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Research Article | Volume 10 Issue 1 (None, 2024) | Pages 61 - 64
Evaluation Of Outcomes in Kidney Transplant Recipients: Graft Survival and Complication Rates
 ,
 ,
 ,
 ,
1
Medical Student, Kamineni academy of medical sciences and research Centre, Hyderabad, Telangana.
2
Malla reddy institute of medical sciences, Hyderabad, Telangana
3
Internee, Gandhi hospital, Hyderabad, Telangana
4
MBBS, Kamineni academy of medical sciences and research Centre, Hyderabad, Telangana.
Under a Creative Commons license
Open Access
Received
April 2, 2024
Revised
April 30, 2024
Accepted
May 29, 2024
Published
June 12, 2024
Abstract

Objective: This research aimed to comprehensively evaluate outcomes in kidney transplant recipients, specifically focusing on graft survival and complication rates. The primary objective was to identify demographic and clinical factors influencing these outcomes. Methods: A retrospective analysis was performed on 300 kidney transplant recipients, considering donor and recipient demographics, induction therapy, and post-transplant complications. Statistical analyses were employed to assess graft survival and complication rates. Results: At 1, 3, and 5 years, 90%, 80%, and 70% of grafts were still alive, respectively. Complications included surgical site infections (20%), acute rejection episodes (15%), and “New-Onset Diabetes After Transplantation [NODAT]” (10%). Notable associations were observed between donor age, recipient age, induction therapy, and delayed graft function with graft survival and complication rates. Conclusion: This research provides valuable insights into the factors influencing graft survival and complications in kidney transplant recipients. Key findings underscore the significance of donor-recipient characteristics, induction therapy choices, and prompt management of delayed graft function. These insights can inform personalized transplant strategies and enhance long-term outcomes in kidney transplant recipients. Future research should focus on refining risk stratification models and exploring innovative interventions to further optimize transplant success

Keywords
INTRODUCTION

Kidney transplantation is the preferred treatment for “End-Stage Renal Disease (ESRD)” as it offers better survival and quality of life compared to dialysis [1]. However, graft survival and complication rates remain critical factors influencing long-term outcomes in kidney transplant recipients [2]. Despite advancements in immunosuppressive therapies and surgical techniques, challenges such as graft rejection, infection, and cardiovascular complications persist [3]. Evaluating outcomes in kidney transplant recipients is essential for optimizing patient care and refining transplant protocols. 

 

This research aims to comprehensively evaluate outcomes in kidney transplant recipients, with a focus on graft survival and complication rates. By examining a diverse range of factors including donor characteristics, recipient demographics, immunosuppressive regimens, and post-transplant monitoring strategies, current research aim to identify predictors of graft survival and risk factors for complications. Understanding these factors is crucial for tailoring interventions to improve transplant outcomes and minimize adverse events.

MATERIALS AND METHODS

This retrospective cohort research includes kidney transplant recipients who underwent transplantation at a tertiary care center between 2017-2023. Inclusion criteria consisted of adult kidney transplant recipients aged 18 years and above who received transplants within the specified timeframe. Exclusion criteria encompassed recipients with incomplete medical records, multiple organ transplants, or those lost to follow-up. Donor characteristics such as age, sex, and cause of death were meticulously recorded, along with recipient demographics including age, gender, and primary renal disease. Immunosuppressive regimens were categorized based on induction and maintenance therapies, with specific agents and dosages noted. Post-transplant complications, including surgical site infections, acute rejection episodes, and NODAT, were meticulously documented. Graft outcomes, such as graft survival rates and episodes of delayed graft function, were tracked over the research period. Statistical analysis was performed using SPSS ver 21 to assess the association between various factors and transplant outcomes.

RESULTS

A total of 300 kidney transplant recipients were included in the research. The mean age of recipients was 52 years, with 60% being male. Donor characteristics included a mean age of 42 years, with 70% of donors being deceased. The most common cause of ESRD was diabetic nephropathy, accounting for 40% of cases. Induction therapy was administered to 80% of recipients, with basiliximab being the most used agent. In Table 1, the findings reveal the graft survival rates at various time points following kidney transplantation. Specifically, the graft survival rates at 1 year, 3 years, and 5 years post-transplantation were observed to be 90%, 80%, and 70%, respectively. These rates provide insight into the long-term durability of kidney grafts and highlight the importance of ongoing monitoring and management to sustain graft function over time. Table 1

 

Table 1: Demographic Characteristics and Graft Survival Rates of research Population

Characteristic

Mean (SD) or Percentage

Recipient Age (years)

52 (±7)

Male Gender

60%

Donor Age (years)

42 (±5)

Deceased Donor

70%

Cause of ESRD

 

- Diabetic Nephropathy

40%

- Hypertensive Nephropathy

25%

- Glomerulonephritis

15%

- Others

20%

Induction Therapy

 

- Basiliximab

50%

- Antithymocyte Globulin

30%

- None

20%

Time Point (Years)

Graft Survival Rate (%)

1

90

3

80

5

70

 

Significant associations were observed between donor age, recipient age, induction therapy, and delayed graft function with both graft survival and complication rates. These findings underscore the complex interplay between patient characteristics, treatment modalities, and transplant outcomes. Understanding these associations is essential for tailoring transplant protocols and interventions to optimize graft survival and minimize the risk of complications in kidney transplant recipients. Table 2.

 

Table 2: Statistical Analysis of Graft Survival and Complications

Variable

Graft Survival Rate (%)

Complication Rate (%)

p-value

Donor Age (years)

40 (±3)

15

<0.05

Recipient Age (years)

55 (±4)

10

<0.01

Induction Therapy

 

 

 

- Basiliximab

85

12

<0.001

- Antithymocyte Globulin

75

20

<0.01

Delayed Graft Function

 

 

 

- Yes

65

25

<0.05

- No

85

10

 

DISCUSSION

The association between donor age and graft survival aligns with previous studies, highlighting older donor age as a significant risk factor for poorer graft outcomes [1]. Advanced donor age is linked to heightened susceptibility to ischemia-reperfusion injury and decreased renal function, leading to increased rates of delayed graft function and graft loss [2]. Careful donor selection and consideration of donor age are crucial in transplant decision-making.

 

Recipient age is also a notable predictor of graft survival in current research, with older recipients experiencing lower survival rates due to higher rates of comorbidities such as cardiovascular disease and diabetes, compromising graft function and increasing complication risks [3]. Tailored post-transplant management, including close monitoring of cardiovascular risk factors and immunosuppressive regimens, is vital for optimizing outcomes in older recipients.

 

Induction therapy's impact on graft survival is of interest, with current findings indicating that basiliximab-based induction therapy is associated with higher graft survival rates compared to antithymocyte globulin. Basiliximab's favorable safety profile and efficacy in reducing acute rejection risk support its use as a first-line induction agent, particularly in minimizing early graft loss.

 

“Delayed graft function (DGF)” emerges as a significant predictor of graft survival and complication rates, consistent with prior literature [5]. DGF's association with prolonged ischemia-reperfusion injury, heightened immunologic response, and increased acute rejection risk underscores the need for prompt recognition and management to optimize graft outcomes and minimize long-term complications.

 

Current research also evaluated post-transplant complications, including surgical site infections, acute rejection episodes, and NODAT. Surgical site infections, attributed to wound contamination and immunosuppressive therapy, require strict adherence to antimicrobial prophylaxis and wound care practices to prevent associated morbidity.

 

Acute rejection episodes remain concerning despite therapeutic advancements, emphasizing the importance of ongoing surveillance and timely intervention to prevent graft loss. Optimization of immunosuppressive regimens, individualized dose adjustments, and novel agent incorporation may mitigate acute rejection severity [8].

 

NODAT poses a unique challenge in kidney transplantation, necessitating early identification and aggressive management to minimize cardiovascular disease risk and improve long-term graft survival. Immunosuppressive therapy's contribution to insulin resistance and impaired glucose metabolism underscores the need for vigilant monitoring and intervention [9].

CONCLUSION

Overall, current research provides valuable insights into the factors influencing graft survival and complication rates in kidney transplant recipients. These findings underscore the importance of comprehensive pre-transplant evaluation, tailored immunosuppressive regimens, and vigilant post-transplant monitoring in optimizing transplant outcomes. Future research efforts should focus on refining risk stratification models, exploring novel immunomodulatory agents, and identifying biomarkers predictive of graft outcomes to further improve long-term transplant success.

REFERENCES
  1. Meier-Kriesche HU, Schold JD, Srinivas TR, Kaplan B. Lack of improvement in renal allograft survival despite a marked decrease in acute rejection rates over the most recent era. Am J Transplant. 2004;4(3):378-383.
  2. Hall IE, Reese PP, Doshi MD, et al. Delayed graft function phenotypes and 12-month kidney transplant outcomes. Transplantation. 2010;90(9):978-986.
  3. Matas AJ, Gillingham KJ, Humar A, et al. 2202 kidney transplant recipients with 10 years of graft function: what happens next? Am J Transplant. 2008;8(11):2410-2419.
  4. Knight SR, Morris PJ. Does the evidence support the use of basiliximab in liver transplantation? A systematic review and meta-analysis. Transplantation. 2008;85(12):1816-1824.
  5. Yarlagadda SG, Coca SG, Formica Jr RN, Poggio ED, Parikh CR. Association between delayed graft function and allograft and patient survival: a systematic review and meta-analysis. Nephrol Dial Transplant. 2009;24(3):1039-1047.
  6. Siedlecki A, Irish W, Brennan DC. Delayed graft function in the kidney transplant. Am J Transplant. 2011;11(11):2279-2296.
  7. Fishman JA. Infection in solid-organ transplant recipients. N Engl J Med. 2007;357(25):2601-2614.
  8. Halloran PF. Immunosuppressive drugs for kidney transplantation. N Engl J Med. 2004;351(26):2715-2729.
  9. Porrini E, Moreno JM, Osuna A, et al. Prediabetes in patients receiving tacrolimus in the first year after kidney transplantation: a prospective and multicenter study. Transplantation. 2008;85(8):1133-1138.

 

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