Decreased Long-Term Survival of Patients With Newly Diagnosed Cancer Discharged Home After Unplanned ICU Admission: A Prospective Observational Study.

IMPORTANCE AND OBJECTIVES: To compare the 18-month survival between patients with newly diagnosed cancer discharged home after early unplanned ICU admission and those without early unplanned ICU admission; we also evaluated the frequency and risk factors for early unplanned ICU admission. DESIGN: Observational study with prospectively collected data from September 2019 to June 2021 and 18 months follow-up. SETTING: Single dedicated cancer center in São Paulo, Brazil. PARTICIPANTS: We screened consecutive adults with suspected cancer and included those with histologically proven cancer from among 20 highly prevalent cancers. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The exposure was early unplanned ICU admission, defined as admission for medical reasons or urgent surgery during the first 6 months after cancer diagnosis. The main outcome was 18-month survival after cancer diagnosis, and the main analysis was Cox's proportional hazards model adjusted for confounders and immortal time bias. Propensity score matching was used in the sensitivity analysis. We screened 4738 consecutive adults with suspected cancer and included 3348 patients. Three hundred twelve (9.3%) had early unplanned ICU admission, which was associated with decreased 18-month survival both in the unadjusted (hazard ratio, 4.03; 95% CI, 2.89-5.62) and adjusted (hazard ratio, 1.84; 95% CI, 1.29-2.64) models. The sensitivity analysis confirmed the results because the groups were balanced after matching, and the 18-month survival of patients with early ICU admission was lower compared with patients without early ICU admission (87.0% vs. 93.9%; p = 0.01 log-rank test). Risk factors for early unplanned ICU admission were advanced age, comorbidities, worse performance status, socioeconomic deprivation, metastatic tumors, and hematologic malignancies. CONCLUSIONS: Patients with newly diagnosed cancer discharged home after early unplanned ICU admission have decreased 18-month survival compared with patients without early unplanned ICU admission.

[Strategie of the "acute respiratory disease room" in two tertiary referral clinics: a retrospective multicenter cohort study]. / Estrategia de "sala enfermedad respiratoria aguda" en dos clínicas de referencia de tercer nivel de complejidad: estudio de cohorte multicéntrica retrospectiva.

Respiratory diseases are one of the main causes of morbidity and mortality in children under 5 years of age. The acute respiratory disease (ERA in Spanish) room strategy implemented in Colombia is an important tool to reduce hospitalization and mortality rates in this population. OBJECTIVE: To describe the health outcomes of the implementation of the ERA room strategy in two health institutions in Bogota. PATIENTS AND METHOD: Multicenter descriptive study including 1785 patients admitted to the ERA rooms of two institutions in Bogota, between December 2019 and 2022. Data on sex, age, admission diagnosis, length of stay in ERA room, education provided, and post discharge follow-up were collected. The main outcomes were evaluated through hospitalization requirement, ICU requirement, and post discharge improvement. RESULTS: 1785 patients were included during the study period. 57% were male; median age was 26.6 months (IQR: 11.8 to 40.6); length of stay in ERA room was 2.62 hours (IQR: 1.73 to 4.88); 91.65% of family members and/or caregivers received educational measures. CONCLUSIONS: This study describes the results of the implementation of the ERA room strategy; the low proportion of patients requiring hospitalization is evident. Additionally, the education provided to parents and caregivers on home management is relevant, as well as the post discharge follow-up of this cohort of patients with acute respiratory disease.

[Rehospitalization of preterm infants below 32 weeks of gestational age in the first 2 years post discharge]. / Rehospitalización en prematuros menores de 32 semanas o menores de 1.500 g en los primeros 2 años posteriores al alta.

Preterm infants, especially those of lower gestational age (GA), are at high risk of hospital readmission in the early years. OBJECTIVE: To describe the frequency and characteristics of readmissions in preterm infants younger than 32 weeks of GA or weighing less than 1500 g (< 32w/< 1500 g) at 2 years post-discharge from neonatology. PATIENTS AND METHOD: Retrospective observational study of a cohort of newborns < 32w/< 1500 g discharged from a public health care center (2009-2017). The frequency, time of occurrence, risk factors, causes, and severity of hospital readmissions were analyzed. The respective perinatal characteristics and subsequent readmissions were described. The Ethics Committee approved the data collection protocol. RESULTS: 989 newborns < 32w/< 1500 g were included; 410 (41.5%) were readmitted at least once before the age of 2 years, equivalent to 686 episodes (1.7/child); 129 children (31.4%) were admitted to the Pediatric Intensive Care Unit (PICU), with a mean length of stay of 7.7 days. The greatest risk for hospital readmission was during the first 6 months post-discharge. The main cause was respiratory (70%) and respiratory syncytial virus was the most frequent germ. The risk factors associated with readmission due to respiratory causes were bronchopulmonary dysplasia (BPD) (OR: 1.73; 95%CI: 1.26-2.37) and number of siblings (OR: 1.18; 95%CI: 1.04-1.33). CONCLUSIONS: Newborns < 32s/< 1500 g are at high risk of hospital readmission due to respiratory causes and PICU admission in the first months post-discharge; BPD and number of siblings were the main risk factors.

Psychosocial Factors and Quality of Life in Older Adults Discharged After Isolation Due to COVID-19 Infection.

PURPOSE: To identify the impact of psychosocial factors on quality of life (QoL) of older adults hospitalized and isolated after contracting coronavirus disease 2019 (COVID-19). METHOD: Data were collected between April 30 and June 18, 2022, from 117 discharged older adults who were in isolation for COVID-19 treatment in a tertiary hospital in South Korea. RESULTS: Of participants, 33.3% were at high risk for posttraumatic stress symptoms (PTSS), and 21.4% of participants were identified as having severe depressive symptoms. Participants' QoL negatively correlated with PTSS, depressive symptoms, and fear of social stigma. Depressive symptoms were the primary psychosocial factor identified as significantly affecting QoL (ß = -0.682, p < 0.001), and the explanatory power of the regression model was 41.2%. CONCLUSION: To enhance QoL of older adults who have experienced hospitalization and isolation due to COVID-19, identifying pertinent psychosocial factors, especially depressive symptoms, is necessary. [Journal of Gerontological Nursing, 50(8), 29-36.].

Patient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment.

BACKGROUND: Discharge instructions are a key form of documentation and patient communication in the time of transition from the emergency department (ED) to home. Discharge instructions are time-consuming and often underprioritized, especially in the ED, leading to discharge delays and possibly impersonal patient instructions. Generative artificial intelligence and large language models (LLMs) offer promising methods of creating high-quality and personalized discharge instructions; however, there exists a gap in understanding patient perspectives of LLM-generated discharge instructions. OBJECTIVE: We aimed to assess the use of LLMs such as ChatGPT in synthesizing accurate and patient-accessible discharge instructions in the ED. METHODS: We synthesized 5 unique, fictional ED encounters to emulate real ED encounters that included a diverse set of clinician history, physical notes, and nursing notes. These were passed to GPT-4 in Azure OpenAI Service (Microsoft) to generate LLM-generated discharge instructions. Standard discharge instructions were also generated for each of the 5 unique ED encounters. All GPT-generated and standard discharge instructions were then formatted into standardized after-visit summary documents. These after-visit summaries containing either GPT-generated or standard discharge instructions were randomly and blindly administered to Amazon MTurk respondents representing patient populations through Amazon MTurk Survey Distribution. Discharge instructions were assessed based on metrics of interpretability of significance, understandability, and satisfaction. RESULTS: Our findings revealed that survey respondents' perspectives regarding GPT-generated and standard discharge instructions were significantly (P=.01) more favorable toward GPT-generated return precautions, and all other sections were considered noninferior to standard discharge instructions. Of the 156 survey respondents, GPT-generated discharge instructions were assigned favorable ratings, "agree" and "strongly agree," more frequently along the metric of interpretability of significance in discharge instruction subsections regarding diagnosis, procedures, treatment, post-ED medications or any changes to medications, and return precautions. Survey respondents found GPT-generated instructions to be more understandable when rating procedures, treatment, post-ED medications or medication changes, post-ED follow-up, and return precautions. Satisfaction with GPT-generated discharge instruction subsections was the most favorable in procedures, treatment, post-ED medications or medication changes, and return precautions. Wilcoxon rank-sum test of Likert responses revealed significant differences (P=.01) in the interpretability of significant return precautions in GPT-generated discharge instructions compared to standard discharge instructions but not for other evaluation metrics and discharge instruction subsections. CONCLUSIONS: This study demonstrates the potential for LLMs such as ChatGPT to act as a method of augmenting current documentation workflows in the ED to reduce the documentation burden of physicians. The ability of LLMs to provide tailored instructions for patients by improving readability and making instructions more applicable to patients could improve upon the methods of communication that currently exist.

Communicating with Parents About Therapeutic Hypothermia and Hypoxic Ischemic Encephalopathy: Integrating a Palliative Care Approach into Practice.

Parents of newborns with hypoxic ischemic encephalopathy (HIE) can face communication challenges in the neonatal intensive care unit. Both specialty palliative care and primary palliative care trained clinicians can assist parents as they navigate traumatic experiences and uncertain prognoses. Using evidence-based frameworks, the authors provide samples of how to communicate with parents and promote parent well-being across the care trajectory. The authors demonstrate how to involve parents in a shared decision-making process and give special consideration to the complexities of hospital discharge and the transition home. Sustained investment to guide the development of effective communication skills is crucial to support families of infants with HIE.

The Effect of Establishing a Discharge Satisfaction Questionnaire System.

People's requirements for the quality of medical services have increased. It has become a trend to introduce digital technology into nursing work, which can improve the quality of nursing care, and patient satisfaction at discharge is an important indicator of quality control. In the past, nurses in our unit would distribute paper questionnaires on discharge satisfaction to discharged patients every day and collect and archive the data. They had to work overtime for up to 4.06 hours every month to process 150 questionnaires. This article establishes an electronic discharge satisfaction questionnaire system and puts forward the concept of cloud-based service integration in line with the characteristics of Chinese people. The concept integrates existing software platforms and services and can be reused for other target applications. It can effectively realize the function of rapid management. This convenient model improves the satisfaction of both nurses and patients.

Using the Discharge Decision-Making System to Improve the Pressure on Family Members of Ventilator-Dependent Patients.

The relevant regulations for preparing ventilator-dependent patients for discharge to institutions or home care are cumbersome and there are numerous health and education materials, which make family members confused and make the decision to discharge very difficult. The purpose of this study is to explore the use of ventilator-dependent family members in critical care units. Discussion on the pressure before and after "Discharge Decision Assistance System web APP".

The Application Artificial Intelligence-Assisted Robot System in Nursing Follow-up of Discharged Patients.

To construct a robot intelligent discharge follow-up platform and explore its application effects in clinical discharge follow-up scenarios Applying intelligent voice technology to build a robot intelligent discharge follow-up platform, replacing nurses in completing telephone calls, interactive communication, feedback collection, and information input during follow-up. Compare the work efficiency and manpower investment between robots and manual follow-up. Compared with the manual telephone follow-up method, the application of robot intelligent discharge follow-up platform resulted in a higher follow-up rate, fewer follow-up hours and nurse manpower. The robot intelligent discharge follow-up platform can release nursing manpower and time, improve the follow-up rate of discharged patients.

Utilization of Discharge Checklist and Improved Education Reduces Hospital Readmission Rates in Childhood Leukemia Patients Receiving Induction Therapy.

OBJECTIVE: The aim is to identify preventable cause for hospital readmissions during induction and implement interventions to decreased preventable treatment-associated complications. BACKGROUND: Multiple factors contribute to patients with acute lymphoblastic leukemia (ALL) requiring readmissions during induction. MATERIALS AND METHODS: A dashboard monitored features of newly diagnosed patients with ALL. Readmission causes were stratified as preventable, possibly preventable, or unpreventable. A discharge checklist, including standardized education, and change of discharge date were implemented. RESULTS: Initially, there were 57 hospital readmissions of 98 patients (9 intensive care unit admissions and 2 deaths). Sixteen preventable (28.1%) and 32 unpreventable (56.1%) readmissions. After the interventions were initiated, including improved education, discharge checklist utilization, and standardized discharge date, there were 23 readmissions (78.3% were unpreventable, 6 intensive care unit admissions). CONCLUSION: Intervention implementation reduced readmission rates of induction patients with ALL by 20%.

Acquisition of mastery by the caregiver for the continuity of care after hospital discharge.

Caregivers who provide transitional care to people with functional dependence require the mastery of skills that ensure successful continuity of care. This domain of care requires nursing interventions to support the caregiver. This study aims to understand aspects of the development of caregiver mastery for continuity of care after hospital discharge. METHOD: Exploratory, qualitative research carried out in a university hospital in Salvador, Bahia, Brazil, from July to December 2022, with fourteen qualified caregivers participating. Data was organized using the software Web Qualitative Data Analysis, analyzed by thematic content analysis, and discussed in light of the Theory of Transitions proposed by Dr. Afaf Meleis. RESULTS: The caregivers were women who cared for functionally dependent individuals and received training for care during hospitalization and telephone follow-up after discharge. Twelve achieved mastery; those with less experience needed more calls to acquire mastery. CONCLUSIONS: Discharge planning and caregiver education are essential to support them in safe and effective hospital-home transitions.

Characteristics of Patients Receiving Complex Case Management in an Acute Care Hospital.

BACKGROUND: Improving transitions in care is a major focus of health care planning. In the research team's prior intervention study, the length of stay (LOS) was reduced when patients at high risk for readmission were identified early in their acute care stay and received complex management. OBJECTIVE: This study will describe the characteristics of patients receiving complex case management in an urban acute care hospital. PRIMARY PRACTICE SETTING: Acute care hospital. METHODOLOGY AND SAMPLE: This was a retrospective chart review of patients in a previous quality assurance study. A random selection of patients who previously underwent high-risk screening using the LACE (Length of stay; Acuity of the admission; Comorbidity of the patient; Emergency department use) index and received complex case management (the intervention group) were reviewed. The charts of a random selection of patients from the previous comparison group were also reviewed. Patient characteristics were collected and compared using descriptive statistics. RESULTS: In the intervention group, more patients had their family physicians (FPs) documented (93.1% [81/87] vs. 89.2% [66/74]). More patients in the intervention group (89.7% [77/87] vs. 85.1% [63/74]) lived at home prior to admission. More patients in the intervention group had a family caregiver involved (44.8% [39/87] vs. 41.9% [31/74]). At discharge, more patients in the intervention group (87.1% [74/85]) were discharged home compared with the comparison group (78.4% [58/74]). IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: (1) Having an identified FP, living at home, and having family caregiver(s) characterized those with lower LOS and discharged home. (2) Case management, risk screening, and discharge planning improve patient outcomes. (3) This study identified the importance of having a FP and engaged family caregivers in improving care outcomes.

Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population.

BACKGROUND: While the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic. METHODS: At a Taiwanese tertiary medical center, we developed a TFU protocol that included a referral and case management system within the ED hospital information system. We provided TFU to older discharged patients between April 1, 2021, and May 31, 2021. We compared this cohort with a non-TFU cohort of older ED patients and analyzed demographic characteristics and post-ED discharge outcomes. RESULTS: The TFU model was successfully implemented, with 395 patients receiving TFU and 191 without TFU. TFU patients (median age: 76 years, male proportion: 48.9%) differed from non-TFU patients (median age: 74 years, male proportion: 43.5%). Compared with the non-TFU cohort, the multivariate logistic regression analysis revealed that the TFU cohort had a lower total medical expenditure < 1 month (adjusted odds ratio [AOR]: 0.32; 95% CI: 0.21 - 0.47 for amounts exceeding 5,000 New Taiwan Dollars), and higher satisfaction (AOR: 2.80; 95% CI: 1.46 - 5.36 for scores > 3 on a five-point Likert Scale). However, the TFU cohort also had a higher risk of hospitalization < 1 month (AOR: 2.50; 95% CI: 1.31 - 4.77) compared to the non-TFU cohort. CONCLUSION: Computer-assisted TFU appears promising. Further research involving a larger number of patients and validation in other hospitals is necessary to bolster the evidence and extend the findings to a broader context.

Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study.

BACKGROUND: Discharge letters are a critical component in the continuity of care between specialists and primary care providers. However, these letters are time-consuming to write, underprioritized in comparison to direct clinical care, and are often tasked to junior doctors. Prior studies assessing the quality of discharge summaries written for inpatient hospital admissions show inadequacies in many domains. Large language models such as GPT have the ability to summarize large volumes of unstructured free text such as electronic medical records and have the potential to automate such tasks, providing time savings and consistency in quality. OBJECTIVE: The aim of this study was to assess the performance of GPT-4 in generating discharge letters written from urology specialist outpatient clinics to primary care providers and to compare their quality against letters written by junior clinicians. METHODS: Fictional electronic records were written by physicians simulating 5 common urology outpatient cases with long-term follow-up. Records comprised simulated consultation notes, referral letters and replies, and relevant discharge summaries from inpatient admissions. GPT-4 was tasked to write discharge letters for these cases with a specified target audience of primary care providers who would be continuing the patient's care. Prompts were written for safety, content, and style. Concurrently, junior clinicians were provided with the same case records and instructional prompts. GPT-4 output was assessed for instances of hallucination. A blinded panel of primary care physicians then evaluated the letters using a standardized questionnaire tool. RESULTS: GPT-4 outperformed human counterparts in information provision (mean 4.32, SD 0.95 vs 3.70, SD 1.27; P=.03) and had no instances of hallucination. There were no statistically significant differences in the mean clarity (4.16, SD 0.95 vs 3.68, SD 1.24; P=.12), collegiality (4.36, SD 1.00 vs 3.84, SD 1.22; P=.05), conciseness (3.60, SD 1.12 vs 3.64, SD 1.27; P=.71), follow-up recommendations (4.16, SD 1.03 vs 3.72, SD 1.13; P=.08), and overall satisfaction (3.96, SD 1.14 vs 3.62, SD 1.34; P=.36) between the letters generated by GPT-4 and humans, respectively. CONCLUSIONS: Discharge letters written by GPT-4 had equivalent quality to those written by junior clinicians, without any hallucinations. This study provides a proof of concept that large language models can be useful and safe tools in clinical documentation.

Rehabilitation after surgery for hip fracture - the impact of prompt, frequent and mobilisation-focused physiotherapy on discharge outcomes: an observational cohort study.

PURPOSE: To determine the relationship between three postoperative physiotherapy activities (time to first postoperative walk, activity on the day after surgery, and physiotherapy frequency), and the outcomes of hospital length of stay (LOS) and discharge destination after hip fracture. METHODS: A cohort study was conducted on 437 hip fracture surgery patients aged ≥ 50 years across 36 participating hospitals from the Australian and New Zealand Hip Fracture Registry Acute Rehabilitation Sprint Audit during June 2022. Study outcomes included hospital LOS and discharge destination. Generalised linear and logistic regressions were used respectively, adjusted for potential confounders. RESULTS: Of 437 patients, 62% were female, 56% were aged ≥ 85 years, 23% were previously living in a residential aged care facility, 48% usually walked with a gait aid, and 38% were cognitively impaired prior to their injury. The median acute and total LOS were 8 (IQR 5-13) and 20 (IQR 8-38) days. Approximately 71% (n = 179/251) of patients originally living in private residence returned home and 29% (n = 72/251) were discharged to a residential aged care facility. Previously mobile patients had a higher total LOS if they walked day 2-3 (10.3 days; 95% CI 3.2, 17.4) or transferred with a mechanical lifter or did not get out of bed day 1 (7.6 days; 95% CI 0.6, 14.6) compared to those who walked day 1 postoperatively. Previously mobile patients from private residence had a reduced odds of return to private residence if they walked day 2-3 (OR 0.38; 95% CI 0.17, 0.87), day 4 + (OR 0.38; 95% CI 0.15, 0.96), or if they only sat, stood or stepped on the spot day 1 (OR 0.29; 95% CI 0.13, 0.62) when compared to those who walked day 1 postoperatively. Among patients from private residence, each additional physiotherapy session per day was associated with a -2.2 (95% CI -3.3, -1.0) day shorter acute LOS, and an increased log odds of return to private residence (OR 1.76; 95% CI 1.02, 3.02). CONCLUSION: Hip fracture patients who walked earlier, were more active day 1 postoperatively, and/or received a higher number of physiotherapy sessions were more likely to return home after a shorter LOS.

Post-discharge complications and hospital readmissions are associated with nutritional risk and malnutrition status in a cohort of Canadian pediatric patients.

BACKGROUND: This study constitutes a secondary analysis of a prospective cohort aiming to evaluate the potential correlation between nutritional risk and status at admission with the occurrence of post-discharge complications and hospital readmissions in children receiving care at high resource Centres. METHODS: Data was collected from 5 Canadian tertiary pediatric Centers between 2012 and 2016. Nutritional risk and status were evaluated at hospital admission with validated tools (STRONGkids and Subjective Global Nutrition Assessment [SGNA]) and anthropometric measurements. Thirty days after discharge, occurrence of post-discharge complications and hospital readmission were documented. RESULTS: A total of 360 participants were included in the study (median age, 6.1 years; median length of stay, 5 days). Following discharge, 24.1% experienced complications and 19.5% were readmitted to the hospital. The odds of experiencing complications were nearly tripled for participants with a high nutritional risk compared to a low risk (OR = 2.85; 95% CI [1.08-7.54]; P = 0.035) and those whose caregivers reported having a poor compared to a good appetite (OR = 2.96; 95% CI [1.59-5.50]; P < 0.001). According to SGNA, patients identified as malnourished had significantly higher odds of complications (OR, 1.92; 95% CI, 1.15-3.20; P = 0.013) and hospital readmission (OR, 1.95; 95% CI, 1.12-3.39; P = 0.017) than to those well-nourished. CONCLUSIONS: This study showed that complications and readmission post-discharge are common, and these are more likely to occur in malnourished children compared to their well-nourished counterparts. Enhancing nutritional care during admission, at discharge and in the community may be an area for future outcome optimization.

Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis.

BACKGROUND: The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes. METHODS: Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders. RESULTS: The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes. CONCLUSIONS: Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Single center assessment of the role of Oakland score among patients admitted for acute lower gastrointestinal bleeding.

BACKGROUND/OBJECTIVES: The Oakland score was developed to predict safe discharge in patients who present to the emergency department with lower gastrointestinal bleeding (LGIB). In this study, we retrospectively evaluated if this score can be implemented to assess safe discharge (score ≤ 10) at WellStar Atlanta Medical Center (WAMC). METHODS: A retrospective cohort study of 108 patients admitted at WAMC from January 1, 2020 to December 30, 2021 was performed. Patients with LGIB based on the ICD-10 codes were included. Oakland score was calculated using 7 variables (age, sex, previous LGIB, digital rectal exam, pulse, systolic blood pressure (SBP) and hemoglobin (Hgb)) for all patients at admission and discharge from the hospital. The total score ranges from 0 to 35 and a score of ≤ 10 is a cut-off that has been shown to predict safe discharge. Hgb and SBP are the main contributors to the score, where lower values correspond to a higher Oakland score. Descriptive and multivariate analysis was performed using SPSS 23 software. RESULTS: A total of 108 patients met the inclusion criteria, 53 (49.1%) were female with racial distribution was as follows: 89 (82.4%) African Americans, 17 (15.7%) Caucasian, and 2 (1.9%) others. Colonoscopy was performed in 69.4% patients; and 61.1% patients required blood transfusion during hospitalization. Mean SBP records at admission and discharge were 129.0 (95% CI, 124.0-134.1) and 130.7 (95% CI,125.7-135.8), respectively. The majority (59.2%) of patients had baseline anemia and the mean Hgb values were 11.0 (95% CI, 10.5-11.5) g/dL at baseline prior to hospitalization, 8.8 (95% CI, 8.2-9.5) g/dL on arrival and 9.4 (95% CI, 9.0-9.7) g/dL at discharge from hospital. On admission, 100/108 (92.6%) of patients had an Oakland score of > 10 of which almost all patients (104/108 (96.2%)) continued to have persistent elevation of Oakland Score greater than 10 at discharge. Even though, the mean Oakland score improved from 21.7 (95% CI, 20.4-23.1) of the day of arrival to 20.3 (95% CI, 19.4-21.2) at discharge, only 4/108 (3.7%) of patients had an Oakland score of ≤ 10 at discharge. Despite this, only 9/108 (8.33%) required readmission for LGIB during a 1-year follow-up. We found that history of admission for previous LGIB was associated with readmission with adjusted odds ratio 4.42 (95% CI, 1.010-19.348, p = 0.048). CONCLUSIONS: In this study, nearly all patients who had Oakland score of > 10 at admission continued to have a score above 10 at discharge. If the Oakland Score was used as the sole criteria for discharge most patients would not have met discharge criteria. Interestingly, most of these patients did not require readmission despite an elevated Oakland score at time of discharge, indicating the Oakland score did not really predict safe discharge. A potential confounder was the Oakland score did not consider baseline anemia during calculation. A prospective study to evaluate a modified Oakland score that considers baseline anemia could add value in this patient population.

Postdischarge functional outcomes in older patients with acute heart failure in Japan: the Longevity Improvement & Fair Evidence study.

BACKGROUND: The association between care needs level (CNL) at hospitalisation and postdischarge outcomes in older patients with acute heart failure (aHF) has been insufficiently investigated. METHODS: This population-based cohort study was conducted using health insurance claims and CNL data of the Longevity Improvement & Fair Evidence study. Patients aged ≥65 years, discharged after hospitalisation for aHF between April 2014 and March 2022, were identified. CNLs at hospitalisation were classified as no care needs (NCN), support level (SL) and CNL1, CNL2-3 and CNL4-5 based on total estimated daily care time as defined by national standard criteria, and varied on an ordinal scale between SL&CNL1 (low level) to CNL4-5 (fully dependent). The primary outcomes were changes in CNL and death 1 year after discharge, assessed by CNL at hospitalisation using Cox proportional hazard models. RESULTS: Of the 17 724 patients included, 7540 (42.5%), 4818 (27.2%), 3267 (18.4%) and 2099 (11.8%) had NCN, SL&CNL1, CNL2-3 and CNL4-5, respectively, at hospitalisation. One year after discharge, 4808 (27.1%), 3243 (18.3%), 2968 (16.7%), 2505 (14.1%) and 4200 (23.7%) patients had NCN, SL&CNL1, CNL2-3, CNL4-5 and death, respectively. Almost all patients' CNLs worsened after discharge. Compared to patients with NCN at hospitalisation, patients with SL&CNL1, CNL2-3 and CNL4-5 had an increased risk of all-cause death 1 year after discharge (hazard ratio [95% confidence interval]: 1.19 [1.09-1.31], 1.88 [1.71-2.06] and 2.56 [2.31-2.84], respectively). CONCLUSIONS: Older patients with aHF and high CNL at hospitalisation had a high risk of all-cause mortality in the year following discharge.

Impact of the COVID-19 pandemic on the complete rehabilitation journey of hip fracture patients in Italy: From surgical admission to rehabilitation facility discharge.

INTRODUCTION: The COVID-19 pandemic led to a significant reorganization of health services, potentially affecting the quality of care for major public health concerns such as proximal femoral fractures. This study aimed to investigate potential changes in the timing of various steps in the patient journey after a hip fracture during the pandemic in Piedmont, a region in Northern Italy. METHODS: A retrospective study was conducted on the discharge records of patients aged 65 or older who were admitted for hip surgery following a femur fracture in 2019 and 2020. The study examined four-time steps: duration from hospital admission to surgery, length of hospital stay, interval between hospital discharge and admission to the rehabilitation facility, and duration of stay at the rehabilitation facility. To mitigate biases linked to sex and age factors, groups well-balanced across 2019 and 2020 were created using propensity score estimation. RESULTS: The dataset consisted of two cohorts of 583 patients each for the years 2019 and 2020. The average duration from admission to surgery was approximately 1.9 days in both years, with 75% of patients undergoing surgery within 2 days of hospital admission. The average hospital stay reduced from 13.49 days in 2019 to 11.34 days in 2020. The gap between hospital discharge and admission to rehabilitation was approximately 10-12 days, and the average duration of stay at the rehabilitation facility was about 31.6 days. DISCUSSION: The study indicates that healthcare systems can exhibit resilience and adaptability, even during a global pandemic, to ensure high-quality and safe standards of care. However, further long-term studies are needed to fully understand the pandemic's impact on primary health outcomes following hip replacement surgery and subsequent rehabilitation. The potential role of telemedicine in reducing the time between steps also warrants further investigation.