ABSTRACT
Background: Diabetes Mellitus (DM) is one of the most prevalent non-communicable diseases worldwide. Approximately 9.3% of the general population was estimated to have DM globally in 2019. Erythrocyte osmotic fragility (EOF) in hyperglycemic patients is expected to increase and determine the rate of erythrocyte hemolysis. Purpose: This study aimed to assess erythrocyte osmotic fragility (EOF) and its determinants and to compare hematological indices among T2DM patients on follow-up at the Jimma Medical Center (JMC), Jimma, Southwest Ethiopia. Methods: A facility-based cross-sectional study involving 124 participants (each 62) of T2DM patients and controls was conducted from October to November 2020 using a structured questionnaire. 5 mL of venous blood was drawn to assess OF, complete blood count, and blood glucose levels. EOF was investigated using a series hypotonic solution of NaCl. The supernatant of the centrifuged sample was transferred to cuvette test tubes, and the hemolysis stage was read on a spectrophotometer. The collected data were coded and entered into Epi-data Version 3.1. The analysis was performed using SPSS Version 23. Results: Compared with non-diabetic controls, patients with T2DM had significantly increased EOF. FBG >126mg/dl (AOR=7.741, 95% CI: 1.562-38.360), PPBG >200 mg/dl (AOR=7.576, 95% CI: 1.519-37.791), RDW (AOR=4.558, 95% CI: 1.136-18.284) were significantly associated with abnormal EOF. A statistically significant increase in total white blood cells and absolute neutrophil counts (P < 0.001) were observed in T2DM patients. From RBC indices, red blood cell distribution width (RDW) and mean corpuscular volume (MCV) were significantly increased in T2DM patients (P < 0.001). Conclusion: This study suggests that EOF was greater in patients with T2DM than in non-diabetic controls and was determined by FBG, PPBG, and RDW. The study also demonstrated that hematological index alterations were higher in T2DM subjects than in non-diabetic controls.
ABSTRACT
Background: The accurate estimation of gestational age is crucial in identifying prematurity and other health problems in newborns and in providing appropriate perinatal care. Although there are numerous methods for measuring gestational age, they are not always applicable. During these situations, it becomes challenging to ascertain whether a baby has been born prematurely or not. Therefore, this study aims to estimate gestational age by utilizing newborn anthropometric parameters. Purpose: The objective of this study is to estimate the gestational age of newborns in public hospitals located in the North Shewa Zone of the Oromia Region in Ethiopia, by using anthropometric parameters. Methods: A cross-sectional study was conducted at a facility from February 2022 to April 2022, using an interview-based questionnaire and anthropometric measurements. The anthropometric parameters that were measured include foot length (FL), mid-upper arm circumference (MUAC), and chest and head circumference (CHC). The study's sample size had a total of 420 participants. The data were cleaned, edited, manually checked for completeness, and entered into Epi-data version 3.1. Subsequently, the data were transferred into SPSS for analysis. The data were analyzed using descriptive analysis, simple linear regression, and multiple linear regressions. Finally, the data were presented using statements and tables. Results: There is a significant and positive correlation between anthropometric parameters, including head circumference (r: 0.483), MUAC (r: 0.481), foot length (r: 0.457), and chest circumference (r: 0.482) with gestational age. All anthropometric parameters demonstrated positive and significant estimates of gestational age. The combination of the four measurements yielded the strongest estimate of gestational age. Gestational age can be calculated by the formula: Gestational age (Weeks) = 9.78 + 0.209*CHC + 0.607*MUAC + 0.727*FL + 0.322*HC. Conclusion: Gestational age can be measured using head circumference, mid-upper arm circumference, foot length, and chest circumference. Utilizing the four anthropometric parameters in combination exhibits greater efficacy in estimating gestational age than using them individually. Therefore, it is recommended to use these alternative approaches when standard methods are not applicable.
