Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality.

INTRODUCTION: Neutrophil-to-lymphocyte (NLR) and lymphocyte-to-C-reactive protein (LCR) ratios are used to predict severity and mortality in various infections. OBJECTIVE: To establish the best NLR and LCR cutoff point to predict mortality in patients hospitalized for COVID-19 in Mexico. METHOD: Analytical cross-sectional study of patients hospitalized for severe COVID-19 in a specialty hospital. RESULTS: Out of 242 analyzed patients, 34 % died. The deceased subjects were older (62 vs. 51 years; p < 0.001), had a higher prevalence of > 10 years with systemic arterial hypertension (59.4 vs. 45.1 %, p = 0.022), as well as a higher NLR (17.66 vs. 8.31, p < 0.001) and lower LCR (0.03 vs. 0.06, p < 0.002) with regard to those who survived. The cutoff points to predict mortality were NLR > 12 and LCR < 0.03. The combination of NLR/LCR had a sensitivity of 80 %, specificity of 74 %, positive predictive value of 46.15 %, negative predictive value of 93.02 % and an odds ratio of 11.429 to predict mortality. CONCLUSION: NLR > 12 and LCR < 0.03 are useful biomarkers to evaluate the risk of mortality in Mexican patients with severe COVID- 19. INTRODUCCIÓN: Los índices neutrófilo/linfocito (INL) y linfocito/proteína C reactiva (ILR) se usan para predecir severidad y mortalidad en diversas infecciones. OBJETIVO: Establecer en México el mejor punto de corte de INL e ILR para predecir la mortalidad en pacientes hospitalizados por COVID-19. MÉTODO: Estudio transversal analítico de pacientes hospitalizados por COVID-19 grave en un hospital de especialidades. RESULTADOS: Falleció 34 % de 242 pacientes analizados. Los sujetos fallecidos tenían mayor edad (62 versus 51 años, p < 0.001), mayor prevalencia de hipertensión arterial sistémica > 10 años (59.4 versus 45.1 %, p = 0.022), así como INL más alto (17.66 versus 8.31, p < 0.001) e ILR más bajo (0.03 versus 0.06, p < 0.002) respecto a quienes sobrevivieron. Los puntos de corte para predecir mortalidad fueron INL > 12 e ILR < 0.03. La combinación de INL e ILR tuvo sensibilidad de 80 %, especificidad de 74 %, valor predictivo positivo de 46.15 %, valor predictivo negativo de 93.02 % y razón de momios de 11.429 para predecir la mortalidad. CONCLUSIÓN: INL > 12 e ILR < 0.03 son biomarcadores útiles para evaluar el riesgo de mortalidad en pacientes mexicanos con COVID-19 grave.

Differences in mortality rate among patients hospitalized with severe COVID-19 according to their body mass index.

Background: Obesity has been described as a risk factor for COVID-19 severity and mortality. Previous studies report a linear association between BMI and adverse outcomes, meanwhile in other critical illness, excessive fat tissue is related to improved survival. Whether different BMI is related with the survival of patients with severe COVID-19 deserves further analysis. Objective: To determine the mortality rate among hospitalized patients with severe COVID-19 stratified according to BMI. Methods: The clinical files of all patients hospitalized from March to December 2020 with a positive PCR test for SARS-CoV-2 discharged due to improvement or death, were analyzed. A mixed effects logistic regression was carried out to determine which clinical and biochemical characteristics and comorbidities were associated with in-hospital mortality. Results: The cohort consisted of 608 patients with a median age of 59 years (interquartile ranges, IQR 46-69 years), median BMI of 28.7 kg/m2 (IQR 25.4-32.4 kg/m2), 65.5% were male. In-hospital mortality rate was 43.4%. Of the cohort 0.8% had low weight, 20.9% normal weight, 36.0% overweight, 26.5% obesity grade I, 10.2% obesity grade II and 5.6% obesity grade III. Mortality rate was highest in patients with low weight (80%), followed by patients with obesity grade III (58.8%) and grade II (50.0%). Overweight and underweight/obesity grade III were associated with higher mortality (OR of 9.75 [1.01-1.10] and OR 4.08 [1.64-10.14]), after adjusting by sex and age. Conclusions: The patients in the underweight/overweight and grade 3 obesity categories are at higher risk of COVID-19 related mortality, compared to those with grade I or II obesity.

[Neurological manifestations in patients with severe COVID-19 in a tertiary care center]. / Manifestaciones neurológicas en pacientes con COVID-19 severo en un centro de tercer nivel de atención.

Background: The SARS-CoV-2 disease, called COVID-19, emerged in China has acquired pandemic dimensions. According to the WHO situational report of March 15, 2021, the global fatality rate is 2.2%; in Mexico, around 194 944 deaths have been confirmed by COVID-19. Studies in China identified that patients with severe COVID-19, when compared with those who had non-severe COVID-19, presented more severe neurological manifestations. Objective: To determine the frequency of neurological symptoms and manifestations in patients with severe COVID-19 in a tertiary care center. Material and methods: A cross-sectional, observational and analytical study was carried out at the Hospital de Especialidades del Centro Médico Nacional Siglo XXI, in patients hospitalized with severe COVID-19. Results: 183 cases were analyzed, of which 130 were men (71%). The median age was 55 years (IQR: 44-65). The neurological symptoms were: headache, anosmia and dysgeusia. Neurological manifestations occurred in 27 patients (16%), the most frequent was ischemic-type cerebrovascular disease (CVD) in 12 (44%), in patients older than 76.5 years vs. 54 years (p = 0.000), with history of cardiovascular disease. Conclusions: The most frequent neurological symptoms were headache, anosmia and dysgeusia. The most frequent neurological manifestation was ischemic CVD that appeared in older patients with severe COVID-19 with a history of cardiovascular disease.

Introducción: la enfermedad por SARS-CoV-2 denominada COVID-19 originada en China adquirió dimensiones pandémicas. De acuerdo con el reporte situacional de la OMS al 15 de marzo de 2021, la tasa de letalidad global es del 2.2%; en México se han confirmado alrededor de 194 944 defunciones por COVID-19. Estudios en China identificaron que los pacientes con COVID-19 severo, al compararlos con aquellos que cursaron con COVID-19 no severo, presentaron manifestaciones neurológicas más graves. Objetivo: determinar la frecuencia de síntomas y manifestaciones neurológicas en pacientes con COVID-19 severo en un centro de tercer nivel de atención. Material y métodos: estudio transversal, observacional y analítico, llevado a cabo en el Hospital de Especialidades del Centro Médico Nacional Siglo XXI, en pacientes hospitalizados con COVID-19 severo. Resultados: se analizaron 183 casos, de los cuales 130 eran hombres (71%). La mediana de edad fue de 55 años (RIC: 44-65). Los síntomas neurológicos fueron: cefalea, anosmia y disgeusia. Las manifestaciones neurológicas se presentaron en 27 pacientes, la más frecuente fue la enfermedad vascular cerebral tipo isquémica (EVC) en 12 pacientes (44%) en pacientes con mayor edad, 76.5 frente a 54 años (p = 0.000), y con antecedente de enfermedad cardiovascular. Conclusiones: los síntomas neurológicos más frecuentes fueron cefalea, anosmia y disgeusia. La manifestación neurológica más frecuente fue la EVC isquémica que se presentó en pacientes con COVID-19 severo de mayor edad y con antecedente de enfermedad cardiovascular.

A Shift Towards an Immature Myeloid Profile in Peripheral Blood of Critically Ill COVID-19 Patients.

BACKGROUND: SARS-CoV-2, the etiological agent causing COVID-19, has infected more than 27 million people with over 894000 deaths worldwide since its emergence in December 2019. Factors for severe diseases, such as diabetes, hypertension, and obesity have been identified however, the precise pathogenesis is poorly understood. To understand its pathophysiology and to develop effective therapeutic strategies, it is essential to define the prevailing immune cellular subsets. METHODS: We performed whole circulating immune cells scRNAseq from five critically ill COVID-19 patients, trajectory and gene ontology analysis. RESULTS: Immature myeloid populations, such as promyelocytes-myelocytes, metamyelocytes, band neutrophils, monocytoid precursors, and activated monocytes predominated. The trajectory with pseudotime analysis supported the finding of immature cell states. While the gene ontology showed myeloid cell activation in immune response, DNA and RNA processing, defense response to the virus, and response to type 1 interferon. Lymphoid lineage was scarce. Expression of genes such as C/EBPß, IRF1and FOSL2 potentially suggests the induction of trained immunity. CONCLUSIONS: Our results uncover transcriptomic profiles related to immature myeloid lineages and suggest the potential induction of trained immunity.

Association between metabolic syndrome and breast cancer. / Asociación entre síndrome metabólico y cáncer de mama.

Metabolic syndrome is a set of risk factors associated with cardiovascular disease and diabetes. In Mexico, its prevalence has been reported up to 49.8%, significantly higher than in other countries. In the last 30 years there has been an increase in breast cancer incidence in Mexico, becoming the most frequent and deadly neoplasm in 2018. Since the late 1990s, several observational studies have identified an association between metabolic syndrome and an increased risk of breast cancer. At least 3 interrelated mechanisms that explain the risk increase of cancer associated with metabolic syndrome are postulated: the increase in estrogen levels derived from adipose tissue, hyperinsulinemia and its anabolic effect on epithelial cells and the endocrine effect of abdominal fat. The components of metabolic syndrome associated with an increased risk of breast cancer are: type 2 diabetes with a relative risk of 1.27 (95% CI: 1.16-1.39), obesity in postmenopausal women with a relative risk of 1.39 (95% CI: 1.14-1.70) and low HDL cholesterol levels have demonstrated an increased risk.

El síndrome metabólico es un conjunto de factores de riesgo para enfermedad cardiovascular y diabetes mellitus. En México, su prevalencia se ha reportado en un 49.8%, siendo notablemente mayor que en otros países del mundo. En los últimos 30 años se ha observado un incremento en la incidencia de cáncer de mama en México, alcanzando a ser la neoplasia con mayor frecuencia y mortalidad en el año 2018. A finales de la década de los noventa, múltiples estudios observacionales identificaron una asociación entre síndrome metabólico y un incremento en el riesgo de cáncer de mama. Actualmente se postulan, por lo menos, tres mecanismos interrelacionados que explican el incremento en el riesgo de cáncer asociado a síndrome metabólico: el primero de ellos es el aumento en los niveles de estrógenos derivados del tejido adiposo, en segundo lugar la hiperinsulinemia y su efecto anabólico sobre las células epiteliales y, finalmente, el efecto endócrino de la grasa abdominal. Los componentes del síndrome metabólico asociados a un incremento en el riesgo de cáncer de mama son: diabetes mellitus tipo 2 con un riesgo relativo de 1.27 (IC95%: 1.16-1.39), la obesidad en mujeres posmenopáusicas con un riesgo relativo de 1.39 (IC95%: 1.14-1.70) y, finalmente, los niveles bajos de HDL que han mostrado un incremento en el riesgo.

The low-harm score for predicting mortality in patients diagnosed with COVID-19: A multicentric validation study.

Objective: We sought to determine the accuracy of the LOW-HARM score (Lymphopenia, Oxygen saturation, White blood cells, Hypertension, Age, Renal injury, and Myocardial injury) for predicting death from coronavirus disease 2019) COVID-19. Methods: We derived the score as a concatenated Fagan's nomogram for Bayes theorem using data from published cohorts of patients with COVID-19. We validated the score on 400 consecutive COVID-19 hospital admissions (200 deaths and 200 survivors) from 12 hospitals in Mexico. We determined the sensitivity, specificity, and predictive values of LOW-HARM for predicting hospital death. Results: LOW-HARM scores and their distributions were significantly lower in patients who were discharged compared to those who died during their hospitalization 5 (SD: 14) versus 70 (SD: 28). The overall area under the curve for the LOW-HARM score was 0.96, (95% confidence interval: 0.94-0.98). A cutoff > 65 points had a specificity of 97.5% and a positive predictive value of 96%. Conclusions: The LOW-HARM score measured at hospital admission is highly specific and clinically useful for predicting mortality in patients with COVID-19.

Manifestaciones neurológicas en pacientes con COVID-19 severo en un centro de tercer nivel de atención / Neurological manifestations in patients with severe COVID-19 in a tertiary care center

Introducción: la enfermedad por SARS-CoV-2 denominada COVID-19 originada en China adquirió dimensiones pandémicas. De acuerdo con el reporte situacional de la OMS al 15 de marzo de 2021, la tasa de letalidad global es del 2.2%; en México se han confirmado alrededor de 194 944 defunciones por COVID-19. Estudios en China identificaron que los pacientes con COVID-19 severo, al compararlos con aquellos que cursaron con COVID-19 no severo, presentaron manifestaciones neurológicas más graves. Objetivo: determinar la frecuencia de síntomas y manifestaciones neurológicas en pacientes con COVID-19 severo en un centro de tercer nivel de atención. Material y métodos: estudio transversal, observacional y analítico, llevado a cabo en el Hospital de Especialidades del Centro Médico Nacional Siglo XXI, en pacientes hospitalizados con COVID-19 severo. Resultados: se analizaron 183 casos, de los cuales 130 eran hombres (71%). La mediana de edad fue de 55 años (RIC: 44-65). Los síntomas neurológicos fueron: cefalea, anosmia y disgeusia. Las manifestaciones neurológicas se presentaron en 27 pacientes, la más frecuente fue la enfermedad vascular cerebral tipo isquémica (EVC) en 12 pacientes (44%) en pacientes con mayor edad, 76.5 frente a 54 años (p = 0.000), y con antecedente de enfermedad cardiovascular. Conclusiones: los síntomas neurológicos más frecuentes fueron cefalea, anosmia y disgeusia. La manifestación neurológica más frecuente fue la EVC isquémica que se presentó en pacientes con COVID-19 severo de mayor edad y con antecedente de enfermedad cardiovascular.

Background: The SARS-CoV-2 disease, called COVID-19, emerged in China has acquired pandemic dimensions. According to the WHO situational report of March 15, 2021, the global fatality rate is 2.2%; in Mexico, around 194 944 deaths have been confirmed by COVID-19. Studies in China identified that patients with severe COVID-19, when compared with those who had non-severe COVID-19, presented more severe neurological manifestations. Objective: To determine the frequency of neurological symptoms and manifestations in patients with severe COVID-19 in a tertiary care center. Material and methods: A cross-sectional, observational and analytical study was carried out at the Hospital de Especialidades del Centro Médico Nacional Siglo XXI, in patients hospitalized with severe COVID-19. Results: 183 cases were analyzed, of which 130 were men (71%). The median age was 55 years (IQR: 44-65). The neurological symptoms were: headache, anosmia and dysgeusia. Neurological manifestations occurred in 27 patients (16%), the most frequent was ischemic-type cerebrovascular disease (CVD) in 12 (44%), in patients older than 76.5 years vs. 54 years (p = 0.000), with history of cardiovascular disease. Conclusions: The most frequent neurological symptoms were headache, anosmia and dysgeusia. The most frequent neurological manifestation was ischemic CVD that appeared in older patients with severe COVID-19 with a history of cardiovascular disease.

Asociación de los índices neutrófilo/linfocito y linfocito/proteína C reactiva con mortalidad por COVID-19 / Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Resumen Introducción: Los índices neutrófilo/linfocito (INL) y linfocito/proteína C reactiva (ILR) se usan para predecir severidad y mortalidad en diversas infecciones. Objetivo: Establecer en México el mejor punto de corte de INL e ILR para predecir la mortalidad en pacientes hospitalizados por COVID-19. Método: Estudio transversal analítico de pacientes hospitalizados por COVID-19 grave en un hospital de especialidades. Resultados: Falleció 34 % de 242 pacientes analizados. Los sujetos fallecidos tenían mayor edad (62 versus 51 años, p < 0.001), mayor prevalencia de hipertensión arterial sistémica > 10 años (59.4 versus 45.1 %, p = 0.022), así como INL más alto (17.66 versus 8.31, p < 0.001) e ILR más bajo (0.03 versus 0.06, p < 0.002) respecto a quienes sobrevivieron. Los puntos de corte para predecir mortalidad fueron INL > 12 e ILR < 0.03. La combinación de INL e ILR tuvo sensibilidad de 80 %, especificidad de 74 %, valor predictivo positivo de 46.15 %, valor predictivo negativo de 93.02 % y razón de momios de 11.429 para predecir la mortalidad. Conclusión: INL > 12 e ILR < 0.03 son biomarcadores útiles para evaluar el riesgo de mortalidad en pacientes mexicanos con COVID-19 grave.

Abstract Introduction: Neutrophil-to-lymphocyte (NLR) and lymphocyte-to-C-reactive protein (LCR) ratios are used to predict severity and mortality in various infections. Objective: To establish the best NLR and LCR cutoff point to predict mortality in patients hospitalized for COVID-19 in Mexico. Method: Analytical cross-sectional study of patients hospitalized for severe COVID-19 in a specialty hospital. Results: Out of 242 analyzed patients, 34 % died. The deceased subjects were older (62 vs. 51 years; p < 0.001), had a higher prevalence of > 10 years with systemic arterial hypertension (59.4 vs. 45.1 %, p = 0.022), as well as a higher NLR (17.66 vs. 8.31, p < 0.001) and lower LCR (0.03 vs. 0.06, p < 0.002] with regard to those who survived. The cutoff points to predict mortality were NLR > 12 and LCR < 0.03. The combination of NLR/LCR had a sensitivity of 80 %, specificity of 74 %, positive predictive value of 46.15 %, negative predictive value of 93.02 % and an odds ratio of 11.429 to predict mortality. Conclusion: NLR > 12 and LCR < 0.03 are useful biomarkers to evaluate the risk of mortality in Mexican patients with severe COVID- 19.