A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn.

The use of routine point-of-care ultrasound (POCUS) is increasing in neonatal intensive care units (NICUs), with several centers advocating for 24 h equipment availability. In 2018, the sonographic algorithm for life-threatening emergencies (SAFE) protocol was published, which allows the assessment of neonates with sudden decompensation to identify abnormal contractility, tamponade, pneumothorax, and pleural effusion. In the study unit (with a consulting neonatal hemodynamics and POCUS service), the algorithm was adapted by including consolidated core steps to support at-risk newborns, aiding clinicians in managing cardiac arrest, and adding views to verify correct intubation. This paper presents a protocol that can be applied in the NICU and the delivery room (DR) in relation to three scenarios: cardiac arrest, hemodynamic deterioration, or respiratory decompensation. This protocol can be performed with a state-of-the-art ultrasound machine or an affordable handheld device; the image acquisition protocol is carefully detailed. This method was designed to be learned as a general competence to obtain the timely diagnosis of life-threatening scenarios; the method aims to save time but does not represent a substitute for comprehensive and standardized hemodynamic and radiological analyses by a multidisciplinary team, which might not universally be on call but needs to be involved in the process. From January 2019 to July 2022, in our center, 1,045 hemodynamic consultation/POCUS consults were performed with 25 patients requiring the modified SAFE protocol (2.3%), and a total of 19 procedures were performed. In five cases, trained fellows on call resolved life-threatening situations. Clinical examples are provided that show the importance of including this technique in the care of critical newborns.

COVID-19 epidemiology in a Mexican tertiary care hospital.

INTRODUCTION: As a result of COVID-19, many hospitals underwent a conversion for the care for this disease. OBJECTIVE: To analyze COVID-19 hospital epidemiological behavior from March to August 2020. METHODS: Through a series of cases, COVID-19 epidemiological behavior at the hospital was analyzed, for which simple case rates, percentages and incidence of COVID-19 per 100 hospital discharges were estimated. RESULTS: Out of 491 subjects who tested positive for SARS-CoV-2, 156 (31.7 %) were hospitalized for clinical data of moderate to severe disease. Average age was 59.1 years; 121 cases (75 %) were discharged due to improvement, and 32 (20.5 %), due to death. Average age of those who died was 69.7 years, and the most affected age group was 60 to 80 years (45.4 %). Calculated lethality was 20.5 per 100 hospital discharges, while that calculated taking into account positive patients (outpatients and hospitalized patients) was 6.5. CONCLUSIONS: COVID-19 epidemiological behavior was similar to that described in other studies; however, lethality and mortality are above national average. The analysis of this and of the factors that favored it in our population is pending.

INTRODUCCIÓN: A consecuencia de COVID-19, numerosos hospitales sufrieron una reconversión para la atención de esta enfermedad. OBJETIVO: Analizar el comportamiento epidemiológico hospitalario de COVID-19 entre marzo y agosto de 2020. MÉTODOS: En una serie de casos se analizó el comportamiento epidemiológico de COVID-19 en un hospital de tercer nivel, para lo cual se estimaron frecuencias simples de casos, porcentajes e incidencia por cada 100 egresos hospitalarios. RESULTADOS: De 491 sujetos con prueba positiva para SARS-CoV-2, 156 (31.7 %) fueron hospitalizados por datos clínicos de enfermedad moderada a grave. La edad promedio fue de 59.1 años; 121 casos (75 %) egresaron por mejoría y 32 (20.5 %), por defunción. El promedio de edad de quienes fallecieron fue de 69.7 años y el grupo etario más afectado fue el de 60 a 80 años (45.4 %). La letalidad calculada fue de 20.5 por 100 egresos hospitalarios, mientras que la calculada tomando en cuenta los pacientes positivos (ambulatorios y hospitalizados) fue de 6.5. CONCLUSIONES: El comportamiento epidemiológico de COVID-19 fue similar al descrito en otros estudios; sin embargo, la letalidad y la mortalidad están por encima de la media nacional. Está pendiente el análisis de estas y de los factores que las favorecieron en nuestra población.

Epidemiología de COVID-19 en un hospital de tercer nivel mexicano / COVID-19 epidemiology in a Mexican tertiary care hospital

Resumen Introducción: A consecuencia de COVID-19, numerosos hospitales sufrieron una reconversión para la atención de esta enfermedad. Objetivo: Analizar el comportamiento epidemiológico hospitalario de COVID-19 entre marzo y agosto de 2020. Métodos: En una serie de casos se analizó el comportamiento epidemiológico de COVID-19 en un hospital de tercer nivel, para lo cual se estimaron frecuencias simples de casos, porcentajes e incidencia por cada 100 egresos hospitalarios. Resultados: De 491 sujetos con prueba positiva para SARS-CoV-2, 156 (31.7 %) fueron hospitalizados por datos clínicos de enfermedad moderada a grave. La edad promedio fue de 59.1 años; 121 casos (75 %) egresaron por mejoría y 32 (20.5 %), por defunción. El promedio de edad de quienes fallecieron fue de 69.7 años y el grupo etario más afectado fue el de 60 a 80 años (45.4 %). La letalidad calculada fue de 20.5 por 100 egresos hospitalarios, mientras que la calculada tomando en cuenta los pacientes positivos (ambulatorios y hospitalizados) fue de 6.5. Conclusiones: El comportamiento epidemiológico de COVID-19 fue similar al descrito en otros estudios; sin embargo, la letalidad y la mortalidad están por encima de la media nacional. Está pendiente el análisis de estas y de los factores que las favorecieron en nuestra población.

Abstract Introduction: As a result of COVID-19, many hospitals underwent a conversion for the care for this disease Objective: To analyze COVID-19 hospital epidemiological behavior from March to August 2020. Methods: Through a series of cases, COVID-19 epidemiological behavior at the hospital was analyzed, for which simple case rates, percentages and incidence of COVID-19 per 100 hospital discharges were estimated. Results: Out of 491 subjects who tested positive for SARS-CoV-2, 156 (31.7 %) were hospitalized for clinical data of moderate to severe disease. Average age was 59.1 years; 121 cases (75 %) were discharged due to improvement, and 32 (20.5 %), due to death. Average age of those who died was 69.7 years, and the most affected age group was 60 to 80 years (45.4 %). Calculated lethality was 20.5 per 100 hospital discharges, while that calculated taking into account positive patients (outpatients and hospitalized patients) was 6.5. Conclusions: COVID-19 epidemiological behavior was similar to that described in other studies; however, lethality and mortality are above national average. The analysis of this and of the factors that favored it in our population is pending.