"A disease that god has given me" patients and caregivers' perspectives on diabetes in southeastern Tanzania.

BACKGROUND: Prompt diagnosis and appropriate management of diabetes has the potential of improving survival and patient health outcomes. Yet many diabetes patients present themselves to health facilities at an advanced stage of the disease which complicates its management. Individual perceptions about diseases are known to play a critical role in informing responses and actions including seeking health care and self-care practices. However, little is documented in Tanzania regarding the perspectives of diabetes patients and their caregivers about the disease especially in rural settings. METHODS: We conducted 26 in-depth interviews involving 19 diabetes patients and 7 diabetes patient caregivers to explore in detail their perspectives on diabetes as a disease. Data was analyzed using thematic analysis with the help of NVivo9. RESULTS: Both patients and caregivers expressed mixed perceptions on diabetes causes. In addition to heredity, and the failure of the pancreas to function well, lifestyle factors including lack of physical activity and eating too many sugary and oily foods were common reported causes. However, none of the participants were clear on the mechanisms between the perceived causes and the actual occurrence of the disease. Perception on susceptibility to diabetes was low even among participants with the disease as they reported not having ever thought of getting the condition before they were diagnosed. Some caregivers expressed worry and fear on their susceptibility to inheriting diabetes from their relatives who had the condition. Diabetes was perceived as a severe and life-threatening condition that can easily cause death if not well managed. Participants indicated uncertainty on its prevention. CONCLUSION: This study shows mixed perspectives on the causes, susceptibility, severity and prevention of diabetes which were informed by the participants' limited knowledge and awareness about the disease. Interventions to strengthen responses to diabetes, which include buy-in from the patients and their caregiver's perspectives are essential to improve prevention, early diagnosis and appropriate management in rural settings.

Association Of Biochemical Markers With COVID-19 Severity In Pakistan.

Objective: To evaluate demographics, biochemical markers and clinical features of patients suffering from coronavirus disease-2019. METHODS: The cross-sectional study was conducted retrospectively at the Capital Hospital, Islamabad, and the Fauji Foundation Hospital, Rawalpindi, Pakistan, from October 08, 2021 to March 01, 2022 and comprised patients of either gender with coronavirus disease-2019 diagnosed on the basis of reverse transcriptase polymerase chain reaction. Patients' demographic, clinical and laboratory findings were obtained using patient charge sheets. Coronavirus disease-2019 was categorised as non-severe, severe and critical, according to the World Health Organisation criteria. Data was analysed using SPSS 26. RESULTS: Of the 431 patients, 91(21.1%) were men and 340(78.9%) were women. The overall mean age was 60.75±14.45 years. Of the total, 148(34.3%) had non-severe, 190(44.1%) severe and 93(21.6%) had critical condition at the time of admission. Hypertension 307(71.2%) and diabetes mellitus 249(57.8%) were the most common comorbidities, while fever 353(81.9%), shortness of breath 339(78.7%) and cough 302(70.1%) were the most common symptoms reported. Higher age was significantly associated with coronavirus disease-2019 severity (p<0.001). Among comorbidities, chronic kidney disease (p<0.001) and cancer (p=0.046), and, among signs and symptoms, shortness of breath (p=0.002) and chest pain (p=0.021), were significantly associated with coronavirus disease-2019 severity. Serum total bilirubin, alanine aminotransferase, urea and creatinine levels had significant association with disease severity (p<0.001). Total leukocyte count, neutrophil-to-lymphocyte ratio, prothrombin time, and plasma D-Dimer levels had significant association with disease severity (p<0.001). Serum ferritin, lactate dehydrogenase and interleukin-6 levels were also significantly associated with disease severity (p<0.05). Conclusion: Assessment of biochemical markers was an excellent way to monitor disease progression in coronavirus disease-2019 patients.

The association between glucose metabolism status, diabetes severity and a history of fractures and recent falls in participants of 50 years and older-the Maastricht Study.

In this cohort of relatively young and well-treated participants with type 2 diabetes, we found no association between diabetes status and a history of previous fractures and recent falls. Furthermore, no association between diabetes severity and previous fractures or recent falls was found. INTRODUCTION: In this study, we examined the association between glucose metabolism status and historical fractures or recent falls and the effect of diabetes severity (glucose control, insulin use, and diabetes duration) on falls and fractures in the participants with type 2 diabetes. METHODS: Cross-sectional data from 2005 participants of the Maastricht Study. Falls in the past 6 months and fractures ≥age 50 were assessed by questionnaire. Glucose metabolism status (normal glucose metabolism, impaired glucose metabolism, or type 2 diabetes) was based on the oral glucose tolerance test and medication use. RESULTS: In the completely adjusted model, the odds for a fall were not significantly higher in those with impaired glucose metabolism status (OR (95%CI) 1.28 (0.93-1.77)) or with type 2 diabetes (OR (95%CI) 1.21 (0.80-1.81)) compared with the group with normal glucose metabolism. Within the group with type 2 diabetes, there were no significant differences with regard to reported falls between participants with HbA1c >7 % (53 mmol/mol) versus HbA1c ≤7 % (OR (95%CI) 1.05 (0.58-1.90)), insulin users versus non-insulin users (OR (95%CI) 1.51 (0.79-2.89)), and with a diabetes duration >5 versus ≤5 years (OR (95%CI) 0.52 (0.46-1.47)). Similarly, neither glucose metabolism status nor diabetes severity was associated with prior fractures. CONCLUSIONS: Glucose metabolism status was not significantly associated with previous fractures and recent falls. In addition, in this cohort of relatively young and well-treated participants with type 2 diabetes, diabetes severity was not associated with previous fractures and recent falls.

Type-2 diabetes mellitus remission prediction models after Roux-En-Y gastric bypass and sleeve gastrectomy based on disease severity scores.

AIM: Metabolic and bariatric surgery (MBS) is considered one of the most effective interventions for weight loss and associated type-2 diabetes mellitus (T2DM) remission. Multiple scores including the Individualized Metabolic Surgery (IMS), DiaRem, advanced DiaRem, and Robert et al. scores, have been developed predict T2DM remission after MBS. We aim to validate each of these scores in our cohort of patients undergoing MBS with long-term follow-up and assess their efficacy based on procedure type and preoperative BMI. METHODS: We conducted a multicenter cohort study including patients with T2DM undergoing either Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Areas under the receiver operating characteristics (ROC) curve (AUC) were calculated to assess the discriminatory ability of the four models to detect T2DM remission. RESULTS: A total of 503 patients (67 % females, mean age 53.5 [11] years, BMI 46.2 [8.8] kg/m2) with T2DM were included. The majority (78 %) underwent RYGB, while the rest (28 %) had SG. All four scores predicted T2DM remission in our cohort with an ROC AUC of 0.79 for IMS, 0.78 for both DiaRem and advanced-DiaRem, and 0.75 for Robert et al. score. Specific subgroups for each of these scores demonstrated higher T2DM remission rates after RYGB compared to SG. CONCLUSION: We demonstrate the ability of the IMS, DiaRem, advanced-DiaRem and Robert et al. scores to predict T2DM remission in patients undergoing MBS. T2DM remission rates was demonstrated to decrease with more severe IMS, DiaRem and advanced-DiaRem scores and lower Robert et al. scores.

Diabetes severity and the risk of depression: A nationwide population-based study.

BACKGROUND: In consideration of the substantial occurrence rates of diabetes mellitus (DM) and depression, it is imperative to identify patients with DM who are at an elevated risk of developing depression. Accordingly, this study aimed to examine whether the risk of depression escalated proportionally with the severity of diabetes. METHODS: 2,067,017 adults diagnosed with type 2 DM, with the exception of those diagnosed with depression either before or within one year of the index date, were identified from a nationwide population-based cohort in Korea. Severity scores for DM were established based on various factors, including insulin use, DM duration of at least 5 years, use of three or more oral hypoglycemic agents, the presence of chronic kidney disease (CKD), cardiovascular diseases (CVD), or diabetic retinopathy. Each of these attributes was assigned a score of one point for diabetes severity, and their cumulative sum was defined as a diabetes severity score, ranging from 0 to 6. RESULTS: During a median follow-up of 6.2 years, 407,047 cases of major depression were identified. Each component contributing to the DM severity score was significantly associated with an increased risk of depression (all P-values <0.001), with insulin use and the presence of CVD demonstrating the most significant correlation with depression risk. As the DM severity score increased, the risk of depression was observed to significantly escalate (P for trend <0.001). After adjusting for potential confounding variables, the hazard ratios (95% confidence intervals) of depression were 1.15 (1.14-1.16) in 1 point, 1.28 (1.27-1.29) in 2 points, 1.45 (1.43-1.47) in 3 points, 1.70 (1.67-1.73) in 4 points, 1.91 (1.84-1.98) in 5 points, and 2.01 (1.79-2.26) in 6 points, respectively. CONCLUSION: The results of this study indicate that diabetes severity is positively associated with an elevated risk of developing major depression. Based on these findings, it is feasible to consider targeting depression screening efforts towards individuals with higher diabetes severity scores.

Diabetes severity, metabolic syndrome, and the risk of erectile dysfunction.

INTRODUCTION: Erectile dysfunction (ED) is more common in men with type 2 diabetes mellitus (T2DM), obesity, and/or the metabolic syndrome (MetS). AIM: The aim of this study is to investigate the associations among proxy measures of diabetic severity and the presence of MetS with ED in a nationally representative U.S. data sample. METHODS: We performed a cross-sectional analysis of adult participants in the 2001-2004 National Health and Nutrition Examination Survey. MAIN OUTCOME MEASURES: ED was ascertained by self-report. T2DM severity was defined by calculated measures of glycemic control and insulin resistance (IR). IR was estimated using fasting plasma insulin (FPI) levels and the homeostasis model assessment of IR (HOMA-IR) definition. We classified glycemic control using hemoglobin-A1c (HbA1c) and fasting plasma glucose (FPG) levels. MetS was defined by the American Heart Association and National Heart, Lung, and Blood Institute criteria. Logistic regression models, adjusted for sociodemographics, risk factors, and comorbidities, were fitted for each measure of T2DM severity, MetS, and the presence of ED. RESULTS: Proxy measures of glycemic control and IR were associated with ED. Participants with FPG between 100-126 mg/dL (5.6-7 mmol/L) and ≥ 126 mg/dL (>7 mmol/L) had higher odds of ED, odds ratio (OR) 1.22 (confidence interval or CI, 0.83-1.80), and OR 2.68 (CI, 1.48-4.86), respectively. Participants with HbA1c 5.7-6.4% (38.8-46.4 mmol/mol) and ≥ 6.5% (47.5 mmol/mol) had higher odds of ED (OR 1.73 [CI, 1.08-2.76] and 3.70 [CI, 2.19-6.27], respectively). When FPI and HOMA-IR were evaluated by tertiles, there was a graded relation among participants in the top tertile. In multivariable models, a strong association remained between HbA1c and ED (OR 3.19 [CI,1.13-9.01]). MetS was associated with >2.5-fold increased odds of self reported ED (OR 2.55 [CI, 1.85-3.52]). CONCLUSIONS: Poor glycemic control, impaired insulin sensitivity, and the MetS are associated with a heightened risk of ED.

Impact of diabetes duration on left ventricular mass regression with empagliflozin.

AIMS: The duration of type 2 diabetes mellitus (T2DM) is an important determinant of diabetes severity. The EMPA-HEART CardioLink-6 trial reported significant left ventricular (LV) mass indexed to body surface area (LVMi) regression in patients treated with the sodium-glucose cotransporter 2 inhibitor (SGLT2i) empagliflozin for 6 months. This exploratory sub-analysis of the same trial investigated the association between T2DM duration and LVMi regression. METHODS AND RESULTS: A total of 97 individuals with T2DM and coronary artery disease (CAD) were randomly assigned to receive empagliflozin 10 mg daily or placebo. LVMi was measured at the baseline and 6 month visit using cardiac magnetic resonance imaging. The study population was divided into those with a baseline T2DM duration <10 years (n = 40) or ≥10 years (n = 57). A linear model adjusting for baseline values in each of the subgroups (ANCOVA) was used to assess the treatment effect of 6 month change in LVMi, LV end systolic volume indexed to body surface area, LV end diastolic volume indexed to body surface area and LV ejection fraction. Patients in the T2DM duration <10 years group (38 males [95.0%], median age 63 [IQR: 55 years to 70 years]) had a median T2DM duration of 4 years (IQR: 2.0 years to 7.0 years). Those in the T2DM duration ≥10 years group (52 males [91.2%], median age 65 [IQR: 57 years to 71 years]) had a median duration of 15 years (IQR: 12 years to 20 years). There was no significant difference in baseline LVMi according to T2DM duration (median 62 g/m2 [IQR: 53.1 g/m2 to 70.0 g/m2 ] for T2DM duration <10 years; median 57.5 g/m2 [IQR: 52.1 g/m2 to 66.2 g/m2 ] for T2DM duration ≥10 years; P = 0.11). Empagliflozin was associated with reductions in LVMi irrespective of duration of T2DM above and below 10 years (T2DM duration <10 years group, mean adjusted difference -2.90 g/m2 [95% CI: -6.64 g/m2 to 0.84 g/m2 ]; T2DM duration ≥10 years group, mean adjusted difference -3.69 g/m2 [95% CI: -0.14 g/m2 to -7.24 g/m2 ]; Pinteraction  = 0.07). CONCLUSIONS: In the EMPA-HEART CardioLink-6 trial, empagliflozin treatment was associated with reductions in LVMi in people with T2DM and CAD irrespective of the duration of diabetes assessed categorically above and below 10 years.

Risk factors associated with mortality in individuals with type 2 diabetes following an episode of severe hypoglycaemia. Results from a randomised controlled trial.

BACKGROUND: Severe hypoglycaemia may pose significant risk to individuals with type 2 diabetes (T2D), and evidence surrounding strategies to mitigate this risk is lacking. METHODS: Data was re-analysed from a previous randomised controlled trial studying the impact of nurse-led intervention on mortality following severe hypoglycaemia in the community. A Cox-regression model was used to identify baseline characteristics associated with mortality and to adjust for differences between groups. Kaplan-Meier curves were created to demonstrate differences in outcome between groups across different variables. RESULTS: A total of 124 participants (mean age = 75, 56.5% male) were analysed. In univariate analysis, Diabetes Severity Score (DSS), age and insulin use were baseline factors found to correlate to mortality, while HbA1C and established cardiovascular disease showed no significant correlations. Hazard ratio favoured the intervention (0.68, 95% CI: 0.38-1.19) and in multivariate analysis, only DSS demonstrated a relationship with mortality. Comparison of Kaplan-Meier curves across study groups suggested the intervention is beneficial irrespective of HbA1c, diabetes severity score or age. CONCLUSION: While DSS predicts mortality following severe community hypoglycaemia in individuals with T2D, a structured nurse-led intervention appears to reduce the risk of death across a range of baseline parameters.

Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design.

INTRODUCTION: The increasing prevalence of type 2 diabetes mellitus (T2DM) presents a significant burden on affected individuals and healthcare systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic health records (EHRs). We aim to quantify T2DM severity and validate it using clinical adverse outcomes. METHODS AND ANALYSIS: Primary care data from the Clinical Practice Research Datalink, linked hospitalisation and mortality records between April 2007 and March 2017 for patients with T2DM in England will be used to develop a clinical algorithm to grade T2DM severity. The EHR-based algorithm will incorporate main risk factors (severity domains) for adverse outcomes to stratify T2DM cohorts by baseline and longitudinal severity scores. Provisionally, T2DM severity domains, identified through a systematic review and expert opinion, are: diabetes duration, glycated haemoglobin, microvascular complications, comorbidities and coprescribed treatments. Severity scores will be developed by two approaches: (1) calculating a count score of severity domains; (2) through hierarchical stratification of complications. Regression models estimates will be used to calculate domains weights. Survival analyses for the association between weighted severity scores and future outcomes-cardiovascular events, hospitalisation (diabetes-related, cardiovascular) and mortality (diabetes-related, cardiovascular, all-cause mortality)-will be performed as statistical validation. The proposed EHR-based approach will quantify the T2DM severity for primary care performance management and inform the methodology for measuring severity of other primary care-managed chronic conditions. We anticipate that the developed algorithm will be a practical tool for practitioners, aid clinical management decision-making, inform stratified medicine, support future clinical trials and contribute to more effective service planning and policy-making. ETHICS AND DISSEMINATION: The study protocol was approved by the Independent Scientific Advisory Committee. Some data were presented at the National Institute for Health Research School for Primary Care Research Showcase, September 2017, Oxford, UK and the Diabetes UK Professional Conference March 2018, London, UK. The study findings will be disseminated in relevant academic conferences and peer-reviewed journals.

Stratification strategy for evaluating the influence of diabetes complication severity index on the risk of hospitalization: a record linkage data in Western Australia.

OBJECTIVE: This study aimed to develop a risk stratification strategy for evaluating the relationship between complications of diabetes and the risk of diabetic-related hospitalization to accurately classify diabetes severity. METHODS: The study used administrative health records for 40,624 individuals with diabetes aged ≥18years in Western Australian. The adapted Diabetes Complication Severity Index (DCSI), socio-demographic and clinical characteristics were used in random effects negative binomial and threshold effect models to determine the optimal stratification strategy for diabetes severity based on the homogeneity of the risk of hospitalization in response to variation of the DCSI. RESULTS: The optimal stratification of people with diabetes was specified by four sub-populations. The first sub-population was no complications with an inverse association with the risk of hospitalizations (coefficient-0.247, SE 0.03). Further three sub-populations with DCSI at one (coefficient 0.289, SE 0.01), two (coefficient 0.339, SE 0.01) and three or more (coefficient 0.381, SE 0.01) were used to accurately describe the impact of DCSI on the risk of hospitalization. CONCLUSION: A stratification into four subpopulations based on the homogeneous impact of diabetes DCSI on the risk of hospitalization may be more suitable for evaluating health care interventions and planning health care provision.