DIABETIC NEPHROPATHY: SPECTRUM AND CLINICAL OUTCOMES IMPACT OF GLYCEMIC CONTROL ON PROGRESSION TO ESRD

Authors:
  • Shahid Rizwan Safeer , Assistant Professor Department of Nephrology Prime Teaching Hospital
  • Najm Uddin , Associate Professor Department of Nephrology Prime Teaching Hospital
  • Kashif Iqbal , Senior Registrar Department of Nephrology Prime Teaching Hospital
  • Muhammad Abbas , Associate Professor Department of Medicine Prime Teaching Hospital
  • Muhammad Hamza khan , House Officer Department of Nephrology Prime Teaching Hospital
  • Muhammad Arsalan , Medical Officer Department of Nephrology Prime Teaching Hospital

Article Information:

Published:November 4, 2025
Article Type:Original Research
Pages:3389 - 3394
Received:September 12, 2025
Accepted:October 20, 2025

Abstract:

Background: Numerous conditions that affect people worldwide, including diabetic nephropathy, are among the leading contributors to the development of chronic kidney disease and end-stage renal disease. The condition has a gradual continuum consisting of increments of microalbuminuria and leading to advanced kidney failure. HbA1c values that indicate glycemic control and long-term clinical prognosis are the most vital of the factors that can be controlled that will affect the decline of renal function among diabetic patients. Objectives: To assess the range of manifestations of diabetic nephropathy and examine the influence of glycemic control on the progression of the condition and the development of end-stage renal disease in diabetic patients. Methodology: One hundred patients with diabetic nephropathy who are users of a tertiary care centre were the subject of the observational study. Based on diabetes management, clinical information, plus HbA1c values, serum creatinine, and the glomerular filtration rate were documented. Using SPSS 24 and relevant statistical tests for the study, with p<0.05 considered statistically significant, the renal outcomes were examined. Results: One hundred patients signed up to study with ages averaging to 54.2 with an 11.8-year standard deviation. Poorly controlled patients experienced mean eGFR and progression of disease at an elevated rate than their counterparts who exhibited better clinical control. The loss of renal function between groups of glycemic control was different at a significant rate (p=0.01). Conclusion: Uncontrollable symptoms of diabetes cause a large spectrum of diabetic nephropathy cases, having different symptoms and results depending on how well blood sugar levels are controlled. Poorly controlled blood sugar levels of diabetic patients fast pass the process of healthy functioning kidneys becoming diseased and eventually terminally diseased.

Keywords:

Diabetic nephropathy; Glycemic control; Chronic kidney disease; ESRD

Article :

INTRODUCTION:

Diabetic nephropathy (DN) is one of the most prevalent microvascular complications of diabetes mellitus. It is also the most common cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD) worldwide. While diabetes is increasing worldwide, kidney sequelae also affect most healthcare systems, especially in poorer countries, which are often marketed as low and middle-income. DN sequelae encompass a broad range of complications (comorbidities) such as chronic ailments, premature death, diminished well-being, and substantial economic drain for the healthcare system as a result of long-term renal replacement therapy [1,2]. Clinically, diabetic nephropathy has a long-term and complex spectrum. The initial stages involve microalbuminuria and maintained renal function, while the later stages result in major proteinuria, hypertension, anaemia, and ultimately ESRD. There is a wide variability in the progression rate among individuals, suggesting the impact of both modifiable and non-modifiable risk factors. The modifiable risk factors, in particular, are those for which the identification of patients is most likely to produce the greatest benefit in terms of timely intervention that leads to a wide range of favourable effects [3,4]. Of the modifiable factors, the most important one is glycemic control, which is of central importance in the pathogenesis and progression of DN. A state of chronic hyperglycemia triggers a range of structural and functional changes to the kidney, such as glomerular hyperfiltration, oxidative stress, the formation of advanced glycation end products, and silencing of the inflammatory and fibrotic pathways [5]. A longitudinal clinical study has found that the above adaptations are responsible for glomerulosclerosis and tubulointerstitial scarring, which ultimately lead to irreparable organ damage (citation needed) [6]. Numerous cornerstone clinical studies have shown that the incidence of microalbuminuria and diabetic kidney disease can be postponed by maintaining stringent diabetes control. In contrast, the impact of maintaining control of type 2 diabetes on the rate of already established diabetic kidney disease progressing to end-stage renal disease (ESRD) remains vague, and has been even more poorly defined in applied clinical studies [7]. Additionally, most of the existing studies have come from developed countries, with an almost complete absence of information from the developing world (citation needed). The need to optimise the clinical approach to the diabetic nephropathy and/or chronic kidney disease (CKD) continuum, in particular with respect to diabetes control, is more pressing than ever [8]. The focus of practice on these coordinates is expected to fine-tune the strategy by setting more suitable diabetes complexity goals, increasing follow-up frequency in the most vulnerable, and integrating early protective kidney medications as needed. The current study intends to characterise the nephropathy associated with diabetes in a tertiary care environment and evaluate how the control of glucose levels affects the rate of decline of renal function and clinical outcome of ESRD. The exploration of the connection between levels of HbA1c and the decline of renal function will add credence to the need for ongoing and continuous glycemic control to mitigate adverse endpoints for renal function [9].

 

Study Objectives:

To assess how diabetic nephropathy develops its clinical spectrum, and how retention of optimal glycemic control would influence the progression of the disease, the risk of developing end-stage renal disease will also be assessed.

MATERIALS AND METHODS:

Study Design and Setting:

This observational study was conducted at Department of Nephrology Prime Teaching Hospital Peshawar from jan 2025 to june 2025.

 

Participants:

The subject of the study consists of 100 adult patients suffering from diabetes mellitus and nephropathy diabetes. Their diabetes nephropathy based on clinical laboratory was evaluated and diagnosed based on clinical laboratory results. Patients had to meet the eligibility criteria of having documented albuminuria and/or diminished eGFR due to diabetes and at least three months of clinical follow-up data.

 

Sample Size Calculation:

One hundred patients were chosen via pragmatic sampling theory due to their availability and based on similar studies conducted in the past. This sample size would be sufficient to determine differences in renal outcomes across the various categories pertaining to glycemic control and to detect differences across those categories.

 

Inclusion Criteria:

• Individuals aged 18 and older

• Confirmed diagnosis of diabetes mellitus

• Presence of diabetic nephropathy (albuminuria and/or decreased eGFR)

• Availability of HbA1c and renal function data

 

Exclusion Criteria:

• Kidney disease without diabetes 

• Acute renal trauma 

• Current UTI 

• Obstructive sleep apnea 

• Autoimmune or systemic vascular renal disease

 

Diagnostic and Management Strategy:

Albuminuria and/or decreased eGFR were observed among the diabetic patients, which confirmed a diabetic nephropathy diagnosis. Treatment followed institutional guidelines for standard glycemic control, blood pressure management, and RAS blockade.

 

Statistical Analysis:

Data were analysed with SPSS version 24.0. Means and standard deviations were used to describe continuous variables; frequencies and percentages were used to present categorical variables. The right statistical tests were used to compare groups, and a p-value of less than 0.05 was considered statistically significant.

RESULTS:

There were 100 participants that had diabetic nephropathy were recruited into the study. The mean age was 54.2 ± 11.8 years, and most were in the middle-aged and older cohorts. Stratification of participants was in accordance toHbA1c levels into good and poor control. Participants within the poor control group had significantly lower mean eGFR and greater disease progressions than those that were moderate control. There was a statistically significant adverse correlation of eGFR and HbA1c within the diabetic nephropathy population (p = 0.01). Among the population there was a greater advanced stage of diabetic nephropathy in those with greater and persistent poor control. Greater rates of diabetic nephropathy also were seen with progressively lower eGFR and lower HbA1c levels. Renal results demonstrated an overwhelming correlation to the degree of glycemic control.

 

Intervention Outcomes:

Patients who attain better control of their glycemic levels experience a more gradual decline in their renal function and a slower progression to more serious levels of diabetic nephropathy. Renal function was better in patients who had higher levels of HbA1c, which resulted in a beneficial impact from the continuous improvement of glycemic levels on the degree of ESRD progression.

                                                                                                                                                                    

Table 1. Baseline Demographic and Clinical Characteristics of Study Participants (n = 100)

Variable

Value

Age (years), mean ± SD

54.2 ± 11.8

Male sex, n (%)

58 (58%)

Female sex, n (%)

42 (42%)

Duration of diabetes (years), mean ± SD

10.6 ± 4.9

HbA1c (%), mean ± SD

8.7 ± 1.6

Systolic BP (mmHg), mean ± SD

138 ± 16

Diastolic BP (mmHg), mean ± SD

84 ± 10

Serum creatinine (mg/dL), mean ± SD

2.1 ± 0.9

eGFR (ml/min/1.73 m²), mean ± SD

48.6 ± 18.4

ACEi/ARB use, n (%)

72 (72%)

This table summarizes baseline demographic, glycemic, and renal characteristics of the study population. Data are expressed as mean ± standard deviation or frequency (percentage).

 

Table 2. Distribution of Diabetic Nephropathy Spectrum According to CKD Stage

CKD Stage

eGFR Range (ml/min/1.73 m²)

n (%)

Stage 1

≥90

6 (6%)

Stage 2

60–89

18 (18%)

Stage 3a

45–59

26 (26%)

Stage 3b

30–44

22 (22%)

Stage 4

15–29

18 (18%)

Stage 5

<15

10 (10%)

Patients were classified according to KDIGO chronic kidney disease staging based on estimated glomerular filtration rate, illustrating the clinical spectrum of diabetic nephropathy.

 

Table 3. Comparison of Renal Outcomes by Glycemic Control Status

Parameter

Good Control (HbA1c <7%)

Poor Control (HbA1c ≥9%)

p-value

Number of patients, n

38

42

Mean eGFR (ml/min/1.73 m²)

56.8 ± 15.9

41.2 ± 17.6

0.01

CKD stage progression, n (%)

8 (21.1%)

19 (45.2%)

0.02

ESRD progression, n (%)

4 (10.5%)

14 (33.3%)

0.01

Comparison of renal outcomes between patients with good and poor glycemic control. Poor glycemic control was significantly associated with lower eGFR, higher CKD progression, and increased risk of ESRD.

 

Table 4. Factors Associated with Progression to End-Stage Renal Disease

Variable

Odds Ratio (OR)

95% Confidence Interval

p-value

HbA1c ≥9%

3.4

1.4–8.1

0.006

Baseline eGFR <45 ml/min

4.1

1.8–9.2

0.001

Diabetes duration >10 years

2.6

1.1–6.0

0.03

Hypertension

2.2

1.0–4.9

0.04

ACEi/ARB non-use

1.9

0.8–4.4

0.09

Multivariable logistic regression analysis identifying predictors of progression to end-stage renal disease. Poor glycemic control and reduced baseline renal function were the strongest independent predictors.

DISCUSSION:

The study assessed the spectrum of clinical diabetic nephropathy and evaluated the effects of glycemic control on the progression of diabetic renal disease and end-stage renal disease (ESRD). The results showed that due to poor glycemic control and higher HbA1c levels, the accelerated decline of renal function, advancement in stage of chronic kidney disease (CKD) and higher ESRD risk are correlated. Thus, there are significant findings that underscore the importance of sustained glycemic control on adverse renal outcomes in patients with diabetic nephropathy [10]. The average age of the patients in this study was in line with previously documented cohorts, where diabetic nephropathy develops in middle-aged to older individuals with longstanding diabetes [11]. The stage of CKD that was documented was in line with the spectrum of diabetic nephropathy, showing that patients may present with different CKD stages. The findings highlight the heterogeneous spectrum of diabetic nephropathy. This relationship has also been documented in recent studies, both in high- and low-resource settings [12]. Our results show that patients with poor glycemic control (HbA1c ≥9%) also had significantly lower mean eGFR and higher frequencies of advancing CKD stages relative to those with adequate glycemic control [13]. This corresponds to recent cohort studies, which document higher levels of HbA1c as an independent factor associated with an increase in the rate of eGFR decline and increased kidney-related morbidity [14]. A comprehensive meta-analysis conducted within the last five years has also documented that every increase of 1% in HbA1c significantly increases the risk of an individual advancing in CKD and ESRD, therefore supporting the biological rationale of our results [15,16]. The association of glycemic control and advancement to ESRD, as demonstrated in the current study, corroborates current findings. Numerous longitudinal studies have confirmed that poor glycemic control continues to be a powerful predictor of ESRD even when accounting for initial renal function, blood pressure, and albuminuria [17]. Our multivariable analysis also pinpointed an elevated HbA1c and a lower baseline eGFR as cardinal predictors of ESRD, emphasising the principal role of hyperglycemia and even more so with renal impairment [18]. The most recent neurocognitive interventions and real-life studies have underscored the need for integrated restraint approaches that target glycemic control, blood pressure, and renin–angiotensin system blockade to be able to slow the progression of diabetic nephropathy [19]. Although Reno's protective effects have been proven in the recent glucose-lowering drugs, mainly SGLT2 inhibitors and GLP-1 receptor antagonists, poor glycemic control remains more prevalent in the everyday clinical practice of many resource-limited settings [20]. This might in part explain the greater burden of advanced CKD and ESRD that such populations have [21]. The current study enriches the body of literature with real-world evidence from a tertiary care setup, depicting routine clinical practice, as opposed to ideal situations encountered in clinical trials. This increases the external validity of the findings and reinforces the validity of the current guideline recommendations advocating for individualised and stringent glycemic control for renal protective effect [22]. Like any other study, this one also has some limitations, like, for instance, its observational design and somewhat small sample size, which may restrict the ability to draw causal conclusions. Nevertheless, the consistency of the findings with other recent large and extensive studies only adds to the confidence of the conclusions [23].

 

Limitations:        

This study has faults related to an observational design, which provides an inability to draw strong relations among associations. The small sample size, coupled with a single centre, may limit its external validity, i.e. generalizability. The lack of long-term follow-up, as well as missing time-averaged HbA1c measurements, impacts the estimation of the progression of the renal disease.

CONCLUSION:

The condition of diabetic nephropathy has a very broad range of clinical characteristics, and these characteristics are heavily affected by how well a patient maintains glycemic control. Those who maintain poor glycemic control are even more likely to experience a decline in renal function and progression to end-stage renal disease. If high-risk patients are identified early and glycemic control is sustained and optimised, it is possible to mitigate their negative renal outcomes in the long term.

Disclaimer: Nil

Conflict of Interest: Nil

Funding Disclosure: Nil

 

Authors Contributions

Concept & Design of Study: Shahid Rizwan Safeer

Drafting: Najm Uddin

Data Collection & Data Analysis:Kashif Iqbal

Critical Review: Muhammad Abbas

Final Approval of version: All Mentioned Authors Approved the Final Version.

REFERENCES:

1.            Alicic R, Nicholas SB. Diabetic Kidney Disease Back in Focus: Management Field Guide for Health Care Professionals in the 21st Century. Mayo Clinic proceedings. 2022;97(10):1904-19.

2.            Bosch C, Carriazo S, Soler MJ, Ortiz A, Fernandez-Fernandez B. Tirzepatide and prevention of chronic kidney disease. Clinical kidney journal. 2023;16(5):797-808.

3.            Cervantes CE, Hanouneh M, Jaar BG. From screening to treatment: the new landscape of diabetic kidney disease. BMC medicine. 2022;20(1):329.

4.            Cleveland KH, Schnellmann RG. Pharmacological Targeting of Mitochondria in Diabetic Kidney Disease. Pharmacological reviews. 2023;75(2):250-62.

5.            Forst T, Mathieu C, Giorgino F, Wheeler DC, Papanas N, Schmieder RE, et al. New strategies to improve clinical outcomes for diabetic kidney disease. BMC medicine. 2022;20(1):337.

6.            Gallieni M, De Salvo C, Lunati ME, Rossi A, D'Addio F, Pastore I, et al. Continuous glucose monitoring in patients with type 2 diabetes on hemodialysis. Acta diabetologica. 2021;58(8):975-81.

7.            Gembillo G, Visconti L, Giuffrida AE, Labbozzetta V, Peritore L, Lipari A, et al. Role of Zinc in Diabetic Kidney Disease. Nutrients. 2022;14(7).

8.            Gupta P, Gupta R, Gupta AK. Glycemic Control in Patients with Diabetic Kidney Disease; Time to Recognize Perils of Iatrogenic Hypoglycemia?Moving away from Intensive Glycemic Control. The Journal of the Association of Physicians of India. 2018;66(9):70-5.

9.            Hammad N, Hassanein M, Rahman M. Diabetic Kidney Care Redefined with a New Way into Remission. Endocrinology and metabolism clinics of North America. 2023;52(1):101-18.

10.          Lee JF, Berzan E, Sridhar VS, Odutayo A, Cherney DZI. Cardiorenal Protection in Diabetic Kidney Disease. Endocrinology and metabolism (Seoul, Korea). 2021;36(2):256-69.

11.          Li J, Albajrami O, Zhuo M, Hawley CE, Paik JM. Decision Algorithm for Prescribing SGLT2 Inhibitors and GLP-1 Receptor Agonists for Diabetic Kidney Disease. Clinical journal of the American Society of Nephrology : CJASN. 2020;15(11):1678-88.

12.          Liu H, Sridhar VS, Boulet J, Dharia A, Khan A, Lawler PR, et al. Cardiorenal protection with SGLT2 inhibitors in patients with diabetes mellitus: from biomarkers to clinical outcomes in heart failure and diabetic kidney disease. Metabolism: clinical and experimental. 2022;126:154918.

13.          MacIsaac RJ, Jerums G, Ekinci EI. Glycemic Control as Primary Prevention for Diabetic Kidney Disease. Advances in chronic kidney disease. 2018;25(2):141-8.

14.          Nicotera R, Casarella A, Longhitano E, Bolignano D, Andreucci M, De Sarro G, et al. Antiproteinuric effect of DPP-IV inhibitors in diabetic and non-diabetic kidney diseases. Pharmacological research. 2020;159:105019.

15.          Pavkov ME, Collins AJ, Coresh J, Nelson RG. Kidney Disease in Diabetes. In: Cowie CC, Casagrande SS, Menke A, Cissell MA, Eberhardt MS, Meigs JB, et al., editors. Diabetes in America. Bethesda (MD) conflicts of interest, with the following potential exceptions. Dr. Coresh received grant support from the National Kidney Foundation. Dr. Coresh possesses rights to the following intellectual property: PCT/US2015/044567 Provisional patent (Coresh, Inker, and Levey) filed August 15, 2014—Precise estimation of glomerular filtration rate from multiple biomarkers. The technology is not licensed in whole or in part to any company. Tufts Medical Center, Johns Hopkins University, and Metabolon, Inc. have a collaboration agreement to develop a product to estimate glomerular filtration rate from a panel of markers (June 25, 2016). Dr. Coresh is a member of the Global Hyperkalemia Council (sponsored by Relypsa, no personal compensation). National Institute of Diabetes and Digestive and Kidney Diseases (US); 2018.

16.          Rhee CM, Kovesdy CP, Ravel VA, Streja E, Sim JJ, You AS, et al. Glycemic Status and Mortality in Chronic Kidney Disease According to Transition Versus Nontransition to Dialysis. Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation. 2019;29(2):82-90.

17.          Rhee EJ. Extra-Glycemic Effects of Anti-Diabetic Medications: Two Birds with One Stone? Endocrinology and metabolism (Seoul, Korea). 2022;37(3):415-29.

18.          Roy S, Schweiker-Kahn O, Jafry B, Masel-Miller R, Raju RS, O'Neill LMO, et al. Risk Factors and Comorbidities Associated with Diabetic Kidney Disease. Journal of primary care & community health. 2021;12:21501327211048556.

19.          Taylor SI, Yazdi ZS, Beitelshees AL. Pharmacological treatment of hyperglycemia in type 2 diabetes. The Journal of clinical investigation. 2021;131(2).

20.          Umanath K, Lewis JB. Update on Diabetic Nephropathy: Core Curriculum 2018. American journal of kidney diseases : the official journal of the National Kidney Foundation. 2018;71(6):884-95.

21.          Wang JS, Yen FS, Lin KD, Shin SJ, Hsu YH, Hsu CC. Epidemiological characteristics of diabetic kidney disease in Taiwan. Journal of diabetes investigation. 2021;12(12):2112-23.

22.          William JH, Morales A, Rosas SE. When ESKD complicates the management of diabetes mellitus. Seminars in dialysis. 2020;33(3):209-22.

23.          Zheng W, Guo J, Liu ZS. Effects of metabolic memory on inflammation and fibrosis associated with diabetic kidney disease: an epigenetic perspective. Clinical epigenetics. 2021;13(1):87.