One-year survival after admission in the intensive care unit: a retrospective cohort study.

INTRODUCTION: Improving survival is the objective of intensive care units. Various factors affect long-term outcomes. The objective was to explore survival and the associated factors 1 year after admission to the intensive care unit. METHOD: This is an observational, descriptive, and analytical study in a retrospective cohort of adults admitted to an intensive care unit at a regional hospital during the first semester of 2022. Records of 218 patients from an anonymized database were analyzed. RESULTS: The average age was 61 years, and the average APACHE II score was 15 points (24% expected mortality). Survival 1 year after admission was 57.8%. Factors associated with 1-year survival in the Cox regression model were age and APACHE II. The univariate analysis showed that the cancer was significantly associated with lethality after 1 year (OR 10.55; 95%CI 1.99-55.76). CONCLUSION: One-year survival after intensive care unit decreases by 16.1%. Factors that significantly reduced survival were old age, severity, and oncologic cause at admission.

Implementing telemedicine with 5G technologies in a nursing home for reducing emergency admissions- study protocol of a mixed-methods study.

BACKGROUND: By transmitting various types of data, telemedical care enables the provision of care where physicians and patients are physically separated. In nursing homes, telemedicine has the potential to reduce hospital admissions in nonemergency situations. In this study, telemedicine devices were implemented with the new 5G mobile communications standard in selected wards of a large nursing home in Northwest Germany. The main aim of this study is to investigate which individual and organizational factors are associated with the use of telemedicine devices and how users perceive the feasibility and implementation of such devices. Moreover, it is investigated whether the telemedical devices help to reduce the number of emergency admissions. METHODS: Telemedicine devices are implemented over an 18-month period using a private 5G network, and all users receive training. This study uses qualitative and quantitative methods: To assess the individual and organizational factors associated with the use of telemedicine devices, survey data from employees before and after the implementation of these devices are compared. To assess the perception of the implementation process as well as the feasibility and usability of the telemedical devices, the nursing staff, physicians, medical assistants and residents are interviewed individually. Moreover, every telemedicine consultation is evaluated with a short survey. To assess whether the number of emergency admissions decreased, data from one year before implementation and one year after implementation are compared. The data are provided by the integrated dispatch centre and emergency medical services (EMS) protocols. The interview data are analysed via structured qualitative content analysis according to Kuckartz. Survey data are analysed using multivariable regression analysis. DISCUSSION: Learnings from the implementation process will be used to inform future projects implementing telemedicine in care organizations, making the final telemedicine implementation and care concept available to more nursing homes and hospitals. Moreover, the study results can be used to provide use cases for appropriate and targeted application of telemedicine in nursing homes and to define the role of 5G technologies in these use cases. If the intervention is proven successful, the results will be used to promote 5G network rollout. TRIAL REGISTRATION: German Clinical Trials Register - trial registration number: DRKS00030598.

Tranexamic Acid Administered at Time of Hospital Admission Does Not Decrease Transfusion Rates or Blood Loss for Extracapsular Hip Fractures: A Double-Blinded Randomized Clinical Trial.

OBJECTIVES: To evaluate tranexamic acid (TXA) when administered immediately on hospital presentation in patients with extracapsular peritrochanteric hip fractures to determine its effect on (1) transfusion rates, (2) estimated blood loss, and (3) complications. DESIGN: Prospective, double-blinded, randomized clinical trial. SETTING: Single-center, Level 1 trauma center. PATIENT SELECTION CRITERIA: All patients with isolated OTA/AO 31-A fracture patterns from 2018 to 2022 were eligible for inclusion. Study drug was administered in the emergency department at the time of presentation-1-g bolus over 10 minutes followed by a 1-g infusion over 8 hours. OUTCOME MEASURES AND COMPARISONS: The primary outcome was the rate of red blood cell transfusion hospital days 1-4. Secondary outcomes included estimated blood loss and complications including venous thromboembolic events, stroke, myocardial infarction, all-cause 90-day readmissions, and all-cause mortality. RESULTS: One hundred twenty-eight patients were included-64 patients were randomized to intravenous TXA and 64 patients to intravenous normal saline (ie, placebo). There was no difference in the rate of red blood cell transfusion between treatment arms between hospital days 1-4 (27% in the TXA arm vs. 31% in the placebo arm, P = 0.65). Patients randomized to placebo who required transfusion received a mean of 2.30 units compared with 1.94 units in the TXA cohort (P = 0.55). There was no difference in the estimated blood loss between hospital days 1-4. There was no difference in the incidence of postoperative complications including venous thromboembolic events, stroke, myocardial infarction, 90-day readmission, or death. CONCLUSIONS: The results of this study do not support the use of preoperative TXA for reducing blood loss for geriatric patients with extracapsular hip fractures. LEVEL OF EVIDENCE: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.

Admission characteristics of patients with short term hospitalization.

BACKGROUND: Sheba Medical Center (SMC) is the largest hospital in Israel and has been coping with a steady increase in total Emergency Department (ED) visits. Over 140,000 patients arrive at the SMC's ED every year. Of those, 19% are admitted to the medical wards. Some are very short hospitalizations (one night or less). This puts a heavy burden on the medical wards. We aimed to identify the characteristics of short hospitalizations. METHODS: We retrospectively retrieved data of consecutive adult patients admitted to our hospital during January 1, 2013, to December 31, 2019. We limited the cohort to patients who were admitted to the medical wards. We divided the study group into those with short, those with non-short hospitalization and those who were discharged from the ED. RESULTS: Out of 133,126 admissions, 59,994 (45.0%) were hospitalized for short term. Patients in the short hospitalization group were younger and had fewer comorbidities. The highest rate of short hospitalization was recorded during night shifts (58.4%) and the rate of short hospitalization was associated with the ED daily patient load (r = 0.35, p < 0.001). The likelihood of having a short hospitalization was most prominent in patients with suicide attempt (80.0% of those admitted for this complaint had a short hospitalization), followed by hypertension (68.6%). However, these complaints accounted for only 0.7% of the total number of short hospitalizations. Cardiac and neurological complaints however, made up 27.4% of the short hospitalizations. The 30-days mortality rate was 7.0% in the non-short hospitalization group, 4.3% in the short hospitalization group and 0.9% in those who were discharged from the ED. CONCLUSIONS: Short hospitalizations in medical wards have special characteristics that may render them predictable. Increasing the rate of treating personnel per patient during peak hours and referring subsets of patients with cardiac and neurological complaints to ED-associated short term observation units may decrease short admissions to medical departments.

Characteristics of Admissions from the Pediatric Emergency Department Observation Unit.

OBJECTIVE: Emergency department observation units (EDOUs) are used to manage common pediatric illnesses and reduce the admission rate to the hospital. Most of these patients require a short duration of observation before a determination can be made whether they need to be admitted to the hospital or safely discharged home. The purpose of this study was to determine the characteristics of admissions from a pediatric EDOU for the top 10 diagnoses admitted to the unit. This will help standardize the disposition of such types of patients from the ED, hence improving the efficiency of the unit. METHODS: We did a retrospective surveillance study of admitted patients from 0 to 18 years of age from the EDOU for the top 10 diagnoses. Descriptive data were reported using percentages and medians with interquartile ranges. Pearson χ2 tests were used to determine significant differences (P < 0.05) between the reason for admission and medical history. RESULTS: In total, 520 patients were admitted from the EDOU during the study period. The median patient age was 3.39 years, with most being Hispanic and female. The top three primary diagnoses of all admitted patients were cellulitis and abscess, gastroenteritis, and bronchiolitis. Sixty-three percent of all admitted patients had secondary diagnoses. Most of these patients were admitted to the inpatient unit due to progression of the primary condition. CONCLUSIONS: The characteristics of admissions from the EDOU may help us to understand historical experience regarding diagnoses, timing, and indications of deterioration, resource utilization, and other metrics that resulted in transfers of EDOU patients to the intensive care unit/operating room/inpatient units.

A multi-state analysis on the effect of deprivation and race on PICU admission and mortality in children receiving Medicaid in United States (2007-2014).

INTRODUCTION: In the United States (US), racial and socioeconomic disparities have been implicated in pediatric intensive care unit (PICU) admissions and outcomes, with higher rates of critical illness in more deprived areas. The degree to which this persists despite insurance coverage is unknown. We investigated whether disparities exist in PICU admission and mortality according to socioeconomic position and race in children receiving Medicaid. METHODS: Using Medicaid data from 2007-2014 from 23 US states, we tested the association between area level deprivation and race on PICU admission (among hospitalized children) and mortality (among PICU admissions). Race was categorized as Black, White, other and missing. Patient-level ZIP Code was used to generate a multicomponent variable describing area-level social vulnerability index (SVI). Race and SVI were simultaneously tested for associations with PICU admission and mortality. RESULTS: The cohort contained 8,914,347 children (23·0% Black). There was no clear trend in odds of PICU admission by SVI; however, children residing in the most vulnerable quartile had increased PICU mortality (aOR 1·12 (95%CI 1·04-1·20; p = 0·0021). Black children had higher odds of PICU admission (aOR 1·04; 95% CI 1·03-1·05; p < 0·0001) and higher mortality (aOR 1·09; 95% CI 1·02-1·16; p = 0·0109) relative to White children. Substantial state-level variation was apparent, with the odds of mortality in Black children varying from 0·62 to 1·8. CONCLUSION: In a Medicaid cohort from 2007-2014, children with greater socioeconomic vulnerability had increased odds of PICU mortality. Black children were at increased risk of PICU admission and mortality, with substantial state-level variation. Our work highlights the persistence of sociodemographic disparities in outcomes even among insured children.

Predictors of Care Home Admission and Survival Rate in Patients With Syndromes Associated With Frontotemporal Lobar Degeneration in Europe.

BACKGROUND AND OBJECTIVES: Data on care home admission and survival rates of patients with syndromes associated with frontotemporal lobar degeneration (FTLD) are limited. However, their estimation is essential to plan trials and assess the efficacy of intervention. Population-based registers provide unique samples for this estimate. The aim of this study was to assess care home admission rate, survival rate, and their predictors in incident patients with FTLD-associated syndromes from the European FRONTIERS register-based study. METHODS: We conducted a prospective longitudinal multinational observational registry study, considering incident patients with FTLD-associated syndromes diagnosed between June 1, 2018, and May 31, 2019, and followed for up to 5 years till May 31, 2023. We enrolled patients fulfilling diagnosis of the behavioral variant frontotemporal dementia (bvFTD), primary progressive aphasia (PPA), progressive supranuclear palsy (PSP) or corticobasal syndrome (CBS), and FTD with motor neuron disease (FTD-MND). Kaplan-Meier analysis and Cox multivariable regression models were used to assess care home admission and survival rates. The survival probability score (SPS) was computed based on independent predictors of survivorship. RESULTS: A total of 266 incident patients with FTLD were included (mean age ± SD = 66.7 ± 9.0; female = 41.4%). The median care home admission rate was 97 months (95% CIs 86-98) from disease onset and 57 months (95% CIs 56-58) from diagnosis. The median survival was 90 months (95% CIs 77-97) from disease onset and 49 months (95% CIs 44-58) from diagnosis. Survival from diagnosis was shorter in FTD-MND (hazard ratio [HR] 4.59, 95% CIs 2.49-8.76, p < 0.001) and PSP/CBS (HR 1.56, 95% CIs 1.01-2.42, p = 0.044) compared with bvFTD; no differences between PPA and bvFTD were found. The SPS proved high accuracy in predicting 1-year survival probability (area under the receiver operating characteristic curve = 0.789, 95% CIs 0.69-0.87), when defined by age, European area of residency, extrapyramidal symptoms, and MND at diagnosis. DISCUSSION: In FTLD-associated syndromes, survival rates differ according to clinical features and geography. The SPS was able to predict prognosis at individual patient level with an accuracy of ∼80% and may help to improve patient stratification in clinical trials. Future confirmatory studies considering different populations are needed.

Physician performance scores used to predict emergency department admission numbers and excessive admissions burden.

BACKGROUND: Overcrowding in hospitals is associated with a panoply of adverse events. Inappropriate decisions in the emergency department (ED) contribute to overcrowding. The performance of individual physicians as part of the admitting team is a critical factor in determining the overall rate of admissions. While previous attempts to model admission numbers have been based on a range of variables, none have included measures of individual staff performance. We construct reliable objective measures of staff performance and use these, among other factors, to predict the number of daily admissions. Such modelling will enable enhanced workforce planning and timely intervention to reduce inappropriate admissions and overcrowding. METHODS: A database was created of 232 245 ED attendances at Meir Medical Center in central Israel, spanning the years 2016-2021. We use several measures of physician performance together with historic caseload data and other variables to derive statistical models for the prediction of ED arrival and admission numbers. RESULTS: Our models predict arrival numbers with a mean absolute percentage error (MAPE) of 6.85%, and admission numbers with a MAPE of 10.6%, and provide a same-day alert for heavy admissions burden with 75% sensitivity for a false-positive rate of 20%. The inclusion of physician performance measures provides an essential boost to model performance. CONCLUSIONS: Arrival number and admission numbers can be predicted with sufficient fidelity to enable interventions to reduce excess admissions and smooth patient flow. Individual staff performance has a strong effect on admission rates and is a critical variable for the effective modelling of admission numbers.

Reduced Time to Admit Emergency Department Patients to Inpatient Beds Using Outflow Barrier Analysis and Process Improvement.

Objective: Because admitted emergency department (ED) patients waiting for an inpatient bed contribute to dangerous ED crowding, we conducted a patient flow investigation to discover and solve outflow delays. After solution implementation, we measured whether the time admitted ED patients waited to leave the ED was reduced. Methods: In June 2022, a team using Lean Healthcare methodologies identified flow delays and underlying barriers in a Midwest, mid-sized hospital. We calculated barriers' magnitudes of burden by the frequency of involvement in delays. During October-December 2022, solutions targeting barriers were implemented. In October 2023, we tested whether waiting time, defined as daily median time in minutes from admission disposition to departure (ADtoD), declined by conducting independent sample, single-tailed t-test comparing pre- to post-intervention time periods, January 1-September 30, 2022 (273 days) to January 1-September 30, 2023 (273 days). Additionally, we regressed ADtoD onto pre-/post period while controlling for ED volume (total daily admissions and ED daily encounters) and hospital occupancy. A run chart analysis of monthly median ADtoD assessed improvement sustainability. Results: Process mapping revealed that three departments (ED, environmental services [EVS], and transport services) co-produced the outflow of admitted ED patients wherein 18 delays were identified. The EVS-clinical care collaboration failures explained 61% (11/18) of delays. Technology contributed to 78% (14/18) of delays primarily because staff's technology did not display needed information, a condition we coined "digital blindness." Comparing pre- and post-intervention days (3,144 patients admitted pre-intervention and 3,256 patients post), the median minutes a patient waited (ADtoD) significantly decreased (96.4 to 87.1 minutes, P = 0.04), even while daily ED encounter volume significantly increased (110.7 to 117.3 encounters per day, P < 0.001). After controlling in regression for other factors associated with waiting, the intervention reduced ADtoD by 12.7 minutes per patient (standard error 5.10, P = 0.01; 95% confidence interval -22.7, -2.7). We estimate that the intervention translated to ED staff avoiding 689 hours of admitted patient boarding over nine months (ADtoD coefficient [-12.7 minutes] multiplied by post-intervention ED admissions [3,256] and divided by 60). Run chart analysis substantiated the intervention's sustainability over nine months. Conclusion: After systemwide patient flow investigation, solutions resolving digital blindness and environmental services-clinical care collaboration failures significantly reduced ED admitted patient boarding.

Patient-Clinician Diagnostic Concordance upon Hospital Admission.

OBJECTIVES: This study aimed to pilot an application-based patient diagnostic questionnaire (PDQ) and assess the concordance of the admission diagnosis reported by the patient and entered by the clinician. METHODS: Eligible patients completed the PDQ assessing patients' understanding of and confidence in the diagnosis 24 hours into hospitalization either independently or with assistance. Demographic data, the hospital principal problem upon admission, and International Classification of Diseases 10th Revision (ICD-10) codes were retrieved from the electronic health record (EHR). Two physicians independently rated concordance between patient-reported diagnosis and clinician-entered principal problem as full, partial, or no. Discrepancies were resolved by consensus. Descriptive statistics were used to report demographics for concordant (full) and nonconcordant (partial or no) outcome groups. Multivariable logistic regressions of PDQ questions and a priori selected EHR data as independent variables were conducted to predict nonconcordance. RESULTS: A total of 157 (77.7%) questionnaires were completed by 202 participants; 77 (49.0%), 46 (29.3%), and 34 (21.7%) were rated fully concordant, partially concordant, and not concordant, respectively. Cohen's kappa for agreement on preconsensus ratings by independent reviewers was 0.81 (0.74, 0.88). In multivariable analyses, patient-reported lack of confidence and undifferentiated symptoms (ICD-10 "R-code") for the principal problem were significantly associated with nonconcordance (partial or no concordance ratings) after adjusting for other PDQ questions (3.43 [1.30, 10.39], p = 0.02) and in a model using selected variables (4.02 [1.80, 9.55], p < 0.01), respectively. CONCLUSION: About one-half of patient-reported diagnoses were concordant with the clinician-entered diagnosis on admission. An ICD-10 "R-code" entered as the principal problem and patient-reported lack of confidence may predict patient-clinician nonconcordance early during hospitalization via this approach.

Value of an orthopaedic admission proforma.

BACKGROUND: Admission notes are an important aspect of clinical practice and a vital means of communication among healthcare professionals. Incomplete or poor clinical documentation on admission can lead to delayed surgery. PATIENTS AND METHODS: A retrospective analysis of 20 consecutive admission notes to our department was compared against the Royal College of Surgeons standards (GSP 2014). A new admission proforma was designed, and after the introductory period, two further retrospective cycles were performed. RESULTS: In total, 60 admission notes were analysed. Following the introduction of the proforma, there was an overall improvement in the documentation of the quality and quantity of notes studied. CONCLUSION: Our study demonstrated that a well-structured admission protocol can improve the overall quality of admission notes.

Improving ED admissions forecasting by using generative AI: An approach based on DGAN.

BACKGROUND AND OBJECTIVE: Generative Deep Learning has emerged in recent years as a significant player in the Artificial Intelligence field. Synthesizing new data while maintaining the features of reality has revolutionized the field of Deep Learning, proving to be particularly useful in contexts where obtaining data is challenging. The objective of this study is to employ the DoppelGANger algorithm, a cutting-edge approach based on Generative Adversarial Networks for time series, to enhance patient admissions forecasting in a hospital Emergency Department. METHODS: We employed the DoppelGANger algorithm in a sequential methodology, conditioning generated time series with unique attributes to optimize data utilization. After confirming the successful creation of synthetic data with new attribute values, we adopted the Train-Synthetic-Test-Real framework to ensure the reliability of our synthetic data validation. We then augmented the original series with synthetic data to enhance the Prophet model's performance. This process was applied to two datasets derived from the original: one with four years of training followed by one year of testing, and another with three years of training and two years of testing. RESULTS: The experimental results show that the generative model outperformed Prophet on the forecasting task, improving the SMAPE from 7.30 to 6.99 with the four-year training set, and from 22.84 to 7.41 for the three-year training set, all in daily aggregations. For the data replacement task, the Prophet SMAPE values decreased to 6.84 and 7.18 for four and three-year sets on the same aggregation. Additionally, data augmentation reduced the SMAPE to 6.79 for a one-year test set and achieved 8.56 for the two-year test set, surpassing the performance achieved by the same Prophet model when trained only on real data. Results for the remaining aggregations were consistent. CONCLUSIONS: The findings of this study suggest that employing a generative algorithm to extend a training dataset can effectively enhance predictive models within the domain of Emergency Department admissions. The improvement can lead to more efficient resource allocation and patient management.

Optimising Cardiology Ambulatory Care Pathways: A Comprehensive Approach to Admission Avoidance and Timely Intervention in a Post-Pandemic Healthcare Landscape.

INTRODUCTION: Cardiovascular diseases are a substantial burden on healthcare systems, contributing significantly to avoidable hospital admissions. We propose a Cardiology Ambulatory Care Pathway. METHODS: Conducted a 1 month study redirecting admission streams from primary and emergency care, into a Cardiology Ambulatory Care Hub providing triage in Hot Clinic, and access to a Multi-Modal Testing Platform. RESULTS: 98 patients were referred to the Ambulatory Care Hub, 91 of which avoided admission. 52 patients received care in the cardiology hub, 38 of which required further testing. CONCLUSION: We successfully streamlined various service streams, reducing admissions, and improving patient outcomes. Outpatient CTCA, ambulatory ECG, and echocardiography proved instrumental. We project a cost saving of £53,379 per month in bed days (£640,556 annual saving).

The intensive care population profile in Denmark before and during the first wave of the SARS-CoV-2 pandemic; a national register-based study.

OBJECTIVE: To describe the change in admission rate and demographic profile of patients admitted to ICUs throughout Denmark before and during first wave of the SARS-CoV-2 pandemic. METHODS: A register-based national observational study of all patients admitted to ICU from December 2019 until April 2020, comparing ICU admission before and after lockdown. RESULTS: The number of admissions declined, especially in the age groups below 18 and above 70. The sex distribution and the comorbidity-level remained unchanged. The length of hospital stay prior to ICU admission increased. Overall fewer patients were admitted electively. CONCLUSION: Fewer patients were admitted to ICU and waited longer for admission during the first wave of the COVID-19 pandemic.

Guest Editorial - Shifting Dynamics: ICU Admissions in Denmark during the First Wave of the COVID-19 Pandemic.

The advent of the SARS-CoV-2 pandemic brought unprecedented challenges to healthcare systems worldwide. As the virus spread across continents, hospitals faced a surge in patient admissions, particularly to intensive care units (ICUs). Understanding the impact of the pandemic on the sickest patients admitted to hospital is crucial for enhancing preparedness for future outbreaks. In this edition of the journal, authors from Denmark report on a register-based national observational study that sheds light on the changes in ICU admission rates and demographic profiles of patients during the initial phase of the pandemic.

Effect of enforcement of the national referral guidelines on patterns of orthopedic admissions to Kenyatta National Hospital, Kenya: Pre-post intervention study.

BACKGROUND: Inappropriate utilization of higher-level health facilities and ineffective management of referral processes in resource-limited settings are becoming increasingly a concern in health care management in developing countries. This is characterized by self-referral and frequent bypassing of the nearest health facilities coupled with low formal referral mechanisms. This scenario lends itself to a situation where uncomplicated medical conditions are unnecessarily managed in a high-cost health facility. On July 1, 2021, Kenyatta National Hospital (KNH) enforced the Kenya Health Sector Referral Implementation Guidelines, 2014, which required patients to receive approval from the KNH referral office and a formal referral letter to be admitted at KNH to reduce the number of walk-ins and allow KNH to function as a referral facility as envisioned by the Kenya 2010 Constitution and KNH legal statue of 1987. OBJECTIVE: To determine the effect of enforcing the national referral guidelines on patterns of orthopaedic admissions to the KNH. This was a pre-post intervention study. Data abstraction was done for 459 and 446 charts before and after the enforcement of the national referral guidelines, respectively. RESULTS: Enforcement of the national referral guidelines reduced the proportion of walk-in admissions from 54.9% to 45.1%, while the proportion of facility referrals increased from 46.6% to 53.4% (p = 0.013). The percentage of non-trauma orthopaedic admissions doubled from 12.0% to 22.4% (p<0.001). There was also an increase in admissions through the Outpatient Clinic and Corporate Outpatient Clinic. The proportion of emergency admissions declined, while that of elective admissions increased. The increase in elective cases was mainly driven by the increase in female admissions with active insurance cover, tertiary education, non-trauma-related conditions and older age groups. However, the use of official formal written referral letters did not change despite the enforcement of the national referral guidelines. CONCLUSION: The enforcement of the national referral guidelines reduced the proportion of walk-ins' admissions to KNH. While the enforcement of the national referral guidelines had no effect on the use of official formal written referral letters, it did limit access and utilization of inpatient orthopedic services for young male patients with no active insurance cover and in need of emergency orthopedic care.

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.

Analysis of intensive care unit admissions for older adults with femoral fractures: a retrospective cohort.

OBJECTIVES: To describe the historical series of admissions to the Intensive Care Unit of older adults with femoral fractures, and verify the association between age and injury characteristics and treatment, nursing workload, severity, and clinical evolution in the unit. METHOD: Retrospective cohort of 295 older adults (age ≥60 years) admitted to the Intensive Care Unit of a hospital in São Paulo, between 2013 and 2019, and who presented with a femur fracture as the main cause of hospitalization. Variables regarding demographic characteristics, cause, and type of fracture, treatment provided, severity, nursing workload, and medical outcome of patients were analyzed. The Shapiro-Wilk, Wilcoxon-Mann-Whitney, Kruskal-Wallis tests and Pearson correlation were applied. RESULTS: There was an increase in older adults admission to the Intensive Care Unit from 2017 on. Female patients with distal femur fractures who died in the Intensive Care Unit had significantly (p < 0.05) higher median age than men, patients with shaft or proximal femur fractures, and survivors. CONCLUSION: The study findings highlight essential information for structuring care for older adults with femoral fractures who require intensive care.

Are heart attacks deadlier on weekends? Evidence of weekend effect in Brazil.

This article aims to examine the effects of weekend admission on in-hospital mortality for patients with acute myocardial infarction (AMI) in Brazil. Information from the Hospital Information System of the Unified Health System (SIH/SUS) of urgently admitted patients diagnosed with acute myocardial infarction (AMI) between 2008 and 2018 was used, made available through the Hospital Admission Authorization (AIH). Multivariable logistic regression models, controlling for observable patient characteristics, hospital characteristics and year and hospital-fixed effects, were used. The results were consistent with the existence of the weekend effect. For the model adjusted with the inclusion of all controls, the chance of death observed for individuals hospitalized on the weekend is 14% higher. Our results indicated that there is probably an important variation in the quality of hospital care depending on the day the patient is hospitalized. Weekend admissions were associated with in-hospital AMI mortality in Brazil. Future research should analyze the possible channels behind the weekend effect to support public policies that can effectively make healthcare equitable.