LACE index

Machine learning (ML) techniques may improve readmission prediction performance in heart failure (HF) patients. This study aimed to assess the ability of ML algorithms to predict unplanned all-cause 30-day readmissions in HF elderly patients, and to compare them with conventional LACE (Length of hospitalization, Acuity, Comorbidities, Emergency department visits) index. All patients aged ≥ 65 years discharged alive between 2010 and 2019 after a hospitalization for acute HF were included in this retrospective cohort study...

BACKGROUND: The frequency of readmissions after COVID-19 hospitalizations is uncertain, as is whether current readmission prediction equations are useful for discharge risk stratification of COVID-19 survivors or for comparing among hospitals. We sought to determine the frequency and predictors of death or unplanned readmission after a COVID-19 hospital discharge. METHODS: We conducted a retrospective cohort study of all adults (≥ 18 yr) who were discharged alive from hospital after a nonpsychiatric, nonobstetric, acute care admission for COVID-19 between Jan...

The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review. A systematic review carried out by electronic databases from 2011-2021. The studies included a LACE index score for 30-day of readmission and patients with all types of diseases and were published in the English language...

Transitions to and from primary care are a time of concern, especially for patients with chronic conditions and complex care needs. The Edmonton Southside Primary Care Network (ESPCN) developed a process for nurses to ensure timely post-discharge follow-up calls and physician appointments after hospitalization, assessing readmission risk with LACE and Clinical Frailty scores. Over 84% of eligible high-risk discharges received follow-up within 14 days. Of 7,400 index discharges, 1,464 had an emergency department revisit and 725 patients were readmitted within 30 days...

INTRODUCTION: Our aim was to study the prevalence of frailty and its associated factors in a subacute geriatric ward. METHODS: This was a cross-sectional study of 167 participants between June 2018 and June 2019. Baseline demographics and participants' Mini Nutritional Assessment, Geriatric Depression Scale, Mini Mental State Examination, Charlson's Comorbidity Index and LACE index scores were obtained. Functional measurements such as modified Barthel's Index scores and hand grip strength (HGS) were taken...

This study evaluated the utility and performance of the LACE index and HOSPITAL score with consideration of the type of diagnoses and assessed the accuracy of these models for predicting readmission risks in patient cohorts from 2 large academic medical centers. Admissions to 2 hospitals from 2011 to 2015, derived from the Vizient Clinical Data Base and regional health information exchange, were included in this study (291 886 encounters). Models were assessed using Bayesian information criterion and area under the receiver operating characteristic curve...

PURPOSE: This study aims to determine if the primary care provider (PCP) assessment of readmission risk is comparable to the validated LACE tool at predicting readmission to hospital. METHODS: A prospective observational study of recently discharged adult patients clustered by PCPs in the primary care setting. Physician readmission risk assessment was determined via a questionnaire after the PCP reviewed the hospital discharge summary. LACE scores were calculated using administrative data and the discharge summary...

OBJECTIVE: Spinal fusion is one of the most common neurosurgical procedures. The LACE (length of stay, acuity of admission, Charlson Comorbidity Index [CCI] score, and emergency department [ED] visits within the previous 6 months) index was developed to predict readmission but has not been tested in a large, homogeneous spinal fusion population. The present study evaluated use of the LACE+ score for outcome prediction after lumbar fusion. METHODS: LACE+ scores were calculated for all patients (n = 1598) with complete information who underwent single-level, posterior-only lumbar fusion at a single university medical system...

OBJECTIVES: Discharge planning is an effective strategy to prevent adverse health events and reduce medical expenditures. The high-risk target populations of discharged elderly patients and important predictors for the occurrence of adverse events are still not clear. Therefore, the purposes of this study were to examine the validity of discharge planning screening tools in sufficiently identifying high-risk adverse events to health after discharge and to compare two screening tools with our study model...

BACKGROUND: Uninsured patients are susceptible to being lost to follow-up (LTFU). In addition to being uninsured, follow-up is especially critical among this population during transitions of care when patients are discharged from the hospital setting back to home because follow-up care after discharge has been proven to prevent readmissions. The LACE tool has historically been used to predict readmissions, but the LACE tool has not been used to evaluate patients' risk of LTFU. OBJECTIVE: To understand the potential translation of the LACE tool for use in uninsured patients' follow-up care, we assessed the association between LACE index scores and patients' risk of LTFU during a pharmacist-led transitions of care program for uninsured patients...

INTRODUCTION: Readmissions after an acute care hospitalization are relatively common, costly to the health care system, and are associated with significant burden for patients. As one way to reduce costs and simultaneously improve quality of care, hospital readmissions receive increasing interest from policy makers. It is only relatively recently that strategies were developed with the specific aim of reducing unplanned readmissions using prediction models to identify patients at risk...

BACKGROUND: Prior literature suggests that psychosocial factors adversely impact health and health care utilization outcomes. However, psychosocial factors are typically not captured by the structured data in electronic medical records (EMRs) but are rather recorded as free text in different types of clinical notes. OBJECTIVE: We here propose a text-mining approach to analyze EMRs to identify older adults with key psychosocial factors that predict adverse health care utilization outcomes, measured by 30-day readmission...

Intestinal ischemia results from diminished perfusion of the colon resulting in tissue hypoxia. Anecdotal reports suggest that cocaine-induced intestinal ischemia has the highest mortality and longer length of stay among the vasoconstrictors. The present study aimed to summarize the available studies in the literature to assess the effect of routes of consumption on the outcomes of cocaine-induced intestinal ischemia. We conducted a systematic search of MEDLINE from inception through October 2019. Studies of cocaine-induced intestinal ischemia were included if data were available on comorbidities, mortality, and hospital length of stay (LOS)...

In this study of patients admitted with COVID-19, we examined differences between the two waves in patient characteristics and outcomes. Data were collected from the first COVID-19 admission to the end of study (01/03/2020-31/03/2021). Data were adjusted for age and sex and presented as odds ratios (OR) with 95% confidence intervals (CI). Among 12,471 admissions, 1452 (11.6%) patients were diagnosed with COVID-19. On admission, the mean (± SD) age of patients with other causes was 68.3 years (± 19.8) and those with COVID-19 in wave 1 was 69...

BACKGROUND: This study aims to compare the LACE + readmission index to a novel hepatopancreatobiliary readmission risk score (HRRS) in predicting post-operative hepatopancreatobiliary (HPB) cancer patient readmissions. METHODS: A retrospective review of 104 postoperative HPB cancer patients from January 2017 to July of 2019 was performed. Univariable and multivariable analyses were utilized. RESULTS: The LACE + index did not predict 30-day (OR 1...

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model...

Background: The main purpose of this study is to predict the all-cause risk of 30-day readmission by employing the back-propagation neural network (BPNN) in comparison with traditional risk assessment tools of LACE index and HOSPITAL scores. Methods: This was a retrospective cohort study from January 1st, 2018 to December 31st, 2019. A total of 55,688 hospitalizations from a medical center in Taiwan were examined. The LACE index (length of stay, acute admission, Charlson comorbidity index score, emergency department visits in previous 6 months) and HOSPITAL score (hemoglobin level at discharge, discharge from an Oncology service, sodium level at discharge, procedure during hospital stay, Index admission type, number of hospital admissions during the previous year, length of stay) are calculated...

Hospital 30-day readmissions remain a major quality and cost indicator. Traditional readmission risk scores, such as LACE (length of stay, acuity of admission, Charlson comorbidity index, and emergency department visits), may be suboptimal in special patient populations, such as those with sepsis. As sepsis survivorship improves, there is a need to determine which variables might be associated with a decrease in 30-day readmission. We completed a retrospective analysis reviewing patients with sepsis who had unplanned 30-day readmissions...

OBJECTIVE: Traditional reliable change index (RCI) methods may be psychometrically limited due to their inability to account for particularly high or low baseline performance and regression to the mean following serial testing. The current study sought to examine differences between RCI and standardized regression-based (RBz) methods in a cohort of adolescent athletes engaged in sport-related concussion recovery. METHODS: Consultation records and results of computerized testing data via the Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) battery were retrospectively reviewed among 240 adolescent athletes involved in return-to-play protocols following a sport-related concussion...

OBJECTIVES: A number of instruments are used to identify potentially inappropriate medications (PIMs) in the elderly. In this study we identify PIMs in elderly patients and aim to compare three different instruments used to assess PIMs. METHODS: In this prospective cohort study, we compared medications of elderly patients against three commonly used instruments: Beers' list, PRISCUS and STOPP/START, at the point of hospital admission and discharge in the nephrology clinic of Kosovo's largest hospital...