Identifying the predictors of estimated glomerular filtration rate after partial nephrectomy with a nonlinear regression model

dc.contributor.authorKarabay, Emre
dc.contributor.authorTosun, Cagatay
dc.contributor.authorKarsiyakali, Nejdet
dc.contributor.authorKayar, Kemal
dc.contributor.authorAykan, Serdar
dc.contributor.authorAslan, Ahmet Ruknettin
dc.contributor.authorYucebas, Omer Ergin
dc.contributor.authorOzturk, Metin Ishak
dc.date.accessioned2023-02-21T12:32:41Z
dc.date.available2023-02-21T12:32:41Z
dc.date.issued2021-01-01
dc.description.abstractPurpose To evaluate the effect of partial nephrectomy on renal function and to identify predictors of estimated glomerular filtration rate (eGFR) at 6 months after partial nephrectomy. Methods Medical data of 154 consecutive patients who underwent partial nephrectomy for a renal mass between January 2015 and March 2020 were retrospectively analysed. The primary outcome measure was eGFR at 6 months postoperatively. An ordinary least regression analysis using a restricted cubic spline for continuous variables was performed to examine the association between primary outcome measure and candidate predictors. Results Of the patients, 66 (42.9\%) were females and 88 (57.1\%) were males with a median age of 60 (range, 50 to 67) years. The median baseline eGFR was 90.40 (range, 74.96 to 102.97) mL/min/1.73 m(2), while the median eGFR at 6 months was 77.12 (range, 61.06 to 91.93) mL/min/1.73 m(2) (P < .001). Baseline eGFR (regression coefficient (beta) = 22.7, 95\%CI: 18.8 to 26.5, P < .001) was found to be most significant predictor with the postoperative eGFR levels at 6 months. In addition, advanced tumour size (beta = -3.17, 95\%CI: -5.33 to -1.01, P < .001) and presence of hypertension (beta = -3.48, 95\%CI: -6.96 to -0.003, P = .049) were also found to be inversely associated with the postoperative eGFR levels at 6 months. Conclusion Baseline eGFR values, tumour size, and presence of hypertension are significant predictors of eGFR values in the mid-term in patients undergoing partial nephrectomy.
dc.description.issue3
dc.description.issueMAR
dc.description.volume75
dc.identifier.doi10.1111/ijcp.13763
dc.identifier.urihttps://hdl.handle.net/11443/1215
dc.identifier.urihttp://dx.doi.org/10.1111/ijcp.13763
dc.identifier.wosWOS:000584400200001
dc.publisherWILEY
dc.relation.ispartofINTERNATIONAL JOURNAL OF CLINICAL PRACTICE
dc.titleIdentifying the predictors of estimated glomerular filtration rate after partial nephrectomy with a nonlinear regression model
dc.typeArticle

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