RESUMO

INTRODUCTION: Biomarkers that help to evaluate the immune system and could be useful in multiple sclerosis (MS) are the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and systemic immune-inflammatory index (SII). The objective of this work is to evaluate the significance of the SII index, PLR, and NLR before and after transplantation in individuals with MS who underwent autologous hematopoietic stem cell transplant (aHSCT) at a single institution. METHODS: Patients with MS who received an aHSCT between 2017 and 2022 were included in the study. NLR, PLR, and SII index were calculated prior to the transplant and 100 days after, and evaluation of the expanded disability status scale (EDSS) was done before the transplant and 12 months after. The cohort was divided into two groups: aHSCT responders (R) and nonresponders (NR). RESULTS: Fifty-eight individuals were examined: 37 patients in the responders group R group and 21 in NR group. There was no statistically significant difference in the SII, NLR, and PLR prior to the transplant, however at 100 days post-HSCT, NLR in the R group was 1.8 versus 3.1 in the NR group (p = 0.003), PLR was 194 versus 295, respectively (p = 0.024), meanwhile SII index was 489.5 versus 729.3 (p < 0.001). CONCLUSION: High NLR and SII index values after the aHSCT were associated with a worsening in the EDSS score. However, since this is the first ever study that compared NLR and SII index with the aHSCT response in persons with MS, further studies must be performed to corroborate this information.

Assuntos

RESUMO

BACKGROUND: Information on the association between the systemic immune-inflammation index (SII) and white matter hyperintensities (WMH) of presumed vascular origin is confined to cross-sectional studies. We sought to evaluate the impact of SII on WMH progression in community-dwelling older adults. METHODS: Following a longitudinal prospective study design, participants of a population-based cohort received baseline blood tests to calculate the SII (platelets x neutrophils / lymphocytes x 109 L) together with clinical interviews and brain MRIs. Participants with follow-up brain MRI were included in the analysis. Poisson regression models adjusted for demographics and cardiovascular risk factors were fitted to assess the incidence rate ratio of WMH progression by levels of the SII. RESULTS: Across 246 study participants (mean age: 65.5 ± 5.9 years; 55% women), the mean SII was 434.7 ± 193.8 × 109 L, and WMH progression was found in 101 (41%) individuals after a mean of 7.3 ± 1.5 years. A multivariate Poisson regression model showed increased WMH progression rate among individuals in the fourth quartile of the SII compared with those in the first quartile (IRR: 1.87; 95% C.I.: 1.02-3.41). CONCLUSIONS: Study results provided novel evidence of an independent association between the SII and WMH progression. The SII may be able to identify individuals at high risk of WMH progression.

Assuntos

RESUMO

Introduction: The hemogram and hemogram-derivative ratios (HDRs) are becoming markers of the severity and mortality of COVID-19. We evaluated the hemograms and serial weekly HDRs [neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), neutrophil-platelet ratio (NPR) and systemic immune-inflammatory index (SII)] in the survivors and non-survivors of COVID-19. Methods: We retrospectively reviewed the medical notes and serial hemograms of real-time reverse-transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19 adults hospitalized from April 2020 to March 2021 from the time of diagnosis to the 3rd week of diagnosis. Results: Of the 320 adults, 257 (80.3%) were survivors and had a lower mean age than the non-survivors (57.73 vs. 64.65 years, p < 0.001). At diagnosis, the non-survivors had lower lymphocyte (p = 0.002) and basophil (p = 0.049) counts and the hematocrit showed a p-value (Is this what you meant???) of 0.021); higher NLR (p < 0.001), PLR (p = 0.047), NPR (p = 0.022) and SII (p = 0.022). Using general linear models, the survivors and non-survivors showed significant variations with weekly lymphocyte count (p < 0.001), neutrophil count (p = 0.005), NLR (p = 0.009), MLR (p = 0.010) and PLR (p = 0.035). All HDRs remained higher in the non-survivors in the 2nd week and 3rd week of diagnosis and the HDRs were higher in the intubated patients than in the non-intubated patients. The NLR and SII were more efficient predictors of mortality in COVID-19 patients. Conclusions: This study shows that serial lymphocyte and neutrophil counts, NLR, PLR, MLR, NPR and SII could serve as good and easily accessible markers of severity and predictors of outcomes in COVID-19 patients and should be used for the monitoring of treatment response.

RESUMO

Resumen ANTECEDENTES: se han estudiado índices de pronóstico de inflamación basados en células periféricas como predictores de disfunción endotelial, riesgo cardiovascular y mortalidad. En 2014 se desarrolló el índice de inmunidad-inflamación sistémica (IIS) que se ha propuesto como factor de pronóstico y de seguimiento en cáncer. OBJETIVO: determinar si existe modificación del índice de inmunidad-inflamación sistémica (IIS) en pacientes con sepsis. MATERIAL Y MÉTODO: estudio retrospectivo que incluyó aleatoriamente a pacientes hospitalizados de 2013 a 2015. Se verificó la homogeneidad de poblaciones demostrando que no existía diferencia estadística entre la edad y comorbilidades (distribución Kolmogorov-Smirnov), frecuencia de comorbilidades (χ2). Se calculó el IIS con la citometría hemática de ingreso. Se compararon las medias del IIS de pacientes con sepsis y sin sepsis (Wilcoxon) y se determinó si había correlación entre el IIS y sepsis (coeficiente de correlación biserial puntual). RESULTADOS: se incluyeron 242 pacientes (128 con sepsis, edad promedio de 70.1 años y 114 sin sepsis, edad promedio de 69.7 años). La media del índice de inmunidad-inflamación sistémica (IIS) en pacientes con sepsis fue 4444.06x109, en pacientes sin sepsis fue de 3013.94x109. Se demostró que existe correlación estadísticamente significativa entre el IIS y sepsis (rbp= 0.150253625, p=0.05), se demostró que la media del IIS fue significativamente más elevada en pacientes con sepsis (W=5,097, p=0.00001). CONCLUSIONES: el índice de inmunidad-inflamación sistémica (IIS), un índice innovador que ha mostrado mejor efectividad para describir el desequilibrio de inmunidad e inflamación, se propone como una herramienta que puede ser útil en pacientes con sepsis; sin embargo, se requieren estudios futuros para comprobar su potencial pronóstico y de seguimiento.

Abstract BACKGROUND: In the past several indices based on peripheral blood cells have been studied to prove their utility as prognostic factors in endothelial dysfunction, cardiovascular risk and mortality. In 2014 the systemic immune inflammatory index (SII) was developed and it has been proposed as a prognostic factor in the follow-up of patients with cancer. OBJECTIVE: To determine if there is a modification of the SII in patients with sepsis. MATERIAL AND METHOD: A retrospective study included randomized patients hospitalized from 2013 to 2015; homogeneity of populations was verified by demonstrating that there was no statistical difference between age and comorbidities (Kolmogorov-Smirnov distribution), frequency of comorbidities (χ2). IIS was calculated with the blood cell count on hospital admission. IIS was compared in sepsis and without sepsis patients (Wilcoxon), and we determined whether there was correlation between IIS and sepsis (correlation coefficient biserial point). RESULTS: There were included 242 patients (128 with sepsis, mean age 70.1 years and 114 without sepsis, mean age 69.7 years). The mean IIS in patients with sepsis was 4444.06x109 and without sepsis 301 3.94x109. We showed that there was statistically significant cor relation between IIS and sepsis (rbp=0.150253625, p=0.05), we also detailed that the mean IIS was significantly higher in patients with sepsis (W=5,097, p=0.00001). CONCLUSIONS: The IIS, an innovative index that has shown accuracy describing the imbalance of immunity and inflammation, is proposed as a tool that can be useful in patients with sepsis; however, further studies are required to prove its potential in prognosis and monitoring.