Ethnicity and outcomes for patients with gastrointestinal disorders attending an emergency department serving a multi-ethnic population.

BACKGROUND: Ethnic inequalities in acute health acute care are not well researched. We examined how attendee ethnicity influenced outcomes of emergency care in unselected patients presenting with a gastrointestinal (GI) disorder. METHODS: A descriptive, retrospective cohort analysis of anonymised patient level data for University Hospitals of Leicester emergency department attendees, from 1 January 2018 to 31 December 2021, receiving a diagnosis of a GI disorder was performed. The primary exposure of interest was self-reported ethnicity, and the two outcomes studied were admission to hospital and whether patients underwent clinical investigations. Confounding variables including sex and age, deprivation index and illness acuity were adjusted for in the analysis. Chi-squared and Kruskal-Wallis tests were used to examine ethnic differences across outcome measures and covariates. Multivariable logistic regression was used to examine associations between ethnicity and outcome measures. RESULTS: Of 34,337 individuals, median age 43 years, identified as attending the ED with a GI disorder, 68.6% were White. Minority ethnic patients were significantly younger than White patients. Multiple emergency department attendance rates were similar for all ethnicities (overall 18.3%). White patients had the highest median number of investigations (6, IQR 3-7), whereas those from mixed ethnic groups had the lowest (2, IQR 0-6). After adjustment for age, sex, year of attendance, index of multiple deprivation and illness acuity, all ethnic minority groups remained significantly less likely to be investigated for their presenting illness compared to White patients (Asian: aOR 0.80, 95% CI 0.74-0.87; Black: 0.67, 95% CI 0.58-0.79; mixed: 0.71, 95% CI 0.59-0.86; other: 0.79, 95% CI 0.67-0.93; p < 0.0001 for all). Similarly, after adjustment, minority ethnic attendees were also significantly less likely to be admitted to hospital (Asian: aOR 0.63, 95% CI 0.60-0.67; Black: 0.60, 95% CI 0.54-0.68; mixed: 0.60, 95% CI 0.51-0.71; other: 0.61, 95% CI 0.54-0.69; p < 0.0001 for all). CONCLUSIONS: Significant differences in usage patterns and disparities in acute care outcomes for patients of different ethnicities with GI disorders were observed in this study. These differences persisted after adjustment both for confounders and for measures of deprivation and illness acuity and indicate that minority ethnic individuals are less likely to be investigated or admitted to hospital than White patients.

Predictive modeling of perioperative patient deterioration: combining unanticipated ICU admissions and mortality for improved risk prediction.

OBJECTIVE: This paper presents a comprehensive analysis of perioperative patient deterioration by developing predictive models that evaluate unanticipated ICU admissions and in-hospital mortality both as distinct and combined outcomes. MATERIALS AND METHODS: With less than 1% of cases resulting in at least one of these outcomes, we investigated 98 features to identify their role in predicting patient deterioration, using univariate analyses. Additionally, multivariate analyses were performed by employing logistic regression (LR) with LASSO regularization. We also assessed classification models, including non-linear classifiers like Support Vector Machines, Random Forest, and XGBoost. RESULTS: During evaluation, careful attention was paid to the data imbalance therefore multiple evaluation metrics were used, which are less sensitive to imbalance. These metrics included the area under the receiver operating characteristics, precision-recall and kappa curves, and the precision, sensitivity, kappa, and F1-score. Combining unanticipated ICU admissions and mortality into a single outcome improved predictive performance overall. However, this led to reduced accuracy in predicting individual forms of deterioration, with LR showing the best performance for the combined prediction. DISCUSSION: The study underscores the significance of specific perioperative features in predicting patient deterioration, especially revealed by univariate analysis. Importantly, interpretable models like logistic regression outperformed complex classifiers, suggesting their practicality. Especially, when combined in an ensemble model for predicting multiple forms of deterioration. These findings were mostly limited by the large imbalance in data as post-operative deterioration is a rare occurrence. Future research should therefore focus on capturing more deterioration events and possibly extending validation to multi-center studies. CONCLUSIONS: This work demonstrates the potential for accurate prediction of perioperative patient deterioration, highlighting the importance of several perioperative features and the practicality of interpretable models like logistic regression, and ensemble models for the prediction of several outcome types. In future clinical practice these data-driven prediction models might form the basis for post-operative risk stratification by providing an evidence-based assessment of risk.

The accuracy of predicting hospital admission by emergency medical service and emergency department personnel compared to the prehospital MEWS: a prospective multicenter study.

INTRODUCTION: Overcrowding in the emergency department (ED) is a global problem. Early and accurate recognition of a patient's disposition could limit time spend at the ED and thus improve throughput and quality of care provided. This study aims to compare the accuracy among healthcare providers and the prehospital Modified Early Warning Score (MEWS) in predicting the requirement for hospital admission. METHODS: A prospective, observational, multi-centre study was performed including adult patients brought to the ED by ambulance. Involved Emergency Medical Service (EMS) personnel, ED nurses and physicians were asked to predict the need for hospital admission using a structured questionnaire. Primary endpoint was the comparison between the accuracy of healthcare providers and prehospital MEWS in predicting patients' need for hospital admission. RESULTS: In total 798 patients were included of whom 393 (49.2%) were admitted to the hospital. Sensitivity of predicting hospital admission varied from 80.0 to 91.9%, with physicians predicting hospital admission significantly more accurately than EMS and ED nurses (p < 0.001). Specificity ranged from 56.4 to 67.0%. All healthcare providers outperformed MEWS ≥ 3 score on predicting hospital admission (sensitivity 80.0-91.9% versus 44.0%; all p < 0.001). Predictions for ward admissions specifically were significantly more accurate than MEWS (specificity 94.7-95.9% versus 60.6%, all p < 0.001). CONCLUSIONS: Healthcare providers can accurately predict the need for hospital admission, and all providers outperformed the MEWS score.

Long-term follow-up of kidney transplant recipients admitted to a tertiary care transplant center with SARS-CoV-2.

BACKGROUND: Kidney transplant recipients (KTR) are at risk of severe coronavirus disease 2019 (COVID-19) disease and mortality after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We predicted that hospitalization for COVID-19 and subsequent admission to the intensive care unit (ICU) would yield worse outcomes in KTRs. AIM: To investigate outcomes among KTRs hospitalized at our high-volume transplant center either on the general hospital floor or the ICU. METHODS: We retrospectively describe all adult KTRs who were hospitalized at our center with their first SARS-CoV-2 infection between 04/2020 and 04/2022 and had at least 12 months follow-up (unless they experienced graft failure or death). The cohort was stratified by ICU admission. Outcomes of interest included risk factors for ICU admission and mortality, length of stay (LOS), respiratory symptoms at admission, all-cause graft failure at the last follow-up, and death related to COVID-19. RESULTS: 96 KTRs were hospitalized for SARS-COV-2 infection. 21 (22%) required ICU admission. The ICU group had longer hospital LOS (21.8 vs 8.6 days, P < 0.001) and were more likely to experience graft failure (81% vs 31%, P < 0.001). Of those admitted to the ICU, 76% had death at last-follow up, and 71% had death related to COVID-19. Risk factors for ICU admission included male sex (aHR: 3.11, 95%CI: 1.04-9.34; P = 0.04). Risk factors for all-cause mortality and COVID-19-related mortality included ICU admission and advanced age at SARS-CoV-2 diagnosis. Mortality was highest within a month of COVID-19 diagnosis, with the ICU group having increased risk of all-cause (aHR: 11.2, 95%CI: 5.11-24.5; P < 0.001) and COVID-19-related mortality (aHR: 27.2, 95%CI: 8.69-84.9; P < 0.001). CONCLUSION: ICU admission conferred an increased risk of mortality, graft failure, and longer LOS. One-fifth of those hospitalized died of COVID-19, reflecting the impact of COVID-19-related morbidity and mortality among KTRs.

Adults With Spina Bifida Fare Worse Than Young Adults: A Systemic Vulnerability in Urinary Tract Infection-Related Hospital Care.

PURPOSE: We aim to estimate the odds of UTI-related hospital care in spina bifida (SB) patients aged 18 to 25 years as compared with patients with SB in adolescence (11-17 years) or adulthood (26-35 years). We hypothesize that patients with SB in the typical transitional age, 18 to 25 years, will have higher odds of UTI-related hospital care as compared to adolescent SB patients or adult SB patients. MATERIALS AND METHODS: Using Cerner Real-World Data, we performed a retrospective cohort analysis comparing SB patients to age- and gender-matched controls. SB cases between 2015 and 2021 were identified and compared in 3 cohorts: 11 to 17 years (adolescents), 18 to 25 years (young adults [YA]), and 26 to 35 years (adults). Logistic regression analysis was used to characterize the odds of health care utilization. RESULTS: Of the 5497 patients with SB and 77,466 controls identified, 1839 SB patients (34%) and 3275 controls (4.2%) had at least 1 UTI encounter. UTI-related encounters as a proportion of all encounters significantly increased with age in SB patients (adolescents 8%, YA 12%, adult 15%; P < .0001). Adjusting for race, sex, insurance, and comorbidities, the odds of a UTI-related encounter in YA with SB were significantly higher than for adolescents with SB (adolescent odds ratio = 0.65, 95% CI: 0.57-0.75, P < .001). YA had lower odds of a UTI-related encounter as compared with adults with SB (adult odds ratio = 1.31, 95% CI: 1.16-1.49, P < .001). CONCLUSIONS: YA with SB have higher odds of UTI-related hospital care than adolescents, but lower odds of UTI-related hospital care when compared with adults.

Study protocol for an adaptive, multi-arm, multi-stage (MAMS) randomised controlled trial of brief remotely delivered psychosocial interventions for people with serious mental health problems who have experienced a recent suicidal crisis: Remote Approaches to Psychosocial Intervention Delivery (RAPID).

BACKGROUND: People with serious mental health problems (SMHP) are more likely to be admitted to psychiatric hospital following contact with crisis services. Admissions can have significant personal costs, be traumatic and are the most expensive form of mental health care. There is an urgent need for treatments to reduce suicidal thoughts and behaviours and reduce avoidable psychiatric admissions. METHODS: A multi-stage, multi-arm (MAMS) randomised controlled trial (RCT) with four arms conducted over two stages to determine the clinical and cost effectiveness of three psychosocial treatments, compared to treatment as usual (TAU), for people with SMHP who have had recent suicidal crisis. Primary outcome is any psychiatric hospital admissions over a 6-month period. We will assess the impact on suicidal thoughts and behaviour, hope, recovery, anxiety and depression. The remote treatments delivered over 3 months are structured peer support (PREVAIL); a safety planning approach (SAFETEL) delivered by assistant psychologists; and a CBT-based suicide prevention app accessed via a smartphone (BrighterSide). Recruitment is at five UK sites. Stage 1 includes an internal pilot with a priori progression criteria. In stage 1, the randomisation ratio was 1:1:1:2 in favour of TAU. This has been amended to 2:2:3 in favour of TAU following an unplanned change to remove the BrighterSide arm following the release of efficacy data from an independent RCT. Randomisation is via an independent remote web-based randomisation system using randomly permuted blocks, stratified by site. An interim analysis will be performed using data from the first 385 participants from PREVAIL, SAFETEL and TAU with outcome data at 6 months. If one arm is dropped for lack of benefit in stage 2, the allocation ratio of future participants will be 1:1. The expected total sample size is 1064 participants (1118 inclusive of BrighterSide participants). DISCUSSION: There is a need for evidence-based interventions to reduce psychiatric admissions, via reduction of suicidality. Our focus on remote delivery of established brief psychosocial interventions, utilisation of different modalities of delivery that can provide sustainable and scalable solutions, which are also suitable for a pandemic or national crisis context, will significantly advance treatment options. TRIAL REGISTRATION: ISRCTN33079589. Registered on June 20, 2022.

Effect of admission time of arrival on quality of in-hospital care in acute ischemic stroke patients in China.

OBJECTIVES: The quality of care for patients may be partly determined by the time they are admitted to the hospital. This study was conducted to explore the effect of admission time and describe the pattern and magnitude of weekly variation in the quality of patient care. STUDY DESIGN: A retrospective observational study. METHODS: Data were collected from the Medical Care Quality Management and Control System for Specific (Single) Diseases in China. A total of 238,122 patients treated for acute ischemic stroke between January 2015 and December 2017 were included. The primary outcomes were completion of the ten process indicators and in-hospital death. RESULTS: The quality of in-hospital care varied according to hospital arrival time. We identified several patterns of variation across the days of the week. In the first pattern, the quality of four indicators, such as stroke physicians within 15 min, was lowest for arrivals between 08:00 and 11:59, increased throughout the day, and peaked for arrivals between 20:00 and 23:59 or 00:00 and 03:59. In the second pattern, the quality of four indicators, such as the application of antiplatelet therapy within 48 h, was not significantly different between days and weeks. There was no difference in in-hospital mortality between the different admission times. CONCLUSIONS: The effect of admission time on the quality of in-hospital care of patients with acute ischemic stroke showed several diurnal patterns. Detecting the times when quality is relatively low may lead to quality improvements in health care. Quality improvement should also focus on reducing diurnal temporal variation.

Associated Factors of Patients' Survival in Out of Hospital Cardiac Arrest; a Cross-sectional Study.

Introduction: Chinese populations have an increasingly high prevalence of cardiac arrest. This study aimed to investigate the prehospital associated factors of survival to hospital admission and discharge among out-of-hospital cardiac arrest (OHCA) adult cases in Macao Special Administrative Region (SAR), China. Methods: Baseline characteristics as well as prehospital factors of OHCA patients were collected from publicly accessible medical records and Macao Fire Services Bureau, China. Demographic and other prehospital OHCA characteristics of patients who survived to hospital admission and discharge were analyzed using multivariate logistic regression analysis. Results: A total of 904 cases with a mean age of 74.2±17.3 (range: 18-106) years were included (78%>65 years, 62% male). Initial shockable cardiac rhythm was the strongest predictor for survival to both hospital admission (OR=3.57, 95% CI: 2.26-5.63; p<0.001) and discharge (OR=12.40, 95% CI: 5.70-26.96; p<0.001). Being male (OR=1.63, 95% CI:1.08-2.46; p =0.021) and the lower emergency medical service (EMS) response time (OR=1.62, 95% CI: 1.12-2.34; p =0.010) were also associated with a 2-fold association with survival to hospital admission. In addition, access to prehospital defibrillation (OR=4.25, 95% CI: 1.78-10.12; p <0.001) had a 4-fold association with survival to hospital discharge. None of these associations substantively increased with age. Conclusion: The major OHCA predictors of survival were initial shockable cardiac rhythm, being male, lower EMS response time, and access to prehospital defibrillation. These findings indicate a need for increased public awareness and more education.

High flow, low results: The limits of high flow nasal cannula in the treatment of bronchiolitis.

Bronchiolitis continues to be the most common cause of hospitalization in the first year of life. We continue to search for the remedy that will improve symptoms, shorten hospitalization and prevent worsening of disease. Although initially thought to be a promising therapy, large randomized controlled trials show us that high flow nasal cannula (HFNC) use is not that remedy. These trials show no major differences in duration of hospital stay, intensive care unit (ICU) admission rates, duration of stay in the ICU, duration of oxygen therapy, intubation rates, heart rate, respiratory rate or comfort scores. Additionally, practices regarding initiation, flow rates and weaning continue to vary from institution to institution and there are currently no agreed upon indications for its use. This reveals the need for evidence based guidelines on HFNC use in bronchiolitis.

Development and Validation of Machine Learning-Based Models for Prediction of Intensive Care Unit Admission and In-Hospital Mortality in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

Background: This present work focused on predicting prognostic outcome of inpatients developing acute exacerbation of chronic obstructive pulmonary disease (AECOPD), and enhancing patient monitoring and treatment by using objective clinical indicators. Methods: The present retrospective study enrolled 322 AECOPD patients. Registry data downloaded based on COPD Pay-for-Performance Program database from January 2012 to December 2018 were used to check whether the enrolled patients were eligible. Our primary and secondary outcomes were ICU admission and in-hospital mortality, respectively. The best feature subset was chosen by recursive feature elimination. Moreover, seven machine learning (ML) models were trained for forecasting ICU admission among AECOPD patients, and the model with the most excellent performance was used. Results: According to our findings, random forest (RF) model showed superb discrimination performance, and the values of area under curve (AUC) were 0.973 and 0.828 in training and test cohorts, separately. Additionally, according to decision curve analysis, the net benefit of RF model was higher when differentiating patients with a high risk of ICU admission at a <0.55 threshold probability. Moreover, the ML-based prediction model was also constructed to predict in-hospital mortality, and it showed excellent calibration and discrimination capacities. Conclusion: The ML model was highly accurate in assessing the ICU admission and in-hospital mortality risk for AECOPD cases. Maintenance of model interpretability helped effectively provide accurate and lucid risk prediction of different individuals.

Evaluating the Impact of Emergency Department Length of Stay in a Military Training Hospital Following the Implementation of a Standardized Paging System.

Emergency department (ED) lengths of stay (LOS) may be unnecessarily extended by inefficient consulting processes. Delays in initiating consultations, returning calls, consultant evaluation of patients, and communication of recommendations can contribute to potentially avoidable increases in LOS. Prolonged ED LOS has been shown to increase patient morbidity and mortality and to decrease patient satisfaction. We created a standardized procedure for ED-initiated consultations, with the goal of reducing the time to initial consultant callback, time to admission, and total ED LOS. Following our intervention, time to consultant callback was decreased; however, there was no reduction in total ED LOS for admitted patients.

Intravenous Iron in Patients Hospitalized with Bacterial Infections: Utilization and Outcomes.

Introduction: Given the uncertainties related to IV iron therapy and the potential risk of infection, health care providers may hesitate to use this preparation to treat hospitalized patients with bacterial infections, even if clinically indicated. The aim of this study was to examine patterns of prescribing IV iron in patients who were hospitalized and treated for a bacterial infection, and their associated clinical outcomes. Methods: This retrospective chart review evaluated adult patients who received both IV iron sucrose and antibiotics during the same admission at Maine Medical Center in 2019. Data collected included iron studies, practices for prescribing IV iron, and clinical outcomes. Data were summarized using descriptive statistics. Results: A total of 197 patients were evaluated. The median duration of antibiotic therapy was 5(4-9) days. Iron and antibiotic administration overlapped in 153(77.7%) patients, with a mean overlap of 2.7(1-7) days. In the 44 patients without overlap, 20(46%) received IV iron before antibiotics. More than half (57%) of infection types involved urinary tract and respiratory systems. Approximately 2% of patients had antibiotic therapy broadened or duration extended, 7% died, and 16% were readmitted within 30 days of discharge. Discussion: Prior studies evaluating the risk of infection with IV iron published conflicting results. This is the only study that analyzed outcomes in patients receiving IV iron and antibiotics for infection but not undergoing hemodialysis during a hospital admission. Although our findings support that IV iron treatment is safe among patients with concomitant infection and iron deficiency, this finding may not be the case for all clinical subgroups. Conclusions: This study showed that when patients were administered IV iron in the setting of acute bacterial infection in our facility, most patients did not have negative outcomes.

The Effect of the COVID-19 Pandemic on Odontogenic Cervicofacial Infections in a Single Center in Greece.

INTRODUCTION: Odontogenic cervicofacial infections are still an ongoing problem, requiring immediate hospital admittance and management. The aim of this study is to reflect the number of patients with cervicofacial infections who were admitted during the coronavirus disease 2019 (COVID-19) pandemic period in a single, point of reference center in Northern Greece as well as analyze the quantitative and qualitative parameters of patient characteristics and management data. METHODS: This was a retrospective cohort study that included all the patients with cervicofacial infections who were admitted to our unit during the COVID-19 pandemic, specifically between 2020 and 2021. For comparative reasons, patients admitted with cervicofacial infections between 2019 and 2020 (pre-COVID period) were analyzed. RESULTS: In total, 341 patients fulfilled the criteria for this study. Specifically, the number of admitted patients was 151 in the pre-COVID era instead of 190 patients in the pandemic. The mean age of the patients was 45.3 years, with a slight male predominance (54.7% males to 45.3%). The mean duration of hospitalization was 2.5 days in the pre-COVID period instead of 3.42 days in the pandemic. Interestingly, in the pandemic, eight times more patients were admitted to the ICU post-operatively, in contrast to the pre-COVID period (23 vs 3 patients). Also in the COVID period, almost 54.9% of the patients presented with fever and 49.6% with trismus. Moreover, the submandibular space involvement was the most common space of infection in both COVID and pre-COVID groups with (58.9% and 49.7%) respectively. In one-third of all cases, a post-extraction infection of a third molar was the main cause of abscess. CONCLUSION: Cervicofacial infections during the COVID-19 pandemic appeared with more severe symptoms and resulted in an increased number of patients who needed admittance to the intensive care unit, in contrast to the pre-COVID era. Also, the mean length of stay was increased for a day at the same period. This study could be used as an example for further research, in case of similar pandemic situations in the future.

Impact of Pre-Admission Grade Point Averages on Anesthesiologist Assistant Student Performance at Emory University School of Medicine.

Purpose: The Anesthesiologist Assistant career is gaining significant popularity in the health professions in the United States. Given that this medical occupation is relatively young, there is limited information regarding student success in this demanding graduate-level program. Assessing if pre-admission metrics influence how students perform during the curriculum is essential to recruiting the appropriate candidates. Grade point averages have been shown to correlate with student success in medical education programs for both medical students and physician assistant students, but there is currently no information regarding anesthesiologist assistant students. Methods: Pre-matriculation science and cumulative grade point averages were accessed in a deidentified manner for Emory University Anesthesiologist Assistant Students, and 2-tailed Pearson coefficients were calculated to see if there was a correlation with performance during the science/didactic curriculum of our program and with the clinical curriculum of the program. Results: The 2-tailed Pearson coefficients showed a moderately strong positive correlation between pre-admission science and cumulative grade point averages and performance during the science curriculum of the Emory program (r=0.522). Data also suggested a moderate correlation with grade point averages at graduation from our program (r=0.484). Similar results were found with cumulative grade point averages as well. Conclusion: Given the limited information, we have regarding pre-admission metrics and performance in an Anesthesiologist Assistant program, our study shows that pre-admission science scores and grades in general in undergraduate studies does in fact mimic the information found from studies of other health profession students. Further studies are needed to elucidate how to choose the most appropriate candidates for admission to anesthesiologist assistant programs.

The geriatric trauma hospitalist service: An analysis of a management strategy for injured older adults.

BACKGROUND: Management of geriatric trauma patients requires balancing chronic comorbidities with acute injuries. We developed a care model in which patients are managed by hospitalists with trauma-centered education and hypothesized that clinical outcomes would be similar to outcomes in patients primarily managed by trauma surgeons. METHODS: This was a retrospective study of trauma patients aged ≥65 from January 2020 to December 2021. Groups were defined by admitting service: trauma surgery service (TSS) or geriatric trauma hospitalist service (GTHS). The primary outcome was in-hospital mortality. Regression analyses and inverse probability treatment weighted (IPTW) propensity score (PS) analyses were performed to determine the association between admitting service and outcomes. RESULTS: A total of 1004 patients were eligible for inclusion-580 GTHS and 424 TSS admissions. GTHS patients were older (82 vs. 74, p < 0.001), more likely to have suffered blunt trauma (99.5% vs. 95%, p < 0.001), more likely to have comorbidities (91.2% vs. 87%, p < 0.001), had higher Charlson Comorbidity Indexes (CCIs), and had lower median injury severity scores (9 vs. 13, p < 0.001). Rates of mortality, delirium, 30-day readmission, and overall complications were low and similar between groups. While TSS patients were likely to be discharged home, GTHS had more discharges to skilled nursing facilities and longer length of stay (LOS). On multivariable analysis adjusted for age, ISS, CCI, and sex, patients admitted to GTHS had lower odds of death with an odds ratio of 0.15 (95% confidence interval [CI] 0.02-0.75, p = 0.03) when compared to TSS. On IPTW PS analysis, patients admitted to GTHS had similar odds of death with an odds ratio of 0.3 (95% CI 0.06-1.6, p = 0.16). CONCLUSIONS: Protocolized admission criteria to a GTHS resulted in similar low mortality rates but longer LOS when compared to patients admitted to a TSS. This care model may inform other trauma centers in developing their strategies for managing the increasing volume of vulnerable injured older adults.

Hospital admissions and community health service contacts for mental illness following self-reported child maltreatment: Results from the Childhood Adversity and Lifetime Morbidity (CALM) study.

BACKGROUND: Child maltreatment (CM) includes neglect, and several types of abuse, including physical, emotional, and sexual. CM has been associated with a wide range of mental illnesses. Literature examining these illnesses in mid-life is scarce, and the impact of these illnesses on mental health service use is currently unknown. OBJECTIVE: To examine associations between self-reported CM and subsequent hospital admissions for mental illnesses, and/or community mental health service contacts. SETTING: Birth cohort study data linked to administrative health data, including hospital admissions and community mental health service contacts, up to the age of 40. METHODS: Associations between hospital admissions for mental health and community mental health contacts and CM subtypes (neglect, physical abuse, emotional abuse and sexual abuse) were examined using multivariate logistic regression. RESULTS: Adjusted analyses showed that all subtypes of CM were significantly (p < 0.05) associated with admissions to hospital for any type of mental illness (aOR range 1.87-3.61), non-psychotic mental disorders (aOR range 1.98-3.61), alcohol and/or substance use (aOR range 2.83-5.43), and community mental health service contacts (aOR range 2.44-3.13). Hospital admissions for psychotic mental disorders were significantly associated with physical abuse, emotional abuse, and sexual abuse (aOR range 2.14-3.93). CONCLUSIONS: The results of this study confirm the current knowledge around CM and subsequent mental health illnesses up to the age of 40, and extend this knowledge to hospital and mental health service use.

Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study.

Objectives: Diquat poisoning is an important public health and social security agency. This study aimed to develop a prognostic model and evaluate the prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning, focusing on how its impact changes over time after poisoning. Methods: This was a retrospective cohort study using electronic healthcare reports from the Second Hospital of Hebei Medical University. The study sample included 80 patients with acute oral Diquat poisoning who were admitted to the hospital between January 2019 and May 2022. Time-to-event analyses were performed to assess the risk of all-cause mortality (30 days and 90 days), controlling for demographics, comorbidities, vital signs, and other laboratory measurements. The prognostic value of plasma DQ concentration on admission was assessed by computing the area under a time-dependent receiver operating characteristic curve (ROC). Results: Among the 80 patients, 29 (36.25%) patients died, and 51 (63.75%) patients survived in the hospital. Non-survivors had a median survival time (IQR) of 1.3(1.0) days and the longest survival time of 4.5 days after DQ poisoning. Compared with non-survivors, survivors had significantly lower amounts of ingestion, plasma DQ concentration on admission, lungs injury within 24 h after admission, liver injury within 24 h after admission, kidney injury within 24 h after admission, and CNS injury within 36 h after admission, higher APACHE II score and PSS within 24 h after admission (all p < 0.05). Plasma Diquat concentration at admission (HR = Exp (0.032-0.059 × ln (t))) and PSS within 24 h after admission (HR: 4.470, 95%CI: 1.604 ~ 12.452, p = 0.004) were independent prognostic factors in the time-dependent Cox regression model. Conclusion: Plasma DQ concentration at admission and PSS within 24 h after admission are independent prognostic factors for the in-hospital case fatality rate in patients with acute oral DQ poisoning. The prognostic value of plasma DQ concentration decreased with time.

Routes to Diagnosis in Danish Lung Cancer Patients: Emergency Presentation, Age and Smoking History-A Population-Based Cohort Study.

BACKGROUND: The fast-track cancer pathway aims to expedite diagnosis of lung cancer and treatment and is the preferred route to diagnosis. Diagnosis following an unplanned admission (unplanned route) has been associated with poor outcomes. OBJECTIVE: This study explores factors associated with lung cancer diagnosis following unplanned admissions, focusing on the elderly population. METHODS: A retrospective cohort study using population-based data from Danish registries. Factors such as age, comorbidity, performance status, smoking history, socioeconomic parameters and treatment modality were analyzed in relation to route to diagnosis and prognosis. RESULTS: Among 17,835 patients, 16% were elderly (≥ 80 years). The unplanned route constituted 28% of diagnostic routes, with higher proportion among the elderly (33%). Poor performance status and advanced disease stage were associated with the unplanned route. Married patients were less likely to undergo an unplanned route to diagnosis. Smoking did not significantly influence diagnostic route. The adjusted odds ratio for curative treatment and dying 12 months after diagnosis, following unplanned route to diagnosis were 0.68 (95% CI, 0.61-0.76) and 1.48 (95% CI, 1.36-1.61), respectively. CONCLUSION: Frailty (poor performance status and high burden of comorbidity) in addition to unfavorable socioeconomic factors, which all were more prevalent among elderly patients, were associated with undergoing an unplanned route to diagnosis. However, age itself was not. Diagnosis following unplanned admission correlated with reduced likelihood of curative treatment and poorer prognosis. Expanding screening initiatives to include frail elderly individuals living alone, along with alertness by primary care clinicians, is warranted to improve outcomes for these patients.

Effects of dyadic care interventions for heart failure on patients' and caregivers' outcomes: A systematic review, meta-analysis and meta-regression.

BACKGROUND: The contemporary model for managing heart failure has been extended to a patient-family caregiver dyadic context. However, the key characteristics of the model that can optimise health outcomes for both patients and caregivers remain to be investigated. OBJECTIVES: This study aimed to identify the effects of dyadic care interventions on the behavioural, health, and health-service utilisation outcomes of patients with heart failure and their family caregivers and to explore how the intervention design characteristics influence these outcomes. DESIGN: This study involved systematic review, meta-analysis, and meta-regression techniques. METHODS: We performed a systematic review and meta-analysis, using 12 databases to identify randomised controlled trials or quasi-experimental studies published in English or Chinese between database inception and 31 December 2022. The considered interventions included those targeting patients with heart failure and their family caregivers to enhance disease management. Data synthesis was performed on various patient- and caregiver-related outcomes. The identified interventions were categorised according to their design characteristics for subgroup analysis. Meta-regression was performed to explore the relationship between care delivery methods and their effectiveness. RESULTS: We identified 48 studies representing 9171 patient-caregiver dyads. Meta-analyses suggested the positive effects of dyadic care interventions on patients' health outcomes [Hedges' g (95 % confidence interval {CI}): heart failure knowledge = 1.0 (0.26, 1.75), p = 0.008; self-care confidence = 0.45 (0.08, 0.83), p = 0.02; self-care maintenance = 1.12 (0.55, 1.70), p < 0.001; self-care management = 1.01 (0.54, 1.49), p < 0.001; anxiety = -0.18 (-0.34, -0.02), p = 0.03; health-related quality of life = 0.30 (0.08, 0.51), p < 0.001; hospital admission (risk ratio {95 % CI}: hospital admission = 0.79 (0.65, 0.97), p = 0.007; and mortality = 0.58 (0.36, 0.93), p = 0.02)]. Dyadic care interventions also improved the caregivers' outcomes [Hedges' g (95 % CI): social support = 0.67 (0.01, 1.32), p = 0.05; perceived burden = -1.43 (-2.27, -0.59), p < 0.001]. Although the design of the identified care interventions was heterogeneous, the core care components included enabling and motivational strategies to improve self-care, measures to promote collaborative coping within the care dyads, and nurse-caregiver collaborative practice. Incorporating the first two core components appeared to enhance the behavioural and health outcomes of the patients, and the addition of the last component reduced readmission. Interventions that engaged both patients and caregivers in care provision, offered access to nurses, and optimised continuity of care led to better patient outcomes. CONCLUSIONS: These findings demonstrate that dyadic care interventions can effectively improve disease management in a family context, resulting in better health outcomes for both patients and caregivers. Additionally, this study provides important insights into the more-effective design characteristics of these interventions. REGISTRATION NUMBER: The review protocol was registered in the PROSPERO International Prospective Register of Systematic Reviews (CRD42022322492).