A novel risk scoring system reliably predicts readmission after pancreatectomy

Discharge C-reactive protein predicts 90-day readmission after pancreatoduodenectomy: a conditional inference tree analysis

BACKGROUND

The aim of this study was to assess the predictive value of discharge C-reactive protein (CRP) and white blood cell (WBC) levels for 90-day readmission after pancreatoduodenectomy (PD).

METHODS

A two-centre, retrospective study was performed between 2008 and 2022. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of CRP level and WBC count at discharge. A conditional inference tree (CTREE) was constructed to identify combined risks within subgroups using variables associated with readmission.

RESULTS

Of 438 patients, 54 (12%) were readmitted. The median WBC count at discharge was comparable between the readmitted and not readmitted groups (9.1 vs. 8.5 G/l). The CRP levels at discharge were predictive of 90-day readmission, with an area under the ROC curve (AUC) of 0.63 (95% CI: 0.55-0.63). A CRP concentration below 105 mg/l ruled out 90-day readmission, with a negative predictive value (NPV) of 90% (95% CI: 81%-95%). CTREE confirmed the diagnostic value of CRP at discharge (AUC = 0.68, 95% CI 0.60-0.68). CTREE additionally identified previous wound infection as a second risk factor for readmission in patients with CRP levels less than 101 mg/l (P = 0.003).

CONCLUSION

CRP levels below 105 mg/l at discharge allow for a safe discharge with a low 90-day readmission rate. Wound infection, but not WBC count, was a positive predictor of 90-day readmission with moderate accuracy, suggesting the need for predischarge imaging for undetected complications in this patient cohort.

TRIAL REGISTRATION

Our retrospective analysis did not require registration with a publicly accessible registry.

Classification of Post-pancreatectomy Readmissions and Opportunities for Targeted Mitigation Strategies

OBJECTIVE

Within a learning health system paradigm, this study sought to evaluate reasons for readmission to identify opportunities for improvement.

BACKGROUND

Post-pancreatectomy readmission rates have remained constant despite improved index hospitalization metrics.

METHODS

We performed a single-institution case-control study of consecutive patients with pancreatectomy (October 2016 to April 2022). Complications were prospectively graded in biweekly faculty and advanced practice provider meetings. We analyzed risk factors during index hospitalization and categorized indications for 90-day readmissions.

RESULTS

A total of 835 patients, median age 65 years and 51% (427/835) males, underwent 64% (534/835) pancreatoduodenectomies, 34% (280/835) distal pancreatectomies, and 3% (21/835) other resections. Twenty-four percent (204/835) of patients were readmitted. The primary indication for readmission was technical in 51% (105/204), infectious in 17% (35/204), and medical/metabolic in 31% (64/204) of patients. Procedures were required in 77% (81/105) and 60% (21/35) of technical and infectious readmissions, respectively, while 66% (42/64) of medical/metabolic readmissions were managed noninvasively. During the index hospitalization, benign pathology [odds ratio (OR): 1.8, P =0.049], biochemical pancreatic leak (OR: 2.3, P =0.001), bile/gastric/chyle leak (OR: 6.4, P =0.001), organ-space infection (OR: 3.4, P =0.007), undrained fluid on imaging (OR: 2.4, P =0.045), and increasing white blood cell count (OR: 1.7, P =0.045) were independently associated with odds of readmission.

CONCLUSIONS

Most readmissions following pancreatectomy were technical in origin. Patients with complications during the index hospitalization, increasing white blood cell count, or undrained fluid before discharge were at the highest risk for readmission. Predischarge risk stratification of readmission risk factors and augmentation of in-clinic resources may be strategies to reduce readmission rates.

Comparing cefazolin/ metronidazole, piperacillin-tazobactam, or c efoxitin as surgical antibiotic prophylaxis in patients undergoing pancreaticoduodenectomy: A retrospective cohort study

BACKGROUND

Preoperative antibiotic options for pancreaticoduodenectomy (PD) include cefoxitin (CX), piperacillin-tazobactam (PT), or combined cefazolin and metronidazole (CM). Recent studies suggest the superiority of PT over CX, but evidence for CM is unclear.

OBJECTIVE

To explore the impact of preoperative antibiotic selection (CM vs. PT and CX vs. PT) on the development of surgical site infections (SSI).

METHODS

Consecutive adult patients at one institution who underwent PD from November 2017 to December 2021 and received either CM, PT, or CX preoperatively, were included. The primary outcome was SSI. Secondary outcomes included postoperative infections and clinically significant postoperative pancreatic fistula (POPF). Logistic regression models were used.

RESULTS

Among 127 patients included in the study, PT, CM, and CX were administered in 46 (36.2%), 44 (34.6%), and 37 (29.4%) patients, respectively. There were 32 (27.1%) SSI, 20 (36.1%) infections, and 21 (22.9%) POPF events. PT use was associated with reduced risk of SSI compared to CX (OR: 0.32, 95% CI: 0.11-0.89, p = 0.03), but there was no difference as compared to CM (OR: 0.75, 95% CI: 0.27-2.13, p = 0.59). There were no differences in secondary outcomes.

CONCLUSION

PT reduced SSI rates compared to CX but was no different to CM among patients undergoing PD at our center.

Evaluating the Impact of Preoperative Geriatric-Specific Variables and Modified Frailty Index on Postoperative Outcomes After Elective Pancreatic Surgery

BACKGROUND

Pursuing pancreatic resection in elderly patients is often complex and limited by concern for functional status and postoperative risk. This study examines the associations between two different preoperative functional status metrics with postoperative outcomes in the geriatric population.

METHODS

Patients who participated in the ACS NSQIP Geriatric Surgery Research File pilot program (2014-2018) undergoing elective pancreatic operations were included. Two clinically meaningful functional status scores were calculated: the presence of one or more geriatric-specific variable (GSV) and a 5-factor modified frailty index (mFI-5). Multivariable logistic regression adjusting for ACS NSQIP-estimated risk was performed to evaluate associations between preoperative GSV, mFI-5 and 30-day outcome measures.

RESULTS

A total of 1266 patients were included: 808 (64%) age 65-74, 302 (24%) age 75-80, and 156 (12%) age ≥ 81; 843 (67%) patients underwent pancreatoduodenectomy. Operations were performed for pancreatic adenocarcinoma in 712 (56%) patients. Older patients had greater likelihood of postoperative morbidity (35% vs 31% vs 47%, by age group, p = 0.004) and discharge to a facility (12% vs 23% vs 48%, by age group, p < 0.001). Adjusting for ACS NSQIP predicted risk, patients with a preoperative GSV were more likely to require reoperation and discharge to a facility (OR 1.81 [95% CI 1.03-3.16] and 3.95 [95% CI 2.91-5.38], respectively). The mFI-5 was not associated with postoperative outcomes (all p ≥ 0.18).

CONCLUSION

The presence of a preoperative GSV is associated with reoperation and discharge to a skilled facility following elective pancreatic resection. Geriatric-specific variables should be considered in joint preoperative decision making to optimize care.

Specialty-Specific Readmission Risk Models Outperform General Models in Estimating Hepatopancreatobiliary Surgery Readmission Risk

BACKGROUND

Readmissions are costly and inconvenient for patients, and occur frequently in hepatopancreatobiliary (HPB) surgery practice. Readmission prediction tools exist, but most have not been designed or tested in the HPB patient population.

METHODS

Pancreatectomy and hepatectomy operation-specific readmission models defined as subspecialty readmission risk assessments (SRRA) were developed using clinically relevant data from merged 2014-15 ACS NSQIP Participant Use Data Files and Procedure Targeted datasets. The two derived procedure-specific models were tested along with 6 other readmission models in institutional validation cohorts in patients who had pancreatectomy or hepatectomy, respectively, between 2013 and 2017. Models were compared using area under the receiver operating characteristic curves (AUC).

RESULTS

A total of 16,884 patients (9169 pancreatectomy and 7715 hepatectomy) were included in the derivation models. A total of 665 patients (383 pancreatectomy and 282 hepatectomy) were included in the validation models. Specialty-specific readmission models outperformed general models. AUC characteristics of the derived pancreatectomy and hepatectomy SRRA (pancreatectomy AUC=0.66, hepatectomy AUC=0.74), modified Readmission After Pancreatectomy (AUC=0.76), and modified Readmission Risk Score for hepatectomy (AUC=0.78) outperformed general models for readmission risk: LOS/2 + ASA integer-based score (pancreatectomy AUC=0.58, hepatectomy AUC=0.66), LACE Index (pancreatectomy AUC=0.54, hepatectomy AUC=0.62), Unplanned Readmission Nomogram (pancreatectomy AUC=0.52, hepatectomy AUC=0.55), and institutional ARIA (pancreatectomy AUC=0.46, hepatectomy AUC=0.58).

CONCLUSION

HPB readmission risk models using 30-day subspecialty-specific data outperform general readmission risk tools. Hospitals and practices aiming to decrease readmissions in HPB surgery patient populations should use specialty-specific readmission reduction strategies.

Development and Implementation of a Complex Health System Intervention Targeting Transitions of Care from Hospital to Post-acute Care

BACKGROUND

Failure of effective transitions of care following hospitalization can lead to excess days in the hospital, readmissions, and adverse events. Evidence identifies both patient and system factors that influence poor care transitions, yet health systems struggle to translate evidence into complex interventions that have a meaningful impact on care transitions.

OBJECTIVE

We report on our experience developing, pilot testing, and evaluating a complex intervention (Addressing Complex Transitions program, or ACT program) that aims to improve care transitions for complex patients.

DESIGN

Following the Medical Research Council (MRC) framework, we engaged in iterative, stakeholder-driven work to develop a complex care intervention, assess feasibility and pilot methods, evaluate the intervention in practice, and facilitate ongoing implementation monitoring and dissemination.

PARTICIPANTS

Patients receiving care from UW Medicine's health system including 4 hospitals and 20-site Post-Acute Care network.

INTERVENTION

Literature review and prospective data collection activities informed ACT program design. ACT program components include a tailored risk calculator that provides real-time scoring of transitions of care risk factors, a multidisciplinary team with the capacity to address complex barriers to safe transitions, and enhanced discharge workflows to improve care transitions for complex patients.

KEY MEASURES

Program evaluation metrics included estimated hospital days saved and program acceptance by care team members.

KEY RESULTS

During the 6-month pilot, 565 patients were screened and 97 enrolled in the ACT program. An estimated 664 hospital days were saved for the index admission of ACT program participants. Analysis of pre/post-hospital utilization for ACT program participants showed an estimated 3227 fewer hospital days after ACT program enrollment.

CONCLUSIONS

Health systems need to address increasingly difficult challenges in care delivery. The use of evidence-based frameworks, such as the MRC framework, can guide systems to design complex interventions that respond to their local context and stakeholder needs.

Effect of Enhanced Recovery After Surgery program on hospital stay and 90-day readmission after pancreaticoduodenectomy: a single, tertiary center experience in Korea

Purpose

Despite increasing number of reports on Enhanced Recovery After Surgery program (ERAS) and readmission after pancreaticoduodenectomy (PD) from Western countries, there are very few reports on this topic from Asian countries. This study aimed to evaluate the effects of ERAS on hospital stay and readmission and to identify reasons and risk factors for readmission after PD.

Methods

This retrospective cohort study included 670 patients who underwent open PD from January 2003 to December 2017. The patients were classified into ERAS (n = 352) and non-ERAS (n = 318) groups. Patients' characteristics, perioperative outcomes, and readmission rates were compared.

Results

There were no significant differences in the postoperative complication rates between the groups. The mean postoperative hospital stay was significantly shorter in the ERAS group (24.5 vs. 18.0 days, P < 0.001), but the 90-day readmission rate was similar in the 2 groups (9.1% vs. 8.5%, P = 0.785). Complications associated with pancreatic fistula (42.4%) were the most common cause for readmission. In the multivariate analysis, diabetes mellitus (odds ratio [OR], 1.84; 95% confidence interval [CI], 1.05–3.24; P = 0.034), preoperative non-jaundice (OR, 0.45; 95% CI, 0.25–0.82; P = 0.009) and severe postoperative complications (OR, 4.12; 95% CI, 2.34–7.26; P < 0.001) were identified as risk factors for readmission.

Conclusion

The results confirmed that the ERAS program for PD was beneficial in reducing postoperative stay without increasing readmission risks. To decrease readmission rates, prudent discharge planning and medical support should be considered in patients who experience severe complications.

Wound protectors mitigate superficial surgical site infections after pancreatoduodenectomy

BACKGROUND

Whether the choice of antibiotic prophylaxis, the type of incision, or the use of wound protectors decreases surgical site infections (SSIs) in patients undergoing pancreatoduodenectomy (PD) remains unknown.

METHODS

Patients undergoing open, elective PD between January 1, 2016 and June 30, 2017 were identified from the American College of Surgeons' National Surgical Quality Improvement Program registry. Multivariable logistic regression models were constructed to determine the association of antibiotic prophylaxis type, incision type, and wound protector use on the incidence of any, superficial, and organ/space SSIs, and to profile hospitals.

RESULTS

Overall, 5969 patients were included from 140 hospitals. The overall rate of SSI was 20.3% (n = 1213). Superficial SSIs occurred in 432 (7.2%) patients and organ/space SSIs in 841 (14.1%). Wound protector use was associated with 23% lower odds of experiencing any SSIs (OR 0.77, 95% CI 0.60-0.98), reflective of the decreased odds associated with superficial SSIs (OR 0.65, 95% CI 0.44-0.97), but not organ/space SSIs (OR 0.89, 95% CI 0.68-1.17). Highest-performing hospitals frequently utilized broad-spectrum antibiotics, midline incisions, and wound protectors.

CONCLUSION

Wound protectors reduced superficial, but not organ/space, infections in patients undergoing pancreatoduodenectomy. Routine use of wound protectors in patients undergoing proximal pancreatectomy is recommended.

Multivariable analysis of predictors of unplanned hospital readmission after pancreaticoduodenectomy: development of a validated risk score

BACKGROUND

Unplanned hospital readmission after pancreaticoduodenectomy (PD) is usually due to surgical complications and has significant clinical and economic impact. This study developed a risk score to predict 30-day readmission after PD.

METHODS

Patients undergoing PD between 2009 and 2016 were reviewed from a prospective database. Predictors of readmission were identified using a multivariable logistic regression model, from which a points-based risk scoring system was derived.

RESULTS

81 of 518 patients (15.6%) were readmitted within 30 days. History of cardiac disease ([odds ratio] OR = 2.12; 95% CI: 1.12-4.56), CRP>140 mg/L on post-operative day 3 (OR = 2.34; 95% CI: 1.37-4.35) and comprehensive complication index >14 (OR = 1.74; 95% CI: 1.03-2.85) were independent predictors of readmission. The regression coefficients were used to generate a risk score with excellent calibration (p = 0.917) and good discrimination (c-index = 0.65; 95% CI: 0.58-0.71; p < 0.001). Patients were categorised as low, moderate and high risk, with readmission rates of 6.4%, 13.4% and 23.0% respectively (p < 0.001).

CONCLUSION

The risk score identifies patients at high risk of readmission after pancreaticoduodenectomy. Such patients may benefit from pre-discharge imaging and/or enhanced follow-up, which may potentially reduce the impact of readmissions.

Severe morbidity after pancreatectomy is accurately predicted by preoperative pancreatic resection score (PREPARE): A prospective validation analysis from a medium-volume center

BACKGROUND

Major morbidity in pancreatic surgery remains high. Different scores for predicting complications have been described. Preoperative pancreatic resection (PREPARE) score is based on objective preoperative variables and offers good predictive accuracy for Clavien ≥ III complications. This study aimed to validate this score and analyze other preoperative variables in a prospective study performed in a medium-volume center.

METHODS

A total of 50 pancreatic resections were included. Preoperative variables were registered and PREPARE was calculated. The main outcome was severe morbidity (Clavien ≥ III) up to 30 days after discharge. The secondary outcomes were length of stay (LOS) and readmission. Statistical validation was performed to compare severe morbidity rate among the scores categories. Association with other preoperative variables (not included in PREPARE) was also tested.

RESULTS

Of the 50 pancreatic resections, the severe morbidity was 34.0%, with median LOS of 11 days. Readmission rate was 25.5%. Severe morbidity rates according to PREPARE categories were 18.5% in low-risk group, 41.7% in intermediate-risk group, and 63.6% in high-risk group, respectively (P = 0.023). The accuracy was 72% (Hosmer-Lemeshow, P = 0.86). ROC curve was obtained both for PREPARE score expressed as incremental values and categorized as the three risk groups, showing an area under curve (AUC) of 0.736 (95% CI: 0.586-0.887; P = 0.007) and 0.712 (95% CI: 0.555-0.869; P = 0.015), respectively. PREPARE was significant in multivariate analysis. Median LOS was statistically higher as PREPARE category increases (9, 11 and 15 days in low-, intermediate- and high-risk groups, respectively; P = 0.009). Readmission was not associated with any variables.

CONCLUSIONS

PREPARE behaves as an independent risk factor for severe morbidity after pancreatic surgery. Score validation shows good accuracy prediction. Increasing PREPARE category is also associated with longer LOS.

Specific Medicare Severity-Diagnosis Related Group Codes Increase the Predictability of 30-Day Unplanned Hospital Readmission After Pancreaticoduodenectomy

BACKGROUND

The Medicare Severity-Diagnosis Related Group coding system (MS-DRG) is routinely used by hospitals for reimbursement purposes following pancreatic surgery. We aimed to determine whether specific pancreatectomy MS-DRG codes, when combined with distinct clinicopathologic and perioperative characteristics, increased the accuracy of predicting 30-day readmission after pancreaticoduodenectomy (PD).

METHODS

Demographic, clinicopathologic, and perioperative factors were compared between readmitted and non-readmitted patients at Brigham and Women's Hospital following PD. Different pancreatectomy DRG codes, currently used for reimbursement purposes [407: without complication/co-morbidity (CC), 406: with CC, and 405: with major CC] were combined with clinical factors to assess their predictability of readmission. Univariate and multivariable analyses were performed to evaluate outcomes.

RESULTS

Among 354 patients who underwent PD between 2010 and 2017, 69 (19%) were readmitted. The incidence of readmission was 13, 32, and 55% for patients with assigned DRG codes 407, 406, and 405, respectively (P = 0.0395). Readmitted patients were more likely to have had T4 disease (P = 0.0007), a vascular resection (P = 0.0078), and longer operative times (P = 0.012). On multivariable analysis, combining DRG 407 with relevant clinicopathologic factors was unable to predict readmission. In contrast, DRG 406 code among patients with N positive disease (P = 0.0263) and LOS > 10 days (P = 0.0505) was associated with readmission. DRG 405, preoperative obstructive jaundice (OR: 7.5, CI: 1.5-36, P = 0.0130), vascular resection (OR: 7.7, CI: 1.1-51, P = 0.0336), N positive stage of disease (OR: 0.2, CI: 0-0.9, P = 0.0447), and operative time > 410 min (OR: 5.9, CI: 1-32, P = 0.0399) were each strongly associated with 30-day readmission after PD [likelihood ratio (LR) < 0.0001].

CONCLUSIONS

Distinct pancreatectomy MS-DRG classification codes (405), combined with relevant clinicopathologic and perioperative characteristics, strongly predicted 30-day readmission after PD. DRG classification algorithms can be implemented to more accurately identify patients at a higher risk of readmission.

Neoadjuvant Therapy Versus Upfront Resection for Pancreatic Cancer: The Actual Spectrum and Clinical Burden of Postoperative Complications

BACKGROUND

Neoadjuvant therapy (NAT) is used for borderline-resectable or locally advanced pancreatic cancer (PDAC) and exhibits promising results in terms of pathological outcomes. However, little is known about its effect on surgical complications.

METHODS

We analyzed 445 pancreatic resections for PDAC from 2014 to 2016 at The Pancreas Institute, Verona University Hospital. The Modified Accordion Severity Grading System and average complication burden (ACB) were used to compare patients treated with NAT with patients who underwent upfront surgery (UFS).

RESULTS

Of 305 pancreaticoduodenectomies (PD), patients treated with NAT (n = 99) had less pancreatic fistula (POPF, 9.1% vs. 15.6%, p = 0.05) without grade C cases, but grade B ACB was increased (0.28 for NAT vs. 0.24 for UFS, p = 0.05). The postpancreatectomy hemorrhage (PPH) rate was lower in the NAT group (9.1% vs. 14.6%, p = 0.02), but ACB grades B (0.37 for NAT vs. 0.26 for UFS, p = 0.03) and C (0.43 for NAT vs. 0.29 for UFS, p = 0.05) were increased. Delayed gastric emptying (DGE) was increased in NAT cases (15.2% vs. 8.3%, p = 0.04), with higher grade C ACB (0.43 for NAT vs. 0.29 for UFS, p = 0.03). Of 94 distal pancreatectomies (DP), NAT patients (n = 26) developed more grade C POPF (11.5% vs. 1.5%, p = 0.04) and DGE (11.5% vs. 2.9%, p = 0.01) without differences in ACB.

CONCLUSIONS

Patients undergoing PD for PDAC after NAT exhibited reduced incidence of POPF and PPH but increased incidence of DGE compared with patients treated with UFS. Among patients developing postoperative complications after PD, those receiving NAT were associated with increased clinical burden.

Pneumonia is associated with a high risk of mortality after pancreaticoduodenectomy

BACKGROUND

Pancreatectomy is associated with a high complication rate that varies between 40-60%. Although many specific complications have been extensively studied, postoperative pneumonia has received little attention.

METHODS

Patients undergoing pancreaticoduodenectomy (n = 1,090) and distal pancreatectomy (n = 436) from 2002 to 2014 at Thomas Jefferson University Hospital were retrospectively assessed for postoperative pneumonia. Incidence, predictive factors, and outcomes were determined.

RESULTS

Pneumonia was diagnosed in 4.3% of patients after pancreaticoduodenectomy and 2.5% after distal pancreatectomy. The majority of the pneumonias were attributed to aspiration (87.2% and 81.8%, respectively). Pneumonias were more frequently severe (Clavien-Dindo grades 4 or 5) in the pancreaticoduodenectomy group compared to the distal pancreatectomy group (55.3% vs 9.1%, P = .006). Post-pancreaticoduodenectomy pneumonia predictors included delayed gastric emptying (odds ratio 8.2, P < .001), oxygen requirement on postoperative day 3 (odds ratio 3.2, P = .005), and chronic obstructive pulmonary disease (odds ratio 3.1, P = .049). In the post-pancreaticoduodenectomy group, pneumonia was associated with a very high 90-day mortality compared with those who did not have pneumonia (29.8% vs 2.1%, P < .001) and had the largest effect on mortality after pancreaticoduodenectomy (odds ratio 9.6, P < .001). A preoperative risk score model for pneumonia post-pancreaticoduodenectomy was developed.

CONCLUSION

Pneumonia after pancreaticoduodenectomy is an uncommon but highly morbid event and is associated with a substantially increased risk of perioperative death.

Comparing early and delayed repair of common bile duct injury to identify clinical drivers of outcome and morbidity

BACKGROUND

Outcomes following repair of common bile duct injury (CBDI) are influenced by center and surgeon experience. Determinants of morbidity related to timing of repair are not fully described in this population.

METHODS

Patients with CBDI managed surgically at a single center from January 2008 to June 2015 were retrospectively reviewed. Outcomes of patients undergoing early (≤48 h from injury) and delayed (>48 h) repair were compared. Predictive modeling for readmission was performed for patients undergoing delayed repair.

RESULTS

In total, 61 patients underwent surgical biliary reconstruction. Between the early and delayed repair groups, no differences were found in patient demographics, injury classification subtype, vasculobiliary injury (VBI) incidence, hospital length of stay, 30-day readmission rate, or 90-day mortality rate. Patients undergoing delayed repair exhibited increased chance of readmission if VBI was present or if multiple endoscopic procedures were performed prior to repair. A predictive model was constructed with these variables (ROC 0.681).

CONCLUSION

When managed by a tertiary hepatopancreatobiliary center, equivalent outcomes can be realized for patients undergoing early and delayed repair of CBDI. Establishment of evidence-based consensus guidelines for evaluation and treatment of CBDI may allow identification of factors that drive morbidity and predict clinical outcomes in this population.

Discharge with Pancreatic Fistula after Pancreaticoduodenectomy Independently Predicts Hospital Readmission

Readmission rates after pancreaticoduodenectomy (PD) are among the highest of any surgical procedure. The purpose of this study was to identify those factors present at discharge that may predict readmission after PD. All patients undergoing PD between 2010 and 2015 at a very high (>35 PD/year) volume center were entered into a prospective database. Twenty factors present at discharge from index admission identified on univariate analysis were subjected to multivariate analysis to identify those independently predictive of 30-day hospital readmission. A total of 220 patients underwent PD during the study period, 88 per cent of which had cancer. Mean age was 64.4 ± 11.7 years with slight male preponderance (54.5%) and significant African American representation (33.2%). Surgical complications occurred in 67.3 per cent of patients the most common of which included infectious/leak (30%), gastrointestinal (29%), cardiorespiratory (13%), other (13%), minor complications (7%), multi system failure (5%), and new onset diabetes (3%). The 30-day readmission rate was 27.3 per cent and was due to infection (89%), failure to thrive (32%), nausea/vomiting (15%), or other (15%). On multivariate analysis, presence of pancreatic leak/fistula at discharge was the only significant predictor of readmission, present in 62.5 per cent of all readmitted patients ( P = 0.001). Comorbidities, length of stay, insurance status, obesity, smoking, and discharge to a care venue other than home did not predict readmission. Patients manifesting pancreatic fistula after PD are at high risk for hospital readmission. Enhanced scrutiny regarding suitability for discharge should be exercised in these patients and measures taken to minimize readmission whenever possible.

Investigating Transitional Care to Decrease Post-pancreatectomy 30-Day Hospital Readmissions for Dehydration or Failure to Thrive

BACKGROUND

Current literature emphasizes post-operative complications as a leading cause of post-pancreatectomy readmissions. Transitional care factors associated with potentially preventable conditions such as dehydration and failure to thrive (FTT) may play a significant role in readmission after pancreatectomy and have not been studied.

METHODS

Thirty-one post-pancreatectomy patients, who were readmitted for dehydration or FTT between 2009 and 2014, were compared to 141 nonreadmitted patients. Medical record review and a questionnaire-based survey, specifically designed to assess transitional care, were used to identify predictors of readmissions for dehydration or FTT. Logistic regression models were used to evaluate outcomes.

RESULTS

On multivariable analysis, the strongest predictors of readmission for dehydration and FTT were the patient's lower educational level (P = 0.0233), the absence of family during the delivery of discharge instructions (P = 0.0098), episodic intermittent nausea at discharge (P = 0.0019), uncertainty about quantity, quality, or frequency of fluid intake (P = 0.0137), and the inability or failure to adhere to the clinician's instructions in the outpatient setting (P = 0.0048).

CONCLUSION

Transitional-care-related factors are found to be associated with post-pancreatectomy readmission for dehydration and FTT. Using these results to identify high-risk patients and implement focused preventive measures combining efficient communication and optimal inpatient and outpatient management could potentially decrease readmission rates.

Re-admission after gastro-intestinal surgery

Re-admission is a new concept in France, born with the advent of day-case surgery, and defined as any re-admission occurring within 30 days after surgery. The re-admission rate has increasingly come to be considered a criterion of the quality of medical care, by both the medical profession and by insurance companies. This report outlines the generalities and definitions related to re-admission after gastro-intestinal surgery, describes the current situation, rationalizes the value of re-admission rates as a measure of quality of care, details the risk factors for re-admission according to the type of intervention, exposes the possible means of prevention and what to do when a patient comes to the emergency room within 30 days after an operation.

Early hospital readmission for gastrointestinal-related complications predicts long-term mortality after pancreatectomy

BACKGROUND

The purpose of this study was to investigate the prognostic significance of early (30-day) hospital readmission (EHR) on mortality after pancreatectomy.

METHODS

Using a prospectively collected institutional database linked with a statewide dataset, we evaluated the association between EHR and overall mortality in all patients undergoing pancreatectomy at our tertiary institution (2005 to 2010).

RESULTS

Of 595 pancreatectomy patients, EHR occurred in 21.5%. Overall mortality was 29.4% (median follow-up 22.7 months). Patients with EHR had decreased survival compared with those who were not readmitted (P = .011). On multivariate analysis adjusting for baseline group differences, EHR for gastrointestinal-related complications was a significant independent predictor of mortality (hazard ratio 2.30, P = .001).

CONCLUSIONS

In addition to known risk factors, 30-day readmission for gastrointestinal-related complications following pancreatectomy independently predicts increased mortality. Additional studies are necessary to identify surgical, medical, and social factors contributing to EHR, as well as interventions aimed at decreasing postpancreatectomy morbidity and mortality.