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.

Reply to Scarpati, G.; Piazza, O. Comment on "Guerrero-Romero et al. Magnesium-to-Calcium Ratio and Mortality from COVID-19. Nutrients 2022, 14, 1686".

We thank Dr. Scarpati and Dr. Piazza for their interest and comments [...].

Magnesium-to-Calcium Ratio and Mortality from COVID-19.

Obesity, type 2 diabetes, arterial hypertension, decrease in immune response, cytokine storm, endothelial dysfunction, and arrhythmias, which are frequent in COVID-19 patients, are associated with hypomagnesemia. Given that cellular influx and efflux of magnesium and calcium involve the same transporters, we aimed to evaluate the association of serum magnesium-to-calcium ratio with mortality from severe COVID-19. The clinical and laboratory data of 1064 patients, aged 60.3 ± 15.7 years, and hospitalized by COVID-19 from March 2020 to July 2021 were analyzed. The data of 554 (52%) patients discharged per death were compared with the data of 510 (48%) patients discharged per recovery. The ROC curve showed that the best cut-off point of the magnesium-to-calcium ratio for identifying individuals at high risk of mortality from COVID-19 was 0.20. The sensitivity and specificity were 83% and 24%. The adjusted multivariate regression model showed that the odds ratio between the magnesium-to-calcium ratio ≤0.20 and discharge per death from COVID-19 was 6.93 (95%CI 1.6-29.1) in the whole population, 4.93 (95%CI 1.4-19.1, p = 0.003) in men, and 3.93 (95%CI 1.6-9.3) in women. In conclusion, our results show that a magnesium-to-calcium ratio ≤0.20 is strongly associated with mortality in patients with severe COVID-19.

Real-world evidence of the use of glucocorticoids for severe COVID-19.

INTRODUCTION: Currently, only glucocorticoids have proved to impact adverse outcomes in COVID-19. However, their risk/benefit balance remains inconclusive and populations' characteristics should be considered. OBJECTIVE: The objective was to evaluate the real-life use of glucocorticoids in patients with severe COVID-19 hospitalized in a third-level referral center and to determine the type, accumulated doses, and the in-hospital outcomes related with their use. METHODS: We evaluated a retrospective cohort of 737 patients with criteria for severe COVID-19 and a positive polymerase chain reaction (PCR) test for SARS-CoV-2. We extracted data for epidemiological analysis, medical history, and medications, as well as baseline laboratory tests. Data were analyzed using SPSS 21.0 and nonparametric tests, medians, and interquartile ranges (IQR). A p < 0.05 was considered significant. RESULTS: A total of 65.3% were men, with a median age of 59 years (IQR 46-70) and a median of 10 days of hospital stay (IQR 6-16), more than 40% had diabetes, hypertension, and/or obesity, and 0.8% used steroids chronically. At the time of the study, 54.0% had been discharged due to improvement and 40.8% died. The most common treatment used was dexamethasone 6 mg/day/10 days (46.6%). Patients with a complete dexamethasone scheme [as proposed by the Randomized Evaluation of COVID-19 Therapy (RECOVERY) study] had a lower mortality risk [hazard ratio (HR) 0.441, 95% confidence interval (CI) 0.232-0.840] in comparison with patients with lower doses (HR 1.803, 95% CI 1.080-3.012). Patients with methylprednisolone or several steroids tended to have higher cumulative doses (equivalent to >675 mg of prednisolone). CONCLUSION: The use of steroids in severe COVID-19 reduces mortality only at the dose proposed in the RECOVERY study in the younger population. No benefit of the use of steroids was observed in patients with older age or higher number of comorbidities.

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.

The tale of two pandemics: High prevalence of severe obesity among patients with suspected COVID-19

Background: Obesity is frequent in Mexico, but its importance for COVID-19 is still under debate. We aimed to describe its frequency in patients with severe COVID-19 in a referral hospital. Materials and methods: 167 patients hospitalized for suspicious or confirmed COVID-19, 66.7% male with a median age of 54 (interquartile range 43-63) were classified according to BMI and evaluated for comorbidities, coronavirus-2 polymerase chain reaction test results, and reason for discharge. Results: 75.3% of the patients were overweight or obese and 7.8% had grade III obesity. Increasing BMI related to higher probabilities of hyperglycemia (fasting glucose > 100 mg/dL, p = 0.044), but other comorbidities were similar among groups. The mortality rate among patients with Grade I obesity was 11%, whereas 33% of patients with either underweight or Grade III obesity died, depicting a U-shaped mortality curve. Conclusions: Obesity and its comorbidities are common in hospitalized patients in Mexico. Special efforts must be made to detect them, and further interventions to control the obesity pandemic will also be necessary to improve long-term results. Antecedentes: la obesidad severa es frecuente en México, pero su impacto en el COVID-19 es debatida. Buscamos describir su frecuencia en pacientes con COVID-19 severo en un hospital de referencia. Material y métodos: 167 pacientes hospitalizados con COVID-19 (sospechoso o confirmado), 66.7% hombres con una mediana de edad de 54 años (rangos intercuartílicos 43-63) se clasificaron de acuerdo al IMC, sus comorbilidades, la prueba de reacción de polimerasa para coronavirus-2 y causa de egreso. Resultados: 75.3% tenían sobrepeso u obesidad y 7.8% estaban en obesidad grado III. El aumento de IMC se relacionó con mayor probabilidad de hiperglucemia (glucosa en ayuno > 100 mg/dL, p=0.044), otras comorbilidades fueron similares entre grupos. La portalidad en pacientes con obesidad grado I fue 11% y 33% en peso bajo u obesidad grado III, mostrando una curva con forma de U. Conclusiones: La obesidad y sus comorbilidades son comunes en pacientes hospitalizados en México. Se deben hacer esfuerzos especiales por detectarlas y se necesitarán intervenciones sobre la pandemia de obesidad para mejorar resultados a largo plazo.

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

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.

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.

Case Report: Rhabdomyolysis in a Patient with COVID-19: A Proposed Diagnostic-Therapeutic Algorithm.

COVID-19 represents the greatest health challenge of modern years. The spectrum of illness comprises respiratory and non-respiratory manifestations. We report the case of an adult man with COVID-19 who presented with rhabdomyolysis as a principal extrapulmonary manifestation. Our patient presented with dyspnea, fever, and muscle pain. After a comprehensive approach, the diagnosis of COVID-19 and rhabdomyolysis was made. He developed acute kidney injury requiring renal replacement therapy without reversibility, despite optimal treatment. We performed a literature search for similar cases, discuss the potential mechanisms implied, and propose a diagnostic-therapeutic algorithm.