Introduction and aim: The most accurate way of measuring kidney function in GFR. Clinical formulas based on creatinine measurement may be inaccurate mainly in elderly patients (over 80 years of age). In this study we evaluated the accuracy of commonly used clinical formulas by comparing them with a direct measurement with [99mTc]-DTPA ([99mTc]-diethylene-triamine-peracetic acid) in a population of patients aged eighty and older.Material and methods: 47 patients (27 males and 20 females) with an average age of 81.9 ± 1.7 years, 80% already diagnosed with Chronic Kidney Disease (CKD), were investigated. Two plasma samples were collected between 60-90 and 165-190 minutes after the injection of [99mTc]-DTPA and GFR were calculated. Results: When comparing the GFR values obtained from the various formulae by creatinine levels with the GFR value obtained by measuring [99mTc]-DTPA residue, the following concordance values emerged: (1) MDRD: 55.3%, (2) Cockroft-Gault 55.3% (3) CKD-EPI 57.5% (4) BIS-1 51.1%Conclusion: Our data show a poor correlation between all clinical methods and [99mTc]-DTPA, which remains a gold standard for the direct measurement of GFR.

Introduction: Diabetes mellitus and diabetic nephropathy are the most common causes of end-stage renal disease (ESRD) in developed countries, accounting for about 30% of these cases. Up to 40% of patients with type 2 diabetes with micro albumin uria progress to overt nephropathy and develop ESRD after one to two decades. Albumin uria is the most important indicator of diabetic nephropathy and its progression. Also, hyperuricemia has been suggested as a risk factor for kidney damage, this study was designed to determine the relationship between serum uric acid level and proteinuria in patients with type 2 diabetes.Materials and methods: In this descriptive-analytical and cross-sectional study, data collection was performed among patients with type 2 diabetes referred to the diabetic Center in Gorgan from the years 2015 to 2018. The data collection tool was a two-part questionnaire including demographic and anthropometric characteristics and information about the disease. Serum levels of Uric Acid, Blood Urea Nitrogen (BUN), Creatinine (Cr), Fasting Blood Sugar (FBS) and Hemoglobin A1C (HbA1C) were measured in all patients. 24-hour urine collection was performed for proteinuria, albuminuria, urinary volume, and Cr volume. Patients’ GFR was also calculated using the CKD-EPI formula. Patients were re-evaluated 1 year after the initial evaluation in terms of measured factors and the relationship between serum uric acid and albuminuria, proteinuria, kidney function, and other serum factors were evaluated.Results: Among 823 diabetic patients that were referred to the nephrology center in this study, 90 patients were included. 34 (37.8%) of these patients were men. The age range of patients was between 32 years to 70 years with a mean of 56.31 and a standard deviation of 7.84 years. According to the Pearson correlation coefficient, a direct correlation was observed between uric acid with proteinuria and creatinine levels, and an inverse correlation was observed between uric acid and GFR. But we didn’t find any correlation between uric acid and microalbuminuria.Conclusion: According to the results of this study, the relationship between uric acid level and the severity of nephropathy (based on proteinuria) is proven. It seems that maintaining serum uric acid levels in patients with type 2 diabetes within the normal range and treatment with serum uric acid-lowering drugs may be possible to reduce the progression of diabetic nephropathy and proteinuria.

Renal impairment is one of the most severe non-communicable diseases around the world. Especially patients with diagnosed/newly diagnosed renal impairment who needed surgery are more focused on preoperative and postoperative preparation. Serum creatinine is the prime biochemical marker for assessing renal function and the level of impairment is widely measured by this marker as well as Glomerular Filtration Rate (GFR). Objective: Factors responsible for fluctuating serum creatinine during preoperative and postoperative periods and minimizing the process of serum creatinine is the ultimate goal of this study. Method: 37 patients participated in this cross-sectional study who were previously diagnosed/newly diagnosed. They were admitted to different tertiary-level hospitals for emergency or elective surgery. 15 patients were admitted in the renal function impairment stage and 22 were admitted as normal patients’. Values of creatinine at the pre-admission stage and 2nd/3rd post-admission follow-up were compared. Results: 0.41 was the average of 22 patients’ creatinine between pre-admission and 2nd/3rd follow-up. The responsible factor like prolonged staying, immobilization, co-morbidities, different preoperative antibiotics and NSAIDs were also inducers for creatinine elevation. After postoperative hemodialysis rapid decrease of creatinine is seen in normal patients but this decrease is very much minor in CKD-diagnosed patients. 

Background: Chronic kidney disease is a progressive loss in renal function that is more accepted as global public health importance and its magnitude is overgrowing in the least developed countries like Ethiopia. No data was found in Debre Birhan Central Ethiopia on the magnitude of chronic kidney disease among type 2 diabetes patients. Methods: Institution-based cross-sectional study was conducted among 327 at Debre Berhan Referral Hospital from March to June 2019 in Adult (≥ 18 years) type 2 diabetes follow-up patients who volunteered to give informed written consent were included in the study. Systematic random sampling was used. Data were collected by interviews using structured and pre-tested questionnaires. Descriptive statistics of the continuous and categorical variables were done. The bi-variable and multivariable logistic regression was done to show the net effect of explanatory variables on chronic renal disease. Results: A total of 327 study participants were involved in the final analysis. The Prevalence of CKD among type 2 diabetic patients was 15.9%. A significant association was found with age > 60 years [AOR 3.5 (95% CI 1.8-6.8)], alcoholic patients [AOR 2.4 (95% CI 1.2-5.1)], glycated hemoglobin levels above 7% [AOR 2.5 (95 CI 1.5-4.1)], higher level of LDL greater than 100 g/dl [AOR 2.7 (95% CI 1.9-4)] and lower level of HDL [AOR 2.9 (95% CI 1.4-6)].Conclusion: The magnitude of chronic kidney disease among type 2 diabetic follow-up patients was 15.9%. Estimated GFR should be determined for diabetic patients at regular intervals of time for earlier diagnosis of chronic kidney disease.

Background/Aim: There has been a progressive rise in the incidence and prevalence of End Stage Renal Disease (ESRD). It has also been observed that the most important reasons for a rapid increase in Chronic Kidney Disease (CKD) patients are the rapidly increasing worldwide incidence of diabetes and hypertension. The present study evaluates the effect of diabetes, hypertension, and comorbid state of hypertension and diabetes (hypertensive-diabetic) on renal function using serum creatinine and urea as markers. Method: A total number of 120 persons were recruited for the research; 30 controls, 30 hypertensive, 30 diabetic, and 30 hypertensive-diabetic persons. Of the 30 control persons, 18 were females and 12 were males; of the 30 hypertensive subjects, 17 were females and 13 were males; of the 30 diabetics subjects, 20 were females and 10 were males, whereas of the 30 hypertensive-diabetic subjects, 21 were females and 9 were males. In total, there were seventy-six (76) females and 44 males. The respondents were pulled from Central Hospital (Auchi) Diabetic and General Clinic and Auchi Polytechnic Cottage Hospital. Verbal consent was sort and questionnaires were used to extract information regarding biodata and patients’ history of diabetes and hypertension. Height and weight were measured, and blood pressure was determined taken. Blood samples were collected into fluoride oxalate and lithium heparin bottle for the assessment of FBS and (serum urea and creatinine) respectively. Results: The mean (±SD) serum creatinine was higher in the hypertensive-diabetic group (2.08 ± 1.06) and declined as follows: diabetic group (1.75 ± 1.01), hypertensive group (1.34 ± 0.96) and control group (0.70 ± 0.14). The mean (±SD) serum urea was also found to be higher in the hypertensive-diabetic group (17.5 ± 9.06) and declined as follows: diabetic group (14.5 ± 6.13), hypertensive group (12.7 ± 6.23) and control group (7.18 ± 5.06). There was a positive correlation between serum creatinine and fasting blood sugar The study also established a positive correlation between serum creatinine and blood pressure but not between serum urea and blood pressure with r values of 0.31 and 0.16 respectively. Conclusion: Good control of blood glucose and blood pressure levels reduces the likelihood of the development of renal impairment which is usually associated with both diabetes and hypertension. Co-morbidity of diabetes and hypertension poses a higher risk of developing renal disease than individual problems of diabetes and hypertension. Serum creatinine and serum urea are important biomarkers for renal impairment hence the two should be monitored on a regular basis for diabetic and hypertensive patients and much more frequently for hypertensive-diabetic patients.

Cognitive impairment (CI) can be defined as a clinical syndrome characterized by a decline in at least two of several domains of cognitive function. Chronic kidney disease (CKD) is an independent risk factor for cognitive decline, and the prevalence in patients with end-stage renal disease is estimated at 50% - 80%. However, it appears that CI in patients on renal replacement therapy (RRT) may be underdiagnosed. In this cross-sectional study, 33 patients on Peritoneal Dialysis from the AOU Federico II were recruited, and matched by sex, age, and dialysis age to 33 patients on Hemodialysis and 33 controls belonging to healthy volunteers. The total 66 patients and their 33 controls were assessed for cognitive function using the Cognitive Reserve Index Questionnaire (CRIq) test. Between PD and HD patients, a statistically significant difference emerged in all subscores and in the total CRI. Between PD patients and controls, a statistically significant difference emerged in education, CRI- CRI-leisure time, and the total CRI. Therefore, CI may occur in patients undergoing PD earlier and with a greater frequency than in the general population, but with a lower incidence than in patients on HD. These considerations should be communicated to patients when they are educated about different replacement methods.

Background: Acute Myocardial Infarction (AMI) results in a reduction in patients’ life expectancy. Different risk factors affect the risk of Major Adverse Cardiac Events (MACE). Although the role of kidney dysfunction in patients with Chronic Kidney Disease (CKD) in cardiac events has been identified, many patients with AMI are unaware of their underlying kidney disease. This study aimed to compare the incidence of adverse cardiovascular events and identify predictors of major adverse cardiovascular events in the medium term among patients with and without renal dysfunction following AMI. Methods: This retrospective cohort study was conducted on 1039 patients who were hospitalized for Acute Myocardial Infarction (AMI) between 2018 and 2019. The patient cohort comprised 314 women (mean age: 69.8 ± 13.2 years) and 725 men (mean age: 60.5 ± 13.8 years). Patient data were obtained from the registry of patients with acute myocardial infarction and the participants were followed up for a minimum of one year following hospital discharge to assess the incidence of MACE.Results: The study found that patients with a Glomerular Filtration Rate (GFR) level below 60 had a significantly higher mortality rate than those with a GFR level of 60 or above (15.7% vs. 3.5%,p < 0.0001). The multivariate analysis showed that Diabetes Mellitus (DM), GFR, and Non-ST Elevation Myocardial Infarction (NSTEMI) are significant risk factors for cardiovascular events. (p = 0.016, p = 0.015, p = 0.006 respectively), while variables such as sex, age, and Hypertension (HTN) were not significant risk factors. There was a negative correlation between GFR and death (0.241 - = r, p < 0.0001)Conclusion: This study highlights the importance of detecting kidney disease during an AMI and managing risk factors for cardiovascular disease to improve health outcomes and reduce the risk of mortality.

Background: Long-term care for patients with chronic kidney disease, whether in the pre or post-dialysis period, has a destructive impact on patients and their caregivers that can significantly worsen their quality of life. Objectives: To assess the quality of life (QOL) among caregivers of children suffering from chronic kidney disease and to identify the possible factors affecting their quality of life. Subjects and methods: Between March 2023 and May 2023, a cross-sectional questionnaire-based study was conducted at King Saud Medical City for caregivers of all pediatric patients aged from 6 months to 14 years with CKD stage-3B and beyond who have been followed up for at least three months in the pre or post-dialysis period since 2015. The study applied the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) to evaluate the caregivers’ quality of life. Result: A total of 95 caregivers were involved in the study. The age ranged between 24 and 53 years, with an arithmetic mean of 39.3 and a standard deviation of (± 6.6) years, and almost two-thirds (65.3%) were Saudi nationals. Most pediatric patients were on peritoneal renal dialysis (41%), whereas 29.5% were on hemodialysis. The mean and SD of the overall score was 56.10 ± 17.40 out of a possible range of 0-100. Regarding its domains, the highest score was observed regarding the social domain (62.11 ± 21.12), whereas the lowest was the physical domain (49.55 ± 18.42). After controlling for confounding, married, high socio-economic, and more educated caregivers have higher QOL scores than singles, low socio-economic, and lower knowledgeable caregivers, and the three factors together were responsible for approximately 41% variability of the QOL score (r – square = 0.406). Bivariate Pearson correlation showed significant correlations among different quality-of-life domains (p < 0.001). Conclusion: There was a significant association between quality-of-life scores and demographic characteristics of chronic kidney disease caregivers; they need the highest support to cope with their delicate patients. 

The global impact of the COVID-19 pandemic on mental health and substance use behaviors has sparked extensive research efforts. The COMET-G international study, organized by the Department of Medicine and the Rectorate of the Aristotle University of Thessaloniki in collaboration with the World Psychiatric Association, delved into these issues. Running from March 2020 to April 2021, the study collected responses from 55,589 individuals across 40 countries. Through a comprehensive questionnaire, participants provided insights into their mental state, attitudes toward the pandemic, and the resultant changes in their personal and daily lives. Findings revealed, among other things, significant patterns of change in substance use, with notable correlations between reduced usage and the severity of lockdown measures among non-binary individuals. Mental health history emerged as a strong predictor of substance use changes, with influences from anxiety disorders, depression, and self-harm. Additionally, family and social dynamics, including economic expectations and household composition, significantly shaped substance use behaviors during lockdowns. Given these findings, the development of comprehensive approaches targeting the adverse effects of the pandemic on individual behaviors and general welfare is crucial.