| Literature DB >> 28540236 |
João Paulo Pretti Fantin1, Ronaldo de Carvalho Neiva1, Marcio Gatti2, Pedro Ferraz de Arruda2, José Germano Ferraz de Arruda2, Thiago Antoniassi2, Luís Cesar Fava Spessoto2, José Carlos Mesquita2, Lilian Castiglioni3, Fernando-Nestor Fácio-Júnior2.
Abstract
BACKGROUND: New surgical techniques for nephrectomy mainly related to early diagnosis made possible by advances in imaging studies have been developed in recent decades. However, postoperative renal dysfunction is a constant concern because of the major problems faced by healthcare services and by the patients themselves. To assess risk factors for developing acute renal failure (ARF) in patients submitted to nephrectomy in a university hospital.Entities:
Keywords: Renal insufficiency; nephrectomy; risk factors
Year: 2017 PMID: 28540236 PMCID: PMC5422694 DOI: 10.21037/tau.2017.03.39
Source DB: PubMed Journal: Transl Androl Urol ISSN: 2223-4683
Clinical and surgical data of patients submitted to open surgery and laparoscopic nephrectomy
| Variable | n [%] |
|---|---|
| Neoplasia | 47 [65] |
| Hypertension | 35 [48] |
| Diabetes | 15 [20] |
| Chronic kidney disease | 10 [14] |
| Open surgery | 50 [69] |
| Laparoscopic surgery | 22 [31] |
Comparison of demographic, clinical and operative variables of patients submitted to nephrectomy by open surgery and laparoscopy
| Variable | Open surgery | Laparoscopic surgery | P value |
|---|---|---|---|
| Age (year) (mean ± SD) | 59±22 | 47±20 | <0.0001* |
| Anesthetic time (min) | 167 | 238 | 0.0005* |
| Side [n (%)] | |||
| Right | 26 [52] | 10 [46] | 0.7985** |
| Left | 24 [48] | 12 [54] | |
| Neoplasia [n (%)] | 38 [76] | 9 [40] | – |
| Hypertension [n (%)] | 29 [58] | 6 [27] | – |
| Diabetes [n (%)] | 13 [26] | 2 [9] | – |
| Preoperative CKD [n (%)] | 6 [12] | 4 [18] | – |
| Mean preoperative clearance (mL/min/1.73 m2) | 68 | 78 | 0.2094* |
| Mean postoperative clearance (mL/min/1.73 m2) | 54 | 65 | 0.0932* |
*, student’s t test; **, chi-square test. SD, standard deviation; CKD, chronic kidney disease.
Correlation analysis to evaluate the postoperative clearance
| Variable | P value | 95% CI | r |
|---|---|---|---|
| Anesthesia time | 0.3207 | −0.1231 to 0.3472 | 0.1187 |
| Open surgery | 0.0992 | −0.4148 to 0.04454 | −0.1959 |
| Laparoscopic surgery | 0.0992 | −0.04454 to 0.4148 | 0.1959 |
| Right side | 0.468 | −0.3186 to 0.1546 | −0.08688 |
| Left side | 0.468 | −0.1546 to 0.3186 | 0.08688 |
| Partial | 0.9153 | −0.2503 to 0.2262 | −0.01276 |
| Total | 0.9153 | −0.2262 to 0.2503 | 0.01276 |
| CKD | <0.0001 | −0.7117 to −0.3839 | −0.5701 |
| Diabetes | 0.4455 | −0.3226 to 0.1503 | −0.09133 |
| Hypertension | 0.3681 | −0.3373 to 0.1341 | −0.1076 |
| Neoplasia | 0.0298 | −0.4660 to −0.01903 | −0.2562 |
| Preoperative creatinine | <0.0001 | −0.6318 to −0.2529 | −0.4633 |
| Postoperative creatinine | <0.0001 | −0.7559 to −0.4625 | −0.6313 |
CI, confidence interval; CKD, chronic kidney disease.
Figure 1Analysis Pearson correlation between pre and postoperative clearance (r=0.8116; 95% CI, 0.7142–0.8782; P<0.0001).