Admission Volume Research Articles

Racial Disparities in Failure to Rescue after Pediatric Heart Surgeries in the US

To identify the trend in failure to rescue (FTR) and risk factors contributing to racial disparities in FTR after pediatric heart surgery using contemporary nationwide data. We identified 85,267 congenital heart surgeries in patients <18 years of age from 2009 to 2019 using the Kid's Inpatient Database (KID). The primary outcome was FTR. A mixed-effect logistic regression model with hospital random intercept was used to identify independent predictors of FTR. Among 36,753 surgeries with postoperative complications, the FTR was 7.3%. The FTR decreased from 7.4% in 2009 to 6.3% in 2019 (p=0.02). FTR was higher among Black than White children for all years. The FTR was higher among girls (7.2%) vs. boys (6.6%), children aged <1 (9.6%) vs. 12-17 years (2.4%), and those of Black (8.5%) vs. White race (5.9%) (all p<0.05). Black race was associated with a higher FTR odds (OR: 1.40, 95% CI: 1.20-1.65) after adjusting for demographics, medical complexity, non-elective admission, and hospital surgical volume. Higher hospital volume was associated with lower odds of FTR for all racial groups, but fewer Black (19.7%) vs. White (31%) children received surgery at high surgical-volume hospitals (p<0.001). If Black children were operated upon in the same hospitals as White children, the racial differences in FTR would decrease by 47.3%. Racial disparities exist in FTR after pediatric heart surgery in the United States. The racial differences in the location of care may account for almost half the disparities in FTR.

Clinical outcomes of non-COVID-19 orthopaedic patients admitted during the COVID-19 pandemic: a multi-centre interrupted time series analysis across hospitals in six different countries

ObjectivesTo assess across seven hospitals from six different countries the extent to which the COVID-19 pandemic affected the volumes of orthopaedic hospital admissions and patient outcomes for non-COVID-19 patients admitted...

Comparing the Kids' Inpatient Database and National Inpatient Sample for Pediatric Research

ObjectivePediatric researchers use Agency for Healthcare Research and Quality (AHRQ) Kids’ Inpatient Database (KID) and National Inpatient Sample (NIS) to analyze the national resource use and outcomes of hospitalized children. Inherent KID-NIS sampling design differences may yield disparate findings. We compared discharge counts and length of stay (LOS) between KID and NIS for common and rare reasons for hospitalization. MethodsRetrospective analysis of differences in discharges counts and geometric mean LOS for children ages 0–20 years from KID and NIS in 2019, measured for normal newborns and 331 additional reasons for admission, distinguished by All-Payer Refined Diagnosis Related Groups (APR-DRG) and categorized in deciles by annual discharge volume. We followed AHRQ instructions for data clustering, stratification, and weighting to accommodate the KID and NIS designs, including random samples of 80% and 20% of pediatric discharges, respectively, per hospital. ResultsKID-NIS differences in national estimates for total annual discharge counts differed by only 0.5% for normal newborns and 3.7% for all other admission reasons in children. KID-NIS differences remained small aside from reasons for admission in the two lowest volume deciles: 9.5% (SD 7.9%) for admission volumes 200–520; 41.1% (SD 64.2%) for volumes <200. KID-NIS LOS differences for these two-lowest volume deciles were 7.9% (SD 7.1%) and 26.0% (SD 29.3%), respectively. ConclusionsAlthough KID-NIS differences in discharge counts and LOS were small for high-volume admissions, the differences increased with reasons for admission that had annual discharge volumes approximately 500 or less. For study populations with discharge counts <500, KID may be preferred, given its higher sampling of discharges per hospital.

Life-threatening perioperative complications among older adults with spinal metastases: An analysis based on a nationwide inpatient sample of the US

IntroductionWe aimed to investigate the prognostic determinants of life-threatening and fatal complications in patients <80 and ≥ 20 years of age and those ≥80 years who were undergoing surgery for spinal metastases. Materials and MethodsBased on data between 2005 and 2018 extracted from National Inpatient Sample as the largest longitudinal hospital inpatient databases in the United States, statistical analyses were performed to identify prognostic factors (age, sex, household income, insurance status, major comorbidities, primary site of malignancy, types of surgery, surgical approaches, types of hospital admission, and hospital-related characteristics) for major and fatal perioperative complications among older adult patients. ResultsA total of 31,925 patients aged ≥ 20y who were undergoing surgery for spinal metastasis were identified (< 80 y: n = 28,448; ≥ 80 y: n = 35,37). After adjustment, age ≥80 y was significantly associated with greater risk of perioperative cardiac arrest (adjusted odds ratio [aOR]: 1.34, 95% confidence interval [CI]: 1.03–1.73) and acute kidney injury (AKI) (aOR: 1.23, 95% CI: 1.07–1.41) but lower risk of venous thromboembolic event (VTE) (aOR: 0.80, 95% CI: 0.66–0.96) than <80y. Factors predicting life-threatening complications among patients ≥ 80y were: male sex (<80 y: aOR = 1.14; ≥ 80 y: aOR = 1.35), higher score on Charlson Comorbidity Index (CCI) (80 y, aOR = 1.21–2.67; ≥ 80 y: aOR = 1.25–2.55), open surgery (<80 y: aOR = 1.24; ≥ 80 y: aOR = 1.35), and greater Metastatic Spinal Tumor Frailty Index (MSTFI) (<80 y: aOR = 2.48–10.03; ≥ 80 y: aOR = 2.69–11.21). Among patients <80y, factors predicting life-threatening complications were: male sex, Black race, greater CCI score, primary tumor at kidney, hematologic cancer, other/unspecified primary site, certain surgical procedures, open surgery, greater MSTFI, emergent admission, and low hospital volume. DiscussionThis study identifies a list of independent risk factors for the presence of life-threatening complications among patients <80 and ≥ 80y who were undergoing surgery for spinal metastasis. The findings contribute to the development of clinical strategies for the surgical management of spinal metastasis, especially for octogenarians, and lower the risk of unfavorable inpatient outcomes.

MAGLIO study: epideMiological Analysis on invasive meninGococcaL disease in Italy: fOcus on hospitalization from 2015 to 2019.

This study analyzed hospital admissions for invasive meningococcal disease (IMD) in epidemiological and economic terms in Italy from 2015 to 2019. The volume of acute admissions for meningococcal diagnosis was analyzed in the period from 2015 to 2019. IMD admissions were identified by ICD-9-CM diagnoses. Costs were assessed using current DRG tariffs. In 2019, a total of 237 admissions for meningococcal disease were recorded in Italy. The mean age of patients was 36.1years. Lumbar puncture was reported in only 14% of hospital discharge forms. From 2015 to 2019, there was a mean annual reduction of - 1.2% nationally for IMD hospitalizations. For 2019, the total costs for acute inpatient admissions were €2,001,093. Considering annual incidence due to IMD, a significant decrease was noted in the age group from 0 to 1year (p = 0.010) during 2015-2019. For all years, mortality associated with meningeal syndrome was lower compared to septic shock with or without meningitis. From 2015 to 2019, hospitalizations for IMD appear to be decreasing slightly in Italy, even if mortality remains high. Favorable trends in hospitalizations for IMD were seen in the 0-1-year age group, which may be attributable to increased vaccination. Costs of hospitalizations for IMD remain high.

Defining the emergency general surgery patient population in the era of ICD-10 : Evaluating an established crosswalk from ICD-9 to ICD-10 diagnosis codes.

In 2015, the United States moved from the International Classification of Diseases, Ninth Revision ( ICD-9 ), to the International Classification of Diseases, Tenth Revision ( ICD-10 ), coding system. The American Association for the Surgery of Trauma Committee on Severity Assessment and Patient Outcomes previously established a list of ICD-9 diagnoses to define the field of emergency general surgery (EGS). This study evaluates the general equivalence mapping (GEM) crosswalk to generate an equivalent list of ICD-10 -coded EGS diagnoses. The GEM was used to generate a list of ICD-10 codes corresponding to the American Association for the Surgery of Trauma ICD-9 EGS diagnosis codes. These individual ICD-9 and ICD-10 codes were aggregated by surgical area and diagnosis groups. The volume of patients admitted with these diagnoses in the National Inpatient Sample in the ICD-9 era (2013-2014) was compared with the ICD-10 volumes to generate observed to expected ratios. The crosswalk was manually reviewed to identify the causes of discrepancies between the ICD-9 and ICD-10 lists. There were 485 ICD-9 codes, across 89 diagnosis categories and 11 surgical areas, which mapped to 1,206 unique ICD-10 codes. A total of 196 (40%) ICD-9 codes have an exact one-to-one match with an ICD-10 code. The median observed to expected ratio among the diagnosis groups for a primary diagnosis was 0.98 (interquartile range, 0.82-1.12). There were five key issues identified with the ability of the GEM to crosswalk ICD-9 EGS diagnoses to ICD-10 : (1) changes in admission volumes, (2) loss of necessary modifiers, (3) lack of specific ICD-10 code, (4) mapping to a different condition, and (5) change in coding nomenclature. The GEM provides a reasonable crosswalk for researchers and others to use when attempting to identify EGS patients in with ICD-10 diagnosis codes. However, we identify key issues and deficiencies, which must be accounted for to create an accurate patient cohort. This is essential for ensuring the validity of policy, quality improvement, and clinical research work anchored in ICD-10 coded data. Diagnostic Test/Criteria; Level III.

Use of Community SARS-CoV-2 Case Counts and Instantaneous Reproductive Number to Predict Short-Term COVID-19 Hospital Admission Volumes.

The severe acute respiratory syndrome (SARS-CoV-2) pandemic and high hospitalization rates placed a tremendous strain on hospital resources, necessitating the use of models to predict hospital volumes and the associated resource requirements. Complex epidemiologic models have been developed and published, but many require continued adjustment of input parameters. We developed a simplified model for short-term bed need predictions that self-adjusts to changing patterns of disease in the community and admission rates. The model utilizes public health data on community new case counts for SARS-CoV-2 and projects anticipated hospitalization rates. The model was retrospectively evaluated after the second wave of SARS-CoV-2 in New York, New York (October 2020-April 2021) for its accuracy in predicting numbers of coronavirus disease 2019 (COVID-19) admissions 3, 5, 7, and 10 days into the future, comparing predicted admissions with actual admissions for each day at a large integrated health-care delivery network. The mean absolute percent error of the model was found to be low when evaluated across the entire health system, for a single region of the health system or for a single large hospital (6.1%-7.6% for 3-day predictions, 9.2%-10.4% for 5-day predictions, 12.4%-13.2% for 7-day predictions, and 17.1%-17.8% for 10-day predictions).

The Causal Effect of Community Hospitals on General Hospital Admissions. Evaluation of a Natural Experiment Using Register Data.

To reduce overall healthcare costs, several countries have attempted to shift services from specialist to primary care. This was also the main strategy of the Coordination Reform introduced in Norway in 2012. An important part of the reform was the introduction of Municipal Acute Wards (MAWs), a type of community hospital aimed at reducing admissions to general hospitals. The main objective of this paper is to investigate whether the implementation of MAWs had a causal effect on hospital admissions. Monthly admission rates in total and by age groups for patients admitted with acute or elective conditions at internal medicine or surgical departments were analyzed using panel data regression techniques. We identified causal effects by exploiting the sequential roll out of the MAWs within fixed effect analyses. Our data covered all municipalities from start of 2010 until the end of 2017. The sequential implementation of the MAWs started during the summer of 2012. By the beginning of 2016 close to all municipalities had an operative MAW. The introduction of MAWs significantly reduced acute hospital admissions. The effect was strongest for patients ≥80 years admitted acutely to internal medicine departments. The effects were even stronger if the MAW had a physician on site 24/7 or was located close to a local emergency center. Our findings suggest that this type of intermediate care unit is a viable option to alleviate the burden on hospitals by reducing acute secondary care admission volumes.

Epidemiological study of paediatric traumatic brain injury in Brazil

BackgroundTraumatic brain injury (TBI) has a high economic and social impact on the family dynamics, particularly among children. High-quality and comprehensive epidemiological studies about TBI in this population are limited worldwide, specifically in Latin America. Therefore, this study aimed to elucidate the epidemiology of TBI among children in Brazil and its effects on the public health system. MethodsThis epidemiological (cohort) retrospective study collected data from the Brazilian healthcare database between 1992 and 2021. ResultsThe mean annual volume of hospital admission (HA) due to TBI in Brazil was 29,017. Moreover, the incidence of TBI in the paediatric population was 45.35 admissions per 100,000 inhabitants/year. Furthermore, approximately 941 paediatric hospital deaths per year were caused by TBI, with an in-hospital lethality rate of 3.21%. The average annual financial transfer for TBI was 12,376,628 USD, and the mean cost per admission was 417 USD. In addition, the mean length of hospital stay was 4.2 days. Notably, the length of stay in the hospital was longer among males, Afro-Brazilians patients and individuals aged 15–19 years. ConclusionPaediatric TBI is an important public health issue worldwide with high social and economic costs. The incidence of paediatric TBI in Brazil is similar to that in developing countries. Moreover, male predominance (2.3:1) was observed in relation paediatric TBI. Notably, during the pandemic, the incidence of paediatric HA has decreased. To the best of our knowledge, this is the first epidemiological study that specifically evaluates paediatric TBI in Latin America.

Constructing and Validating a Nomogram for Survival in Patients without Hypertension in Hypertensive Intracerebral Hemorrhage-Related Locations.

We aimed to evaluate the risk factors for patients, who had hypertensive intracerebral hemorrhage (ICH)-specific location hemorrhage without hypertensive history, to elucidate a novel and detailed understanding. We conducted a retrospective review to identify patients diagnosed with hemorrhage in hypertensive ICH-specific locations without hypertensive history between January 2011 and December 2019 from West China Hospital. A least absolute shrinkage and selector operation (LASSO) algorithm was used to select the optimal prognostic factors, and then we performed a multivariable logistic analysis. To verify the accuracy of the nomogram in predicting patient outcome, we used Harrell's statistics, area under the curve, and a calibration as well as decision curves. The LASSO method, at a tenfold cross-validation for 7-day mortality, 90-day mortality, and 90-day morbidity, was applied to construct the prognosis-predicting models. Both a higher Glasgow Coma Scale (GCS) score at admission and larger hematoma volume ≥13.64mL were independently associated with better survival at 7 days and 90 days in multivariate analysis. Lactic dehydrogenase >250 IU/L and neutrophilic granulocyte/lymphocyte ratio in 1 increase were significantly associated with poor outcome at 90days. Only one factor (GCS score at 7days) influencing 90-day morbidity remained in a LASSO model. In this study, the GCS score, hematoma volume, and other laboratory factors (Lactic dehydrogenase and neutrophilic granulocyte/lymphocyte ratio) were related to survival. Our current findings of the specific location ICH need to be proven by a large randomized controlled trial study.

Care of the Hospitalized Patients with Kidney Failure during COVID-19 Pandemic: Lessons Learned.

Care of the Hospitalized Patients with Kidney Failure during COVID-19 Pandemic: Lessons Learned.

Factors Affecting R&amp;D Share in University Revenues: Case of Russia

Recent government projects and initiatives (such as Priority 2030) have significantly increased the role of universities in creating and commercializing innovations in Russia. One of the most important indicators of university performance in these programs is R&amp;D revenue. Its values have a significant deviation between universities that lead to different importance of R&amp;D activities and make some universities more R&amp;D oriented than others in the terms of their economics. This orientation can be considered an important factor of university sustainability as it allows it to be less dependent on admission volume which varies due to demographic waves and other endogenous factors. This paper studies the factors affecting the R&amp;D orientation of big Russian universities. Monitoring the Efficiency of Higher Education Institutions provides sufficient data on Russian universities for such study including the share of R&amp;D revenue in the total value of revenue which is used as a measure of R&amp;D orientation. This study analyses the factors affecting this indicator using the data from the 49 largest Russian universities between 2015 and 2020 to build econometric panel data models. The modelling proves the significance of various factors such as entrance scores of students, the number of publications per faculty member, the share of young researchers, the ratio of average salary to the regional average salary, and the share of faculty members holding doctoral degrees. The research highlights the connection between publication performance and R&amp;D activities and the importance of supporting young researchers in the development of scientific entrepreneurship.

The impact of partial and complete lockdown during the COVID-19 pandemic on acute surgical services: a retrospective cohort study

PurposeThe burden of the coronavirus disease of 2019 (COVID-19) pandemic on the healthcare sector has been overwhelming, leading to drastic changes in access to healthcare for the public. We aimed to establish the impact of implemented government partial and complete lockdown policies on the volume of surgical patient admissions at a tertiary referral center during the pandemic.MethodsA database was retrospectively created from records of patients admitted to the surgical ward through the emergency department. Three 6-week periods were examined: The complete lockdown period (CLP), which included a ban on the use of cars with the exception of health service providers and essential sector workers; A pre-COVID period (PCP) 1 year earlier (no lockdown); and a partial lockdown period (PLP) that involved a comprehensive curfew and implementing social distancing regulations and wear of personal protective equipment (e.g., masks) in public places.ResultsThe number of patients admitted to the surgery ward was significantly higher in the PCP cohort compared to the CLP and PLP cohorts (p = 0.009), with a 42.1% and 37% decline in patients’ admissions, respectively. Admission rates for patients with biliary pathologies and vascular thrombotic events increased. 30-day mortality rates did not differ significantly between the three periods (p = 0.378).ConclusionsWhile COVID-19 lockdown regulations had a significant impact on patient admission rates, surgical outcomes were not affected and the standards of care were maintained. Future protocols should strive to improve access to healthcare to avoid complications caused by delayed diagnosis and treatment.

Association of cerebrospinal fluid CD4+/CD8+Ratio with 60-day functional outcome after intracerebral hemorrhage.

Background: The immune inflammatory reaction has vital function in pathologic mechanism of critical intracerebral hemorrhage. It recently has been reported that CD4/CD8 ratio may represent a novel composite immune inflammatory marker to predict prognosis of critical intracerebral hemorrhage (ICH). Nevertheless, as for considering the effects of surgical evacuation upon initiation of immune inflammatory reactions, the association between cerebrospinal fluid (CSF) CD4/CD8 ratio and 60-day functional outcome of patients with critical ICH after surgery has not been investigated. Present study aimed to evaluate the predictive value concerning postoperative complement system and immunoglobulin, paired cerebrospinal fluid and peripheral blood lymphocyte subsets, as well as inflammation index before and after the operations upon the 60-day prognosis of patients with ICH.Methods: In total, 69 patients with acute critical ICH admitted in First Central Hospital of Baoding City from January to July in 2022 were prospectively enrolled. We recorded and analyzed the relevant clinical data. Laboratory parameters included postoperative lymphocyte subsets in paired cerebrospinal fluid and peripheral blood, inflammation index before and after operation. The associations between 60-day outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. Comparisons of predictive value regarding independent predictors was evaluated by receiver operating characteristic (ROC) curves.Results: In total, 51 patients with critical ICH exhibited poor outcomes at 60days, which was associated with fever after surgery, hernia before surgery, SAH and lower Glasgow Coma Scale (GCS) at admission and large hematoma volume, greater CD3T%CSF, greater CD4T%CSF, and greater CD4/CD8 ratioCSF. CD4/CD8ratio CSF showcased significant predictive power by comparing with other laboratorial variables (AUC = 0.6808; cut-off = 1.61; sensitivity = 80.39%; specificity = 61.11%; 95% CI: 0.5232-0.8385; p = .0233), which was found to correlated linearly with postoperative fever, first CSF test time, CD3T% CSF, CD4T% CSF, CD8T% CSF, NKCSF, CD3T%PB, CD8T%PB, CD4/CD8 ratioPB, and glucoseCSF. Poor outcome at 60days linearly correlated with CD4/CD8ratioCSF after adjustments. In 3-5days after surgery tested CSF lymphocyte subsets, CD4/CD8ratioCSF ≥1.61 was associated with a higher risk for 60-day poor outcome comparing with corresponding subgroups.Conclusions: In association of critical ICH patient prognosis, CSF CD4/CD8 ratio, especially in 3-5days after surgery, exhibited potential independent predictive ability for 60-day functional outcomes of patients with critical ICH.

Racial Differences and Injury Pattern Variation: Impact of COVID-19 on a Bronx Trauma Center.

New York City (NYC) became the epicenter of the COVID-19 pandemic in 2020. The Bronx, with the highest rates of poverty and violent crime of all NYC boroughs and a large Black and Hispanic population, was at increased risk of COVID-19 and its sequelae. We aimed to identify temporal associations among COVID-19 and trauma admission volume, demographics, and mechanism of injury (MOI). A retrospective review of prospectively collected data was conducted from a Level II trauma center in the Bronx. January 1st-September 30th for both 2019 (Pre-COVID) and 2020 (COVID) were compared. Pre-COVID and COVID cohorts were subdivided into EARLY (March-May) and LATE (June-September) subgroups. Demographics and trauma outcomes were compared. Trauma admissions were similar between Pre-COVID and COVID. During COVID, there was an increased percentage of Black patients (Black Hispanic 20.1% vs 15.2% and Black Non-Hispanic 39.4% vs 34.1%, P < .05), younger patients (26-35years old: 22.6% vs 17.6%, P < .05), and out-of-pocket payors (6.0% vs 1.6%, P < .05). Trauma severity outcomes were mixed-some measures supported increased severity; others showed no difference or decreased severity. During COVID, there was a rise in total penetrating injuries (27.4% vs 20.8%, P < .05), MVC (13.2% vs 7.1, P < .05), and firearm injuries (11.6% vs 6.0%, P < .05). Additionally, during LATE COVID, there was a resurgence of total penetrating, total blunt, MVC, falls, cyclists/pedestrians struck, and firearm injuries. Our results emphasize MOI variations and racial differences of trauma admissions to a Level II trauma center in the Bronx during COVID-19. These findings may help trauma centers plan during pandemics and encourage outreach between trauma centers and community level organizations following future healthcare disasters.

Profile changes in admissions to a psychiatric hospitalisation unit over 15 years (2006–2021), considering the impact of the pandemic caused by SARS-CoV-2

The objective of this current work was to explore whether modification of the diagnostic criteria upon the publication of the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the impact of the COVID-19 pandemic had influenced the diagnostic and sociodemographic profiles of mental health admissions. For that purpose, we designed an observational, longitudinal, and retrospective study of the data recorded in the discharge reports of the Brief Hospitalization Unit at Castellon (Spain), between January 2006 and December 2021. The sample consisted of 7,037 participants, with a mean age of 42.1 years. The mean age of admissions, number of women, and presentation of affective disorders, addictions, and dementias all increased significantly during the DSM-5 period. Beyond diagnoses, the reduction in readmissions before the pandemic could be attributed to the use of long-acting injectable antipsychotics. In contrast, the pandemic did not change the percentage of readmissions or the volume of admissions. Also, during the pandemic period, the significant results obtained indicate that the average stay was reduced, affective disorders decreased, and addictions increased. Therefore, clinicians should consider these diagnostic and sociodemographic fluctuations when adapting clinical care, taking into account gender perspective, ageing of patients and increasing of dual and affective disorders.

Understanding the Influence of Hospital Volume on Inpatient Outcomes Following Hospitalization for Status Epilepticus.

Prior studies show hospital admission volume to be associated with poor outcomes following elective procedures and inpatient medical hospitalizations. However, it is unknown whether hospital volume impacts Inpatient outcomes for status epilepticus (SE) hospitalizations. In this study, we aimed to assess the impact of hospital volume on the outcome of patients with SE and related inpatient medical complications. The 2005 to 2013 National Inpatient Sample database was queried using International Classification of Diseases 9th Edition diagnosis code 345.3 to identify patients undergoing acute hospitalization for SE. The National Inpatient Sample hospital identifier was used as a unique facility identifier to calculate the average volume of patients with SE seen in a year. The study cohort was divided into three groups: low volume (0-7 patients with SE per year), medium volume (8-22 patients with SE per year), and high volume (> 22 patients with SE per year). Multivariate logistic regression analyses were used to assess whether medium or high hospital volume had lower rates of inpatient medical complications compared with low-volume hospitals. A total of 137,410 patients with SE were included in the analysis. Most patients (n = 50,939; 37%) were treated in a low-volume hospital, 31% (n = 42,724) were treated in a medium-volume facility, and 18% (n = 25,207) were treated in a high-volume hospital. Patients undergoing treatment at medium-volume hospitals (vs. low-volume hospitals) had higher odds of pulmonary complications (odds ratio [OR] 1.18 [95% confidence interval {CI} 1.12-1.25]; p < 0.001), sepsis (OR 1.24 [95% CI 1.08-1.43] p = 0.002), and length of stay (OR 1.13 [95% CI 1.0 -1.19] p < 0.001). High-volume hospitals had significantly higher odds of urinary tract infections (OR 1.21 [95% CI 1.11-1.33] p < 0.001), pulmonary complications (OR 1.19 [95% CI 1.10-1.28], p < 0.001), thrombosis (OR 2.13 [95% CI 1.44-3.14], p < 0.001), and renal complications (OR 1.21 [95% CI 1.07-1.37], p = 0.002). In addition, high-volume hospitals had lower odds of metabolic (OR 0.81 [95% CI 0.72-0.91], p < 0.001), neurological complications (OR 0.80 [95% CI 0.69-0.93], p = 0.004), and disposition to a facility (OR 0.89 [95% CI 0.82-0.96], p < 0.001) compared with lower-volume hospitals. Our study demonstrates certain associations between hospital volume and outcomes for SE hospitalizations. Further studies using more granular data about the type, severity, and duration of SE and types of treatment are warranted to better understand how hospital volume may impact care and prognosis of patients.

A concurrent fibre orientation and topology optimisation framework for 3D-printed fibre-reinforced composites

This work proposes a novel framework able to optimise both topology and fibre angle concomitantly to minimise the compliance of a structure. Two different materials are considered, one with isotropic properties (nylon) and another one with orthotropic properties (onyx, which is nylon reinforced with chopped carbon fibres). The framework optimises, in the same particular sub-step, first the topology, and second, the fibre angle at every element throughout the domain. For the isotropic material, only topology optimisation takes place, whereas, for the orthotropic solid, both topology and fibre orientation are considered. The objective function is to minimise compliance, and this is done for three volume fractions of material inside the design domain: 30%, 40%, and 50%. Two classical benchmark cases are considered: 3-point and 4-point bending loading cases. The optimum topologies are further treated and manufactured using the fused filament fabrication (FFF) 3D printing method. Key results reveal that the absolute stiffness, density-normalised and volume-normalised stiffness values within each admissible volume are higher for onyx than for nylon, which proves the efficiency of the proposed concurrent optimisation framework. Moreover, although the objective function was to minimise compliance, it was also effective to improve the strength of all parts. The excellent quality and geometric tolerance of the 3D-printed parts are also worth mentioning.

Variations in long-term care home resident hospitalizations before and during the COVID-19 pandemic in Ontario.

To examine how the COVID-19 pandemic affected the demographic and clinical characteristics, in-hospital care, and outcomes of long-term care residents admitted to general medicine wards for non-COVID-19 reasons. We conducted a retrospective cohort study of long-term care residents admitted to general medicine wards, for reasons other than COVID-19, in four hospitals in Toronto, Ontario between January 1, 2018 and December 31, 2020. We used an autoregressive linear model to estimate the change in monthly admission volumes during the pandemic period (March-December 2020) compared to the previous two years, adjusting for any secular trend. We summarized and compared differences in the demographics, comorbidities, interventions, diagnoses, imaging, psychoactive medications, and outcomes of residents before and during the pandemic. Our study included 2,654 long-term care residents who were hospitalized for non-COVID-19 reasons between January 2018 and December 2020. The crude rate of hospitalizations was 79.3 per month between March-December of 2018-2019 and 56.5 per month between March-December of 2020. The was an adjusted absolute difference of 27.0 (95% CI: 10.0, 43.9) fewer hospital admissions during the pandemic period, corresponding to a relative drop of 34%. Residents admitted during the pandemic period had similar demographics and clinical characteristics but were more likely to be admitted for delirium (pandemic: 7% pre-pandemic: 5%, p = 0.01) and were less likely to be admitted for pneumonia (pandemic: 3% pre-pandemic: 6%, p = 0.004). Residents admitted during the pandemic were more likely to be prescribed antipsychotics (pandemic: 37%, pre-pandemic: 29%, p &lt;0.001) and more likely to die in-hospital (pandemic:14% pre-pandemic: 10%, p = 0.04). Better integration between long-term care and hospitals systems, including programs to deliver urgent medical care services within long-term care homes, is needed to ensure that long-term care residents maintain equitable access to acute care during current and future public health emergencies.

Effect of COVID 19 pandemic on time to care, use of ambulance, admission characteristics, demography, injury characteristics, management and outcome of Paediatric Orthopaedic trauma patients admitted to the trauma centre

Background: Lockdown imposed to limit the spread of COVID 19 may have had a significant effect on the time to care, demography, injury causation, injury characteristics, volume and nature of admission, management and outcome of paediatric orthopaedic trauma patients. Objective: To document the effect of lockdown on the time to care at KGMU, use of ambulance, volume and type of admissions, demography, injury causation, injury characteristics, management and outcome of paediatric orthopaedic trauma patients. Methods:. This record review compared age, sex, type of admission, mechanism of injury, injury characteristics, type of treatment, vehicle used for transport, and outcome among patients admitted in pre-lockdown, lockdown and post lockdown. Results: Lockdown was associated with decrease in the number of cases (p&lt;0.01), increase in the time since injury to reception (p&lt;0.040), a rise in the share of referred admission (p&lt;0.040), time since reception at KGMU, time to definitive care (p&lt;0.001), high energy falls (p&lt;0.001), injuries at home (p&lt;0.001), higher ISS (p&lt;0.001), non operative treatment (p=0.038) and greater use of ambulance (p=0.003). Conclusion: Lockdown resulted in a significant change in the causation and management of injury, significant delays in timeliness of care, reduction in the volume of admissions, an increase in injury severity and share of referral admissions.