Early Complications and Mortality following Radical Cystectomy: Associations with Malnutrition and Obesity.

BACKGROUND: There are conflicting data regarding the impact of obesity on postoperative outcomes following radical cystectomy (RC) and how obesity and malnutrition interact in patients undergoing RC.
OBJECTIVE: To evaluate associations of body mass index (BMI), significant preoperative weight loss, and hypoalbuminemia with 30-day complications and mortality after RC.
METHODS: Review of the American College of Surgeons National Surgical Quality Improvement Program database identified 2,055 patients who underwent RC (2006-12). Univariate and multivariable logistic regression models were developed to assess associations between hypoalbuminemia (<3.5 g/dL), >10% preoperative weight loss, obesity as characterized by BMI (class I: 30-34.9, II: 35-39.9, III: ≥40 kg/m2), and 30-day complications and mortality.
RESULTS: The median BMI of the study cohort was 27.82 kg/m2 with 22.4% classified as having class I, 7.5% class II, and 4.2% class III obesity, respectively. Hypoalbuminemia and >10% weight loss were present in 16.7% and 3.5%, respectively. Among obese patients, 13.4% had hypoalbuminemia. On multivariable analysis, class I (OR 1.43, p = 0.01), class II (OR 1.92, p < 0.001), and class III (OR 2.32, p < 0.001) obesity and hypoalbuminemia (OR 1.47, p = 0.02) were independently associated with 30-day complications, and class III obesity (OR 2.96, p = 0.02) and hypoalbuminemia (OR 2.33, p = 0.03) were independently associated with 30-day mortality.
CONCLUSION: Increasing class of obesity and hypoalbuminemia were independently associated with increased complications following RC. Hypoalbuminemia and class III obesity were associated with early mortality. This study highlights the fact that malnutrition may coexist in obese patients and underscores the need to identify patients with malnutrition who may be candidates for preoperative nutritional optimization.

INTRODUCTION

Radical cystectomy (RC) is the cornerstone of treatment for localized or metastatic muscle-invasive bladder cancer [1]. The association between preoperative malnutrition and greater postoperative complications and short-term mortality following major abdominal surgery is increasingly acknowledged [3-9]. According to the World Health Organization (WHO) criteria, malnutrition may be characterized by low body mass index (BMI < 18.5 kg/m2) and hypoalbuminemia (<3.5 g/dL) [10]. Severe malnutrition, frailty, and cachexia are also signified by rapid, unintentional weight loss [11]. Within the urologic literature, poor preoperative nutritional status has been demonstrated to be independently associated with inferior oncologic outcomes [10, 12–15].

With respect to obesity, as characterized by BMI, however, there are conflicting data regarding the impact of obesity on perioperative and oncologic outcomes following RC. Some authors failed to observe an association between obesity and perioperative morbidity and oncologic outcomes [16], while others have demonstrated that obesity is associated with increased risk of adverse perioperative and long-term oncologic outcomes [10, 17]. Conversely, other studies have observed that increasing obesity is counterintuitively associated with improved outcomes following surgery, a finding that has been termed “The obesity paradox” [18-20]. These conflicting reports may be related to the lack of specificity of the BMI measurement, in that it simply represents weight normalized by height and does not reflect true body composition [21].

Patients undergoing RC are at significant risk for malnutrition due to their age, comorbidities, and disease-related factors [22]. The interaction between obesity and malnutrition and the relative association of these two potentially modifiable risk factors with perioperative outcomes remains to be defined. As such, the objective of this study was to assess the associations between metrics of malnutrition including hypoalbuminemia, significant preoperative weight loss, and classes of obesity as defined by BMI, and 30-day complications and mortality within a contemporary national cohort.

MATERIALS AND METHODS

We queried the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) for all patients who underwent RC between 2006 and 2012. The ACS-NSQIP is a prospectively collected, risk-adjusted, multi-institutional, national clinical registry database for general, urological, and vascular surgery patients. It includes 135 variables including the outcomes of 30-day complications and mortality following major surgical procedures [23]. This study is exempt from IRB approval, since it uses a publicly available deidentified registry.

RC cases performed between 2006 and 2012 were extracted from the dataset using Current Procedure Terminology codes for RC (51570, 51575, 51580, 51585, 51590, 51595, 51596). To minimize confounding associated with significant other major procedures that would not commonly be performed at the same time as RC, we excluded patients who underwent with multiple synchronous unrelated major procedures in addition to RC.

Preoperative nutrition and obesity-related factors that are available in the ACS-NSQIP dataset included preoperative albumin, weight loss >10% within 6 months prior to surgery and preoperative BMI (categorized as underweight (≥18.5), normal weight (18.5–24.9), overweight (25–29.9), class I (30–34.9), II (35–39.9), and III (≥40 kg/m2 obesity). Albumin was dichotomized as greater than or equal to versus below the threshold of 3.5 g/dL [10, 24–26]; <3.5 g/dL was classified as hypoalbuminemia.

Clinical, demographic, and treatment-related factors available included age, sex, race/ethnicity, medical comorbidities (including pulmonary comorbidity [dyspnea or chronic obstructive pulmonary disease], heart disease [congestive heart failure, history of myocardial infarction (MI), prior percutaneous catheterization, previous cardiac surgery, history of angina], baseline paralysis, steroid use, requirement for dialysis, history of stroke, peripheral vascular disease requiring revascularization or amputation, presence of ascites, American Society of Anesthesia (ASA) classification, history of substance abuse (smoking, alcohol use), functional status, exposure to preoperative chemotherapy or radiotherapy, and whether or not the patient had disseminated cancer at the time of surgery. Surgical factors included creation of a continent diversion (e.g. Neobladder) and concurrent lymphadenectomy. A subset of the medical comorbidities included in the analysis (history of MI, prior percutaneous catheterization, previous cardiac surgery, history of angina, paralysis, history of stroke, peripheral vascular disease, alcohol use, and chemotherapy or radiotherapy) were not included in NSQIP after 2011 and therefore only available for a subset of our cohort.

Statistical analysis

Continuous features were described with medians (interquartile range [IQR]). Categorical data were described with numbers (percentages). Chi-square tests assessed differences in hypoalbuminemia and preoperative weight loss by BMI category.

The outcomes of interest included major complications and mortality within 30 days of RC. The major complications reviewed included cardiac arrest, MI, pneumonia, ventilator for >48 hours, unplanned intubation, deep incision surgical site infection, organ space surgical site infection, sepsis, septic shock, deep vein thrombosis, pulmonary embolism, progressive renal insufficiency, acute renal failure, superficial surgical site infection, wound disruption, urinary tract infection, cerebrovascular accident/stroke, coma >24 hours, peripheral nerve injury, return to the operating room, and death.

Univariate and multivariable logistic regression were performed to evaluate associations between clinical, demographic, and surgical factors and the outcomes of interest. The final multivariable models were developed using forward selection of variables independently associated with the outcomes of interest, at the 5% level of significance; BMI category, preoperative weight loss, and hypoalbuminemia were forced to be included in the models. Due to the low prevalence of 30-day mortality, variables for the model of 30-day mortality were further selected based on clinical significance to avoid over-fitting.

Missing values were handled as follows: for descriptive statistics, only the patients for whom the variable was available were included in that variable’s distribution. In the univariate and multivariable modeling, for features with a significant number of patients with unknown values, missing data was included as a separate “unknown” category, or if only missing for a small number, was collapsed with the normal category and or excluded for continuous data, as specified in the multivariable tables.

Statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary NC).

RESULTS

A total of 2,055 patients treated with RC between 2006–2012 were identified, with a median age of 69 (interquartile range [IQR]: 62, 76). The cohort included 1,667 (81.2%) males and 386 (18.8%) females and predominantly consisted of non-Hispanic white patients (n = 1,701 [82.8%]). Continent urinary diversions were undertaken in 426 (20.7%) patients and 1,437 (69.9%) underwent concurrent lymphadenectomy. In total, 1,494 (72.7%) were ASA class III-V and 45 (2.2%) were partially or totally dependent with respect to functional status. Clinical and demographic data for the study cohort is summarized in Table 1.

Table 1

Feature (N available)	Number (%) or Median (Interquartile Range, IQR)
Age (N = 2055)	69 (62,76)
Sex (N = 2053)
Male	1667 (81.2%)
Female	386 (18.8%)
Not available	2
Race/Ethnicity (N = 2055)
Non-Hispanic White	1701 (82.8%)
Hispanic White	29 (1.4%)
Black or African American	68 (3.3%)
Asian, Native Hawaiian, or Pacific Islander	18 (0.9%)
American Indian or Alaska Native	2 (0.1%)
Other or Unknown	237 (11.5%)
Year of Operation (N = 2055)
2006	9 (0.4%)
2007	27 (1.3%)
2008	88 (4.3%)
2009	180 (8.8%)
2010	207 (101%)
2011	677 (32.9%)
2012	867 (42.2%)
Neobladder (continent diversion) (N = 2055)
No	1629 (79.3%)
Yes	426 (20.7%)
Concurrent Lymphadenectomy (N = 2055)
No	618 (30.1%)
Yes	1437 (69.9%)
ASA Class (N = 2054)
I/II	560 (27.3%)
III/IV/V	1494 (72.7%)
Not available	1
Current smoker within 1 year (N = 2055)
No	1513 (73.6%)
Yes	542 (26.4%)
Diabetes mellitus (N = 2055)
Insulin	106 (5.2%)
Non-Insulin/Oral	289 (14.1%)
None	1660 (80.8%)
Hypertension requiring medication (N = 2055)
No	823 (40.0%)
Yes	1232 (60.0%)
Preoperative hematocrit (N = 2004)	38.5 (34.2, 42.0; range 11.8–53.8)
Preoperative creatinine (N = 1992)	1.1 (0.9, 1.3; range 0.2–13.5)
Preoperative GFR (N = 1990)	67.4 (52.0, 83.2; range 3.6–374.9)
Preoperative GFR Category
Normal (eGFR > 90 ml/min/1.732)	340 (17.1%)
CKD 2 (eGFR 60–89 ml/min/1.732)	920 (46.2%)
CKD 3 (eGFR 30–59 ml/min/1.732)	651 (32.7%)
CKD 4 (eGFR 15–29 ml/min/1.732)	66 (3.3%)
CKD 5 (eGFR < 15 ml/min/1.732)	13 (0.7%)
Not available	65
Chemotherapy for malignancy in < 30 days pre-op (N = 1112)
No	988 (88.8%)
Yes	124 (11.2%)
Not available	943
Radiotherapy for malignancy in last 90 days (N = 1112)
No	1106 (99.5%)
Yes	6 (0.5%)
Not available	943
Paralysis (hemiplegia, paraplegia, quadriplegia) (N = 1112)
No	1092 (98.2%)
Yes	20 (1.8%)
Not available	943
Disseminated Cancer/Metastatic disease (N = 2055)
No	1964 (95.6%)
Yes	91 (4.4%)
Steroid use for chronic condition (N = 2055)
No	1997 (97.2%)
Yes	58 (2.8%)
Stroke (CVA, stroke with/without neurological deficits) (N = 1111)
No	1081 (97.3%)
Yes	30 (2.7%)
Not available	944
History of revascularization/amputation for peripheral vascular disease (N = 1112)
No	1097 (98.7%)
Yes	15 (1.3%)
Not available	943
Alcohol consumption >2 drinks/day in the 2 weeks prior to admission (N = 1117)
No	1070 (95.8%)
Yes	47 (4.2%)
Not available	938
Dyspnea (N = 2055)
At rest	8 (0.4%)
With moderate exertion	217 (10.6%)
No	1830 (89.1%)
Functional status (N = 2052)
Independent	2007 (97.8%)
Partially Dependent	38 (1.9%)
Totally Dependent	7 (0.3%)
Not available	3
History of severe COPD (N = 2055)
No	1874 (91.2%)
Yes	181 (8.8%)
Pulmonary comorbidity (N = 2055)
No	1722 (83.8%)
Yes	333 (16.2%)
Ascites (N = 2055)
No	2054 (100.0%)
Yes	1 (0.0%)
Heart disease (CHF, MI, previous PCI, previous cardiac surgery, angina) (N = 1122)
No	929 (82.8%)
Yes	193 (17.2%)
Not available	933
History of angina in the 1 month prior to surgery (N = 1112)
No	1108 (99.6%)
Yes	4 (0.4%)
Not available	943

Note: Demographic, clinical, and treatment-related factors for the study cohort.

Nutritional and obesity-related features of interest (BMI, preoperative albumin level, and preoperative weight loss) are summarized in Table 2. The median BMI of the study cohort was 27.8 kg/m2 (IQR 24.4, 31.6), with 457 (22.4%) with class I, 153 (7.5%) with class II, and 85 (4.2%) with class III obesity. In total, 38 (1.9%) met criteria for underweight BMI (≤18.5 kg/m2). Significant (>10%) weight loss in the 6 months preceding surgery was observed in 71 (3.5%). The median preoperative serum albumin was 4.0 g/dL (IQR: 3.6, 4.3; range 1.4–9.7). Of note, albumin was available in 1,237 (60.2%) patients, overall. Among patients for whom albumin was available, hypoalbuminemia was observed in 207 (16.7%) patients. Among patients for whom preoperative albumin was available, hypoalbuminemia was present in 12.2%, 14.4%, and 17.7% of patients with class I, II, and III obesity, respectively. Figure 1A and 1B demonstrates the prevalence of hypoalbuminemia and significant preoperative weight loss, respectively, across BMI classes. Of note, >10% preoperative weight loss was extremely rare, occurring in 2.2%, 1.3%, and 1.2% of patients for class I, II, and III obesity, respectively.

Table 2

Nutritional Characteristic	Median (IQR; range) or N (%)
Body Mass Index (kg/m2; N = 2038)	27.82 (24.44, 31.63; 10.80–70.85)
BMI Category (WHO Classification) (N = 2038)
Underweight (BMI < 18.5 kg/m2)	38 (1.9%)
Normal weight (BMI 18.5–24.9 kg/m2)	554 (27.2%)
Overweight (BMI 25.0–29.9 kg/m2)	751 (36.8%)
Class I Obesity (BMI 30.0–34.9 kg/m2)	457 (22.4%)
Class II Obesity (BMI 35.0–39.9 kg/m2)	153 (7.5%)
Class III Obesity (BMI > 40 kg/m2)	85 (4.2%)
Not available	17
>10% loss of body weight in the last 6 months (N = 2055)
No	1984 (96.5%)
Yes	71 (3.5%)
Preoperative serum albumin (g/dL; N = 1237)	4 (3.6, 4.3; 1.4–9.7)
Preoperative albumin category (N = 1237)
<3.5 g/dL	207 (16.7%)
≥3.5 g/dL	1030 (83.3%)
Not available	818

Note: Distribution of Nutritional Factors and BMI Classifications.

Fig.1

(A) Note: Proportion of patients (%) with hypoalbuminemia (<3.5 g/dL) prior to radical cystectomy by body mass index category, among patients for whom preoperative albumin levels were available (n-1237). (B) Note: Proportion of patients (%) with >10% weight loss within 6 months prior to radical cystectomy by body mass index category.

In the study cohort, 705 of 2,055 patients (34.3%) experienced >1 complication within 30 days postoperatively, and a total of 63 (3.1%) died within 30 days of RC. Complications included sepsis and septic shock in 274 (13.3%) patients, respiratory complications (pneumonia, ventilator >48 hours, or reintubation) in 142 (6.9%), return to the operating room in 130 (6.3%), and superficial surgical site infection in 130 (6.3%), and 118 (5.7%) patients developed a deep vein thrombosis or pulmonary embolism. The prevalence of complications by type is detailed in Table 3. Blood transfusions were administered to 906 patients (44.1%). Excluding bleeding and transfusion, 332 (16.2%) experienced one complication, 180 (8.8%) experienced two complications, and 193 (9.4%) experienced three or more complications.

Table 3

Operative Detail	Median (IQR) Or N(%)
Total Operative Time (minutes)	329 (258, 419)
Transfusion	906 (44.1%)
Days from cystectomy to discharge from hospital	8 (7, 11)
Complications	N(%)
Any complication	703 (34.3%)
Death within 30 days	63 (3.1%)
Cardiac Arrest requiring CPR	20 (1.0%)
Myocardial Infarction	35 (1.7%)
Respiratory Pneumonia, ventilator >48 hours, reintubation	142 (6.9%)
Pneumonia	77 (3.7%)
Requirement for ventilation >48 hours	55 (2.7%)
Unplanned intubation	76 (3.7%)
Deep Incision Surgical Site Infection	40 (1.9%)
Organ Space Surgical Site Infection	98 (4.8%)
Sepsis or Septic Shock	274 (13.3%)
Sepsis	209 (10.2%)
Septic Shock	70 (3.4%)
DVT or PE	118 (5.7%)
Deep Vein Thrombosis/Thrombophlebitis/DVT Requiring Therapy	81 (3.9%)
Pulmonary Embolism	59 (2.9%)
Progressive Renal Insufficiency	50 (2.4%)
Acute Renal Failure	35 (1.7%)
Superficial Surgical Site Infection	130 (6.3%)
Wound disruption	65 (3.2%)
Urinary Tract Infection	201 (9.8%)
Stroke/CVA with neurological deficit	8 (0.4%)
Coma >24 hours	0 (0.0%)
Peripheral nerve injury	4 (0.2%)
Return to the Operative Room	130 (6.3%)
Days from Principal Operative Procedure to Unplanned	11 (5, 19)
Reoperation (2012 only)
Multiple complications (excluding bleeding/transfusion)
0	1350 (65.7%)
1	332 (16.2%)
2	180 (8.8%)
3	92 (4.5%)
4	35 (1.7%)
5	29 (1.4%)
6	19 (0.9%)
7	13 (0.6%)
8	4 (0.2%)
11	1 (0.0%)

Note: Operative details and 30-day Complications and Mortality (N = 2055).

Univariate and multivariable logistic regression models detailing associations between the nutritional and clinical factors of interest with the outcomes of 30-day complications and 30-day mortality are presented in Tables 4A and 4B respectively. On multivariable analysis, increasing class of obesity, class I (Odds Ratio [OR] 1.43, 95% Confidence Interval [CI] 1.09–1.86; p = 0.01), class II (OR 1.92, 95% CI 1.32–2.79; p < 0.001), and class III (OR 2.32, 95% CI 1.46–3.71; p < 0.001) and hypoalbuminemia (OR 1.47, 95% CI 1.07–2.02; p = 0.02) were independently associated with increased risk of major complications within 30 days of surgery (Table 4A) after adjusting for >10% weight loss, functional status, and dyspnea.

Table 4A

	Univariate Models		Multivariable Model
Feature	Odds Ratio (95% Confidence Interval)	p-value	Odds Ratio (95% Confidence Interval)	p-value
BMI Category (ref = normal [18.5–24.9])
Underweight (<18.5)	1.84 (0.95–3.58)	0.07	1.66 (0.84–3.28)	0.14
Overweight (25.0–29.9)	1.04 (0.82–1.32)	0.72	1.13 (0.89–1.44)	0.33
Obese Class I (30.0–34.9)	1.34 (1.03–1.74)	0.03	1.43 (1.09–1.86)	0.01
Obese Class II (35.0–39.9)	1.82 (1.26–2.63)	0.001	1.92 (1.32–2.79)	<0.001
Obese Class III (≥40.0)	2.23 (1.40–3.53)	<0.001	2.32 (1.46–3.71)	<0.001
Unknown	0.70 (0.23–2.18)	0.54	0.65 (0.20–2.17)	0.49
>10% loss of body weight within 6 months (ref = no)	1.51 (0.93–2.43)	0.09	1.44 (0.88–2.36)	0.15
Preoperative Serum Albumin (ref > 3.5)
<3.5	1.53 (1.13–2.08)	0.006	1.47 (1.07–2.02)	0.02
Unknown	0.89 (0.74–1.09)	0.26	0.88 (0.73–1.08)	0.22
Preoperative Serum Albumin (per 1 g/dL increase)	0.81 (0.66–0.99)	0.04
Neobladder (ref = no)	1.09 (0.88–1.37)	0.43
Lymphadenectomy (ref = no)	0.91 (0.75–1.11)	0.36
Age (per 5-year increase)	1.00 (0.95–1.04)	0.85
Year of Operation (ref = 2012)
2006	2.57 (0.68–9.63)	0.16
2007	1.91 (0.88–4.11)	0.10
2008	1.06 (0.67–1.69)	0.80
2009	1.43 (1.03–1.99)	0.03
2010	0.96 (0.69–1.33)	0.81
2011	1.08 (0.87–1.33)	0.49
Male sex (ref = female)	0.90 (0.72–1.14)	0.38
ASA Class 3–5 (ref = 1–2 or unknown)	1.27 (1.03–1.56)	0.03
Current smoker within 1 year of surgery (ref = no)	1.12 (0.91–1.37)	0.29
Diabetes Mellitus (ref = no)
Insulin-dependent	1.18 (0.79–1.78)	0.41
Treated with oral agents	1.08 (0.83–1.41)	0.55
Preoperative Hematocrit (ref = normal or unknown: male 42+, female 38+)
Very low (male < 32, female < 28)	1.16 (0.85–1.58)	0.35
Low (male 32–41.9, female 28–37.9)	1.02 (0.84–1.25)	0.82
Preoperative eGFR (ref = eGFR≥90 ml/min/1.73m2)
CKD 2 (eGFR 60–89 ml/min/1.732)	0.84 (0.65–1.09)	0.19
CKD 3 (eGFR 30–59 ml/min/1.732)	0.95 (0.72–1.24)	0.69
CKD 4 (eGFR 15–29 ml/min/1.732)	1.06 (0.62–1.83)	0.83
CKD 5 (eGFR < 15 ml/min/1.732)	0.77 (0.23–2.57)	0.68
Unknown	1.02 (0.59–1.77)	0.94
Chemotherapy for malignancy in < 30 days pre-op (ref = no)
Yes	0.68 (0.45–1.04)	0.07
Unknown	1.01 (0.84–1.22)	0.94
Functional Status (ref = independent)
Partially dependent	1.58 (0.83–3.01)	0.17	1.32 (0.68–2.58)	0.41
Totally dependent	11.71 (1.41–97.45)	0.02	12.37 (1.42–107.62)	0.02
Dyspnea (ref = no)
At rest	2.02 (0.50–8.10)	0.32	2.24 (0.55–9.08)	0.26
With moderate exertion	1.57 (1.18–2.09)	0.002	1.49 (1.11–1.99)	0.007

Note: Univariate and Multivariable Logistic Regression Models for Postoperative Complication within 30 days of surgery.

Table 4B

	Univariate Models		Multivariable Model
Feature	Odds Ratio (95% Confidence Interval)	p-value	Odds Ratio (95% Confidence Interval)	p-value
BMI Category (ref = normal [18.5–24.9])
Underweight (<18.5)	3.72 (1.19–11.66)	0.02	3.04 (0.95–9.74)	0.0612
Overweight (25.0–29.9)	0.56 (0.27–1.16)	0.12	0.60 (0.29–1.25)	0.1685
Obese Class I (30.0–34.9)	1.00 (0.49–2.05)	1.00	1.06 (0.51–2.19)	0.8767
Obese Class II (35.0–39.9)	1.29 (0.50–3.33)	0.60	1.36 (0.52–3.53)	0.5291
Obese Class III (≥40.0)	2.84 (1.14–7.05)	0.03	2.96 (1.18–7.42)	0.0207
Unknown	4.21 (0.89–19.89)	0.07	3.74 (0.78–17.91)	0.0983
>10% loss of body weight within 6 months (ref = no)	1.42 (0.43–4.63)	0.57	1.19 (0.35–4.04)	0.7833
Preoperative Serum Albumin (ref > 3.5)
<3.5	2.82 (1.37–5.79)	0.005	2.33 (1.10–4.95)	0.0274
Unknown	1.68 (0.96–2.95)	0.07	1.61 (0.91–2.83)	0.1011
Preoperative Serum Albumin (per 1 g/dL increase)	0.49 (0.29–0.81)	0.006
Neobladder (ref = no)	0.55 (0.26–1.16)	0.12
Lymphadenectomy (ref = no)	1.68 (0.91–3.11)	0.10
Age (per 5-year increase)	1.28 (1.11–1.46)	<0.001
Male sex (ref = female)	0.57 (0.33–0.99)	0.047
Year of Operation (ref = 2012)
2006–2008	1.12 (0.38–3.28)	0.83
2009	0.96 (0.36–2.55)	0.94
2010	2.07 (1.02–4.20)	0.04
2011	0.87 (0.47–1.62)	0.67
ASA Class 3–5 (ref = 1–2 or unknown)	2.30 (1.13–4.69)	0.02
Current smoker within 1 year of surgery (ref = no)	0.79 (0.43–1.45)	0.45
Diabetes Mellitus (ref = no)
Insulin-dependent	1.29 (0.46–3.64)	0.63
Treated with oral agents	1.18 (0.59–2.35)	0.65
Preoperative Hematocrit (ref = normal or unknown: male 42+, female 38+)
Very low (male < 32, female < 28)	1.74 (0.78–3.85)	0.17
Low (male 32–41.9, female 28–37.9)	1.28 (0.71–2.29)	0.42
Preoperative eGFR (ref = eGFR≥90 ml/min/1.73m2)
CKD 2 (eGFR 60–89 ml/min/1.732)	1.43 (0.58–3.54)	0.44
CKD 3 (eGFR 30–59 ml/min/1.732)	2.50 (1.03–6.10)	0.04
CKD 4 (eGFR 15–29 ml/min/1.732) or
CKD 5 (eGFR < 15 ml/min/1.732)	2.20 (0.54–8.90)	0.27
Unknown	2.69 (0.66–11.06)	0.17
Disseminated Cancer (ref = no)	3.35 (1.54–7.25)	0.002
Chemotherapy for malignancy in < 30 days pre-op (ref = no)
Yes	0.46 (0.11–1.94)	0.47
Unknown	0.83 (0.50–1.38)	0.29
Functional Status (ref = independent)
Partially dependent	3.95 (1.36–11.51)	0.01
Totally dependent	5.60 (0.66–47.27)	0.11
Dyspnea (ref = no)
At rest or with moderate exertion	2.18 (1.17–4.09)	0.02
Pulmonary comorbidity (dyspnea or COPD) (ref = no)	2.13 (1.22–3.73)	0.008
Heart disease (ref = no)
Yes	1.83 (0.87–3.84)	0.11
Unknown	0.96 (0.56–1.65)	0.88

Note: Univariate and Multivariable Logistic Regressions for Death within 30 days.

With regards to 30-day mortality, class III obesity (OR 2.96, 95% CI 1.18–7.42; p = 0.02) was independently associated with a nearly 3-fold increase in the risk of 30-day mortality. Hypoalbuminemia was associated with a 2.3-fold increase in the risk of death within 30 days (OR 2.33, 95% CI 1.10–4.95, p = 0.03). The full multivariable model is presented in Table 4B.

DISCUSSION

Currently the morbidity after RC remains high, with a 28–64% 90-day complication rate [27, 28]. In this retrospective study, we utilized the NSQIP database to assess associations between increasing classes of obesity, as characterized by BMI, and markers of malnutrition and 30-day morbidity and mortality following RC in 2,055 patients with bladder cancer.

Our study had two main findings, which demonstrated that class I-III obesity and preoperative hypoalbuminemia (<3.5 g/dL) were independently associated with increased risk of moderate-severe complications within 30 days of RC. Additionally, class III obesity and hypoalbuminemia were independently associated with increased rate of mortality within 30 days.

The finding that hypoalbuminemia is associated with increased risk of adverse postoperative outcomes is well-supported in the urologic literature. Garg and colleagues conducted a retrospective review of 1,097 patients who underwent RC for bladder cancer between 1992–2005 [26]. After adjusting for both organ-confined disease and age-adjusted comorbidity index, a one-unit increase in preoperative albumin was associated with decreased risk of mortality (OR 0.33, 95% CI 0.14–0.75; p = 0.01) within 90 days of RC. A one-unit increase in preoperative albumin was further associated with a decreased risk of developing a postoperative complication (OR 0.61, 95% CI 0.42–0.90; p = 0.01). Furthermore, Gregg and colleagues demonstrated preoperative nutritional deficiency, defined by hypoalbuminemia (<3.5 g/dL), BMI < 18.5 kg/m2 or preoperative weight loss > 5%, significantly predicted increased mortality within 90 days of RC (HR 2.91, 95% CI 1.36–6.23; p < 0.01) [24]. In that study, 90-day survival was estimated to be 84.2% (95% CI 75.5–90; p < 0.01) in patients with nutritional deficiency (n = 103) vs. 94.9% (95% CI 92.3–96.6; p < 0.01) in patients with normal nutritional status (n = 431). Mortality within 90 days of RC was 16.5% (n = 17) vs. 5.1% (n = 22), respectively [24].

Johnson and colleagues similarly interrogated the NSQIP database with the objective of assessing associations between malnutrition, as defined by albumin < 3.5 g/dl, underweight (BMI < 18.5 kg/m2), and significant preoperative weight loss, and 30-day postoperative complications in a cohort of 1,213 patients [10]. After adjusting for age, sex, comorbidities, and year of operation, preoperative hypoalbuminemia (<3.5 g/dL) was the only predictor of developing a postoperative complication (OR 1.79, 95% CI 1.06–3.03; p = 0.03) compared to patients with a preoperative albumin of >3.5 g/dL. These results support the findings of the current study which similarly identified that hypoalbuminemia is independently associated with early complications while no association was observed for significant weight loss or underweight status. However, BMI was treated as a continuous variable. In this study, we evaluated markers of malnutrition including hypoalbuminemia and significant preoperative weight loss in the context of increasing classes of obesity and also assessed the associations between these potentially modifiable risk factors and the outcome of mortality.

There are limitations of the current study that must be acknowledged, primarily related to its retrospective study design and the use of a registry dataset to identify the study cohort. Indeed, limited variables are available when using registry data, and data may also be influenced by abstractor accuracy [31]. The NSQIP database does not include data on clinical staging, which impacts the complexity of the surgery which represents an important potential confounder in a study assessing risk factors for complications [32]. In this cohort, neoadjuvant chemotherapy data was only administered in 11% of the study cohort, which may limit generalizability to current practice where the standard of care is to administer neoadjuvant chemotherapy prior to RC for muscle-invasive bladder cancer. Perhaps the most significant limitation, however, was that serum albumin was only available in 60% of the study cohort as it is not standard of practice, although there is increasing emphasis on characterizing malnutrition in RC patients in the preoperative setting. Patients with missing data for albumin were included as a separate category in the multivariable models. Additionally, one measurement of albumin can be an unreliable indicator of nutritional status as it is an acute phase reactant and can fluctuate with inflammation [33]. Finally, we utilize BMI-based criteria to characterize obesity. However, as previously noted, BMI is nonspecific when assessing for true body composition [21]. As demonstrated by Psutka et al., BMI does not differentiate between excessive adipose tissue and lean muscle mass and may mask severe deficiencies in lean muscularity which has been associated with both decreased survival and increased complications following RC for bladder cancer [21, 33–37]. Occult paucity of lean muscularity, which is considered to be an extreme representation of cancer-associated malnutrition [3], is associated with both increased mortality and postoperative complications in the oncologic literature [38, 39–42]. Interestingly, in the current study, we observed that the prevalence of malnutrition, as characterized by hypoalbuminemia, remained significant among obese patients and increased in prevalence with increasing class of obesity. This finding underscores the importance of ensuring nutritional status is carefully assessed, even among the very obese.

In conclusion, assessment of preoperative nutritional status is imperative when assessing preoperative risk in patients with bladder cancer who are being prepared for RC. An accurate characterization of their overall nutrition, burden of cachexia, and assessment of body composition is important when counseling patients regarding expectations for perioperative complications. It also may inform the selection of patients for intensive nutritional pre-habilitation strategies in the time prior to surgery.

In the current study, using a national, prospectively collected registry, we observed that both increasing class of obesity and preoperative hypoalbuminemia are independently associated with increased risk of postoperative complications. Furthermore, class III obesity and hypoalbuminemia are independently associated with increased risk of death within 30 days of surgery. The current study emphasizes prior work regarding the clinical relevance of hypoalbuminemia in the RC patient and may further inform us on the selection of patients who would derive the greatest benefit from intensive preoperative nutritional optimization.

FUNDING SOURCES

None.

CONFLICT OF INTEREST DISCLOSURES

The authors have no conflict of interest to report.