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Running Head: Renal function after partial nephrectomy, Yu et al. 

 

Significance of Glucose Control for Perioperative and Long-Term Renal Functions after 

Nephron-sparing Surgery for Renal Cancer in Patients with Diabetes 

  

Seong Hyeon Yu, Seong Jong Eun, Taek Won Kang    

 

Department of Urology, Chonnam National University Medical School, Chonnam National 

University Hospital, Gwangju, Korea 

 

Keywords: nephrons, sparing, surgery, risk factors, kidney, function 

  



 

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ABSTRACT 

 

Purpose: This study aimed to evaluate the predictive factors for perioperative and long-term 

renal functions after nephron-sparing surgery (NSS). 

Materials and Methods: The clinical records of 379 patients who underwent NSS for a single 

renal tumor with a normal contralateral kidney between 2009 and 2016 were retrospectively 

analyzed. After surgery, the occurrence of acute kidney injury (AKI) within 7 days and the 

progression of chronic kidney disease (CKD) 5 years later were assessed using serum creatinine 

(S-Cr) levels. Perioperative AKI was defined as an increase in the S-Cr level by ≥ 0.3 mg/dL 

or 1.5–1.9 times the baseline value. CKD was defined as the estimated glomerular filtration 

rate (eGFR) decreasing from > 60 mL/min/1.73 m2 to < 60 mL/min/1.73 m2.  

Results: Changes in the eGFR were assessed during 5 years after surgery. Among 379 patients, 

81 (21.4%) patients presented diabetes mellitus (DM), and 30 (7.92%) experienced 

uncontrolled DM. The AKI occurrence and CKD progression were observed in 50 (13.2%) 

patients and 79 (20.8%) patients, respectively. Multivariable analyses revealed that female 

gender (95% confidence interval [CI]: 0.16–0.91, odds ratio [OR] = 0.39, P = 0.029), 

uncontrolled DM (95% CI: 1.05–6.60, OR = 2.63, P = 0.039), and intermediate NePhRO score 

(95% CI: 1.07–3.80, OR = 2.02, P = 0.03) were associated with perioperative AKI. In addition, 

old age (95% CI: 1.10–1.18, OR = 1.14, P < 0.001) and uncontrolled DM (95% CI: 1.84–11.4, 

OR = 4.57, P = 0.001) were associated with long-term CKD progression. 

Conclusion: Uncontrolled DM is the only predictive factor for perioperative and long-term 

renal functions after nephron-sparing surgery. 

  



 

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INTRODUCTION 

The incidence of renal tumors has increased during the past decades. (1) Recently, the 

development of imaging modalities has led to a decrease in the size and stage migration of 

newly detected incidental renal tumors. Nephron-sparing surgery (NSS) is currently the 

treatment of choice for the surgical management of these earlier diagnosed small renal tumors 

because of its good overall survival (OS) with no compromise in oncologic results and minimal 

renal function deterioration (RFD). (2) Several previous studies have reported that RFD after 

NSS may depend on the patient’s body mass index (BMI), radiologic size of the tumor, quantity 

of preserved functional parenchyma volume, ischemic time during surgery, and length of 

surgery. (3-5) The incidence of type 2 diabetes mellitus (T2DM), one of the most important 

causes of kidney disease, has also increased markedly in recent decades. (6) However, a few 

reports have mentioned the role of underlying T2DM affecting RFD after NSS. (7,8) In addition, 

along with T2DM, well-controlled blood sugar levels may also play an important role. This 

study aimed to determine the factors for RFD after NSS in patients with a renal tumor. 

 

MATERIALS AND METHODS  

1. Subjects and the study design 

This retrospective study screened the patients who underwent NSS for a single renal tumor in 

our hospitals (Chonnam National University Hospital and Chonnam National University 

Hwasun Hospital, Korea) between January 2009 and December 2016. A total of 478 patients 

were initially enrolled in this study. Detailed medical history, including age, sex, BMI, 

hypertension, diabetes mellitus (DM), the operation site, total operation time, operation 

methods, preoperative hemoglobin level, pathologic T stage, the occurrence of perioperative 

AKI, and progression of postoperative long-term chronic kidney disease (CKD), were collected 



 

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from each patient’s medical record. Patients with follow-up loss within 5 years, preoperative 

CKD, bilateral renal tumors, and lack of medical records for perioperative AKI and 

postoperative long-term CKD were excluded from the study. A total of 379 out of 478 patients 

were found eligible for the final analysis.  

 

2. Data collection, definition, and the assessment of renal functions 

Serum creatinine (SCr) levels were measured at the following periods: preoperatively, during 

admission, and postoperative annual follow-ups during 5 years. The zonal NePhRO score 

(comprising the Nearness to collecting system and Physical zones, Radius, and Organization 

of the tumor) before surgery for predicting the surgical complexity of a renal lesion was 

calculated as low (4–6), intermediate (7–9), or high (10–12). (9) Kidney cancer staging was 

based on the American Joint Committee on Cancer staging manual. (10) Uncontrolled DM was 

defined as the level of glycosylated hemoglobin (HbA1c) in the blood maintained at ≥ 7%. (11) 

Perioperative AKI within 7 days from partial nephrectomy was defined and classified 

according to the severity as stage 1 (increase in the SCr levels by ≥ 0.3 mg/dL or 1.5–1.9 times 

the baseline value), stage 2 (increase in the SCr level by 2.0–2.9 times the baseline value), and 

stage 3 (increase in the SCr level by ≥ 4.0 mg/dL or ≥ 3.0 times the value at baseline or initiation 

of renal replacement therapy). (12) The urine output was not accounted for because the data was 

collected retrospectively. Postoperative long-term CKD was defined as a decrease in the 

estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 5 years later from partial 

nephrectomy in patients with a preoperative eGFR > 60 mL/min/1.73 m2. 

 

3. Statistical Analyses 

Statistical analyses were performed using STATA version 16.1 (StataCorp., College Station, 



 

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Texas, USA). Continuous variables are represented as the mean values with standard deviations 

(SD); categorical variables are presented as frequencies (%). The Student’s t-test for continuous 

variables and Pearson chi-square test for categorical variables were used to compare the clinical 

characteristics according to the occurrence of perioperative AKI and progression of 

postoperative long-term CKD. In addition, using multivariable logistic regression analysis by 

selecting significant variables through univariate analysis, the predictive factors for 

perioperative and postoperative long-term renal outcomes were analyzed. Statistical 

significance was set at p<0.05 for all analyses. 

 

4. Ethics statement 

The study protocol was reviewed and approved by the Institutional Review Board (IRB) of the 

Chonnam National University Hospital Research Institute of Clinical Medicine (IRB approval 

no.: CNUH-2021-367). The study was performed in accordance with the Declaration of 

Helsinki and the Ethical Guidelines for Clinical Studies. 

  



 

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RESULTS 

Characteristics of the patients who were eligible for the final analysis are summarized in Table 

1. The patients’ mean age and BMI were 58.4 ± 11.9 years and 25.0 ± 3.09 kg/m2, respectively. 

Among 379 patients, 155 (40.9%), 81 (21.4%), and 30 (7.92%) patients presented hypertension, 

DM, and uncontrolled DM, respectively. According to preoperative NePhRO score calculation, 

188 (49.6%) patients exhibited intermediate risk, with ≥ 7 points. The mean operation time was 

124.3 ± 45.1 min, and 277 (73.1%) patients underwent laparoscopic surgery. The numbers of 

patients exhibiting stages T1a, T1b, T2, and T3 renal cancer were 315 (83.1%), 59 (15.6%), 3 

(0.8%), and 2 (0.5%), respectively. Regarding the perioperative and postoperative long-term 

renal functions, 50 (13.2%) patients experienced perioperative AKI, while 79 (20.8%) patients 

showed progression to postoperative long-term CKD. 

Based on the results of clinical features according to the perioperative AKI occurrence, the 

perioperative AKI group was significantly associated with old age (57.9 ± 11.7 years vs. 62.0 

± 13.0 years, P = 0.021), female sex (72.0% vs. 86.0%, P = 0.036), intermediate risk of 

NePhRO score (47.4% vs. 64.0%, P = 0.029), and uncontrolled DM (6.7% vs. 16.0%, P = 

0.033) compared to the other group (Table 2). Furthermore, comparing the clinical features 

according to the progression of postoperative long-term CKD revealed that the postoperative 

long-term CKD group was significantly associated with old age (55.8 ± 11.3 years vs. 68.5 ± 

8.16 years, P < 0.001), low preoperative hemoglobin (7.3% vs. 22.8%, P < 0.001), hypertension 

(37.7% vs. 53.2%, P = 0.013), and uncontrolled DM (5.0% vs. 19.0%, P < 0.001) (Table 3). 

The predictive factors associated with perioperative and postoperative long-term renal 

functions after NSS are detailed in Tables 4 and 5. Univariate analyses revealed a significant 

association of old age, male sex, intermediate risk of NePhRO score, and uncontrolled DM 

with the occurrence of perioperative AKI (P = 0.023, P = 0.041, P = 0.031, and P = 0.018, 



 

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respectively). In addition, multivariable analyses showed female sex (95% confidence interval 

[CI]: 0.16–0.91, odds ratio [OR]: 0.39, P = 0.029), intermediate risk of NePhRO score (95% 

CI: 1.07–3.80, OR 2.02, P = 0.03), and uncontrolled DM (95% CI: 1.05–6.60, OR 2.63, P = 

0.039) as significant factors associated with perioperative and postoperative long-term renal 

functions after NSS. Regarding postoperative long-term CKD, univariate analyses revealed old 

age, hypertension, low preoperative Hgb, controlled DM, and uncontrolled DM as significant 

factors (P < 0.001, P = 0.013, P < 0.001, P = 0.004, and P < 0.001, respectively). However, 

multivariable analyses showed only old age (95% CI: 1.10–1.18, OR 1.14, P < 0.001) and 

uncontrolled DM (95% CI: 1.84–11.4, OR 4.57, P = 0.001) as significant factors associated 

with the progression of postoperative long-term CKD.  

  



 

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DISCUSSION   

With the development of imaging modalities and growing interest in individual health 

examinations, the incidence of newly detected incidental renal tumors is increasing. NSS is 

recommended in the guidelines on the management of renal cell carcinoma as the standard 

treatment for clinical T1 stage renal tumors. (13) Furthermore, NSS has the advantage of 

preserving the renal function and potential cardiovascular and OS with CKD avoidance. (2,14) 

However, despite successful operations, RFD after NSS is common in some cases. Therefore, 

in the present study, we focused on perioperative and long-term renal functions after NSS, and 

our results showed that uncontrolled DM is the only independent factor affecting both functions. 

To date, several studies reported the possible predictive factors for RFD after NSS, including 

the patient’s BMI and comorbidities, renal tumor size, the quantity of preserved functional 

parenchyma volume, intraoperative ischemic time, and total surgical time. (3-5) Among these 

factors, many physicians have suggested that RFD can be minimized by modifiable surgery-

related factors, such as reduced warm ischemic time (WIT). Theoretically, warm ischemia-

related RFD can be explained via postulated pathophysiological mechanisms, such as 

mechanical obstruction of microvessels by leukocytes and platelets and postischemic 

vasoconstriction with endothelial damage followed by reperfusion injury. (15) Porpiglia et al. 

reported that kidney damage occurs during laparoscopic partial nephrectomy (LPN) when WIT 

is more than 30 min. (16)  Erdem et al. included 127 patients who underwent elective LPN and 

reported that prolonged WIT (> 27.75 min) was the strongest independent predictor of 

postoperative CKD. (17) Based on these results, it has been recently recommended to avoid WIT 

for more than 30 min.  

There is increasing evidence that the quantity and quality of preserved renal parenchyma play 

important roles in RFD in patients who received NSS; hence, the effects of WIT on RFD have 



 

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been debated continuously. In an animal study with a solitary kidney model, WIT up to 90 min 

was well-tolerated by nephrons, and postoperative renal function was recovered within only 2 

weeks. (18) Similarly, prolonged WIT (>27.75 min) in the human kidney can lead to a renal 

functional loss in the early postoperative period, but this was recovered during the intermediate 

term follow-up period of 2 years in patients with a contralateral functioning kidney. (17) Erdem 

et al. recently reported that although overextended WIT (> 40 min) can cause significant 

postoperative RFD, the functional loss can be recovered at the median follow-up period of 3 

years in patients with contralateral functioning kidneys. (7) Furthermore, Dong et al. found that 

patients with WIT > 35 min have lower median recovery from ischemia, although not 

significantly different from patients with a WIT < 35 min, and warm ischemia was associated 

with only a 2.5% decrease in functional recovery for every additional 10 min. (19) Considering 

these results, we carefully suggested that WIT is not a significant predictive factor for long-

term renal function after NSS. In the present study, the investigated WIT was not > 40 min 

(mean WIT; 24.3 ± 8.88 minutes, data not shown), and total surgery time was not associated 

with perioperative and long-term renal functions after NSS. 

The surgical complexity of a renal tumor can be a surgery-related factor affecting RFD after 

NSS. This may cause intraoperative complications, including increased blood loss, prolonged 

ischemia time, and a greater loss of functional renal parenchyma, and thereby affect 

perioperative and long-term renal functions (9,20) In the present study, the surgical complexity 

of a renal tumor was calculated before surgery, and more than intermediate risk was associated 

with the perioperative AKI occurrence. However, its association with the progression of 

postoperative long-term CKD was not observed. This might be explained by the findings that 

an early postoperative renal functional loss due to surgery-related factors could be recovered 

at the long-term follow-up period.  



 

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Recently, patient-related factors of RFD after NSS, such as BMI, hypertension, and DM, have 

also been considered. In fact, hypertension and DM are the most common patient-related 

factors affecting renal functions and are known to be significantly associated with CKD. (21) In 

particular, T2DM has been known to significantly reduce the OS in patients with renal cell 

carcinoma. (22) In line with these results, several studies have evaluated the associations among 

patient-related factors and RFD after NSS. Demirjian et al. classified patients presenting a new 

CKD after NSS into two groups, including medically- and surgically-induced CKD. The 

surgically-induced CKD group had a lower rate of functional decline and less impact on 

survival than medically-induced CKD groups. (23) Similarly, Satasivam et al. found that DM 

was one of the crucial independent risk factors, and 42% of patients with DM progressed to 

stage 3 or greater CKD, whereas WIT had no impact on RFD. (8) In addition, DM has been 

reported as the only independent predictor for both postoperative and long-term renal functions 

in patients who underwent NSS, regardless of WIT. (7) These findings might indicate that the 

patient-related factor has a more important role in the CKD progression during the follow-up 

period, whereas the surgery-related factor has only a temporary role in postoperative short-

term RFD.  

To our knowledge, no study has yet reported the association between blood sugar control in 

diabetic patients and perioperative and long-term renal functions after NSS. Therefore, this 

study is possibly the first report stating that uncontrolled DM has a significant effect on RFD 

after NSS in patients with normal baseline kidney function. Comparisons of clinical features 

according to perioperative AKI and postoperative long-term CKD in this study showed that the 

percentage of uncontrolled DM patients was significantly higher in both groups. Furthermore, 

in multivariable analyses, uncontrolled DM was found to be the only predictive factor affecting 

both states. Patients with uncontrolled DM presented approximately 4.5-fold greater risk than 



 

11 

 

patients without DM, especially in postoperative long-term CKD progression at 5 years. As in 

previous studies, although uncontrolled DM can be thought to further affect RFD by causing 

serious microvascular complications, (11,24) several prospective, pathophysiologic, or 

molecular-level studies on the correlation of associations among uncontrolled DM, 

perioperative AKI, and postoperative long-term CKD should be conducted in the future. 

In the present study, 50 patients presented perioperative AKI, and 79 patients showed 

progression to postoperative long-term CKD. However, only 22 patients with perioperative 

AKI showed progression to postoperative long-term CKD, while 59 patients experienced a new 

progression of CKD during the long-term follow-up period of 5 years. These finding implies 

that preserving the functional renal volume alone might not be sufficient; optimized DM 

control with medical reno-protection is essential for preventing RFD after surgery. Additionally, 

further studies are needed to evaluate the patient-related factors of postoperative renal function.  

The present study has several limitations. First, it was a retrospective study with relatively 

small sample size and heterogeneity in patient characteristics and conducted at a single 

institution. Despite partial nephrectomy being performed by urologic specialists, the quality of 

these tasks could present inter-performer biases. Second, data on preoperative proteinuria, 

which is a significant contributor to kidney function, were not considered. (25) Third, the 

severity of hypertension, which is also a predictive factor for CKD, was not assessed. (21) In the 

present study, hypertension was not found to be associated with perioperative AKI and 

postoperative long-term CKD. Fourth, we did not consider the ischemia time, because it was 

not available for approximately 25% in our database. Instead of ischemia time, we assessed the 

total surgery time as predictive factor, it was not significant. Finally, we did not use volumetric 

analyses or scintigraphy methods to assess preserved ipsilateral renal function. However, 

uncontrolled DM being first reported as the predictive factor of postoperative renal function 



 

12 

 

after NSS, especially during the long-term follow-up period (5 years), is the strength of this 

study.  



 

13 

 

CONCLUSION  

 In the present study, uncontrolled DM was the only predictive factor for perioperative and 

long-term renal functions in patients after NSS. Based on this result, physicians should consider 

optimized DM control with medical reno-protection to be important for minimal postoperative 

RFD at the time of counseling of renal cell carcinoma patients scheduled for NSS.  

 

SUMMARY 

 

In the presents study, we investigated the predictive factors for perioperative and long-term 

renal functions after nephron-sparing surgery. We identified that uncontrolled DM is the 

independent factor affecting both functions. Our results can emphasize the significance of 

glucose control after nephron-sparing surgery for patients with renal cancer. 

 

CONFLICTS OF INTEREST: The authors have nothing to disclose. 

 

ACKNOWLEDGMENTS 

This study was supported by a grant (CRI 15 002-1) received from the Chonnam National 

University Hospital Biomedical Research Institute. 

 

AUTHOR CONTRIBUTION 

Research conception and design, Data acquisition, Statistical analysis: Seong Hyeon Yu, 

Taek Won Kang  

Data analysis and interpretation: Seong Hyeon Yu, Seong Jong Eun 

Drafting of the manuscript: Seong Hyeon Yu, 

Critical revision of the manuscript for scientific and factual content: Taek Won Kang 

 

Orcid ID  

Seong Hyeon Yu https://orcid.org/0000-0002-1761-2025  

https://orcid.org/0000-0002-1761-2025


 

14 

 

Seong Jong Eun https://orcid.org/0000-0003-1476-6608 

Taek Won Kang https://orcid.org/0000-0002-7708-819X 

 

 

https://orcid.org/0000-0003-1476-
https://orcid.org/0000-0002-7708-819


 

15 

 

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characteristics of surgically treated renal mass in a Korean center: A surgical series from 

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2. Mir MC, Derweesh I, Porpiglia F, Zargar H, Mottrie A, Autorino R. Partial 

Nephrectomy Versus Radical Nephrectomy for Clinical T1b and T2 Renal Tumors: A 

Systematic Review and Meta-analysis of Comparative Studies. Eur Urol. 2017;71:606-

17. 

3. Jimenez-Romero ME, Moreno-Cortes JC, Canelon-Castillo EY, Diez-Farto S, 

Santotoribio JD. Predictive Factors of Renal Function in Partial Laparoscopic 

Nephrectomy in Patients with a Kidney Tumor. Curr Urol. 2019;13:150-6. 

4. Chapman D, Moore R, Klarenbach S, Braam B. Residual renal function after partial or 

radical nephrectomy for renal cell carcinoma. Can Urol Assoc J. 2010;4:337-43. 

5. Reinstatler L, Klaassen Z, Barrett B, Terris MK, Moses KA. Body mass index and 

comorbidity are associated with postoperative renal function after nephrectomy. Int 

Braz J Urol. 2015;41:697-704. 

6. Cho NH, Shaw JE, Karuranga S, et al. IDF Diabetes Atlas: Global estimates of diabetes 

prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271-

81. 

7. Erdem S, Boyuk A, Verep S, et al. Diabetes mellitus is the only independent predictor 

of both postoperative and long term renal functions in elective laparoscopic partial 

nephrectomy with limited or overextended warm ischemia. Turk J Urol. 2019;45:S13-

S21. 

8. Satasivam P, Reeves F, Rao K, et al. Patients with medical risk factors for chronic 



 

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kidney disease are at increased risk of renal impairment despite the use of nephron-

sparing surgery. BJU Int. 2015;116:590-5. 

9. Hakky TS, Baumgarten AS, Allen B, et al. Zonal NePhRO scoring system: a superior 

renal tumor complexity classification model. Clin Genitourin Cancer. 2014;12:e13-8. 

10. Edge SB, Compton CC. The American Joint Committee on Cancer: the 7th edition of 

the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol. 

2010;17:1471-4. 

11. American Diabetes A. Standards of medical care in diabetes--2013. Diabetes Care. 

2013;36 Suppl 1:S11-66. 

12. Mehta RL, Kellum JA, Shah SV, et al. Acute Kidney Injury Network: report of an 

initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11:R31. 

13. Ljungberg B, Albiges L, Abu-Ghanem Y, et al. European Association of Urology 

Guidelines on Renal Cell Carcinoma: The 2019 Update. Eur Urol. 2019;75:799-810. 

14. Miller DC, Schonlau M, Litwin MS, Lai J, Saigal CS, Urologic Diseases in America P. 

Renal and cardiovascular morbidity after partial or radical nephrectomy. Cancer. 

2008;112:511-20. 

15. Derweesh IH, Novick AC. Mechanisms of renal ischaemic injury and their clinical 

impact. BJU Int. 2005;95:948-50. 

16. Porpiglia F, Renard J, Billia M, et al. Is renal warm ischemia over 30 minutes during 

laparoscopic partial nephrectomy possible? One-year results of a prospective study. Eur 

Urol. 2007;52:1170-8. 

17. Erdem S, Boyuk A, Tefik T, et al. Warm Ischemia-Related Postoperative Renal 

Dysfunction in Elective Laparoscopic Partial Nephrectomy Recovers During 

Intermediate-Term Follow-Up. J Endourol. 2015;29:1083-90. 



 

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18. Laven BA, Orvieto MA, Chuang MS, et al. Renal tolerance to prolonged warm 

ischemia time in a laparoscopic versus open surgery porcine model. J Urol. 

2004;172:2471-4. 

19. Dong W, Wu J, Suk-Ouichai C, et al. Ischemia and Functional Recovery from Partial 

Nephrectomy: Refined Perspectives. Eur Urol Focus. 2018;4:572-8. 

20. Kriegmair MC, Mandel P, Moses A, Bolenz C, Michel MS, Pfalzgraf D. Zonal NephRo 

Score: external validation for predicting complications after open partial nephrectomy. 

World J Urol. 2016;34:545-51. 

21. Hart PD, Bakris GL. Hypertensive nephropathy: prevention and treatment 

recommendations. Expert Opin Pharmacother. 2010;11:2675-86. 

22. Vavallo A, Simone S, Lucarelli G, et al. Pre-existing type 2 diabetes mellitus is an 

independent risk factor for mortality and progression in patients with renal cell 

carcinoma. Medicine (Baltimore). 2014;93:e183. 

23. Demirjian S, Lane BR, Derweesh IH, Takagi T, Fergany A, Campbell SC. Chronic 

kidney disease due to surgical removal of nephrons: relative rates of progression and 

survival. J Urol. 2014;192:1057-62. 

24. Shahwan M, Hassan N, Shaheen RA, et al. Diabetes Mellitus and Renal Function: 

Current Medical Research and Opinion. Curr Diabetes Rev. 2021;17:e011121190176. 

25. O'Donnell K, Tourojman M, Tobert CM, et al. Proteinuria is a Predictor of Renal 

Functional Decline in Patients with Kidney Cancer. J Urol. 2016;196:658-63. 

 

 

Corresponding author: 

Taek Won Kang, MD, PhD 

Department of Urology, Chonnam National University Hospital and Medical School  



 

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42, Jebong-ro, Dong-gu, Gwangju #61469, South Korea  

Telephone: +82-62-220-6705 

FAX: +82-62-227-1643 

E-mail: sydad@hanmail.net 

 

 

 

 

Table 1. Characteristics of the patients who received partial nephrectomy for renal tumor 

Variables Values  

(N = 379) 

Age (years) 58.4 ± 11.9 

BMI (kg/m2) 25.0 ± 3.09 

Sex  

Male 280 (73.9) 

Comorbidities  

HTN 155 (40.9) 

DM 81 (21.4) 

Uncontrolled DM 30 (7.92) 

Site  

Right 187 (49.3) 

Methods of surgery  

  Open 102 (26.9) 

Laparoscopy 277 (73.1) 

mailto:sydad@hanmail.net


 

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OP time (min) 124.3 ± 45.1 

Pre OP hemoglobin (mg/dL) 14.0 ± 1.63 

Pre OP NePhRO score  

   Low 191 (50.4) 

   Intermediate 188 (49.6) 

Pathologic T stage   

   T1a  315 (83.1) 

   T1b 59 (15.6) 

   T2  3 (0.8) 

   T3 2 (0.5) 

Post OP AKI 50 (13.2) 

Post OP CKD (5 years follow up) 79 (20.8) 

AKI: Acute kidney injury, BMI: body mass index, CKD: Chronic kidney disease, DM: diabetes 

mellitus, HTN: hypertension, OP: operation; Pre OP: preoperative, Post OP: postoperative  

Data are represented as mean ± standard deviation or n (%). 

 

 

 

 

 

 

 

 



 

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Table 2. Comparisons of the clinical features based on the occurrence of perioperative AKI 

Variablesa No (n=329) Yes (n=50) p-value 

Age (years) 57.9 ± 11.7 62.0 ± 13.0 0.021 

BMI (kg/m2)   0.203 

  < 25 183 (55.6) 23 (46.0)  

  ≥25 146 (44.4) 27 (54.0)  

Sex   0.036 

Male 237 (72.0) 43 (86.0)  

Female 92 (28.0) 7 (14.0)  

HTN 130 (39.5) 25 (50.0) 0.160 

DM   0.033 

No 265 (80.5) 33 (66.0)  

 Controlled DM 42 (12.8) 9 (18.0)  

Uncontrolled DM 22 (6.7) 8 (16.0)  

Site   0.686 

Right 161 (48.9) 26 (52.0)  

Left 168 (51.1) 24 (48.0)  

Methods of surgery   0.384 

 Open 86 (26.1) 16 (32.0)  

Laparoscopy 243 (73.9) 34 (68.0)  

OP time (min) 122.9 ± 42.83 133.5 ± 57.23 0.210 

Pre OP Hemoglobin (normal 

range) 

298 (90.6) 41 (82.0) 0.066 

Pre OP NePhRO score   0.029 



 

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 Low 173 (52.6) 18 (36.0)  

 Intermediate 156 (47.4) 32 (64.0)  

Pathologic T stage    0.150 

  T1a  277 (84.2) 38 (76.0)  

  T1b-T3 52 (15.8) 12 (24.0)  

AKI: Acute kidney injury, BMI: body mass index, DM: diabetes mellitus, HTN: hypertension, 

OP: operation; Pre OP: preoperative  

Data are represented as mean ± standard deviation or n (%). 

a The Student’s t-test for continuous variables and Pearson chi-square test for categorical 

variables were used to compare the clinical characteristics 

 

 

 

 

 

 

 

 

 

 

 

 

 

 



 

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Table 3. Comparisons of the clinical features based on the progression of postoperative long-

term CKD 

Variablesa No (n=300) Yes (n=79) p-value 

Age (years) 55.8 ± 11.3 68.5 ± 8.16 <0.001 

BMI (kg/m2)   0.199 

  < 25 158 (52.7) 48 (60.8)  

  ≥25 142 (47.3) 31 (39.2)  

Sex   0.182 

Male 217 (72.3) 63 (79.8)  

Female 83 (27.7) 16 (20.2)  

HTN 113 (37.7) 42 (53.2) 0.013 

DM   <0.001 

No 251 (83.7) 47 (59.5)  

 Controlled DM 34 (11.3) 17 (21.5)  

Uncontrolled DM 15 (5.0) 15 (19.0)  

Site   0.609 



 

23 

 

Right 146 (48.7) 41 (51.9)  

Left 154 (51.3) 38 (48.1)  

Methods of surgery   0.384 

 Open 79 (26.3) 23 (29.1)  

Laparoscopy 221 (73.7) 56 (70.9)  

OP time (min) 125.04 ± 43.82 121.27 ± 49.63 0.508 

Pre OP Hemoglobin (normal 

range) 

278 (92.7) 61 (77.2) <0.001 

Pre OP NePhRO score   0.085 

 Low 158 (52.7) 33 (41.8)  

 Intermediate 142 (47.3) 46 (58.2)  

Pathologic T stage    0.150 

  T1a  251 (83.7) 64 (81.0)  

  T1b-T3 49 (16.3) 15 (19.0)  

CKD: Chronic kidney disease, BMI: body mass index, DM: diabetes mellitus, HTN: 

hypertension, OP: operation; Pre OP: preoperative  

Data are represented as mean ± standard deviation or n (%). 

a The Student’s t-test for continuous variables and Pearson chi-square test for categorical 

variables were used to compare the clinical characteristics 

 

 

 

 



 

24 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 4. Clinical factors associated with the occurrence of perioperative AKI 

Variables Univariate analysis Multivariate analysis 

Odds ratio (95% 

CI) 

p-value Odds ratio (95% 

CI) 

p-value 

Age (years) 1.03 (1.00–1.06) 0.023 1.02 (1.00–1.05) 0.082 

Sex      

  Male Reference    



 

25 

 

 Female 0.42 (0.18–0.97) 0.041 0.39 (0.16–0.91) 0.029 

BMI (kg/m2)     

  < 25 Reference    

  ≥ 25 1.47 (0.81–2.67) 0.205   

Site     

  Right Reference    

  Left  0.88 (0.49–1.60) 0.687   

Methods of surgery     

  Open Reference    

Laparoscopy 0.75 (0.40–1.43) 0.385   

HTN 1.53 (0.84–2.78) 0.162   

DM     

  No Reference    

  Controlled DM 1.72 (0.77–3.85) 0.187   

  Uncontrolled DM 2.92 (1.20–7.09) 0.018 2.63 (1.05–6.60) 0.039 

OP time (min) 1.00 (1.00–1.01) 0.120   

Pre OP Hemoglobin     

  Low abnormal Reference    

  Normal 0.47 (0.21–1.07) 0.071   

Pre OP NePhRO 

score 

    

  Low Reference    

  Intermediate 1.97 (1.06–3.65) 0.031 2.02 (1.07-3.80) 0.03 

Pathologic T stage      



 

26 

 

  T1a  Reference    

  T1b-T3 1.68 (0.82–3.43) 0.153   

AKI: Acute kidney injury, BMI: body mass index, CI: confidence interval, CKD: Chronic 

kidney disease, DM: diabetes mellitus, HTN: hypertension, OP: operation; Pre OP: 

preoperative, Post OP: postoperative 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 



 

27 

 

 

Table 5. Clinical factors associated with the progression of postoperative long-term CKD 

Variables Univariate analysis Multivariate analysis 

Odds ratio (95% 

CI) 

p-value Odds ratio (95% 

CI) 

p-value 

Age (years) 1.14 (1.10–1.18) <0.001 1.14 (1.10–1.18) <0.001 

Sex      

  Male Reference    

 Female 0.66 (0.36–1.21) 0.184   

BMI (kg/m2)     

  < 25 Reference    

  ≥ 25 0.72 (0.43–1.19) 0.200   

Site     

  Right Reference    

  Left  0.88 (0.54–1.44) 0.609   

Methods of surgery     

  Open Reference    

Laparoscopy 0.87 (0.50–1.51) 0.620   

HTN 1.88 (1.14–3.10) 0.013 1.01 (0.55–1.83) 0.983 

DM     

  No Reference    

  Controlled DM 2.67 (1.38–5.17) 0.004 1.61 (0.75–3.48) 0.217 

  Uncontrolled DM 5.34 (2.45–11.66) <0.001 4.57 (1.84–11.4) 0.001 

OP time (min) 1.00 (0.99–1.00) 0.507   



 

28 

 

Pre OP Hemoglobin     

  Low abnormal Reference    

  Normal 0.27 (0.14–0.53) <0.001 0.44 (0.19–1.01) 0.053 

Pre OP NePhRO 

score 

    

  Low Reference    

  Intermediate 1.55 (0.94–2.56) 0.086   

Pathologic T stage      

  T1a  Reference    

  T1b-T3 1.20 (0.63–2.28) 0.576   

BMI: body mass index, CKD: Chronic kidney disease, DM: diabetes mellitus, HTN: 

hypertension, OP: operation; Pre OP: preoperative, Post OP: postoperative