Readmissions after colorectal surgery cannot be predicted

Evaluation of the Rothman Index in Predicting Readmission after Colorectal Resection

The Rothman Index (RI) is a real-time health indicator score that has been used to quantify readmission risk in several fields but has never been studied in gastrointestinal surgery. In this retrospective single-institution study, the association between RI scores and readmissions after unplanned colectomy or proctectomy was evaluated in 427 inpatients. Patient demographics and perioperative measures, including last RI, lowest RI, and increasing/decreasing RI score, were collected. In the selected cohort, 12.4% of patients were readmitted within 30 days of their initial discharge. Last RI, lowest RI, decreasing RI, and increasing RI scores remained significant after controlling for covariates in separate multivariate regression analyses. The last RI score at the time of discharge was found to be the most strongly associated with 30-day readmission risk following colorectal resection. These findings support the RI as a potential tool in the inpatient management of postoperative patients to identify those at high risk of readmission.

Predicting Colorectal Surgery Readmission Risk: a Surgery-Specific Predictive Model

Most current predictive models for risk of readmission were primarily designed from non-surgical patients and often utilize administrative data alone. Models built upon comprehensive data sources specific to colorectal surgery may be key to implementing interventions aimed at reducing readmissions. This study aimed to develop a predictive model for risk of 30-day readmission specific to colorectal surgery patients including administrative, clinical, laboratory, and socioeconomic status (SES) data. Patients admitted to the colorectal surgery service who underwent surgery and were discharged from an academic tertiary hospital between 2017 and 2019 were included. A total of 1549 patients met eligibility criteria for this retrospective split-sample cohort study. The 30-day readmission rate of the cohort was 19.62%. A multivariable logistic regression was developed (C=0.70, 95% CI 0.61-0.73), which outperformed two internationally used readmission risk prediction indices (C=0.58, 95% CI 0.52-0.65) and (C=0.60, 95% CI 0.53-0.66). Tailored surgery-specific readmission models with comprehensive data sources outperform the most used readmission indices in predicting 30-day readmission in colorectal surgery patients. Model performance is improved by using more comprehensive datasets that include administrative and socioeconomic details about a patient, as well as clinical information used for decision-making around the time of discharge.

Measuring Patient Compliance With Remote Monitoring Following Discharge From Hospital After Major Surgery (DREAMPath): Protocol for a Prospective Observational Study

Background

The incidence of major surgery is on the rise globally, and more than 20% of patients are readmitted to hospital following discharge from hospital. During their hospital stay, patients are monitored for early detection of clinical deterioration, which includes regularly measuring physiological parameters such as blood pressure, heart rate, respiratory rate, temperature, and pulse oximetry. This monitoring ceases upon hospital discharge, as patients are deemed clinically stable. Monitoring after discharge is relevant to detect adverse events occurring in the home setting and can be made possible through the development of digital technologies and mobile networks. Smartwatches and other technological devices allow patients to self-measure physiological parameters in the home setting, and Bluetooth connectivity can facilitate the automatic collection and transfer of this data to a secure server with minimal input from the patient.

Objective

This paper presents the protocol for the DREAMPath (Domiciliary Recovery After Medicalization Pathway) study, which aims to measure compliance with a multidevice remote monitoring kit after discharge from hospital following major surgery.

Methods

DREAMPath is a single-center, prospective, observational, cohort study, comprising 30 patients undergoing major intracavity surgery. The primary outcome is to assess patient compliance with wearable and interactive smart technology in the first 30 days following discharge from hospital after major surgery. Secondary outcomes will explore the relation between unplanned health care events and physiological data collected in the study, as well as to explore a similar relationship with daily patient-reported outcome measures (Quality of Recovery–15 score). Secondary outcomes will be analyzed using appropriate regression methods. Cardiopulmonary exercise testing data will also be collected to assess correlations with wearable device data.

Results

Recruitment was halted due to COVID-19 restrictions and will progress once research staff are back from redeployment. We expect that the study will be completed in the first quarter of 2022.

Conclusions

Digital health solutions have been recently made possible due to technological advances, but urgency in rollout has been expedited due to COVID-19. The DREAMPath study will inform readers about the feasibility of remote monitoring for a patient group that is at an increased risk of acute deterioration.

Trial Registration

ISRCTN Registry ISRCTN62293620; https://www.isrctn.com/ISRCTN62293620

International Registered Report Identifier (IRRID)

DERR1-10.2196/30638

Evaluation of the Pharmacokinetics of Felcisetrag (TAK-954), a 5-HT4 Receptor Agonist, in the Presence and Absence of Itraconazole, a Potent CYP3A4 Inhibitor

The 5-hydroxytryptamine type-4 receptor agonist felcisetrag (TAK-954) is being investigated for improving gastrointestinal motility in postoperative gastrointestinal dysfunction. Polypharmacy often occurs in this setting, and as in vitro data indicate, felcisetrag is primarily metabolized by cytochrome P450 (CYP) 3A4, its CYP3A4-mediated drug-drug interaction potential requires consideration. This phase 1, fixed-sequence, open-label, crossover trial (ClinicalTrials.gov identifier NCT03173170) investigated the effect of itraconazole, a potent CYP3A4 inhibitor, on felcisetrag pharmacokinetics in healthy adults. Over 2 study periods (period 1, 6 days; period 2, 9 days), participants received a single felcisetrag 0.2-mg intravenous dose (day 1, period 1; and day 4, period 2), and once-daily oral itraconazole 200-mg doses (days 1-8, period 2). For felcisetrag alone, felcisetrag total systemic exposure was lower than with itraconazole coadministration. The geometric mean ratio for area under the plasma concentration-time curve from time 0 to infinity of felcisetrag plus itraconazole: felcisetrag alone was 1.49 (90% confidence interval, 1.39-1.60). Peak exposure was similar between regimens (geometric mean ratio, 1.06; 90% confidence interval, 0.96-1.18), and both treatments were well tolerated. These data suggest limited CYP3A4-mediated drug-drug interaction inhibition for felcisetrag.

Diverting ileostomy itself may not increase the rate of postoperative readmission related to dehydration after low anterior resection

Purpose

This study was performed to evaluate the risk of readmission in the first year after low anterior resection (LAR) for patients with rectal cancer and to identify the contributing factors for readmission related to dehydration specifically.

Methods

This was a retrospective analysis of 570 patients who underwent LAR for rectal cancer at National Cancer Center, Republic of Korea. A diverting loop ileostomy was performed in 357 (62.6%) of these patients. Readmission was defined as an unplanned visit to the emergency room or admission to the ward. The reasons for readmission were reviewed and compared between the ileostomy (n = 357) and no-ileostomy (n = 213) groups. The risk factors for readmission and readmission due to dehydration were analyzed using multivariable logistic and Cox proportional hazard model.

Results

Dehydration was the most common cause of readmission in both groups (ileostomy group, 6.7%, and no-ileostomy group, 4.7%, P = 0.323). On multivariable analysis, risk factors for readmission were an estimated intraoperative blood loss of ≥400 mL (odds ratio [OR], 1.757; 95% confidence interval [CI], 1.058-2.918; P = 0.029), and postoperative chemotherapy (OR, 2.914; 95% CI, 1.824-4.653; P < 0.001). On multivariable analysis, postoperative chemotherapy, and not a diverting loop ileostomy, was an independent risk factor for dehydration-related readmission (OR, 5.102; 95% CI, 1.772-14.688; P = 0.003).

Conclusion

The most common cause of readmission after LAR for rectal cancer was dehydration, as reported previously. Postoperative chemotherapy, not the creation of a diverting ileostomy, was identified as the risk factor associated with readmission related to dehydration.

A risk model for prediction of 30-day readmission rates after surgical treatment for colon cancer

PURPOSE

The purpose of this study was to develop a risk model for the prediction of 30-day unplanned readmission rate after surgery for colon cancer.

METHOD

This study was a cross-sectional analysis of data from Nationwide Readmissions Database, collected during 2010-2014. Patients ≥ 18 years of age who underwent surgery for colon cancer were included in the study. The primary outcome of the study was 30-day unplanned readmission rate.

RESULTS

There were 141,231 index hospitalizations for surgical treatment of colon cancers and 16,551 had unplanned readmissions. Age, sex, primary payer, Elixhauser comorbidity index, node positive or metastatic disease, length of stay, hospital bedsize, teaching status, hospital ownership, presence of stoma, surgery types, surgery procedures, infectious complications, surgical complications, mechanical wounds, pulmonary complications, and gastrointestinal complications were selected for the risk analysis during backward regression model. Based on the estimated coefficients of selected variables, risk scores were developed and stratified as low risk (≤ 1.08), moderate risk (> 1.08 to ≤ 1.5), and high risk (> 1.5) for unplanned readmission. Validation analysis (n = 42,269) showed that 7.1% of low-risk individuals, 11.1% of moderate-risk individuals, and 17.1% of high-risk individuals experienced unplanned readmissions (P < 0.001). Pairwise comparisons also showed statistically significant differences between low-risk and moderate-risk participants (P < 0.001), between moderate-risk and high-risk participants (P < 0.001), and between low-risk and high-risk participants (P < 0.001). The area under the ROC curve was 0.622.

CONCLUSIONS

Our risk model could be helpful for risk-stratifying patients for readmission after surgical treatment for colon cancer. This model needs further validation by incorporating all possible clinical variables.

Predictors of Readmission Following Proctectomy for Rectal Cancer

BACKGROUND

Unplanned readmission after surgery negatively impacts surgical recovery. Few studies have sought to define predictors of readmission in a rectal cancer cohort alone. Readmission following rectal cancer surgery may be reduced by the identification and modification of factors associated with readmission.

OBJECTIVES

This study seeks to characterize the predictors of 30-day readmission following proctectomy for rectal cancer.

DESIGN

This study is a retrospective analysis of prospectively gathered cohort data. Outcomes were compared between readmitted and nonreadmitted patients. Multivariate analysis of factors association with readmission was performed by using binary logistic regression.

SETTINGS

This study was conducted at Beaumont Hospital, a nationally designated, publicly funded cancer center.

PATIENTS

Two hundred forty-six consecutive patients who underwent proctectomy for rectal cancer between January 2012 and December 2015 were selected.

MAIN OUTCOME MEASURES

The primary outcomes measured were readmission within 30 days of discharge and the variables associated with readmission, categorized into patient factors, perioperative factors, and postoperative factors.

RESULTS

Thirty-one (12.6%) patients were readmitted within 30 days of discharge following index rectal resection. The occurrence of anastomotic leaks, high-output stoma, and surgical site infections was significantly associated with readmission within 30 days (anastomotic leak OR 3.60, p = 0.02; high-output stoma OR 11.04, p = 0.003; surgical site infections OR 13.39, p = 0.01). Surgical site infections and high-output stoma maintained significant association on multivariate analysis (surgical site infections OR 10.02, p = 0.001; high-output stoma OR 9.40, p = 0.02). No significant difference was noted in the median length of stay or frequency of prolonged admissions (greater than 24 days) between readmitted and nonreadmitted patients.

LIMITATIONS

The institutional database omits a number of socioeconomic factors and comorbidities that may influence readmission, limiting our capacity to analyze the relative contribution of these factors to our findings.

CONCLUSIONS

An early postoperative care bundle to detect postoperative complications could prevent some unnecessary inpatient admissions following proctectomy. Key constituents should include early identification and management of stoma-related complications and surgical site infection. See Video Abstract at http://links.lww.com/DCR/A912.

Enhanced recovery versus conventional care in gastric cancer surgery: a meta-analysis of randomized and non-randomized controlled trials

INTRODUCTION

Enhanced recovery after surgery (ERAS) protocols have been successfully integrated into peri-operative management of different cancer surgeries such as colorectal cancer. Their value for gastric cancer surgery, however, remains uncertain.

METHODS

A search for randomized and observational studies comparing ERAS versus conventional care in gastric cancer surgery was performed according to PRISMA guidelines. Random-effects meta-analyses with inverse variance weighting were conducted, and quality of included studies was assessed using the Cochrane risk-of-bias tool and Newcastle-Ottawa scale (PROSPERO: CRD42017080888).

RESULTS

Twenty-three studies involving 2686 patients were included. ERAS was associated with reduced length of hospital stay (WMD-2.47 days, 95% CI - 3.06 to - 1.89, P < 0.00001), time to flatus (WMD-0.70 days, 95% CI - 1.02 to - 0.37, P < 0.0001), and hospitalization costs (WMD-USD$ 4400, 95% CI - USD$ 5580 to - USD$ 3210, P < 0.00001), with consistent results across open and laparoscopic surgery. Postoperative morbidity and 30-day mortality were similar, although a higher rate of readmission was observed in the ERAS group (RR = 1.95, 95% CI 1.03-3.67, P = 0.04). Patients in the ERAS arm had significantly attenuated C-reactive protein levels on days 3/4 and 7, interleukin-6 levels on days 1, and 3/4, and tumor necrosis factor-α levels on days 3/4 postoperatively.

CONCLUSION

Compared to conventional care, ERAS reduces hospital stay, costs, surgical stress response and time to return of gut function, without increasing post-operative morbidity in gastric cancer surgery. However, precaution is necessary to reduce the increased risk of hospital readmission when adopting ERAS.

Readmission After Elective Ileostomy in Colorectal Surgery Is Predictable

Background and Objectives:

Patients who undergo colorectal surgery have high postoperative morbidity, with ileostomates being the most disadvantaged. Recent studies assessing readmission risk factors do not provide a specific prediction model and, if so, do not focus on patients who have had colorectal surgery; thus, the results of these studies have limited applicability to our specialized practice. We wanted to develop a prediction model for readmission within 30 days of discharge after ileostomy creation.

Methods:

Patients who underwent elective ileostomy creation from 2013 to 2016 at the University of Florida were included in this retrospective study. Factors significantly associated with readmission within 30 days after discharge were identified by comparing a cohort that was readmitted within 30 days with one that was not. A practical, predictive model that stratified a patient's risk of readmission after the index procedure was developed.

Results:

A total of 86 iliostomates were included; of those, 22 (26%) were readmitted within 30 days. Factors significantly associated with readmission included preoperative steroid use, history of diabetes, history of depression, lack of a hospital social worker or postoperative ostomy education, and the presence of complications after the index procedure. A model predicting readmission within 30 days of discharge that comprised the first 4 factors was developed, with a sensitivity of 73% and a specificity of 77%.

Conclusion:

Prediction of readmission in patients who undergo ileostomy creation is possible, suggesting interventions addressing predictive factors that may help decrease the readmission rate. Prospective validation of the model in a larger cohort is needed.

Readmissions after colorectal surgery: not all are equal

PURPOSE

This study aims to assess factors associated with preventable readmissions after colorectal resection.

METHODS

All readmissions following colorectal resection from May 2013 to May 2016 at an academic medical center were reviewed. Readmissions that could be prevented were identified. Factors associated with preventable readmission were assessed using logistic regression.

RESULTS

Of 686 patients discharged during the study period, there were 75 patients (11%) with unplanned readmission. Twenty-nine readmissions (39%) were preventable-these readmissions were due to dehydration or acute kidney injury, pain, ostomy complications, and gastrointestinal bleeding. On regression analysis, the strongest preoperative risk factors associated with preventable readmission were urgent or emergent operation (OR 4.0, 95% CI 1.6-9.9), recent myocardial infarction (OR 2.9, 95% CI 1.0-9.0), total or subtotal colectomy (OR 2.8, 95% CI 1.1-7.3), and American Society of Anesthesiologist score ≥ 3 (OR 2.2, 95% CI 1.0-4.7). Intraoperative risk factors associated with preventable readmission included intraoperative stapler complication (OR 24.2, 95% CI 1.5-397). Postoperative risk factors associated with preventable readmission included postoperative arrhythmia (OR 5.6, 95% CI 2.0-16.1), and postoperative anemia (OR 2.6, 95% CI 1.2-5.7). On multivariable analysis while controlling for procedure type, urgent or emergent operation (OR 2.9, 95% CI 1.1-8.2), intraoperative stapler complication (OR 37.5, 95% CI 2.3-627.8), and postoperative arrhythmia (OR 4, 95% CI 1.3-12.8) remained statistically significant.

CONCLUSION

Approximately 40% of readmissions following colorectal surgery are potentially preventable. Since specific patients and factors that are associated with preventable readmission can be identified, resources should be targeted to factors associated with preventable readmissions.

The effect of simethicone on postoperative ileus in patients undergoing colorectal surgery (SPOT), a randomized controlled trial

BACKGROUND

Postoperative ileus is a poorly understood multifactorial outcome following colorectal surgery that presents significant clinical challenges and contributes to increased morbidity, length of stay, and healthcare cost. To date, there are few pharmacological interventions that shorten the duration of postoperative ileus.

OBJECTIVE

This study is the first to evaluate the efficacy of simethicone in treating postoperative ileus symptoms in patients undergoing colorectal surgery.

DESIGN

A multicenter, double-blinded, placebo controlled randomized controlled trial.

SETTINGS

This trial was conducted at two academic tertiary care centres in Ontario, Canada.

PARTICIPANTS

118 patients undergoing colorectal surgery.

INTERVENTIONS

Patients were randomized to receive either a five-day course of oral simethicone (n = 58) or a placebo (n = 60).

MAIN OUTCOME MEASURES

The primary outcome was time to first passage of flatus. Secondary outcomes included time to first bowel movement, postoperative length of stay, and postoperative pain. Statistical analyses were performed on an intention-to-treat basis. Statistical significance set at p = 0.05.

RESULTS

The median time to first passage of flatus in simethicone arm was 25.2 h and 26.7 h in controls (P = 0.98). There were no significant differences in the median time to first bowel movement (simethicone = 41.1 h vs. control = 42.9 h, P = 0.91) or median length of hospital stay (simethicone = 4.5 days vs. control = 4.0 days, P = 0.63).

CONCLUSIONS

This study failed to show a difference in return of gastrointestinal motility in patients receiving simethicone following colorectal surgery. Postoperative ileus remains a significant clinical and economic burden to the healthcare system and further research is needed to identify a reliable and effective method of treatment.

Predictors of 30-Day Hospital Readmission After Posterior Cervical Fusion in 3401 Patients

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

The aim of the study was to determine readmission rates and predictors of readmission after posterior cervical fusion (PCF).

SUMMARY OF BACKGROUND DATA

PCFs are common spinal operations for a variety of spinal disorders including cervical myelopathy, unstable fractures, cervical deformity, and tumors. Data elaborating on risk factors for 30-day readmission are limited.

METHODS

Data were collected from the 2006 to 2013 American College of Surgeons National Surgical Quality Improvement Program database. Predictors of 30-day readmission comprising patient demographics, comorbidities, operative features, and postoperative complications were identified through logistic multivariable regression.

RESULTS

A total of 3401 patients met study criteria. Rate of 30-day readmission was 6.20%. Multilevel fusion was performed in 69.16% of patients. Postoperative infection was the most reason, accounting for 17.06% of all readmissions. Age older than 70 years (odds ratio [OR] = 1.61, P = 0.012), renal failure requiring dialysis (OR = 3.69, P = 0.011), anemia (OR = 1.57, P = 0.006), multilevel fusion (OR = 1.61, P = 0.012), surgical site infections (OR = 20.4, P < 0.001), wound dehiscence (OR = 19.08, P < 0.001), postoperative pneumonia (OR = 2.75, P = 0.01), pulmonary embolism (OR = 15.39, P < 0.001), and progressing renal insufficiency (OR = 10.13, P = 0.061) were significant predictors of hospital readmission.

CONCLUSION

The identified predictors of readmission after PCF can improve patient counseling, identification of high-risk patients, and guide changes in healthcare delivery pathways. Patients with modifiable risk factors such as anemia and kidney failure may benefit from preoperative optimization. In addition, postoperative complications represent a key target for intervention.

LEVEL OF EVIDENCE

3.

Decreasing readmissions by focusing on complications and underlying reasons

BACKGROUND

To analyze demographics and outcomes of patients focusing on 30-day readmission status and identify procedure-specific risk factors.

METHODS

Patients undergoing abdominal colorectal surgery (2011-2013) were identified Demographics and outcomes including in-hospital complications were compared based on readmission status.

RESULTS

A total of 6637 patients were identified with a mean age of 51.2(±17.1) years. Seven hundred and seventy five(11.7%) patients were readmitted at least once within 30-day. The most common index procedures related to readmission were stoma closure (n = 127/775, 16.4%) and total colectomy (n = 105/775, 13.6%). Readmitted patients had longer length of index hospital stay (LOS)(8.2 ± 5.9 vs 7.9 ± 6.9 days,p < 0.001) and operative time(167 ± 104 vs 144 ± 95 min, p < 0.001), higher intraoperative(2% vs 1%,p = 0.04) and in-hospital complication rates(36% vs 28%,p < 0.001). Main reasons for readmissions were gastrointestinal-related causes(n = 222, 29%), small bowel obstruction (n = 133,17%), wound-related complications(n = 108,14%), and dehydration(n = 93,12%). Median readmission LOS was 4(1-71)days and 54%(n = 407) of readmissions occurred within 7 days of discharge.

CONCLUSION

Increased postoperative complications may be the main preventable underlying reason for increased risk of hospital readmission after colorectal surgery. Preventive measures to decrease complications and actions to identify high risk patients for complications would help to reduce readmissions.

Surgical readmissions: results of integrating pre-, peri- and postsurgical care

AIMS

To explore the feasibility of recruiting surgical oncology patients and implementing a surgical integrated discharge (SID) programme led by advanced practice providers (APP).

BACKGROUND

Burden of illness and complexity of treatment regimen makes it challenging for surgical oncology patients to participate in research. Surgical oncology nurses may have the necessary expertise to overcome this problem.

DESIGN

Controlled longitudinal prospective observational study.

METHODS

The SID programme included multidisciplinary care coordination, regular communication among APPs and proactive postdischarge follow-up. Administrative databases were used to identify matching historical controls (n = 113) and evaluate programme outcomes.

RESULTS

Patient enrolment was 84%. The main challenges for the programme implementation included incompatible health information systems among care settings, variation in care processes among hospital units and need for provider behaviour change.

CONCLUSIONS

Most surgical oncology patients are willing to participate in outcomes programmes when contacted by familiar clinical personnel but programme implementation requires leadership support, communication among care teams and training and infrastructure.

Unplanned admission after gastrectomy as a consequence of fast-track surgery: a comparative risk analysis

BACKGROUND

The objectives of this study were to evaluate the incidence of and the risk factors for readmission after gastrectomy. Our hypothesis was that early discharge may be related to an increase in the incidence of readmission.

METHODS

This was a retrospective, single-center, observational study of 1442 patients who underwent gastrectomy for stage I gastric cancer. The main outcome was the incidence of early readmission after gastrectomy, which was defined as an admission within 6 months after the first discharge day. A stepwise logistic regression analysis was conducted to identify the risk factors for readmission after gastrectomy.

RESULTS

The surgical procedures performed were total gastrectomy in 217 patients (15.0 %), distal gastrectomy in 845 patients (58.6 %), pylorus-preserving gastrectomy in 342 patients (23.7 %), and proximal gastrectomy in 37 patients (2.6 %). The median hospital stay was 11 days, and there were 63 readmissions for a total of 56 patients (3.8 %). The main reasons for readmission were poor food intake in 14 patients (22.2 %), anastomotic stricture in nine patients (14.3 %), small bowel obstruction in eight patients (12.7 %), and an abdominal distension in seven patients (11.1 %). Endoscopic balloon dilation was performed for the nine patients with anastomotic stricture, drainage was needed for the four patients with an intra-abdominal abscess, and laparotomy was performed for one patient with adhesion-associated bowel obstruction. The long hospitalization during the primary admission and patients who underwent total gastrectomy were risk factors for readmission.

CONCLUSIONS

Patients with a long hospital stay after gastrectomy are at an increased risk of early readmission, which was likely related to the incidence of severe sequelae specific to gastrectomy.

What Factors Predict Hospital Readmission after Colorectal Surgery?

Readmissions pose a significant hardship for patients and constitute a major quality and financial concern for hospitals. We sought to define risk factors associated with hospital readmission after colorectal surgery at a tertiary care hospital. We evaluated readmission among all patients who underwent a colorectal surgical procedure between July 16, 2007 and June 30, 2011. In a cohort of 4879 operative encounters, 492 (10%) were readmitted to the hospital within 30 days of discharge. Procedures with highest readmissions included stoma creation (22%), ileoanal pouch surgery (22%), and total proctocolectomy (30%). In multivariate analysis, the following variables were associated with risk of readmission: postoperative complication, use of anxiolytics, high comorbidity score, patient setting, alcohol use, and stoma creation. Surgeon of record was not associated with readmission. In conclusion, several patient, procedural, and postoperative factors were associated with an increased risk of readmission. Considerably high rates of readmission were noted after stoma creation, ileoanal pouch procedures, and proctocolectomy. Surgeon of record was not associated with risk of read-mission, indicating little value to this metric as a physician-specific indicator of quality.

Patient and Provider-Identified Factors Contributing to Surgical Readmission After Colorectal Surgery

PURPOSE

Nearly one in seven surgical patients is readmitted to the hospital within 30 days of discharge. Few studies have identified patient-centric factors that raise the risk of both preventable and nonpreventable postoperative readmissions.

MATERIALS AND METHODS

Over 6 months in 2012, 48 colorectal surgical patients were identified on re-admission within 30 days of discharge. We prospectively obtained information on the patient's and primary surgeon's views on factors that contributed to readmission, and compiled data to produce an external list of contributing factors. A standard cost analysis was performed.

RESULTS

48 colorectal surgery patients participated, and 47 were included in this patient-centric evaluation of factors leading to readmission. The three primary readmission diagnoses included dehydration, fever, and ileus or small bowel obstruction. Of all readmissions, 23% were considered to be preventable. 38% of patients had scheduled follow-up appointments that were documented in the medical record at the time of discharge. Providers identified several factors contributing to readmission including difficulty understanding discharge plan, medication management and premature discharge. Per patient, the cost of preventable readmission was $15,366 (±20%; $12,293-$18,439). Total preventable cost was $169,025 (±20%; $135,220-$202,829).

CONCLUSIONS

The ability to obtain an outpatient postoperative appointment and the understanding of their own postoperative care were the most commonly identified barriers. Interventions to help reduce unnecessary readmissions include a standard discharge process and coordinator, and routine (<7 days) postdischarge outpatient appointments. Successful reduction of preventable readmissions would result in approximately $3.6 million in cost savings per 1,000 colorectal readmissions.

A national evaluation of clinical and economic outcomes in open versus laparoscopic colorectal surgery

BACKGROUND

Surgical value is based on optimizing clinical and financial outcomes. The clinical benefits of laparoscopic surgery are well established; however, many patients are still not offered a laparoscopic procedure. Our objective was to compare the modern clinical and financial outcomes of laparoscopic and open colorectal surgery.

METHODS

The Premier Perspective database identified patients undergoing elective colorectal resections from January 1, 2013 to December 31, 2013. Cases were stratified by operative approach into laparoscopic and open cohorts. Groups were controlled on all demographics, diagnosis, procedural, hospital characteristics, surgeon volume, and surgeon specialty and then compared for clinical and financial outcomes. The main outcome measures were length of stay (LOS), complications, readmission rates, and cost by surgical approach.

RESULTS

A total of 6343 patients were matched and analyzed in each cohort. The most common diagnosis was diverticulitis (p = 0.0835) and the most common procedure a sigmoidectomy (p = 0.0962). The LOS was significantly shorter in laparoscopic compared to open (mean 5.78 vs. 7.80 days, p < 0.0001). The laparoscopic group had significantly lower readmission (5.82 vs. 7.68 %, p < 0.0001), complication (32.60 vs. 42.28 %, p < 0.0001), and mortality rates (0.52 vs. 1.28 %, p < 0.0001). The total cost was significantly lower in laparoscopic than in open (mean $17,269 vs. $20,552, p < 0.0001). By category, laparoscopy was significantly more cost-effective for pharmacy (p < 0.0001), room and board (p < 0.0001), recovery room (p = 0.0058), ICU (p < 0.0001), and laboratory and imaging services (both p < 0.0001). Surgical supplies (p < 0.0001), surgery (p < 0.0001), and anesthesia (p = 0.0053) were higher for the laparoscopic group.

CONCLUSIONS

Laparoscopy is more cost-effective and produces better patient outcomes than open colorectal surgery. Minimally invasive colorectal surgery is now the standard that should be offered to patients, providing value to both patient and provider.

Ninety-day readmission after colorectal cancer surgery in a Veterans Affairs cohort

BACKGROUND

Readmissions following colorectal surgery are common. However, there are limited data examining unplanned readmissions (URs) after colorectal cancer (CRC) surgery. The goal of this study was to identify reasons and predictors of UR, and to examine their clinical impact on CRC patients.

METHODS

A retrospective cohort study using a prospective CRC surgery database of patients treated at a VA tertiary referral center was performed (2005-2011). Ninety-day URs were recorded and classified based on reason for readmission. Clinical impact of UR was measured using a validated classification for postoperative complications. Multivariate logistic regression analyses were performed to identify predictors of UR.

RESULTS

487 patients were included; 104 (21%) required UR. Although the majority of UR were due to surgical reasons (n = 72, 69%), medical complications contributed to 25% of all readmission events. Nearly half of UR (n = 44, 40%) had significant clinical implications requiring invasive interventions, intensive care unit stays, or led to death. After multivariate logistic regression, the following independent predictors of UR were identified: African-American race (odds ratio [OR] 0.47 [0.27-0.88]), ostomy creation (OR 2.50 [1.33-4.70]), and any postoperative complication (OR 4.36 [2.48-7.68]).

CONCLUSIONS

Ninety-day URs following colorectal cancer surgery are common, and represent serious events associated with worse outcomes. In addition to postoperative complications, surgical details that can be anticipated (i.e., ileostomy creation) and medical events unrelated to surgery, both contribute as important and potentially preventable reasons for UR. Future studies should focus on developing and examining interventions focused at improving the process of perioperative care for this high-risk population.

A validated, risk assessment tool for predicting readmission after open ventral hernia repair

BACKGROUND/PURPOSE

To present a validated model that reliably predicts unplanned readmission after open ventral hernia repair (open-VHR).

STUDY DESIGN

A total of 17,789 open-VHR patients were identified using the 2011-2012 ACS-NSQIP databases. This cohort was subdivided into 70 and 30% random testing and validation samples, respectively. Thirty-day unplanned readmission was defined as unexpected readmission for a postoperative occurrence related to the open-VHR procedure. Independent predictors of 30-day unplanned readmission were identified using multivariable logistic regression on the testing sample (n = 12,452 patients). Subsequently, the predictors were weighted according to β-coefficients to generate an integer-based Clinical Risk Score (CRS) predictive of readmission, which was validated using receiver operating characteristics (ROC) analysis of the validation sample (n = 5337 patients).

RESULTS

The rate of 30-day unplanned readmission was 4.7%. Independent risk factors included inpatient status at time of open-VHR, operation time, enterolysis, underweight, diabetes, preoperative anemia, length of stay, chronic obstructive pulmonary disease, history of bleeding disorders, hernia with gangrene, and panniculectomy (all P < 0.05). ROC analysis of the validation cohort rendered an area under the curve of 0.71, which demonstrates the accuracy of this prediction model. Predicted incidence within each 5 risk strata was statistically similar to the observed incidence in the validation sample (P = 0.18), further highlighting the accuracy of this model.

CONCLUSION

We present a validated risk stratification tool for unplanned readmissions following open-VHR. Future studies should determine if implementation of our CRS optimizes safety and reduces readmission rates in open-VHR patients.

Timing of discharge: a key to understanding the reason for readmission after colorectal surgery

PURPOSE

There is a growing interest in surgery regarding the balance between appropriate hospital length of stay (LOS) and prevention of unnecessary readmissions. This study examines the relationship between postoperative LOS and unplanned readmission after colorectal resection, exploring whether patients discharged earlier have different readmission risk profiles.

METHODS

Patients undergoing colorectal resection were selected by Common Procedural Terminology (CPT) code from the 2012 ACS National Surgical Quality Improvement Program (NSQIP) database. Patients were stratified by LOS quartile. Kaplan-Meier analysis was used to examine characteristics associated with 30-day unplanned readmission. Factors with a p < 0.1 were included in the Cox proportional hazards model. Subsequently, chi-square analysis compared LOS, patient, and perioperative factors with the primary reason for readmission. Factors with a p < 0.2 were included in a multivariable logistic regression for each readmission reason.

RESULTS

For 33,033 patients undergoing colorectal resection, the overall 30-day unplanned readmission rate was 11 %. After adjusting for patient and perioperative factors, a postoperative LOS ≥8 days was associated with a 55 % increase in the relative hazard of readmission. Patients with a ≤3-day LOS were more likely to be readmitted with ileus/obstruction (odds ratio (OR): 1.8, p = 0.001) and pain (OR: 2.2, p = 0.007). LOS was not significantly associated with readmission for intraabdominal infection or medical complications.

CONCLUSIONS

Patients with longer LOS and complicated hospital courses continue to be high risk post-discharge, while straightforward early discharges have a different readmission risk profile. More targeted readmission prevention strategies are critical to focusing resource utilization for colorectal surgery patients.

Characterizing readmission in ulcerative colitis patients undergoing restorative proctocolectomy

BACKGROUND

Postoperative readmissions increase costs and affect patient quality of life. Ulcerative colitis (UC) patients are at a high risk for hospital readmission following restorative proctocolectomy (RP).

OBJECTIVE

The objective of this study is to characterize UC patients undergoing RP and identify causes and risk factors for readmission.

DESIGN

A retrospective review of a prospectively maintained institutional database was performed. Postoperative readmission rates and reasons for readmission were examined following RP. Univariate and multivariate analyses were performed to evaluate for risk factors associated with readmission.

RESULTS

Of 533 patients who met our inclusion criteria, 18.2 % (n = 97) were readmitted within 30 days while 22.7 % (n = 121) were readmitted within 90 days of stage I of RP. Younger patient age (OR 1.825, 95 % CI 1.139-2.957), laparoscopic approach (OR 1.943, 95 % CI 1.217-3.104), and increased length of initial stay (OR 1.155, 95 % CI 1.090-1.225) were all associated with 30-day readmission. The most common reason for readmission was dehydration/ileus/partial bowel obstruction, with 10 % of patients readmitted for this reason within 30 days.

CONCLUSIONS

Patients undergoing restorative proctocolectomy are at high risk for readmission, particularly following the first stage of the operation. Novel treatment pathways to prevent ileus and dehydration as an outpatient may decrease the rates of readmission following RP.

Fast track for elderly patients: is it feasible for colorectal surgery?

BACKGROUND

Fast-track program has been applied in several surgical fields. However, currently many surgical patients are elderly over 70 years of age, and discussion about the application of such protocols for elderly patients is inadequate.

MATERIALS AND METHODS

The present study was designed to consider the safety and feasibility of application of a fast-track program after colorectal surgery in elderly patients. A total of 76 elderly patients with colorectal cancer who underwent laparoscopic colorectal resection were randomly assigned to receive either the fast-track care program (n = 40) or the conventional perioperative care protocol (control group, n = 36). The fast track protocol included no preoperative mechanical bowel irrigation, immediate oral alimentation and earlier postoperative ambulation exercise. The length of postoperative hospital stay, the length of time to regain bowel function and the rate of postoperative complications were compared between the two groups.

RESULTS

The length of time to regain bowel function, including the passage of flatus [32 (24-40) h vs 42 (32-52) h], and to start a liquid diet (13 [10-16] h v/s 43 [36-50] h) were significantly shorter in patients receiving the fast track care protocol compared with those receiving the conventional care protocol. A shorter duration of postoperative hospital stay was recorded in patients receiving the fast-track program than in those receiving conventional care [6 (5-7) days v/s 9.5 (7-12) days]. A reduced percentage of patients who developed general complications was also observed in the fast-track group (5.0% v/s 18%).

CONCLUSION

Fast-track after laparoscopic colorectal surgery can be safely applied in carefully selected elderly patients older than age 70 years. The fast-track recovery program resulted in a more rapid postoperative recovery, earlier discharge from hospital and fewer general complications compared with a conventional postoperative protocol.

Early unplanned hospital readmission after acute traumatic injury: the experience at a state-designated level-I trauma center

BACKGROUND

There is limited literature on early unplanned hospital readmission after acute traumatic injury, especially at suburban facilities.

METHODS

A retrospective review of the trauma registry at a suburban, state-designated, level-I academic trauma center from July 2009 to June 2012 was performed for all admitted (≥24 hours) adult (age ≥18 years) trauma patients who were discharged alive, including unplanned readmissions within 30 days of discharge.

RESULTS

Of 3,622 admitted adult trauma patients, 6.57% were readmitted at a median of 9 days. Major surgery was required in 15.9% patients on readmission. The mortality rate at readmission was 4.6%. Multiple factors were associated with readmission on univariate analysis; however, on multivariate analysis, only major comorbidities (odds ratio [OR], 1.53), hospital length of stay (OR, 1.01), abdominal Abbreviated Injury Score greater than or equal to 3 (OR, 2.10), and discharge to a skilled nursing facility or subacute facility (OR, 1.56) were significant predictors. Meanwhile, index admission to surgical services was associated with a significantly lower readmission risk (OR, .60).

CONCLUSIONS

Trauma patients are infrequently readmitted. Index admission to a surgical service reduces the risk of readmission. Earlier medical follow-up should be considered.

Identification of process measures to reduce postoperative readmission

BACKGROUND

Readmission rates after intestinal surgery have been notably high, ranging from 10 % for elective surgery to 21 % for urgent/emergent surgery. Other than adherence to established strategies for decreasing individual postoperative complications, there is little guidance available for providers to work toward reducing their postoperative readmission rates.

STUDY DESIGN

Processes of care that may affect postoperative readmissions were identified through a systematic literature review, assessment of existing guidelines, and semi-structured interviews with individuals who have expertise in hospital readmissions and surgical quality improvement. Eleven experts ranked potential process measures for validity on the basis of the RAND/University of California, Los Angeles Appropriateness Methodology.

RESULTS

Of 49 proposed process measures, 34 (69 %) were rated as valid. Of the 34 valid measures, two measures addressed care in the preoperative period. These included evaluation of patient's comorbidities, providing written instruction detailing the anticipated perioperative course, and communication with the patient's referring or primary care doctor. A measure addressing perioperative care stated that institutions should have a standardized perioperative care protocol. Additional measures focused on discharge instructions and communication.

CONCLUSIONS

An expert panel identified several aspects of care that are considered essential to quality patient care and important to reducing postoperative readmissions.

Cost of practice in a tertiary/quaternary referral center: is it sustainable?

BACKGROUND

Third-party payers are moving toward a bundled care payment system. This means that there will need to be a warranty cost of care-where the cost of complexity and complication rates is built into the bundled payment. The theoretical benefit of this system is that providers with lower complication rates will be able to provide care with lower warranty costs and lower overall costs. This may also result in referring riskier patients to tertiary or quaternary referral centers. Unless the payment model truly covers the higher cost of managing such referred cases, the economic risk may be unsustainable for these centers.

METHODS

We took the last seven patients that were referred by other surgeons as "too high risk" for colectomy at other centers. A contribution margin was calculated using standard Medicare reimbursement rates at our institution and cost of care based on our administrative database. We then recalculated a contribution margin assuming a 3 % reduction in payment for a higher than average readmission rate, like that which will take effect in 2014. Finally, we took into account the cost of any readmissions.

RESULTS

Seven patients with diagnosis related group (DRG) 330 were reviewed with an average age of 66.8 ± 16 years, American Society of Anesthesiologists score 2.3 ± 1.0, body mass index 31.6 ± 9.8 kg/m(2) (range 22-51 kg/m(2)). There was a 57 % readmission rate, 29 % reoperation rate, 10.8 ± 7.7 day average initial length of stay with 14 ± 8.6 day average readmission length of stay. Forty-two percent were discharged to a location other than home. Seventy-one percent of these patients had Medicare insurance. The case mix index was 2.45. Average reimbursement for DRG 330 was $17,084 (based on Medicare data) for our facility in 2012, with the national average being $12,520. The total contribution margin among all cases collectively was -$19,122 ± 13,285 (average per patient -$2,731, range -$21,905-$12,029). Assuming a 3 % reimbursement reduction made the overall contribution margin -$22,122 ± 13,285 (average -$3,244). Including the cost of readmission in the variable cost made the contribution margin -$115,741 ± 16,023 (average -$16,534).

CONCLUSIONS

Care of high-risk patients at tertiary and quaternary referral centers is a very expensive proposition and can lead to financial ruin under the current reimbursement system.

Predictors of unplanned readmission in patients undergoing lumbar decompression: multi-institutional analysis of 7016 patients

Object

Unplanned hospital readmission represents a large financial burden on the Centers for Medicare and Medicaid Services, commercial insurance payers, hospitals, and individual patients, and is a principal target for cost reduction. A large-scale, multi-institutional study that evaluates risk factors for readmission has not been previously performed in patients undergoing lumbar decompression procedures. The goal of this multicenter retrospective study was to find preoperative, intraoperative, and postoperative predictive factors that result in unplanned readmission (UR) after lumbar decompression surgery.

Methods

The National Surgical Quality Improvement Program (NSQIP) database was retrospectively reviewed to identify all patients who received lumbar decompression procedures in 2011. Risk-adjusted multivariate logistic regression analysis was performed to estimate independent predictors of UR.

Results

The overall rate of UR among patients undergoing lumbar decompression was 4.4%. After multivariate logistic regression analysis, anemia (odds ratio [OR] 1.48), dependent functional status (OR 3.03), total operative duration (OR 1.003), and American Society of Anesthesiologists Physical Status Class 4 (OR 3.61) remained as independent predictors of UR. Postoperative complications that were significantly associated with UR included overall complications (OR 5.18), pulmonary embolism (OR 3.72), and unplanned reoperation (OR 56.91).

Conclusions

There were several risk factors for UR after lumbar spine decompression surgery. Identification of high-risk patients and appropriate allocation of resources to reduce postoperative incidence may reduce the readmission rate.

Predicting the unpredictable: comparing readmitted versus non-readmitted colorectal surgery patients

BACKGROUND

To evaluate readmissions to determine predictors and patterns of readmission.

METHODS

Prospective database review identified readmitted and non-readmitted patients after colorectal surgery. Variables for the index and readmission episode were examined.

RESULTS

A total of 212 readmissions and 3,292 nonreadmissions were analyzed. The majority was elective. Readmitted patients were older (P = .003), had more comorbidities (P < .0001), longer operative times (P < .0001), length of stay (P < .0001), and higher costs (P = .002). At the time of discharge, more readmitted patients required temporary nursing (P < .0001). Independent readmission predictors were higher American Society of Anesthesiologists score, previous abdominal operation, intensive care unit stay, and dysmotility/constipation surgery. At the time of readmission, 29.2% required reoperation. More than half had an open procedure initially (55.2%). After initial open procedures, reoperative time (P = .05) and LOS were longer (P = .028), and more patients required temporary nursing care at the time of discharge (P = .046). Readmissions caused an additional mean hospital cost of $12,670.89.

CONCLUSIONS

Readmitted patients have distinct demographic and outcomes variables. As most were elective cases, stratifying patients preoperatively may enable perioperative planning for this higher risk group.

Identifying causes for high readmission rates after stoma reversal

BACKGROUND

Unplanned readmissions after colorectal surgery impact patient and financial outcomes. Our goal was to identify factors related to readmission in ostomy reversal patients.

METHODS

Review of a prospective department database was performed from 2006 to 2012 to identify patients who underwent an ostomy reversal. Patients were stratified into nonreadmitted and readmitted within 30 days of ostomy reversal. The main outcome measures were predictors of readmission and characteristics of patients readmitted and not readmitted.

RESULTS

A total of 351 ostomy reversals (86 % ileostomy and 14 % colostomy) were analyzed; 44 patients were readmitted (12.5 %). Readmitted and nonreadmitted patients were similar in age, body mass index, gender, comorbidities, indications for the index operation, and time to ostomy reversal. Readmitted patients had longer operative times (p = 0.002) and length of stay (p = 0.001), more intraoperative blood loss (p = 0.003), intraoperative complications (p = 0.005), ICU requirements (p < 0.0001), need for temporary nursing at discharge (p < 0.001), and higher total hospital costs than nonreadmitted patients (p = 0.0162). Longer operative time [odds ratio (OR) 1.006, 95 % confidence interval (CI) 1.001-1.012], intraoperative complications (OR 7.334, 95 % CI 1.23-43.761), ICU stay (OR 1.291, 95 % CI 1.18-1.893), delayed discharge (OR 1.085, 95 % CI 1.003-1.173), and discharge to skilled nursing facility (OR 6.936, 95 % CI 1.531-31.332) were independent predictors of readmission. Ostomy type had no independent effect on readmission.

CONCLUSIONS

Differences in perioperative and outcomes variables exist between readmitted and nonreadmitted patients after ostomy reversal. Longer operative times, intraoperative complications, intensive care unit care, longer length of stay, and skilled nursing at discharge were independently predictive of readmission. These findings can be used to identify high-risk patients prospectively, potentially improving clinical outcomes and healthcare utilization.

Assessing readmission after general, vascular, and thoracic surgery using ACS-NSQIP

OBJECTIVE

In 2012, Medicare began cutting reimbursement for hospitals with high readmission rates. We sought to define the incidence and risk factors associated with readmission after surgery.

METHODS

A total of 230,864 patients discharged after general, upper gastrointestinal (GI), small and large intestine, hepatopancreatobiliary (HPB), vascular, and thoracic surgery were identified using the 2011 American College of Surgeons National Surgical Quality Improvement Program. Readmission rates and patient characteristics were analyzed. A predictive model for readmission was developed among patients with length of stay (LOS) 10 days or fewer and then validated using separate samples.

RESULTS

Median patient age was 56 years; 43% were male, and median American Society of Anesthesiologists (ASA) class was 2 (general surgery: 2; upper GI: 3; small and large intestine: 2; HPB: 3; vascular: 3; thoracic: 3; P < 0.001). The median LOS was 1 day (general surgery: 0; upper GI: 2; small and large intestine: 5; HPB: 6; vascular: 2; thoracic: 4; P < 0.001). Overall 30-day readmission was 7.8% (general surgery: 5.0%; upper GI: 6.9%; small and large intestine: 12.6%; HPB: 15.8%; vascular: 11.9%; thoracic: 11.1%; P < 0.001). Factors strongly associated with readmission included ASA class, albumin less than 3.5, diabetes, inpatient complications, nonelective surgery, discharge to a facility, and the LOS (all P < 0.001). On multivariate analysis, ASA class and the LOS remained most strongly associated with readmission. A simple integer-based score using ASA class and the LOS predicted risk of readmission (area under the receiver operator curve 0.702).

CONCLUSIONS

Readmission among patients with the LOS 10 days or fewer occurs at an incidence of at least 5% to 16% across surgical subspecialties. A scoring system on the basis of ASA class and the LOS may help stratify readmission risk to target interventions.

Risk Factors for Unplanned Hospital Readmission in Otolaryngology Patients

Objective

Identify the risk factors that predict 30-day unplanned readmission in hospitalized otolaryngology patients.

Study Design

Retrospective cohort study.

Setting

Single academic hospital.

Subjects and Methods

All otolaryngology admissions for the 1-year period between January 1, 2011, and December 31, 2011, at an academic hospital were reviewed. Univariate logistic regression and multivariate logistic regression, employing a backward elimination stepwise approach, were performed to identify risk factors for unplanned readmission to the hospital within 30 days of discharge from the otolaryngology service.

Results

There were 1058 patients that accounted for 1271 hospital admissions. The 30-day unplanned readmission rate for patients discharged from the otolaryngology service was 7.3% (93/1271). Significant predictors identified on univariate analysis were used to build a multivariable logistic regression model of risk factors for unplanned readmission. These risk factors included presence of a complication (odds ratio [OR] = 11.60, 95% confidence interval [CI], 7.11-18.93), new total laryngectomy (OR = 4.72, 95% CI, 1.58-14.10), discharge destination of skilled nursing facility (OR = 2.70, 95% CI, 1.21-6.02), severe coronary artery disease or chronic lung disease (OR = 2.33, 95% CI, 1.38-3.93), and current illicit drug use (OR = 2.60, 95% CI, 1.27-5.34). The discriminative ability of the multivariate regression model to predict unplanned readmissions, as measured by the c-statistic, was 0.85.

Conclusion

Otolaryngology patients have unique risk factors that predict unplanned readmission within 30 days of discharge. These data identify specific patient characteristics and care processes that can be targeted with quality improvement interventions to decrease unplanned readmissions.

Unplanned readmissions following surgery for colorectal cancer

SUMMARY Unplanned 30-day readmission rates following surgery for colorectal cancer range from 8.4 to 17.1% and have an obvious impact on patient outcomes and the overall cost of treating this population. Bowel obstruction, ileus, surgical infections, operative complications and dehydration are consistently the primary causes for readmission following colorectal surgery; however, finding a reliable set of predictors among many risk factors for readmissions has proven elusive. With a recent shift in focus towards reducing hospital readmissions, interventions to reduce them must be developed. These should be based on a nuanced understanding of the patient, operative and systematic factors driving readmissions and aim to decrease the patient’s unmet needs and challenges following discharge after surgery for colorectal cancer.

Examining reoperation and readmission after hepatic surgery

BACKGROUND

Although the perioperative mortality from hepatic resection has improved considerably, this procedure is still associated with substantial morbidity and resource use. The goal of this investigation was to characterize the incidence, patterns, and risk factors for early reoperation and readmission after hepatectomy.

STUDY DESIGN

Perioperative outcomes of 1,281 patients undergoing hepatic resection at an academic center from 1996 to 2009 were analyzed. The indications for early reoperation and readmission (90 days) were reviewed. Multivariate logistic regression analysis was performed to determine variables associated with reoperation and readmission. A scoring system was generated to predict the need for readmission after hepatectomy.

RESULTS

Eighty-seven patients (6.8%) required reoperation. The perioperative mortality in patients requiring reoperation was significantly higher than for those not requiring reoperation (23.0% vs 3.4%; p < 0.001). Variables associated with reoperation included male sex, performance of concomitant major nonhepatic procedures, and greater intraoperative blood loss. One hundred and eighty-four patients (14.4%) required readmission. Variables associated with readmission included major hepatectomy, development of major postoperative complications, and index hospitalization >7 days. A Readmission Prediction Score ranging from 0 to 4 was generated and directly correlated with need for readmission.

CONCLUSIONS

In the current era of hepatic surgery, early reoperation and readmission remain relatively frequent. As we care for patients who are increasingly receiving regionalized care far from home, we must be mindful of patients at increased risk for readmission. The development of strategies to minimize the complications that necessitate reoperation and readmission is critical to improving patient care.

Hospital readmission for fluid and electrolyte abnormalities following ileostomy construction: preventable or unpredictable?

BACKGROUND

Ileostomy creation has complications, including rehospitalization for fluid and electrolyte abnormalities. Although studies have identified predictors of this morbidity, readmission rates remain high.

METHODS

The researchers conducted a retrospective chart review of all patients with ileostomy creation at a tertiary institution from January 2008 to June 2011.

RESULTS

One hundred fifty-four patients (154) were included in this study; 71 (46.1 %) were female. Mean age was 49 ± 17.64 (range 16-91), and mean BMI was 26.9 ± 6.44 (range 13-52). The readmission rate for fluid and electrolyte abnormalities was 20.1 % for the study population; of those readmitted for all diagnoses, dehydration accounted for 40.7 % of all readmissions. Cancer was associated with readmission (χ(2) = 4.73, p = 0.03) as was neoadjuvant therapy (χ(2) = 9.20, p = 0.01). After multivariate analysis, only the use of anti-diarrheals and neoadjuvant therapy remained significant. High stoma output, adjuvant treatment, and postoperative complications were not significant.

CONCLUSIONS

Our study found that the use of anti-diarrheals and neoadjuvant therapy for rectal cancer were associated with readmission. Our findings imply that the use of anti-diarrheals may be a marker for patients at risk for fluid and electrolyte abnormalities; these patients should be strictly monitored at home. Our study also suggests consideration of avoidance of ileostomy creation or different discharge criteria for at-risk patients. Prospective studies focused on stoma monitoring after discharge may help reduce rehospitalizations for fluid and electrolyte abnormalities after ileostomy creation.

Discharge within 24 to 72 hours of colorectal surgery is associated with low readmission rates when using Enhanced Recovery Pathways

BACKGROUND

Enhanced Recovery Pathways (ERPs) have demonstrated reduced hospital length of stay and improved outcomes after colorectal surgery. Concerns exist about increases in readmission rates. Laparoscopic colorectal surgery with an ERP can permit earlier discharge without compromising safety or increasing readmission rates.

STUDY DESIGN

A review of a prospective database was performed for major elective colorectal procedures by a single surgeon. All patients followed a standardized ERP and discharge criteria. Patients were categorized by approach and day of discharge (DoD) of ≤ 1, ≤ 2, ≤ 3, ≤ 7, and >7 days. Main outcomes measures were length of stay and 30-day readmission rates in each group.

RESULTS

Eight hundred and six cases (609 laparoscopic, 197 open) were identified during a 64-month period. Mean age was similar for the laparoscopic (59.1 years) and open (58.3 years) groups. Mean overall DoD was at 5 days (± 4.8 days); by approach, the mean laparoscopic DoD was at 3.9 days and open DoD was at 8.4 days. Twenty-nine percent were discharged within 48 hours (38% laparoscopic and 8% open) and 50% were discharged within 72 hours (62% laparoscopic and 19% open). Only 8.9% of all patients (n = 72) were readmitted (7.2% laparoscopic, 14.2% open). The cumulative readmission rate for laparoscopic patients in early DoD groups postoperative days 1, 2, and 3 were 0.2%, 1.6%, and 3.4%, respectively.

CONCLUSIONS

Combining laparoscopy with an ERP optimizes patient care in colorectal surgery. The combination permits early discharge; 38% were discharged within 2 days and 62% within 3 days of surgery, with low readmission rates. These results support that early DoD is possible without compromising patient safety or increasing readmission rates. This might be a marker for low readmission rate, and suggests that readmission rate alone might not be an adequate marker of quality.

Validation of new readmission data in the American College of Surgeons National Surgical Quality Improvement Program

BACKGROUND

Hospital readmissions are gathering increasing attention as a measure of health care quality and as a cost-saving target. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) recently began collecting data related to 30-day postoperative readmissions. Our objectives were to assess the accuracy of the ACS NSQIP readmission variable by comparison with the medical record, and to evaluate the readmission variable against administrative data.

STUDY DESIGN

Readmission data captured in ACS NSQIP at a single academic institution between January and December 2011 were compared with data abstracted from the medical record and administrative data.

RESULTS

Of 1,748 cases captured in ACS NSQIP, 119 (6.8%) had an all-cause readmission event identified, and ACS NSQIP had very high agreement with chart review for identifying all-cause readmission events (κ = 0.98). For 1,110 inpatient cases successfully matched with administrative data, agreement with chart review for identifying all-cause readmissions was also very high (κ = 0.97). For identifying unplanned readmission events, ACS NSQIP had good agreement with chart review (κ = 0.67). Overall, agreement with chart review on cause of readmission was higher for ACS NSQIP (κ = 0.75) than for administrative data (κ = 0.46).

CONCLUSIONS

The ACS NSQIP accurately captured all-cause and unplanned readmission events and had good agreement with the medical record with respect to cause of readmission. Administrative data accurately captured all-cause readmissions, but could not identify unplanned readmissions and less consistently agreed with chart review on cause. The granularity of clinically collected data offers tremendous advantages for directing future quality efforts targeting surgical readmission.