Correlation of HbA1c and S. creatinine along with microbiological profiling of infected ulcers; cases of diabetic patients

Determination of cumulative glucose levels HbA1C and some biochemical variables in the serum of Diabetic nephropathy patients

The study included measuring the concentrations of each of the cumulative sugar HbA1C Glycosylated hemoglobin, urea, creatinine, uric acid, glucose, glucose uric acid, albumin, total protein and calcium, in addition to identifying the concentrations of some electrolytes (sodium, potassium, chloride, calcium) in (35) blood samples from patients with diabetic nephropathy (14 males, 12 females) aged (16-62) years who came to some laboratories in the city of Mosul and compared them to control samples (26) samples. The results showed a significant increase in cumulative sugar, uric acid, glucose and potassium concentrations in the serum of patients of both sexes. An insignificant increase in urea and creatinine concentrations and a significant decrease in albumin, sodium and chloride concentrations, while calcium and total protein did not show a significant difference compared to control samples. When comparing cases of infection between males and females, the results showed a significant increase in the cumulative sugar level for males and an insignificant increase in glucose concentration. In contrast, creatinine, uric acid, total protein and albumin did not significantly differ for males compared to infected females. Keywords cumulative glucose, biochemical variables, Diabetic

Predicting the Risk of Diabetic Foot Ulcers From Diabetics With Dysmetabolism: A Retrospective Clinical Trial

BACKGROUND

Diabetic foot ulcer (DFU) in patients with type 2 diabetes mellitus (T2D) often leads to amputation. Early intervention to prevent DFU is urgently necessary. So far, there have been no studies on predictive models associated with DFU risk factors. Our study aimed to quantify the predictive risk value of DFU, promote health education, and further develop behavioral interventions to reduce the incidence of DFU.

METHODS

Data from 973 consecutive patients with T2D was collected from two hospitals. Patients from the Guangxi Medical University First Affiliated Hospital formed the training cohort (n = 853), and those from the Wuming Hospital of Guangxi Medical University formed the validation cohort (n = 120). Independent variable grouping analysis and multivariate logistic regression analysis were used to determine the risk factors of DFUs. The prediction model was established according to the related risk factors. In addition, the accuracy of the model was evaluated by specificity, sensitivity, predictive value, and predictive likelihood ratio.

RESULTS

In total, 369 of the 853 patients (43.3%) and 60 of the 120 (50.0%) were diagnosed with DFUs in the two hospitals. The factors associated with DFU were old age, male gender, lower body mass index (BMI), longer duration of diabetes, history of foot disease, cardiac insufficiency, no use of oral hypoglycemic agent (OHA), high white blood cell count, high platelet count, low hemoglobin level, low lymphocyte absolute value, and high postprandial blood glucose. After incorporating these 12 factors, the nomogram drawn achieved good concordance indexes of 0.89 [95% confidence interval (CI): 0.87 to 0.91] in the training cohort and 0.84 (95% CI: 0.77 to 0.91) in the validation cohort in predicting DFUs and had well-fitted calibration curves. Patients who had a nomogram score of ≥180 were considered to have a low risk of DFU, whereas those having ≥180 were at high risk.

CONCLUSIONS

A nomogram was constructed by combining 12 identified risk factors of DFU. These 12 risk factors are easily available in hospitalized patients, so the prediction of DFU in hospitalized patients with T2D has potential clinical significance. The model provides a reliable prediction of the risk of DFU in patients with T2D.

Profile of Diabetic Foot Ulcer Patients at Tertiary Care Hospital in Surabaya, Indonesia

Background: Diabetic Foot Ulcer (DFU) has been associated with a high mortality rate of Diabetes Mellitus (DM) patients. Both behavioral and biological factors cause predisposition to DFU. Purpose: This research describes the profile of hospitalized DFU patients at a tertiary care hospital in Surabaya. Methods: A retrospective descriptive study that analyzed medical records of hospitalized T2DM patients with DFU in Dr. Soetomo General Hospital. Sampled respondents were patients ≥ 21 years old who were hospitalized between 2016–2018. Demographic data, clinical characteristics, medical histories, length of hospital stay, laboratory results, precipitating factors, microorganism culture results, treatment, and outcome were analyzed. Descriptive analysis is presented in the form of narratives, tables, and diagrams. Results: 9.08% of hospitalized Type 2 DM (T2DM) cases were related to foot ulcers. The average patient age was 57.00 ± 9.83 years with no gender predominance. DM was poorly controlled (Mean HbA1C 9.78±2.83%; RBG 251.83 ± 158.15 mg/dL). The majority of patients had sepsis (68.26%) and renal function impairment (62.72%). Ulcers with Wagner grades of 4–5 were frequent (41.31%). The highest percentage of sepsis (80.49%) and the average leukocyte level (22.60±11.95 x109/L) were found in gangrenous feet. Anemia was more predominant and severe in ulcers with higher Wagner grades. Trauma and Escherichia coli were the most common precipitating factors and microorganisms isolated, respectively. Amputation was performed for 82.36% of patients who were admitted to hospital with gangrene. The Lower Extremity Amputation (LEA) and mortality rates were 14.11% and 40.93%, respectively. Conclusion: DFUs were found to have a relatively high prevalence among T2DM patients, and must never be neglected due to the high associated mortality rate.

Perbedaan Hemoglobin Terglikosilasi (Hba1c) terhadap Profil Lipid Pasien Rumah Sakit Islam Surabaya

ABSTRAK Latar Belakang : Diabetes melitus merupakan penyakit metabolik dengan karakteristik hiperglikemia sebagai akibat kelainan sekresi insulin maupun kerja insulin. Diabetes sebagai salah satu penyebab dislipidemia sekunder, sehingga pengelolaan glukosa darah merupakan pencegahan primer timbulnya komplikasi penyakit kardiovaskular. Hasil Riskesdas tahun 2018, prevalensi diabetes melitus yang didiagnosis dokter pada penduduk di semua umur sebesar 3,4% di Kota Surabaya.Tujuan : Penelitian ini untuk mengetahui perbedaan profil lipid pada level HbA1C normal, prediabetes dan diabetes melitus.Metode : Penelitian cross sectional, teknik pengambilan sampel dengan simple random sampling dari data rekam medis pasien rawat jalan di Rumah Sakit Islam Surabaya  dari 1 Januari tahun 2018 sampai dengan 31 Desember 2019 berusia 35-80 tahun dan mendapat pemeriksaan HbA1c, kolesterol, trigliserida dan LDL-kolesterol pada waktu yang sama dan terdokumentasi lengkap pertama sekali sehingga diperoleh besar sampel 73 data pasien. Uji Anova one way digunakan untuk mengetahui perbedaan rata-rata kolesterol, trigliserida dan LDL-kolesterol berdasarkan HbA1C.Hasil : Hasil penelitian menunjukkantidakada perbedaan yang signifikan rata-rata kolesterol, dan LDL-kolesterol dengan tingkatan HbA1C (p>0,05), ada perbedaan yang signifikan rata-rata trigliserid dengan HbA1C normal, prediabetes, dan diabetes (p=0,01). Hasil multiple comparison dengan metode Tukey HSD menunjukkan perbedaan signifikan rata-rata trigliserid  pada HbA1C normal dengan diabetes (p=0,039) dan prediabetes dengan diabetes (p=0,044).Kesimpulan :Perbedaan rata-rata trigliserida signifikanpada HbA1Ckategorinormal dan prediabetes dengan diabetes, pentingnya mengendalikanglukosa darah untuk mencegahkomplikasi kardiovaskuler pada penderita diabetes melitus yang dapat dilakukan melalui pemantauan mandiri glukosa darah, pola hidup sehat, aktivitas fisik secara teratur, terapi nutrisi medis sesuai kebutuhan, menurunkan berat badan bagi yang mengalami obesitas, tidak merokokdan intervensi obat anti hiperglikemia jika dibutuhkan.Kata Kunci : diabetes, HbA1C, kolesterol, trigliserid, LDL-kolesterol. ABSTRACT  Background :Diabetes melitus is a metabolic disease characterized by hyperglicemia as a result of abnormal insulin secretion and insulin action. Diabetes is a cause of secondary dislipidemia, so that diabetes melitus monitoring is a primary deterrent to cardiovascular complication. Riskesdas 2018 said that the prevalence of doctors' diagnosed diabetes in the population at all age 3.4% in Surabaya.Objective : This study is to find out the difference in lipid profiles on normal HbA1Clevels, pre-diabetes and diabetes mellitusMethod: Cross-sectional study, the sampling technique used was simple random sampling fromoutpatient medical recordsthe Surabaya Islamic hospital's from 1st of January 2018 to 31st December 2019 aged 35-80 years and checked for HbA1C, cholesterol, triglyceride and LDL-cholesterol at the same and firsttime documented. Sample sizes of 73 data analized with One Way Anova test was used to identify differences in mean cholesterol, triglyceride and LDL-cholesterol based Hba1C.Results :The results showed that there was no significant difference mean cholesterol and mean LDL-cholesterol with HbA1C levels (p> 0.05), there were significant differences mean the triglyceride with normal HbA1C levels, pre-diabetes, and diabetes (p= 0.01). Multiple comparason results using Tukey HSD methods showed that there was significant differences mean the triglycerid on normal HbA1C levels with diabetes (p= 0.039) and the mean triglyceride ebetween hba1c prediabetesand diabetes (p= 0.044).Conclusions: The mean difference trigliseride signifnificant in normal HbA1C levels and pre-diabetes with diabetes.The importantce of controlling blood glucose to prevent cardiovasculer complication in people with diebetes mellitus can be done through education on independent monitoring of blood glucose, healthy lifestyle, reguler physical activity, medical nutrition therapy according to the needs, lost weight for those who are obese, do not smoke and  anti-hyperglicemia drug intervention if needed.