Fast-track Patients Research Articles

Fast-Track Score to Predict the Feasibility of Early Extubation Post Liver Transplant

Background Over the past several years, the liver transplant community has embraced the concept of fast-tracking patients to facilitate earlier postoperative recovery. Aim Derive and validate a novel “fast-track” risk score that captures the demographic and clinical characteristics of DDLT patients to predict the likelihood of early extubation after surgery. Design Adult patients who underwent non-fulminant DDLT between January 2014 and July 2019 were included. The cohort was divided in 2 groups: patients extubated within 4 hours of surgery vs extubated after 4 h. Logistic regression was performed to identify the independent predictors of early extubation. The area under the curve (AUC) was calculated to measure the ability of the risk score to predict early extubation. The score was validated by applying coefficients of the regression model to the validation cohort and calculating the AUC. Results A total of 290 DDLT patients were included, of which 175 (60%) were in the “delayed extubation” group and 115 (40%) were in the “fast-track” group. Patients with a MELD <29, transfused <4 units of pRBCs, and transfused <5 units of FFP during surgery were 2.30 times, 5.74 times, and 3.09 times more likely to be extubated early, respectively. A risk score with an integer point scale was derived and exhibited an AUC of .80. The proportion of patients who were extubated early increased from 2.78% at a score of 0 to 66.67% at a score of 4. Conclusions The proposed score provides a fast and easy method to help identify DDLT patients suitable for early extubation.

How Super Is Supertrack? Expediting Care of Fast-track Patients through a Pediatric Emergency Department.

Fast-track models decrease patient crowding in emergency departments (EDs) by redirecting low-acuity patients to an expedited care pathway. In 2016, this institution's pediatric ED created a fast-track pathway for patients evaluated in a rapid assessment triage area who needed further management in the primary ED. This "Supertrack" designation was intended for patients requiring up to 1 hour of additional care, though means of ensuring these patients were discharged within their anticipated timeframe were lacking. We aimed to increase the percentage of Supertrack patients discharged within 1 hour of their ED bed assignment from 17% to 50%. Interventions included the creation of objective Supertrack criteria, departmental-wide progress reports, personalized reminders, intake huddles, and documentation prompts. We visualized data from Plan, Do, Study, Act (PDSA) cycles with statistical process control charts to determine special cause variation. The percentage of Supertrack patients discharged within their anticipated timeframe increased from 17% to 27% without an increase in return ED visits. The average time Supertrack patients spent in the ED decreased from 121 to 103 minutes. Personalized reminders demonstrated a significant but short-lived improvement. We improved the flow of Supertrack patients by decreasing their length of stay and increasing how many were discharged within their anticipated timeframe. Limitations included an unexpected surge in patients with respiratory complaints and staffing and structural constraints preventing the designation of a discrete Supertrack assessment space with dedicated providers. These findings are helpful for institutions seeking to develop an effective fast-track model with limited space and resources.

Abated crowding by fast-tracking the Throughput component of the ED for patients in no need of hospitalization with competency managed personnel

BackgroundEmergency department (ED) crowding is a major patient safety concern and has a negative impact on healthcare systems and healthcare providers. We hypothesized that it would be feasible to control crowding by employing a multifaceted approach consisting of systematically fast-tracking patients who are mostly not in need of a hospital stay as assessed by an initial nurse and treated by decision competent physicians.MethodsData from 120,901 patients registered in a secondary care ED from the 4tth quarter of 2021 to the 1st quarter of 2024 was drawn from the electronic health record’s data warehouse using the SAP Web Intelligence tool and processed in the Python programming language. Crowding was compared before and after ED transformation from a uniform department into a high flow (α) and a low flow (β) section with patient placement in gurneys/chairs or beds, respectively. Patients putatively not in need of hospitalization were identified by nurse, placed in in the α setting and assessed and treated by decision competent physicians. Incidence of crowding, number of patients admitted per day and readmittances within 72 h following ED admission before and after changes were determined. Values are number of patients, mean ± SEM and mean differences with 95% CIs. Statistical significance was ascertained using Student’s two tailed t-test for unpaired values.ResultsBefore and after ED changes crowding of 130% amounted to 123.8 h and 19.3 h in the latter. This is a difference of -104.6 ± 23.9 h with a 95% CI of -159.9 to -49.3, Δ% -84 (p = 0.002).There was the same amount of patients / day amounting to 135.8 and 133.5 patients / day Δ% = -1.7 patients 95% CI -6.3 to 1.6 (p = 0.21).There was no change in readmittances within 72 h before and after changes amounting to 9.0% versus 9.5%, Δ% = 0.5, 95%, CI -0.007 to 1.0 (p > 0.052).ConclusionIt appears feasible to abate crowding with unchanged patient admission and without an increase in readmittances by fast-track assessment and treatment of patients who are not in need of hospitalization.

Does Practice Match Protocol? A Comparison of Triage-to-Provider Time Among More vs. Less Acute Emergency Department Patients.

Introduction The Emergency Severity Index (ESI) stratifies emergency department (ED) patients for triage, from "most acute" (level 1) to "least acute" (level 5). Many EDs have a split flow model where less acute (ESI 4 and 5) are seen in a fast track, while more acute (ESI 1, 2, and 3) are seen in the acute care area. A core principle of emergency medicine (EM) is to attend to more acute patients first. Deliberately designating an area for less acute patients to be initially assessed quickly by a first provider might result in them being seen before more acute patients. This study aims to determine the percentage of less acute patients seen by a provider sooner after triage than more acute patients who arrived within 10 minutes of one another. Additionally, this study compares the fast track and acute care areas to see if location affects triage-to-provider time. Methods A random convenience sample of 252 ED patients aged ≥18 was taken. Patients were included if their ESI was available for the provider during sign-up. Patients were excluded if they were directly sent to the ED psychiatric area or attended to by the author. We collected data on the ESI level, time stamps for triage and first provider sign-up, and the location to which the patient was triaged (fast track vs. acute care). Paired patients' ESI levels, locations, and triage and first provider sign-up times were compared. Results The study included 126 pairs of patients. There was a statistically significant difference in triage-to-provider times for paired ESI 2 vs. 3 patients (60.5 vs. 35.5 minutes, p = 0.0007) and overall paired high- vs. low-acuity patients (55 vs. 39.5 minutes, p = 0.004). However, in 34.8% of paired ESI 2 vs. 3 patients, the ESI 3 patient was seen prior to the paired ESI 2 patient, and in 39.4% of overall paired high vs. low acuity patients, the less acute patient was seen before the more acute patient. Additionally, patients in the acute care area had significantly shorter median triage-to-provider times (~40 minutes) compared to those in the fast track area for ESI 2 (acute care) vs. ESI 3 (fast track) and overall high acuity (acute care) vs. low acuity (fast track). Nonetheless, approximately one-third of ESI 3 patients triaged to fast track were seen before ESI 2 patients triaged to the acute care area. Conclusion The split flow model reduces overall ED length of stay, improving flow volume, revenue, and patient satisfaction. However, it comes at the expense of the fundamental ethos of EM and potentially subverts the intended triage process. Although most more acute patients are seen by a provider sooner after triage than less acute patients, a substantial number are seen later, which could delay urgent medical needs and negatively impact patients' outcomes. Furthermore, patients triaged to acute care are, in general, seen sooner post-triage than identical-ESI-level fast track patients, suggesting fast track might not function as intended (for low-acuity patients to be quickly assessed and initiate diagnostic and treatment plans). We intend to follow this exploratory study with a more comprehensive, multivariate analysis that will consider confounding variables such as initial vital signs, how busy a provider was that day, etc. The future study will also examine patient outcomes to determine the impact on more acute patients of the split flow model and, in particular, on less acute patients being seen sooner by a first provider.

Analgesic Efficacy of Ultrasound-guided Fascia Iliaca Compartment Block (FICB) and Outcomes in Preoperative Fast-track Geriatric Patients with Hip Fracture: A Single-center Retrospective Study

Objective: This study aimed to evaluate the analgesic efficacy of preoperative fascia iliaca compartment block (FICB) in terms of preoperative pain score reduction in geriatric hip fracture patients. Secondary objectives were to compare opioid consumption, procedure-related complications, and patient outcomes. Materials and Methods: This single-center retrospective study included patients aged 65 or older with hip fractures who experienced moderate to severe pain in a tertiary care university hospital from January 2019 to July 2021. The variables collected for analysis were patient baseline characteristics and the pain score at rest, including during movement from the beginning of service and subsequently each morning after admission until the day of surgery. Results: A total of 439 patients were included in this study, 109 patients (24.8%) receiving preoperative FICB (FICB group). When comparing the FICB and non-FICB groups, a significant reduction in pain scores was observed on postadmission day 1, both at rest (0 [IQR=0-4] vs. 0 [IQR=0-2], p<0.001) and during movement (0 [IQR=0-4] vs. 0 [IQR=0-2], p=0.018). This difference in pain reduction persisted on day 2 during movement (3 [IQR=0-5.75] VS 0 [IQR=0-3], p=0.001). No significant differences in preoperative opioid consumption or postoperative morbidities were observed between these two groups, and no complications related to the procedure were observed. Conclusion: For patients experiencing moderate to severe preoperative pain at the beginning of treatment, preoperative FICB can reduce pain scores for up to 2 days.

Methadone in combination with magnesium, ketamine, lidocaine, and dexmedetomidine improves postoperative outcomes after coronary artery bypass grafting: an observational multicentre study

BackgroundAn optimal pharmacological strategy for fast-track cardiac anesthesia (FTCA) is unclear. This study evaluated the effectiveness and safety of an FTCA program using methadone and non-opioid adjuvant infusions (magnesium, ketamine, lidocaine, and dexmedetomidine) in patients undergoing coronary artery bypass grafting.MethodsThis retrospective, multicenter observational study was conducted across private and public teaching sectors. We studied patients managed by a fast-track protocol or via usual care according to clinician preference. The primary outcome was the total mechanical ventilation time in hours adjusted for hospital, body mass index, category of surgical urgency, cardiopulmonary bypass time and EuroSCORE II. Secondary outcomes included successful extubation within four postoperative hours, postoperative pain scores, postoperative opioid requirements, and the development of postoperative complications.ResultsWe included 87 patients in the fast-track group and 88 patients in the usual care group. Fast-track patients had a 35% reduction in total ventilation hours compared with usual care patients (p = 0.007). Thirty-five (40.2%) fast-track patients were extubated within four hours compared to 10 (11.4%) usual-care patients (odds ratio: 5.2 [95% CI: 2.39–11.08; p < 0.001]). Over 24 h, fast-track patients had less severe pain (p < 0.001) and required less intravenous morphine equivalent (22.00 mg [15.75:32.50] vs. 38.75 mg [20.50:81.75]; p < 0.001). There were no significant differences observed in postoperative complications or length of hospital stay between the groups.ConclusionImplementing an FTCA protocol using methadone, dexmedetomidine, magnesium, ketamine, lignocaine, and remifentanil together with protocolized weaning from a mechanical ventilation protocol is associated with significantly reduced time to tracheal extubation, improved postoperative analgesia, and reduced opioid use without any adverse safety events. A prospective randomized trial is warranted to further investigate the combined effects of these medications in reducing complications and length of stay in FTCA.Trials registrationThe study protocol was registered in the Australian New Zealand Clinical Trials Registry (https://www.anzctr.org.au/ACTRN12623000060640.aspx, retrospectively registered on 17/01/2023).

Machine Learning and External Validation of the IDENTIFY Risk Calculator for Patients with Haematuria Referred to Secondary Care for Suspected Urinary Tract Cancer

BackgroundThe IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual’s cancer risk, it proposes thresholds to stratify them into very-low-risk (<1%), low-risk (1–<5%), intermediate-risk (5–<20%), and high-risk (≥20%) groups. ObjectiveTo externally validate the IDENTIFY haematuria risk calculator and compare traditional regression with machine learning algorithms. Design, setting, and participantsProspective data were collected on patients referred to secondary care with new haematuria. Data were collected for patient variables included in the IDENTIFY risk calculator, cancer outcome, and TNM staging. Machine learning methods were used to evaluate whether better models than those developed with traditional regression methods existed. Outcome measurements and statistical analysisThe area under the receiver operating characteristic curve (AUC) for the detection of urinary tract cancer, calibration coefficient, calibration in the large (CITL), and Brier score were determined. Results and limitationsThere were 3582 patients in the validation cohort. The development and validation cohorts were well matched. The AUC of the IDENTIFY risk calculator on the validation cohort was 0.78. This improved to 0.80 on a subanalysis of urothelial cancer prevalent countries alone, with a calibration slope of 1.04, CITL of 0.24, and Brier score of 0.14. The best machine learning model was Random Forest, which achieved an AUC of 0.76 on the validation cohort. There were no cancers stratified to the very-low-risk group in the validation cohort. Most cancers were stratified to the intermediate- and high-risk groups, with more aggressive cancers in higher-risk groups. ConclusionsThe IDENTIFY risk calculator performed well at predicting cancer in patients referred with haematuria on external validation. This tool can be used by urologists to better counsel patients on their cancer risks, to prioritise diagnostic resources on appropriate patients, and to avoid unnecessary invasive procedures in those with a very low risk of cancer. Patient summaryWe previously developed a calculator that predicts patients’ risk of cancer when they have blood in their urine, based on their personal characteristics. We have validated this risk calculator, by testing it on a separate group of patients to ensure that it works as expected. Most patients found to have cancer tended to be in the higher-risk groups and had more aggressive types of cancer with a higher risk. This tool can be used by clinicians to fast-track high-risk patients based on the calculator and investigate them more thoroughly.

Fast track to stroke unit for patients not eligible for acute intervention, a case–control register study on 1066 patients

Stroke patients not eligible for acute intervention often have low priority and may spend long time at the emergency department (ED) waiting for admission. The aim of this retrospective case–control register study was to evaluate outcomes for such “low priority” stroke patients who were transported via Fast Track directly to the stroke unit, according to pre-specified criteria by emergency medical service (EMS). The outcomes of Fast Track patients, transported directly to stroke unit (cases) were compared with the outcomes of patients who fulfilled these critera for Fast Track, but instead were transported to the ED (controls). In all, 557 cases and 509 controls were identified. The latter spent a mean time of 237 min in the ED before admission. The 90-day mortality rate was 12.9% for cases and 14.7% for controls (n.s.). None of the secondary outcome events differed significantly between the groups: 28-day mortality rate; death rate during hospitalisation; proportion of pneumonias, falls or pressure ulcers; or health-related outcomes according to the EQ-5D-5L questionnaire. These findings indicates that the Fast Track to the stroke unit by an EMS is safe for selected stroke patients and could avoid non-valuable time in the ED.

Reducing time toxicity: Impact of a fast-track infusion pathway on overall wait-times and patient satisfaction at a large safety-net health system.

386 Background: Time toxicity is an emerging concept focusing on the impact of cancer care beyond traditionally measured outcomes: the time spent towards receiving care. Although the inherent complexity of cancer care can pose a challenge to improve time toxicity, addressing system and workflow inefficiencies through process improvement is an effective mitigation strategy. Here we present the impact of a fast-track infusion pathway on the wait-times and patient satisfaction at a large safety-net system. Methods: Parkland Health (PH) is the safety-net system for Dallas County, TX. The PH oncology infusion center supports cancer disciplines and other subspecialties. Factors such as timely patient arrivals, preference for coupled visits and same-day lab draws, and heterogeneity of treatments (medicine specialties vs. oncology) significantly impact wait times. In July 2022, a multidisciplinary team was formed to reduce wait times at the infusion center, including members who had previously participated in the ASCO Quality Training Program (QTP). This report is focused on developing a fast-track pathway for patients with injections or &lt;30-minute infusions. Patients with coupled appointments and same-day lab draws were eligible for fast-track. Wait times were calculated from the time patients were checked in at the front desk to the first medication administered. A dedicated team (RN and MA) and separate waiting areas/infusion bays were designated for fast-track patients. Fast-track patients were surveyed for satisfaction. Results: Baseline infusion volume for the 3 months prior to fast-track implementation was 106 patients per day with average wait time of 167 minutes. In the seven-month period after fast-track implementation, average daily fast-track and main infusion center combined volume was 115. The first PDSA cycle was focused on improving workflows and communication with pharmacy. In the second PDSA cycle, the fast-track infusions were moved to another area to infusion chairs to better patient flow. In May 2023, average volumes and wait times for fast-track and main infusion were 28/80 minutes and 87/107 minutes, respectively. This represents a 40% decrease in wait time for fast-track and 36% for main infusion. In our survey, 89% of fast-track patients reported their wait time to be shorter and 92% rated their experience good or excellent. Conclusions: Implementing and optimizing a separate process for short treatments reduced the wait times for both the short infusions (fast-track) as well as long infusions (main infusion) without a need for additional staff, infusion chairs, or space. The observed decrease in main infusion wait-time is likely the result of decongestion of their process by moving some of the volume to fast-track. We hope to further decrease our wait-times through additional PDSA cycles and leveraging process improvement methodology.

Perioperative optimization and profitability (POP) in a high-volume bariatric surgery center.

Currently, bariatric surgery is the most effective long-term treatment of obesity. Sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are the primary types of bariatric surgery performed worldwide. To minimize the risks of surgical complications and optimize cost-effectiveness, it is essential to develop fast-track protocols and patient logistics. At Aleris Hospitals in Denmark, a fast-track methodology in bariatric surgery has been implemented and continuously optimized over the last 15years. The main objective was to demonstrate timelines recorded during one consecutive year in a fast-track, high-volume bariatric surgery setting after logistic optimization. This study included 949 consecutive patients who had undergone primary bariatric surgery in 2021. The primary outcomes were length of hospital stay and perioperative timeline recordings that were prospectively collected. The secondary outcomes were mortality, complication rates, and weight loss data. The vast majority of our patients (99.1%) were discharged from the hospital within the day after surgery. The median total surgery time was 30min, after 12min of patient preparation and with a turnover time between patients of seven min. The median knife-to-knife time in one operating room was 56min. Mortality was zero, 30-day reoperation rate was 1.2%, and 30-day readmission rate was 0.8%. SG and RYGB patients had an excess weight loss after four months of 45.6% and 57.9%, respectively. Implementation of fast-track principles in the clinical practice of bariatric surgery allows for an optimized, cost-effective surgical organization supporting the quality of procedures and patient safety.

Modern Paediatric Emergency Department: Potential Improvements in Light of New Evidence

The increasing attendance of paediatric emergency departments has become a serious health issue. To reduce an elevated burden of medical errors, inevitably caused by a high level of stress exerted on emergency physicians, we propose potential areas for improvement in regular paediatric emergency departments. In an effort to guarantee the demanded quality of care to all incoming patients, the workflow in paediatric emergency departments should be sufficiently optimised. The key component remains to implement one of the validated paediatric triage systems upon the patient’s arrival at the emergency department and fast-tracking patients with a low level of risk according to the triage system. To ensure the patient’s safety, emergency physicians should follow issued guidelines. Cognitive aids, such as well-designed checklists, posters or flow charts, generally improve physicians’ adherence to guidelines and should be available in every paediatric emergency department. To sharpen diagnostic accuracy, the use of ultrasound in a paediatric emergency department, according to ultrasound protocols, should be targeted to answer specific clinical questions. Combining all mentioned improvements might reduce the number of errors linked to overcrowding. The review serves not only as a blueprint for modernising paediatric emergency departments but also as a bin of useful literature which can be suitable in the paediatric emergency field.

Venous thromboembolism is rare after total hip and knee joint arthroplasty with long thromboprophylaxis in Finnish fast-track hospitals

IntroductionPharmacological thromboprophylaxis effectively prevents venous thromboembolism (VTE) after total knee (TKA) and total hip arthroplasty (THA). Less is known about the influence of fast-track arthroplasty on VTE risk. We conducted a register-based study to determine the incidence of VTE after fast-track TKA and THA in Finland using long thromboprophylaxis.Materials and methodsAll primary TKAs and THAs operated during 2015–2016 in 3 fast-track hospitals were identified from the Finnish Arthroplasty Register. Pulmonary embolism (PE) and deep vein thrombosis (DVT) diagnosed in this patient cohort within 90 days of surgery were identified from the Finnish Hospital Discharge Register. The recommended length of thromboprophylaxis was 10 to 14 days for TKA and 28 days for THA during study period.ResultsDuring the study period, 3 831 THAs, 4 394 TKAs and 286 bilateral TKAs (BTKAs) were performed. Of all these patients, 60% were females. Venous thromboembolism (VTE) incidence within 90 days of surgery was 0.3% (95% CI 0.2–0.4). These VTEs comprised 10 PEs and 15 DVTs. None of the VTE patients´ died within the 90-day period.ConclusionVTE incidence is low in Finnish fast-track TKA and THA patients with long thromboprophylaxis.

Comprehensive patient education and counselling for non-communicable diseases in primary care, Western Cape.

Treatment of non-communicable diseases (NCD) requires patient education and counselling (PEC). Initiatives have focused on Group Empowerment and Training (GREAT) for diabetes and Brief behaviour change counselling (BBCC). However, the implementation of comprehensive PEC in primary care remains a challenge. The aim of this study was to explore how such PEC could be implemented. This was a descriptive, exploratory, qualitative study at the end of the first year of a participatory action research project to implement comprehensive PEC for NCDs at two primary care facilities in the Western Cape. Focus group interviews were held with healthcare workers and reports from co-operative inquiry group meetings were used as qualitative data. Staff were trained in GREAT for diabetes and BBCC. There were problems with training appropriate staff and sufficient numbers and a need for ongoing support. Implementation was limited by poor internal sharing of information, staff turnover and leave, rotation of staff, lack of space and fears of disrupting the efficiency of service delivery. Facilities had to embed the initiatives into appointment systems and fast track patients who attended GREAT. For those patients that were exposed to PEC, there were reported benefits. Group empowerment was feasible to introduce, while BBCC was more challenging as it required extra time in the consultation.Contribution:Implementation of PEC requires alternative approaches that do not extend consultations (such as GREAT and maybe digital solutions) as well as commitment to facility organisation for PEC from managers.

The Rossy Progressive Supranuclear Palsy Centre: Creation and Initial Experience.

To describe the development and initial experience of a clinical research program in progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS) in Canada: The Rossy PSP Centre, to share the data acquisition tools adopted, and to report preliminary results. Extensive demographic and longitudinal clinical information is collected every 6 months using standardized forms. Biofluids are collected for biobanking and genetic analysis, and many patients are enrolled in neuroimaging research protocols. Brain donation is an important component of the program, and standardized processing protocols have been established, including very short death to autopsy times in patients undergoing medical assistance in dying. Between Oct 2019 and Dec 2021, 132 patients were screened, 91 fulfilling criteria for PSP and 19 for CBS; age 71 years; 41% female; duration 5 years, age-of-onset 66 years. The most common symptoms at onset were postural instability and falls (45%), cognitive-behavioral changes (22%), and Parkinsonism (9%). The predominant clinical phenotype was Richardson syndrome (82%). Levodopa and amantadine resulted in partial and short-lasting benefit. The Rossy PSP Centre has been established to advance clinical and basic research in PSP and related tauopathies. The extent of the clinical data collected permits deep phenotyping of patients and allows for future clinical and basic research. Preliminary results showed expected distribution of phenotypes, demographics, and response to symptomatic treatments in our cohort. Longitudinal data will provide insight into the early diagnosis and management of PSP. Future steps include enrollment of patients in earlier stages, development of biomarkers, and fast-tracking well-characterized patients into clinical trials.

The Effect of Analgesia in Fast Track Pediatric Cardiac Patient

Background: Rapid tracheal extubation after cardiac surgery is not novel. "Fast-track management" has gained popularity in recent years, and the provision of cost-effective treatment is now included in with other factors as a means of assessing the success of various surgical procedures. Objective: In this study our main goal is to evaluate the effect of Analgesia in fast track pediatric cardiac patient. Method: This retrospective study was done at Bangladesh Shishu Hospital and Institute, Bangladesh, from January 2021 to January 2022. A total of 100 patients considered suitable for fast-track care were selected prior to surgery. The criteria for the selection of fast-track patients included low- risk cardiac surgery and the absence of other associated complex defects, either a weight over 10 kg or at least 6 months of age, the absence of complex non-cardiac issues and no significant history of repeat chest infections or obstructive airway disease. Results: during the study, mean age group was 5.7 years, followed by 55 cases were male, mean weight was 15.5 kg. 50% had a trial septal defect followed by 15% Ventricular septal defect, 11% Partial anomalous pulmonary, 9% congenital sabaortic stenosis, 10% had Atrioventricular septal defect. While reviewing post-operative faces pain score in day-1, 15% had no hurts followed by 60% had hurts a little bit, 10% had hurts more, 5% had hurts even more, 5% had hurts whole lot, 5% had hurts worst In day-2 25% had no hurts, 50% had hurts a bit, 12% had hurts a little more, 6% had hurts even more. In day-3 40% had no hurts, 40% had hurts a little bit, 20% had hurts little more. However, in day-4 15% had hurts little bit and 10% had hurts little more. In addition, 90% of the patients had between excellent and satisfactory analgesia. Moreover, 48% had vomiting and 2% had itching. Conclusion: The treatment of congenital heart disease after surgery is projected to become more reliant on "fast-track" care as the healthcare system ....

Improving equity in access to early diagnosis of cancer in different healthcare systems of Latin America: protocol for the EquityCancer-LA implementation-effectiveness hybrid study

IntroductionHealthcare fragmentation, a main cause for delay in cancer diagnosis and treatment, contributes to high mortality in Latin America (LA), particularly among disadvantaged populations. This research focuses on integrated care...

Fast-Track Nonelective Laparoscopic Cholecystectomy is Safe and Feasible

IntroductionAmple evidence exists to support the safety of fast-track discharge after elective laparoscopic cholecystectomy (LC), but there is currently no data available to support the safety of fast-tracking patients undergoing nonelective LC. We sought to determine whether fast-tracking patients undergoing nonelective LC is safe and feasible. MethodsWe performed a retrospective cohort review of 661 consecutive patients undergoing LC at a single teaching institution from April 2018 to January 2020. Subjects were divided into two groups: elective LC (ELC) and fast-track nonelective LC (FTLC). FTLC was defined as nonelective LC with total length of stay <36 h. Patients undergoing nonelective LC with length of stay exceeding 36 h were excluded. The primary outcome of interest was readmission within 30 d. The secondary outcomes included incidences of return to emergency department within 30 d, retained stone, bile leak, and wound infection. ResultsOf 661 LC, 185 (27%) were ELC and 476 (72%) were nonelective. FTLC included 121 (25%) of the nonelective LC. Preoperative characteristics were similar among the groups. On final pathology, chronic cholecystitis was predominant in both groups, but FTLC exhibited higher rates of acute cholecystitis (P < 0.0001). There was no significant difference in the primary outcome among groups: readmission within 30 d occurred in 6 (3%) ELC patients and 4 (3%) FTLC patients (P = 1.0). There were no significant differences in rates of return to emergency department within 30 d, retained stone, bile leak, or wound infection. ConclusionsWith comparable postoperative complication rates to ELC, FTLC can be safely used in select patients. Additional studies are needed to determine preoperative predictors of FTLC suitability to prospectively identify appropriate patients.

1.51 Persistent Racial Healthcare Disparities in Psychiatric Services

Black and Hispanic children are less likely to receive psychiatric services when compared to White children due to factors such as financial and cultural barriers, underdiagnosis, and poor cultural competence in healthcare workers. Our State University of New York (SUNY) Upstate Medical University outpatient clinic is working to reduce these disparities by: decreasing the intake packet completion time and process, working more closely with hospital teams to fast-track higher acuity patients, and increasing mental health providers who identify as people of color.

Predictors of early discharge after transcatheter aortic valve implantation: insight from the CoreValve ClinicalService.

The aim of this study was to minimize the procedure, and reduce the length of hospital stay (LoS) is the future objective for transcatheter aortic valve replacement (TAVI).Aims of the study are to identify procedural and electrocardiographical predictors of fast-track discharge in patients who underwent TAVI. Patients treated with TAVI included in the One Hospital ClinicalService project were categorized according to the LoS. 'Fast-Track' population, with a postprocedural LoS less than or equal to 3 days, was compared with the 'Slow-Track' population with a postprocedural LoS greater than 3 days. One thousand five hundred and one patients were collected. Despite single baseline characteristics being almost similar between the two groups, Slow-Track group showed a higher surgical risk (P < 0.001). Patients in the Slow-Track group were more frequently treated with general anaesthesia (P = 0.002) and less frequently predilated (P < 0.001) and received a lower amount of contrast media. No difference between Slow-Track and Fast-Track patients was observed at 30 days in death and in cardiovascular rehospitalization.In the multivariable analysis, STS score of at least 4% [odds ratio (OR): 1.64; P = 0.01], general anaesthesia (OR: 2.80; P = 0.03), predilation (OR: 0.45; P < 001), NYHA 3-4 at baseline (OR: 1.65; P = 0.01), AVB I/LBBB/RBBB onset (OR: 2.41; P < 0.001) and in-hospital new PM (OR: 2.63; P < 0.001) were independently associated with a higher probability of Slow-Track. Fast-Track patients were safely discharged home showing no difference in clinical outcomes after discharge up to 30 days compared with the Slow-Track group. The STS score, general anaesthesia, NYHA 3--4 at baseline, in-hospital onset of conduction disturbances and new PM implantation after TAVI turned out to be predictors of Slow-Track.

Effects of OT Interventions to Improve Sleep After Fast-Track Joint Replacement Surgery: Quasi-Experimental Study

Abstract Date Presented 04/01/2022 The presentation will provide comprehensive resources about sleep deprivation among fast-track joint replacement surgical patients. It will discuss various assessment tools to measure quality and quantity of sleep and occupation-based interventions to improve sleep and occupational performance among postsurgical patients in acute care hospitals. Primary Author and Speaker: Manisha Sheth