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BACKGROUND: Diabetes is a chronic metabolic syndrome that has become a global public health problem with significant morbidity and mortality. It is a pro-inflammatory and pro-thrombotic condition characterized by increased platelet activation and alterations in platelet indices. However, the use of platelet indices as predictors of poor glucoregulation has not been fully evaluated in this context, and evidence for their role as predictors of poor glycemic status in diabetic patients is limited. AIM: To evaluate platelet indices and determine their prognostic significance in relation to inadequate glucoregulation among individuals diagnosed with type 2 diabetes at Bishoftu General Hospital in Ethiopia, from June 15 to August 12, 2022. METHODS: A comparative cross-sectional study was conducted in 261 participants including 174 individuals with type 2 diabetes mellitus (T2DM) and 87 non-diabetic controls. The systematic random sampling technique was used to select par-ticipants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Platelet parameters and fasting blood glucose levels were determined from blood samples using Sysmex-XN550 and CobasC311 analyzers, respectively. The hematology analyzer output was checked and participants were also screened for malaria parasites using a prepared blood smear. Collected data were entered into Epi-data version 3.1 and exported to SPSS version 25 for analysis. The χ 2 test, Mann-Whitney U test, Kruskal-Wallis test, post hoc test, Spearman correlation, and receiver operating characteristic curve were used for analysis. A P value < 0.05 was considered statistically significant. RESULTS: The results of our study indicate that diabetic patients have significantly higher levels of platelet distribution width (PDW), mean platelet volume (MPV), platelet large cell ratio (PLCR), and plateletcrit (PCT) compared to healthy individuals (P < 0.001). Furthermore, these indices were found to be significantly elevated in individuals with poor glycemic control in T2DM compared to those with good glycemic control and healthy controls. We also observed significant correlations between these indices and various anthropometric and clinical variables. Our findings suggest that PDW, with a cut-off value of 15.75 fL and an area under the curve (AUC) of 0.803, MPV, with a cut-off value of 12.25 fL and an AUC of 0.774, PLCR, with a cut-off value of 36.3% and an AUC of 0.775, and PCT, with a cut-off value of 0.24% and an AUC of 0.761, can serve as predictors of poor glycemic control in patients with diabetes mellitus. CONCLUSION: The observed correlation between diabetic patients and a significant increase in platelet indices has highlighted their potential as predictors of poor glycemic control in diabetes. Therefore, regular screening and profiling of platelet indices is recommended as part of the follow-up process for individuals with diabetes mellitus.
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BACKGROUND: Pancytopenia is an important hematological problem encountered in routine clinical practice associated with a multitude of disease states. The possible causes of pancytopenia can be influenced by geography, socioeconomic conditions, and endemic illnesses. Information regarding the underlying clinical conditions and morphologic features of blood cells of pancytopenia is limited and varied across different regions. Thus, this study was designed to assess the peripheral morphologic features of blood cells and the underlying clinical causes of pancytopenia. METHODS: A facility-based cross-sectional study was conducted at the Jimma Medical Center hematology laboratory from June 13 to November 13, 2022. A total of 3 mL of whole blood was collected from each subject for complete blood count analysis and peripheral blood morphology examination. Data on sociodemographic and clinical conditions were collected from medical records using a checklist. The data were analyzed using Statistical Package for the Social Sciences version 26. RESULTS: A total of 163 patients with pancytopenia were identified within the 5 months. Hyper-reactive malarial splenomegaly was the most prevalent cause (29.4%), followed by megaloblastic anemia (20.2%), chronic liver disease (10.4%), and acute leukemia (8.6%). Anisocytosis was the predominant peripheral blood morphology finding (82.2%), along with microcytosis (49.7%), ovalocytosis (31.3%), and macrocytosis (30.7%). Severe anemia was observed in 57% of cases, whereas the majority (92%) exhibited moderate leukopenia. A significant proportion (42.3%) had a platelet count below 50,000/µL. CONCLUSION: Unlike previous studies conducted in other parts of the world, this study showed that hyperreactive malarial splenomegaly was the leading cause of pancytopenia. This emphasizes the necessity of considering this condition as a possible cause for pancytopenia, particularly in malaria-endemic areas. The findings of the hematological profiles and peripheral blood morphology strongly suggest that early identification and prompt management of patients with pancytopenia require collaboration between clinical and laboratory investigations.
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Background: Human exposure to benzene is associated with many adverse health effects. It is mainly related to impairment of the hematopoietic system and bone marrow suppression, causing abnormalities in hematological parameters. However, the reports obtained from different studies are contradictory, and there are little data regarding the hematological parameters of gas station workers in the study area. Therefore, this study aimed to evaluate the hematological parameters of gas station workers in Hosanna town, southwest Ethiopia, from May 01 to June 15, 2020. Methods: A comparative cross-sectional study was conducted by involving 180 (60 gas-stations workers and 120 controls) participants. Socio-demographic and related data of the study participants were collected using a pre-tested structured questionnaire through face-to-face-interviews. All phases of quality assurance were maintained, and hematological parameters were determined using Uni-Cel DxH 800 automated hematological analyzer. Independent sample T-test, Mann-Whitney U-test, and one-way ANOVA were used for data analysis. Statistical significance was declared at P<0.05. Results: Statistically significant difference was observed in hematological parameters of gasoline-workers and control groups. The mean of red blood cell count among gasoline-workers was significantly reduced as compared to control groups (p=0.007). In addition, the median of hemoglobin levels among gasoline-workers was significantly decreased as compared to the control groups (p=0.001). In contrast, a significant increase was observed in median of absolute eosinophil count among the gasoline-workers as compared to control groups (p=0.01). The mean of mean cell volume was significantly decreased with respect to the duration of work experience (p=0.04). Conclusion: In this study, a statistically significant difference was observed in some hematological parameters of gas station workers compared to the control group. Therefore, medical observation and periodic medical check-ups of the hematological profile should be considered to prevent the development of medical complications.
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Background: The international consensus group suggested criteria for action following automated complete blood count and white blood cell differential analysis. These criteria were set based on data from laboratories of developed countries. It is highly important to validate the criteria in developing countries where infectious diseases are still rampant that can affect blood cell count and morphology. Thus, this study aimed to validate the consensus group criteria for slide review at Jimma Medical Center, Ethiopia from November 1, 2020 to February 30, 2021. Methods: The study comprised a total of 1685 patient samples from the daily laboratory workload of CBC analysis. The samples were collected in K2-EDTA tubes (Becton Dickinson) and analyzed using Coulter DxH 800 and Sysmex XT-1880 hematology analyzers. A slide review was done on two Wright-stained slides for each sample. All statistical analyses were performed using SPSS version 20 software. Results: There were 39.8% positive findings, the majority of which were related to red blood cells. The false negative and false positive rates for Sysmex and Coulter analyzer were 2.4% vs 4.8%; and 4.6% vs 4.7%, respectively. The false negative rate was unacceptably higher when we used physicians' triggered slide review, which was 17.3% and 17.9% for Sysmex and Coulter analyzers, respectively. Conclusion: Generally, the consensus group rules are suitable to use in our setting. However, we might still need to modify the rules, particularly to reduce the review rates. It is also necessary to confirm the rules with case mixes proportionally derived from the source population.
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Background: Diabetes is a chronic metabolic syndrome that is a global public health problem. Studies have used hematological parameters and hemogram-derived markers as predictors of poor glycemic and microvascular complications status in diabetics. However, the tendency to use these parameters is not fully evaluated in our context, and the evidence is inadequate. This study aimed to assess the hematological profiles and prognostic role of hemogram-derived novel markers in diabetes mellitus and its complications among DM patients at Bishoftu General Hospital, Ethiopia. Methods: A comparative cross-sectional study was conducted among 261 participants from June 15 to August 12, 2022. A systematic random sampling technique was used to select participants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Hematological parameters and fasting blood glucose levels were determined from blood using Sysmex-XN550 and Cobas C311 analyzers, respectively. Blood smear was used to check Hematology analyzer output, and to screen participants for malaria parasites. Collected data were entered into Epi-data 3.1 and exported to SPSS-25. Data were analyzed by Chi-square, Mann-Whitney U-test, Kruskal-Wallis test, Post hoc test, and ROC curve. A P-value <0.05 was considered statistically significant. Results: Total WBC, neutrophils, Monocyte, NLR, MLR, MPVLR, and PLR were significantly higher in poor glycemic and complicated T2DM; meanwhile, measured RBC parameters, RBC indices values were significantly lower in poor glycemic and complicated T2DM. The NLR, MLR, MPVLR, PLR, and NLR, MLR, MPVLR, RPR values were identified as predictors of poor glycemic and complication status in diabetic patients, respectively. Conclusion: Significant increment of some hematological parameters and hemogram-derived markers, and their role in predicting poor glycemic and microvascular complications were identified in diabetic patients. Routine screening of hematological parameters and use of hemogram-derived markers for monitoring of altered health status in DM is very important in the improvement of patient quality of life.
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BACKGROUND: Anemia is one of the common complications of pregnancy. Hemoglobin concentration, Hematocrit, and Red cell count are laboratory tests used to diagnose anemia. In are source poor setting, there is a practice of using three-fold converted Hematocrit. This study is designed to assess the association and acceptability of three-fold converted Hematocrit as compared to the standard Micro-hematocrit method, in pregnant women. METHOD: The cross-sectional study conducted from May 18 to June 12, 2018 involved 200 pregnant women who visited the Laboratory for a Hematocrit test. Three milliliter of venous blood was collected with EDTA tube to determine Hematocrit by the Micro-hematocrit method and Hemoglobin concentration measured by a HemoCue Hemoglobin B analyzer. A scatter plot, correlation coefficient, Bland and Altman plot, and Area under curve were employed to assess the agreement and acceptability of the calculated Hematocrit as compared to the standard Micro-hematocrit. RESULT: The correlation coefficient, Intraclass correlation coefficient and concordance correlation coefficient were 0.91, 0.94, and 0.89, respectively. The Bland and Altman plot showed a mean difference of 0.94 with the limit of agreement ranges from 0.6 to 1.3. The area under the receiver operating characteristics with cut-off point of Hematocrit <33% was 0.86. The sensitivity and specificity of the calculated method was 95.5% and 71.4%, respectively. CONCLUSION: Generally there is excellent association between the two methods. The two methods were identical within inherent imprecision of both methods. Hence, the Hematocrit value, threefold calculated from the Hemoglobin was found to be acceptable to diagnose anemia in pregnant women.