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BACKGROUND: People approaching end of life account disproportionately for health care costs, and the majority of these costs accrue in hospitals. The economic evidence base to improve value of care to this population is thin. Natural experiment methods may be helpful in bridging evidence gaps with credible causal estimates from routine data, but these methods have seldom been applied in this field. This study aimed to evaluate the association between timely palliative care consultation and length of stay for adults with serious illness admitted to acute hospital in Ireland. METHODS: In primary analysis we evaluated if timely palliative care receipt following emergency hospital inpatient admission impacted length of stay (LOS); in secondary analysis we verified if palliative medicine service (PMS) implementation co-occurred with any changes in in-hospital mortality, and we estimated cost differences associated with any change in LOS. This was a secondary analysis on routinely collected data for acute admissions to public hospitals in Ireland. We used difference-in-differences analysis to exploit the staggered implementation of PMS teams at acute public hospitals in Ireland between 2010 and 2015. We identified palliative care receipt following PMS implementation using ICD-10 codes, and we matched admissions involving a palliative care interaction to admissions in years prior to PMS implementation using propensity score weights. RESULTS: Our primary analytic sample included 4,314 observations, of whom 608 (14%) received timely palliative care. We estimated that the intervention reduced LOS by nearly two days, with an estimated associated saving per admission of €1,820. These analyses were robust to multiple sensitivity analyses on regression specification, weighting strategy and site selection. Proportion of admissions ending in death did not change following PMS implementation. CONCLUSIONS: Prompt interaction between suitable patients and palliative care can improve the quality and efficiency of care to this population. Many patients receive palliative care later in the hospital stay, which does not yield cost-savings. Future studies can extend and strengthen our approach with better data, as well as using different methods to understand how to trigger palliative care early in a hospital admission and realise available gains.

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OBJECTIVE: Brain metastases (BM) are the most common adult intracranial tumors, representing a significant source of morbidity in patients with systemic malignancy. Frailty indices, including 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI), have recently demonstrated an important role in predicting high-value care outcomes in neurosurgery. This study aims to investigate the efficacy of the newly developed Hospital Frailty Risk Score (HFRS) on postoperative outcomes in BM patients. METHODS: Adult patients with BM treated surgically at a single institution were identified (2017-2019). HFRS was calculated using ICD-10 codes, and patients were subsequently separated into low (<5), intermediate (5-15), and high (>15) HFRS cohorts. Multivariate logistic regressions were utilized to identify associations between HFRS and complications, length of stay (LOS), hospital charges, and discharge disposition. Model discrimination was assessed using receiver operating characteristic (ROC) curves. RESULTS: A total of 356 patients (mean age: 61.81±11.63 years; 50.6 % female) were included. The mean±SD for HFRS, mFI-11, mFI-5, ASA, and CCI were 6.46±5.73, 1.31±1.24, 0.95±0.86, 2.94±0.48, and 8.69±2.07, respectively. On multivariate analysis, higher HFRS was significantly associated with greater complication rate (OR=1.10, p<0.001), extended LOS (OR=1.13, p<0.001), high hospital charges (OR=1.14, p<0.001), and nonroutine discharge disposition (OR=1.12, p<0.001), and comparing the ROC curves of mFI-11, mFI-5, ASA,and CCI, the predictive accuracy of HFRS was the most superior for all four outcomes assessed. CONCLUSION: The predictive ability of HFRS on BM resection outcomes may be superior than other frailty indices, offering a new avenue for routine preoperative frailty assessment and for managing postoperative expectations.

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Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a common cause of hospital admissions. Coronavirus disease 2019 (COVID-19) has large impact on patients with pulmonary diseases. The purpose of the study is to evaluate the impact of COVID-19 on patients with AECOPD. Method: Retrospective study with two cohorts, the first period included patients with AECOPD before COVID-19 pandemic; the second period included patients with AECOPD since the beginning of COVID-19 pandemic. The length of stay (LOS), number of patients requiring mechanical ventilation, and allcause mortality were calculated. Results: There was a total of 55 (44.72%) patients in the pre-COVID period compared to 68 (55.28%) patients in the COVID period. In the pre-COVID period: 14 (19.44%) had hypertension, 26(36.11%) had diabetes, 27(37.50%) had ischemic heart disease, 3(4.17%) had myocardial infarction; in the COVID period: 20 (29.41%) had hypertension, 24(35.29%) had diabetes, 27(39.71%) had ischemic heart disease, 1(1.47) had myocardial infarction. The LOS was shorter in pre-COVID period compared to COVID period, 6.51(SD 5.02) days vs 8.91(SD7.88) days with P-value of 0.042 respectively. The total number of patients needing mechanical ventilation in pre-COVID period was similar to the COVID period with P-value of 0.555. All-cause mortality number was 2 (3.64%) in the pre-COVID period compared to 6 (8.82%) in COVID period with P-value of 0.217. Conclusion: Study results revealed significant difference in length of stay for patients with AECOPD, patient in COVID period had increased LOS compared to pre-COVID period. There was no significant difference in the other parameters.

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BACKGROUND: Phosphorus is a vital mineral crucial for various physiological functions. Critically ill trauma patients frequently experience hypophosphatemia during the immediate post-traumatic phase, potentially impacting outcomes. This study aims to investigate the incidence of early hypophosphatemia in critically major trauma patients. METHODS: In this prospective observational study, trauma patients admitted to the intensive care unit (ICU) within one day were enrolled. These patients were categorized into Hypo-P groups and Non-hypo groups based on the development of new-onset hypophosphatemia within 72 h after feeding. The primary outcome assessed was the incidence of new-onset hypophosphatemia. The secondary outcomes included ICU and hospital stay, ventilation duration, and mortality. RESULTS: 76.1% of patients developed a new onset of hypophosphatemia within 72 h after feeding. The Hypo-P group had significantly longer ICU stays (8.1 days ± 5.5 vs. 4.4 days ± 3.1; p = 0.0251) and trends towards extended hospital stay, ventilation duration, and higher mortality. Additionally, they demonstrated significantly higher urine fractional excretion of phosphate (FEPO4) on the first ICU day (29.2% ± 14.23 vs. 19.5% ± 8.39; p = 0.0242). CONCLUSION: Critically ill trauma patients exhibited a significantly higher incidence of early hypophosphatemia than typical ICU rates, indicating their heightened vulnerability. The significantly high urine FEPO4 underscores the crucial role of renal loss in disrupting phosphate metabolism in this early acute phase after trauma. A significant correlation was observed between hypophosphatemia and longer ICU stays. Monitoring and managing phosphate levels may influence outcomes, warranting further investigation.

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INTRODUCTION: Guidelines for blunt liver and spleen injury (BLSI) by the Arizona-Texas-Oklahoma-Memphis-Arkansas Consortium (ATOMAC) emphasize hemodynamic stability over injury grade when considering non-operative management (NOM). In this study, we examined rates of intensive care unit (ICU) admission for children with isolated low-risk BLSI among US hospitals. METHODS: The National Trauma Data Bank (NTDB) was queried for patients ages 1-15 admitted between 2017 and 2019 with BLSI. Patients with penetrating injuries and/or concomitant non-abdominal injuries with AIS score ≥3 were excluded. Isolated BLSI was considered low-risk if the patient had normal admission vitals and did not require operative intervention. Primary outcomes measured were ICU admission, ICU length of stay (LOS), and overall LOS. RESULTS: 5777 patients ages 15 and under presented with isolated BLSI during the study period. 2031/5777 (35.2%) were considered low-risk. Low-risk patients had lower rates of ICU admission compared to high-risk patients (30.9% vs. 41.6%, p < 0.001) and had shorter ICU LOS (median 2 days vs. 2, p < 0.001) and shorter overall LOS (median 41 h vs. 54, p < 0.001). Pediatric verified and non-pediatric verified trauma centers had similar rates of ICU admission (36.8% vs. 38.9%, p = 0.11). CONCLUSION: Further work is needed to capture opportunities for reduction in ICU utilization in isolated BLSI. LEVEL OF EVIDENCE: III.

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Drug-resistant Gram-negative bacterial infections, on average, increase the length of stay (LOS) in U.S. hospitals by 5 days, translating to approximately $15,000 per patient. We used statistical and machine-learning models to explore the relationship between antibiotic usage and antibiotic resistance over time and to predict the clinical and financial costs associated with resistant E. coli infections. We acquired data on antibiotic utilization and the resistance/sensitivity of 4776 microbial cultures at a Kaiser Permanente facility from April 2013 to December 2019. The ARIMA (autoregressive integrated moving average), neural networks, and random forest time series algorithms were employed to model antibiotic resistance trends. The models' performance was evaluated using mean absolute error (MAE) and root mean squared error (RMSE). The best performing model was then used to predict antibiotic resistance rates for the year 2020. The ARIMA model with cefazolin, followed by the one with cephalexin, provided the lowest RMSE and MAE values without signs of overfitting across training and test datasets. The study showed that reducing cefazolin usage could decrease the rate of resistant E. coli infections. Although piperacillin/tazobactam did not perform as well as cefazolin in our time series models, it performed reasonably well and, due to its broad spectrum, might be a practical target for interventions in antimicrobial stewardship programs (ASPs), at least for this particular facility. While a more generalized model could be developed with data from multiple facilities, this study acts as a framework for ASP clinicians to adopt statistical and machine-learning approaches, using region-specific data to make effective interventions.

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Newborns are as the primary recipients of blood transfusions. There is a possibility of an association between blood transfusion and unfavorable outcomes. Such complications not only imperil the lives of newborns but also cause long hospitalization. Our objective is to explore the predictor variables that may lead to extended hospital stays in neonatal intensive care unit (NICU) patients who have undergone blood transfusions and develop a predictive nomogram. A retrospective review of 539 neonates who underwent blood transfusion was conducted using median and interquartile ranges to describe their length of stay (LOS). Neonates with LOS above the 75th percentile (P75) were categorized as having a long LOS. The Least Absolute Shrinkage and Selection Operator (LASSO) regression method was employed to screen variables and construct a risk model for long LOS. A multiple logistic regression prediction model was then constructed using the selected variables from the LASSO regression model. The significance of the prediction model was evaluated by calculating the area under the ROC curve (AUC) and assessing the confidence interval around the AUC. The calibration curve is used to further validate the model's calibration and predictability. The model's clinical effectiveness was assessed through decision curve analysis. To evaluate the generalizability of the model, fivefold cross-validation was employed. Internal validation of the models was performed using bootstrap validation. Among the 539 infants who received blood transfusions, 398 infants (P75) had a length of stay (LOS) within the normal range of 34 days, according to the interquartile range. However, 141 infants (P75) experienced long LOS beyond the normal range. The predictive model included six variables: gestational age (GA) (< 28 weeks), birth weight (BW) (< 1000 g), type of respiratory support, umbilical venous catheter (UVC), sepsis, and resuscitation frequency. The area under the receiver operating characteristic (ROC) curve (AUC) for the training set was 0.851 (95% CI 0.805-0.891), and for the validation set, it was 0.859 (95% CI 0.789-0.920). Fivefold cross-validation indicates that the model has good generalization ability. The calibration curve demonstrated a strong correlation between the predicted risk and the observed actual risk, indicating good consistency. When the intervention threshold was set at 2%, the decision curve analysis indicated that the model had greater clinical utility. The results of our study have led to the development of a novel nomogram that can assist clinicians in predicting the probability of long hospitalization in blood transfused infants with reasonable accuracy. Our findings indicate that GA (< 28 weeks), BW(< 1000 g), type of respiratory support, UVC, sepsis, and resuscitation frequency are associated with a higher likelihood of extended hospital stays among newborns who have received blood transfusions.

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Background: A prolonged length of stay (LOS) after surgery may result in higher hospital costs and hospital-acquired complications. This study aims to identify the risk factors associated with a prolonged hospital stay after robot-assisted thoracoscopic lung surgery for pediatric patients in the context of enhanced recovery after surgery. Methods: The data for this retrospective study were collected from pediatric patients undergoing robot-assisted thoracoscopic lung surgery. Patients were divided into two subgroups based on median postoperative LOS (Group I: LOS > median 5 days and Group II: LOS ≤ median 5 days). Logistic regression analysis was used to identify the potential factors associated with increased LOS. Results: This study included 241 patients, 71 (29.46%) with an LOS of >5 days. The proportion of older children was significantly higher in Group I than that in Group II (P=0.004). Patients in Group I were more likely to experience a longer duration of anesthesia and surgery (P<0.001). They also had significantly higher rates of pneumonia, pleural effusion, and liver function damage (P<0.05). Several factors were identified to be associated with an increased LOS after robot-assisted thoracoscopic lung surgery: age >6 years [odds ratio (OR) =3.214, 95% confidence interval (CI): 1.464-7.502, P=0.004], surgery duration >100 min (OR =2.138, 95% CI: 1.296-4.387, P=0.005), intra-albumin (OR =13.778, 95% CI: 1.470-129.116, P=0.022), and blood loss >5 mL (OR =2.184, 95% CI: 1.082-4.409, P=0.029). Conclusions: The results revealed that older age, longer surgery duration, use of intra-albumin, and more blood loss predict longer postoperative hospital stay in pediatric patients with congenital lung lesions after robot-assisted thoracoscopic lung surgery.

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Background: Intensive care unit (ICU) organization is a critical factor in optimizing patient outcomes. ICU organization can be divided into "OPEN" (O) and "CLOSED" (C) models, where the specialist or intensivist, respectively, assumes the role of primary physician. Recent studies support improved outcomes in closed ICUs, however, most of the available data is centered on ICUs generally or on subspecialty surgical patients in the setting of a subspecialized surgical intensive care unit (SICU). We examined the impact of closing a general SICU on patient outcomes following cardiac and ascending aortic surgery. Methods: A retrospective cohort of patients following cardiac or ascending aortic surgery by median sternotomy was examined at a single academic medical center one year prior and one year after implementation of a closed SICU model. Patients were divided into "OPEN" (O; n=53) and "CLOSED" (C; n=73) cohorts. Results: Cohorts were comparable in terms of age, race, and number of comorbid conditions. A significant difference in male gender (O: 60.4% vs. C: 76.7%, P=0.049), multiple procedure performed (O: 13.21% vs. C: 35.62%, P=0.019), and hospital readmission rates was detected (O: 39.6% vs. C: 9.6%, P=0.0003). Using a linear regression model, a closed model SICU organization decreased SICU length of stay (LOS). Using a multivariate logistic regression, being treated in a closed ICU decreased a patient's likelihood of having an ICU LOS greater than 48 hours. Conclusions: Our study identified a decreased ICU LOS and hospital readmission in cardiac and ascending aortic patients in a closed general SICU despite increased procedure complexity. Further study is needed to clarify the effects on surgical complications and hospital charges.

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PURPOSE: The number of patients with asymptomatic human immunodeficiency virus (AHIV) is increasing as the efficacy of antiretroviral therapy improves. While there is research on operative risks associated with having HIV, there is a lack of literature describing the impact of well-controlled HIV on postoperative complications. This study seeks to elucidate the impact of AHIV on postoperative outcomes after total hip (THA) and knee (TKA) arthroplasty. METHODS: The Nationwide Inpatient Sample was retrospectively reviewed for patients undergoing TKA and THA from 2005 to 2013. Subjects were subdivided into those with AHIV and those without HIV (non-HIV). Patient demographics, hospital-related parameters, and postoperative complications were all collected. One-to-one propensity score-matching, Chi-square analysis, and multivariate logistical regressions were performed to compare both cohorts. RESULTS: There were no significant differences between AHIV and non-HIV patients undergoing TKA or THA in terms of sex, age, insurance status, or total costs (all, p ≥ 0.081). AHIV patients had longer lengths of stay (4.0 days) than non-HIV patients after both TKA (3.3 days) and THA (3.1 days) (p ≤ 0.011). Both TKA groups had similar postoperative complication rates (p > 0.081). AHIV patients undergoing THA exhibited an increased rate of overall surgical complications compared non-HIV patients (0 vs. 4.5%, p = 0.043). AHIV was not associated with increased complications following both procedures. CONCLUSION: Despite lengthier hospital stays among AHIV patients, baseline AHIV was not associated with adverse outcomes following TKA and THA. This adds to the literature and warrants further research into the impact of asymptomatic, well-controlled HIV infection on postoperative outcomes following total joint arthroplasty.

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BACKGROUND: Previous studies have shown mortality benefits with corticosteroids in Coronavirus disease-19 (COVID-19). However, there is inconsistency regarding the use of methylprednisolone over dexamethasone in COVID-19, and this has not been extensively evaluated in patients with a history of asthma. This study aims to investigate and compare the effectiveness and safety of methylprednisolone and dexamethasone in critically ill patients with asthma and COVID-19. METHODS: The primary endpoint was the in-hospital mortality. Other endpoints include 30-day mortality, respiratory failure requiring mechanical ventilation (MV), acute kidney injury (AKI), acute liver injury, length of stay (LOS), ventilator-free days (VFDs), and hospital-acquired infections. Propensity score (PS) matching, and regression analyses were used. RESULTS: A total of one hundred-five patients were included. Thirty patients received methylprednisolone, whereas seventy-five patients received dexamethasone. After PS matching (1:1 ratio), patients who received methylprednisolone had higher but insignificant in-hospital mortality in both crude and logistic regression analysis, [(35.0% vs. 18.2%, P = 0.22) and (OR 2.31; CI: 0.56 - 9.59; P = 0.25), respectively]. There were no statistically significant differences in the 30-day mortality, respiratory failure requiring MV, AKI, acute liver injury, ICU LOS, hospital LOS, and hospital-acquired infections. CONCLUSIONS: Methylprednisolone in COVID-19 patients with asthma may lead to increased in-hospital mortality and shorter VFDs compared to dexamethasone; however, it failed to reach statistical significance. Therefore, it is necessary to interpret these data cautiously, and further large-scale randomized clinical trials are needed to establish more conclusive evidence and support these conclusions.

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BACKGROUND: Liver transplantation is the life-saving treatment for many end-stage pediatric liver diseases. The perioperative course, including surgical and anesthetic factors, have an important influence on the trajectory of this high-risk population. Given the complexity and variability of the immediate postoperative course, there would be utility in identifying risk factors that allow prediction of adverse outcomes and intensive care unit trajectories. AIMS: The aim of this study was to develop and validate a risk prediction model of prolonged intensive care unit length of stay in the pediatric liver transplant population. METHODS: This is a retrospective analysis of consecutive pediatric isolated liver transplant recipients at a single institution between April 1, 2013 and April 30, 2020. All patients under the age of 18 years receiving a liver transplant were included in the study (n = 186). The primary outcome was intensive care unit length of stay greater than 7 days. RESULTS: Recipient and donor characteristics were used to develop a multivariable logistic regression model. A total of 186 patients were included in the study. Using multivariable logistic regression, we found that age < 12 months (odds ratio 4.02, 95% confidence interval 1.20-13.51, p = .024), metabolic or cholestatic disease (odds ratio 2.66, 95% confidence interval 1.01-7.07, p = .049), 30-day pretransplant hospital admission (odds ratio 8.59, 95% confidence interval 2.27-32.54, p = .002), intraoperative red blood cells transfusion >40 mL/kg (odds ratio 3.32, 95% confidence interval 1.12-9.81, p = .030), posttransplant return to the operating room (odds ratio 11.45, 95% confidence interval 3.04-43.16, p = .004), and major postoperative respiratory event (odds ratio 32.14, 95% confidence interval 3.00-343.90, p < .001) were associated with prolonged intensive care unit length of stay. The model demonstrates a good discriminative ability with an area under the receiver operative curve of 0.888 (95% confidence interval, 0.824-0.951). CONCLUSIONS: We develop and validate a model to predict prolonged intensive care unit length of stay in pediatric liver transplant patients using risk factors from all phases of the perioperative period.

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Background: The clinical effectiveness and efficiency of a steerable sheath for radiofrequency catheter ablation (RFCA) in Chinese patients with atrial fibrillation (AF) needs to be compared with a fixed curve sheath to optimize RFCA procedure. Methods: This retrospective study included adult AF patients with their first RFCA that was conducted by the same electrophysiologist using a steerable sheath (VIZIGO, Biosense Webster, Inc.) or a fixed curve sheath (NaviEase, Synaptic Medical) in a Chinese tertiary care hospital from January to November 2021. The medical records kept at the hospital were the source of study data that included patient baseline characteristics and outcome measures for the clinical effectiveness and efficiency of RFCA procedure. Multivariate generalized linear regression analyses were performed to explore the impact of sheath type on clinical effectiveness and efficiency after adjustment. Results: Fourteen patients using steerable sheath and 34 patients using fixed curve sheath for RFCA were included in the data analysis. Most of patient baseline characteristics associated with the two study groups were comparable except that the steerable sheath group had significantly higher left atrium diameter (41.9±6.5 vs. 38.1±3.9 mm, P=0.017) and larger left atrium volume (150.4±29.5 vs. 126.8±27.5 mL, P=0.017) than the fixed curve sheath group. Using steerable sheath was associated with significantly shorter total pulmonary vein isolation (PVI) fluoroscopy time and post-surgery hospital length of stay (LOS) than using fixed curve sheath in both unadjusted comparisons (PVI fluoroscopy time: 1.3±1.5 vs. 4.0±3.9 min, P=0.004; post-surgery LOS: 2.1±0.7 vs. 2.9±1.5 days, P=0.034) and multivariate generalized regression analyses (PVI fluoroscopy time: coefficient =-0.859, P=0.014; post-surgery LOS: coefficient =-0.303, P=0.018). Conclusions: Compared to fixed curve sheath, steerable sheath used for RFAC could have the potential to shorten the PVI fluoroscopy time and reduce post-surgery LOS in a Chinese real-world hospital setting. Future real-world studies with large sample size are needed to confirm our study findings.

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BACKGROUND: Favipiravir is an oral antiviral, that might treat COVID-19 by enhancing viral eradication, particularly in patients with mild-to-moderate disease. Yet, the findings on the use of favipiravir in critically ill patients with COVID-19 are inconsistent. Therefore, this study aimed to assess the effectiveness and safety of favipiravir in critically ill patients with COVID-19. METHOD: A multicenter retrospective cohort study includes critically ill adult patients with COVID-19 admitted to the intensive care units (ICUs) was conducted from March 2020 to July 2021. Patients were categorized based on favipiravir use (control vs. favipiravir). The primary outcome was in-hospital mortality. Secondary outcomes included mechanical ventilation (MV) duration, 30-day mortality, ICU length of stay (LOS), hospital LOS, and complications during the stay. RESULTS: After propensity score (PS) matching (1:1 ratio), 146 patients were included in the final analysis. A higher in-hospital and 30-day mortality were observed in patients receiving favipiravir compared to the control group at crude analysis (65.3% vs. 43.8%; P-value=0.009 and 56.3% vs. 40.3; P-value=0.06, respectively); however, no differences were observed using multivariable Cox proportional hazards regression analysis (HR 1.17; 95% CI 0.73, 1.87; P-value =0.51 and HR 0.86; 95% CI 0.53, 1.39; P-value=0.53, respectively). Conversely, the MV duration and ICU LOS were longer in patients who received favipiravir than the control group (ß coefficient 0.51; CI 0.09, 0.92; P-value = 0.02, ß coefficient 0.41; CI 0.17, 0.64; P-value = 0.0006, respectively). Complications during the stay were comparable between the two groups. CONCLUSION: The use of favipiravir in critically ill patients with COVID-19 did not demonstrate a reduction in mortality; instead, it was linked with longer MV duration and ICU stay. This finding suggests limiting favipiravir use to infections where it is more effective, other than COVID-19. Further randomized clinical trials are needed to confirm these findings.

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BACKGROUND: Reducing the length of stay (LOS) after childbirth is a trend, including cost savings, a more family-centered approach and lower risk for nosocomial infection. Evaluating the impact of reduced LOS is important to improve the outcomes of care, which include maternal satisfaction. The aim of this study was to compare the maternal satisfaction, before and after the reduced LOS. METHODS: This study was conducted in the University Hospital Brussels, before and after implementing the KOZI&Home program (intervention). This KOZI&Home program consisted of a reduced length of stay of at least one day for both vaginal delivery and caesarean section. It also included three extra antenatal visits with the midwife, preparing for discharge and postnatal home care by an independent midwife. Women completed a questionnaire, including the Maternity Satisfaction Questionnaire (MSQ) and Home Satisfaction Questionnaire (HSQ), respectively at discharge and two weeks postpartum. Satisfaction was split into five dimensions: 'Midwives time investment', 'Provision of information', 'Physical environment', 'Privacy' and 'Readiness for discharge'. A combination of forward and backward model selection (both directions) was used for statistical analysis. RESULTS: In total, 585 women were included in this study. 332 women in the non-intervention group and 253 women in the intervention group. Satisfaction with 'provision of information' at home had a higher mean score of 4.47/5 in the intervention group versus 4.08/5 in the non-intervention group (p < 0.001). Women in the KOZI&Home group were more satisfied regarding 'privacy at home' (mean 4.74/5 versus 4.48/5) (p < 0.001) and 'readiness for discharge' (p = 0.02). CONCLUSION: The intervention was associated with a higher score in some of dimensions of satisfaction. Our study concludes that this integrated care program is acceptable for postpartum women and associated with some favourable outcomes.

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INTRODUCTION: Reducing the Length Of postpartum Stay (LOS) is associated with lower hospital costs, a major reason for initiating federal projects in Belgium. Disadvantages following the reduction of LOS are the risks of maternal and neonatal readmissions. This study compares readmissions with or without reduced LOS, by introducing the KOZI&Home program in the university hospital Brussels. METHODS: This is an observational study comparing the readmission rates of the length of postpartum hospital stay between two groups: the non-KOZI&Home group (> 2 days for vaginal birth and > 4 days for caesarean section) and KOZI&Home group (≤ 2 days for vaginal birth and ≤ 4 days for caesarean section). A follow-up period of 16 weeks was set up. RESULTS: The maternal readmission rate was 4,8% for the non-KOZI&Home group (n = 332) and 3.3% for the KOZI&Home group (n = 253). Neonatal readmission rates were 7.2% and 15.9% respectively. After controlling influencing factors in a multivariate model for maternal and neonatal readmissions, there were no statistical significant differences. Factors negatively affecting neonatal readmissions are (1) dismissal period October-January (OR:3.22;95% CI 1.10-9.42) and (2) low education level (OR:3.44;95% CI 1.54-7.67), for maternal readmissions it concerns whether or not LOS is known (OR:3.26;95% CI 1.21-8.81). DISCUSSION: There is no effect of the KOZI&Home program on maternal nor neonatal readmission rates. Systematically informing about postpartum LOS antenatally will enforce preparation and is important to reduce maternal readmissions. Personalized information should be given to women discharged in the period October-January and to those with a lower education level, in order to reduce neonatal readmissions.

What is already known on this subject? Reducing the 'length of stay' after giving birth is known, for example, to reduce costs and for having a more family-centered approach. Above the known advantages, there is also some conflicting literature about the disadvantages. Some of the articles shown a higer readmission rate, and others no difference in readmission rates.What this study adds? The influencing factors of maternal and neonatal readmissions are checked, in order to reduce the number of readmissions in the future. Systematically informing about postpartum LOS antenatally will enforce preparation and is important to reduce maternal readmissions. Personalized information should be given to women discharged in the period October-January and to those with a lower education level, in order to reduce neonatal readmissions.

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BACKGROUND: Neonatal Abstinence Syndrome (NAS), a problem common in newborns exposed to substances in-utero, is an emerging health concern. In traditional models of care, infants with NAS are routinely separated from their mothers and admitted to the Neonatal Intensive Care Unit (NICU) with long, expensive length of stay (LOS). Research shows a rooming-in approach (keeping mothers and infants together in hospital) with referral support is a safe and effective model of care in managing NAS. The model's key components are facilitating 24-h care by mothers on post-partum or pediatric units with support for breastfeeding, transition home, and access to Opioid Dependency Programs (ODP). This study will implement the rooming-in approach at eight hospitals across one Canadian Province; support practice and culture shift; identify and test the essential elements for effective implementation; and assess the implementation's impact/outcomes. METHODS: A stepped wedge cluster randomized trial will be used to evaluate the implementation of an evidence-based rooming-in approach in the postpartum period for infants born to mothers who report opioid use during pregnancy. Baseline data will be collected and compared to post-implementation data. Six-month assessment of maternal and child health and an economic evaluation of cost savings will be conducted. Additionally, barriers and facilitators of the rooming-in model of care within the unique context of each site and across sites will be explored pre-, during, and post-implementation using theory-informed surveys, interviews, and focus groups with care teams and parents. A formative evaluation will examine the complex contextual factors and conditions that influence readiness and sustainability and inform the design of tailored interventions to facilitate capacity building for effective implementation. DISCUSSION: The primary expected outcome is reduced NICU LOS. Secondary expected outcomes include decreased rates of pharmacological management of NAS and child apprehension, increased maternal ODP participation, and improved 6-month outcomes for mothers and infants. Moreover, the NASCENT program will generate the detailed, multi-site evidence needed to accelerate the uptake, scale, and spread of this evidence-based intervention throughout Alberta, leading to more appropriate and effective care and use of healthcare resources. TRIAL REGISTRATION: ClinicalTrials.gov, NCT0522662. Registered February 4th, 2022.

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Background: The initial management of acute aortic dissection centers around rapid control of blood pressure and heart rate, commonly requiring initiation of continuous intravenous (IV) antihypertensive agents and intensive care unit (ICU) admission. However, there is limited guidance for when and how to transition off IV infusions to enteral agents, potentially extending ICU length of stay (LOS) in stable patients who are otherwise ready for floor transfer. The objective of this study is to compare the impact of rapid vs. slow transition from IV to enteral vasoactive medications on ICU LOS. Methods: In this retrospective cohort study of 56 adult patients admitted with aortic dissection requiring IV vasoactive infusions for >6 hours, patients were grouped by time required to fully transition from IV to enteral vasoactive agents. Patients who transitioned in ≤72 hours were considered the "rapid" group, and the "slow" group required >72 hours to fully convert. The primary endpoint was ICU LOS. Results: For the primary endpoint, the median ICU LOS was 3.6 days for the "rapid" group, compared to 7.7 days in the "slow" group (P<0.001). The "slow" group required a significantly longer duration of IV vasoactive infusions (115.7 vs. 36.0 hours, P<0.001) and also trended towards longer median hospital LOS. The two cohorts had similar incidences of hypotension. Conclusions: In this study, rapid transition to enteral antihypertensives within 72 hours was associated with a shorter ICU LOS without an increase in hypotension.

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This study aimed to compare the clinical burden and healthcare utilization outcomes of hematologic versus solid malignancies in patients hospitalized with acute pulmonary embolism (PE). This population-based, retrospective study extracted and analyzed the discharge data from the 2016-2018 US National Inpatient Sample (NIS) of hospitalized patients with a primary diagnosis of acute PE and a subsequent diagnosis of hematologic malignancies or solid tumors. Prolonged length-of-stay (LOS) was defined as ≥75th percentile LOS of the study cohort. Unfavorable discharge was defined as discharged to nursing home or long-term facility. Univariate and multivariate regression analyses were conducted to determine associations between cancer type, presence of unstable PE, and in-hospital outcomes in acute PE patients. Patients with acute PE with solid tumors had higher rates of in-hospital deaths and unfavorable discharge than those with hematologic malignancies (6.4% versus 3.2%, P < 0.001; 14.0% versus 11.2%, P = 0.01, respectively). Acute PE patients with hematologic malignancies had a lower risk of in-hospital death (aOR: 0.43, 95% CI: 0.31-0.60), unfavorable discharge (aOR: 0.76, 95% CI: 0.63-0.92), and prolonged LOS (aOR: 0.83, 95% CI: 0.71-0.98) than those with solid tumors. Stratified analysis showed that male patients aged <60 years with hematologic malignancies had a lower risk of prolonged LOS (aOR: 0.70, 95% CI: 0.52-0.94; aOR: 0.85, 95% CI: 0.68-1.05) and unfavorable discharge (aOR: 0.40, 95% CI: 0.22-0.71; aOR: 0.65, 95% CI: 0.50-0.85) than those with solid tumors. In the comparison of the outcomes of acute PE with hematologic malignancies and solid tumors, patients with hematologic malignancy had a lower risk of in-hospital deaths, prolonged LOS, and unfavorable discharge than those with solid tumors.

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The length of stay (LOS) in hospital varied considerably in different patients with COVID-19 caused by SARS-CoV-2 Omicron variant. The study aimed to explore the clinical characteristics of Omicron patients, identify prognostic factors, and develop a prognostic model to predict the LOS of Omicron patients. This was a single center retrospective study in a secondary medical institution in China. A total of 384 Omicron patients in China were enrolled. According to the analyzed data, we employed LASSO to select the primitive predictors. The predictive model was constructed by fitting a linear regression model using the predictors selected by LASSO. Bootstrap validation was used to test performance and eventually we obtained the actual model. Among these patients, 222 (57.8%) were female, the median age of patients was 18 years and 349 (90.9%) completed two doses of vaccination. Patients on admission diagnosed as mild were 363 (94.5%). Five variables were selected by LASSO and a linear model, and those with P < 0.05 were integrated into the analysis. It shows that if Omicron patients receive immunotherapy or heparin, the LOS increases by 36% or 16.1%. If Omicron patients developed rhinorrhea or occur familial cluster, the LOS increased by 10.4% or 12.3%, respectively. Moreover, if Omicron patients' APTT increased by one unit, the LOS increased by 0.38%. Five variables were identified, including immunotherapy, heparin, familial cluster, rhinorrhea, and APTT. A simple model was developed and evaluated to predict the LOS of Omicron patients. The formula is as follows: Predictive LOS = exp(1*2.66263 + 0.30778*Immunotherapy + 0.1158*Familiar cluster + 0.1496*Heparin + 0.0989*Rhinorrhea + 0.0036*APTT).

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