Efficacy of Triple-Drug Therapy to Prevent Pancreatic Fistulas in Patients With High Drain Amylase Levels After Pancreaticoduodenectomy

Approach to postpancreatectomy care Impacts outcomes: Retrospective Validation of the PORSCH trial

BACKGROUND

In the recent PORSCH trial, a three-part postpancreatectomy care algorithm was employed with a near 50 ​% reduction in mortality. We hypothesized that clinical care congruent with this protocol would correlate with better outcomes in our patients.

METHODS

Real-world postoperative care was compared to the pathway described by the PORSCH trial and patients were assigned into groups based on congruence with its recommendations. The primary composite outcome (PCO) consisted of 90-day mortality, organ failure, and interventions for bleeding.

RESULTS

Of 289 patients, care of 12 ​% was entirely congruent with the PORSCH algorithm. The PCO was recorded in 9 ​% of the PORSCH care group, 8 ​% of the Partial-PORSCH care group, and 19 ​% of the Non-PORSCH care group (p ​= ​0.044). Adverse outcomes were highest when pancreaticoduodenectomy patients received care incongruent with the algorithm's CT imaging recommendations.

CONCLUSIONS

These results add external validity to the principles of clinical care underlying the PORSCH algorithm.

Non-Surgical Interventions for the Prevention of Clinically Relevant Postoperative Pancreatic Fistula-A Narrative Review

Clinically relevant postoperative pancreatic fistula (CR-POPF) is the leading cause of morbidity and mortality after pancreatic surgery. Post-pancreatectomy acute pancreatitis (PPAP) has been increasingly understood as a precursor and exacerbator of CR-POPF. No longer believed to be the consequence of surgical technique, the solution to preventing CR-POPF may lie instead in non-surgical, mainly pharmacological interventions. Five databases were searched, identifying eight pharmacological preventative strategies, including neoadjuvant therapy, somatostatin and its analogues, antibiotics, analgesia, corticosteroids, protease inhibitors, miscellaneous interventions with few reports, and combination strategies. Two further non-surgical interventions studied were nutrition and fluids. New potential interventions were also identified from related surgical and experimental contexts. Given the varied efficacy reported for these interventions, numerous opportunities for clarifying this heterogeneity remain. By reducing CR-POPF, patients may avoid morbid sequelae, experience shorter hospital stays, and ensure timely delivery of adjuvant therapy, overall aiding survival where prognosis, particularly in pancreatic cancer patients, is poor.

A novel prediction model of pancreatic fistula after pancreaticoduodenectomy using only preoperative markers

BACKGROUND

Since clinically relevant postoperative pancreatic fistula (CR-POPF) can cause intra-abdominal hemorrhage and abscesses, leading to surgery-related deaths after pancreaticoduodenectomy (PD), its preoperative prediction is important to develop strategies for surgical procedures and perioperative management. This study aimed to establish a novel prediction model for CR-POPF using preoperative markers.

METHODS

On a training set of 180 patients who underwent PD at the Yamaguchi University Hospital, a combination of CR-POPF predictors were explored using the leave-one-out method with a unique discrete Bayes classifier. This predictive model was confirmed using a validation set of 366 patients who underwent PD at the Osaka University Hospital.

RESULTS

In the training set, CR-POPF occurred in 60 (33%)　of 180 patients and 130 (36%)　of 366 patients in the validation set using selected markers. In patients with pancreatic ductal adenocarcinoma (PDAC), the main pancreatic duct (MPD) index showed the highest prognostic performance and could differentiate CR-POPF with 87% sensitivity and 81% specificity among 84 patients in the training set. In the validation set, the sensitivity and specificity of the MPD index-based model for 130 PDAC samples were 93% and 87%, respectively. In patients with non-PDAC, the MPD index/body mass index (BMI) combination showed the highest prognostic performance and could differentiate CR-POPF with 84% sensitivity and 57% specificity among 96 patients in the training set. In the validation set, the sensitivity and specificity of the MPD index/BMI-based model for 236 non-PDAC samples were 85% and 53%, respectively.

CONCLUSION

We developed a novel prediction model for pancreatic fistulas after PD using only preoperative markers. The MPD index and MPD index/BMI combination will be useful for CR-POPF assessment in PDAC and non-PDAC samples, respectively.

Role of Early Mobilization on the Clinical Course of Patients who Underwent Pancreaticoduodenectomy: A Retrospective Cohort Study

The length of hospital stay is an important outcome measure in patients who have undergone pancreaticoduodenectomy. Although postoperative complications are known to adversely affect the length of hospital stay (LOS), the influence of early mobilization on LOS has not been clarified yet. This study aimed to examine the impact of the initial ambulation day, which is one of the components of early mobilization, on LOS after pancreaticoduodenectomy. We retrospectively enrolled patients who underwent pancreaticoduodenectomy between January 2013 and December 2017. Postoperative complications were evaluated using the Clavien-Dindo classification (CDC) system. Patients were divided into two groups based on the median LOS (early and late-discharge groups) and compared to determine their characteristics. Multivariate logistic regression analysis was performed with LOS as the dependent variable. Patients in the late-discharge group were significantly older, had an initial ambulation delay, and had higher rates of advanced disease stages and a CDC grade ≥ IIIa than those in the early discharge group. In the multivariate logistic regression analysis, CDC grade ≥ IIIa, initial ambulation day, and age were found to be significant independent factors associated with LOS. Our results demonstrated that not only postoperative complications, but also the initial ambulation day, could affect LOS after pancreaticoduodenectomy, emphasizing the importance of early ambulation for patients who undergo this surgery.

Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy

Background

With the recent emerge of dynamic prediction model on the use of diabetes, cardiovascular diseases and renal failure, and its advantage of providing timely predicted results according to the fluctuation of the condition of the patients, we aim to develop a dynamic prediction model with its corresponding risk assessment chart for clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by combining baseline factors and postoperative time-relevant drainage fluid amylase level and C-reactive protein-to-albumin ratio.

Methods

We collected data of 251 patients undergoing LPD at West China Hospital of Sichuan University from January 2016 to April 2019. We extracted preoperative and intraoperative baseline factors and time-window of postoperative drainage fluid amylase and C-reactive protein-to-albumin ratio relevant to clinically relevant pancreatic fistula by performing univariate and multivariate analyses, developing a time-relevant logistic model with the evaluation of its discrimination ability. We also established a risk assessment chart in each time-point.

Results

The proportion of the patients who developed clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy was 7.6% (19/251); preoperative albumin and creatine levels, as well as drainage fluid amylase and C-reactive protein-to-albumin ratio on postoperative days 2, 3, and 5, were the independent risk factors for clinically relevant postoperative pancreatic fistula. The cut-off points of the prediction value of each time-relevant logistic model were 14.0% (sensitivity: 81.9%, specificity: 86.5%), 8.3% (sensitivity: 85.7%, specificity: 79.1%), and 7.4% (sensitivity: 76.9%, specificity: 85.9%) on postoperative days 2, 3, and 5, respectively, the area under the receiver operating characteristic curve was 0.866 (95% CI 0.737–0.996), 0.896 (95% CI 0.814–0.978), and 0.888 (95% CI 0.806–0.971), respectively.

Conclusions

The dynamic prediction model for clinically relevant postoperative pancreatic fistula has a good to very good discriminative ability and predictive accuracy. Patients whose predictive values were above 14.0%, 8.3%, and 7.5% on postoperative days 2, 3, and 5 would be very likely to develop clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.