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1578 Background: Acute care visits (emergency department [ED] visits or inpatient admissions) for patients with cancer are growing disproportionately. Traditional oncology care models have not effectively identified and managed at-risk patients to prevent acute care. A next step is to harness advances in technology and mobile applications to enable patients to report symptoms any time, enabling “digital hovering” - intensive monitoring and management of high-risk patients. Our objective was to evaluate a digital platform that identifies and remotely monitors high-risk patients initiating intravenous antineoplastic therapy with the goal of preventing unnecessary acute care visits. Methods: This was a single-institution matched cohort quality improvement study conducted at an NCI-designated cancer center between January 1, 2019 and March 31, 2020. Eligible patients were those initiating intravenous antineoplastic therapy who were identified as high-risk for seeking acute care. Patients were identified as high-risk for an acute care visit by their oncologist with decision support from a web-based machine learning model. Enrolled patients’ symptoms were monitored using a digital platform. The platform is integrated into the EMR and includes: 1) a secure patient portal enabling communication and daily delivery of electronic patient-reported outcomes symptom assessments; 2) clinical alerts for concerning symptoms; and 3) a symptom trending application. A dedicated team of registered nurses and nurse practitioners managed reported symptoms. These clinicians acted as an extension of the primary oncology team, assisting with patient management exclusively through the platform. The primary outcomes evaluated were incidence of ED visits and inpatient admissions within six months of intravenous antineoplastic initiation. Results: Eighty-one high-risk patients from the intervention arm were matched by stage and disease with contemporaneous high-risk control patients. Matched cohorts had similar baseline characteristics, including age, sex, race, and treatment. ED visits and hospitalizations within six months of treatment initiation were analyzed using cumulative incidence analyses with a competing risk of death. The cumulative incidence of an ED visit for the intervention cohort was 0.27 (95% CI: 0.17, 0.37) at six months compared to 0.47 (95% CI: 0.36, 0.58) in the control group (p = 0.01). The cumulative incidence of an inpatient admission was 0.23 (95% CI: 0.14, 0.33) in the intervention group versus 0.41 (95% CI: 0.30, 0.51) in the control group (p = 0.02). Conclusions: The narrow employment of technology solutions to complex care delivery challenges in oncology can improve outcomes and innovate care. This program was a first step in using a digital platform and a remote team to improve symptom care in the home for high-risk patients.

Ambulatory surgery centers (ASC) serve an important role for hospital systems of increasing operating capacity and offloading patient volume. When seeking to perform more complex cancer surgeries at an ASC, a systematic approach with care pathways can yield success by facilitating quick recovery for patients and reducing complication rates. End-to-end patient engagement is a key component of patient-centered care at the Josie Robertson Surgery Center and begins the moment the decision to have surgery is made and extends to the postdischarge period to track recovery. Engagement includes comprehensive education, standardization of processes, and setting clear expectations for recovery and discharge.

PURPOSE Patients recovering from ambulatory cancer surgery at home may find it difficult to determine whether their postoperative symptoms are normal or potentially serious. We developed the Recovery Tracker to help patients navigate such issues. The Recovery Tracker is a 10-day, web-based electronic survey that monitors symptoms daily and provides feedback as to whether reported symptoms are expected or require follow-up. We sought to examine patient perceptions using this tool. METHODS Semistructured interviews were conducted from August 2017 to September 2019 with a convenience sample of patients from a larger randomized controlled trial of the Recovery Tracker. Patients undergoing surgery at an ambulatory cancer center dedicated to the surgical treatment of breast, gynecologic, urologic, head, and neck cancers and benign tumors were included. Thematic analysis was applied to derive key themes and codes via NVivo qualitative analysis software. Recruitment was conducted iteratively until thematic saturation. RESULTS Forty-three patients were interviewed. Interview responses were organized into five main themes: (1) The Recovery Tracker led to more seamless communication with the care team; (2) symptoms not expected or not listed on the Recovery Tracker caused stress; (3) the Recovery Tracker was perceived as an extension of care, prompting reflection about symptoms and recovery; (4) Enhanced Feedback provided reassurance and helped set expectations; and (5) the Recovery Tracker was easy to use. CONCLUSION The patient experience of electronic symptom monitoring and feedback is congruent with the aims of such monitoring and feedback. Further qualitative research is required in more diverse populations.

PURPOSE: Many patients will experience symptoms in the initial days after radical prostatectomy (RP), but early patient-reported symptoms have not been well-characterized. Our objective was to illustrate the pattern of symptoms experienced after RP and the relation of severe symptoms to postoperative complications. METHODS: In 2016, electronic patient-reported symptom monitoring began at our institution’s ambulatory surgery center. We retrospectively reviewed patients treated with minimally-invasive RP, who were sent a daily questionnaire completed using a web-interface until postoperative day 10. Severe symptoms automatically generate a “yellow alert,” which messages the clinic, while very severe symptoms generate a “red alert,” additionally prompting the patient to call. We summarized rates of moderate-to-very severe symptoms and fit local polynomial regressions. We compared rates of 30- or 90-d complications (≥grade 2) based on the presence of alert symptoms. RESULTS: Of 2266 men undergoing RP, 1942 (86%) completed surveys. Among moderate-to-very severe symptom levels, pain (72%) and dyspnea (11%) were most common. Pain, nausea, and dyspnea consistently decreased over time; fever and vomiting had a flat pattern. In patients experiencing red-alert symptoms, we observed a higher risk of 30-d complications, but rates were low and differences between groups were non-significant (2.9% vs 1.9%; difference 1.1%; 95% CI -1.3%−3.5%; p = 0.3). Results were similar examining 90-d complications. CONCLUSIONS: While symptoms are common after RP, substantial improvements occur over the first 10 d. Severe or very severe symptoms conferred at most a small absolute increase in complication risk, which should be reassuring to patients and clinicians.

Background We describe the implementation of enhanced recovery after surgery (ERAS) programs designed to minimize postoperative nausea and vomiting (PONV) and pain and reduce opioid use in patients undergoing selected procedures at an ambulatory cancer surgery center. Key components of the ERAS included preoperative patient education regarding the postoperative course, liberal preoperative hydration, standardized PONV prophylaxis, appropriate intraoperative fluid management, and multimodal analgesia at all stages. Methods We retrospectively reviewed data on patients who underwent mastectomy with or without immediate reconstruction, minimally invasive hysterectomy, thyroidectomy, or minimally invasive prostatectomy from the opening of our institution on January 2016 to December 2018. Data collected included use of total intravenous anesthesia (TIVA), rate of PONV rescue, time to first oral opioid, and total intraoperative and postoperative opioid consumption. Compliance with ERAS elements was determined for each service. Quality outcomes included time to first ambulation, postoperative length of stay (LOS), rate of reoperation, rate of transfer to acute care hospital, 30-day readmission, and urgent care visits ≤30 days. Results We analyzed 6781 ambulatory surgery cases (2965 mastectomies, 1099 hysterectomies, 680 thyroidectomies, and 1976 prostatectomies). PONV rescue decreased most appreciably for mastectomy (28% decrease; 95% confidence interval [CI], -36 to -22). TIVA use increased for both mastectomies (28%; 95% CI, 20-40) and hysterectomies (58%; 95% CI, 46-76). Total intraoperative opioid administration decreased over time across all procedures. Time to first oral opioid decreased for all surgeries; decreases ranged from 0.96 hours (95% CI, 2.1-1.4) for thyroidectomies to 3.3 hours (95% CI, 4.5 to -1.7) for hysterectomies. Total postoperative opioid consumption did not change by a clinically meaningful degree for any surgery. Compliance with ERAS measures was generally high but varied among surgeries. Conclusions This quality improvement study demonstrates the feasibility of implementing ERAS at an ambulatory surgery center. However, the study did not include either a concurrent or preintervention control so that further studies are needed to assess whether there is an association between implementation of ERAS components and improvements in outcomes. Nevertheless, we provide benchmarking data on postoperative outcomes during the first 3 years of ERAS implementation. Our findings reflect progressive improvement achieved through continuous feedback and education of staff.

OBJECTIVE We implemented routine daily electronic monitoring of patient-reported outcomes (PROs) for 10 days after discharge after ambulatory cancer surgery, with alerts to clinical staff for worrying symptoms. We sought to determine whether enhancing this monitoring by adding immediate automated normative feedback to patients regarding expected symptoms would further improve the patient experience. SUMMARY OF BACKGROUND DATA PRO monitoring reduces symptom severity in cancer patients. In ambulatory cancer surgery, it reduces potentially avoidable urgent care center (UCC) visits, defined as those UCC visits without readmission. METHODS Patients undergoing ambulatory cancer surgery (n = 2624) were randomized to receive standard PRO monitoring or enhanced feedback. The primary study outcome was UCC visits without readmission within 30 days; secondary outcomes included patient anxiety and nursing utilization. RESULTS There was no significant difference in the risk of a potentially avoidable UCC visit [1.0% higher in enhanced feedback, 95% confidence interval (CI) -0.2-3.1%; P = 0.12]. There were similarly no significant differences in UCC visits with readmission or readmission overall (P = 0.4 for both). Patients randomized to enhanced feedback demonstrated a quicker reduction in anxiety (P < 0.001) and required 14% (95% CI 8-19%; P < 0.001) and 10% (95% CI 5-16%, P < 0.001) fewer nursing calls over 10 and 30 days postoperatively. CONCLUSIONS Providing patients with feedback about symptom severity during recovery from ambulatory cancer surgery reduces anxiety and nursing workload without affecting UCC visits or readmissions. These results support wider incorporation of normative feedback in systems for routine PRO monitoring.

Although ketorolac is an effective adjunct for managing pain in the perioperative period, it is associated with a risk of postoperative bleeding. This study retrospectively investigated the association between ketorolac use and both reoperation and postoperative opioid use among mastectomy patients. The study identified all women undergoing mastectomy (unilaterally or bilaterally) at our ambulatory surgery cancer center from January 2016 to June 2019. The primary outcome was reoperation for bleeding on postoperative day 0 or 1, and the secondary outcome was postoperative opioid use. The association between ketorolac and outcomes was assessed using multivariable regression models. The covariates were age, body mass index, breast reconstruction, bilateral surgery, peripheral nerve block, and preoperative antiplatelet and/or anticoagulation medication. A cohort of 3469 women were identified. Ketorolac was given to 1549 (45%) of the women, with 922 women (60%) receiving 30 mg and 627 women (40%) receiving 15 mg. The overall reoperation rate for bleeding was 3.1% (1.8% without ketorolac vs 4.8% with ketorolac). In the multivariable analysis, ketorolac was associated with a higher risk of reoperation [odds ratio (OR) 2.43; 95% confidence interval (CI) 1.60–3.70; P < 0.0001]. Ketorolac also was associated with a lower proportion of patients receiving any postoperative narcotic within 24 h (15 mg: OR 0.73; 95% CI 0.57–0.94; P = 0.014 vs 30 mg: OR 0.52; 95% CI 0.42–0.66; P < 0.0001). Ketorolac use decreased postoperative opioid use, but this benefit was outweighed by the increased risk of bleeding requiring reoperation. This finding led to a change in practice at the authors’ center, with ketorolac no longer administered in the perioperative care of the mastectomy patient.

Objective To evaluate the feasibility of an electronic symptom-tracking platform for patients recovering from ambulatory surgery. Method We assessed user response to an electronic system designed to self-report symptoms. Endpoints included compliance, postoperative symptoms, patient satisfaction. An 8-item symptom inventory (pain, nausea, vomiting, shortness of breath, fever, swelling, discharge, redness) was developed and made available on postoperative days (POD) 2–6. Responses exceeding defined thresholds of severity triggered alerts to healthcare providers. Symptoms, alerts, actions taken, urgent care center (UCC) visits, hospital admissions were tracked until POD 30. Patient satisfaction was evaluated on POD 7. A patient was defined as “responder” if at least 5/8 items on at least 3 PODs were completed. The assessment method was deemed successful if 64/100 patients responded. Results 97/102 patients were evaluable; 65 met “responder” criteria (67% responder rate; 95% CI 57–76%). 321 surveys were completed (median 4/patient), 248 (77%) in ≤2 min. Involving caregivers and allowing additional symptom-reporting improved the responder rate to 72% (95% CI 58–84%). Most commonly-reported moderate, severe, very severe symptoms were pain, nausea, swelling; 71% reported moderate to very severe pain on POD 2. Phone calls and adjustment of medications adequately addressed most symptoms. Two patients (2%) presented at UCC before, 6 (6%) after, POD 6; 1 (1%) was admitted. Most agreed or strongly agreed that electronic symptom-tracking was helpful, easy to use, and would recommend it to others. Conclusion Electronic symptom-tracking is feasible for patients undergoing ambulatory gynecologic cancer surgery. Symptom burden is high in the early postoperative period. Addressing patient-reported symptoms in a timely, automated manner may prevent severe downstream adverse events, reduce UCC visits and admission rates, and improve outcomes., Highlights • This study assessed user response of an electronic system designed to self-report symptoms. • Electronic postoperative symptom-tracking is feasible for patients undergoing ambulatory gynecologic cancer surgery. • Symptom burden is high in the early postoperative period. • Electronic patient-reported symptom-tracking reduces adverse events and urgent care/readmission rates and improves outcomes.

BACKGROUND: Whether routinely prescribed opioids are necessary for pain control after discharge among lumpectomy/sentinel node biopsy (Lump/SLNB) patients is unclear. We hypothesized that Lump/SLNB patients could be discharged without opioids with a failure rate of

Minimally invasive operative techniques and enhanced recovery after surgery (ERAS) protocols have transformed clinical practice and made it possible to perform increasingly complex oncologic procedures in the ambulatory setting, with recovery at home after a single overnight stay. Capitalizing on these changes, Memorial Sloan Kettering Cancer Center's Josie Robertson Surgery Center (JRSC), a freestanding ambulatory surgery facility, was established to provide both outpatient procedures and several surgeries that had previously been performed in the inpatient setting, newly transitioned to this ambulatory extended recovery (AXR) model. However, the JRSC core mission goes beyond rapid recovery, aiming to be an innovation center with a focus on superlative patient experience and engagement, efficiency, and data-driven continuous improvement. Here, we describe the JRSC genesis, design, care model, and outcome tracking and quality improvement efforts to provide an example of successful, patient-centered surgical care for select patients undergoing relatively complex procedures in an ambulatory setting.

Importance Increasingly complex surgical procedures are being performed in the outpatient setting, increasing the burden on patients and caregivers to manage their postoperative symptoms. Electronic patient-reported symptom tracking may reduce this burden and help patients distinguish between expected symptoms and those requiring intervention. Objective To determine whether electronic symptom reporting with clinical alerts for 10 days after ambulatory cancer surgery is associated with a reduction in potentially avoidable urgent care visits, defined as a visit not leading to admission. Design, Setting, and Participants This retrospective cohort study was conducted at the Josie Robertson Surgery Center (JRSC), Memorial Sloan Kettering Cancer Center’s ambulatory surgery center with overnight stay capacity from September 20, 2016, to December 31, 2018. Patients undergoing prostatectomy, nephrectomy, mastectomy with or without immediate reconstruction, hysterectomy, or thyroidectomy at the surgery center before (n = 4195) and after (n = 2970) implementation of the Recovery Tracker (RT) electronic postoperative symptom survey were included. Data analyses were conducted from February 1 to November 24, 2020. Exposures A short electronic survey assessing symptoms daily for 10 days after surgery, administered via the patient portal, with alerts to the clinical team and follow-up for concerning responses. Main Outcomes and Measures The main outcome was Memorial Sloan Kettering urgent care center visits with and without readmission and any readmission within 30 days after surgery. Nursing workload was measured by patient phone calls, emails, and secure messages as documented in the electronic medical record. Results A total of 7165 patients were analyzed, including 4195 (median age, 53 [interquartile range (IQR), 44-63] years; 3490 women [83%]) from the pre-RT implementation period and 2970 (median age, 56 [IQR, 46-65] years; 2221 women [75%]) from after full implementation. On multivariable, intent-to-treat analysis by study period, having surgery in the post-RT period was associated with a 22% decrease in the odds of an urgent care center visit without readmission (OR, 0.78; 95% CI, 0.60-1.00;P = .047). Having responded to at least 1 survey was associated with a 42% reduction in the odds of an urgent care center visit without readmission (OR, 0.58; 95% CI, 0.39-0.87;P = .007). There was no change in the risk of admission. Nursing calls increased by a mean of 0.86 (95% CI, 0.75-0.98) calls per patient after RT implementation (P Conclusions and Relevance In this cohort study, electronic symptom reporting with nursing follow-up for clinical alerts was associated with a reduction in potentially avoidable urgent care visits. The low risk and high benefit of this intervention suggest that these systems should be more broadly implemented.

Background and objectives Remifentanil infusion is used as an intraoperative anesthetic for thyroidectomy, but has been associated with acute opioid tolerance and hyperalgesia. A national shortage of remifentanil provided an opportunity to study postoperative pain in patients undergoing thyroidectomy. Methods Retrospective review of prospectively collected data from an outpatient surgery center. Primary analysis compared patients treated before and after remifentanil shortage. Results Median postoperative opioid consumption was 20 morphine milligram equivalents (MMEs) among those treated in the high-dose period and 15 MMEs in the low-dose period. Remifentanil/weight received was a significant predictor of requiring a postoperative narcotic (P = .006). Total non-remifentanil narcotics administered were equivalent but patients in the low dose period received higher amounts of intraoperative long-acting narcotics. Conclusions Remifentanil infusion for thyroid surgery is associated with higher postoperative pain and postoperative narcotics requirement. While a hyperalgesia state is possible, shifting of longer-acting narcotics from intraoperative to postoperatively is also supported.

BACKGROUND: In the short-stay surgery setting, where patients remain in hospital for a single overnight at most, it is unclear as to whether postoperative length of stay is a good surrogate for assessing rapidity of recovery. We hypothesized that length of stay would be a function of time of surgery and would be a poorer marker of recovery than time of discharge. METHODS: A cohort of 891 mastectomy and 538 prostatectomy patients had a planned single overnight stay after surgery at an ambulatory surgical hospital during 2016. The relationship between surgical start time and postoperative length of stay or discharge time was assessed. RESULTS: For both mastectomy and prostatectomy patients, 75% of patients were discharged between 10 AM and 12 noon and the median postoperative length of stay was 20 hours. There was a strong association between time of surgery and calculated length of stay. For mastectomies, having a surgery which begins at 6 PM vs 8 AM results in an estimated decrease of 8.8 hours (95% CI, 8.3–9.3) in postoperative length of stay but only 1.2 hours (95% CI, 0.77–1.6) later time of discharge. For prostatectomies, the estimated difference is a decrease of 6.9 hours (95% CI, 6.4–7.4) for postoperative length of stay and 2.5 hours (95% CI, 2.0–3.0) later discharge time. CONCLUSIONS: Postoperative length of stay is a poor outcome measure in a short-stay setting. When assessing rapidity of recovery for single overnight stay patients, we advocate the use of discharge time with adjustment for surgery start time. The effect of surgery start time on both postoperative length of stay and discharge time should be investigated to ascertain which is best to assess rapidity of recovery in other ambulatory care settings where recovery involves a single overnight stay. (Anesth Analg 2019;129:1007–13)

Background Patients with obstructive sleep apnea (OSA) may be at increased risk for serious perioperative complications. The suitability of ambulatory surgery for patients with OSA remains controversial, and several national guidelines call for more evidence that assesses clinically significant outcomes. In this study, we investigate the association between OSA status (STOP-BANG risk, or previously diagnosed) and short-term outcomes and safety for patients undergoing cancer surgery at a freestanding ambulatory surgery facility. Methods We conducted a retrospective analysis of all patients having surgery at the Josie Robertson Surgery Center, a freestanding ambulatory surgery facility of the Memorial Sloan Kettering Cancer Center. Surgeries included more complex ambulatory extended recovery procedures for which patients typically stay overnight, such as mastectomy, thyroidectomy, and minimally invasive hysterectomy, prostatectomy, and nephrectomy, as well as typical outpatient surgeries. Both univariate and multivariable analyses were used to assess the association between OSA risk and transfer to the main hospital, urgent care center visit, and hospital readmission within 30 days postoperatively (primary outcomes) and length of stay and discharge time (secondary outcomes). Multivariable models were adjusted for age, American Society of Anesthesiologists score, robotic surgery, and type of anesthesia (general or monitored anesthesia care) and also adjusted for surgery start time for length of stay and discharge time outcomes. χ tests were used to assess the association between OSA risk and respiratory events and device use. Results Of the 5721 patients included in the analysis, 526 (9.2%) were diagnosed or at moderate or high risk for OSA. We found no evidence of a difference in length of stay when comparing high-risk or diagnosed patients with OSA to low- or moderate-risk patients whether they underwent outpatient (P = .2) or ambulatory extended recovery procedures (P = .3). Though a greater frequency of postoperative respiratory events were reported in high-risk or diagnosed patients with OSA compared to moderate risk (P = .004), the rate of hospital transfer was not significantly different between the groups (risk difference, 0.78%; 95% CI, -0.43% to 2%; P = .2). On multivariable analysis, there was no evidence of increased rate of urgent care center visits (adjusted risk difference, 1.4%; 95% CI, -0.68% to 3.4%; P = .15) or readmissions within 30 days (adjusted risk difference, 1.2%; 95% CI, -0.40% to 2.8%; P = .077) when comparing high-risk or diagnosed OSA to low- or moderate-risk patients. Based on the upper bounds of the CIs, a clinically relevant increase in transfers, readmissions, and urgent care center visits is unlikely. Conclusions Our results contribute to the body of evidence supporting that patients with moderate-risk, high-risk, or diagnosed OSA can safely undergo outpatient and advanced ambulatory oncology surgery without increased health care burden of extended stay or hospital admission and avoiding adverse postoperative outcomes. Our results support the adoption of several national OSA guidelines focusing on preoperative identification of patients with OSA and clinical pathways for perioperative management and postoperative monitoring.

Electronic patient-reported outcomes (ePROs) may have the potential to improve cancer care delivery by enhancing patient quality of life, reducing acute care visits, and extending overall survival. However, the optimal cadence of ePRO assessments is unknown.To determine patient response preferences and the clinical value associated with a daily cadence for ePROs for patients receiving antineoplastic treatment.This quality improvement study of adult patients undergoing antineoplastic treatment assessed a remote monitoring program using ePROs that was developed to manage cancer therapy-related symptoms. ePRO data submitted between October 16, 2018 to February 29, 2020, from a single regional site within the Memorial Sloan Kettering Cancer Center network were included. Data were analyzed from April 2020 to January 2022.While undergoing active treatment, patients received a daily ePRO assessment that, based on patient responses, generated yellow (moderate) or red (severe) symptom alerts that were sent to clinicians.The main outcomes assessed included patient response rate, symptom alert frequency, and an analysis of the clinical value of daily ePROs.A total of 217 patients (median [range] age, 66 [31-92] years; 103 [47.5%] women and 114 [52.5%] men) initiating antineoplastic therapy at high risk for symptoms were monitored for a median (range) of 91 (2-369) days. Most patients had thoracic (59 patients [27.2%]), head and neck (48 patients [22.1%]), or gastrointestinal (43 patients [19.8%]) malignant neoplasms. Of 14 603 unique symptom assessments completed, 7349 (50.3%) generated red or yellow symptom alerts. Symptoms commonly generating alerts included pain (665 assessments [23.0%]) and functional status (465 assessments [16.1%]). Most assessments (8438 assessments [57.8%]) were completed at home during regular clinic hours (ie, 9 am-5 pm), with higher response rates on weekdays (58.4%; 95% CI, 57.5%-59.5%) than on weekend days (51.3%; 95% CI, 49.5%-53.1%). Importantly, 284 of 630 unique red alerts (45.1%) surfaced without a prior yellow alert for the same symptom within the prior 7 days; symptom severity fluctuated over the course of a week, and symptom assessments generating a red alert were followed by an acute care visit within 7 days 8.7% of the time compared with 2.9% for assessments without a red alert.These findings suggest that daily ePRO assessments were associated with increased insight into symptom management in patients undergoing antineoplastic treatment and symptom alerts were associated with risk of acute care.

PURPOSE: Early detection and management of symptoms in patients with cancer improves outcomes. However, the optimal approach to symptom monitoring and management is unknown. InSight Care is a mobile health intervention that captures symptom data and facilitates patient-provider communication to mitigate symptom escalation. PATIENTS AND METHODS: Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. Technology supporting the program included the following: a predictive model that identified patient risk for a potentially preventable acute care visit; a secure patient portal enabling communication, televisits, and daily delivery of patient symptom assessments; alerts for concerning symptoms; and a symptom-trending application. The main outcomes of the pilot were feasibility and acceptability evaluated through enrollment and response rates and symptom alerts, and perceived value evaluated on the basis of qualitative patient and provider interviews. RESULTS: The pilot program enrolled 100 high-risk patients with solid tumors and lymphoma (29% of new treatment starts v goal of 25%). Over 6 months of follow-up, the daily symptom assessment response rate was 56% (the goal was 50%), and 93% of patients generated a severe symptom alert. Patients and providers perceived value in the program, and archetypes were developed for program improvement. Enrolled patients were less likely to use acute care than were other high-risk patients. CONCLUSION: InSight Care was feasible and holds the potential to improve patient care and decrease facility-based care. Future work should focus on optimizing the cadence of patient assessments, the workforce supporting remote symptom management, and the return of symptom data to patients and clinical teams.

Background Overprescribing of opioids after surgery contributes to long-term abuse. Evaluating opioid prescription patterns and patient-reported opioid use offers an evidence-based method to identify potential overprescription. This quality improvement initiative aimed to reduce and standardize opioid prescriptions upon discharge from an ambulatory oncologic surgery center and evaluate the effect of this change on patients’ subsequent opioid use and reported pain. Methods Between March 2018 and January 2019, consecutive opioid-naive patients aged ≥ 18 years who underwent robotic or laparoscopic hysterectomy, radical prostatectomy, or partial nephrectomy, or total mastectomy with or without immediate reconstruction were surveyed 7–10 days postoperatively. Data collected in the pre- (n = 551) and post-standardization (n = 480) cohorts included perception of pain relief, opioids prescribed (verified by electronic medical record review) and consumed, and refills received. Results Pre-standardization, the median opioid prescription at discharge was 20 pills (interquartile range [IQR] 20–28) or 140 oral morphine milligram equivalents (MME) (IQR 100–150). Median opioid consumption was 2 pills (IQR 0–7) or 10 MME (IQR 0–40) among all services. Opioid prescriptions were later standardized to 7, 8, and 10 pills (35, 40, and 75 MME), in the gynecology, urology, and breast services, respectively. The change was not associated with an increase in reported pain. Refill requests increased postintervention across all surgeries from 4.4% to 7.7%, with the largest increase among patients who underwent breast surgery. Conclusion The number of opioid pills given at discharge to patients undergoing ambulatory or short-stay cancer surgery can safely be reduced.

PURPOSE To create a risk prediction model that identifies patients at high risk for a potentially preventable acute care visit (PPACV). PATIENTS AND METHODS We developed a risk model that used electronic medical record data from initial visit to first antineoplastic administration for new patients at Memorial Sloan Kettering Cancer Center from January 2014 to September 2018. The final time-weighted least absolute shrinkage and selection operator model was chosen on the basis of clinical and statistical significance. The model was refined to predict risk on the basis of 270 clinically relevant data features spanning sociodemographics, malignancy and treatment characteristics, laboratory results, medical and social history, medications, and prior acute care encounters. The binary dependent variable was occurrence of a PPACV within the first 6 months of treatment. There were 8,067 observations for new-start antineoplastic therapy in our training set, 1,211 in the validation set, and 1,294 in the testing set. RESULTS A total of 3,727 patients experienced a PPACV within 6 months of treatment start. Specific features that determined risk were surfaced in a web application, riskExplorer, to enable clinician review of patient-specific risk. The positive predictive value of a PPACV among patients in the top quartile of model risk was 42%. This quartile accounted for 35% of patients with PPACVs and 51% of potentially preventable inpatient bed days. The model C-statistic was 0.65. CONCLUSION Our clinically relevant model identified the patients responsible for 35% of PPACVs and more than half of the inpatient beds used by the cohort. Additional research is needed to determine whether targeting these high-risk patients with symptom management interventions could improve care delivery by reducing PPACVs.

Purpose The purpose of this paper is to determine the impact of having a patient-designated caregiver remain overnight with ambulatory extended recovery patients on early postoperative clinical outcomes. Design/methodology/approach This was a retrospective cohort study of patients undergoing surgery requiring overnight stay in a highly resourced free-standing oncology ambulatory surgery center. Postoperative outcomes in patients who had caregivers stay with them overnight were compared with outcomes in those who did not. All other care was standardized. Primary outcomes were postoperative length of stay, hospital readmission rates, urgent care center (UCC) visits within 30 days and perioperative complication rates. Findings Among patients staying overnight, 2,462 (57 percent) were accompanied by overnight caregivers. In this group, time to discharge was significantly lower. Readmissions (though rare) were slightly higher, though the difference was not statistically significant (p=0.059). No difference in early ( Originality/value This study is unique in its evaluation of the clinical impact of having a caregiver stay overnight with ambulatory surgery patients. Little research has focused on the direct impact of the caregiver on patient outcomes, especially in the ambulatory setting. With increased adoption of minimally invasive surgical techniques and enhanced recovery pathways, a larger number of patients are eligible for short-stay ambulatory surgery. Factors that impact discharge and early postoperative complications are important.

Although a deficiency of surfactant protein B (SFTPB) has been associated with lung injury, SFTPB expression has not yet been linked with nicotinamide phosphoribosyltransferase (NAMPT), a potential biomarker of acute lung injury (ALI). The effects of Nampt in the pulmonary epithelial cell on both SFTPB expression and lung inflammation were investigated in a LPS-induced ALI mouse model. Pulmonary epithelial cell-specific knockdown of Nampt gene expression, achieved by the crossing of Nampt gene exon 2 floxed mice with mice expressing epithelial-specific transgene Cre or by the use of epithelial-specific expression of anti-Nampt antibody cDNA, significantly attenuated LPS-induced ALI. Knockdown of Nampt expression was accompanied by lower levels of bronchoalveolar lavage (BAL) neutrophil infiltrates, total protein and TNF-α levels, as well as lower lung injury scores. Notably, Nampt knockdown was also associated with significantly increased BAL SFTPB levels relative to the wild-type control mice. Down-regulation of NAMPT increased the expression of SFTPB and rescued TNF-α-induced inhibition of SFTPB, whereas overexpression of NAMPT inhibited SFTPB expression in both H441 and A549 cells. Inhibition of NAMPT up-regulated SFTPB expression by enhancing histone acetylation to increase its transcription. Additional data indicated that these effects were mainly mediated by NAMPT nonenzymatic function via the JNK pathway. This study shows that pulmonary epithelial cell-specific knockdown of NAMPT expression attenuated ALI, in part, via up-regulation of SFTPB expression. Thus, epithelial cell-specific knockdown of Nampt may be a potential new and viable therapeutic modality to ALI.-Bi, G., Wu, L., Huang, P., Islam, S., Heruth, D. P., Zhang, L. Q., Li, D.-Y., Sampath, V., Huang, W., Simon, B. A., Easley, R. B., Ye, S. Q. Up-regulation of SFTPB expression and attenuation of acute lung injury by pulmonary epithelial cell-specific NAMPT knockdown.

Background and aims Regional blocks (RB) are increasingly administered to ambulatory mastectomy with immediate reconstruction (MWR) patients but their impact on recovery quality after discharge remains poorly defined. At the Josie Robertson Surgery Center (JRSC), patients are asked to report their symptoms for 10 days after discharge through a secure patient portal and the recovery tracker (RT), a 14-question survey adapted from the National Cancer Institute PRO-CTCAE instrument. We present novel data that correlate use of RB with improved post-discharge symptoms in MWR patients. Methods Following IRB approval for retrospective analysis, we analyzed data from 713 patients who underwent bilateral MWR from 4/2017 to 12/2018, stratified by patients who received RB (paravertebral, serratus, and/or PECS blocks) vs. patients who did not. For RT-reported pain and fatigue we used generalized estimating equations with a logit link to test association between moderate or greater symptom level and RB receipt, after adjusting for survey day, age, BMI, ASA score and OR time. Results 639 (90%) patients received a RB. Among the 559 patients with at least one RT survey (78% response rate), the odds of moderate or higher pain was 0.58 times lower among those with a RB (95% CI 0.34, 0.97; p=0.04; figure 1), with no differences regarding severe pain (p=0.7). Levels of moderate or higher fatigue also decreased over time, with no significant differences between groups. Conclusions We present novel patient-reported data that suggest RBs benefit MWR patients after discharge. Future studies should include quality and functional outcomes to demonstrate the broader impact of our anesthetic techniques.

Volatile anesthetics have been shown to reduce lung resistance through dilation of constricted airways. In this study, we hypothesized that that diffusion of inhaled anesthetics from airway lumen to smooth muscle would yield significant bronchodilation in vivo, and systemic recirculation would not be necessary to reduce lung resistance (R(L)) and elastance (E(L)) during sustained bronchoconstriction. To test this hypothesis, we designed a delivery system for precise timing of inhaled volatile anesthetics during the course of a positive pressure breath. We compared changes in R(L), E(L), and anatomic dead space (V(D)) in canines (N=5) during pharmacologically-induced bronchoconstriction with intravenous methacholine, and following treatments with: 1) targeted anesthetic delivery to V(D); and 2) continuous anesthetic delivery throughout inspiration. Both sevoflurane and isoflurane were used during each delivery regimen. Compared to continuous delivery, targeted delivery resulted in significantly lower doses of delivered anesthetic and decreased end-expiratory concentrations. However, we did not detect significant reductions in R(L) or E(L) for either anesthetic delivery regimen. This lack of response may have resulted from an insufficient dose of the anesthetic to cause bronchodilation, or from the preferential distribution of air flow with inhaled anesthetic delivery to less constricted, unobstructed regions of the lung, thereby enhancing airway heterogeneity and increasing apparent R(L) and E(L).

STUDY OBJECTIVE: An increasing number of overweight and obese patients are presenting for ambulatory surgical procedures and may be at risk of complications including longer surgeries, longer length of stay (LOS), and possible increase in unanticipated return visits or hospital admissions. DESIGN: Observational study using prospectively-collected data. SETTING: Freestanding and hospital-based ambulatory surgery facilities. PATIENTS AND INTERVENTIONS: 13,957 patients underwent ambulatory cancer surgery procedures at the Josie Robertson Surgery Center (JRSC) since opening in 2016, and 4591 patients eligible for ambulatory surgery at JRSC underwent surgery at the main hospital during the same timeframe. MEASUREMENTS: We assessed whether BMI was associated with increased operative time, post-operative LOS, hospital transfer after surgery, or hospital readmission or urgent care center visits within 30 days. Using multivariable logistic regression, we assessed whether BMI was associated with decision to do surgery at JRSC controlling for age, ASA score and surgical service. MAIN RESULTS: While higher BMI was associated with a higher rate of transfer out of JRSC (p=0.014), the difference in rate was small (mean risk 0.8% for BMI 25 vs 1.3% for BMI 40, difference in risk 0.52%, 95% CI 0.05%, 1.0%). We found no evidence that higher BMI increased the risk of urgent care visits or readmissions within 30 days or outpatient LOS (p=0.7 for all). There was a statistically but not clinically significant difference in operative time for outpatient procedures (p =

BACKGROUND. Although ketorolac is an effective adjunct for managing pain in the perioperative period, it is associated with a risk of postoperative bleeding. This study retrospectively investigated the association between ketorolac use and both reoperation and postoperative opioid use among mastectomy patients. METHODS. The study identified all women undergoing mastectomy (unilaterally or bilaterally) at our ambulatory surgery cancer center from January 2016 to June 2019. The primary outcome was reoperation for bleeding on postoperative day 0 or 1, and the secondary outcome was postoperative opioid use. The association between ketorolac and outcomes was assessed using multivariable regression models. The covariates were age, body mass index, breast reconstruction, bilateral surgery, peripheral nerve block, and preoperative antiplatelet and/or anticoagulation medication. RESULTS. A cohort of 3469 women were identified. Ketorolac was given to 1549 (45 %) of the women, with 922 women (60 %) receiving 30 mg and 627 women (40 %) receiving 15 mg. The overall reoperation rate for bleeding was 3.1 % (1.8 % without ketorolac vs 4.8 % with ketorolac). In the multivariable analysis, ketorolac was associated with a higher risk of reoperation (odds ratio [OR], 2.43; 95 % confidence interval [CI], 1.60–3.70; P < 0.0001). Ketorolac also was associated with a lower proportion of patients receiving any postoperative narcotic within 24 h (15 mg: OR, 0.73; 95 % CI, 0.57–0.94; P = 0.014 vs 30 mg: OR, 0.52; 95 % CI, 0.42–0.66; P < 0.0001). CONCLUSIONS. Ketorolac use decreased postoperative opioid use, but this benefit was outweighed by the increased risk of bleeding requiring reoperation. This finding led to a change in practice at the authors’ center, with ketorolac no longer administered in the perioperative care of the mastectomy patient.

Summary According to previous studies, the life cycle energy intensity of an offshore wind farm (OWF) varies between 0.03 and 0.13 megawatt-hours (MWh) of primary energy for each MWh of electricity generated. The variation in these life cycle energy intensity studies, after normalizing for capacity factor and life span, is significantly affected by OWF location because of geographical properties, namely, wind speed and water depth. To improve OWF siting, this study investigates how an OWF's distance from shore and geographical location impacts its environmental benefit. A process-based life cycle assessment is conducted to compare 20 OWF siting scenarios in Michigan's Great Lakes for their cumulative fossil energy demand, global warming potential, and acidification potential. Each scenario (four lake locations at five offshore distances) has unique foundation, transmission, installation, and operational requirements based on site characteristics. The results demonstrate that the cumulative environmental burden from an OWF is most significantly affected by (1) water depth, (2) distance from shore, and (3) distance to power grid, in descending order of importance, if all other site-relevant variables are held constant. The results also show that when OWFs are sited further offshore, the benefit of increased wind energy generation does not necessarily outweigh the increase in negative environmental impacts. This suggests that siting OWF nearer to shore may result in a better life cycle environmental performance. Finally, we demonstrate how much an OWF's environmental burdens can be reduced if the OWF system is either recycled, transported a shorter distance, or manufactured in a region with a high degree of renewable energy on the grid.

Patients with septic shock are at increased risk of myocardial dysfunction. However, the left ventricular ejection fraction (EF) typically remains preserved in septic shock. Strain measurement using speckle-tracking echocardiography may quantify abnormalities in myocardial function not detected by conventional echocardiography. To investigate whether septic shock results in greater strain changes than sepsis alone, we evaluated strain in patients with sepsis and septic shock.We prospectively identified 35 patients with septic shock and 15 with sepsis. These patients underwent serial transthoracic echocardiograms at enrollment and 24 hours later. Measurements included longitudinal, radial, and circumferential strain in addition to standard echocardiographic assessments of left ventricular function.Longitudinal strain worsened significantly over 24 hours in patients with septic shock (P < 0.0001) but did not change in patients with sepsis alone (P = 0.43). No significant changes in radial or circumferential strain or EF were observed in either group over the 24-hour measurement period. In patients with septic shock, the significant worsening in longitudinal strain persisted after adjustment for left ventricular end-diastolic volume and vasopressor use (P < 0.0001). In patients with sepsis, adjustment for left ventricular end-diastolic volume and vasopressor use did not alter the finding of no significant differences in longitudinal strain (P = 0.48) or EF (P = 0.96).In patients with septic shock, but not sepsis, myocardial strain imaging using speckle-tracking echocardiography identified myocardial dysfunction in the absence of changes in EF. These data suggest that strain imaging may play a role in cardiovascular assessment during septic shock.

2027 Background: Early detection and management of symptoms in patients with cancer improves outcomes, however, the optimal approach to symptom monitoring and management is unknown. This pilot program uses a mobile health intervention to capture and make accessible symptom data for high-risk patients to mitigate symptom escalation. Methods: Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. A dedicated staff of RNs and nurse practitioners managed the patients remotely. The technology supporting the program included: 1) a predictive model that identified patients at high risk for a potentially preventable acute care visit; 2) a patient portal enabling daily ecological momentary assessments (EMA); 3) alerts for concerning symptoms; 4) an application that allowed staff to review and trend symptom data; and 5) a secure messaging platform to support communications and televisits between staff and patients. Feasibility and acceptability were evaluated through enrollment (goal ≥25% of new treatment starts) and response rates (completion of > 50% of daily symptom assessments); symptom alerts; perceived value based on qualitative interviews with patients and providers; and acute care usage. Results: Between October 15, 2018 and July 10, 2019, the pilot enrolled 100 high-risk patients with solid tumors and lymphoma initiating antineoplastic treatment (median age: 66 years, 45% female). This represented 29% of patients starting antineoplastics. Over six months of follow-up, the response rate to the daily assessments was 56% and 93% of patients generated a severe symptom alert (Table). Both patients and providers perceived value in the program and 5,010 symptom-related secure messages were shared between staff and enrolled patients during the follow-up period. There was a preliminary signal in acute care usage with a 17% decrease in ED visits compared to a cohort of high-risk unenrolled patients. Conclusions: This pilot program of intensive monitoring of high-risk patients is feasible and holds significant potential to improve patient care and decrease hospital resources. Future work should focus on the optimal cadence of EMAs, the workforce to support remote symptom management, and how best to return symptom data to patients and clinical teams. [Table: see text]

Purpose: The Centers for Medicare & Medicaid Services (CMS) identifies suboptimal management of treatment toxicities as a care gap and proposes the measurement of hospital performance on the basis of emergency department visits for 10 common symptoms. Current management strategies do not address symptom co-occurrence. Methods: We evaluated symptom co-occurrence in three patient cohorts that presented to a cancer hospital urgent care center in 2016. We examined both the CMS-identified symptoms and an expanded clinician-identified set defined as symptoms that could be safely managed in the outpatient setting if identified early and managed proactively. The cohorts included patients who presented with a CMS-defined symptom within 30 days of treatment, patients who presented within 30 days of treatment with a symptom from the expanded set, and patients who presented with a symptom from the expanded set within 30 days of treatment start. Symptom co-occurrence was measured by Jaccard index. A community detection algorithm was used to identify symptom clusters on the basis of a random walk process, and network visualizations were used to illustrate symptom dynamics. Results: There were 6,429 presentations in the CMS symptom-defined cohort. The network analysis identified two distinct symptom clusters centered around pain and fever. In the expanded symptom cohort, there were 5,731 visits and six symptom clusters centered around fever, emesis/nausea, fatigue, deep vein thrombosis, pain, and ascites. For patients who newly initiated treatment, there were 1,154 visits and four symptom clusters centered around fever, nausea/emesis, fatigue, and deep vein thrombosis. Conclusion: Uncontrolled symptoms are associated with unplanned acute care. Recognition of the complexity of symptom co-occurrence can drive improved management strategies.

Background Suboptimal management of cancer-related symptoms can lead to potentially preventable emergency department visits. Early detection and management of these symptoms leads to improved patient outcomes. The goal of this program is to capture symptom data on a daily cadence from patients beginning started on antineoplastic treatment and make these data available to staff who would intervene with the aim of mitigating symptom escalation. The aims of this pilot were patient acceptance of automated questionnaires, use of data by clinical staff, and integration of digital tools into workflows. Objective The objective was development and initial evaluation of a digitally enabled program to monitor and manage symptoms of cancer patients being started on treatment with antineoplastic drugs. Methods Memorial Sloan Kettering Cancer Center (MSKCC) patients being started on antineoplastic treatment were eligible for inclusion. The technology supporting the program included: (i) a predictive model identifying patients at high risk for emergency department visit in the next 6 months, (ii) a patient portal enabling symptom questionnaires to be sent to enrolled patients, (iii) an internally developed application that allows staff to review and trend symptom data, (iv) “alerts” for concerning symptoms that are sent to a dedicated team of oncology registered nurses and nurse practitioners, and (v) a secure messaging platform for communication between staff and patients. The predictive model runs nightly to identify eligible patients. Physicians review the risk information and decide whether to enroll each patient. Enrolled patients receive a daily patient-reported outcome questionnaire to capture symptoms. Alerts are generated based on the patient’s response to the symptom questions. The team reviews symptom data and interacts with the patient via phone, secure messaging, or televisits. The team collaborates with the primary oncology team as appropriate. Results The program went live in October 2018. Fifteen medical oncologists are participating in the pilot. As of June 21, 2019, 302 patients have been evaluated by the predictive model, of which 53 have been high risk and 249 have been low risk. Physicians have enrolled a total of 86 patients. Enrolled patients have completed 4198 out of 7287 symptom questionnaires, for a completion rate of 57.6%. Of the 4198 questionnaires, 1638 have generated a “red alert” (severe) symptom. Over 1200 secure messages have been exchanged between patients and staff. Lessons learned include: (i) patient acceptance of daily questionnaires has been high, (ii) the use of alerts assists the team in proactively managing participating patients, and (iii) patients and caregivers are reporting that they find the program valuable. The pilot demonstrated that daily symptom monitoring through a technology-enabled platform and a dedicated team is feasible and we are examining how the program might be scaled across our organization. Conclusions Through the use of automated symptom questionnaires and various bidirectional communication channels, remote monitoring and management of symptoms in cancer patients is feasible. This program enables providers at MSKCC to have visibility into patient symptomatology between visits and improves our understanding of the patient’s needs. The workflows of the staff monitoring the symptoms and how best to coordinate symptom management across multiple providers are areas of ongoing refinement.

IntroductionAn increasing proportion of cancer surgeries are ambulatory procedures requiring a stay of 1 day or less in the hospital. Providing patients and their caregivers with ongoing, real-time support after discharge aids delivery of high-quality postoperative care in this new healthcare environment. Despite abundant evidence that patient self-reporting of symptoms improves quality of care, the most effective way to monitor and manage this self-reported information is not known.Methods and analysisThis is a two-armed randomised, controlled trial evaluating two approaches to the management of patient-reported data: (1) team monitoring, symptom monitoring by the clinical team, with nursing outreach if symptoms exceed normal limits, and (2) enhanced feedback, real-time feedback to patients about expected symptom severity, with patient-activated care as needed.Patients with breast, gynaecologic, urologic, and head and neck cancer undergoing ambulatory cancer surgery (n=2750) complete an electronic survey for up to 30 days after surgery that includes items from a validated instrument developed by the National Cancer Institute, the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Information provided to patients in the Enhanced Feedback group is procedure-specific and based on updated PRO-CTCAE data from previous patients. Qualitative interviews are also performed. The primary study outcomes assess unplanned emergency department visits and symptom-triggered interventions (eg, nursing calls and pain management referrals) within 30 days, and secondary outcomes assess the patient and caregiver experience (ie, patient engagement, patient anxiety and caregiver burden).Ethics and disseminationThis study is approved by the Institutional Review Board at Memorial Sloan Kettering Cancer Center. The relationships between the study team and stakeholders will be leveraged to disseminate study findings. Findings will be relevant in designing future coordinated care models targeting improved healthcare quality and patient experience.Trial registration numberNCT03178045

6535 Background: Monitoring and managing patient reported outcomes (PROs) has been recommended for oncology patients on active treatment but can be time and resource intensive. Identifying patients likely to benefit and the optimal frequency of PRO capture is still under investigation. We tested the feasibility of monitoring patients who are high-risk risk for acute care with daily PROs. Methods: Using data from our institution, we developed a model that employs over 400 clinical variables to calculate a patient’s risk of an emergency room visit within 6 months following the onset of treatment. From October 15, 2018 to January 23, 2019, we enrolled patients identified as high risk through a technology-enabled program to monitor and manage those patients’ symptoms. Enrolled patients entered PRO assessments daily via an online portal. Symptoms were monitored and managed by a centralized clinical team. Tiered notifications informed the team of concerning or escalating symptoms. We assessed how frequently patients completed symptom assessments and the frequency of symptom notifications. Results: During the pilot, 28 patients were identified as high risk and enrolled in the program (median age 65; 64% percent female). Disease types were: 15 (54%) thoracic, 7 (25%) gynecologic, 6 (21%) gastrointestinal. Median time in the program was 50 (6-98) days. Patients completed 840 of 1,350 assessments (62%). There were 328 assessments that triggered moderate alerts (39%) and 220 that triggered severe alerts (26%). The table describes the prevalence of symptoms at the patient-level. Conclusions: A model can be employed to identify high-risk patients in collaboration with clinicians. Our adherence rate with a daily symptom assessment was similar to those found in studies of less frequent PRO capture. Future work will expand to a larger patient population with other cancer types, evaluate impact on outcomes, and assess optimal frequency for PRO collection and alert thresholds. [Table: see text]

6554 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for emergency department (ED) visits enables institutions to target resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established and applied a predictive framework for clinical use with attention to modeling technique, clinician feedback, and application metrics. The model employs electronic health record data from initial visit to first antineoplastic administration for patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. The final regularized multivariable logistic regression model was chosen based on clinical and statistical significance. In order to accommodate for the needs to the program, parameter selection and model calibration were optimized to suit the positive predictive value of the top 25% of observations as ranked by model-determined risk. Results: There are 5,752 antineoplastic administration starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. At the patient level, specific features determining risk are surfaced in a web application, RiskExplorer, to enable clinician review of individual patient risk. This physician facing application provides the individual risk score for the patient as well as their quartile of risk when compared to the population of new start antineoplastic patients. For the top quartile of patients, the risk for an ED visit within the first 6 months of treatment is greater than or equal to 49%. Conclusions: We have constructed a framework to build a clinically relevant risk model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.

144 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for ED visits enables institutions to target symptom management resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established a predictive analytics framework for clinical use with attention to the modeling technique, clinician feedback, and application metrics. The model employs EHR data from initial visit to first antineoplastic administration for new patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. Clinician review was performed to confirm EHR data input validity. The final regularized multivariate logistic regression model was chosen based on clinical and statistical significance. Parameter selection and model evaluation utilized the positive predictive value for the top 25% of observations ranked by model-determined risk. The final model was evaluated using a test set containing 20% of randomly held out data. The model was calibrated based on a 5-fold cross-validation scheme over the training set. Results: There are 5,752 antineoplastic starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. The 400 clinically relevant features draw from multiple areas in the EHR. For example, those features found to increase risk include: combination chemotherapy, low albumin, social work needs, and opioid use, whereas those found to decrease risk include stage 1 disease, never smoker status, and oral antineoplastic therapy. Conclusions: We have constructed a framework to build a clinically relevant model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.

Status asthmaticus (SA) is a severe, refractory form of asthma that can result in rapid respiratory deterioration and death. Treatment of SA with inhaled anesthetics is a potentially life-saving therapy, but remarkably few data are available about its mechanism of action or optimal administration. In this paper, we will review the clinical use of inhaled anesthetics for treatment of SA, the potential mechanisms by which they dilate constricted airways, and the side effects associated with their administration. We will also introduce the concept of 'targeted' delivery of these agents to the conducting airways, a process which may maximize their therapeutic effects while minimizing associated systemic side effects. Such a delivery regimen has the potential to define a rapidly translatable treatment paradigm for this life-threatening disorder.

The regional distribution of inflammation during Acute Lung Injury (ALI) is not well known. In an ovine ALI model we studied regional alveolar inflammation, surfactant composition, and CT-derived regional specific volume change (sVol) and specific compliance (sC). 18 ventilated adult sheep received IV lipopolysaccharide (LPS) until severe ALI was achieved. Blood and bronchoalveolar lavage (BAL) samples from apical and basal lung regions were obtained at baseline and injury time points, for analysis of cytokines (IL-6, Il-1 β), BAL protein and surfactant composition. Whole lung CT images were obtained in 4 additional sheep. BAL protein and IL-1 were β significantly higher in injured apical vs. basal regions. No significant regional surfactant composition changes were observed. Baseline sVol and sC were lower in apex vs. base; ALI enhanced this cranio-caudal difference, reaching statistical significance only for sC. This study suggests that apical lung regions show greater inflammation than basal ones during IV LPS-induced ALI which may relate to differences in regional mechanical events.

OBJECTIVE Modern health care systems may be inadequately prepared for mass casualty respiratory failure requiring mechanical ventilation. Current health policy has focused on the "stockpiling" of emergency ventilators, though little is known about the performance of these ventilators under conditions of respiratory failure in adults and children. In this study, we seek to compare emergency ventilator performance characteristics using a test lung simulating pediatric lung injury. DESIGN Evaluation of ventilator performance using a test lung. SETTING Laboratory. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Six transport/emergency ventilators capable of adult/child application were chosen on the basis of manufacturer specifications, Autovent 3000, Eagle Univent 754, EPV 100, LP-10, LTV 1200, and Parapac 200D. Manufacturer specifications for each ventilator were reviewed and compared with known standards for alarms and functionality for surge capacity ventilators. The delivered tidal volume, gas flow characteristics, and airway pressure waveforms were evaluated in vitro using a mechanical test lung to model pediatric lung injury and integrated software. Test lung and flow meter recordings were analyzed over a range of ventilator settings. Of the six ventilators assessed, only two had the minimum recommended alarm capability. Four of the six ventilators tested were capable of being set to deliver a tidal volume of less than 200 mL. The delivered tidal volume for all ventilators was within 8% of the nominal setting at a positive end expiratory pressure of zero but was reduced significantly with the addition of positive end expiratory pressure (range, ±10% to 30%; p < .01). All ventilators tested performed comparably at higher set tidal volumes; however, only three of the ventilators tested delivered a tidal volume across the range of ventilator settings that was comparable to that of a standard intensive care unit ventilator. CONCLUSIONS Multiple ventilators are available for the provision of ventilation to children with respiratory failure in a mass casualty scenario. Few of these ventilators possess the minimum alarm functionality and consistently deliver the prescribed tidal volume that allows for safe and effective ventilation of critically ill pediatric patients. These findings will help clinicians understand the performance and limitations of available ventilators intended for use in children.

314 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for ED visits enables institutions to target symptom management resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established a predictive analytics framework for clinical use with attention to the modeling technique, clinician feedback, and application metrics. The model employs EHR data from initial visit to first antineoplastic administration for new patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. Clinician review was performed to confirm EHR data input validity. The final regularized multivariate logistic regression model was chosen based on clinical and statistical significance. Parameter selection and model evaluation utilized the positive predictive value for the top 25% of observations ranked by model-determined risk. The final model was evaluated using a test set containing 20% of randomly held out data. The model was calibrated based on a 5-fold cross-validation scheme over the training set. Results: There are 5,752 antineoplastic starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. The 400 clinically relevant features draw from multiple areas in the EHR. For example, those features found to increase risk include: combination chemotherapy, low albumin, social work needs, and opioid use, whereas those found to decrease risk include stage 1 disease, never smoker status, and oral antineoplastic therapy. Conclusions: We have constructed a framework to build a clinically relevant model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.

e18509Background: The Centers for Medicare and Medicaid Services (CMS) has identified inappropriate management of chemotherapy side effects as a significant gap in the care of cancer patients and h...

TPS6622Background: An increasing proportion of cancer surgeries are ambulatory (≤ 1 day in hospital) procedures. Providing patients and their caregivers with ongoing, real-time support after discha...

Sepsis-related lung injury is the most common and morbid form of acute lung injury. The objective of this study was to develop an ovine model of septic acute lung injury and characterize its pathophysiology regarding its recruitability and changes in regional aeration and perfusion distributions at injury and during injury evolution.Experimental animal study.University hospital research laboratory.Adult sheep.Twenty-one anesthetized and mechanically ventilated sheep received intravenous Escherichia coli endotoxin infusion until severe hypoxemia was obtained. Inspiratory- and expiratory-gated computed tomography images of the entire lung were acquired in six subjects at baseline, during endotoxin infusion, and at injury. Perfusion images were obtained at apex and base locations at baseline and injury. Computed tomography images were analyzed for total, air, and tissue lung volumes and axial and vertical aeration and perfusion gradients. Lung recruitability was studied in a subgroup of subjects after injury.Computed tomography imaging showed a patchy, progressive decrease in air volume as injury evolved, partially replaced by an increase in tissue volume. Perfusion showed a nondependent-to-dependent gradient at baseline that remained relatively unchanged with injury. Perfusion to poorly aerated lung regions was unchanged or increased after injury. Aeration and perfusion distributions at baseline were primarily dorsal or dependent. After injury, the heterogeneity of perfusion and aeration increased and the effect of gravity decreased. Recruitment maneuvers and changes in positive end-expiratory pressure resulted in no improvement in aeration or oxygenation.The severe hypoxemia, moderate volume loss, and perfusion patterns are consistent with an injury model in which hypoxemia is exacerbated by endotoxin-mediated failure of hypoxic pulmonary vasoconstriction.

Background CT scan measures of emphysema and airway disease have been correlated with lung function in cohorts of subjects with a range of COPD severity. The contribution of CT scan-assessed airway disease to objective measures of lung function and respiratory symptoms such as dyspnea in severe emphysema is less clear. Methods Using data from 338 subjects in the National Emphysema Treatment Trial (NETT) Genetics Ancillary Study, densitometric measures of emphysema using a threshold of −950 Hounsfield units (%LAA-950) and airway wall phenotypes of the wall thickness (WT) and the square root of wall area (SRWA) of a 10-mm luminal perimeter airway were calculated for each subject. Linear regression analysis was performed for outcome variables FEV 1 and percent predicted value of FEV 1 with CT scan measures of emphysema and airway disease. Results In univariate analysis, there were significant negative correlations between %LAA-950 and both the WT ( r = −0.28, p = 0.0001) and SRWA ( r = −0.19, p = 0.0008). Airway wall thickness was weakly but significantly correlated with postbronchodilator FEV 1 % predicted (R = −0.12, p = 0.02). Multivariate analysis showed significant associations between either WT or SRWA (β = −5.2, p = 0.009; β = −2.6, p = 0.008, respectively) and %LAA-950 (β = −10.6, p = 0.03) with the postbronchodilator FEV 1 % predicted. Male subjects exhibited significantly thicker airway wall phenotypes (p = 0.007 for WT and p = 0.0006 for SRWA). Conclusions Airway disease and emphysema detected by CT scanning are inversely related in patients with severe COPD. Airway wall phenotypes were influenced by gender and associated with lung function in subjects with severe emphysema.

Rationale and Objectives For mechanical ventilation of patients with pulmonary injuries, it has been proposed that high-frequency oscillatory ventilation (HFOV) offers advantages over conventional ventilation (CV); however, these advantages have been difficult to quantify. We used volumetric, dynamic imaging of Xenon (Xe) washout of the canine lung during both HFOV and CV to compare regional ventilation in the two modalities. Materials and Methods Three anesthetized, mechanically ventilated animals were studied, each at three different ventilator settings. Imaging was performed on an experimental Toshiba 256-slice scanner at 80 kV, 250 mAs, and 0.5-second scans, yielding 12.8 cm of Z-axis coverage. Repeated images were acquired at increasing intervals between 1 and 10 seconds for 90 seconds during HFOV and using retrospective respiratory gating to end-expiration for 60 seconds during CV. Image series were analyzed to quantify regional specific ventilation (s V ˙ ) from the regional density washout time constants. Results High-quality, high-resolution regional ventilation maps were obtained during both CV and HFOV. Overall ventilation decreased at smaller tidal volume, as expected. Regional s V ˙ was more uniform during HFOV compared to CV, but the underlying distribution of lung aeration was similar. Conclusions High-resolution volumetric ventilation maps of the lung may be obtained with the 256-slice multidetector computed tomographic scanner. There is a marked difference in the distribution of regional ventilation between CV and HFOV, with a significant gravitational ventilation gradient in CV that was not present during HFOV. This technique may be useful in exploring the mechanisms by which HFOV improves gas exchange.

Advances in the treatment of patients with chronic pulmonary hypertension have greatly improved their functional status and longevity, and increasing numbers of these complex patients are presenting for elective noncardiac surgery. In this communication we will briefly review the classification and pathophysiology of pulmonary hypertension, summarize outpatient pharmacotherapy approaches, and discuss the perioperative preparation and management of these complex patients. With an understanding of the underlying pathophysiology of the disease and pharmacology of these new therapies, combined with careful perioperative planning and care, these patients can safely undergo elective surgical procedures.

Computer tomography (CT) imaging techniques permit the noninvasive measurement of regional lung function. Regional specific volume change (sVol), determined from the change in lung density over a tidal breath, should correlate with regional ventilation and regional lung expansion measured with other techniques. sVol was validated against xenon (Xe)-CT-specific ventilation (sV̇) in four anesthetized, intubated, mechanically ventilated sheep. Xe-CT used expiratory gated axial scanning during the washin and washout of 55% Xe. sVol was measured from the tidal changes in tissue density (H, houndsfield units) of lung regions using the relationship sVol = [1,000(Hi − He)]/[He(1,000 + Hi)], where He and Hi are expiratory and inspiratory regional density. Distinct anatomical markings were used to define corresponding lung regions of interest between inspiratory, expiratory, and Xe-CT images, with an average region of interest size of 1.6 ± 0.7 ml. In addition, sVol was compared with regional volume changes measured directly from the positions of implanted metal markers in an additional animal. A linear relationship between sVol and sV̇ was demonstrated over a wide range of regional sV̇ found in the normal supine lung, with an overall correlation coefficient ( R2) of 0.66. There was a tight correlation ( R2 = 0.97) between marker-measured volume changes and sVol. Regional sVol, which involves significantly reduced exposure to radiation and Xe gas compared with the Xe-CT method, represents a safe and efficient surrogate for measuring regional ventilation in experimental studies and patients.

Acute lung injury (ALI) in combination with acute kidney injury carries a mortality approaching 80% in the intensive care unit. Recently, attention has focused on the interaction of the lung and kidney in the setting of ALI and mechanical ventilation (MV). Small animal models of ALI and MV have demonstrated changes in inflammatory mediators, water channels, apoptosis, and function in the kidney early in the course of injury. The purpose of this investigation was to test the hypothesis that ALI and injurious MV cause early, measurable changes in kidney structure and function in a canine HCl aspiration model of ALI when hemodynamics and arterial blood gas tensions are carefully controlled. Intratracheal HCl induced profound ALI as demonstrated by increased shunt fraction and airway pressures compared with sham injury. Sham-injured animals had similar mean arterial pressure and arterial Pco2 and HCO3 levels compared with injured animals. Measurements of renal function including renal blood flow, urine flow, serum creatinine, glomerular filtration rate, urine albumin-to-creatinine ratio, and kidney histology scores were not different between groups. With maintenance of hemodynamic parameters and alveolar ventilation, ALI and injurious MV do not alter kidney structure and function early in the course of injury in this acid aspiration canine model. Kidney injury in large animal models may be more similar to humans and may differ from results seen in small animal models.

The macrophage migration inhibitory factor (MIF), a pro-inflammatory cytokine central to the response to endotoxemia, is a putative biomarker in acute lung injury (ALI). To explore MIF as a molecular target and candidate gene in ALI, the MIF gene and protein expression were examined in murine and canine models of ALI (high tidal volume mechanical ventilation, endotoxin exposure) and in patients with either sepsis or sepsis-induced ALI. MIF gene expression and protein levels were significantly increased in each ALI model, with serum MIF levels significantly higher in patients with either sepsis or ALI compared with healthy controls (African- and European-descent). The association of 8 MIF gene polymorphisms (single-nucleotide polymorphisms (SNPs)) (within a 9.7-kb interval on chromosome 22q11.23) with the development of sepsis and ALI in European-descent and African-descent populations was studied next. Genotyping in 506 DNA samples (sepsis patients, sepsis-associated ALI patients, and healthy controls) revealed haplotypes located in the 3' end of the MIF gene, but not individual SNPs, associated with sepsis and ALI in both populations. These data, generated via functional genomic and genetic approaches, suggest that MIF is a relevant molecular target in ALI.