Ectopia cordis: prenatal diagnosis, perinatal outcomes, and postnatal follow-up of an international multicenter cohort case series

Objective: This study aimed to analyze prenatal diagnosis, perinatal outcomes, and postnatal follow-up in fetuses with ectopia cordis (EC). Methods: This retrospective analysis accessed 31 patients with EC who were either diagnosed or referred to a tertiary Fetal Medicine centers for EC diagnosis in Brazil, Germany, Italy, and Poland. We analyzed prenatal diagnosis, perinatal outcomes, and follow-up in these patients. Results: Our study included a cohort of 31 fetuses with EC, 4 and 27 of whom had partial and complete protrusion of the heart through a ventral defect in the thoracoabdominal wall, respectively. EC was diagnosed by fetal echocardiography at a mean gestational age of 20.3 ± 8.6 weeks (range, 8-35 weeks). Of the four cases, in which the karyotype was performed, all of them had a normal result (1 - 46,XX and 3 - 46,XY). Five patients showed conotruncal abnormalities and six ventricular septal defects. Termination of pregnancy (TOP) was performed in 15 cases (48%) and seven pregnant women had spontaneous fetal demise (22.5%). Of the seven fetuses that were born alive, four of them died, and three infants underwent surgery. Among these three infants, all of them survived, one was 5 months, 13 years old and 29 years old at the time of study completion. Conclusions: Ectopia cordis is associated with high mortality rates and intracardiac/extra-cardiac defects. Ventricular septal defects and conotruncal anomalies were the more common intracardiac defects associated with EC. However, in this cohort of fetuses with EC the incidence of PC was lower than reported in the literature

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

ABSTRACT: 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

Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients

Abstract Background Acute kidney injury (AKI) is frequently associated with COVID-19, and the need for kidney replacement therapy (KRT) is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting the need for KRT in hospitalised COVID-19 patients, and to assess the incidence of AKI and KRT requirement. Methods This study is part of a multicentre cohort, the Brazilian COVID-19 Registry. A total of 5212 adult COVID-19 patients were included between March/2020 and September/2020. Variable selection was performed using generalised additive models (GAM), and least absolute shrinkage and selection operator (LASSO) regression was used for score derivation. Accuracy was assessed using the area under the receiver operating characteristic curve (AUC-ROC). Results The median age of the model-derivation cohort was 59 (IQR 47–70) years, 54.5% were men, 34.3% required ICU admission, 20.9% evolved with AKI, 9.3% required KRT, and 15.1% died during hospitalisation. The temporal validation cohort had similar age, sex, ICU admission, AKI, required KRT distribution and in-hospital mortality. The geographic validation cohort had similar age and sex; however, this cohort had higher rates of ICU admission, AKI, need for KRT and in-hospital mortality. Four predictors of the need for KRT were identified using GAM: need for mechanical ventilation, male sex, higher creatinine at hospital presentation and diabetes. The MMCD score had excellent discrimination in derivation (AUROC 0.929, 95% CI 0.918–0.939) and validation (temporal AUROC 0.927, 95% CI 0.911–0.941; geographic AUROC 0.819, 95% CI 0.792–0.845) cohorts and good overall performance (Brier score: 0.057, 0.056 and 0.122, respectively). The score is implemented in a freely available online risk calculator ( https://www.mmcdscore.com/ ). Conclusions The use of the MMCD score to predict the need for KRT may assist healthcare workers in identifying hospitalised COVID-19 patients who may require more intensive monitoring, and can be useful for resource allocation