Prevalence of thyroid dysfunction and associated factors among adult type 2 diabetes mellitus patients, 2000-2022: a systematic review and meta-analysis.

BACKGROUND: Thyroid dysfunction (TD) and type 2 diabetes mellitus (T2DM) frequently co-occur and have overlapping pathologies, and their risk increases with age. Thyroid dysfunction along with T2DM will worsen macro- and microvascular complications, morbidity, and mortality. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement guideline was followed. The databases used were Embase, ScienceDirect, PubMed, and Google Scholar. The Joana Briggs Institute (JBI) scale was used to assess the quality of the included studies. The data was extracted by Microsoft Excel and analyzed through STATA version 14 software. The overall pooled prevalence of TD and its main components were estimated using the random-effects model. The consistency of studies was assessed by I2 test statistics. Pooled meta-logistic regression was used to present the pooled prevalence with a 95% confidence interval (CI). Besides, subgroup and sensitivity analyses were employed. RESULT: Thirty-eight studies were included. The pooled prevalence of TD was 20.24% (95% CI: 17.85, 22.64). The pooled prevalence of subclinical hypothyroidism, hypothyroidism, subclinical hyperthyroidism, and hyperthyroidism was found to be 11.87% (95% CI: 6.90, 16.84), 7.75% (95% CI: 5.71, 9.79), 2.49% (95% CI: 0.73, 4.25), and 2.51% (95% CI: 1.89, 3.13), respectively. Subgroup analysis based on continent revealed a higher prevalence of TD in Asia and Africa. Factors like being female, HbA1c ≥ 7%, DM duration > 5 years, family history of TD, central obesity, smoking, the presence of retinopathy, and neuropathy were found associated with TD. CONCLUSION: The current systematic review and meta-analysis showed that the TD's pooled prevalence was relatively higher than the general population. Therefore, regular screening of TD should be done for T2DM patients.

Dyslipidemia and associated factors among adult cardiac patients: a hospital-based comparative cross-sectional study.

BACKGROUND: Atherosclerotic vascular diseases are a leading global cause of morbidity and mortality. Dyslipidemia, a major modifiable risk factor for cardiovascular disease, remains poorly understood among adult cardiac patients in in the study area. This study aims to determine the prevalence of dyslipidemia and identify associated factors in this population. METHODS: Hospital-based comparative cross-sectional study was conducted from May to August 2021. A total of 319 participants (153 cardiac cases, 166 healthy controls, aged ≥ 18) were included in the study. Socio-demographic, anthropometric, behavioral, and clinical data were collected using the WHO STEPS survey instrument through systematic sampling. Overnight fasting blood samples were obtained, and serum lipid profiles were analyzed using a COBAS 6000 analyzer. Data were analyzed with SPSS version 20.0, employing bivariable and multivariable logistic regression. Statistical significance was set at p < 0.05. RESULTS: The overall prevalence of dyslipidemia, encompassing at least one lipid abnormality, was 80.3% among 256 participants. Among cardiac cases, the prevalence rates were as follows: 72.5% for low HDL-cholesterol, 12.4% for hypercholesterolemia, 9.8% for elevated LDL-cholesterol, and 30.1% for hypertriglyceridemia. In controls, corresponding rates were 69.9%, 9.6%, 7.2%, and 32.5%. Significant factors linked to low HDL- cholesterol were female gender (AOR: 2.8, 95% CI 1.7-4.7) and obesity (AOR: 2.8, 95% CI 1.1-7.5). Abdominal obesity was associated with hypercholesterolemia (AOR: 5.2, 95% CI 1.9-14.3) and elevated LDL-cholesterol (AOR: 5.1, 95% CI 1.6-15.8). High blood pressure, overweight, and abdominal obesity were significantly linked to hypertriglyceridemia (p < 0.05). CONCLUSION: Dyslipidemia was high among the study participants. Overweight, obesity, central adiposity, and high blood pressure were significantly associated with dyslipidemia in cardiac patients. This alarms the need for lipid profile assessment for patients periodically, with treatment follow-up to monitor any rising patterns and cardiovascular-related risks.

Assessment of Electrolyte Imbalance and Associated Factors Among Adult Diabetic Patients Attending the University of Gondar Comprehensive Specialized Hospital, Ethiopia: A Comparative Cross-Sectional Study.

Introduction: Electrolyte imbalance refers to altered electrolyte levels that predominantly affect diabetic patients due to hyperglycemia which rise plasma osmolality and impaired renal function, contributing to a change in electrolyte level. Therefore, this study aimed to assess the prevalence of electrolyte imbalance and its associated factors among diabetic patients and healthy control groups attending the University of Gondar Comprehensive Specialized Hospital. Patients and Methods: A comparative cross-sectional study was conducted on 130 diabetic patients and 130 diabetes-free controls. Sociodemographic, behavioral and clinical data were collected using a structured questionnaire. After measuring anthropometric parameters, 5mL of the blood sample was collected. Electrolytes were measured based on ion-selective electrode methods. Fasting blood glucose, and creatinine were measured by spectrophotometric enzyme hexokinase, and Jaffe reaction methods, respectively. The data was entered into Epi-data version 4.6 and analyzed using STATA version 14. Mann-Whitney U-tests and independent t-tests were used for comparison. Multiple logistic regression analysis was done to determine the factors associated with electrolyte imbalances. P-value <0.05 was considered statistically significant. Result: The overall prevalence of electrolyte imbalance among diabetic patients and controls were 83.07% and 52.31%, respectively. The mean of Na+ and the median level of Mg2+ and Ca2+ were significantly decreased. However, the mean level of Cl- was significantly increased in diabetic patients as compared to control groups. In multivariable logistic regression: alcohol consumption AOR = 3.34 [1.02-10.9], no formal education AOR = 5.38 [1.14-25.4], hyperglycemia AOR = 6.32 [2.04-19.5], and urbanization AOR = 5.6 [1.44-22.3] showed significant association with electrolyte imbalance. Conclusion: Diabetic patients have more likely to develop electrolyte imbalance than control groups. Diabetic participants showed significantly reduced Na+, Mg2+, and Ca2+ levels and significantly increasing CI- levels when compared to control groups. Hyperglycemia, alcohol drinking habits, urbanization, and no-formal education were statistically significantly associated with electrolyte imbalance.

Dyslipidemia and Its Associated Factors Among Helicobacter pylori-Infected Patients Attending at University of Gondar Comprehensive Specialized Hospital, Gondar, North-West Ethiopia: A Comparative Cross-Sectional Study.

Background: Dyslipidemia refers to a lipid profile disturbance due to decreased high-density lipoprotein cholesterol and elevated low-density lipoprotein cholesterol, triglycerides, and total cholesterol. Helicobacter pylori infection can lead to some appetite-related disorders that may cause deregulated absorption of nutrients in the digestive system, contributing to changes in serum lipids. The purpose of this study is to assess dyslipidemia and its associated factors among H. pylori-infected patients attending at University of Gondar Comprehensive Specialized Hospital. Methods: A comparative cross-sectional study was conducted on 231 H. pylori-positive and control groups, which were included by the convenience sampling technique from March to May 2021 at University of Gondar Specialized Hospital. Sociodemographic and behavioral characteristic data were collected using a pretested questionnaire, and 5mL of venous blood were used to determine the lipid profiles using DxC 700 AU chemistry analyzer. The data were analyzed using SPSS version 25. Mann-Whitney U-test and multivariable logistic regression were applied, and P-value <0.05 is considered statistically significant. Results: The magnitude of dyslipidemia among H. pylori-infected patients was 71.8% (95% CI: 62.7-79.7). There was a statistically significant difference in lipid profiles between H. pylori-infected patients and control groups. The median (IQR) of lipid profiles in H. pylori-infected patients and control groups were for low-density lipoprotein: 108 (89.8, 145.5) vs 95 (79.45, 115.8, P<0.001), for triglycerides: 93 (65,117) vs 83 (58.5, 102, P=0.031), and cholesterol: 143 (119.5, 169,) vs 125 (110,143, P<0.001) mg/dl, respectively. Helicobacter pylori infection, alcohol drinking, unable to read and write, primary school, and secondary school were a significant associated variables with dyslipidemia (P<0.05). Conclusion: There was a median lipid profile statistically significant difference between H. pylori-positive and control groups. Helicobacter pylori infection, educational status, and alcohol drinking habit had statistically significant association with dyslipidemia.

The Prevalence of Malaria among Children in Ethiopia: A Systematic Review and Meta-Analysis.

BACKGROUND: Malaria is one of the most public health important and life-threatening parasitic infections caused by the protozoan parasite. Since children are immunologically naive to the malaria parasite, they are the main vulnerable groups. During malaria infection, they might have a complication of anemia, cerebral malaria, coma, respiratory distress, and a decrease in cognitive and behavioral improvement. Therefore, this review was aimed at determining the pooled prevalence of malaria among children in Ethiopia. METHODS: The current systematic review and meta-analysis were conducted based on the guideline of Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement guideline. Electronic bibliographic databases such as Google Scholar, PubMed, and Science Direct were used for searching relevant literature. Besides, the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for critical appraisal of studies. Using the STATA 14 software, the pooled Meta logistic regression was computed to present the pooled prevalence with a 95% confidence interval (CI). RESULT: The overall estimated pooled prevalence of malaria among children in Ethiopia was 9.07 (95% CI: 6.32, 11.82). Subgroup analysis based on malaria signs and symptoms showed that the pooled prevalence of malaria among asymptomatic and symptomatic children was 6.67% (95% CI: 0.36, 12.98) and 27.17% (95% CI: 18.59, 35.76), respectively. CONCLUSION: The findings revealed a high prevalence of malaria among children in Ethiopia. As a result, still there is a need of improving and rechecking the existing malaria prevention and control measures of the country.

Total Clinical Chemistry Laboratory Errors and Evaluation of the Analytical Quality Control Using Sigma Metric for Routine Clinical Chemistry Tests.

BACKGROUND: Currently, the use of clinical laboratory tests is growing at a promising rate and about 80% of the clinical decisions made are based on the laboratory test results. Therefore, it is a major task to achieve quality service. This study was conducted to assess the magnitude of errors in the total testing process of Clinical Chemistry Laboratory and to evaluate analytical quality control using sigma metrics. METHODS: A cross-sectional study was conducted at Dessie Comprehensive Specialized Hospital Clinical Chemistry Laboratory, Northeast Ethiopia, from 10 February 2020 to 10 June 2020. All Clinical Chemistry Laboratory test requests with their respective samples, external quality control and all daily internal quality control data during the study period were included in the study. Data were collected using a prepared checklist and analyzed using SPSS version 21. RESULTS: A total of 4719 blood samples with their test requests were included in the study. Out of 145,383 quality indicators, an error rate of 22,301 (15.3%) was identified in the total testing process. Of the total errors, 76.3% were pre-analytical, 2.1% were analytical and 21.6% were post-analytical errors (p<0.0001). Of the total 14 analytes in the sigma metric evaluation, except ALP, all routine clinical chemistry tests were below the standard (<3). In multivariate logistic regression, the location of patients in the inpatient department was significantly associated with the specimen rejection ((AOR=1.837, 95% CI (1.288-2.618), p=0.001). CONCLUSION: The study found a higher frequency of errors in the total testing process in the Clinical Chemistry Laboratory and almost all test parameters had an unsatisfactory sigma metric value.

Extra-Analytical Clinical Laboratory Errors in Africa: A Systematic Review and Meta-Analysis.

BACKGROUND: Clinical laboratory testing is a highly complex process involving a different procedure. Laboratory errors may occur at any stage of the test process, but most errors occur during extra-analytical phases. The magnitude of clinical laboratory errors, in particular extra-analytical errors, was inconsistent in different studies. METHODS: A systematic review and meta-analysis were conducted based on the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. The extracted data were entered into a Microsoft Excel spreadsheet and transferred to STATA version 11 for the analysis. Random effect model was used to estimate pooled prevalence of extra-clinical laboratory errors and I2 statistic was used to assess heterogeneity between the studies. Funnel plot analysis and Egger weighted regression test were performed to detect the publication bias. Egger weighted regression test with P-value <0.05 was considered to be a statistically significant publication bias. RESULTS: A total of 1,381 studies were searched, 19 were included in this systematic review and meta-analysis. A total of 621,507 pre-analytical and 51,859 post-analytical outcomes of quality indicators were reported. A total of 145,515 samples were assessed for rejection and 62,513 laboratory requests were evaluated for incompleteness. The pooled prevalence of pre-analytical and post-analytical errors in Africa was 17.5% (95% Cl: 11.55, 23.45) and 10.99% (95% Cl: 5.30, 16.67) respectively. The pooled prevalence of specimen rejection and laboratory request forms incompleteness in Africa was 2.0% (95% Cl: 0.86, 3.14) and 7.55% (95% Cl: 2.30, 12.80) respectively. CONCLUSION: The study found high prevalence of pre- and of post-analytical clinical laboratory errors in Africa. In addition, the study showed that the standard completion of the laboratory request forms was poor and there were significant numbers of specimen rejections. Therefore, clinical laboratories should ensure compliance with standard operating procedures, the laboratory information system, the cooperation of the entire staff and the targeted training of sample collectors.

The Prevalence of Metabolic Syndrome in Ethiopian Population: A Systematic Review and Meta-analysis.

Background: The metabolic syndrome is a clustering of hyperglycemia/insulin resistance, hypertension, dyslipidemia, and obesity which are risk factors for cardiovascular disease, type 2 diabetes and stroke, and all-cause mortality. The burden of metabolic syndrome is emerging alarmingly in low- and middle-income countries such as Ethiopia; however, there is lack of comprehensive estimation. This study aimed to determine the pooled prevalence of metabolic syndrome in Ethiopia. Methods: This systematic review and meta-analysis included original articles of observational studies published in the English language. Searches were carried out in PubMed, Google Scholar, and Africa Journals from conception to August 2020. A random-effects model was used to estimate the pooled prevalence of metabolic syndrome in Ethiopia. Heterogeneity was assessed using the I 2 statistic. Subgroup analysis was also conducted based on sex/gender and study subjects. Egger's test was used to assess publication bias. Results: Electronic and gray literature search retrieved 942 potentially relevant papers. After removing duplicates and screening with eligibility criteria, twenty-eight cross-sectional studies were included in this meta-analysis. The pooled prevalence of metabolic syndrome in Ethiopia was found to be 34.89% (95% CI: 26.77, 43.01) and 27.92% (95% CI: 21.32, 34.51) by using NCEP/ATP III and IDF criteria, respectively. The weighted pooled prevalence of metabolic syndrome was higher in females 36.74% (95% CI: 20.72, 52.75) and 34.09% (95% CI: 26.68, 41.50) compared to males 22.22% (95% CI: 14.89, 29.56) and 24.82% (95% CI: 18.34, 31.31) by using IDF and NCEP/ATP III criteria, respectively. Subgroup analysis based on the study subjects using NCEP/ATP III showed that the weighted pooled prevalence was 63.78%(95% CI: 56.17, 71.40), 44.55% (95% CI: 30.71, 52.38), 23.09% (95% CI: 19.74, 26.45), 20.83% (95% CI: 18.64, 23.01), and 18.45% (95% CI: 13.89, 23.01) among type 2 diabetes patients, hypertensive patients, psychiatric patients, HIV patients on HAART, and working adults, respectively. The most frequent metabolic syndrome components were low HDL-C 51.0% (95% CI: 42.4, 59.7) and hypertriglyceridemia 39.7% (95% CI: 32.8, 46.6). Conclusions: The findings revealed an emerging high prevalence of metabolic syndrome in Ethiopia. Therefore, early intervention is required for the primary prevention of the occurrence of metabolic syndrome and the further reduction of the morbidity and mortality related to it.

Effectiveness of directly observed treatment short course (DOTS) on treatment of tuberculosis patients in public health facilities of Debre Tabor Town, Ethiopia: retrospective study.

OBJECTIVE: The objective of this study is to assess effectiveness of directly observed treatment short course (DOTS) in treatment of tuberculosis (TB) patients in all public health facilities of Debre Tabor town, Ethiopia from January 2016 to December 2017. RESULT: Among 354 TB patients, 53.1% were males. Furthermore 22.6%, 40.4%, and 37% were smear positive pulmonary, smear negative pulmonary and extra pulmonary TB respectively. Study also revealed that TB-human immunodeficiency virus (HIV) co-infection and overall TB treatment success rate were 18.1% and 90.7% respectively. Regular weigh follow-up, sputum follow-up and HIV status were significantly associated with treatment success with P-value < 0.001, < 0.001 and 0.334 respectively. But TB treatment success weren't associated with sex (P = 8.62), health facility type (P = 0.749) and TB type (P = 0.778). The study also showed that the overall TB treatment success rate was in line with World Health Organization (WHO) target on treatment success rate. Furthermore the study indicated higher TB-HIV co-infection and variations in conducting regular weight and sputum follow-up among HFs.

Prevalence of Diabetes Mellitus, Prediabetes and Its Associated Factors in Dessie Town, Northeast Ethiopia: A Community-Based Study.

BACKGROUND: Diabetes mellitus is becoming an epidemic public health problem in developing countries such as Ethiopia. As the International Diabetes Federation indicates, the number of adults living with diabetes globally has been increasing from time to time. If early screening and follow-up are done, diabetes is a manageable disease. However, diabetes study at the community level in Ethiopia is limited and scarce. Therefore, the present study was conducted to assess the current prevalence of DM, prediabetes and its associated factors in Dessie Town, Northeast Ethiopia. METHODS: A community-based cross-sectional study was conducted from January to March 2019 among people aged 18 years and above in Dessie Town, Northeast Ethiopia. A multistage sampling technique was used to select a total of 587 study participants. Sociodemographic and behavioral characteristic data were collected using a pretested semi-structured questionnaire. Venous blood samples were used to determine the level of blood glucose and lipid profile. Diagnosis and classification of diabetes mellitus and prediabetes were based on the criteria of the American Diabetes Association. RESULTS: The prevalence of diabetes mellitus and prediabetes was 6.8% (95% CI 4.9-9.0) and 15.7% (95% CI 12.9-18.7), respectively. The prevalence of previously undiagnosed diabetes mellitus was 72.5%. Positive family history of diabetes mellitus (AOR: 20.24, 95% CI 4.74-86.43), smoking habit (AOR: 12.12, 95% CI 2.30-63.73), overweight (AOR: 21.95, 95% CI 6.73-71.603), systolic hypertension (AOR: 4.61, 95% CI 1.09-19.50) and hypercholesterolemia (AOR: 8.97, 95% CI 2.05-39.23) were significantly associated with diabetes mellitus. Prediabetes was associated with advanced age (AOR: 3.55, 95% CI 1.16-10.79), marital status (single) (AOR: 3.06, 95% CI 1.40-6.67), educational status (illiterate) (AOR: 2.35, 95% CI 1.04-5.35) and overweight (AOR: 2.11, 95% CI 1.05-4.23). CONCLUSION: There was a higher prevalence of diabetes mellitus and prediabetes. In addition, the prevalence of undiagnosed diabetes mellitus was high in our study area. Therefore, targeting the control and prevention strategy to such modifiable risk factors associated with diabetes and prediabetes may contribute to the reduction of the prevalence and further complications of diabetes mellitus.

Errors in the Total Testing Process in the Clinical Chemistry Laboratory at the University of Gondar Hospital, Northwest Ethiopia.

BACKGROUND: Laboratory services have been described as the major processes contributing to safe patient care in the modern healthcare sector. However, occurrences of errors in the overall testing processes impair the clinical decision-making process. Such errors are supposed to be high in resource-poor countries, like Ethiopia. The objective of this study was to assess errors in the total testing process in the Clinical Chemistry laboratory of the University of Gondar Hospital, Northwest Ethiopia. METHODS: A cross-sectional study was conducted at the University of Gondar Hospital from February to March 2016. All the required data were collected using established quality indicators. Data were analyzed using SPSS version 20. Frequencies and cross-tabulations were used to summarize descriptive statistics. RESULTS: A total of 3259 samples and corresponding laboratory request forms were received for analysis. The analysis of the overall distribution of errors revealed that 89.6% were pre-analytical errors, 2.6% were analytical, and 7.7% were post-analytical errors. Of the pre-analytical errors, incomplete request form filling was the most frequent error observed, followed by sample rejection rate (3.8%). Analytical errors related to internal and external quality control exceeding the target range, (14.4%) and (51.4%) respectively, were reported. Excessive turnaround time and unreported critical value cases were the major defects in the post-analytical phase of quality assurance. CONCLUSION: The present finding showed relatively high frequency of errors, which alarms the importance of quality indicators to assess errors in the total testing process. The University of Gondar Hospital laboratory should improve the quality of healthcare services based on these findings using laboratory standards.

The prevalence of impaired fasting glucose and undiagnosed diabetes mellitus and associated risk factors among adults living in a rural Koladiba town, northwest Ethiopia.

BACKGROUND: Diabetes mellitus is becoming a big public health challenge, particularly in developing countries like Ethiopia. It is a manageable disease if early screening and follow up is made. However, as studies in Ethiopia are limited and unorganized, determining the magnitude of prediabetes and diabetes and identifying associated risk factors is quite essential. METHODS: A community-based, cross-sectional study was conducted from February to April 2015 among adults (aged ≥20 years) in a rural Koladiba town. A multistage sampling technique was used to select a total of 392 study participants. Data were collected after a fully informed written consent was obtained from each participant. Demographic, behavioral, and clinical data were collected using a well-structured questionnaire. Multivariable logistic regression models were fitted to control the effect of confounders. Adjusted odds ratios (AOR) with their 95% confidence intervals (95% CI) were computed to measure associations. A p value of <0.05 was considered as statistically significant. RESULTS: The prevalence of impaired fasting glucose and undiagnosed diabetes mellitus were 12% (95% CI 9-16) and 2.3% (95% CI 1.1-4), respectively, in Koladiba. Overweight (AOR: 4.257, 95% CI 1.345-13.476), obesity (AOR: 5.26, 95% CI 1.138-24.316), hypertriglyceridemia (AOR: 2.83, 95% CI 1.451-5.521), and systolic hypertension (AOR: 3.858, 95% CI 1.62-9.189) were found to be independently associated with impaired fasting glucose. Positive family history of diabetes also showed a marginal association with impaired fasting glucose (p = 0.057). Male sex (p = 0.012) and hypertriglyceridemia (p = 0.030) were associated with undiagnosed diabetes mellitus. CONCLUSIONS: The prevalence of impaired fasting glucose and undiagnosed diabetes mellitus are found to be significant. Obesity, hypertriglyceridemia, and systolic hypertension are independently associated with impaired fasting glucose among adults. We recommend that the community be aware of healthy life style, early screening, and maintain continuous follow up.