Diabetic nephropathy and hypertension in diabetes patients of sub-Saharan countries: a systematic review and meta-analysis

Epidemiological trends in diabetic renal complications in United States adults: A center for disease control and prevention wide-ranging online data for epidemiologic research analysis (1999-2020)

BACKGROUND

Renal complications of diabetes mellitus pose a significant public health challenge, contributing to substantial morbidity and mortality globally. Understanding temporal trends and regional disparities in mortality related to diabetic nephropathy is crucial for guiding targeted interventions and policy decisions.

AIM

To display the trends and disparities of diabetic nephropathy related mortality.

METHODS

A retrospective analysis was conducted using death certificate data from the center for disease control and prevention (CDC) wide-ranging online data for epidemiologic research analysis (WONDER) database, spanning from 1999 to 2020, to investigate mortality related to renal complications of diabetes in adults aged 35 or above. Age-adjusted mortality rate (AAMR) per 100000 persons and annual percent change (APC) were computed, with stratification by year, sex, race/ethnicity, and geographic region.

RESULTS

Between 1999 and 2020, a total of 525804 deaths occurred among adults aged 35 to 85+ years due to renal-related issues associated with diabetes. AAMR for renal-related deaths in adult diabetic patients showed a consistent increase from 1.6 in 1999 to 34.9 in 2020 (average APC [AAPC]: 17.23; 95% confidence interval [CI]: 13.35-28.79). Throughout the study period, men consistently had higher AAMR (overall AAMR for men: 17.8; 95%CI: 17.7-17.9). In 1999, the AAMR for men was 1.8, increasing to 44.2 by 2020 (AAPC: 17.54; 95%CI: 13.09-29.53), while for women, it was 1.6 in 1999 and rose to 27.6 by 2020 (AAPC: 15.55; 95%CI: 13.35-21.10). American Indian/Alaska Native adults exhibited the highest overall AAMR (36.1; 95%CI: 35.2-36.9), followed by Black/African American (25.5; 95%CI: 25.3-25.7). The highest mortality was observed in the Western (AAMR: 16.6; 95%CI: 16.5-16.7), followed by the Midwestern region (AAMR: 14.4; 95%CI: 14.314.4). Significant variations in AAMR were observed among different states, with Oklahoma recording the highest (21.2) and Connecticut the lowest (7). The CDC WONDER database could potentially have omissions or inaccuracies. It does not provide data outside of the available variables. Furthermore, dataset after 2020 was not included in this study.

CONCLUSION

Our findings highlight an alarming rise in mortality related to renal complications of diabetes among United States adults over the past two decades, with concerning disparities across demographic and geographic factors. These results underscore the urgent need for targeted interventions, policies, and protocols to address the growing burden of diabetic nephropathy and substantially reduce mortality rates in the United States. This will help improve the overall health outcome in the United States by identifying communities at risk and implementing tailored assistance to them.

Assessment of chronic kidney disease and associated factors at Wolkite University Specialized Hospital: A cross-sectional study

BACKGROUND

Kidney is the vital organ that plays a great role in maintaining an optimal internal environment. The normal kidney function can be altered by physical injury or disease. Currently, chronic kidney disease (CKD) is an increasing major health problem worldwide. In 2017, it was ranked as the 12^th leading cause of death and is expected to rise to the 5^th ranked cause of death by 2040. Therefore, early detection, increasing patients' awareness and treatment of CKD are required to hold the problem. However, despite its higher prevalence of hospitalized morbidity and mortality, little is known about the magnitude and associated factor of CKD in the Ethiopian context. Hence this study aimed to determine the magnitude of CKD and associated factors at Wolkite University Specialized Hospital (WKUSTH), South West Ethiopia.

AIM

To determine the magnitude, and associated factors of CKD in WKUSTH, Ethiopia.

METHODS

Institutional based cross-sectional study with secondary data was conducted from November 15, 2021 to February 28, 2022 at WKUSTH. Three hundred forty five (345) participants were selected by a convenient sampling technique. Creatinine and urea were measured using cobas311 fully automated chemistry analyzer and estimated glomerular filtration rate (eGFR) was calculated using CKD epidemiology collaboration formula. Socio-demographic and clinical data were collected by using a pretested questionnaire. Data were coded and entered into EpiData 3.1 version and exported to STATA version 14 for analysis. Bivariate analysis was used to screen candidate variables for multivariate analysis. In the multivariate analysis a P value < 0.05 were considered statistically significant.

RESULTS

The magnitude of CKD by impaired eGFR were 54 (15.7%) (95%CI: 0.116-0.194). In multivariable analysis, older age [adjusted odds ratio (AOR) = 5.91, 95%CI: 2.41-14.47)], hypertension (AOR =10.41, 95%CI: 4.55-23.81), diabetes mellitus (AOR = 5.90, 95%CI: 2.14-16.23), high body mass index (AOR = 3.0, 95%CI: 1.30-7.27), and anemia (AOR = 2.94, 95%CI: 1.26-6.88) were independently associated with CKD.

CONCLUSION

The magnitude of CKD among adult patients admitted to WKUSTH was high. Hence, researchers need to do a population-based study and longitudinal study on the magnitude of CKD, associated factors. Estimation of GFR for all hospitalized patients might help to early detection of CKD and prevent complications.

Association between serum spexin levels and diabetic nephropathy in patients with type 2 diabetes: a cross-sectional study

BACKGROUND

Diabetic nephropathy (DN) is a serious complication of diabetes, with a high prevalence ranging from 21.8% in China, 35.3% in African countries, and an overall prevalence of 20-40% worldwide. This study investigated serum spexin levels in patients with type 2 diabetes, comparing those with and without DN, and explored its association with metabolic parameters.

METHODS

This cross-sectional study was conducted among patients with type-2 diabetes according to ADA guidelines. After obtaining informed consent, urine albumin-to-creatinine-ratio (ACR) was determined and patients were categorized into two groups: with-nephropathy (ACR ≥ 30) and without-nephropathy (ACR < 30). The correlation between spexin and demographic, anthropometric, and biochemical variables was further determined. Logistic regression analysis was used to assess the relationship between spexin and the likelihood of DN. Receiver Operating Characteristic (ROC) curve analysis determined the optimal serum spexin cutoff for distinguishing between groups.

RESULTS

A total of 97 diabetic individuals (33 with DN, 64 without) participated in the study. Serum spexin was significantly lower in patients with DN compared to those without DN (p < 0.001). Spexin concentrations showed an inverse correlation with LDL and ACR levels. Lower spexin levels were associated with a reduced likelihood of DN (OR 0.46, 95% CI 0.31-0.69; p < 0.001). ROC curve analysis identified a cutoff value of 81.10 ng/ml, with an area under the curve of 0.986, demonstrating 95.3% sensitivity and 94.1% specificity for diagnosing DN.

CONCLUSION

Lower serum spexin levels are associated with impaired kidney function, indicating its potential as a predictive biomarker for diabetic nephropathy. However, further validation in larger and more diverse cohorts is needed to address limitations such as sample size and unmeasured confounders.

Comprehending the Role of Metabolic and Hemodynamic Factors Alongside Different Signaling Pathways in the Pathogenesis of Diabetic Nephropathy

Diabetic nephropathy (DN) is a progressive microvascular disorder of diabetes that contributes as a primary reason for end-stage renal disease worldwide. The pathological hallmarks of DN include diffuse mesangial expansion, thicker basement membrane of glomeruli, and arteriole hyalinosis. Hypertension and chronic hyperglycemia are the primary risk factors contributing to the occurrence of DN. The complex pathophysiology of DN involves the interplay amongst metabolic and hemodynamic pathways, growth factors and cytokines production, oxidative stress, and ultimately impaired kidney function. Hyperglycemia-induced vascular dysfunction is the main pathological mechanism that initiates DN. However, several other pathogenic mechanisms, such as oxidative stress, inflammatory cell infiltration, and fibrosis, contribute to disease progression. Different vasoactive hormone processes, including endothelin and renin-angiotensin, are activated as a part of the pathophysiology of DN, which also involves increased intraglomerular and systemic pressure. The pathophysiology of DN will continue to be better understood because of recent developments in genomics and molecular biology, but attempts to develop a comprehensive theory that explains all existing cellular and biochemical pathways have been thwarted by the disease's multifactorial nature. This review extensively discusses the current understanding regarding the metabolic and hemodynamic pathological mechanisms, along with other signaling pathways and molecules responsible for the pathogenesis of DN. This work will encourage a greater in-depth understanding and investigation of the present status of the biochemical mechanistic processes underlying the pathogenesis of DN, which may assist in the determination of different biomarkers and help in the design and development of novel drug candidates in the near future.

Prevalence of microvascular complications and associated factors among diabetes mellitus patients in Ethiopia: Systematic review and meta-analysis

BACKGROUND

Diabetes mellitus (DM) is a metabolic abnormality affecting 537 million people worldwide. Poor glycemic control, longer duration, and poor medication adherence increased the risk of DM complications. Comprehensive evidence on the pooled prevalence of microvascular complications in DM patients in Ethiopia is not available. Furthermore, individual study findings for the prevalence of microvascular complications in DM patients, and associated factors were not consistent.

OBJECTIVE

This systemic review and meta-analysis aimed to assess the pooled prevalence of microvascular complications in DM patients, and its associated risk factors in Ethiopia.

METHODS

Systematic search on Scopus, PubMed, Science Direct electronic database, Google Scholar search engine, and library registration was used to identify relevant studies following reviews and meta-analysis guidelines. Microsoft Excel spreadsheets were used to extract data, and Extracted data was analyzed using STATA software version 17.0. A Sensitivity analysis was conducted to assess the role of each study in the final result and the presence of publication bias was assessed by Egger's test. Heterogeneity across studies was checked by Cochran's Q statistic and I2 statistics and significant heterogeneity was assessed using subgroup analysis.

RESULTS

The pooled prevalence of microvascular complications in DM patients was 32.89 % (95 % CI: 28.17-37.60). In addition, the pooled prevalence of retinopathy, neuropathy, and nephropathy in DM patients was 17.16 % (95 % CI: 12-22 %), 10.49 % (95 % CI: 8-13 %) and 11.52 % (95 % CI: 9-15 %) respectively. Age >60 years old (AOR = 1.08 (95%CI = 1.02-1.15), longer duration of DM (AOR = 1.57 (95 % CI = 1.31-1.84), poor glycemic control (AOR = 2.21 (95 % CI = 1.52-2.91), poor adherence to diabetic medications (AOR = 3.61 (95 % CI = 1.83-5.38) and presence of hypertension (AOR = 2.26 (95 % CI = 1.73-2.80) ware associated risk factors for microvascular complications in DM patients.

CONCUSSION

Around one-third of DM patients had one or more microvascular complications. Patients with advanced age, longer duration of DM, poor glycemic control, poor medication adherence, and comorbidity like hypertension should be targeted to tackle the occurrence and severity of microvascular complications in DM patients.

PROTOCOL REGISTRATION

The review protocol was developed and was registered with PROSPERO registration number (CRD42023486459).

Association of Kidney Function With 10-Year Risk of Atherosclerotic Cardiovascular Disease, Cardiovascular Disease and Its Risk Factors Among Women With Type 2 Diabetes Mellitus

Purpose

Women are at increased risk of developing kidney disease and cardiovascular disease (CVD) in their middle and older ages due to the impact of aging and hormonal variation associated with menopause transition. Women with diabetes are at greater risk of reduced kidney function. Reduced or even mildly reduced kidney function enhances the risk of developing atherosclerotic cardiovascular disease (ASCVD) among women with type 2 diabetes (T2D). Thus, the objective of this study is to determine the association of reduced or mildly reduced kidney function with an estimated 10-year risk of ASCVD, CVD, and cardiovascular risk factors among T2D women.

Patients and Methods

This cross-sectional study is conducted among 393 T2D women, aged between 40-70 years, subdivided into three groups according to the level of estimated glomerular filtration rate (eGFR) (eGFR ≥90 mL/min/1.73m2(normal), eGFR 60-89 mL/min/1.73m2 (mildly reduced) and eGFR <60 mL/min/1.73m2 (reduced)). Association of kidney function with an estimated 10-year risk of ASCVD as well as cardiovascular disease was determined.

Results

Based on the current study findings, the presence of cardiovascular disease was found to be associated with mildly reduced (p=0.014) and reduced eGFR (p=0.004) among T2D participants with previous CVD. No association was found between mildly reduced or reduced eGFR with an estimated 10-year intermediate/high risk for ASCVD among T2D women without CVD. Even though the level of eGFR was significantly varied between pre and post-menopause T2D women, no association of kidney function with estimated 10-year ASCVD risk was observed. Among cardiovascular risk factors, the presence of hypertension was associated with mildly reduced/reduced eGFR among T2D women.

Conclusion

This study's findings highlight the graded, independent association of kidney function with cardiovascular disease among middle-aged and elderly T2D women with previous CVD, while no association with estimated 10-year risk for ASCVD among women without CVD.

Unveiling the utility of artificial intelligence for prediction, diagnosis, and progression of diabetic kidney disease: an evidence-based systematic review and meta-analysis

OBJECTIVE

The purpose of this study was to conduct a systematic investigation of the potential of artificial intelligence (AI) models in the prediction, detection of diagnostic biomarkers, and progression of diabetic kidney disease (DKD). In addition, we compared the performance of non-logistic regression (LR) machine learning (ML) models to conventional LR prediction models.

METHODS

Until January 30, 2024, a comprehensive literature review was conducted by investigating databases such as Medline (via PubMed) and Cochrane. Research that is inclusive of AI or ML models for the prediction, diagnosis, and progression of DKD was incorporated. The area under the Receiver Operating Characteristic Curve (AUROC) served as the principal outcome metric for assessing model performance. A meta-analysis was performed utilizing MedCalc statistical software to calculate pooled AUROC and assess the performance differences between LR and non-LR models.

RESULTS

A total of 57 studies were included in the meta-analysis. The pooled AUROC of AI or ML model was 0.84 (95% CI = 0.81-0.86, p < 0.0001) for analyzing prediction of DKD, 0.88 (95%CI = 0.84-0.92, p < 0.0001) for detecting diagnostic biomarkers, and 0.80 (95% CI = 0.77-0.82, p < 0.0001) for analyzing progression of DKD. The pooled AUROC of LR and non-LR ML models exhibited no significant differences across all categories (p > 0.05), except for the random forest (RF) model, which displayed a statistically significant increase in predictive accuracy compared to LR for DKD occurrence (p < 0.04).

CONCLUSION

ML models showed solid DKD prediction effectiveness, with pooled AUROC values over 0.8, suggesting good performance. These data demonstrated that non-LR and LR models perform similarly in overall CKD management, but the RF model outperforms the LR model, particularly in predicting the occurrence of DKD. These findings highlight the promise of AI technologies for better DKD management. To improve model reliability, future study should include extended follow-up periods as well as external validation.

Prevalence of nephropathy among diabetic patients in North American region: A systematic review and meta-analysis

BACKGROUND

Nephropathy is one of the most common microvascular impediments of diabetes mellitus. In this study, we aimed to estimate the prevalence of nephropathy in diabetic patients across the North American region.

METHODS

Eligible studies were screened out from 3 electronic databases, for example, PubMed, Google Scholar, and ScienceDirect using specific search keywords based on the eligibility criteria. Extracting the data from the included studies publication bias, quality assessment, outlier investigation, and meta-analysis was done followed by the subgroup analysis. A total of 11 studies met the study inclusion criteria. Meta-analysis was performed with the extracted data.

RESULTS

Pooled prevalence of 28.2% (95% confidence interval [CI]: 19.7-36.7) with a high rate of heterogeneity (I2 = 100%) was identified. The pooled prevalence of nephropathy among diabetic patients in the United States of America, Canada, and Mexico was 24.2% (95% CI: 13.8-34.5), 31.2% (95% CI: 25.8-36.5), and 31.1% (95% CI: 20.8-41.5), respectively.

CONCLUSION

The prevalence of nephropathy among diabetic patients was found lower in the United States of America as compared to Canada and Mexico. Besides, the pooled prevalence of the North American region was found to be lower as compared to the African, European, and Asian regions. Minimizing the pathogenic factors, sufficient diagnostic, healthcare facilities, and awareness are recommended to improve the situation.

Recent Advances in Biomolecular Patho-Mechanistic Pathways behind the Development and Progression of Diabetic Neuropathy

Diabetic neuropathy (DN) is a neurodegenerative disorder that is primarily characterized by distal sensory loss, reduced mobility, and foot ulcers that may potentially lead to amputation. The multifaceted etiology of DN is linked to a range of inflammatory, vascular, metabolic, and other neurodegenerative factors. Chronic inflammation, endothelial dysfunction, and oxidative stress are the three basic biological changes that contribute to the development of DN. Although our understanding of the intricacies of DN has advanced significantly over the past decade, the distinctive mechanisms underlying the condition are still poorly understood, which may be the reason behind the lack of an effective treatment and cure for DN. The present study delivers a comprehensive understanding and highlights the potential role of the several pathways and molecular mechanisms underlying the etiopathogenesis of DN. Moreover, Schwann cells and satellite glial cells, as integral factors in the pathogenesis of DN, have been enlightened. This work will motivate allied research disciplines to gain a better understanding and analysis of the current state of the biomolecular mechanisms behind the pathogenesis of DN, which will be essential to effectively address every facet of DN, from prevention to treatment.

Predictors of chronic kidney disease survival in type 2 diabetes: a 12-year retrospective cohort study utilizing estimated glomerular filtration rate

Predicting the course of kidney disease in individuals with both type 1 and type 2 diabetes mellitus (DM) is a significant clinical and policy challenge. In several regions, DM is now the leading cause of end-stage renal disease. The aim of this study to identify both modifiable and non-modifiable risk factors, along with clinical markers and coexisting conditions, that increase the likelihood of stage 3-5 chronic kidney disease (CKD) development in individuals with type 2 DM in the United Arab Emirates (UAE). This was a single-center retrospective cohort study based on data derived from electronic medical records of UAE patients with DM who were registered at outpatient clinics at Tawam Hospital in Al Ain, UAE, between January 2011 and December 2021. Type 2 DM patients aged ≥ 18 years who had serum HbA1c levels ≥ 6.5% were included in the study. Patients with type 1 DM, who had undergone permanent renal replacement therapy, who had under 1 year of follow-up, or who had missing or incomplete data were excluded from the study. Factors associated with diabetic patients developing stage 3-5 CKD were identified through Cox regression analysis and a fine and gray competing risk model to account for competing events that could potentially hinder the development of CKD. A total of 1003 patients were recruited for the study. The mean age of the study cohort at baseline was 70.6 ± 28.2 years. Several factors were found to increase the risk of developing stage 3-5 CKD: advancing age (HR 1.005, 95% CI 1.002-1.009, p = 0.026), a history of hypertension (HR 1.69, 95% CI 1.032-2.8, p = 0.037), a history of heart disease (HR 1.49, 95% CI 1.16-1.92, p = 0.002), elevated levels of serum creatinine (HR 1.006, 95% CI 1.002-1.010, p = 0.003), decreased levels of estimated glomerular filtration rate (eGFR) (HR 0.943, 95% CI, 0.938-0.947; p < 0.001), and the use of beta-blockers (HR 139, 95% CI 112-173, p = 0.003). Implementing preventative measures, initiating early interventions, and developing personalized care plans tailored to address specific risk factors are imperative for reducing the impact of CKD. Additionally, the unforeseen findings related to eGFR highlight the ongoing need for research to deepen our understanding of the complexities of kidney disease.

Additive interaction of family medical history of diabetes with hypertension on the diagnosis of diabetes among older adults in India: longitudinal ageing study in India

BACKGROUND

The present study aimed to estimate the additive interaction of family history of diabetes and hypertension on the diagnosis of diabetes among individuals aged 45 years and above in India. The coexistence of these two exposures may act synergistically on the risk of diabetes, leading to adverse health outcomes.

METHODS

The study utilized the data from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017-2018). The total sample size for the current study was 58,612 individuals aged 45 years and above. Multivariable logistic regression models were employed to determine the individual and joint effect of a family history of diabetes with hypertension on diabetes. An additive model was applied to assess the interaction effect of the family medical history of diabetes with hypertension on the diagnosis of diabetes by calculating three different measures of additive interaction such as the relative excess risk ratio (RERI), attribution proportion due to interaction (AP), and synergy index (S).

RESULTS

The prevalence of diabetes was three times higher among individuals with family history of diabetes (27.8% vs. 9.2%) than those without family history. Individuals with family history of diabetes (AOR: 2.47, CI: 2.11 2.89) had 2.47 times higher odds of having diabetes than those without family history. The prevalence of diabetes was significantly higher among individuals with hypertension and family history of diabetes (46.6%, 95% CI: 39.7-53.6) than those without the coexistence of family history of diabetes and hypertension (9.9%, 95% CI: 9.5-10.4), individuals with hypertension and without a family history of diabetes (22.7%, 95% CI: 21.2-24.2), and individuals with family history of diabetes and without hypertension (16.5%, 95% CI: 14.5-18.7). Moreover, the adjusted odds ratio (AOR) of the joint effect between family medical history of diabetes and hypertension on diabetes was 9.28 (95% CI: 7.51-11.46). In the adjusted model, the RERI, AP, and S for diabetes were 3.5 (95% CI: 1.52-5.47), 37% (0.37; 95% CI: 0.22-0.51), and 1.69 (95% CI: 1.31-2.18) respectively, which indicates that there is a significant positive interaction between family history of diabetes and hypertension on the diagnosis of diabetes. The study findings on interaction effects further demonstrate consistent results for two models of hypertension (self-reported hypertension and hypertensive individuals receiving medication) even after adjustment with potential confounding factors on diabetes (self-reported diabetes and individuals with diabetes receiving medication).

CONCLUSIONS

The study findings strongly suggest that the interaction of family history of diabetes with hypertension has a positive and significant effect on the risk of diabetes even after adjustment with potential confounding factors. Furthermore, the findings indicate a synergistic effect, emphasizing the importance of considering both family medical history of diabetes and hypertension when assessing diabetes risk and designing preventive strategies or interventions.

The therapeutic effect of mesenchymal stem cells in diabetic kidney disease

Abstract

Diabetes mellitus (DM) often causes chronic kidney damage despite best medical practices. Diabetic kidney disease (DKD) arises from a complex interaction of factors within the kidney and the whole body. Targeting specific disease-causing agents using drugs has not been effective in treating DKD. However, stem cell therapies offer a promising alternative by addressing multiple disease pathways and promoting kidney regeneration. Mesenchymal stem cells (MSCs) offer great promise due to their superior accessibility ratio from adult tissues and remarkable modes of action, such as the production of paracrine anti-inflammatory and cytoprotective substances. This review critically evaluates the development of MSC treatment for DKD as it moves closer to clinical application. Results from animal models suggest that systemic MSC infusion may positively impact DKD progression. However, few registered and completed clinical trials exist, and whether the treatments are effective in humans is still being determined. Significant knowledge gaps and research opportunities exist, including establishing the ideal source, dose, and timing of MSC delivery, better understanding of in vivo mechanisms, and developing quantitative indicators to obtain a more significant therapeutic response. This paper reviews recent literature on using MSCs in preclinical and clinical trials in DKD. Potent biomarkers related to DKD are also highlighted, which may help better understand MSCs’ action in this disease progression.

Key messages

The therapeutic effect of mesenchymal stem cells in diabetic kidney disease

Diabetes mellitus (DM) often causes chronic kidney damage despite best medical practices. Diabetic kidney disease (DKD) arises from a complex interaction of factors within the kidney and the whole body. Targeting specific disease-causing agents using drugs has not been effective in treating DKD. However, stem cell therapies offer a promising alternative by addressing multiple disease pathways and promoting kidney regeneration. Mesenchymal stem cells (MSCs) offer great promise due to their superior accessibility ratio from adult tissues and remarkable modes of action, such as the production of paracrine anti-inflammatory and cytoprotective substances. This review critically evaluates the development of MSC treatment for DKD as it moves closer to clinical application. Results from animal models suggest that systemic MSC infusion may positively impact DKD progression. However, few registered and completed clinical trials exist, and whether the treatments are effective in humans is still being determined. Significant knowledge gaps and research opportunities exist, including establishing the ideal source, dose, and timing of MSC delivery, better understanding of in vivo mechanisms, and developing quantitative indicators to obtain a more significant therapeutic response. This paper reviews recent literature on using MSCs in preclinical and clinical trials in DKD. Potent biomarkers related to DKD are also highlighted, which may help better understand MSCs' action in this disease progression. KEY MESSAGES: Mesenchymal stem cells have anti-inflammatory and paracrine effects in diabetic kidney disease. Mesenchymal stem cells alleviate in animal models having diabetic kidney disease. Mesenchymal stem cells possess promise for the treatment of diabetic kidney disease.

Unveiling the pathogenesis and therapeutic approaches for diabetic nephropathy: insights from panvascular diseases

Diabetic nephropathy (DN) represents a significant microvascular complication in diabetes, entailing intricate molecular pathways and mechanisms associated with cardiorenal vascular diseases. Prolonged hyperglycemia induces renal endothelial dysfunction and damage via metabolic abnormalities, inflammation, and oxidative stress, thereby compromising hemodynamics. Concurrently, fibrotic and sclerotic alterations exacerbate glomerular and tubular injuries. At a macro level, reciprocal communication between the renal microvasculature and systemic circulation establishes a pernicious cycle propelling disease progression. The current management approach emphasizes rigorous control of glycemic levels and blood pressure, with renin-angiotensin system blockade conferring renoprotection. Novel antidiabetic agents exhibit renoprotective effects, potentially mediated through endothelial modulation. Nonetheless, emerging therapies present novel avenues for enhancing patient outcomes and alleviating the disease burden. A precision-based approach, coupled with a comprehensive strategy addressing global vascular risk, will be pivotal in mitigating the cardiorenal burden associated with diabetes.

Determinants of diabetic nephropathy among diabetic patients in Ethiopia: Systematic review and meta-analysis

INTRODUCTION

Diabetic nephropathy (DN) is a long-term kidney disease among diabetic patients. It is the leading cause of end-stage renal failure. In Ethiopia, DN affects the majority of diabetic populations, but there were inconsistent findings about the determinant factors across the studies.

METHODS

We have accessed studies using PubMed, Embase, EBSCO, Web of Science, OVID, and search engines including Google and Google Scholar published up to June 2023. The study populations were diabetic patients with nephropathy. The quality of each included article was assessed using the Newcastle-Ottawa quality assessment scale. The odds ratios of risk factors were pooled using a random-effect meta-analysis model. Heterogeneity was assessed using the Cochrane Q statistics and I-Square (I2). The publication bias was detected using the funnel plot and/or Egger's test (p< 0.05). Trim and fill analysis was carried out to treat the publication bias. The protocol has been registered with the reference number CRD42023434547.

RESULTS

A total of sixteen articles were used for this reviewed study. Of which, eleven articles were used for advanced age, ten articles for duration of diabetic illness, ten articles for poor glycemic control, and eleven articles for having co-morbid hypertension. Diabetic patients with advanced age (AOR = 1.11, 95% CI: 1.03-120, I2 = 0.0%, p = 0.488), longer duration of diabetic illness (AOR = 1.23, 95% CI = 1.05-1.45, I2 = 0.0%, p = 0.567), poor glycemic control (AOR = 2.57, 95% CI: 1.07-6.14; I2 = 0.0%, p = 0.996), and having co-morbid hypertension (AOR = 4.03, 95% CI: 2.00-8.12, I2 = 0.0%, p = 0.964) were found to be factors associated with DN.

CONCLUSIONS

The findings of the study revealed that diabetic patients with advanced age, longer duration of diabetic illness, poor glycemic control status, and co-morbid hypertension were the determinant factors of DN. Therefore, treatment of co-morbid hypertension and high blood glucose and regular screening of renal function should be implemented to detect, treat, and reduce the progression of DN. Furthermore, healthcare workers should give due attention to diabetes with advanced age and a longer duration of diabetes illness to prevent the occurrence of DN.

Clinical study of different prediction models in predicting diabetic nephropathy in patients with type 2 diabetes mellitus

BACKGROUND

Among older adults, type 2 diabetes mellitus (T2DM) is widely recognized as one of the most prevalent diseases. Diabetic nephropathy (DN) is a frequent complication of DM, mainly characterized by renal microvascular damage. Early detection, aggressive prevention, and cure of DN are key to improving prognosis. Establishing a diagnostic and predictive model for DN is crucial in auxiliary diagnosis.

AIM

To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive model.

METHODS

The clinical data of 210 patients diagnosed with T2DM and admitted to the First People's Hospital of Wenling between August 2019 and August 2022 were retrospectively analyzed. According to whether the patients had DN, they were divided into the DN group (complicated with DN) and the non-DN group (without DN). Multivariate logistic regression analysis was used to explore factors affecting DN in patients with T2DM. The data were randomly split into a training set (n = 147) and a test set (n = 63) in a 7:3 ratio using a random function. The training set was used to construct the nomogram, decision tree, and random forest models, and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity, specificity, accuracy, recall, precision, and area under the receiver operating characteristic curve.

RESULTS

Among the 210 patients with T2DM, 74 (35.34%) had DN. The validation dataset showed that the accuracies of the nomogram, decision tree, and random forest models in predicting DN in patients with T2DM were 0.746, 0.714, and 0.730, respectively. The sensitivities were 0.710, 0.710, and 0.806, respectively; the specificities were 0.844, 0.875, and 0.844, respectively; the area under the receiver operating characteristic curve (AUC) of the patients were 0.811, 0.735, and 0.850, respectively. The Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models (P < 0.05), whereas the difference in AUC values of the random forest and column-line graph models was not statistically significant (P > 0.05).

CONCLUSION

Among the three prediction models, random forest performs best and can help identify patients with T2DM at high risk of DN.

Prevalence and Co-prevalence of Comorbidities among Patients with Type 2 Diabetes Mellitus in the MENA Region: A Systematic Review

AIM

The management of type 2 diabetes mellitus is affected by the presence of comorbidities. This meta-analysis aimed to determine how likely it is for individuals with type 2 diabetes in the Middle East and North Africa (MENA) region to be living with additional chronic health conditions.

METHODS

We searched for studies published from January 2010 to December 2020 in the PubMed, Ovid MEDLINE®, Cochrane CENTRAL, Scopus, and Web of Science databases. Studies of adults with type 2 diabetes in the MENA region were included. We performed a random-effects meta-analysis of single proportions to calculate each comorbidity's overall prevalence/coprevalence.

RESULTS

Statistically significant co-prevalence was detected at p < 0.01 for angina (pooled proportion: 0.24, 95% CI: 0.06, 0.49), cerebrovascular accident (pooled proportion: 0.16, 95% CI: 0.08, 0.26), coronary artery disease (pooled proportion: 0.25, 95% CI: 0.16, 0.35), coronary heart disease (pooled proportion: 0.05, 95% CI: 0.01, 0.12), peripheral vascular disease (pooled proportion: 0.19, 95% CI: 0.13, 0.26), hypertension (pooled proportion: 0.56, 95% CI: 0.43, 0.69), renal impairment (pooled proportion: 0.19, 95% CI: 0.10, 0.29), in addition to hyperlipidemia and overweight/ obesity.

CONCLUSION

There is evidence of co-prevalence of several comorbidities in patients with type 2 diabetes, highlighting the importance of enhancing communication among healthcare professionals to develop the optimal management plan for each patient.

Sex-dependent effects of Canagliflozin on kidney protection in mice with combined hypertension-type 1 diabetes

Canagliflozin (CANA) is a sodium-glucose cotransporter 2 (SGLT2) inhibitor with blood glucose lowering effects. CANA also promotes kidney protection in patients with cardiovascular diseases and type 2 diabetes (T2D), as well as in normoglycemic patients with hypertension or heart failure. Clinical studies, although conduct in both sexes, do not report sex-dependent differences in T2DM treated with CANA. However, the impact of CANA in type 1 diabetes, as well in sex-dependent outcomes in such cohort needs further understanding. To analyze the effects of CANA in mice with combined hypertension and type 1 diabetes, diabetes was induced by STZ injection (5 days, 50mg/kg/day) in both male and female 8 weeks old genetic hypertensive mice (Lin), whereas the control (Lin) received 0.1M sodium citrate injections. 8 weeks after STZ. Mice were fed either regular or CANA-infused diet for 4 weeks. 8 weeks after STZ, hyperglycemia was present in both male and female mice. CANA reversed BG increase mice fed regular diet. Male LinSTZ mice had elevated water intake, urine output, urinary albumin to creatinine ratio (ACR), kidney lesion score, and creatinine clearance compared to the Lin control group. Kidney injury was improved in male LinSTZ + CANA group in male mice. Water intake and urine output were not statistically significantly different in female LinSTZ compared to female LinSTZ+ CANA. Moreover, CANA did not improve kidney injury in female mice, showing no effect in creatinine clearance, lesion score and fibrosis when compared to LinSTZ fed regular diet. Here we show that Canagliflozin might exert different kidney protection effects in male compared to female mice with hypertension and type 1 diabetes. Sex-dimorphisms were previously found in the pathophysiology of diabetes induced by STZ. Therefore, we highlight the importance of in-depth investigation on sex-dependent effects of CANA, taking in consideration the unique characteristics of disease progression for each sex.

Prevalence and predictors of chronic kidney disease among type 2 diabetic patients worldwide, systematic review and meta-analysis

BACKGROUND

Diabetes is a complicated, chronic condition that requires ongoing medical attention as well as multiple risk-reduction measures beyond glucose control. The prevalence of chronic kidney disease (CKD) is highly variable in different parts of the world due to various environmental, ethnic, socioeconomic, and rural-urban differences. Diabetes is the leading cause of CKD. This study aimed to estimate the global prevalence of CKD and its associated factors among type 2 diabetes(T2DM) patients, provide scientific evidence for a better understanding of the burden of CKD among diabetes mellitus type 2 patients, and design interventional strategies.

METHODS

Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist guideline was followed for this review and meta-analysis. The electronic databases (Pub Med, Cochrane Library, Google Scholar, and grey literature) were searched to retrieve articles by using keywords. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument was used to assess the quality of studies. The meta-analysis was conducted using STATA 17 software. The Meta logistic regression was computed to present the pooled prevalence and Odds ratio (OR) of the determinate factors with a 95% confidence interval (CI).

RESULTS

In this systematic review and meta-analysis 20 studies were done in 13 different countries. The pooled magnitude of chronic kidney disease among type 2 DM patients was 27% (95% CI 21%, 33%). The prevalence of chronic kidney disease differs across countries, with the maximum in the USA and the lowest in the United Arab Emirates. Patients with CKD have an elevated risk of severe renal and cardiovascular morbidity and mortality. Renin-angiotensin system inhibitors, sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide 1 receptor agonists, and, more recently, non-steroidal mineralocorticoid receptor antagonists are among the medications that have been demonstrated to slow the progression of CKD. In this systematic review and meta-analysis increased age, obesity, having a history of type 2 diabetes mellitus, smoking history, presence of hypertension, and cardiac heart disease were factors significantly associated with the presence of chronic kidney disease among type 2 diabetic patients.

CONCLUSIONS

The prevalence of chronic kidney disease among type 2 diabetes mellitus patients was high based on the included 20 articles. The review reported that old age, hypertension, cardiac disease, smoking, obesity, and duration of diabetes mellitus was predictor variable for chronic kidney disease among type 2 diabetic patients. Therefore, in order to lower the morbidity and mortality from chronic kidney disease among type 2 diabetic patients, it is advised to develop both preventive and curative intervention strategies, such as raising awareness, creating a supportive environment, and prescribing appropriate medication at an early stage.

Burden and predictors of diabetic kidney disease in an adult Ugandan population with new-onset diabetes

BACKGROUND

Despite the growing evidence of diabetic kidney disease (DKD) in adult patients with long-standing diabetes in sub-Saharan Africa, data on its burden and correlates in adult African patients with new-onset diabetes are limited. We, therefore, undertook this study to determine the burden and predictors of DKD in an adult population with new-onset diabetes in Uganda.

METHODS

We collected data on the relevant sociodemographic, clinical, anthropometric, and metabolic characteristics in 519 participants with newly diagnosed diabetes recruited from seven tertiary hospitals. A spot mid-stream urine sample was collected for determination of the urine albumin creatinine ratio (UACR) using Clinitek® microalbumin strips and a point-of-care Clinitek® status analyser. The estimated glomerular filtration rate (e-GFR) was determined using the Chronic Kidney Disease Epidemiology formula. The presence of DKD was defined as a spot UACR ≥ 3 mg/mmol with or without an e-GFR < 60 ml/min/1.73m2.

RESULTS

The median (IQR) age, UACR, and e-GFR of the participants were 48 years (39-57), 2.27 mg/mmol (1.14-3.41), and 121.8 ml/min/1.73m2 (105.4-133.9). UACR ≥ 3 mg/mmol and e-GFR < 60 ml/min/1.73m2 was noted in 175 (33.7%) and 7 (1.4%) participants, respectively. DKD was documented in 175 participants (33.7%). Compared with those without DKD, participants with DKD were more likely to be ≥ 50 years of age (53.7% vs. 43%, p = 0.02) and to have co-existing hypertension at the time of diagnosis (40.6% vs. 30.1%, p = 0.02). On multivariate analysis, self-reported hypertension comorbidity (OR 1.76 95% CI 1.24-2.48, p = 0.002) and body mass index (BMI) ≥ 30 kg/m2 (OR 0.61 95% CI 0.41-0.91, p = 0.02) were noted to independently predict DKD.

CONCLUSION

In this study population, DKD was relatively common and was independently associated with self-reported hypertension comorbidity and BMI ≥ 30 kg/m2.

The role of structural racism and geographical inequity in diabetes outcomes

Diabetes is pervasive, exponentially growing in prevalence, and outpacing most diseases globally. In this Series paper, we use new theoretical frameworks and a narrative review of existing literature to show how structural inequity (structural racism and geographical inequity) has accelerated rates of diabetes disease, morbidity, and mortality globally. We discuss how structural inequity leads to large, fixed differences in key, upstream social determinants of health, which influence downstream social determinants of health and resultant diabetes outcomes in a cascade of widening inequity. We review categories of social determinants of health with known effects on diabetes outcomes, including public awareness and policy, economic development, access to high-quality care, innovations in diabetes management, and sociocultural norms. We also provide regional perspectives, grounded in our theoretical framework, to highlight prominent, real-world challenges.

Ferroptosis in diabetic nephropathy: Mechanisms and therapeutic implications

Diabetic Nephropathy (DN), the most common complication in diabetes mellitus, has been affecting the lives of people diabetic for a long time. Numerous studies have demonstrated the unbreakable connection between ferroptosis and kidney cell damage. Ferroptosis is a type of iron-dependent, non-apoptotic, regulated cell death, characterized by the buildup of intracellular lipid peroxides to lethal levels. Although the role of programmed cell deaths like apoptosis, autophagy, and necroptosis in the pathogenesis of DN has been demonstrated, the implication of ferroptosis in DN was least interrogated. Hence, the main aim of this review was to discuss the current understanding of ferroptosis focusing on its potential mechanisms, its involvement in DN, and emerging therapeutic opportunities.

Determinants of hypertension among diabetic patients in southern Ethiopia: a case-control study

BACKGROUND

Hypertension, among diabetic patients, is a worldwide public-health challenge and a number one modifiable risk factor for other cardiovascular diseases and death. The prevalence of hypertension among the diabetic population is nearly twice of nondiabetic patients. Screening and prevention of risk factors for hypertension based on evidence from local studies is required to minimize the burden of hypertension among diabetic patients. This study is aimed at assessing the determinants of hypertension among diabetic patients in Wolaita Sodo University Comprehensive Specialized Hospital, Southern Ethiopia, 2022.

METHODS

Facility-based unmatched case-control study design was conducted from March 15 to April 15, 2022, at the outpatient diabetic clinic, Wolaita Sodo University Comprehensive Specialized Hospital. A total of 345 diabetic patients were selected using systematic random sampling techniques. Data were collected using a structured questionnaire by interviewing and extracting from the medical chart of patients. Bivariate logistic regression followed by multiple logistic analysis was used to identify the determinants of hypertension among diabetic patients. A p-value less than 0.05 is considered to be statistically significant.

RESULTS

The significant determinants of hypertension among diabetes patients were being overweight [AOR = 2.06, 95% CI (1.1, 3.89), P = 0.025], being obese [AOR = 2.64, 95% CI (1.22, 5.70), P = 0.013], lack of Moderate intensity exercise [AOR = 2.41, 95% CI (1.36,4.24), P = 0.002], age [AOR = 1.03, 95% CI (1.01, 1.06), P = 0.011], Type 2 diabetes mellitus [AOR = 5.05, 95% CI (1.28, 19.88), P = 0.021], duration of diabetes mellitus ≥ 6 years [AOR = 7.47, 95% CI (2.02, 27.57), P = 0.003], diabetic nephropathy [AOR = 3.87, 95% CI (1.13, 13.29), P = 0.032], and urban residence [AOR = 2.11, 95% CI (1.04,4.29), P = 0.04].

CONCLUSION

Being overweight and obese, lack of moderate-intensity exercise, age, type 2 diabetes mellitus, duration of Diabetes ≥ 6 years, presence of diabetic nephropathy, and being urban residents were significant determinants of hypertension among diabetic patients. These risk factors can be targeted by health professionals for prevention and earlier detection of hypertension among diabetic patients.

Acute and chronic kidney complications in children with type 1 diabetes mellitus

Children with type 1 diabetes mellitus (T1DM) have an increased risk of developing kidney involvement. Part of the risk establishes at the beginning of T1DM. In fact, up to 65% of children during T1DM onset may experience an acute kidney injury (AKI) which predisposes to the development of a later chronic kidney disease (CKD). The other part of the risk establishes during the following course of T1DM and could be related to a poor glycemic control and the subsequent development of diabetic kidney disease. In this review, we discuss the acute and chronic effects of T1DM on the kidneys, and the implications of these events on the long-term prognosis of kidney function.

Lipid Profile, Renal Function Tests and Inflammatory Markers in Algerian Type 2 Diabetic Patients

Background

Several studies show the relationship between chronic hyperglycemia and the appearance of macroangiopathy, microangiopathy and neuropathy. The major objective of this study was to investigate the serum lipids, renal function tests and inflammatory markersin type 2 diabetes patients.

Methods

The study lasted eight years between Feb-2013 and Mar-2021 (Mascara, Algeria). Overall,197 patients and 197 controls were selected during general medicine examinations; enzymatic and immunoturbidimetric colorimetric methods were used to determine the serum levels offasting glycaemia, total cholesterol, highdensity lipoprotein cholesterol, triglycerides, low-density lipoprotein cholesterol, fibrinogen, urea, acid uric, albumin and creatinine, C protein reactive; the glomerular filtration rate is calculated according to the MDRD equation; the glycatedhaemoglobin levels were determined by an ion-exchange resin separation method.

Results

Patients had 2.44 times higher fasting glycaemia, 1.71 times higher HbA1c, 1.23 times higher body mass index, 1.30 times higher waist circumference and 1.25times higher systolic blood pressure than control subjects; the findings of the present study also indicate that a significant differences between patients and controls were observed regarding triglycerides (P=0.008), LDL-cholesterol (P=0.011), HDL-cholesterol (P=0.009), urea (P=0.013), uric acid (P=0.015), creatinine (P=0.007), glomerular filtration rate (P=0.006), albumin (P=0.018), fibrinogen (P=0.023) and C protein reactive (P=0.019).

Conclusion

All this metabolic disordercould facilitate the appearance of serious complications in future.

Prevalence and association of diabetic nephropathy in newly diagnosed Chinese patients with diabetes in the Hebei province: A single-center case-control study

Diabetes is a chronic disease and has huge pressure on patients and the medical system, especially for patients with diabetic complications, for example, diabetic nephropathy. Diabetic nephropathy is a diabetic complication associated with damage to the kidney. To improve the quality of life of patients with diabetes, it is necessary to understand the factors that are associated with diabetic nephropathy. The objective of the study was to find the prevalence of diabetic nephropathy in newly diagnosed patients with diabetes and to develop the association between clinicopathological parameters and diabetic nephropathy. In a case-control study, demographics, anthropometric, and clinicopathological parameters of a total of 305 newly diagnosed patients with diabetes (the fasting blood glucose ≥ 7.0 mM/L and/or glycosylated hemoglobin ≥ 6.5 mM/L) in Hebei province were included in the analysis. If the urine albumin to creatinine ratio was ≥ 30 (microalbuminuria) then patients were considered diabetic nephropathy. Among enrolled patients, 206 (68%) were males and 99 (32%) were females and they were 46 to 71 years old. Demographic variables and health-related behaviors were the same among patients with diabetes either with nephropathy (case group, n = 135) or patients without nephropathy (control group, n = 170, P > .05 for all). The prevalence of diabetic nephropathy was 44%. Female to male ratio was 1:1.7 in the case group. Patients with diabetic nephropathy had higher body weight (P < .0001), waist circumference (P = .0006), and body mass index (P = .0002) than those of patients without nephropathy. Abnormal urinary globulin (P = .041, odd ratio (OR): 1.1231) was associated with diabetic nephropathy. Aspartate transaminase (P = .0651, OR: 0.8541), alkaline phosphatase (P = .0661, OR: 0.8122), hypertension (P = .0821, OR: 0.8214), and blood urea nitrogen (P = .0842, OR: 0.9411) were not significantly associated with diabetic neuropathy. However, they are near the statistical cutoff value. The prevalence of diabetic nephropathy in newly diagnosed diabetic patients of Hebei province is higher than those of the other provinces. Urinary globulin excretion had a weak association with the presence of nephropathy defined by urinary albumin excretion in patients with diabetes. The presence of other diabetic complications is also an essential parameter for diabetic nephropathy. Males are more susceptible to diabetic nephropathy than females if diabetic (Evidence Level: V; Technical Efficacy: Stage 3).

Fatty acid binding protein 1 (FABP1) and fatty acid binding protein 2 (FABP2) as a link between diabetic nephropathy and subclinical atherosclerosis in children and adolescents with type 1 diabetes

BACKGROUND

Diabetic nephropathy is a major cause of morbidity and mortality in type 1 diabetes mellitus (T1DM). Fatty acid binding proteins (FABP1 and FABP2) play a role in the development and progression of chronic kidney disease including type 2 diabetes mellitus.

AIM

We assessed serum FABP1 and FABP2 levels in children and adolescents with T1DM as potential markers for diabetic nephropathy and their relation to carotid intima media thickness (CIMT).

METHODS

Sixty patients with T1DM were divided into 2 groups according to the presence of nephropathy and compared with 30 healthy controls. CIMT, fasting blood glucose (FBG), hemoglobin A1c (HbA1c), urinary albumin creatinine ratio (UACR), fasting lipid profile and serum FABP1 and FABP2 levels were assessed.

RESULTS

FABP1 and FABP2 levels were significantly higher among type 1 diabetic patient with and without nephropathy compared with healthy controls with the highest levels among patients with nephropathy (p < 0.001). There were significant positive correlations between FABP1 and FABP2 and each of systolic blood pressure, CIMT, FBG, HbA1c and total cholesterol among T1DM patients. FABP1 was negatively correlated to glomerular filtration rate. Multivariable linear regression analysis showed that systolic blood pressure, CIMT, FBG and HbA1c were the significant independent variables related to FABP1 levels in type 1 diabetic patients with nephropathy. ROC curve analysis was performed to determine the cutoff value of FABP1 and FABP2 that could detect nephropathy.

CONCLUSION

FABP1 and FABP2 levels are elevated in children and adolescents with T1DM and could represent a link between diabetic nephropathy and subclinical atherosclerosis.

Risk factors of chronic kidney disease among type 2 diabetic patients with longer duration of diabetes

Background

Chronic kidney disease (CKD) in patients with type 2 diabetes mellitus (T2DM) is the major cause of end stage renal disease, characterized by proteinuria with a subsequent decline in glomerular filtration rate. Although hyperglycemia is the major risk factor for the development and progression of kidney disease among diabetic patients, many other risk factors also contribute to structural and functional changes in the kidneys. As recommended by Kidney Disease Improving Global Outcomes (KDIGO), CKD classification based on cause and severity, links to risk of adverse outcomes including mortality and kidney outcomes.

Objective

The aim of this study is to investigate the involvement of risk factors associated with the severity of CKD among participants with longer duration of diabetes. This study also aims to find whether number of risk factors vary among risk of CKD progression categories based on KDIGO classification.

Material and methods

This cross-sectional study retrospectively selected 424 participants from type 2 diabetic cohort and categorized them based on the classifications for the diagnosis of kidney diseases in patients with diabetes, according to the KDIGO guidelines. Odds ratios and 95% CI of each risk factors according to severity of renal disease were determined.

Results

Based on KDIGO classification, participants with type 2 diabetes (T2D) were categorized in to low risk (n=174); moderately increased risk (n=98); and high/very high risk (n=152). Type 2 diabetic participants with risk factors such as, hyperlipidemia, hypertension, DM duration ≥15 years and diabetic retinopathy showed a high/very high risk of CKD progression when compared with low-risk category. While T2D participants with risk factors such as, lack of exercise, hypertension, and diabetic retinopathy showed a moderately increased risk of CKD progression. In addition, participants with highest number of risk factors were significantly distributed among high/very high risk of CKD progression category.

Conclusion

This study findings conclude that patients with T2DM and duration of ≥15 years, hyperlipidemia, hypertension and diabetic retinopathy have an increased prevalence of advanced CKD. In addition to this, increased number of risk factors could be an indicator of the severity of CKD in T2D.

The need for screening, early diagnosis, and prediction of chronic kidney disease in people with diabetes in low- and middle-income countries-a review of the current literature

Chronic kidney disease (CKD) in people with diabetes is becoming an increasing major public health concern, disproportionately burdening low- and middle-income countries (LMICs). This rising burden is due to various factors, including the lack of disease awareness that results in late referral and the cost of screening and consequent treatment of the comorbid conditions, as well as other factors endemic to LMICs relating to inadequate management of risk factors. We critically assessed the extant literature, by performing searches of Medline via PubMed, EBSCOhost, Scopus, and Web of Science, for studies pertaining to screening, diagnosis, and prediction of CKD amongst adults with diabetes in LMICs, using relevant key terms. The relevant studies were summarized through key themes derived from the Wilson and Jungner criteria. We found that screening for CKD in people with diabetes is generally infrequent in LMICs. Also, LMICs are ill-equipped to appropriately manage diabetes-associated CKD, especially its late stages, in which supportive care and kidney replacement therapy (KRT) might be required. There are acceptable and relatively simple tools that can aid diabetes-associated CKD screening in these countries; however, these tools come with limitations. Thus, effective implementation of diabetes-associated CKD screening in LMICs remains a challenge, and the cost-effectiveness of such an undertaking largely remains to be explored. In conclusion, for many compelling reasons, screening for CKD in people with diabetes should be a high policy priority in LMICs, as the huge cost associated with higher mortality and morbidity in this group and the cost of KRT offers a compelling economic incentive for improving early detection of diabetes in CKD.

Diabetes in the Western Cape, South Africa: A secondary analysis of the diabetes cascade database 2015 - 2020

AIM

The aim was to describe the demographics, comorbidities and outcomes of care for patients with diabetes at primary care facilities in the Western Cape, South Africa, between 2015 and 2020.

METHODS

This was a secondary analysis of the diabetes cascade database.

RESULTS

The database included 116726 patients with mean age of 61.4 years and 63.8 % were female. The mean age at death was 66.0 years. Co-morbidities included hypertension (69.5 %), mental health disorders (16.2 %), HIV (6.4 %) and previous TB (8.2 %). Sixty-three percent had at least one previous hospital admission and 20.2 % of all admissions were attributed to cardiovascular diseases. Coronavirus was the third highest reason for admission over a 10-year period. Up to 70% were not receiving an annual HbA1c test. The mean value for the last HBA1c taken was 9.0%. Three-quarters (75.5 %) of patients had poor glycaemic control (HbA1c >7 %) and a third (33.7 %) were very poorly controlled (HbA1c>10 %). Glycaemic control was significantly different between urban sub-districts and rural areas. Renal disease was prevalent in 25.5 %.

CONCLUSION

Diabetes was poorly controlled with high morbidity and mortality. There was poor compliance with guidelines for HbA1c and eGFR measurement. At least 7% of diabetic patients were being admitted for complications annually.

Serum ferritin level in type 2 diabetic patients with renal dysfunction

Background and objective: Nephropathy is the major cause of end-stage renal disease (ESRD) in type 2 diabetes mellitus (T2DM). Delay in identification and management of nephropathy in T2DM may cause development of ESRD. An increased level of serum ferritin plays a role in the pathogenesis of chronic kidney disease (CKD) in T2DM. Hence, the present study intended to assess the level of serum ferritin in renal dysfunction in patients with T2DM. Material and methods: This was a retrospective study with 81 T2DM patients with and without nephropathy. They were categorized into two groups. Group-1 consisted of 46 T2DM cases without nephropathy and remaining 35 with nephropathy.The clinical and biochemical parameters such as blood glucose, urea, creatinine, iron, ferritin, transferrin, total iron binding capacity (TIBC), and haemoglobin were measured by standard methods, and estimated glomerular filtration rate (eGFR) by MDRD formula. Results: Significantly (p<0.05) elevated level of serum ferritin along with urea and creatinine was found in patients with T2DM with nephropathy.A significant positive correlation (r = 0.37) of serum ferritin and negative correlation (r = - 0.852) of eGFR with creatinine were found. It indicated that ferritin could be a good marker to monitor kidney function in T2DM. Conclusion: Apart from eGFR and serum creatinine, raised serum ferritin level was a good indicator of renal dysfunction in T2DM patients and might play an important role in renal dysfunction in early stage diabetic nephropathy. IMC J Med Sci 2022; 16(2): 008. DOI: https://doi.org/10.55010/imcjms.16.018 *Correspondence: Dr. Siva Prasad Palem., M.Sc., Ph.D., Department of Biochemistry, Faculty of Medicine, Chalmeda Anand Rao Institute of Medical Sciences, Karimnagar-505001, Telangana, India. Affiliated with Kaloji Narayana Rao University of Health Sciences (KNRUHS), Warangal, Telangana, India. E-mail: sp.biocom@yahoo.co.in.

Incidence and Predictors of Chronic Kidney Disease among Diabetes Mellitus Patients: A Retrospective Follow-Up Study at a Tertiary Health-Care Setting of Ethiopia

BACKGROUND

Chronic kidney disease (CKD) is one of the most common microvascular complications of diabetes mellitus (DM) and it is a major health burden worldwide. Despite the increasing trend of microvascular complications in developing countries, there is limited evidence on predictors of CKD among diabetic patients in Ethiopia. Therefore, this study was aimed to assess the incidence and predictors of CKD among DM patients.

METHODS

A retrospective follow-up study was conducted among type 1 and type 2 DM patients in Southwest Ethiopia. A total of 437 newly-diagnosed diabetes patients were selected using a simple random sampling technique. Data were extracted from patients' medical records. Cox proportional hazard model was fitted and a 95% confidence interval was used to select significant variables.

RESULTS

Overall, 15.56% of patients developed CKD, with an incidence rate of 2.29 per 1,000 person-month (PM) (95% CI=1.79-2.93). Female sex (AHR=0.51, 95% CI=0.27-0.94) was found to be a protective factor of CKD, while positive proteinuria (AHR=2.85, 95% CI=1.48-5.55), having hypertension (HTN) (AHR=2.31, 95% CI=1.03-5.56), and high-density lipoprotein cholesterol (HDL-C) <40 mg/dL (AHR=3.19, 95% CI=1.73-5.98) were significant predictors of CKD.

CONCLUSION

CKD among DM patients continues to be a significant public health problem in health-care settings of Ethiopia. The current study found being female was protective, while positive proteinuria, HTN, and HDL-C <40 mg/dL were risk factors for CKD. We recommend health professionals to give more attention to DM patients with the identified risk factors.

Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia

OBJECTIVE

This study aimed to compare glycemic control and risk of cardiovascular outcomes of metformin-insulin versus metformin-sulfonylurea combination therapies in type 2 diabetes mellitus.

METHODS

We conducted a comparative cross-sectional study in five tertiary level hospitals in Addis Ababa, Ethiopia. We enrolled 321 patients with type 2 diabetes mellitus who were on continuous treatment follow-up on either metformin-insulin or metformin-sulfonylurea combination therapy. We interviewed the participants and reviewed their medical records to investigate medication efficacy, safety, and adherence. The primary outcome measure was glycemic control and the secondary outcome measures were composite cardiovascular outcomes.

RESULTS

Of the total participants enrolled, 50.5% (n = 162) were those who received metformin-insulin and 49.5% (n = 159) metformin-sulfonylurea combination therapies for a median of 48 months follow-up. The reduction of Hb1Ac levels was comparable between the metformin-insulin (-1.04 ± 0.96%) and metformin-sulfonylurea (-1.02 ± 1.03%), p = 0.912. Patients who received metformin-sulfonylurea had 4.3 times more likely to have achieved target HbA1c level compared to those who received metformin-insulin, p < 0.001, adjusted odds ratio (AOR) with 95% CI = 4.31[1.79-10.32]. Risk of composite cardiovascular outcomes was higher in metformin-insulin group (40.5% versus 34.0%), p = 0.021. Co-morbidities, body mass index, systolic blood pressure, and HbA1c had a significant association with composite cardiovascular outcomes. Reductions of bodyweight, HDL-C, LDL-C, triglycerides levels, and microvascular complications were different between the two groups, p < 0.05.

CONCLUSION

High proportion of patients who received metformin-sulfonylurea achieved target HbA1c level and had less composite cardiovascular outcomes compared to those who received metformin-insulin. However, these findings have to be confirmed with randomized control trials to determine risks associated with insulin use, while efficacy is maintained as second-line treatment in patients with type 2 diabetes mellitus.

hsa-miR-199b-3p Prevents the Epithelial-Mesenchymal Transition and Dysfunction of the Renal Tubule by Regulating E-cadherin through Targeting KDM6A in Diabetic Nephropathy

Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. The association between epithelial-mesenchymal transition (EMT) and fibrosis is quite ascertained, but its link to eventual tubule dysfunction is missing. Here, we show that human microRNA- (hsa-miR-) 199b-3p protects renal tubules from diabetic-induced injury by repressing KDM6A, a histone lysine demethylase regulating E-cadherin expression. Lower E-cadherin expression is related to a higher level of KDM6A, while E-cadherin is promoted upon treatment with the KDM6A inhibitor GSK-J4 in both high glucose- (HG-) induced HK2 cells and the kidneys from streptozotocin- (STZ-) induced type 1 diabetic mice. However, overexpression or RNA silencing of E-cadherin fails to alter KDM6A expression. We also show that the upregulation of KDM6A is associated with the increased methylation level of the E-cadherin promoter. Then, the target prediction results and a dual-luciferase assay show that hsa-miR-199b-3p is a new miRNA that targets KDM6A. Overexpression of hsa-miR-199b-3p increases E-cadherin expression and prevents EMT through repressing KDM6A expression in HG-induced HK2 cells. In contrast, inhibitor-induced hsa-miR-199b-3p knockdown has opposite effects, as it decreases E-cadherin level and worsens EMT, accompanied by increased levels of KDM6A. Besides, Mir199b-knockout mice without mmu-miR-119b-3p expression exhibit more renal tubule dysfunction and more serious kidney tissue damage upon treatment with STZ. These results demonstrate that hsa-miR-199b-3p improves E-cadherin expression and prevents the progression of DN through targeting KDM6A. miR-199b-3p could be a future biomarker or target for the diagnosis or treatment of DN.

The association between monocyte HDL ratio and albuminuria in diabetic nephropathy

Objectives:

We aimed to investigate whether Monocyte-to-HDL ratio (MHR) had an association with albuminuria in patients with diabetic nephropathy (DN).

Methods:

Diabetic patients, who had admitted to the outpatient clinic of general internal disease department between September 2017 - February 2018 and had their spot urinary albumin/creatinine ratio measured, were examined retrospectively. Patients were separated based on the presence of DN. Patients with DN were grouped as Stage-I, Stage-II and Stage-III chronic kidney disease (CKD). Groups were compared in terms of MHR. The presence of a correlation between MHR and albuminuria was investigated.

Results:

MHR was found to be higher in the DN (n=85) group compared to Non- DN group. (16.2±5.5 vs. 14.3±4, p=0.037) And there was no significant difference in Stage-I, Stage-II and Stage-III CKD groups in terms of MHR. (15.2± 3.4, 16.1±6.0, 17.1±6.0, p=0.485). No significant correlation was found between MHR and albuminuria in DN and non-DN groups (p=0.634, r=0.052; p=0.553, r=-0.059).

Conclusions:

DN group had higher MHR than non-nephropathy group, whereas, there was no correlation between albuminuria and MHR.

Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice

This cross-sectional study aimed to investigate the prevalence and risk factors of chronic kidney disease (CKD) among 1,096 primary care type 2 diabetes (T2DM) patients in northern Thailand between October 2016 and September 2017. CKD was defined as estimated glomerular rate filtration values of <60 mL/min/1.73 m². Prevalence with confidence intervals across CKD advanced stages 3–5 were estimated. Factors associated with CKD were evaluated by multivariate logistic regression. The overall prevalence of CKD was 24.4% (21.9–27.0), with severities of 11.4% (9.7–13.4), 6.8% (5.5–8.5), 4.6% (3.5–6.0), and 1.6% (1.0–2.5) for stages 3 A, 3B, 4, and 5, respectively. Regarding age and glycaemic control, individuals older than 75 years and those with a haemoglobin A1c ≥ 8% had the highest prevalence of 61.3% (51.7–70.1) and 38.6% (34.3–43.2), respectively. The multivariable logistic regression model explained 87.3% of the probability of CKD. The six independent significant risk factors of CKD were older age, retinopathy, albuminuria, haemoglobin A1c ≥ 7%, anaemia, and uric acid>7.5 mg/dL. A relatively high prevalence of CKD, especially in older patients and those with diabetic complications-related to poor glycaemic control, was encountered in this primary care practice. Early identification may help to target optimise care and prevention programs for CKD among T2DM patients.

Review of Ongoing Activities and Challenges to Improve the Care of Patients With Type 2 Diabetes Across Africa and the Implications for the Future

Background

There has been an appreciable increase in the number of people in Africa with metabolic syndrome and Type 2 diabetes (T2DM) in recent years as a result of a number of factors. Factors include lifestyle changes, urbanisation, and the growing consumption of processed foods coupled with increasing levels of obesity. Currently there are 19 million adults in Africa with diabetes, mainly T2DM (95%), estimated to grow to 47 million people by 2045 unless controlled. This has a considerable impact on morbidity, mortality and costs in the region. There are a number of issues to address to reduce the impact of T2DM including improving detection rates and current access to services alongside addressing issues of adherence to prescribed medicines. There are also high rates of co-morbidities with infectious diseases such as HIV and tuberculosis in patients in Africa with T2DM that require attention.

Objective

Document ongoing activities across Africa to improve the care of patients with T2DM especially around issues of identification, access, and adherence to changing lifestyles and prescribed medicines. In addition, discussing potential ways forward to improve the care of patients with T2DM based on ongoing activities and experiences including addressing key issues associated with co-morbidities with infectious diseases.

Our Approach

Contextualise the findings from a wide range of publications including internet based publications of national approaches coupled with input from senior level government, academic and other professionals from across Africa to provide future guidance.

Ongoing Activities

A number of African countries are actively instigating programmes to improve the care of patients with T2DM starting with improved diagnosis. This recognises the growing burden of non-communicable diseases across Africa, which has been neglected in the past. Planned activities include programmes to improve detection rates and address key issues with diet and lifestyle changes, alongside improving monitoring of care and activities to enhance adherence to prescribed medicines. In addition, addressing potential complexities involving diabetes patients with infectious disease co-morbidities. It is too early to fully assess the impact of such activities.

Conclusion

There are a number of ongoing activities across Africa to improve the management of patients with diabetes including co-morbidities. However, more needs to be done considering the high and growing burden of T2DM in Africa. Ongoing research will help further benefit resource allocation and subsequent care.

Ongoing and planned activities to improve the management of patients with Type 1 diabetes across Africa; implications for the future

BACKGROUND

Currently about 19 million people in Africa are known to be living with diabetes, mainly Type 2 diabetes (T2DM) (95%), estimated to grow to 47 million people by 2045. However, there are concerns with early diagnosis of patients with Type 1 diabetes (T1DM) as often patients present late with complications. There are also challenges with access and affordability of insulin, monitoring equipment and test strips with typically high patient co-payments, which can be catastrophic for families. These challenges negatively impact on the quality of care of patients with T1DM increasing morbidity and mortality. There are also issues of patient education and psychosocial support adversely affecting patients' quality of life. These challenges need to be debated and potential future activities discussed to improve the future care of patients with T1DM across Africa.

METHODOLOGY

Documentation of the current situation across Africa for patients with T1DM including the epidemiology, economics, and available treatments within public healthcare systems as well as ongoing activities to improve their future care. Subsequently, provide guidance to all key stakeholder groups going forward utilizing input from senior-level government, academic and other professionals from across Africa.

RESULTS

Whilst prevalence rates for T1DM are considerably lower than T2DM, there are concerns with late diagnosis as well as the routine provision of insulin and monitoring equipment across Africa. High patient co-payments exacerbate the situation. However, there are ongoing developments to address the multiple challenges including the instigation of universal health care and partnerships with non-governmental organizations, patient organizations, and pharmaceutical companies. Their impact though remains to be seen. In the meantime, a range of activities has been documented for all key stakeholder groups to improve future care.

CONCLUSION

There are concerns with the management of patients with T1DM across Africa. A number of activities has been suggested to address this and will be monitored.

Circulating Expression Level of LncRNA Malat1 in Diabetic Kidney Disease Patients and Its Clinical Significance

BACKGROUND

Long noncoding RNA MALAT1 is closely related to diabetes and kidney diseases and is expected to be a new target for the diagnosis and treatment of diabetic nephropathy.

OBJECTIVE

This study aimed to explore the circulating expression level and significance of lncRNA Malat1 in patients with type 2 diabetes mellitus (T2DM) and diabetic kidney disease (DKD).

METHODS

Quantitative real-time PCR (qPCR) was conducted to assess the expression of lncRNA Malat1 in 20 T2DM patients, 27 DKD patients, and 14 healthy controls, and then, the clinical significance was analyzed.

RESULTS

LncRNA MALAT1 expression in peripheral blood mononuclear cells (PBMC) was significantly upregulated in T2DM and DKD groups when compared to control. Pearson's correlation analysis showed correlation of lncRNA MALAT1 levels with ACR, urine β2-microglobulin (β2-MG), urine α1-microglobulin (α1-MG), creatinine (Cr), and glycosylated hemoglobin (HbA1c), while negative with superoxide dismutase (SOD) (r = -0.388, P < 0.05). Binary regression analysis showed that ACR, creatinine, α1-MG, and LncRNA Malat1 were the risk factors for diabetic nephropathy with OR value of 1.166, 1.031, 1.031, and 2.019 (P < 0.05). The area under ROC curve (AUC) of DKD identified by the above indicators was 0.914, 0.643, 0.807, and 0.797, respectively. The AUC of Joint prediction probability of DKD recognition was 0.914, and the sensitivity and specificity of DKD diagnosis were 1.0 and 0.806, respectively. (Take ≥0.251 as the diagnostic cutoff point).

CONCLUSION

LncRNA Malat1 is highly expressed in DKD patients, and the combined detection of ACR, creatinine, α1-MG, and LncRNA Malat1 with diabetes mellitus may be the best way to diagnose diabetic nephropathy.

The inhibition of SGK1 suppresses epithelial-mesenchymal transition and promotes renal tubular epithelial cell autophagy in diabetic nephropathy

Diabetic nephropathy (DN) is a common complication of diabetes that is the dominant cause of end-stage renal disease. However, the pathological mechanism of DN is yet to be elucidated. Serum and glucocorticoid induced kinase (SGK) 1, a ubiquitously expressed kinase, was employed in the current study to assess its effect on DN in vivo and in vitro. Male BALB/C mice and a human tubular epithelial cell line (HK-2) were utilized for experimentation. Male BALB/C mice and a human tubular epithelial cell line (HK-2) were utilized for experimentation. Pathological changes were measured via HE and staining and immunohistochemistry was performed to measure the expression of SGK 1. An SGK1 inhibitor, GSK650394, was applied to analyze the role of SGK1 in HK-2 cell epithelial-mesenchymal transition (EMT). Associated protein expressions were assessed via western blotting. In addition, migration was measured using a scratch wound healing assay. 3-methyladenine (3-MA), an autophagy inhibitor, was used to determine the variation of autophagy following SGK1 inhibition. The expression of autophagy proteins were analyzed. Furthermore, the expression of PI3K, AKT, mTOR and their levels of phosphorylation were measured. The results revealed that the ultrastructure of renal tissue suffered damage and that the expression of SGK1 was markedly increased. After SGK1 inhibition, HK-2 cell EMT was suppressed and cell migration was attenuated. Furthermore, the autophagy of HK-2 cells was promoted, an increased expression of Beclin-1 and LC3 II was detected, and a decreased expression of p62 was observed. Additionally, the phosphorylation of PI3K, AKT and mTOR were markedly upregulated. The results indicated that blocking autophagy signaling via 3-MA muted SGK1-protected against HG-evoked cell injury. Our study demonstrated that SGK1 inhibition promoted autophagy and suppressed renal tubular epithelial cell EMT in DN, indicating that SGK1 may serve as a potential therapeutic target of DN.

Identification of potential therapeutic target genes in mouse mesangial cells associated with diabetic nephropathy using bioinformatics analysis

The aim of the present study was to identify genes under the effect of transforming growth factor-β (TGF-β1), high glucose (HG) and glucosamine (GlcN) in MES-13 mesangial cells and elucidate the molecular mechanisms of diabetic nephropathy (DN). The gene expression datasets GSE2557 and GSE2558 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were independently screened using the GEO2R online tool. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery. The protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape software. The hub genes were identified by the NetworkAnalyzer plugin. Overlapping genes were subjected to molecular docking analysis using SystemsDock. A total of 202 upregulated and 158 downregulated DEGs from the HG-treated groups, 138 upregulated and 103 downregulated DEGs from the GlcN-treated groups, and 81 upregulated and 44 downregulated DEGs from the TGF-β1-treated groups were identified. The majority of the DEGs were independently enriched in 'nucleosome assembly', 'chromatin silencing' and 'xenobiotic glucuronidation'. In addition, KEGG pathways were significantly enriched in 'systemic lupus erythematosus', 'protein processing in endoplasmic reticulum' and 'aldarate metabolism pathway', and 'TNF signaling pathway' intersected in the TGF-β1-treated and HG-treated groups. In total, eight hub genes, Jun, prostaglandin-endoperoxide synthase 2 (Ptgs2), fibronectin 1 (Fn1), cyclin-dependent kinase (Cdk)2, Fos, heat shock protein family A (Hsp70) member 5 (Hspa5), Hsp90b1 and homo sapiens hypoxia upregulated 1 (Hyou1), and three overlapping genes, Ras homolog gene family, member B (RHOB), complement factor H (CFH) and Krüppel-like factor 15 (KLF15), were selected. Valsartan with RHOB, and fosinopril with CFH and KLF15 had preferential binding activity. In conclusion, Jun, Ptgs2, Fn1, Cdk2, Fos, Hspa5, Hsp90b1, Hyou1, RHOB, CFH and KLF15 may be potential therapeutic targets for mesangial cells associated with DN, which may provide insight into DN treatment strategies.

Utility of albumin to creatinine ratio in screening for microalbuminuria among newly diagnosed diabetic patients in Uganda: a cross sectional study

BACKGROUND

The aim of this study was to determine the prevalence and factors associated with microalbuminuria among newly diagnosed diabetic patients in Mulago National Referral Hospital, Uganda.

METHODS

In this cross-sectional study conducted between June 2014 and January 2015, we collected information on patients' socio-demographics, biophysical profile, blood pressure, biochemical testing and echocardiographic findings using a pre-tested questionnaire. Bivariate and multivariate logistic regression analyses were used to investigate the association of several factors with microalbuminuria.

RESULTS

Of the 175 patients recruited, males were 90(51.4%) and the mean age was 46±15 years. Majority of patients had type 2 DM 140 (80.0%) and the rest had type 1 DM 35 (20.0%). Mean glycated hemoglobin (HbA1C) was 13.9±5.3%. Mean duration of diabetes was 2 months. Prevalence of microalbuminuria was 47.4 % (95% CI: 40.0%-54.9%) overall. Pregnancy was associated with microalbuminuria (OR7.74[95%CI.1.01-76.47] P=0.050) while mild and moderate physical activity at work were inversely associated with microalbuminuria respectively (OR0.08[95%CI0.01-0.95] P=0.046) and (OR0.07[95%CI0.01-0.77] P=0.030).

CONCLUSION

Prevalence of microalbuminuria was high in this group. Physical activity at work may be protective against microalbuminuria and this calls for longitudinal studies. Early detection and management of microalbuminuria in diabetics may slow progression to overt diabetic nephropathy (DN).