Higher Prevalence Of Diabetes Research Articles

Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).

Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults. This sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach. Overall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes. The current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.

Osteocalcin: A Potential Marker of Peripheral Arterial Stiffness in Hypertensive Patients.

Background and Objectives: Brachial-ankle pulse wave velocity (baPWV) is an established independent risk factor for cardiovascular events, cardiovascular mortality, and all-cause mortality. Osteocalcin (OC) is recognized to be associated with vascular function. The present study assessed the correlation between serum OC levels and peripheral arterial stiffness (PAS) measured through baPWV in hypertensive patients. Materials and Methods: Fasting blood samples were collected from 120 hypertensive participants. The serum total OC levels were measured using a commercial enzyme-linked immunosorbent assay kit, whereas the baPWV device was used to detect PAS. The PAS group had left or right baPWV > 18.0 m/s. Results: Among the hypertensive patients, 24 (20.0%) were classified into the PAS group. The PAS group exhibited a significantly older age (p = 0.011), higher prevalence of diabetes (p = 0.010), systolic blood pressure (p = 0.019), levels of serum fasting glucose (p = 0.003), blood urea nitrogen (p = 0.024), creatinine (p = 0.004), C-reactive protein (p = 0.007), OC (p = 0.002), and lower estimated glomerular filtration rate (p = 0.004) than the non-PAS group. Age (odds ratio [OR]: 1.076, 95% CI: 1.004-1.153, p = 0.037) and serum OC level (OR: 1.797, 95% confidence interval (CI): 1.077-3.000, p = 0.025) were independent factors linked to PAS in hypertensive patients in the multivariate logistic regression analysis. Conclusions: Serum OC levels and older age are positively associated with PAS in hypertensive patients.

Evaluating the Factors Associated With Increased Risk of Self-Reported Ischemic Heart Disease in Patients With Arthritis

Introduction. Arthritis has increased systematic repercussions either by extra-articular manifestations or due to limited activities. Methods. In this study, we used the 2020 and 2021 Behavioral Risk Factor Surveillance System (BRFSS), a large, nationally representative, cross-sectional telephone survey. The data was divided into the participants having arthritis and no arthritis. Results represented as an odds ratio (OR) with a 95% confidence interval (CI). We used a multivariate-adjusted logistic regression model to analyze the results. Fisher’s t-test was used to compare between 2 groups. P-value < 0.05 was considered significant. Results. BRFSS survey results led to 835,452 participants included in the final analysis. Of the included participant, 267020 has arthritis, and 568432 do not. In the arthritis group, 38.7% were males, and 61.3% were females. We found that patients with arthritis have a higher prevalence of diabetes and stroke. Adjusted logistic regression analysis showed that patients with arthritis have higher odds of reporting ischemic heart disease (IHD) (OR = 1.05, 95% CI 1.05-1.05, p-value < 0.001). Also, poor health status (mental, general, and physical) patients are more likely to report IHD. Conclusion. Patients with arthritis are more likely to report IHD, which further increases in patients with poor health status.

HFPEF AND GLYCEMIC VARIABILITY: GHIDD TRIAL

Abstract Background Recently the guidelines of European Association of Preventive Cardiology reported that the prevalence of diabetes mellitus in patients with diastolic heart failure (HFpEF) is around 31%. Purpose In our study we evaluated the non diabetic patients with HFpEF with Glunovo® to evaluate the glycaemic variability in this population. Methods 100 patients with HFpEF admitted to cardiology units of 4 Italian centres on the major islands were enrolled consecutively. Glunovo® was applied to each enrolled patient for 7 days, At the end of the glycaemic monitoring were calculated for each patient the glycaemic variability and the incidence of hyperglycaemia and hypoglycaemia. Glycaemic variability refers to a blood glucose value of ≥ 200 mg / dL or ≤ 59 mg / dL detected more than 3 times in a day for at least 4 days. Overall, 43 males and 57 females were enrolled with a mean age of 69.3 years (39–87 years). All patients underwent a timely glucose measurement at admission which excluded the presence of hyperglycaemia. No potentially hyperglycaemic drugs were added to the treatment during the hospital stay. Results In 94 of the 100 patients enrolled it was possible to conclude the analysis, detecting the glycaemic variability, the point glycaemia values and the estimated glycated haemoglobin value. A glycaemia ≥200 mg/dL was found in 53 patients (56%) while a high glycaemic variability was found in 51 patients (54%). A blood glucose value <59 mg / dl was found in 48 patients (51%). Only 5 times the estimated glycated Hb values were> 7%. 32 of the patients who had at least 3 punctual glucose values ≥200 mg/dL were prescribed an oral glucose load curve, which in 100% of cases confirmed the diagnosis of diabetes.No statistically significant differences were found based on age group or sex. In the control group, consisting of 10 patients without DHF undergoing continuous glucose monitoring at one of the participating cardiology units, an unknown hyperglycaemia was found in only 1 patient (10%) and a glycaemic variability in only 1 patient (10%). Conclusions Our experience suggests an incidence of hyperglycaemia and glycaemic variability more then 65% in patients affected by HFpEF. If our data were reproducible on a large scale, a so high prevalence of diabetes in patients with HFpEF cold explain the efficacy of SGLT–2 inhibitor and GLP–1 Agonist in this class of patients.

Sex disparities in mid-term outcomes of ST-segment elevation myocardial infarction across age

Abstract Funding Acknowledgements None. Background Women with ST-segment elevation myocardial infarction (STEMI) have been reported to have higher short-term mortality than men, especially in younger patients. However, data on long-term outcomes did not corroborate this association. Purpose We aimed to evaluate if sex was an independent predictor of major adverse cardio-cerebrovascular events (MACCE) at 1-year follow-up. A sub-analysis across different age subgroups was performed. Methods We retrospectively studied consecutive STEMI patients treated by primary percutaneous coronary intervention (PCI) from January 2008 to December 2017. Cox proportional hazard models were used to identify predictors of MACCE at 1-year follow-up (death, cerebrovascular accident, new myocardial infarction in any vessel, or target lesion revascularization). Patients were divided into four age groups, according to quartiles, for subgroup analysis (≤50, 51-60, 61-70, >71 years). Results Of the 1131 patients included in the study, 291 (25.7%) were women. Women were older [68.2 (±14.2) vs 60.6 (±12.2) years, p<0.001], more often non-smokers (21.5% vs 60.2%, p<0.001), and had a higher prevalence of diabetes (34,8% vs 20.9%, p<0.001) and hypertension (71.6% vs 50.2%, p<0.001). They also had lower haemoglobin [12.8 (±1.6) vs 14.5 (±1.7) g/dl, p<0.001] and lower creatinine clearance at admission [73.8 (±35.3) vs 92.6 (±35.2) ml/min, p<0.001], as well as longer door-to-balloon times [90 (60-166) vs 75(50-120) min, p=0.005]. However, total ischemic time was not significantly different between groups [250(175-480) vs 224(150-440) min, p=0.054]. Overall, women had a higher occurrence of MACCE (22.1% vs 15.4%; log-rank P = 0.008, Figure 1). On multivariate analysis, sex was not found to be an independent predictor of MACCE (HR 1.12; 95% CI, 0.77–1.65; P = 0.547). The risk of unfavourable outcomes was mainly driven by other comorbidities (namely, age, presence of peripheral arterial disease, lower haemoglobin concentration, lower systolic blood pressure on admission, a higher peak CK activity, and the utilization of a femoral approach). When MACCE was stratified by age, sex was not an independent predictor of MACCE in any age group (Figure 2). Conclusion Women with STEMI submitted to PCI had a higher rate of MACCE at 1-year follow-up compared with men, however, sex was not an independent predictor of these events on multivariate analysis, regardless of the age subgroups considered.

An Electronic Health Record Model for Predicting Risk of Hepatic Fibrosis in Primary Care Patients

BackgroundOne challenge for primary care providers caring for patients with nonalcoholic fatty liver disease is to identify those at the highest risk for clinically significant liver disease.AimTo derive a risk stratification tool using variables from structured electronic health record (EHR) data for use in populations which are disproportionately affected with obesity and diabetes.MethodsWe used data from 344 participants who underwent Fibroscan examination to measure liver fat and liver stiffness measurement [LSM]. Using two approaches, multivariable logistic regression and random forest classification, we assessed risk factors for any hepatic fibrosis (LSM > 7 kPa) and significant hepatic fibrosis (> 8 kPa). Possible predictors included data from the EHR for age, gender, diabetes, hypertension, FIB-4, body mass index (BMI), LDL, HDL, and triglycerides.ResultsOf 344 patients (56.4% women), 34 had any hepatic fibrosis, and 15 significant hepatic fibrosis. Three variables (BMI, FIB-4, diabetes) were identified from both approaches. When we used variable cut-offs defined by Youden’s index, the final model predicting any hepatic fibrosis had an AUC of 0.75 (95% CI 0.67–0.84), NPV of 91.5% and PPV of 40.0%. The final model with variable categories based on standard clinical thresholds (i.e., BMI ≥ 30 kg/m2; FIB-4 ≥ 1.45) had lower discriminatory ability (AUC 0.65), but higher PPV (50.0%) and similar NPV (91.3%). We observed similar findings for predicting significant hepatic fibrosis.ConclusionsOur results demonstrate that standard thresholds for clinical risk factors/biomarkers may need to be modified for greater discriminatory ability among populations with high prevalence of obesity and diabetes.

Association of Low Levels of Placental Growth Factor and Fetal Growth Restriction in a Setting With a High Prevalence of Diabetes [ID 2683431

INTRODUCTION: Placental growth factor (PlGF) is a glycosylated protein from the vascular endothelial growth factor (VEGF) family that is involved in placental angiogenesis. In cases of placental dysfunction, decreased maternal serum PlGF levels predict the development of pregnancy complications such as preeclampsia, fetal growth restriction (FGR), and stillbirth. METHODS: Datasets from 114 high-risk patients who had clinical indication for PlGF testing from 2021 to 2023 were collected retrospectively. The anonymized dataset comprises PlGF test results categorized by gestational age-specific ranges and FGR categorized by percentile. Chi-squared analysis of 114 patients was used to assess the association between PlGF levels and FGR (less than 10th percentile). This study was approved by REb-USask #Bio3702. RESULTS: Of the 114 patients, 21 (18.4%) with low/very low PlGF and 8 (7.1%) with borderline/normal PlGF had fetuses with FGR less than 10th percentile. There was a significant difference between groups with a low/very low PlGF and normal PlGF levels (P<.001). The negative predictive value (NPV) for development of FGR less than 10% was 97.54%. CONCLUSION: Data collection is ongoing; however, in our patient population with a high prevalence of diabetes, preliminary data from 114 patients suggest that gestational age-stratified maternal serum PlGF levels have high NPV value for development of FGR less than 10th percentile. The implementation of this simple laboratory test in rural and remote communities would allow for earlier identification of pregnancies that require more intensive surveillance at a high-risk center of care.

Maternal Placental Growth Factor Levels Associated with Perinatal Outcomes in a High-Diabetes Prevalence Setting: A Retrospective Analysis

Maternal Placental Growth Factor Levels Associated with Perinatal Outcomes in a High-Diabetes Prevalence Setting: A Retrospective Analysis

Associating Maternal Placental Growth Factor Levels with Placental Imaging and Pathology: Insights from a High-Diabetes Prevalence Population

Associating Maternal Placental Growth Factor Levels with Placental Imaging and Pathology: Insights from a High-Diabetes Prevalence Population

High prevalence of diabetes among young First Nations Peoples with metabolic dysfunction-associated steatotic liver disease: a population-based study in Australia

BackgroundLiver disease is an important contributor to the mortality gap between First Nations Peoples and non-Indigenous Australian adults. Despite a high burden of metabolic comorbidities among First Nations Peoples, data about the epidemiology of metabolic dysfunction-associated steatotic liver disease (MASLD) in this population is scarce.MethodsA retrospective analysis of all adults hospitalized with MASLD or metabolic dysfunction-associated steatohepatitis (MASH) with/without cirrhosis during 2007–2019 in the state of Queensland was performed. Patients were followed from the first admission with MASLD/MASH (identified based on validated algorithms) to decompensated cirrhosis and overall mortality. We explored differences according to Indigenous status using Multivariable Cox regression.Findings439 First Nations Peoples and 7,547 non-Indigenous Australians were followed for a median of 4.6 years (interquartile range 2.7–7.2). Overall, women were overrepresented, but more so in the First Nations cohort (72.7% vs. 57.0%, p < 0.001). First Nations patients were younger, a higher proportion lived in remote and socioeconomic disadvantaged areas, and had higher comorbidity compared to non-Indigenous Australians (all p < 0.001). Diabetes, the most common comorbidity affecting both groups, was overrepresented in First Nations Peoples versus non-Indigenous Australians (43.5% vs. 30.8%, p < 0.001, respectively). Nineteen (4.3%) First Nations Peoples and 332 (4.4%) of non-Indigenous patients progressed to cirrhosis decompensation (9.0% [95%CI 4.5–17.7] vs. 7.7% [95%CI 6.6–8.9; p = 0.956] respectively within 10 years). In multivariable analysis, there was no association between Indigenous status and progression to decompensated cirrhosis (p = 0.759) and survival (p = 0.437).ConclusionsThis study provides the first population-based epidemiological data on MASLD in First Nations Australians. The high prevalence of diabetes (that is associated with advanced fibrosis and liver disease mortality) among young First Nations Peoples with MASLD raises concern about future risk of progressive liver disease in this patient population. These data highlight the importance of early identification of MASLD, and providing culturally appropriate intervention to reduce disease progression in parallel with the management of cardiometabolic comorbidities.

Ethnic disparities in the prevalence of diabetes and its association with sleep disorder among older adults in rural southwest China

ABSTRACT Objectives This study aimed to examine ethnic disparities in the prevalence of diabetes and its association with sleep disorders among the older adults Han and ethnic minority (Bai, Ha Ni, and Dai) population in rural southwest China. Methods A cross-sectional survey of 5,642 was conducted among the rural southwest population aged ≥60 years, consisting of a structured interview and measurement of fasting blood glucose, height, weight, and waist circumference. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Results The overall prevalence of diabetes and sleep disorder was 10.2% and 40.1%, respectively. Bai participants had the highest prevalence of diabetes (15.9%) and obesity (9.9%)(P < 0.01), while Ha Ni participants had the lowest prevalence of diabetes (5.1%) and obesity (3.4%)(P < 0.01). The highest prevalence of sleep disorder (48.4%) was recorded in Bai participants, while Dai participants had the lowest prevalence of sleep disorder (25.6%)(P < 0.01). In all four studied ethnicities, females had a higher prevalence of sleep disorder than males (P < 0.01), and the prevalence of sleep disorder increased with age (P < 0.01). The results of multivariate logistic regression analysis indicated older adults with sleep disorder had a risk of developing diabetes (P < 0.05). Moreover, the higher educational level, family history of diabetes, and obesity were the main risk factors for diabetes in participants (P < 0.01). Conclusion There are stark ethnic disparities in the prevalence of diabetes and sleep disorders in southwest China. Future diabetes prevention and control strategies should be tailored to address ethnicity, and improving sleep quality may reduce the prevalence of diabetes.

Mucormycosis in the time of COVID-19: risks and challenges

The first patients positive for SARS-CoV-2 were registered in December 2019. In March 2020, the World Health Organization (WHO) declared the COVID-19 outbreak a global pandemic, the beginning of a worldwide health crisis that revealed numerous medical challenges for healthcare systems and pandemic emergency strategies.Among these challenges, mucormycosis, a typically rare fungal infection, gained global attention. With an average global incidence of about 2 per 1 million people, mucormycosis is considered a very rare disease, an opportunistic infection mostly affecting the lungs or skin and soft tissues in immunocompromised patients. Poorly controlled diabetes mellitus is one of the leading risk factors for rhino-orbital mucormycosis. Countries with a high prevalence of diabetes and limited healthcare resources have higher mucormycosis rates, with India and Pakistan being among the nations with particularly high incidences.During the second wave of the COVID-19 pandemic in India, mucormycosis rates surged dramatically within a few weeks, with over 47,500 cases of COVID-19-associated mucormycosis (CAM) reported between May and August 2021. Mucormycosis is characterized by a high mortality rate of up to 90%, especially when the diagnosis is delayed, and treatment commences late. There were concerns about a potentially global threat.In this article, we explore the risk factors and mechanisms leading to this viral-fungal coinfection. We present global distribution patterns, clinical presentation, and challenges in the diagnosis and treatment of COVID-19-associated mucormycosis.

Food deserts exposure, density of fast-food restaurants, and park access: Exploring the association of food and recreation environments with obesity and diabetes using global and local regression models.

To prevent obesity and diabetes environmental interventions such as eliminating food deserts, restricting proliferation of food swamps, and improving park access are essential. In the United States, however, studies that examine the food and park access relationship with obesity and diabetes using both global and local regression are lacking. To guide county, state, and federal policy in combating obesity and diabetes, there is a need for cross-scale analyses to identify that relationship at national and local levels. This study applied spatial regression and geographically weighted regression to the 3,108 counties in the contiguous United States. Global regression show food deserts exposure and density of fast-food restaurants have non-significant association with obesity and diabetes while park access has a significant inverse association with both diseases. Geographically weighted regression that takes into account spatial heterogeneity shows that, among southern states that show high prevalence of obesity and diabetes, Alabama and Mississippi stand out as having opportunity to improve park access. Results suggest food deserts exposure are positively associated with obesity and diabetes in counties close to Alabama, Georgia, and Tennessee while density of fast-food restaurants show positive association with two diseases in counties of western New York and northwestern Pennsylvania. These findings will help policymakers and public health agencies in determining which geographic areas need to be prioritized when implementing public interventions such as promoting healthy food access, limiting unhealthy food options, and increasing park access.

Independent Correlates of Glycemic Control among Adults with Diabetes in South Africa.

Globally, the prevalence of diabetes is increasing, especially in low- and middle-income countries (LMICs), including those in the sub-Saharan African region. However, the independent socioeconomic correlates of glycemic control as measured by hemoglobin A1C have yet to be identified. Therefore, the aim of this analysis was to understand the independent correlates of glycemic control in South Africa. Data from the 2016 South Africa Demographic and Health Survey on adults with diabetes were used for this analysis. The dependent variable, glycemic control, was defined using hemoglobin A1c (HbA1c). Independent variables included: age, gender, ethnicity, marital status, region, urban/rural residence, ability to read, education, insurance, wealth, occupation, and employment in the last year. Analysis of variance was used to test for differences in mean HbA1c for each category of all independent variables, and a fully adjusted linear regression model was used to identify independent correlates of glycemic control (HbA1c). Among the 772 people included in this analysis, there were significant differences in mean HbA1c by age (p < 0.001), ethnicity (p < 0.001), place of residence (p = 0.024), wealth index (p = 0.001), and employment in the last year (p = 0.008). Independent correlates of HbA1c included age, ethnicity, and wealth index. This study used data from a large diverse population with a high prevalence of diabetes in sub-Saharan Africa and provides new evidence on the correlates of glycemic control and potential targets for interventions designed to lower HbA1c and improve diabetes-related health outcomes of adults in South Africa.

High-flow nasal oxygen in resource-constrained, non-intensive, high-care wards for COVID-19 acute hypoxaemic respiratory failure: Comparing outcomes of the first v. third waves at a tertiary centre in South Africa.

High-flow nasal oxygen (HFNO) is an accepted treatment for severe COVID-19-related acute hypoxaemic respiratory failure (AHRF). To determine whether treatment outcomes at Groote Schuur Hospital, Cape Town, South Africa, during the third COVID-19 wave would be affected by increased institutional experience and capacity for HNFO and more restrictive admission criteria for respiratory high-care wards and intensive care units. We included consecutive patients with COVID-19-related AHRF treated with HFNO during the first and third COVID-19 waves. The primary endpoint was comparison of HFNO failure (composite of the need for intubation or death while on HFNO) between waves. A total of 744 patients were included: 343 in the first COVID-19 wave and 401 in the third. Patients treated with HFNO in the first wave were older (median (interquartile range) age 53 (46 - 61) years v. 47 (40 - 56) years; p<0.001), and had higher prevalences of diabetes (46.9% v. 36.9%; p=0.006), hypertension (51.0% v. 35.2%; p<0.001), obesity (33.5% v. 26.2%; p=0.029) and HIV infection (12.5% v. 5.5%; p<0.001). The partial pressure of arterial oxygen to fraction of inspired oxygen (PaO2 /FiO2 ) ratio at HFNO initiation and the ratio of oxygen saturation/FiO2 to respiratory rate within 6 hours (ROX-6 score) after HFNO commencement were lower in the first wave compared with the third (median 57.9 (47.3 - 74.3) mmHg v. 64.3 (51.2 - 79.0) mmHg; p=0.005 and 3.19 (2.37 - 3.77) v. 3.43 (2.93 - 4.00); p<0.001, respectively). The likelihood of HFNO failure (57.1% v. 59.6%; p=0.498) and mortality (46.9% v. 52.1%; p=0.159) did not differ significantly between the first and third waves. Despite differences in patient characteristics, circulating viral variant and institutional experience with HFNO, treatment outcomes were very similar in the first and third COVID-19 waves. We conclude that once AHRF is established in COVID-19 pneumonia, the comorbidity profile and HFNO provider experience do not appear to affect outcome. What the study adds. This study adds to the body of evidence demonstrating the utility of high-flow nasal oxygen (HFNO) in avoiding invasive mechanical ventilation (IMV) in patients with severe COVID-19 hypoxaemic respiratory failure, and shows that this utility remained consistent across different waves of the COVID-19 pandemic.Implications of the study. In resource-constrained settings, HFNO is a feasible non-invasive alternative to IMV and can be employed with favourable and consistent outcomes outside traditional critical care wards. It also confirms that the degree of gas exchange abnormality, and not pre-existing patient-related factors, circulating wave variant or provider experience, is the main predictor of HFNO failure.

Prevalence of Diabetes, Ketosis, and Ketoacidosis and Their Correlation With Mortality in Critical COVID-19 Patients: A Single-Center Retrospective Study.

Aim We aimed to find out the prevalence of diabetes, ketosis, and ketoacidosis in coronavirus disease 2019 (COVID-19) critically ill patients and to explore the clinical impact of the development of ketosis and ketoacidosis on the outcome of COVID-19 critically ill patients and identify them as potential risk factors for these patients. Methods We collected data on COVID-19 patients admitted to the intensive care unit (ICU) retrospectively. The study population will be classified into two groups based on the presence of diabetes or ketosis. Results The study comprises data on 253 ICU patients admitted with COVID-19 pneumonia. Two hundred patients (79.05%) had diabetes or prediabetes on admission. Seventy-six patients (30%) presented with ketosis. Nine patients had progressed to diabetic ketoacidosis during their ICU stay. Concerning the outcome, among 150 patients who died (59.3%), there was significantly higher mortality among the ketotic patients (69.7%) compared to nonketotic patients (54.8%) with a P-value < 0.027. We noted that the peak blood glucose level during ICU stay was statistically significantly higher in nonsurvivors (mean 345 mg/dl) compared to survivors (mean 298 mg/dl) with a P-value of 0.006. Our data showed that peak serum levels of lactate, procalcitonin (PCT), C-reactive protein, white blood cells (WBC), D dimer, and lactate dehydrogenase strongly positively correlated to the length of ICU stay. We used the ROC curve (receiver operating characteristic curve) to assess the relation between many laboratories and mortality. We noted that uncontrolled hyperglycemia and other laboratory variables are significant predictors of mortality of COVID-19 patients (e.g., peak blood glucose (P = 0.004), PCT (P = 0.047), and P < 0.001 of other laboratories (e.g. lactate, PH, WBC, D dimer, ferritin). Conclusion We reported a high prevalence of diabetes and ketosis among COVID-19 patients admitted to the ICU. Ketosis is associated with an increased mortality risk. Uncontrolled hyperglycemia is a significant predictor of mortality in critically ill COVID-19 patients.

Non-alcoholic Fatty Liver Disease Among Iraqi Patients With Psoriasis: A Case-Control Study.

Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic liver disease worldwide. Several studies have shown that patients with psoriasis have a higher risk of developing NAFLD. Obesity, metabolic syndrome, and cytokine-mediated inflammation might be the link between psoriasis and NAFLD. This study aims to investigate the prevalence of NAFLD among psoriatic Iraqi patients and examine the relationship with disease severity using the Psoriasis Area and Severity Index (PASI) score and the correlation with different clinical and laboratory parameters. A case-control study on 130 psoriatic patients and 130 age-, sex-, and BMI-matched healthy controls was conducted at the Department of Dermatology in Basra Teaching Hospital from November 2022 to October 2023. All demographic and clinical data were collected using a pre-designed questionnaire, and NAFLD was diagnosed through a FibroScan examination performed on each participant. The severity of psoriasis was determined using the PASI score. Fasting glucose, liver enzymes, and lipid profile levels were investigated, and metabolic syndrome was identified. The prevalence of NAFLD was significantly higher in our psoriatic patients than in the control group (66.2% vs. 42.3%, OR=2.6, P<0.01). Psoriatic patients were found to have more severe NAFLD than the controls, as evidenced by their steatosis and fibrosis staging (P<0.01). In patients with psoriasis, NAFLD was associated with a higher prevalence of diabetes (17.4%) and metabolic syndrome (55.8%). Furthermore, psoriatic patients with NAFLD had significantly higher values of BMI, waist circumference, PASI score, as well as serum alanine transaminase (ALT), triglyceride, cholesterol, low-density lipoprotein (LDL), and fasting glucose levels.The study also found a significant positive correlation between the psoriasis severity based on PASI and the steatosis score. Metabolic syndrome, PASI, BMI, serum triglycerides, LDL, and age are the independent predictors of NAFLD. NAFLD is highly prevalent among psoriatic patients affecting more than half of them and closely associated with metabolic syndrome and severity of psoriasis. Routine screening for NAFLD may be necessary in psoriatic patients particularly when considering the use of hepatotoxic drug therapy.

Prevalence of Hypertension and Diabetes in Severe COVID-19: A Cross-Sectional Study from Single Center, Kabul.

Previous studies have reported an association between certain medical conditions, such as hypertension and diabetes, and severe COVID-19. To determine the prevalence of hypertension and diabetes among severe COVID-19 patients who were admitted to the only specialized center for COVID-19 in Kabul, Afghan-Japan Hospital Kabul, Afghanistan. A cross-sectional design was utilized, including 202 patients, admitted to Afghan-Japan Hospital during the first six months of 2022. Medical records of patients tested positive for COVID-19 via Polymerase chain reaction (PCR) with oxygen saturation levels below 90% at the time of admission were included in the study. Age, sex, and the presence of hypertension and diabetes were the studied variables. Descriptive statistics were used for analysis. The median age of the patients were 63 (IQR=54.75-75) years. Males and females each accounting for 50% of the total, and the majority of the patients (50.5%) were in the age group 60-79. Of 202 patients, 143 (70.8%) had hypertension, 42 (20.8%) had diabetes, 147 patients (72.77%) had at least one of these comorbidities. Fifty-five patients (27.22%) were without diabetes and without hypertension. The prevalence of hypertension and diabetes was higher among female, ie, 57.1% and 54.5% respectively. Patients in the 40-59 year old group had the highest rate of hypertension (75.6%). The highest prevalence of diabetes was seen in the 60-79 year old group. The study found a higher prevalence of hypertension in severe COVID-19 cases compared to global reports and the general adult population in Afghanistan. The relationship between hypertension and COVID-19 risk needs further investigation. The prevalence of diabetes was also higher, consistent with findings from other countries.

Banded One-Anastomosis Gastric Bypass (BOAGB) for Patients Living with Obesity and Extreme Obesity: A Single Institution's Experience.

The prevalence of patients suffering from extreme obesity (body mass index (BMI) ≥ 50) has significantly increased over the past three decades, surpassing the rise in the general population of overweight patients. Weight loss outcomes after bariatric surgery in patients suffering from extreme obesity are less favorable, with a higher incidence of weight regain. Variations of existing bariatric procedures have been proposed to address this issue. One such variation is adding a gastric band to limit the expansion of the newly created pouch. Limited data exist regarding the effectiveness of this procedure, called the banded one-anastomosis gastric bypass (BOAGB) procedure, compared to other bariatric procedures. In this retrospective study, we compared all patients who underwent the BOAGB procedure at the Bariatric Surgery Unit in our Medical Center with a postoperative follow-up of at least 1year with patients who underwent a one-anastomosis gastric bypass (OAGB) or sleeve gastrectomy (SG) procedures. Data collected included demographics, comorbidities, surgical outcomes, complications, and postoperative quality-of-life assessments. One hundred eleven patients were enlisted to our study during the relevant study period-24 patients underwent the BOAGB procedure, 43 underwent OAGB, and 44 underwent a SG. Lost to follow-up beyond 30days was 9% (at 1-year post-surgery, we were able to establish contact with 101 patients). The pre-op BMI was significantly higher in the BOAGB group compared to the other procedures. Additionally, a higher prevalence of diabetes was observed in the BOAGB group. The duration of surgery was significantly longer for the BOAGB procedure. No significant differences were found in surgical complications. Overall, all procedures resulted in significant excess weight loss (EWL) or change in BMI, improvement in comorbidities, and improved quality of life postoperatively. The BOAGB procedure, like OAGB and SG, demonstrated favorable weight loss outcomes and weight maintenance 1year postoperatively without significant differences between the procedures. The BOAGB procedure is relatively new, with good bariatric outcomes and a favorable safety profile. Long-term study is needed to evaluate these various bariatric procedures' efficacy further.

IJCM_315A: Pesticide exposure and Diabetes Mellitus - A Community based Analytical Cross-sectionalstudy among agricultural workers in Madurai east community block, Tamil Nadu

Background: World Health Organization (WHO) states that diabetes mellitus (DM) is the ninth leading cause of death in 2019¹. The study by Velmurugan et.al² in 2021 in rural Tamil Nadu shows a high prevalence of DM among agricultural workers (15.0%) compared to non-farming communities (8.7%). Pesticides, a source of Endocrine Disrupting Chemicals (EDCs) play a major etiological role in Diabetes Mellitus among them. Hence the need for present study. Objectives: 1. To estimate the prevalence of diabetes mellitus among agricultural workers in Madurai East Block 2. To find the association between pesticide exposure and other variables with DM. Methodology: A community-based cross-sectional study was conducted among 150 agricultural workers in Madurai East using multistage cluster sampling during august to November 2023.Sample size was calculated using Velmurugan et.al study². After obtaining informed consent, study population was interviewed using semi-structured validated (containing details about sociodemographics, pesticide exposure questionnaire, diabetic status) followed by anthropometric measurements in the previous day evening and advised 8 hrs fasting that night. Next day morning by 6 am, second visit was made to check fasting capillary blood glucose (CBG) using Accu-Chek glucometer. Data was analyzed using SPSS software version 21.0. Results: The mean age of the study population was 50.63 ± 13.36 years. Females constituted 66% (n=99). The mean years of agricultural work was 26.55 ± 13 years. The overall prevalence of DM among study population was 29.3%. The prevalence was slightly higher in pesticide applicators (33.33%) than agricultural workers (29.1%). Except for age, the chi-square test showed no significant association between pesticide exposure, gender, family history of DM, with DM. Conclusion: Higher Diabetic prevalence among agricultural workers demands further research to prove the hypothesis of pesticide exposure and development of diabetes.