Assessment of Complications and Length of Hospital Stay Associated With Surgical Emergencies in Patients With Concurrent COVID-19 Infection.

The delivery of surgical services was profoundly affected by the COVID-19 pandemic, resulting in the postponement of elective surgeries and a shift in focus to essential emergency procedures. Our study aimed to assess the impact of concurrent COVID-19 infection on complications, hospital stay, and recovery following emergency surgery. A retrospective matched cohort study was conducted between July 2020 and February 2022 at a tertiary care hospital in India. Data from 48 patients with COVID-19 infection in the immediate preoperative period was compared with 48 matched controls not infected with the virus. The data collected included patient demographics, surgical procedures, duration of hospital stay, and postoperative complications. Patients with concurrent COVID-19 infection had notably longer mean hospital stays (13.44 days) than the controls (6.63 days) (P = 0.002). An elevated proportion of COVID-19-positive patients experienced discharge delays (36 out of 48, 75%), compared to just six of the 48 non-COVID-19 patients (12.5%) (P ≤ 0.001). Postoperative findings in the COVID-positive cohort revealed elevated rates of pulmonary complications (5/48, 10.4%), higher rates of postoperative ICU admissions (8/48, 16.7%), and persistently elevated D-dimer levels extending beyond postoperative day seven (18/48, 37.5%). This suggests that emergency surgery in patients with COVID-19 is linked to significantly lengthier hospital stays, increased discharge delays, and a greater prevalence of adverse events in the postoperative period when compared to controls. These findings underscore the need for enhanced perioperative strategies and preparedness for potential future pandemics.

Association between long-term exposure to low ambient PM2.5 and cardiovascular hospital admissions: A UK Biobank study.

INTRODUCTION: A causal link between air pollution exposure and cardiovascular events has been suggested. However fewer studies have investigated the shape of the associations at low levels of air pollution and identified the most important temporal window of exposure. Here we assessed long-term associations between particulate matter < 2.5 µm (PM2.5) at low concentrations and multiple cardiovascular endpoints using the UK Biobank cohort. METHODS: Using data on adults (aged > 40) from the UK Biobank cohort, we investigated the associations between 1-year, 3-year and 5-year time-varying averages of PM2.5 and incidence of major adverse cardiovascular events (MACE), myocardial infarction (MI), heart failure, atrial fibrillation and flutter and cardiac arrest. We also investigated outcome subtypes for MI and stroke. Events were defined as hospital inpatient admissions. We fitted Cox proportional hazard regression models applying extensive control for confounding at both individual and area level. Finally, we assessed the shape of the exposure-response functions to assess effects at low levels of exposure. RESULTS: We analysed data from 377,736 study participants after exclusion of prevalent subjects. The average follow-up (2006-2021) was 12.9 years. We detected 19,353 cases of MACE, 6,562 of acute MI, 6,278 of heart failure, 1,258 for atrial fibrillation and flutter, and 16,327 for cardiac arrest. Using a 5-year exposure window, we detected positive associations (for 5 µg/m3 increase in PM2.5) for 5-point MACE of [1.12 (95 %CI: 1.00-1.26)], heart failure [1.22 (1.00-1.50)] and cardiac arrest [1.16 (1.03-1.31)]. We did not find any association with acute MI, while non-ST-elevation MI was associated with the 1-year exposure window [1.52 (1.12-2.07)]. The assessment of the shape of the exposure-response relationships suggested that risk is approximately linear for most of the outcomes. CONCLUSIONS: We found positive associations between long-term exposure to PM2.5 and multiple cardiovascular outcomes for different exposure windows. The cardiovascular risk tends to rise even at exposure concentrations below 12-15 µg/m3, indicating high risk below UK national and international thresholds.

Geriatric Trauma Intensive Care Unit Admission Guideline is Associated With Reduction in Unplanned Intensive Care Unit Admissions.

INTRODUCTION: Geriatric trauma patients experience disproportionate adverse outcomes compared to younger patients with similar injuries and represent an important target for quality improvement. Our institution created a Geriatric Trauma Intensive Care Unit (ICU) Admission Guideline to identify high-risk patients and elevate their initial level of care. The goal of implementation was reducing unplanned ICU admissions (UIAs), a recognized surrogate marker for adverse outcomes. METHODS: The Geriatric Trauma ICU Admission Guideline was implemented on July 1, 2020, at a large academic level-1 trauma center. Using trauma registry data, we retrospectively analyzed geriatric patients who met the criteria for ICU admission 2 y preimplementation and postimplementation. The main outcome was UIAs in the target geriatric population. Secondary outcomes included hospital length of stay, ICU length of stay, ventilator days, mortality, and 30-d readmissions. Characteristics between groups were compared with t-test, Mann-Whitney U test, or chi-square test. Risk-adjusted logistic and negative binomial regressions were used for the categorical and continuous outcomes, respectively. RESULTS: A total of 1075 patients were identified with 476 in the preimplementation and 599 in the postimplementation group. The groups were similar across most demographic and physiologic characteristics, with the exception of a higher incidence of hypertension in the preimplementation group (77.7% versus 71.6%, P = 0.02) and COVID in the postimplementation group (3.8% versus 0.4%, P < 0.001). While mechanism of injury was similar, there was a higher incidence of traumatic brain injury in the preimplementation group (35.1% versus 26.2%, P = 0.002). In the postimplementation group, there was a higher incidence ≥3 rib fractures (68% versus 61.3%, P = 0.02) and an expected increase in initial ICU level of care (69.5% versus 37.1%, P < 0.001). The odds of a UIA after guideline implementation were reduced by half (adjusted odds ratio 0.52, 95% confidence interval 0.3-0.92). There was not a significant difference in the secondary outcomes of mortality, 30-d readmission, hospital-free days, ICU-free days, or ventilator-free days. CONCLUSIONS: Implementation of the Geriatric Trauma ICU Admission Guideline was associated with a reduction in UIAs by half in the target population. There was not a significant change in hospital-free days, ICU-free days, ventilator-free days, mortality, 30-d readmission, or venous thromboembolism. Further research is needed to better refine admission guidelines, examine the association of preventative admission on delirium, and determination of criteria that would allow safe, earlier downgrade.

Addressing Bias in the Occupational Therapy Admissions Process.

This study investigated the impact of a workshop in reducing unconscious bias in admissions committee members of an occupational therapy program to determine if workshop participation increased the number of underrepresented students in the program. A convenience sample of 50 committee members was used. A Wilcoxon matched pairs signed rank test indicated a significant increase in the post-test survey question scores. A chi-square test of independence revealed a significant increase in the number of students in the program from underrepresented groups. These results suggest that an online workshop can reduce perceived bias and increase diversity in an occupational therapy program.

Recent trends in hospital admission due to bipolar disorder in 10-19-year-olds in Spain: A nationwide population-based study.

INTRODUCTION: Bipolar disorder (BD) hospitalization rates in children and adolescents vary greatly across place and over time. There are no population-based studies on youth BD hospitalizations in Spain. METHODS: We identified all patients aged 10-19 hospitalized due to BD in Spain between 2000 and 2021, examined their demographic and clinical characteristics, and assessed temporal trends in hospitalizations - overall and stratified by age and presence of additional psychiatric comorbidity. We used Joinpoint regressions to identify inflection points and quantify whole-period and annual percentage changes (APCs) in trends. RESULTS: Of 4770 BD hospitalizations in 10-19-year-olds between 2000 and 2021 (average annual rate: 4.8 per 100,000), over half indicated an additional psychiatric comorbidity, most frequently substance abuse (62.2%), mostly due to cannabis (72.4%). During the study period, admissions increased twofold with an inflection point: Rates increased annually only between 2000 and 2008, for APCs 34.0% (95% confidence interval: 20.0%, 71.1%) among 10-14-year-olds, 10.3% (6.4%, 14.3%) among 15-19-year-olds, and 15.5% (11.5%, 22.7%) among patients with additional psychiatric comorbidity. Between 2009 and 2021, rates decreased moderately among 10-14-year-olds - APC: -8.3% (-14.1%, -4.4%) and slightly among 15-19-year-olds without additional psychiatric comorbidity - APC: -2.6(-5.7, -1.0), remaining largely stable among 15-19-year-olds overall. CONCLUSIONS: Recent trends in hospitalization due to BD in 10-19-year-olds in Spain indicate salient increases in the early 2000s - especially among (i) patients aged 10-14 (decreasing moderately after 2009 among 10-14-year-olds and plateauing among 15-19-year-olds) and (ii) patients with additional psychiatric comorbidity (i.e., cannabis use disorder). These findings suggest links with recent changes in clinical practices for children and recent trends in substance use among Spanish youth.

Association between P M 10 and respiratory diseases admission in peninsula Malaysia during haze.

Numerous studies have been conducted in other countries on the health effects of exposure to particulate matter with a diameter of 10 microns or less P M 10 , but little research has been conducted in Malaysia, particularly during the haze season. This study intends to investigate how exposure of P M 10 influenced hospital admissions for respiratory diseases during the haze period in peninsula Malaysia and it was further stratified by age group, gender and respiratory diseases categories. The study includes data from all patients with respiratory diseases in 92 government hospitals, as well as P M 10 concentration and meteorological data from 92 monitoring stations in Peninsula Malaysia starting from 1st January 2000 to 31st December 2019. A quasi-poison time series regression with distributed lag nonlinear model (DLNM) was employed in this study to examine the relationship between exposure of P M 10 and hospital admissions for respiratory diseases during the haze period. Haze period for this study has been defined from June to September each year. According to the findings of this study, P M 10 was positively associated with hospitalisation of respiratory disease within 30 lag days under various lag patterns, with lag 25 showing the strongest association (RR = 1.001742, CI 1.001029,1.002456). Using median as a reference, it was discovered that females were more likely than males to be hospitalized for P M 10 exposure. Working age group will be the most affected by the increase in P M 10 exposure with a significant cumulative RR from lag 010 to lag 030. The study found that P M 10 had a significant influence on respiratory hospitalisation in peninsula Malaysia, particularly for lung diseases caused by external agents(CD5). Therefore, it is important to implement effective intervention measures to control P M 10 and reduce the burden of respiratory disease admissions.

Test preparation breeds success: Two quasi-experimental interventions in the context of the Swiss aptitude test for medical-school admissions.

BACKGROUND: In Switzerland, the scholastic aptitude test for medical-school selection takes place in three languages. This study examined the effects of two quasi-experimental interventions that aimed to reduce existing differences in test results between the French- and German-speaking language candidates. METHODS: Between 2018 and 2023, the population of applicants to Swiss medical schools consisted of N = 18'824 German- and French-speaking individuals. Based on a quasi-experimental design, we examined the effects of two interventions regarding preparatory material, in these cohorts. The first intervention (2022) consisting of practice trials in baccalaureate schools in the canton of Fribourg enabled French-speaking candidates primarily from the canton of Fribourg to prepare more intensively with official tasks. Practice trials enable future candidates to complete a published test version under original conditions and thus prepare how to approach the real test. The second intervention (2023) released new preparatory material in all languages for one group of tasks for which differences between the language groups were more pronounced than in the other tasks. The test provider offered this material for free download together with existing preparation materials and thereby enabled more intensive preparation. RESULTS: After the first intervention, the initially small to medium-sized mean differences in z-transformed test scores between French-speaking candidates from Fribourg and German-speaking candidates were nearly eliminated (from 0.39 to 0.05). Also for French-speaking candidates from outside of the canton of Fribourg, the mean differences were smaller than before the intervention (0.48 before, 0.39 after first intervention). After the second intervention, particularly the mean differences in test scores between German-speaking and French-speaking candidates from outside of Fribourg were further reduced (to 0.24). CONCLUSIONS: The two interventions regarding material for preparing to participate in the aptitude test affected candidates' test scores. They reduced the gap between German- and French-speaking candidates showing that the additional benefits of commercial offers for test preparation are limited. Hence, offering comparable official preparation material to all language groups enhances test fairness.

Risk of suicide after hospitalizations due to acute physical health conditions-a cohort study of the Norwegian population.

BACKGROUND: It is well known that individuals recently discharged from psychiatric inpatient care face a high risk of suicide. Severe physical health conditions have also been linked to suicide risk. The risk of suicide following discharge from somatic hospitals is not known for individuals admitted due to acute physical health conditions. METHODS: A Cohort study using data from the entire Norwegian population aged 12 years and older from 2008 to 2022 linked with information on health service use and cause of death. We used Cox regression with age as time axis to estimate sex-adjusted hazard ratios of suicide following discharge for ages 12 to 64 years and 65 years and older. We also performed analyses after excluding hospitalizations with indications of concurrent mental disorders, self-harm, or suicide attempts. To assess individual risk, we performed an adapted case-crossover analysis among discharged patients who died from suicide. RESULTS: A total of 4 632,980 individuals aged 12 to 64 years and 1,469,265 individuals aged 65 years and older were included. Compared to unexposed individuals at similar ages, we found an increased risk of suicide in the first 4 weeks after discharge, with a hazard ratio (HR) of 7.0 (95% confidence interval (CI) 5.9 to 8.3) among those aged 12 to 64 years and 6.8 (95% CI 5.4 to 8.6) among those 65 years and older. In the younger age group, the risk was attenuated, with a HR of 2.4 (95% CI 1.7 to 3.2) after excluding hospitalizations with indications of concurrent mental disorders, self-harm, or suicide attempts. The corresponding HR was 4.8 (95% CI 3.5 to 6.4) among those 65 years and older, declining to 1.9, (1.2 to 3.1) in weeks 5 to 8 and 1.2 (0.7 to 2.2) in weeks 21 to 24. The case-crossover analysis confirmed that individuals 65 years and older were particularly vulnerable. CONCLUSIONS: The heightened risk of suicide following discharge from acute somatic hospitalization, even in the absence of concurrent mental disorders, self-harm, or prior suicide attempts, underscores the critical need for comprehensive mental health and existential support for patients post-discharge.

Comprehensive analysis of multiple sclerosis hospitalization trends in Spain (1998-2022).

OBJECTIVE: To analyse the trends in MS hospitalization rates in Spain (1998-2022) considering age, period, and birth cohort (A-P-C) effects. METHODS: This retrospective study used data on MS hospitalizations from the Spanish National Health System Minimum Basic Data Set (CMBD). Age-Standardized Hospitalization Rates (ASHRs) and Joinpoint analysis were used to assess trends. A-P-C analysis was performed to estimate age-specific rates, period and cohort effects. RESULTS: From 1998 to 2022, MS hospital admissions in Spain declined annually by -2.1 %, with women showing a slightly greater decrease (-2.3 %) than men (-1.7 %). Joinpoint analysis revealed non-parallel trends, with three inflection points indicating distinct periods of stabilization and decline. ASHR showed an overall decrease, with -2.0 % for men and -2.2 % for women annually. Risk of hospitalization peaked in the 25-29-year age group for men and 30-34-year age group for women, declining with age. Women consistently had higher risk ratios across age groups. Cohort analysis showed periods of stabilization and decline in MS hospitalization risk, aligning with joinpoint analysis findings. Risk increased for cohorts born in the early 20th century, peaking around 1938, followed by a progressive decline in later cohorts. CONCLUSIONS: Despite an aging population, MS hospitalization rates in Spain decreased. The risk of hospitalization for MS is affected by a person's age, the time period they were born in, the historical context of healthcare received, and potentially their sex.

Income and campus application disparities among European and non-European heritage Hispanic undergraduate applicants.

Leveraging every undergraduate application submitted by self-identified Hispanic applicants to the University of California system in the 2016 and 2017 application cycles, we show that a significant number of applicants claim Hispanic identity by virtue of European heritage. We subsequently demonstrate that Hispanic-identifying students of European descent are significantly more affluent and more likely to apply to selective University of California campuses than their non-European Hispanic peers. We comment on the practical implications of these disparities, as well as their relevance for studies of inequality in the social sciences and education.

A pilot study testing a new transition of care model from hospital to the community for Hispanic/Latino adults with diabetes to reduce emergency department visits and hospital re-admissions.

BACKGROUND: Hispanic/Latino populations have the second highest prevalence of diabetes (12.5%) among ethnic minority groups in the USA. They also have higher rates of uncontrolled diabetes and diabetes-related complications. Approximately 29% of diabetes care costs are attributed to inpatient hospital care. To reduce hospital length of stay and re-admission rates for diabetes, the American Diabetes Association (ADA) recommends a "structured discharge plan tailored to the individual patient with diabetes." However, limited research exists on the feasibility and applicability of a transition of care model specifically tailored for the Hispanic/Latino population. METHODS: We conducted a 2-year pilot study to develop a practical, patient-centered, and culturally competent transition of care (TOC) model for Hispanic/Latino adults with diabetes discharged from the hospital to the community. Feasibility outcomes included recruitment rates, questionnaire completion rates, adherence to a 30-day post-discharge phone call, and resource needs and utilization for study implementation. Participant-centered outcomes included 30-day post-discharge emergency department (ED) visits, 30-day post-discharge unplanned re-admissions, follow-up visits within 2 weeks of discharge, and patient satisfaction with the TOC model. RESULTS: Twelve participants were enrolled over the study period, with weekly enrollment ranging from 0 to 4 participants. Participants' average age in years was 47 (± 11.6); the majority were male (85%), and 75% had type 2 diabetes. Recruitment involved the support of 4 bilingual staff. The estimated time to review the chart, approach participants, obtain informed consent, complete questionnaires, and provide discharge instructions was approximately 2.5 h. Of the 10 participants who completed the 30-day post-discharge phone call, none had ED visits or unplanned hospital re-admissions within 30 days post-discharge, and all had a follow-up with a medical provider within 2 weeks. CONCLUSIONS: Implementing a patient-centered and culturally competent TOC model for Hispanic/Latino adults with diabetes discharged from the hospital to the community is feasible when considering key resources for success. These include a bilingual team with dedicated and funded time, alignment with existing discharge process and integration into the Electronic Medical Record (EMR) systems.

Exposure to acute ambient temperature extremes and neonatal intensive care unit admissions: A case-crossover study.

BACKGROUND: Extreme in utero temperatures have been associated with adverse birth outcomes, including preterm birth and low birthweight. However, there is limited evidence on associations with neonatal intensive care unit (NICU) admissions, which reflect a range of poor neonatal health outcomes. METHODS: This case-crossover study assesses the associations between ambient temperature changes during the week of delivery and risk of NICU admission. Data from the Consortium on Safe Labor (2002-2008) were linked to ambient temperature at hospital referral regions. Adjusted hazard ratios (HR) and 95 % confidence intervals (CI) estimated NICU admission risk with a 1 °C increase on each day of the week of delivery and of the average weekly temperature, adjusted for particulate matter ≤2.5 µm (PM2.5) and relative humidity. We also estimated associations with 1 °C increases and 1 °C decreases in temperatures during weeks of site-specific extreme heat (>90th and 95th percentiles) and cold (<5th and 10th percentiles), respectively. RESULTS: There were 27,188 NICU admissions with median (25th, 75th) temperature of 16.4 °C (5.8, 23.0) during the week before delivery. A 1 °C increase in temperature during the week of delivery was not associated with risk of NICU admission. However, analyses of extreme temperatures found that a 1 °C decrease in weekly average temperatures below the 10th and 5th percentiles was associated with 30 % (aHR = 1.30, 95 % CI 1.28, 1.31) and 47 % (aHR = 1.47, 95 % CI 1.45, 1.50) increased risk of NICU admissions, while a 1 °C increase in weekly average temperatures above the 90th and 95th percentiles was associated with more than two- (aHR = 2.29, 95 % CI 2.17, 2.42) and four-fold (aHR = 4.30, 95 % CI 3.68, 5.03) higher risk of NICU admission, respectively. CONCLUSIONS: Our study found temperature extremes in the week before delivery increased NICU admission risk, particularly during extreme heat, which may translate to more adverse neonatal outcomes as extreme temperatures persist.

Outpatient use of antibiotics in uncomplicated diverticulitis decreases hospital admissions.

INTRODUCTION: Recently, antibiotics use in uncomplicated acute diverticulitis (AD) has been controversial in Europe. The American Gastroenterological Association (AGA) in their 2015 guidelines recommend their selective use. Our study highlights their role in outpatient management. METHODS: We queried the Diamond Network through TriNetX-Research Network including 92 healthcare organizations. We included large intestine diverticulitis without perforation, abscess or bleeding. Exclusion criteria included any of sepsis criteria, CRP > 15 mg/L, immunodeficiency or HIV, coronary artery disease, chronic kidney disease, history of Crohn's disease or ulcerative colitis, heart failure, hypertension, diabetes or any of the following in the 3 months before study date; clostridium difficile (C. diff) infection, diverticulitis or antibiotics. Patients with AD were divided into two cohorts; patients on antibiotics, and patients not on antibiotics. Cohorts were compared after propensity-score matching (PSM). RESULTS: 214,277 patients met inclusion criteria. 58.9% received antibiotics, and 41% did not. After PSM, both cohorts had 84,320. Rate of hospital admission was lower in the antibiotic group (3.3% vs 4.2%, p < .001). There was a statistical difference between ICU admission (0.1% vs 0.15%, p < .01) and the rate of bowel perforation, peritonitis, abscess formation or bleeding (1.3% vs 1.4%, p = .044). There was no difference in mortality (0.1% vs 0.1%, p = .11), C. diff (0.1% vs 0.1%, p = .9), colectomies (0.2% vs 0.2%, p = .33), or Acute Kidney Injury (AKI) (0.1% vs 0.1%, p = .28). CONCLUSION: Outpatient use of antibiotics in patients with uncomplicated AD is associated with lower rates of hospital admissions and complications without changing mortality rate or surgical intervention.

Associations Between Anthropogenic Factors, Meteorological Factors, and Cause-Specific Emergency Department Admissions.

Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause-specific ED admissions from 2014 to 2018 across 12 categories. Generalized additive models were used to assess non-linear associations for each exposure, yielding Incidence Rate Ratios (IRR), while the population attributable fraction (PAF) calculated each exposure's contribution to cause-specific ED admissions. IRRs revealed increased risks of ED admissions for respiratory infections (IRR: 1.06, 95% CI: 1.01-1.11) and infectious and parasitic diseases (IRR: 1.09, 95% CI: 1.03-1.15) during increased rainfall (13.21-16.97 mm). Wind speeds >12.73 km/hr corresponded to increased risks of ED admissions for respiratory infections (IRR: 1.12, 95% CI: 1.03-1.21) and oral diseases (IRR: 1.58, 95% CI: 1.31-1.91). Higher concentrations of air pollutants were associated with elevated risks of cardiovascular disease (IRR: 1.16, 95% CI: 1.05-1.27 for PM10) and respiratory infection-related ED admissions (IRR: 2.78, 95% CI: 1.69-4.56 for CO). Wind speeds >12.5 km/hr were predicted to contribute toward 10% of respiratory infection ED admissions, while mean temperatures >28°C corresponded to increases in the PAF up to 5% for genitourinary disorders and digestive diseases. PM10 concentrations >60 µg/m3 were highly attributable toward cardiovascular disease (PAF: 10%), digestive disease (PAF: 15%) and musculoskeletal disease (PAF: 10%) ED admissions. CO concentrations >0.6 ppm were highly attributable to respiratory infections (PAF: 20%) and diabetes mellitus (PAF: 20%) ED admissions. This study underscores protective effects of meteorological variables and deleterious impacts of air pollutant exposures across the ED admission categories considered.

Personal characteristic differences among Doctor of Physical Therapy students with unique sociodemographic factors.

BACKGROUND: The Association of American Medical Colleges suggests an Experiences-Attributes-Metrics framework for holistic review, but there is minimal research on demographic and personal characteristic attributes and the interplay between these Attributes subcategories. Understanding how personal attributes may vary among students considered represented and those considered underrepresented in one or more categories is critical to avoid unintentionally perpetuating practices that favor represented groups. This study explored differences in six personal characteristics either consistently related to academic performance or deemed positive professional traits based on diversity characteristics (categories of underrepresentation), age, and sex. METHODS: Three cohorts of first-year Doctor of Physical Therapy students at a single institution were invited to participate in this prospective, observational study. Participants completed six surveys: PROMIS® General Self-efficacy, PROMIS® Anxiety, 12-item Grit Scale, Perceived Stress Scale-10 (PSS-10), Brief Resilience Scale (BRS), and PROMIS® Positive Affect. T-tests and ANOVAs (or nonparametric equivalents) were used to examine differences in these measures by number of diversity characteristics, age, and sex. Multivariate linear regression was used to determine if diversity characteristics explained additional variance in each of the personal attribute scores after controlling for age and sex. RESULTS: One Hundred and Forty Five students participated (80.7% female, 77.9% < 25 years old, 51% 0 diversity characteristics). Students with more diversity characteristics and males reported higher self-efficacy and resilience (p's < 0.05). Females reported higher anxiety (p's < 0.01). Diversity characteristics explained additional variance in self-efficacy (3.3%, p = 0.02) and resilience (2.5%, p = 0.05) after controlling for age and sex. Grit, perceived stress, and positive affect did not show any group differences. CONCLUSIONS: Underrepresented students demonstrated higher self-efficacy and resilience than their represented peers, qualities that may be important to overcome challenges prior to and during graduate school. Males exhibited higher self-efficacy and resilience, but lower anxiety than females which is generally consistent across higher education. Grit, perceived stress, and positive affect were similar across all students and may be less useful to create a diverse learning environment. Further studies should investigate differences in attributes among admitted and unadmitted students and the relationship to future performance for admitted students.

A follow up report validating long term predictions of the COVID-19 epidemic in the UK using a dynamic causal model.

Background: This paper asks whether Dynamic Causal modelling (DCM) can predict the long-term clinical impact of the COVID-19 epidemic. DCMs are designed to continually assimilate data and modify model parameters, such as transmissibility of the virus, changes in social distancing and vaccine coverage-to accommodate changes in population dynamics and virus behavior. But as a novel way to model epidemics do they produce valid predictions? We presented DCM predictions 12 months ago, which suggested an increase in viral transmission was accompanied by a reduction in pathogenicity. These changes provided plausible reasons why the model underestimated deaths, hospital admissions and acute-post COVID-19 syndrome by 20%. A further 12-month validation exercise could help to assess how useful such predictions are. Methods: we compared DCM predictions-made in October 2022-with actual outcomes over the 12-months to October 2023. The model was then used to identify changes in COVID-19 transmissibility and the sociobehavioral responses that may explain discrepancies between predictions and outcomes over this period. The model was then used to predict future trends in infections, long-COVID, hospital admissions and deaths over 12-months to October 2024, as a prelude to future tests of predictive validity. Findings: Unlike the previous predictions-which were an underestimate-the predictions made in October 2022 overestimated incidence, death and admission rates. This overestimation appears to have been caused by reduced infectivity of new variants, less movement of people and a higher persistence of immunity following natural infection and vaccination. Interpretation: despite an expressive (generative) model, with time-dependent epidemiological and sociobehavioral parameters, the model overestimated morbidity and mortality. Effectively, the model failed to accommodate the "law of declining virulence" over a timescale of years. This speaks to a fundamental issue in long-term forecasting: how to model decreases in virulence over a timescale of years? A potential answer may be available in a year when the predictions for 2024-under a model with slowly accumulating T-cell like immunity-can be assessed against actual outcomes.

Prescription patterns in management of Heart failure and its association with re-admissions: A retrospective analysis.

BACKGROUND: AHA/ACC/HFSA recently added SGLT2i in addition to RAASi, Beta-blockers and MRAs to form the 4 pillars of Guideline-directed Medical Therapy (GDMT) for management of Heart Failure with reduced ejection fraction (HFrEF). Despite strong evidence suggesting improved outcomes with inpatient initiation of GDMT at target doses, significant lag has been noted in prescription practices. OBJECTIVES: To study GDMT prescription rates in patients with HFrEF at the time of hospital discharge and evaluate its association with various patient characteristics and all-cause readmission rates. METHODS: We used a modified version of Heart Failure Collaboratory (HFC) score to characterize patients into 2 groups (those with HFC score <3 and HFC score ≥3) and to examine various socio-economic and biomedical factors affecting GDMT prescription practices. RESULTS: Out of the eligible patients, the prescription rates for Beta-blockers was 77.9%, RAASi was 70.3%, and MRAs was 41%. Furthermore, Prescription rates for Sacubitril/Valsartan was 27.7% and SGLT2i was 17%. Only 1% of patients had HFC score 9 (drugs from all 4 classes at target doses). Patients of black ethnicity, those admitted on teaching service and those with HfrEF as the primary cause of admission were more likely to have HFC ≥ 3 at discharge. HFC ≥ 3 was associated with lower rates of 1-month all cause readmissions. CONCLUSION: Consistent with the prior research, our data shows significant gaps in prescription of GDMT in HFrEF. Further implementation research should be done to improve GDMT prescription during inpatient stay.

Parental migration, socioeconomic deprivation and hospital admissions in preschool children in England: national birth cohort study, 2008 to 2014.

BACKGROUND: A third of children born in England have at least one parent born outside the United Kingdom (UK), yet family migration history is infrequently studied as a social determinant of child health. We describe rates of hospital admissions in children aged up to 5 years by parental migration and socioeconomic group. METHODS: Birth registrations linked to Hospital Episode Statistics were used to derive a cohort of 4,174,596 children born in state-funded hospitals in England between 2008 and 2014, with follow-up until age 5 years. We looked at eight maternal regions of birth, maternal country of birth for the 6 most populous groups and parental migration status for the mother and second parent (UK-born/non-UK-born). We used Index of Multiple Deprivation (IMD) quintiles to indicate socioeconomic deprivation. We fitted negative binomial/Poisson regression models to model associations between parental migration groups and the risk of hospital admissions, including interactions with IMD group. RESULTS: Overall, children whose parents were both born abroad had lower emergency admission rates than children with parents both born in the UK. Children of UK-born (73.6% of the cohort) mothers had the highest rates of emergency admissions (171.6 per 1000 child-years, 95% confidence interval (CI) 171.4-171.9), followed by South Asia-born mothers (155.9 per 1000, 95% CI 155.1-156.7). The high rates estimated in the South Asia group were driven by children of women born in Pakistan (186.8 per 1000, 95% CI 185.4-188.2). A socioeconomic gradient in emergency admissions was present across all maternal regions of birth groups, but most pronounced among children of UK-born mothers (incidence rate ratio 1.43, 95% CI 1.42-1.44, high vs. low IMD group). Patterns of planned admissions followed a similar socioeconomic gradient and were highest among children with mothers born in Middle East and North Africa, and South Asia. CONCLUSIONS: Overall, we found the highest emergency admission rates among children of UK-born parents from the most deprived backgrounds. However, patterns differed when decomposing maternal place of birth and admission reason, highlighting the importance of a nuanced approach to research on migration and health.

Pattern of admissions and needs assessment for palliative care services among in-patients in a tertiary health facility in South-Western Nigeria.

BACKGROUND: Palliative care evolution focuses on education and medication accessibility. As little as 12% of palliative care needs are met. Assessment of the domains of Palliative care and patients' and families' experience are essential in life-limiting conditions. The Lagos University Teaching Hospital (LUTH), have the National Cancer Centre without offering palliative care services. AIM: The aim was to examine pattern of admissions and needs assessment for palliative services among patients admitted into LUTH wards. MATERIALS AND METHOD: Responses were entered into a data sheet inputted into Epi info version 7.2. Descriptive characteristics of the participants were presented as frequencies and percentages for age, sex, pattern of disease, domains of Palliative care, Advance care Plan, Preparation for home care, death and Education about the illness and category of medical conditions (palliative and non-palliative conditions). Together for Short Lives (TfSL) tool was used to categorize respondents' conditions into Palliative and Non-palliative conditions. Chi-square test was used to determine association between independent variables (pattern of diagnoses, stage of disease, advanced care plan, preparation for home care/ death and education on illness) and dependent variables (category of medical condition). Chi-square test was also used to explore the association between specialty of the managing doctor (independent variable) and Advance care plan (dependent variable). The level of statistical significance was P-value < 0.05. RESULTS: 80.6% of the respondents had palliative care conditions, 83.7% had family members as their caregiver while 13.2% of the participants had no caregiver and 65.9% had no advance care plan. There was no preparation for home care or death in 72.1%, 70.5% had education about their illness, and 68.2% were in the advanced stage of their disease. Participants attending the surgery non-trauma unit (51.6%) were more likely to have advance care plans. Adults were more likely to have palliative care conditions (79.8%) compared to children (20.2%), and was statistically significant. CONCLUSION: Majority of the participants need palliative care services but are unavailable and unmet and the most predominant condition was cancer. Majority had no advance care plan or preparation for home care or death despite having advanced stage of the disease. This survey emphasized the need for symptom management, communication and provision of support.

Investigation of non-communicable diseases prevalence, patterns, and patient outcomes in hospitalized populations: a prospective observational study in three tertiary hospitals.

BACKGROUND: Non-communicable diseases (NCDs) pose a significant global health challenge, constituting over 80% of mortality and morbidity. This burden is particularly pronounced in low- and middle-income countries (LMICs), including Ethiopia. Despite this, there's limited research on this issue in Africa. This study aims to investigate the prevalence, patterns, and outcomes of NCDs in hospitalized populations across three tertiary hospitals in Ethiopia. METHODS: A hospital-based cohort study (August 2022 - January 2023) included patients aged 14 and older diagnosed with cardiovascular diseases (CVDs), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), asthma, or cancer at three Ethiopian hospitals. Data on demographics, socio-economic factors, clinical characteristics, and outcomes were collected through medical records and interviews. Logistic regression identified factors independently associated with in-hospital mortality, with p ≤ 0.05 considered statistically significant. RESULTS: In the study across three tertiary hospitals involving 2,237 patients, we uncovered the impact of NCDs. About 23.4% of patients struggled with NCDs, with cardiovascular diseases (53.3%), cancer (29.6%), diabetes (6.1%), and respiratory diseases (6.5%) being the most prevalent. Notably, among those affected, women comprised a slight majority (55.1%), with the average patient age being 47.2 years. Unfortunately, 15.3% of patients with NCDs faced in-hospital mortality. Our analysis revealed predictors of mortality, including cancer diagnosis (adjusted odds ratio [AOR]:1.6, 95% CI: 1.2-1.8, p = 0.01), medication adherence ( AOR: 0.36, 95% CI: 0.21-0.64, p < 0.001), concurrent infections (AOR: 0.36, 95% CI: 0.16-0.86, p < 0.001), chronic kidney diseases (CKD) (AOR: 0.35, 95% CI: 0.14-0.85, p = 0.02), and complications during hospitalization (AOR: 6.36, 95% CI: 3.45-11.71, p < 0.001). CONCLUSION: Our study reveals a substantial prevalence of NCDs among hospitalized patients, affecting approximately one in four individuals, primarily with CVDs and cancer. Alarmingly, a significant proportion of these patients did not survive their hospitalization, emphasizing the urgent need for targeted interventions to enhance outcomes in this population.