Asociación entre Glucemia inestable, tiempo de estancia y mortalidad de pacientes en estado críticos: Estudio de cohorte / Associação Entre Glicemia Instável, Tempo de Permanência e Mortalidade de Pacientes Críticos: Estudo de Coorte / Relationships between unstable Glycemia, Hospital Length Of Stay, and mortality In Critically Ill patients: A cohort study

Resumen Introducción: El control y la evaluación de los niveles glucémicos de pacientes en estado críticos es un desafío y una competencia del equipo de enfermería. Por lo que, determinar las consecuencias de esta durante la hospitalización es clave para evidenciar la importancia del oportuno manejo. Objetivo: Determinar la asociación entre la glucemia inestable (hiperglucemia e hipoglucemia), el resultado de la hospitalización y la duración de la estancia de los pacientes en una unidad de cuidados intensivos. Metodología: Estudio de cohorte prospectivo realizado con 62 pacientes a conveniencia en estado crítico entre marzo y julio de 2017. Se recogieron muestras diarias de sangre para medir la glucemia. Se evaluó la asociación de la glucemia inestable con la duración de la estancia y el resultado de la hospitalización mediante ji al cuadrado de Pearson. El valor de p<0.05 fue considerado significativo. Resultados: De las 62 personas participantes, 50 % eran hombres y 50 % mujeres. La edad media fue de 63.3 años (±21.4 años). La incidencia de glucemia inestable fue del 45.2 % y se asoció con una mayor duración de la estancia en la UCI (p<0.001) y una progresión a la muerte como resultado de la hospitalización (p=0.03). Conclusión: Entre quienes participaron, la glucemia inestable se asoció con una mayor duración de la estancia más prolongada y con progresión hacia la muerte, lo que refuerza la importancia de la actuación de enfermería para prevenir su aparición.

Resumo Introdução: O controle e avaliação dos níveis glicêmicos em pacientes críticos é um desafio e uma competência da equipe de enfermagem. Portanto, determinar as consequências da glicemia instável durante a hospitalização é chave para evidenciar a importância da gestão oportuna. Objetivo: Determinar a associação entre glicemia instável (hiperglicemia e hipoglicemia), os desfechos hospitalares e o tempo de permanência dos pacientes em uma unidade de terapia intensiva. Métodos: Um estudo de coorte prospectivo realizado com 62 pacientes a conveniência em estado crítico entre março e julho de 2017. Foram coletadas amostras diariamente de sangue para medir a glicemia. A associação entre a glicemia instável com o tempo de permanência e o desfecho da hospitalização foi avaliada pelo teste qui-quadrado de Pearson. O valor de p <0,05 foi considerado significativo. Resultados: Das 62 pessoas participantes, 50% eram homens e 50% mulheres. A idade média foi de 63,3 anos (±21,4 anos). A incidência de glicemia instável foi de 45,2% e se associou a um tempo de permanência mais prolongado na UTI (p <0,001) e uma progressão para óbito como desfecho da hospitalização (p = 0,03). Conclusão: Entre os participantes, a glicemia instável se associou a um tempo mais longo de permanência e com progressão para óbito, enfatizando a importância da actuação da equipe de enfermagem para prevenir sua ocorrência.

Abstract Introduction: The control and evaluation of glycemic levels in critically ill patients is a challenge and a responsibility of the nursing team; therefore, determining the consequences of this during hospitalization is key to demonstrate the importance of timely management. Objective: To determine the relationship between unstable glycemia (hyperglycemia and hypoglycemia), hospital length of stay, and the hospitalization outcome of patients in an Intensive Care Unit (ICU). Methods: A prospective cohort study conducted with 62 critically ill patients by convenience sampling between March and July 2017. Daily blood samples were collected to measure glycemia. The correlation of unstable glycemia with the hospital length of stay and the hospitalization outcome was assessed using Pearson's chi-square. A p-value <0.05 was considered significant. Results: Among the 62 patients, 50% were male and 50% were female. The mean age was 63.3 years (±21.4 years). The incidence of unstable glycemia was 45.2% and was associated with a longer ICU stay (p<0.001) and a progression to death as a hospitalization outcome (p=0.03). Conclusion: Among critically ill patients, unstable glycemia was associated with an extended hospital length of stay and a progression to death, emphasizing the importance of nursing intervention to prevent its occurrence.

Mortality and its predictors in abdominal injury across sub-Saharan Africa: systematic review and meta-analysis.

BACKGROUND: Abdominal injuries exert a significant impact on global morbidity and mortality. The aggregation of mortality data and its determinants across different regions holds immense importance for designing informed healthcare strategies. Hence, this study assessed the pooled mortality rate and its predictors across sub-Saharan Africa. METHOD: This meta-analysis employed a comprehensive search across multiple electronic databases including PubMed, Africa Index Medicus, Science Direct, and Hinari, complemented by a search of Google Scholar. Subsequently, data were extracted into an Excel format. The compiled dataset was then exported to STATA 17 statistical software for analysis. Utilizing the Dersimonian-Laird method, a random-effect model was employed to estimate the pooled mortality rate and its associated predictors. Heterogeneity was evaluated via the I2 test, while publication bias was assessed using a funnel plot along with Egger's, and Begg's tests. RESULT: This meta-analysis, which includes 33 full-text studies, revealed a pooled mortality rate of 9.67% (95% CI; 7.81, 11.52) in patients with abdominal injuries across sub-Saharan Africa with substantial heterogeneity (I2 = 87.21%). This review also identified significant predictors of mortality. As a result, the presence of shock upon presentation demonstrated 6.19 times (95% CI; 3.70-10.38) higher odds of mortality, followed by ICU admission (AOR: 5.20, 95% CI; 2.38-11.38), blunt abdominal injury (AOR: 8.18, 95% CI; 4.97-13.45), post-operative complications (AOR: 8.17, 95% CI; 4.97-13.44), and the performance of damage control surgery (AOR: 4.62, 95% CI; 1.85-11.52). CONCLUSION: Abdominal injury mortality is notably high in sub-Saharan Africa. Shock at presentation, ICU admission, blunt abdominal injury, postoperative complications, and use of damage control surgery predict mortality. Tailored strategies to address these predictors could significantly reduce deaths in the region.

Systematic review on efficacy and safety of empirical versus pre-emptive antifungal therapy among children with febrile neutropenia reveals paucity of data.

BACKGROUND: Two approaches are used to manage invasive fungal disease (IFD) in febrile neutropenic patients viz. empirical therapy (without attempting to confirm the diagnosis), or pre-emptive therapy (after screening tests for IFD). OBJECTIVE: This systematic review was undertaken to compare these approaches in children. METHODS: We searched PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, CINAHL, Clinical Trial Registries and grey literature, for randomized controlled trials (RCT) comparing empirical versus pre-emptive antifungal therapy in children with FN suspected to have IFD. We used the Cochrane Risk of bias 2 tool for quality assessment, and evaluated the certainty of evidence using the GRADE approach. RESULTS: We identified 7989 citations. Stepwise screening identified only one relevant RCT that administered empirical (n = 73) or pre-emptive (n = 76) antifungal therapy. There were no significant differences in all-cause mortality (RR 1.56, 95% CI: 0.46, 5.31), IFD mortality (RR 1.04, 95% CI:0.15, 7.20) and other clinically important outcomes such as duration of fever, duration of hospitalization and proportion requiring ICU admission. There were no safety data reported. The number of days of antifungal therapy was significantly lower in the pre-emptive therapy arm. The certainty of evidence for all outcomes was 'moderate'. CONCLUSIONS: This systematic review highlighted the paucity of data, comparing empirical versus pre-emptive antifungal therapy in children with febrile neutropenia having suspected invasive fungal disease. Data from a single included trial suggests that both approaches may be comparable in research settings. Robust trials are warranted to address the gap in existing knowledge about the optimal approach in clinical practice.

The variation in preventable hospitalization in patients with type 2 diabetes in Kentucky before and after the Medicaid expansion.

BACKGROUND: Hospitalizations are more resource intensive and expensive than outpatient care. Therefore, type 2 diabetes-related preventable hospitalization are a major topic of research efficiency in the healthcare system. OBJECTIVES: Analyze county level variation in type 2 diabetes-related preventable hospitalization rates in Kentucky before the Medicaid expansion (2010-2013) and after the Medicaid expansion (2014-2017). DESIGN: Geographic mapping and cluster analysis. SETTING: Data for a state of the United States of America. METHODS: We used the KID data to generate geographic mapping for type 2 diabetes-related preventable hospitalizations to visualize rates. We included all Kentucky discharges of age 18 years and older with the ICD9/10 principal diagnosis code for type 2 diabetes. Then, we conducted cluster analysis techniques to compare county-level variation in type 2 diabetes-related preventable hospitalization rates across Kentucky counties pre- and post-Medicaid expansion. MAIN OUTCOME AND MEASURES: County type 2 diabetes-related preventable hospitalization pre- and post-Medicaid expansion. RESULTS: From 2010-2017, type 2 diabetes-related preventable hospitalization discharge rates reduced significantly in the period of the post-Medicaid expansion (P=.001). The spatial statistics analysis revealed a significant spatial clustering of counties with similar rates of type 2 diabetes-related preventable hospitalization in the south, east, and southeastern Kentucky pre- and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). Also, there was a significant clustering of counties with low type 2 diabetes-related preventable hospitalization rates in the north, west, and central regions of the state pre-Medicaid expansion and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). CONCLUSION: Kentucky counties in the southeast have experienced a significant clustering of highly avoidable hospitalization rates during both periods. Focusing on the vulnerable counties and the economic inequality in Kentucky could lead to efforts to lowering future type 2 diabetes-related preventable hospitalization rates. LIMITATIONS: We used de-identified data which does not provide insights into the frequency of hospitalizations per patient. An individual patient may be hospitalized several times and counted as several individuals.

Co-Occurrence of Sarcopenia and Frailty in Acutely Admitted Older Medical Patients: Results from the Copenhagen PROTECT Study.

BACKGROUND: Sarcopenia and frailty are often used interchangeably in clinical practice yet represent two distinct conditions and require different therapeutic approaches. The literature regarding the co-occurrence of both conditions in older patients is scarce as most studies have investigated the prevalence of sarcopenia and frailty separately. OBJECTIVES: We aim to evaluate the prevalence and co-occurrence of sarcopenia and frailty in a large sample of acutely admitted older medical patients. DESIGN: Secondary analyses using cross-sectional data from the Copenhagen PROTECT study. SETTING: Patients were included from the acute medical ward at Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark, between November 2019 and November 2021. PARTICIPANTS: Acutely admitted older medical patients (≥65 years). MEASUREMENTS: Handgrip strength (HGS) was investigated using a handheld dynamometer. Lean mass (SMI) was investigated using direct-segmental multifrequency bioelectrical impedance analyses (DSM-BIA). Low HGS, low SMI, and sarcopenia were defined according to the recent definitions from the European Working Group on Sarcopenia in Older People (EWGSOP2). The Clinical Frailty Scale (CFS) was used to evaluate frailty, with a value > 5 indicating the presence of frailty. Patients were enrolled and tested within 24 hours of admission. RESULTS: This study included 638 patients (mean age: 78.2±7.6, 55% female) with complete records of SMI, HGS, and the CFS. The prevalence of low HGS, low SMI, sarcopenia, and frailty were 39.0%, 33.1%, 19.7%, and 39.0%, respectively. Sarcopenia and frailty co-occurred in 12.1% of the patients. CONCLUSIONS: It is well-known that sarcopenia and frailty represent clinical manifestations of ageing and overlap in terms of the impairment in physical function observed in both conditions. Our results demonstrate that sarcopenia and frailty do not necessarily co-occur within the older acutely admitted patient, highlighting the need for separate assessments of frailty and sarcopenia to ensure the accurate characterization of the health status of older patients.

[THE MULTIDISCIPLINARY GERIATRIC SURGERY UNIT AT THE CHAIM SHEBA MEDICAL CENTER - FIRST YEAR OF ACTIVITY].

INTRODUCTION: Recently, a Geriatric Surgery Unit (GSU) was established in the Sheba Medical Center. The Unit's aims include: professional assessment of surgical candidates, approval of the surgical plan by a multidisciplinary team discussion (MTD), and meeting the specific needs of the geriatric patient undergoing surgery. METHODS: We describe the establishment of the GSU and preliminary results from the first year of its activity (January-December 2022). The GSU team consisted of a geriatric nurse practitioner (NP), a geriatric physician, surgeons, anesthesiologists and a physiotherapist. Inclusion criteria for GSU assessment/treatment were age>80 years or substantial baseline geriatric morbidity. RESULTS: In 2022, 276 patients were treated by the GSU: 110 underwent elective comprehensive preoperative assessment in the NP clinic and the rest were assessed urgently/semi-electively during their hospitalization. One hundred and fifteen cases (median age 86 (65-98) years) were brought to MTD and considered for elective cholecystectomy (46.1%), colorectal procedures (16.5%), hernia repair (13.9%), hepatobiliary procedures (9.6%) or other surgeries (13.9%); of those, 49 patients (median age 86 (72-98) years) eventually proceeded to surgery, following which the median length of hospital stay (LOS) was 3.5 (1-60) days and the rate of postoperative complications was 46.7%. After discharge, the median duration of follow-up was 2.5 (0-18) months during which 4 patients died. Compared with geriatric patients who underwent cholecystectomy during 2021-2023 without MTD (n=39), in the cases discussed by the MTD, patients (n=17) had a shorter LOS (2.0±0.9 vs. 2.4±2.1 days), less 30-day Emergency Department referrals (12.5% vs. 28.2%) and less 30-day re-admissions (6.2% vs. 15.4%; all p≥0.3). CONCLUSIONS: Geriatric surgical patients require a designated professional approach to meet their unique perioperative needs. The effect of GSUs on perioperative outcomes merits further prospective studies.

"Terminal anorexia nervosa" may not be terminal: An empirical evaluation.

Gaudiani et al. (2022) presented terminal anorexia nervosa (T-AN) as a potential new specifier to the anorexia nervosa (AN) diagnosis, with criteria including (a) AN diagnosis, (b) age > 30 years, (c) previously participated in high-quality care, and (d) the clear, consistent determination by a patient with decision-making capacity that additional treatment would be futile, knowing death will result. This study's purpose was to empirically examine a subgroup of participants with AN who met the first three criteria of T-AN-and a smaller subset who also met a proxy index of the fourth criterion involving death (TD-AN)-and compare them to an adult "not terminal" anorexia nervosa (NT-AN) group and to a "not terminal" subset 30 years of age or older (NTO-AN). Patients at U.S. eating disorder treatment facilities (N = 782; T-AN: n = 51, TD-AN: n = 16, NT-AN: n = 731, NTO-AN: n = 133), all of whom met criteria for a current Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnosis of AN, were compared regarding admission, discharge, and changes from admission to discharge on physiological indices (i.e., white blood cell counts, albumin levels, aspartate aminotransferase levels, and body mass index), as well as self-report measures (i.e., eating disorder, depression, anxiety, and obsessive-compulsive symptoms). In contrast to the tight syndromal symptom interconnections of, and inevitable spiral toward death expected for, a terminal diagnosis, results suggest substantial variability within the T-AN group and TD-AN subset, and an overall trend of improvement across physiological and self-report measures. This study thus provides some empirical evidence against the specification of the T-AN diagnosis. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Impact of influenza related hospitalization in Spain: characteristics and risk factor of mortality during five influenza seasons (2016 to 2021).

Background: Estimating the global influenza burden in terms of hospitalization and death is important for optimizing prevention policies. Identifying risk factors for mortality allows for the design of strategies tailored to groups at the highest risk. This study aims to (a) describe the clinical characteristics of hospitalizations with a diagnosis of influenza over five flu seasons (2016-2017 to 2020-2021), (b) assess the associated morbidity (hospitalization rates and ICU admissions rate), mortality and cost of influenza hospitalizations in different age groups and (c) analyze the risk factors for mortality. Methods: This retrospective study included all hospital admissions with a diagnosis of influenza in Spain for five influenza seasons. Data were extracted from the Spanish National Surveillance System for Hospital Data from 1 July 2016 to 30 June 2021. We identified cases coded as having influenza as a primary or secondary diagnosis (International Classification of Diseases, 10th revision, J09-J11). The hospitalization rate was calculated relative to the general population. Independent predictors of mortality were identified using multivariable logistic regression. Results: Over the five seasons, there were 127,160 hospitalizations with a diagnosis of influenza. The mean influenza hospitalization rate varied from 5/100,000 in 2020-2021 (COVID-19 pandemic) to 92.9/100,000 in 2017-2018. The proportion of influenza hospitalizations with ICU admission was 7.4% and was highest in people aged 40-59 years (13.9%). The case fatality rate was 5.8% overall and 9.4% in those aged 80 years or older. Median length of stay was 5 days (and 6 days in the oldest age group). In the multivariable analysis, independent risk factors for mortality were male sex (odds ratio [OR] 1.14, 95% confidence interval [95% CI] 1.08-1.20), age (<5 years: OR 1; 5-19 years: OR 2.02, 95%CI 1.17-3.49; 20-39 years: OR 4.11, 95% CI 2.67-6.32; 40-59 years: OR 8.15, 95% CI 5.60-11.87; 60-79 years: OR 15.10, 95% CI 10.44-21.84; ≥80 years: OR 33.41, 95% CI 23.10-48.34), neurological disorder (OR 1.97, 95% CI 1.83-2.11), heart failure (OR 1.85, 95% CI 1.74-1.96), chronic kidney disease (OR 1.33, 95% CI 1.25-1.41), chronic liver disease (OR 2.95, 95% CI 2.68-3.27), cancer (OR 1.85, 95% CI 1.48-2.24), coinfection with SARS-CoV2 (OR 3.17, 95% CI 2.34-4.28), influenza pneumonia (OR 1.76, 95% CI 1.66-1.86) and admission to intensive care (OR 7.81, 95% CI 7.31-8.36). Conclusion: Influenza entails a major public health burden. People aged over 60-and especially those over 80-show the longest hospital stays. Age is also the most significant risk factor for mortality, along with certain associated comorbidities.

La préhabilitation, un nouveau parcours préopératoire pour améliorer la condition des patients.

The maintenance and optimization of functional capacities before, during, and after treatment are major challenges for frailty persons as cancer's patients. It is now known that physical activity in prehabilitation plays a crucial role in limiting, among other things, post-operative complications. The benefits have already been demonstrated in various studies, including a decrease in hospitalization duration, an increase in cardiorespiratory endurance, improvement in quality of life, and better fatigue management. It is observed that patients who undergo prehabilitation are those who recover their preoperative capacities the fastest. However, it is estimated that only one-third of patients with access to prehabilitation improve their physical capacities.

[Meleis theory: a tool for better understanding city-hospital transitions]. / La théorie de Meleis : un outil pour mieux comprendre les transitions ville-hôpital.

Meleis' theory: a tool for better understanding the hospital/town transitions. The purpose of this article is to provide a critique of the transition theory conceptualized by Afaf Meleis. A clinical vignette is used to highlight the strengths and limitations of the theory in the care of elderly people returning home after hospitalization for heart failure. The discussion is based on Peggy Chinn and Maeona Kramer's method of critical analysis.

Morbidity and Mortality Profile of Neonates Admitted in Neonatal Intensive Care Unit.

BACKGROUND: The neonatal period faces the greatest risk of death as they are vulnerable to sepsis, birth asphyxia, hypoxic injuries etc. A substantial disparity exists in NMR between Nepal and other developed countries and among different provinces of Nepal as well. This study was conducted to describe the pattern of neonatal admission, and immediate hospital outcomes from NICU located in a remote part of Nepal. METHODS: This prospective study was conducted in The Province Hospital, Karnali, Nepal over a period of six months (June 2021 to Dec 2021 AD). The variables used were neonatal age, sex, gestation, birth weight, maternal age, mode and place of delivery. Neonatal morbidities and final outcomes at discharge were recorded in a predesigned proforma. RESULTS: A total of 396 neonates included, the majority were inborn 283(71%), male 241(61%), term 301(76%) and had normal birth weight 279 (70.4%). Neonatal sepsis 188(37.2%), prematurity 95(24%), and birth asphyxia 55(15.2%) were main indications for hospitalization. The majority 337(85%) improved after treatment, while 33(8.3%) died, 12 (3%) left against medical advice and 14(3.5%) cases were referred. Preterm neonates had thrice the risk of mortality than term neonates (OR =3.27). Low birth weight (< 2500 grams) had higher odds of poor outcomes (OR =3.5). Low maternal age (<20 years), prematurity, LBW, mechanical ventilation and inotrope use were predictors of poor outcomes. CONCLUSIONS: Neonatal sepsis, prematurity and perinatal asphyxia were the most common causes of NICU admissions. Mechanical ventilation, inotropes use, extreme prematurity, low birth weight and younger age of the mother were predictors of poor outcome.

Application of Pediatric Risk of Mortality (PRISM) III Score in Predicting Mortality Outcomes.

BACKGROUND: Children admitted in a pediatric intensive care unit have a high risk of mortality. Pediatric risk of mortality III score in first 24 hours of admission has increasingly been used to predict mortality. The objective of this study was to evaluate the validity of Pediatric risk of mortality score in prediction of mortality among the patient admitted in pediatric intensive care unit. METHODS: This prospective observational study was conducted at pediatric intensive care unit of a government pediatric hospital from January to June 2021. Patients between 1 month to 14 years of age and meeting the inclusion criteria were enrolled. Pediatric risk of mortality III score was calculated within 24 hours of admission. Patients were followed up for outcome measure as survivors and non survivors. Chi square test and logistic regression analysis were used to find the association of predictors and the score. RESULTS: The mean Pediatric risk of mortality III score was lower in survivors than in non-survivors (4.67 ± 3.8 versus 14.10 ± 6.07; p<0.001). Those requiring inotropic and ventilator support have significantly higher mortality [49.4 versus 0.6 (p<0.001) and 81.8 versus 1.5 (p<0.001) respectively]. Minimum systolic blood pressure, abnormal pupillary reflex, increased blood urea nitrogen and decreased platelet were the significant (p<0.001) risk factors. The area under the Receiver Operating Characteristic curve was 0.916±0.024 (p<0.001) and goodness-of-fit test showed no significant difference between observed and expected mortalities (p=0.186). CONCLUSIONS: The Pediatric risk of mortality score constitutes a useful prognostic tool in predicting the mortality. KEY WORDS: Mortality; pediatrics; pediatric intensive care unit; risk score.

Pre-COVID-19-pandemic RSV epidemiology and clinical burden in pediatric primary care in Italy: a comparative analysis across two regions for the 2019/2020 season.

BACKGROUND: Respiratory syncytial virus (RSV) infection in children under 5 years have a significant clinical burden, also in primary care settings. This study investigates the epidemiology and burden of RSV in Italian children during the 2019/20 pre-pandemic winter season. METHODS: A prospective cohort study was conducted in two Italian regions. Children with Acute Respiratory Infection (ARI) visiting pediatricians were eligible. Nasopharyngeal swabs were collected and analyzed via multiplex PCR for RSV detection. A follow-up questionnaire after 14 days assessed disease burden, encompassing healthcare utilization and illness duration. Statistical analyses, including regression models, explored associations between variables such as RSV subtype and regional variations. RESULTS: Of 293 children with ARI, 41% (119) tested positive for RSV. Median illness duration for RSV-positive cases was 7 days; 6% required hospitalization (median stay: 7 days). Medication was prescribed to 95% (110/116) of RSV cases, with 31% (34/116) receiving antibiotics. RSV subtype B and regional factors predicted increased healthcare utilization. Children with shortness of breath experienced a 36% longer illness duration. CONCLUSIONS: This study highlights a significant clinical burden and healthcare utilization associated with RSV in pre-pandemic Italian primary care settings. Identified predictors, including RSV subtype and symptomatology, indicate the need for targeted interventions and resource allocation strategies. RSV epidemiology can guide public health strategies for the implementation of preventive measures.

Do hospitalizations push households into poverty in India: evidence from national data.

Introduction: High percentage of OOP (Out-of-Pocket) costs can lead to poverty and exacerbate existing poverty, with 21.9% of India's 1.324 billion people living below the poverty line. Factors such as increased patient cost-sharing, high-deductible health plans, and expensive medications contribute to high OOP costs. Understanding the poverty-inducing impact of healthcare payments is essential for formulating effective measures to alleviate it. Methods: The study used data from the 75th round of the National Sample Survey Organization (Household Social Consumption in India: Health) from July 2017-June 2018, focusing on demographic-socio-economic characteristics, morbidity status, healthcare utilization, and expenditure. The analysis included 66,237 hospitalized individuals in the last 365 days. Logistic regression model was used to examine the impact of OOP expenditures on impoverishment. Results: Logistic regression analysis shows that there is 0.2868 lower odds of experiencing poverty due to OOP expenditures in households where there is the presence of at least one child aged 5 years and less present in the household compared to households who do not have any children. There is 0.601 higher odds of experiencing poverty due to OOP expenditures in urban areas compared to households in rural areas. With an increasing duration of stay in the hospital, there is a higher odds of experiencing poverty due to OOP health expenditures. There is 1.9013 higher odds of experiencing poverty due to OOP expenditures if at least one member in the household used private healthcare facility compared to households who never used private healthcare facilities. Conclusion: In order to transfer demand from private to public hospitals and reduce OOPHE, policymakers should restructure the current inefficient public hospitals. More crucially, there needs to be significant investment in rural areas, where more than 70% of the poorest people reside and who are more vulnerable to OOP expenditures because they lack coping skills.

A novel electronic health record-based, machine-learning model to predict severe hypoglycemia leading to hospitalizations in older adults with diabetes: A territory-wide cohort and modeling study.

BACKGROUND: Older adults with diabetes are at high risk of severe hypoglycemia (SH). Many machine-learning (ML) models predict short-term hypoglycemia are not specific for older adults and show poor precision-recall. We aimed to develop a multidimensional, electronic health record (EHR)-based ML model to predict one-year risk of SH requiring hospitalization in older adults with diabetes. METHODS AND FINDINGS: We adopted a case-control design for a retrospective territory-wide cohort of 1,456,618 records from 364,863 unique older adults (age ≥65 years) with diabetes and at least 1 Hong Kong Hospital Authority attendance from 2013 to 2018. We used 258 predictors including demographics, admissions, diagnoses, medications, and routine laboratory tests in a one-year period to predict SH events requiring hospitalization in the following 12 months. The cohort was randomly split into training, testing, and internal validation sets in a 7:2:1 ratio. Six ML algorithms were evaluated including logistic-regression, random forest, gradient boost machine, deep neural network (DNN), XGBoost, and Rulefit. We tested our model in a temporal validation cohort in the Hong Kong Diabetes Register with predictors defined in 2018 and outcome events defined in 2019. Predictive performance was assessed using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC) statistics, and positive predictive value (PPV). We identified 11,128 SH events requiring hospitalization during the observation periods. The XGBoost model yielded the best performance (AUROC = 0.978 [95% CI 0.972 to 0.984]; AUPRC = 0.670 [95% CI 0.652 to 0.688]; PPV = 0.721 [95% CI 0.703 to 0.739]). This was superior to an 11-variable conventional logistic-regression model comprised of age, sex, history of SH, hypertension, blood glucose, kidney function measurements, and use of oral glucose-lowering drugs (GLDs) (AUROC = 0.906; AUPRC = 0.085; PPV = 0.468). Top impactful predictors included non-use of lipid-regulating drugs, in-patient admission, urgent emergency triage, insulin use, and history of SH. External validation in the HKDR cohort yielded AUROC of 0.856 [95% CI 0.838 to 0.873]. Main limitations of this study included limited transportability of the model and lack of geographically independent validation. CONCLUSIONS: Our novel-ML model demonstrated good discrimination and high precision in predicting one-year risk of SH requiring hospitalization. This may be integrated into EHR decision support systems for preemptive intervention in older adults at highest risk.

Factors affecting hospital admission, hospital length of stay and new discharge destination post proximal humeral fracture: a retrospective audit.

BACKGROUND: Outcomes following proximal humeral fracture (PHF) may be impacted by a range of clinical, fracture and premorbid factors. The aim of this study was to examine factors impacting hospital admission; length of stay (LOS) and new discharge destination for patients presenting to hospital with PHF. METHODS: Retrospective audit conducted at a tertiary health service. Data was collected from adult patients presenting to hospital with a PHF over a 54-month period. Fractures that were pathological or sustained during admission were excluded. Univariable and multivariable logistic and negative binomial regression were used to explore factors associated with hospital admission, LOS and new discharge destination. RESULTS: Data were analyzed from 701 participants (age 70 years (IQR 60, 81); 72.8% female); 276 (39.4%) participants required a hospital admission. New discharge destination was required for 109 (15.5%) participants, of whom 49 (45%) changed from home alone to home with family/friend(s). Greater comorbidities, as indicated by the Charlson Comorbidity Index score, were associated with hospital admission, longer LOS and new discharge destination. Premorbid living situations of home with family/friend(s) or from an external care facility were associated with a decreased likelihood of hospital admission, shorter LOS and reduced risk of a new discharge destination. Surgical treatment was associated with shorter LOS. Older age and dementia diagnosis were associated with a new discharge destination. CONCLUSIONS: Many factors potentially impact on the likelihood or risk of hospitalization, LOS and new discharge destination post PHF. Patients with greater comorbidities are more likely to have negative outcomes, while patients who had premorbid living situations of home with family/friend(s) or from an external care facility are more likely to have positive outcomes. Early identification of factors that may impact patient outcomes may assist timely decision making in hospital settings. Further research should focus on developing tools to predict hospital outcomes in the PHF population.

Impact of pulmonary rehabilitation on patients with different chronic respiratory diseases during hospitalization.

The impact of pulmonary rehabilitation (PR) on patients with different chronic respiratory diseases (CRDs) during hospitalization has not been thoroughly evaluated before. The objectives of the current research were to assess the effect of comprehensive PR management on inpatients' self-management skills, exercise capacity, nutrition assessment and mental health issues and explore whether impacts of PR vary in different CRDs. This retrospective study analyzed the clinical data from 272 inpatients with CRDs receiving PR management during hospitalization between October 2020 and March 2022 in Beijing Chao-Yang Hospital. Significant improvements were found in the patients' ability of daily living (ADL), dyspnea (assessed by modified medical research council dyspnea scale (MMRC)), handgrip strength, maximal inspiratory and expiratory pressure, anxiety (using the 7-item generalized anxiety disorder scale (GAD-7)) and depression (the 9-item patient health questionnaire score (PHQ-9)). There was no significant change in nutrition assessment pre-post PR management during hospitalization. The subgroup analyses were conducted on hospitalized patients with chronic obstructive pulmonary disease (COPD), bronchiectasis, asthma, interstitial lung diseases (ILDs) and other CRDs (e.g., lung cancer, diaphragm hemiparesis, obesity, etc.). The results showed that ADL, MMRC score, MIP, MEP, PHQ-9 score improved in all subgroups with CRDs. Handgrip strength of left hand was increased in COPD inpatients and anxiety was improved in all subgroups except for ILDs. Comprehensive PR management was necessary and beneficial for patients with different CRDs during hospitalization.

Motor cortex stimulation for the treatment of trigeminal neuralgia after brainstem infarction: A case report. / 运动皮层电刺激治疗脑干梗死后三叉神经痛1例.

Secondary trigeminal neuralgia after brainstem infarction is rare and rarely reported. A patient with secondary trigeminal neuralgia after brainstem infarction was admitted to the Department of Neurosurgery, Xiangya Hospital, Central South University. The patient was a 44 years old male who underwent motor cortex stimulation treatment after admission. The effect was satisfactory in the first week after surgery, but the effect was not satisfactory after one week. This disease is relatively rare and the choice of clinical treatment still requires long-term observation.

[Syncopes - differential diagnoses and treatment]. / Synkopen ­ Differenzialdiagnosen und Behandlungsmöglichkeiten.

Syncope is a sudden loss of consciousness (transient loss of consciousness, TLOC) caused by a lack of cerebral perfusion that resolves spontaneously and completely after a short period of time 1. With a lifetime prevalence of 40% and constituting about 1% of all emergency department admissions, syncope is a common and medically relevant problem 2 3. The underlying causes of syncope are diverse and associated with significantly different prognoses. A structured approach is essential to identify high-risk patients and ensure appropriate treatment. This article aims at providing an overview of the current recommendations for the diagnosis and treatment of syncope.

Historical Redlining and Heart Failure Outcomes Following Hospitalization in the Southeastern United States.

BACKGROUND: Historical redlining, a discriminatory lending practice, is an understudied component of the patient risk environment following hospital discharge. We investigated associations between redlining, patient race, and outcomes following heart failure hospitalization. METHODS AND RESULTS: We followed a hospital-based cohort of Black and White patients using electronic medical records for acute heart failure hospitalizations between 2010 and 2018 (n=6800). Patient residential census tracts were geocoded according to the 1930s Home Owners' Loan Corporation map grades (A/B: best/still desirable, C: declining, D: redlined). We used Poisson regression to analyze associations between Home Owners' Loan Corporation grade and 30-day outcomes (readmissions, mortality, and their composite). One-third of patients resided in historically redlined tracts (n=2034). In race-stratified analyses, there was a positive association between historically declining neighborhoods and composite readmissions and mortality for Black patients (risk ratio [RR], 1.24 [95% CI, 1.003-1.54]) and an inverse association between redlined neighborhoods and 30-day readmissions among White patients (RR, 0.58 [95% CI, 0.39-0.86]). Examining racial disparities across Home Owners' Loan Corporation grades, Black patients had higher 30-day readmissions (RR, 1.86 [95% CI, 1.31-2.65]) and composite readmissions and mortality (RR, 1.32 [95% CI, 1.04-1.65]) only in historically redlined neighborhoods. CONCLUSIONS: Historical redlining had potentially mixed impacts on outcomes by race, such that residing in less desirable neighborhoods was associated with an elevated risk of an adverse outcome following heart failure hospitalization in Black patients and a reduced risk in White patients. Moreover, racial disparities in patient outcomes were present only in historically redlined neighborhoods. Additional research is needed to explore observed heterogeneity in outcomes.