Is age an independent risk factor for perioperative mortality and morbidity after radical prostatectomy? Analysis of the American college of surgeons national surgical quality improvement program database

Robotic-assisted radical prostatectomy is pushing the boundaries: a national survey of frailty using the national surgical quality improvement program

Background

Robotic-assisted radical prostatectomy (RARP) has been found to be comparable and, in some cases, favorable to open surgical approaches, while being used in a frailer population.

Objectives

We aimed to illustrate the trend in population frailty and compare morbidity and mortality postoperatively in patients who underwent RARP.

Design and Methods

The National Surgical Quality Improvement Program data set was used to select patients who underwent RARP between the years 2011-2019. Age, frailty indicators, surgical characteristics, and perioperative morbidity and mortality were compared between the years 2011-2019 using the chi-square test (χ²) for categorical variables and the one-way analysis of variance (ANOVA) for continuous variables.

Results

Our patient population consisted of 66,683 patients who underwent RARP. There was an increase in mean age and frailty indicated by an increase in 5-item frailty score ⩾2, metabolic syndrome index = 3, and American Society of Anesthesiologists' (ASA) class ⩾3 between the years 2011-2019 (p < 0.001). Whereas the rate of mortality and morbidity, indicated by postoperative Clavien-Dindo grade ⩾4 and major morbidity, remained the same over the same period (p > 0.264). Furthermore, operative time and length of stay decreased over the same period (p < 0.001).

Conclusion

RARP is being performed on more frail patients, with no added morbidity or mortality.

A novel radical prostatectomy specific index (PSI) for the prediction of major cardiovascular events following surgery

PURPOSE

Prostate cancer patients tend to be older with multiple comorbidities and are thus at increased risk for postoperative cardiovascular events after radical prostatectomy (RP). Thus, proper patient selection strategies are essential to decide for or against a surgical approach. We aimed to derive a prostatectomy specific index (PSI) for patients undergoing RP and compare its performance to universally used indices.

METHODS

The cohort was derived from National Surgical Quality Improvement Program database between 2005 and 2012. The primary outcome was incidence of major adverse cardiovascular events at 30 days post-surgery including: death, myocardial infarction, or stroke. A multivariable logistic regression model was constructed, performance and calibration were evaluated using a ROC analysis and the Hosmer-Lemeshow test, the PSI index was derived and compared to the RCRI and AUB-HAS2 indices.

RESULTS

A total of 17,299 patients were included in our cohort, with a mean age of 62 ± 7.4 years. Seventy three patients had a cardiac event post RP. The final PSI index encompassed six variables: history of heart disease, age, anemia, American society of anesthesiology class, surgical approach, and hypertension. The PSI ROC analysis provided C-statistic = 0.72, calibration R² = 0.99 and proper goodness of fit. In comparison, the C-statistics of RCRI and AUB-HAS2 were found to be 0.57 and 0.65, respectively (p value < 0.001).

CONCLUSION

The PSI model is a procedure tailored index for prediction of major cardiovascular events post RP. It was calibrated using a large national database aiming to optimize treatment selection strategies for prostate cancer patients.

An evaluation of the timing of surgical complications following radical prostatectomy: Data from the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP)

Objective

To perform a time-to-complication analysis for radical prostatectomy (RP) and computing risk factors for these complications, as RP is established as a first-line treatment for localised prostate cancer with excellent oncological outcomes but is not without its complications.

Patients and methods

We used the National Surgical Quality Improvement Program (NSQIP) database to analyse data of patients who underwent RP, between 2008 and 2015, with the primary endpoint of time-to-complications. Categorical variables were analysed using descriptive statistics and continuous variables were recorded as medians and interquartile ranges (IQRs) such as timing of complications. Multivariable regression analyses were used to analyse time-to-complication and its effect on other outcomes. A P < 0.05 was defined as statistically significant.

Results

The overall 30-day complication rate was 7.54% and was equally distributed before and after discharge. Bleeding/transfusion (3.37%), urinary tract infection (1.58%), deep venous thrombosis (DVT; 0.74%), and wound infection (1.08%) were the five most common complications after RP. The median (IQR) time-to-complication unique for each complication was: bleeding/transfusion occurred on the same operative day (1), renal complications occurred at 4 (2–6) days, sepsis at 12 (6.5–17.5) days, DVT at 11 (5.5–16.5) days, pneumonia at 4 (0.5–7.5) days, and cardiac arrest occurred at 5 (1.75–8.25) days. After discharge complications were associated with greater odds of re-admission (odds ratio [OR] 16.40, P < 0.001), but associated with a lesser length of stay (OR – 3.33, P < 0.001) when compared to pre-discharge complications.

Conclusion

Several risk factors predict pre- and post-discharge complication rates. Knowledge regarding the timing of complications and their respective risk factors should improve patient–physician communication and prediction, and thus patient care.

Abbreviations

ACS: American College of Surgeons; BMI: body mass index; DM: diabetes mellitus; DVT: deep venous thrombosis; Hct: haematocrit; IQR: interquartile range; LOS: length of stay; NSQIP: National Surgical Quality Improvement Program; OR: odds ratio; RP: radical prostatectomy