ABSTRACT
BACKGROUND: COVID-19 develops severe inflammatory responses that can lead to death. It is essential in a pandemic to have accessible instruments to estimate the prognosis of the disease. The lymphocyte-to-C-reactive protein ratio (LCR) is a predictive biomarker studied in oncology, which could have some advantages in COVID-19 patients in the early stages of the disease. Our objective was to estimate the risk of LCR < 100 and mortality in hospitalized patients with COVID-19. METHODS: hospitalized patients with COVID-19 seen between March to October 2020 were included. The patients were grouped according to LCR < 100 and LCR > 100. A Cox regression model was performed to estimate the association between LCR < 100 and mortality. RESULTS: we included 730 patients with COVID-19. The mean age at diagnosis was 49.9 years (SD 16.8) and 401 (55%) were men. Cox regression model showed an association between LCR <100 and mortality (HR 6.2; 95% CI 1.6 to 23.5; p 0.008), adjusting by age. severe pneumonia, intensive care requirements, and comorbidities. CONCLUSION: LPCR <100 in the initial assessment of hospitalized patients with COVID-19 suggests a higher risk of mortality.
Introducción: El COVID-19 genera respuestas inflamatorias graves que pueden terminar en la muerte. En pandemia resulta fundamental tener instrumentos de f ácil acceso que estimen su evolución. El índice linfocito proteína C reactiva (LPCR) es un marcador pronóstico estudiado en patología oncológica que podría mostrar ventajas en la etapa precoz de la enfermedad por COVID-19. Objetivo: estimar los niveles de LPCR < 100 y su riesgo de mortalidad en pacientes internados con COVID-19. Métodos: Se incluyeron pacientes con COVID 19 que ingresaron a la sala de internación general desde marzo hasta octubre de 2020. Se realizó un modelo de regresión de Cox para estimar la relación entre el LPCR < 100 y mortalidad. Resultados: Se incluyeron 730 pacientes. La edad media de presentación fue 49.9 años (DE 16.8) y 401 (55%) fueron hombres. La mediana de días de internación fue 8 (RIC 6). El modelo de regresión de Cox evidenció asociación entre LPCR <100 y mortalidad (HR 6.2; IC95% 1.6 a 23.5; p 0.008) ajustado por edad, neumonía grave, pases a terapia intensiva, hipertensión arterial, y comorbilidades. Discusión: El LPCR <100 en la evaluación inicial de los pacientes que se internan con COVID-19 podría sugerir mayor riesgo de mortalidad.
Subject(s)
COVID-19 , Biomarkers , C-Reactive Protein/metabolism , COVID-19/diagnosis , Female , Humans , Lymphocytes , Male , Pandemics , Prognosis , Retrospective StudiesABSTRACT
Resumen Introducción: El COVID-19 genera respuestas inflamatorias graves que pueden terminar en la muerte. En pandemia resulta fundamental tener instrumentos de fácil acceso que estimen su evolu ción. El índice linfocito proteína C reactiva (LPCR) es un marcador pronóstico estudiado en patología oncológica que podría mostrar ventajas en la etapa precoz de la enfermedad por COVID-19. Objetivo: estimar los niveles de LPCR < 100 y su riesgo de mortalidad en pacientes internados con COVID-19. Métodos: Se incluyeron pacientes con COVID 19 que ingresaron a la sala de internación general desde marzo hasta octubre de 2020. Se realizó un modelo de regresión de Cox para estimar la relación entre el LPCR < 100 y mortalidad. Resulta dos: Se incluyeron 730 pacientes. La edad media de presentación fue 49.9 años (DE 16.8) y 401 (55%) fueron hombres. La mediana de días de internación fue 8 (RIC 6). El modelo de regresión de Cox evidenció asociación entre LPCR <100 y mortalidad (HR 6.2; IC95% 1.6 a 23.5; p 0.008) ajustado por edad, neumonía grave, pases a terapia intensiva, hipertensión arterial, y comorbilidades. Discusión: El LPCR <100 en la evaluación inicial de los pacientes que se internan con COVID-19 podría sugerir mayor riesgo de mortalidad.
Abstract Background: COVID-19 develops severe inflammatory responses that can lead to death. It is es sential in a pandemic to have accessible instruments to estimate the prognosis of the disease. The lymphocyte-to- C-reactive protein ratio (LCR) is a predictive biomarker studied in oncology, which could have some advantages in COVID-19 patients in the early stages of the disease. Our objective was to estimate the risk of LCR < 100 and mortality in hospitalized patients with COVID-19. Methods: hospitalized patients with COVID-19 seen between March to October 2020 were included. The patients were grouped according to LCR < 100 and LCR > 100. A Cox regression model was performed to estimate the association between LCR < 100 and mortality. Results: we included 730 patients with COVID-19. The mean age at diagnosis was 49.9 years (SD 16.8) and 401 (55%) were men. Cox regression model showed an association between LCR <100 and mortality (HR 6.2; 95% CI 1.6 to 23.5; p 0.008), adjusting by age. severe pneumonia, intensive care requirements, and comorbidities. Conclusion: LPCR <100 in the initial assessment of hospitalized patients with COVID-19 suggests a higher risk of mortality.
ABSTRACT
ANTECEDENTES: El COVID-19 presenta una progresión a cuadros respiratorios graves que pueden culminar con la muerte. Al ser una pandemia, hay necesidad de herramientas de bajo costo que permitan determinar su evolución. El índice neutrófilo-linfocito (INL) es un marcador inflamatorio estudiado en diversas patologías. OBJETIVO: Estimar la asociación entre INL > 3 y mortalidad en pacientes hospitalizados con COVID 19. PACIENTES Y MÉTODOS: Se incluyeron pacientes con diagnóstico de COVID 19 que ingresaron a la sala de internación general de nuestro hospital, desde marzo hasta agosto de 2020. Los pacientes se dividieron en dos grupos: con INL 3. Se realizó un modelo de regresión logística múltiple para estimar la asociación entre el INL > 3 y mortalidad. RESULTADOS: Se incluyeron 711 pacientes con COVID-19. El modelo de regresión logística múltiple mostró asociación entre INL > 3 y mortalidad (OR 3.8; IC95% 1,05 a 13,7; p 0,04) ajustado por edad, días de internación, traslados a terapia intensiva, neumonía grave, valores de proteína-C-reactiva, hipertensión arterial, y comorbilidad neurológica, renal crónica, cardiaca y oncológica previas. COCLUSIÓN: El INL es accesible en la evaluación inicial de los pacientes que se internan con COVID-19, habiéndose asociado en nuestra serie con mortalidad.
BACKGROUND: COVID-19 rapidly progresses to acute respiratory failure and mortality. A pandemic needs an urgent requirement for low-cost and easy-access tools that assess the infection evolution. The neutrophil-lymphocyte ratio (NLR) is an inflammatory biomarker used in several diseases. AIM: To estimate the association between NLR > 3 with mortality in hospitalized patients with COVID 19. METHODS: NLR was analyzed in patients with COVID-19 seen at Hospital Fernandez between March and August 2020. Patients were grouped in those with NLR 3. Clinical characteristics and mortality were analyzed and compared between groups. A multivariable regression model was used to estimate the association between NLR > 3 and mortality. RESULTS: We included 711 patients with COVID-19. In a multivariable regression model, NLR > 3 associated with mortality (OR 3.8; 95% CI 1.05 to 13.7; p 0.04) adjusting by age, days of hospitalization, intensive care requirement, severe pneumonia, C-reactive protein levels, arterial hypertension, and comorbidities. CONCLUSION: NLR was associated with mortality, and it is an accessible and easy tool to use in the first evaluation of hospitalized patients with COVID-19.
Subject(s)
Humans , Male , Female , Adult , COVID-19/mortality , Argentina/epidemiology , Lymphocytes , Retrospective Studies , Lymphocyte Count , NeutrophilsABSTRACT
BACKGROUND: Hospital bed saturation has been one of the problems to solve during the SARS-CoV-2 pandemic. However, not every patient who is admitted requires close monitoring or specific therapeutics. Mild cases could be managed in the outpatient setting. OBJECTIVE: Our study aimed to analyze the accuracy of the oxygen saturation/respiratory rate (sat/RR) index, NEWS2, CURB65, and quick Sequential Organ Failure Assessment (qSOFA) scores to predict supplemental oxygen requirement and prolonged hospital stay in patients with mild coronavirus disease 2019 (COVID-19). METHODS: A prospective cohort study in an academic medical center. We compared the values of these scores according to the occurrence or not of each outcome. When differences between groups were statistically significant, the discriminatory capacity of the score for that outcome was analyzed. RESULTS: We included 271 patients. Of them, 11.07% required supplemental oxygen, showing significantly higher values of NEWS2 score and qSOFA score, and lower values of Sat/RR index. About 38% presented prolonged hospital stay, with significantly higher values of NEWS2 score and lower values of sat/RR index. The ROC curve area under the curve (AUC) of sat/RR index to discriminate the requirement of supplemental oxygen was 0.72 (CI 95% 0.61-0.84). The ROC curve of NEWS2 and qSOFA for the same outcome was 0.75 (95% [95% CI 0.65-0.85]) and 0.66 (95% CI 0.57-0.76), respectively. The ability of the Sat/RR index to discriminate the requirement of prolonged hospitalization showed an AUC of 0.67 (95% [95% CI 0.60- 0.73]). The NEWS2 score showed an AUC of 0.63 (CI 95% 0.56-0.70) for the same outcome. CONCLUSIONS: sat/RR index and NEWS2 score have a good capacity to discriminate patients at risk of clinical worsening, being the Sat/RR index simpler and easier to calculate.
Subject(s)
COVID-19/diagnosis , Organ Dysfunction Scores , Oxygen/blood , Respiratory Rate , Academic Medical Centers , Adult , Aged , Argentina , Female , Humans , Male , Middle Aged , Prognosis , Prospective StudiesABSTRACT
BACKGROUND: COVID-19 rapidly progresses to acute respiratory failure and mortality. A pandemic needs an urgent requirement for low-cost and easy-access tools that assess the infection evolution. The neutrophil-lymphocyte ratio (NLR) is an inflammatory biomarker used in several diseases. AIM: To estimate the association between NLR > 3 with mortality in hospitalized patients with COVID 19. METHODS: NLR was analyzed in patients with COVID-19 seen at Hospital Fernandez between March and August 2020. Patients were grouped in those with NLR < 3 and those with NLR > 3. Clinical characteristics and mortality were analyzed and compared between groups. A multivariable regression model was used to estimate the association between NLR > 3 and mortality. RESULTS: We included 711 patients with COVID-19. In a multivariable regression model, NLR > 3 associated with mortality (OR 3.8; 95% CI 1.05 to 13.7; p 0.04) adjusting by age, days of hospitalization, intensive care requirement, severe pneumonia, C-reactive protein levels, arterial hypertension, and comorbidities. CONCLUSION: NLR was associated with mortality, and it is an accessible and easy tool to use in the first evaluation of hospitalized patients with COVID-19.
