Impact of Preoperative Malnutrition on Patients with Pancreatic Neoplasms Post-Duodenopancreatectomy: A Retrospective Cohort Study.

BACKGROUND: Preoperative malnutrition is a significant factor in patients with pancreatic tumors undergoing pancreaticoduodenectomy. The aim of this study was to assess the association between preoperative malnutrition and delayed discharge within a ten-day timeframe and potential correlations between preoperative malnutrition and postoperative surgical complications. METHODS: A retrospective cohort study was conducted, recruiting a final sample of 79 patients with benign or malignant cephalic pancreatic tumors from 2015 to 2022. The risk of malnutrition was assessed using the Malnutrition Universal Screening Tool, while length of hospital stay and relevant clinical data were extracted from clinical documentation. RESULTS: The preoperative malnutrition risk was high in 21.52% of the sample, moderate in 36.71%, and low in 41.77%. Body mass index (BMI) (p = 0.007) and postoperative surgical complications (p < 0.001) were significantly correlated with delayed discharge. No statistically significant differences were found between levels of malnutrition risk and delayed discharge (p = 0.122), or postoperative surgical complications (p = 0.874). CONCLUSIONS: Postoperative complications and BMI emerge as significant risk factors. The limited sample size may have compromised the collection of homogeneous and significant data. Future studies should evaluate the implementation of personalized nutritional screening tools, nutritional assessment plans, and the involvement of specialized health professionals.

Involuntary discharge from drug or alcohol treatment programs in Vancouver, Canada.

BACKGROUND: Retention in substance use treatment is essential to treatment success. While programmatic factors are known to influence retention, less is known about the role of involuntary discharges from drug or alcohol treatment programs. Therefore, we sought to identify the prevalence of and factors associated with involuntary discharge due to ongoing substance use. METHODS: Data were derived from two community-recruited prospective cohort studies of people who use drugs in Vancouver, Canada. Generalized estimating equation (GEE) analyses were used to identify variables associated with involuntary discharge from treatment programs due to ongoing substance use. RESULTS: Between June 2017 and March 2020, 1487 participants who accessed substance use treatment and completed at least one study interview were included in this study. Involuntary discharge from a treatment program due to ongoing substance use was reported by 41 (2.8%) participants throughout the study, with 23 instances reported at baseline and another 18 reported during study follow-up. In a multivariable GEE analysis, involuntary discharge was positively associated with homelessness (Adjusted Odds Ratio [AOR] = 3.22, 95% Confidence Interval [95% CI]: 1.59-6.52), daily injection drug use (AOR = 1.87, 95% CI 1.06-3.32) and recent overdose (AOR = 2.50, 95% CI 1.38-4.53), and negatively associated with age (AOR = 0.93, 95% CI 0.90-0.96). In sub-analyses, participants have most commonly been discharged from in-patient treatment centres (52.2%), recovery houses (28.3%) and detox programs (10.9%), and for using heroin (45.5%) and/or crystal methamphetamine (36.4%). CONCLUSIONS: While involuntary discharge was a relatively rare occurrence, those who were discharged due to active substance use possessed several markers of risk, including high-intensity injection drug use, homelessness, and recent non-fatal overdose. Our findings highlight the need for increased flexibility within treatment programs to account for those who re-initiate or continue to use substances during treatment.

Newborn readmissions and virtual primary care delivery: a population-based case-control study.

BACKGROUND: Early post-discharge assessments for newborns are recommended. Virtual care has become more prevalent during the pandemic, providing an opportunity to better understand its impact on the quality of post-discharge newborn care. The objective of this study was to understand whether primary care visit modality (in-person vs. virtual) is associated with early newborn hospital readmissions and emergency department (ED) visits. METHODS: We conducted a population-based, case-control study using linked health administrative databases between September 1, 2020 and March 31, 2022 in Ontario, Canada. We compared the modality of primary care visits among cases (hospital readmission within 14 days of life) and controls (newborns without a readmission), matched on infant sex, gestational age, and maternal parity. We included an alternative definition of cases as a composite of either a newborn hospital readmission or emergency department (ED) visit or in-hospital death within the first 14 days of life. Conditional logistic regression models were used to model odds ratios (ORs), comparing those exposed to a virtual visit versus in-person visit, adjusting for infant birth weight, birth hospitalization length of stay, neighbourhood level material deprivation, rurality and presence of active maternal comorbidities. RESULTS: Among 73,324 eligible newborns, 2,220 experienced a hospital readmission within 14 days of life and were matched to 8,880 controls. Jaundice was the primary reason for readmission (75% of readmissions). Compared to newborns who were seen in-person post-discharge, newborns who were seen virtually had higher odds of hospital readmission (adjusted odds ratio [aOR] 1.41 (95% CI 1.09, 1.83); the magnitude of effect was not different using the composite outcome (aOR 1.35, 95% CI 1.05, 1.75). CONCLUSIONS: Newborns who receive a virtual post-discharge visit are more likely than those who receive an in-person visit to require hospital readmission.

Factors Associated with Discharge Destination in Patients with Bone Metastases.

Background and Objectives: The discharge destination of patients with advanced cancer correlates with their quality of life. Patients with bone metastases often undergo lifestyle changes owing to pain and activity limitations. However, there are few reports on factors related to the discharge destination of patients with bone metastases. This study aimed to elucidate the factors associated with the discharge destination of patients with bone metastases. Methods: This study included 278 patients diagnosed with bone metastases who were admitted to the University of Tsukuba Hospital between April 2015 and March 2020. This study examined discharge destination, occurrence of skeletal-related events (SREs), primary lesions, locations of bone metastases, functional ambulation categories (FAC), age, and length of hospital stay. A binomial logistic regression analysis was conducted to compare the home and non-home discharge groups. Results: Of the 278 patients, 142 were discharged to home, 89 were discharged to somewhere other than home (non-home), and 47 died. The discharge destination was associated with spinal cord compression (SCC) (odds ratio [OR] 3.37, 95% confidence interval [CI] 1.35-8.43), hypercalcemia (OR 6.84, 95% CI 1.09-42.76), and FAC at admission (OR 0.45, 95% CI 0.35-0.58). The admission FAC cut-off value for discharge to home was determined to be 1.5 (area under the curve [AUC] 0.79, sensitivity 77.5%, specificity 68.5%). Conclusions: Factors associated with discharge destination were identified. The walking ability required for discharge to home was FAC 1.5, meaning that the patient needed one person to assist in preventing falls when walking on level ground. A cut-off value for FAC on admission for predicting outcomes was identified, suggesting the importance of gait ability assessment on admission.

Postdischarge opioid use after lumbar spine surgery among older adults in Ontario: a population-based cohort study.

BACKGROUND: Prescription opioid use places a considerable economic burden on health care systems. Older patients undergoing surgical procedures for painful conditions commonly receive opioids pre- and postoperatively, and are susceptible to adverse reactions. This study explores predictors of prolonged postoperative opioid use among older patients after lumbar spine surgery and the consequences in terms of health care utilization and costs. METHODS: We conducted a retrospective population-based cohort study using Ontario administrative data from older adults undergoing spine surgery between 2006 and 2017. Data were analyzed from 90 days preoperatively to 1 year after hospital discharge, with last postoperative opioid prescriptions stratified into 90-day increments. We used multivariable ordinal logistic regression to identify predictors of long-term opioid use and generalized linear modelling to examine resource utilization and health care costs (2021 Canadian dollars). RESULTS: Of 15 109 patients included, 40.8% received preoperative opioid prescriptions. Preoperative opioid use strongly predicted prolonged postoperative use (odds ratio [OR] 4.47, 95% confidence interval [CI] 4.16-4.79), with 48.3% of patients who received preoperative opioids continuing to use opioids for longer than 9 months, relative to 12.7% of those without preoperative use. Several other risk factors for prolonged use were identified. Patients receiving long-term postoperative opioids incurred greater health care costs relative to those with opioids prescribed for fewer than 90 days (OR 1.49, 95% CI 1.44-1.54). CONCLUSION: Among older adults undergoing spine surgery, preoperative opioid use was a strong predictor of prolonged postoperative use, which was associated with increased health care costs. These results form an important baseline for future studies evaluating strategies to reduce opioid use targeting older surgical populations.

Discharge process for patients experiencing homelessness in the emergency department: A thematic qualitative study.

People experiencing homelessness are more likely to utilize emergency departments than their non-homeless counterparts. However, obtaining a bed in a homeless shelter for patients can be complex. To better understand the challenges of finding a safe discharge plan for homeless patients in the emergency department, our team conducted interviews with emergency department social workers and homeless shelter case managers in the Boston area. We identified and mapped the stages in the processes performed by both parties, identifying challenges with successful placement into a shelter. Furthermore, we assembled a data dictionary of key factors considered when assessing a patient's fit for a homeless shelter. By identifying bottlenecks and areas of opportunity, this study serves as a first step in enabling homeless individuals to receive the post-discharge assistance they require.

[Medico-economic evaluation of the PRADO-BPCO post-exacerbation support program]. / Évaluation médicoéconomique du PRADO-BPCO, programme d'accompagnement post-exacerbation.

INTRODUCTION: The "Programme d'Accompagnement du retour à Domicile" (PRADO) COPD is a home discharge support program dedicated to organizing care pathways following hospitalization for COPD exacerbation. This study aimed at assessing its medico-economic impact. METHODS: This was a retrospective database study of patients included in the PRADO BPCO between 2017 and 2019. Data were extracted from the National Health Data System. A control group was built using propensity score matching. Morbi-mortality and costs (national health insurance perspective) were measured during the year following hospitalization. RESULTS: While the proportion of patients with a care pathway complying with recommendations from the National Health Authority was higher in the PRADO group, there was no significant effect on mortality and 12-month rehospitalization. In the PRADO group, the rehospitalization rate was lower when the care pathway was optimal. Healthcare costs per patient were 670 € higher in the PRADO group. CONCLUSIONS: The PRADO COPD improves quality of care but without decreasing rehospitalizations and mortality, although rehospitalizations did decrease among PRADO group patients benefiting from an optimal care pathway.

VExUS Score at Discharge as a Predictor of Readmission in Patients with Acute Decompensated Heart Failure: A Cohort Study. / Escore VExUS na Alta Hospitalar como Preditor de Readmissão em Pacientes com Insuficiência Cardíaca Agudamente Descompensada: Estudo de Coorte.

BACKGROUND: Residual venous congestion is a major contributor to readmission of patients with heart failure, and the venous excess ultrasound (VExUS) score is a potentially useful tool to evaluate systemic congestion. OBJECTIVES: To investigate the association between VExUS score before hospital discharge among patients with heart failure and the risk of readmission due to acute decompensated heart failure (ADHF) within 90 days after discharge. METHODS: This prospective cohort study enrolled adults with signs and symptoms of ADHF, left ventricular ejection fraction of 40% or below (heart failure with reduced ejection fraction), New York Heart Association functional class II to IV symptoms, and clinical evidence of venous congestion necessitating intravenous diuretics. Just prior to discharge, we conducted VExUS score evaluation. The primary outcome was a composite endpoint of readmission or emergency visits due to ADHF within 90 days following hospital discharge. Statistical significance was set at p < 0.05. RESULTS: The cohort comprised 49 individuals, 11 (22.4%) of whom experienced the primary outcome. At discharge, 34.7% of participants had VExUS score 2 or 3. Patients with VExUS 2 and 3 had a higher proportion of the primary outcome when compared with patients with VExUS of 0 (35.3% versus 9%, p = 0.044). CONCLUSIONS: A significant proportion of patients with heart failure with reduced ejection fraction admitted for ADHF presented clinical and ultrasound signs of residual congestion at discharge. Patients with VExUS score of 2 or 3 at the time of hospital discharge were found to be at higher risk of readmissions or emergency visits due to ADHF after 90 days.

FUNDAMENTO: A congestão venosa residual é um dos principais contribuintes para a readmissão de pacientes com insuficiência cardíaca, e o escore de ultrassonografia de excesso venoso (VExUS) é uma ferramenta potencialmente útil para avaliar a congestão sistêmica. OBJETIVOS: O objetivo do presente estudo foi investigar a associação entre o escore VExUS antes da alta hospitalar em pacientes com insuficiência cardíaca e o risco de readmissão por insuficiência cardíaca agudamente descompensada (ICAD) em até 90 dias após a alta. MÉTODOS: O presente estudo de coorte prospectivo envolveu adultos com sinais e sintomas de ICAD, fração de ejeção do ventrículo esquerdo de 40% ou menos (insuficiência cardíaca com fração de ejeção reduzida), sintomas de classe funcional II a IV da New York Heart Association e evidência clínica de congestão venosa necessitando de diuréticos intravenosos. Momentos antes da alta, realizamos avaliação do escore VExUS. O desfecho primário foi um desfecho composto de readmissão ou visitas de emergência devido à ICAD dentro de 90 dias após a alta hospitalar. A significância estatística foi estabelecida em p < 0,05. RESULTADOS: A coorte foi composta por 49 indivíduos, dos quais 11 (22,4%) apresentaram o desfecho primário. Na alta, 34,7% dos participantes tiveram escore VExUS de 2 ou 3. Os pacientes com VExUS de 2 e 3 tiveram maior proporção do desfecho primário quando comparados aos pacientes com VExUS de 0 (35,3% versus 9%, p = 0,044). CONCLUSÕES: Uma proporção significativa de pacientes com insuficiência cardíaca com fração de ejeção reduzida admitidos por ICAD apresentou sinais clínicos e ultrassonográficos de congestão residual na alta. Pacientes com escore VExUS de 2 ou 3 no momento da alta hospitalar apresentaram maior risco de readmissões ou visitas de emergência por ICAD após 90 dias.

Parental reports of hospital- and community-based follow-up services, self-efficacy, and symptoms of depression a few months after discharge of a prematurely born child.

BACKGROUND: Many parents report the transition from hospital to home as challenging after the birth of a preterm-born child. This study investigates parental perceptions of community-based follow-up services after hospital discharge, alterations in parental self-efficacy during the early months at home, the prevalence of depressive symptoms among parents, and the relationship between these factors and both NICU experiences and children's regulative behaviors. METHODS: In this second phase of a descriptive study, 110 parents returned a digital questionnaire when their child was four months corrected for prematurity. Parents were recruited while hospitalized with their child, in one of eight Norwegian neonatal intensive care units (NICUs). Thus, the study provides insight into follow-up services across a broad geographical range. Parents' perception of self-efficacy was reported on the Karitane Parenting Confidence Scale, and depressive symptoms were evaluated with the Edinburgh Postnatal Depression Scale (EPDS). Children's regulative behavior was reported on the 6-month version of the Ages and Stages Questionnaire: Social and Emotional (ASQ: SE). Using SPSS, associations between variables were investigated in multiple regression analysis in addition to descriptive analysis. Additionally, the examination of repeated measures of parental self-efficacy involved the application of linear mixed models. RESULTS: Parents reported improved perception of self-efficacy from postdischarge to the children's age of four months (F (1,167) = 1233.2, p < 0.001). On average, fathers' self-efficacy improved more than that of mothers. Parents' perception of being well informed prior to discharge from hospital predicted improved self-efficacy (F [1, 29] = 10.4, p = 0.003). Reports of depressive symptoms were at a similar level as previously reported among new parents, as 10.4% of mothers and 6.7% of fathers reported EPDS scores ≥ 10 points. Parents' reports on ASQ: SE show that 15% of the children scored above the recommended cutoff score for three- to nine-month-old children. The parent-reported benefit of follow-up services showed considerable variation. The importance of specific knowledge about prematurity among public health nurses and physicians was frequently mentioned, and public health nurses were perceived as coordinators and mediators of various services. CONCLUSIONS: Parents reported improved self-efficacy, and depressive symptoms at similar levels as new parents in general, a few months after discharge from hospital. Childrens' regulatory behavior were reported at levels comparable with term-born infants.

Morbidity and unplanned healthcare encounters after hospital discharge among young children in Dar es Salaam, Tanzania and Monrovia, Liberia.

BACKGROUND: Researchers and healthcare providers have paid little attention to morbidity and unplanned healthcare encounters for children following hospital discharge in low- and middle-income countries. Our objective was to compare symptoms and unplanned healthcare encounters among children aged <5 years who survived with those who died within 60 days of hospital discharge through follow-up phone calls. METHODS: We conducted a secondary analysis of a prospective observational cohort of children aged <5 years discharged from neonatal and paediatric wards of two national referral hospitals in Dar es Salaam, Tanzania and Monrovia, Liberia. Caregivers of enrolled participants received phone calls 7, 14, 30, 45, and 60 days after hospital discharge to record symptoms, unplanned healthcare encounters, and vital status. We used logistic regression to determine the association between reported symptoms and unplanned healthcare encounters with 60-day post-discharge mortality. RESULTS: A total of 4243 participants were enrolled and had 60-day vital status available; 138 (3.3%) died. For every additional symptom ever reported following discharge, there was a 35% greater likelihood of post-discharge mortality (adjusted odds ratio [aOR] 1.35, 95% confidence interval [CI] 1.10 to 1.66; p=0.004). The greatest survival difference was noted for children who had difficulty breathing (2.1% among those who survived vs 36.0% among those who died, p<0.001). Caregivers who took their child home from the hospital against medical advice during the initial hospitalisation had over eight times greater odds of post-discharge mortality (aOR 8.06, 95% CI 3.87 to 16.3; p<0.001) and those who were readmitted to a hospital had 3.42 greater odds (95% CI 1.55 to 8.47; p=0.004) of post-discharge mortality than those who did not seek care when adjusting for site, sociodemographic factors, and clinical variables. CONCLUSION: Surveillance for symptoms and repeated admissions following hospital discharge by healthcare providers is crucial to identify children at risk for post-discharge mortality.

Postoperative day 1 discharge following subxiphoid thoracoscopic anatomical lung resection: a single-centre, postoperative enhanced recovery experience.

OBJECTIVES: The goal of this study was to assess the safety and quality of recovery (QOR) after discharge on postoperative day (POD) 1 following subxiphoid thoracoscopic anatomical lung resection within an advanced Enhanced Recovery After Surgery (ERAS) program. METHODS: A retrospective analysis of prospectively collected data was conducted. Characteristics, perioperative and outcome data, compliance with ERAS pathways and a home-transition QOR survey were analysed using a multivariable logistic regression model. RESULTS: From January 2020 to January 2022, a total of 201 consecutive patients underwent subxiphoid multiportal thoracoscopic anatomical lung resection, comprising 108 lobectomies and 93 sublobar resections (SLRs) (59 complex SLRs and 34 simple SLRs). Among them, 113 patients (56%) were discharged on POD 1, 49% after a lobectomy, 59% after a simple sublobar resection and 68% after a complex sublobar resection. In the multivariable analysis, age > 74 years and duration of the operation were associated with discharge after POD 1, whereas forced expiratory volume in 1 s and complex SLRs were associated with discharge on POD 1. Chest tube removal was achieved on POD 0 in 58 patients (29%), and 138 patients (69%) were free from a chest tube on POD 1. There were 13% with in-hospital morbidity, 10% with 90-day readmission (7% after POD 1 discharge and 14% in patients discharged after POD 1), and 0.5% with 90-day mortality. Patients discharged on POD 1 showed better compliance with the ERAS pathway with early chest tube removal and opioid-free analgesia. The home-transition QOR survey reported a better experience of returning home after discharge on POD 1 and similar pain scores. CONCLUSIONS: Postoperative day 1 discharge can be safely achieved in appropriately selected patients after subxiphoid thoracoscopic anatomical lung resection, with excellent outcomes and high quality of recovery, supported by early chest tube removal as a determinant ERAS pathway.

An Exploratory Analysis of Sociodemographic Factors Associated With Physical Functional Impairment in ICU Survivors.

IMPORTANCE: Physical functional impairment is one of three components of postintensive care syndrome (PICS) that affects up to 60% of ICU survivors. OBJECTIVES: To explore the prevalence of objective physical functional impairment among a diverse cohort of ICU survivors, both at discharge and longitudinally, and to highlight sociodemographic factors that might be associated with the presence of objective physical functional impairment. DESIGN, SETTING, AND PARTICIPANTS: This was a secondary analysis of 37 patients admitted to the ICU in New Orleans, Louisiana, and Denver, Colorado between 2016 and 2019 who survived with longitudinal follow-up data. MAIN OUTCOMES AND MEASURES: Our primary outcome of physical functional impairment was defined by handgrip strength and the short physical performance battery. We explored associations between functional impairment and sociodemographic factors that included race/ethnicity, sex, primary language, education status, and medical comorbidities. RESULTS: More than 75% of ICU survivors were affected by physical functional impairment at discharge and longitudinally at 3- to 6-month follow-up. We did not see a significant difference in the proportion of patients with physical functional impairment by race/ethnicity, primary language, or education status. Impairment was relatively higher in the follow-up period among women, compared with men, and those with comorbidities. Among 18 patients with scores at both time points, White patients demonstrated greater change in handgrip strength than non-White patients. Four non-White patients demonstrated diminished handgrip strength between discharge and follow-up. CONCLUSIONS AND RELEVANCE: In this exploratory analysis, we saw that the prevalence of objective physical functional impairment among ICU survivors was high and persisted after hospital discharge. Our findings suggest a possible relationship between race/ethnicity and physical functional impairment. These exploratory findings may inform future investigations to evaluate the impact of sociodemographic factors on functional recovery.

Healthcare utilization 9 months pre- and post- COVID-19 hospitalization among patients discharged alive.

BACKGROUND: Emerging evidence suggests that there is an increase in healthcare utilization (HCU) in patients due to Coronavirus Disease 2019 (COVID-19). We investigated the change in HCU pre and post hospitalization among patients discharged home from COVID-19 hospitalization for up to 9 months of follow up. STUDY DESIGN AND METHODS: This retrospective study from a United States cohort used Optum® de-identified Clinformatics Data Mart; it included adults discharged home post hospitalization with primary diagnosis of COVID-19 between April 2020 and March 2021. We evaluated HCU of patients 9 months pre and post -discharge from index hospitalization. We defined HCU as emergency department (ED), inpatient, outpatient (office), rehabilitation/skilled nursing facility (SNF), telemedicine visits, and length of stay, expressed as number of visits per 10,000 person-days. RESULTS: We identified 63,161 patients discharged home after COVID-19 hospitalization. The cohort of patients was mostly white (58.8%) and women (53.7%), with mean age 72.4 (SD± 12) years. These patients were significantly more likely to have increased HCU in the 9 months post hospitalization compared to the 9 months prior. Patients had a 47%, 67%, 65%, and 51% increased risk of ED (rate ratio 1.47; 95% CI 1.45-1.49; p < .0001), rehabilitation (rate ratio 1.67; 95% CI 1.61-1.73; p < .0001), office (rate ratio1.65; 95% CI 1.64-1.65; p < .0001), and telemedicine visits (rate ratio 1.5; 95% CI 1.48-1.54; p < .0001), respectively. We also found significantly different rates of HCU for women compared to men (women have higher risk of ED, rehabilitation, and telemedicine visits but a lower risk of inpatient visits, length of stay, and office visits than men) and for patients who received care in the intensive care unit (ICU) vs those who did not (ICU patients had increased risk of ED, inpatient, office, and telemedicine visits and longer length of stay but a lower risk of rehabilitation visits). Outpatient (office) visits were the highest healthcare service utilized post discharge (64.5% increase). Finally, the risk of having an outpatient visit to any of the specialties studied significantly increased post discharge. Interestingly, the risk of requiring a visit to pulmonary medicine was the highest amongst the specialties studied (rate ratio 3.35, 95% CI 3.26-3.45, p < .0001). CONCLUSION: HCU was higher after index hospitalization compared to 9 months prior among patients discharged home post-COVID-19 hospitalization. The increases in HCU may be driven by those patients who received care in the ICU.

Intravenous Opioid Administration During Mechanical Ventilation and Use After Hospital Discharge.

Importance: Guidelines recommend an analgesia-first strategy for sedation during mechanical ventilation, but associations between opioids provided during mechanical ventilation and posthospitalization opioid-related outcomes are unclear. Objective: To evaluate associations between an intravenous opioid dose received during mechanical ventilation and postdischarge opioid-related outcomes in medical (nonsurgical) patients. Design, Setting, and Participants: This retrospective cohort study evaluated adults receiving mechanical ventilation lasting 24 hours or more for acute respiratory failure and surviving hospitalization. Participants from 21 Kaiser Permanente Northern California hospitals from January 1, 2012, to December 31, 2019, were included. Data were analyzed from October 1, 2020, to October 31, 2023. Exposures: Terciles of median daily intravenous fentanyl equivalents during mechanical ventilation. Main Outcomes and Measures: The primary outcome was the first filled opioid prescription in 1 year after discharge. Secondary outcomes included persistent opioid use and opioid-associated complications. Secondary analyses tested for interaction between opioid doses during mechanical ventilation, prior opioid use, and posthospitalization opioid use. Estimates were based on multivariable-adjusted time-to-event analyses, with death as a competing risk, and censored for hospice or palliative care referral, rehospitalization with receipt of opioid, or loss of Kaiser Permanente plan membership. Results: The study included 6746 patients across 21 hospitals (median age, 67 years [IQR, 57-76 years]; 53.0% male). Of the participants, 3114 (46.2%) filled an opioid prescription in the year prior to admission. The median daily fentanyl equivalent during mechanical ventilation was 200 µg (IQR, 40-1000 µg), with terciles of 0 to 67 µg, more than 67 to 700 µg, and more than 700 µg. Compared with patients who did not receive opioids during mechanical ventilation (n = 1013), a higher daily opioid dose was associated with opioid prescriptions in the year after discharge (n = 2942 outcomes; tercile 1: adjusted hazard ratio [AHR], 1.00 [95% CI, 0.85-1.17], tercile 2: AHR, 1.20 [95% CI, 1.03-1.40], and tercile 3: AHR, 1.25 [95% CI, 1.07-1.47]). Higher doses of opioids during mechanical ventilation were also associated with persistent opioid use after hospitalization (n = 1410 outcomes; tercile 3 vs no opioids: odds ratio, 1.44 [95% CI, 1.14-1.83]). No interaction was observed between opioid dose during mechanical ventilation, prior opioid use, and posthospitalization opioid use. Conclusions and Relevance: In this retrospective cohort study of patients receiving mechanical ventilation, opioids administered during mechanical ventilation were associated with opioid prescriptions following hospital discharge. Additional studies to evaluate risks and benefits of strategies using lower opioid doses are warranted.

Epidemiology of Opioid Prescribing After Discharge From Surgical Procedures Among Adults.

Importance: Opioid medications are commonly prescribed for the management of acute postoperative pain. In light of increasing awareness of the potential risks of opioid prescribing, data are needed to define the procedures and populations for which most opioid prescribing occurs. Objective: To identify the surgical procedures accounting for the highest proportion of opioids dispensed to adults after surgery in the United States. Design, Setting, and Participants: This cross-sectional analysis of the 2020-2021 Merative MarketScan Commercial and Multi-State Databases, which capture medical and pharmacy claims for 23 million and 14 million annual privately insured patients and Medicaid beneficiaries, respectively, included surgical procedures for individuals aged 18 to 64 years with a discharge date between December 1, 2020, and November 30, 2021. Procedures were identified using a novel crosswalk between 3664 Current Procedural Terminology codes and 1082 procedure types. Data analysis was conducted from November to December 2023. Main Outcomes and Measures: The total amount of opioids dispensed within 3 days of discharge from surgery across all procedures in the sample, as measured in morphine milligram equivalents (MMEs), was calculated. The primary outcome was the proportion of total MMEs attributable to each procedure type, calculated separately among procedures for individuals aged 18 to 44 years and those aged 45 to 64 years. Results: Among 1 040 934 surgical procedures performed (mean [SD] age of patients, 45.5 [13.3] years; 663 609 [63.7%] female patients), 457 016 (43.9%) occurred among individuals aged 18 to 44 years and 583 918 (56.1%) among individuals aged 45 to 64 years. Opioid prescriptions were dispensed for 503 058 procedures (48.3%). Among individuals aged 18 to 44 years, cesarean delivery accounted for the highest proportion of total MMEs dispensed after surgery (19.4% [11 418 658 of 58 825 364 MMEs]). Among individuals aged 45 to 64 years, 4 of the top 5 procedures were common orthopedic procedures (eg, arthroplasty of knee, 9.7% of total MMEs [5 885 305 of 60 591 564 MMEs]; arthroscopy of knee, 6.5% [3 912 616 MMEs]). Conclusions and Relevance: In this cross-sectional study of the distribution of postoperative opioid prescribing in the United States, a small number of common procedures accounted for a large proportion of MMEs dispensed after surgery. These findings suggest that the optimal design and targeting of surgical opioid stewardship initiatives in adults undergoing surgery should focus on the procedures that account for the most opioid dispensed following surgery over the life span, such as childbirth and orthopedic procedures. Going forward, systems that provide periodic surveillance of opioid prescribing and associated harms can direct quality improvement initiatives to reduce opioid-related morbidity and mortality.

Premature Death, Suicide, and Nonlethal Intentional Self-Harm After Psychiatric Discharge.

Importance: There is a need for representative research on serious adverse outcomes following discharge from psychiatric hospitalization. Objective: To compare rates of premature death, suicide, and nonlethal intentional self-harm after psychiatric discharge with rates in the general population and investigate associations of these outcomes with relevant variables associated with the index psychiatric hospitalization. Design, Setting, and Participants: This retrospective cohort study included all residents from Catalonia, Spain (7.6 million population), who had psychiatric hospitalizations between January 1, 2014, and December 31, 2018, and were older than 10 years at the index (first) hospitalization. Follow-up was until December 31, 2019. Statistical analysis was performed from December 1, 2022, through April 11, 2024. Exposures: Socioeconomic status, psychiatric diagnoses, duration of index hospitalization, and number of previous psychiatric hospitalizations. Main Outcomes and Measures: Postdischarge premature death (ie, all-cause death before age 70 years) and suicide (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code range X60-X84), identified using mortality data, and postdischarge nonlethal intentional self-harm, identified using electronic health record and self-harm case register data. Standardized mortality ratios (SMRs) compared rates of premature death and suicide between the cohort and the general population. Fully adjusted, multivariable, cause-specific Cox proportional hazards regression models for the 3 outcomes were fitted. Results: A total of 49 108 patients discharged from psychiatric hospitalization were included (25 833 males [52.6%]; mean [SD] age at discharge, 44.2 [18.2] years). During follow-up, 2260 patients (4.6%) died prematurely, 437 (0.9%) died by suicide, and 4752 (9.7%) had an episode of nonlethal intentional self-harm. The overall SMR for premature death was 7.5 (95% CI, 7.2-7.9). For suicide, SMR was 32.9 (95% CI, 29.9-36.0) overall and was especially high among females (47.6 [95% CI, 40.2-54.9]). In fully adjusted sex-stratified hazard models, postdischarge premature death was associated with cognitive disorders (adjusted hazard ratio [AHR], 2.89 [95% CI, 2.24-3.74] for females; 2.59 [95% CI, 2.17-3.08] for males) and alcohol-related disorders (AHR, 1.41 [95% CI, 1.18-1.70] for females; 1.22 [95% CI, 1.09-1.37] for males). Postdischarge suicide was associated with postdischarge intentional self-harm (AHR, 2.83 [95% CI, 1.97-4.05] for females; 3.29 [95% CI, 2.47-4.40] for males), with depressive disorders (AHR, 2.13 [95% CI, 1.52-2.97]) and adjustment disorders (AHR, 1.94 [95% CI, 1.32-2.83]) among males, and with bipolar disorder among females (AHR, 1.94 [95% CI, 1.21-3.09]). Postdischarge intentional self-harm was associated with index admissions for intentional self-harm (AHR, 1.95 [95% CI, 1.73-2.21] for females; 2.62 [95% CI, 2.20-3.13] for males) as well as for adjustment disorders (AHR, 1.48 [95% CI, 1.33-1.65] for females; 1.99 [95% CI, 1.74-2.27] for males), anxiety disorders (AHR, 1.24 [95% CI, 1.10-1.39] for females; 1.36 [95% CI, 1.18-1.58] for males), depressive disorders (AHR, 1.54 [95% CI, 1.40-1.69] for females; 1.80 [95% CI, 1.58-2.04] for males), and personality disorders (AHR, 1.59 [95% CI, 1.46-1.73] for females; 1.43 [95% CI, 1.28-1.60] for males). Conclusions and Relevance: In this cohort study of patients discharged from psychiatric hospitalization, risk for premature death and suicide was significantly higher compared with the general population, suggesting individuals discharged from psychiatric inpatient care are a vulnerable population for premature death and suicidal behavior.

Use of machine learning to identify protective factors for death from COVID-19 in the ICU: a retrospective study.

Background: Patients in serious condition due to COVID-19 often require special care in intensive care units (ICUs). This disease has affected over 758 million people and resulted in 6.8 million deaths worldwide. Additionally, the progression of the disease may vary from individual to individual, that is, it is essential to identify the clinical parameters that indicate a good prognosis for the patient. Machine learning (ML) algorithms have been used for analyzing complex medical data and identifying prognostic indicators. However, there is still an urgent need for a model to elucidate the predictors related to patient outcomes. Therefore, this research aimed to verify, through ML, the variables involved in the discharge of patients admitted to the ICU due to COVID-19. Methods: In this study, 126 variables were collected with information on demography, hospital length stay and outcome, chronic diseases and tumors, comorbidities and risk factors, complications and adverse events, health care, and vital indicators of patients admitted to an ICU in southern Brazil. These variables were filtered and then selected by a ML algorithm known as decision trees to identify the optimal set of variables for predicting patient discharge using logistic regression. Finally, a confusion matrix was performed to evaluate the model's performance for the selected variables. Results: Of the 532 patients evaluated, 180 were discharged: female (16.92%), with a central venous catheter (23.68%), with a bladder catheter (26.13%), and with an average of 8.46- and 23.65-days using bladder catheter and submitted to mechanical ventilation, respectively. In addition, the chances of discharge increase by 14% for each additional day in the hospital, by 136% for female patients, 716% when there is no bladder catheter, and 737% when no central venous catheter is used. However, the chances of discharge decrease by 3% for each additional year of age and by 9% for each other day of mechanical ventilation. The performance of the training data presented a balanced accuracy of 0.81, sensitivity of 0.74, specificity of 0.88, and the kappa value was 0.64. The test performance had a balanced accuracy of 0.85, sensitivity 0.75, specificity 0.95, and kappa value of 0.73. The McNemar test found that there were no significant differences in the error rates in the training and test data, suggesting good classification. This work showed that female, the absence of a central venous catheter and bladder catheter, shorter mechanical ventilation, and bladder catheter duration were associated with a greater chance of hospital discharge. These results may help develop measures that lead to a good prognosis for the patient.

Time from surgery end to discharge following total knee arthroplasty: implications for same day discharge.

BACKGROUND: Understanding the average time from surgery to discharge is important to successfully and strategically schedule cases planned for same day discharge (SDD) for total knee arthroplasty (TKA). The purpose of this study was to (1) evaluate the average time to discharge following unilateral TKA performed in a community hospital and (2) describe patient characteristics and peri-operative factors that may impact SDD. METHODS: This retrospective review included 75 patients having achieved SDD following unilateral TKA between March 2017 and September 2021 at a high-volume multi-specialty community hospital. Time to discharge was calculated from end of surgery, defined as completion of dressing application, to physical discharge from the hospital. Time surgery completed and association with time of discharge was also examined. Pearson's correlations were performed to evaluate the relationship between total time to discharge and patient demographics. RESULTS: The average age for all patients was 66.6 ± 10.9 years (Range: 38 to 86) and average BMI of 29.9 ± 5.6 kg/m2 (Range: 20.4 to 46.3). The average time to discharge was 5.8 ± 1.8 h (range: 2.2 to 10.5 h). Time to discharge was significantly longer for patients finishing surgery prior to noon (6.0 ± 1.8 h), than after noon (4.8 ± 1.4 h, p = 0.046). Total time to discharge was not correlated with age (r = 0.018, p = 0.881) or BMI (r=-0.158, p = 0.178), but was negatively correlated with surgical start time (r=-0.196, p = 0.094). CONCLUSION: An average of six hours was required to achieve SDD following unilateral TKA performed in a community hospital. The time required for SDD was not found to be related to intrinsic patient factors but more likely due to extrinsic factors associated with time of scheduled surgery. To improve success of SDD, focus should be placed on the development of efficient discharge pathways rather than unchangeable intrinsic patient characteristics.

Pilot Process Evaluation of the Supporting Older Adults at Risk Model: A RE-AIM Approach.

ABSTRACT: Despite evidence supporting transitional care models, hospitals report challenges implementing and sustaining them. The Discharge to Assess (D2A) Model is an innovative solution to this problem but required translation from a national health system context to an U.S.-based context. We translated the central tenets of the D2A model to establish the Supporting Older Adults at Risk (SOAR) Model, which unfolds in three phases: Prepare, Transition, and Support. The purpose of this project was to conduct a process evaluation of the SOAR Model in practice using the RE-AIM Framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance). Forty patients completed all SOAR Model components for a Reach of 21%. Patients averaged 80 years of age, 53% were female, and 64% Black/AA. SOAR significantly improved discharge before noon, time to first home visit, and use of the in-house pharmacy. SOAR also improved length of hospital stay, emergency department visits, and readmissions. Twenty-one of the 26 Implementation measures unfolded with 75% or greater fidelity. Sixteen of the 24 Adoption measures unfolded with 75% or greater fidelity. COVID-19 limited Maintenance. Given the model unfolds across settings over time, requiring adoption from interprofessional team members, patients, and families, future work should focus on improving reach and adoption.

A nursing note-aware deep neural network for predicting mortality risk after hospital discharge.

BACKGROUND: ICU readmissions and post-discharge mortality pose significant challenges. Previous studies used EHRs and machine learning models, but mostly focused on structured data. Nursing records contain crucial unstructured information, but their utilization is challenging. Natural language processing (NLP) can extract structured features from clinical text. This study proposes the Crucial Nursing Description Extractor (CNDE) to predict post-ICU discharge mortality rates and identify high-risk patients for unplanned readmission by analyzing electronic nursing records. OBJECTIVE: Developed a deep neural network (NurnaNet) with the ability to perceive nursing records, combined with a bio-clinical medicine pre-trained language model (BioClinicalBERT) to analyze the electronic health records (EHRs) in the MIMIC III dataset to predict the death of patients within six month and two year risk. DESIGN: A cohort and system development design was used. SETTING(S): Based on data extracted from MIMIC-III, a database of critically ill in the US between 2001 and 2012, the results were analyzed. PARTICIPANTS: We calculated patients' age using admission time and date of birth information from the MIMIC dataset. Patients under 18 or over 89 years old, or who died in the hospital, were excluded. We analyzed 16,973 nursing records from patients' ICU stays. METHODS: We have developed a technology called the Crucial Nursing Description Extractor (CNDE), which extracts key content from text. We use the logarithmic likelihood ratio to extract keywords and combine BioClinicalBERT. We predict the survival of discharged patients after six months and two years and evaluate the performance of the model using precision, recall, the F1-score, the receiver operating characteristic curve (ROC curve), the area under the curve (AUC), and the precision-recall curve (PR curve). RESULTS: The research findings indicate that NurnaNet achieved good F1-scores (0.67030, 0.70874) within six months and two years. Compared to using BioClinicalBERT alone, there was an improvement in performance of 2.05 % and 1.08 % for predictions within six months and two years, respectively. CONCLUSIONS: CNDE can effectively reduce long-form records and extract key content. NurnaNet has a good F1-score in analyzing the data of nursing records, which helps to identify the risk of death of patients after leaving the hospital and adjust the regular follow-up and treatment plan of relevant medical care as soon as possible.