Predictors of Mortality in Patients with Cardiac Device-Related Infective Endocarditis.

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.

Are heart attacks deadlier on weekends? Evidence of weekend effect in Brazil / Os ataques cardíacos são mais letais nos fins de semana? Evidência do "efeito final de semana" no Brasil

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.

Postoperative intensive care allocation and mortality in high-risk surgical patients: evidence from a low- and middle-income country cohort.

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.

Evaluation of Pan-Immuno-Inflammation Value for In-Hospital Mortality in Acute Pulmonary Embolism Patients

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)

Hospital Outcomes in Patients With Pulmonary Hypertension With Atrial Fibrillation in the United States.

In this study, using a large database, we examined the association between atrial fibrillation (AF) in hospitalized patients with pulmonary hypertension (PH) and in-hospital mortality and other adverse hospital outcomes. This study was a retrospective analysis of the United States National (Nationwide) Inpatient Sample from 2005 to 2014. All hospitalizations for patients diagnosed with primary PH and over the age of 65 years were included and then grouped based on the presence AF. The outcomes were in-hospital mortality rate, hospital length of stay, and hospitalization costs. Weighted regression analyses were performed to find the association between AF and outcomes. Of the 5,428,332 hospitalizations with PH, 2,531,075 (46.6%) had concomitant AF. The Cox proportional regression analysis showed that in patients with PE, all-cause mortality (hazard ratio 1.35, confidence interval [CI] 1.15 to 1.55) was significantly higher in patients with AF than those without AF. In addition, PH hospitalizations with AF had a longer hospital length of stay (ß coefficient 1.74, 95% CI 1.58 to 1.83) and higher hospitalization cost (ß coefficient 1.33, 95% CI 1.12 to 1.42). In patients aged over 65 years admitted for PH, the presence of AF was very frequent and worsened the prognosis. In conclusion, to improve patient outcomes and decrease hospital burden, it is important to consider AF during risk stratification for patients with PH to provide timely and prompt interventions. An interdisciplinary approach to treatment should be used to account for the burden of co-morbidities in this population.

Clinical features, etiologies, and outcomes of central nervous system infections in intensive care: A multicentric retrospective study in a large Brazilian metropolitan area.

PURPOSE: The goal of this study was to investigate severe central nervous system infections (CNSI) in adults admitted to the intensive care unit (ICU). We analyzed the clinical presentation, causes, and outcomes of these infections, while also identifying factors linked to higher in-hospital mortality rates. MATERIALS AND METHODS: We conducted a retrospective multicenter study in Rio de Janeiro, Brazil, from 2012 to 2019. Using a prediction tool, we selected ICU patients suspected of having CNSI and reviewed their medical records. Multivariate analyses identified variables associated with in-hospital mortality. RESULTS: In a cohort of 451 CNSI patients, 69 (15.3%) died after a median 11-day hospitalization (5-25 IQR). The distribution of cases was as follows: 29 (6.4%) had brain abscess, 161 (35.7%) had encephalitis, and 261 (57.8%) had meningitis. Characteristics: median age 41 years (27-53 IQR), 260 (58%) male, and 77 (17%) HIV positive. The independent mortality predictors for encephalitis were AIDS (OR = 4.3, p = 0.01), ECOG functional capacity limitation (OR = 4.0, p < 0.01), ICU admission from ward (OR = 4.0, p < 0.01), mechanical ventilation ≥10 days (OR = 6.1, p = 0.04), SAPS 3 ≥ 55 points (OR = 3.2, p = 0.02). Meningitis: Age > 60 years (OR = 234.2, p = 0.04), delay >3 days for treatment (OR = 2.9, p = 0.04), mechanical ventilation ≥10 days (OR = 254.3, p = 0.04), SOFA >3 points (OR = 2.7, p = 0.03). Brain abscess: No associated factors found in multivariate regression. CONCLUSIONS: Patients' overall health, prompt treatment, infection severity, and prolonged respiratory support in the ICU all significantly affect in-hospital mortality rates. Additionally, the implementation of CNSI surveillance with the used prediction tool could enhance public health policies.

Relationship between clinical-epidemiological parameters and outcomes of patients with COVID-19 admitted to the intensive care unit: a report from a Brazilian hospital.

Background: People in low-income countries, especially those with low socio-economic conditions, are likelier to test positive for SARS-CoV-2. The unequal conditions of public health systems also increase the infection rate and make early identification and treatment of at-risk patients difficult. Here, we aimed to characterize the epidemiological profile of COVID-19 patients in intensive care and identify laboratory and clinical markers associated with death. Materials and methods: We conducted an observational, descriptive, and cross-sectional study in a reference hospital for COVID-19 treatment in the Southern Region of Bahia State, in Brazil, to evaluate the epidemiological, clinical, and laboratory characteristics of COVID-19 patients admitted to the intensive care unit (ICU). Additionally, we used the area under the curve (AUC) to classify survivors and non-survivors and a multivariate logistic regression analysis to assess factors associated with death. Data was collected from the hospital databases between April 2020 and July 2021. Results: The use of bladder catheters (OR 79.30; p < 0.0001) and central venous catheters (OR, 45.12; p < 0.0001) were the main factors associated with death in ICU COVID-19 patients. Additionally, the number of non-survivors increased with age (p < 0.0001) and prolonged ICU stay (p < 0.0001). Besides, SAPS3 presents a higher sensibility (77.9%) and specificity (63.1%) to discriminate between survivors and non-survivor with an AUC of 0.79 (p < 0.0001). Conclusion: We suggest that multi-laboratory parameters can predict patient prognosis and guide healthcare teams toward more assertive clinical management, better resource allocation, and improved survival of COVID-19 patients admitted to the ICU.

Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.

Socioeconomic disparities play an important role in the development of severe clinical outcomes including deaths from COVID-19. However, the current scientific evidence in regard the association between measures of poverty and COVID-19 mortality in hospitalized patients is scant. The objective of this study was to investigate whether there is an association between the Colombian Multidimensional Poverty Index (CMPI) and mortality from COVID-19 in hospitalized patients in Colombia from May 1, 2020 to August 15, 2021. This was an ecological study using individual data on hospitalized patients from the National Institute of Health of Colombia (INS), and municipal level data from the High-Cost Account and the National Administrative Department of Statistics. The main outcome variable was mortality due to COVID-19. The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%-20%), (ii) level II (20%-40%), (iii) level III (40%-60%), (iv) level IV (60%-80%); and (v) level V (80%-100%). The higher the level, the higher the level of multidimensional poverty. A Bayesian multilevel logistic regression model was applied to estimate Odds Ratio (OR) and their corresponding 95% credible intervals (CI). In addition, a subgroup analysis was performed according to the epidemiological COVID-19 waves using the same model. The odds for dying from COVID-19 was 1.46 (95% CI 1.4-1.53) for level II, 1.41 (95% CI 1.33-1.49) for level III and 1.70 (95% CI 1.54-1.89) for level IV hospitalized COVID-19 patients compared with the least poor patients (CMPI level I). In addition, age and male sex also increased mortality in COVID-19 hospitalized patients. Patients between 26 and 50 years-of-age had 4.17-fold increased odds (95% CI 4.07-4.3) of death compared with younger than 26-years-old patients. The corresponding for 51-75 years-old patients and those above the age of 75 years were 9.17 (95% CI 8.93-9.41) and 17.1 (95% CI 16.63-17.56), respectively. Finally, the odds of death from COVID-19 in hospitalized patients gradually decreased as the pandemic evolved. In conclusion, socioeconomic disparities were a major risk factor for mortality in patients hospitalized for COVID-19 in Colombia.

Combined effects of hyponatremia and hepatic encephalopathy on inpatient mortality.

INTRODUCTION AND OBJECTIVES: Although hyponatremia and hepatic encephalopathy (HE) are known independent predictors of mortality, their combined effect is unknown. We investigated whether the inpatient mortality differed among patients with both hyponatremia and HE compared to those with either hyponatremia or HE alone. MATERIALS AND METHODS: In this retrospective study, data were extracted from the National Inpatient Sample (NIS) to identify US adults (aged ≥18 years) with cirrhosis between January 1st, 2016, and December 31st, 2017. We analyzed the effects of hyponatremia, HE, or a combination of hyponatremia and HE on inpatient mortality using logistic regression. RESULTS: Among 309,841 cirrhosis-related admissions, 22,870 (7%) patients died during hospitalization. Those with a combination of hyponatremia and HE had higher mortality (14%) than those with HE only (11%), hyponatremia only (9%), and neither hyponatremia nor HE (6%) (p<0.001). When compared to patients without hyponatremia or HE, patients with both hyponatremia and HE had the highest odds (adjusted odds ratio or aOR) of inpatient mortality (aOR 1.90, 95% CI: 1.79 - 2.01) followed by patients with HE only (aOR 1.75, 95% CI: 1.69 - 1.82) and patients with hyponatremia only (aOR 1.17, 95% CI: 1.12 - 1.22). Patients with HE only had 50% higher odds of inpatient mortality when compared to those with hyponatremia only (aOR: 1.50, 95% CI: 1.43 - 1.57). CONCLUSIONS: In this nationwide study, the presence of both hyponatremia and HE was associated with higher inpatient mortality than either hyponatremia or HE alone.

Clinical characteristics and outcomes of hospital-manifested COVID-19 among Brazilians.

OBJECTIVES: To analyze the clinical characteristics and outcomes of admitted patients with the hospital- versus community-manifested COVID-19 and to evaluate the risk factors related to mortality in the first population. METHODS: This retrospective cohort included consecutive adult patients with COVID-19, hospitalized between March and September 2020. The demographic data, clinical characteristics, and outcomes were extracted from medical records. Patients with hospital-manifested COVID-19 (study group) and those with community-manifested COVID-19 (control group) were matched by the propensity score model. Logistic regression models were used to verify the risk factors for mortality in the study group. RESULTS: Among 7,710 hospitalized patients who had COVID-19, 7.2% developed symptoms while admitted for other reasons. Patients with hospital-manifested COVID-19 had a higher prevalence of cancer (19.2% vs 10.8%) and alcoholism (8.8% vs 2.8%) than patients with community-manifested COVID-19 and also had a higher rate of intensive care unit requirement (45.1% vs 35.2%), sepsis (23.8% vs 14.5%), and death (35.8% vs 22.5%) (P <0.05 for all). The factors independently associated with increased mortality in the study group were increasing age, male sex, number of comorbidities, and cancer. CONCLUSION: Hospital-manifested COVID-19 was associated with increased mortality. Increasing age, male sex, number of comorbidities, and cancer were independent predictors of mortality among those with hospital-manifested COVID-19 disease.

24th hour vasoactive inotrope score is associated with poor outcome in adult cardiac surgery

SUMMARY OBJECTIVE: The aim of this study was to investigate the efficacy of vasoactive inotrope score at the 24th postoperative hour for mortality and morbidity in elective adult cardiac surgery. METHODS: Consecutive patients who underwent elective adult coronary artery bypass and valve surgery in a single tertiary center for cardiac surgery between December 2021 and March 2022 were prospectively included. The vasoactive inotrope score was calculated with the dosage of inotropes that were continuing at the 24th postoperative hour. Poor outcome was defined as any event of perioperative mortality or morbidity. RESULTS: The study included 287 patients, of whom 69 (24.0%) were on inotropes at the 24th postoperative hour. The vasoactive inotrope score was higher (21.6±22.5 vs. 0.94±2.7, p=0.001) in patients with poor outcome. One unit increase in the vasoactive inotrope score had an odds ratio of 1.24 (95% confidence interval: 1.14-1.35) for poor outcome. The receiver operating characteristic curve of vasoactive inotrope score for poor outcome had an area under the curve of 0.857. CONCLUSION: Vasoactive inotrope score at the 24th hour can be a very valuable parameter for risk calculation in the early postoperative period.

Evaluation of time to death after admission to an intensive care unit and factors associated with mortality: A retrospective longitudinal study.

Background: Among nonsurvivors admitted to the intensive care unit (ICU), some present early mortality while other patients, despite having a favorable evolution regarding the initial disease, die later due to complications related to hospitalization. This study aims to identify factors associated with the time until death after admission to an ICU of a university hospital. Methods: Retrospective longitudinal study that included adult patients admitted to the ICU between January 1, 2008, and December 31, 2017. Nonsurviving patients were divided into groups according to the length of time from admission to the ICU until death: Early (0-5 days), intermediate (6-28 days), and late (>28 days). Patients were considered septic if they had this diagnosis on admission to the ICU. Simple linear regression analysis was performed to evaluate the association between time to death over the years of the study. Multivariate cox regression was used to assess risk factors for the outcome in the ICU. Results: In total, 6596 patients were analyzed. Mortality rate was 32.9% in the ICU. Most deaths occurred in the early (42.8%) and intermediate periods (47.9%). Patients with three or more dysfunctions on admission were more likely to die early (P < 0.001). The diagnosis of sepsis was associated with a higher mortality rate. The multivariate analysis identified age >60 years (hazard ratio [HR] 1.009), male (HR 1.192), mechanical ventilation (HR 1.476), dialysis (HR 2.297), and sequential organ failure assessment >6 (HR 1.319) as risk factors for mortality. Conclusion: We found a higher proportion of early and intermediate deaths in the study period. The presence of three or more organ dysfunctions at ICU admission was associated with early death. The diagnosis of sepsis evident on ICU admission was associated with higher mortality.

Upper respiratory tract viral load quantification in COVID-19 patients at hospital admission and its association with disease severity.

INTRODUCTION: There are aspects of COVID-19 pathogenesis that are still unknown. OBJECTIVE: To determine the relationship between severity, mortality and viral replication in patients with COVID-19. METHODS: Clinical characteristics, severity and mortality of 203 patients hospitalized for COVID-19 were analyzed and correlated with viral load (VL) and threshold cycle (TC) at admission; nasopharyngeal swab was obtained. RESULTS: Mean VLs in surviving patients with mild to moderate, moderate to severe and severe disease were the following: 6.8 x 106, 7.6 x 107 and 1.0 x 109, respectively; and in patients with critical disease who died, VL was 1.70 x 109. TCs were 26.06, 24.07, 22.66 and 21.78 for the same groups. In those who died, a higher mean VL was observed at admission in comparison with those who survived (1.7 x 109 vs. 9.84 x 106; p < 0.001). A significant correlation was observed between VL, severity and death (r = 0.254, p < 0.045 and r = 0.21, p < 0.015). High VL was associated with increased in-hospital mortality in comparison with low VL (OR = 2.926, p < 0.017). CONCLUSION: SARS-CoV-2 VL determined at hospital admission might classify risk simultaneously with other factors described in COVID-19.

INTRODUCCIÓN: Aún se desconocen aspectos de la patogenia de COVID-19. OBJETIVO: Determinar la relación entre gravedad, mortalidad y replicación viral en pacientes con COVID-19. MÉTODOS: Se analizaron características clínicas, gravedad de la enfermedad y mortalidad de 203 pacientes hospitalizados por COVID-19 y se correlacionaron con carga viral (CV) y ciclo umbral (Ct) al ingreso; se tomó hisopado nasofaríngeo. RESULTADOS: Las CV medias en los pacientes sobrevivientes fueron las siguientes ante enfermedad leve a moderada, moderada a grave y grave: 6.8 × 106, 7.6 × 107 y 1.0 × 109; y en los pacientes con enfermedad crítica que fallecieron, la CV fue de 1.70 × 109. Los Ct fueron 26.06, 24.07, 22.66 y 21.78 para esos mismos grupos. En quienes fallecieron se observó mayor CV media al ingreso en comparación con quienes sobrevivieron (1.7 × 109 versus 9.84 × 106), p < 0.001. Se evidenció correlación significativa entre CV, gravedad y muerte (r = 0.254, p < 0.045 y r = 0.21, p < 0.015). La CV alta se asoció a mayor mortalidad intrahospitalaria en comparación con la CV baja (RM = 2.926, p < 0.017). CONCLUSIÓN: La CV de SARS-CoV-2 determinada al ingreso hospitalario podría calificar el riesgo simultáneamente con otros factores descritos en COVID-19.

Epidemiología y mortalidad hospitalaria por evento vascular cerebral en un hospital de la Ciudad de México: estudio prospectivo de 2 años.

OBJECTIVE: To describe patient characteristics, case fatality rate, and assess predictors of in-hospital acute ischemic (IS) or hemorrhagic stroke (HS) mortality. METHOD: Adult patients with confirmed stroke were recruited from January 1st, 2018 to December 31st, 2019.Data collect included demographic and laboratory characteristics, risk factors, and clinical outcome. A binary logistic regression model with relative risk and 95% confidence interval was performed. RESULTS: A total of 172 patients were recruited; IS was present in 78.5% of patients. The mean of age was 75.27 ± 11.44 years in IS group and 71.62 ± 11.72 years in HS group. Hypertension was present in > 70% of patients in both groups; the in-hospital case fatality rate was 15.5% for IS and 21.5% for HS. Severe NIHSS score (> 13) was significantly associated with in-hospital mortality in both stroke types. CONCLUSIONS: Hypertension was the most common risk factor in patients with stroke. The in-hospital case fatality rate was lower to previously reported in Mexico. Nevertheless, it remains high compared to reported in developed countries. NIHSS scale was the strongest predictor of mortality. There is a need to develop more effective stroke management services in Mexico.

OBJETIVO: Describir las características y los factores pronósticos para mortalidad intrahospitalaria en pacientes con diagnóstico de evento vascular cerebral isquémico (EVCi) o hemorrágico (EVCh). MÉTODO: Se incluyeron 172 pacientes en el periodo del 1 de enero de 2018 al 31 de diciembre de 2019. Se recabaron características demográficas, de laboratorio y factores de riesgo. Se realizó un análisis de regresión logística binaria calculando el riesgo relativo y el intervalo de confianza al 95% para identificar las variables asociadas a la mortalidad. RESULTADOS: El 78.5% de los pacientes presentaron EVCi. La media de edad fue de 75.27 ± 11.44 años en el EVCi y de 71.62 ± 11.72 años en el EVCh. El antecedente de hipertensión se encontró en más del 70% de los pacientes en ambos tipos de EVC. La mortalidad hospitalaria fue del 15.5% en el EVCi y del 21.5% en el EVCh. Una puntuación grave (> 13) en la escala NIHSS (National Institutes of Health Stroke Scale) presentó asociación significativa con la mortalidad en ambos tipos de EVC. CONCLUSIONES: La hipertensión fue el factor de riesgo más común. La mortalidad hospitalaria fue menor que lo reportado previamente en México. La escala NIHSS fue el mejor predictor de mortalidad. Es necesario desarrollar estrategias para mejorar la atención de los pacientes con EVC en México.

Cuantificación de la carga viral en el tracto respiratorio superior en pacientes con COVID-19 al ingreso hospitalario y su asociación con la gravedad de la enfermedad / Upper respiratory tract viral load quantification in COVID-19 patients at hospital admission and its association with disease severity

Resumen Introducción: Aún se desconocen aspectos de la patogenia de COVID-19. Objetivo: Determinar la relación entre gravedad, mortalidad y replicación viral en pacientes con COVID-19. Métodos: Se analizaron características clínicas, gravedad de la enfermedad y mortalidad de 203 pacientes hospitalizados por COVID-19 y se correlacionaron con carga viral (CV) y ciclo umbral (Ct) al ingreso; se tomó hisopado nasofaríngeo. Resultados: Las CV medias en los pacientes sobrevivientes fueron las siguientes ante enfermedad leve a moderada, moderada a grave y grave: 6.8 × 106, 7.6 × 107 y 1.0 × 109; y en los pacientes con enfermedad crítica que fallecieron, la CV fue de 1.70 × 109. Los Ct fueron 26.06, 24.07, 22.66 y 21.78 para esos mismos grupos. En quienes fallecieron se observó mayor CV media al ingreso en comparación con quienes sobrevivieron (1.7 × 109 versus 9.84 × 106), p < 0.001. Se evidenció correlación significativa entre CV, gravedad y muerte (r = 0.254, p < 0.045 y r = 0.21, p < 0.015). La CV alta se asoció a mayor mortalidad intrahospitalaria en comparación con la CV baja (RM = 2.926, p < 0.017). Conclusión: La CV de SARS-CoV-2 determinada al ingreso hospitalario podría calificar el riesgo simultáneamente con otros factores descritos en COVID-19.

Abstract Introduction: There are aspects of COVID-19 pathogenesis that are still unknown. Objective: To determine the relationship between severity, mortality and viral replication in patients with COVID-19. Methods: Clinical characteristics, severity and mortality of 203 patients hospitalized for COVID-19 were analyzed and correlated with viral load (VL) and threshold cycle (TC) at admission; nasopharyngeal swab was obtained. Results: Mean VLs in surviving patients with mild to moderate, moderate to severe and severe disease were the following: 6.8 × 106, 7.6 × 107 and 1.0 × 109, respectively; and in patients with critical disease who died, VL was 1.70 × 109. TCs were 26.06, 24.07, 22.66 and 21.78 for the same groups. In those who died, a higher mean VL was observed at admission in comparison with those who survived (1.7 × 109 vs 9.84 × 106; p < 0.001). A significant correlation was observed between VL, severity and death (r = 0.254, p < 0.045 and r = 0.21, p < 0.015). High VL was associated with increased in-hospital mortality in comparison with low VL (OR = 2.926, p < 0.017). Conclusion: SARS-CoV-2 VL determined at hospital admission might classify risk simultaneously with other factors described in COVID-19.

Corrigendum: Impact of COVID-19 in-hospital mortality in chagas disease patients.

[This corrects the article DOI: 10.3389/fmed.2022.880796.].

Regional heterogeneity of in-hospital mortality of COVID-19 in Brazil.

Background: The ongoing Coronavirus disease of 2019 (COVID-19) pandemic has hit Brazil hard in period of different dominant variants. Different COIVD-19 variants have swept through the region, resulting that the total number of cases in Brazil is the third highest in the world. This study is aimed at investigating the regional heterogeneity of in-hospital mortality of COVID-19 in Brazil and the effects of vaccination and social inequality. Methods: We fitted a multivariate mixed-effects Cox model to a national database of inpatient data in Brazil who were admitted for COVID-19 from February 27, 2020 to March 15, 2022. The in-hospital mortality risks of vaccinated and unvaccinated patients were compared, with adjustment for age, state, ethnicity, education and comorbidities. And the effects of variables to in-hospital mortality were also compared. Stratified analysis was conducted across different age groups and vaccine types. Results: By fitting the multivariate mixed-effects Cox model, we concluded that age was the most important risk factor for death. With regards to educational level, illiterate patients (hazard ratio: 1.63, 95% CI: 1.56-1.70) had a higher risk than those with a university or college degree. Some common comorbidities were more dangerous for hospitalized patients, such as liver disease (HR: 1.46, 95% CI: 1.34-1.59) and immunosuppression (HR:1.32, 95% CI: 1.26-1.40). In addition, the states involving Sergipe (HR: 1.75, 95% CI: 1.46-2.11), Roraima (HR: 1.65, 95% CI: 1.43-1.92), Maranhão (HR: 1.57, 95% CI: 1.38-1.79), Acre (HR: 1.44, 95% CI: 1.12-1.86), and Rondônia (HR: 1.26, 95% CI: 1.10-1.44) in the north and the northeast region tended to have higher hazard ratios than other area. In terms of vaccine protection, vaccination did not significantly reduce mortality among hospitalized patients. Sinovac and AstraZeneca offered different protection in different regions, and no vaccine provided high protection in all regions. Conclusion: The study revealed the regional heterogeneity of in-hospital mortality of Covid-19 in Brazil and the effects of vaccination and social inequality. We found that ethnic concentrations were consistent with higher proportion of death cases relative to population size. White Brazilians had more frequent international travel opportunities. As race revealed the intersection of social connections, we speculated that uneven interactions with residential communities partially contribute to the spread of the epidemic. Additionally, the vaccine showed different protection in different regions. In the northern and northeastern regions, AstraZeneca was much more protective than Sinovac, while Sinovac was more protective for hospitalized patients with varying numbers of comorbidities in the Central-west, Southeast and South regions.

Impact of COVID-19 In-hospital Mortality in Chagas Disease Patients.

The COVID-19 virus infection caused by the new SARS-CoV-2 was first identified in Rio de Janeiro (RJ), Brazil, in March 2020. Until the end of 2021, 504,399 COVID-19 cases were confirmed in RJ, and the total death toll reached 68,347. The Evandro Chagas National Institute of Infectious Diseases from Oswaldo Cruz Foundation (INI-Fiocruz) is a referral center for treatment and research of several infectious diseases, including COVID-19 and Chagas disease (CD). The present study aimed to evaluate the impact of COVID-19 on in-hospital mortality of patients with CD during the COVID-19 pandemic period. This observational, retrospective, longitudinal study evaluated all patients with CD hospitalized at INI-Fiocruz from May 1, 2020, to November 30, 2021. One hundred ten hospitalizations from 81 patients with CD (58% women; 68 ± 11 years) were evaluated. Death was the study's main outcome, which occurred in 20 cases. The mixed-effects logistic regression was performed with the following variables to test whether patients admitted to the hospital with a COVID-19 diagnosis would be more likely to die than those admitted with other diagnoses: admission diagnosis, sex, age, COVID-19 vaccination status, CD clinical classification, and the number of comorbidities. Results from multiple logistic regression analysis showed a higher risk of in-hospital mortality in patients diagnosed with COVID-19 (OR 6.37; 95% CI 1.78-22.86) compared to other causes of admissions. In conclusion, COVID-19 infection had a significant impact on the mortality risk of INI-Fiocruz CD patients, accounting for one-third of deaths overall. COVID-19 presented the highest percentage of death significantly higher than those admitted due to other causes during the COVID-19 pandemic.

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil.

Background: We evaluated in-hospital mortality and outcomes incidence after hospital discharge due to COVID-19 in a Brazilian multicenter cohort. Methods: This prospective multicenter study (RECOVER-SUS, NCT04807699) included COVID-19 patients hospitalized in public tertiary hospitals in Brazil from June 2020 to March 2021. Clinical assessment and blood samples were performed at hospital admission, with post-hospital discharge remote visits. Hospitalized participants were followed-up until March 31, 2021. The outcomes were in-hospital mortality and incidence of rehospitalization or death after hospital discharge. Kaplan-Meier curves and Cox proportional-hazard models were performed. Findings: 1589 participants [54.5% male, age=62 (IQR 50-70) years; BMI=28.4 (IQR,24.9-32.9) Kg/m² and 51.9% with diabetes] were included. A total of 429 individuals [27.0% (95%CI,24.8-29.2)] died during hospitalization (median time 14 (IQR,9-24) days). Older age [vs<40 years; age=60-69 years-aHR=1.89 (95%CI,1.08-3.32); age=70-79 years-aHR=2.52 (95%CI,1.42-4.45); age≥80-aHR=2.90 (95%CI 1.54-5.47)]; noninvasive or mechanical ventilation at admission [vs facial-mask or none; aHR=1.69 (95%CI 1.30-2.19)]; SAPS-III score≥57 [vs<57; aHR=1.47 (95%CI 1.13-1.92)] and SOFA score≥10 [vs <10; aHR=1.51 (95%CI 1.08-2.10)] were independently associated with in-hospital mortality. A total of 65 individuals [6.7% (95%CI 5.3-8.4)] had a rehospitalization or death [rate=323 (95%CI 250-417) per 1000 person-years] in a median time of 52 (range 1-280) days post-hospital discharge. Age ≥ 60 years [vs <60, aHR=2.13 (95%CI 1.15-3.94)] and SAPS-III ≥57 at admission [vs <57, aHR=2.37 (95%CI 1.22-4.59)] were independently associated with rehospitalization or death after hospital discharge. Interpretation: High in-hospital mortality rates due to COVID-19 were observed and elderly people remained at high risk of rehospitalization and death after hospital discharge. Funding: Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Programa INOVA-FIOCRUZ.

Hyperglycemia in hospitalized patients of a tertiary care hospital: prevalence and treatment in two cross-sectional evaluations (2011-2020)

ABSTRACT Objective: A study at Centro Hospitalar Universitário do Porto in 2011 revealed suboptimal control of inpatient hyperglycemia and a similar one was carried out in 2020. This study compares the results of 2011 and 2020 regarding prevalence of hyperglycemia, metabolic control, treatment and glycemic profile by infection/non-infection diagnosis. Subjects and methods: We performed two cross-sectional studies on 13th December 2011 and 9th October 2020 that included all non-critical adults with at least 24 hours of hospitalization, with no specific intervention between them. Glycemic control evaluated by minimum and maximum capillary blood glucose (CBG) in the previous day categorized as hypoglycemia (<70 mg/dL), normoglycemia (70-179 mg/dL) and hyperglycemia (≥180 mg/dL) (SPSS v.20). Results: A total of 418 and 445 patients were respectively included in 2011 and 2020 studies and the prevalence of hyperglycemia was similar. Glycemic control improved numerically although not significantly in 2020: increase in normoglycemia, reduction in hyperglycemia and reduction in hypoglycemia. There was an increase in the use of basal-bolus regimens (19.6% vs. 7.3%, p = 0.009) and a decrease in human basal (p < 0.01) and rapid-acting insulin use (p = 0.001) with a proportional increase in long-acting (p = 0.002) and rapid-acting analogs (p < 0.001) use. There was a higher prevalence of infection (39.8% vs. 23.1%, p = 0.006) in 2020 and, in the infection subgroup, there were higher insulinization rates (37.3% vs. 10.7%, p = 0.017) and a trend to glycemic control improvement. Conclusion: Despite the higher insulinization rates, the preference for new insulin analogs and a trend to better glycemic control, we have not yet reached targets, so education still remains necessary.