Scholarlink

Purpose <p>Renal trauma constitutes approximately 1% of all trauma cases, yet data on long-term renal function following severe injury remain scarce. This study aimed to evaluate long-term functional and morphological outcomes in patients sustaining Grade 3 or higher renal trauma, and to identify predictors of residual renal function using nuclear imaging.</p> Methods <p>This retrospective study included patients with Grade ≥ 3 renal injuries who presented for follow-up ≥ 6 months after trauma at a tertiary care centre between January 2018 and June 2023. Patients with nephrectomy or comorbidities affecting renal function were excluded. Serum renal function tests, DTPA scans (differential GFR), and DMSA scans (cortical morphology and dye uptake) were performed. Multivariable linear regression was used to determine predictors of residual function based on injury grade, gender, and duration of follow-up.</p> Results <p>Thirty-six patients (mean age 20.50 ± 12.08 years; 75% male) were included with equal representation across Grades 3–5. Mean follow-up was 35.92 ± 18.09 months. The affected kidney demonstrated reduced function (mean GFR 24.96 ± 12.50 mL/min; split function 31.83 ± 12.69%; dye uptake 35.71 ± 13.40%). Grade 5 injuries were significantly associated with lower differential GFR and dye uptake (<i>p</i> &lt; 0.01), while longer follow-up duration and female sex predicted better renal recovery (<i>p</i> &lt; 0.01). Scarring was observed in 66.7% and contraction in 41.7% of affected kidneys.</p> Conclusion <p>Severe (Grade 5) renal injuries are associated with marked and likely irreversible functional loss, whereas Grade 3–4 injuries demonstrate gradual improvement over time. Nuclear imaging offers valuable long-term assessment, and predictive equations derived from clinical variables may aid functional estimation in resource-limited settings.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Long-term renal function after high-grade renal trauma: a nuclear imaging based cohort study

  • 期刊论文

  • 发表日期：

    2026年4月23日

查看全文
  • Mehul Saxena,
  • Yadvendra Dheer,
  • Shubhajeet Roy,
  • Utkarsh Singh,
  • Satyawati Deswal,
  • Narendra Kumar,
  • Anita Singh,
  • Vaibhav Jaiswal,
  • Samir Misra,
  • Sandeep Tiwari,
  • Aastha Upadhyay,
  • Md Kaif Khan,
  • Mohammed Ahsan

摘要

Purpose

Renal trauma constitutes approximately 1% of all trauma cases, yet data on long-term renal function following severe injury remain scarce. This study aimed to evaluate long-term functional and morphological outcomes in patients sustaining Grade 3 or higher renal trauma, and to identify predictors of residual renal function using nuclear imaging.

Methods

This retrospective study included patients with Grade ≥ 3 renal injuries who presented for follow-up ≥ 6 months after trauma at a tertiary care centre between January 2018 and June 2023. Patients with nephrectomy or comorbidities affecting renal function were excluded. Serum renal function tests, DTPA scans (differential GFR), and DMSA scans (cortical morphology and dye uptake) were performed. Multivariable linear regression was used to determine predictors of residual function based on injury grade, gender, and duration of follow-up.

Results

Thirty-six patients (mean age 20.50 ± 12.08 years; 75% male) were included with equal representation across Grades 3–5. Mean follow-up was 35.92 ± 18.09 months. The affected kidney demonstrated reduced function (mean GFR 24.96 ± 12.50 mL/min; split function 31.83 ± 12.69%; dye uptake 35.71 ± 13.40%). Grade 5 injuries were significantly associated with lower differential GFR and dye uptake (p < 0.01), while longer follow-up duration and female sex predicted better renal recovery (p < 0.01). Scarring was observed in 66.7% and contraction in 41.7% of affected kidneys.

Conclusion

Severe (Grade 5) renal injuries are associated with marked and likely irreversible functional loss, whereas Grade 3–4 injuries demonstrate gradual improvement over time. Nuclear imaging offers valuable long-term assessment, and predictive equations derived from clinical variables may aid functional estimation in resource-limited settings.