Log-transformed Length Of Stay Research Articles

Factors contributing to a longer length of stay in adults admitted to a quaternary spinal care center.

Longer hospital length of stay (LOS) has been associated with worse outcomes and increased resource utilization. However, diagnostic and patient-level factors associated with LOS have not been well studied on a large scale. The goal was to identify patient, surgical and organizational factors associated with longer patient LOS for adult patients at a high-volume quaternary spinal care center. We performed a retrospective analysis of 13,493 admissions from January 2006 to December 2019. Factors analyzed included age, sex, admission status (emergent vs scheduled), ASIA grade, operative vs non-operative management, mean blood loss, operative time, and adverse events. Specific adverse events included surgical site infection (SSI), other infection (systemic or UTI), neuropathic pain, delirium, dural tear, pneumonia, and dysphagia. Diagnostic categories included trauma, oncology, deformity, degenerative, and "other". A multivariable linear regression model was fit to log-transformed LOS to determine independent factors associated with patient LOS, with effects expressed as multipliers on mean LOS. Mean LOS for the population (SD) was 15.8 (34.0) days. Factors significantly (p < 0.05) associated with longer LOS were advanced patient age [multiplier on mean LOS 1.011/year (95% CI: 1.007-1.015)], emergency admission [multiplier on mean LOS 1.615 (95% CI: 1.337-1.951)], ASIA grade [multiplier on mean LOS 1.125/grade (95% CI: 1.051-1.205)], operative management [multiplier on mean LOS 1.211 (95% CI: 1.006-1.459)], and the occurrence of one or more AEs [multiplier on mean LOS 2.613 (95% CI: 2.188-3.121)]. Significant AEs included postoperative SSI [multiplier on mean LOS 1.749 (95% CI: 1.250-2.449)], other infections (systemic infections and UTI combined) [multiplier on mean LOS 1.650 (95% CI: 1.359-2.004)], delirium [multiplier on mean LOS 1.404 (95% CI: 1.103-1.787)], and pneumonia [multiplier on mean LOS 1.883 (95% CI: 1.447-2.451)]. Among the diagnostic categories explored, degenerative patients experienced significantly shorter LOS [multiplier on mean LOS 0.672 (95%CI: 0.535-0.844), p < 0.001] compared to non-degenerative categories. This large-scale study taking into account diagnostic categories identified several factors associated with patient LOS. Future interventions should target modifiable factors to minimize LOS and guide hospital resource allocation thereby improving patient outcomes and quality of care and decreasing healthcare-associated costs.

Association of care by a non-medical intensive care unit provider team with outcomes of medically critically ill patients.

To determine the association of boarding of critically ill medical patients on non-medical intensive care unit (ICU) provider teams with outcomes. A retrospective cohort study. ICUs in a tertiary academic medical center. Patients with medical critical illness. None. We compared outcomes for critically ill medical patients admitted to a non-medical specialty ICU team (April 1 - August 30, 2020) with those admitted to the medical ICU team (January 1, 2018 - March 31, 2020). The primary outcome was hospital mortality; secondary outcomes were hospital length of stay (LOS) and hospital disposition for survivors. Our cohort consisted of 1241 patients admitted to the medical ICU team and 230 admitted to non-medical ICU teams. Unadjusted hospital mortality (medical ICU, 38.8% vs non-medical ICU, 42.2%, p=0.33) and hospital LOS (7.4 vs 7.4days, p=0.96) were similar between teams. Among survivors, more non-medical ICU team patients were discharged home (72.6% vs 82.0%, p=0.024). After multivariable adjustment, we found no difference in mortality, LOS, or home discharge between teams. However, among hospital survivors, admission to a non-medical ICU team was associated with a longer LOS (regression coefficient [95% CI] for log-transformed hospital LOS: 0.23 [0.05,0.40], p=0.022). Certain subgroups-patients aged 50-64years (odds-ratio [95% CI]: 4.22 [1.84,9.65], p=0.001), with ≤10 comorbidities (0-5: 2.78 (1.11,6.95], p=0.029; 6-10: 6.61 [1.38,31.71], p=0.018), without acute respiratory failure (1.97 [1.20,3.23], p=0.008)-had higher mortality when admitted to non-medical ICU teams. We found no association between admission to non-medical ICU team and mortality for medically critically ill patients. However, survivors experienced longer hospital LOS when admitted to non-medical ICU teams. Middle-aged patients, those with low comorbidity burden, and those without respiratory failure had higher mortality when admitted to non-medical ICU teams.

Multi-domain analysis of non-surgical risk factors amenable to pre-operative optimization in microvascular head and neck surgery

PurposeThe goal of this study was to conduct a multi-domain, organ system-based analysis of non-surgical comorbidities amenable to pre-operative optimization in patients undergoing free tissue transfer, in order to better understand factors that influence patient outcomes. Study designRetrospective review. SettingsTertiary academic center. Materials and methodsA retrospective analysis of 546 patients in a prospectively maintained database who underwent free tissue transfer reconstruction between 2007 and 2016 was performed. Analysis of the relationship between binary-coded system-based domains and log-transformed length of stay (LOS), rehabilitation requirement, 30-day readmission, and post-operative complications was conducted with multiple linear regression or logistic regression models. ResultsPoor nutritional status and the presence of anxiety/depression independently increased median hospital LOS. Endocrine and metabolic deficits, poor nutrition status, and psychiatric comorbidities were significant predictors for rehabilitation facility requirement upon discharge. ConclusionInterventions targeted to patient psychiatric and nutritional health may yield substantially improved outcomes in the head and neck cancer population receiving free tissue transfer surgery.

Risk Scoring System of Mortality and Prediction Model of Hospital Stay for Critically Ill Patients Receiving Parenteral Nutrition.

Predicting the clinical progression of intensive care unit (ICU) patients is crucial for survival and prognosis. Therefore, this retrospective study aimed to develop the risk scoring system of mortality and the prediction model of ICU length of stay (LOS) among patients admitted to the ICU. Data from ICU patients aged at least 18 years who received parenteral nutrition support for ≥50% of the daily calorie requirement from February 2014 to January 2018 were collected. In-hospital mortality and log-transformed LOS were analyzed by logistic regression and linear regression, respectively. For calculating risk scores, each coefficient was obtained based on regression model. Of 445 patients, 97 patients died in the ICU; the observed mortality rate was 21.8%. Using logistic regression analysis, APACHE II score (15–29: 1 point, 30 or higher: 2 points), qSOFA score ≥ 2 (2 points), serum albumin level < 3.4 g/dL (1 point), and infectious or respiratory disease (1 point) were incorporated into risk scoring system for mortality; patients with 0, 1, 2–4, and 5–6 points had approximately 10%, 20%, 40%, and 65% risk of death. For LOS, linear regression analysis showed the following prediction equation: log(LOS) = 0.01 × (APACHE II) + 0.04 × (total bilirubin) − 0.09 × (admission diagnosis of gastrointestinal disease or injury, poisoning, or other external cause) + 0.970. Our study provides the mortality risk score and LOS prediction equation. It could help clinicians to identify those at risk and optimize ICU management.

The contribution of specific enhanced recovery after surgery (ERAS) protocol elements to reduced length of hospital stay after ventral hernia repair.

Ventral hernia repair (VHR) is a commonly performed procedure that may be associated with prolonged hospitalization. Enhanced recovery after surgery (ERAS) protocols are intended to decrease hospital length of stay (LOS) and improve outcomes. This study evaluated the impact of compliance with individual VHR ERAS elements on LOS. With IRB approval, a medical record review (perioperative characteristics, clinical outcomes, compliance with ERAS elements) was conducted of open VHR consecutive cases performed in August 2013-July 2017. The ERAS protocol was implemented in August 2015; elements in place prior to implementation were accounted for in compliance review. Clinical predictors of LOS were determined through forward regression of log-transformed LOS. The effects of specific ERAS elements on LOS were assessed by adding them to the model in the presence of the clinical predictors. Two-hundred and thirty-four patients underwent VHR (109 ERAS, 125 pre-ERAS). Across all patients, the mean LOS was 5.4days (SD = 3.3). Independent perioperative predictors (P's < 0.05) of increased LOS were CDC Wound Class III/IV (38% increase above the mean), COPD (35%), prior infected mesh (21%), concomitant procedure (14%), mesh size (3% per 100cm2), and age (8% increase per 10years from mean age). Formal ERAS implementation was associated with a 15% or about 0.7days (95% CI 6%-24%) reduction in mean LOS after adjustment. Compliance with acceleration of intestinal recovery was low (25.6%) as many patients were not eligible for alvimopan use due to preoperative opioids, yet when achieved, provided the greatest reduction in LOS (- 36%). Implementation of an ERAS protocol for VHR results in decreased hospital LOS. Evaluation of the impact of specific ERAS element compliance to LOS is unique to this study. Compliance with acceleration of intestinal recovery, early postoperative mobilization, and multimodal pain management standards provided the greatest LOS reduction.

Outcomes of Noninvasive Positive Pressure Ventilation in Acute Respiratory Distress Syndrome and Their Predictors: A National Cohort.

Rationale Although noninvasive positive pressure ventilation (NIPPV) is increasingly used in acute respiratory distress syndrome (ARDS) to avoid invasive mechanical ventilation (IMV), the data supporting its benefit for this indication are lacking. Objectives To analyze the all-cause in-hospital mortality rate and length of stay (LOS) for ARDS patients who received NIPPV in the United States (US) compared to those who were initially intubated. Our secondary outcome of interest was to determine the predicting factors for NIPPV failure. Methods We used the 2016 National Inpatient Sample database to identify 4,277 adult records with ARDS who required positive pressure ventilation. We divided the cohort into initial treatment with IMV or NIPPV. Then, the NIPPV group was further subdivided into NIPPV failure or success. We defined NIPPV failure as same-patient use of NIPPV and IMV either on the same day or using IMV at a later date. We analyzed the in-hospital mortality, LOS, and NIPPV failure rate. Linear regression of log-transformed LOS and logistic regression of binary outcomes were used to test for associations. Results The NIPPV success group had the lowest mortality rate (4.9% [3.8, 6.4]) and the shortest LOS (7 days [6.6, 7.5]). The NIPPV failure rate was 21%. Sepsis, pneumonia, and chronic liver disease were associated with higher odds of NIPPV failure (adjusted OR: 4.47, 2.65, and 2.23, respectively). There was no significant difference between NIPPV failure and IMV groups in-hospital mortality (26.9% [21.8, 32.8] vs. 25.1% [23.5, 26.9], p=0.885) or LOS (16 [14, 18] vs. 15.6 [15, 16.3], p=0.926). Conclusions NIPPV success in ARDS exhibits significantly lower hospital mortality rates and shorter LOS compared with IMV, and NIPPV failure exhibits no significant difference in hospital mortality or LOS compared with patients who were initially intubated. Therefore, an initial trial of NIPPV may be considered in ARDS. Sepsis, pneumonia, and chronic liver disease were associated with higher odds of NIPPV failure; these factors should be used to stratify patients to the most suitable ventilation modality.

PMS13 ASSOCIATION OF OPIOID ANALGESIC USE ON EMERGENCY DEPARTMENT LENGTH OF STAY AMONG LOW BACK PAIN PATIENTS: A UNITED STATES NATIONAL ANALYSIS

The objective of this study was to compare emergency department (ED) length of stay (LOS) between patients treated with opioid analgesia versus non-opioid analgesia for low back pain (LBP). Secondary data analysis of the ED component of National Hospital Ambulatory Medical Care Survey (2014-2015), a nationally representative database of the United States (US) was conducted. Adults (age≥ 18 years) with a reason for visit or primary ICD-9-CM diagnosis of LBP were included. Patients were excluded if they had a reason for visit related to motor vehicle collisions, did not receive any analgesics, transferred to psychiatric hospital, nursing home, or other hospital, left against medical advice, admitted for inpatient treatment, or died. Patient visits were categorized into two groups: receipt of opioid analgesia (with or without non-opioid analgesia) or non-opioid analgesia only in the ED. ED LOS was log-transformed to improve normality. A multivariable linear regression analysis was used to evaluate the association between opioid use and log-transformed ED LOS. The final study sample consisted of approximately 8.6 million ED visits (US national-level) for LBP during 2014-2015. Of these, 60.1% received opioids and 39.9% received non-opioids only. The geometric mean ED LOS for patient visits who received opioids was longer than patient visits who received non-opioids (142 versus 92 minutes, respectively; p<0.001). Using multivariable regression analysis opioid analgesic use was associated with increased log-transformed ED LOS ( =0.25, p<0.001, 95% CI: 0.11 to 0.38). In a nationally representative sample of ED patient visits due to LBP in the US, use of opioids was associated with an increased ED LOS.

Azithromycin treatment in children hospitalized with asthma: a retrospective cohort study

Objective: Azithromycin has anti-inflammatory properties in the lungs and decreases the duration of asthma-like episodes in children. We sought to evaluate length of stay (LOS) and readmission rates of children receiving azithromycin therapy during hospitalization for acute asthma exacerbations.Methods: This was a retrospective cohort study at an urban, quaternary-care children's hospital including patients under 18 years old hospitalized for asthma, without concurrent infection, from 2002 to 2011. The primary predictor was azithromycin therapy administered within 48 hours of admission. The primary outcome was LOS and the secondary outcomes were 7, 30, and 90-day hospital readmission rates for asthma.Results: Azithromycin therapy was administered to 174 (3%) of 5335 unique patients admitted for asthma, without concurrent infection, over the 10-year period. The overall median LOS was 2.3 days [Interquartile range, 1.8–3.1] and 9% (480) were readmitted for asthma within 90 days of discharge. Azithromycin therapy was associated with a 20% (11 hour) longer LOS (adjusted beta coefficient for log-transformed LOS, 0.18; 95% Confidence Interval (CI): 0.11–0.26), less than the 29% (16 hour) difference determined a priori as clinically relevant. Azithromycin therapy was not associated with 90-day readmission for asthma (adjusted odds ratio, 0.89; 95% CI: 0.46–1.72]. The limited number of 7 and 30-day readmissions in the azithromycin treated group precluded adjusted analysis.Conclusions: Azithromycin therapy was not associated with a clinically relevant difference in hospital LOS or with readmission rates for children hospitalized with asthma. Prospective trials are needed to determine the clinical effects of azithromycin therapy in children with asthma.

Severe neonatal hyperbilirubinaemia is frequently associated with long hospitalisation for emergency care in Nigeria.

This study investigated the frequency and predictors of a long hospital stay (LHS) for severe neonatal hyperbilirubinaemia in Nigeria. Length of stay (LOS) for severe hyperbilirubinaemia was examined among neonates consecutively admitted to the emergency department of a children's hospital in Lagos from January 2013 to December 2014. The median LOS was used as the cut-off for LHS. Multivariate logistic regression determined the independent predictors of LHS based on demographic and clinical factors significantly associated with the log-transformed LOS in the bivariate analyses. We enrolled 622 hyperbilirubinaemic infants with a median age of four days (interquartile range 2-6 days) and 276 (44.4%) had LHS based on the median LOS of five days. Regardless of their birth place, infants were significantly more likely to have LHS if they were admitted in the first two days of life (p = 0.008) - especially with birth asphyxia - or had acute bilirubin encephalopathy (p = 0.001) and required one (p = 0.020) or repeat (p = 0.022) exchange transfusions. Infants who required repeat exchange transfusions had the highest odds for LHS (odds ratio 4.98, 95% confidence interval 1.26-19.76). Severe hyperbilirubinaemia was frequently associated with long hospitalisation in Nigeria, especially if neonates had birth asphyxia or required exchange transfusions.

Candidemia and invasive candidiasis among hospitalized neonates and pediatric patients

Objective: To investigate the epidemiology, treatment, length of stay (LOS) and costs for neonatal and pediatric inpatients with invasive candidiasis (IC).Methods: The Cerner Health Facts Database was used to assess inpatients (2005–2014) identified by positive blood or cerebrospinal fluid (CSF) Candida cultures. Log-transformed LOS and cost were examined in candidemia-only patients (n = 191) using multivariable linear regression.Results: A total of 202 patients had a positive culture (blood: n = 192; CSF: n = 10; both: n = 2). The most prevalent species were C. parapsilosis (n = 70, 34.7%), and C. albicans (n = 66, 32.7%). Mean (SD) age was 5 (5.5) years; 30 (14.9%) patients were <4 months. Comorbidities included sepsis (n = 85, 42.1%), coagulation disorders (n = 57, 28.2%), cancer (n = 64, 31.7%), and low birthweight (n = 26, 12.9%). Antifungals (AFs) included azoles (57.4%), polyenes (28.7%), and echinocandins (35.1%); 20.8% of patients received no AF during their encounter. The mean (SD) cost per encounter was $97,392 ($149,253), with a mean (SD) LOS of 45.6 (59.5) days and 9.9% mortality at discharge. Results were similar across Candida species. In regression analysis, intensive care unit (ICU) exposure, central catheter, sepsis, AF >48 hours prior to index culture, and age <4 months were associated with increased LOS; treatment at a non-teaching hospital was associated with reduced LOS (p < .05). AF use >48 hours before index, in-hospital mortality, Midwest region and ventricular shunt were associated with increased cost (p ≤ .05).Conclusions: This analysis confirms the association between pediatric candidemia and increased resource utilization and LOS. Given high observed rates of potential under-treatment, an opportunity may exist to improve AF therapy in this population.

Intraoperative Red Blood Cell Transfusion in Infant Heart Transplant Patients Is Not Associated with Worsened Outcomes.

Red blood cell (RBC) transfusion is common during infant cardiac surgery. A previous report of pediatric heart transplant recipients showed that increased RBC transfusion volume was independently associated with increased length of intensive care unit stay. It is unclear whether transfusion to infants as a subgroup carries similar risks. This study investigated relationships between intraoperative RBC transfusion during heart transplantation and postoperative length of stay (LOS), morbidity, and mortality in infants. Retrospective analysis of medical records from infants <1 year old undergoing primary heart transplantation at Loma Linda University Medical Center from 1985 to 2012 was conducted. Exclusion criteria included preoperative exchange transfusion or extracorporeal membrane oxygenation. Data sought included patient characteristics; intraoperative RBC transfusion volume and cardiopulmonary bypass details; and postoperative vasoactive support, ventilator support, morbidity, LOS, and 30-day mortality. The relationship of RBC transfusion volume (mL/kg) to these postoperative variables was assessed by univariate analysis. Multiple regression analysis of postoperative LOS included variables that were independent predictors of LOS or associated with ≥10% change in the β-estimate for RBC effect. Data from 307 infants showed that most (66.8%) had single-ventricle physiology. Median age at transplant was 50 days, weight 3.95 kg, and intraoperative transfusion volume 109 mL/kg. Transfusion volume was inversely related to age and weight. Median postoperative LOS was 18.2 days. Univariate linear regression analysis of transfused volume showed no relationship to log-transformed postoperative LOS (F(1,305) = 0.00; P = 0.960; R = 0.000; β-coefficient = 0.004; 95% confidence interval = -0.1542 to 0.1623). Transfused volume was not related to 30-day mortality (difference -0.162; -0.048 to 0.371 mL/kg; P = 0.112) or to postoperative ventilator support (R = 0.047), but was greater in patients who required reoperation (difference -0.246; -0.494 to -0.025; P = 0.004). Multiple regression analysis for all patients revealed age, preoperative ventilator support, prolonged postoperative ventilatory or vasoactive support, transplant year, and 30-day mortality, but not major adverse events, to be significant confounding variables. Adjusting for these variables, transfused volume was not associated with prolonged postoperative LOS. In contrast to a prior report, we found no correlation between intraoperative RBC transfusion and postoperative LOS when studying only infants. Infants have maturing organ systems, less physiologic reserve, and increased surgical blood loss (evaluated as mL/kg) during cardiac surgery than their larger, older counterparts, distinguishing them from the general pediatric population. These differences require additional studies to determine the outcome impact of transfusion strategies in the infant subgroup.

Has variation in length of stay in acute hospitals decreased? Analysing trends in the variation in LOS between and within Dutch hospitals.

BackgroundWe aimed to get better insight into the development of the variation in length of stay (LOS) between and within hospitals over time, in order to assess the room for efficiency improvement in hospital care.MethodsUsing Dutch national individual patient-level hospital admission data, we studied LOS for patients in nine groups of diagnoses and procedures between 1995 and 2010. We fitted linear mixed effects models to the log-transformed LOS to disentangle within and between hospital variation and to evaluate trends, adjusted for case-mix.ResultsWe found substantial differences between diagnoses and procedures in LOS variation and development over time, supporting our disease-specific approach. For none of the diagnoses, relative variance decreased on the log scale, suggesting room for further LOS reduction. Except for two procedures in the same specialty, LOS of individual hospitals did not correlate between diagnoses/procedures, indicating the absence of a hospital wide policy. We found within-hospital variance to be many times greater than between-hospital variance. This resulted in overlapping confidence intervals across most hospitals for individual hospitals’ performances in terms of LOS.ConclusionsThe results suggest room for efficiency improvement implying lower costs per patient treated. It further implies a possibility to raise the number of patients treated using the same capacity or to downsize the capacity. Furthermore, policymakers and health care purchasers should take into account statistical uncertainty when benchmarking LOS between hospitals and identifying inefficient hospitals.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-015-1087-6) contains supplementary material, which is available to authorized users.

Variation in Resource Utilization for the Management of Uncomplicated Community-Acquired Pneumonia across Community and Children's Hospitals

To describe patterns of diagnostic testing and antibiotic management of uncomplicated pneumonia in general community hospitals and children's hospitals within hospitals and to determine the association between diagnostic testing and length of hospital stay. We conducted a retrospective cohort study of children 1-17 years of age hospitalized with the diagnosis of pneumonia from 2007 to 2010 to hospitals contributing data to Perspective Database Warehouse, assessing patterns of diagnostic testing and antibiotic management. We constructed logistic regression models of log-transformed length of stay (LOS) and grouped treatment models to ascertain whether performance of blood cultures and viral respiratory testing were associated with LOS. A total of 17 299 pneumonia cases occurred at 125 hospitals, with considerable variability in pneumonia management. Only 40 (0.2%) received ampicillin/penicillin G alone or in combination with other antibiotics, and 1318 (7.4%) received macrolide monotherapy as initial antibiotic management. Performance of blood culture and testing for respiratory viruses was associated with a statistically significant longer LOS, but these differences did not persist in grouped treatment models. We observed greater rates of diagnostic testing in this cohort of structurally diverse hospitals than previously reported at freestanding children's hospitals, with extremely low rates of narrow-spectrum antibiotic use. Tailored antibiotic stewardship initiatives at these hospitals are needed to achieve adherence to national guideline recommendations.

Abstract MP29: Patient Characteristics And Outcomes Associated With In-hospital Onset Of Acute Decompensated Heart Failure

Introduction: There has been little focus on hospitalized acute decompensated heart failure (ADHF) that develops after admission, which may occur because of comorbid conditions, over-administration of fluid or post-surgical complications. Aims: To compare patient characteristics, case fatality, and hospital length of stay (LOS) associated with ADHF that develops after hospital admission as compared to those with ADHF at admission. Methods: Hospitalizations with possible ADHF were sampled, based on HF ICD codes, among those aged &gt; 55 years from the four communities of the Atherosclerosis Risk in Communities Study (2005-2010). Medical records were abstracted with events classified by physician panel or computer classified. Case fatality was obtained through the National Death Index. We identified 4,503 (unweighted) events with definite/probable ADHF, after excluding those with unknown time of decompensation (n=81), hospital transfers (n=102), and race other than black or white (n=118). Demographic and clinical characteristics were compared by ADHF onset (at/after admission). Logistic regression was used to evaluate the association of ADHF onset with in-hospital mortality, and 28-days and one-year mortality, adjusted for demographics and comorbidity. Linear regression was used to evaluate the association of ADHF onset with log-transformed hospital LOS, adjusted for demographics. All analyses were weighted to account for the stratified sampling design. Results: Of 21,052 (weighted) ADHF events, 7.4% (n=1561) developed ADHF after admission. Patients with ADHF occurring after admission were older (mean: 79 vs. 75 years), and more likely white and female. Those with ADHF at admission were more likely to have a positive smoking history, COPD, and to be on dialysis. Presence of diabetes, hypertension and coronary artery disease were not significantly different between groups. In hospital mortality (16.5% vs. 6.3%; OR= 2.7, 95% CI=1.9-3.8) and 28-day mortality (23.9% vs. 10.1%; OR= 2.4, 95% CI=1.7-3.4) was higher among those who developed ADHF after admission. One-year case fatality was similar (39.4% vs. 33.6%; OR= 1.2, 95% CI=0.9-1.6). Unadjusted mean LOS was longer for those with ADHF occurring after admission (12.8 days, 95% CI=11.8-13.8) than those with ADHF at admission (7.2 days, 95% CI=6.8-7.6). The adjusted and geometric mean LOS was 1.3 days (95% CI=1.2-1.4) longer for those who developed ADHF after admission. Conclusion: Although patients with ADHF onset after admission were slightly older, differences in comorbidity do not indicate an easily identifiable subgroup for closer in-hospital monitoring. Development of ADHF after admission was associated with an alarmingly high early case fatality and longer hospital LOS compared to those with ADHF at hospital admission.

Decreasing Length of Stay in the Emergency Department With a Split Emergency Severity Index 3 Patient Flow Model

There has been a steady increase in emergency department (ED) patient volume and wait times. The desire to maintain or decrease costs while improving throughput requires novel approaches to patient flow. The break-out session "Interventions to Improve the Timeliness of Emergency Care" at the June 2011 Academic Emergency Medicine consensus conference "Interventions to Assure Quality in the Crowded Emergency Department" posed the challenge for more research of the split Emergency Severity Index (ESI) 3 patient flow model. A split ESI 3 patient flow model divides high-variability ESI 3 patients from low-variability ESI 3 patients. The study objective was to determine the effect of implementing a split ESI 3 flow model has on patient length of stay (LOS) for discharged patients. This was a retrospective chart review at an urban academic ED seeing over 70,000 adult patients a year. Cases consisted of adults who presented from 9 a.m. to 11 p.m. from June 1, 2011, to December 31, 2011, and were discharged. Controls were patients who presented on the same times and days, but in 2010. Visit descriptors included age, race, sex, ESI score, and first diagnosis. The first diagnosis was coded based on methods used by the Agency for Healthcare Research and Quality to codify International Classification of Diseases, ninth version, into disease groups. Linear models compared log-transformed LOS for cases and controls. A front-end ED redesign involved creating guidelines to split ESI 3 patients into low and high variability, a hybrid sort/triage registered nurse, an intake area consisting of an internal results waiting room, and a treatment area for patients after initial assessment. The previous low-acuity area (ESI 4s and 5s) began to see low-variability ESI 3 patients as well. This was done without additional beds. The intake area was staffed with an attending emergency physician (EP), a physician assistant (PA), three nurses, two medical technicians, and a scribe. There was a 5.9% decrease, from 2.58 to 2.43 hours, in the geometric mean of LOS for discharged patients from 2010 to 2011 (95% confidence interval CI = 4.5% to 7.2%; 2010, n = 20,215; 2011, n = 20,653). Abdominal pain was the most common diagnostic grouping (2010, n = 2,484; 2011, n = 2,464) with a reduction in LOS of 12.9%, from 4.37 to 3.8 hours (95% CI = 10.3% to 15.3%). A split ESI 3 patient flow model improves door-to-discharge LOS in the ED.

Cross-sectional Study of Variables Associated with Length of Stay and ICU Need in Open Roux-En-Y Gastric Bypass Surgery for Morbid Obese Patients: An Exploratory Analysis Based on the Public Health System Administrative Database (Datasus) in Brazil

This is an exploratory analysis of potential variables associated with open Roux-en-Y gastric bypass (RYGB) surgery hospitalization resource use pattern. Cross-sectional study based on an administrative database (DATASUS) records. Inclusion criteria were adult patients undergoing RYGB between Jan/2008 and Jun/2011. Dependent variables were length of stay (LoS) and ICU need. Independent variables were: gender, age, region, hospital volume, surgery at certified center of excellence (CoE) by the Surgical Review Corporation (SRC), teaching hospital, and year of hospitalization. Univariate and multivariate analysis (logistic regression for ICU need and linear regression for length of stay) were performed. Data from 13,069 surgeries were analyzed. In crude analysis, hospital volume was the most impactful variable associated with log-transformed LoS (1.312 ± 0.302 high volume vs. 1.670 ± 0.581 low volume, p < 0.001), whereas for ICU need it was certified CoE (odds ratio (OR), 0.016; 95% confidence interval (CI), 0.010-0.026). After adjustment by logistic regression, certified CoE remained as the strongest predictor of ICU need (OR, 0.011; 95% CI, 0.007-0.018), followed by hospital volume (OR, 3.096; 95% CI, 2.861-3.350). Age group, male gender, and teaching hospital were also significantly associated (p < 0.001). For log-transformed LoS, final model includes hospital volume (coefficient, -0.223; 95% CI, -0.250 to -0.196) and teaching hospital (coefficient, 0.375; 95% CI, 0.351-0.398). Region of Brazil was not associated with any of the outcomes. High-volume hospital was the strongest predictor for shorter LoS, whereas SRC certification was the strongest predictor of lower ICU need. Public health policies targeting an increase of efficiency and patient access to the procedure should take into account these results.

Predictors of patient length of stay in 9 emergency departments

ObjectivesProlonged emergency department (ED) length of stay (LOS) is linked to adverse outcomes, decreased patient satisfaction, and ED crowding. This multicenter study identified factors associated with increased LOS. MethodsThis retrospective study included 9 EDs from across the United States. Emergency department daily operational metrics were collected from calendar year 2009. A multivariable linear population average model was used with log-transformed LOS as the dependent variable to identify which ED operational variables are predictors of LOS for ED discharged, admitted, and overall ED patient categories. ResultsAnnual ED census ranged from 43 000 to 101 000 patients. The number of ED treatment beds ranged from 27 to 95. Median overall LOS for all sites was 5.4 hours. Daily percentage of admitted patients was found to be a significant predictor of discharged and admitted patient LOS. Higher daily percentage of discharged and eloped patients, more hours on ambulance diversion, and weekday (vs weekend) of patient presentation were significantly associated with prolonged LOS for discharged and admitted patients (P < .05). For each percentage of increase in discharged patients, there was a 1% associated decrease in overall LOS, whereas each percentage of increase in eloped patients was associated with a 1.2% increase in LOS. ConclusionsLength of stay was increased on days with higher percentage daily admissions, higher elopements, higher periods of ambulance diversion, and during weekdays, whereas LOS was decreased on days with higher numbers of discharges and weekends. This is the first study to demonstrate this association across a broad group of hospitals.

Length of Stay Predictions

Length of stay (LOS) is a common measure of hospital resource utilization. Most methods for risk-adjusting LOS are limited by the use of only administrative data. Recent studies suggest that adding automated clinical data to these models improves performance. To evaluate the utility of adding "point of admission" automated laboratory and comorbidity measures-the Laboratory Acute Physiology Score (LAPS) and Comorbidity Point Score (COPS)-to risk adjustment models that are based on administrative data. We performed a retrospective analysis of 155,474 hospitalizations between 2002 and 2005 at 17 Northern California Kaiser Permanente hospitals. We evaluated the benefit of adding LAPS and COPS in linear regression models using full, trimmed, truncated, and log-transformed LOS, as well as in logistic and generalized linear models. Mean age was 61 +/- 19 years; females represented 55.2% of subjects. The mean LOS was 4.5 +/- 7.7 days; median LOS was 2.8 days (interquartile range, 1.3-5.1 days). Adding LAPS and COPS to the linear regression model improved R by 29% from 0.113 to 0.146. Similar improvements with the inclusion of LAPS and COPS were observed in other regression models. Together, these variables were responsible for >50% of the predictive ability of logistic regression models that identified outliers with longer LOS. The inclusion of automated laboratory and comorbidity data improved LOS predictions in all models, underscoring the need for more widespread adoption of comprehensive electronic medical records.

Economic burden of postoperative ileus associated with colectomy in the United States.

Postoperative ileus, a transient impairment of gastrointestinal motility, is a common cause of delay in return to normal bowel function after abdominal surgery. Colectomy surgery patients who develop postoperative ileus could have greater health care resource utilization, including prolonged hospitalization, compared with those who do not develop postoperative ileus. Very few studies have assessed the impact of postoperative ileus on resource utilization and costs using retrospective analysis of administrative databases. To assess health care utilization and costs in colectomy surgery patients who developed postoperative ileus versus those who did not. A retrospective cohort study design was used. Adult patients with a principal procedure code for colectomy (ICD-9-CM procedure codes 45.71-45.79), discharged between January 1, 2004, and December 31, 2004, were identified from the Premier Perspective database of inpatient records from more than 500 hospitals in the United States. The colectomy patients were further classified for the presence of postoperative ileus, identified by the presence, in any diagnosis field on the administrative patient records, of a code for paralytic ileus (ICD-9-CM code 560.1) and/or digestive system complications (ICD-9-CM code 997.4) during the inpatient stay. Code 997.4 was used to account for cases in which postoperative ileus would be reported as a complication of anastomosis, as could be the case in colectomy surgeries. Hospital length of stay (LOS) and hospitalization costs were compared using t-tests. Multivariate analyses were performed with log-transformed LOS and log-transformed cost as the dependent variables. Patient demographics, mortality risk, disease severity, admission source, payment type (retrospective/prospective), and hospital characteristics were used as covariates. A total of 17,876 patients with primary procedure code for colectomy were identified, of whom 3115 (17.4%) patients were classified for presence of postoperative ileus (including paralytic ileus only [n=1216; 6.8%], digestive system complications only [n=383; 2.1%], or both [n=1516; 8.5%]). A majority of the colectomy patients with and without postoperative ileus, respectively, were male (54.1% vs. 50.3%, P < 0.001), Caucasian (70.5% vs. 69.3%, P = 0.170), and aged 51-64 years (51.1% vs. 49.7%, P = 0.143). The mean [SD] hospital LOS was significantly longer in patients with postoperative ileus (13.8 [13.3] days) compared with patients without postoperative ileus (8.9 [9.5] days; P < 0.001). Presence of postoperative ileus was found to be a significant predictor of LOS (P < 0.001) in the regression model, controlling for covariates. Female gender (P = 0.002), greater severity level (P < 0.001), and hospital bed size of more than 500 (P = 0.013) were other significant predictors of hospital LOS. Presence of postoperative ileus was found to be a significant predictor of hospitalization costs (P < 0.001), controlling for covariates. Postoperative ileus in colectomy patients is a significant predictor of hospital resource utilization.

Methods for Analyzing Hospital Length of Stay with Application to Inpatients Dying in Southern Thailand

This study investigated length of stay (LOS) for patients who died in hospital in Southern Thailand from 2000 to 2003 with respect to principal diagnosis and demographic, geographic and hospital size factors. The computerized data of 40,498 mortality cases were obtained from the Ministry of Public Health from 167 hospitals in 14 provinces of Southern Thailand between October 2000 and September 2003 with information on age, gender, principal diagnosis, province and hospital size. Logistic and linear regression with log-transformed LOS was used to analyze the data. Patients with injuries as principal diagnosis had shortest LOS, whereas cancer patients had the longest LOS. Older patients, particularly females, had higher LOS for all diagnoses. LOS increased with hospital size except in the North and North West. Small hospitals in the South West region had the lowest LOS whereas large hospitals in the North West had the highest. The highest proportion of bed days (11.2%) occurred in males aged less than 60 diagnosed with infectious diseases. Males aged less than 60 diagnosed with injuries and digestive diseases, and aged at least 60 diagnosed with COPD, and aged less than 60 diagnosed with infectious diseases, accounted for more than double those for female patients in the same disease groups. Both logistic regressions with LOS at least 1 week as the outcome and linear regression on appropriately log transformed LOS gave consistent results. Providing suitable palliative care or allowing patients to select the place for spending their final time of life, especially for patients with chronic diseases, which can reduce hospital resource utilization.