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Objectives: Evaluate the prevalence of hospital mortality in older adult patients with femoral fracture undergoing surgical treatment during the COVID-19 pandemic period, and to evaluate whether COVID-19 infection, clinical, and orthopedic factors interfered with mortality. Material and Methods: A retrospective study was conducted by reviewing medical records. Patients over 60 years of age with proximal femoral fracture undergoing surgical treatment were included. Overall mortality was calculated, as well as mortality whose primary or secondary cause was COVID-19 infection, to determine if infection influenced patient mortality. Clinical and orthopedic factors that interfered with mortality were evaluated. Categorical variables were compared using the Chi-square test or Fisher's exact test. Both unpaired t-test (parametric variables) and Mann-Whitney test (non-parametric variables) were used. The Kaplan-Meier mortality curve was constructed. Conclusion: The mortality of older adult patients with femoral fracture undergoing surgical treatment during the COVID-19 pandemic was 4.2%. Male sex, older age, and those who underwent blood transfusion had higher mortality rates. COVID-infected patients had ten times more chance of death and died twice as fast as the non-infected population. Level of Evidence II, Retrospective Study.

Objetivos: Avaliar a mortalidade hospitalar de pacientes idosos com fratura de fêmur submetidos ao tratamento cirúrgico durante o período pandêmico de covid-19. Avaliar se a infecção pelo vírus do covid-19 e os fatores clínicos e ortopédicos interferiram na mortalidade. Material e Métodos: Realizou-se um estudo retrospectivo por levantamento de prontuários. Foram incluídos pacientes acima de 60 anos associados a fratura da extremidade proximal do fêmur e que submetidos a tratamento cirúrgico. Calculou-se a mortalidade geral e também aquela cuja causa principal ou secundária foi a infeção pelo covid-19 para determinar se essa influenciou na mortalidade dos pacientes. Foram avaliados se os fatores clínicos e ortopédicos interferiram na mortalidade e variáveis categóricas foram comparadas pelo teste de Qui-quadrado ou exato de Fisher, utilizando tanto o teste t não pareado (variáveis paramétricas) como o teste de Teste Mann-Whitney (variáveis não paramétricas). Por fim, construiu-se a curva de mortalidade de Kaplan-Meier. Conclusão: A taxa de mortalidade de pacientes idosos com fratura de fêmur submetidos ao tratamento cirúrgico durante a pandemia de Covid foi de 4,2%. Pacientes do sexo masculino, idosos e os que foram submetidos à transfusão sanguínea evoluíram com maior mortalidade. Pacientes infectados pelo Covid tiveram dez vezes mais chance de evoluir para óbito e de forma duas vezes mais rápida que a população não infectada. Nível de Evidência II, Estudo Retrospectivo.

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Introdução: A taxa de mortalidade em pacientes queimados diminuiu significativamente, tornando importante avaliar outros desfechos, como o tempo de internação, que aumenta a morbidade física e psicológica, o risco de infecção hospitalar e os custos financeiros. O objetivo deste estudo é analisar a relevância de vários fatores no tempo de internação na Unidade de Queimados. Método: Foram incluídos neste estudo 711 pacientes admitidos entre 2011 e 2020 na Unidade de Queimados do Hospital de São José, Centro Hospitalar Lisboa Central, Lisboa, Portugal. Os dados coletados foram analisados utilizando o PSPP para Windows. Resultados: Os pacientes eram predominantemente do sexo masculino, com idade média de 54 anos. O tempo médio de permanência hospitalar foi de 29 dias. Os fatores que prolongaram a estadia hospitalar foram relacionados à gravidade da queimadura, ao número de cirurgias e ao tempo decorrido até a primeira cirurgia, valores laboratoriais alterados tanto no perfil hematológico quanto químico durante a hospitalização, e a presença e o número de infecções documentadas. Conclusão: Existem fatores potencialmente modificáveis que infiuenciam o tempo de permanência hospitalar. Nosso estudo nos permite concluir que o tempo decorrido até a primeira intervenção cirúrgica e a presença e o número de infecções documentadas prolongam significativamente esse desfecho, e ênfase deve ser dada à implementação de medidas que favoreçam a intervenção cirúrgica precoce e o controle rigoroso de infecções.

Introduction: Burn patients' mortality rate has decreased significantly, making it important to evaluate other outcomes, such as length-of-stay, which increases physical and psychological morbidity, risk of nosocomial infection, and financial costs. The objective of this study is to analyze the relevance of several factors in the Burn Unit length-of-stay. Material and Methods: 711 patients were included in this study, admitted between 2011 and 2020 to the Burn Unit at São José Hospital, Centro Hospitalar Lisboa Central, Lisbon, Portugal. Collected data was analyzed using PSPP for Windows. Results: Patients included in the study were predominantly males, with a mean age of 54 years. The mean length of stay was 29 days. The factors that prolonged in-hospital stay were those related to the severity of the burn, the number of surgeries and the time elapsed until the first one, altered laboratory values in both hematologic and chemistry profile during the hospitalization, and the presence and number of documented infections. Conclusion: There are potentially modifiable factors that influence length-of-stay. Our study allows us to conclude that the time elapsed until the first surgical intervention and the presence and number of documented infections significantly prolong this outcome, and emphasis should be given to the implementation of measures that favor early surgical intervention and strict infection control.

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Infective endocarditis (IE) associated with implantable cardiac devices (ICD) is a serious disease with high mortality rates. The increased number of ICD implants has led to increased ICD infection rates. The aim of this study was to characterize clinical, laboratory profiles and the prognosis of cardiac-device-related endocarditis (CDIE), as well as to identify predictors of in-hospital death. A total of 274 patients with IE were included in a prospective cohort (2007-2019). From these, 82 patients (30%) had CDIE (46 pacemakers, 23 cardioverter defibrillators, and 13 cardiac resynchronization therapy devices). Predisposed conditions; clinical, laboratory and echocardiographic parameters; etiologic agents; and in-hospital outcomes were evaluated. The mean age was 55.8 ± 16.4 years, where 64.6% were male. Among the clinical manifestations at diagnosis, the most prevalent were heart failure (67.9%), fever (60.5%), anorexia/hyporexia (44.4%), and heart murmur (37.5%). The median serum C-reactive protein (CRP) level at diagnosis was 63 mg/L (interquartile range [IQR] 20-161). Etiological agents were identified through positive blood cultures in 55% of cases. The main etiologic agents were negative-coagulase staphylococci (19.5%) and Staphylococcus aureus (18.3%). Vegetation was identified in 74 patients (90.1%). In-hospital mortality was 28%. CRP concentrations at diagnosis were identified as markers of disease severity (odds ratio [OR] 1.006; 95%CI 1.001-1.011; p = 0.016), and the worsening of heart failure was associated with unfavorable outcomes (OR 3.105; 95%CI 1.397-6.902; p = 0.005). Unlike what is traditionally accepted, CDIE does not have a better prognosis.

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Background: Surgical care holds significant importance in healthcare, especially in low and middle-income countries, as at least 50% of the 4.2 million deaths within the initial 30 days following surgery take place in these countries. The Lancet Commission on Global Surgery proposed six indicators to enhance surgical care. In Colombia, studies have been made using secondary data. However, strategies to reduce perioperative mortality have not been implemented. This study aims to describe the fourth indicator, perioperative mortality rate (POMR), with primary data in Colombia. Methods: A multicentre prospective cohort study was conducted across 54 centres (hospitals) in Colombia. Each centre selected a 7-day recruitment period between 05/2022 and 01/2023. Inclusion criteria involved patients over 18 years of age undergoing surgical procedures in operating rooms. Data quality was ensured through a verification guideline and statistical analysis using mixed-effects multilevel modelling with a case mix analysis of mortality by procedure-related, patient-related, and hospital-related conditions. Findings: 3807 patients were included with a median age of 48 (IQR 32-64), 80.3% were classified as ASA I or II, and 27% of the procedures had a low-surgical complexity. Leading procedures were Orthopedics (19.2%) and Gynaecology/Obstetrics (17.7%). According to the Clavien-Dindo scale, postoperative complications were distributed in major complications (11.7%, 10.68-12.76) and any complication (31.6%, 30.09-33.07). POMR stood at 1.9% (1.48-2.37), with elective and emergency surgery mortalities at 0.7% (0.40-1.23) and 3% (2.3-3.89) respectively. Interpretation: The POMR was higher than the ratio reported in previous national studies, even when patients had a low-risk profile and low-complexity procedures. The present research represents significant public health progress with valuable insights for national decision-makers to improve the quality of surgical care. Funding: This work was supported by Universidad del Rosario and Fundación Cardioinfantil-Instituto de Cardiología grant number CTO-057-2021, project-ID IV-FGV017.

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OBJECTIVE: To evaluate the variation in COVID-19 inpatient care mortality among hospitals reimbursed by the Unified Health System (SUS) in the first two years of the pandemic in São Paulo state and make performance comparisons within periods and over time. METHODS: Observational study based on secondary data from the Hospital Information System. The study universe consisted of 289,005 adult hospitalizations whose primary diagnosis was COVID-19 in five periods from 2020 to 2022. A multilevel regression model was applied, and the death predictive variables were sex, age, Charlson Index, obesity, type of admission, Brazilian Deprivation Index (BrazDep), the month of admission, and hospital size. Then, the total observed deaths and total deaths predicted by the model's fixed effect component were aggregated by each hospital, estimating the Standardized Mortality Ratio (SMR) in each period. Funnel plots with limits of two standard deviations were employed to classify hospitals by performance (higher-than-expected, as expected, and lower-than-expected) and determine whether there was a change in category over the periods. RESULTS: A positive association was observed between hospital mortality and size (number of beds). There was greater variation in the percentage of hospitals with as-expected performance (39.5 to 76.1%) and those with lower-than-expected performance (6.6 to 32.3%). The hospitals with higher-than-expected performance remained at around 30% of the total, except in the fifth period. In the first period, 64 hospitals (18.3%) had lower-than-expected performance, with standardized mortality ratios ranging from 1.2 to 4.4, while in the last period, only 23 (6.6%) hospitals were similarly classified, with ratios ranging from 1.3 to 2.8. A trend of homogenization and adjustment to expected performance was observed over time. CONCLUSION: Despite the study's limitations, the results suggest an improvement in the COVID-19 inpatient care performance of hospitals reimbursed by the SUS in São Paulo over the period studied, measured by the standardized mortality ratio for hospitalizations due to COVID-19. Moreover, the methodological approach adapted to the Brazilian context provides an applicable tool to follow-up hospital's performance in caring all or specific-cause hospitalizations, in regular or exceptional emergency situations.

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This study aimed to identify the factors associated with all-cause in-hospital mortality in laboratory-confirmed dengue cases from 2020 to mid-2024. A nationwide retrospective cohort study was conducted in Mexico and data from 18,436 participants were analyzed. Risk ratios (RRs) and 95% confidence intervals (CIs), estimated using generalized linear regression models, were used to evaluate the factors associated with all-cause in-hospital mortality risk. The overall case-fatality rate was 17.5 per 1000. In the multiple model, compared to dengue virus (DENV) 1 infections, DENV-2 (RR = 1.81, 95% CI 1.15-2.86) and DENV-3 (RR = 1.87, 95% CI 1.19-2.92) were associated with increased mortality risk. Patient characteristics, such as increasing age (RR = 1.02, 95% CI 1.01-1.03), type 2 diabetes mellitus (RR = 2.07, 95% CI 1.45-2.96), and chronic kidney disease (RR = 3.35, 95% CI 2.03-5.51), were also associated with an increased risk of a fatal outcome. We documented the influence of both the virus and individual susceptibility on mortality risk, underscoring the need for a comprehensive public health strategy for dengue.

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RESUMEN Introducción: El Índice de Severidad del Embolismo Pulmonar (PESI) se utiliza para categorizar el riesgo de mortalidad en el tromboembolismo pulmonar agudo (TEP). Por definición, los pacientes con cáncer siempre presentarán un puntaje PESI simplificado alto y serán considerados de mayor riesgo. Existe información limitada respecto de si los pacientes con PESI intermedio o alto (≥86 puntos) y cáncer activo, tienen mayor riesgo de presentar una evolución desfavorable respecto de aquellos sin cáncer. Objetivos: Determinar si, en pacientes con TEP y un puntaje PESI ≥86 puntos, la presencia de cáncer activo se asocia a una evolución desfavorable respecto de aquellos sin cáncer. Material y métodos: Análisis retrospectivo en pacientes con TEP y un puntaje PESI ≥86, entre los años 2008 y 2022. Se evaluó la ocurrencia de muerte intrahospitalaria (MIH), uso de drogas vasopresoras (DV) y necesidad de asistencia respiratoria mecánica (ARM) en los pacientes con vs. sin cáncer. Resultados: Se analizaron 209 pacientes. La población con cáncer, respecto de aquella sin cáncer, resultó ser más joven (65 vs. 70 años; p=0,006), presentó valores de PESI simplificado altos con mayor frecuencia (100 % vs. 84 %; p<0,001), tuvo menor requerimiento de ARM (9 % vs. 34 %; p=0,005) y menor uso de DV (11 % vs. 23 %; p=0,019), aunque no se observaron dife rencias en las tasas de MIH (12,7 % vs. 8 %; p=NS). Conclusiones: Los pacientes con TEP y un puntaje PESI ≥86 con cáncer no presentaron mayor MIH e incluso tuvieron menor requerimiento de ARM y DV. En la población estudiada, los pacientes con TEP y cáncer no tuvieron mayor riesgo de presentar una evolución desfavorable.

ABSTRACT Background: The Pulmonary Embolism Severity Index (PESI) is used to categorize the risk of death in acute pulmonary em bolism (PE). By definition, cancer patients will always have a high simplified PESI score and will be considered at high risk. There is limited information regarding whether patients with an intermediate or high PESI score (≥86 points) and cancer are at greater risk of an unfavorable progression versus those without cancer. Objectives: To determine whether the presence of active cancer in patients with a PESI score ≥86 points is associated with an unfavorable progression versus those without cancer. Methods: A retrospective analysis in patients with PE and a PESI score ≥86, between 2008 and 2022. The occurrence of in-hospital mortality (IHM) the use of vasopressor drugs (VDs), and the need for mechanical ventilatory support (MVS) were evaluated in patients with vs. without cancer. Results: 209 patients were analyzed. The population with cancer was younger than patients without cancer (65 vs 70 years; p=0.006), showed high simplified PESI values more frequently (100% vs 84%; p<0.001), had lower MVS requirement (9% vs 34%; p=0.005), and used fewer VDs (11% vs 23%; p=0.019). However, no difference was observed in IHM rates (12.7% vs 8%; p=NS). Conclusions: Patients with PE and a PESI score ≥86 who have cancer did not show higher IHM and also had lower MVS and VDs requirement. Therefore, in the studied population, patients with PE and cancer had no greater risk of having an unfavorable progression.

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Abstract This article aims to examine the effects of weekend admission on in-hospital mortality for patients with acute myocardial infarction (AMI) in Brazil. Information from the Hospital Information System of the Unified Health System (SIH/SUS) of urgently admitted patients diagnosed with acute myocardial infarction (AMI) between 2008 and 2018 was used, made available through the Hospital Admission Authorization (AIH). Multivariable logistic regression models, controlling for observable patient characteristics, hospital characteristics and year and hospital-fixed effects, were used. The results were consistent with the existence of the weekend effect. For the model adjusted with the inclusion of all controls, the chance of death observed for individuals hospitalized on the weekend is 14% higher. Our results indicated that there is probably an important variation in the quality of hospital care depending on the day the patient is hospitalized. Weekend admissions were associated with in-hospital AMI mortality in Brazil. Future research should analyze the possible channels behind the weekend effect to support public policies that can effectively make healthcare equitable.

Resumo O objetivo deste artigo é examinar os efeitos da internação no final de semana na mortalidade hospitalar de pacientes com infarto agudo do miocárdio (IAM) no Brasil. Foram utilizadas informações do Sistema de Informação Hospitalar do Sistema Único de Saúde (SIH/SUS) de pacientes internados em urgência com diagnóstico de infarto agudo do miocárdio (IAM) entre 2008 e 2018, disponibilizados por meio da Autorização de Internação Hospitalar (AIH). Foram usados modelos de regressão logística multivariada, controlando as características observáveis ​​do paciente, características do hospital e efeitos fixos de ano e hospital. Os resultados foram consistentes com a existência do efeito fim de semana. Para o modelo ajustado com a inclusão de todos os controles, a chance de óbito observada para indivíduos internados no final de semana é 14% maior. Nossos resultados indicaram que provavelmente existe uma variação importante na qualidade da assistência hospitalar dependendo do dia em que o paciente fica internado. Internações em finais de semana foram associadas à mortalidade por IAM intra-hospitalar no Brasil. Pesquisas futuras devem analisar os possíveis canais por trás do weekend effect para subsidiar políticas públicas que possam efetivamente tornar o atendimento equitativo.

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OBJECTIVE: To evaluate the predictive ability of mortality prediction scales in cancer patients admitted to intensive care units (ICUs). DESIGN: A systematic review of the literature was conducted using a search algorithm in October 2022. The following databases were searched: PubMed, Scopus, Virtual Health Library (BVS), and Medrxiv. The risk of bias was assessed using the QUADAS-2 scale. SETTING: ICUs admitting cancer patients. PARTICIPANTS: Studies that included adult patients with an active cancer diagnosis who were admitted to the ICU. INTERVENTIONS: Integrative study without interventions. MAIN VARIABLES OF INTEREST: Mortality prediction, standardized mortality, discrimination, and calibration. RESULTS: Seven mortality risk prediction models were analyzed in cancer patients in the ICU. Most models (APACHE II, APACHE IV, SOFA, SAPS-II, SAPS-III, and MPM II) underestimated mortality, while the ICMM overestimated it. The APACHE II had the SMR (Standardized Mortality Ratio) value closest to 1, suggesting a better prognostic ability compared to the other models. CONCLUSIONS: Predicting mortality in ICU cancer patients remains an intricate challenge due to the lack of a definitive superior model and the inherent limitations of available prediction tools. For evidence-based informed clinical decision-making, it is crucial to consider the healthcare team's familiarity with each tool and its inherent limitations. Developing novel instruments or conducting large-scale validation studies is essential to enhance prediction accuracy and optimize patient care in this population.

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Purpose: The COVID-19 pandemic posed a worldwide challenge, leading to radical changes in surgical services. The primary objective of the study was to assess the impact of COVID-19 on elective and emergency surgeries in a Brazilian metropolitan area. The secondary objective was to compare the postoperative hospital mortality before and during the pandemic. Patients and Methods: Time-series cohort study including data of all patients admitted for elective or emergency surgery at the hospitals in the Public Health System of Federal District, Brazil, between March 2018 and February 2022, using data extracted from the Hospital Information System of Brazilian Ministry of Health (SIH/DATASUS) on September 30, 2022. A causal impact analysis was used to evaluate the impact of COVID-19 on elective and emergency surgeries and hospital mortality. Results: There were 174,473 surgeries during the study period. There was a reduction in overall (absolute effect per week: -227.5; 95% CI: -307.0 to -149.0), elective (absolute effect per week: -170.9; 95% CI: -232.8 to -112.0), and emergency (absolute effect per week: -57.7; 95% CI: -87.5 to -27.7) surgeries during the COVID-19 period. Comparing the surgeries performed before and after the COVID-19 onset, there was an increase in emergency surgeries (53.0% vs 68.8%, P < 0.001) and no significant hospital length of stay (P = 0.112). The effect of the COVID-19 pandemic on postoperative hospital mortality was not statistically significant (absolute effect per week: 2.1, 95% CI: -0.01 to 4.2). Conclusion: Our study showed a reduction in elective and emergency surgeries during the COVID-19 pandemic, possibly due to disruptions in surgical services. These findings highlight that it is crucial to implement effective strategies to prevent the accumulation of surgical waiting lists in times of crisis and improve outcomes for surgical patients.

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In the ongoing fight against Coronavirus Disease 2019 (COVID-19), researchers are exploring potential treatments to improve outcomes, especially in severe cases. This includes investigating the repurposing of existing medications, such as furosemide, which is widely available. This study aimed to evaluate the impact of furosemide on mortality rates among COVID-19 patients with severe or critical illness. We assessed a cohort of 515 hospitalized adults who experienced a high mortality rate of 43.9%. Using a multivariate analysis with adjusted risk ratios (AdRRs), factors like smoking (AdRR 2.48, 95% CI 1.53-4.01, p < 0.001), a high Pneumonia Severity Index (PSI) score (AdRR 7.89, 95% CI 5.82-10.70, p < 0.001), mechanical ventilation (AdRR 23.12, 95% CI 17.28-30.92, p < 0.001), neutrophilia (AdRR 2.12, 95% CI 1.52-2.95, p < 0.001), and an elevated neutrophil-to-lymphocyte ratio (NLR) (AdRR 2.39, 95% CI 1.72-3.32, p < 0.001) were found to increase mortality risk. In contrast, vaccination and furosemide use were associated with reduced mortality risk (AdRR 0.58, p = 0.001 and 0.60, p = 0.008; respectively). Furosemide showed a pronounced survival benefit in patients with less severe disease (PSI < 120) and those not on hemodialysis, with mortality rates significantly lower in furosemide users (3.7% vs. 25.7%). A Kaplan-Meier analysis confirmed longer survival and better oxygenation levels in patients treated with furosemide. Furthermore, a Structure-Activity Relationship analysis revealed that furosemide's sulfonamide groups may interact with cytokine sites such as tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), potentially explaining its beneficial effects in COVID-19 management. These findings suggest that furosemide could be a beneficial treatment option in certain COVID-19 patient groups, enhancing survival and improving oxygenation.

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Resumo Fundamento Dados robustos sobre a curva de aprendizagem (LC) da substituição da válvula aórtica transcateter (TAVR) são escassos nos países em desenvolvimento. Objetivo Avaliar a LC da TAVR no Brasil ao longo do tempo. Métodos Analisamos dados do registro brasileiro de TAVR de 2008 a 2023. Pacientes de cada centro foram numerados cronologicamente em número sequencial de caso (NSC). A LC foi realizada usando um spline cúbico restrito ajustado para o EuroSCORE-II e o uso de próteses de nova geração. Ainda, os desfechos hospitalares foram comparados entre grupos definidos de acordo com o nível de experiência, com base no NSC: 1º ao 40º caso (experiência inicial), 41º ao 80º caso (experiência básica), 81º ao 120º caso (experiência intermediária) e 121º caso em diante (experiência alta). Análises adicionais foram conduzidas de acordo com o número de casos tratados antes de 2014 (>40 e ≤40 procedimentos). O nível de significância adotado foi p <0,05. Resultados Foram incluídos 3194 pacientes de 25 centros. A idade média foi 80,7±8,1 anos e o EuroSCORE II médio foi 7±7,1. A análise da LC demonstrou uma queda na mortalidade hospitalar ajustada após o tratamento de 40 pacientes. Um patamar de nivelamento na curva foi observado após o caso 118. A mortalidade hospitalar entre os grupos foi 8,6%, 7,7%, 5,9%, e 3,7% para experiência inicial, básica, intermediária e alta, respectivamente (p<0,001). A experiência alta foi preditora independente de mortalidade mais baixa (OR 0,57, p=0,013 vs. experiência inicial). Centros com baixo volume de casos antes de 2014 não mostraram uma redução significativa na probabilidade de morte com o ganho de experiência, enquanto centros com alto volume de casos antes de 2014 apresentaram uma melhora contínua após o caso de número 10. Conclusão Observou-se um fenômeno de LC para a mortalidade hospitalar do TAVR no Brasil. Esse efeito foi mais pronunciado em centros que trataram seus 40 primeiros casos antes de 2014 que naqueles que o fizeram após 2014.

Abstract Background Robust data on the learning curve (LC) of transcatheter aortic valve replacement (TAVR) are lacking in developing countries. Objective To assess TAVR's LC in Brazil over time. Methods We analyzed data from the Brazilian TAVR registry from 2008 to 2023. Patients from each center were numbered chronologically in case sequence numbers (CSNs). LC was performed using restricted cubic splines adjusted for EuroSCORE-II and the use of new-generation prostheses. Also, in-hospital outcomes were compared between groups defined according to the level of experience based on the CSN: 1st to 40th (initial-experience), 41st to 80th (early-experience), 81st to 120th (intermediate-experience), and over 121st (high-experience). Additional analysis was performed grouping hospitals according to the number of cases treated before 2014 (>40 and ≤40 procedures). The level of significance adopted was <0.05. Results A total of 3,194 patients from 25 centers were included. Mean age and EuroSCORE II were 80.7±8.1 years and 7±7.1, respectively. LC analysis demonstrated a drop in adjusted in-hospital mortality after treating 40 patients. A leveling off of the curve was observed after case #118. In-hospital mortality across the groups was 8.6%, 7.7%, 5.9%, and 3.7% for initial-, early-, intermediate-, and high-experience, respectively (p<0.001). High experience independently predicted lower mortality (OR 0.57, p=0.013 vs. initial experience). Low-volume centers before 2014 showed no significant decrease in the likelihood of death with gained experience, whereas high-volume centers had a continuous improvement after case #10. Conclusion A TAVR LC phenomenon was observed for in-hospital mortality in Brazil. This effect was more pronounced in centers that treated their first 40 cases before 2014 than those that reached this milestone after 2014.

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Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.

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BACKGROUND: The quick Sequential Sepsis-related Organ Failure Assessment (qSOFA) is a score that has been proposed to quickly identify patients at higher risk of death. OBJECTIVE: To describe the usefulness of the qSOFA score to predict in-hospital mortality in cancer patients. MATERIAL AND METHODS: Cross-sectional study carried out between January 2021 and December 2022. Hospital mortality was the dependent variable. The area under the ROC curve (AUC) was calculated to determine the discriminative ability of qSOFA to predict in-hospital mortality. RESULTS: A total of 587 cancer patients were included. A qSOFA score higher than 1 obtained a sensitivity of 57.2%, specificity of 78.5%, a positive predictive value of 55.4% and negative predictive value of 79.7%. The AUC of qSOFA for predicting in-hospital mortality was 0.70. In-hospital mortality of patients with qSOFA scores of 2 and 3 points was 52.7 and 64.4%, respectively. In-hospital mortality was 31.9% (187/587). CONCLUSION: qSOFA showed acceptable discriminative ability for predicting in-hospital mortality in cancer patients.

ANTECEDENTES: El quick Sequential Sepsis-related Organ Failure Assessment (qSOFA) es una puntuación propuesta para identificar de forma rápida a pacientes con mayor probabilidad de morir. OBJETIVO: Describir la utilidad de la puntuación qSOFA para predecir mortalidad hospitalaria en pacientes con cáncer. MATERIAL Y MÉTODOS: Estudio transversal realizado entre enero de 2021 y diciembre de 2022. La mortalidad hospitalaria fue la variable dependiente. Se calculó el área bajo la curva ROC (ABC) para determinar la capacidad discriminativa de qSOFA para predecir mortalidad hospitalaria. RESULTADOS: Se incluyeron 587 pacientes con cáncer. La puntuación qSOFA < 1 obtuvo una sensibilidad de 57.2 %, una especificidad de 78.5 %, un valor predictivo positivo de 55.4 % y un valor predictivo negativo de 79.7 %. El ABC de qSOFA para predecir mortalidad hospitalaria fue de 0.70. La mortalidad hospitalaria de los pacientes con qSOFA de 2 y 3 puntos fue de 52.7 y 64.4 %, respectivamente. La mortalidad hospitalaria fue de 31.9 % (187/587). CONCLUSIÓN: qSOFA mostró capacidad discriminativa aceptable para predecir mortalidad hospitalaria en pacientes con cáncer.

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INTRODUCTION: Cyanotic congenital heart diseases constitute 40-45% of all congenital heart diseases. In patients who are not suitable for primary repair, modified BT (MBT) shunt and central shunt (CS) procedures are still frequently used. METHODS: This study included 62 pediatric patients who underwent MBT shunt or CS via median sternotomy. Patients' demographic, echocardiographic, operative, and postoperative data were collected retrospectively. The patients were classified as single ventricle and bi-ventricle according to their cardiac anatomy, and the presence of prematurity and heterotaxy was noted. Procedure details of the patients who underwent endovascular intervention prior to the surgery were investigated, and operation data were accessed from the surgery notes. Data regarding postoperative follow-ups were obtained and comparatively analyzed. RESULTS: Of the total 62 patients, 32 (51.6%) were newborns and 16 (25.8%) had a body weight < 3 kg. MBT shunt was applied to 48 patients (77.4%), while CS was applied to 14 patients (22.6%). There was no significant difference between the two surgical procedures in terms of requirement for urgent shunt or cardiopulmonary bypass, additional simultaneous surgical intervention, need for high postoperative inotropes, and in-hospital mortality (P>0.05). The rate of congestive heart failure in patients with in-hospital mortality was determined as 66.7% and it was significantly higher than in patients without heart failure (P<0.001). CONCLUSION: MBT shunt and CS are still frequently used in cyanotic patients. The use of small-diameter shunts, particularly when centrally located, can prevent the onset of congestive heart failure and lower mortality.

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BACKGROUND: The escalation of surgeries for high-risk patients in Low- and Middle-Income Countries (LMICs) lacks evidence on the positive impact of Intensive Care Unit (ICU) admission and lacks universal criteria for allocation. This study explores the link between postoperative ICU allocation and mortality in high-risk patients within a LMIC. Additionally, it assesses the Ex-Care risk model's utility in guiding postoperative allocation decisions. METHODS: A secondary analysis was conducted in a cohort of high-risk surgical patients from a 800-bed university-affiliated teaching hospital in Southern Brazil (July 2017 to January 2020). Inclusion criteria encompassed 1431 inpatients with Ex-Care Model-assessed all-cause postoperative 30-day mortality risk exceeding 5%. The study compared 30-day mortality outcomes between those allocated to the ICU and the Postanesthetic Care Unit (PACU). Outcomes were also assessed based on Ex-Care risk model classes. RESULTS: Among 1431 high-risk patients, 250 (17.47%) were directed to the ICU, resulting in 28% in-hospital 30-day mortality, compared to 8.9% in the PACU. However, ICU allocation showed no independent effect on mortality (RR = 0.91; 95% CI 0.68‒1.20). Patients in the highest Ex-Care risk class (Class IV) exhibited a substantial association with mortality (RR = 2.11; 95% CI 1.54-2.90) and were more frequently admitted to the ICU (23.3% vs. 13.1%). CONCLUSION: Patients in the highest Ex-Care risk class and those with complications faced elevated mortality risk, irrespective of allocation. Addressing the unmet need for adaptable postoperative care for high-risk patients outside the ICU is crucial in LMICs. Further research is essential to refine criteria and elucidate the utility of risk assessment tools like the Ex-Care model in assisting allocation decisions.

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Stroke constitutes a significant global cause of mortality and disability. The implementation of stroke units influences hospital quality indicators, guiding care management. We aimed to compare hospital length of stay (LOS), in-hospital mortality, and post-discharge mortality between stroke patients admitted in the pre- and post-implementation periods of a stroke unit in a public hospital in southern Brazil. This retrospective cohort study used real-world data from one reference hospital, focusing on the intervention (stroke unit) and comparing it to the general ward (control). We analyzed the electronic medical records of 674 patients admitted from 2009 to 2012 in the general ward and 766 patients from 2013 to 2018 in the stroke unit. Admission to the stroke unit was associated with a 43% reduction in the likelihood of prolonged hospitalization. However, there was no significant difference in the risk of in-hospital mortality between the groups (Hazard ratio = 0.90; Interquartile range = 0.58 to 1.39). The incidence of death at three, six and twelve months post-discharge did not differ between the groups. Our study results indicate significant improvements in care processes for SU patients, including shorter LOS and better adherence to treatment protocols. However, our observations revealed no significant difference in mortality rates, either during hospitalization or after discharge, between the SU and GW groups. While SU implementation enhances efficiency in stroke care, further research is needed to explore long-term outcomes and optimize management strategies.

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ABSTRACT Background: Pan-immuno-inflammation value is a new and comprehensive index that reflects both the immune response and systemic inflammation in the body. Objective: The aim of this study was to investigate the prognostic relevance of pan-immuno-inflammation value in predicting in-hospital mortality in acute pulmonary embolism patients and to compare it with the well-known risk scoring system, pulmonay embolism severity index, which is commonly used for a short-term mortality prediction in such patients. Methods: In total, 373 acute pulmonary embolism patients diagnosed with contrast-enhanced computed tomography were included in the study. Detailed cardiac evaluation of each patient was performed and pulmonary embolism severity index and pan-immuno-inflammation value were calculated. Results: In total, 60 patients died during their hospital stay. The multivariable logistic regression analysis revealed that baseline heart rate, N-terminal pro-B-type natriuretic peptide, lactate dehydrogenase, pan-immuno-inflammation value, and pulmonary embolism severity index were independent risk factors for in-hospital mortality in acute pulmonay embolism patients. When comparing with pulmonary embolism severity index, pan-immuno-inflammation value was non-inferior in terms of predicting the survival status in patients with acute pulmonay embolism. Conclusion: In our study, we found that the PIV was statistically significant in predicting in-hospital mortality in acute pulmonay embolism patients and was non-inferior to the pulmonary embolism severity index. (Rev Invest Clin. 2024;76(2):97-102)

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INTRODUCTION: Limited options in the end-stage treatment of heart failure have led to increased use of left ventricular assist devices. For this reason, the rate of non-cardiac surgeries in patients with left ventricular assist devices is also increasing. Our study aims to analyze surgical rate, anesthesia management, and results by reviewing our 11-year experience with patients who underwent non-cardiac surgery receiving left ventricular assist devices support. METHODS: We retrospectively evaluated 57 patients who underwent non-cardiac surgery and 67 non-cardiac surgical procedures among 274 patients who applied between January 2011 and December 2022 and underwent left ventricular assist devices implantation with end-stage heart failure. RESULTS: Fifty (74.6%) patients with left ventricular assist devices admitted to the hospital for non-cardiac surgery were emergency interventions. The most common reasons for admission were general surgery (52.2%), driveline wound revision (22.3%), and neurological surgery (14.9%). This patient group has the highest in-hospital mortality rate (12.8%) and the highest rate of neurological surgery (8.7%). While 70% of the patients who underwent neurosurgery were taken to surgery urgently, the International Normalized Ratio values of these patients were between 3.5 and 4.5 at the time of admission to the emergency department. CONCLUSION: With a perioperative multidisciplinary approach, higher morbidity and mortality risks can be reduced during emergencies and major surgical procedures.

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OBJECTIVE: This study aimed to analyze dengue hospitalizations and in-hospital mortality trends in Ecuador, along with sociodemographic factors influencing adverse outcomes. METHODS: This study included 31,616 dengue hospitalizations in Ecuador during 2015-2022, of which 115 (0.36%) died. Data were extracted from national hospital registries. Age adjusted rates were calculated, and for the analysis of changes in trend, a Joinpoint regression was performed. Multivariate binary and multinomial logistic regressions were performed for assessing sociodemographic factors influencing dengue adverse outcomes. RESULTS: During 2015-2022, the mean age adjusted dengue hospitalization rate was 22.3 per 100,000 inhabitants with 49.41% annual decrease during 2015-2017 and 31.73% annual increase during 2017-2022 with higher rates in 2020 with 31.61, 2021 with 34.42, and 2022 with 25.81. The mean dengue in-hospital mortality rate was 0.08, mortality rates did not show significant changes during 2015-2022. Higher probability of death was observed in ages ≥50 years and ethnic minorities. People living in rural areas exhibited a 64% higher risk for complicated dengue hospitalization. CONCLUSIONS: It was observed as an important accomplishment in Ecuador's ongoing efforts to improve healthcare regarding dengue. 0.36% of dengue hospitalizations ended in death which is below the recommended 1%. The increase in dengue hospitalizations in Ecuador during recent years remains a concern. The COVID-19 pandemic might have influenced dengue prevention and vector control to be neglected leading to an increase in cases.

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