Socioeconomic factors and COVID-19 mortality in immune-mediated rheumatic diseases patients: regional analysis from Argentina, Mexico and Brazil.

BACKGROUND: SARS-CoV-2 infection has become a major international issue, not only from a medical point of view, but also social, economic and political. Most of the available information comes from the United States, Europe, and China, where the population and the socioeconomic status are very different from Latin American countries. This study evaluates the effect of regional socioeconomic characteristics on mortality due SARS-CoV-2 infection in patients with immune-mediated rheumatic diseases (IMRD) from Argentina, Mexico and Brazil. METHODS: Data from three national registries, SAR-COVID (Argentina), CMR-COVID (Mexico) and ReumaCoV-Brasil (Brazil), were combined. Adult IMRD patients with SARS-CoV-2 infection were recruited. National data for each province/state, including population density, number of physicians per inhabitant, income, unemployment, GINI index, Municipal Human Development Index (MHDI), stringency index, vaccination rate and most frequent viral strains per period were assessed as risk factors for mortality due to COVID-19. RESULTS: A total of 4744 patients were included, 2534 (53.4%) from SAR-COVID, 1166 (24.6%) from CMRCOVID and 1044 (22.0%) from ReumaCoV-Brasil. Mortality due to COVID-19 was 5.4%. In the multivariable analysis, higher number of physicians per 1000 inhabitants and being infected during the vaccination period of each country were associated with lower mortality. After adjustment for socioeconomic factors, there was no association with country of residence and mortality. CONCLUSION: These findings corroborate the complex interplay between socioeconomic factors, rheumatic disease activity, and regional disparities as determinants of death due to COVID-19 in Argentina, Brazil and Mexico. Thus, this research provides valuable insights for guiding public health policies and clinical practice in the ongoing fight against the COVID-19 pandemic.

Fatality from COVID-19 does not affect palliative care duration among patients with advanced cancer: a retrospective cohort study.

BACKGROUND: Jomar et al. demonstrated that death due to COVID-19 did not affect the time under exclusive palliative care among patients with advanced cancer, even during the first year of the pandemic caused by a hitherto little-known disease. BACKGROUND: ◼ Fatality due to COVID-19 does not alter the time under oncological palliative care. BACKGROUND: ◼ The retrospective design of this pioneering study allows causal inference. BACKGROUND: ◼ Access to oncological palliative care frequently approaches terminality of life. OBJECTIVE: This study aimed at investigating the extent to which COVID-19-induced fatalities affect the duration of palliative care among patients with advanced cancer. METHODS: A retrospective cohort study was conducted at the Palliative Care Unit of the Brazilian Instituto Nacional de Câncer in Rio de Janeiro, Brazil, on 1,104 advanced cancer patients who died under exclusive palliative care between March 11, 2020, and March 31, 2021. Wilcoxon rank-sum (Mann-Whitney U) and log-rank tests were performed to examine statistical differences between the medians of time, and the Kaplan-Meier estimator was used to graphically illustrate survival over time under exclusive palliative care contingent upon the underlying causes of death of the two experimental groups (cancer versus COVID-19). RESULTS: A total of 133 (12.05%) patients succumbed to COVID-19. In both groups, the median time under exclusive palliative care was less than one month. The exclusive palliative care survival curves did not exhibit any statistically significant difference between the groups. CONCLUSION: Death due to COVID-19 did not modify the duration of exclusive palliative care among patients with advanced cancer.

Acute kidney injury in coronavirus disease: a comparative study of the two waves in Brazil.

BACKGROUND: Magalhães et al. demonstrated that the incidence of acute kidney injury was high in hospitalized patients with COVID-19 and that the second wave was associated with greater severity; however, the mortality rates were similar between the two periods. This may reflect both the effectiveness of vaccines and the constant learning that frontline professionals gained throughout the pandemic to provide greater support to their patients. BACKGROUND: ◼ Renal involvement was frequent in patients with COVID-19 and related to worse outcomes. BACKGROUND: ◼ Diuretic use, mechanical ventilation, proteinuria, hematuria, age, and creatine phosphokinase and D-dimer levels were risk factors for acute kidney injury. BACKGROUND: ◼ Acute kidney injury, mechanical ventilation, elevated SOFA Score, and elevated ATN-ISS were associated with mortality. BACKGROUND: ◼ The second wave was associated with greater severity; however, the mortality rates were similar between the two periods. BACKGROUND: ◼ This may reflect the effectiveness of vaccines and the constant learning that frontline professionals gained throughout the pandemic. OBJECTIVE: This study aimed to evaluate the incidence of acute kidney injury in hospitalized Brazilian patients with COVID-19 and identify the risk factors associated with its development and prognosis during the two waves of the disease. METHODS: We performed a prospective cohort study of hospitalized patients with COVID-19 at a public university hospital in São Paulo from March 2020 to May 2021. RESULTS: Of 887 patients hospitalized with COVID-19, 54.6% were admitted to the intensive care unit. The incidence of acute kidney injury was 48.1%, and the overall mortality rate was 38.9%. Acute kidney replacement therapy was indicated for 58.8% of the patients. The factors associated with acute kidney injury were diuretic use (odds ratio [OR] 2.2, 95%CI= 1.2-4.1, p=0.01), mechanical ventilation (OR= 12.9, 95%CI= 4.3-38.2, p<0.0001), hematuria(OR= 2.02, 95%CI= 1.1-3.5, p<0.0001), chronic kidney disease (OR= 2.6, 95%CI= 1.2-5.5, p=0.009), age (OR= 1.03, 95%CI= 1.01-1.07, p=0.02), and elevated creatine phosphokinase (OR= 1.02, 95%CI= 1.01-1.07, p=0.02) and D-dimer levels (OR= 1.01, 95%CI= 1.01-1.09, p<0.0001). Mortality was higher among those with acute kidney injury (OR= 1.12, 95%CI= 1.02-2.05, p=0.01), elevated Sequential Organ Failure Assessment Scores (OR= 1.35, 95%CI= 1.1-1.6, p=0.007), elevated Acute Tubular Necrosis-Injury Severity Score (ATN-ISS; (OR= 96.4, 95%CI= 4.8-203.1, p<0.0001), and who received mechanical ventilation (OR= 12.9, 95%CI= 4.3-38.2, p<0.0001). During the second wave, the number of cases requiring mechanical ventilation (OR= 1.57, 95%CI= 1.01-2.3, p=0.026), with proteinuria (OR= 1.44, 95%CI= 1.01-2.1, p=0.04), and with higher ATN-ISS Scores (OR= 40.9, 95%CI= 1.7-48.1, p=0.04) was higher than that during the first wave. CONCLUSION: Acute kidney injury was frequent in hospitalized patients with COVID-19, and the second wave was associated with greater severity. However, mortality rates were similar between the two periods, which may reflect both the effectiveness of vaccines and the constant learning that frontline professionals gained throughout the pandemic to provide greater support to their patients. REGISTRY OF CLINICAL TRIALS: RBR-62y3h7.

Association of Vitamin D and magnesium levels with severity and mortality in patients with COVID-19.

OBJECTIVE: The study aimed to determine the association between serum magnesium and Vitamin D levels with the severity and mortality by coronavirus disease 19 (COVID-19) in hospitalized patients. METHOD: Men and women over 18 years of age with probable COVID-19 were enrolled in a case-control study. Patients with a positive or negative test for Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were allocated into case or control groups, respectively. Vitamin D deficiency was defined by concentrations < 20 ng/mL and hypomagnesemia by serum levels < 1.8 mg/dL. RESULTS: A total of 54 patients, 30 women and 24 men, were enrolled and allocated into the groups with (n = 27) and without (n = 27) COVID-19. The logistic regression analysis showed that Vitamin D deficiency (odds ratio [OR] = 6.13; 95% confidence intervals [CI]: 1.32-28.34) and insufficiency (OR = 0.12; 95% CI: 0.02-0.60) are significantly associated with hospitalization. However, Vitamin D disorders and hypomagnesemia were not associated with mortality. CONCLUSIONS: The results of the present study revealed that Vitamin D disturbances, but not hypomagnesemia, are associated with the severity of SARS-CoV-2.

OBJETIVO: Determinar la asociación entre los niveles séricos de vitamina D y de magnesio con la gravedad y la mortalidad de la COVID-19 en pacientes hospitalizados. MÉTODO: Hombres y mujeres mayores de 18 años con probable COVID-19 fueron enrolados en un estudio de casos y controles. Los pacientes con una prueba positiva o negativa para SARS-CoV-2 fueron asignados en los grupos de casos y de controles, respectivamente. RESULTADOS: Un total de 54 pacientes, 30 mujeres y 24 hombres, fueron enrolados y asignados a los grupos COVID-19 (n = 27) y control (n = 27). El análisis de regresión logística mostró que la deficiencia de vitamina D (odds ratio [OR]: 6.13; intervalo de confianza del 95% [IC95%]: 1.32-28.34) y la insuficiencia de vitamina D (OR: 0.12; IC95%: 0.02-0.60) se asocian significativamente con hospitalización. Sin embargo, las alteraciones de la vitamina D y la hipomagnesemia no se asociaron con mortalidad. CONCLUSIONES: Los resultados del presente estudio revelaron que las alteraciones de la vitamina D, pero no la hipomagnesemia, se asocian con la gravedad de la COVID-19.

Acute kidney injury and mortality in patients with critical COVID-19 in Mexico: case-control study.

OBJECTIVE: We aimed to test the association between acute kidney injury (AKI) and mortality in critically ill patients with Coronavirus disease 2019 (COVID-19). METHOD: We conducted a single-center case-control study at the intensive care unit (ICU) of a second-level hospital in Mexico. We included 100 patients with critical COVID-19 from January to December 2021, and collected demographic characteristics, comorbidities, APACHE II, SOFA, NEWS2, and CO-RADS scores at admission, incidence of intrahospital complications, length of hospital and ICU stay, and duration of mechanical ventilation, among others. RESULTS: The median survival of deceased patients was 20 days. After multivariable logistic regression, the following variables were significantly associated to mortality: AKI (adjusted odds ratio [AOR] 6.64, 95% confidence intervals [CI] = 2.1-20.6, p = 0.001), age > 55 years (AOR 5.3, 95% CI = 1.5-18.1, p = 0.007), and arrhythmias (AOR 5.15, 95% CI = 1.3-19.2, p = 0.015). Median survival was shorter in patients with AKI (15 vs. 22 days, p = 0.043), as well as in patients with overweight/obesity (15 vs. 25 days, p = 0.026). CONCLUSION: Our findings show that the development of AKI was the main risk factor associated with mortality in critical COVID-19 patients, while other factors such as older age and cardiac arrhythmias were also associated with this outcome. The management of patients with COVID-19 should include renal function screening and staging on admission to the Emergency Department.

OBJETIVO: Probar la asociación entre lesión renal aguda y mortalidad en pacientes con COVID-19 grave. MÉTODO: Realizamos un estudio de casos y controles unicéntrico en la unidad de cuidados intensivos (UCI) de un hospital de segundo nivel en México. Incluimos 100 pacientes con COVID-19 grave de enero a diciembre 2021, recolectando características demográficas, comorbilidad, APACHE II, SOFA, NEWS2 y CO-RADS al ingreso, incidencia de complicaciones intrahospitalarias, duración de la estancia hospitalaria y en la UCI, duración de ventilación mecánica, etc. RESULTADOS: La mediana de supervivencia de los pacientes que fallecieron fue de 20 días. Al realizar el análisis de regresión logística multivariable, las siguientes variables se asociaron significativamente con la mortalidad: lesión renal aguda (odds ratio ajustada [ORa]: 6.64; intervalo de confianza del 95% [IC95%]: 2.1-20.6; p = 0.001), edad > 55 años (ORa: 5.3; IC95%: 1.5-18.1; p = 0.007) y arritmias (ORa: 5.15; IC95%: 1.3-19.2; p = 0.015). La supervivencia fue menor en pacientes con lesión renal aguda (15 vs. 22 días; p = 0,043), así como en pacientes con sobrepeso u obesidad (15 vs. 25 días; p = 0.026). CONCLUSIONES: Nuestros resultados muestran que el desarrollo de lesión renal aguda es el principal factor de riesgo asociado a mortalidad en pacientes con COVID-19 grave, mientras que otros factores, como la edad > 55 años y la presencia de arritmias cardiacas, también se asocian a mortalidad por COVID-19. El manejo de pacientes con COVID-19 debe incluir el tamizaje y la estadificación de la función renal al ingreso a urgencias.

Advancing insights in critical COVID-19: unraveling lymphopenia through propensity score matching - Findings from the Multicenter LYMPH-COVID Study.

OBJECTIVE: To elucidate the impact of lymphopenia on critical COVID-19 patient outcomes. METHODS: We conducted a multicenter prospective cohort study across five hospitals in Portugal and Brazil from 2020 to 2021. The study included adult patients admitted to the intensive care unit with SARS-CoV-2 pneumonia. Patients were categorized into two groups based on their lymphocyte counts within 48 hours of intensive care unit admission: the Lymphopenia Group (lymphocyte serum count < 1 × 109/L) and the Nonlymphopenia Group. Multivariate logistic regression, propensity score matching, Kaplan‒Meier survival curve analysis and Cox proportional hazards regression analysis were used. RESULTS: A total of 912 patients were enrolled, with 191 (20.9%) in the Nonlymphopenia Group and 721 (79.1%) in the Lymphopenia Group. Lymphopenia patients displayed significantly elevated disease severity indices, including Sequential Organ Failure Assessment and Simplified Acute Physiology Score 3 scores, at intensive care unit admission (p = 0.001 and p < 0.001, respectively). Additionally, they presented heightened requirements for vasopressor support (p = 0.045) and prolonged intensive care unit and in-hospital stays (both p < 0.001). Multivariate logistic regression analysis after propensity score matching revealed a significant contribution of lymphopenia to mortality, with an odds ratio of 1,621 (95%CI: 1,275 - 2,048; p < 0.001). Interaction models revealed an increase of 8% in mortality for each decade of longevity in patients with concomitant lymphopenia. In the subanalysis utilizing three-group stratification, the Severe Lymphopenia Group had the highest mortality rate, not only in direct comparisons but also in Kaplan‒Meier survival analysis (log-rank test p = 0.0048). CONCLUSION: Lymphopenia in COVID-19 patients is associated with increased disease severity and an increased risk of mortality, underscoring the need for prompt support for critically ill high-risk patients. These findings offer important insights into improving patient care strategies for COVID-19 patients.

Time series analysis of comprehensive maternal deaths in Brazil during the COVID-19 pandemic.

The effects of the COVID-19 pandemic on comprehensive maternal deaths in Brazil have not been fully explored. Using publicly available data from the Brazilian Mortality Information (SIM) and Information System on Live Births (SINASC) databases, we used two complementary forecasting models to predict estimates of maternal mortality ratios using maternal deaths (MMR) and comprehensive maternal deaths (MMRc) in the years 2020 and 2021 based on data from 2008 to 2019. We calculated national and regional standardized mortality ratio estimates for maternal deaths (SMR) and comprehensive maternal deaths (SMRc) for 2020 and 2021. The observed MMRc in 2021 was more than double the predicted MMRc based on the Holt-Winters and autoregressive integrated moving average models (127.12 versus 60.89 and 59.12 per 100,000 live births, respectively). We found persisting sub-national variation in comprehensive maternal mortality: SMRc ranged from 1.74 (95% confidence interval [CI] 1.64, 1.86) in the Northeast to 2.70 (95% CI 2.45, 2.96) in the South in 2021. The observed national estimates for comprehensive maternal deaths in 2021 were the highest in Brazil in the past three decades. Increased resources for prenatal care, maternal health, and postpartum care may be needed to reverse the national trend in comprehensive maternal deaths.

Prospective Variation of Cytokine Trends during COVID-19: A Progressive Approach from Disease Onset until Outcome.

COVID-19 is characterized by pronounced hypercytokinemia. The cytokine switch, marked by an imbalance between pro-inflammatory and anti-inflammatory cytokines, emerged as a focal point of investigation throughout the COVID-19 pandemic. However, the kinetics and temporal dynamics of cytokine release remain contradictory, making the development of new therapeutics difficult, especially in severe cases. This study collected serum samples from SARS-CoV-2 infected patients at 72 h intervals and monitored them for various cytokines at each timepoint until hospital discharge or death. Cytokine levels were analyzed based on time since symptom onset and patient outcomes. All cytokines studied prospectively were strong predictors of mortality, particularly IL-4 (AUC = 0.98) and IL-1ß (AUC = 0.96). First-timepoint evaluations showed elevated cytokine levels in the mortality group (p < 0.001). Interestingly, IFN-γ levels decreased over time in the death group but increased in the survival group. Patients who died exhibited sustained levels of IL-1ß and IL-4 and increased IL-6 levels over time. These findings suggest cytokine elevation is crucial in predicting COVID-19 mortality. The dynamic interplay between IFN-γ and IL-4 highlights the balance between Th1/Th2 immune responses and underscores IFN-γ as a powerful indicator of immune dysregulation throughout the infection.

Trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, 2020-2022.

OBJECTIVE: To analyze the incompleteness and trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death, in Brazil, between April 2020 and April 2022. METHODS: Ecological time series study on the incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, its macro-regions and Federative Units (FU), by joinpoint regression, calculation of Monthly Percent Change (MPC) and Average Monthly Percent Change (AMPC), based on data from the Hospital Information System of the Unified Health System (SIH/SUS). RESULTS: The incompleteness of the race/color variable in COVID-19 hospitalizations with a death outcome in Brazil was 25.85%, considered poor. All regions of the country had a poor degree of incompleteness, except for the South, which was considered regular. In the period analyzed, the joinpoint analysis revealed a stable trend in the incompleteness of the race/color variable in Brazil (AMPC = 0.54; 95%CI: -0.64 to 1.74; p = 0.37) and in the Southeast (AMPC = -0.61; 95%CI: -3.36 to 2.22; p = 0.67) and North (AMPC = 3.74; 95%CI: -0.14 to 7.78; p = 0.06) regions. The South (AMPC = 5.49; 95%CI: 2.94 to 8.11; p = 0.00002) and Northeast (AMP = 2.50; 95%CI: 0.77 to 4.25; p = 0.005) regions showed an increase in the incompleteness trend, while the Midwest (AMPC = -2.91 ; 95%CI: -5.26 to -0.51; p = 0.02) showed a downward trend. CONCLUSION: The proportion of poor completeness and the stable trend of incompleteness show that there was no improvement in the quality of filling in the race/color variable during the COVID-19 pandemic in Brazil, a fact that may have increased health inequalities for the black population and made it difficult to plan strategic actions for this population, considering the pandemic context. The results found reinforce the need to encourage discussion on the subject, given that the incompleteness of health information systems increases inequalities in access to health services and compromises the quality of health data.

Effect of sodium-glucose co-transporter-2 inhibitors on survival free of organ support in patients hospitalised for COVID-19 (ACTIV-4a): a pragmatic, multicentre, open-label, randomised, controlled, platform trial.

BACKGROUND: Patients hospitalised for COVID-19 are at risk for multiorgan failure and death. Sodium-glucose co-transporter-2 (SGLT2) inhibitors provide cardiovascular and kidney protection in patients with cardiometabolic conditions and could provide organ protection during COVID-19. We aimed to investigate whether SGLT2 inhibitors can reduce the need for organ support in patients hospitalised for COVID-19. METHODS: This pragmatic, multicentre, open-label, randomised, controlled, platform trial was conducted across 63 sites in the USA, Spain, Brazil, Italy, and Mexico. Patients aged at least 18 years hospitalised for COVID-19 (moderate or severe illness) were randomly assigned (1:1), via an interactive voice system or web-response system, to receive locally available SGLT2 inhibitor (administered orally, once daily) plus standard-of-care or standard-of-care for 30 days. The primary outcome was organ support-free days evaluated through 21 days, assessed using intention-to-treat approach. This trial is registered on ClinicalTrials.gov, NCT04505774. FINDINGS: The first patient was randomly assigned to the SGLT2 inhibitor domain on Dec 3, 2021. On March 31, 2023, at the recommendation of the data and safety monitoring board, enrolment in the SGLT2 inhibitor domain for both moderately and severely ill hospitalised patients was stopped prematurely for futility due to a low likelihood of finding a treatment benefit. The final randomised population consisted of 575 patients (mean age 72 years [SD 13], 242 (42%) female and 154 (27%) Hispanic; 504 in the moderate illness group and 71 in the severe illness group). 573 patients had a known 21-day outcome; 215 (75%) of 285 patients in the SGLT2 inhibitor plus standard-of-care group did not require respiratory or cardiovascular organ support versus 231 (80%) of 288 patients in the standard-of-care group. The adjusted odds ratio (OR) for an SGLT2 inhibitor effect on organ support-free days was 0·74 (95% Credible Interval [CrI] 0·48-1·13; where OR higher than 1 indicated treatment benefit, yielding a posterior probability of futility P(OR <1·2) of 99% and a posterior probability of inferiority P(OR<1·0) of 91%). There were 37 deaths (13%) in the SGLT2 inhibitor plus standard-of-care group and 42 deaths (15%) in the standard-of-care group at 90 days (hazard ratio 0·91 [95% CrI 0·58-1·43], probability of hazard ratio <1 of 66%). No safety concerns were observed with SGLT2 inhibitors, including no cases of ketoacidosis. INTERPRETATION: SGLT2 inhibitors did not significantly increase days free of organ support or reduce mortality in patients hospitalised with COVID-19. SGLT2 inhibitors were well tolerated with no observed safety concerns. Overall, these findings do not support the use of SGLT2 inhibitors as standard care in patients hospitalised with COVID-19. FUNDING: National Institutes of Health.

Pentraxin-3 (PTX-3) as a potential biomarker for predicting death in hospitalized patients with COVID-19.

BACKGROUND: Pentraxin 3 (PTX3) is an acute-phase protein that belongs to the pentraxin family, which plays an important role in the body's defense against pathogens. PTX3 levels have been associated with inflammatory processes, and it is a possible biomarker for the diagnosis and prognosis of different infectious diseases, including COVID-19. The objective of this study was to analyze the potential of PTX3 as a plasma biomarker for predicting death in patients hospitalized with COVID-19. METHODS: The study included a total of 312 patients with COVID-19, admitted from July 2020 to August 2021 to hospital ward and intensive care unit beds at two hospitals in the Northeast Region of Brazil. PTX3 was measured using ELISA in samples collected within 24 h after hospital admission. Maximally selected rank statistics were used to determine the PTX3 cutoff point that best distinguished patients who died from those who survived. A receiver operating characteristic (ROC) curve was used to determine the performance of the biomarker. Survival analysis was performed using a Kaplan-Meier curve, and a Cox regression model was used to determine predictors associated with death. RESULTS: Of the 312 patients included in the study, 233 recovered and 79 died. Patients who died had higher PTX3 levels at the time of admission, when compared to those who recovered (median: 52.84 versus 10.79 ng/mL; p < 0.001). PTX3 showed area under the ROC (AUC) = 0.834, higher than other markers used in clinical practice, such as C-reactive protein (AUC = 0.72) and D-dimer (AUC = 0.77). Furthermore, according to the Kaplan-Meier survival curve, patients with PTX3 concentrations above the cutoff point (27.3 ng/mL) had a lower survival rate (p = 0.014). In multivariate Cox regression, PTX3 > 27.3 ng/mL was an important predictor of death, regardless of other confounding factors (hazard ratio = 1.79; p = 0.027). CONCLUSION: PTX3 can be considered as a potential biomarker for predicting death in patients hospitalized with COVID-19.

Evaluation of d-dimer as outcome biomarker in COVID-19 acute respiratory distress patients.

Acute respiratory distress syndrome is a significant complication in critical care patients. COVID-19 (C19)-associated severe respiratory failure is related to it, and d-dimer rise predicts a worse outcome. To investigate the association between d-dimer and the severity of this respiratory syndrome, we conducted a study in C19 intubated patients. A retrospective, single-center observational study was conducted with 64 C19 adult intubated patients. Strata of d-dimer results between patients was evaluated using survival analysis. Survival was higher in mild respiratory distress patients. D-dimer showed poor sensitivity and specificity in predicting respiratory failure severity. Risk assessment for death showed a higher prevalence of admission d-dimer results (HR 1.335; 95% CI 0.695-2.564). Our sample confidently represented the medical profile of C19 severe patients. Sepsis development in C19 is associated with the inflammatory storm in respiratory distress syndrome. As the receiver operating curves show, the increase in d-dimer results is consistent with inflammation rather than a prognostic biomarker. As expected, severe respiratory distress patients presented higher mortality. In summary, d-dimer results are not associated with the prognosis of C19 respiratory distress syndrome patients.

Assistance time and peripheral oxygen saturation in prehospital emergency data as predictors of COVID19 hospital outcomes.

To verify if data obtained in the prehospital evaluation of patients with severe acute respiratory syndrome (SARS) during the initial response to the COVID-19 pandemic is associated with clinical outcomes: mechanical ventilation, hospital discharge, and death. This is a retrospective analysis involving secondary data from the Emergency Medical Service (EMS) records and the Health Surveillance Information System of patients assisted by the EMS in Manaus, from January to June 2020, the period of the first peak of COVID-19 cases. The combination of the two databases yielded a total of 1.190 patients, who received a first EMS response and were later admitted to hospital with SARS and had data on clinical outcomes of interest available. Patients were predominantly male (754, 63.4%), with a median age of 66 (IQR: 54.0-78.0) years. SARS illness before medical assistance was associated to need for invasive mechanical ventilation (IMV, p < 0.001). Lower pre-hospital SpO2 was associated to death (p = 0.025). Death was more common among patients with respiratory support needs, especially in the invasive ventilation group (262/287; 91.3%) (p < 0.001). In addition, IMV was more common among elderly individuals (p < 0.001). Patients admitted to ICU had a greater chance of dying when compared to non-ICU admitted patients (p < 0.001), and closely related to IMV (p < 0.001). Patients in ICU were also older (p = 0.003) and had longer hospital stay (p < 0.001). Mortality was associated with mechanical ventilation (p < 0.001), ICU admission (p < 0.001), and older age (p < 0.001). Patients who died had a shorter length of both ICU and total hospital stay (p < 0.001). Prehospital EMS may provide feasible and early recognition of critical patients with SARS in strained healthcare systems, such as in low-resource settings and pandemics.

Impact of the COVID-19 pandemic on cancer mortality in Brazil.

BACKGROUND: In the first year of the COVID-19 pandemic, data projections indicated an increase in cancer mortality for the following years due to the overload of health services and the replacement of health priorities. The first studies published with data from mortality records have not confirmed these projections. However, cancer mortality is not an outcome that occurs immediately, and analyses with more extended follow-up periods are necessary. This study aims to analyze the impact of the COVID-19 pandemic on the mortality from all types and the five most common types of cancer in Brazil and investigate the relationship between the density of hospital beds and mortality from COVID-19 in cancer patients in Brazil's Intermediate Geographic Regions (RGIs). METHODS: The Brazilian Mortality Information System provided data on the deaths from trachea, bronchus, and lung, colorectal, stomach, female breast, and prostate cancer and all types of cancer, and from COVID-19 in individuals who had cancer as a contributing cause of death. Predicted rates for 2020-2022 were compared with the observed ones, through a rate ratio (RR). An association analysis, through multivariate linear regression, was carried out between mortality from COVID-19 in cancer patients, the rate of hospital beds per 100,000 inhabitants, and the Human Development Index of the 133 RGIs of Brazil. RESULTS: In 2020, 2021, and 2022, mortality from all cancers in Brazil was lower than expected, with an RR of 0.95, 0.94, and 0.95, respectively, between the observed and predicted rates. Stomach cancer showed the largest difference between observed and expected rates: RR = 0.89 in 2020 and 2021; RR = 0.88 in 2022. Mortality from COVID-19 in cancer patients, which reached its peak in 2021 (6.0/100,000), was negatively associated with the density of hospital beds in the public health system. CONCLUSIONS: The lower-than-expected cancer mortality during 2020-2022 seems to be partly explained by mortality from COVID-19 in cancer patients, which was probably underestimated in Brazil. The findings suggested a protective role of the availability of hospital care concerning deaths due to COVID-19 in this population. More extensive follow-up is needed to understand the impact of the COVID-19 pandemic on cancer mortality.

Maternal mortality in Brazil: an analysis of temporal trends and spatial clustering. / Mortalidade materna no Brasil: análise de tendências temporais e agrupamentos espaciais.

This article aims to analyze spatial and temporal patterns of maternal mortality in Brazil during the period 2010-2020 and identify related socioeconomic indicators. We conducted an ecological study of the maternal mortality ratio (MMR) in Brazil's municipalities using secondary data. Temporal analysis was performed using the joinpoint method. Bayesian statistics, spatial autocorrelation, the Getis Ord Gi* technique and the scan statistic were used to identify spatial clusters, and multiple non-spatial and spatial regression models were used to assess the association between factors and the MMR. There was an increase in the MMR in 2020 and an increase in deaths in the North and Southeast. Clusters were found in Amazonas, Tocantins, Piauí, Maranhão, Bahia and Mato Grosso do Sul. The following indicators were negatively associated with the MMR: cesarean section rate, Municipal Human Development Index, and per capita household income of people who are vulnerable to poverty. The MMR was stable up to 2019, followed by a sharp rise in 2020 coinciding with the onset of the Covid-19 pandemic in the country. It is essential that efforts to reduce maternal mortality in Brazil extend beyond the promotion of improvements in antenatal, childbirth and postpartum care to address the social determinants of the problem.

O objetivo do artigo é analisar o padrão espacial e temporal e identificar indicadores socioeconômicos relacionados à razão de mortalidade materna (RMM) no Brasil de 2010 a 2020. Estudo ecológico que analisou a RMM nos municípios do Brasil, utilizando dados secundários. Para análise temporal, utilizou-se o método joinpoint. Para a identificação de aglomerados espaciais, utilizou-se estatística bayesiana, autocorrelação espacial, a técnica Getis Ord Gi* e a varredura scan. Para a identificação dos fatores associados à RMM, foram adotados modelos múltiplos de regressão não espacial e espacial. Observou-se aumento da RMM de 2019 para 2020. Houve crescimento de óbitos nas regiões Norte e Sudeste. Os clusters foram encontrados no Amazonas, Tocantins, Piauí, Maranhão, Bahia e Mato Grosso do Sul. Estão negativamente relacionados à RMM os seguintes indicadores: taxa de parto cesáreo, índice de desenvolvimento humano municipal e renda domiciliar per capita dos vulneráveis à pobreza. Embora a tendência temporal tenha se mostrado constante até 2019, a RMM apresentou crescimento no ano de início da pandemia de COVID-19 no país. A redução da MM no Brasil vai além da promoção de melhorias na assistência gravídico-puerperal, sendo fundamental focar também nos determinantes sociais do problema.

Comprehensive statistical analysis reveals significant benefits of COVID-19 vaccination in hospitalized patients: propensity score, covariate adjustment, and feature importance by permutation.

BACKGROUND: COVID-19 vaccines effectively prevent infection and hospitalization. However, few population-based studies have compared the clinical characteristics and outcomes of patients hospitalized for COVID-19 using advanced statistical methods. Our objective is to address this evidence gap by comparing vaccinated and unvaccinated patients hospitalized for COVID-19. METHODS: This retrospective cohort included adult COVID-19 patients admitted from March 2021 to August 2022 from 27 hospitals. Clinical characteristics, vaccination status, and outcomes were extracted from medical records. Vaccinated and unvaccinated patients were compared using propensity score analyses, calculated based on variables associated with vaccination status and/or outcomes, including waves. The vaccination effect was also assessed by covariate adjustment and feature importance by permutation. RESULTS: From the 3,188 patients, 1,963 (61.6%) were unvaccinated and 1,225 (38.4%) were fully vaccinated. Among these, 558 vaccinated individuals were matched with 558 unvaccinated ones. Vaccinated patients had lower rates of mortality (19.4% vs. 33.3%), invasive mechanical ventilation (IMV-18.3% vs. 34.6%), noninvasive mechanical ventilation (NIMV-10.6% vs. 22.0%), intensive care unit admission (ICU-32.0% vs. 44.1%) vasoactive drug use (21.1% vs. 32.6%), dialysis (8.2% vs. 14.7%) hospital length of stay (7.0 vs. 9.0 days), and thromboembolic events (3.9% vs.7.7%), p < 0.05 for all. Risk-adjusted multivariate analysis demonstrated a significant inverse association between vaccination and in-hospital mortality (adjusted odds ratio [aOR] = 0.42, 95% confidence interval [CI]: 0.31-0.56; p < 0.001) as well as IMV (aOR = 0.40, 95% CI: 0.30-0.53; p < 0.001). These results were consistent in all analyses, including feature importance by permutation. CONCLUSION: Vaccinated patients admitted to hospital with COVID-19 had significantly lower mortality and other severe outcomes than unvaccinated ones during the Delta and Omicron waves. These findings have important implications for public health strategies and support the critical importance of vaccination efforts, particularly in low-income countries, where vaccination coverage remains suboptimal.

COVID-19 inpatient care performance in the unified health system, São Paulo state, Brazil: an application of standardized mortality ratio for hospitals' comparisons : COVID-19 inpatient care performance in SUS, Brazil.

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.

Epidemic curves and the profile of patients hospitalized by COVID-19 in a border region.

OBJECTIVE: to describe the epidemic curves and analyze the epidemiological profile of patients hospitalized with COVID-19 in a triple border city. METHOD: descriptive-quantitative. The population consisted of COVID-19 cases that required hospitalization, analyzing variables such as: age, gender, race/color, city where they lived, occupation, pregnant woman, institutionalized patient and evolution. Descriptive statistical analysis and analysis of variance and chi-square tests were used. RESULTS: four epidemic curves were identified in the studied period. Among hospitalized cases, males predominated (55%). Cure was the most frequent outcome in curves 1, 2 and 4, but with no statistical difference (p = 0.2916). Curve 3 showed a higher frequency of deaths (41.70%) in relation to cures (38.77%). The mean ages were significantly different between the curves, with curve 4 having the lowest mean age. CONCLUSION: it was concluded that the epidemic curves were influenced by different situations; unvaccinated population, easing of restrictive measures, reopening of the Brazil-Paraguay border, interruption of control actions, crowding of people and circulation of new variants of the disease. Through the epidemiological profile of hospitalized patients, it was concluded that being male, of mixed race/color, aged between 61 and 85 years, and being deprived of freedom were associated with hospitalization and the occurrence of death.

Predictive biomarkers of mortality in patients with severe COVID-19 hospitalized in intensive care unit.

Objectives: This study was performed to identify predictive markers of worse outcomes in patients with severe COVID-19 in an intensive care unit. Methods: Sixty patients with severe COVID-19, hospitalized in the Intensive Care Unit (ICU) between March and July 2021, were stratified into two groups according to the outcome survivors and non-survivors. After admission to the ICU, blood samples were collected directly for biomarker analysis. Routine hematological and biochemical biomarkers, as well as serum levels of cytokines, chemokines, and immunoglobulins, were investigated. Results: Lymphopenia, neutrophilia, and thrombocytopenia were more pronounced in non-surviving patients, while the levels of CRP, AST, creatinine, ferritin, AST, troponin I, urea, magnesium, and potassium were higher in the non-surviving group than the survival group. In addition, serum levels of IL-10, CCL2, CXCL9, and CXCL10 were significantly increased in patients who did not survive. These changes in the biomarkers evaluated were associated with increased mortality in patients with severe COVID-19. Conclusion: The present study confirmed and expanded the validity of laboratory biomarkers as indicators of mortality in severe COVID-19.