Hematological Abnormalities and Associated Factors Among Patients with Hypothyroidism at the University of Gondar Comprehensive Specialized Hospital.

Objective: Abnormalities in blood cells are frequently associated with thyroid hormone disorders as a result of their involvement in the proliferation and production of blood cells. This study aimed to determine the magnitude and associated factors of hematological abnormalities in patients with hypothyroidism. Methods: A cross-sectional study was conducted from January 1 to June 30, 2023, at the University of Gondar Comprehensive Specialized Hospital. The present study included a total of 300 patients with hypothyroidism prospectively using the systematic random sampling technique. The hematological parameter data were collected using data extraction sheets, whereas the associated factor data were collected using both structured questionnaires and data extraction sheets. For complete blood cell counts, 4 mL of anticoagulated venous blood was collected and analyzed. The data were entered into Epi-data version 3.1 and analyzed with Stata version 14. Both bivariate and multivariate logistic regressions were performed to identify factors associated with hematological abnormalities. A P value < 0.05 was considered to indicate statistical significance. Results: The median value of red blood cell, hemoglobin, mean cell volume, white blood cell, and platelet were 4.63 x1012/µL, 14 g/dL, 84.3fl, 5.3 x103/µL, and 228, respectively. The overall incidences of anemia, leucopoenia, and thrombocytopenia in patients with hypothyroidism were 26.3% (95% confidence interval (CI): 21-32), 15.7% (95% CI: 14.2-17.2), and 9% (95% CI: 7.5-10.5), respectively. Lymphopenia was detected in 9% (95% CI: 8.6-10.1) of the patients, and neutropenia was detected in 6% (95% CI: 4.4-7.6) of the patients. Only three factors, female sex (adjusted odds ratio (AOR) =2.1, 95% CI=1.3-3.1), alcohol consumption (AOR= 3.8, CI=1.7-8.9), and febrile illness (AOR=2.7, 95% CI=1.3-5.4), were found to be significantly associated factors for anemia. Conclusion: The present study revealed heterogeneous hematological abnormalities in patients with hypothyroidism. Thus, early diagnosis and monitoring strategies are required to minimize complications in patients.

Assessment of hematology laboratory performance in the total testing process using quality indicators and sigma metrics in the northwest of Ethiopia: A cross-sectional study.

Background and Aims: Assuring laboratory quality by minimizing the magnitude of errors is essential. Therefore, this study aimed to assess hematology laboratory performance in the total testing process using quality indicators and sigma metrics. Methods: A cross-sectional study was conducted from April to June 2022. The study included a total of 13,546 samples. Data on included variables were collected using a checklist. Descriptive statistics were used to present the overall distribution of errors. Binary logistic regression models were applied. Furthermore, using a Sigma scale, the percentage of errors was converted to defects per million opportunities to assess laboratory performance. Finally, the defect per million opportunities was converted to a sigma value using a sigma calculator. Results: Of the 13,546 samples and corresponding requests, the overall error rate was 123,296/474,234 (26%): 93,412/47,234 (19.7%) pre-analytical, 2364/474,234 (0.5%) analytical, and 27,520/474,234 (5.8%) post-analytical. Of the overall errors, 93,412/123,296 (75.8%), 2364/123,296 (1.9%), and 27,520/123,296 (22.3%) were pre-analytical, analytical, and post-analytical errors, respectively. The overall sigma value of the laboratory was 2.2. The sigma values of the pre-analytical, analytical, and post-analytical phases were 2.4, 4.1, and 3.1, respectively. The sample from the inpatient department and collected without adherence to the standard operating procedures (SOPs) had a significantly higher (p < 0.05) rejection rate as compared to the outpatient department and collected with adherence to SOPs, respectively. In addition, an association between prolonged turnaround times and manual recording, inpatient departments, and morning work shifts was observed. Conclusion: The current study found that the overall performance of the laboratory was very poor (less than three sigma). Therefore, the hospital leadership should change the manual system of ordering tests and release of results to a computerized system and give need-based training for all professionals involved in hematology laboratory sample collection and processing.

COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia: application of the health belief model.

Background: The first case of COVID-19 virus was reported in Africa on 14 February 2020. The pandemic became more aggressive in the continent during the second wave than the first wave. Promoting vaccination behavior is an unparalleled measure to curb the spread of the pandemic. Regarding this, the health belief model (HBM) is the major model for understanding health behaviors. This study aimed to examine predictors of intended COVID-19 vaccine acceptance in the second wave of the pandemic among university students in Ethiopia using HBM. Methods: A cross-sectional study was conducted among 423 randomly selected medical and health science students at the University of Gondar from 21 August to 15 September 2020. Analysis of data was performed using STATA 14.0. Linear regression analysis was applied and a p value of less than 0.05 was used to declare statistical significance. Results: Among the total participants, 293 [72.2% (95.0%: CI: 67.2-76.8)] of them scored above the mean of COVID-19 vaccine acceptance. HBM explained nearly 46.3% (adjusted R2 = 0.463) variance in intention to receive the COVID-19 vaccine. Year of study (ß = 0.288; 95% CI: 0.144-0.056), using social media (ß = 0.58; 95% CI: 1.546-2.804), existing chronic disease (ß = 0.12; 95% CI: 0.042-0.433), perceived overall health condition (ß = 0.117; 95% CI: 0.307-0.091), perceived susceptibility (ß = 0.58; 95% CI: 1.546-2.804), perceived benefit (ß = 0.338; 95% CI: 1.578-2.863), and cues to action (ß = 0.49; 95% CI: 0.388-0.99) were significantly associated with intended COVID-19 vaccine acceptance at p value < 0.5. Conclusion: Approximately, three-quarters of the participants were above the mean score of COVID-19 vaccine acceptance, which is higher compared to previous reports in resource-limited settings. Interventions in this study setting chould include placing emphasis on the risks of acquiring COVID-19, enhancing perceived benefits of COVID-19 vaccination and improving cues to action by advocating COVID-19 vaccination. Our findings also implied that social media health campaigns are significant factor in COVID-19 vaccination behavioral change in this study setting.

Insulin Resistance-Induced Platelet Hyperactivity and a Potential Biomarker Role of Platelet Parameters: A Narrative Review.

Background: Insulin has an inhibitory effect on platelets; however, this is compromised in circumstances of Insulin Resistance (IR), leading to platelet hyperactivity. Platelet parameters such as mean platelet volume, platelet count, and platelet distribution width are simple and accessible potential biomarkers for the early diagnosis and prognosis of IR. Therefore, the aim of this review is to provide insight on the current status of knowledge regarding IR-induced platelet hyperactivation and the potential biomarker role of platelet parameters. Methods: This narrative review included articles published in the English language. Searches were carried out at the electronic databases PubMed and Google Scholar. The search strategy was done by combining key words and related database-specific subject terms (Mesh terms) with the appropriate Boolean operators. Conclusion: Increasing insulin sensitivity in insulin resistant patients would possibly cause substantial reduction in platelet activation, which in turn reduce complications related with platelet hyperactivation. The standard methods to measure IR are not frequently employed in clinical practice due to their expensiveness and complexity. Thus, early detection of IR using a simple and more widely available biomarkers such as mean platelet volume, platelet count and platelet distribution width would be beneficial. Particularly in developing countries where resource scarcity is a major constraint of the health sector, utilizing such easy and affordable biomarkers may have a crucial role.

The Association between Neutrophil-to-Lymphocyte Ratio and Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Background: Glycated hemoglobin (HbA1c) is a commonly used clinical marker to monitor the control of type 2 diabetes mellitus patients (T2DM). However, it is unable to identify the ongoing inflammatory changes in the body. These factors could be easily identified and monitored by the neutrophil-to-lymphocyte ratio (NLR). Therefore, this study is aimed at investigating the relationship between NLR and glycemic control in T2DM. Method: A comprehensive search of eligible studies was performed in various databases published until July 2021. A random effect model was used to estimate the standardized mean difference (SMD). A metaregression, subgroup, and sensitivity analysis were conducted to search for potential sources of heterogeneity. Result: A total of 13 studies were included in this study. Accordingly, the SMD of the NLR values between the poor and good glycemic control groups was 0.79 (95% CI, 0.46-1.12). Our study also showed that high NLR was significantly associated with poor glycemic control in T2DM patients (OR = 1.50, 95% CI: 1.30-1.93). Conclusion: The results of this study suggest an association between high NLR values and an elevated HbA1C in T2DM patients. Therefore, NLR should be considered a marker of glycemic control in addition to HbA1c in T2DM patients.

Role of RNA Splicing Mutations in Diffuse Large B Cell Lymphoma.

Ribonucleic acid splicing is a crucial process to create a mature mRNA molecule by removing introns and ligating exons. This is a highly regulated process, but any alteration in splicing factors, splicing sites, or auxiliary components affects the final products of the gene. In diffuse large B-cell lymphoma, splicing mutations such as mutant splice sites, aberrant alternative splicing, exon skipping, and intron retention are detected. The alteration affects tumor suppression, DNA repair, cell cycle, cell differentiation, cell proliferation, and apoptosis. As a result, malignant transformation, cancer progression, and metastasis occurred in B cells at the germinal center. B-cell lymphoma 7 protein family member A (BCL7A), cluster of differentiation 79B (CD79B), myeloid differentiation primary response gene 88 (MYD88), tumor protein P53 (TP53), signal transducer and activator of transcription (STAT), serum- and glucose-regulated kinase 1 (SGK1), Pou class 2 associating factor 1 (POU2AF1), and neurogenic locus notch homolog protein 1 (NOTCH) are the most common genes affected by splicing mutations in diffuse large B cell lymphoma.

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.

Blood specimen rejection rate in clinical laboratory: A systematic review and meta-analysis.

Background: Clinical laboratory errors have a great impact on patient safety and treatment. Although specimen rejections result in longer turnaround times and increased health-care costs, different studies present inconsistent findings. Therefore, the study aimed to determine the pooled prevalence of blood specimen rejection in clinical laboratory. Methods: Electronic databases including MEDLINE, PubMed, EMBASE, HINARI, Cochrane Library, Google Scholar, and Science Direct were comprehensively searched. Articles were screened and the data extracted independently by authors. Publication bias was checked by funnel-plots and Egger's statistical test. Pooled prevalence was estimated using a random-effects model. The I2 statistical test were performed to assess heterogeneity. The possible sources of heterogeneity were analyzed through subgroup and sensitivity analysis. Results: Total of 26 articles with 16,118,499 blood sample requests were included in the meta-analysis. The pooled prevalence of blood specimen rejection in the clinical laboratory was 1.99% (95% CI: 1.73, 2.25). Subgroup analysis showed that, the highest prevalence of specimen rejection was observed in Asia [2.82% (95%CI: 2.21, 3.43)] and lowest in America [0.55% (95%CI: 0.27, 0.82)]. The leading cause of blood specimen rejection in clinical laboratories were clotted specimen (32.23% (95%CI: 21.02, 43.43)), hemolysis (22.87% (95%CI: 16.72, 29.02)), insufficient volume (22.81% (95%CI: 16.75, 28.87)), and labelling errors (7.31% (95%CI: 6.12, 8.58)). Conclusion: The pooled prevalence of blood specimen rejection rate is relatively high especially in developing regions. Therefore, proper training for specimen collectors, compliance with good laboratory practices specific to specimen collection, transportation, and preparation is required to reduce the rejection rate.

Human leukocyte antigen alloimmunization prevention mechanisms in blood transfusion.

In many fields of clinical medicine and blood transfusion, the human leukocyte antigen (HLA) system is crucial. Alloimmunization happens as a result of an immune response to foreign antigens encountered during blood transfusion. This gives rise to alloantibodies against red blood cells (RBCs), HLA, or human platelet antigen (HPA). HLA alloimmunization following allogeneic transfusion was shown to be a result of contaminating white blood cells (WBCs) present in the product. It is a common complication of transfusion therapy that leads to difficulties in clinical intolerance and refractoriness to platelet transfusion during patient management. Single-donor platelets, prophylactic HLA matching, leukoreduction, and irradiation of cellular blood products are some of the mechanisms to prevent HLA alloimmunization during a blood transfusion. Now, the best approach to reduce the occurrence of primary HLA alloimmunization is the removal of WBCs from the blood by filtration.

Undernutrition and its associated factors among children aged 6 to 59 months in Menz Gera Midir district, Northeast Ethiopia: A community-based cross-sectional study.

BACKGROUND: Undernutrition can lead to impaired physical growth, restricted intellectual skills, low school performance, reduced working capacity, and rooted disability in adult life. Thus, this study was designed to assess the prevalence and associated factors of undernutrition among children aged 6 to 59 months. METHODS: A community-based cross-sectional study was conducted among 432 children aged 6 to 59 months in the Menz Gera Midir District. A multi-stage sampling technique was applied to recruit the study participants. Socio-demographic and socio-economic variables were collected by using structured questionnaires. Anthropometric measurements of the children were measured according to the World Health Organization's recommendation. A data collection sheet was used to collect information on the types of foods and number of meals consumed by the child. A bivariable and multivariable logistic regression was performed to identify factors associated with undernutrition. RESULT: In this study, about 11.3% (95% CI: 8.3-14.3%), 50.2% (95% CI: 45.5-55.0%), and 28% (95% CI: 23.8-32.3%) were wasted, stunted, and underweight, respectively. Children aged 12-23 months (AOR: 1.97; 95% CI: 1.01-3.87), 36-47 months (AOR: 2.05; 95% CI: 1.00-4.19), and being anemic (AOR: 2.92; 95% CI: 1.73-4.92) were found to be an independent predictor of stunting. Moreover, being anemic was found to be significantly associated with wasting (AOR: 6.84; 95% CI: 3.16-14.82). CONCLUSION: According to the findings of this study, undernutrition was a serious public health issue among 6-59 month old children in the Menz Gera Midir District. Children's age and anemia status were significantly associated with stunting and wasting. Therefore, community-based nutrition programs are vital to reduce childhood undernutrition.

Accuracy of monocyte to lymphocyte ratio for tuberculosis diagnosis and its role in monitoring anti-tuberculosis treatment: Systematic review and meta-analysis.

BACKGROUND: High monocyte to lymphocyte ratio (MLR) values may be associated with the risk of active tuberculosis (TB) infection in adults, infants, and postpartum women with HIV infection. It may also serve as an indicator of the effectiveness of anti-TB treatment. Thus, the main aim of this study is to ascertain the accuracy of MLR for the diagnosis of TB and its role in monitoring the effectiveness of anti-TB therapy. METHODS: This systematic review and meta-analysis followed the preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. All statistical analyses were performed using STATA 11 and Meta-DiSc software. The Quality assessment of Diagnostic Accuracy Studies tool was used to evaluate the methodological quality of the included studies. The area under the hierarchical summary receiver-operating characteristic hierarchical summary ROC curve [(HSROC) curve (AUC)] was also calculated as an indicator of diagnostic accuracy. RESULTS: A total of 15 articles were included in this study. Accordingly, the result showed that elevated MLR is associated with increased risks of TB disease [odd ratio = 3.11 (95% CI: 1.40-6.93)]. The pooled sensitivity and specificity of MLR for identifying TB were 79.5% (95% CI: 68.5-87.3) and 80.2% (95% CI: 67.3-88.9), respectively. The AUC of HSROC was 0.88 (95% CI: 0.857-0.903), indicating the excellent diagnostic performance of MLR for TB. This study also showed that there is a significant reduction in the MLR value after anti-TB treatment in TB patients (standardized mean difference  = 0.68; 95% CI: 0.007, 1.43). CONCLUSIONS: Generally, MLR can be considered as a crucial biomarker to identify TB and monitor the effectiveness of anti-TB therapy.

Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Can Predict the Severity in COVID-19 Patients from Ethiopia: A Retrospective Study.

Background: Coronaviruses are a broad family of pathogens that can cause mild to severe respiratory illnesses. Due to a strong inflammatory response and a weak immunological response, viral pneumonia inflammation, like Coronavirus Disease 2019 (COVID-19), displays an unbalanced immune response. Therefore, circulating biomarkers of inflammation and the immune system can serve as reliable predictors of a patient's prognosis for COVID-19. Hematological ratios are reliable markers of inflammation that are frequently utilized in pneumonia, primarily in viral infections with low cost in developing countries. Purpose: To examine the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in predicting the severity of COVID-19 patients. Methods: An institutional-based retrospective study was done on 105 hospitalized COVID-19 patients at the University of Gondar comprehensive specialized referral hospital, Northwest Ethiopia. The laboratory evaluations that were gathered, evaluated, and reported on included the total leucocyte count (TLC), absolute neutrophil count (ANC), absolute lymphocyte count (ALC), absolute monocyte count (AMC), NLR, LMR, and PLR. The Kruskal-Wallis test and Wilcoxon matched-pairs signed test were used to see whether there were any differences between the continuous variables. Receiver operating curve (ROC) analysis was used to determine the appropriate cut-off values for NLR, PLR, and LMR. P-value <0.05 was considered a statistically significant association. Results: ANC, NLR, and PLR were highest in the critical group (p = 0.001), while this group had the least ALC and LMR (p = 0.001). We calculated the optimal cut-off values of the hematological ratios; NLR (8.4), LMR (1.4), and PLR (18.0). NLR had the highest specificity and sensitivity, at 83.8% and 80.4%, respectively. Conclusion: Our research showed that NLR and PLR were good indicators of severity in COVID-19. However, our findings indicate that MLR is not a reliable predictor.

COVID-19 preventive practice and associated factors in Ethiopia: A systematic review and meta-analysis.

Objectives: COVID-19 is a global health concern due to its rapid spread and impact on morbidity and mortality. Implementing preventive measures plays an essential role in curbing the spread of COVID-19 infection. This study aimed to assess COVID-19 preventive practice and associated factors in Ethiopia. Study design: This study was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Methods: Medline, PubMed, Scopus, Cochrane, EMBASE, African Journal Online (AJOL) and Science Direct search engines were used to identify relevant articles published up to early December 2021. The Joana Brigg's Institute (JBI) checklist was used for quality appraisal. A random-effect model was fitted to calculate the pooled estimates. Higgins I2 statistics and Egger's test with funnel plots were analysed to check heterogeneity and publication bias, respectively. Due to significant heterogeneity, subgroup analysis by region, study population, study design and publication year, as well as sensitivity analysis, were done to assess the source of heterogeneity. Results: The pooled level of poor preventive practice for COVID-19 in Ethiopia was 51.60% (95% confidence interval [CI]: 40.30-62.90). Poor COVID-19 preventive practice declined from 61% in studies published in 2020 to 45% in 2021. Lack of knowledge about COVID-19 (adjusted odds ratio [AOR] = 4.61 [95% CI: 2.49-10.73]), a negative attitude towards COVID-19 management (AOR = 2.64 [95% CI: 1.82-3.82]), rural residence (AOR = 2.95 [95% CI: 2.12-4.12]), a low educational level (AOR = 2.93 [95% CI: 2.16-3.98]) and being female (AOR = 1.75 [95% CI: 1.27-2.40]) were significantly associated with a poor level of COVID-19 preventive practice in Ethiopia. Conclusions: The level of poor COVID-19 preventive practice in Ethiopia was relatively high. Poor COVID-19 prevention practices were significantly correlated with inadequate COVID-19 knowledge, a negative attitude towards COVID-19 management, low educational attainment, living in a rural area and being female. Creating awareness and health education programmes targeting COVID-19 prevention should be strengthened, especially in the target populations identified in this study.

Relationships of ABO and Rhesus blood groups with type 2 diabetes mellitus: a systematic review and meta-analysis.

OBJECTIVES: The susceptibility to type 2 diabetes mellitus (T2DM) has been linked to blood type. We aimed to characterize the relationships of the ABO and Rhesus blood groups with T2DM. METHODS: Literature searches were performed using the Medline, PubMed, Scopus, Cochrane, EMBASE, and Google Scholar databases to identify studies published up to 31 March 2022. The PRISMA guidelines were used for reporting. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were obtained using fixed-effects models. RESULTS: Twenty-six studies of 6870 patients with T2DM and 11,879 controls were identified. Compared with the other ABO groups, people with blood type B were at higher risk of T2DM (OR: 1.30, 95% CI: 1.20-1.41), while group O was associated with a lower risk (OR: 0.92, 95% CI: 0.86-0.98). There were no significant associations of T2DM with blood types A or AB, or Rh factor. CONCLUSION: Individuals with blood type B are at higher risk of developing T2DM. Therefore, they should be screened for T2DM on a frequent basis and be made aware of the importance of maintaining a balanced diet and regular exercise for the prevention of obesity and T2DM. PROSPERO REGISTRATION NUMBER: CRD42022353945.

Magnitude of Coagulation Abnormalities and Associated Factors Among Patients with Heart Diseases at the University of Gondar Comprehensive Specialized Hospital.

Background: Heart disease is a leading cause of hospitalization, death, and poor physical function due to comorbid conditions such as atrial fibrillation and stroke. It affects the blood hemostatic system, vasculature, and flow dynamics, causing both arterial and venous thrombosis. Thus, this study aimed to determine the magnitude of coagulation abnormalities among patients with heart disease attending the University of Gondar Comprehensive Specialized hospital. Methods: A cross-sectional study was conducted on a total of 98 patients with heart disease. Pretested structured questionnaires were used to collect data on socio-demographic and clinical variables. About 6 mL of venous blood was collected with the vacutainer method and analyzed using Huma cue-due plus and Sysmex KX-21N hematology analyzers for assessing coagulation abnormalities. Stool samples were processed via a direct wet mount. Thin and thick blood films were examined to assess malaria parasites. Data was entered into EPI-Info version 3.5.3 and then transported to SPSS version 20 for analysis. Descriptive statistics were summarized using frequency and percentage. Univariate and multivariate logistic regression models were fitted to identify factors associated with coagulopathy. P-value <0.05 was considered to be statistically significant. Results: The overall magnitude of coagulation abnormalities (thrombocytopenia, prolonged prothrombin time, and activated partial thromboplastin time) in patients with heart diseases was 85.7% (95% CI: 81.96, 89.45). Besides, prolonged prothrombin time, prolonged activated partial thromboplastin time, and thrombocytopenia were detected in 83.7%, 33.7%, and 12.2% of the study participants, respectively. Participants who are taking medications for chronic disease (AOR = 0.17; 95% CI: 0.04, 0.69), participants with stroke (AOR = 20; 95% CI: 14.7, 35), and participants taking antibiotics (AOR = 8.17; 95% CI: 1.66, 40.27) were significantly associated with prolonged coagulation time. Conclusion: This study showed that patients with heart disease had prolonged prothrombin time, activated partial thromboplastin time, and thrombocytopenia. Therefore, coagulation parameters are required to be checked regularly to monitor coagulation disorders and their complications in heart disease patients.

Hematological abnormalities before and after initiation of cancer treatment among breast cancer patients attending at the University of Gondar comprehensive specialized hospital cancer treatment center.

BACKGROUND: Breast cancer is the most frequent and fatal cancer type globally. The fatality rate of breast cancer is mostly due to disease complications like hematological alterations. Therefore, this study aimed to assess the hematological abnormalities before, during, and after the initiation of cancer treatment in breast cancer patients at the University of Gondar comprehensive specialized hospital. METHODOLOGY: Hematological profiles were collected from 267 breast cancer patients who attended the cancer treatment center from September 2017 to August 2021. A data extraction sheet was used to extract data from the patient's medical chart, including sociodemography, clinical, and hematological profiles. EPI info version 3.5.1 and SPSS Version 25 softwares were used for data entrance and analysis, respectively. Descriptive statistics were summarized using frequency and percentage. The Friedman test followed by a Wilcoxon signed rank test was used to compare the mean difference between the hematological profiles at zero and after the 4th and 8th cycles of treatment. RESULT: Of the total participants, 91% were females, and the median age of the study participants was 45 (IQR = 36, 55) years. Red blood cell, white blood cell, and lymphocyte counts, as well as hematocrit and hemoglobin values, were significantly reduced after the initiation of cancer treatment, while the platelet count and red cell distribution width were significantly increased. The prevalence of anemia was 21.7% (95% CI: 16.6, 26.8), 22.7% (95% CI: 17.6, 27.8), and 26.4% (95% CI: 21.3, 31.5) before, during, and after the initiation of cancer treatment, respectively. The prevalence of leukopenia before, during, and after treatment was 9.7%, 18.8%, and 15.1%, respectively. Finally the prevalence of thrombocytopenia was 6.3%, 3.4%, and 8% at before, during, and after treatment, respectively. CONCLUSION: This study concluded that many hematological parameters were significantly affected by the breast cancer treatment. Therefore, proper patient follow-up and provide appropriate interventions related to their hematological abnormalities is crucial. It is also important to conduct further prospective studies to confirm the findings of this study.

Peripheral Cytopenia and Its Associated Factors in Type 2 Diabetes Mellitus Patients, Northwest Ethiopia.

Background: Hematological abnormalities are linked with diabetes mellitus (DM) and play a major role in diabetes-related micro- and macro-vascular complications. Therefore, this study aimed to investigate the magnitude of peripheral cytopenia and associated factors in type 2 diabetes (T2DM) patients. Methods: A cross-sectional study was conducted from March to May 2021 at the University of Gondar Comprehensive Specialized Hospital. A total of 357 T2DM participants were selected using a simple random sampling technique. A total of 3 mL of venous blood samples were collected using the vacutainer method for the complete blood count (CBC). A univariate and multivariate regression analysis were used to investigate the association between dependent and independent variables. P-value ˂0.05 was considered statistically significant. Results: The magnitude of cytopenia, bicytopenia, and pancytopenia were 21% (95% CI: 17.1, 25.53), 1.1% (95% CI: 0.44, 2.85), and 0.56% (95% CI: 0.01, 1.12), respectively. Furthermore, the magnitudes of anemia, leucopenia, and thrombocytopenia were 8.7% (95% CI: 6.18, 12.06), 10.9% (95% CI: 8.09, 14.59), and 5.3% (95% CI: 3.43, 8.16), respectively. Being male (AOR: 3.23; 95% CI: 1.43, 7.56), lack of exercise (AOR: 2.70; 95% CI: 1.137, 6.43), and never married (AOR: 3.90; 95% CI: 1.248, 12.18) were all associated with anemia. Conclusion: This study showed that T2DM causes disturbances in the hematological parameters and leads to a mild level of cytopenia. It is, therefore, suggested that hematological abnormalities, especially cytopenia, should be monitored and controlled on a regular basis in T2DM patients for better prognosis and quality of life.

The diagnostic accuracy of macrophage colony-stimulating factor for cervical cancer: A systematic review and meta-analysis.

BACKGROUND: Macrophage colony-stimulating factor (M-CSF) overexpression in plasma levels serves as a useful predictor of carcinogenesis and poor prognosis. Thus, we aimed to investigate the diagnostic performance of M-CSF for cervical cancer. METHODS: A comprehensive search of eligible studies was performed in PubMed/MEDLINE, Cochrane Library, Google Scholar, Scopus, Web of Science, and EMBASE published until October 2021. For statistical analysis, Meta-disc software is used. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, 95% confidence interval (CI), and the area under the curve were estimated. A P value <.05 was considered statistically significant. RESULTS: A total of 5 studies were included in this systematic review and meta-analysis. The result showed that the pooled sensitivity and specificity of M-CSF to diagnose cervical cancer were 70% (95% CI: 66%-74%) and 84% (95% CI: 80%-88%), respectively. The summary positive likelihood ratio and negative likelihood ratio were 4.41 (95% CI: 2.86-6.82) and 0.36 (95% CI: 0.29-0.45), respectively. The area under the curve of the summary receiver operating characteristic curve was 0.86 (95% CI: 0.83-0.88), indicating the excellent diagnostic performance of M-CSF for cervical cancer. CONCLUSIONS: The results of this study showed that M-CSF has diagnostic value for the early detection of cervical cancer. As a result, M-CSF can be utilized in conjunction with existing test platforms to diagnose cervical cancer.

Role of complete blood cell count parameters in the diagnosis of neonatal sepsis.

BACKGROUND: Neonatal sepsis is one of the leading causes of neonatal morbidity and mortality in developing countries like Ethiopia. The investigation of neonatal sepsis needs the application of inclusive diagnostic tools. Therefore, this study aimed to assess the role of CBC parameters in diagnosing neonatal sepsis. METHODS: A comparative cross-sectional study was conducted from September 2020 to November 2021 at the University of Gondar Comprehensive Specialized Hospital. A total of 250 neonates were included using a convenient sampling technique. A structured questionnaire and a data collection sheet were used to obtain the socio-demographic and clinical characteristics of the study participants. A venous blood sample was collected for CBC and blood culture tests. Epi-Info Version 7 and SPSS Version 25 were used for data entry and analysis, respectively. The data distribution was checked by the Shapiro-Wilk test. Then, an independent t-test was conducted to compare CBC parameters, and the significant parameters were recruited for the ROC curves analysis. The Younden index test was used to determine the cutoff point for the sensitivity and specificity. A p-value of <0.05 was considered statistically significant. RESULTS: Out of 250 study participants, 144 (57.6%) were males, with a median age of 6 days (IQR = 4 days). Early-onset and late-onset sepsis were developed in about 29.6% (37/250) and 70.4% (88/250) of the neonates, respectively. The TLC and ANC parameters were significantly lower in cases than in control groups. The TLC, Hgb, lymphocyte count, and ANC parameters have a sensitivity of 64.8, 68, 33.6, and 49.6%, respectively. Their specificity in the diagnosis of neonatal sepsis was 64.8, 53.6, 83.2, and 90.4%, respectively. CONCLUSION: Total leucocyte count, ANC, and platelet count all showed significant associations with neonatal sepsis. Besides, the TLC, ANC, and platelet counts had good sensitivity and specificity in diagnosing neonatal sepsis. Therefore, these parameters can be used as a diagnostic tool for neonatal sepsis in resource-limited areas.

Coagulation parameters in lung cancer patients: A systematic review and meta-analysis.

BACKGROUND: Hypercoagulability in lung cancer patients is associated with a high incidence of mortality and morbidity in the world. Therefore, this meta-analysis aimed to explore the correlation of the basic coagulation abnormalities in lung cancer patients compared with the control. METHOD: PubMed, Scopus, and other sources were employed to identify eligible studies. The outcome variable was expressed using mean ± standard deviation (SD). Heterogeneity among studies and publication bias were evaluated. The quality of included studies was also assessed based on Newcastle-Ottawa Scale checklist. RESULT: Finally, through a total of eight studies, prolonged prothrombin time (PT; standard mean difference [SMD]: 1.29; 95% CI: 0.47-2.11), plasma D-dimer value (SMD 3.10; 95% CI 2.08-4.12), fibrinogen (SMD 2.18; 95% CI:1.30-3.06), and platelet (PLT) count (SMD 1.00; 95% CI 0.84-1.16) were significantly higher in lung cancer patients when compared with the control group. The single-arm meta-analysis also showed that compared with control, lung cancer patients had high pooled PT 13.7 (95% CI:12.2-15.58) versus 11.79 (95% CI = 10.56-13.02), high D-dimer 275.99 (95% CI:172.9-11735.9) versus 0.2 (95% CI:0.20-0.37), high plasma fibrinogen 5.50 (95% CI:4.21-6.79) versus 2.5 (95% CI:2.04-2.91), and high PLT count 342.3 (95% CI:236.1-448.5) versus 206.6 (95% CI:176.4-236.7). CONCLUSION: In conclusion, almost all the coagulation abnormalities were closely associated with lung cancer, and hence coagulation indexes provide an urgent clue for early diagnosis and timely management.