Dataset Information

Predictive factors for postoperative renal function after off-clamp, non-renorrhaphy partial nephrectomy.

ABSTRACT:

Background

There is limited information on perioperative renal function during off-clamp, non-renorrhaphy open partial nephrectomy. Therefore, this retrospective study aimed to identify predictive factors of perioperative decline in renal function after off-clamp, non-renorrhaphy open partial nephrectomy.

Methods

Clinical records of 138 patients with renal tumors who underwent off-clamp, non-renorrhaphy open partial nephrectomy at our institution were reviewed. Off-clamp, non-renorrhaphy partial nephrectomy was performed using a soft coagulation system. Perioperative estimated glomerular filtration rate (eGFR) preservation was calculated, and predictors were identified using multivariate regression analysis at 5 days, 1 month, and 3 months after surgery.

Results

The median operation time was 122 minutes, and the median volume of estimated blood loss was 155 mL. The mean eGFR preservation at 5 days, 1 month, and 3 months after surgery was 95.3%, 91.0%, and 90.7%, respectively. Estimated blood loss was an independent predictor of perioperative decline in eGFR 5 days after surgery [odds ratio (OR): 0.97; 95% confidence interval (CI): 0.96, 0.98; P<0.001]. Preoperative eGFR and estimated blood loss were independent predictors of perioperative decline in eGFR 1 month after surgery (OR: 0.86; 95% CI: 0.77, 0.95; P=0.007 and OR: 0.98; 95% CI: 0.97, 0.99; P<0.001, respectively). Age, preoperative eGFR, and estimated blood loss were independent predictors of perioperative decline in eGFR 3 months after surgery (OR: 0.64; 95% CI: 0.54, 0.81; P<0.001, OR: 0.72; 95% CI: 0.61, 0.85; P<0.001; and OR: 0.98; 95% CI: 0.97, 0.99; P=0.004, respectively).

Conclusions

Estimated blood loss during surgery was a predictor of perioperative decline in eGFR within 3 months after off-clamp, non-renorrhaphy open partial nephrectomy. Age was a predictor of perioperative decline in eGFR 3 months after surgery.

SUBMITTER: Nakamura M

PROVIDER: S-EPMC9547154 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Predictive factors for postoperative renal function after off-clamp, non-renorrhaphy partial nephrectomy.

Nakamura Masaki M Kameyama Shuji S Ambe Yoshiki Y Teshima Taro T Izumi Taro T Tsuru Ibuki I Inoue Yasushi Y Yoshimatsu Tadashi T Inatsu Hiroki H Amakawa Ryo R Kusakabe Masashi M Morikawa Teppei T Shiga Yoshiyuki Y

Translational andrology and urology 20220901 9

<h4>Background</h4>There is limited information on perioperative renal function during off-clamp, non-renorrhaphy open partial nephrectomy. Therefore, this retrospective study aimed to identify predictive factors of perioperative decline in renal function after off-clamp, non-renorrhaphy open partial nephrectomy.<h4>Methods</h4>Clinical records of 138 patients with renal tumors who underwent off-clamp, non-renorrhaphy open partial nephrectomy at our institution were reviewed. Off-clamp, non-reno ...[more]

PMID: 36217403

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Project description:BackgroundOngoing efforts are focused on shortening ischemia intervals as much as possible during partial nephrectomy to preserve renal function. Off-clamp partial nephrectomy (off-PN) has been a common strategy for to avoid ischemia in small renal tumors. Although studies comparing the advantages between off-PN with conventional on-clamp partial nephrectomy (on-PN) have been reported, the impact on short- and especially long-term renal function of the two surgical methods has not been discussed seriously and remained unclear. Our purpose is to evaluate the impact on short- (within postoperative 3 months) and long-term (postoperative 6 months or longer) renal function of off-PN compared with that of on-PN.MethodsWe comprehensively searched databases, including PubMed, EMBASE, and the Cochrane Library, without restrictions on language or region. A systematic review and cumulative meta-analysis of the included studies were performed to assess the impact of the two techniques on short- and long-term renal function.ResultsA total of 23 retrospective studies and 2 prospective cohort studies were included. The pooled postoperative short-term decrease of estimated glomerular filtration rate (eGFR) was significantly less in the off-PN group (weighted mean difference [WMD]: 4.81 ml/min/1.73 m2; 95% confidence interval [CI]: 3.53 to 6.08; p < 0.00001). The short-term increase in creatinine (Cr) level in the on-PN group was also significant (WMD: - 0.05 mg/dl; 95%CI: - 0.09 to - 0.00; p = 0.04). Significant differences between groups was observed for the long-term change and percent (%) change of eGFR (p = 0.04 and p < 0.00001, respectively) but not for long-term Cr change (p = 0.40). The postoperative short-term eGFR and Cr levels, but not the postoperative long-term eGFR, differed significantly between the two groups. The pooled odds ratios for acute renal failure and postoperative progress to chronic kidney disease (stage≥3) in the off-PN group were found to be 0.25 (p = 0.003) and 0.73 (p = 0.34), respectively, compared with the on-PN group.ConclusionsOff-PN exerts a positive impact on the short- and long-term renal function compared with conventional on-PN. Given the inherent limitations of our included studies, large-volume and well-designed RCTS with extensive follow up are needed to confirm and update the conclusion of this analysis.

Project description:BackgroundSeveral predictive factors for chronic kidney disease (CKD) following radical nephrectomy (RN) or partial nephrectomy (PN) have been identified. However, early postoperative laboratory values were infrequently considered as potential predictors. Therefore, this study aimed to develop predictive models for CKD 1 year after RN or PN using early postoperative laboratory values, including serum creatinine (SCr) levels, in addition to preoperative and intraoperative factors. Moreover, the optimal SCr sampling time point for the best prediction of CKD was determined.MethodsData were retrospectively collected from patients with renal cell cancer who underwent laparoscopic or robotic RN (n = 557) or PN (n = 999). Preoperative, intraoperative, and postoperative factors, including laboratory values, were incorporated during model development. We developed 8 final models using information collected at different time points (preoperative, postoperative day [POD] 0 to 5, and postoperative 1 month). Lastly, we combined all possible subsets of the developed models to generate 120 meta-models. Furthermore, we built a web application to facilitate the implementation of the model.ResultsThe magnitude of postoperative elevation of SCr and history of CKD were the most important predictors for CKD at 1 year, followed by RN (compared to PN) and older age. Among the final models, the model using features of POD 4 showed the best performance for correctly predicting the stages of CKD at 1 year compared to other models (accuracy: 79% of POD 4 model versus 75% of POD 0 model, 76% of POD 1 model, 77% of POD 2 model, 78% of POD 3 model, 76% of POD 5 model, and 73% in postoperative 1 month model). Therefore, POD 4 may be the optimal sampling time point for postoperative SCr. A web application is hosted at https://dongy.shinyapps.io/aki_ckd .ConclusionsOur predictive model, which incorporated postoperative laboratory values, especially SCr levels, in addition to preoperative and intraoperative factors, effectively predicted the occurrence of CKD 1 year after RN or PN and may be helpful for comprehensive management planning.

Dataset Information

Predictive factors for postoperative renal function after off-clamp, non-renorrhaphy partial nephrectomy.

Background

Methods

Results

Conclusions

Publications

Predictive factors for postoperative renal function after off-clamp, non-renorrhaphy partial nephrectomy.

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