DM admitted for diabetic foot problems.
    Keywords: amputation; diabetes mellitus; diabetic foot; lower limb; type II.
    Matched MeSH terms: Diabetic Foot/epidemiology
  5. Yang Y, Østbye T, Tan SB, Abdul Salam ZH, Ong BC, Yang KS
    J Diabetes Complications, 2011 Nov-Dec;25(6):382-6.
    PMID: 21983153 DOI: 10.1016/j.jdiacomp.2011.08.002
    BACKGROUND:
    Among other risk factors, renal disease and ethnicity have been associated with diabetic lower extremity amputation (LEA) in Western populations. However, little is known about risk factors for LEA among Asian patients.

    OBJECTIVE:
    The objective was to assess the proportion of hospitalized patients with diabetes who have a LEA among all hospital patients with diabetes mellitus (DM) and to investigate risk factors for diabetic LEA (especially renal disease and ethnicity) using hospital discharge database.

    METHOD:
    A retrospective study of hospital discharge database (2004-2009) was performed to identify patients with DM, LEA and renal disease using the International Statistical Classification of Diseases and Related Health Problems, Ninth Revision, Australian Modification codes.

    RESULTS:
    Of 44 917 hospitalized patients with DM during the 6 years, 7312 (16.3%) patients had renal disease, and 1457 (3.2%) patients had LEA. DM patients with renal disease had significant higher rates of LEA (7.1%) compared to DM patients without renal disease (2.5%, P < .001). The differences were present for foot (2.7% vs. 1.2%), ankle or leg (2.8% vs. 0.9%), and knee or above amputation (1.6% vs. 0.4%, all P
    Matched MeSH terms: Diabetic Foot/epidemiology
  6. Lim LL, Lau ESH, Fu AWC, Ray S, Hung YJ, Tan ATB, et al.
    JAMA Netw Open, 2021 04 01;4(4):e217557.
    PMID: 33929522 DOI: 10.1001/jamanetworkopen.2021.7557
    Importance: Many health care systems lack the efficiency, preparedness, or resources needed to address the increasing number of patients with type 2 diabetes, especially in low- and middle-income countries.

    Objective: To examine the effects of a quality improvement intervention comprising information and communications technology and contact with nonphysician personnel on the care and cardiometabolic risk factors of patients with type 2 diabetes in 8 Asia-Pacific countries.

    Design, Setting, and Participants: This 12-month multinational open-label randomized clinical trial was conducted from June 28, 2012, to April 28, 2016, at 50 primary care or hospital-based diabetes centers in 8 Asia-Pacific countries (India, Indonesia, Malaysia, the Philippines, Singapore, Taiwan, Thailand, and Vietnam). Six countries were low and middle income, and 2 countries were high income. The study was conducted in 2 phases; phase 1 enrolled 7537 participants, and phase 2 enrolled 13 297 participants. Participants in both phases were randomized on a 1:1 ratio to intervention or control groups. Data were analyzed by intention to treat and per protocol from July 3, 2019, to July 21, 2020.

    Interventions: In both phases, the intervention group received 3 care components: a nurse-led Joint Asia Diabetes Evaluation (JADE) technology-guided structured evaluation, automated personalized reports to encourage patient empowerment, and 2 or more telephone or face-to-face contacts by nurses to increase patient engagement. In phase 1, the control group received the JADE technology-guided structured evaluation and automated personalized reports. In phase 2, the control group received the JADE technology-guided structured evaluation only.

    Main Outcomes and Measures: The primary outcome was the incidence of a composite of diabetes-associated end points, including cardiovascular disease, chronic kidney disease, visual impairment or eye surgery, lower extremity amputation or foot ulcers requiring hospitalization, all-site cancers, and death. The secondary outcomes were the attainment of 2 or more primary diabetes-associated targets (glycated hemoglobin A1c <7.0%, blood pressure <130/80 mm Hg, and low-density lipoprotein cholesterol <100 mg/dL) and/or 2 or more key performance indices (reduction in glycated hemoglobin A1c≥0.5%, reduction in systolic blood pressure ≥5 mm Hg, reduction in low-density lipoprotein cholesterol ≥19 mg/dL, and reduction in body weight ≥3.0%).

    Results: A total of 20 834 patients with type 2 diabetes were randomized in phases 1 and 2. In phase 1, 7537 participants (mean [SD] age, 60.0 [11.3] years; 3914 men [51.9%]; 4855 patients [64.4%] from low- and middle-income countries) were randomized, with 3732 patients allocated to the intervention group and 3805 patients allocated to the control group. In phase 2, 13 297 participants (mean [SD] age, 54.0 [11.1] years; 7754 men [58.3%]; 13 297 patients [100%] from low- and middle-income countries) were randomized, with 6645 patients allocated to the intervention group and 6652 patients allocated to the control group. In phase 1, compared with the control group, the intervention group had a similar risk of experiencing any of the primary outcomes (odds ratio [OR], 0.94; 95% CI, 0.74-1.21) but had an increased likelihood of attaining 2 or more primary targets (OR, 1.34; 95% CI, 1.21-1.49) and 2 or more key performance indices (OR, 1.18; 95% CI, 1.04-1.34). In phase 2, the intervention group also had a similar risk of experiencing any of the primary outcomes (OR, 1.02; 95% CI, 0.83-1.25) and had a greater likelihood of attaining 2 or more primary targets (OR, 1.25; 95% CI, 1.14-1.37) and 2 or more key performance indices (OR, 1.50; 95% CI, 1.33-1.68) compared with the control group. For attainment of 2 or more primary targets, larger effects were observed among patients in low- and middle-income countries (OR, 1.50; 95% CI, 1.29-1.74) compared with high-income countries (OR, 1.20; 95% CI, 1.03-1.39) (P = .04).

    Conclusions and Relevance: In this 12-month clinical trial, the use of information and communications technology and nurses to empower and engage patients did not change the number of clinical events but did reduce cardiometabolic risk factors among patients with type 2 diabetes, especially those in low- and middle-income countries in the Asia-Pacific region.

    Trial Registration: ClinicalTrials.gov Identifier: NCT01631084.

    Matched MeSH terms: Diabetic Foot/epidemiology
  7. Naserrudin NA, Jeffree MS, Kaur N, Syed Abdul Rahim SS, Ibrahim MY
    PLoS One, 2022 01 28;17(1):e0261249.
    PMID: 35089931 DOI: 10.1371/journal.pone.0264247
    Every person diagnosed with diabetes mellitus (T2DM) is at risk of developing Diabetic retinopathy (DR). Thus, DR is one of the major chronic microvascular complications of T2DM. However, in Malaysia, research about DR is still scarce. This study aimed to determine the prevalence of DR among diabetic patients across 46 primary healthcare clinics in Sabah, Malaysia. Secondly, it purported to identify the factors influencing the development of DR. This cross-sectional study involved a total of 22,345 Type 2 diabetes mellitus (T2DM) patients in the Sabah Diabetic Registry from 2008 to 2015. Of the 22,345 T2DM patients, 13.5% (n = 3,029) of them were diagnosed with DR. Multiple logistic regression revealed seven major risk factors of DR, i.e. patients with diabetic foot ulcer [aOR: 95% CI 3.08 (1.96-4.85)], patients with diabetic nephropathy [aOR: 95% CI 2.47 (2.13-2.86)], hypertension [aOR: 95% CI 1.63 (1.43-1.87)], dyslipidaemia [aOR: 95% CI 1.30 (1.17-1.44)], glycated haemoglobin [(HbA1c) > 6.5 (aOR: 95% CI 1.25 (1.14-1.38)], duration of diabetes mellitus (T2DM) [aOR: 95% CI 1.06 (1.05-1.07)] and age of patient [aOR: 95% CI 1.01 (1.00-1.02)] respectively. DR is a preventable complication. The effective glycaemic control is crucial in preventing DR. In minimizing the prevalence of DR, the healthcare authorities should institute programmes to induce awareness on the management of DR's risk factors among patient and practitioner.
    Matched MeSH terms: Diabetic Foot/epidemiology
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