Anemia and associated factors among patients admitted with metabolic syndromes at Worabe Comprehensive Specialized Hospital, Southern Ethiopia: A cross-sectional study

The relationship between non-HDL cholesterol to HDL cholesterol ratio (NHHR) and anemia: A cross-sectional study of NHANES, 2009 to 2016

The non-HDL cholesterol to HDL cholesterol ratio (NHHR) is a newly developed metric that represents the ratio of non-HDL cholesterol to HDL cholesterol. Anemia is a prevalent public health concern affecting all age groups. Our purpose is to investigate the connection between NHHR and the prevalence of anemia, as well as to explore their potential interactions. A total of 17,019 participants were incorporated into this research. NHHR was calculated as the scale of non-HDL cholesterol to HDL cholesterol. According to WHO criteria, anemia at sea level is diagnosed with a hemoglobin level (g/dL) of <12 for women and <13 for men. This study utilized multivariate linear regression, threshold effect analysis, smooth curve fitting, multivariate logistic regression as well as subgroup analysis, to investigate the linkage between the NHHR and anemia. After complete adjustment, the model indicated a strong inverse relationship between NHHR and the prevalence of anemia (the odds ratio [OR] was 0.82 with a 95% confidence interval of 0.78-0.86), suggesting that an incremental increase in NHHR correlates with an 18% decrease in the prevalence of anemia. Segmenting NHHR into quartiles maintained this significant association. The prevalence of anemia was 51% lower among participants in the highest NHHR quartile compared to those in the lowest quartile, with an OR of 0.49 (95% CI: 0.41-0.59; P for trend < .0001). Subsequent analysis revealed a significant improvement in the threshold effect value to 4.28 for the potential relationship between NHHR and anemia. Subgroup analysis showed an inverse correlation in some subgroups. Alcohol consumption significantly affects the relationship between NHHR and anemia (interaction P < .05). Our study revealed that NHHR is inversely proportional to the prevalence of anemia in U.S. adults.

Prevalence and associated factors of anaemia in patients with type 2 diabetes mellitus: a cross-sectional study in a tertiary care medical unit, Sri Lanka

BACKGROUND

Anaemia is a global public health issue that impacts individuals of all ages in both developed and developing countries. Anaemia is common in patients with diabetes mellitus; however, it is often undiagnosed and untreated. The main aim of this study was to assess the prevalence and associated factors of anaemia in patients with type 2 diabetes mellitus admitting to a medical unit at National Hospital Kandy.

METHODS

A descriptive, cross-sectional study was conducted in type 2 diabetes mellitus (T2DM) patients admitted to a medical ward at National Hospital Kandy (NHK). They were assessed with a pre-tested, interviewer-administered, structured questionnaire using consecutive sampling method. The data was entered and analyzed using SPSS 26.

RESULTS

Total 252 patients with diabetes were included. The prevalence of anaemia in patients with T2DM was 31.3%. The corresponding values for males and females were 34.2% and 65.8% respectively. Independent predictors for anaemia among diabetic patients were older age, female gender, poor glycemic control, diabetes duration > 5 years, diabetic nephropathy, retinopathy, neuropathy, stage ≥ 3 chronic kidney disease (CKD), ischaemic heart disease (IHD), peripheral vascular disease (PVD), diabetic foot ulcers (DFU) and usage of aspirin. These were significantly associated with the prevalence anemia among patients with type 2 diabetes mellitus. Multivariate logistic regression analysis revealed that female gender, age ≥ 65 years, diabetic duration > 5 years, poor glycaemic control, stage ≥ 3 CKD, diabetic nephropathy and retinopathy were associated with greater odds for the presence of anaemia.

CONCLUSION

We found that 31.3% T2DM patients in a medical ward at NHK had previously undiagnosed anaemia. Anaemia screening during diabetes diagnosis, maintaining glycaemic control and raising patient awareness can reduce anaemia prevalence, improve patient quality of life and potentially reduce microvascular complications.

Normotensive metabolic syndrome in Transient Receptor Potential Canonical Channel type 1 Trpc1-/- mice

Metabolic syndrome has become a global epidemic, affecting all developed countries and communities with growing economies. Worldwide, increasing efforts have been directed at curbing this growing problem. Mice deleted of the gene encoding Type 1 Transient Receptor Potential Canonical Channel (Trpc1) were found to weigh heavier than controls. They had fasting hyperglycemia and impaired glucose tolerance compared with wild-type controls. Beyond 1 year of age, plasma triglyceride level in Trpc1-/- mice was elevated. Plasma cholesterol levels tended to be higher than in controls. The livers of Trpc1-/- mice were heavier, richer in triglyceride, and more echogenic than those of controls on ultrasound evaluation. Hematocrit was lower in Trpc1-/- mice of both genders beginning at the second to third months of age in the absence of bleeding or hemolysis. Measured by the indirect tail-cuff method or by the direct arterial cannulation, blood pressures in null mice were lower than controls. We conclude that TRPC1 gene regulates body metabolism and that except for hypertension, phenotypes of mice after deletion of the Trpc1 gene resemble mice with metabolic syndrome, suggesting that this could be a good experimental model for future investigation of the pathogenesis and management of this disorder.

Hemoglobin Levels, Anemia, and Their Associations with Body Mass Index among Pregnant Women in Hail Maternity Hospital, Saudi Arabia: A Cross-Sectional Study

The level of association between hemoglobin level/anemia and obesity during pregnancy is not yet fully understood. A cross-sectional study was conducted in Hail Maternity Hospital in northern Saudi Arabia from March to May 2023 to assess the associations between hemoglobin levels, anemia, and obesity among pregnant women. Reproductive history was gathered through a questionnaire. Body mass index (BMI) was calculated/computed from the women's weight and height. Linear and binary regression analyses were performed. A total of 334 pregnant women were enrolled. The median (interquartile range (IQR)) age and parity were 33.2 (27.4-37.8) years and 3 (1-5), respectively. Of the 334 women, 52 (15.6%) were normal weight, while 87 (26.0%) were overweight and 195 (58.4%) were obese. In the multiple linear regression, parity (coefficient = -0.121, p = 0.001) and BMI (coefficient = 0.030, p = 0.006) were negatively associated with the hemoglobin level. Ninety-nine (26.9%) women had anemia. In the multivariate analysis, primiparity (adjusted odds ratio (AOR) = 0.54, 95% confidence interval (CI) = 0.30-0.97), increasing BMI (AOR = 0.93, 95% CI = 0.89-0.97), and obesity (AOR = 0.31, 95% CI = 0.16-0.61) were associated with decreased ORs of anemia. Increasing parity was associated with increased ORs of anemia (AOR = 1.18, 95% CI = 1.05-1.32). Being overweight was not associated with anemia (AOR = 0.56, 95% CI = 0.27-1.16). In the current study, a high hemoglobin level and lower prevalence of anemia were observed among obese pregnant women.

Hematological abnormalities and associated factors among metabolic syndrome patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia

BACKGROUND

Metabolic Syndrome (MetS) is a cluster of interconnected metabolic diseases. Hematological abnormalities are common but neglected complications of MetS. Thus, this study aimed to determine the magnitude of hematological abnormalities and their associated factors among MetS patients at the University of Gondar comprehensive specialized hospital, Northwest Ethiopia.

METHOD

A hospital-based cross-sectional study was conducted at the University of Gondar comprehensive specialized hospital from March to May 2022. A total of 384 MetS patients were selected using a systematic random sampling technique. Data were collected using pre-tested structured questionnaires and checklists. Anthropometric and blood pressure measurements were taken, and blood sample was collected for complete blood count determination. Stool and blood film examinations were performed to detect intestinal and malaria parasites, respectively. Data were entered into EpiData 3.1 and analyzed by Stata 14.0 software. Bivariate and multivariate logistic regression models were fitted to identify factors associated with hematological abnormalities. A p-value of < 0.05 was considered statistically significant.

RESULTS

The magnitude of anemia, leukopenia, leukocytosis, thrombocytopenia, and thrombocytosis was found to be 13.3%, 0.5%, 2.9%, 1.6%, and 2.3%, respectively. Being male (AOR = 2.65, 95% CI: 1.14, 6.20), rural residency (AOR = 5.79, 95% CI: 1.72, 19.51), taking antihypertensive medications (AOR = 3.85, 95% CI: 1.16, 12.78), having elevated triglyceride level (AOR = 2.21, 95% CI: 1.03, 4.75), and being overweight or obese (AOR = 0.32, 95% CI: 0.16, 0.64) were significantly associated with anemia.

CONCLUSIONS

Anemia was the most prevalent hematological abnormality identified in the present study, followed by leukocytosis and thrombocytosis. Anemia was a mild public health problem among MetS patients in the study area. Routine anemia screening for all MetS patients, especially for those with significant associated factors, may help in the early detection and effective management of anemia, which subsequently improves the patients' quality of life.

Triple burden of malnutrition and role of anaemia in the development of complications associated with type 1 diabetes in Indian children and youth

OBJECTIVES

The double burden of malnutrition accompanied by micronutrient deficiency is referred to as the triple burden of malnutrition (TBM). Very few studies have highlighted the TBM in children with type-1 diabetes. We conducted this study with the objective of estimating the TBM in Indian children and youth with type-1 diabetes (T1D) and to study role of anaemia in the development of complications associated with T1D.

METHODS

This cross-sectional observational study included 394 subjects with T1D. Demographic data, anthropometry, blood pressure, biochemical measurements, dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography were performed using standard protocols. Estimated glucose disposal rate (eGDR) and estimated glomerular filtration rate (eGFR) were calculated for all subjects.

RESULTS

We report a 16, 5.8, and 16.2% prevalence of anaemia, underweight and overweight/obese suggesting TBM with microcytic hypochromic anaemia as the most common morphological form. Haemoglobin concentrations showed positive correlation with systolic and diastolic blood pressure. The presence of anaemia was a significant predictor of eGDR and macrovascular complications in T1D which could not be attributed to glycemic control. Bone health of anaemic T1D subjects was poor than subjects without anaemia on DXA scan after adjusting for confounders. No systematic pattern between Hb concentrations and eGFR or ACR was found.

CONCLUSIONS

TBM in Indian children and youth with T1D is a significant health problem and anaemia is an important predictor in the development of macrovascular complications and poor bone health associated with T1D. However, its role in development of microvascular complications remains to be explored.

Smartphone-Integrated Label-Free Rapid Screening of Anemia from the Pattern Formed by One Drop of Blood on a Wet Paper Strip

Screening of anemic patients poses demanding challenges in extreme point-of-care settings where the gold standard diagnostic technologies are not pragmatic and the alternative point-of-care technologies suffer from compromised accuracy, prohibitive cost, process complexity, or reagent stability issues. As a disruption to this paradigm, here, we report the development of a smartphone-based sensor for rapid screening of anemic patients by exploiting the patterns formed by a spreading drop of blood on a wet paper strip wherein blood attempts to displace a more viscous fluid, on the porous matrix of a paper, leading to "finger-like" projections at the interface. We analyze the topological features of the pattern via smartphone-enabled image analytics and map the same with the relative occupancy of the red blood cells in the blood sample, allowing for label-free screening and classification of blood samples corresponding to moderate to severe anemic conditions. The accuracy of detection is verified by comparing with gold standard reports of hematology analyzer, showing a strong correlation coefficient (R²) of 0.975. This technique is likely to provide a crucial decision-making tool that obviates delicate reagents and skilled technicians for supreme functionality in resource-limited settings.