Ventilatory Parameters in Obstetric Patients With COVID-19 and Impact of Delivery: A Multicenter Prospective Cohort Study.

BACKGROUND: Current evidence on obstetric patients requiring advanced ventilatory support and impact of delivery on ventilatory parameters is retrospective, scarce, and controversial. RESEARCH QUESTION: What are the ventilatory parameters for obstetric patients with COVID-19 and how does delivery impact them? What are the risk factors for invasive mechanical ventilation (IMV) and for maternal, fetal, and neonatal mortality? STUDY DESIGN AND METHODS: Prospective, multicenter, cohort study including pregnant and postpartum patients with COVID-19 requiring advanced ventilatory support in the ICU. RESULTS: Ninety-one patients were admitted to 21 ICUs at 29.2 ± 4.9 weeks; 63 patients (69%) had delivered. Maximal ventilatory support was as follows: IMV, 69 patients (76%); high-flow nasal cannula, 20 patients (22%); and noninvasive mechanical ventilation, 2 patients (2%). Sequential Organ Failure Assessment during the first 24 h (SOFA24) score was the only risk factor for IMV (OR, 1.97; 95% CI, 1.29-2.99; P = .001). Respiratory parameters at IMV onset for pregnant patients were: mean ± SD plateau pressure (PP), 24.3 ± 4.5 cm H2O; mean ± SD driving pressure (DP), 12.5 ± 3.3 cm H2O; median static compliance (SC), 31 mL/cm H2O (interquartile range [IQR], 26-40 mL/cm H2O); and median Pao2 to Fio2 ratio, 142 (IQR, 110-176). Respiratory parameters before (< 2 h) and after (≤ 2 h and 24 h) delivery were, respectively: mean ± SD PP, 25.6 ± 6.6 cm H2O, 24 ± 6.7 cm H2O, and 24.6 ± 5.2 cm H2O (P = .59); mean ± SD DP, 13.6 ± 4.2 cm H2O, 12.9 ± 3.9 cm H2O, and 13 ± 4.4 cm H2O (P = .69); median SC, 28 mL/cm H2O (IQR, 22.5-39 mL/cm H2O), 30 mL/cm H2O (IQR, 24.5-44 mL/cm H2O), and 30 mL/cm H2O (IQR, 24.5-44 mL/cm H2O; P = .058); and Pao2 to Fio2 ratio, 134 (IQR, 100-230), 168 (IQR, 136-185), and 192 (IQR, 132-232.5; P = .022). Reasons for induced delivery were as follows: maternal, 43 of 71 patients (60.5%); maternal and fetal, 21 of 71 patients (29.5%); and fetal, 7 of 71 patients (9.9%). Fourteen patients (22.2%) continued pregnancy after ICU discharge. Risk factors for maternal mortality were BMI (OR, 1.10; 95% CI, 1.006-1.204; P = .037) and comorbidities (OR, 4.15; 95% CI, 1.212-14.20; P = .023). Risk factors for fetal or neonatal mortality were gestational age at delivery (OR, 0.67; 95% CI, 0.52-0.86; P = .002) and SOFA24 score (OR, 1.53; 95% CI, 1.13-2.08; P = .006). INTERPRETATION: Contrary to expectations, pregnant patient lung mechanics were similar to those of the general population with COVID-19 in the ICU. Delivery was induced mainly for maternal reasons, but did not change ventilatory parameters other than Pao2 to Fio2 ratio. SOFA24 score was the only risk factor for IMV. Maternal mortality was associated independently with BMI and comorbidities. Risk factors for fetal and neonatal mortality were SOFA24 score and gestational age at delivery.

Clinical characteristics, respiratory management, and determinants of oxygenation in COVID-19 ARDS: A prospective cohort study.

PURPOSE: To identify determinants of oxygenation over time in patients with COVID-19 acute respiratory distress syndrome (ARDS); and to analyze their characteristics according to Berlin definition categories. MATERIALS AND METHODS: Prospective cohort study including consecutive mechanically ventilated patients admitted between 3/20/2020-10/31/2020 with ARDS. Epidemiological and clinical data on admission; outcomes; ventilation, respiratory mechanics and oxygenation variables were registered on days 1, 3 and 7 for the entire population and for ARDS categories. RESULTS: 1525 patients aged 61 ± 13, 69% male, met ARDS criteria; most frequent comorbidities were obesity, hypertension, diabetes and respiratory disease. On admission, 331(21%), 849(56%) and 345(23%) patients had mild, moderate and severe ARDS; all received lung-protective ventilation (mean tidal volumes between 6.3 and 6.7 mL/kg PBW) and intermediate PEEP levels (10-11 cmH2O). PaO2/FiO2, plateau pressure, static compliance, driving pressure, ventilation ratio, pH and D-dimer >2 mg/L remained significantly different among the ARDS categories over time. In-hospital mortality was, respectively, 55%, 58% and 70% (p < 0.000). Independent predictors of changes of PaO2/FiO2 over time were BMI; preexistent respiratory disease; D-dimer >2 mg/L; day 1-PEEP, and day 1-ventilatory ratio. CONCLUSION: Hypoxemia in patients with COVID-19-related ARDS is associated with comorbidities, deadspace and activated coagulation markers, and disease severity-reflected by the PEEP level required.

Clinical characteristics and outcomes of invasively ventilated patients with COVID-19 in Argentina (SATICOVID): a prospective, multicentre cohort study.

BACKGROUND: Although COVID-19 has greatly affected many low-income and middle-income countries, detailed information about patients admitted to the intensive care unit (ICU) is still scarce. Our aim was to examine ventilation characteristics and outcomes in invasively ventilated patients with COVID-19 in Argentina, an upper middle-income country. METHODS: In this prospective, multicentre cohort study (SATICOVID), we enrolled patients aged 18 years or older with RT-PCR-confirmed COVID-19 who were on invasive mechanical ventilation and admitted to one of 63 ICUs in Argentina. Patient demographics and clinical, laboratory, and general management variables were collected on day 1 (ICU admission); physiological respiratory and ventilation variables were collected on days 1, 3, and 7. The primary outcome was all-cause in-hospital mortality. All patients were followed until death in hospital or hospital discharge, whichever occurred first. Secondary outcomes were ICU mortality, identification of independent predictors of mortality, duration of invasive mechanical ventilation, and patterns of change in physiological respiratory and mechanical ventilation variables. The study is registered with ClinicalTrials.gov, NCT04611269, and is complete. FINDINGS: Between March 20, 2020, and Oct 31, 2020, we enrolled 1909 invasively ventilated patients with COVID-19, with a median age of 62 years [IQR 52-70]. 1294 (67·8%) were men, hypertension and obesity were the main comorbidities, and 939 (49·2%) patients required vasopressors. Lung-protective ventilation was widely used and median duration of ventilation was 13 days (IQR 7-22). Median tidal volume was 6·1 mL/kg predicted bodyweight (IQR 6·0-7·0) on day 1, and the value increased significantly up to day 7; positive end-expiratory pressure was 10 cm H2O (8-12) on day 1, with a slight but significant decrease to day 7. Ratio of partial pressure of arterial oxygen (PaO2) to fractional inspired oxygen (FiO2) was 160 (IQR 111-218), respiratory system compliance 36 mL/cm H2O (29-44), driving pressure 12 cm H2O (10-14), and FiO2 0·60 (0·45-0·80) on day 1. Acute respiratory distress syndrome developed in 1672 (87·6%) of patients; 1176 (61·6%) received prone positioning. In-hospital mortality was 57·7% (1101/1909 patients) and ICU mortality was 57·0% (1088/1909 patients); 462 (43·8%) patients died of refractory hypoxaemia, frequently overlapping with septic shock (n=174). Cox regression identified age (hazard ratio 1·02 [95% CI 1·01-1·03]), Charlson score (1·16 [1·11-1·23]), endotracheal intubation outside of the ICU (ie, before ICU admission; 1·37 [1·10-1·71]), vasopressor use on day 1 (1·29 [1·07-1·55]), D-dimer concentration (1·02 [1·01-1·03]), PaO2/FiO2 on day 1 (0·998 [0·997-0·999]), arterial pH on day 1 (1·01 [1·00-1·01]), driving pressure on day 1 (1·05 [1·03-1·08]), acute kidney injury (1·66 [1·36-2·03]), and month of admission (1·10 [1·03-1·18]) as independent predictors of mortality. INTERPRETATION: In patients with COVID-19 who required invasive mechanical ventilation, lung-protective ventilation was widely used but mortality was high. Predictors of mortality in our study broadly agreed with those identified in studies of invasively ventilated patients in high-income countries. The sustained burden of COVID-19 on scarce health-care personnel might have contributed to high mortality over the course of our study in Argentina. These data might help to identify points for improvement in the management of patients in middle-income countries and elsewhere. FUNDING: None. TRANSLATION: For the Spanish translation of the Summary see Supplementary Materials section.

Recomendaciones para la gestión de recursos en las unidades de cuidados intensivos durante la pandemia de COVID-19

El presente documento tiene como fin proporcionar recomendaciones basadas en la evidencia para estimar los equipos de proteccion personal (EPP), los dispositivos médicos y los medicamentos comúnmente utilizados en la Unidad de Cuidados Intensivos durante la pandemia de COVID-19. Se llevó a cabo una revisión sistemática de la literatura y evaluación de la literatura gris. La evidencia se clasificó utilizando la metodología GRADE. Luego, se construyó un modelo predictivo para apoyar la estimación de recursos durante 30 días de la pandemia. En el desarrollo de estas recomendaciones se incluyeron 33 publicaciones con calidad de evidencia variable (calidad baja a muy baja), acerca del uso de EPP según el riesgo de exposición;manejo y re-uso de EPP, y las necesidades de fármacos y dispositivos médicos para la atención de pacientes con COVID-19. Es destacable lo difícil que resulta estimar y administrar la cantidad de suministros y equipos esenciales necesarios durante una pandemia. El modelo nos permitió predecir los recursos necesarios para proporcionar cuidados críticos durante 30 días de actividad pandémica. Dada la evolución constante de COVID-19, estas recomendaciones pueden cambiar a medida que evolucione la evidencia. This document aims to provide evidence-based recommendations to estimate the personal protective equipments (PPE), medical devices, and drugs commonly used in the Intensive Care Unit during the COVID-19 pandemic. A systematic literature review and gray literature assessment was performed, and the evidence was categorized using the GRADE methodology. Then a predictive model was built to support the estimation of resources needed during 30 days of the pandemic. In the development of these recommendations, 33 publications were included, with variable quality of evidence (low to very low quality). They refer to the use of PPE according to the risk of exposure;management and reuse of PPE, and the stock of drugs and medical devices needed for the care of patients with COVID-19. It is important to remark the difficult in estimating and managing the number of essential supplies and equipment required during a pandemic. The model allowed us to predict the resources required to provide critical care during 30 days of pandemic activity. Given the constant evolution of COVID-19, these recommendations might change as evidence evolves.

Recomendaciones para la gestión de recursos en las unidades de cuidados intensivos durante la pandemia de COVID-19

This document aims to provide evidence-based recommendations to estimate the personal protective equipments (PPE), medical devices, and drugs commonly used in the Intensive Care Unit during the COVID-19 pandemic. A systematic literature review and gray literature assessment was performed, and the evidence was categorized using the GRADE methodology. Then a predictive model was built to support the estimation of resources needed during 30 days of the pandemic. In the development of these recommendations, 33 publications were included, with variable quality of evidence (low to very low quality). They refer to the use of PPE according to the risk of exposure;management and reuse of PPE, and the stock of drugs and medical devices needed for the care of patients with COVID-19. It is important to remark the difficult in estimating and managing the number of essential supplies and equipment required during a pandemic. The model allowed us to predict the resources required to provide critical care during 30 days of pandemic activity. Given the constant evolution of COVID-19, these recommendations might change as evidence evolves.

[Recommendations for resource management in intensive care units during the COVID-19 pandemic]

This document aims to provide evidence-based recommendations to estimate the personal protective equipments (PPE), medical devices, and drugs commonly used in the Intensive Care Unit during the COVID-19 pandemic. A systematic literature review and gray literature assessment was performed, and the evidence was categorized using the GRADE methodology. Then a predictive model was built to support the estimation of resources needed during 30 days of the pandemic. In the development of these recommendations, 33 publications were included, with variable quality of evidence (low to very low quality). They refer to the use of PPE according to the risk of exposure;management and reuse of PPE, and the stock of drugs and medical devices needed for the care of patients with COVID-19. It is important to remark the difficult in estimating and managing the number of essential supplies and equipment required during a pandemic. The model allowed us to predict the resources required to provide critical care during 30 days of pandemic activity. Given the constant evolution of COVID-19, these recommendations might change as evidence evolves.