Risk Factors For Prolonged Length Of Stay Research Articles

Patient Factors Associated With Prolonged Length of Stay After Traumatic Brain Injury.

Background For traumatic brain injury (TBI) survivors, recovery can lead to significant time spent in the inpatient/rehabilitation settings. Hospital length of stay (LOS) after TBI is a crucial metric of resource utilization and treatment costs. Risk factors for prolonged LOS (PLOS) after TBI require further characterization. Methodology We conducted a retrospective analysis of patients with diagnosed TBI at an urban trauma center. PLOS was defined as the 95th percentile of the LOS of the cohort. Patients with and without PLOS were compared using clinical/injury factors. Analyses included descriptive statistics, non-parametric analyses, and multivariable logistic regression for PLOS status. Results The threshold for PLOS was >24 days. In the cohort of 1,343 patients, 77 had PLOS. PLOS was significantly associated with longer mean intensive care unit (ICU) stays (16.4 vs. 1.5 days), higher mean injury severity scores (18.6 vs. 13.8), lower mean Glasgow coma scale scores (11.3 vs. 13.7) and greater mean complication burden (0.7 vs. 0.1). PLOS patients were more likely to have moderate/severe TBI, Medicaid insurance, and were less likely to be discharged home.In the regression model, PLOS was associated with ICU stay, inpatient disposition, ventilator use, unplanned intubation, and inpatient alcohol withdrawal. Conclusions TBI patients with PLOS were more likely to have severe injuries, in-hospital complications, and Medicaid insurance. PLOS was predicted by ICU stay, intubation, alcohol withdrawal, and disposition to inpatient/post-acute care facilities. Efforts to reduce in-hospital complications and expedite discharge may reduce LOS and accompanying costs.Further validation of these results is needed from larger multicenter studies.

Abstract PO4-23-03: The Influence of Reconstruction Type on Outcomes in Women Undergoing Mastectomy with Immediate Reconstruction: A Nationwide Study

Abstract INTRODUCTION: Outcomes after mastectomy with immediate reconstruction may vary depending on the type of reconstruction, but the evidence is limited and inconsistent. The purpose of this study was to compare the most common reconstruction techniques in a large national cohort of women undergoing these procedures. METHODS: The Nationwide Readmissions Database for 2016-2020 was queried for all women aged 18 years or older undergoing mastectomy for breast cancer with immediate reconstruction. The primary outcome was prolonged length of stay (LOS) greater than 7 days. The secondary outcomes were readmission within 30 days and readmission to a different hospital. The types of reconstruction were compared along with all other relevant variables from the database. Univariable comparison was performed using chi-squared tests for each outcome. Multivariable logistic regression was performed using all significant confounders. RESULTS: During the study period, 35,430 patients were identified undergoing mastectomy for breast cancer with immediate reconstruction. The rate of prolonged (LOS) was 2.4% (n= 840) and the readmission rate was 5.4% (n=1,919). From the readmitted patients, the rate of readmission to a different hospital was 14.2% (n=273). Controlling for confounders with multivariable logistic regression revealed the strongest risk factors for prolonged LOS were latissimus dorsi flap (OR 5.4 [4.0-7.4] p< 0.001) and an investor-owned hospital (OR 4.3 [3.5-5.2] p< 0.001). The highest risk of readmission was a transverse rectus abdominis flap (OR 1.3 [1.1-1.6] p< 0.001) and the highest risk of readmission to a different hospital was a small hospital (OR 2.2 [1.6-3.1] p< 0.001). CONCLUSION: Reconstruction type influences outcomes in women undergoing mastectomy. These outcomes have significant implications for surgical decision-making and fragmentation of care. Further research to identify ways to reduce adverse outcomes and improve patient satisfaction is warranted. Citation Format: Lucia Castro Hernandez, Joshua Parreco. The Influence of Reconstruction Type on Outcomes in Women Undergoing Mastectomy with Immediate Reconstruction: A Nationwide Study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-23-03.

The Impact of SARS-CoV-2 Infection on the Length of Stay in the Neuro-ICU:A Prospective Multicenter Cohort Study in Eight Neuro-ICU, China Between February and April 2023.

The SARS-CoV-2 infection cases are increasing rapidly in neuro-intensive care units (neuro-ICUs) at the beginning of 2023 in China. We aimed to characterize the prevalence, risk factors, and prognosis of critically ill patients treated in neuro-ICUs. In the prospective, multicenter, observational registry study, critically ill patients with intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH), and traumatic brain injury (TBI) admitted to eight Chinese neuro-ICUs between Feb 16, 2023, to Apr 30, 2023 were enrolled for the study. Mortality and ICU stay day were used as the primary outcomes. 131 patients were finally included and analyzed (mean age 60.36 years [SD 13.81], 64.12% male, 39.69% SARS-CoV-2 infected). The mortality is higher in the SARS-CoV-2 infection group without statistical signification (7.69% vs 5.06%, p>0.05). The length of stay (LOS) in neuro-ICUs was significantly longer among the SARS-CoV-2 infection patients (7(1-12) vs 4(1-8), p<0.01), with increased viral pneumonia occurrence (58.54% vs 7.32%, p<0.01). SARS-CoV-2 infection, surgery, and low GCS scores were independent risk factors for prolonged LOS, and respiratory/renal failure were independent risk factors for death. Based on the present neuro-ICU cohort, SARS-CoV-2 infection was a significant risk for the prolonged LOS of neuro-critically ill patients. Registered with Chictr.org.cn (ChiCTR2300068355) at 16 February 2023, Prospective registration. https://www.chictr.org.cn/showproj.html?proj=188252.

Factors associated with increased length of stay and risk of complications in 336 patients submitted to spine surgery. The role of a validated capture system (SAVES v2) as a first-line tool to properly face the problem

PurposeIn this study, we analyzed the use of a validated capture system (Spinal Adverse Events Severity system, SAVES V2) as a first non-technical skill to properly face the relevant problem of surgical complications (SCs) and adverse events (AEs) in spinal surgery.MethodsWe retrospectively collected AEs occurring in a tertiary referral center for spine surgery from January 2017 to January 2018 and classified them according to SAVES V2 system. We compared this collection of AEs with a prospective collection performed without any classification system. Univariate and multivariate logistic regression models were used to determined odds ratio (ORs) for selected potential risk factors of AEs and prolonged length of stay.ResultsOverall a higher number of AEs was retrospectively recorded using SAVES system compared to the prospective recording without the use of any capture system (97/336 vs 210/336, p < 0.001).The length of stay (LOS) increased in the group of complicated patients for all the procedures examined. In the non-oncological group, LOS was significantly higher for complicated patients compared to uncomplicated patients (F = 44.11, p = 0.0000). Similar results have been obtained in the oncological group of patients.In the multivariate regression model surgical time and postoperative AEs emerged as risk factors for prolonged LOS, while only the presence of previous surgeries was confirmed as risk factor for AEs.ConclusionConsidering that the rate of AEs and SCs in spinal surgery is still high despite the improvement of technical skills, we suggest the use of SAVES V2 capture system as a first-line tool to face the problem.

Effect of previous abdominal surgery on robotic-assisted rectal cancer surgery

The effect of previous abdominal surgery (PAS) in laparoscopic surgery is well known and significantly adds to longer hospital length of stay (LOS), postoperative ileus, and inadvertent enterotomies. However, little evidence exists in patients with PAS undergoing robotic-assisted (RA) rectal surgery. All patients undergoing RA surgery for rectal cancer were reviewed. Patients with PAS were divided into minor and major PAS groups, defined as surgery involving >1 quadrant. The primary outcome was the risk of conversion to open surgery. A total of 750 patients were included, 531 in the no-PAS (NPAS) group, 31 in the major PAS group, and 188 in the minor PAS group. Patients in the major PAS group had significantly longer hospital LOS (P<.001) and lower adherence to enhanced recovery pathways (ERPs; P=.004). The conversion rates to open surgery were similar: 3.4% in the NPAS group, 5.9% in the minor PAS group, and 9.7% in the major PAS group (P=.113). Estimated blood loss (EBL; P=.961), operative times (OTs; P=.062), complication rates (P=.162), 30-day readmission (P=.691), and 30-day mortality (P=.494) were similar. Of note, 53 patients underwent lysis of adhesions (LOA). On multivariate analysis, EBL >500mL and LOA significantly influenced conversion to open surgery. EBL >500mL, age >65 years, conversion to open surgery, and prolonged OT were risk factors for prolonged LOS, whereas adherence to ERPs was a protector. PAS did not seem to affect the outcomes in RA rectal surgery. Given this finding, the robotic approach may ultimately provide patients with PAS with similar risk to patients without PAS.

Length of stay and hospitalisation rates in Indonesian patients with paediatric hepatitis A: 2015-2021

Objective: To describe the trend in hepatitis-A virus (HAV)-related hospitalisations in children and analyse the association of demographic, clinical and laboratory manifestations with length of stay (LOS) of HAV infection.Method: A retrospective study was conducted in Siloam Hospitals Indonesia. Inclusion criteria were hospitalised paediatric hepatitis A patients aged 3-17 years from 2015-2021. Another viral hepatitis was excluded. Total 58 samples were divided into non-prolonged group (LOS&lt;5 days) and prolonged group (LOS≥5 days). Demographic data, clinical manifestations and laboratory parameters were collected and analysed using SPSS. Correlations with p &lt;0.05 were considered significant.Results: Hospitalisation rate pattern showed two peaks in 2016 and in 2019. The monocyte-to-leucocyte ratio (MLR), blood urea nitrogen (BUN), and creatinine were significantly associated with LOS in bivariate analysis. Medians of MLR and BUN were higher in the prolonged group (0.23; 17) than in the non-prolonged group (0.19; 15.98). Median of creatinine was lower in the prolonged group (0.55) than in the non-prolonged group (0.74). Multivariate analysis found that dark urine was less likely to have a prolonged LOS (OR: 0.23; 95% CI 0.06-0.91, p = 0.04).Conclusions: Dark urine was a protective factor for prolonged LOS. Independently, higher BUN and higher MLR were risk factors for prolonged LOS.

How Much Blood Loss Is Appropriate for a 2- to 3-Level Posterior Lumbar Fusion?

Despite the known association between higher estimated blood loss (EBL) and suboptimal outcomes, the threshold of EBL that negatively impacts outcomes following elective spine surgery remains unknown. In an open 2- and 3-level posterolateral lumbar fusion, we sought to find a threshold of surgeon-reported EBL associated with length of stay (LOS), 30-day complications, and patient-reported outcomes (PROs). A single-center, retrospective cohort study was performed for 2- and 3-level open posterolateral lumbar fusions between October 2010 and April 2021. Surgeon-reported EBL (milliliters) was the primary independent variable for predicting LOS (days). Secondary outcomes included 30-day complications and PROs as the minimal clinically important difference (MCID). Multivariable regression and receiver operating characteristic curve with Youden's Index were calculated. 2-Level Fusion: A total of 557 patients underwent 2-level fusions. Multivariable regression found EBL to be a significant risk factor for prolonged LOS. A threshold of 375 mL was associated with LOS beyond postoperative day 2 (POD2) (area under the curve [AUC] = 0.64, 95% CI 0.58-0.70, P < 0.001). 3-Level Fusion: A total of 287 patients underwent 3-level fusions. Similarly, EBL was a significant risk factor for prolonged LOS, with a threshold of 675 mL to predict LOS beyond POD2 (AUC = 0.63, 95% CI 0.54-0.73, P = 0.012). EBL was associated with increased odds of 30-day complications, with a threshold of 538 mL (AUC = 0.63, 95% CI 0.51-0.76, P < 0.001). For both 2- and 3-level fusions, EBL was not significantly associated with MCID for any of the PROs. In patients undergoing open, posterolateral lumbar fusions, surgeon-reported EBL thresholds at 375 mL for 2-level fusions and 675 mL for 3-level fusions were moderately associated with LOS beyond POD2. In 3-level lumbar fusions, EBL above 538 mL showed a potential association with an increased odds of 30-day complications. Surgeons should improve their ability to manage blood loss and implement methods to keep EBL below the provided thresholds to decrease LOS and minimize the risk of complications.

Identifying Risk Factors for Prolonged Length of Stay in Hospital and Developing Prediction Models for Patients with Cardiac Arrest Receiving Targeted Temperature Management

Background: Prolonged length of stay (LOS) following targeted temperature management (TTM) administered after cardiac arrest may affect healthcare plans and expenditures. This study identified risk factors for prolonged LOS in patients with cardiac arrest receiving TTM and explored the association between LOS and neurological outcomes after TTM. Methods: The retrospective cohort consisted of 571 non-traumatic cardiac arrest patients aged 18 years or older, treated with cardiopulmonary resuscitation (CPR), had a Glasgow Coma Scale score &lt;8, or were unable to comply with commands after the restoration of spontaneous circulation (ROSC), and received TTM less than 12 hours after ROSC. Prolonged LOS was defined as LOS beyond the 75th quartile of the entire cohort. We analyzed and compared relevant variables and neurological outcomes between the patients with and without prolonged LOS and established prediction models for estimating the risk of prolonged LOS. Results: The patients with in-hospital cardiac arrest had a longer LOS than those with out-of-hospital cardiac arrest (p = 0.0001). Duration of CPR (p = 0.02), underlying heart failure (p = 0.001), chronic obstructive pulmonary disease (p = 0.008), chronic kidney disease (p = 0.026), and post-TTM seizures (p = 0.003) were risk factors for prolonged LOS. LOS was associated with survival to hospital discharge, and patients with the lowest and highest Cerebral Performance Category scores at discharge had a shorter LOS. A logistic regression model based on parameters at discharge achieved an area under the curve of 0.840 to 0.896 for prolonged LOS prediction, indicating the favorable performance of this model in predicting LOS in patients receiving TTM. Conclusions: Our study identified clinically relevant risk factors for prolonged LOS following TTM and developed a prediction model that exhibited adequate predictive performance. The findings of this study broaden our understanding regarding factors associated with hospital stay and can be beneficial while making clinical decisions for patients with cardiac arrest who receive TTM.

Laboratory parameters associated with prolonged hospital length of stay in COVID-19 patients in Johannesburg, South Africa

Background. Coronavirus disease (COVID-19) has imposed unprecedented stressors on South Africa (SA)’s healthcare system. Superimposed on the country’s quadruple burden of disease, pandemic-related care further exposes existing inequities. Some of these inequities are specific to hospital-based inpatient services, such as the geographical maldistribution of hospital beds, lack of oxygen supplies and assisted ventilation, and scarcity of trained healthcare workers. Certain high-risk groups, such as individuals with cardiometabolic comorbidity, are likely to develop severe COVID-19 disease requiring hospitalisation with potential for a prolonged length of stay (LoS). It may be helpful for health authorities to identify those at risk for prolonged LoS to facilitate appropriate health systems planning. Objectives. To identify hospital admission laboratory parameters associated with a hospital stay &gt;14 days in patients with COVID-19 pneumonia. Methods. A retrospective observational study design was used. Laboratory data were obtained from an SA private laboratory for 642 inpatients with suspected or confirmed COVID-19 pneumonia, comprising 7 months of admission laboratory data from six private hospitals in Johannesburg, Gauteng Province. Results. Of 642 hospital admissions for pneumonia, 497 were confirmed to have COVID-19 infection (reverse transcription-polymerase chain reaction test positive). In the COVID-19-positive group, hospital LoS was prolonged in 35.4% of admissions. Univariate analysis demonstrated an association with the following risk factors for prolonged LoS: older age; male sex; high serum creatinine, sodium (Na), chloride, potassium and urea levels and low estimated glomerular filtration rate; raised white blood cell count, lymphopenia, neutrophilia and an elevated neutrophil-to-lymphocyte ratio (NLR); and elevated levels of D-dimers, interleukin-6 (IL-6), and procalcitonin (PCT). The strongest univariate associations (relative risk (RR) ≥2.0) with a hospital stay &gt;14 days were high Na levels, NRL &gt;18, high PCT levels and IL-6 &gt;40 pg/mL. On multivariable analysis, the following factors remained significantly associated with prolonged LoS: older age (RR 1.015 per year of age; 95% confidence interval (CI) 1.005 - 1.024); hypernatraemia (RR 1.80; 95% CI 1.25 - 2.60); hyperkalaemia (RR 1.61; 95% CI 1.18 - 2.20); and neutrophilia (RR 1.47; 95% CI 1.15 - 1.88). Conclusions. COVID-19 pandemic preparedness requires hospital-based inpatient care to be prioritised in resource-limited settings, and availability of beds and prompt admissions are essential to ensure good clinical outcomes. In this study of COVID-19 patients admitted with pneumonia, multivariable analysis showed older age, hypernatraemia, hyperkalaemia and neutrophilia to be associated with LoS &gt;14 days. This may assist with healthcare systems planning.

Black and Hispanic Patients Do Not Stay Longer After Primary Total Knee Arthroplasty: Results From an Urban Center Serving a Predominantly Minority Cohort.

Previous reports identified minority race/ethnicity to be an independent risk factor for prolonged length of stay (LOS); however, these cohorts consisted of predominantly White patients. This study sought to evaluate minority status as an independent risk factor for prolonged LOS after primary total knee arthroplasty (TKA) in a predominantly Hispanic and Black cohort. This was a retrospective study using an institutional database of patients who underwent primary TKA between the years 2016 and 2019. Demographic and socioeconomic data, smoking, body mass index (BMI), medical comorbidities, discharge disposition, and 30-day readmission rates were collected. Patients were first categorized into racial/ethnic groups (Hispanic, Black, or White). An univariate analysis was performed comparing patient characteristics between racial/ethnic groups using the Wilcoxon rank sum, chi-squared, and Fisher exact tests. We then categorized patients into two groups-normal LOS (discharged on postoperative day 1 to 2) and prolonged LOS (discharged after postoperative day 2). An univariate analysis was again performed comparing patient characteristics between LOS groups using Wilcoxon rank sum, chi-squared, and Fisher exact tests. After identifying risk factors markedly associated with LOS, a multivariate logistic regression analysis was performed to identify independent risk factors for prolonged LOS. A total of 3,093 patients were included-47.9% Hispanic and 38.3% Black. Mean LOS was 2.9 ± 1.6 days. An univariate analysis found race/ethnicity, age, low socioeconomic status (SES), discharge disposition, insurance type, weekday of surgery, BMI >40, smoking, increased American Society of Anesthesiologists (ASA)/Charlson Comorbidity Index (CCI) and several medical comorbidities to be associated with prolonged LOS (P < 0.05). A multivariate logistic regression analysis found Black and Hispanic patients were less likely to have prolonged LOS after adjusting for associated risk factors. White race/ethnicity, nonhome discharge, low SES, weekday of surgery, smoking, BMI >40, and increased ASA and CCI were identified as independent risk factors for prolonged LOS (P < 0.05). The overall 30-day readmission rate was 3.6%, with no notable difference between racial/ethnic and LOS groups (P = 0.98 and P = 0.78). In contrast to previous reports, our study found that after adjusting for associated risk factors, minority patients do not have prolonged LOS after primary TKA in an urban, socioeconomically disadvantaged, predominantly minority patient cohort. White race/ethnicity, nonhome discharge, low SES, weekday of surgery, smoking, BMI >40, increased CCI, and ASA were all found to be independent risk factors for prolonged LOS. These findings highlight the need to further investigate the role of race/ethnicity on LOS after primary TKA using large-scale, randomized controlled trials with equally represented patient cohorts.

A nomogram to predict the risk of prolonged length of stay following primary total hip arthroplasty with an enhanced recovery after surgery program

BackgroundThe aim of this study was to identify the risk factors associated with prolonged length of stay (LOS) in patients undergoing primary total hip arthroplasty (THA) managed with an enhanced recovery after surgery (ERAS) program and develop a prediction model for improving the perioperative management of THA.MethodsIn this single-center retrospective study, patients who underwent primary THA in accordance with ERAS from May 2018 to December 2019 were enrolled in this study. The primary outcome was prolonged LOS (> 48 h) beyond the first postoperative day. We collected the clinical patient’s clinical characteristics, surgery-related parameters, and laboratory tests. A logistic regression analysis explored the independent risk factors for prolonged LOS. According to published literature and clinical experience, a series of variables were selected to develop a nomogram prediction model to predict the risk of prolonged LOS following primary THA with an ERAS program. Evaluation indicators of the prediction model, including the concordance index (C-index), the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis, were reported to assess the performance of the prediction model. The bootstrap method was conducted to validate the performance of the designed nomogram.ResultsA total of 392 patients were included in the study, of whom 189 (48.21%) had prolonged LOS. The logistics regression analysis demonstrated that age, sex, hip deformities, intraoperative blood loss, operation time, postoperative Day 1 (POD) hemoglobin (Hb), POD albumin (ALB), and POD interleukin-6 (IL-6) were independent risk factors for prolonged LOS. The C-index was 0.863 (95% CI 0.808 to 0.918) and 0.845 in the bootstrapping validation, respectively. According to the results of the calibration, ROC curve, and decision curve analyses, we found that the nomogram showed satisfactory performance for prolonged LOS in this study.ConclusionsWe explored the risk factors for prolonged LOS following primary THA with an ERAS program and developed a prediction model. The designed nomogram was expected to be a precise and personalized tool for predicting the risk and prognosis for prolonged LOS following primary THA with an ERAS program.

Predictors of Extended Hospitalization and Early Reoperation After Elective Lumbar Disc Arthroplasty

Lumbar disc arthroplasty (LDA) has emerged as a motion-sparing alternative to lumbar fusion. Although LDA may be amenable to the ambulatory surgical setting, to date no study has identified the factors predisposing patients to extended hospital stay. A national surgical quality improvement database was queried from 2011 to 2019 for patients undergoing elective, single-level, primary LDA. Univariate and multivariate logistic regression analyses were performed to elucidate predictors of length of stay (LOS) at or above the 90th percentile of the study population (3 days). Secondary study endpoints included rates of complications, as well as predictors and reasons for unplanned reoperation within 30 days. A total of 630 patients met eligibility criteria for the study, of whom 517 (82.1%) had LOS <3 days and 113 (17.9%) had LOS ≥3 days. Multivariate logistic regression revealed associations between prolonged hospitalization and postoperative diagnosis of degenerative disk disease, obesity, Hispanic identity, and operation length >120 minutes. Before discharge, patients with LOS ≥3 days were more likely to have venous thromboembolisms, pneumonia, surgical site infections, and reoperations. Independent predictors of reoperation were wound infections, diabetes, and smoking. Complications following elective single-level LDA are relatively rare, with few extended hospitalizations being attributable to any specific complication. Risk factors for prolonged LOS appear to be related to diagnosis and surgical time rather than to modifiable preoperative comorbidities. Conversely, unplanned reoperations within 30 days are associated with optimizable perioperative factors such as smoking, diabetes, and surgical site infection.

Length of Stay and Readmission Rates in Pediatric Acute Heart Failure

<h3>Purpose</h3> Establishing baseline metrics for pediatric acute heart failure (AHF) is critical for developing quality improvement (QI) metrics aimed at improving outcomes and resource utilization. Benchmark data from adult AHF demonstrate median length of stay (LOS) is 4 days and 30-day HF-related readmission (HFread) rate is 6%. Our pilot study aims to describe current pediatric AHF LOS and 30-day HFread. <h3>Methods</h3> A retrospective data analysis from 4 pediatric centers was performed from July 1, 2019 to June 30, 2020 among children hospitalized for AHF who survived hospitalization, including those who received were listed and underwent heart transplant and ventricular assist device implantation. Data collection included cardiac diagnosis, LOS, and 30-day HFread. Descriptive statistics were performed for analysis. <h3>Results</h3> A total of 120 patients with 179 AHF hospitalizations were analyzed from 4 pediatric HF centers. The median LOS was 13 days (IQR 4-40). Diagnoses with median LOS >13 days included dilated cardiomyopathy, restrictive cardiomyopathy, myocarditis, other congenital heart disease excluding failing Glenn and Fontan palliated CHD (Table). Thirty-day HFread was 20%. Diagnoses associated with 30-day HFread >20% included dilated cardiomyopathy, failing Fontan, and failing Glenn. <h3>Conclusion</h3> Based on this pilot study, children hospitalized with AHF have considerably longer hospital LOS and higher readmission rates compared to national benchmarks for adults hospitalized with AHF. Identifying risk factors for prolonged LOS and HFread can help direct future QI initiatives. Initial AHF QI projects should include clear communication of management goals during hospitalization and at discharge.

Predictors of Readmission and Prolonged Length of Stay After Cervical Disc Arthroplasty

Retrospective cohort study. The aim of the study was to assess which factors increase risk of readmission within 30 days of surgery or prolonged length of stay (LOS) (≥2 days) after cervical disc arthroplasty (CDA). Several studies have shown noninferiority at mid- and long-term outcomes after cervical disc arthroplasty (CDA) compared to anterior cervical discectomy and fusion ACDF, but few have evaluated short-term outcomes regarding risk of readmission or prolonged LOS after surgery. Demographics, comorbidities, operative details, postoperative complications, and perioperative outcomes were collected for patients undergoing single level CDA in the National Surgical Quality Improvement Program (NSQIP) database. Patients with prolonged LOS, defined as >2 days, and readmission within 30 days following CDA were identified. Univariable and multivariable logistic regression models were used to identify risk factors for prolonged LOS and readmission. A total of 3221 patients underwent single level CDA. Average age was 45.6 years (range 19-82) and 53% of patients were male. A total of 472 (14.7%) experienced a prolonged LOS and 36 (1.1%) patients were readmitted within 30 days following surgery. Predictors of readmission were postoperative superficial wound infection (odds ratio [OR] = 73.83, P < 0.001), American Society of Anesthesiologists (ASA) classification (OR = 1.98, P = 0.048), and body mass index (BMI) (OR = 1.06, P = 0.02). Female sex (OR = 1.76, P < 0.001), diabetes (OR = 1.50, P = 0.024), postoperative wound dehiscence (OR = 13.11, P = 0.042), ASA class (OR = 1.43, P < 0.01), and operative time (OR = 1.01, P < 0.001) were significantly associated with prolonged LOS. From a nationwide database analysis of 3221 patients, wound complications are predictors of both prolonged LOS and readmission. Patient comorbidities, including diabetes, higher ASA classification, female sex, and higher BMI also increased risk of prolonged LOS or readmission.Level of Evidence: 3.

A simple prediction score for prolonged length of stay following elective colorectal cancer surgery.

Current enhanced recovery after surgery (ERAS) protocols are designed for all patients without tailored programmes for at-risk groups. A risk score to determine elective colorectal cancer patients at risk for prolonged length of stay (LOS) would help to identify this group for preoperative intervention. Multivariate analysis of demographic and preoperative variables was performed to identify independent risk factors for prolonged LOS, defined as 7days or more. A stepwise variable selection approach using logistic regression was then used to build a risk prediction model. Among 172 patients in our population, 41.9% of patients had prolonged LOS. Five variables were included in our risk prediction model. These were age ≥ 65years (OR 13.9 5.09-38.0; p< 0.0001), neoadjuvant therapy (OR 7.60 2.51-23.0; p< 0.0001), open approach (OR 3.96 1.68-15.9); p= 0.008), history of smoking (OR 5.18 1.68-15.9; p= 0.004) and white blood cell (WBC) count (OR 0.83/unit 0.69-0.99; p= 0.040). These variables were combined to produce a score, for which the area under the receiving operator curve was 0.82 (95% CI 0.76-0.88), and Hosmer-Lemeshow test showed a χ2 statistic of 9.14 and p= 0.519. Using 0.9 as a cut-off, the score has sensitivity of 81.9% and specificity of 65.0%. A simple, clinical score can be used to predict for prolonged LOS based on preoperative variables, allowing for intervention before surgery. Age, neoadjuvant therapy, smoking status, open approach and WBC count are independent risk factors for prolonged length of stay following elective colorectal cancer surgery. A risk score comprising the above independent variables was developed with area under the receiving operator curve of 0.82 (95% CI 0.76-0.88), and a Hosmer-Lemeshow test showing a χ2 statistic of 9.14 and p= 0.519.

Epidemiology of long-stay patients in the pediatric intensive care unit: prevalence, characteristics, resource consumption and complications.

BackgroundThe impact of pediatric intensive care unit (PICU) utilization and resource consumption among long-stay patients has not been characterized recently. This study aimed to describe the resource consumption and characteristics of long-stay patients in a PICU.MethodsThis was a single-center descriptive cohort study of 1309 patients admitted to a PICU in 2017. The main outcome was ICU length of stay (LOS). Patients were divided into prolonged LOS (PLS) and non-PLS groups if they had an LOS of ≥ 28 or < 28 days, respectively. Two groups were compared to characterize PLS.ResultsThirty-two (2.4%) patients had a PLS and utilized 33% of PICU bed days. Factors associated with PLS with odds ratio [95% confidence interval (CI)] were being a neonate (7.8 [2.5–25.4], p = <0.001), being an infant (2.9 [1.0–9.0], p = 0.04), admission for a respiratory ailment (7.3 [1.6–44.2], p = 0.003), cardiovascular dysfunction (24.1 [4.8–152.1], p = <0.001), post-cardiac operation (8.0 [1.7–50.1], p = 0.003), post-cardiopulmonary arrest (22.8 [1.7–211.9], p = 0.01), and transfer from another facility (4.2 [1.8–10.7], p = 0.001). PLS patients developed more nosocomial infections and disproportionately received monitoring and therapeutic resources.ConclusionsA PLS was associated with substantial PICU utilization and complication rates. Future studies should aim to alleviate both institutional and patient-related issues in the affected population harboring possible risk factors for PLS.

Limited Influence of Comorbidities on Length of Stay after Total Hip Arthroplasty: Experience of Enhanced Recovery after Surgery.

ObjectivesTo identify predictors of length of stay (LOS) after total hip arthroplasty (THA) in an enhanced recovery after surgery (ERAS) program and evaluate the safety and cost‐efficiency of the ERAS program with reduced LOS for unselected patients in a Chinese population.MethodsA total of 311 consecutive, unselected patients undergoing primary THA at a single institution were retrospectively reviewed and divided into two groups: LOS ≤ 3 and LOS > 3 group. All patients were managed with the same ERAS protocol and went back home after discharge. Multivariate logistic regression analysis was used to determine independent risk factors for LOS > 3. Harris Hip Score at 90‐day follow‐up, 90‐day readmission rate, and hospitalization costs were compared between two groups.ResultsMultivariate regression analysis identified female gender (odds ratio [OR] = 2.623), living alone (OR = 4.127), and primary osteoarthritis of hip (OR = 3.565) to be correlated with LOS > 3. Preoperative hemoglobin (HB), postoperative HB, drain use, blood transfusion, diabetes, respiratory disease, osteoporosis, number of comorbidities, and CCI score showed no significant influence on LOS after adjusting for other risk factors in the multivariate model. Harris Hip Score and readmission rate at 90‐day follow‐up showed no significant differences between two groups. Patients in LOS > 3 group had approximately 3948.6 Chinese yuan higher hospital costs.ConclusionFemale gender, living alone, and primary osteoarthritis of hip were identified as independent risk factors for prolonged LOS. The experience from our institution suggested aggressive management of comorbidities in the ERAS program can minimize the influence of comorbidities on LOS. The safety, efficiency, and costs‐saving benefits of the ERAS program with reduced LOS for unselected patients was confirmed in this study.

Surgery Delay Increases Length of Stay in Thoracolumbar Trauma

Abstract INTRODUCTION The ideal timing from admission of a thoracolumbar spinal trauma patient to the start of surgery at US trauma centers remains a hotly contested area of debate. The effect of surgical latency on patient outcomes in thoracolumbar trauma remains unclear. METHODS All 2013 to 2015 thoracolumbar spinal trauma cases from the American College of Surgeons Trauma Quality Improvement Program (TQIP) were analyzed. Patients with unsurvivable spine injury, polytraumas (serious injuries in more than one bodily region), and those discharged within 24 h were excluded. Patients were classified into 3 groups by surgery timing: less than 8 h (early, N = 1699), between 8 and 24 h (normal, N = 946), and over 24 h (delayed, N = 1601). Mortality, length of stay (LOS), and complication rates were compared between groups. Demographic variables and complication rates were compared. Multivariate logistic regression was utilized to determine the specific effect of surgery timing on outcomes. RESULTS Patients with earlier surgery presented with more severe spinal trauma (P &lt; .0001). Patients in the normal surgical timing cohort were most likely to have altered mental status (4.97% vs 3.24%, P = .05), and less likely to suffer from UTI (4.97% vs 3.24%, P = .03). Patients in the delayed cohort were older (46.2 vs 43.7 yr, P = .0003), more likely to have a longer LOS (11.3 vs 10.6 d, P = .02), return to the ICU (2.94% vs 1.29%, P = .001), experience unplanned intubation (2.06% vs 1%, P = .01) and suffer from cardiac arrest (0.53% vs 1.19%, P = .04). Upon multivariate analysis, delayed surgery was an independent risk factor for prolonged LOS (OR: 1.21, 95% CI: 0.56-1.87, P = .0003). CONCLUSION Patients with earlier surgery possessed more severe spinal injury. When adjusting for demographics and severity, no significant difference is seen in mortality between the different surgery times; however, LOS is prolonged in patients with delayed surgery.

Risk Factors for Prolonged Length of Stay of Older Patients in an Academic Emergency Department: A Retrospective Cohort Study.

Emergency departments (EDs) are challenged with a growing population of older patients. These patients are at risk for a prolonged length of stay (LOS) at the ED and face more complications and poorer clinical outcomes. We aimed to identify risk factors for a prolonged LOS of older patients at the ED. For this retrospective clinical database study, we analyzed medical records of 2000 patients ≥70 years old presenting at the ED of a large level I trauma center in the Netherlands. LOS above the 75th percentile of LOS at our ED, 293 minutes, was considered prolonged. After bivariate analysis, we identified associations between LOS and patient, organizational, and clinical factors. Associations with a p < 0.05 were inserted in multivariable logistic regression models. We analyzed 1048 men (52%) and 952 women (48%) with a mean age of 78 ± 6.2 years. Risk factors for prolonged LOS of older patients at the ED were follows: higher number (more than one) of consultations (OR [odds ratio] 2.4, CI [confidence interval] 2.0-2.91), or diagnostic interventions (OR 1.5, CI 1.4-1.7); presenting complaints of a neurological (OR 2.2, CI 1.0-4.5) or internal medicine focus (OR 2.6, CI 1.4-4.6); patients with an altered consciousness (OR 3.3, CI 1.6-6.6); treatment by physicians of the departments of surgery (OR 3.4, CI 2.2-5.2), internal medicine (OR 2.6, CI 1.9-3.7), or pulmonology (OR 2.2, CI 1.4-3.6); and urgency category of ≥ U1. Awareness of factors associated with prolonged LOS of older patients presenting at the ED is essential. Physicians should recognize and take these factors into account, in order to improve clinical outcomes of the (strongly increasing) population of older patients at the ED.

A predictive model for increased hospital length of stay following geriatric hip fracture

BackgroundThe purpose of this study was to identify the risk factors that are significantly associated with hospital length of stay (LOS) following geriatric hip fracture and to use these significant variables to develop a LOS calculator. Materials and methodsThis was a retrospective study examining 614 patients treated for geriatric hip fracture between January 2000 and December 2009 at an urban, Level 1 trauma center. A negative binomial regression analysis was used to identify perioperative variables associated with hospital LOS. Results614 patients met the inclusion criteria, presenting with a mean age of 78 (±10) years. The most common pre-operative comorbidity was hypertension, followed by diabetes and COPD. After controlling for all collected comorbidities as well as demographics and operative variables, hypertension (IRR: 1.10, p = 0.029) and disseminated cancer (IRR: 1.24, p = 0.007) were found to be significantly associated with LOS. In addition, two demographic/presenting variables, admission to the medicine service (IRR: 1.48, p < 0.001) and male sex (IRR: 1.09, p = 0.034), were shown to be independent risk factors for prolonged LOS. These variables were synthesized into a LOS formula, which estimated LOS to within 3 days of the true length of stay for 0.758 of the series (95% confidence interval: 0.661 to 0.855). ConclusionsThis study identified several comorbidity and perioperative variables that were significantly associated with LOS following geriatric hip fracture surgery. The resulting LOS model may have utility in the risk stratification of orthopaedic trauma patients presenting with hip fracture.