Diagnosis Of Diabetes Mellitus Research Articles

Mid-level healthcare workers knowledge on non-communicable diseases in Tanzania: a district-level pre-and post-training assessment

IntroductionOver the past two decades, Tanzania’s burden of non-communicable diseases has grown disproportionately, but limited resources are still prioritized. A trained human resource for health is urgently needed to combat these diseases. However, continuous medical education for NCDs is scarce. This paper reports on the mid-level healthcare workers knowledge on NCDs. We assessed the knowledge to measure the effectiveness of the training conducted during the initiation of a Package for Essential Management of Severe NCDs (PEN Plus) in rural district hospitals in Tanzania.MethodsThe training was given to 48 healthcare employees from Dodoma Region’s Kondoa Town Council District Hospital. For a total of five (5) days, a fundamental course on NCDs featured in-depth interactive lectures and practical workshops. Physicians from Tanzania’s higher education institutions, tertiary university hospitals, research institutes, and medical organizations served as trainers. Before and after the training, a knowledge assessment comprising 28 questions was administered. Descriptive data analysis to describe the characteristics of the specific knowledge on physiology, diagnosis and therapy of diabetes mellitus, rheumatic fever, heart disease, and sickle cell disease was done using Stata version 17 (STATA Corp Inc., TX, USA).ResultsComplete assessment data for 42 out of the 48 participants was available. Six participants did not complete the training and the assessment. The mean age of participants was 36.9 years, and slightly above half (52%) were above 35 years. Two-thirds (61.9%) were female, and about half (45%) were nurses. The majority had the experience of working for more than 5 years, and the average was 9.4 years (+/- 8.4 years). Overall, the trainees’ average scores improved after the training (12.79 vs. 16.05, p < 0.0001) out of 28 possible scores. Specifically, trainees’ average scores were better in treatment than in diagnosis, except for sickle cell disease (1.26 vs. 1.83). Most were not able to diagnose rheumatic heart disease (47.6% able) compared to diabetes mellitus (54.8% able) or sickle cell disease (64.3% able) at baseline. The proportion of trainees with adequate knowledge of the treatment of sickle cell disease and diabetes mellitus was 35% and 38.1%, respectively, and there was a non-statistical difference after training. Those working for less than 5 years had a higher proportion of adequate knowledge (30.8%) compared to their more experienced colleagues (6.9%). After the training, participants’ knowledge of NCDs increased by three times (i.e., aPR 3, 95% CI = 1.1, 1.5, and 6.0).Conclusion and recommendationsPEN Plus training improved the knowledge of healthcare workers at Kondoa Town Council District Hospital. Training is especially needed among nurses and those with a longer duration of work. Continuing education for human resources for health on the management of NCDs is highly recommended in this setting.

Single-Center In-Hospital and Outpatient Opioid Use for Lower Extremity Arterial Disease.

The pain associated with lower extremity arterial disease is difficult to treat, even with lower extremity revascularization. We sought to evaluate in-hospital and post-operative opioid usage in patients with different disease severities and treatments for lower extremity vascular disease. A retrospective review was performed for all hospital encounters for patients with an International Classification of Diseases (ICD) code consistent with lower extremity arterial disease admitted to a single center between January 2018 and March 2023. Cases included patients admitted to the hospital with a primary diagnosis of lower extremity arterial disease. These patients were subdivided based on disease severity, treatment type, and comorbid diagnosis of diabetes mellitus. The analysis focused on in-hospital opioid use frequency and dosage among these patients. The control group (CON) included encounters for patients admitted with a secondary diagnosis of lower extremity atherosclerotic disease. A total of 438 patients represented by all the analyzed encounters were then reviewed for the number and type of vascular procedures performed as well as opioid use in the outpatient setting for one year. Critical limb ischemia (CLI) encounters were more likely to use opioids as compared to the CON and peripheral arterial disease (PAD) without rest pain, ulcer or gangrene groups (CLI 67.9% (95% CI: 63.6%-71.6%) versus CON 52.1% (95% CI: 48.5%-55.7%), p < 0.001 and CLI 67.9% (95% CI: 63.6%-71.6%) versus PAD 50.2% (95% CI: 42.6%-57.4%), p < 0.001). Opioid use was also more common in encounters for gangrene and groups treated with revascularization (REVASC) and amputation (AMP) as compared to CON (gangrene 74.5% (95% CI: 68.5%-82.1%) versus CON 52.1% (95% CI: 48.5%-55.7%), p < 0.01; REVASC 58.3% (95% CI: 57.3%-66.4%) versus CON 52.1% (95% CI: 48.5%-55.7%), p =0.01; and AMP 72.3% (95% CI: 62.1%-74.0%) versus CON 52.1% (95% CI: 48.5%-55.7%), p < 0.01). Significantly increased oral opioid doses per day (MME/day) were not noted for any of the investigated groups as compared to the CON. In the outpatient setting, 186 (42.5% (95% CI: 37.2%-46.4%)) patients were using opioids one month after the most recent vascular intervention. By one year, 31 (7.1% (95% CI: 1.30%-7.70%)) patients were still using opioids. No differences in opioid usage were noted for patients undergoing single versus multiple vascular interventions at one year. Patients undergoing certain vascular surgery procedures were more likely to be using opioids at one year. Patients with CLI and gangrene as well as those undergoing vascular treatment have a greater frequency of opioid use during hospital encounters as compared to those patients with less severe disease and undergoing conservative management, respectively. However, these findings do not equate to higher doses of opioids used during hospitalization. Patients undergoing multiple vascular procedures are not more likely to be using opioids long-term (at one year) as compared to those patients treated with single vascular procedures.

Glycemic control during TB treatment among Filipinos: The Starting Anti-Tuberculosis Treatment Cohort Study.

Poor TB treatment outcomes are observed in patients with type 2 diabetes mellitus (DM) comorbidity and glycemic control throughout treatment may play a role. The objective of this study was to investigate glycemic control longitudinally among Filipino adults undergoing TB treatment using mixed-effects linear and logistic regression. Analyses were conducted in 188 DM-TB patients out of 901 enrolled in the Starting Anti-TB Treatment (St-ATT) cohort, with a median baseline glycosylated hemoglobin (HbA1c) of 8.2% (range 4.5-13.3%). Previous versus new DM diagnosis was associated with higher mean HbA1c (worse glycemic control) during treatment, with a smaller effect amongst those with central obesity (coefficient 0.80, 95% confidence interval [CI] 0.26, 1.57, P = 0.043) than amongst those without central obesity (coefficient 3.48, 95% CI 2.16, 4.80, P<0.001). In those with a new DM diagnosis, central obesity was associated with higher blood glucose (coefficient 1.62, 95% CI 0.72, 2.53, P = 0.009). Of 177 participants with ≥2 HbA1c results, 40% had uncontrolled glycemia (≥2 HbA1c results ≥8%). Of 165 participants with ≥3 HbA1c results, 29.9% had consistently-controlled glycemia, 15.3% had initially-uncontrolled glycemia, and 18.6% had consistently-uncontrolled glycemia. Previous versus new DM diagnosis and glucose-lowering medication use versus no use were associated with having uncontrolled versus controlled glycemia (adjusted odds ratio [aOR] 2.50 95%CI 1.61, 6.05, P = 0.042; aOR 4.78 95% CI 1.61,14.23, P<0.001) and more likely to have consistently-uncontrolled versus consistently-controlled glycemia (adjusted relative risk ratio [aRRR] 5.14 95% CI 1.37, 19.20, P = 0.015; aRRR 10.24 95% CI 0.07, 0.95, P = 0.003). Relapse cases of TB were less likely than new cases to have uncontrolled (aOR 0.20 95%CI 0.06, 0.63, P = 0.031) or consistently-uncontrolled (aRRR 0.25 95%CI 0.07, 0.95, P = 0.042) versus controlled glycemia. Those with long-term DM, suggested by previous diagnosis, glucose-lowering medication use and possibly central obesity, may require additional support to manage blood glucose during TB treatment.

Prevalence of Diabetes Mellitus and Clinical Differences in Patients with Severe Osteoporosis and Fragility Fractures.

Background: Diabetes mellitus (DM) and osteoporosis are two of the most widespread metabolic diseases in the world. The aim of this study is to investigate the prevalence of DM among patients affected by osteoporosis and fragility fractures, and to search for differences in clinical characteristics. Methods: This is a single-center retrospective, case-controlled study. A total of 589 patients attending CTO Bone Unit between 2 January 2010 and 31 May 2023, due to osteoporosis and fragility fractures, were divided into two groups, according to the diagnosis of DM. The clinical and bone characteristics of patients were compared. Results: Prevalence of DM was 12.7%. Compared to patients without DM, the median age at the time of first fracture was similar: 72 years ± 13.5 interquartile range (IQR) vs. 71 years ± 12 IQR; prevalence of combination of vertebral and hip fractures was higher (p = 0.008), as well as prevalence of males (p = 0.016). Bone mineral density (BMD) at all sites was higher in DM group; trabecular bone score (TBS), instead, was significantly lower (p < 0.001). Conclusions: Patients with fragility fractures and DM more frequently show combination of major fractures with higher BMD levels. In these patients, TBS could be a better indicator of bone health than BMD and, therefore, might be used as a diagnostic tool in clinical practice.

Change in Body Mass Index in Youth in the First 5 Years after Type 1 Diabetes Mellitus Diagnosis

ObjectiveExamine body mass index (BMI) trajectories in American youth with type 1 diabetes over the first five years following diagnosis. Research Design/MethodsRetrospective record review of BMI trajectories in youth with type 1 diabetes diagnosed in 2015-2016. ResultsNear the time of diabetes diagnosis, 35.5% of youth had BMIs in the overweight/obesity range. These rates increased over time (p < 0.001), with 52.8% having overweight/obesity 5 years after diagnosis. Average age when BMI rose from healthy to overweight/obese or overweight to obese (rise group) was at 12.7 years, occurring 2.5 years after diagnosis. There were no differences between HbA1c, use of continuous glucose monitors (CGM), or use of insulin pumps between the rise group and those with healthy BMI throughout the study period. ConclusionsAlarmingly high rates of overweight/obesity in youth were observed within 5 years following type 1 diabetes diagnosis. Awareness and further research are necessary to address this independent risk factor for morbidities.

Common carotid artery intima media thickness (CIMT) in patients with prediabetes and newly diagnosed type 2 diabetes mellitus

AimTo evaluate the relationship between common carotid artery intima media thickness (CIMT) in patients with prediabetes and new-onset diabetes mellitus without proven cardiovascular disease and some classic cardio-metabolic risk factors. Patients and methodsThe study included 461 obese patients with an average age of 53.2 ± 10.7 years, divided into three groups - group 1 without carbohydrate disturbances (n = 182), group 2 with prediabetes (n = 193) and group 3 with newly diagnosed diabetes mellitus (n = 86). ResultsThe patients with new-onset diabetes had significantly higher mean CIMT values compared to those with prediabetes or without carbohydrate disturbances and a higher frequency of abnormal IMT values. CIMT correlated significantly with age, systolic BP, diastolic BP and fasting blood glucose and showed a high predictive value for the presence of diabetic neuropathy and sudomotor dysfunction. Patients with abnormal CIMT values had a higher incidence of arterial hypertension, dyslipidemia, metabolic syndrome, peripheral neuropathy, and sudomotor dysfunction. Patients who developed type 2 diabetes during follow-up had a significantly higher initial mean CIMT, which showed the highest predictive value for the risk of new-onset diabetes, with CIMT≥0.7 mm having 53 % sensitivity and 83 % specificity for the risk of progression to diabetes mellitus. ConclusionPatients with new-onset diabetes mellitus had significantly greater intima media thickness of the common carotid artery and a greater frequency of abnormal CIMT values compared to those with normoglycemia and prediabetes. CIMT has a high predictive value for the presence of diabetic neuropathy, sudomotor dysfunction and the risk of new onset diabetes.

Evaluation of patient satisfaction following oral glucose tolerance test

Aim: Diabetes mellitus (DM) is a common metabolic disease. Early diagnosis of diabetes prevents the increase in mortality and morbidity due to complications. The oral glucose tolerance test (OGTT) is a test used in the diagnosis of DM and in the determination of impaired glucose tolerance (IGT). In our study, it was aimed to evaluate the satisfaction of patients who underwent OGTT. Methods: A 25-question questionnaire was applied to 300 patients who underwent OGTT, aiming to evaluate their satisfaction. The physical and psychological status of the patients was examined before, during, and after the test. Results: Patients who were informed about the test before the test experienced less nausea during fluid intake (p=0.005). Approximately 58.7% of the participants agreed to repeat the test. Those who felt nauseous or hungry during the test were statistically less likely to accept retesting. The retest acceptance rates were statistically higher (p&lt;0.05) among individuals who did not feel uncomfortable with the blood draw and inactivity and who did not vomit or feel uneasy during the test. 70% of the participants answered 'yes' to the suggestion of using an alternative diagnostic method. Conclusion: OGTT is the gold standard for the diagnosis of IGT and DM, despite tests such as HbA1c and fasting plasma glucose, which are more easily performed and practical. It would be beneficial to develop another method that is easy to apply, better tolerated by patients, easy to repeat, and can be standardized instead of OGTT.

Rationality of Prescribing Diabetes Mellitus Drugs Using Beers Criteria for Geriatric Patients in Outpatient Installations dr. Iskak Hospital

Diabetes mellitus (DM) is se group of metabolic disorders with symptom hyperglycemia Which happen caused because abnormality secretion insulin and insulin action or both . Diabetes mellitus (DM) is a global problem in which 20% of sufferers are geriatrics. Treatment of DM in geriatrics has the potential to occur irrationally due to the complexity of health problems in geriatrics. Irrational prescribing has a negative impact on health care facilities, patients, and society. One method of assessing rational prescribing is the Beers criteria, developed by the American Geriatrics Society Beers Criteria 2 019. The purpose of this study was to determine the rationality of prescribing DM drugs using the Beers criteria for geriatric patients at the outpatient installation at RSUD dr. Iskak Tulungagung. This research is a descriptive observational study with a cross sectional design. Retrospective data collection on 275 medical record documents of geriatric patients with a diagnosis of DM at the outpatient installation of RSUD dr. Iskak – Tulungagung in the 2021 period. Samples were analyzed using the American Geriatrics Society Beers Criteria 2019 guidelines . The results of the study DM drugs in the Sulfonylurea class were most widely used (13.1%) and 41,3 % identified potentially inappropriate medications (PIMs). The use of potentially inappropriate drugs is 7,32 %, the use of drugs that interact with disease is 3,8%, the drugs that must be used with caution, 6,4%, the drugs that have the potential to interact clinically 0,3%, and the use of drugs that must be avoided or reduced dose related to renal function 0,3%.

Acute Bilateral Pyelonephritis in the Setting of Newly Diagnosed Diabetes Mellitus: A Case Report

Acute Bilateral Pyelonephritis in the Setting of Newly Diagnosed Diabetes Mellitus: A Case Report

Comparison of metformin and repaglinide monotherapy in the management of newly diagnosed diabetes mellitus type 2: a prospective study

Comparison of metformin and repaglinide monotherapy in the management of newly diagnosed diabetes mellitus type 2: a prospective study

An Analysis of the Distribution of Direct Cost of Diabetes Care in Selected Districts in Italy.

This study aims to define the distribution of direct healthcare costs for people with diabetes treated in two healthcare regions in Italy, based on number of comorbidities and treatment regimen. This was a retrospective analysis using data from two local health authority administrative databases (Campania and Umbria) in Italy for the years2014-2018. Data on hospital care, pharmaceutical and specialist outpatient and laboratory assistance were collected. All people with diabetes in 2014-2018 were identified on the basis of at least one prescription of hypoglycemic drugs (ATC A10), hospitalization with primary or secondary diagnosis of diabetes mellitus (ICD9CM 250.xx) or diabetes exemption code (code 013). Subjects were stratified into three groups according to their pharmaceutical prescriptions during the year: Type1/type2 diabetes (T1D/T2D) treated with multiple daily injections with insulin (MDI), type2 diabetes on basal insulin only (T2D-Basal) and type2 diabetes not on insulin therapy (T2D-Oral). We identified 304,779 people with diabetes during the period for which data was obtained. Analysis was undertaken on 288,097 subjects treated with glucose-lowering drugs (13% T1D/T2D-MDI, 13% T2D-Basal, 74% T2D-Oral). Average annual cost per patient for the year2018 across the total cohort was similar for people with T1D/T2D-MDI and people with T2D-Basal (respectively €2580 and €2254) and significantly lower for T2D-Oral (€1145). Cost of hospitalization was the main driver (47% for T1D/T2D-MDI, 45% for T2D-Basal, 45% for T2D-Oral) followed by drugs/devices (35%, 39%, 43%) and outpatient services (18%, 16%, 12%). Average costs increased considerably with increasing comorbidities: from €459 with diabetes only to €7464 for a patient with four comorbidities. Similar trends were found across all subgroups analysis. Annual cost of treatment for people with diabetes is similar for those treated with MDI or with basal insulin only, with hospitalization being the main cost driver. This indicates that both patient groups should benefit from having access to scanning continuous glucose monitoring (CGM) technology which is known to be associated with significantly reduced hospitalization for acute diabetes events, compared to self-monitored blood glucose (SMBG) testing.

Outcomes and Adverse Events in Patients with Cancer after Diagnosis of Immunotherapy-Associated Diabetes Mellitus: A Retrospective Cohort Study.

Immune checkpoint inhibitor (CPI)-induced diabetes mellitus (CPI-DM) is a rare immune-related adverse event (irAE). Patients and providers fear that continuing CPIs puts patients at risk for additional irAEs and thus may discontinue therapy. Currently, there are little data to inform this decision. Therefore, this study aims to elucidate whether discontinuing CPIs after diagnosis of CPI-DM impacts the development of future irAEs and cancer outcomes such as progression and death. Patients who developed CPI-DM during cancer treatment at UCSF from 1 July 2015 to 5 July 2023 were analyzed for cancer outcomes and irAE development. Fisher's exact tests, Student t-tests, Kaplan-Meier methods, and Cox regression were used as appropriate. Of the 43 patients with CPI-DM, 20 (47%) resumed CPIs within 90 days of the irAE, 4 (9%) patients restarted after 90 days, and 19 (44%) patients never restarted. Subsequent irAEs were diagnosed in 9 of 24 (38%) who resumed CPIs and 3 of 19 (16%) who discontinued CPIs (p = 0.17). There was no significant difference in death (p = 0.74) or cancer progression (p = 0.55) between these two groups. While our single-institution study did not show worse cancer outcomes after discontinuing CPIs, many variables can impact outcomes, which our study was not adequately powered to evaluate. A nuanced approach is needed to decide whether to continue CPI treatment after a severe irAE like CPI-DM.

Non-diabetic nephropathy in diabetic patients: incidence, HbA1c variability and other predictive factors, and implications.

Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD) in the population. In patients with diabetes mellitus, the incidence of non-diabetic nephropathy (NDNP) has been estimated to range from 3% to 69.5%. Personal judgment is frequently employed while deciding whether or not to do a kidney biopsy(KB) on diabetic patients. NDNP alters the prognosis and course of treatment for people with DM. In our study, we examined the incidence of NDNP concurrent with the progression of diabetes mellitus, as well as the laboratory and clinical indicators that could be utilized to forecast it. A retrospective analysis of 76 diabetic patients who underwent KB was conducted. Based on the pathological diagnoses of these patients, they were categorized as DNP (diabetic nephropathy) or NDNP. The definition of HbA1c variability was determined by calculating the mean HbA1c and the average value of the HbA1c measurements, as well as the standard deviation (SD) for each participant. NDNP was detected in 50% of 76 patients. Among patients with NDNP, 36.8% had focal segmental glomerulosclerosis (FSGS), 23.6% had membranous glomerulonephritis, and 7.8% had IgA nephritis. The NDNP group exhibited significantly higher rates of female gender, absence of diabetic retinopathy, shorter time to diagnosis of diabetes mellitus, chronic kidney disease, and proteinuria, less intensive medication for diabetes mellitus, presence of hematuria and leukociduria, immunological serological marker positivity, and non-HbA1C variability. Risk factors for predicting non-diabetic nephropathy, as determined by multivariate analysis, included female gender, the absence of diabetic retinopathy, non-HbA1c variability and a positive immunological serological test. In this study, a significant number of diabetic patients with chronic kidney disease were diagnosed with NDNP. Identifying these patients allows for treatment of the specific underlying disease. Factors such as the absence of DR, non-HbA1c variability, female gender, and immunological serological test positivity can predict NDNP and guide the clinician's decision on kidney biopsy. Further prospective studies are warranted to validate the efficacy of potential predictive factors like HbA1c variability.

Diagnostic cut-off value of haemoglobin A1c for diabetes mellitus in Harare, Zimbabwe.

This study highlights the need for population-specific cut-off HbA1c values in the diagnosis of diabetes mellitus.

Identification of diagnostic biomarkers used in the diagnosis of cardiovascular diseases and diabetes mellitus: A systematic review of quantitative studies.

To perform a systematic review of studies that sought to identify diagnostic biomarkers for the diagnosis of cardiovascular diseases (CVDs) and diabetes mellitus (DM), which could be used in low- and middle-income countries (LMICs) where there is a lack of diagnostic equipment, treatments and training. Papers were sourced from six databases: the British Nursing Index, Google Scholar, PubMed, Sage, Science Direct and Scopus. Articles published between January 2002 and January 2023 were systematically reviewed by three reviewers and appropriate search terms and inclusion/exclusion criteria were applied. A total of 18 studies were yielded, as well as 234 diagnostic biomarkers (74 for CVD and 160 for DM). Primary biomarkers for the diagnosis of CVDs included growth differentiation factor 15 and neurogenic locus notch homologue protein 1 (Notch1). For the diagnosis of DM, alpha-2-macroglobulin, C-peptides, isoleucine, glucose, tyrosine, linoleic acid and valine were frequently reported across the included studies. Advanced analytical techniques, such as liquid chromatography mass spectrometry, enzyme-linked immunosorbent assays and vibrational spectroscopy, were also repeatedly reported in the included studies and were utilized in combination with traditional and alternative matrices such as fingernails, hair and saliva. While advanced analytical techniques are expensive, laboratories in LMICs should carry out a cost-benefit analysis of their use. Alternatively, laboratories may want to explore emerging techniques such as infrared, Fourier transform-infrared and near-infrared spectroscopy, which allow sensitive noninvasive analysis.

Prevalence and risk factors of diabetes mellitus among elderly patients in the Lugu community

BACKGROUND Age is a significant risk factor of diabetes mellitus (DM). With the develop of population aging, the incidence of DM remains increasing. Understanding the epidemiology of DM among elderly individuals in a certain area contributes to the DM interventions for the local elderly individuals with high risk of DM. AIM To explore the prevalence of DM among elderly individuals in the Lugu community and analyze the related risk factors to provide a valid scientific basis for the health management of elderly individuals. METHODS A total of 4816 elderly people who came to the community for physical examination were retrospectively analyzed. The prevalence of DM among the elderly was calculated. The individuals were divided into a DM group and a non-DM group according to the diagnosis of DM to compare the differences in diastolic blood pressure (DBP) and systolic blood pressure (SBP), fasting blood glucose, body mass index (BMI), waist-to-hip ratio (WHR) and incidence of hypertension (HT), coronary heart disease (CHD), and chronic kidney disease (CKD). RESULTS DM was diagnosed in 32.70% of the 4816 elderly people. The BMI of the DM group (25.16 ± 3.35) was greater than that of the non-DM group (24.61 ± 3.78). The WHR was 0.90 ± 0.04 in the non-DM group and 0.90 ± 0.03 in the DM group, with no significant difference. The left SBP and SBP in the DM group were 137.9 mmHg ± 11.92 mmHg and 69.95 mmHg ± 7.75 mmHg, respectively, while they were 126.6 mmHg ± 12.44 mmHg and 71.15 mmHg ± 12.55 mmHg, respectively, in the non-DM group. These findings indicate higher SBP and lower DBP in DM patients than in those without DM. In the DM group, 1274 patients were diagnosed with HT, accounting for 80.89%. Among the 3241 non-DM patients, 1743 (53.78%) were hypertensive and 1498 (46.22%) were nonhypertensive. The DM group had more cases of HT than did the non-DM group. There were more patients with CHD or CKD in the DM group than in the non-DM group. There were more patients who drank alcohol more frequently (≥ 3 times) in the DM group than in the non-DM group. CONCLUSION Older adults in the Lugu community are at a greater risk of DM. In elderly individuals, DM is closely related to high BMI and HT, CHD, and CKD. Physical examinations should be actively carried out for elderly people to determine their BMI, SBP, DBP, and other signs, and sufficient attention should be given to abnormalities in the above signs before further diagnosis.

Diagnosis, Therapy and Follow-Up of Diabetes Mellitus in Children and Adolescents.

Diagnosis, Therapy and Follow-Up of Diabetes Mellitus in Children and Adolescents.

Commutable Blood Materials from the Fixed-Cell Method for Performance Evaluation of Blood Glucose by a Glucose Meter.

Glucose meters provide a rapid blood glucose status for evidence-based diagnosis, monitoring, and treatment of diabetes mellitus. We aimed to evaluate the commutability of processed blood materials (PBMs) and their use in the performance evaluation of glucose meters. Two PBMs obtained by the fixed-cell method were analyzed for homogeneity, stability, and commutability. The compatibility of ten pairs between mass spectrometry and each glucose meter was categorized as compatible (mean paired difference ≤ 5%) and incompatible (mean paired difference > 5%). The performance of glucose meter 1 (n = 767) and glucose meter 2 (n = 266) was assessed. The glucose in the PBMs remained homogenized and stable for at least 180 days. Six out of ten pairs had commutable PBMs. Commutability of PBMs was observed in both well-compatible and incompatible glucose results. Target glucose values from mass spectrometry were significantly different (p ≤ 0.05) from consensus values in one group of glucose meters. When commutable PBMs were used, glucose meter 1 showed better performance than glucose meter 2, and the percentage of satisfaction was associated when using target values for glucose from mass spectrometry and consensus values, but the performance of glucose meter 2 was not associated. PBM from a fixed-cell method could be mass produced with acceptable homogeneity and stability. Commutability testing of PBMs is required prior to use in the performance evaluation of glucose meters, as the commutability of glucose in the PBMs obtained by a fixed-cell method was variable and depended on the individual glucose meter.

Advances in fecal microbiota transplantation for the treatment of diabetes mellitus.

Diabetes mellitus (DM) refers to a group of chronic diseases with global prevalence, characterized by persistent hyperglycemia resulting from various etiologies. DM can harm various organ systems and lead to acute or chronic complications, which severely endanger human well-being. Traditional treatment mainly involves controlling blood sugar levels through replacement therapy with drugs and insulin; however, some patients still find a satisfactory curative effect difficult to achieve. Extensive research has demonstrated a close correlation between enteric dysbacteriosis and the pathogenesis of various types of DM, paving the way for novel therapeutic approaches targeting the gut microbiota to manage DM. Fecal microbiota transplantation (FMT), a method for re-establishing the intestinal microbiome balance, offers new possibilities for treating diabetes. This article provides a comprehensive review of the correlation between DM and the gut microbiota, as well as the current advancements in FMT treatment for DM, using FMT as an illustrative example. This study aims to offer novel perspectives and establish a theoretical foundation for the clinical diagnosis and management of DM.

Augmenting authenticity for non-invasive in vivo detection of random blood glucose with photoacoustic spectroscopy using Kernel-based ridge regression

Photoacoustic Spectroscopy (PAS) is a potential method for the noninvasive detection of blood glucose. However random blood glucose testing can help to diagnose diabetes at an early stage and is crucial for managing and preventing complications with diabetes. In order to improve the diagnosis, control, and treatment of Diabetes Mellitus, an appropriate approach of noninvasive random blood glucose is required for glucose monitoring. A polynomial kernel-based ridge regression is proposed in this paper to detect random blood glucose accurately using PAS. Additionally, we explored the impact of the biological parameter BMI on the regulation of blood glucose, as it serves as the primary source of energy for the body’s cells. The kernel function plays a pivotal role in kernel ridge regression as it enables the algorithm to capture intricate non-linear associations between input and output variables. Using a Pulsed Laser source with a wavelength of 905 nm, a noninvasive portable device has been developed to collect the Photoacoustic (PA) signal from a finger. A collection of 105 individual random blood glucose samples was obtained and their accuracy was assessed using three metrics: Root Mean Square Error (RMSE), Mean Absolute Difference (MAD), and Mean Absolute Relative Difference (MARD). The respective values for these metrics were found to be 10.94 (mg/dl), 10.15 (mg/dl), and 8.86%. The performance of the readings was evaluated through Clarke Error Grid Analysis and Bland Altman Plot, demonstrating that the obtained readings outperformed the previously reported state-of-the-art approaches. To conclude the proposed IoT-based PAS random blood glucose monitoring system using kernel-based ridge regression is reported for the first time with more accuracy.