Purpose Diabetic foot ulcer (DFU) is a common chronic complication of type 2 diabetes mellitus (T2DM) in Indonesia, with a prevalence of 7.3%. However, the characteristics of these patients remain unclear. We investigated the characteristics of patients with DFU without peripheral arterial disease (PAD) and analyzed non-vascular factors related to severity of DFU in a tertiary care national referral hospital in Indonesia. Methods This was a cross-sectional study including 123 hemodynamically stable DFU patients without PAD recruited from Dr. Cipto Mangunkusumo National General Hospital, Jakarta, Indonesia from 2010–2015. Results DFU patients were predominantly over 50 years old (75.6%) and diagnosed with T2DM for 5 years with poor glycemic control (82.7%) and peripheral neuropathy (91.3%). Most patients had anemia (86.7%), leukocytosis (84.6%), and were undernourished, as characterized by a low lipid profile (90.8%) and hypoalbuminemia (83.7%). Most had extensive size of ulcer at the initial visit, with a median size of 16.23 (2.92–60.16) cm². Ulcers were mostly located of the forefoot (62.5%) and were caused by mechanical trauma (46.2%). Bivariate analysis revealed that significant factors for the development of DFU were related to DFU size, including duration of T2DM (p = 0.04), leukocyte levels (p = < 0.01), and thrombocyte levels (p = < 0.01). Multivariate analysis showed leucocyte (p = 0.03) and thrombocyte (p = 0.023) had significantly correlated with DFU severity. Conclusion Leucocyte and thrombocyte may be the greatest contributing non-vascular factors for severity of DFU in Indonesia.

Background: Diabetic foot ulcer (DFU) is one of the most terrifying diabetic complications for patients, due to the high mortality rate and risk for amputation. During the COVID-19 pandemic, many diabetic patients limited their visits to the hospital, resulting in delays for treatment especially in emergency cases. Objective: This study aimed to compare the characteristics of patients with DFU pre- and during COVID-19 pandemic period. Methods: This study was a retrospective cohort study using foot registry data. We compared our patients’ characteristics pre-COVID-19 pandemic period (1 March 2019-28 February 2020) and during COVID-19 pandemic period (1 March 2020-28 February 2021). Results: Cohorts of 84 and 71 patients with DFU pre- and during COVID-19 pandemic period, respectively, were included in this study. High infection grade (66.7% vs 83.1%, P = .032), osteomyelitis event (72.6% vs 87.3%, P = .04), leukocyte count (15 565.0/μL vs 20 280.0/μL, P = .002), neutrophil-to-lymphocyte ratio (7.7 vs 12.1, P = .008), waiting time-to-surgery (39.0 h vs 78.5 h, P = .034), and number of major amputation (20.2% vs 39.4%, P = .014) were significantly higher during the COVID-19 pandemic period. Conclusion: During the COVID-19 pandemic, patients with DFU had more severe infection, higher proportion of osteomyelitis, longer waiting time for getting surgical intervention, and higher incidence of major amputation.

Background The prevalence of diabetes mellitus is increasing in Indonesia due to population growth, urbanization, and lifestyle. Diabetes mellitus (DM) is the leading cause of chronic kidney disease that escalates mortality rate, but not all DM develop into chronic kidney disease. Aims To estimate the prevalence of kidney dysfunction (KD) in DM and the associated dominant risk factors among productive age Indonesian based on the National Health Survey (Riskesdas) 2013. Methods The statistical data consisted of 15,791 females and 10,349 males, aged 20 to 54, who lived in rural and urban areas. The data was obtained from National Institute of Health Research and Development (NIHRD), Ministry of Health. Data were collected from 33 provinces using cross sectional method. The variables data analyzed were sociodemographic, lifestyle, anthropometric, blood pressure, blood lipid, blood glucose, and creatinine. Kidney dysfunction was defined according to Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Multivariable logistic regression was used to analyze the dominant associated risk factors. Results The prevalence of KD in DM was 4% (CI 95% 3.1–5.1) and only 0.6% had been diagnosed. Many associated risk factors could affect DM leading to KD such as age, sex, rural, economic status, sugary food/drinks, salty food, coffee, hypertension, hypercholesterolemia, low HDL, high LDL, and hypertriglyceridemia. The dominant associated risk factors were age, sex, economic status, sugary food/drinks, and low HDL. Conclusion The prevalence of KD in DM among productive age Indonesian was 4% and only 0.6% had been diagnosed. Early detection of identification of KD in DM is needed in order to slow progression and complications. The dominant associated risk factors of KD in DM were age, sex, economic status, sugary food/drinks, and low HDL. Controlling of risk factors in DM should be done in order to prevent diabetic kidney disease.

Introduction. Uncontrolled diabetes mellitus (DM) is related to skin disorders, particularly dry skin. Pathogenesis of dry skin in type 2 diabetes mellitus (T2DM) rises from the chronic hyperglycemia causing an increase in advanced glycation end-products (AGEs), proinflammatory cytokines, and oxidative stress. Combination of oral and topical Centella asiatica (CA) is expected to treat dry skin in T2DM patients more effectively through decreasing N(6)‐carboxymethyl‐lysine (CML) and interleukin‐1α (IL‐1α) and increasing superoxide dismutase (SOD) activity. Methods. A three‐arm prospective, double‐blind, randomized, controlled study was performed to evaluate the efficacy of the oral and topical CA extract in 159 T2DM patients with dry skin. The subjects were divided into the CA oral (CAo) 2 × 1.100 mg + CA topical (CAt) 1% ointment group, oral placebo (Plo) + CAt group, and Plo and topical placebo (Plt) group. Dry skin assessment was performed on day 1, 15, and 29, while evaluation of CML, IL‐1α, and SOD activity was on day 1 and 29. Result. Effectivity of CAo + CAt combination was assessed based on HbA1c and random blood glucose (RBG). In well‐controlled blood glucose, on day 29, the percentage of SRRC decrement was greater in the CAo + CAt group compared to the control group (p = 0.04). SCap value in the CAo + CAt group was greater than that in the control group (p = 0.01). In the partially controlled blood glucose, increment of SOD activity in the CAo + CAt group was greater than that in the control group (p = 0.01). There were medium‐to‐strong correlation between CML with SOD (r = 0.58, p < 0.05) and IL‐1α with SOD (r = 0.70, p < 0.05) in well‐controlled blood glucose. Systemic and topical adverse events were not significantly different between groups. Conclusion. CAo and CAt combination can be used to significantly improve dry skin condition through increasing SOD activity in T2DM patients with controlled blood glucose.

Pratama V, et al. Infect Chemother. 2022 Mar;54(1):125-139. https://doi.org/10.3947/ic.2021.0144

Type-2 diabetes mellitus (T2DM) is strongly associated with various complications, including cognitive impairment. Diabetic complication is related with structural and functional changes of brain. Studies investigated that homocysteine as an independent risk factor of several organ complications. This marker might have a role in pathogenesis of cognitive impairment in T2DM patients. We aimed to know the association between serum homocysteine level and cognitive impairment in middle-aged T2DM populations. The study was a cross-sectional study involving 97 T2DM patients aged <60 years old. Cognitive assessment was based on validated Indonesian version of Montreal Cognitive Assessment (MoCA-INA) test. Besides, serum homocysteine level (Hcy) was measured based on standard laboratory assay. Filling out the questionnaire of MoCA-INA was conducted when patients came to take the blood sample. This study used independent t-test, chi-square and multivariate logistic regression model to analyze the data. There were 47 subjects (48.5%) with mild cognitive impairment (MCI). Delayed recall was the most impaired domain (94.8%). There was no significant mean difference of serum Hcy level in MCI and non-MCI group (11.99±3.27 μmol/L vs 12.36±4.07 μmol/L respectively, p = 0.62). Final model of logistic regression showed no association between serum Hcy and cognitive function after adjusting confounding variables (OR: 1.778; 95%CI: 0.69–4.54). Further investigation involving slight elderly T2DM patients with larger sample size should be conducted to confirm this finding.