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

Risk factors for unplanned 31-day readmission after surgery for colorectal cancer patients: a meta-analysis

BACKGROUND

The high incidence of unplanned readmissions within 31 days after colorectal cancer surgery remains a significant challenge. However, the identified risk factors for these readmissions are inconsistent across the literature. This study aims to perform a comprehensive meta-analysis to estimate the incidence of unplanned readmissions and systematically identify the factors associated with this risk, providing robust evidence for targeted interventions to reduce readmission rates.

METHODS

This study was conducted in accordance with the PRISMA guidelines. All study steps, including study selection, data extraction, and quality assessment, were independently performed by two authors, with any disagreements resolved through consultation with a third author. A comprehensive search for published studies was conducted across the following databases up to January 2025: VIP Journal Database, Wanfang Data, CNKI, SinoMed, PubMed, Embase, Web of Science, and the Cochrane Library. Statistical analyses were performed using RevMan 5.4 and Stata 17.0, with a p-value of less than 0.05 considered statistically significant.

RESULTS

This meta-analysis identified several significant risk factors associated with unplanned readmission during this period (P < 0.05), including age (OR = 1.13), postoperative complications (OR = 1.87), tumor stage (TNM ≥ III) (OR = 2.01), tumor site in the rectum (OR = 1.64), stoma creation (OR = 1.70), Complicated diabetes (OR = 1.56), Charlson Comorbidity Index (CCI) (OR = 1.27), blood transfusion (BT) (OR = 1.24), Length of hospital stay (LOS) (OR = 1.65), and surgical approach (OR = 1.22). Notably, female (OR = 0.85) was identified as a protective factor against unplanned readmission.

CONCLUSION

The unplanned readmission rate within 31 days after colorectal cancer surgery was 11.73%. Current evidence suggests that age, postoperative complications, TNM ≥ III, tumor site in the rectum, stoma creation, complicated diabetes, Charlson Comorbidity Index (CCI), blood transfusion (BT), length of hospital stay (LOS), and surgical approach are significant risk factors for unplanned readmission. Conversely, female has been identified as a protective factor. To mitigate these risks and reduce readmission rates, healthcare professionals should implement targeted educational and clinical interventions.

Analyzing postoperative complications in colorectal cancer surgery: a systematic review enhanced by artificial intelligence

INTRODUCTION

Colorectal cancer stands as a predominant cause of cancer-related mortality worldwide. Despite progressive strides in surgical methodologies, the specter of postoperative complications is very large, significantly impacting both morbidity and mortality rates. This review aims to meticulously examine existing scholarly works to gauge the prevalence, severity, and therapeutic approaches to postoperative complications arising from colorectal cancer surgeries.

METHODS

Employing a systematic approach, this study reviewed 135 peer-reviewed publications from the period of 2000-2023. The corpus was organized into categories reflective of the postoperative complications discussed: anastomotic leakage, port-site metastases, small bowel adhesions and obstructions, thrombosis, ileus, postoperative infections, urinary dysfunctions, and cardiovascular dysfunctions. Advanced artificial intelligence tools were leveraged for in-depth literature searches and semantic analyses to pinpoint research lacunae.

RESULTS

The analysis revealed that anastomotic leakage and postoperative infections garnered the majority of academic focus, representing 35% and 25% of the studies, respectively. Conversely, port-site metastases and cardiovascular dysfunctions were less frequently examined, accounting for merely 5% and 3% of the literature. The reviewed studies indicate a disparity in the reported prevalence rates of each complication, oscillating between 3% and 20%. Furthermore, the review identified a dearth of evidence-based management protocols, underscored by a pronounced heterogeneity in treatment guidelines.

CONCLUSIONS

The literature is replete with analyses on anastomotic leakage and postoperative infections; however, there exists a glaring scarcity of exhaustive research on other postoperative complications. This review emphasizes the pressing need for uniform treatment guidelines and spotlights areas in dire need of further research, aiming at the comprehensive enhancement of patient outcomes following colorectal cancer surgery.

Developing and validation of a smartphone app for post-discharge early follow-up after colorectal cancer surgeries

Background

Colorectal surgeries are complex procedures associated with high rates of complications and hospital readmission.

Objective

This study aimed to develop an electronic post-discharge follow-up plan to remotely monitor patients' symptoms in the postoperative period of colorectal surgeries and evaluate the outcomes of emergency department visits and the rate of severe complications within 15 days after hospital discharge.

Design

We developed a digital tool capable of remotely assessing symptoms that could indicate complications related to colorectal surgical procedures and directing early management. This project was divided into two stages. The first was platform development with an algorithm for identifying symptoms and directing conduct, and the second was clinical validation of the program and evaluation of patient's experience. Patients who underwent elective oncological colorectal surgery were invited to participate in this study. We used commercial software (CleverCare) that was adjusted according to the clinical algorithm developed in this study, predicting complications and directing conduct with minimal human intervention using a Chatbot with Natural Language Processing (NPL) and artificial intelligence.

Results

We planned three Interim Analyses to evaluate the outcomes of complications, referrals to the Emergency Department (ED), ED visits, adherence, and patient satisfaction. After each analysis, specialists validated the changes before implementation. A total of 92 eligible participants agreed to participate in the study. The ability to detect complications increased with each adjustment phase, and after the third and last phase, the digital solution identified 3(4.8%) real complications, with a sensitivity of 75%, specificity of 83%, accuracy of 82%, positive predictive value of 27%, and negative predictive value of 97%. Complete adherence to the monitoring program was 83.7% with an NPS score of 94 in the last evaluation phase.

Conclusion

The digital platform is safe with high adherence rates and good patient acceptance.

Safety and Feasibility of ≤24-h Short-Stay Right Colectomies for Primary Colon Cancer

BACKGROUND

Hospital length of stay (LOS) has been used as a surgical quality metric. This study seeks to determine the safety and feasibility of right colectomy as a ≤24-h short-stay procedure for colon cancer patients.

METHODS

This was a retrospective cohort study using the ACS-NSQIP database and its Procedure Targeted Colectomy database (2012-2020). Adult patients with colon cancer who underwent right colectomies were identified. Patients were categorized into LOS  ≤1 day (≤24-h short-stay), LOS 2-4 days, LOS 5-6 days, and LOS ≥7 days groups. Primary outcomes were 30-day overall and serious morbidity. Secondary outcomes were 30-day mortality, readmission, and anastomotic leak. The association between LOS and overall and serious morbidity was assessed using multivariable logistic regression.

RESULTS

19,401 adult patients were identified, with 371 patients (1.9%) undergoing short-stay right colectomies. Patients undergoing short-stay surgery were generally younger with fewer comorbidities. Overall morbidity for the short-stay group was 6.5%, compared to 11.3%, 23.4%, and 42.0% for LOS 2-4 days, LOS 5-6 days, and LOS ≥7 days groups, respectively (p < 0.001). There were no differences in anastomotic leak, mortality, and readmission rates in the short-stay group compared to patients with LOS 2-4 days. Patients with LOS 2-4 days had increased odds of overall morbidity (OR 1.71, 95% CI 1.10-2.65, p = 0.016) compared to patients with short-stay but no differences in odds of serious morbidity (OR 1.20, 95% CI 0.61-2.36, p = 0.590).

CONCLUSIONS

≤24-h short-stay right colectomy is safe and feasible for a highly-select group of colon cancer patients. Optimizing patients preoperatively and implementing targeted readmission prevention strategies may aid patient selection.

Children Undergoing Laryngeal Surgery for Obstructive Sleep Apnea: NSQIP Analysis of Length of Stay, Readmissions, and Reoperations

OBJECTIVE

No national study to date has specifically evaluated the predictive variables associated with extended hospitalization and other postoperative complications following laryngeal surgery in children with obstructive sleep apnea (OSA). The goals of this study were to identify perioperative risk factors and provide a descriptive analysis of surgical outcomes in these children using the National Surgical Quality Improvement Program-Pediatrics (NSQIP-P) database.

METHODS

Patients aged 0 to 18 years who underwent laryngeal surgery with a postoperative diagnosis of OSA were queried via the 2014-2018 NSQIP-P database using Current Procedural Terminology code 31541. Variables collected included age, sex, ethnicity, body mass index (BMI), medical comorbidities, American Society of Anesthesiologists (ASA) physical classification, operative time, and concurrent procedures. Endpoints of interest were length of stay, unplanned reoperation, readmission, reintubation, and postoperative complications. Univariate and multivariate linear regression analyses were performed.

RESULTS

A total of 181 cases were identified (57.5% male and 42.5% female, mean age 4.36 years, range 14 days-17.7 years). Body mass index (P = .015, OR = 0.96), structural CNS abnormality (P = .034, OR = 1.95), preoperative oxygen supplementation (P = .043, OR = 1.28), operative time (P = .019, OR = 1.84, 95% CI = 1.28-2.54), and concurrent procedure (P < .001, OR = 2.21) were all independently associated with LOS. Postoperative complications had no significantly associated variables, with an overall low incidence of readmission (5.0%), reoperation (1.7%), and reintubation (1.1%).

CONCLUSION

In this data set, children with OSA undergoing laryngeal surgery experienced minimal postoperative complications. Recognition of the factors associated with increased LOS could lead to improvement in the quality of care for children with OSA.

Optimizing discharge decision-making in colorectal surgery: a prospective cohort study of discharge practices in a recently implemented enhanced recovery pathway

AIM

The objectives of this project were (1) to compare time to readiness for discharge by set criteria and actual length of stay (LOS) in a newly implemented colorectal enhanced recovery pathway and (2) to identify reasons for delayed hospital discharge.

METHOD

We conducted a prospective cohort study of 73 adult patients (age 67 ± 14 years, 56% men, 51% laparoscopic, 13% stoma creation) undergoing elective colorectal surgery in a university hospital with a recently implemented recovery pathway (<2 years). Time to readiness for discharge (oral intake, flatus, pain control, ability to walk, and no complications) was compared to actual LOS using a correlation-adjusted log-rank test. The treating team was interviewed, and thematic analysis was used to identify reasons for patients remaining in hospital after discharge criteria (DC) were achieved.

RESULTS

Median LOS was 6 (4-8) days and median time to readiness for discharge was 5 (3-8) days (P < 0.001). Twenty-eight patients (37%) remained in hospital after DC were achieved. Although some delayed discharges were medically justified (e.g., workup [13%] or treatment of complications not captured by DC [2.6%]), unnecessary hospital stays were common (e.g., perceived need for observation [16%], or patients not willing to be discharged [11%]).

CONCLUSIONS

Unnecessary hospital stays were common within a recently implemented enhanced recovery pathway and represent a target for quality improvement. Efforts should be directed at optimizing patient education regarding discharge expectations, early consultation of the discharge planning team and improving discharge decision-making using standardized DC.

Wearable technology and the association of perioperative activity level with 30-day readmission among patients undergoing major colorectal surgery

BACKGROUND

The proliferation of wearable technology presents a novel opportunity for perioperative activity monitoring; however, the association between perioperative activity level and readmission remains underexplored. This study sought to determine whether physical activity data captured by wearable technology before and after colorectal surgery can be used to predict 30-day readmission.

METHODS

In this prospective observational cohort study of adults undergoing elective major colorectal surgery (January 2018 to February 2019) at a single institution, participants wore an activity monitor 30 days before and after surgery. The primary outcome was return to baseline percentage, defined as step count on the day before discharge as a percentage of mean preoperative daily step count, among readmitted and non-readmitted patients.

RESULTS

94 patients had sufficient data available for analysis, of which 16 patients (17.0%) were readmitted within 30 days following discharge. Readmitted patients achieved a lower return to baseline percentage compared to patients who were not readmitted (median 15.1% vs. 31.8%; P = 0.004). On multivariable analysis adjusting for readmission risk and hospital length of stay, an absolute increase of 10% in return to baseline percentage was associated with a 40% decreased risk of 30-day readmission (odds ratio 0.60; P = 0.02). Analysis of the receiver operating characteristic curve identified 28.9% as an optimal return to baseline percent threshold for predicting readmission.

CONCLUSIONS

Achieving a higher percentage of an individual's preoperative baseline activity level on the day prior to discharge after major colorectal surgery is associated with decreased risk of 30-day hospital readmission.

Feasibility assessment of outpatient colorectal resections at a tertiary referral center

PURPOSE

Enhanced Recovery After Surgery (ERAS) protocols, particularly when paired with advanced laparoscopy, have reduced recovery time following colorectal procedures. The aim of this study was to determine if length of stay (LOS) could be reduced to an overnight observation stay (< 24 h) with comparable perioperative morbidity. The secondary aim was to establish predictive factors contributing to early discharge.

METHODS

This is a retrospective cohort study of all colectomies at a tertiary care center between January 2016 and January 2019. Inclusion criteria included all colorectal resections with varying surgical approaches. Patients underwent a standardized ERAS protocol. A logistical regression model was conducted for predictive factors.

RESULTS

Three hundred sixty patients were included (55.3% female). Of these, 78 (21.7%) patients were discharged within < 24 h and 112 (31.1%) were discharged within 24-48 h. The remainder comprised the > 48 h group. Age differed significantly between the < 24 h and 24-48 h groups (p < 0.0001). Patients discharged within 24 h were younger (59.4 ± 12.3 years), had a lower CCI score (3.1; p = 0.0026), and lower ASA class (p < 0.0001). Emergency department visits (p = 0.3329) and readmissions (p = 0.6453) prior to POD 30 remained comparable among all groups. Younger age, low ASA, and minimally invasive surgical approach all contributed to ultra-fast discharge.

CONCLUSION

ERAS protocols may allow for discharge within 24 h following a major colorectal resection, all with low perioperative morbidity and mortality. The predictive factors for discharge within 24 h include a low ASA (I or II), and a minimally invasive surgical approach.

Not All Discharge Settings Are Created Equal: Thirty-Day Readmission Risk after Elective Colorectal Surgery

BACKGROUND

Discharge to nonhome settings after colorectal resection may increase risk of hospital readmission.

OBJECTIVE

The purpose of this study was to determine the impact of various discharge dispositions on 30-day readmission after adjusting for confounding demographic and clinical factors.

DESIGN

This was a retrospective cohort study.

SETTINGS

Data were obtained from the University HealthSystem Consortium (2011-2015).

PATIENTS

Adults who underwent elective colorectal resection were included.

MAIN OUTCOME MEASURES

Thirty-day hospital readmission risk was measured.

RESULTS

The mean age of the study population (n = 97,455) was 58 years; half were men and 78% were white. Seventy percent were discharged home routinely (home without service), 24% to home with organized health services, 5% to skilled nursing facility, 1% to rehabilitation facility, and <1% to long-term care hospital. Overall rate of readmission was 12%; 9% from home without service, 16% from home with organized home health services, 19% from skilled nursing facility, 34% from rehabilitation facility, and 22% from long-term care hospital (p < 0.001). Patients with an intensive care unit stay, more postoperative complications, and longer hospitalization stay were more likely to be discharged to home with organized home health services or to a facility (p < 0.001). Discharge to home with organized home health services, skilled nursing facility, or rehabilitation facility increased multivariable-adjusted readmission risk by 30% (OR = 1.3 (95% CI, 1.3-1.6)), 60% (OR = 1.6 (95% CI, 1.5-1.8)), or 200% (OR = 3.0 (95% CI, 2.5-3.6)). Discharge to long-term care hospital was not associated with higher adjusted readmission risk (OR = 1.2 (95% CI, 0.9-1.6)), despite this group having the highest comorbidity and postoperative complications. Among patients readmitted within 30 days, median time to readmission was significantly different among home without service (n = 7), home with organized home health services (n = 8), skilled nursing facility (n = 8), rehabilitation facility (n = 9), and long-term care hospital (n = 12; p < 0.001).

LIMITATIONS

This study was limited by its retrospective nature.

CONCLUSIONS

Discharge to home with organized home health services, skilled nursing facility, or rehabilitation facility, but not long-term care hospital, is associated with increased adjusted risk of readmission compared with routine home discharge. Potential targets to decrease readmission include improving transition of care at discharge, improving quality of care after discharge, and improving facility resources. See Video Abstract at http://links.lww.com/DCR/B272.

NO TODAS LAS CONFIGURACIONES DE ALTA SON IGUALES

RIESGOS DE READMISIÓN A 30 DÍAS DESPUÉS DE CIRUGÍA COLORRECTAL ELECTIVA: El alta hospitalaria hacia el domicilio luego de una resección colorrectal puede aumentar el riesgo de readmisión.Determinar el impacto de varias configuraciones diferentes de alta en la readmisión a 30 días luego de ajustar factores demográficos y clínicos.Estudio de cohortes retrospectivo.Los datos se obtuvieron del Consorcio del Sistema de Salud Universitaria (2011-2015).Todos aquellos adultos que se sometieron a una resección colorrectal electiva.Los riesgos de readmisión hospitalaria a 30 días.La edad media de la población estudiada (n = 97,455) fué de 58 años; la mitad eran hombres y un 78% eran blancos. El 70% fueron dados de alta de manera rutinaria (a domicilio sin servicios complementarios), 24% alta a domicilio con servicios de salud organizados, 5% alta hacia un centro con cuidados de enfermería especializada, 1% alta hacia un centro de rehabilitación y <1% alta hacia un hospital con atención a largo plazo. La tasa global de readmisión fué del 12%; nueve por ciento desde domicilios sin servicios complementarios, 16% desde domicilios con servicios de salud organizados, 19% desde un centro de enfermería especializada, 34% desde el centro de rehabilitación y 22% desde un hospital con atención a largo plazo (p <0.001). Los pacientes con estadías en Unidad de Cuidados Intensivos, con más complicaciones postoperatorias y con una hospitalización prolongada tenían más probabilidades de ser dados de alta hacia un domicilio con servicios de salud organizados o hacia un centro de rehabilitación (p <0,001). El alta hospitalaria con servicios organizados de atención médica domiciliaria, centros de enfermería especializada o centros de rehabilitación aumentaron el riesgo de readmisión ajustada de múltiples variables en un 30% (OR 1.3, IC 95% 1.3-1.6), 60% (OR 1.6, IC 95% 1.5-1.8), o 200% (OR 3.0, IC 95% 2.5-3.6), respectivamente. El alta hospitalaria a largo plazo no fué asociada con un mayor riesgo de readmisión ajustada (OR 1.2, IC 95% 0.9-1.6), no obstante que este grupo fué el que tuvo las mayores comorbilidades y complicaciones postoperatorias. Entre los pacientes readmitidos dentro de los 30 días, la mediana del tiempo hasta el reingreso fue significativamente diferente entre el domicilio sin servicios complementarios (7), domicilio con servicios de salud organizados (8), el centro de cuidados de enfermería especializada (8), centros de rehabilitación (9) y hospitales con atención a largo plazo (12) (p <0,001).Naturaleza retrospectiva del presente estudio.El alta hospitalaria con servicios de salud domiciliarios organizados, hacia centros de enfermería especializada o hacia centros de rehabilitación se asocian con un mayor riesgo ajustado de readmisión en comparación con el alta domiciliaria de rutina y los hospitales con atención a largo plazo. Los objetivos potenciales para disminuir la readmisión incluyen mejorar la transición de la atención al momento del alta, mejorar la calidad de la atención después del alta y mejorar las diferentes facilidades para los pacientes. Consulte Video Resumen en http://links.lww.com/DCR/B272.

Feasibility of perioperative volatile organic compound breath testing for prediction of paralytic ileus following laparoscopic colorectal resection

BACKGROUND

Despite implementation of enhanced recovery after surgery (ERAS) and laparoscopic techniques, postoperative ileus (POI) remains frequent after colorectal surgery, impacting the patient, their recovery and health-care resources. Presently there are no tests that reliably predict or enable early POI diagnosis. Volatile organic compounds (VC) are products of human and microbiota cellular metabolism and we hypothesised that a detectable alteration occurs in POI.

METHOD

This was a prospective observational study of patients undergoing laparoscopic colorectal resection within an established ERAS programme. Standardized end-expiratory breath sampling was performed on the morning of surgery and on the first three postoperative mornings. The concentrations of VCs commonly found in intestinal gas were analysed using selected ion flow tube mass spectrometry and GastroCH₄ ECK®. Feasibility data, bowel preparation, postoperative oral intake, POI and 30-day morbidity were recorded.

RESULTS

Of the 75 potentially eligible patients, 58 (77%) agreed to participate. Per-protocol breath sampling was successfully completed in 94%. There were no analytical failures. Baseline and postoperative concentrations of VCs were broadly comparable and were not altered by bowel preparation or postoperative oral intake. POI developed in 14 (29%) patients. Preoperative ammonia concentration was higher in patients who developed POI [830 parts per billion (ppb) vs 510 ppb, P = 0.027]. There was an increase in the concentration of acetic acid detected on day 2 in patients who developed POI (99 ppb vs 171 ppb, P = 0.021).

CONCLUSION

Repeated VC breath sampling and analysis is feasible in the perioperative setting. An elevated ammonia concentration on the morning of surgery may be a potential predictor of POI.

Readmission Adversely Affects Survival in Surgical Rectal Cancer Patients

BACKGROUND

Readmission has received attention as a potential healthcare quality metric. No studies have investigated the relationship between readmission and survival in patients undergoing rectal cancer surgery. The aims of this study were to identify factors associated with 30-day readmission after rectal cancer surgery and to determine the impact of readmission on overall survival (OS).

METHODS

Patients who underwent surgical treatment for rectal/rectosigmoid adenocarcinoma stages I-IV were identified using the National Cancer Database (2004-2014). Multivariable logistic regression was used to identify factors for readmission. 2:1 nearest neighbor caliper matching without replacement was used to ensure similarity of patients being compared. Survival analyses were performed using Kaplan-Meier method along with log-rank test and Cox proportional hazards model.

RESULTS

Of 110,167 patients, 7045 (6.39%) were readmitted. Factors associated with readmission included higher Charlson comorbidity score, non-private or no insurance, procedure type, hospitals in the Northeast, South, and Midwest regions, and prolonged length of stay. Within the matched cohort (13,756 non-readmitted and 6878 readmitted), readmitted patients had worse 5- and 10-year OS regardless of cancer stage (p < 0.001) and procedure type. Five- and 10-year OS were 58.98% and 41.01% for readmitted patients, 64.96% and 43.50% for non-readmitted patients. Readmitted patients had shorter OS by 13.14 months and increased risk of mortality (HR 1.20, 95% CI 1.15-1.25, p < 0.001).

CONCLUSIONS

Thirty-day readmission after rectal cancer surgery is associated with decreased OS. Efforts to reduce readmissions should be considered to advance cancer care and enhance the potential for improved patient survival.

Predictors of short-term readmission after beyond total mesorectal excision for primary locally advanced and recurrent rectal cancer

Unplanned readmissions heavily affect the cost of health care and are used as an indicator of performance. No clear data are available regarding beyond-total mesorectal excision (bTME) procedure. Aim of the study is to identify patient-related and surgery-related factors influencing the 30-day readmissions after bTME. Retrospective data were collected from 220 patients who underwent bTME procedures at single centre between 2006 and 2016. Patient-related and operative factors were assessed, including body mass index (BMI), age, gender, American Society of Anaesthesiologists' (ASA) score, preoperative stage, neo-adjuvant therapy, primary tumour vs recurrence, the extent of surgery. The readmission rate was 8.18%. No statistically significant association was found with BMI, ASA score, length of stay and stay in the intensive care unit, primary vs recurrent tumour or blood transfusions. Not quite statistically significant was the association with pelvic side wall dissection (OR 3.32, p = 0.054). Statistically significant factors included preoperative stage > IIIb (OR: 4.77, p = 0.002), neo-adjuvant therapy (OR: 0.13, p = 0.0006), age over 65 years (OR: 5.96, p = 0.0005), any re-intervention during the first admission (OR: 7.4, p = 0.0001), and any post-operative complication (OR: 9.01, p = 0.004). The readmission rate after beyond-TME procedure is influenced by patient-related factors as well as post-operative morbidity.

Sustained positive impact of ACS-NSQIP program on outcomes after colorectal surgery over the last decade

BACKGROUND

We evaluate trends in outcomes after colorectal resection over the decade of the introduction of ACS-NSQIP as well as of targeted-colectomy information.

STUDY DESIGN

From 2007 to 2016, patients undergoing non-emergent colorectal procedures were included. Demographics, operative complexity (American Society of Anesthesiologists and wound classes); complications, early (<5 days) discharge and mortality were plotted over years. Outcomes after introduction of colectomy-targeted datasets (2013-2016) were compared to those prior (2007-2012). Multivariable analyses were performed to evaluate the impact of colectomy-targeted data on outcomes.

RESULTS

Of 310,632 included procedures, 131,122(42.2%) and 179,510(57.8%) were performed before and after the introduction of colectomy-targeted variables respectively. Most complications including surgical site and urinary tract infections, sepsis, septic shock, venous thromboembolism, respiratory complications, reoperation and mortality reduced over time with increased early discharge. On multivariable analysis, introduction of colectomy-targeted data was associated with lower surgical site (OR = 0.78,95%CI = [0.77-0.80]); systemic (OR = 0.94,95%CI = [0.91-0.98]) and urinary tract (OR = 0.70,95%CI = [0.67-0.74]) infections; reoperation (OR = 0.88,95%CI = [0.85-0.91]) and early discharge (OR = 1.60,95%CI = [1.57-1.63]).

CONCLUSION

Over its first decade of introduction, ACS-NSQIP has been associated with improved outcomes after colorectal surgery. The introduction of colectomy-targeted data has further improved outcomes.

Impact of the "Weekend Effect" for Hospital Discharges on Readmissions After Elective Colectomy

BACKGROUND

Hospital readmissions after elective colectomy are costly and potentially preventable. It is unknown whether hospital discharge on a weekend impacts readmission risk.

OBJECTIVE

This study aimed to use a national database to determine whether discharge on a weekend versus weekday impacts the risk of readmission, and to determine what discharge-related factors impact this risk.

DESIGN

This investigation is a retrospective cohort study.

SETTINGS

Data were derived from the University HealthSystem Consortium, PATIENTS:: Adults who underwent elective colectomy from 2011 to 2015 were included.

MAIN OUTCOME MEASURES

The primary outcome measured was the 30-day hospital readmission rate.

RESULTS

Of the 76,031 patients who survived the index hospitalization, the mean age of the study population was 58 years; half were men and more than 75% were white. Overall, 20,829 (27%) were discharged on the weekend, and the remaining 55,202 (73%) were discharged on weekdays. The overall 30-day readmission rate was 10.5%; 8.9% for those discharged on the weekend vs 11.1% for those discharged during the weekday (unadjusted OR, 0.78; 95% CI, 0.74-0.83). The adjusted readmission risk was lower for patients discharged home without services (routine, without organized home health service) on a weekend compared with on a weekday (adjusted OR, 0.87; 95% CI, 0.81-0.93; readmission rates, 7.4% vs 8.9%, p < 0.001); however, the combination of weekend discharge and the need for home services increased readmission risk (adjusted OR, 1.39; 95% CI, 1.25-1.55; readmission rate, 16.2% vs 8.9%, p < 0.001). Although patients discharged to rehabilitation and skilled nursing facilities were at an increased risk of readmission compared with those discharged to home, there was no additive increase in risk of readmission for weekend discharge.

LIMITATIONS

Data did not capture readmission beyond 30 days or to nonindex hospitals.

CONCLUSIONS

Patients discharged on a weekend following elective colectomy were at increased risk of readmission compared with patients discharged on a weekday if they required organized home health services. Further prospective studies are needed to identify areas of intervention to improve the discharge infrastructure. See Video Abstract at http://links.lww.com/DCR/A799.

Risk factors for 30-day hospital readmission after radical gastrectomy: a single-center retrospective study

BACKGROUND

Hospital readmission is gathering greater attention as a measure of health care quality. The introduction of fast-track surgery has led to shorter lengths of hospitalization without increasing the risk of postoperative complications and readmission. The collection of comprehensive readmission data is essential for the further improvement of patient care. The aim of the present study is to evaluate the risk factors for readmission within 30 days of discharge after gastrectomy.

METHODS

A total of 1929 patients who underwent radical gastrectomy at Shizuoka Cancer Center were included in this study. A risk analysis with a stepwise logistic regression model was conducted to identify the risk factors for 30-day hospital readmission.

RESULTS

The 30-day readmission rate was 2.70%. Common causes of readmission were an intolerance of oral intake and the presence of an intra-abdominal abscess. The C reactive protein (CRP) level on postoperative day (POD) 3 was significantly higher in the readmitted group; however, the other surgical outcomes, including the incidence of postoperative complications, did not differ to a statistically significant extent. The stepwise logistic regression analysis revealed that CRP on POD3 ≥ 12 mg/dl [odds ratio (OR) 2.08, 95% confidence interval (CI) 1.09-3.95, p = 0.025], laparoscopic surgery (OR 2.25, 95% CI 1.17-4.31, p = 0.015), and TG (OR 2.23, 95% CI 1.17-4.78, p = 0.023) were found to be independent risk factors for readmission.

CONCLUSIONS

CRP on POD3 ≥ 12 mg/dl, laparoscopic surgery, and TG were identified as independent risk factors for readmission.

Prophylactic closed-incision negative-pressure wound therapy is associated with decreased surgical site infection in high-risk colorectal surgery laparotomy wounds

AIM

Surgical site infection in colorectal surgery is associated with significant healthcare costs, which may be reduced by using a closed-incision negative-pressure therapy device. The aim of this study was to assess the impact of closed-incision negative-pressure therapy on the incidence of surgical site infection.

METHOD

In this retrospective cohort study we evaluated all patients who had undergone high-risk open colorectal surgery at a single tertiary care centre from 2012 to 2016. We compared the incidence of surgical site infection between those receiving standard postoperative wound care between 2012 and 2014 and those receiving closed-incision negative-pressure therapy via a customizable device (Prevena Incision Management System, KCI, an Acelity company, San Antonio, Texas, USA) between 2014 and 2016. A validated surgical site infection risk score was used to create a 1:1 matched cohort subset.

RESULTS

Negative pressure therapy was used in 77 patients and compared with 238 controls. Negative pressure patients were more likely to have a stoma (92% vs 48%, P < 0.01) and to be smokers (33% vs 15%, P < 0.01). Surgical site infection was higher in control patients (15%, n = 35/238) compared with negative pressure patients (7%, n = 5/77) (P = 0.05). On regression analysis, negative pressure therapy was associated with decreased surgical site infection (OR 0.27; 95% CI 0.09-0.78). These differences persisted in the matched analysis.

CONCLUSION

Negative pressure therapy was associated with decreased surgical site infection. Negative pressure therapy offers significant potential for quality improvement.

Predicting the Risk of Readmission From Dehydration After Ileostomy Formation: The Dehydration Readmission After Ileostomy Prediction Score

BACKGROUND

All-cause readmission rates in patients undergoing ileostomy formation are as high as 20% to 30%. Dehydration is a leading cause. No predictive model for dehydration readmission has been described.

OBJECTIVE

The purpose of this study was to develop and validate the Dehydration Readmission After Ileostomy Prediction scoring system to predict the risk of readmission for dehydration after ileostomy formation.

DESIGN

Patients who underwent ileostomy formation were identified using the American College of Surgeons National Surgical Quality Improvement Program data set (2012-2015). Predictors for dehydration were identified using multivariable logistic regression analysis and translated into a point scoring system based on corresponding β-coefficients using 2012-2014 data (derivation). Model discrimination was assessed with receiver operating characteristic curves using 2015 data (validation).

SETTINGS

This study used the American College of Surgeons National Surgical Quality Improvement Program.

PATIENTS

A total of 8064 (derivation) and 3467 patients (validation) were included from the American College of Surgeons National Surgical Quality Improvement Program.

MAIN OUTCOME MEASURES

Dehydration readmission within 30 days of operation was measured.

RESULTS

A total of 8064 patients were in the derivation sample, with 2.9% (20.1% overall) readmitted for dehydration. Twenty-five variables were queried, and 7 predictors were identified with points assigned: ASA class III (4 points), female sex (5 points), IPAA (4 points), age ≥65 years (5 points), shortened length of stay (5 points), ASA class I to II with IBD (7 points), and hypertension (9 points). A 39-point, 5-tier risk category scoring system was developed. The model performed well in derivation (area under curve = 0.71) and validation samples (area under curve = 0.74) and passed the Hosmer-Lemeshow goodness-of-fit test.

LIMITATIONS

Limitations of this study pertained to those of the American College of Surgeons National Surgical Quality Improvement Program, including a lack of generalizability, lack of ileostomy-specific variables, and inability to capture multiple readmission International Classification of Diseases, 9/10 edition, codes.

CONCLUSIONS

The Dehydration Readmission After Ileostomy Prediction score is a validated scoring system that identifies patients at risk for dehydration readmission after ileostomy formation. It is a specific approach to optimize patient factors, implement interventions, and prevent readmissions. See Video Abstract at http://links.lww.com/DCR/A746.

Patient-Reported Outcomes and Readmission after Ileostomy Creation in Older Adults

Because of the concern about risk of poor outcome, ileostomy creation is sometimes avoided in older adults. We sought to evaluate the effect of a rigorous postoperative pathway and checklist on readmission and self-efficiacy in older surgical patients. After implementing a self-care checklist and standardized care pathway at our institution, we performed a retrospective review of patients between June 2013 and June 2016 and compared characteristics and outcomes for patients aged <65 and ≥65 years. Using logistic regression, we identified independent predictors of readmission. We also conducted a survey of patient self-efficacy after discharge to assess independence. There were 288 younger patients and 72 older patients. The older group had more patients with an American Society of Anesthesiologists >2 (53.0% vs 81.4%, P < 0.01) and were more likely to have had surgery for cancer (22.9% vs 48.5%, P < 0.01). In the multivariable analyses, age was not a predictor of readmission but American Society of Anesthesiologist and length of stay were. In the 57 patients surveyed after discharge, we found that older and younger patients reported similar self-efficacy scores. In our study, older and younger patients have similar rates of readmission and similar ability to independently care for their themselves after ileostomy creation.

Travel distance influences readmissions in colorectal cancer patients-what the primary operative team needs to know

BACKGROUND

Many colorectal cancer patients receive complex surgical care remotely. We hypothesized that their readmission rates would be adversely affected after accounting for differences in travel distance from primary/index hospital and correlate with mortality.

MATERIALS AND METHODS

We identified 48,481 colorectal cancer patients in the Surveillance, Epidemiology and End Results (SEER)-Medicare database. Travel distance was calculated, using Google Maps, and SAS. Multivariate negative binomial regression was used to identify factors associated with readmission rates. Overall survival was analyzed, using Kaplan-Meier and Cox proportional hazard.

RESULTS AND CONCLUSIONS

Thirty-day readmissions occurred in 14.9% of the cohort, 27.5% of which were to a nonindex hospital. In the colon and rectal cancer cohorts, readmissions were 14.5% and 16.5%, respectively. Rectal cancer patients had an increase in readmission by 13% (incidence rate ratios [IRR] 1.13; 95% confidence interval [CI] 1.05-1.21). Factors associated with readmission were male gender, advanced disease, length of stay (LOS), discharge disposition, hospital volume, Charlson score, and poverty level (P < 0.05). Greater distance traveled increased the likelihood of readmission but did not affect mortality. Travel distance influences readmission rates but not mortality. Discharge readiness to decrease readmissions is essential for colorectal cancer patients discharged from index hospitals.

Does hospital readmission following colorectal cancer resection and enhanced recovery after surgery affect long term survival?

AIM

Hospital readmission is undesirable for patients and care providers as this can affect short-term recovery and carries financial consequences. It is unknown if readmission has long-term implications. We aimed to investigate the impact of 30-day readmission on long-term overall survival (OS) following colorectal cancer resection within enhanced recovery after surgery (ERAS) care and explore the reasons for and the severity and details of readmission episodes.

METHOD

A dedicated, prospectively populated database was reviewed. All patients were managed within an established ERAS programme. Five-year OS was calculated using the Kaplan-Meier method. The number, reason for and severity of 30-day readmissions were classified according to the Clavien-Dindo (CD) system, along with total (initial and readmission) length of stay (LoS). Multivariate analysis was used to identify factors predicting readmission.

RESULTS

A total of 1023 consecutive patients underwent colorectal cancer resection between 2002 and 2015. Of these, 166 (16%) were readmitted. Readmission alone did not have a significant impact on 5-year OS (59% vs 70%, P = 0.092), but OS was worse in patients with longer total LoS (20 vs 14 days, P = 0.04). Of the readmissions, 121 (73%) were minor (CD I-II) and 27 (16%) required an intervention of which 16 (10%) were returned to theatre. Gut dysfunction 32 (19%) and wound complications 23 (14%) were the most frequent reasons for readmission. Prolonged initial LoS, rectal cancer and younger age predicted for hospital readmission.

CONCLUSION

Readmission does not have a significant impact on 5-year OS. A broad range of conditions led to readmission, with the majority representing minor complications.

Improving Patient-Centered Transitional Care after Complex Abdominal Surgery

BACKGROUND

Poor-quality transitions of care from hospital to home contribute to high rates of readmission after complex abdominal surgery. The Coordinated Transitional Care (C-TraC) program improved readmission rates in medical patients, but evidence-based surgical transitional care protocols are lacking. This pilot study evaluated the feasibility and preliminary effectiveness of an adapted surgical C-TraC protocol.

STUDY DESIGN

The intervention includes in-person enrollment of patients. Follow-up protocolized phone calls by specially trained surgical C-TraC nurses addressed medication management, clinic appointments, operation-specific concerns, and identification of red-flag symptoms. Enrollment criteria included pancreatectomy, gastrectomy, operative small bowel obstruction or perforation, ostomy, discharge with a drain, in-hospital complication, and clinician discretion. Engaged patients participated in the first phone call, which was within 48 to 72 hours of discharge and continued every 3 to 4 days. Patients completed the program once they and surgical C-TraC nurse agreed that no additional follow-up was needed or the patient was readmitted.

RESULTS

Two hundred and twelve patients were enrolled, October 2015 through April 2016, with a mean age of 56 years (range 19 to 89 years); 33% of patients were 65 years or older. Surgery sites included colon (46%), small bowel (16%), pancreas (12%), multivisceral (9%), liver (4.5%), retroperitoneum/soft tissue (4.5%), gastric (4%), biliary (2%), and appendix (1.5%). Refusal rate was 1% and engagement was 95%. At initial call, 47% of patients had at least 1 medication discrepancy (range 0 to 6). Mean number of calls from provider to patient was 3.2 (range 0 to 20, median 3).

CONCLUSIONS

A phone-based transitional care protocol for surgical patients is feasible, with <1% refusals and 95% engagement. Medication management is a prominent issue. Future studies are needed to assess the impact of surgical C-TraC on post-discharge healthcare use.

Reducing Readmissions While Shortening Length of Stay: The Positive Impact of an Enhanced Recovery Protocol in Colorectal Surgery

BACKGROUND

Hospital readmission rates are an increasingly important quality metric since enactment of the 2012 Hospital Readmissions Reduction Program. The proliferation of enhanced recovery protocols and earlier discharge raises concerns for increased readmission rates.

OBJECTIVE

We evaluated the effect of enhanced recovery on readmissions and identified risk factors for readmission.

DESIGN

This study involved implementation of a multidisciplinary enhanced recovery protocol.

SETTINGS

It was conducted at a large academic medical center PATIENTS:: All patients undergoing elective colorectal surgery between 2011 and 2015 at our center were included.

MAIN OUTCOME MEASURES

This cohort study compared patients before and after enhanced recovery initiation, looking at 30-day readmission as the primary outcome. A multivariable logistic regression model identified predictors of 30-day readmission. Kaplan-Meier analysis identified differences in time to readmission.

RESULTS

A total of 707 patients underwent colorectal procedures between 2011 and 2015, including 383 patients before enhanced recovery protocol was implemented and 324 patients after enhanced protocol was implemented. Length of stay decreased from a median 5 days to a median 4 days before and after enhanced recovery implementation (p < 0.0001). Thirty-day readmission decreased from 19% (72/383) in the pre-enhanced recovery pathway to 12% (38/324) in the enhanced recovery pathway (p = 0.009). Twenty-one percent (21/99) of patients who underwent ileostomy were readmitted before enhanced recovery implementation compared with 19% (18/93) of patients who underwent ileostomy after enhanced recovery implementation (p = 0.16). Multivariable logistic regression identified ileostomy as increasing the risk of readmission (p = 0.04), whereas enhanced recovery protocol decreased the risk of readmission (p = 0.006).

LIMITATIONS

The study is limited because it was conducted at a single institution and used a before-and-after study design.

CONCLUSIONS

These data suggest that use of a standardized enhanced recovery protocol significantly reduces length of stay and readmission rates in an elective colorectal surgery population. However, the presence of an ileostomy maintains a high association with readmission, serving as a significant burden to patients and providers alike. Ongoing efforts are needed to further improve the management of patients undergoing ileostomy in the outpatient setting after discharge to prevent readmissions.

Readmission Following Gastric Cancer Resection: Risk Factors and Survival

BACKGROUND

This study utilized a multi-institutional database to evaluate risk factors for readmission in patients undergoing curative gastrectomy for gastric adenocarcinoma with the intent of describing both perioperative risk factors and the relationship of readmission to survival.

METHODS

Patients who underwent curative resection of gastric adenocarcinoma from 2000 to 2012 from seven academic institutions of the US Gastric Cancer Collaborative were analyzed. In-hospital deaths and palliative surgeries were excluded, and readmission was defined as within 30 days of discharge. Univariate and multivariable logistic regression analyses were employed and survival analysis conducted.

RESULTS

Of the 855 patients, 121 patients (14.2 %) were readmitted. Univariate analysis identified advanced age (p < 0.0128), American Society of Anesthesiology status ≥3 (p = 0.0045), preexisting cardiac disease (p < 0.0001), hypertension (p = 0.0142), history of smoking (p = 0.0254), increased preoperative blood urea nitrogen (BUN; p = 0.0426), concomitant pancreatectomy (p = 0.0056), increased operation time (p = 0.0384), estimated blood loss (p = 0.0196), 25th percentile length of stay (<7 days, p = 0.0166), 75th percentile length of stay (>12 days, p = 0.0256), postoperative complication (p < 0.0001), and total gastrectomy (p = 0.0167) as risk factors for readmission. Multivariable analysis identified cardiac disease (odds ratio (OR) 2.4, 95 % confidence interval (CI) 1.6-3.3, p < 0.0001), postoperative complication (OR 2.3, 95 % CI 1.6-5.4, p < 0.0001), and pancreatectomy (OR 2.2, 95 % CI 1.1-4.1, p = 0.0202) as independent risk factors for readmission. There was an association of decreased overall median survival in readmitted patients (39 months for readmitted vs. 103 months for non-readmitted). This was due to decreased survival in readmitted stage 1 (p = 0.0039), while there was no difference in survival for other stages. Stage I readmitted patients had a higher incidence of cardiac disease than stage I non-readmitted patients (58 vs. 24 %, respectively, p = 0.0002).

CONCLUSIONS

Within this multi-institutional study investigating readmission in patients undergoing curative resection for gastric cancer, cardiac disease, postoperative complication, and concomitant pancreatectomy were identified as significant risk factors for readmission. Readmission was associated with decreased overall median survival, but on further analysis, this was driven by differences in survival for stage I disease only.

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.

Incidence, reasons, and risk factors for readmission after surgery for benign distal esophageal disease

BACKGROUND

Our aim was to ascertain the incidence of, reasons for, and risk factors associated with hospital readmission after an operation for benign distal esophageal disease.

METHODS

Using the American College of Surgeons National Surgical Quality Improvement Program database (2012-2014), patients with a primary diagnosis of gastroesophageal reflux disease, paraesophageal hiatal hernia, or achalasia who underwent fundoplication, paraesophageal hernia repair, or Heller myotomy were identified. The primary outcome was hospital readmission. Multivariable logistic regression analysis was used to identify risk factors associated with hospital readmission.

RESULTS

Of the 14,478 patients included in this study, 801 (5.5%) were readmitted at a median of 11 days (interquartile range 6-17) postprocedure. Intolerance of oral intake (21.8%), respiratory complications (11.6%), abdominal pain (6.0%), and venous thromboembolic events (4.7%) were some of the most common reasons for readmission. Open operative approach (odds ratio 1.34, 95% confidence interval 1.05-1.71), chronic steroid use (odds ratio 1.48, 95% confidence interval 1.10-2.00), emergency admission (odds ratio 1.50, 95% confidence interval 1.01-2.21), and predischarge complication (odds ratio 1.91, 95% confidence interval 1.42-2.59) were associated most strongly with hospital readmission.

CONCLUSION

Implementing standardized perioperative strategies, such as nutritional counseling, early ambulation, intensive pulmonary toilet, and deep vein thrombosis prophylaxis, may help decrease the number of preventable readmissions and enhance the overall quality of care in this patient population.

A population-based comparison of 30-day readmission after surgery for colon and rectal cancer: How are they different?

BACKGROUND

An implicit assumption in the analysis of colorectal readmission is that colon and rectal cancer patients are similar enough to analyze together. However, no studies have examined this assumption and whether substantial differences exist between colon and rectal cancer patients.

METHODS

This was a retrospective analysis of the differences in predictors, diagnoses, and costs of readmission between colon and rectal cancer cohorts for 30-day readmission. This study included all patients aged >18 who received an elective colectomy or low anterior resection for colorectal cancer from April 2008 until March 2012 in the province of Ontario.

RESULTS

Overall, 13,571 patients were identified and the readmission rates significantly differed between rectal and colon cancer patients (7.1% colon and 10.7% rectal P = 0.001). Diabetes, age, and discharge to long term care were significantly different among colon and rectal patients in the prediction of readmission. Readmission for renal and stoma causes was more prominent in the rectal cohort. The adjusted cost difference for readmission did not significantly differ between rectal and colon cancer $178 ($1,924-1,568 P = 0.84) CONCLUSION: Several important differences in predictors and diagnoses exist between the two cohorts. Conversely, the costs associated with readmission were homogenous between rectal and colon cancer patients. J. Surg. Oncol. 2016;114:354-360. © 2016 Wiley Periodicals, Inc.

Factors associated with 30-day unplanned pediatric surgical readmission

BACKGROUND

Unplanned readmissions are costly to family satisfaction and negatively associated with quality of care. We hypothesized that patient, operative, and hospital factors would be associated with pediatric readmission.

METHODS

All patients with an inpatient operation from 10/1/2008 to 7/28/2014 at a freestanding children's hospital were included. A retrospective cohort study using multivariable forward stepwise logistic regression determined factors associated with unplanned readmission within 30 days of discharge.

RESULTS

Among 20,785 patients with an operation there were 26,978 encounters and 3,092 readmissions (11.5%). Thirteen of 33 candidate variables considered in the stepwise regression were significantly associated with readmission. Patients with an emergency department visit within 365 days of operation, American Society of Anesthesiologists class 4 or greater, Hispanic ethnicity and late-day or holiday/weekend discharges were more likely to have an unplanned readmission (odds ratio [OR] = 1.96; 95% confidence interval [CI] = 1.76 to 2.19, OR = 2.00; 95% CI = 1.58 to 2.53, OR = 1.16; 95% CI = 1.04 to 1.29, OR = 2.27; 95% CI = 1.55 to 3.63. respectively).

CONCLUSIONS

Patient and hospital factors may be associated with readmission. Day and time of discharge represent variability of care and are important targets for hospital initiatives to decrease unplanned readmission.

Length of hospital stay after craniotomy for tumor: a National Surgical Quality Improvement Program analysis

OBJECT

Although the length of hospital stay is often used as a measure of quality of care, data evaluating the predictors of extended hospital stay after craniotomy for tumor are limited. The goals of this study were to use multivariate regression to examine which preoperative characteristics and postoperative complications predict a prolonged hospital stay and to assess the impact of length of stay on unplanned hospital readmission.

METHODS

Data were extracted from the National Surgical Quality Improvement Program (NSQIP) database from 2007 to 2013. Patients who underwent craniotomy for resection of a brain tumor were included. Stratification was based on length of hospital stay, which was dichotomized by the upper quartile of the interquartile range (IQR) for the entire population. Covariates included patient age, sex, race, tumor histology, comorbidities, American Society of Anesthesiologists (ASA) class, functional status, preoperative laboratory values, preoperative neurological deficits, operative time, and postoperative complications. Multivariate logistic regression with forward prediction was used to evaluate independent predictors of extended hospitalization. Thereafter, hierarchical multivariate logistic regression assessed the impact of length of stay on unplanned readmission.

RESULTS

The study included 11,510 patients. The median hospital stay was 4 days (IQR 3-8 days), and 27.7% (n = 3185) had a hospital stay of at least 8 days. Independent predictors of extended hospital stay included age greater than 70 years (OR 1.53, 95% CI 1.28%-1.83%, p < 0.001); African American (OR 1.75, 95% CI 1.44%-2.14%, p < 0.001) and Hispanic (OR 1.68, 95% CI 1.36%-2.08%) race or ethnicity; ASA class 3 (OR 1.52, 95% CI 1.34%-1.73%) or 4-5 (OR 2.18, 95% CI 1.82%-2.62%) designation; partially (OR 1.94, 95% CI 1.61%-2.35%) or totally dependent (OR 3.30, 95% CI 1.95%-5.55%) functional status; insulin-dependent diabetes mellitus (OR 1.46, 95% CI 1.16%-1.84%); hematological comorbidities (OR 1.68, 95% CI 1.25%-2.24%); and preoperative hypoalbuminemia (OR 1.78, 95% CI 1.51%-2.09%, all p ≤ 0.009). Several postoperative complications were additional independent predictors of prolonged hospitalization including pulmonary emboli (OR 13.75, 95% CI 4.73%-39.99%), pneumonia (OR 5.40, 95% CI 2.89%-10.07%), and urinary tract infections (OR 11.87, 95% CI 7.09%-19.87%, all p < 0.001). The C-statistic of the model based on preoperative characteristics was 0.79, which increased to 0.83 after the addition of postoperative complications. A length of stay after craniotomy for tumor score was created based on preoperative factors significant in regression models, with a moderate correlation with length of stay (p = 0.43, p < 0.001). Extended hospital stay was not associated with differential odds of an unplanned hospital readmission (OR 0.97, 95% CI 0.89%-1.06%, p = 0.55).

CONCLUSIONS

In this NSQIP analysis that evaluated patients who underwent craniotomy for tumor, much of the variance in hospital stay was attributable to baseline patient characteristics, suggesting length of stay may be an imperfect proxy for quality. Additionally, longer hospitalizations were not found to be associated with differential rates of unplanned readmission.