Hospital Resources Research Articles

Nationwide Assessment of Chronic Pain among Hospitalized Individuals with Co-occurring Post Traumatic Stress Disorder and Substance Use Disorder in the United States

Objective: Chronic pain (CP) is independently associated with substance use disorders (SUD) and posttraumatic stress disorder (PTSD). However, little is known about factors associated with CP among patients with co-occurring PTSD and SUD. Patterns of hospital resource usage should also be explored further. Methods: Using the 2019 National Inpatient Sample (NIS), we identified 216,125 hospital discharges with co-occurring diagnoses of PTSD and SUD in 2019 and examined their association with CP. Multivariable logistic regression models were used to identify factors associated with an increased likelihood of CP in this cohort. Results: Among those with co-occurring PTSD and SUD (N = 216,125), 35,450 had associated CP, a prevalence of 164.02 cases per 1,000 discharges (95% CI [160.54, 167.52]). Individuals aged 55–64 with co-occurring PTSD and SUD were approximately 7.2 times more likely to experience CP, compared to those aged 16–24 (OR = 7.2; 95% CI [6.09, 8.60]). Being in the CP group was associated with 50% increased odds of insomnia and obesity (OR = 1.5; 95% CI [1.12, 2.03] and OR = 1.5; 95% CI [1.38, 1.55], respectively), 30% increased odds of anxiety (OR = 1.3; 95% CI [1.24, 1.38]), 20% increased odds of attention deficit disorder (ADD;OR = 1.2; 95% CI [1.12, 1.38]) and 10% increased odds of depression (OR = 1.1; 95% CI [1.01, 1.14]). Compared with females, being male was associated with slightly decreased odds of CP (OR = 0.9; 95% CI [0.84, 0.94]). Conclusions: Among hospitalized Americans with co-occurring PTSD and SUD, advanced age, being female, and the presence other mental health disorders were associated with an increased risk of CP. Providers treating co-occurring PTSD/SUD should evaluate for and consider evidence-based management of CP if present.

Clinical Outcomes and Resource Utilization in Patients with Peripheral Arterial Disease Hospitalized for Acute Coronary Syndrome

Previous studies have shown an association between acute limb ischemia and higher mortality in patients with Acute Myocardial Infarction. Although Peripheral Artery Disease is a well-known risk factor for development of macrovascular pathology, the effect of its severity is not well investigated in patients hospitalized for Acute Coronary Syndrome (ACS). Using a national cohort of patients with various degrees of Peripheral Arterial Disease, we investigated in-hospital outcomes in patients who were admitted for ACS. Using the 2016-2020 Nationwide Readmissions Database, we queried all patients who were hospitalized for ACS (Unstable Angina, Non ST-Elevation Myocardial Infarction, and ST-Elevation Myocardial Infarction). Patients were further divided into three groups, either No Peripheral Arterial Disease (Non-PAD), Peripheral Arterial Disease (PAD) or Critical Limb Ischemia (CLI). Multivariable models were designed to adjust for patient and hospital factors and examine the association between ACS and PAD severity. Of an approximately 3,834,181 hospitalizations for ACS, 6.4% had PAD, 0.2% had CLI and all other were Non-PAD. Following risk adjustment, in hospital mortality was higher by 24% in PAD (AOR 1.24, 95%CI 1.21-1.28) and 86% in CLI (AOR 1.86, 95%CI 1.62-2.09) compared to Non-PAD. Furthermore, PAD and CLI were linked to 1.23-fold (95%CI 1.20-1.26) and 1.67-fold (95%CI 1.45-1.86) greater odds of cardiogenic shock compared to Non-PAD. Additionally, PAD and CLI were linked with higher odds of mechanical circulatory support usage, cardiac arrest and acute kidney injury compared to Non-PAD. Lastly, duration of hospital stay, hospitalization costs and odds of non-home discharge and 30-day readmissions were greater in patients with PAD and CLI compared to Non-PAD. PAD severity was associated with worse clinical outcomes in patients with ACS, including in hospital mortality and resource utilization.

Intelligent Speech Elderly Rehabilitation Learning Assistance System Based on Deep Learning and Sensor Networks

Recently, deep learning has been proved to significantly improve the quality of speech recognition. Convolutional neural networks are often used in speech recognition tasks because of their special network structure and powerful learning function. In order to solve the problem that the traditional convolutional neural network can not reflect the one-dimensional basic attributes of speech signal, this paper proposes to set the number of frames for one dimension of convolution kernel, and use one-dimensional model and two-dimensional convolutional network model for speech recognition. By moving the convolution kernel of time axis and frequency band, it can adapt to the time change of speech signal and maintain the correlation between frequency bands to a great extent. At the same time, this paper also discusses the speech signal preprocessing, feature parameter extraction and regularization algorithm. Due to the lack of hospital resources, the lag of information technology, the poor ability of accompanying and other reasons, the current accompanying service for elderly rehabilitation can not meet the needs of elderly patients. The rapid development and wide use of information technology provide opportunities for the optimization of health services for the elderly. In view of the difficulty of word memory and interpretation in current rehabilitation courses, a VR intelligent teaching system based on intelligent voice technology is developed. The application results show that the system can effectively improve the ability of language expression and word writing. At present, the system of intelligent speech function has not been completed, and lacks speech synthesis function. The next research will focus on the use of speech synthesis technology, in order to realize the man-machine dialogue between people and the system, and show a more real training situation.

Impact of Cardiac Pacemaker Implantation in Patients With Acute Traumatic Cervical Spinal Cord Injury.

Cardiac pacemaker implantation may be indicated in patients with refractory bradycardia following a cervical spinal cord injury (CSCI). However, evidence about the impact of this procedure on outcomes is lacking. We planned a study to assess whether the implantation of a pacemaker would decrease mortality and hospital resource utilization in patients with CSCI. Adult patients with CSCI in the Trauma Quality Improvement Program (TQIP) database between 2016 and 2019 were retrospectively analyzed. Patients were divided into "pacemaker" and "non-pacemaker" groups, and their baseline characteristics and clinical outcomes were analyzed. A total of 6774 cases were analyzed. The pacemaker group showed higher in-hospital rates of cardiac arrest, myocardial infarction, and longer duration of mechanical ventilation and ICU stay than the non-pacemaker group. Nevertheless, pacemaker placement was associated with a significant decrease in mortality (4.2% vs 26.0%, P < .01). Patients with CSCI requiring a pacemaker placement had better survival than those treated without a pacemaker. Pacemaker implantation should be highly considered in patients who develop refractory bradycardia after CSCI.

Evolution of Complexity of Palliative Care Needs and Patient Profiles According to the PALCOM Scale (Part Two): Pooled Analysis of the Cohorts for the Development and Validation of the PALCOM Scale in Advanced Cancer Patients

Introduction: Identifying the complexity of palliative care needs is a key aspect of referral to specialized multidisciplinary early palliative care (EPC) teams. The PALCOM scale is an instrument consisting of five multidimensional assessment domains developed in 2018 and validated in 2023 to identify the level of complexity in patients with advanced cancer. (1) Objectives: The main objective of this study was to determine the degree of instability (likelihood of level change or death), health resource consumption and the survival of patients according to the level of palliative complexity assigned at the baseline visit during a 6-month follow-up. (2) Method: An observational, prospective, multicenter study was conducted using pooled data from the development and validation cohort of the PALCOM scale. The main outcome variables were as follows: (a) instability ratio (IR), defined as the probability of level change or death; (b) emergency department visits; (c) days of hospitalization; (d) hospital death; (e) survival. All the variables were analyzed monthly according to the level of complexity assigned at the baseline visit. (3) Results: A total of 607 patients with advanced cancer were enrolled. According to the PALCOM scale, 20% of patients were classified as low complexity, 50% as medium and 30% as high complexity. The overall IR was 45% in the low complexity group, 68% in the medium complexity group and 78% in the high complexity group (p &lt; 0.001). No significant differences in mean monthly emergency department visits (0.2 visits/ patient/month) were observed between the different levels of complexity. The mean number of days spent in hospital per month was 1.5 in the low complexity group, 1.8 in the medium complexity group and 3.2 in the high complexity group (p &lt; 0.001). The likelihood of in-hospital death was significantly higher in the high complexity group (29%) compared to the medium (16%) and low (8%) complexity groups (p &lt; 0.001). Six-month survival was significantly lower in the high complexity group (24%) compared to the medium (37%) and low (57%) complexity groups (p &lt; 0.001). Conclusion: According to the PALCOM scale, more complex cases are associated with greater instability and use of hospital resources and lower survival. The data also confirm that the PALCOM scale is a consistent and useful tool for describing complexity profiles, targeting referrals to the EPC and managing the intensity of shared care.

The Role of Delirium on Short- and Long-Term Postoperative Outcomes Following Major Gastrointestinal Surgery for Cancer.

The growing burden of an aging population has raised concerns about demands on healthcare systems and resources, particularly in the context of surgical and cancer care. Delirium can affect treatment outcomes and patient recovery. We sought to determine the prevalence of postoperative delirium among patients undergoing digestive tract surgery for malignant indications and to analyze the role of delirium on surgical outcomes. Medicare claims data were queried to identify patients diagnosed with esophageal, gastric, hepatobiliary, pancreatic, and colorectal cancers between 2018 and 2021. Postoperative delirium, occurring within 30 days of operation, was identified via International Classification of Diseases, 10th edition codes. Clinical outcomes of interested included "ideal" textbook outcome (TO), characterized as the absence of complications, an extended hospital stay, readmission within 90 days, or mortality within 90 days. Discharge disposition, intensive care unit (ICU) utilization, and expenditures also were examined. Among 115,654 cancer patients (esophageal: n = 1854, 1.6%; gastric: n = 4690, 4.1%; hepatobiliary: n = 6873, 5.9%; pancreatic: n = 8912, 7.7%; colorectal: n = 93,325, 90.7%), 2831 (2.4%) were diagnosed with delirium within 30 days after surgery. On multivariable analysis, patients with delirium were less likely to achieve TO (OR 0.27 [95% CI 0.25-0.30]). In particular, patients who experienced delirium had higher odds of complications (OR 3.00 [2.76-3.25]), prolonged length of stay (OR 3.46 [3.18-3.76]), 90-day readmission (OR 1.96 [1.81-2.12]), and 90-day mortality (OR 2.78 [2.51-3.08]). Furthermore, patients with delirium had higher ICU utilization (OR 2.85 [2.62-3.11]). Upon discharge, patients with delirium had a decreased likelihood of being sent home (OR 0.40 [0.36-0.46]) and instead were more likely to be transferred to a skilled nursing facility (OR 2.17 [1.94-2.44]). Due to increased utilization of hospital resources, patients with delirium incurred in-hospital expenditures that were 55.4% higher (no delirium: $16,284 vs. delirium: $28,742) and 90-day expenditures that were 100.7% higher (no delirium: $2564 vs. delirium: $8226) (both p < 0.001). Notably, 3-year postoperative survival was adversely affected by delirium (no delirium: 55.5% vs. delirium: 37.3%), even after adjusting risk for confounding factors (HR 1.79 [1.70-1.90]; p < 0.001). Postoperative delirium occurred in one in 50 patients undergoing surgical resection of a digestive tract cancer. Delirium was linked to a reduced likelihood of achieving an optimal postoperative outcome, increased ICU utilization, higher expenditures, and a worse long-term prognosis. Initiatives to prevent delirium are vital to improve postoperative outcomes among cancer surgery patients.

Primary central nervous system lymphoma: A mirror type presentation in an immunocompetent patient

Background: Primary central nervous system (CNS) lymphoma is a very rare extranodal non-Hodgkin lymphoma. The bilateral pattern, as we call it “mirror type”, has been identified in other CNS lesions such as gliomas, metastases, and demyelinating lesions, so the differential diagnosis includes imaging studies such as magnetic resonance imaging contrasted with spectroscopy, ruling out immunodeficiency or metastatic disease. Case Description: A 65-year-old female presented progressing headache, loss of memory and language alterations, as well as sensory alterations. Neuroimaging showed the presence of two equidistant periventricular lesions at the level of both ventricular atria, a spectroscopy study suggestive of malignancy. Serological studies showed no evidence of immunodeficiency or the presence of positive tumor markers; however, a biopsy was performed, which revealed a histopathological result of primary lymphoma of the CNS. Conclusion: In neuro-oncology, primary CNS tumors with multiple lesions are rare, even more, the “mirror type” lesions. Lymphomas are lesions that can present in different ways on imaging and clinical presentation. These tumors that present a vector effect due to their size, perilesional edema, or that lead to loss of neurological function are highly discussed in diagnostic and surgical treatment. Due to their prognosis, action on diagnosis and treatment must be taken as quickly as hospital resources allow.

Meta-synthesis of ethnic minority families' experiences of children's palliative care across developed countries.

Meeting the needs of people accessing healthcare from ethnic minority (EM) groups is of great importance. An insight into their experience is needed to improve healthcare providers' ability to align their support with the perspectives and needs of families. This review provides insight into how families from EM backgrounds experience children's palliative care (CPC) by answering the question, "What are the experiences of EM families of children's palliative care across developed countries?" A systematic search of articles from 6 databases (Scopus, Medline, Web of Science, APA PsycINFO, CINAHL, and Global Health) with no limit to the date of publication. The search was conducted twice, first in June 2022 and again in December 2022. The extracted data were analyzed using thematic synthesis. Eight studies explored the experiences of families of EM in different high-income countries. Four themes were identified: unmet needs leading to communication gaps, accessibility of hospital services and resources, the attitude of healthcare workers, and the need for survival as an immigrant. Overall, the study shows EM families rely heavily on healthcare professionals' cultural competence in delivering palliative care for their children. There is an interplay between EM families' culture, spiritual ties, communication, and social needs from this review. Understanding how to bridge the communication gap and how families use their culture, faith, and spirituality to manage their pain, and grief and improve their quality of life would be extremely beneficial for healthcare practitioners in increasing their support to EM families accessing CPC.

Surgery Advances in Gynecologic Tumors: The Evolution and Outcomes of Robotic Surgery for Gynecologic Cancers in a Tertiary Center

The integration of innovation into routine clinical practice is faced with many challenges. In 2007, we received the mandate to evaluate how the introduction of a robotic program in gynecologic oncology affected patient-centered care by studying its impact on clinical outcomes and hospital resource utilization. Here we summarize the history and experience of developing a robotic surgery program for gynecologic cancers over 16 years. Analysis of the data indicates that robotic surgery improved perioperative patient clinical parameters, decreased blood loss, complications, and hospital stay, maintained the oncologic outcome, and is cost-effective, resulting in it becoming the dominant surgical approach in gynecologic oncology in a tertiary cancer care institution.

Reconsidering Fresh Frozen Plasma Availability to Reduce Blood Product Waste During Massive Transfusion Events in Trauma.

Within component therapy of massive transfusion protocol (MTP) in trauma, thawed plasma is particularly susceptible to expiring without use given its short 5-day shelf life. Optimizing the number of thawed products without compromising safety is important for hospital resource management. The goal is to examine thawed plasma utilization rates in trauma MTP events and optimize the MTP cooler content at our Level I trauma center. Trauma MTP activations from 01/2019 to 12/2022 were retrospectively reviewed. During the study period, blood products were distributed in a 12:12:1 ratio of packed red blood cells (pRBC): plasma: platelets per cooler, with up to 4 additional units of low-titer, group O whole blood (LTOWB) available. The primary measure was percent return of unused, thawed plasma. There were 367 trauma MTP activations with a median (IQR) activation call-to-first cooler delivery time of 8 (6-10) minutes. 73.0% of thawed plasma was returned to the blood bank unused. In one third of MTP activations, all dispensed plasma was returned. The majority (74.1%) of patients required 6 or fewer units of plasma. In 81.5% of activations, 10 or fewer units of plasma and 10 or fewer units of pRBC were used. The majority of trauma MTP requirements may be accommodated with a reduced cooler content of 6 units pRBC, 6 units plasma, and 1 pheresis platelets, buffered by up to 4 units LTOWB (approximates 4 units of pRBC/4 units plasma), in conjunction with a sub-10min cooler delivery time. Follow-up longitudinal studies are needed.

Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP.

Accurate prediction of hospital length of stay (LOS) following surgical management of oral cavity cancer (OCC) may be associated with improved patient counseling, hospital resource utilization and cost. The objective of this study was to compare the performance of statistical models, a machine learning (ML) model, and The American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) calculator in predicting LOS following surgery for OCC. A retrospective multicenter database study was performed at two major academic head and neck cancer centers. Patients with OCC who underwent major free flap reconstructive surgery between January 2008 and June 2019 surgery were selected. Data were pooled and split into training and validation datasets. Statistical and ML models were developed, and performance was evaluated by comparing predicted and actual LOS using correlation coefficient values and percent accuracy. Totally 837 patients were selected with mean patient age being 62.5 ± 11.7 [SD] years and 67% being male. The ML model demonstrated the best accuracy (validation correlation 0.48, 4-day accuracy 70%), compared with the statistical models: multivariate analysis (0.45, 67%) and least absolute shrinkage and selection operator (0.42, 70%). All were superior to the ACS-NSQIP calculator's performance (0.23, 59%). We developed statistical and ML models that predicted LOS following major free flap reconstructive surgery for OCC. Our models demonstrated superior predictive performance to the ACS-NSQIP calculator. The ML model identified several novel predictors of LOS. These models must be validated in other institutions before being used in clinical practice. Level 3 Laryngoscope, 2024.

Cellular host response sepsis test for risk stratification of patients in the emergency department: A pooled analysis.

Sepsis is one of the most common, costly, and misdiagnosed conditions in U.S. emergency departments (EDs). ED providers often treat on nonspecific signs, subjective suspicion, or presumption of infection, resulting in over- and undertreatment. An increased understanding of host response has opened a new direction for sepsis diagnostics. The IntelliSep test is a U.S. Food and Drug Administration-cleared cellular host response diagnostic that could help distinguish sepsis in ED settings. Our objective was to evaluate the potential of the cellular host response test to expedite appropriate care for patients who present with signs of infection. We performed a pooled analysis of five adult (≥18 years) cohorts enrolled at seven geographically diverse U.S. sites in separate studies. Structured blinded adjudication was used to classify presence or absence of sepsis, and only patients with high confidence in the adjudicated label were included (n = 1002), defined as patients for whom there was consensus in the determination of sepsis per the Sepsis-3 and severe sepsis per the Sepsis-2 definitions between both the independent adjudication panel and the site-level physician. Among patients with signs or suspicion of infection, the test achieved similar or better performance compared to other indicators in identifying patients at high risk for sepsis (specificity > 83%) and significantly superior performance in identifying those at low risk (sensitivity > 92%; 0% sepsis-associated mortality). The test also stratified severity of illness, as shown by 30-day in-hospital mortality (p < 0.001), hospital length of stay (p < 0.01), and use of hospital resources (p < 0.001). Our data suggest that the cellular host response test provides clinically actionable results for patients at both high and low risk for sepsis and provides a rapid, objective means for risk stratification of patients with signs of infection. If integrated into standard of care, the test may help improve outcomes and reduce unnecessary antibiotic use.

Remdesivir: A Quick Review of Pharmacotherapy

Background:: In the year 2009, Remdesivir or Veklury was discovered by Gilead Sciences for the management of hepatitis C, Ebola and Marburg virus disease through injection into a vein and then a few years later, 22nd Oct 2020 (United States), the drug was recommended for the management of COVID-19 under a provisional guideline. Objective:: The aim of this systematic review was to address pharmacotherapy approaches associated with the efficacy and side effects of remdesivir for the treatment of viral infections. Methods:: This is a focused, in-depth consequent guide approach and literature search, with a methodical assessment associated with the terms “Remdesivir,” “ Remdesivir Bioavailability,” “Remdesivir and Disease,” “ Remdesivir and COVID-19” that was done through Pubmed, Scopus, and Web of Science from their inception to 2023. Results:: 105 studies included in silico, in-vivo, and in-vitro experiments to test remdesivir therapeutic efficacy were selected based on the current, knowledgeable, and high-quality topics of manuscripts. Regarding efficacy, in addition to COVID-19, remdesivir shows therapeutic efficacy in other virus infections, such as hepatitis C, Ebola, and Marburg. In patients with COVID-19, remdesivir shortens the time to recovery, lowering progression to mechanical ventilation and decreasing hospital resources. Combination with dexamethasone in selected patients who need minimal conventional oxygen but are at high risk of severe COVID-19 was reported beneficial. Combination with chloroquine or hydroxychloroquine may cause a decrease in the antiviral activity of remdesivir, but dexamatason reported minimal or no reduction in drug exposure. However, synergistic effects were reported in combination with favipiravir, but methotrexate toxicity needs to be evaluated. Significant improvement in 'patients' conditions was reported in combination with methylprednisolone pulse therapy. Infusion-related reactions such as nausea, elevated liver enzymes, sweating, and hypotension are the most common side effects. Conclusion:: Different studies showed that with remdesivir pharmacotherapy, in addition to significant improvement in the recovery rate in those with COVID-19, the risk of adverse effects was significantly lower than in the control groups. To verify efficacy and side effects, besides attentive consideration of kidney and liver function, further evidence-based pharmacotherapy studies of remdesivir seem advantageous.

Beyond prevention: Unveiling the benefits of triple vaccination on COVID-19 severity and resource utilization in solid organ transplant recipients

ObjectiveDespite the widespread reduction in COVID-19-related morbidity and mortality attributed to vaccination in the general population, vaccine efficacy in solid organ transplant recipients (SOTR) remains under-characterized. This study aimed to investigate clinically relevant outcomes on double and triple-vaccinated versus unvaccinated SOTR with COVID-19. Study design and settingA retrospective propensity score-matched cohort study was performed utilizing data from the US Collaborative Network Database within TriNetX (n = 117,905,631). We recruited vaccinated and unvaccinated (matched controls) SOTR with COVID-19 over two time periods to control for vaccine availability: December 2020 to October 2022 (bi-dose, double-dose vaccine effectiveness) and December 2020 to April 2023 (tri-dose, triple-dose vaccine effectiveness). A total of 42 factors associated with COVID-19 disease severity were controlled for including age, obesity, diabetes, and hypertension. We monitored 30-day outcomes including acute respiratory failure, intubation, and death following a diagnosis of COVID-19. ResultsSubjects were categorized into two cohorts based on the two time periods: bi-dose cohort (vaccinated, n = 462; unvaccinated, n = 20,998); tri-dose cohort (vaccinated, n = 517; unvaccinated, n = 23,061).Compared to unvaccinated SOTR, 30-day mortality was significantly lower for vaccinated subjects in both cohorts: tri-dose (2.0% vs 7.5%, HR = 0.22 [95% CI: 0.11, 0.46]); bi-dose (3.7% vs 8.2%, HR = 0.43 [95% CI: 0.24, 0.76]). Hospital admission rates were similar between bi-dose vaccinated and unvaccinated subjects (33.1% vs 28.6%, HR = 1.2 [95% CI: 0.95, 1.52]). In contrast, tri-dose vaccinated subjects had a significantly lower likelihood of hospital admission (29.4% vs 36.6%, HR = 0.74 [95% CI: 0.6, 0.91]). Intubation rates were significantly lower for triple-vaccinated- (2.3% vs 5.2%, p < 0.05), but not double-vaccinated subjects (3.0% vs 5.2%, p > 0.05). ConclusionIn solid organ transplant recipients with COVID-19, triple vaccination, but not double vaccination, against SARS-CoV-2 was associated with significantly less hospital resource utilization, decreased disease severity, and fewer short-term complications. These real-world data from extensively matched controls support the protective effects of COVID-19 vaccination with boosters in this vulnerable population.

Inpatient Hospital Costs, Emergency Department Visits, and Readmissions for Revision Hip and Knee Arthroplasty

Revision total hip arthroplasty (THA) and total knee arthroplasty (TKA) tremendously burden hospital resources. This study evaluated factors influencing perioperative costs, including emergency department (ED) visits, readmissions, and total costs-of-care within 90 days following revision surgery. A retrospective analysis of 772 revision TKAs and THAs performed on 630 subjects at a single center between January 2007 and December 2019 was conducted. Cost data was available from January 2015 to December 2019 for 277 patients. Factors examined included comorbidities, demographic information, pre-operative Anesthesia Society of Anesthesiologists score, implant selection, and operative indication using mixed-effects linear regression models. Among 772 revisions (425 THA and 347 TKA), 213 patients required an ED visit, and 90 required hospital readmission within 90 days. There were 22.6% of patients who underwent a second procedure after their initial revision. Liver disease was a significant predictor of ED readmission for THA patients (multivariable OR [odds ratio]: 3.473, P = 0.001), while aseptic loosening, osteolysis, or instability significantly reduced the odds of readmission for TKA patients (OR: 0.368, P = 0.014). In terms of ED visits, liver disease increased the odds for THA patients (OR: 1.845, P = 0.100), and aseptic loosening, osteolysis, or instability decreased the odds for TKA patients (OR: 0.223, P < 0.001). Increased age was associated with increased costs in both THA and TKA patients, with significant cost factors including congestive heart failure for TKA patients (OR: $7,308.17, P = 0.004) and kidney disease for THA patients. Revision surgeries took longer than primary ones, with TKA averaging 3.0 hours (1.6 times longer) and THA 2.8 hours (1.5 times longer). Liver disease increases ED readmission risk in revision THA, while aseptic loosening, osteolysis, or instability decreases it in revision TKA. Increased age and CHF are associated with increased costs. These findings inform postoperative care and resource allocation in revision arthroplasty.

The pulmonary contusion score: Development of a simple scoring system for blunt lung injury

BackgroundPulmonary contusions (PC) are common after blunt chest trauma and can be identified with computed tomography (CT). Complex scoring systems for grading PC exist, however recent scoring systems rely on computer-generated algorithms that are not readily available at all hospitals. We developed a scoring system for grading PC to predict the need for prolonged mechanical ventilation and initial hospital admission location. MethodsA retrospective review was performed of adult blunt trauma patients with PC identified on initial chest CT during 2020. Data elements related to demographics, injury characteristics, disposition and healthcare utilization were extracted. The primary outcome was the need for mechanical ventilation for greater than 48 h. A novel scoring system, the Pulmonary Contusion Score (PCS) was developed. The maximum score was 10, with each lobe contributing up to 2 points. A score of 0 was given for no contusion present in the lobe, 1 for less than 50 % contusion, and 2 for greater than 50 % contusion. A PCS of 4 was hypothesized to correlate with need for mechanical ventilation for over 48 h. A confusion matrix of the scoring algorithm was created, and inter-rater concordance was calculated from a randomly selected 125 patients. ResultsA total of 217 patients were identified. 118 patients (54 %) were admitted to the ICU, but only 23 patients (19 %) were intubated, and only 17 patients (8 %) required mechanical ventilation > 48 h. Sensitivity of the scoring system was 20 %, while specificity was 93 %. Negative predictive value was 93 %. Inter-rater agreement was 77 %. ConclusionThe PCS is a scoring system with high specificity and negative predictive value that can be used to evaluate the need for mechanical ventilation after sustaining blunt PC and can help properly allocate hospital resources. Level of evidenceIV - diagnostic criteria

Left ventricular strain, arch angulation, and velocity-time integral ratio improve performance of a clinical pathway for fetal diagnosis of neonatal coarctation of the aorta.

Neonatal presentation of coarctation of the aorta (CoA) is a potentially life-threatening condition that is difficult to diagnose in fetal life. We therefore sought to validate and compare novel metrics that may add diagnostic value for fetal coarctation of the aorta, including the diastolic to systolic aortic isthmus VTI ratio (VTId:VTIs), ascending aorta to descending aorta angle (AAo-DAo), transverse aorta to descending aorta angle (TAo-DAo), and LV longitudinal strain (LVS). Then to evaluate whether these novel metrics improve specificity to identify fetuses at the highest risk for postnatal coarctation of the aorta (CoA) without compromising sensitivity. Retrospective cohort study of fetuses followed a prospective clinical pathway and previously classified as mild, moderate, or high-risk for CoA based on standard fetal echo metrics. Novel metrics were retrospectively measured in a blinded manner. Among fetuses with prenatal concern for coarctation of the aorta, VTId:VTIs, AAo-DAo angle, TAo-DAo angle, and LVS were significantly different between surgical and non-surgical cases (p <0.01 for all variables). In the subgroup of moderate- and high-risk fetuses, the standard high-risk criteria (flow reversal at the foramen ovale or aortic arch) did not discriminate effectively between surgical and non-surgical cases. VTId:VTIs, AAo-Dao angle, Tao-DAo angle, and LVS all demonstrated greater discrimination than standard high-risk criteria, with specificity of 100% and PPV (positive predictive value) of 78-100%. The incorporation of novel metrics added diagnostic value to our clinical pathway for fetal CoA with higher specificity than the previous high-risk criteria. The incorporation of these metrics into the evaluation of fetuses at moderate- or high-risk for surgical CoA may improve prenatal counseling, allow for more consistent surgical planning, and ultimately optimize hospital resource allocation.

Mathematical Modeling and its Stability Analysis of an SEIR Model to Control Dengue by Segregating the Infective: An Approach for Efficient Resource Allocation

Objectives: Many research deals study on modeling the spread of dengue virus disease. The study dealing mathematical model to influence the concept of segregating infective is very important as it makes an organised practice of treatment which enlightens civilization. This article focuses on the same and frames a model with a proper analysis. Methods: BhirkoffRhota theorem helps in proving the boundedness of the model. By using the Next-Generation matrix the expression for Reproduction number is determined. The Routh-Hurwitz stability criterion is used to reveal the Local Stability of the proposed model. The aid of Lyapunov-LaSalle's principle proves the Global Stability. Findings: The proposed model is found to be positive and also bounded. Moreover, the equilibrium points exists and stable locally and globally. The numerical simulation shows that at the disease-free equilibrium and at the endemic equilibrium proving the stability of the model numerically. The comparative analysis of the model results in revealing the fact that the proposed model controls the infective better than the usual model. Novelty: The article differs from the usual model by incorporating the idea of categorizing the infected population into 3 phase namely febrile, critical and convalescent concluding that the use of proposed model helps in effective treatment and in efficient management of hospital resources in a systematic way. Keywords: Epidemic, Treatment Class, SEIR model, Jacobian matrix, Sensitivity index

Rural–urban inequalities in health care utilization in Bhutan: a decomposition analysis

Background and objectiveOn the trajectory towards universal health coverage in Bhutan, health equity requires policy attention as significant disparities exist between urban and rural health outcomes. This paper examines health services utilization patterns, inequalities and their socio-economic determinants in rural and urban areas and decomposes the factors behind these differences.MethodsWe used the Bhutan Living Standard Survey 2017 to profile health services utilization patterns and equalities. We employed two different decomposition analyses: decomposition of mean differences in utilization using the Oaxaca–Blinder decomposition framework and differences in the income-related distribution in utilization using recentered influence function regressions between rural and urban areas.ResultsSignificant differences exist in the type of outpatient services used by the rural and urban population groups, with those living in rural areas having 3.4 times higher odds of using primary health centers compared to outpatient hospital care. We find that the use of primary health care is pro-poor and that outpatient hospital resources is concentrated among the more affluent section of the population, with this observed inequality consistent across settings but more severe in rural areas. The rural–urban gap in utilization is primarily driven by income and residence in the eastern region, while income-related inequality in utilization is influenced, aside from income, by residence in the central region, household size, and marriage and employment status of the household head. We do not find evidence of significant mean differences in overall utilization or inequality in utilization of inpatient health care services.ConclusionsWhile the differences in average contacts with health services are insignificant, there are prominent differences in the level of services availed and the associated inequality among rural and urban settings in Bhutan. Besides, while there are obvious overlaps, factors influencing income-related inequality are not necessarily the same as those driving the utilization gaps. Cognizance of these differences may lead to better informed, targeted, and potentially more effective future research and policies for universal health coverage.

Home care models dedicated to COVID-19 patients: the experience of a Local Health District of Veneto Region (Italy).

During COVID-19 pandemic, health professionals have been working in an extreme uncertainty context. Affected patients needed to be cared at home as long as possible to avoid virus spreading and hospital resources saturation. The Veneto Regional Administration (North-east of Italy) released Regional guidelines about it. The Western Healthcare District of the Local Health Authority of the city of Vicenza (180,000 inhabitants) implemented a healthcare pathway following them. Aim of the study is to describe the results and outcomes of such implementation. In the implemented health care pathway, a new service called "Special Unit of continuity of care" (USCA) with physicians and nurses has been dedicated to the prise en charge at home of patients suffering from Sars-CoV-2. They were referred to the USCA by general practitioners or by hospital specialists, and managed through a daily clinical monitoring by regular home visits and phone calls, specialist consultations and therapy management. In order to prevent hospital admission, an oxygen concentrator when possible has been employed and managed at home by the members of the USCA when the oxygen saturation was below 93%. An observational retrospective study has been conducted using anonymized data from different databases: the USCA activity database (from 12/01/20 to 21/31/21), the hospital and Emergency Department discharge databases, and the "healthcare co-payments exemptions database". The latter database refers to the people excluded - because of their chronicity - from the co-payment of a list of medical exams and services. Descriptive and multivariate logistic regression analyses have been implemented. 1,419 patients suffering from Sars-CoV-2 have been cared and managed by the USCA in the considered period of time (mean 11.4 days), of whom 787 (55.5%) with at least one chronic condition (described in the above quoted "healthcare co-payments exemption database") and 261 provided with oxygen concentrator. 275 (19.4%) needed a hospital admission, 39 (2.8%) in intensive unit; 53 died during hospitalization (3.8%). Out of the 261 patients utilizing oxygen concentrator, 103 have been admitted to hospital (39.5%), 7.3% in intensive unit and 8.0% died. In implemented multivariate analyses, the use of oxygen concentrator, proxy measure of the severity of the condition, is the major determinant for the risk of hospital admission (adj OR: 3.2, CI 2.3-4.3) and of dying within 30 days (adj OR: 2.8 CI 1.5-5.1). Among the 261 patients provided with oxygen concentrator, 158 (60,5%) have been managed at home without any admission to emergency department and/or hospitalization. In an uncertain context such as COVID-19 pandemic, the already-implemented home care model has been modified by integrating the USCA physicians and nurses and specialist care networks to prevent hospitalization and the sense of isolation and abandonment of people as much as possible. Almost 1,500 patients suffering from COVID-19 have been cared for at home over 13 months by such new service with complex and multidisciplinary activities. The risk of hospitalization and death appears determined by the severity of the pathology with high and significant OR 60% of patients with oxygen concentrators who, despite an initial high hyposaturation were not hospitalized, represent, partly, the group of patients who would have been requiring hospital care in the absence of a home care pathway in a standard situation.