Prospective cohort study of patients with COVID-19 hospitalized in the Internal Medicine ward of Hospital Durand: study protocol

Fil: Melendi, Santiago E. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Pérez, María M. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Salas, Cintia E. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Aguirre, Camila. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Baleta, María L. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Balsano, Facundo J. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Caldano, Mariano G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Colignon, María G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Oliveira Brasil, Thayana De. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Wolodimeroff, Nicolás de. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Déramo Aquino, Andrea I. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Fernández de Córdova, Ana G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Fontan, María B. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Galvagno, Florencia I. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Haedo, Mariana F. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Iturrieta Araya, Noelia S. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Mollinedo Cruz,Volga S. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Olivero, Agustín. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Pestalardo, Ignacio. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Ricciardi, María. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Saltos Navarrete, Jandry D. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Vera Rueda, María L. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Villaverde, María C. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Xavier, Franco B. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Lauko, Marcela. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Ujeda, Carlos. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Leis, Rocío. Hospital General de Agudos Carlos G. Durand; Argentina.INTRODUCCIÓN: Conocer los predictores de mala evolución en pacientes con Enfermedad por Coronavirus 2019 (COVID-19) permite identificar de forma temprana a los pacientes con peor pronóstico, aportando mejores herramientas a la hora de tomar decisiones clínicas. Se presenta el protocolo de un estudio de cohorte cuyo objetivo principal es identificar factores de riesgo de infección severa, critica y mortalidad en pacientes con COVID-19 internados en el Servicio de Clínica Médica del Hospital Durand (Buenos Aires, Argentina). MÉTODOS: Estudio de cohorte prospectivo con base en un único centro. Se incluirá a todos los pacientes que ingresen al servicio de Clínica Médica con diagnóstico de COVID-19 durante el periodo de estudio. Se recolectarán las características epidemiológicas, clínicas, de laboratorio, radiológicas y los datos de tratamiento, al ingreso y al momento del alta o muerte hospitalaria. El evento final primario es la muerte en la internación; los eventos secundarios son el desarrollo de enfermedad grave y enfermedad crítica, la internación en unidad cerrada y el requerimiento de asistencia respiratoria mecánica

Prospective cohort study of patients with COVID-19 hospitalized in the Internal Medicine ward of Hospital Durand: study protocol

Fil: Melendi, Santiago E. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Pérez, María M. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Salas, Cintia E. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Aguirre, Camila. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Baleta, María L. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Balsano, Facundo J. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Caldano, Mariano G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Colignon, María G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Oliveira Brasil, Thayana De. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Wolodimeroff, Nicolás de. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Déramo Aquino, Andrea I. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Fernández de Córdova, Ana G. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Fontan, María B. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Galvagno, Florencia I. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Haedo, Mariana F. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Iturrieta Araya, Noelia S. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Mollinedo Cruz,Volga S. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Olivero, Agustín. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Pestalardo, Ignacio. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Ricciardi, María. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Saltos Navarrete, Jandry D. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Vera Rueda, María L. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Villaverde, María C. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Xavier, Franco B. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Lauko, Marcela. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Ujeda, Carlos. Hospital General de Agudos Carlos G. Durand; Argentina.Fil: Leis, Rocío. Hospital General de Agudos Carlos G. Durand; Argentina.INTRODUCCIÓN: Conocer los predictores de mala evolución en pacientes con Enfermedad por Coronavirus 2019 (COVID-19) permite identificar de forma temprana a los pacientes con peor pronóstico, aportando mejores herramientas a la hora de tomar decisiones clínicas. Se presenta el protocolo de un estudio de cohorte cuyo objetivo principal es identificar factores de riesgo de infección severa, critica y mortalidad en pacientes con COVID-19 internados en el Servicio de Clínica Médica del Hospital Durand (Buenos Aires, Argentina). MÉTODOS: Estudio de cohorte prospectivo con base en un único centro. Se incluirá a todos los pacientes que ingresen al servicio de Clínica Médica con diagnóstico de COVID-19 durante el periodo de estudio. Se recolectarán las características epidemiológicas, clínicas, de laboratorio, radiológicas y los datos de tratamiento, al ingreso y al momento del alta o muerte hospitalaria. El evento final primario es la muerte en la internación; los eventos secundarios son el desarrollo de enfermedad grave y enfermedad crítica, la internación en unidad cerrada y el requerimiento de asistencia respiratoria mecánica

Mortality from gastrointestinal congenital anomalies at 264 hospitals in 74 low-income, middle-income, and high-income countries: a multicentre, international, prospective cohort study

Summary Background Congenital anomalies are the fifth leading cause of mortality in children younger than 5 years globally. Many gastrointestinal congenital anomalies are fatal without timely access to neonatal surgical care, but few studies have been done on these conditions in low-income and middle-income countries (LMICs). We compared outcomes of the seven most common gastrointestinal congenital anomalies in low-income, middle-income, and high-income countries globally, and identified factors associated with mortality. Methods We did a multicentre, international prospective cohort study of patients younger than 16 years, presenting to hospital for the first time with oesophageal atresia, congenital diaphragmatic hernia, intestinal atresia, gastroschisis, exomphalos, anorectal malformation, and Hirschsprung’s disease. Recruitment was of consecutive patients for a minimum of 1 month between October, 2018, and April, 2019. We collected data on patient demographics, clinical status, interventions, and outcomes using the REDCap platform. Patients were followed up for 30 days after primary intervention, or 30 days after admission if they did not receive an intervention. The primary outcome was all-cause, in-hospital mortality for all conditions combined and each condition individually, stratified by country income status. We did a complete case analysis. Findings We included 3849 patients with 3975 study conditions (560 with oesophageal atresia, 448 with congenital diaphragmatic hernia, 681 with intestinal atresia, 453 with gastroschisis, 325 with exomphalos, 991 with anorectal malformation, and 517 with Hirschsprung’s disease) from 264 hospitals (89 in high-income countries, 166 in middleincome countries, and nine in low-income countries) in 74 countries. Of the 3849 patients, 2231 (58·0%) were male. Median gestational age at birth was 38 weeks (IQR 36–39) and median bodyweight at presentation was 2·8 kg (2·3–3·3). Mortality among all patients was 37 (39·8%) of 93 in low-income countries, 583 (20·4%) of 2860 in middle-income countries, and 50 (5·6%) of 896 in high-income countries (p<0·0001 between all country income groups). Gastroschisis had the greatest difference in mortality between country income strata (nine [90·0%] of ten in lowincome countries, 97 [31·9%] of 304 in middle-income countries, and two [1·4%] of 139 in high-income countries; p≤0·0001 between all country income groups). Factors significantly associated with higher mortality for all patients combined included country income status (low-income vs high-income countries, risk ratio 2·78 [95% CI 1·88–4·11], p<0·0001; middle-income vs high-income countries, 2·11 [1·59–2·79], p<0·0001), sepsis at presentation (1·20 [1·04–1·40], p=0·016), higher American Society of Anesthesiologists (ASA) score at primary intervention (ASA 4–5 vs ASA 1–2, 1·82 [1·40–2·35], p<0·0001; ASA 3 vs ASA 1–2, 1·58, [1·30–1·92], p<0·0001]), surgical safety checklist not used (1·39 [1·02–1·90], p=0·035), and ventilation or parenteral nutrition unavailable when needed (ventilation 1·96, [1·41–2·71], p=0·0001; parenteral nutrition 1·35, [1·05–1·74], p=0·018). Administration of parenteral nutrition (0·61, [0·47–0·79], p=0·0002) and use of a peripherally inserted central catheter (0·65 [0·50–0·86], p=0·0024) or percutaneous central line (0·69 [0·48–1·00], p=0·049) were associated with lower mortality. Interpretation Unacceptable differences in mortality exist for gastrointestinal congenital anomalies between lowincome, middle-income, and high-income countries. Improving access to quality neonatal surgical care in LMICs will be vital to achieve Sustainable Development Goal 3.2 of ending preventable deaths in neonates and children younger than 5 years by 2030

Reproducibility in the absence of selective reporting: An illustration from large‐scale brain asymmetry research

The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD&nbsp;=&nbsp;22.9%, min&nbsp;=&nbsp;22.2%, max&nbsp;=&nbsp;97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes