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.

Utility of Fasting C-Peptide for the Diagnostic Differentiation of Patients with Type 1, Type 2 Diabetes, MODY, and LADA.

BACKGROUND: The prevalence of obesity has increased in patients with type 1 diabetes (T1D) and latent autoimmune diabetes of the adult (LADA), limiting the use of clinical features such as the body mass index for its differentiation with type 2 diabetes (T2D). Additionally, some patients with maturity-onset diabetes of the young (MODY) or LADA are misdiagnosed as having T2D. The evaluation of autoantibodies and genetic testing are not fully available. We aimed to evaluate the utility of a widely available and less expensive diagnostic tool such as C-peptide to differentiate between T1D, T2D, MODY, and LADA. METHODS: Our study included 38 patients with T1D, 49 with T2D, 13 with MODY, and 61 with LADA. We recorded anthropometric measurements, biochemical profiles, and antidiabetic treatment and determined C-peptide, anti-GAD65, and anti-IA2 antibodies. RESULTS: C-peptide concentration differed significantly among populations (T1D: 0.2 ng/mL; T2D: 2.4 ng/mL; MODY: 1.14 ng/mL; LADA: 1.87 ng/mL). Through a ROC curve, we observed that the C-peptide cut-off point of 0.95 ng/mL allows differentiation between T1D and T2D (sensitivity 82%, specificity 77%); 0.82 ng/mL between T1D and LADA (sensitivity 82%, specificity 77%); and 1.65 ng/mL between T2D and MODY (sensitivity 72%, specificity 72%). CONCLUSIONS: C-peptide is useful for the diagnostic differentiation of patients with type 1, type 2 diabetes, MODY, and LADA.

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.

[Adult-onset Still's disease and the neutrophil-lymphocyte index in the Mexican population. A case series report]. / Enfermedad de Still del adulto y el índice neutrófilo/linfocito en población mexicana. Reporte de serie de casos.

BACKGROUND: In Mexico, adult-onset Still's disease (AOSD) is one of the causes of fever of unknown origin (FUO). The aim of this study is to describe a series of AOSD cases from a FUO cohort in order to know the clinical and biochemical characteristics of the cases, as well as to describe the neutrophil-lymphocyte index (NLI), which is a clinical marker of inflammation in autoimmune diseases. CASE REPORT: An observational study of 24 cases with AOSD; 72 % of them were women, the median age was 43 years (IQR 37.7-59.7), and the most frequent manifestations were classic rash (84 %) and arthralgia (100 %). All of them had tested negative for rheumatoid factor, antinuclear antibodies, and hyperferritinemia; 83 % had NLI > 3.08. The most used treatment was the combination of methotrexate with corticosteroids; seven patients required biological therapy, and one of them presented a hypersensitivity reaction. CONCLUSION: When there's FUO, the existence of AOSD should be suspected; also in the presence of rash, arthralgia, hyperferritinemia, and NLI > 3.08.

Antecedentes: En México, la enfermedad de Still del adulto (ESA) es una causa de fiebre de origen desconocido (FOD). El objetivo de este informe fue describir una serie de casos de ESA de una cohorte de FOD para conocer las características clínicas y bioquímicas, así como describir el índice neutrófilo/linfocito (INL), marcador clínico de inflamación en enfermedades autoinmunes. Caso clínico: Estudio observacional de 24 casos con ESA; 72 % fue del sexo femenino, la edad fue de 43 años (37.7-59.7) y las manifestaciones más frecuentes fueron rash clásico (84 %) y artralgias (100 %). Todos tuvieron factor reumatoide, anticuerpos antinucleares negativos e hiperferritinemia; 83 % tuvo INL > 3.08. El tratamiento más empleado fue la combinación de metotrexato y corticosteroides; siete pacientes ameritaron terapia biológica, uno presentó reacción de hipersensibilidad. Conclusión: Ante fiebre de origen desconocido, debe sospecharse ESA si, además, existe rash, artralgias, hiperferritinemia e INL > 3.08.

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.