Low disease activity state associated with fewer incident vertebral fractures in Mestizo women with systemic lupus erythematosus.

BACKGROUND: Low disease activity state (LDAS) has been linked to a significant reduction in flares and damage accrual in patients with systemic lupus erythematosus (SLE); however, the effect of LDAS on the risk of vertebral fractures (VFs) in subjects with SLE is unknown, considering that low bone mineral density (BMD) and VF are frequent in SLE. OBJECTIVE: to evaluate whether achieving LDAS ≥50% of the observation time prevents new VF and BMD changes in Mestizo women. METHODS: We carried out a longitudinal, observational, and retrospective study. Mestizo women with SLE were included for a median of an 8-year follow-up. LDAS was described as Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) score ≤4, prednisone ≤7.5 mg/day, and stable immunosuppressive therapies. BMD measurements and lateral thoracic and lumbar radiographs for a semiquantitative analysis for VF were assessed at baseline and during the follow-up. Uni- and multivariable interval-censored survival regression models were carried out. RESULTS: We included 110 patients: 35 (31.8%) had new VF. A total of 56 patients (50.1%) achieved LDAS ≥50% of the time during the follow-up and achieved a significantly lesser risk of incident VF (HR = 0.16; 95% CI, 0.06-0.49). After adjusting by age, BMI, menopause, prevalent VF, baseline BMD, cumulative glucocorticoid use, and anti-osteoporotic therapy, LDAS-50 was significantly related to a decrease in the risk of a new VF (HR = 0.39; 95% CI, 0.16-0.98). There was no association between LDAS and BMD measurement changes. When only patients on LDAS but not in remission (n = 43) were evaluated for the risk of incident VF, both uni- and multivariate analyses were significant (HR = 0.12; 95 CI, 0.04-47; p = 0.001, and HR = 0.26; 95% CI, 0.7-0.88; p = 0.03). CONCLUSIONS: LDAS ≥50% of the time was significantly associated with a diminished risk of new VF in Mestizo women with SLE, even in patients not in remission. However, LDAS did not help modify BMD changes over time.

Trends in mortality in patients with systemic autoimmune rheumatic diseases (SARD) during the COVID-19 pandemic in Mexico.

The study aimed to analyze the influence of the COVID-19 pandemic on mortality rates in patients with systemic autoimmune rheumatic diseases (SARD) in Mexico. We selected SARD-related deaths using National Open Data and Information from the Ministry of Health, Mexico, and ICD-10 codes. We assessed the observed compared to the predicted mortality values for 2020 and 2021, employing trends from 2010 to 2019 with joinpoint and prediction modelling analyses. Among 12,742 deaths due to SARD between 2010 and 2021, the age-standardized mortality rate (ASMR) increased significantly between 2010 and 2019 (pre-pandemic) (annual percentage change [APC] 1.1%; 95% CI 0.2-2.1), followed by a non-significant decrease during the pandemic period (APC 13.9%; 95% CI 13.9-5.3). In addition, the observed ASMR of 1.19 for 2020 for SARD and of 1.14 for 2021 were lower than the predicted values of 1.25 (95% CI 1.22-1.28) for 2020 and 1.25 (95% CI 1.20-1.30) for 2021. Similar findings were identified for specific SARD, mainly systemic lupus erythematosus (SLE), or by sex or age group. Interestingly, the observed mortality rates for SLE in the Southern region of 1.00 in 2020 and 1.01 in 2021 were both significantly greater than the predicted values of 0.71 (95% CI 0.65-0.77) in 2020 and 0.71 (95% CI 0.63-0.79). In Mexico, the observed SARD mortality rates were not higher than the expected values during the pandemic, except for SLE in the Southern region. No differences by sex or age group were identified.

Use of pulmonary ultrasound to predict in-hospital mortality in patients with COVID-19 infection.

INTRODUCTION: Lung ultrasound (LUS) implementation in patients with COVID-19 can help to establish the degree of pulmonary involvement, evaluate treatment response and estimate in-hospital outcome. OBJECTIVE: To evaluate the application of a LUS protocol in patients with COVID-19 infection to predict in-hospital mortality. METHODS: The study was carried out from April 1 to August 1, 2020 in patients with COVID-19 infection admitted to the Intensive Care Unit. Lung evaluation was carried out by physicians trained in critical care ultrasonography. RESULTS: Most patients were males, median age was 56 years, and 59 % required mechanical ventilation. In-hospital mortality was 39.4 %, and in those with a LUS score ≥ 19, mortality was higher (50 %). The multiple logistic regression model showed that a LUS score ≥ 19 was significantly associated with mortality (hazard ratio = 2.55, p = 0.01). CONCLUSIONS: LUS is a safe and fast clinical tool that can be applied at bedside in patients with COVID-19 infection to establish the degree of parenchymal involvement and predict mortality.

INTRODUCCIÓN: La implementación del ultrasonido pulmonar (LUS) en los pacientes con COVID-19 puede ayudar a establecer el grado de afectación pulmonar, evaluar la respuesta al tratamiento y estimar el desenlace intrahospitalario. OBJETIVO: Evaluar la aplicación de un protocolo LUS en pacientes con infección por COVID-19 para predecir mortalidad intrahospitalaria. MÉTODOS: El estudio se realizó del 1 de abril al 1 de agosto de 2020 en pacientes con infección por COVID-19, ingresados en la Unidad de Terapia Intensiva. Se realizó evaluación pulmonar por médicos entrenados en ultrasonografía crítica. RESULTADOS: La mayoría de los pacientes fue del sexo masculino, la edad mediana fue de 56 años y 59 % requirió ventilación mecánica. La mortalidad intrahospitalaria fue de 39.4 % y en aquellos con puntuación de LUS ≥ 19, de 50 %. El modelo de regresión logística múltiple mostró que la puntuación de LUS ≥ 19 se asoció significativamente a mortalidad (cociente de riesgo = 2.55, p = 0.01). CONCLUSIONES: El LUS es una herramienta clínica segura y rápida que puede realizarse al lado de la cama de los pacientes con infección por COVID-19, para establecer el grado de afectación parenquimatosa y predecir la mortalidad.

Uso de ultrasonido pulmonar para predecir mortalidad intrahospitalaria en pacientes con infección por COVID-19 / Use of pulmonary ultrasound to predict in-hospital mortality in patients with COVID-19 infection

Resumen Introducción: La implementación del ultrasonido pulmonar (LUS) en los pacientes con COVID-19 puede ayudar a establecer el grado de afectación pulmonar, evaluar la respuesta al tratamiento y estimar el desenlace intrahospitalario. Objetivo: Evaluar la aplicación de un protocolo LUS en pacientes con infección por COVID-19 para predecir mortalidad intrahospitalaria. Métodos: El estudio se realizó del 1 de abril al 1 de agosto de 2020 en pacientes con infección por COVID-19, ingresados en la Unidad de Terapia Intensiva. Se realizó evaluación pulmonar por médicos entrenados en ultrasonografía crítica. Resultados: La mayoría de los pacientes fue del sexo masculino, la edad mediana fue de 56 años y 59 % requirió ventilación mecánica. La mortalidad intrahospitalaria fue de 39.4 % y en aquellos con puntuación de LUS ≥ 19, de 50 %. El modelo de regresión logística múltiple mostró que la puntuación de LUS ≥ 19 se asoció significativamente a mortalidad (cociente de riesgo = 2.55, p = 0.01). Conclusiones: El LUS es una herramienta clínica segura y rápida que puede realizarse al lado de la cama de los pacientes con infección por COVID-19, para establecer el grado de afectación parenquimatosa y predecir la mortalidad.

Abstract Introduction: Lung ultrasound (LUS) implementation in patients with COVID-19 can help to establish the degree of pulmonary involvement, evaluate treatment response and estimate in-hospital outcome. Objective: To evaluate the application of LUS in patients with COVID-19 infection to predict in-hospital mortality. Methods: The study was carried out from April 1 to August 1, 2020 in patients with COVID-19 infection admitted to the Intensive Care Unit. Lung evaluation was carried out by physicians trained in critical care ultrasonography. Results: Most patients were males, median age was 56 years, and 59 % required mechanical ventilation. In-hospital mortality was 39.4 %, and in those with a LUS score ≥ 19, mortality was higher (50 %). The multiple logistic regression model showed that a LUS score ≥ 19 was significantly associated with mortality (hazard ratio = 2.55, p = 0.01). Conclusions: LUS is a safe and fast clinical tool that can be applied at bedside in patients with COVID-19 infection to establish the degree of parenchymal involvement and predict mortality.