1. Introduction
Radical cystectomy (RC), the gold standard treatment for muscle–invasive bladder cancer, has high complication rates of up to 57% major complications [
1] and thus represents a high socioeconomic burden [
2]. One of the most common complications of RC with urinary diversion is paralytic ileus, which causes a prolonged hospital stay and delayed recovery [
3]. The first bowel movement marks a breakthrough point in the recovery process, highlighting the need to identify factors associated with accelerated bowel motility.
Protocols to enhance recovery after RC surgery for bladder cancer have been implemented [
4]. These include preoperative loading with high–calorie and electrolyte-enriched drinks [
5]. Moreover, a recent randomized trial of patients undergoing RC reported accelerated recovery of normal gastrointestinal function after perioperative administration of a potassium-enriched, chloride-depleted 5% glucose solution [
6]. However, despite these efforts to optimize electrolyte levels in the perioperative management of RC, the association between preoperative electrolyte levels and postoperative outcomes after RC has not yet been explored.
Therefore, we aimed to investigate the association of a large panel of preoperative variables (patient characteristics, vital signs and blood values), with a special focus on preoperative potassium levels, with clinical (complications) and economical (length of hospital stay) postoperative outcomes after RC.
2. Methods
2.1. Data Collection
After institutional review board approval (reference number 32/16), we collected the clinical and histopathological data of patients who had undergone RC for bladder cancer between 2002 and 2015 at University Hospital Frankfurt. All surgeries were performed by experienced surgeons with a minimum caseload of 30 surgeries for RC. The type of urinary diversion used was most commonly ileal neobladder for continent diversion and ileal conduit for incontinent diversion. Preoperative, intraoperative and postoperative outcome variables were registered in a database. We focused on identifying the preoperative variables that are associated with clinical (complications) and economical (length of hospital stay) postoperative outcomes. Therefore, we included comprehensive preoperative patient data including comorbidities (Charlson comorbidity score, American Society of Anesthesiologists (ASA) score), medications, vital signs (blood pressure and heart rate), and a set of nine preoperative blood values: hemoglobin, leucocytes, thrombocytes, C-reactive protein, creatinine, MDRD, glucose, sodium, and potassium. The study endpoints were 30-day morbidity and length of hospital stay. Complications that occurred within 30 days after surgery were documented and classified according to the Clavien-Dindo classification system. We registered the length of hospital stay in days from admission until discharge.
2.2. Statistical Analysis
The frequencies and proportions are presented for categorical variables and means and standard deviations for continuously coded variables that were normally distributed. For our main analyses, we defined binary (favorable and unfavorable) outcome groups for each of the three outcome measurements: number of complications (low vs. high), presence of a major complication (yes vs. no), and hospital stay (short vs. long). We calculated cut-off values to create similar group sizes for these outcome measurements. To allow for statistical testing of multiple variables for a limited number of events, we distributed patients into up to three groups for each preoperative variable. The effect of different potassium levels in patient subgroups had been reported before with regard to cardiovascular outcomes [
7]. In the next step, we performed univariate testing of each variable for the three binary outcomes (number of complications, presence of a major complication and length of hospital stay) using the chi-square test. In case multiple variables showed a significant association, we performed multivariate logistic regression analysis for the respective outcome measurements. For those variables that showed a statistically significant association with outcomes in the multivariable analysis, we used the Mann-Whitney U test to compare the groups for favorable and unfavorable outcomes. All statistical tests were performed using the Statistical Package for the Social Sciences 23.0 software (SPSS Inc., Chicago, IL, USA). All tests were two-sided with the significance level set at
p < 0.05.
3. Results
The preoperative, intraoperative and postoperative characteristics of the 317 patients who underwent RC are presented in
Table 1. One third of patients (107, 34%) received a continent urinary diversion. The distribution of patients into three groups according to preoperative characteristics, vital signs and blood values is presented in
Table A1. Preoperative potassium levels were classified as either low (≤4.28 mmol/L, 33% of patients), average (4.29–4.67 mmol/L, 33% of patients) or high (≥4.68 mmol/L, 33% of patients).
Patients were divided into favorable and unfavorable outcome groups for each of the three outcomes: number of complications (low vs. high), presence of a major complication (no vs. yes), and length of hospital stay (shorter vs. longer). The favorable outcome groups comprised 186 patients (58%) with ≤2 total complications, 209 patients (66%) without a major complication (Clavien-Dindo grade complications ≤2) and 150 patients (47%) with a hospital stay of ≤21 days. Accordingly, the unfavorable outcome groups comprised 131 patients (42%) with ≥ 3 total complications, 108 patients (34%) with major complications (Clavien-Dindo grade complications ≥3) and 167 patients (53%) with a hospital stay of ≥22 days.
The results of the univariate analysis for associations between preoperative factors and postoperative complications and the length of hospital stay are presented in
Table 2. A low Charlson comorbidity score (
p = 0.011), low ASA score (
p = 0.015), no aspirin intake (
p = 0.048) and high-normal preoperative potassium level (
p = 0.034) were identified as preoperative factors associated with the favorable outcome of ≤2 postoperative complications. High-normal preoperative potassium was the only preoperative factor associated with a shorter hospital stay of ≤21 days (
p = 0.007).
Table 3 shows the results of the multivariate logistic regression analysis. Among the four preoperative factors associated with the favorable outcome of ≤2 postoperative complications (low Charlson comorbidity score, low ASA score, no aspirin intake and high-normal preoperative potassium level), only high-normal preoperative potassium remained an independent predictor for ≤2 postoperative complications (odds ratio 0.67, 95% confidence interval (0.48, 0.92),
p = 0.014).
In line with these findings, preoperative potassium was significantly higher in patients with ≤2 postoperative complications (4.53 ± 0.45 mmol/L) than in those with ≥3 postoperative complications (4.42 ± 0.42 mmol/L;
p = 0.032), and in patients with a hospital stay of ≤21 days (4.58 ± 0.45 mmol/L) compared to those with a hospital stay of ≥22 days (4.39 ± 0.43 mmol/L;
p < 0.001), but not in those with no major complications (4.53 ± 0.57 mmol/L) compared to those with major complications (4.43 ± 0.43 mmol/L;
p = 0.062). The effect of low-normal, average-normal and high-normal preoperative potassium levels on the number of postoperative complications per patient and length of hospital stay are shown in
Table 4.
4. Discussion
We performed a retrospective study on 317 consecutive patients who underwent RC to investigate the association of preoperative variables with clinical (complications) and economical (length of hospital stay) postoperative outcomes. We found that high-normal preoperative potassium levels were associated with fewer complications and a shorter hospital stay for patients undergoing RC.
Our findings fill an important knowledge gap in the literature about the association of preoperative variables with postoperative complications after RC. While perioperative management factors have been well reviewed, such as the link between blood transfusion and adverse oncological outcomes [
7], the role of electrolyte levels in patients undergoing RC has not been investigated.
In general, the balance of electrolytes and water seems to play an important role in the recovery of gastrointestinal function after abdominal surgery. In this regard, a positive balance of 3 kg delayed the normalization of gastrointestinal function and prolonged the length of hospital stay in patients undergoing elective colon surgery [
8]. A positive balance for in-hospital patients undergoing major surgery is usually due to increased perioperative fluid substitution. As these fluids contain either average or low levels of potassium (especially in the case of glucose infusion), substitution might lead to lower blood potassium levels. The problem of low postoperative potassium levels might be further enhanced by reduced nutrition intake and the use of diuretics in the early postoperative period. Although fast-track concepts have been established, nutrition intake is reduced after major surgery. The human body receives potassium from daily nutrition intake; however, a reduced intake is expected in the early postoperative period after RC. Moreover, the use of loop diuretics to reduce the aforementioned positive balance might further contribute to low postoperative potassium levels if not accompanied by adequate potassium substitution. With regard to these factors, it is possible that the higher potassium levels observed in our study led to fewer complications and earlier discharge by achieving faster activation of gastrointestinal function.
Potassium, an osmotically active cation, plays a key role in the formation of nerve action potentials and, consequently, the regulation of smooth muscle neuronal activity. As a result, changes in potassium balance pose a great threat to patients, especially after urinary diversion. In general surgery, the P-Possum score is used to predict the prognosis of morbidity and mortality after surgery. One of the many factors contributing to this score is the potassium level at the time of surgery. Lu and colleagues reported that potassium levels below 3.5 mmol/L increase the P-Possum score, and, therefore, the likelihood of a negative outcome after major surgery [
9].
The effect of electrolyte levels on clinical outcomes is not limited to patients undergoing abdominal surgery. Investigations of levels of sodium and potassium in patients undergoing coronary artery bypass surgery showed that electrolyte abnormalities led to a significantly longer stay in the intermediate care unit [
10]. This suggests that potassium levels are not only crucial for postoperative gastrointestinal activation after abdominal surgery, but also have an influence on systemic recovery after surgery in general. The type of urinary diversion (continent vs. incontinent) had no impact on length of hospital stay in our study, whereas an association between continent ileal neobladder and longer hospital stay had been reported before [
11].
Our study is the first to investigate the influence of preoperative potassium levels on postoperative complications and length of hospital stay in patients undergoing RC and urinary diversion. We acknowledge that one inherent limitation of our study is its retrospective design. Moreover, supplementation of potassium in the postoperative period was not standardized, and was usually only undertaken when blood potassium levels dropped below the normal value. Despite these limitations, a major strength of our study is the identification of a simple intervention that could potentially lead to improved outcomes. A randomized controlled trial should be performed to investigate whether there is a causal relationship between preoperative potassium supplementation and postoperative complications and length of hospital stay.
5. Conclusions
In our retrospective study, a high-normal preoperative potassium level was associated with lower 30-day morbidity and a shorter hospital stay in patients undergoing RC. We recommend that a randomized controlled trial be performed to investigate whether there is a causal association between preoperative potassium supplementation and postoperative complications and length of hospital stay.
Author Contributions
H.B.: design, execution, manuscript writing, conceptualization, M.M.K.: design, execution, manuscript writing, conceptualization, A.M.: data analysis, investigation, R.D.: data analysis, investigation, N.F.: critical revision, project administration, P.S.: critical revision, project administration, editing, W.J.: critical revision, project administration, I.T.: supervision, A.H.: supervision, T.H.: design, manuscript writing, conceptualization, methodology. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
All ethical standard were followed. This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of University Medicine Mainz and Frankfurt.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data that support the findings of this study are available on request from all authors up on request. The data are not publicly available due to restrictions e.g., their containing information that could compromise the privacy of research participants.
Conflicts of Interest
The authors declare no conflict of interest.
Appendix A
Table A1.
Patients who underwent radical cystectomy were distributed into three groups according to preoperative patient characteristics, vital signs and blood values.
Table A1.
Patients who underwent radical cystectomy were distributed into three groups according to preoperative patient characteristics, vital signs and blood values.
Preoperative Factors | Group 1 | Group 2 | Group 3 |
---|
Age (years) | ≤64 33% | 65–71 33% | ≥72 33% |
BMI (kg/m2) | ≤24.1 33% | 24.2–27.3 33% | ≥27.4 33% |
Charlson comorbidity score | ≤2 40% | 3–4 33% | ≥5 27% |
ASA classification | ≤2 47% | ≥3 53% | |
Aspirin intake | no 77% | yes 23% | |
Polypharmacy (>5 drugs) | no 71% | yes 29% | |
Systolic blood pressure (mm Hg) | ≤120 33% | 121–139 33% | ≥140 33% |
Diastolic blood pressure (mm Hg) | ≤70 33% | 71–79 33% | ≥80 33% |
Heart rate | ≤72 33% | 73–79 33% | ≥80 33% |
Preoperative hemoglobin | ≤12.0 33% | 12.1–13.8 33% | ≥13.9 33% |
Preoperative leucocytes | ≤6.8 33% | 6.9–9.0 33% | ≥9.1 33% |
Preoperative thrombocytes | ≤225 33% | 226–205 33% | ≥306 33% |
Preoperative C-reactive protein | ≤0.29 33% | 0.3–1.10 33% | ≥1.11 33% |
Preoperative creatinine (mg/dl) | ≤0.93 33% | 0.94–1.20 33% | ≥1.21 33% |
Preoperative MDRD | ≤55.0 33% | 55.1–73.1 33% | ≥73.2 33% |
Preoperative glucose | ≤92 33% | 93–105 33% | ≥106 33% |
Preoperative sodium | ≤140 33% | 141 33% | ≥142 33% |
Preoperative potassium | ≤4.28 33% | 4.29–4.67 33% | ≥4.68 33% |
References
- Meyer, C.P.; Hollis, M.; Cole, A.P.; Hanske, J.; O’Leary, J.; Gupta, S.; Löppenberg, B.; Zavaski, M.E.; Sun, M.; Sammon, J.D.; et al. Complications Following Common Inpatient Urological Procedures: Temporal Trend Analysis from 2000 to 2010. Eur. Urol. Focus 2016, 2, 3–9. [Google Scholar] [CrossRef] [PubMed]
- Lee, R.; Chughtai, B.; Herman, M.; Shariat, S.F.; Scherr, D. Cost-analysis comparison of robot-assisted laparoscopic radical cystectomy (RC) vs open RC. Br. J. Urol. 2011, 108, 976–983. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Meng, Y.-S.; Su, Y.; Fan, Y.; Yu, W.; Wang, Y.; Zheng, W.; Shen, C.; Zhou, L.-Q.; Zhang, Q.; Li, X.-S.; et al. Risk factors for the development of postoperative paralytic ileus after radical cystectomy: A report of 740 cases. Beijing Da Xue Xue Bao Yi Xue Ban 2015, 47, 628–633. [Google Scholar] [PubMed]
- Cerantola, Y.; Valerio, M.; Persson, B.; Jichlinski, P.; Ljungqvist, O.; Hubner, M.; Kassouf, W.; Muller, S.; Baldini, G.; Carli, F.; et al. Guidelines for perioperative care after radical cystectomy for bladder cancer: Enhanced Recovery After Surgery (ERAS®) society recommendations. Clin. Nutr. 2013, 32, 879–887. [Google Scholar] [CrossRef] [PubMed]
- Frees, S.K.; Aning, J.; Black, P.; Struss, W.; Bell, R.; Chavez-Munoz, C.; Gleave, M.; So, A.I. A prospective randomized pilot study evaluating an ERAS protocol versus a standard protocol for patients treated with radical cystectomy and urinary diversion for bladder cancer. World J. Urol. 2018, 36, 215–220. [Google Scholar] [CrossRef] [PubMed]
- Takala, J.; Wüthrich, P.Y.; Burkhard, F.C.; Löffel, L. Impact of a Potassium-enriched, Chloride-depleted 5% Glucose Solution on Gastrointestinal Function after Major Abdominopelvic Surgery: Results of a Randomized Controlled Trial. Anesthesiology 2016, 125, 678–689. [Google Scholar] [CrossRef]
- Lai, Y.-H.; Leu, H.-B.; Yeh, W.-T.; Chang, H.-Y.; Pan, W.-H. Low-normal serum potassium is associated with an increased risk of cardiovascular and all-cause death in community-based elderly. J. Formos. Med Assoc. 2015, 114, 517–525. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Furrer, M.A.; Fellmann, A.; Schneider, M.P.; Thalmann, G.N.; Burkhard, F.C.; Wuethrich, P.Y. Impact of Packed Red Blood Cells and Fresh Frozen Plasma Given During Radical Cystectomy and Urinary Diversion on Cancer-related Outcome and Survival: An Observational Cohort Study. Eur. Urol. Focus 2018, 4, 916–923. [Google Scholar] [CrossRef] [PubMed]
- Lobo, D.N.; Bostock, K.A.; Neal, K.R.; Perkins, A.C.; Rowlands, B.J.; Allison, S.P. Effect of salt and water balance on recovery of gastrointestinal function after elective colonic resection: A randomised controlled trial. Lancet 2002, 359, 1812–1818. [Google Scholar] [CrossRef]
- Lu, G.; Xu, L.; Zhong, Y.; Shi, P.; Shen, X. Significance of Serum Potassium Level Monitoring during the Course of Post-Operative Rehabilitation in Patients with Hypokalemia. World J. Surg. 2013, 38, 790–794. [Google Scholar] [CrossRef] [PubMed]
- Safavi, M.; Bagheri, K.; Ghasemi, M.; Honarmand, A.; Kashefi, P.; Mohammadinia, L. Investigating the relationship between intra-operative electrolyte abnormalities (sodium and potassium) with post-operative complications of coronary artery bypass surgery. Adv. Biomed. Res. 2013, 2, 82. [Google Scholar] [CrossRef] [PubMed]
Table 1.
Preoperative, intraoperative and postoperative characteristics of the 317 patients who underwent radical cystectomy.
Table 1.
Preoperative, intraoperative and postoperative characteristics of the 317 patients who underwent radical cystectomy.
Variable (Unit) | Mean ± SD/n (%) |
---|
Preoperative patient characteristics |
Age (years) | 69 ± 11 |
Male gender | 238 (78%) |
BMI (kg/m2) | 25.8 ± 5.3 |
Charlson comorbidity score | 3 ± 2.1 |
ASA classification | 3 ± 0.6 |
Aspirin intake | 65 (23%) |
Polypharmacy (>5 drugs) | 79 (29%) |
Preoperative vital signs |
Systolic blood pressure (mm Hg) | 130 ± 18 |
Diastolic blood pressure (mm Hg) | 80 ± 10 |
Heart rate | 76 ± 12 |
Preoperative blood values |
Preoperative hemoglobin | 12.9 ± 2.7 |
Preoperative leucocytes | 7.9 ± 3.7 |
Preoperative thrombocytes | 261 ± 108 |
Preoperative C-reactive protein | 0.6 ± 3.5 |
Preoperative creatinine (mg/dL) | 1.1 ± 0.6 |
Preoperative MDRD | 66 ± 23 |
Preoperative glucose | 98 ± 35 |
Preoperative sodium (mmol/L) | 141 ± 3.1 |
Preoperative potassium (mmol/L) | 4.5 ± 0.4 |
Intraoperative characteristics |
Estimated blood loss (mL) | 1300 ± 1151 |
Operative time (min) | 399 ± 97 |
Continent urinary diversion | 107 (34%) |
Incontinent urinary diversion | 210 (66%) |
Postoperative outcome parameters |
Histopathology | |
T0 | 25 (8%) |
T1 | 55 (19%) |
T2 | 76 (26%) |
T3 | 99 (33%) |
T4 | 42 (14%) |
Positive lymph nodes | 81 (26%) |
Positive resection margin | 38 (12%) |
Complications according to the Clavien-Dindo classification |
Patients with any complication | 258 (81%) |
Highest complication grade I | 25 (8%) |
Highest complication grade II | 125 (39%) |
Highest complication grade IIIa | 38 (12%) |
Highest complication grade IIIb | 23 (7%) |
Highest complication grade IVa | 32 (10%) |
Highest complication grade IVb | 7 (2%) |
Highest complication grade V | 8 (3%) |
Number of complications per patient | 2 ± 2.2 |
Length of hospital stay (days) | 22 ± 13 |
Table 2.
Univariate analysis of the association between preoperative factors and postoperative outcome measurements. p-values are presented. Statistically significant results are marked in bold.
Table 2.
Univariate analysis of the association between preoperative factors and postoperative outcome measurements. p-values are presented. Statistically significant results are marked in bold.
Preoperative Factor | Outcome Measurements (p-Values Shown) |
---|
≥3 Postoperative Complications | Major Complication (Clavien ≥ 3) | Hospital Stay ≥22 days |
---|
Age | 0.526 | 0.310 | 0.950 |
BMI | 1.000 | 0.621 | 0.779 |
Charlson comorbidity score | 0.011 | 0.286 | 0.138 |
ASA classification | 0.015 | 0.717 | 0.220 |
Aspirin intake | 0.048 | 0.605 | 0.956 |
Polypharmacy (>5 drugs) | 0.276 | 0.078 | 0.746 |
Systolic blood pressure | 0.174 | 0.075 | 0.188 |
Diastolic blood pressure | 0.313 | 0.240 | 0.647 |
Heart rate | 0.180 | 0.881 | 0.892 |
Urinary diversion | 0.405 | 0.473 | 0.053 |
Preoperative hemoglobin | 0.092 | 0.921 | 0.445 |
Preoperative leucocytes | 0.469 | 0.406 | 0.355 |
Preoperative thrombocytes | 0.886 | 0.875 | 0.203 |
Preoperative CRP | 0.123 | 0.136 | 0.073 |
Preoperative creatinine | 0.057 | 0.449 | 0.158 |
Preoperative MDRD | 0.309 | 0.479 | 0.919 |
Preoperative glucose | 0.531 | 0.084 | 0.294 |
Preoperative sodium | 0.236 | 0.950 | 0.391 |
Preoperative potassium | 0.034 | 0.109 | 0.007 |
Table 3.
Multivariate logistic regression analysis to identify preoperative factors that predict the presence of three or more complications after radical cystectomy. Statistically significant results are marked in bold.
Table 3.
Multivariate logistic regression analysis to identify preoperative factors that predict the presence of three or more complications after radical cystectomy. Statistically significant results are marked in bold.
Preoperative Factor | Odds Ratio | 95% Confidence Interval | p Value |
---|
Charlson comorbidity score | 1.29 | 0.93, 1.78 | 0.128 |
ASA score | 1.67 | 0.98, 2.85 | 0.058 |
Aspirin intake | 1.72 | 0.93, 3.17 | 0.083 |
Preoperative potassium | 0.67 | 0.49, 0.92 | 0.014 |
Table 4.
Effect of preoperative potassium level on the number of postoperative complications per patient and length of hospital stay.
Table 4.
Effect of preoperative potassium level on the number of postoperative complications per patient and length of hospital stay.
| Preoperative Potassium Level |
---|
Postoperative Outcome | Low-Normal (≤4.28 mmol/L), n = 106 | Average-Normal (4.29–4.67 mmol/L), n = 106 | High-Normal (≥4.68 mmol/L), n = 105 |
---|
Number of complications per patient, mean ± SD | 2.7 ± 2.3 | 2.6 ± 2.5 | 2.4 ± 1.9 |
Length of hospital stay in days, mean ± SD | 28 ± 13 | 24 ± 12 | 23 ± 11 |
| Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).